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: