2022/09/22 22:10:49 - 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: 722363301 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: 1.11.0 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.2 Product Build 20200624 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.12.0 OpenCV: 4.5.5 MMEngine: 0.1.0 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: slurm Distributed training: True GPU number: 16 ------------------------------------------------------------ 2022/09/22 22:10:49 - mmengine - INFO - Config: model = dict( type='Recognizer3D', backbone=dict( type='SwinTransformer3D', pretrained= 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22k.pth', pretrained2d=True, patch_size=(2, 4, 4), embed_dim=192, depths=[2, 2, 18, 2], num_heads=[6, 12, 24, 48], window_size=(8, 7, 7), mlp_ratio=4.0, qkv_bias=True, qk_scale=None, drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.4, patch_norm=True), data_preprocessor=dict( type='ActionDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], format_shape='NCTHW'), cls_head=dict( type='I3DHead', in_channels=1536, num_classes=700, spatial_type='avg', dropout_ratio=0.5, average_clips='prob')) default_scope = 'mmaction' default_hooks = dict( runtime_info=dict(type='RuntimeInfoHook'), timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=100, ignore_last=False), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=3, save_best='auto', max_keep_ckpts=5), sampler_seed=dict(type='DistSamplerSeedHook')) 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 dataset_type = 'VideoDataset' data_root = 'data/kinetics700/videos_train' data_root_val = 'data/kinetics700/videos_val' ann_file_train = 'data/kinetics700/kinetics700_train_list_videos.txt' ann_file_val = 'data/kinetics700/kinetics700_val_list_videos.txt' ann_file_test = 'data/kinetics700/kinetics700_val_list_videos.txt' file_client_args = dict( io_backend='petrel', path_mapping=dict({ 'data/kinetics700': 's254:s3://openmmlab/datasets/action/Kinetics700' })) train_pipeline = [ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/kinetics700': 's254:s3://openmmlab/datasets/action/Kinetics700' })), dict(type='SampleFrames', clip_len=32, frame_interval=2, 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', io_backend='petrel', path_mapping=dict({ 'data/kinetics700': 's254:s3://openmmlab/datasets/action/Kinetics700' })), dict( type='SampleFrames', clip_len=32, frame_interval=2, 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', io_backend='petrel', path_mapping=dict({ 'data/kinetics700': 's254:s3://openmmlab/datasets/action/Kinetics700' })), dict( type='SampleFrames', clip_len=32, frame_interval=2, num_clips=4, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 224)), dict(type='ThreeCrop', crop_size=224), dict(type='FormatShape', input_format='NCTHW'), dict(type='PackActionInputs') ] train_dataloader = dict( batch_size=8, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='VideoDataset', ann_file='data/kinetics700/kinetics700_train_list_videos.txt', data_prefix=dict(video='data/kinetics700/videos_train'), pipeline=[ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/kinetics700': 's254:s3://openmmlab/datasets/action/Kinetics700' })), dict( type='SampleFrames', clip_len=32, frame_interval=2, 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=8, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='VideoDataset', ann_file='data/kinetics700/kinetics700_val_list_videos.txt', data_prefix=dict(video='data/kinetics700/videos_val'), pipeline=[ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/kinetics700': 's254:s3://openmmlab/datasets/action/Kinetics700' })), dict( type='SampleFrames', clip_len=32, frame_interval=2, 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/kinetics700/kinetics700_val_list_videos.txt', data_prefix=dict(video='data/kinetics700/videos_val'), pipeline=[ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/kinetics700': 's254:s3://openmmlab/datasets/action/Kinetics700' })), dict( type='SampleFrames', clip_len=32, frame_interval=2, num_clips=4, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 224)), dict(type='ThreeCrop', crop_size=224), dict(type='FormatShape', input_format='NCTHW'), dict(type='PackActionInputs') ], test_mode=True)) val_evaluator = dict(type='AccMetric') test_evaluator = dict(type='AccMetric') train_cfg = dict( type='EpochBasedTrainLoop', max_epochs=30, val_begin=1, val_interval=3) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') optim_wrapper = dict( type='AmpOptimWrapper', optimizer=dict( type='AdamW', lr=0.002, betas=(0.9, 0.999), weight_decay=0.05), constructor='SwinOptimWrapperConstructor', paramwise_cfg=dict( absolute_pos_embed=dict(decay_mult=0.0), relative_position_bias_table=dict(decay_mult=0.0), norm=dict(decay_mult=0.0), backbone=dict(lr_mult=0.1))) param_scheduler = [ dict( type='LinearLR', start_factor=0.1, by_epoch=True, begin=0, end=2.5, convert_to_iter_based=True), dict( type='CosineAnnealingLR', T_max=30, eta_min=0, by_epoch=True, begin=0, end=30) ] auto_scale_lr = dict(enable=False, base_batch_size=128) launcher = 'slurm' work_dir = './work_dirs/swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb' 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.patch_embed.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.patch_embed.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.patch_embed.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.patch_embed.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.reduction.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.reduction.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.reduction.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.reduction.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.norm.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.norm.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.norm.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.norm.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.1.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.2.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.3.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.4.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.5.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.6.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.7.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.8.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.9.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.10.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.11.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.12.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.13.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.14.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.15.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.16.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.17.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.reduction.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.reduction.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.norm1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.norm1.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.norm1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.norm1.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.attn.relative_position_bias_table: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.attn.relative_position_bias_table: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.attn.qkv.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.attn.qkv.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.attn.qkv.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.attn.qkv.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.attn.proj.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.attn.proj.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.attn.proj.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.attn.proj.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.norm2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.norm2.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.norm2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.norm2.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.mlp.fc1.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.mlp.fc1.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.mlp.fc1.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.mlp.fc1.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.mlp.fc2.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.mlp.fc2.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.mlp.fc2.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.mlp.fc2.bias: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.norm.weight: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.norm.weight: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.norm.bias: lr = 0.0002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- backbone.norm.bias: weight_decay = 0.0 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- cls_head.fc_cls.weight: lr = 0.002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- cls_head.fc_cls.weight: weight_decay = 0.05 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- cls_head.fc_cls.bias: lr = 0.002 2022/09/22 22:10:53 - mmengine - INFO - paramwise_options -- cls_head.fc_cls.bias: weight_decay = 0.05 2022/09/22 22:10:54 - mmengine - INFO - load model from: https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22k.pth 2022/09/22 22:11:01 - mmengine - INFO - _IncompatibleKeys(missing_keys=['layers.0.blocks.0.attn.relative_position_index', 'layers.0.blocks.1.attn.relative_position_index', 'layers.1.blocks.0.attn.relative_position_index', 'layers.1.blocks.1.attn.relative_position_index', 'layers.2.blocks.0.attn.relative_position_index', 'layers.2.blocks.1.attn.relative_position_index', 'layers.2.blocks.2.attn.relative_position_index', 'layers.2.blocks.3.attn.relative_position_index', 'layers.2.blocks.4.attn.relative_position_index', 'layers.2.blocks.5.attn.relative_position_index', 'layers.2.blocks.6.attn.relative_position_index', 'layers.2.blocks.7.attn.relative_position_index', 'layers.2.blocks.8.attn.relative_position_index', 'layers.2.blocks.9.attn.relative_position_index', 'layers.2.blocks.10.attn.relative_position_index', 'layers.2.blocks.11.attn.relative_position_index', 'layers.2.blocks.12.attn.relative_position_index', 'layers.2.blocks.13.attn.relative_position_index', 'layers.2.blocks.14.attn.relative_position_index', 'layers.2.blocks.15.attn.relative_position_index', 'layers.2.blocks.16.attn.relative_position_index', 'layers.2.blocks.17.attn.relative_position_index', 'layers.3.blocks.0.attn.relative_position_index', 'layers.3.blocks.1.attn.relative_position_index'], unexpected_keys=['head.weight', 'head.bias']) 2022/09/22 22:11:01 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/mmaction2/work_dirs/swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb by HardDiskBackend. 2022/09/22 22:13:48 - mmengine - INFO - Epoch(train) [1][100/4238] lr: 2.1682e-05 eta: 2 days, 10:52:41 time: 0.9777 data_time: 0.0127 memory: 68898 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 6.1922 loss: 6.1922 2022/09/22 22:15:27 - mmengine - INFO - Epoch(train) [1][200/4238] lr: 2.3381e-05 eta: 1 day, 22:48:08 time: 0.9768 data_time: 0.0123 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.5833 loss: 4.5833 2022/09/22 22:17:05 - mmengine - INFO - Epoch(train) [1][300/4238] lr: 2.5080e-05 eta: 1 day, 18:43:01 time: 0.9801 data_time: 0.0130 memory: 68898 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7584 loss: 3.7584 2022/09/22 22:18:43 - mmengine - INFO - Epoch(train) [1][400/4238] lr: 2.6779e-05 eta: 1 day, 16:39:27 time: 0.9765 data_time: 0.0127 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3941 loss: 3.3941 2022/09/22 22:20:21 - mmengine - INFO - Epoch(train) [1][500/4238] lr: 2.8478e-05 eta: 1 day, 15:24:42 time: 0.9824 data_time: 0.0131 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9985 loss: 2.9985 2022/09/22 22:22:00 - mmengine - INFO - Epoch(train) [1][600/4238] lr: 3.0177e-05 eta: 1 day, 14:35:34 time: 0.9754 data_time: 0.0130 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1171 loss: 3.1171 2022/09/22 22:23:38 - mmengine - INFO - Epoch(train) [1][700/4238] lr: 3.1877e-05 eta: 1 day, 13:58:55 time: 0.9773 data_time: 0.0129 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9131 loss: 2.9131 2022/09/22 22:25:16 - mmengine - INFO - Epoch(train) [1][800/4238] lr: 3.3576e-05 eta: 1 day, 13:30:53 time: 0.9784 data_time: 0.0126 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9471 loss: 2.9471 2022/09/22 22:26:55 - mmengine - INFO - Epoch(train) [1][900/4238] lr: 3.5275e-05 eta: 1 day, 13:09:11 time: 0.9979 data_time: 0.0152 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6343 loss: 2.6343 2022/09/22 22:28:34 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/22 22:28:34 - mmengine - INFO - Epoch(train) [1][1000/4238] lr: 3.6974e-05 eta: 1 day, 12:52:23 time: 0.9814 data_time: 0.0145 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5914 loss: 2.5914 2022/09/22 22:30:12 - mmengine - INFO - Epoch(train) [1][1100/4238] lr: 3.8673e-05 eta: 1 day, 12:37:44 time: 0.9864 data_time: 0.0142 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6017 loss: 2.6017 2022/09/22 22:31:51 - mmengine - INFO - Epoch(train) [1][1200/4238] lr: 4.0372e-05 eta: 1 day, 12:25:30 time: 0.9792 data_time: 0.0150 memory: 68898 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6667 loss: 2.6667 2022/09/22 22:33:29 - mmengine - INFO - Epoch(train) [1][1300/4238] lr: 4.2071e-05 eta: 1 day, 12:14:44 time: 0.9892 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2404 loss: 2.2404 2022/09/22 22:35:08 - mmengine - INFO - Epoch(train) [1][1400/4238] lr: 4.3770e-05 eta: 1 day, 12:05:48 time: 0.9848 data_time: 0.0150 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5329 loss: 2.5329 2022/09/22 22:36:47 - mmengine - INFO - Epoch(train) [1][1500/4238] lr: 4.5469e-05 eta: 1 day, 11:57:22 time: 1.0044 data_time: 0.0162 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6488 loss: 2.6488 2022/09/22 22:38:25 - mmengine - INFO - Epoch(train) [1][1600/4238] lr: 4.7168e-05 eta: 1 day, 11:49:34 time: 0.9794 data_time: 0.0152 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4020 loss: 2.4020 2022/09/22 22:40:04 - mmengine - INFO - Epoch(train) [1][1700/4238] lr: 4.8867e-05 eta: 1 day, 11:42:44 time: 0.9932 data_time: 0.0155 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6050 loss: 2.6050 2022/09/22 22:41:42 - mmengine - INFO - Epoch(train) [1][1800/4238] lr: 5.0566e-05 eta: 1 day, 11:36:13 time: 0.9824 data_time: 0.0160 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6967 loss: 2.6967 2022/09/22 22:43:20 - mmengine - INFO - Epoch(train) [1][1900/4238] lr: 5.2265e-05 eta: 1 day, 11:30:22 time: 0.9846 data_time: 0.0157 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7317 loss: 2.7317 2022/09/22 22:44:59 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/22 22:44:59 - mmengine - INFO - Epoch(train) [1][2000/4238] lr: 5.3965e-05 eta: 1 day, 11:25:05 time: 0.9869 data_time: 0.0188 memory: 68898 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5140 loss: 2.5140 2022/09/22 22:46:38 - mmengine - INFO - Epoch(train) [1][2100/4238] lr: 5.5664e-05 eta: 1 day, 11:20:04 time: 0.9801 data_time: 0.0161 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5686 loss: 2.5686 2022/09/22 22:48:17 - mmengine - INFO - Epoch(train) [1][2200/4238] lr: 5.7363e-05 eta: 1 day, 11:16:28 time: 1.0166 data_time: 0.0209 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2629 loss: 2.2629 2022/09/22 22:49:57 - mmengine - INFO - Epoch(train) [1][2300/4238] lr: 5.9062e-05 eta: 1 day, 11:12:38 time: 0.9902 data_time: 0.0160 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4160 loss: 2.4160 2022/09/22 22:51:36 - mmengine - INFO - Epoch(train) [1][2400/4238] lr: 6.0761e-05 eta: 1 day, 11:08:40 time: 0.9901 data_time: 0.0157 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6586 loss: 2.6586 2022/09/22 22:53:14 - mmengine - INFO - Epoch(train) [1][2500/4238] lr: 6.2460e-05 eta: 1 day, 11:04:45 time: 0.9796 data_time: 0.0164 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4206 loss: 2.4206 2022/09/22 22:54:53 - mmengine - INFO - Epoch(train) [1][2600/4238] lr: 6.4159e-05 eta: 1 day, 11:00:45 time: 0.9847 data_time: 0.0157 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4557 loss: 2.4557 2022/09/22 22:56:31 - mmengine - INFO - Epoch(train) [1][2700/4238] lr: 6.5858e-05 eta: 1 day, 10:56:48 time: 0.9811 data_time: 0.0156 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4058 loss: 2.4058 2022/09/22 22:58:10 - mmengine - INFO - Epoch(train) [1][2800/4238] lr: 6.7557e-05 eta: 1 day, 10:53:22 time: 0.9864 data_time: 0.0158 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8375 loss: 2.8375 2022/09/22 22:59:49 - mmengine - INFO - Epoch(train) [1][2900/4238] lr: 6.9256e-05 eta: 1 day, 10:50:11 time: 0.9939 data_time: 0.0162 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4838 loss: 2.4838 2022/09/22 23:01:28 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/22 23:01:28 - mmengine - INFO - Epoch(train) [1][3000/4238] lr: 7.0955e-05 eta: 1 day, 10:47:06 time: 0.9926 data_time: 0.0162 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6335 loss: 2.6335 2022/09/22 23:03:07 - mmengine - INFO - Epoch(train) [1][3100/4238] lr: 7.2654e-05 eta: 1 day, 10:44:13 time: 0.9976 data_time: 0.0163 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2011 loss: 2.2011 2022/09/22 23:04:46 - mmengine - INFO - Epoch(train) [1][3200/4238] lr: 7.4353e-05 eta: 1 day, 10:41:29 time: 0.9870 data_time: 0.0155 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4378 loss: 2.4378 2022/09/22 23:06:25 - mmengine - INFO - Epoch(train) [1][3300/4238] lr: 7.6052e-05 eta: 1 day, 10:38:47 time: 0.9916 data_time: 0.0164 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6823 loss: 2.6823 2022/09/22 23:08:04 - mmengine - INFO - Epoch(train) [1][3400/4238] lr: 7.7752e-05 eta: 1 day, 10:35:51 time: 0.9907 data_time: 0.0156 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3464 loss: 2.3464 2022/09/22 23:09:43 - mmengine - INFO - Epoch(train) [1][3500/4238] lr: 7.9451e-05 eta: 1 day, 10:33:24 time: 0.9986 data_time: 0.0161 memory: 68898 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4258 loss: 2.4258 2022/09/22 23:11:22 - mmengine - INFO - Epoch(train) [1][3600/4238] lr: 8.1150e-05 eta: 1 day, 10:30:51 time: 0.9782 data_time: 0.0161 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2990 loss: 2.2990 2022/09/22 23:13:01 - mmengine - INFO - Epoch(train) [1][3700/4238] lr: 8.2849e-05 eta: 1 day, 10:28:09 time: 0.9816 data_time: 0.0155 memory: 68898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5989 loss: 2.5989 2022/09/22 23:14:39 - mmengine - INFO - Epoch(train) [1][3800/4238] lr: 8.4548e-05 eta: 1 day, 10:25:26 time: 0.9818 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3661 loss: 2.3661 2022/09/22 23:16:20 - mmengine - INFO - Epoch(train) [1][3900/4238] lr: 8.6247e-05 eta: 1 day, 10:23:41 time: 0.9875 data_time: 0.0158 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2106 loss: 2.2106 2022/09/22 23:17:58 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/22 23:17:58 - mmengine - INFO - Epoch(train) [1][4000/4238] lr: 8.7946e-05 eta: 1 day, 10:21:09 time: 0.9893 data_time: 0.0161 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3618 loss: 2.3618 2022/09/22 23:19:38 - mmengine - INFO - Epoch(train) [1][4100/4238] lr: 8.9645e-05 eta: 1 day, 10:18:47 time: 1.0015 data_time: 0.0163 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2942 loss: 2.2942 2022/09/22 23:21:17 - mmengine - INFO - Epoch(train) [1][4200/4238] lr: 9.1344e-05 eta: 1 day, 10:16:43 time: 0.9937 data_time: 0.0157 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2571 loss: 2.2571 2022/09/22 23:21:55 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/22 23:21:55 - mmengine - INFO - Epoch(train) [1][4238/4238] lr: 9.1990e-05 eta: 1 day, 10:16:13 time: 0.9836 data_time: 0.0189 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0808 loss: 2.0808 2022/09/22 23:23:36 - mmengine - INFO - Epoch(train) [2][100/4238] lr: 9.3432e-05 eta: 1 day, 10:06:17 time: 0.9948 data_time: 0.0166 memory: 68898 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2854 loss: 2.2854 2022/09/22 23:25:16 - mmengine - INFO - Epoch(train) [2][200/4238] lr: 9.5127e-05 eta: 1 day, 10:04:23 time: 0.9902 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6793 loss: 2.6793 2022/09/22 23:26:54 - mmengine - INFO - Epoch(train) [2][300/4238] lr: 9.6821e-05 eta: 1 day, 10:02:07 time: 0.9897 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2369 loss: 2.2369 2022/09/22 23:28:33 - mmengine - INFO - Epoch(train) [2][400/4238] lr: 9.8516e-05 eta: 1 day, 10:00:00 time: 0.9877 data_time: 0.0160 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2891 loss: 2.2891 2022/09/22 23:30:12 - mmengine - INFO - Epoch(train) [2][500/4238] lr: 1.0021e-04 eta: 1 day, 9:57:42 time: 0.9859 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4160 loss: 2.4160 2022/09/22 23:31:50 - mmengine - INFO - Epoch(train) [2][600/4238] lr: 1.0190e-04 eta: 1 day, 9:55:32 time: 0.9873 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4374 loss: 2.4374 2022/09/22 23:33:30 - mmengine - INFO - Epoch(train) [2][700/4238] lr: 1.0360e-04 eta: 1 day, 9:53:40 time: 0.9973 data_time: 0.0162 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5523 loss: 2.5523 2022/09/22 23:34:31 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/22 23:35:09 - mmengine - INFO - Epoch(train) [2][800/4238] lr: 1.0529e-04 eta: 1 day, 9:51:48 time: 0.9939 data_time: 0.0174 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4110 loss: 2.4110 2022/09/22 23:36:48 - mmengine - INFO - Epoch(train) [2][900/4238] lr: 1.0699e-04 eta: 1 day, 9:49:36 time: 0.9794 data_time: 0.0164 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4673 loss: 2.4673 2022/09/22 23:38:26 - mmengine - INFO - Epoch(train) [2][1000/4238] lr: 1.0868e-04 eta: 1 day, 9:47:27 time: 0.9853 data_time: 0.0160 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2966 loss: 2.2966 2022/09/22 23:40:05 - mmengine - INFO - Epoch(train) [2][1100/4238] lr: 1.1038e-04 eta: 1 day, 9:45:32 time: 0.9853 data_time: 0.0163 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1881 loss: 2.1881 2022/09/22 23:41:45 - mmengine - INFO - Epoch(train) [2][1200/4238] lr: 1.1207e-04 eta: 1 day, 9:43:48 time: 0.9875 data_time: 0.0160 memory: 68898 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3845 loss: 2.3845 2022/09/22 23:43:24 - mmengine - INFO - Epoch(train) [2][1300/4238] lr: 1.1377e-04 eta: 1 day, 9:41:47 time: 0.9839 data_time: 0.0154 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1580 loss: 2.1580 2022/09/22 23:45:02 - mmengine - INFO - Epoch(train) [2][1400/4238] lr: 1.1546e-04 eta: 1 day, 9:39:44 time: 0.9912 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5407 loss: 2.5407 2022/09/22 23:46:41 - mmengine - INFO - Epoch(train) [2][1500/4238] lr: 1.1715e-04 eta: 1 day, 9:37:45 time: 0.9815 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4493 loss: 2.4493 2022/09/22 23:48:21 - mmengine - INFO - Epoch(train) [2][1600/4238] lr: 1.1885e-04 eta: 1 day, 9:36:08 time: 0.9991 data_time: 0.0162 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1762 loss: 2.1762 2022/09/22 23:49:59 - mmengine - INFO - Epoch(train) [2][1700/4238] lr: 1.2054e-04 eta: 1 day, 9:34:03 time: 0.9838 data_time: 0.0163 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2089 loss: 2.2089 2022/09/22 23:51:01 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/22 23:51:39 - mmengine - INFO - Epoch(train) [2][1800/4238] lr: 1.2224e-04 eta: 1 day, 9:32:15 time: 0.9908 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4555 loss: 2.4555 2022/09/22 23:53:18 - mmengine - INFO - Epoch(train) [2][1900/4238] lr: 1.2393e-04 eta: 1 day, 9:30:20 time: 0.9917 data_time: 0.0164 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3922 loss: 2.3922 2022/09/22 23:54:57 - mmengine - INFO - Epoch(train) [2][2000/4238] lr: 1.2563e-04 eta: 1 day, 9:28:25 time: 0.9909 data_time: 0.0162 memory: 68898 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5364 loss: 2.5364 2022/09/22 23:56:35 - mmengine - INFO - Epoch(train) [2][2100/4238] lr: 1.2732e-04 eta: 1 day, 9:26:25 time: 0.9836 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4913 loss: 2.4913 2022/09/22 23:58:14 - mmengine - INFO - Epoch(train) [2][2200/4238] lr: 1.2902e-04 eta: 1 day, 9:24:23 time: 0.9858 data_time: 0.0168 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3951 loss: 2.3951 2022/09/22 23:59:53 - mmengine - INFO - Epoch(train) [2][2300/4238] lr: 1.3071e-04 eta: 1 day, 9:22:28 time: 0.9883 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5670 loss: 2.5670 2022/09/23 00:01:35 - mmengine - INFO - Epoch(train) [2][2400/4238] lr: 1.3240e-04 eta: 1 day, 9:21:37 time: 0.9889 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0229 loss: 2.0229 2022/09/23 00:03:13 - mmengine - INFO - Epoch(train) [2][2500/4238] lr: 1.3410e-04 eta: 1 day, 9:19:34 time: 0.9802 data_time: 0.0172 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2582 loss: 2.2582 2022/09/23 00:04:52 - mmengine - INFO - Epoch(train) [2][2600/4238] lr: 1.3579e-04 eta: 1 day, 9:17:47 time: 0.9795 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3141 loss: 2.3141 2022/09/23 00:06:32 - mmengine - INFO - Epoch(train) [2][2700/4238] lr: 1.3749e-04 eta: 1 day, 9:16:01 time: 0.9855 data_time: 0.0165 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3508 loss: 2.3508 2022/09/23 00:07:34 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 00:08:11 - mmengine - INFO - Epoch(train) [2][2800/4238] lr: 1.3918e-04 eta: 1 day, 9:14:18 time: 0.9919 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2076 loss: 2.2076 2022/09/23 00:09:51 - mmengine - INFO - Epoch(train) [2][2900/4238] lr: 1.4088e-04 eta: 1 day, 9:12:36 time: 1.0020 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3641 loss: 2.3641 2022/09/23 00:11:30 - mmengine - INFO - Epoch(train) [2][3000/4238] lr: 1.4257e-04 eta: 1 day, 9:10:51 time: 0.9839 data_time: 0.0168 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2551 loss: 2.2551 2022/09/23 00:13:10 - mmengine - INFO - Epoch(train) [2][3100/4238] lr: 1.4426e-04 eta: 1 day, 9:09:14 time: 0.9785 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5103 loss: 2.5103 2022/09/23 00:14:49 - mmengine - INFO - Epoch(train) [2][3200/4238] lr: 1.4596e-04 eta: 1 day, 9:07:25 time: 0.9938 data_time: 0.0163 memory: 68898 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7783 loss: 2.7783 2022/09/23 00:16:28 - mmengine - INFO - Epoch(train) [2][3300/4238] lr: 1.4765e-04 eta: 1 day, 9:05:34 time: 0.9958 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0708 loss: 2.0708 2022/09/23 00:18:06 - mmengine - INFO - Epoch(train) [2][3400/4238] lr: 1.4935e-04 eta: 1 day, 9:03:38 time: 0.9851 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2642 loss: 2.2642 2022/09/23 00:19:46 - mmengine - INFO - Epoch(train) [2][3500/4238] lr: 1.5104e-04 eta: 1 day, 9:01:55 time: 0.9978 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4646 loss: 2.4646 2022/09/23 00:21:25 - mmengine - INFO - Epoch(train) [2][3600/4238] lr: 1.5274e-04 eta: 1 day, 9:00:13 time: 0.9916 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1163 loss: 2.1163 2022/09/23 00:23:05 - mmengine - INFO - Epoch(train) [2][3700/4238] lr: 1.5443e-04 eta: 1 day, 8:58:39 time: 1.0044 data_time: 0.0176 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3522 loss: 2.3522 2022/09/23 00:24:07 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 00:24:44 - mmengine - INFO - Epoch(train) [2][3800/4238] lr: 1.5613e-04 eta: 1 day, 8:56:49 time: 0.9810 data_time: 0.0171 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1396 loss: 2.1396 2022/09/23 00:26:23 - mmengine - INFO - Epoch(train) [2][3900/4238] lr: 1.5782e-04 eta: 1 day, 8:55:03 time: 0.9863 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3445 loss: 2.3445 2022/09/23 00:28:02 - mmengine - INFO - Epoch(train) [2][4000/4238] lr: 1.5951e-04 eta: 1 day, 8:53:17 time: 0.9922 data_time: 0.0166 memory: 68898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4538 loss: 2.4538 2022/09/23 00:29:41 - mmengine - INFO - Epoch(train) [2][4100/4238] lr: 1.6121e-04 eta: 1 day, 8:51:21 time: 0.9816 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2568 loss: 2.2568 2022/09/23 00:31:19 - mmengine - INFO - Epoch(train) [2][4200/4238] lr: 1.6290e-04 eta: 1 day, 8:49:29 time: 0.9891 data_time: 0.0163 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9297 loss: 1.9297 2022/09/23 00:31:57 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 00:31:57 - mmengine - INFO - Epoch(train) [2][4238/4238] lr: 1.6355e-04 eta: 1 day, 8:49:11 time: 0.9742 data_time: 0.0185 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2631 loss: 2.2631 2022/09/23 00:33:38 - mmengine - INFO - Epoch(train) [3][100/4238] lr: 1.6389e-04 eta: 1 day, 8:43:24 time: 0.9854 data_time: 0.0163 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2010 loss: 2.2010 2022/09/23 00:35:16 - mmengine - INFO - Epoch(train) [3][200/4238] lr: 1.6557e-04 eta: 1 day, 8:41:32 time: 0.9803 data_time: 0.0162 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4220 loss: 2.4220 2022/09/23 00:36:55 - mmengine - INFO - Epoch(train) [3][300/4238] lr: 1.6725e-04 eta: 1 day, 8:39:49 time: 0.9943 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1811 loss: 2.1811 2022/09/23 00:38:34 - mmengine - INFO - Epoch(train) [3][400/4238] lr: 1.6893e-04 eta: 1 day, 8:38:06 time: 0.9834 data_time: 0.0184 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4754 loss: 2.4754 2022/09/23 00:40:13 - mmengine - INFO - Epoch(train) [3][500/4238] lr: 1.7061e-04 eta: 1 day, 8:36:23 time: 0.9811 data_time: 0.0161 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9906 loss: 1.9906 2022/09/23 00:40:37 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 00:41:52 - mmengine - INFO - Epoch(train) [3][600/4238] lr: 1.7229e-04 eta: 1 day, 8:34:39 time: 0.9959 data_time: 0.0162 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0989 loss: 2.0989 2022/09/23 00:43:31 - mmengine - INFO - Epoch(train) [3][700/4238] lr: 1.7397e-04 eta: 1 day, 8:32:49 time: 0.9784 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2231 loss: 2.2231 2022/09/23 00:45:10 - mmengine - INFO - Epoch(train) [3][800/4238] lr: 1.7565e-04 eta: 1 day, 8:31:08 time: 0.9895 data_time: 0.0167 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4013 loss: 2.4013 2022/09/23 00:46:49 - mmengine - INFO - Epoch(train) [3][900/4238] lr: 1.7733e-04 eta: 1 day, 8:29:27 time: 0.9852 data_time: 0.0159 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1856 loss: 2.1856 2022/09/23 00:48:28 - mmengine - INFO - Epoch(train) [3][1000/4238] lr: 1.7901e-04 eta: 1 day, 8:27:41 time: 0.9908 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3218 loss: 2.3218 2022/09/23 00:50:08 - mmengine - INFO - Epoch(train) [3][1100/4238] lr: 1.8069e-04 eta: 1 day, 8:26:10 time: 1.0057 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3470 loss: 2.3470 2022/09/23 00:51:47 - mmengine - INFO - Epoch(train) [3][1200/4238] lr: 1.8237e-04 eta: 1 day, 8:24:25 time: 0.9799 data_time: 0.0166 memory: 68898 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6188 loss: 2.6188 2022/09/23 00:53:25 - mmengine - INFO - Epoch(train) [3][1300/4238] lr: 1.8405e-04 eta: 1 day, 8:22:37 time: 0.9886 data_time: 0.0166 memory: 68898 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4657 loss: 2.4657 2022/09/23 00:55:04 - mmengine - INFO - Epoch(train) [3][1400/4238] lr: 1.8573e-04 eta: 1 day, 8:20:51 time: 0.9923 data_time: 0.0163 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2566 loss: 2.2566 2022/09/23 00:56:43 - mmengine - INFO - Epoch(train) [3][1500/4238] lr: 1.8741e-04 eta: 1 day, 8:19:07 time: 0.9791 data_time: 0.0163 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4734 loss: 2.4734 2022/09/23 00:57:07 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 00:58:22 - mmengine - INFO - Epoch(train) [3][1600/4238] lr: 1.8909e-04 eta: 1 day, 8:17:28 time: 0.9863 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2145 loss: 2.2145 2022/09/23 01:00:02 - mmengine - INFO - Epoch(train) [3][1700/4238] lr: 1.9077e-04 eta: 1 day, 8:15:52 time: 1.0006 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3904 loss: 2.3904 2022/09/23 01:01:41 - mmengine - INFO - Epoch(train) [3][1800/4238] lr: 1.9245e-04 eta: 1 day, 8:14:11 time: 0.9993 data_time: 0.0162 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5616 loss: 2.5616 2022/09/23 01:03:20 - mmengine - INFO - Epoch(train) [3][1900/4238] lr: 1.9413e-04 eta: 1 day, 8:12:25 time: 0.9941 data_time: 0.0170 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2080 loss: 2.2080 2022/09/23 01:04:59 - mmengine - INFO - Epoch(train) [3][2000/4238] lr: 1.9581e-04 eta: 1 day, 8:10:45 time: 1.0011 data_time: 0.0186 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1579 loss: 2.1579 2022/09/23 01:06:39 - mmengine - INFO - Epoch(train) [3][2100/4238] lr: 1.9750e-04 eta: 1 day, 8:09:08 time: 0.9984 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2798 loss: 2.2798 2022/09/23 01:08:17 - mmengine - INFO - Epoch(train) [3][2200/4238] lr: 1.9781e-04 eta: 1 day, 8:07:22 time: 0.9842 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3281 loss: 2.3281 2022/09/23 01:09:56 - mmengine - INFO - Epoch(train) [3][2300/4238] lr: 1.9781e-04 eta: 1 day, 8:05:39 time: 0.9906 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2675 loss: 2.2675 2022/09/23 01:11:35 - mmengine - INFO - Epoch(train) [3][2400/4238] lr: 1.9781e-04 eta: 1 day, 8:03:51 time: 0.9801 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3679 loss: 2.3679 2022/09/23 01:13:13 - mmengine - INFO - Epoch(train) [3][2500/4238] lr: 1.9781e-04 eta: 1 day, 8:02:04 time: 0.9858 data_time: 0.0166 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6236 loss: 2.6236 2022/09/23 01:13:37 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 01:14:53 - mmengine - INFO - Epoch(train) [3][2600/4238] lr: 1.9781e-04 eta: 1 day, 8:00:28 time: 0.9973 data_time: 0.0166 memory: 68898 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2164 loss: 2.2164 2022/09/23 01:16:32 - mmengine - INFO - Epoch(train) [3][2700/4238] lr: 1.9781e-04 eta: 1 day, 7:58:49 time: 0.9838 data_time: 0.0166 memory: 68898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4872 loss: 2.4872 2022/09/23 01:18:11 - mmengine - INFO - Epoch(train) [3][2800/4238] lr: 1.9781e-04 eta: 1 day, 7:57:05 time: 0.9961 data_time: 0.0167 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3645 loss: 2.3645 2022/09/23 01:19:50 - mmengine - INFO - Epoch(train) [3][2900/4238] lr: 1.9781e-04 eta: 1 day, 7:55:20 time: 0.9842 data_time: 0.0173 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4292 loss: 2.4292 2022/09/23 01:21:28 - mmengine - INFO - Epoch(train) [3][3000/4238] lr: 1.9781e-04 eta: 1 day, 7:53:34 time: 0.9818 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1105 loss: 2.1105 2022/09/23 01:23:07 - mmengine - INFO - Epoch(train) [3][3100/4238] lr: 1.9781e-04 eta: 1 day, 7:51:46 time: 0.9817 data_time: 0.0162 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1424 loss: 2.1424 2022/09/23 01:24:45 - mmengine - INFO - Epoch(train) [3][3200/4238] lr: 1.9781e-04 eta: 1 day, 7:50:01 time: 0.9918 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2797 loss: 2.2797 2022/09/23 01:26:24 - mmengine - INFO - Epoch(train) [3][3300/4238] lr: 1.9781e-04 eta: 1 day, 7:48:20 time: 0.9987 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3121 loss: 2.3121 2022/09/23 01:28:04 - mmengine - INFO - Epoch(train) [3][3400/4238] lr: 1.9781e-04 eta: 1 day, 7:46:39 time: 0.9965 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2761 loss: 2.2761 2022/09/23 01:29:43 - mmengine - INFO - Epoch(train) [3][3500/4238] lr: 1.9781e-04 eta: 1 day, 7:44:57 time: 0.9947 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1506 loss: 2.1506 2022/09/23 01:30:06 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 01:31:21 - mmengine - INFO - Epoch(train) [3][3600/4238] lr: 1.9781e-04 eta: 1 day, 7:43:12 time: 0.9785 data_time: 0.0159 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1541 loss: 2.1541 2022/09/23 01:33:00 - mmengine - INFO - Epoch(train) [3][3700/4238] lr: 1.9781e-04 eta: 1 day, 7:41:25 time: 0.9828 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9809 loss: 1.9809 2022/09/23 01:34:39 - mmengine - INFO - Epoch(train) [3][3800/4238] lr: 1.9781e-04 eta: 1 day, 7:39:43 time: 0.9902 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5824 loss: 2.5824 2022/09/23 01:36:17 - mmengine - INFO - Epoch(train) [3][3900/4238] lr: 1.9781e-04 eta: 1 day, 7:38:00 time: 0.9810 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4266 loss: 2.4266 2022/09/23 01:37:56 - mmengine - INFO - Epoch(train) [3][4000/4238] lr: 1.9781e-04 eta: 1 day, 7:36:16 time: 0.9812 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4391 loss: 2.4391 2022/09/23 01:39:35 - mmengine - INFO - Epoch(train) [3][4100/4238] lr: 1.9781e-04 eta: 1 day, 7:34:36 time: 0.9934 data_time: 0.0174 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5727 loss: 2.5727 2022/09/23 01:41:15 - mmengine - INFO - Epoch(train) [3][4200/4238] lr: 1.9781e-04 eta: 1 day, 7:33:03 time: 0.9976 data_time: 0.0166 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1994 loss: 2.1994 2022/09/23 01:41:53 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 01:41:53 - mmengine - INFO - Epoch(train) [3][4238/4238] lr: 1.9781e-04 eta: 1 day, 7:32:45 time: 0.9688 data_time: 0.0176 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4205 loss: 2.4205 2022/09/23 01:41:53 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/09/23 01:43:19 - mmengine - INFO - Epoch(val) [3][100/273] eta: 0:01:09 time: 0.4004 data_time: 0.0092 memory: 14236 2022/09/23 01:43:59 - mmengine - INFO - Epoch(val) [3][200/273] eta: 0:00:29 time: 0.3980 data_time: 0.0088 memory: 14236 2022/09/23 01:45:04 - mmengine - INFO - Epoch(val) [3][273/273] acc/top1: 0.5564 acc/top5: 0.7878 acc/mean1: 0.5562 2022/09/23 01:45:07 - mmengine - INFO - The best checkpoint with 0.5564 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/09/23 01:46:47 - mmengine - INFO - Epoch(train) [4][100/4238] lr: 1.9511e-04 eta: 1 day, 7:28:14 time: 0.9786 data_time: 0.0160 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2860 loss: 2.2860 2022/09/23 01:48:26 - mmengine - INFO - Epoch(train) [4][200/4238] lr: 1.9511e-04 eta: 1 day, 7:26:31 time: 0.9832 data_time: 0.0161 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1588 loss: 2.1588 2022/09/23 01:49:50 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 01:50:04 - mmengine - INFO - Epoch(train) [4][300/4238] lr: 1.9511e-04 eta: 1 day, 7:24:45 time: 0.9857 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1375 loss: 2.1375 2022/09/23 01:51:43 - mmengine - INFO - Epoch(train) [4][400/4238] lr: 1.9511e-04 eta: 1 day, 7:23:05 time: 0.9941 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1578 loss: 2.1578 2022/09/23 01:53:21 - mmengine - INFO - Epoch(train) [4][500/4238] lr: 1.9511e-04 eta: 1 day, 7:21:20 time: 0.9782 data_time: 0.0162 memory: 68898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1239 loss: 2.1239 2022/09/23 01:55:00 - mmengine - INFO - Epoch(train) [4][600/4238] lr: 1.9511e-04 eta: 1 day, 7:19:38 time: 0.9875 data_time: 0.0163 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2516 loss: 2.2516 2022/09/23 01:56:40 - mmengine - INFO - Epoch(train) [4][700/4238] lr: 1.9511e-04 eta: 1 day, 7:18:03 time: 0.9800 data_time: 0.0171 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2614 loss: 2.2614 2022/09/23 01:58:19 - mmengine - INFO - Epoch(train) [4][800/4238] lr: 1.9511e-04 eta: 1 day, 7:16:25 time: 1.0013 data_time: 0.0162 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2022 loss: 2.2022 2022/09/23 01:59:57 - mmengine - INFO - Epoch(train) [4][900/4238] lr: 1.9511e-04 eta: 1 day, 7:14:42 time: 0.9847 data_time: 0.0163 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0926 loss: 2.0926 2022/09/23 02:01:39 - mmengine - INFO - Epoch(train) [4][1000/4238] lr: 1.9511e-04 eta: 1 day, 7:13:24 time: 0.9895 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4629 loss: 2.4629 2022/09/23 02:03:18 - mmengine - INFO - Epoch(train) [4][1100/4238] lr: 1.9511e-04 eta: 1 day, 7:11:46 time: 0.9840 data_time: 0.0159 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2932 loss: 2.2932 2022/09/23 02:04:57 - mmengine - INFO - Epoch(train) [4][1200/4238] lr: 1.9511e-04 eta: 1 day, 7:10:05 time: 0.9965 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3075 loss: 2.3075 2022/09/23 02:06:23 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 02:06:37 - mmengine - INFO - Epoch(train) [4][1300/4238] lr: 1.9511e-04 eta: 1 day, 7:08:28 time: 0.9848 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3290 loss: 2.3290 2022/09/23 02:08:15 - mmengine - INFO - Epoch(train) [4][1400/4238] lr: 1.9511e-04 eta: 1 day, 7:06:46 time: 0.9890 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0141 loss: 2.0141 2022/09/23 02:09:54 - mmengine - INFO - Epoch(train) [4][1500/4238] lr: 1.9511e-04 eta: 1 day, 7:05:04 time: 0.9816 data_time: 0.0163 memory: 68898 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2944 loss: 2.2944 2022/09/23 02:11:34 - mmengine - INFO - Epoch(train) [4][1600/4238] lr: 1.9511e-04 eta: 1 day, 7:03:29 time: 1.0017 data_time: 0.0165 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5736 loss: 2.5736 2022/09/23 02:13:13 - mmengine - INFO - Epoch(train) [4][1700/4238] lr: 1.9511e-04 eta: 1 day, 7:01:51 time: 0.9838 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1732 loss: 2.1732 2022/09/23 02:14:52 - mmengine - INFO - Epoch(train) [4][1800/4238] lr: 1.9511e-04 eta: 1 day, 7:00:09 time: 0.9852 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8689 loss: 1.8689 2022/09/23 02:16:31 - mmengine - INFO - Epoch(train) [4][1900/4238] lr: 1.9511e-04 eta: 1 day, 6:58:28 time: 0.9862 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1884 loss: 2.1884 2022/09/23 02:18:10 - mmengine - INFO - Epoch(train) [4][2000/4238] lr: 1.9511e-04 eta: 1 day, 6:56:48 time: 0.9874 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3790 loss: 2.3790 2022/09/23 02:19:49 - mmengine - INFO - Epoch(train) [4][2100/4238] lr: 1.9511e-04 eta: 1 day, 6:55:09 time: 0.9864 data_time: 0.0162 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9266 loss: 1.9266 2022/09/23 02:21:28 - mmengine - INFO - Epoch(train) [4][2200/4238] lr: 1.9511e-04 eta: 1 day, 6:53:33 time: 0.9852 data_time: 0.0164 memory: 68898 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0975 loss: 2.0975 2022/09/23 02:22:53 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 02:23:07 - mmengine - INFO - Epoch(train) [4][2300/4238] lr: 1.9511e-04 eta: 1 day, 6:51:52 time: 0.9874 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2458 loss: 2.2458 2022/09/23 02:24:46 - mmengine - INFO - Epoch(train) [4][2400/4238] lr: 1.9511e-04 eta: 1 day, 6:50:11 time: 0.9875 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5149 loss: 2.5149 2022/09/23 02:26:24 - mmengine - INFO - Epoch(train) [4][2500/4238] lr: 1.9511e-04 eta: 1 day, 6:48:27 time: 0.9843 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4267 loss: 2.4267 2022/09/23 02:28:03 - mmengine - INFO - Epoch(train) [4][2600/4238] lr: 1.9511e-04 eta: 1 day, 6:46:43 time: 0.9794 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4223 loss: 2.4223 2022/09/23 02:29:43 - mmengine - INFO - Epoch(train) [4][2700/4238] lr: 1.9511e-04 eta: 1 day, 6:45:11 time: 1.0106 data_time: 0.0168 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1782 loss: 2.1782 2022/09/23 02:31:22 - mmengine - INFO - Epoch(train) [4][2800/4238] lr: 1.9511e-04 eta: 1 day, 6:43:30 time: 0.9872 data_time: 0.0171 memory: 68898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3733 loss: 2.3733 2022/09/23 02:33:01 - mmengine - INFO - Epoch(train) [4][2900/4238] lr: 1.9511e-04 eta: 1 day, 6:41:51 time: 0.9971 data_time: 0.0162 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3656 loss: 2.3656 2022/09/23 02:34:39 - mmengine - INFO - Epoch(train) [4][3000/4238] lr: 1.9511e-04 eta: 1 day, 6:40:09 time: 0.9783 data_time: 0.0162 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2132 loss: 2.2132 2022/09/23 02:36:18 - mmengine - INFO - Epoch(train) [4][3100/4238] lr: 1.9511e-04 eta: 1 day, 6:38:27 time: 0.9854 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4560 loss: 2.4560 2022/09/23 02:38:00 - mmengine - INFO - Epoch(train) [4][3200/4238] lr: 1.9511e-04 eta: 1 day, 6:37:05 time: 0.9954 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1093 loss: 2.1093 2022/09/23 02:39:25 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 02:39:38 - mmengine - INFO - Epoch(train) [4][3300/4238] lr: 1.9511e-04 eta: 1 day, 6:35:24 time: 0.9896 data_time: 0.0164 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3689 loss: 2.3689 2022/09/23 02:41:17 - mmengine - INFO - Epoch(train) [4][3400/4238] lr: 1.9511e-04 eta: 1 day, 6:33:43 time: 0.9847 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9785 loss: 1.9785 2022/09/23 02:42:56 - mmengine - INFO - Epoch(train) [4][3500/4238] lr: 1.9511e-04 eta: 1 day, 6:31:59 time: 0.9828 data_time: 0.0178 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2073 loss: 2.2073 2022/09/23 02:44:34 - mmengine - INFO - Epoch(train) [4][3600/4238] lr: 1.9511e-04 eta: 1 day, 6:30:17 time: 0.9881 data_time: 0.0163 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3576 loss: 2.3576 2022/09/23 02:46:13 - mmengine - INFO - Epoch(train) [4][3700/4238] lr: 1.9511e-04 eta: 1 day, 6:28:36 time: 0.9860 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0179 loss: 2.0179 2022/09/23 02:47:52 - mmengine - INFO - Epoch(train) [4][3800/4238] lr: 1.9511e-04 eta: 1 day, 6:26:55 time: 0.9808 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1772 loss: 2.1772 2022/09/23 02:49:32 - mmengine - INFO - Epoch(train) [4][3900/4238] lr: 1.9511e-04 eta: 1 day, 6:25:25 time: 0.9982 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1768 loss: 2.1768 2022/09/23 02:51:11 - mmengine - INFO - Epoch(train) [4][4000/4238] lr: 1.9511e-04 eta: 1 day, 6:23:45 time: 0.9838 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3508 loss: 2.3508 2022/09/23 02:52:50 - mmengine - INFO - Epoch(train) [4][4100/4238] lr: 1.9511e-04 eta: 1 day, 6:22:02 time: 0.9838 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3083 loss: 2.3083 2022/09/23 02:54:28 - mmengine - INFO - Epoch(train) [4][4200/4238] lr: 1.9511e-04 eta: 1 day, 6:20:19 time: 0.9818 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0915 loss: 2.0915 2022/09/23 02:55:05 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 02:55:05 - mmengine - INFO - Epoch(train) [4][4238/4238] lr: 1.9511e-04 eta: 1 day, 6:19:59 time: 0.9555 data_time: 0.0179 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2214 loss: 2.2214 2022/09/23 02:55:55 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 02:56:46 - mmengine - INFO - Epoch(train) [5][100/4238] lr: 1.9135e-04 eta: 1 day, 6:16:16 time: 0.9866 data_time: 0.0162 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2937 loss: 2.2937 2022/09/23 02:58:24 - mmengine - INFO - Epoch(train) [5][200/4238] lr: 1.9135e-04 eta: 1 day, 6:14:33 time: 0.9906 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1012 loss: 2.1012 2022/09/23 03:00:03 - mmengine - INFO - Epoch(train) [5][300/4238] lr: 1.9135e-04 eta: 1 day, 6:12:51 time: 0.9883 data_time: 0.0180 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3217 loss: 2.3217 2022/09/23 03:01:42 - mmengine - INFO - Epoch(train) [5][400/4238] lr: 1.9135e-04 eta: 1 day, 6:11:10 time: 0.9880 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0643 loss: 2.0643 2022/09/23 03:03:20 - mmengine - INFO - Epoch(train) [5][500/4238] lr: 1.9135e-04 eta: 1 day, 6:09:27 time: 0.9821 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0037 loss: 2.0037 2022/09/23 03:04:59 - mmengine - INFO - Epoch(train) [5][600/4238] lr: 1.9135e-04 eta: 1 day, 6:07:48 time: 0.9889 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2559 loss: 2.2559 2022/09/23 03:06:38 - mmengine - INFO - Epoch(train) [5][700/4238] lr: 1.9135e-04 eta: 1 day, 6:06:10 time: 0.9970 data_time: 0.0176 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1642 loss: 2.1642 2022/09/23 03:08:17 - mmengine - INFO - Epoch(train) [5][800/4238] lr: 1.9135e-04 eta: 1 day, 6:04:29 time: 0.9802 data_time: 0.0165 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1527 loss: 2.1527 2022/09/23 03:09:55 - mmengine - INFO - Epoch(train) [5][900/4238] lr: 1.9135e-04 eta: 1 day, 6:02:48 time: 0.9924 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2810 loss: 2.2810 2022/09/23 03:11:34 - mmengine - INFO - Epoch(train) [5][1000/4238] lr: 1.9135e-04 eta: 1 day, 6:01:08 time: 0.9825 data_time: 0.0164 memory: 68898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5550 loss: 2.5550 2022/09/23 03:12:22 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 03:13:13 - mmengine - INFO - Epoch(train) [5][1100/4238] lr: 1.9135e-04 eta: 1 day, 5:59:27 time: 0.9886 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2601 loss: 2.2601 2022/09/23 03:14:54 - mmengine - INFO - Epoch(train) [5][1200/4238] lr: 1.9135e-04 eta: 1 day, 5:58:03 time: 0.9826 data_time: 0.0169 memory: 68898 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1587 loss: 2.1587 2022/09/23 03:16:33 - mmengine - INFO - Epoch(train) [5][1300/4238] lr: 1.9135e-04 eta: 1 day, 5:56:22 time: 0.9852 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0051 loss: 2.0051 2022/09/23 03:18:12 - mmengine - INFO - Epoch(train) [5][1400/4238] lr: 1.9135e-04 eta: 1 day, 5:54:44 time: 1.0011 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9766 loss: 1.9766 2022/09/23 03:19:51 - mmengine - INFO - Epoch(train) [5][1500/4238] lr: 1.9135e-04 eta: 1 day, 5:53:03 time: 0.9796 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3504 loss: 2.3504 2022/09/23 03:21:29 - mmengine - INFO - Epoch(train) [5][1600/4238] lr: 1.9135e-04 eta: 1 day, 5:51:23 time: 0.9820 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2841 loss: 2.2841 2022/09/23 03:23:09 - mmengine - INFO - Epoch(train) [5][1700/4238] lr: 1.9135e-04 eta: 1 day, 5:49:45 time: 0.9933 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0538 loss: 2.0538 2022/09/23 03:24:48 - mmengine - INFO - Epoch(train) [5][1800/4238] lr: 1.9135e-04 eta: 1 day, 5:48:08 time: 0.9962 data_time: 0.0180 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3743 loss: 2.3743 2022/09/23 03:26:27 - mmengine - INFO - Epoch(train) [5][1900/4238] lr: 1.9135e-04 eta: 1 day, 5:46:29 time: 0.9899 data_time: 0.0161 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9328 loss: 1.9328 2022/09/23 03:28:06 - mmengine - INFO - Epoch(train) [5][2000/4238] lr: 1.9135e-04 eta: 1 day, 5:44:52 time: 0.9941 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1942 loss: 2.1942 2022/09/23 03:28:55 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 03:29:47 - mmengine - INFO - Epoch(train) [5][2100/4238] lr: 1.9135e-04 eta: 1 day, 5:43:20 time: 0.9936 data_time: 0.0174 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1740 loss: 2.1740 2022/09/23 03:31:26 - mmengine - INFO - Epoch(train) [5][2200/4238] lr: 1.9135e-04 eta: 1 day, 5:41:43 time: 0.9972 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4954 loss: 2.4954 2022/09/23 03:33:05 - mmengine - INFO - Epoch(train) [5][2300/4238] lr: 1.9135e-04 eta: 1 day, 5:40:05 time: 0.9897 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0827 loss: 2.0827 2022/09/23 03:34:44 - mmengine - INFO - Epoch(train) [5][2400/4238] lr: 1.9135e-04 eta: 1 day, 5:38:26 time: 0.9916 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2347 loss: 2.2347 2022/09/23 03:36:23 - mmengine - INFO - Epoch(train) [5][2500/4238] lr: 1.9135e-04 eta: 1 day, 5:36:47 time: 0.9973 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0338 loss: 2.0338 2022/09/23 03:38:02 - mmengine - INFO - Epoch(train) [5][2600/4238] lr: 1.9135e-04 eta: 1 day, 5:35:09 time: 0.9913 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0912 loss: 2.0912 2022/09/23 03:39:41 - mmengine - INFO - Epoch(train) [5][2700/4238] lr: 1.9135e-04 eta: 1 day, 5:33:29 time: 1.0016 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3913 loss: 2.3913 2022/09/23 03:41:20 - mmengine - INFO - Epoch(train) [5][2800/4238] lr: 1.9135e-04 eta: 1 day, 5:31:51 time: 0.9864 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1002 loss: 2.1002 2022/09/23 03:42:59 - mmengine - INFO - Epoch(train) [5][2900/4238] lr: 1.9135e-04 eta: 1 day, 5:30:11 time: 0.9875 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0278 loss: 2.0278 2022/09/23 03:44:38 - mmengine - INFO - Epoch(train) [5][3000/4238] lr: 1.9135e-04 eta: 1 day, 5:28:31 time: 0.9920 data_time: 0.0163 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1244 loss: 2.1244 2022/09/23 03:45:26 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 03:46:17 - mmengine - INFO - Epoch(train) [5][3100/4238] lr: 1.9135e-04 eta: 1 day, 5:26:55 time: 0.9851 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5112 loss: 2.5112 2022/09/23 03:47:59 - mmengine - INFO - Epoch(train) [5][3200/4238] lr: 1.9135e-04 eta: 1 day, 5:25:29 time: 0.9970 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4208 loss: 2.4208 2022/09/23 03:49:38 - mmengine - INFO - Epoch(train) [5][3300/4238] lr: 1.9135e-04 eta: 1 day, 5:23:51 time: 0.9981 data_time: 0.0163 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0479 loss: 2.0479 2022/09/23 03:51:18 - mmengine - INFO - Epoch(train) [5][3400/4238] lr: 1.9135e-04 eta: 1 day, 5:22:14 time: 0.9978 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2951 loss: 2.2951 2022/09/23 03:52:56 - mmengine - INFO - Epoch(train) [5][3500/4238] lr: 1.9135e-04 eta: 1 day, 5:20:34 time: 0.9961 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2804 loss: 2.2804 2022/09/23 03:54:35 - mmengine - INFO - Epoch(train) [5][3600/4238] lr: 1.9135e-04 eta: 1 day, 5:18:55 time: 0.9885 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8946 loss: 1.8946 2022/09/23 03:56:14 - mmengine - INFO - Epoch(train) [5][3700/4238] lr: 1.9135e-04 eta: 1 day, 5:17:15 time: 0.9841 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2162 loss: 2.2162 2022/09/23 03:57:54 - mmengine - INFO - Epoch(train) [5][3800/4238] lr: 1.9135e-04 eta: 1 day, 5:15:39 time: 1.0032 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8605 loss: 1.8605 2022/09/23 03:59:33 - mmengine - INFO - Epoch(train) [5][3900/4238] lr: 1.9135e-04 eta: 1 day, 5:14:00 time: 0.9841 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9022 loss: 1.9022 2022/09/23 04:01:12 - mmengine - INFO - Epoch(train) [5][4000/4238] lr: 1.9135e-04 eta: 1 day, 5:12:22 time: 0.9999 data_time: 0.0169 memory: 68898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1764 loss: 2.1764 2022/09/23 04:02:00 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 04:02:52 - mmengine - INFO - Epoch(train) [5][4100/4238] lr: 1.9135e-04 eta: 1 day, 5:10:49 time: 0.9982 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0343 loss: 2.0343 2022/09/23 04:04:31 - mmengine - INFO - Epoch(train) [5][4200/4238] lr: 1.9135e-04 eta: 1 day, 5:09:08 time: 0.9812 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0863 loss: 2.0863 2022/09/23 04:05:09 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 04:05:09 - mmengine - INFO - Epoch(train) [5][4238/4238] lr: 1.9135e-04 eta: 1 day, 5:08:48 time: 0.9861 data_time: 0.0183 memory: 68898 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.6188 loss: 2.6188 2022/09/23 04:06:50 - mmengine - INFO - Epoch(train) [6][100/4238] lr: 1.8660e-04 eta: 1 day, 5:05:36 time: 0.9965 data_time: 0.0170 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2029 loss: 2.2029 2022/09/23 04:08:30 - mmengine - INFO - Epoch(train) [6][200/4238] lr: 1.8660e-04 eta: 1 day, 5:04:01 time: 0.9926 data_time: 0.0162 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2021 loss: 2.2021 2022/09/23 04:10:09 - mmengine - INFO - Epoch(train) [6][300/4238] lr: 1.8660e-04 eta: 1 day, 5:02:24 time: 0.9847 data_time: 0.0157 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8566 loss: 1.8566 2022/09/23 04:11:49 - mmengine - INFO - Epoch(train) [6][400/4238] lr: 1.8660e-04 eta: 1 day, 5:00:47 time: 0.9868 data_time: 0.0162 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4667 loss: 2.4667 2022/09/23 04:13:28 - mmengine - INFO - Epoch(train) [6][500/4238] lr: 1.8660e-04 eta: 1 day, 4:59:08 time: 1.0022 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1627 loss: 2.1627 2022/09/23 04:15:07 - mmengine - INFO - Epoch(train) [6][600/4238] lr: 1.8660e-04 eta: 1 day, 4:57:32 time: 0.9988 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3500 loss: 2.3500 2022/09/23 04:16:47 - mmengine - INFO - Epoch(train) [6][700/4238] lr: 1.8660e-04 eta: 1 day, 4:55:54 time: 0.9829 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3300 loss: 2.3300 2022/09/23 04:18:25 - mmengine - INFO - Epoch(train) [6][800/4238] lr: 1.8660e-04 eta: 1 day, 4:54:14 time: 0.9787 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9620 loss: 1.9620 2022/09/23 04:18:35 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 04:20:04 - mmengine - INFO - Epoch(train) [6][900/4238] lr: 1.8660e-04 eta: 1 day, 4:52:34 time: 0.9867 data_time: 0.0164 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9898 loss: 1.9898 2022/09/23 04:21:43 - mmengine - INFO - Epoch(train) [6][1000/4238] lr: 1.8660e-04 eta: 1 day, 4:50:56 time: 0.9974 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8877 loss: 1.8877 2022/09/23 04:23:22 - mmengine - INFO - Epoch(train) [6][1100/4238] lr: 1.8660e-04 eta: 1 day, 4:49:16 time: 0.9786 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1415 loss: 2.1415 2022/09/23 04:25:01 - mmengine - INFO - Epoch(train) [6][1200/4238] lr: 1.8660e-04 eta: 1 day, 4:47:36 time: 0.9853 data_time: 0.0162 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1716 loss: 2.1716 2022/09/23 04:26:39 - mmengine - INFO - Epoch(train) [6][1300/4238] lr: 1.8660e-04 eta: 1 day, 4:45:55 time: 0.9799 data_time: 0.0163 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1861 loss: 2.1861 2022/09/23 04:28:18 - mmengine - INFO - Epoch(train) [6][1400/4238] lr: 1.8660e-04 eta: 1 day, 4:44:15 time: 0.9828 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0449 loss: 2.0449 2022/09/23 04:29:57 - mmengine - INFO - Epoch(train) [6][1500/4238] lr: 1.8660e-04 eta: 1 day, 4:42:36 time: 1.0014 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9043 loss: 1.9043 2022/09/23 04:31:36 - mmengine - INFO - Epoch(train) [6][1600/4238] lr: 1.8660e-04 eta: 1 day, 4:40:57 time: 0.9842 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0494 loss: 2.0494 2022/09/23 04:33:14 - mmengine - INFO - Epoch(train) [6][1700/4238] lr: 1.8660e-04 eta: 1 day, 4:39:16 time: 0.9874 data_time: 0.0168 memory: 68898 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5616 loss: 2.5616 2022/09/23 04:34:53 - mmengine - INFO - Epoch(train) [6][1800/4238] lr: 1.8660e-04 eta: 1 day, 4:37:37 time: 0.9851 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1539 loss: 2.1539 2022/09/23 04:35:03 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 04:36:32 - mmengine - INFO - Epoch(train) [6][1900/4238] lr: 1.8660e-04 eta: 1 day, 4:35:58 time: 0.9821 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1781 loss: 2.1781 2022/09/23 04:38:11 - mmengine - INFO - Epoch(train) [6][2000/4238] lr: 1.8660e-04 eta: 1 day, 4:34:20 time: 0.9789 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9585 loss: 1.9585 2022/09/23 04:39:50 - mmengine - INFO - Epoch(train) [6][2100/4238] lr: 1.8660e-04 eta: 1 day, 4:32:40 time: 0.9850 data_time: 0.0170 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2333 loss: 2.2333 2022/09/23 04:41:29 - mmengine - INFO - Epoch(train) [6][2200/4238] lr: 1.8660e-04 eta: 1 day, 4:30:59 time: 0.9805 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8821 loss: 1.8821 2022/09/23 04:43:08 - mmengine - INFO - Epoch(train) [6][2300/4238] lr: 1.8660e-04 eta: 1 day, 4:29:20 time: 0.9858 data_time: 0.0181 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0140 loss: 2.0140 2022/09/23 04:44:46 - mmengine - INFO - Epoch(train) [6][2400/4238] lr: 1.8660e-04 eta: 1 day, 4:27:39 time: 0.9851 data_time: 0.0175 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3165 loss: 2.3165 2022/09/23 04:46:25 - mmengine - INFO - Epoch(train) [6][2500/4238] lr: 1.8660e-04 eta: 1 day, 4:25:59 time: 0.9815 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0811 loss: 2.0811 2022/09/23 04:48:04 - mmengine - INFO - Epoch(train) [6][2600/4238] lr: 1.8660e-04 eta: 1 day, 4:24:19 time: 0.9869 data_time: 0.0164 memory: 68898 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0196 loss: 2.0196 2022/09/23 04:49:42 - mmengine - INFO - Epoch(train) [6][2700/4238] lr: 1.8660e-04 eta: 1 day, 4:22:40 time: 0.9803 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0219 loss: 2.0219 2022/09/23 04:51:22 - mmengine - INFO - Epoch(train) [6][2800/4238] lr: 1.8660e-04 eta: 1 day, 4:21:04 time: 1.0011 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8286 loss: 1.8286 2022/09/23 04:51:32 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 04:53:01 - mmengine - INFO - Epoch(train) [6][2900/4238] lr: 1.8660e-04 eta: 1 day, 4:19:27 time: 0.9841 data_time: 0.0160 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8095 loss: 1.8095 2022/09/23 04:54:41 - mmengine - INFO - Epoch(train) [6][3000/4238] lr: 1.8660e-04 eta: 1 day, 4:17:51 time: 0.9861 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0240 loss: 2.0240 2022/09/23 04:56:21 - mmengine - INFO - Epoch(train) [6][3100/4238] lr: 1.8660e-04 eta: 1 day, 4:16:14 time: 0.9974 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2704 loss: 2.2704 2022/09/23 04:57:59 - mmengine - INFO - Epoch(train) [6][3200/4238] lr: 1.8660e-04 eta: 1 day, 4:14:34 time: 0.9844 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7620 loss: 1.7620 2022/09/23 04:59:39 - mmengine - INFO - Epoch(train) [6][3300/4238] lr: 1.8660e-04 eta: 1 day, 4:12:57 time: 0.9992 data_time: 0.0161 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9207 loss: 1.9207 2022/09/23 05:01:18 - mmengine - INFO - Epoch(train) [6][3400/4238] lr: 1.8660e-04 eta: 1 day, 4:11:19 time: 0.9988 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1802 loss: 2.1802 2022/09/23 05:02:57 - mmengine - INFO - Epoch(train) [6][3500/4238] lr: 1.8660e-04 eta: 1 day, 4:09:40 time: 0.9791 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3032 loss: 2.3032 2022/09/23 05:04:35 - mmengine - INFO - Epoch(train) [6][3600/4238] lr: 1.8660e-04 eta: 1 day, 4:08:00 time: 0.9867 data_time: 0.0173 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3974 loss: 2.3974 2022/09/23 05:06:15 - mmengine - INFO - Epoch(train) [6][3700/4238] lr: 1.8660e-04 eta: 1 day, 4:06:21 time: 0.9874 data_time: 0.0159 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2278 loss: 2.2278 2022/09/23 05:07:54 - mmengine - INFO - Epoch(train) [6][3800/4238] lr: 1.8660e-04 eta: 1 day, 4:04:43 time: 0.9848 data_time: 0.0164 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2952 loss: 2.2952 2022/09/23 05:08:04 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 05:09:32 - mmengine - INFO - Epoch(train) [6][3900/4238] lr: 1.8660e-04 eta: 1 day, 4:03:02 time: 0.9805 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2491 loss: 2.2491 2022/09/23 05:11:11 - mmengine - INFO - Epoch(train) [6][4000/4238] lr: 1.8660e-04 eta: 1 day, 4:01:23 time: 0.9905 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3099 loss: 2.3099 2022/09/23 05:12:50 - mmengine - INFO - Epoch(train) [6][4100/4238] lr: 1.8660e-04 eta: 1 day, 3:59:42 time: 0.9808 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2109 loss: 2.2109 2022/09/23 05:14:29 - mmengine - INFO - Epoch(train) [6][4200/4238] lr: 1.8660e-04 eta: 1 day, 3:58:06 time: 0.9944 data_time: 0.0163 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9441 loss: 1.9441 2022/09/23 05:15:07 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 05:15:07 - mmengine - INFO - Epoch(train) [6][4238/4238] lr: 1.8660e-04 eta: 1 day, 3:57:47 time: 0.9999 data_time: 0.0191 memory: 68898 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 2.2776 loss: 2.2776 2022/09/23 05:15:07 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/09/23 05:15:59 - mmengine - INFO - Epoch(val) [6][100/273] eta: 0:01:08 time: 0.3979 data_time: 0.0090 memory: 14236 2022/09/23 05:16:39 - mmengine - INFO - Epoch(val) [6][200/273] eta: 0:00:29 time: 0.3980 data_time: 0.0090 memory: 14236 2022/09/23 05:17:12 - mmengine - INFO - Epoch(val) [6][273/273] acc/top1: 0.5796 acc/top5: 0.8065 acc/mean1: 0.5795 2022/09/23 05:17:12 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/mmaction2/work_dirs/swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb/best_acc/top1_epoch_3.pth is removed 2022/09/23 05:17:15 - mmengine - INFO - The best checkpoint with 0.5796 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/09/23 05:18:55 - mmengine - INFO - Epoch(train) [7][100/4238] lr: 1.8090e-04 eta: 1 day, 3:54:45 time: 0.9867 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2878 loss: 2.2878 2022/09/23 05:20:34 - mmengine - INFO - Epoch(train) [7][200/4238] lr: 1.8090e-04 eta: 1 day, 3:53:06 time: 0.9979 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7880 loss: 1.7880 2022/09/23 05:22:14 - mmengine - INFO - Epoch(train) [7][300/4238] lr: 1.8090e-04 eta: 1 day, 3:51:32 time: 1.0019 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0032 loss: 2.0032 2022/09/23 05:23:53 - mmengine - INFO - Epoch(train) [7][400/4238] lr: 1.8090e-04 eta: 1 day, 3:49:52 time: 0.9790 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1191 loss: 2.1191 2022/09/23 05:25:31 - mmengine - INFO - Epoch(train) [7][500/4238] lr: 1.8090e-04 eta: 1 day, 3:48:12 time: 0.9883 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1028 loss: 2.1028 2022/09/23 05:26:43 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 05:27:11 - mmengine - INFO - Epoch(train) [7][600/4238] lr: 1.8090e-04 eta: 1 day, 3:46:34 time: 0.9911 data_time: 0.0164 memory: 68898 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2447 loss: 2.2447 2022/09/23 05:28:50 - mmengine - INFO - Epoch(train) [7][700/4238] lr: 1.8090e-04 eta: 1 day, 3:44:56 time: 0.9908 data_time: 0.0163 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0431 loss: 2.0431 2022/09/23 05:30:29 - mmengine - INFO - Epoch(train) [7][800/4238] lr: 1.8090e-04 eta: 1 day, 3:43:18 time: 0.9850 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0008 loss: 2.0008 2022/09/23 05:32:07 - mmengine - INFO - Epoch(train) [7][900/4238] lr: 1.8090e-04 eta: 1 day, 3:41:38 time: 0.9810 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1881 loss: 2.1881 2022/09/23 05:33:46 - mmengine - INFO - Epoch(train) [7][1000/4238] lr: 1.8090e-04 eta: 1 day, 3:39:58 time: 0.9809 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7026 loss: 1.7026 2022/09/23 05:35:25 - mmengine - INFO - Epoch(train) [7][1100/4238] lr: 1.8090e-04 eta: 1 day, 3:38:20 time: 1.0000 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3077 loss: 2.3077 2022/09/23 05:37:04 - mmengine - INFO - Epoch(train) [7][1200/4238] lr: 1.8090e-04 eta: 1 day, 3:36:42 time: 0.9849 data_time: 0.0168 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8931 loss: 1.8931 2022/09/23 05:38:43 - mmengine - INFO - Epoch(train) [7][1300/4238] lr: 1.8090e-04 eta: 1 day, 3:35:02 time: 0.9917 data_time: 0.0178 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1326 loss: 2.1326 2022/09/23 05:40:21 - mmengine - INFO - Epoch(train) [7][1400/4238] lr: 1.8090e-04 eta: 1 day, 3:33:21 time: 0.9820 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3120 loss: 2.3120 2022/09/23 05:42:00 - mmengine - INFO - Epoch(train) [7][1500/4238] lr: 1.8090e-04 eta: 1 day, 3:31:41 time: 0.9902 data_time: 0.0163 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9813 loss: 1.9813 2022/09/23 05:43:11 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 05:43:38 - mmengine - INFO - Epoch(train) [7][1600/4238] lr: 1.8090e-04 eta: 1 day, 3:30:01 time: 0.9899 data_time: 0.0171 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1700 loss: 2.1700 2022/09/23 05:45:17 - mmengine - INFO - Epoch(train) [7][1700/4238] lr: 1.8090e-04 eta: 1 day, 3:28:21 time: 0.9882 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9170 loss: 1.9170 2022/09/23 05:46:56 - mmengine - INFO - Epoch(train) [7][1800/4238] lr: 1.8090e-04 eta: 1 day, 3:26:41 time: 0.9867 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3100 loss: 2.3100 2022/09/23 05:48:34 - mmengine - INFO - Epoch(train) [7][1900/4238] lr: 1.8090e-04 eta: 1 day, 3:25:01 time: 0.9780 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9953 loss: 1.9953 2022/09/23 05:50:13 - mmengine - INFO - Epoch(train) [7][2000/4238] lr: 1.8090e-04 eta: 1 day, 3:23:20 time: 0.9831 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9959 loss: 1.9959 2022/09/23 05:51:51 - mmengine - INFO - Epoch(train) [7][2100/4238] lr: 1.8090e-04 eta: 1 day, 3:21:40 time: 0.9784 data_time: 0.0176 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0710 loss: 2.0710 2022/09/23 05:53:30 - mmengine - INFO - Epoch(train) [7][2200/4238] lr: 1.8090e-04 eta: 1 day, 3:19:59 time: 0.9802 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9002 loss: 1.9002 2022/09/23 05:55:08 - mmengine - INFO - Epoch(train) [7][2300/4238] lr: 1.8090e-04 eta: 1 day, 3:18:19 time: 0.9922 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0539 loss: 2.0539 2022/09/23 05:56:47 - mmengine - INFO - Epoch(train) [7][2400/4238] lr: 1.8090e-04 eta: 1 day, 3:16:40 time: 0.9808 data_time: 0.0164 memory: 68898 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3240 loss: 2.3240 2022/09/23 05:58:25 - mmengine - INFO - Epoch(train) [7][2500/4238] lr: 1.8090e-04 eta: 1 day, 3:15:00 time: 0.9860 data_time: 0.0174 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0922 loss: 2.0922 2022/09/23 05:59:37 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 06:00:07 - mmengine - INFO - Epoch(train) [7][2600/4238] lr: 1.8090e-04 eta: 1 day, 3:13:29 time: 1.1065 data_time: 0.0196 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0635 loss: 2.0635 2022/09/23 06:01:45 - mmengine - INFO - Epoch(train) [7][2700/4238] lr: 1.8090e-04 eta: 1 day, 3:11:50 time: 0.9785 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6741 loss: 1.6741 2022/09/23 06:03:24 - mmengine - INFO - Epoch(train) [7][2800/4238] lr: 1.8090e-04 eta: 1 day, 3:10:11 time: 0.9862 data_time: 0.0166 memory: 68898 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 1.8241 loss: 1.8241 2022/09/23 06:05:03 - mmengine - INFO - Epoch(train) [7][2900/4238] lr: 1.8090e-04 eta: 1 day, 3:08:30 time: 0.9814 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0790 loss: 2.0790 2022/09/23 06:06:41 - mmengine - INFO - Epoch(train) [7][3000/4238] lr: 1.8090e-04 eta: 1 day, 3:06:51 time: 0.9813 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1454 loss: 2.1454 2022/09/23 06:08:20 - mmengine - INFO - Epoch(train) [7][3100/4238] lr: 1.8090e-04 eta: 1 day, 3:05:11 time: 0.9906 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7989 loss: 1.7989 2022/09/23 06:09:59 - mmengine - INFO - Epoch(train) [7][3200/4238] lr: 1.8090e-04 eta: 1 day, 3:03:31 time: 0.9811 data_time: 0.0164 memory: 68898 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2569 loss: 2.2569 2022/09/23 06:11:38 - mmengine - INFO - Epoch(train) [7][3300/4238] lr: 1.8090e-04 eta: 1 day, 3:01:52 time: 0.9939 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1515 loss: 2.1515 2022/09/23 06:13:17 - mmengine - INFO - Epoch(train) [7][3400/4238] lr: 1.8090e-04 eta: 1 day, 3:00:15 time: 1.0025 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9085 loss: 1.9085 2022/09/23 06:14:56 - mmengine - INFO - Epoch(train) [7][3500/4238] lr: 1.8090e-04 eta: 1 day, 2:58:37 time: 0.9834 data_time: 0.0169 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1830 loss: 2.1830 2022/09/23 06:16:07 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 06:16:35 - mmengine - INFO - Epoch(train) [7][3600/4238] lr: 1.8090e-04 eta: 1 day, 2:56:59 time: 0.9892 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8239 loss: 1.8239 2022/09/23 06:18:15 - mmengine - INFO - Epoch(train) [7][3700/4238] lr: 1.8090e-04 eta: 1 day, 2:55:22 time: 0.9912 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0880 loss: 2.0880 2022/09/23 06:19:54 - mmengine - INFO - Epoch(train) [7][3800/4238] lr: 1.8090e-04 eta: 1 day, 2:53:43 time: 0.9881 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0103 loss: 2.0103 2022/09/23 06:21:33 - mmengine - INFO - Epoch(train) [7][3900/4238] lr: 1.8090e-04 eta: 1 day, 2:52:05 time: 0.9874 data_time: 0.0167 memory: 68898 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5195 loss: 2.5195 2022/09/23 06:23:12 - mmengine - INFO - Epoch(train) [7][4000/4238] lr: 1.8090e-04 eta: 1 day, 2:50:27 time: 0.9952 data_time: 0.0174 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1072 loss: 2.1072 2022/09/23 06:24:51 - mmengine - INFO - Epoch(train) [7][4100/4238] lr: 1.8090e-04 eta: 1 day, 2:48:48 time: 0.9883 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8947 loss: 1.8947 2022/09/23 06:26:29 - mmengine - INFO - Epoch(train) [7][4200/4238] lr: 1.8090e-04 eta: 1 day, 2:47:08 time: 0.9822 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7652 loss: 1.7652 2022/09/23 06:27:06 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 06:27:06 - mmengine - INFO - Epoch(train) [7][4238/4238] lr: 1.8090e-04 eta: 1 day, 2:46:48 time: 0.9543 data_time: 0.0192 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9394 loss: 1.9394 2022/09/23 06:28:47 - mmengine - INFO - Epoch(train) [8][100/4238] lr: 1.7431e-04 eta: 1 day, 2:43:58 time: 0.9882 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0988 loss: 2.0988 2022/09/23 06:30:25 - mmengine - INFO - Epoch(train) [8][200/4238] lr: 1.7431e-04 eta: 1 day, 2:42:18 time: 0.9804 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9030 loss: 1.9030 2022/09/23 06:32:04 - mmengine - INFO - Epoch(train) [8][300/4238] lr: 1.7431e-04 eta: 1 day, 2:40:39 time: 0.9892 data_time: 0.0164 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8479 loss: 1.8479 2022/09/23 06:32:38 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 06:33:44 - mmengine - INFO - Epoch(train) [8][400/4238] lr: 1.7431e-04 eta: 1 day, 2:39:03 time: 0.9837 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0137 loss: 2.0137 2022/09/23 06:35:22 - mmengine - INFO - Epoch(train) [8][500/4238] lr: 1.7431e-04 eta: 1 day, 2:37:23 time: 0.9921 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7943 loss: 1.7943 2022/09/23 06:37:01 - mmengine - INFO - Epoch(train) [8][600/4238] lr: 1.7431e-04 eta: 1 day, 2:35:45 time: 0.9874 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0735 loss: 2.0735 2022/09/23 06:38:41 - mmengine - INFO - Epoch(train) [8][700/4238] lr: 1.7431e-04 eta: 1 day, 2:34:08 time: 1.0050 data_time: 0.0179 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9541 loss: 1.9541 2022/09/23 06:40:20 - mmengine - INFO - Epoch(train) [8][800/4238] lr: 1.7431e-04 eta: 1 day, 2:32:31 time: 0.9832 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0728 loss: 2.0728 2022/09/23 06:41:59 - mmengine - INFO - Epoch(train) [8][900/4238] lr: 1.7431e-04 eta: 1 day, 2:30:52 time: 0.9912 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1753 loss: 2.1753 2022/09/23 06:43:39 - mmengine - INFO - Epoch(train) [8][1000/4238] lr: 1.7431e-04 eta: 1 day, 2:29:16 time: 0.9959 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9061 loss: 1.9061 2022/09/23 06:45:17 - mmengine - INFO - Epoch(train) [8][1100/4238] lr: 1.7431e-04 eta: 1 day, 2:27:36 time: 0.9826 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8396 loss: 1.8396 2022/09/23 06:46:57 - mmengine - INFO - Epoch(train) [8][1200/4238] lr: 1.7431e-04 eta: 1 day, 2:25:59 time: 0.9968 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8558 loss: 1.8558 2022/09/23 06:48:35 - mmengine - INFO - Epoch(train) [8][1300/4238] lr: 1.7431e-04 eta: 1 day, 2:24:20 time: 0.9851 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7434 loss: 1.7434 2022/09/23 06:49:09 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 06:50:14 - mmengine - INFO - Epoch(train) [8][1400/4238] lr: 1.7431e-04 eta: 1 day, 2:22:41 time: 0.9902 data_time: 0.0179 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6220 loss: 1.6220 2022/09/23 06:51:53 - mmengine - INFO - Epoch(train) [8][1500/4238] lr: 1.7431e-04 eta: 1 day, 2:21:02 time: 0.9783 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7124 loss: 1.7124 2022/09/23 06:53:32 - mmengine - INFO - Epoch(train) [8][1600/4238] lr: 1.7431e-04 eta: 1 day, 2:19:23 time: 0.9836 data_time: 0.0171 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9923 loss: 1.9923 2022/09/23 06:55:11 - mmengine - INFO - Epoch(train) [8][1700/4238] lr: 1.7431e-04 eta: 1 day, 2:17:45 time: 0.9971 data_time: 0.0182 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9586 loss: 1.9586 2022/09/23 06:56:50 - mmengine - INFO - Epoch(train) [8][1800/4238] lr: 1.7431e-04 eta: 1 day, 2:16:07 time: 0.9944 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3296 loss: 2.3296 2022/09/23 06:58:29 - mmengine - INFO - Epoch(train) [8][1900/4238] lr: 1.7431e-04 eta: 1 day, 2:14:28 time: 0.9820 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9695 loss: 1.9695 2022/09/23 07:00:08 - mmengine - INFO - Epoch(train) [8][2000/4238] lr: 1.7431e-04 eta: 1 day, 2:12:50 time: 0.9960 data_time: 0.0173 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1317 loss: 2.1317 2022/09/23 07:01:48 - mmengine - INFO - Epoch(train) [8][2100/4238] lr: 1.7431e-04 eta: 1 day, 2:11:13 time: 0.9916 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7823 loss: 1.7823 2022/09/23 07:03:27 - mmengine - INFO - Epoch(train) [8][2200/4238] lr: 1.7431e-04 eta: 1 day, 2:09:36 time: 0.9882 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8330 loss: 1.8330 2022/09/23 07:05:06 - mmengine - INFO - Epoch(train) [8][2300/4238] lr: 1.7431e-04 eta: 1 day, 2:07:58 time: 0.9937 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9487 loss: 1.9487 2022/09/23 07:05:40 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 07:06:46 - mmengine - INFO - Epoch(train) [8][2400/4238] lr: 1.7431e-04 eta: 1 day, 2:06:22 time: 0.9983 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6861 loss: 1.6861 2022/09/23 07:08:25 - mmengine - INFO - Epoch(train) [8][2500/4238] lr: 1.7431e-04 eta: 1 day, 2:04:45 time: 0.9831 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7999 loss: 1.7999 2022/09/23 07:10:04 - mmengine - INFO - Epoch(train) [8][2600/4238] lr: 1.7431e-04 eta: 1 day, 2:03:05 time: 0.9792 data_time: 0.0168 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0337 loss: 2.0337 2022/09/23 07:11:43 - mmengine - INFO - Epoch(train) [8][2700/4238] lr: 1.7431e-04 eta: 1 day, 2:01:26 time: 0.9905 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1877 loss: 2.1877 2022/09/23 07:13:22 - mmengine - INFO - Epoch(train) [8][2800/4238] lr: 1.7431e-04 eta: 1 day, 1:59:47 time: 0.9945 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9505 loss: 1.9505 2022/09/23 07:15:00 - mmengine - INFO - Epoch(train) [8][2900/4238] lr: 1.7431e-04 eta: 1 day, 1:58:08 time: 0.9855 data_time: 0.0176 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1724 loss: 2.1724 2022/09/23 07:16:40 - mmengine - INFO - Epoch(train) [8][3000/4238] lr: 1.7431e-04 eta: 1 day, 1:56:31 time: 1.0017 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9942 loss: 1.9942 2022/09/23 07:18:20 - mmengine - INFO - Epoch(train) [8][3100/4238] lr: 1.7431e-04 eta: 1 day, 1:54:56 time: 0.9975 data_time: 0.0163 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9535 loss: 1.9535 2022/09/23 07:19:59 - mmengine - INFO - Epoch(train) [8][3200/4238] lr: 1.7431e-04 eta: 1 day, 1:53:18 time: 0.9980 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9616 loss: 1.9616 2022/09/23 07:21:38 - mmengine - INFO - Epoch(train) [8][3300/4238] lr: 1.7431e-04 eta: 1 day, 1:51:39 time: 0.9835 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8538 loss: 1.8538 2022/09/23 07:22:11 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 07:23:16 - mmengine - INFO - Epoch(train) [8][3400/4238] lr: 1.7431e-04 eta: 1 day, 1:49:58 time: 0.9792 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2332 loss: 2.2332 2022/09/23 07:24:55 - mmengine - INFO - Epoch(train) [8][3500/4238] lr: 1.7431e-04 eta: 1 day, 1:48:18 time: 0.9881 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0687 loss: 2.0687 2022/09/23 07:26:34 - mmengine - INFO - Epoch(train) [8][3600/4238] lr: 1.7431e-04 eta: 1 day, 1:46:40 time: 0.9942 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9802 loss: 1.9802 2022/09/23 07:28:13 - mmengine - INFO - Epoch(train) [8][3700/4238] lr: 1.7431e-04 eta: 1 day, 1:45:02 time: 1.0011 data_time: 0.0171 memory: 68898 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2293 loss: 2.2293 2022/09/23 07:29:52 - mmengine - INFO - Epoch(train) [8][3800/4238] lr: 1.7431e-04 eta: 1 day, 1:43:23 time: 0.9817 data_time: 0.0163 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0825 loss: 2.0825 2022/09/23 07:31:30 - mmengine - INFO - Epoch(train) [8][3900/4238] lr: 1.7431e-04 eta: 1 day, 1:41:43 time: 0.9899 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2287 loss: 2.2287 2022/09/23 07:33:09 - mmengine - INFO - Epoch(train) [8][4000/4238] lr: 1.7431e-04 eta: 1 day, 1:40:04 time: 0.9839 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1915 loss: 2.1915 2022/09/23 07:34:48 - mmengine - INFO - Epoch(train) [8][4100/4238] lr: 1.7431e-04 eta: 1 day, 1:38:24 time: 0.9857 data_time: 0.0173 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0347 loss: 2.0347 2022/09/23 07:36:26 - mmengine - INFO - Epoch(train) [8][4200/4238] lr: 1.7431e-04 eta: 1 day, 1:36:44 time: 0.9869 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6737 loss: 1.6737 2022/09/23 07:37:04 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 07:37:04 - mmengine - INFO - Epoch(train) [8][4238/4238] lr: 1.7431e-04 eta: 1 day, 1:36:25 time: 0.9876 data_time: 0.0187 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0688 loss: 2.0688 2022/09/23 07:38:41 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 07:38:45 - mmengine - INFO - Epoch(train) [9][100/4238] lr: 1.6691e-04 eta: 1 day, 1:33:45 time: 0.9781 data_time: 0.0171 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9081 loss: 1.9081 2022/09/23 07:40:23 - mmengine - INFO - Epoch(train) [9][200/4238] lr: 1.6691e-04 eta: 1 day, 1:32:04 time: 0.9788 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6818 loss: 1.6818 2022/09/23 07:42:02 - mmengine - INFO - Epoch(train) [9][300/4238] lr: 1.6691e-04 eta: 1 day, 1:30:26 time: 0.9865 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9602 loss: 1.9602 2022/09/23 07:43:40 - mmengine - INFO - Epoch(train) [9][400/4238] lr: 1.6691e-04 eta: 1 day, 1:28:46 time: 0.9775 data_time: 0.0161 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9012 loss: 1.9012 2022/09/23 07:45:19 - mmengine - INFO - Epoch(train) [9][500/4238] lr: 1.6691e-04 eta: 1 day, 1:27:06 time: 0.9835 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2785 loss: 2.2785 2022/09/23 07:46:57 - mmengine - INFO - Epoch(train) [9][600/4238] lr: 1.6691e-04 eta: 1 day, 1:25:27 time: 0.9835 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9404 loss: 1.9404 2022/09/23 07:48:36 - mmengine - INFO - Epoch(train) [9][700/4238] lr: 1.6691e-04 eta: 1 day, 1:23:47 time: 0.9852 data_time: 0.0164 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8090 loss: 1.8090 2022/09/23 07:50:14 - mmengine - INFO - Epoch(train) [9][800/4238] lr: 1.6691e-04 eta: 1 day, 1:22:06 time: 0.9820 data_time: 0.0164 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2711 loss: 2.2711 2022/09/23 07:51:52 - mmengine - INFO - Epoch(train) [9][900/4238] lr: 1.6691e-04 eta: 1 day, 1:20:26 time: 0.9827 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1798 loss: 2.1798 2022/09/23 07:53:30 - mmengine - INFO - Epoch(train) [9][1000/4238] lr: 1.6691e-04 eta: 1 day, 1:18:46 time: 0.9841 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1102 loss: 2.1102 2022/09/23 07:55:05 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 07:55:09 - mmengine - INFO - Epoch(train) [9][1100/4238] lr: 1.6691e-04 eta: 1 day, 1:17:06 time: 0.9848 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0867 loss: 2.0867 2022/09/23 07:56:47 - mmengine - INFO - Epoch(train) [9][1200/4238] lr: 1.6691e-04 eta: 1 day, 1:15:27 time: 0.9802 data_time: 0.0171 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0133 loss: 2.0133 2022/09/23 07:58:26 - mmengine - INFO - Epoch(train) [9][1300/4238] lr: 1.6691e-04 eta: 1 day, 1:13:47 time: 0.9870 data_time: 0.0172 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8999 loss: 1.8999 2022/09/23 08:00:04 - mmengine - INFO - Epoch(train) [9][1400/4238] lr: 1.6691e-04 eta: 1 day, 1:12:08 time: 0.9848 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0133 loss: 2.0133 2022/09/23 08:01:43 - mmengine - INFO - Epoch(train) [9][1500/4238] lr: 1.6691e-04 eta: 1 day, 1:10:28 time: 0.9815 data_time: 0.0163 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3353 loss: 2.3353 2022/09/23 08:03:22 - mmengine - INFO - Epoch(train) [9][1600/4238] lr: 1.6691e-04 eta: 1 day, 1:08:49 time: 0.9829 data_time: 0.0162 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8662 loss: 1.8662 2022/09/23 08:05:00 - mmengine - INFO - Epoch(train) [9][1700/4238] lr: 1.6691e-04 eta: 1 day, 1:07:09 time: 0.9807 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8709 loss: 1.8709 2022/09/23 08:06:39 - mmengine - INFO - Epoch(train) [9][1800/4238] lr: 1.6691e-04 eta: 1 day, 1:05:30 time: 0.9909 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9574 loss: 1.9574 2022/09/23 08:08:17 - mmengine - INFO - Epoch(train) [9][1900/4238] lr: 1.6691e-04 eta: 1 day, 1:03:50 time: 0.9826 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0718 loss: 2.0718 2022/09/23 08:09:56 - mmengine - INFO - Epoch(train) [9][2000/4238] lr: 1.6691e-04 eta: 1 day, 1:02:11 time: 0.9802 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9734 loss: 1.9734 2022/09/23 08:11:30 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 08:11:34 - mmengine - INFO - Epoch(train) [9][2100/4238] lr: 1.6691e-04 eta: 1 day, 1:00:32 time: 0.9881 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0196 loss: 2.0196 2022/09/23 08:13:13 - mmengine - INFO - Epoch(train) [9][2200/4238] lr: 1.6691e-04 eta: 1 day, 0:58:53 time: 0.9834 data_time: 0.0164 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8324 loss: 1.8324 2022/09/23 08:14:52 - mmengine - INFO - Epoch(train) [9][2300/4238] lr: 1.6691e-04 eta: 1 day, 0:57:14 time: 0.9824 data_time: 0.0164 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1579 loss: 2.1579 2022/09/23 08:16:31 - mmengine - INFO - Epoch(train) [9][2400/4238] lr: 1.6691e-04 eta: 1 day, 0:55:35 time: 0.9846 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6317 loss: 1.6317 2022/09/23 08:18:10 - mmengine - INFO - Epoch(train) [9][2500/4238] lr: 1.6691e-04 eta: 1 day, 0:53:57 time: 0.9873 data_time: 0.0163 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9816 loss: 1.9816 2022/09/23 08:19:48 - mmengine - INFO - Epoch(train) [9][2600/4238] lr: 1.6691e-04 eta: 1 day, 0:52:17 time: 0.9816 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1524 loss: 2.1524 2022/09/23 08:21:27 - mmengine - INFO - Epoch(train) [9][2700/4238] lr: 1.6691e-04 eta: 1 day, 0:50:38 time: 0.9858 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9050 loss: 1.9050 2022/09/23 08:23:05 - mmengine - INFO - Epoch(train) [9][2800/4238] lr: 1.6691e-04 eta: 1 day, 0:48:59 time: 0.9813 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8058 loss: 1.8058 2022/09/23 08:24:44 - mmengine - INFO - Epoch(train) [9][2900/4238] lr: 1.6691e-04 eta: 1 day, 0:47:20 time: 0.9826 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0651 loss: 2.0651 2022/09/23 08:26:23 - mmengine - INFO - Epoch(train) [9][3000/4238] lr: 1.6691e-04 eta: 1 day, 0:45:40 time: 0.9952 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0257 loss: 2.0257 2022/09/23 08:27:57 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 08:28:01 - mmengine - INFO - Epoch(train) [9][3100/4238] lr: 1.6691e-04 eta: 1 day, 0:44:01 time: 0.9804 data_time: 0.0164 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0070 loss: 2.0070 2022/09/23 08:29:40 - mmengine - INFO - Epoch(train) [9][3200/4238] lr: 1.6691e-04 eta: 1 day, 0:42:22 time: 0.9821 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7734 loss: 1.7734 2022/09/23 08:31:19 - mmengine - INFO - Epoch(train) [9][3300/4238] lr: 1.6691e-04 eta: 1 day, 0:40:44 time: 0.9942 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8303 loss: 1.8303 2022/09/23 08:32:58 - mmengine - INFO - Epoch(train) [9][3400/4238] lr: 1.6691e-04 eta: 1 day, 0:39:04 time: 0.9909 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1628 loss: 2.1628 2022/09/23 08:34:36 - mmengine - INFO - Epoch(train) [9][3500/4238] lr: 1.6691e-04 eta: 1 day, 0:37:26 time: 0.9941 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8426 loss: 1.8426 2022/09/23 08:36:15 - mmengine - INFO - Epoch(train) [9][3600/4238] lr: 1.6691e-04 eta: 1 day, 0:35:47 time: 0.9776 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0403 loss: 2.0403 2022/09/23 08:37:54 - mmengine - INFO - Epoch(train) [9][3700/4238] lr: 1.6691e-04 eta: 1 day, 0:34:08 time: 0.9900 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2526 loss: 2.2526 2022/09/23 08:39:33 - mmengine - INFO - Epoch(train) [9][3800/4238] lr: 1.6691e-04 eta: 1 day, 0:32:30 time: 0.9943 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9100 loss: 1.9100 2022/09/23 08:41:12 - mmengine - INFO - Epoch(train) [9][3900/4238] lr: 1.6691e-04 eta: 1 day, 0:30:51 time: 0.9824 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6576 loss: 1.6576 2022/09/23 08:42:51 - mmengine - INFO - Epoch(train) [9][4000/4238] lr: 1.6691e-04 eta: 1 day, 0:29:12 time: 0.9814 data_time: 0.0174 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1345 loss: 2.1345 2022/09/23 08:44:26 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 08:44:30 - mmengine - INFO - Epoch(train) [9][4100/4238] lr: 1.6691e-04 eta: 1 day, 0:27:34 time: 0.9908 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9397 loss: 1.9397 2022/09/23 08:46:10 - mmengine - INFO - Epoch(train) [9][4200/4238] lr: 1.6691e-04 eta: 1 day, 0:25:58 time: 0.9899 data_time: 0.0175 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9560 loss: 1.9560 2022/09/23 08:46:47 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 08:46:47 - mmengine - INFO - Epoch(train) [9][4238/4238] lr: 1.6691e-04 eta: 1 day, 0:25:39 time: 0.9732 data_time: 0.0186 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9907 loss: 1.9907 2022/09/23 08:46:47 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/09/23 08:47:38 - mmengine - INFO - Epoch(val) [9][100/273] eta: 0:01:08 time: 0.3986 data_time: 0.0093 memory: 14236 2022/09/23 08:48:18 - mmengine - INFO - Epoch(val) [9][200/273] eta: 0:00:29 time: 0.3988 data_time: 0.0091 memory: 14236 2022/09/23 08:48:51 - mmengine - INFO - Epoch(val) [9][273/273] acc/top1: 0.5985 acc/top5: 0.8216 acc/mean1: 0.5984 2022/09/23 08:48:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/mmaction2/work_dirs/swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb/best_acc/top1_epoch_6.pth is removed 2022/09/23 08:48:55 - mmengine - INFO - The best checkpoint with 0.5985 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/09/23 08:50:35 - mmengine - INFO - Epoch(train) [10][100/4238] lr: 1.5878e-04 eta: 1 day, 0:23:02 time: 0.9823 data_time: 0.0165 memory: 68898 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0361 loss: 2.0361 2022/09/23 08:52:15 - mmengine - INFO - Epoch(train) [10][200/4238] lr: 1.5878e-04 eta: 1 day, 0:21:27 time: 0.9879 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6088 loss: 1.6088 2022/09/23 08:53:54 - mmengine - INFO - Epoch(train) [10][300/4238] lr: 1.5878e-04 eta: 1 day, 0:19:48 time: 0.9812 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0165 loss: 2.0165 2022/09/23 08:55:32 - mmengine - INFO - Epoch(train) [10][400/4238] lr: 1.5878e-04 eta: 1 day, 0:18:09 time: 0.9878 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7972 loss: 1.7972 2022/09/23 08:57:11 - mmengine - INFO - Epoch(train) [10][500/4238] lr: 1.5878e-04 eta: 1 day, 0:16:30 time: 0.9802 data_time: 0.0166 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9371 loss: 1.9371 2022/09/23 08:58:50 - mmengine - INFO - Epoch(train) [10][600/4238] lr: 1.5878e-04 eta: 1 day, 0:14:51 time: 0.9873 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8343 loss: 1.8343 2022/09/23 09:00:29 - mmengine - INFO - Epoch(train) [10][700/4238] lr: 1.5878e-04 eta: 1 day, 0:13:12 time: 0.9778 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8693 loss: 1.8693 2022/09/23 09:02:08 - mmengine - INFO - Epoch(train) [10][800/4238] lr: 1.5878e-04 eta: 1 day, 0:11:34 time: 0.9882 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6437 loss: 1.6437 2022/09/23 09:03:05 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 09:03:46 - mmengine - INFO - Epoch(train) [10][900/4238] lr: 1.5878e-04 eta: 1 day, 0:09:55 time: 0.9802 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0013 loss: 2.0013 2022/09/23 09:05:25 - mmengine - INFO - Epoch(train) [10][1000/4238] lr: 1.5878e-04 eta: 1 day, 0:08:16 time: 0.9853 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6150 loss: 1.6150 2022/09/23 09:07:03 - mmengine - INFO - Epoch(train) [10][1100/4238] lr: 1.5878e-04 eta: 1 day, 0:06:36 time: 0.9793 data_time: 0.0162 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7228 loss: 1.7228 2022/09/23 09:08:42 - mmengine - INFO - Epoch(train) [10][1200/4238] lr: 1.5878e-04 eta: 1 day, 0:04:57 time: 0.9878 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7852 loss: 1.7852 2022/09/23 09:10:20 - mmengine - INFO - Epoch(train) [10][1300/4238] lr: 1.5878e-04 eta: 1 day, 0:03:18 time: 0.9873 data_time: 0.0170 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0831 loss: 2.0831 2022/09/23 09:11:59 - mmengine - INFO - Epoch(train) [10][1400/4238] lr: 1.5878e-04 eta: 1 day, 0:01:39 time: 0.9806 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8851 loss: 1.8851 2022/09/23 09:13:37 - mmengine - INFO - Epoch(train) [10][1500/4238] lr: 1.5878e-04 eta: 23:59:59 time: 0.9818 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0425 loss: 2.0425 2022/09/23 09:15:16 - mmengine - INFO - Epoch(train) [10][1600/4238] lr: 1.5878e-04 eta: 23:58:21 time: 0.9842 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9161 loss: 1.9161 2022/09/23 09:16:56 - mmengine - INFO - Epoch(train) [10][1700/4238] lr: 1.5878e-04 eta: 23:56:44 time: 0.9983 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7016 loss: 1.7016 2022/09/23 09:18:35 - mmengine - INFO - Epoch(train) [10][1800/4238] lr: 1.5878e-04 eta: 23:55:05 time: 0.9862 data_time: 0.0168 memory: 68898 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9674 loss: 1.9674 2022/09/23 09:19:32 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 09:20:13 - mmengine - INFO - Epoch(train) [10][1900/4238] lr: 1.5878e-04 eta: 23:53:27 time: 0.9789 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9472 loss: 1.9472 2022/09/23 09:21:52 - mmengine - INFO - Epoch(train) [10][2000/4238] lr: 1.5878e-04 eta: 23:51:47 time: 0.9862 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8433 loss: 1.8433 2022/09/23 09:23:30 - mmengine - INFO - Epoch(train) [10][2100/4238] lr: 1.5878e-04 eta: 23:50:08 time: 0.9817 data_time: 0.0171 memory: 68898 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3190 loss: 2.3190 2022/09/23 09:25:09 - mmengine - INFO - Epoch(train) [10][2200/4238] lr: 1.5878e-04 eta: 23:48:28 time: 0.9774 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9510 loss: 1.9510 2022/09/23 09:26:47 - mmengine - INFO - Epoch(train) [10][2300/4238] lr: 1.5878e-04 eta: 23:46:49 time: 0.9919 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0578 loss: 2.0578 2022/09/23 09:28:26 - mmengine - INFO - Epoch(train) [10][2400/4238] lr: 1.5878e-04 eta: 23:45:10 time: 0.9860 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9973 loss: 1.9973 2022/09/23 09:30:04 - mmengine - INFO - Epoch(train) [10][2500/4238] lr: 1.5878e-04 eta: 23:43:31 time: 0.9802 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5735 loss: 1.5735 2022/09/23 09:31:43 - mmengine - INFO - Epoch(train) [10][2600/4238] lr: 1.5878e-04 eta: 23:41:52 time: 0.9864 data_time: 0.0176 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1319 loss: 2.1319 2022/09/23 09:33:22 - mmengine - INFO - Epoch(train) [10][2700/4238] lr: 1.5878e-04 eta: 23:40:14 time: 0.9893 data_time: 0.0164 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9164 loss: 1.9164 2022/09/23 09:35:01 - mmengine - INFO - Epoch(train) [10][2800/4238] lr: 1.5878e-04 eta: 23:38:35 time: 0.9809 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6259 loss: 1.6259 2022/09/23 09:35:58 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 09:36:40 - mmengine - INFO - Epoch(train) [10][2900/4238] lr: 1.5878e-04 eta: 23:36:56 time: 0.9851 data_time: 0.0173 memory: 68898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9831 loss: 1.9831 2022/09/23 09:38:18 - mmengine - INFO - Epoch(train) [10][3000/4238] lr: 1.5878e-04 eta: 23:35:16 time: 0.9848 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8848 loss: 1.8848 2022/09/23 09:39:56 - mmengine - INFO - Epoch(train) [10][3100/4238] lr: 1.5878e-04 eta: 23:33:37 time: 0.9805 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8489 loss: 1.8489 2022/09/23 09:41:35 - mmengine - INFO - Epoch(train) [10][3200/4238] lr: 1.5878e-04 eta: 23:31:58 time: 0.9892 data_time: 0.0164 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1125 loss: 2.1125 2022/09/23 09:43:14 - mmengine - INFO - Epoch(train) [10][3300/4238] lr: 1.5878e-04 eta: 23:30:20 time: 0.9955 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0408 loss: 2.0408 2022/09/23 09:44:53 - mmengine - INFO - Epoch(train) [10][3400/4238] lr: 1.5878e-04 eta: 23:28:41 time: 0.9913 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9801 loss: 1.9801 2022/09/23 09:46:32 - mmengine - INFO - Epoch(train) [10][3500/4238] lr: 1.5878e-04 eta: 23:27:02 time: 0.9904 data_time: 0.0157 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6260 loss: 1.6260 2022/09/23 09:48:10 - mmengine - INFO - Epoch(train) [10][3600/4238] lr: 1.5878e-04 eta: 23:25:23 time: 0.9783 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2074 loss: 2.2074 2022/09/23 09:49:49 - mmengine - INFO - Epoch(train) [10][3700/4238] lr: 1.5878e-04 eta: 23:23:44 time: 0.9874 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0291 loss: 2.0291 2022/09/23 09:51:27 - mmengine - INFO - Epoch(train) [10][3800/4238] lr: 1.5878e-04 eta: 23:22:05 time: 0.9896 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0868 loss: 2.0868 2022/09/23 09:52:24 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 09:53:06 - mmengine - INFO - Epoch(train) [10][3900/4238] lr: 1.5878e-04 eta: 23:20:26 time: 0.9963 data_time: 0.0163 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0985 loss: 2.0985 2022/09/23 09:54:45 - mmengine - INFO - Epoch(train) [10][4000/4238] lr: 1.5878e-04 eta: 23:18:47 time: 0.9930 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8014 loss: 1.8014 2022/09/23 09:56:23 - mmengine - INFO - Epoch(train) [10][4100/4238] lr: 1.5878e-04 eta: 23:17:09 time: 0.9823 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7974 loss: 1.7974 2022/09/23 09:58:02 - mmengine - INFO - Epoch(train) [10][4200/4238] lr: 1.5878e-04 eta: 23:15:29 time: 0.9832 data_time: 0.0164 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8932 loss: 1.8932 2022/09/23 09:58:39 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 09:58:39 - mmengine - INFO - Epoch(train) [10][4238/4238] lr: 1.5878e-04 eta: 23:15:10 time: 0.9774 data_time: 0.0180 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0841 loss: 2.0841 2022/09/23 10:00:21 - mmengine - INFO - Epoch(train) [11][100/4238] lr: 1.5000e-04 eta: 23:12:44 time: 0.9915 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7930 loss: 1.7930 2022/09/23 10:02:00 - mmengine - INFO - Epoch(train) [11][200/4238] lr: 1.5000e-04 eta: 23:11:05 time: 0.9865 data_time: 0.0163 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7042 loss: 1.7042 2022/09/23 10:03:38 - mmengine - INFO - Epoch(train) [11][300/4238] lr: 1.5000e-04 eta: 23:09:26 time: 0.9821 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8034 loss: 1.8034 2022/09/23 10:05:17 - mmengine - INFO - Epoch(train) [11][400/4238] lr: 1.5000e-04 eta: 23:07:47 time: 0.9888 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9371 loss: 1.9371 2022/09/23 10:06:56 - mmengine - INFO - Epoch(train) [11][500/4238] lr: 1.5000e-04 eta: 23:06:08 time: 0.9805 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4863 loss: 1.4863 2022/09/23 10:08:34 - mmengine - INFO - Epoch(train) [11][600/4238] lr: 1.5000e-04 eta: 23:04:29 time: 0.9849 data_time: 0.0162 memory: 68898 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8961 loss: 1.8961 2022/09/23 10:08:54 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 10:10:13 - mmengine - INFO - Epoch(train) [11][700/4238] lr: 1.5000e-04 eta: 23:02:50 time: 0.9788 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1034 loss: 2.1034 2022/09/23 10:11:51 - mmengine - INFO - Epoch(train) [11][800/4238] lr: 1.5000e-04 eta: 23:01:10 time: 0.9841 data_time: 0.0178 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0209 loss: 2.0209 2022/09/23 10:13:29 - mmengine - INFO - Epoch(train) [11][900/4238] lr: 1.5000e-04 eta: 22:59:31 time: 0.9773 data_time: 0.0164 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8063 loss: 1.8063 2022/09/23 10:15:08 - mmengine - INFO - Epoch(train) [11][1000/4238] lr: 1.5000e-04 eta: 22:57:53 time: 0.9846 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7885 loss: 1.7885 2022/09/23 10:16:47 - mmengine - INFO - Epoch(train) [11][1100/4238] lr: 1.5000e-04 eta: 22:56:14 time: 0.9793 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2914 loss: 2.2914 2022/09/23 10:18:25 - mmengine - INFO - Epoch(train) [11][1200/4238] lr: 1.5000e-04 eta: 22:54:35 time: 0.9837 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8716 loss: 1.8716 2022/09/23 10:20:07 - mmengine - INFO - Epoch(train) [11][1300/4238] lr: 1.5000e-04 eta: 22:53:01 time: 0.9927 data_time: 0.0184 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6022 loss: 1.6022 2022/09/23 10:21:45 - mmengine - INFO - Epoch(train) [11][1400/4238] lr: 1.5000e-04 eta: 22:51:22 time: 0.9914 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6296 loss: 1.6296 2022/09/23 10:23:24 - mmengine - INFO - Epoch(train) [11][1500/4238] lr: 1.5000e-04 eta: 22:49:44 time: 0.9842 data_time: 0.0164 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6719 loss: 1.6719 2022/09/23 10:25:03 - mmengine - INFO - Epoch(train) [11][1600/4238] lr: 1.5000e-04 eta: 22:48:05 time: 0.9947 data_time: 0.0174 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9237 loss: 1.9237 2022/09/23 10:25:23 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 10:26:42 - mmengine - INFO - Epoch(train) [11][1700/4238] lr: 1.5000e-04 eta: 22:46:27 time: 0.9958 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0190 loss: 2.0190 2022/09/23 10:28:21 - mmengine - INFO - Epoch(train) [11][1800/4238] lr: 1.5000e-04 eta: 22:44:49 time: 1.0044 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9615 loss: 1.9615 2022/09/23 10:30:00 - mmengine - INFO - Epoch(train) [11][1900/4238] lr: 1.5000e-04 eta: 22:43:11 time: 0.9942 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6525 loss: 1.6525 2022/09/23 10:31:38 - mmengine - INFO - Epoch(train) [11][2000/4238] lr: 1.5000e-04 eta: 22:41:31 time: 0.9827 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6996 loss: 1.6996 2022/09/23 10:33:17 - mmengine - INFO - Epoch(train) [11][2100/4238] lr: 1.5000e-04 eta: 22:39:52 time: 0.9929 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0116 loss: 2.0116 2022/09/23 10:34:55 - mmengine - INFO - Epoch(train) [11][2200/4238] lr: 1.5000e-04 eta: 22:38:13 time: 0.9826 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6283 loss: 1.6283 2022/09/23 10:36:34 - mmengine - INFO - Epoch(train) [11][2300/4238] lr: 1.5000e-04 eta: 22:36:34 time: 0.9865 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8793 loss: 1.8793 2022/09/23 10:38:13 - mmengine - INFO - Epoch(train) [11][2400/4238] lr: 1.5000e-04 eta: 22:34:55 time: 0.9963 data_time: 0.0172 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8987 loss: 1.8987 2022/09/23 10:39:51 - mmengine - INFO - Epoch(train) [11][2500/4238] lr: 1.5000e-04 eta: 22:33:15 time: 0.9797 data_time: 0.0171 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0706 loss: 2.0706 2022/09/23 10:41:30 - mmengine - INFO - Epoch(train) [11][2600/4238] lr: 1.5000e-04 eta: 22:31:37 time: 0.9985 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9319 loss: 1.9319 2022/09/23 10:41:50 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 10:43:09 - mmengine - INFO - Epoch(train) [11][2700/4238] lr: 1.5000e-04 eta: 22:29:59 time: 0.9876 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8120 loss: 1.8120 2022/09/23 10:44:48 - mmengine - INFO - Epoch(train) [11][2800/4238] lr: 1.5000e-04 eta: 22:28:21 time: 0.9912 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9233 loss: 1.9233 2022/09/23 10:46:27 - mmengine - INFO - Epoch(train) [11][2900/4238] lr: 1.5000e-04 eta: 22:26:43 time: 0.9937 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6272 loss: 1.6272 2022/09/23 10:48:06 - mmengine - INFO - Epoch(train) [11][3000/4238] lr: 1.5000e-04 eta: 22:25:04 time: 0.9824 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9393 loss: 1.9393 2022/09/23 10:49:44 - mmengine - INFO - Epoch(train) [11][3100/4238] lr: 1.5000e-04 eta: 22:23:24 time: 0.9809 data_time: 0.0186 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1159 loss: 2.1159 2022/09/23 10:51:22 - mmengine - INFO - Epoch(train) [11][3200/4238] lr: 1.5000e-04 eta: 22:21:46 time: 0.9848 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8867 loss: 1.8867 2022/09/23 10:53:01 - mmengine - INFO - Epoch(train) [11][3300/4238] lr: 1.5000e-04 eta: 22:20:07 time: 0.9837 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0113 loss: 2.0113 2022/09/23 10:54:40 - mmengine - INFO - Epoch(train) [11][3400/4238] lr: 1.5000e-04 eta: 22:18:28 time: 0.9796 data_time: 0.0176 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6766 loss: 1.6766 2022/09/23 10:56:18 - mmengine - INFO - Epoch(train) [11][3500/4238] lr: 1.5000e-04 eta: 22:16:49 time: 0.9940 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6883 loss: 1.6883 2022/09/23 10:57:57 - mmengine - INFO - Epoch(train) [11][3600/4238] lr: 1.5000e-04 eta: 22:15:10 time: 0.9832 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8585 loss: 1.8585 2022/09/23 10:58:17 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 10:59:35 - mmengine - INFO - Epoch(train) [11][3700/4238] lr: 1.5000e-04 eta: 22:13:31 time: 0.9793 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7311 loss: 1.7311 2022/09/23 11:01:14 - mmengine - INFO - Epoch(train) [11][3800/4238] lr: 1.5000e-04 eta: 22:11:51 time: 0.9869 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7654 loss: 1.7654 2022/09/23 11:02:52 - mmengine - INFO - Epoch(train) [11][3900/4238] lr: 1.5000e-04 eta: 22:10:13 time: 0.9829 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9816 loss: 1.9816 2022/09/23 11:04:31 - mmengine - INFO - Epoch(train) [11][4000/4238] lr: 1.5000e-04 eta: 22:08:33 time: 0.9872 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0956 loss: 2.0956 2022/09/23 11:06:10 - mmengine - INFO - Epoch(train) [11][4100/4238] lr: 1.5000e-04 eta: 22:06:55 time: 0.9981 data_time: 0.0172 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9890 loss: 1.9890 2022/09/23 11:07:48 - mmengine - INFO - Epoch(train) [11][4200/4238] lr: 1.5000e-04 eta: 22:05:16 time: 0.9814 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6400 loss: 1.6400 2022/09/23 11:08:26 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 11:08:26 - mmengine - INFO - Epoch(train) [11][4238/4238] lr: 1.5000e-04 eta: 22:04:57 time: 0.9760 data_time: 0.0170 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1377 loss: 2.1377 2022/09/23 11:10:07 - mmengine - INFO - Epoch(train) [12][100/4238] lr: 1.4067e-04 eta: 22:02:33 time: 0.9804 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9068 loss: 1.9068 2022/09/23 11:11:45 - mmengine - INFO - Epoch(train) [12][200/4238] lr: 1.4067e-04 eta: 22:00:55 time: 0.9899 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0613 loss: 2.0613 2022/09/23 11:13:24 - mmengine - INFO - Epoch(train) [12][300/4238] lr: 1.4067e-04 eta: 21:59:16 time: 0.9854 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7344 loss: 1.7344 2022/09/23 11:14:44 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 11:15:02 - mmengine - INFO - Epoch(train) [12][400/4238] lr: 1.4067e-04 eta: 21:57:36 time: 0.9853 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9271 loss: 1.9271 2022/09/23 11:16:41 - mmengine - INFO - Epoch(train) [12][500/4238] lr: 1.4067e-04 eta: 21:55:58 time: 0.9821 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7572 loss: 1.7572 2022/09/23 11:18:20 - mmengine - INFO - Epoch(train) [12][600/4238] lr: 1.4067e-04 eta: 21:54:19 time: 0.9801 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9136 loss: 1.9136 2022/09/23 11:19:58 - mmengine - INFO - Epoch(train) [12][700/4238] lr: 1.4067e-04 eta: 21:52:41 time: 0.9845 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7968 loss: 1.7968 2022/09/23 11:21:37 - mmengine - INFO - Epoch(train) [12][800/4238] lr: 1.4067e-04 eta: 21:51:01 time: 0.9779 data_time: 0.0170 memory: 68898 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8181 loss: 1.8181 2022/09/23 11:23:15 - mmengine - INFO - Epoch(train) [12][900/4238] lr: 1.4067e-04 eta: 21:49:22 time: 0.9854 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9681 loss: 1.9681 2022/09/23 11:24:54 - mmengine - INFO - Epoch(train) [12][1000/4238] lr: 1.4067e-04 eta: 21:47:43 time: 0.9844 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6674 loss: 1.6674 2022/09/23 11:26:32 - mmengine - INFO - Epoch(train) [12][1100/4238] lr: 1.4067e-04 eta: 21:46:04 time: 0.9888 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1030 loss: 2.1030 2022/09/23 11:28:12 - mmengine - INFO - Epoch(train) [12][1200/4238] lr: 1.4067e-04 eta: 21:44:28 time: 0.9919 data_time: 0.0170 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0130 loss: 2.0130 2022/09/23 11:29:51 - mmengine - INFO - Epoch(train) [12][1300/4238] lr: 1.4067e-04 eta: 21:42:50 time: 0.9816 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7308 loss: 1.7308 2022/09/23 11:31:12 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 11:31:30 - mmengine - INFO - Epoch(train) [12][1400/4238] lr: 1.4067e-04 eta: 21:41:11 time: 0.9849 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7552 loss: 1.7552 2022/09/23 11:33:10 - mmengine - INFO - Epoch(train) [12][1500/4238] lr: 1.4067e-04 eta: 21:39:34 time: 1.0004 data_time: 0.0177 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5634 loss: 1.5634 2022/09/23 11:34:49 - mmengine - INFO - Epoch(train) [12][1600/4238] lr: 1.4067e-04 eta: 21:37:56 time: 0.9959 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6783 loss: 1.6783 2022/09/23 11:36:28 - mmengine - INFO - Epoch(train) [12][1700/4238] lr: 1.4067e-04 eta: 21:36:18 time: 1.0020 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7890 loss: 1.7890 2022/09/23 11:38:07 - mmengine - INFO - Epoch(train) [12][1800/4238] lr: 1.4067e-04 eta: 21:34:40 time: 0.9978 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7778 loss: 1.7778 2022/09/23 11:39:46 - mmengine - INFO - Epoch(train) [12][1900/4238] lr: 1.4067e-04 eta: 21:33:02 time: 0.9964 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8141 loss: 1.8141 2022/09/23 11:41:25 - mmengine - INFO - Epoch(train) [12][2000/4238] lr: 1.4067e-04 eta: 21:31:24 time: 0.9917 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7787 loss: 1.7787 2022/09/23 11:43:04 - mmengine - INFO - Epoch(train) [12][2100/4238] lr: 1.4067e-04 eta: 21:29:45 time: 0.9805 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7390 loss: 1.7390 2022/09/23 11:44:44 - mmengine - INFO - Epoch(train) [12][2200/4238] lr: 1.4067e-04 eta: 21:28:08 time: 0.9988 data_time: 0.0172 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8481 loss: 1.8481 2022/09/23 11:46:22 - mmengine - INFO - Epoch(train) [12][2300/4238] lr: 1.4067e-04 eta: 21:26:30 time: 0.9806 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6624 loss: 1.6624 2022/09/23 11:47:44 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 11:48:01 - mmengine - INFO - Epoch(train) [12][2400/4238] lr: 1.4067e-04 eta: 21:24:51 time: 0.9787 data_time: 0.0175 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0019 loss: 2.0019 2022/09/23 11:49:40 - mmengine - INFO - Epoch(train) [12][2500/4238] lr: 1.4067e-04 eta: 21:23:13 time: 0.9862 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6294 loss: 1.6294 2022/09/23 11:51:19 - mmengine - INFO - Epoch(train) [12][2600/4238] lr: 1.4067e-04 eta: 21:21:35 time: 0.9871 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7503 loss: 1.7503 2022/09/23 11:52:58 - mmengine - INFO - Epoch(train) [12][2700/4238] lr: 1.4067e-04 eta: 21:19:56 time: 0.9875 data_time: 0.0162 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8482 loss: 1.8482 2022/09/23 11:54:37 - mmengine - INFO - Epoch(train) [12][2800/4238] lr: 1.4067e-04 eta: 21:18:17 time: 0.9894 data_time: 0.0174 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5781 loss: 1.5781 2022/09/23 11:56:16 - mmengine - INFO - Epoch(train) [12][2900/4238] lr: 1.4067e-04 eta: 21:16:39 time: 0.9803 data_time: 0.0172 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5095 loss: 1.5095 2022/09/23 11:57:54 - mmengine - INFO - Epoch(train) [12][3000/4238] lr: 1.4067e-04 eta: 21:15:00 time: 0.9812 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7229 loss: 1.7229 2022/09/23 11:59:33 - mmengine - INFO - Epoch(train) [12][3100/4238] lr: 1.4067e-04 eta: 21:13:21 time: 0.9820 data_time: 0.0176 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7445 loss: 1.7445 2022/09/23 12:01:14 - mmengine - INFO - Epoch(train) [12][3200/4238] lr: 1.4067e-04 eta: 21:11:47 time: 0.9878 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7507 loss: 1.7507 2022/09/23 12:02:53 - mmengine - INFO - Epoch(train) [12][3300/4238] lr: 1.4067e-04 eta: 21:10:09 time: 1.0013 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7936 loss: 1.7936 2022/09/23 12:04:15 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 12:04:32 - mmengine - INFO - Epoch(train) [12][3400/4238] lr: 1.4067e-04 eta: 21:08:30 time: 0.9811 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9986 loss: 1.9986 2022/09/23 12:06:11 - mmengine - INFO - Epoch(train) [12][3500/4238] lr: 1.4067e-04 eta: 21:06:51 time: 0.9844 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6761 loss: 1.6761 2022/09/23 12:07:49 - mmengine - INFO - Epoch(train) [12][3600/4238] lr: 1.4067e-04 eta: 21:05:13 time: 0.9814 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0036 loss: 2.0036 2022/09/23 12:09:30 - mmengine - INFO - Epoch(train) [12][3700/4238] lr: 1.4067e-04 eta: 21:03:37 time: 0.9807 data_time: 0.0172 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5469 loss: 1.5469 2022/09/23 12:11:09 - mmengine - INFO - Epoch(train) [12][3800/4238] lr: 1.4067e-04 eta: 21:01:59 time: 0.9925 data_time: 0.0168 memory: 68898 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.7625 loss: 1.7625 2022/09/23 12:12:48 - mmengine - INFO - Epoch(train) [12][3900/4238] lr: 1.4067e-04 eta: 21:00:20 time: 0.9919 data_time: 0.0170 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2624 loss: 2.2624 2022/09/23 12:14:27 - mmengine - INFO - Epoch(train) [12][4000/4238] lr: 1.4067e-04 eta: 20:58:41 time: 0.9882 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0632 loss: 2.0632 2022/09/23 12:16:05 - mmengine - INFO - Epoch(train) [12][4100/4238] lr: 1.4067e-04 eta: 20:57:03 time: 0.9894 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9583 loss: 1.9583 2022/09/23 12:17:44 - mmengine - INFO - Epoch(train) [12][4200/4238] lr: 1.4067e-04 eta: 20:55:24 time: 0.9847 data_time: 0.0172 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8438 loss: 1.8438 2022/09/23 12:18:21 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 12:18:21 - mmengine - INFO - Epoch(train) [12][4238/4238] lr: 1.4067e-04 eta: 20:55:05 time: 0.9774 data_time: 0.0192 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5770 loss: 1.5770 2022/09/23 12:18:21 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/09/23 12:19:15 - mmengine - INFO - Epoch(val) [12][100/273] eta: 0:01:09 time: 0.3989 data_time: 0.0093 memory: 14236 2022/09/23 12:19:55 - mmengine - INFO - Epoch(val) [12][200/273] eta: 0:00:29 time: 0.3987 data_time: 0.0090 memory: 14236 2022/09/23 12:20:28 - mmengine - INFO - Epoch(val) [12][273/273] acc/top1: 0.6154 acc/top5: 0.8323 acc/mean1: 0.6152 2022/09/23 12:20:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/mmaction2/work_dirs/swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb/best_acc/top1_epoch_9.pth is removed 2022/09/23 12:20:31 - mmengine - INFO - The best checkpoint with 0.6154 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/09/23 12:22:11 - mmengine - INFO - Epoch(train) [13][100/4238] lr: 1.3090e-04 eta: 20:52:43 time: 0.9919 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7797 loss: 1.7797 2022/09/23 12:22:54 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 12:23:49 - mmengine - INFO - Epoch(train) [13][200/4238] lr: 1.3090e-04 eta: 20:51:05 time: 0.9879 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5291 loss: 1.5291 2022/09/23 12:25:28 - mmengine - INFO - Epoch(train) [13][300/4238] lr: 1.3090e-04 eta: 20:49:26 time: 0.9895 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9038 loss: 1.9038 2022/09/23 12:27:07 - mmengine - INFO - Epoch(train) [13][400/4238] lr: 1.3090e-04 eta: 20:47:48 time: 0.9861 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7280 loss: 1.7280 2022/09/23 12:28:46 - mmengine - INFO - Epoch(train) [13][500/4238] lr: 1.3090e-04 eta: 20:46:10 time: 0.9999 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8838 loss: 1.8838 2022/09/23 12:30:25 - mmengine - INFO - Epoch(train) [13][600/4238] lr: 1.3090e-04 eta: 20:44:31 time: 0.9910 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5872 loss: 1.5872 2022/09/23 12:32:04 - mmengine - INFO - Epoch(train) [13][700/4238] lr: 1.3090e-04 eta: 20:42:52 time: 0.9805 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9934 loss: 1.9934 2022/09/23 12:33:42 - mmengine - INFO - Epoch(train) [13][800/4238] lr: 1.3090e-04 eta: 20:41:14 time: 0.9872 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7862 loss: 1.7862 2022/09/23 12:35:21 - mmengine - INFO - Epoch(train) [13][900/4238] lr: 1.3090e-04 eta: 20:39:36 time: 0.9961 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9237 loss: 1.9237 2022/09/23 12:37:00 - mmengine - INFO - Epoch(train) [13][1000/4238] lr: 1.3090e-04 eta: 20:37:57 time: 0.9864 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8767 loss: 1.8767 2022/09/23 12:38:39 - mmengine - INFO - Epoch(train) [13][1100/4238] lr: 1.3090e-04 eta: 20:36:19 time: 0.9834 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4684 loss: 1.4684 2022/09/23 12:39:22 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 12:40:18 - mmengine - INFO - Epoch(train) [13][1200/4238] lr: 1.3090e-04 eta: 20:34:40 time: 0.9813 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5855 loss: 1.5855 2022/09/23 12:41:56 - mmengine - INFO - Epoch(train) [13][1300/4238] lr: 1.3090e-04 eta: 20:33:01 time: 0.9834 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5431 loss: 1.5431 2022/09/23 12:43:36 - mmengine - INFO - Epoch(train) [13][1400/4238] lr: 1.3090e-04 eta: 20:31:23 time: 0.9822 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6639 loss: 1.6639 2022/09/23 12:45:15 - mmengine - INFO - Epoch(train) [13][1500/4238] lr: 1.3090e-04 eta: 20:29:45 time: 0.9998 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1211 loss: 2.1211 2022/09/23 12:46:54 - mmengine - INFO - Epoch(train) [13][1600/4238] lr: 1.3090e-04 eta: 20:28:07 time: 0.9867 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7987 loss: 1.7987 2022/09/23 12:48:33 - mmengine - INFO - Epoch(train) [13][1700/4238] lr: 1.3090e-04 eta: 20:26:29 time: 0.9966 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7547 loss: 1.7547 2022/09/23 12:50:12 - mmengine - INFO - Epoch(train) [13][1800/4238] lr: 1.3090e-04 eta: 20:24:51 time: 0.9844 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6377 loss: 1.6377 2022/09/23 12:51:51 - mmengine - INFO - Epoch(train) [13][1900/4238] lr: 1.3090e-04 eta: 20:23:13 time: 0.9817 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0067 loss: 2.0067 2022/09/23 12:53:29 - mmengine - INFO - Epoch(train) [13][2000/4238] lr: 1.3090e-04 eta: 20:21:34 time: 0.9855 data_time: 0.0158 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7113 loss: 1.7113 2022/09/23 12:55:08 - mmengine - INFO - Epoch(train) [13][2100/4238] lr: 1.3090e-04 eta: 20:19:56 time: 0.9882 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7248 loss: 1.7248 2022/09/23 12:55:52 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 12:56:47 - mmengine - INFO - Epoch(train) [13][2200/4238] lr: 1.3090e-04 eta: 20:18:17 time: 0.9824 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7435 loss: 1.7435 2022/09/23 12:58:25 - mmengine - INFO - Epoch(train) [13][2300/4238] lr: 1.3090e-04 eta: 20:16:38 time: 0.9817 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8863 loss: 1.8863 2022/09/23 13:00:04 - mmengine - INFO - Epoch(train) [13][2400/4238] lr: 1.3090e-04 eta: 20:14:59 time: 0.9870 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7518 loss: 1.7518 2022/09/23 13:01:43 - mmengine - INFO - Epoch(train) [13][2500/4238] lr: 1.3090e-04 eta: 20:13:20 time: 0.9828 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7509 loss: 1.7509 2022/09/23 13:03:21 - mmengine - INFO - Epoch(train) [13][2600/4238] lr: 1.3090e-04 eta: 20:11:41 time: 0.9802 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7965 loss: 1.7965 2022/09/23 13:05:00 - mmengine - INFO - Epoch(train) [13][2700/4238] lr: 1.3090e-04 eta: 20:10:03 time: 0.9900 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8171 loss: 1.8171 2022/09/23 13:06:38 - mmengine - INFO - Epoch(train) [13][2800/4238] lr: 1.3090e-04 eta: 20:08:23 time: 0.9787 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6594 loss: 1.6594 2022/09/23 13:08:17 - mmengine - INFO - Epoch(train) [13][2900/4238] lr: 1.3090e-04 eta: 20:06:45 time: 0.9871 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8044 loss: 1.8044 2022/09/23 13:09:55 - mmengine - INFO - Epoch(train) [13][3000/4238] lr: 1.3090e-04 eta: 20:05:06 time: 0.9868 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5369 loss: 1.5369 2022/09/23 13:11:34 - mmengine - INFO - Epoch(train) [13][3100/4238] lr: 1.3090e-04 eta: 20:03:27 time: 0.9941 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6949 loss: 1.6949 2022/09/23 13:12:17 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 13:13:13 - mmengine - INFO - Epoch(train) [13][3200/4238] lr: 1.3090e-04 eta: 20:01:49 time: 0.9920 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9352 loss: 1.9352 2022/09/23 13:14:52 - mmengine - INFO - Epoch(train) [13][3300/4238] lr: 1.3090e-04 eta: 20:00:10 time: 0.9908 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8602 loss: 1.8602 2022/09/23 13:16:30 - mmengine - INFO - Epoch(train) [13][3400/4238] lr: 1.3090e-04 eta: 19:58:31 time: 0.9784 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9838 loss: 1.9838 2022/09/23 13:18:09 - mmengine - INFO - Epoch(train) [13][3500/4238] lr: 1.3090e-04 eta: 19:56:53 time: 0.9809 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8519 loss: 1.8519 2022/09/23 13:19:48 - mmengine - INFO - Epoch(train) [13][3600/4238] lr: 1.3090e-04 eta: 19:55:14 time: 0.9979 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9511 loss: 1.9511 2022/09/23 13:21:27 - mmengine - INFO - Epoch(train) [13][3700/4238] lr: 1.3090e-04 eta: 19:53:36 time: 0.9949 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9080 loss: 1.9080 2022/09/23 13:23:05 - mmengine - INFO - Epoch(train) [13][3800/4238] lr: 1.3090e-04 eta: 19:51:58 time: 0.9911 data_time: 0.0178 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0088 loss: 2.0088 2022/09/23 13:24:44 - mmengine - INFO - Epoch(train) [13][3900/4238] lr: 1.3090e-04 eta: 19:50:19 time: 0.9878 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8834 loss: 1.8834 2022/09/23 13:26:23 - mmengine - INFO - Epoch(train) [13][4000/4238] lr: 1.3090e-04 eta: 19:48:40 time: 0.9830 data_time: 0.0163 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9438 loss: 1.9438 2022/09/23 13:28:02 - mmengine - INFO - Epoch(train) [13][4100/4238] lr: 1.3090e-04 eta: 19:47:02 time: 0.9944 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7597 loss: 1.7597 2022/09/23 13:28:45 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 13:29:41 - mmengine - INFO - Epoch(train) [13][4200/4238] lr: 1.3090e-04 eta: 19:45:24 time: 0.9953 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9845 loss: 1.9845 2022/09/23 13:30:18 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 13:30:18 - mmengine - INFO - Epoch(train) [13][4238/4238] lr: 1.3090e-04 eta: 19:45:04 time: 0.9521 data_time: 0.0180 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8635 loss: 1.8635 2022/09/23 13:31:58 - mmengine - INFO - Epoch(train) [14][100/4238] lr: 1.2079e-04 eta: 19:42:47 time: 0.9838 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7638 loss: 1.7638 2022/09/23 13:33:37 - mmengine - INFO - Epoch(train) [14][200/4238] lr: 1.2079e-04 eta: 19:41:09 time: 0.9806 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9468 loss: 1.9468 2022/09/23 13:35:16 - mmengine - INFO - Epoch(train) [14][300/4238] lr: 1.2079e-04 eta: 19:39:31 time: 0.9875 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5563 loss: 1.5563 2022/09/23 13:36:55 - mmengine - INFO - Epoch(train) [14][400/4238] lr: 1.2079e-04 eta: 19:37:52 time: 0.9944 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8054 loss: 1.8054 2022/09/23 13:38:35 - mmengine - INFO - Epoch(train) [14][500/4238] lr: 1.2079e-04 eta: 19:36:15 time: 0.9826 data_time: 0.0163 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6118 loss: 1.6118 2022/09/23 13:40:13 - mmengine - INFO - Epoch(train) [14][600/4238] lr: 1.2079e-04 eta: 19:34:36 time: 0.9812 data_time: 0.0164 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5935 loss: 1.5935 2022/09/23 13:41:52 - mmengine - INFO - Epoch(train) [14][700/4238] lr: 1.2079e-04 eta: 19:32:58 time: 0.9865 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9055 loss: 1.9055 2022/09/23 13:43:31 - mmengine - INFO - Epoch(train) [14][800/4238] lr: 1.2079e-04 eta: 19:31:19 time: 0.9957 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5715 loss: 1.5715 2022/09/23 13:45:10 - mmengine - INFO - Epoch(train) [14][900/4238] lr: 1.2079e-04 eta: 19:29:40 time: 0.9852 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4100 loss: 1.4100 2022/09/23 13:45:15 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 13:46:48 - mmengine - INFO - Epoch(train) [14][1000/4238] lr: 1.2079e-04 eta: 19:28:01 time: 0.9809 data_time: 0.0173 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6855 loss: 1.6855 2022/09/23 13:48:27 - mmengine - INFO - Epoch(train) [14][1100/4238] lr: 1.2079e-04 eta: 19:26:23 time: 0.9799 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0389 loss: 2.0389 2022/09/23 13:50:06 - mmengine - INFO - Epoch(train) [14][1200/4238] lr: 1.2079e-04 eta: 19:24:45 time: 0.9926 data_time: 0.0171 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6277 loss: 1.6277 2022/09/23 13:51:45 - mmengine - INFO - Epoch(train) [14][1300/4238] lr: 1.2079e-04 eta: 19:23:06 time: 0.9838 data_time: 0.0166 memory: 68898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.7039 loss: 1.7039 2022/09/23 13:53:23 - mmengine - INFO - Epoch(train) [14][1400/4238] lr: 1.2079e-04 eta: 19:21:27 time: 0.9810 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8507 loss: 1.8507 2022/09/23 13:55:01 - mmengine - INFO - Epoch(train) [14][1500/4238] lr: 1.2079e-04 eta: 19:19:48 time: 0.9891 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0822 loss: 2.0822 2022/09/23 13:56:40 - mmengine - INFO - Epoch(train) [14][1600/4238] lr: 1.2079e-04 eta: 19:18:09 time: 0.9792 data_time: 0.0174 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8033 loss: 1.8033 2022/09/23 13:58:18 - mmengine - INFO - Epoch(train) [14][1700/4238] lr: 1.2079e-04 eta: 19:16:30 time: 0.9872 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6926 loss: 1.6926 2022/09/23 13:59:57 - mmengine - INFO - Epoch(train) [14][1800/4238] lr: 1.2079e-04 eta: 19:14:52 time: 0.9825 data_time: 0.0164 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6753 loss: 1.6753 2022/09/23 14:01:35 - mmengine - INFO - Epoch(train) [14][1900/4238] lr: 1.2079e-04 eta: 19:13:13 time: 0.9800 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7233 loss: 1.7233 2022/09/23 14:01:41 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 14:03:14 - mmengine - INFO - Epoch(train) [14][2000/4238] lr: 1.2079e-04 eta: 19:11:34 time: 0.9916 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7228 loss: 1.7228 2022/09/23 14:04:52 - mmengine - INFO - Epoch(train) [14][2100/4238] lr: 1.2079e-04 eta: 19:09:55 time: 0.9802 data_time: 0.0185 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6607 loss: 1.6607 2022/09/23 14:06:31 - mmengine - INFO - Epoch(train) [14][2200/4238] lr: 1.2079e-04 eta: 19:08:17 time: 0.9959 data_time: 0.0181 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6507 loss: 1.6507 2022/09/23 14:08:11 - mmengine - INFO - Epoch(train) [14][2300/4238] lr: 1.2079e-04 eta: 19:06:39 time: 0.9961 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5456 loss: 1.5456 2022/09/23 14:09:50 - mmengine - INFO - Epoch(train) [14][2400/4238] lr: 1.2079e-04 eta: 19:05:01 time: 0.9900 data_time: 0.0164 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9495 loss: 1.9495 2022/09/23 14:11:29 - mmengine - INFO - Epoch(train) [14][2500/4238] lr: 1.2079e-04 eta: 19:03:23 time: 0.9964 data_time: 0.0169 memory: 68898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8491 loss: 1.8491 2022/09/23 14:13:07 - mmengine - INFO - Epoch(train) [14][2600/4238] lr: 1.2079e-04 eta: 19:01:44 time: 0.9794 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5694 loss: 1.5694 2022/09/23 14:14:46 - mmengine - INFO - Epoch(train) [14][2700/4238] lr: 1.2079e-04 eta: 19:00:05 time: 0.9835 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4345 loss: 1.4345 2022/09/23 14:16:25 - mmengine - INFO - Epoch(train) [14][2800/4238] lr: 1.2079e-04 eta: 18:58:27 time: 0.9807 data_time: 0.0171 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0086 loss: 2.0086 2022/09/23 14:18:03 - mmengine - INFO - Epoch(train) [14][2900/4238] lr: 1.2079e-04 eta: 18:56:48 time: 0.9861 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6533 loss: 1.6533 2022/09/23 14:18:10 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 14:19:42 - mmengine - INFO - Epoch(train) [14][3000/4238] lr: 1.2079e-04 eta: 18:55:10 time: 0.9803 data_time: 0.0163 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5223 loss: 1.5223 2022/09/23 14:21:21 - mmengine - INFO - Epoch(train) [14][3100/4238] lr: 1.2079e-04 eta: 18:53:31 time: 0.9819 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6318 loss: 1.6318 2022/09/23 14:22:59 - mmengine - INFO - Epoch(train) [14][3200/4238] lr: 1.2079e-04 eta: 18:51:52 time: 0.9877 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5037 loss: 1.5037 2022/09/23 14:24:38 - mmengine - INFO - Epoch(train) [14][3300/4238] lr: 1.2079e-04 eta: 18:50:13 time: 0.9980 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7500 loss: 1.7500 2022/09/23 14:26:17 - mmengine - INFO - Epoch(train) [14][3400/4238] lr: 1.2079e-04 eta: 18:48:35 time: 0.9861 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4875 loss: 1.4875 2022/09/23 14:27:56 - mmengine - INFO - Epoch(train) [14][3500/4238] lr: 1.2079e-04 eta: 18:46:56 time: 0.9834 data_time: 0.0172 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8152 loss: 1.8152 2022/09/23 14:29:34 - mmengine - INFO - Epoch(train) [14][3600/4238] lr: 1.2079e-04 eta: 18:45:18 time: 0.9889 data_time: 0.0179 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5247 loss: 1.5247 2022/09/23 14:31:14 - mmengine - INFO - Epoch(train) [14][3700/4238] lr: 1.2079e-04 eta: 18:43:40 time: 0.9996 data_time: 0.0174 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4760 loss: 1.4760 2022/09/23 14:32:52 - mmengine - INFO - Epoch(train) [14][3800/4238] lr: 1.2079e-04 eta: 18:42:01 time: 0.9807 data_time: 0.0175 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7164 loss: 1.7164 2022/09/23 14:34:32 - mmengine - INFO - Epoch(train) [14][3900/4238] lr: 1.2079e-04 eta: 18:40:23 time: 1.0087 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9478 loss: 1.9478 2022/09/23 14:34:37 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 14:36:10 - mmengine - INFO - Epoch(train) [14][4000/4238] lr: 1.2079e-04 eta: 18:38:45 time: 0.9898 data_time: 0.0163 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7117 loss: 1.7117 2022/09/23 14:37:49 - mmengine - INFO - Epoch(train) [14][4100/4238] lr: 1.2079e-04 eta: 18:37:06 time: 0.9841 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8028 loss: 1.8028 2022/09/23 14:39:28 - mmengine - INFO - Epoch(train) [14][4200/4238] lr: 1.2079e-04 eta: 18:35:28 time: 0.9874 data_time: 0.0176 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0297 loss: 2.0297 2022/09/23 14:40:04 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 14:40:04 - mmengine - INFO - Epoch(train) [14][4238/4238] lr: 1.2079e-04 eta: 18:35:08 time: 0.9493 data_time: 0.0179 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8105 loss: 1.8105 2022/09/23 14:41:45 - mmengine - INFO - Epoch(train) [15][100/4238] lr: 1.1045e-04 eta: 18:32:53 time: 0.9829 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7369 loss: 1.7369 2022/09/23 14:43:24 - mmengine - INFO - Epoch(train) [15][200/4238] lr: 1.1045e-04 eta: 18:31:15 time: 0.9814 data_time: 0.0163 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7678 loss: 1.7678 2022/09/23 14:45:02 - mmengine - INFO - Epoch(train) [15][300/4238] lr: 1.1045e-04 eta: 18:29:36 time: 0.9955 data_time: 0.0172 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9421 loss: 1.9421 2022/09/23 14:46:41 - mmengine - INFO - Epoch(train) [15][400/4238] lr: 1.1045e-04 eta: 18:27:58 time: 0.9906 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5709 loss: 1.5709 2022/09/23 14:48:20 - mmengine - INFO - Epoch(train) [15][500/4238] lr: 1.1045e-04 eta: 18:26:19 time: 0.9782 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7915 loss: 1.7915 2022/09/23 14:49:58 - mmengine - INFO - Epoch(train) [15][600/4238] lr: 1.1045e-04 eta: 18:24:40 time: 0.9898 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4623 loss: 1.4623 2022/09/23 14:51:05 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 14:51:37 - mmengine - INFO - Epoch(train) [15][700/4238] lr: 1.1045e-04 eta: 18:23:01 time: 0.9800 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4946 loss: 1.4946 2022/09/23 14:53:15 - mmengine - INFO - Epoch(train) [15][800/4238] lr: 1.1045e-04 eta: 18:21:22 time: 0.9871 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6704 loss: 1.6704 2022/09/23 14:54:54 - mmengine - INFO - Epoch(train) [15][900/4238] lr: 1.1045e-04 eta: 18:19:44 time: 0.9859 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4467 loss: 1.4467 2022/09/23 14:56:33 - mmengine - INFO - Epoch(train) [15][1000/4238] lr: 1.1045e-04 eta: 18:18:06 time: 0.9960 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7667 loss: 1.7667 2022/09/23 14:58:11 - mmengine - INFO - Epoch(train) [15][1100/4238] lr: 1.1045e-04 eta: 18:16:27 time: 0.9810 data_time: 0.0163 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7090 loss: 1.7090 2022/09/23 14:59:50 - mmengine - INFO - Epoch(train) [15][1200/4238] lr: 1.1045e-04 eta: 18:14:48 time: 0.9828 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0332 loss: 2.0332 2022/09/23 15:01:28 - mmengine - INFO - Epoch(train) [15][1300/4238] lr: 1.1045e-04 eta: 18:13:09 time: 0.9841 data_time: 0.0177 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8144 loss: 1.8144 2022/09/23 15:03:07 - mmengine - INFO - Epoch(train) [15][1400/4238] lr: 1.1045e-04 eta: 18:11:31 time: 0.9805 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8123 loss: 1.8123 2022/09/23 15:04:45 - mmengine - INFO - Epoch(train) [15][1500/4238] lr: 1.1045e-04 eta: 18:09:52 time: 0.9820 data_time: 0.0164 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7175 loss: 1.7175 2022/09/23 15:06:24 - mmengine - INFO - Epoch(train) [15][1600/4238] lr: 1.1045e-04 eta: 18:08:13 time: 0.9828 data_time: 0.0168 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6356 loss: 1.6356 2022/09/23 15:07:31 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 15:08:03 - mmengine - INFO - Epoch(train) [15][1700/4238] lr: 1.1045e-04 eta: 18:06:35 time: 0.9890 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5668 loss: 1.5668 2022/09/23 15:09:41 - mmengine - INFO - Epoch(train) [15][1800/4238] lr: 1.1045e-04 eta: 18:04:56 time: 0.9937 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4617 loss: 1.4617 2022/09/23 15:11:20 - mmengine - INFO - Epoch(train) [15][1900/4238] lr: 1.1045e-04 eta: 18:03:18 time: 0.9933 data_time: 0.0172 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4378 loss: 1.4378 2022/09/23 15:13:00 - mmengine - INFO - Epoch(train) [15][2000/4238] lr: 1.1045e-04 eta: 18:01:40 time: 0.9985 data_time: 0.0167 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7876 loss: 1.7876 2022/09/23 15:14:39 - mmengine - INFO - Epoch(train) [15][2100/4238] lr: 1.1045e-04 eta: 18:00:02 time: 0.9969 data_time: 0.0166 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6755 loss: 1.6755 2022/09/23 15:16:17 - mmengine - INFO - Epoch(train) [15][2200/4238] lr: 1.1045e-04 eta: 17:58:23 time: 0.9806 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4762 loss: 1.4762 2022/09/23 15:17:56 - mmengine - INFO - Epoch(train) [15][2300/4238] lr: 1.1045e-04 eta: 17:56:45 time: 0.9885 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5338 loss: 1.5338 2022/09/23 15:19:35 - mmengine - INFO - Epoch(train) [15][2400/4238] lr: 1.1045e-04 eta: 17:55:06 time: 0.9845 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8050 loss: 1.8050 2022/09/23 15:21:13 - mmengine - INFO - Epoch(train) [15][2500/4238] lr: 1.1045e-04 eta: 17:53:28 time: 0.9967 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7387 loss: 1.7387 2022/09/23 15:22:52 - mmengine - INFO - Epoch(train) [15][2600/4238] lr: 1.1045e-04 eta: 17:51:49 time: 0.9925 data_time: 0.0163 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6128 loss: 1.6128 2022/09/23 15:23:59 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 15:24:30 - mmengine - INFO - Epoch(train) [15][2700/4238] lr: 1.1045e-04 eta: 17:50:10 time: 0.9799 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0578 loss: 2.0578 2022/09/23 15:26:09 - mmengine - INFO - Epoch(train) [15][2800/4238] lr: 1.1045e-04 eta: 17:48:32 time: 0.9828 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6079 loss: 1.6079 2022/09/23 15:27:48 - mmengine - INFO - Epoch(train) [15][2900/4238] lr: 1.1045e-04 eta: 17:46:53 time: 0.9826 data_time: 0.0161 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5836 loss: 1.5836 2022/09/23 15:29:27 - mmengine - INFO - Epoch(train) [15][3000/4238] lr: 1.1045e-04 eta: 17:45:15 time: 0.9906 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0599 loss: 2.0599 2022/09/23 15:31:05 - mmengine - INFO - Epoch(train) [15][3100/4238] lr: 1.1045e-04 eta: 17:43:36 time: 0.9915 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7989 loss: 1.7989 2022/09/23 15:32:44 - mmengine - INFO - Epoch(train) [15][3200/4238] lr: 1.1045e-04 eta: 17:41:57 time: 0.9809 data_time: 0.0175 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9575 loss: 1.9575 2022/09/23 15:34:22 - mmengine - INFO - Epoch(train) [15][3300/4238] lr: 1.1045e-04 eta: 17:40:18 time: 0.9817 data_time: 0.0184 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6334 loss: 1.6334 2022/09/23 15:36:00 - mmengine - INFO - Epoch(train) [15][3400/4238] lr: 1.1045e-04 eta: 17:38:39 time: 0.9883 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4663 loss: 1.4663 2022/09/23 15:37:39 - mmengine - INFO - Epoch(train) [15][3500/4238] lr: 1.1045e-04 eta: 17:37:00 time: 0.9816 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7798 loss: 1.7798 2022/09/23 15:39:17 - mmengine - INFO - Epoch(train) [15][3600/4238] lr: 1.1045e-04 eta: 17:35:21 time: 0.9870 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6726 loss: 1.6726 2022/09/23 15:40:24 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 15:40:56 - mmengine - INFO - Epoch(train) [15][3700/4238] lr: 1.1045e-04 eta: 17:33:43 time: 0.9826 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5868 loss: 1.5868 2022/09/23 15:42:34 - mmengine - INFO - Epoch(train) [15][3800/4238] lr: 1.1045e-04 eta: 17:32:04 time: 0.9866 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5679 loss: 1.5679 2022/09/23 15:44:13 - mmengine - INFO - Epoch(train) [15][3900/4238] lr: 1.1045e-04 eta: 17:30:26 time: 0.9823 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7289 loss: 1.7289 2022/09/23 15:45:52 - mmengine - INFO - Epoch(train) [15][4000/4238] lr: 1.1045e-04 eta: 17:28:47 time: 0.9861 data_time: 0.0174 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7126 loss: 1.7126 2022/09/23 15:47:30 - mmengine - INFO - Epoch(train) [15][4100/4238] lr: 1.1045e-04 eta: 17:27:08 time: 0.9812 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5773 loss: 1.5773 2022/09/23 15:49:09 - mmengine - INFO - Epoch(train) [15][4200/4238] lr: 1.1045e-04 eta: 17:25:30 time: 0.9823 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5156 loss: 1.5156 2022/09/23 15:49:47 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 15:49:47 - mmengine - INFO - Epoch(train) [15][4238/4238] lr: 1.1045e-04 eta: 17:25:10 time: 0.9781 data_time: 0.0182 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6795 loss: 1.6795 2022/09/23 15:49:47 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/09/23 15:50:39 - mmengine - INFO - Epoch(val) [15][100/273] eta: 0:01:09 time: 0.3990 data_time: 0.0092 memory: 14236 2022/09/23 15:51:19 - mmengine - INFO - Epoch(val) [15][200/273] eta: 0:00:29 time: 0.4000 data_time: 0.0097 memory: 14236 2022/09/23 15:51:51 - mmengine - INFO - Epoch(val) [15][273/273] acc/top1: 0.6381 acc/top5: 0.8465 acc/mean1: 0.6380 2022/09/23 15:51:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/mmaction2/work_dirs/swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb/best_acc/top1_epoch_12.pth is removed 2022/09/23 15:51:54 - mmengine - INFO - The best checkpoint with 0.6381 acc/top1 at 15 epoch is saved to best_acc/top1_epoch_15.pth. 2022/09/23 15:53:34 - mmengine - INFO - Epoch(train) [16][100/4238] lr: 1.0000e-04 eta: 17:22:57 time: 0.9822 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9173 loss: 1.9173 2022/09/23 15:55:12 - mmengine - INFO - Epoch(train) [16][200/4238] lr: 1.0000e-04 eta: 17:21:18 time: 0.9857 data_time: 0.0174 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3956 loss: 1.3956 2022/09/23 15:56:51 - mmengine - INFO - Epoch(train) [16][300/4238] lr: 1.0000e-04 eta: 17:19:40 time: 0.9926 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4931 loss: 1.4931 2022/09/23 15:58:29 - mmengine - INFO - Epoch(train) [16][400/4238] lr: 1.0000e-04 eta: 17:18:01 time: 0.9905 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7663 loss: 1.7663 2022/09/23 15:58:59 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 16:00:09 - mmengine - INFO - Epoch(train) [16][500/4238] lr: 1.0000e-04 eta: 17:16:23 time: 0.9852 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3428 loss: 1.3428 2022/09/23 16:01:47 - mmengine - INFO - Epoch(train) [16][600/4238] lr: 1.0000e-04 eta: 17:14:45 time: 0.9869 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3871 loss: 1.3871 2022/09/23 16:03:26 - mmengine - INFO - Epoch(train) [16][700/4238] lr: 1.0000e-04 eta: 17:13:06 time: 0.9847 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6090 loss: 1.6090 2022/09/23 16:05:04 - mmengine - INFO - Epoch(train) [16][800/4238] lr: 1.0000e-04 eta: 17:11:27 time: 0.9808 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6383 loss: 1.6383 2022/09/23 16:06:43 - mmengine - INFO - Epoch(train) [16][900/4238] lr: 1.0000e-04 eta: 17:09:48 time: 0.9940 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8940 loss: 1.8940 2022/09/23 16:08:21 - mmengine - INFO - Epoch(train) [16][1000/4238] lr: 1.0000e-04 eta: 17:08:09 time: 0.9820 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8407 loss: 1.8407 2022/09/23 16:10:00 - mmengine - INFO - Epoch(train) [16][1100/4238] lr: 1.0000e-04 eta: 17:06:31 time: 0.9815 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7657 loss: 1.7657 2022/09/23 16:11:38 - mmengine - INFO - Epoch(train) [16][1200/4238] lr: 1.0000e-04 eta: 17:04:52 time: 0.9810 data_time: 0.0164 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4848 loss: 1.4848 2022/09/23 16:13:17 - mmengine - INFO - Epoch(train) [16][1300/4238] lr: 1.0000e-04 eta: 17:03:14 time: 0.9831 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6903 loss: 1.6903 2022/09/23 16:14:55 - mmengine - INFO - Epoch(train) [16][1400/4238] lr: 1.0000e-04 eta: 17:01:35 time: 0.9834 data_time: 0.0165 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1998 loss: 1.1998 2022/09/23 16:15:25 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 16:16:34 - mmengine - INFO - Epoch(train) [16][1500/4238] lr: 1.0000e-04 eta: 16:59:56 time: 0.9911 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5413 loss: 1.5413 2022/09/23 16:18:12 - mmengine - INFO - Epoch(train) [16][1600/4238] lr: 1.0000e-04 eta: 16:58:17 time: 0.9816 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8978 loss: 1.8978 2022/09/23 16:19:50 - mmengine - INFO - Epoch(train) [16][1700/4238] lr: 1.0000e-04 eta: 16:56:38 time: 0.9850 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6570 loss: 1.6570 2022/09/23 16:21:29 - mmengine - INFO - Epoch(train) [16][1800/4238] lr: 1.0000e-04 eta: 16:55:00 time: 0.9910 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6213 loss: 1.6213 2022/09/23 16:23:07 - mmengine - INFO - Epoch(train) [16][1900/4238] lr: 1.0000e-04 eta: 16:53:21 time: 0.9910 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6680 loss: 1.6680 2022/09/23 16:24:46 - mmengine - INFO - Epoch(train) [16][2000/4238] lr: 1.0000e-04 eta: 16:51:42 time: 0.9785 data_time: 0.0173 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6816 loss: 1.6816 2022/09/23 16:26:24 - mmengine - INFO - Epoch(train) [16][2100/4238] lr: 1.0000e-04 eta: 16:50:03 time: 0.9811 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5253 loss: 1.5253 2022/09/23 16:28:03 - mmengine - INFO - Epoch(train) [16][2200/4238] lr: 1.0000e-04 eta: 16:48:25 time: 0.9882 data_time: 0.0192 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5037 loss: 1.5037 2022/09/23 16:29:41 - mmengine - INFO - Epoch(train) [16][2300/4238] lr: 1.0000e-04 eta: 16:46:46 time: 0.9826 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6292 loss: 1.6292 2022/09/23 16:31:20 - mmengine - INFO - Epoch(train) [16][2400/4238] lr: 1.0000e-04 eta: 16:45:07 time: 0.9809 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6638 loss: 1.6638 2022/09/23 16:31:49 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 16:32:58 - mmengine - INFO - Epoch(train) [16][2500/4238] lr: 1.0000e-04 eta: 16:43:29 time: 0.9838 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7050 loss: 1.7050 2022/09/23 16:34:40 - mmengine - INFO - Epoch(train) [16][2600/4238] lr: 1.0000e-04 eta: 16:41:53 time: 1.0047 data_time: 0.0206 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7241 loss: 1.7241 2022/09/23 16:36:19 - mmengine - INFO - Epoch(train) [16][2700/4238] lr: 1.0000e-04 eta: 16:40:14 time: 0.9870 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6890 loss: 1.6890 2022/09/23 16:37:57 - mmengine - INFO - Epoch(train) [16][2800/4238] lr: 1.0000e-04 eta: 16:38:36 time: 0.9818 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6201 loss: 1.6201 2022/09/23 16:39:36 - mmengine - INFO - Epoch(train) [16][2900/4238] lr: 1.0000e-04 eta: 16:36:57 time: 0.9800 data_time: 0.0166 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6360 loss: 1.6360 2022/09/23 16:41:14 - mmengine - INFO - Epoch(train) [16][3000/4238] lr: 1.0000e-04 eta: 16:35:18 time: 0.9856 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5662 loss: 1.5662 2022/09/23 16:42:53 - mmengine - INFO - Epoch(train) [16][3100/4238] lr: 1.0000e-04 eta: 16:33:39 time: 0.9773 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9420 loss: 1.9420 2022/09/23 16:44:31 - mmengine - INFO - Epoch(train) [16][3200/4238] lr: 1.0000e-04 eta: 16:32:01 time: 0.9779 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6821 loss: 1.6821 2022/09/23 16:46:09 - mmengine - INFO - Epoch(train) [16][3300/4238] lr: 1.0000e-04 eta: 16:30:22 time: 0.9796 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6369 loss: 1.6369 2022/09/23 16:47:47 - mmengine - INFO - Epoch(train) [16][3400/4238] lr: 1.0000e-04 eta: 16:28:43 time: 0.9847 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0360 loss: 2.0360 2022/09/23 16:48:17 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 16:49:26 - mmengine - INFO - Epoch(train) [16][3500/4238] lr: 1.0000e-04 eta: 16:27:04 time: 0.9873 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6767 loss: 1.6767 2022/09/23 16:51:04 - mmengine - INFO - Epoch(train) [16][3600/4238] lr: 1.0000e-04 eta: 16:25:25 time: 0.9875 data_time: 0.0170 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4634 loss: 1.4634 2022/09/23 16:52:43 - mmengine - INFO - Epoch(train) [16][3700/4238] lr: 1.0000e-04 eta: 16:23:47 time: 0.9820 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6294 loss: 1.6294 2022/09/23 16:54:21 - mmengine - INFO - Epoch(train) [16][3800/4238] lr: 1.0000e-04 eta: 16:22:08 time: 0.9917 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8042 loss: 1.8042 2022/09/23 16:56:00 - mmengine - INFO - Epoch(train) [16][3900/4238] lr: 1.0000e-04 eta: 16:20:29 time: 0.9796 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6569 loss: 1.6569 2022/09/23 16:57:38 - mmengine - INFO - Epoch(train) [16][4000/4238] lr: 1.0000e-04 eta: 16:18:51 time: 0.9933 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7982 loss: 1.7982 2022/09/23 16:59:17 - mmengine - INFO - Epoch(train) [16][4100/4238] lr: 1.0000e-04 eta: 16:17:12 time: 0.9838 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8074 loss: 1.8074 2022/09/23 17:00:55 - mmengine - INFO - Epoch(train) [16][4200/4238] lr: 1.0000e-04 eta: 16:15:33 time: 0.9781 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4337 loss: 1.4337 2022/09/23 17:01:32 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 17:01:32 - mmengine - INFO - Epoch(train) [16][4238/4238] lr: 1.0000e-04 eta: 16:15:14 time: 0.9587 data_time: 0.0167 memory: 68898 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.0977 loss: 2.0977 2022/09/23 17:03:13 - mmengine - INFO - Epoch(train) [17][100/4238] lr: 8.9547e-05 eta: 16:13:04 time: 0.9819 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7280 loss: 1.7280 2022/09/23 17:04:44 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 17:04:52 - mmengine - INFO - Epoch(train) [17][200/4238] lr: 8.9547e-05 eta: 16:11:25 time: 0.9914 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3441 loss: 1.3441 2022/09/23 17:06:31 - mmengine - INFO - Epoch(train) [17][300/4238] lr: 8.9547e-05 eta: 16:09:47 time: 0.9856 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8373 loss: 1.8373 2022/09/23 17:08:09 - mmengine - INFO - Epoch(train) [17][400/4238] lr: 8.9547e-05 eta: 16:08:08 time: 0.9794 data_time: 0.0165 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5694 loss: 1.5694 2022/09/23 17:09:48 - mmengine - INFO - Epoch(train) [17][500/4238] lr: 8.9547e-05 eta: 16:06:29 time: 0.9910 data_time: 0.0163 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7888 loss: 1.7888 2022/09/23 17:11:26 - mmengine - INFO - Epoch(train) [17][600/4238] lr: 8.9547e-05 eta: 16:04:51 time: 0.9848 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2193 loss: 1.2193 2022/09/23 17:13:04 - mmengine - INFO - Epoch(train) [17][700/4238] lr: 8.9547e-05 eta: 16:03:12 time: 0.9807 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6237 loss: 1.6237 2022/09/23 17:14:43 - mmengine - INFO - Epoch(train) [17][800/4238] lr: 8.9547e-05 eta: 16:01:33 time: 0.9814 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8422 loss: 1.8422 2022/09/23 17:16:21 - mmengine - INFO - Epoch(train) [17][900/4238] lr: 8.9547e-05 eta: 15:59:54 time: 0.9838 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0756 loss: 1.0756 2022/09/23 17:18:00 - mmengine - INFO - Epoch(train) [17][1000/4238] lr: 8.9547e-05 eta: 15:58:16 time: 0.9798 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9549 loss: 1.9549 2022/09/23 17:19:39 - mmengine - INFO - Epoch(train) [17][1100/4238] lr: 8.9547e-05 eta: 15:56:38 time: 0.9870 data_time: 0.0162 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3819 loss: 1.3819 2022/09/23 17:21:09 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 17:21:17 - mmengine - INFO - Epoch(train) [17][1200/4238] lr: 8.9547e-05 eta: 15:54:59 time: 0.9795 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8409 loss: 1.8409 2022/09/23 17:22:56 - mmengine - INFO - Epoch(train) [17][1300/4238] lr: 8.9547e-05 eta: 15:53:20 time: 0.9850 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4834 loss: 1.4834 2022/09/23 17:24:34 - mmengine - INFO - Epoch(train) [17][1400/4238] lr: 8.9547e-05 eta: 15:51:42 time: 0.9800 data_time: 0.0163 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4922 loss: 1.4922 2022/09/23 17:26:13 - mmengine - INFO - Epoch(train) [17][1500/4238] lr: 8.9547e-05 eta: 15:50:03 time: 0.9818 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7096 loss: 1.7096 2022/09/23 17:27:51 - mmengine - INFO - Epoch(train) [17][1600/4238] lr: 8.9547e-05 eta: 15:48:24 time: 0.9865 data_time: 0.0179 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4115 loss: 1.4115 2022/09/23 17:29:31 - mmengine - INFO - Epoch(train) [17][1700/4238] lr: 8.9547e-05 eta: 15:46:47 time: 0.9835 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7134 loss: 1.7134 2022/09/23 17:31:10 - mmengine - INFO - Epoch(train) [17][1800/4238] lr: 8.9547e-05 eta: 15:45:08 time: 0.9879 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3047 loss: 1.3047 2022/09/23 17:32:48 - mmengine - INFO - Epoch(train) [17][1900/4238] lr: 8.9547e-05 eta: 15:43:30 time: 0.9859 data_time: 0.0170 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5702 loss: 1.5702 2022/09/23 17:34:27 - mmengine - INFO - Epoch(train) [17][2000/4238] lr: 8.9547e-05 eta: 15:41:51 time: 0.9845 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4814 loss: 1.4814 2022/09/23 17:36:05 - mmengine - INFO - Epoch(train) [17][2100/4238] lr: 8.9547e-05 eta: 15:40:12 time: 0.9817 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7495 loss: 1.7495 2022/09/23 17:37:36 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 17:37:44 - mmengine - INFO - Epoch(train) [17][2200/4238] lr: 8.9547e-05 eta: 15:38:34 time: 0.9858 data_time: 0.0185 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3996 loss: 1.3996 2022/09/23 17:39:23 - mmengine - INFO - Epoch(train) [17][2300/4238] lr: 8.9547e-05 eta: 15:36:55 time: 0.9824 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7184 loss: 1.7184 2022/09/23 17:41:01 - mmengine - INFO - Epoch(train) [17][2400/4238] lr: 8.9547e-05 eta: 15:35:17 time: 0.9798 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5447 loss: 1.5447 2022/09/23 17:42:40 - mmengine - INFO - Epoch(train) [17][2500/4238] lr: 8.9547e-05 eta: 15:33:38 time: 0.9907 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3985 loss: 1.3985 2022/09/23 17:44:18 - mmengine - INFO - Epoch(train) [17][2600/4238] lr: 8.9547e-05 eta: 15:32:00 time: 0.9847 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7038 loss: 1.7038 2022/09/23 17:45:56 - mmengine - INFO - Epoch(train) [17][2700/4238] lr: 8.9547e-05 eta: 15:30:21 time: 0.9865 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4380 loss: 1.4380 2022/09/23 17:47:35 - mmengine - INFO - Epoch(train) [17][2800/4238] lr: 8.9547e-05 eta: 15:28:42 time: 0.9782 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7837 loss: 1.7837 2022/09/23 17:49:13 - mmengine - INFO - Epoch(train) [17][2900/4238] lr: 8.9547e-05 eta: 15:27:03 time: 0.9785 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4809 loss: 1.4809 2022/09/23 17:50:52 - mmengine - INFO - Epoch(train) [17][3000/4238] lr: 8.9547e-05 eta: 15:25:25 time: 0.9838 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2866 loss: 1.2866 2022/09/23 17:52:30 - mmengine - INFO - Epoch(train) [17][3100/4238] lr: 8.9547e-05 eta: 15:23:46 time: 0.9855 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4784 loss: 1.4784 2022/09/23 17:54:01 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 17:54:09 - mmengine - INFO - Epoch(train) [17][3200/4238] lr: 8.9547e-05 eta: 15:22:07 time: 0.9805 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3910 loss: 1.3910 2022/09/23 17:55:47 - mmengine - INFO - Epoch(train) [17][3300/4238] lr: 8.9547e-05 eta: 15:20:29 time: 0.9847 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4298 loss: 1.4298 2022/09/23 17:57:26 - mmengine - INFO - Epoch(train) [17][3400/4238] lr: 8.9547e-05 eta: 15:18:50 time: 0.9874 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9937 loss: 1.9937 2022/09/23 17:59:05 - mmengine - INFO - Epoch(train) [17][3500/4238] lr: 8.9547e-05 eta: 15:17:12 time: 0.9801 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7337 loss: 1.7337 2022/09/23 18:00:46 - mmengine - INFO - Epoch(train) [17][3600/4238] lr: 8.9547e-05 eta: 15:15:36 time: 0.9797 data_time: 0.0177 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8177 loss: 1.8177 2022/09/23 18:02:25 - mmengine - INFO - Epoch(train) [17][3700/4238] lr: 8.9547e-05 eta: 15:13:57 time: 0.9827 data_time: 0.0170 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5311 loss: 1.5311 2022/09/23 18:04:03 - mmengine - INFO - Epoch(train) [17][3800/4238] lr: 8.9547e-05 eta: 15:12:18 time: 0.9827 data_time: 0.0176 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5347 loss: 1.5347 2022/09/23 18:05:42 - mmengine - INFO - Epoch(train) [17][3900/4238] lr: 8.9547e-05 eta: 15:10:40 time: 0.9829 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4766 loss: 1.4766 2022/09/23 18:07:20 - mmengine - INFO - Epoch(train) [17][4000/4238] lr: 8.9547e-05 eta: 15:09:01 time: 0.9839 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5870 loss: 1.5870 2022/09/23 18:08:59 - mmengine - INFO - Epoch(train) [17][4100/4238] lr: 8.9547e-05 eta: 15:07:22 time: 0.9800 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6164 loss: 1.6164 2022/09/23 18:10:29 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 18:10:37 - mmengine - INFO - Epoch(train) [17][4200/4238] lr: 8.9547e-05 eta: 15:05:44 time: 0.9827 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4927 loss: 1.4927 2022/09/23 18:11:14 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 18:11:14 - mmengine - INFO - Epoch(train) [17][4238/4238] lr: 8.9547e-05 eta: 15:05:24 time: 0.9602 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3309 loss: 1.3309 2022/09/23 18:12:55 - mmengine - INFO - Epoch(train) [18][100/4238] lr: 7.9209e-05 eta: 15:03:16 time: 0.9874 data_time: 0.0173 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6259 loss: 1.6259 2022/09/23 18:14:33 - mmengine - INFO - Epoch(train) [18][200/4238] lr: 7.9209e-05 eta: 15:01:37 time: 0.9894 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3943 loss: 1.3943 2022/09/23 18:16:12 - mmengine - INFO - Epoch(train) [18][300/4238] lr: 7.9209e-05 eta: 14:59:58 time: 0.9837 data_time: 0.0171 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5552 loss: 1.5552 2022/09/23 18:17:50 - mmengine - INFO - Epoch(train) [18][400/4238] lr: 7.9209e-05 eta: 14:58:20 time: 0.9863 data_time: 0.0158 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4634 loss: 1.4634 2022/09/23 18:19:29 - mmengine - INFO - Epoch(train) [18][500/4238] lr: 7.9209e-05 eta: 14:56:41 time: 0.9803 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4495 loss: 1.4495 2022/09/23 18:21:07 - mmengine - INFO - Epoch(train) [18][600/4238] lr: 7.9209e-05 eta: 14:55:02 time: 0.9775 data_time: 0.0163 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4752 loss: 1.4752 2022/09/23 18:22:45 - mmengine - INFO - Epoch(train) [18][700/4238] lr: 7.9209e-05 eta: 14:53:24 time: 0.9785 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5927 loss: 1.5927 2022/09/23 18:24:24 - mmengine - INFO - Epoch(train) [18][800/4238] lr: 7.9209e-05 eta: 14:51:45 time: 0.9846 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4031 loss: 1.4031 2022/09/23 18:26:02 - mmengine - INFO - Epoch(train) [18][900/4238] lr: 7.9209e-05 eta: 14:50:06 time: 0.9864 data_time: 0.0178 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3056 loss: 1.3056 2022/09/23 18:26:56 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 18:27:41 - mmengine - INFO - Epoch(train) [18][1000/4238] lr: 7.9209e-05 eta: 14:48:28 time: 0.9808 data_time: 0.0170 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5053 loss: 1.5053 2022/09/23 18:29:19 - mmengine - INFO - Epoch(train) [18][1100/4238] lr: 7.9209e-05 eta: 14:46:49 time: 0.9852 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4546 loss: 1.4546 2022/09/23 18:30:58 - mmengine - INFO - Epoch(train) [18][1200/4238] lr: 7.9209e-05 eta: 14:45:11 time: 1.0064 data_time: 0.0213 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2907 loss: 1.2907 2022/09/23 18:32:38 - mmengine - INFO - Epoch(train) [18][1300/4238] lr: 7.9209e-05 eta: 14:43:33 time: 1.0012 data_time: 0.0230 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4383 loss: 1.4383 2022/09/23 18:34:18 - mmengine - INFO - Epoch(train) [18][1400/4238] lr: 7.9209e-05 eta: 14:41:55 time: 0.9859 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4386 loss: 1.4386 2022/09/23 18:35:56 - mmengine - INFO - Epoch(train) [18][1500/4238] lr: 7.9209e-05 eta: 14:40:17 time: 0.9890 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4898 loss: 1.4898 2022/09/23 18:37:34 - mmengine - INFO - Epoch(train) [18][1600/4238] lr: 7.9209e-05 eta: 14:38:38 time: 0.9821 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/09/23 18:39:13 - mmengine - INFO - Epoch(train) [18][1700/4238] lr: 7.9209e-05 eta: 14:37:00 time: 0.9776 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6231 loss: 1.6231 2022/09/23 18:40:51 - mmengine - INFO - Epoch(train) [18][1800/4238] lr: 7.9209e-05 eta: 14:35:21 time: 0.9858 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6059 loss: 1.6059 2022/09/23 18:42:30 - mmengine - INFO - Epoch(train) [18][1900/4238] lr: 7.9209e-05 eta: 14:33:42 time: 0.9838 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3225 loss: 1.3225 2022/09/23 18:43:23 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 18:44:08 - mmengine - INFO - Epoch(train) [18][2000/4238] lr: 7.9209e-05 eta: 14:32:04 time: 0.9841 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6220 loss: 1.6220 2022/09/23 18:45:47 - mmengine - INFO - Epoch(train) [18][2100/4238] lr: 7.9209e-05 eta: 14:30:25 time: 0.9850 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3487 loss: 1.3487 2022/09/23 18:47:25 - mmengine - INFO - Epoch(train) [18][2200/4238] lr: 7.9209e-05 eta: 14:28:46 time: 0.9824 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2986 loss: 1.2986 2022/09/23 18:49:04 - mmengine - INFO - Epoch(train) [18][2300/4238] lr: 7.9209e-05 eta: 14:27:08 time: 0.9852 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6809 loss: 1.6809 2022/09/23 18:50:42 - mmengine - INFO - Epoch(train) [18][2400/4238] lr: 7.9209e-05 eta: 14:25:29 time: 0.9810 data_time: 0.0168 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6491 loss: 1.6491 2022/09/23 18:52:21 - mmengine - INFO - Epoch(train) [18][2500/4238] lr: 7.9209e-05 eta: 14:23:51 time: 0.9830 data_time: 0.0177 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9180 loss: 1.9180 2022/09/23 18:53:59 - mmengine - INFO - Epoch(train) [18][2600/4238] lr: 7.9209e-05 eta: 14:22:12 time: 0.9807 data_time: 0.0176 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5861 loss: 1.5861 2022/09/23 18:55:38 - mmengine - INFO - Epoch(train) [18][2700/4238] lr: 7.9209e-05 eta: 14:20:33 time: 0.9862 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7890 loss: 1.7890 2022/09/23 18:57:16 - mmengine - INFO - Epoch(train) [18][2800/4238] lr: 7.9209e-05 eta: 14:18:55 time: 0.9882 data_time: 0.0174 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7310 loss: 1.7310 2022/09/23 18:58:54 - mmengine - INFO - Epoch(train) [18][2900/4238] lr: 7.9209e-05 eta: 14:17:16 time: 0.9795 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6354 loss: 1.6354 2022/09/23 18:59:48 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 19:00:33 - mmengine - INFO - Epoch(train) [18][3000/4238] lr: 7.9209e-05 eta: 14:15:37 time: 0.9828 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6618 loss: 1.6618 2022/09/23 19:02:11 - mmengine - INFO - Epoch(train) [18][3100/4238] lr: 7.9209e-05 eta: 14:13:59 time: 0.9830 data_time: 0.0173 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4656 loss: 1.4656 2022/09/23 19:03:50 - mmengine - INFO - Epoch(train) [18][3200/4238] lr: 7.9209e-05 eta: 14:12:20 time: 0.9827 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2915 loss: 1.2915 2022/09/23 19:05:28 - mmengine - INFO - Epoch(train) [18][3300/4238] lr: 7.9209e-05 eta: 14:10:41 time: 0.9826 data_time: 0.0173 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6633 loss: 1.6633 2022/09/23 19:07:06 - mmengine - INFO - Epoch(train) [18][3400/4238] lr: 7.9209e-05 eta: 14:09:03 time: 0.9843 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7056 loss: 1.7056 2022/09/23 19:08:45 - mmengine - INFO - Epoch(train) [18][3500/4238] lr: 7.9209e-05 eta: 14:07:24 time: 0.9790 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6834 loss: 1.6834 2022/09/23 19:10:23 - mmengine - INFO - Epoch(train) [18][3600/4238] lr: 7.9209e-05 eta: 14:05:45 time: 0.9859 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5550 loss: 1.5550 2022/09/23 19:12:03 - mmengine - INFO - Epoch(train) [18][3700/4238] lr: 7.9209e-05 eta: 14:04:07 time: 0.9865 data_time: 0.0167 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3147 loss: 1.3147 2022/09/23 19:13:41 - mmengine - INFO - Epoch(train) [18][3800/4238] lr: 7.9209e-05 eta: 14:02:29 time: 0.9789 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3598 loss: 1.3598 2022/09/23 19:15:20 - mmengine - INFO - Epoch(train) [18][3900/4238] lr: 7.9209e-05 eta: 14:00:50 time: 0.9898 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6237 loss: 1.6237 2022/09/23 19:16:13 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 19:16:58 - mmengine - INFO - Epoch(train) [18][4000/4238] lr: 7.9209e-05 eta: 13:59:12 time: 0.9785 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2710 loss: 1.2710 2022/09/23 19:18:37 - mmengine - INFO - Epoch(train) [18][4100/4238] lr: 7.9209e-05 eta: 13:57:33 time: 0.9879 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4356 loss: 1.4356 2022/09/23 19:20:15 - mmengine - INFO - Epoch(train) [18][4200/4238] lr: 7.9209e-05 eta: 13:55:55 time: 0.9879 data_time: 0.0179 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8187 loss: 1.8187 2022/09/23 19:20:52 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 19:20:52 - mmengine - INFO - Epoch(train) [18][4238/4238] lr: 7.9209e-05 eta: 13:55:35 time: 0.9493 data_time: 0.0172 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5722 loss: 1.5722 2022/09/23 19:20:52 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/09/23 19:21:46 - mmengine - INFO - Epoch(val) [18][100/273] eta: 0:01:09 time: 0.3995 data_time: 0.0093 memory: 14236 2022/09/23 19:22:26 - mmengine - INFO - Epoch(val) [18][200/273] eta: 0:00:29 time: 0.3997 data_time: 0.0093 memory: 14236 2022/09/23 19:22:59 - mmengine - INFO - Epoch(val) [18][273/273] acc/top1: 0.6553 acc/top5: 0.8576 acc/mean1: 0.6552 2022/09/23 19:22:59 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/mmaction2/work_dirs/swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb/best_acc/top1_epoch_15.pth is removed 2022/09/23 19:23:02 - mmengine - INFO - The best checkpoint with 0.6553 acc/top1 at 18 epoch is saved to best_acc/top1_epoch_18.pth. 2022/09/23 19:24:42 - mmengine - INFO - Epoch(train) [19][100/4238] lr: 6.9098e-05 eta: 13:53:28 time: 0.9877 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7794 loss: 1.7794 2022/09/23 19:26:23 - mmengine - INFO - Epoch(train) [19][200/4238] lr: 6.9098e-05 eta: 13:51:50 time: 1.0916 data_time: 0.0180 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8230 loss: 1.8230 2022/09/23 19:28:01 - mmengine - INFO - Epoch(train) [19][300/4238] lr: 6.9098e-05 eta: 13:50:12 time: 0.9816 data_time: 0.0177 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4023 loss: 1.4023 2022/09/23 19:29:40 - mmengine - INFO - Epoch(train) [19][400/4238] lr: 6.9098e-05 eta: 13:48:33 time: 0.9882 data_time: 0.0162 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5204 loss: 1.5204 2022/09/23 19:31:18 - mmengine - INFO - Epoch(train) [19][500/4238] lr: 6.9098e-05 eta: 13:46:55 time: 0.9856 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2527 loss: 1.2527 2022/09/23 19:32:57 - mmengine - INFO - Epoch(train) [19][600/4238] lr: 6.9098e-05 eta: 13:45:16 time: 0.9865 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5557 loss: 1.5557 2022/09/23 19:34:35 - mmengine - INFO - Epoch(train) [19][700/4238] lr: 6.9098e-05 eta: 13:43:38 time: 0.9778 data_time: 0.0164 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3380 loss: 1.3380 2022/09/23 19:34:51 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 19:36:14 - mmengine - INFO - Epoch(train) [19][800/4238] lr: 6.9098e-05 eta: 13:41:59 time: 0.9813 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3635 loss: 1.3635 2022/09/23 19:37:52 - mmengine - INFO - Epoch(train) [19][900/4238] lr: 6.9098e-05 eta: 13:40:21 time: 0.9856 data_time: 0.0162 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3355 loss: 1.3355 2022/09/23 19:39:31 - mmengine - INFO - Epoch(train) [19][1000/4238] lr: 6.9098e-05 eta: 13:38:42 time: 0.9885 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5366 loss: 1.5366 2022/09/23 19:41:09 - mmengine - INFO - Epoch(train) [19][1100/4238] lr: 6.9098e-05 eta: 13:37:03 time: 0.9780 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4222 loss: 1.4222 2022/09/23 19:42:48 - mmengine - INFO - Epoch(train) [19][1200/4238] lr: 6.9098e-05 eta: 13:35:25 time: 0.9853 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3444 loss: 1.3444 2022/09/23 19:44:26 - mmengine - INFO - Epoch(train) [19][1300/4238] lr: 6.9098e-05 eta: 13:33:46 time: 0.9870 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4366 loss: 1.4366 2022/09/23 19:46:04 - mmengine - INFO - Epoch(train) [19][1400/4238] lr: 6.9098e-05 eta: 13:32:07 time: 0.9807 data_time: 0.0169 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6881 loss: 1.6881 2022/09/23 19:47:43 - mmengine - INFO - Epoch(train) [19][1500/4238] lr: 6.9098e-05 eta: 13:30:29 time: 0.9847 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5791 loss: 1.5791 2022/09/23 19:49:21 - mmengine - INFO - Epoch(train) [19][1600/4238] lr: 6.9098e-05 eta: 13:28:50 time: 0.9774 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2297 loss: 1.2297 2022/09/23 19:51:00 - mmengine - INFO - Epoch(train) [19][1700/4238] lr: 6.9098e-05 eta: 13:27:12 time: 0.9800 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5809 loss: 1.5809 2022/09/23 19:51:16 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 19:52:39 - mmengine - INFO - Epoch(train) [19][1800/4238] lr: 6.9098e-05 eta: 13:25:33 time: 0.9948 data_time: 0.0173 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4086 loss: 1.4086 2022/09/23 19:54:17 - mmengine - INFO - Epoch(train) [19][1900/4238] lr: 6.9098e-05 eta: 13:23:55 time: 0.9841 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5930 loss: 1.5930 2022/09/23 19:55:56 - mmengine - INFO - Epoch(train) [19][2000/4238] lr: 6.9098e-05 eta: 13:22:16 time: 0.9953 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5789 loss: 1.5789 2022/09/23 19:57:34 - mmengine - INFO - Epoch(train) [19][2100/4238] lr: 6.9098e-05 eta: 13:20:38 time: 0.9828 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6278 loss: 1.6278 2022/09/23 19:59:13 - mmengine - INFO - Epoch(train) [19][2200/4238] lr: 6.9098e-05 eta: 13:18:59 time: 0.9839 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7427 loss: 1.7427 2022/09/23 20:00:51 - mmengine - INFO - Epoch(train) [19][2300/4238] lr: 6.9098e-05 eta: 13:17:21 time: 0.9853 data_time: 0.0174 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5166 loss: 1.5166 2022/09/23 20:02:30 - mmengine - INFO - Epoch(train) [19][2400/4238] lr: 6.9098e-05 eta: 13:15:42 time: 0.9792 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6218 loss: 1.6218 2022/09/23 20:04:08 - mmengine - INFO - Epoch(train) [19][2500/4238] lr: 6.9098e-05 eta: 13:14:03 time: 0.9803 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6076 loss: 1.6076 2022/09/23 20:05:47 - mmengine - INFO - Epoch(train) [19][2600/4238] lr: 6.9098e-05 eta: 13:12:25 time: 0.9923 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1835 loss: 1.1835 2022/09/23 20:07:25 - mmengine - INFO - Epoch(train) [19][2700/4238] lr: 6.9098e-05 eta: 13:10:46 time: 0.9796 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6046 loss: 1.6046 2022/09/23 20:07:41 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 20:09:04 - mmengine - INFO - Epoch(train) [19][2800/4238] lr: 6.9098e-05 eta: 13:09:08 time: 0.9947 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2225 loss: 1.2225 2022/09/23 20:10:42 - mmengine - INFO - Epoch(train) [19][2900/4238] lr: 6.9098e-05 eta: 13:07:29 time: 0.9841 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6249 loss: 1.6249 2022/09/23 20:12:21 - mmengine - INFO - Epoch(train) [19][3000/4238] lr: 6.9098e-05 eta: 13:05:51 time: 0.9818 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4516 loss: 1.4516 2022/09/23 20:14:00 - mmengine - INFO - Epoch(train) [19][3100/4238] lr: 6.9098e-05 eta: 13:04:12 time: 0.9813 data_time: 0.0174 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4866 loss: 1.4866 2022/09/23 20:15:38 - mmengine - INFO - Epoch(train) [19][3200/4238] lr: 6.9098e-05 eta: 13:02:34 time: 0.9821 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3619 loss: 1.3619 2022/09/23 20:17:17 - mmengine - INFO - Epoch(train) [19][3300/4238] lr: 6.9098e-05 eta: 13:00:55 time: 0.9893 data_time: 0.0166 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4365 loss: 1.4365 2022/09/23 20:18:55 - mmengine - INFO - Epoch(train) [19][3400/4238] lr: 6.9098e-05 eta: 12:59:17 time: 0.9800 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4345 loss: 1.4345 2022/09/23 20:20:34 - mmengine - INFO - Epoch(train) [19][3500/4238] lr: 6.9098e-05 eta: 12:57:38 time: 0.9826 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5115 loss: 1.5115 2022/09/23 20:22:13 - mmengine - INFO - Epoch(train) [19][3600/4238] lr: 6.9098e-05 eta: 12:56:00 time: 0.9821 data_time: 0.0164 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5019 loss: 1.5019 2022/09/23 20:23:51 - mmengine - INFO - Epoch(train) [19][3700/4238] lr: 6.9098e-05 eta: 12:54:21 time: 0.9898 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4935 loss: 1.4935 2022/09/23 20:24:07 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 20:25:30 - mmengine - INFO - Epoch(train) [19][3800/4238] lr: 6.9098e-05 eta: 12:52:43 time: 0.9834 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6407 loss: 1.6407 2022/09/23 20:27:08 - mmengine - INFO - Epoch(train) [19][3900/4238] lr: 6.9098e-05 eta: 12:51:04 time: 0.9821 data_time: 0.0168 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6093 loss: 1.6093 2022/09/23 20:28:47 - mmengine - INFO - Epoch(train) [19][4000/4238] lr: 6.9098e-05 eta: 12:49:26 time: 0.9891 data_time: 0.0164 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2482 loss: 1.2482 2022/09/23 20:30:25 - mmengine - INFO - Epoch(train) [19][4100/4238] lr: 6.9098e-05 eta: 12:47:47 time: 0.9887 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7017 loss: 1.7017 2022/09/23 20:32:04 - mmengine - INFO - Epoch(train) [19][4200/4238] lr: 6.9098e-05 eta: 12:46:09 time: 0.9837 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0244 loss: 1.0244 2022/09/23 20:32:41 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 20:32:41 - mmengine - INFO - Epoch(train) [19][4238/4238] lr: 6.9098e-05 eta: 12:45:49 time: 0.9550 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7745 loss: 1.7745 2022/09/23 20:34:22 - mmengine - INFO - Epoch(train) [20][100/4238] lr: 5.9326e-05 eta: 12:43:44 time: 0.9839 data_time: 0.0172 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5118 loss: 1.5118 2022/09/23 20:36:01 - mmengine - INFO - Epoch(train) [20][200/4238] lr: 5.9326e-05 eta: 12:42:06 time: 0.9955 data_time: 0.0163 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3978 loss: 1.3978 2022/09/23 20:37:39 - mmengine - INFO - Epoch(train) [20][300/4238] lr: 5.9326e-05 eta: 12:40:27 time: 0.9819 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5281 loss: 1.5281 2022/09/23 20:39:18 - mmengine - INFO - Epoch(train) [20][400/4238] lr: 5.9326e-05 eta: 12:38:48 time: 0.9812 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5422 loss: 1.5422 2022/09/23 20:40:34 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 20:40:56 - mmengine - INFO - Epoch(train) [20][500/4238] lr: 5.9326e-05 eta: 12:37:10 time: 0.9838 data_time: 0.0163 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4902 loss: 1.4902 2022/09/23 20:42:35 - mmengine - INFO - Epoch(train) [20][600/4238] lr: 5.9326e-05 eta: 12:35:31 time: 0.9821 data_time: 0.0172 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6571 loss: 1.6571 2022/09/23 20:44:14 - mmengine - INFO - Epoch(train) [20][700/4238] lr: 5.9326e-05 eta: 12:33:53 time: 0.9867 data_time: 0.0175 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3270 loss: 1.3270 2022/09/23 20:45:52 - mmengine - INFO - Epoch(train) [20][800/4238] lr: 5.9326e-05 eta: 12:32:15 time: 0.9836 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5416 loss: 1.5416 2022/09/23 20:47:31 - mmengine - INFO - Epoch(train) [20][900/4238] lr: 5.9326e-05 eta: 12:30:36 time: 0.9812 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5247 loss: 1.5247 2022/09/23 20:49:09 - mmengine - INFO - Epoch(train) [20][1000/4238] lr: 5.9326e-05 eta: 12:28:58 time: 0.9836 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5427 loss: 1.5427 2022/09/23 20:50:48 - mmengine - INFO - Epoch(train) [20][1100/4238] lr: 5.9326e-05 eta: 12:27:19 time: 0.9893 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5352 loss: 1.5352 2022/09/23 20:52:26 - mmengine - INFO - Epoch(train) [20][1200/4238] lr: 5.9326e-05 eta: 12:25:41 time: 0.9834 data_time: 0.0160 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6783 loss: 1.6783 2022/09/23 20:54:05 - mmengine - INFO - Epoch(train) [20][1300/4238] lr: 5.9326e-05 eta: 12:24:02 time: 0.9804 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4695 loss: 1.4695 2022/09/23 20:55:43 - mmengine - INFO - Epoch(train) [20][1400/4238] lr: 5.9326e-05 eta: 12:22:24 time: 0.9884 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3501 loss: 1.3501 2022/09/23 20:57:00 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 20:57:22 - mmengine - INFO - Epoch(train) [20][1500/4238] lr: 5.9326e-05 eta: 12:20:45 time: 0.9803 data_time: 0.0174 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3950 loss: 1.3950 2022/09/23 20:59:01 - mmengine - INFO - Epoch(train) [20][1600/4238] lr: 5.9326e-05 eta: 12:19:07 time: 0.9914 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4025 loss: 1.4025 2022/09/23 21:00:39 - mmengine - INFO - Epoch(train) [20][1700/4238] lr: 5.9326e-05 eta: 12:17:28 time: 0.9807 data_time: 0.0167 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2796 loss: 1.2796 2022/09/23 21:02:17 - mmengine - INFO - Epoch(train) [20][1800/4238] lr: 5.9326e-05 eta: 12:15:50 time: 0.9859 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3438 loss: 1.3438 2022/09/23 21:03:56 - mmengine - INFO - Epoch(train) [20][1900/4238] lr: 5.9326e-05 eta: 12:14:11 time: 0.9883 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4525 loss: 1.4525 2022/09/23 21:05:35 - mmengine - INFO - Epoch(train) [20][2000/4238] lr: 5.9326e-05 eta: 12:12:33 time: 0.9941 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4529 loss: 1.4529 2022/09/23 21:07:14 - mmengine - INFO - Epoch(train) [20][2100/4238] lr: 5.9326e-05 eta: 12:10:54 time: 0.9916 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3906 loss: 1.3906 2022/09/23 21:08:52 - mmengine - INFO - Epoch(train) [20][2200/4238] lr: 5.9326e-05 eta: 12:09:16 time: 0.9801 data_time: 0.0171 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4795 loss: 1.4795 2022/09/23 21:10:31 - mmengine - INFO - Epoch(train) [20][2300/4238] lr: 5.9326e-05 eta: 12:07:37 time: 1.0010 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3047 loss: 1.3047 2022/09/23 21:12:10 - mmengine - INFO - Epoch(train) [20][2400/4238] lr: 5.9326e-05 eta: 12:05:59 time: 0.9851 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3961 loss: 1.3961 2022/09/23 21:13:27 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 21:13:48 - mmengine - INFO - Epoch(train) [20][2500/4238] lr: 5.9326e-05 eta: 12:04:21 time: 0.9860 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1934 loss: 1.1934 2022/09/23 21:15:27 - mmengine - INFO - Epoch(train) [20][2600/4238] lr: 5.9326e-05 eta: 12:02:42 time: 0.9924 data_time: 0.0168 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4920 loss: 1.4920 2022/09/23 21:17:05 - mmengine - INFO - Epoch(train) [20][2700/4238] lr: 5.9326e-05 eta: 12:01:04 time: 0.9865 data_time: 0.0171 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4134 loss: 1.4134 2022/09/23 21:18:44 - mmengine - INFO - Epoch(train) [20][2800/4238] lr: 5.9326e-05 eta: 11:59:25 time: 0.9915 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3665 loss: 1.3665 2022/09/23 21:20:23 - mmengine - INFO - Epoch(train) [20][2900/4238] lr: 5.9326e-05 eta: 11:57:47 time: 0.9899 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5794 loss: 1.5794 2022/09/23 21:22:01 - mmengine - INFO - Epoch(train) [20][3000/4238] lr: 5.9326e-05 eta: 11:56:08 time: 0.9822 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4965 loss: 1.4965 2022/09/23 21:23:40 - mmengine - INFO - Epoch(train) [20][3100/4238] lr: 5.9326e-05 eta: 11:54:30 time: 0.9921 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5598 loss: 1.5598 2022/09/23 21:25:19 - mmengine - INFO - Epoch(train) [20][3200/4238] lr: 5.9326e-05 eta: 11:52:51 time: 0.9809 data_time: 0.0182 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3231 loss: 1.3231 2022/09/23 21:26:58 - mmengine - INFO - Epoch(train) [20][3300/4238] lr: 5.9326e-05 eta: 11:51:13 time: 0.9874 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4919 loss: 1.4919 2022/09/23 21:28:36 - mmengine - INFO - Epoch(train) [20][3400/4238] lr: 5.9326e-05 eta: 11:49:35 time: 0.9829 data_time: 0.0171 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3695 loss: 1.3695 2022/09/23 21:29:53 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 21:30:15 - mmengine - INFO - Epoch(train) [20][3500/4238] lr: 5.9326e-05 eta: 11:47:56 time: 0.9875 data_time: 0.0175 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2687 loss: 1.2687 2022/09/23 21:31:53 - mmengine - INFO - Epoch(train) [20][3600/4238] lr: 5.9326e-05 eta: 11:46:17 time: 0.9915 data_time: 0.0174 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3948 loss: 1.3948 2022/09/23 21:33:32 - mmengine - INFO - Epoch(train) [20][3700/4238] lr: 5.9326e-05 eta: 11:44:39 time: 0.9794 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6953 loss: 1.6953 2022/09/23 21:35:10 - mmengine - INFO - Epoch(train) [20][3800/4238] lr: 5.9326e-05 eta: 11:43:00 time: 0.9833 data_time: 0.0170 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6892 loss: 1.6892 2022/09/23 21:36:49 - mmengine - INFO - Epoch(train) [20][3900/4238] lr: 5.9326e-05 eta: 11:41:22 time: 0.9861 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2988 loss: 1.2988 2022/09/23 21:38:28 - mmengine - INFO - Epoch(train) [20][4000/4238] lr: 5.9326e-05 eta: 11:39:43 time: 0.9870 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2935 loss: 1.2935 2022/09/23 21:40:06 - mmengine - INFO - Epoch(train) [20][4100/4238] lr: 5.9326e-05 eta: 11:38:05 time: 0.9836 data_time: 0.0176 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/09/23 21:41:45 - mmengine - INFO - Epoch(train) [20][4200/4238] lr: 5.9326e-05 eta: 11:36:26 time: 0.9887 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5715 loss: 1.5715 2022/09/23 21:42:22 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 21:42:22 - mmengine - INFO - Epoch(train) [20][4238/4238] lr: 5.9326e-05 eta: 11:36:07 time: 0.9713 data_time: 0.0187 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3704 loss: 1.3704 2022/09/23 21:44:03 - mmengine - INFO - Epoch(train) [21][100/4238] lr: 5.0000e-05 eta: 11:34:03 time: 0.9796 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5087 loss: 1.5087 2022/09/23 21:45:41 - mmengine - INFO - Epoch(train) [21][200/4238] lr: 5.0000e-05 eta: 11:32:24 time: 0.9795 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3125 loss: 1.3125 2022/09/23 21:46:21 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 21:47:20 - mmengine - INFO - Epoch(train) [21][300/4238] lr: 5.0000e-05 eta: 11:30:46 time: 0.9807 data_time: 0.0165 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4312 loss: 1.4312 2022/09/23 21:48:58 - mmengine - INFO - Epoch(train) [21][400/4238] lr: 5.0000e-05 eta: 11:29:07 time: 0.9882 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4956 loss: 1.4956 2022/09/23 21:50:37 - mmengine - INFO - Epoch(train) [21][500/4238] lr: 5.0000e-05 eta: 11:27:29 time: 0.9948 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1713 loss: 1.1713 2022/09/23 21:52:15 - mmengine - INFO - Epoch(train) [21][600/4238] lr: 5.0000e-05 eta: 11:25:50 time: 0.9831 data_time: 0.0194 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5025 loss: 1.5025 2022/09/23 21:53:54 - mmengine - INFO - Epoch(train) [21][700/4238] lr: 5.0000e-05 eta: 11:24:12 time: 0.9843 data_time: 0.0170 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5692 loss: 1.5692 2022/09/23 21:55:32 - mmengine - INFO - Epoch(train) [21][800/4238] lr: 5.0000e-05 eta: 11:22:33 time: 0.9911 data_time: 0.0174 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6838 loss: 1.6838 2022/09/23 21:57:11 - mmengine - INFO - Epoch(train) [21][900/4238] lr: 5.0000e-05 eta: 11:20:55 time: 0.9782 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6033 loss: 1.6033 2022/09/23 21:58:49 - mmengine - INFO - Epoch(train) [21][1000/4238] lr: 5.0000e-05 eta: 11:19:16 time: 0.9922 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5309 loss: 1.5309 2022/09/23 22:00:28 - mmengine - INFO - Epoch(train) [21][1100/4238] lr: 5.0000e-05 eta: 11:17:38 time: 0.9850 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7596 loss: 1.7596 2022/09/23 22:02:07 - mmengine - INFO - Epoch(train) [21][1200/4238] lr: 5.0000e-05 eta: 11:16:00 time: 0.9949 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4837 loss: 1.4837 2022/09/23 22:02:46 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 22:03:45 - mmengine - INFO - Epoch(train) [21][1300/4238] lr: 5.0000e-05 eta: 11:14:21 time: 0.9846 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4882 loss: 1.4882 2022/09/23 22:05:24 - mmengine - INFO - Epoch(train) [21][1400/4238] lr: 5.0000e-05 eta: 11:12:43 time: 0.9805 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5369 loss: 1.5369 2022/09/23 22:07:03 - mmengine - INFO - Epoch(train) [21][1500/4238] lr: 5.0000e-05 eta: 11:11:04 time: 0.9890 data_time: 0.0161 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3014 loss: 1.3014 2022/09/23 22:08:42 - mmengine - INFO - Epoch(train) [21][1600/4238] lr: 5.0000e-05 eta: 11:09:26 time: 0.9914 data_time: 0.0168 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4084 loss: 1.4084 2022/09/23 22:10:20 - mmengine - INFO - Epoch(train) [21][1700/4238] lr: 5.0000e-05 eta: 11:07:47 time: 0.9796 data_time: 0.0174 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5148 loss: 1.5148 2022/09/23 22:11:59 - mmengine - INFO - Epoch(train) [21][1800/4238] lr: 5.0000e-05 eta: 11:06:09 time: 0.9856 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4671 loss: 1.4671 2022/09/23 22:13:37 - mmengine - INFO - Epoch(train) [21][1900/4238] lr: 5.0000e-05 eta: 11:04:30 time: 0.9860 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2691 loss: 1.2691 2022/09/23 22:15:16 - mmengine - INFO - Epoch(train) [21][2000/4238] lr: 5.0000e-05 eta: 11:02:52 time: 0.9801 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3718 loss: 1.3718 2022/09/23 22:16:54 - mmengine - INFO - Epoch(train) [21][2100/4238] lr: 5.0000e-05 eta: 11:01:13 time: 0.9822 data_time: 0.0171 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6180 loss: 1.6180 2022/09/23 22:18:33 - mmengine - INFO - Epoch(train) [21][2200/4238] lr: 5.0000e-05 eta: 10:59:35 time: 0.9779 data_time: 0.0157 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2493 loss: 1.2493 2022/09/23 22:19:12 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 22:20:12 - mmengine - INFO - Epoch(train) [21][2300/4238] lr: 5.0000e-05 eta: 10:57:57 time: 0.9858 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2774 loss: 1.2774 2022/09/23 22:21:50 - mmengine - INFO - Epoch(train) [21][2400/4238] lr: 5.0000e-05 eta: 10:56:18 time: 0.9881 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3111 loss: 1.3111 2022/09/23 22:23:28 - mmengine - INFO - Epoch(train) [21][2500/4238] lr: 5.0000e-05 eta: 10:54:39 time: 0.9794 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3031 loss: 1.3031 2022/09/23 22:25:07 - mmengine - INFO - Epoch(train) [21][2600/4238] lr: 5.0000e-05 eta: 10:53:01 time: 0.9855 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3456 loss: 1.3456 2022/09/23 22:26:46 - mmengine - INFO - Epoch(train) [21][2700/4238] lr: 5.0000e-05 eta: 10:51:23 time: 0.9795 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4460 loss: 1.4460 2022/09/23 22:28:25 - mmengine - INFO - Epoch(train) [21][2800/4238] lr: 5.0000e-05 eta: 10:49:44 time: 0.9901 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4736 loss: 1.4736 2022/09/23 22:30:04 - mmengine - INFO - Epoch(train) [21][2900/4238] lr: 5.0000e-05 eta: 10:48:06 time: 0.9822 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2942 loss: 1.2942 2022/09/23 22:31:42 - mmengine - INFO - Epoch(train) [21][3000/4238] lr: 5.0000e-05 eta: 10:46:28 time: 0.9965 data_time: 0.0175 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5543 loss: 1.5543 2022/09/23 22:33:21 - mmengine - INFO - Epoch(train) [21][3100/4238] lr: 5.0000e-05 eta: 10:44:49 time: 0.9907 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3568 loss: 1.3568 2022/09/23 22:34:59 - mmengine - INFO - Epoch(train) [21][3200/4238] lr: 5.0000e-05 eta: 10:43:11 time: 0.9796 data_time: 0.0172 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3670 loss: 1.3670 2022/09/23 22:35:39 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 22:36:38 - mmengine - INFO - Epoch(train) [21][3300/4238] lr: 5.0000e-05 eta: 10:41:32 time: 0.9847 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2777 loss: 1.2777 2022/09/23 22:38:17 - mmengine - INFO - Epoch(train) [21][3400/4238] lr: 5.0000e-05 eta: 10:39:54 time: 0.9881 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1734 loss: 1.1734 2022/09/23 22:39:55 - mmengine - INFO - Epoch(train) [21][3500/4238] lr: 5.0000e-05 eta: 10:38:15 time: 0.9864 data_time: 0.0174 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1474 loss: 1.1474 2022/09/23 22:41:34 - mmengine - INFO - Epoch(train) [21][3600/4238] lr: 5.0000e-05 eta: 10:36:37 time: 0.9922 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7383 loss: 1.7383 2022/09/23 22:43:13 - mmengine - INFO - Epoch(train) [21][3700/4238] lr: 5.0000e-05 eta: 10:34:58 time: 0.9851 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2363 loss: 1.2363 2022/09/23 22:44:51 - mmengine - INFO - Epoch(train) [21][3800/4238] lr: 5.0000e-05 eta: 10:33:20 time: 0.9793 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5240 loss: 1.5240 2022/09/23 22:46:30 - mmengine - INFO - Epoch(train) [21][3900/4238] lr: 5.0000e-05 eta: 10:31:42 time: 0.9934 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3977 loss: 1.3977 2022/09/23 22:48:09 - mmengine - INFO - Epoch(train) [21][4000/4238] lr: 5.0000e-05 eta: 10:30:03 time: 0.9842 data_time: 0.0176 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3256 loss: 1.3256 2022/09/23 22:49:48 - mmengine - INFO - Epoch(train) [21][4100/4238] lr: 5.0000e-05 eta: 10:28:25 time: 0.9910 data_time: 0.0176 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2318 loss: 1.2318 2022/09/23 22:51:27 - mmengine - INFO - Epoch(train) [21][4200/4238] lr: 5.0000e-05 eta: 10:26:46 time: 0.9838 data_time: 0.0159 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4254 loss: 1.4254 2022/09/23 22:52:03 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 22:52:03 - mmengine - INFO - Epoch(train) [21][4238/4238] lr: 5.0000e-05 eta: 10:26:27 time: 0.9539 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7642 loss: 1.7642 2022/09/23 22:52:04 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/09/23 22:52:56 - mmengine - INFO - Epoch(val) [21][100/273] eta: 0:01:09 time: 0.3996 data_time: 0.0092 memory: 14236 2022/09/23 22:53:36 - mmengine - INFO - Epoch(val) [21][200/273] eta: 0:00:29 time: 0.4000 data_time: 0.0095 memory: 14236 2022/09/23 22:54:08 - mmengine - INFO - Epoch(val) [21][273/273] acc/top1: 0.6691 acc/top5: 0.8656 acc/mean1: 0.6691 2022/09/23 22:54:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/mmaction2/work_dirs/swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb/best_acc/top1_epoch_18.pth is removed 2022/09/23 22:54:12 - mmengine - INFO - The best checkpoint with 0.6691 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/09/23 22:54:15 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 22:55:52 - mmengine - INFO - Epoch(train) [22][100/4238] lr: 4.1221e-05 eta: 10:24:24 time: 0.9982 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3023 loss: 1.3023 2022/09/23 22:57:31 - mmengine - INFO - Epoch(train) [22][200/4238] lr: 4.1221e-05 eta: 10:22:45 time: 0.9837 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1650 loss: 1.1650 2022/09/23 22:59:10 - mmengine - INFO - Epoch(train) [22][300/4238] lr: 4.1221e-05 eta: 10:21:07 time: 1.0019 data_time: 0.0172 memory: 68898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3203 loss: 1.3203 2022/09/23 23:00:50 - mmengine - INFO - Epoch(train) [22][400/4238] lr: 4.1221e-05 eta: 10:19:29 time: 1.0039 data_time: 0.0171 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2852 loss: 1.2852 2022/09/23 23:02:28 - mmengine - INFO - Epoch(train) [22][500/4238] lr: 4.1221e-05 eta: 10:17:51 time: 0.9800 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0919 loss: 1.0919 2022/09/23 23:04:07 - mmengine - INFO - Epoch(train) [22][600/4238] lr: 4.1221e-05 eta: 10:16:12 time: 0.9816 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2893 loss: 1.2893 2022/09/23 23:05:46 - mmengine - INFO - Epoch(train) [22][700/4238] lr: 4.1221e-05 eta: 10:14:34 time: 1.0007 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3006 loss: 1.3006 2022/09/23 23:07:24 - mmengine - INFO - Epoch(train) [22][800/4238] lr: 4.1221e-05 eta: 10:12:56 time: 0.9794 data_time: 0.0169 memory: 68898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4675 loss: 1.4675 2022/09/23 23:09:03 - mmengine - INFO - Epoch(train) [22][900/4238] lr: 4.1221e-05 eta: 10:11:17 time: 0.9879 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1921 loss: 1.1921 2022/09/23 23:10:42 - mmengine - INFO - Epoch(train) [22][1000/4238] lr: 4.1221e-05 eta: 10:09:39 time: 0.9975 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4982 loss: 1.4982 2022/09/23 23:10:44 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 23:12:21 - mmengine - INFO - Epoch(train) [22][1100/4238] lr: 4.1221e-05 eta: 10:08:01 time: 0.9793 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4118 loss: 1.4118 2022/09/23 23:14:00 - mmengine - INFO - Epoch(train) [22][1200/4238] lr: 4.1221e-05 eta: 10:06:22 time: 0.9966 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3356 loss: 1.3356 2022/09/23 23:15:38 - mmengine - INFO - Epoch(train) [22][1300/4238] lr: 4.1221e-05 eta: 10:04:44 time: 0.9865 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2502 loss: 1.2502 2022/09/23 23:17:17 - mmengine - INFO - Epoch(train) [22][1400/4238] lr: 4.1221e-05 eta: 10:03:05 time: 0.9790 data_time: 0.0174 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6769 loss: 1.6769 2022/09/23 23:18:55 - mmengine - INFO - Epoch(train) [22][1500/4238] lr: 4.1221e-05 eta: 10:01:27 time: 0.9874 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5812 loss: 1.5812 2022/09/23 23:20:34 - mmengine - INFO - Epoch(train) [22][1600/4238] lr: 4.1221e-05 eta: 9:59:48 time: 0.9811 data_time: 0.0175 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5502 loss: 1.5502 2022/09/23 23:22:13 - mmengine - INFO - Epoch(train) [22][1700/4238] lr: 4.1221e-05 eta: 9:58:10 time: 0.9842 data_time: 0.0176 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/09/23 23:23:51 - mmengine - INFO - Epoch(train) [22][1800/4238] lr: 4.1221e-05 eta: 9:56:31 time: 0.9843 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5197 loss: 1.5197 2022/09/23 23:25:31 - mmengine - INFO - Epoch(train) [22][1900/4238] lr: 4.1221e-05 eta: 9:54:53 time: 1.0009 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3455 loss: 1.3455 2022/09/23 23:27:10 - mmengine - INFO - Epoch(train) [22][2000/4238] lr: 4.1221e-05 eta: 9:53:15 time: 0.9957 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0646 loss: 1.0646 2022/09/23 23:27:12 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 23:28:49 - mmengine - INFO - Epoch(train) [22][2100/4238] lr: 4.1221e-05 eta: 9:51:37 time: 0.9923 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1720 loss: 1.1720 2022/09/23 23:30:28 - mmengine - INFO - Epoch(train) [22][2200/4238] lr: 4.1221e-05 eta: 9:49:59 time: 0.9964 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4827 loss: 1.4827 2022/09/23 23:32:08 - mmengine - INFO - Epoch(train) [22][2300/4238] lr: 4.1221e-05 eta: 9:48:20 time: 1.0020 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5795 loss: 1.5795 2022/09/23 23:33:48 - mmengine - INFO - Epoch(train) [22][2400/4238] lr: 4.1221e-05 eta: 9:46:43 time: 0.9919 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5592 loss: 1.5592 2022/09/23 23:35:26 - mmengine - INFO - Epoch(train) [22][2500/4238] lr: 4.1221e-05 eta: 9:45:04 time: 0.9798 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0654 loss: 1.0654 2022/09/23 23:37:05 - mmengine - INFO - Epoch(train) [22][2600/4238] lr: 4.1221e-05 eta: 9:43:26 time: 0.9887 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5124 loss: 1.5124 2022/09/23 23:38:43 - mmengine - INFO - Epoch(train) [22][2700/4238] lr: 4.1221e-05 eta: 9:41:47 time: 0.9876 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4538 loss: 1.4538 2022/09/23 23:40:22 - mmengine - INFO - Epoch(train) [22][2800/4238] lr: 4.1221e-05 eta: 9:40:09 time: 0.9879 data_time: 0.0167 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2412 loss: 1.2412 2022/09/23 23:42:01 - mmengine - INFO - Epoch(train) [22][2900/4238] lr: 4.1221e-05 eta: 9:38:31 time: 0.9992 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4539 loss: 1.4539 2022/09/23 23:43:41 - mmengine - INFO - Epoch(train) [22][3000/4238] lr: 4.1221e-05 eta: 9:36:52 time: 0.9887 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1183 loss: 1.1183 2022/09/23 23:43:43 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/23 23:45:19 - mmengine - INFO - Epoch(train) [22][3100/4238] lr: 4.1221e-05 eta: 9:35:14 time: 0.9871 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4736 loss: 1.4736 2022/09/23 23:46:58 - mmengine - INFO - Epoch(train) [22][3200/4238] lr: 4.1221e-05 eta: 9:33:35 time: 0.9857 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3575 loss: 1.3575 2022/09/23 23:48:37 - mmengine - INFO - Epoch(train) [22][3300/4238] lr: 4.1221e-05 eta: 9:31:57 time: 0.9814 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2502 loss: 1.2502 2022/09/23 23:50:15 - mmengine - INFO - Epoch(train) [22][3400/4238] lr: 4.1221e-05 eta: 9:30:19 time: 0.9851 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3465 loss: 1.3465 2022/09/23 23:51:54 - mmengine - INFO - Epoch(train) [22][3500/4238] lr: 4.1221e-05 eta: 9:28:40 time: 0.9816 data_time: 0.0168 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2751 loss: 1.2751 2022/09/23 23:53:33 - mmengine - INFO - Epoch(train) [22][3600/4238] lr: 4.1221e-05 eta: 9:27:02 time: 0.9807 data_time: 0.0162 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3882 loss: 1.3882 2022/09/23 23:55:12 - mmengine - INFO - Epoch(train) [22][3700/4238] lr: 4.1221e-05 eta: 9:25:23 time: 0.9911 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0726 loss: 1.0726 2022/09/23 23:56:50 - mmengine - INFO - Epoch(train) [22][3800/4238] lr: 4.1221e-05 eta: 9:23:45 time: 0.9896 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4618 loss: 1.4618 2022/09/23 23:58:29 - mmengine - INFO - Epoch(train) [22][3900/4238] lr: 4.1221e-05 eta: 9:22:06 time: 0.9842 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2269 loss: 1.2269 2022/09/24 00:00:11 - mmengine - INFO - Epoch(train) [22][4000/4238] lr: 4.1221e-05 eta: 9:20:29 time: 1.1193 data_time: 0.0195 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1535 loss: 1.1535 2022/09/24 00:00:13 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 00:01:50 - mmengine - INFO - Epoch(train) [22][4100/4238] lr: 4.1221e-05 eta: 9:18:51 time: 0.9879 data_time: 0.0174 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4738 loss: 1.4738 2022/09/24 00:03:29 - mmengine - INFO - Epoch(train) [22][4200/4238] lr: 4.1221e-05 eta: 9:17:12 time: 0.9826 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4010 loss: 1.4010 2022/09/24 00:04:06 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 00:04:06 - mmengine - INFO - Epoch(train) [22][4238/4238] lr: 4.1221e-05 eta: 9:16:53 time: 0.9940 data_time: 0.0187 memory: 68898 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 1.3669 loss: 1.3669 2022/09/24 00:05:47 - mmengine - INFO - Epoch(train) [23][100/4238] lr: 3.3087e-05 eta: 9:14:51 time: 0.9875 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5102 loss: 1.5102 2022/09/24 00:07:26 - mmengine - INFO - Epoch(train) [23][200/4238] lr: 3.3087e-05 eta: 9:13:13 time: 1.0008 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3871 loss: 1.3871 2022/09/24 00:09:05 - mmengine - INFO - Epoch(train) [23][300/4238] lr: 3.3087e-05 eta: 9:11:34 time: 0.9933 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4220 loss: 1.4220 2022/09/24 00:10:44 - mmengine - INFO - Epoch(train) [23][400/4238] lr: 3.3087e-05 eta: 9:09:56 time: 0.9860 data_time: 0.0159 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1504 loss: 1.1504 2022/09/24 00:12:23 - mmengine - INFO - Epoch(train) [23][500/4238] lr: 3.3087e-05 eta: 9:08:18 time: 1.0001 data_time: 0.0168 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4816 loss: 1.4816 2022/09/24 00:14:02 - mmengine - INFO - Epoch(train) [23][600/4238] lr: 3.3087e-05 eta: 9:06:39 time: 0.9908 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3173 loss: 1.3173 2022/09/24 00:15:41 - mmengine - INFO - Epoch(train) [23][700/4238] lr: 3.3087e-05 eta: 9:05:01 time: 0.9922 data_time: 0.0171 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9841 loss: 0.9841 2022/09/24 00:16:45 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 00:17:20 - mmengine - INFO - Epoch(train) [23][800/4238] lr: 3.3087e-05 eta: 9:03:23 time: 0.9926 data_time: 0.0174 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3020 loss: 1.3020 2022/09/24 00:18:59 - mmengine - INFO - Epoch(train) [23][900/4238] lr: 3.3087e-05 eta: 9:01:44 time: 0.9893 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2237 loss: 1.2237 2022/09/24 00:20:38 - mmengine - INFO - Epoch(train) [23][1000/4238] lr: 3.3087e-05 eta: 9:00:06 time: 0.9932 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0022 loss: 1.0022 2022/09/24 00:22:18 - mmengine - INFO - Epoch(train) [23][1100/4238] lr: 3.3087e-05 eta: 8:58:28 time: 0.9817 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1336 loss: 1.1336 2022/09/24 00:23:57 - mmengine - INFO - Epoch(train) [23][1200/4238] lr: 3.3087e-05 eta: 8:56:50 time: 0.9903 data_time: 0.0161 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3951 loss: 1.3951 2022/09/24 00:25:36 - mmengine - INFO - Epoch(train) [23][1300/4238] lr: 3.3087e-05 eta: 8:55:11 time: 0.9888 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4810 loss: 1.4810 2022/09/24 00:27:15 - mmengine - INFO - Epoch(train) [23][1400/4238] lr: 3.3087e-05 eta: 8:53:33 time: 0.9949 data_time: 0.0175 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1218 loss: 1.1218 2022/09/24 00:28:53 - mmengine - INFO - Epoch(train) [23][1500/4238] lr: 3.3087e-05 eta: 8:51:54 time: 0.9873 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3689 loss: 1.3689 2022/09/24 00:30:32 - mmengine - INFO - Epoch(train) [23][1600/4238] lr: 3.3087e-05 eta: 8:50:16 time: 0.9868 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2384 loss: 1.2384 2022/09/24 00:32:11 - mmengine - INFO - Epoch(train) [23][1700/4238] lr: 3.3087e-05 eta: 8:48:38 time: 1.0022 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2759 loss: 1.2759 2022/09/24 00:33:15 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 00:33:50 - mmengine - INFO - Epoch(train) [23][1800/4238] lr: 3.3087e-05 eta: 8:47:00 time: 0.9987 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3074 loss: 1.3074 2022/09/24 00:35:29 - mmengine - INFO - Epoch(train) [23][1900/4238] lr: 3.3087e-05 eta: 8:45:21 time: 0.9801 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6420 loss: 1.6420 2022/09/24 00:37:09 - mmengine - INFO - Epoch(train) [23][2000/4238] lr: 3.3087e-05 eta: 8:43:43 time: 0.9914 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1946 loss: 1.1946 2022/09/24 00:38:49 - mmengine - INFO - Epoch(train) [23][2100/4238] lr: 3.3087e-05 eta: 8:42:05 time: 1.0012 data_time: 0.0191 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4613 loss: 1.4613 2022/09/24 00:40:28 - mmengine - INFO - Epoch(train) [23][2200/4238] lr: 3.3087e-05 eta: 8:40:27 time: 0.9889 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2602 loss: 1.2602 2022/09/24 00:42:08 - mmengine - INFO - Epoch(train) [23][2300/4238] lr: 3.3087e-05 eta: 8:38:49 time: 0.9825 data_time: 0.0162 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1356 loss: 1.1356 2022/09/24 00:43:47 - mmengine - INFO - Epoch(train) [23][2400/4238] lr: 3.3087e-05 eta: 8:37:10 time: 0.9841 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4034 loss: 1.4034 2022/09/24 00:45:27 - mmengine - INFO - Epoch(train) [23][2500/4238] lr: 3.3087e-05 eta: 8:35:32 time: 0.9972 data_time: 0.0178 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2361 loss: 1.2361 2022/09/24 00:47:07 - mmengine - INFO - Epoch(train) [23][2600/4238] lr: 3.3087e-05 eta: 8:33:54 time: 0.9946 data_time: 0.0175 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3649 loss: 1.3649 2022/09/24 00:48:47 - mmengine - INFO - Epoch(train) [23][2700/4238] lr: 3.3087e-05 eta: 8:32:16 time: 1.0004 data_time: 0.0164 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3780 loss: 1.3780 2022/09/24 00:49:51 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 00:50:27 - mmengine - INFO - Epoch(train) [23][2800/4238] lr: 3.3087e-05 eta: 8:30:38 time: 1.0024 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3121 loss: 1.3121 2022/09/24 00:52:07 - mmengine - INFO - Epoch(train) [23][2900/4238] lr: 3.3087e-05 eta: 8:29:00 time: 0.9958 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3542 loss: 1.3542 2022/09/24 00:53:47 - mmengine - INFO - Epoch(train) [23][3000/4238] lr: 3.3087e-05 eta: 8:27:22 time: 1.0067 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5174 loss: 1.5174 2022/09/24 00:55:26 - mmengine - INFO - Epoch(train) [23][3100/4238] lr: 3.3087e-05 eta: 8:25:44 time: 0.9927 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0139 loss: 1.0139 2022/09/24 00:57:06 - mmengine - INFO - Epoch(train) [23][3200/4238] lr: 3.3087e-05 eta: 8:24:06 time: 0.9926 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2452 loss: 1.2452 2022/09/24 00:58:46 - mmengine - INFO - Epoch(train) [23][3300/4238] lr: 3.3087e-05 eta: 8:22:28 time: 1.0022 data_time: 0.0165 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0818 loss: 1.0818 2022/09/24 01:00:26 - mmengine - INFO - Epoch(train) [23][3400/4238] lr: 3.3087e-05 eta: 8:20:50 time: 1.0018 data_time: 0.0185 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9764 loss: 0.9764 2022/09/24 01:02:06 - mmengine - INFO - Epoch(train) [23][3500/4238] lr: 3.3087e-05 eta: 8:19:12 time: 0.9841 data_time: 0.0171 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1964 loss: 1.1964 2022/09/24 01:03:45 - mmengine - INFO - Epoch(train) [23][3600/4238] lr: 3.3087e-05 eta: 8:17:33 time: 0.9939 data_time: 0.0173 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3223 loss: 1.3223 2022/09/24 01:05:24 - mmengine - INFO - Epoch(train) [23][3700/4238] lr: 3.3087e-05 eta: 8:15:55 time: 0.9827 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2090 loss: 1.2090 2022/09/24 01:06:28 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 01:07:04 - mmengine - INFO - Epoch(train) [23][3800/4238] lr: 3.3087e-05 eta: 8:14:17 time: 0.9941 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3279 loss: 1.3279 2022/09/24 01:08:43 - mmengine - INFO - Epoch(train) [23][3900/4238] lr: 3.3087e-05 eta: 8:12:38 time: 0.9903 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4047 loss: 1.4047 2022/09/24 01:10:22 - mmengine - INFO - Epoch(train) [23][4000/4238] lr: 3.3087e-05 eta: 8:11:00 time: 0.9850 data_time: 0.0174 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4047 loss: 1.4047 2022/09/24 01:12:01 - mmengine - INFO - Epoch(train) [23][4100/4238] lr: 3.3087e-05 eta: 8:09:22 time: 1.0006 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4081 loss: 1.4081 2022/09/24 01:13:41 - mmengine - INFO - Epoch(train) [23][4200/4238] lr: 3.3087e-05 eta: 8:07:44 time: 0.9983 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1321 loss: 1.1321 2022/09/24 01:14:18 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 01:14:18 - mmengine - INFO - Epoch(train) [23][4238/4238] lr: 3.3087e-05 eta: 8:07:24 time: 0.9581 data_time: 0.0175 memory: 68898 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6608 loss: 1.6608 2022/09/24 01:15:59 - mmengine - INFO - Epoch(train) [24][100/4238] lr: 2.5686e-05 eta: 8:05:23 time: 0.9899 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3828 loss: 1.3828 2022/09/24 01:17:38 - mmengine - INFO - Epoch(train) [24][200/4238] lr: 2.5686e-05 eta: 8:03:45 time: 0.9933 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2008 loss: 1.2008 2022/09/24 01:19:17 - mmengine - INFO - Epoch(train) [24][300/4238] lr: 2.5686e-05 eta: 8:02:06 time: 1.0007 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2654 loss: 1.2654 2022/09/24 01:20:56 - mmengine - INFO - Epoch(train) [24][400/4238] lr: 2.5686e-05 eta: 8:00:28 time: 0.9902 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1168 loss: 1.1168 2022/09/24 01:22:35 - mmengine - INFO - Epoch(train) [24][500/4238] lr: 2.5686e-05 eta: 7:58:50 time: 0.9890 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1324 loss: 1.1324 2022/09/24 01:23:01 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 01:24:14 - mmengine - INFO - Epoch(train) [24][600/4238] lr: 2.5686e-05 eta: 7:57:11 time: 0.9847 data_time: 0.0176 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2667 loss: 1.2667 2022/09/24 01:25:53 - mmengine - INFO - Epoch(train) [24][700/4238] lr: 2.5686e-05 eta: 7:55:33 time: 0.9976 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3616 loss: 1.3616 2022/09/24 01:27:32 - mmengine - INFO - Epoch(train) [24][800/4238] lr: 2.5686e-05 eta: 7:53:55 time: 0.9798 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1775 loss: 1.1775 2022/09/24 01:29:11 - mmengine - INFO - Epoch(train) [24][900/4238] lr: 2.5686e-05 eta: 7:52:16 time: 0.9821 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0923 loss: 1.0923 2022/09/24 01:30:49 - mmengine - INFO - Epoch(train) [24][1000/4238] lr: 2.5686e-05 eta: 7:50:38 time: 0.9874 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2570 loss: 1.2570 2022/09/24 01:32:28 - mmengine - INFO - Epoch(train) [24][1100/4238] lr: 2.5686e-05 eta: 7:48:59 time: 0.9874 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1350 loss: 1.1350 2022/09/24 01:34:07 - mmengine - INFO - Epoch(train) [24][1200/4238] lr: 2.5686e-05 eta: 7:47:21 time: 0.9948 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3228 loss: 1.3228 2022/09/24 01:35:47 - mmengine - INFO - Epoch(train) [24][1300/4238] lr: 2.5686e-05 eta: 7:45:43 time: 0.9969 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2271 loss: 1.2271 2022/09/24 01:37:27 - mmengine - INFO - Epoch(train) [24][1400/4238] lr: 2.5686e-05 eta: 7:44:04 time: 1.0066 data_time: 0.0175 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0180 loss: 1.0180 2022/09/24 01:39:06 - mmengine - INFO - Epoch(train) [24][1500/4238] lr: 2.5686e-05 eta: 7:42:26 time: 0.9865 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4437 loss: 1.4437 2022/09/24 01:39:32 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 01:40:46 - mmengine - INFO - Epoch(train) [24][1600/4238] lr: 2.5686e-05 eta: 7:40:48 time: 1.0006 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5529 loss: 1.5529 2022/09/24 01:42:25 - mmengine - INFO - Epoch(train) [24][1700/4238] lr: 2.5686e-05 eta: 7:39:10 time: 0.9911 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5680 loss: 1.5680 2022/09/24 01:44:04 - mmengine - INFO - Epoch(train) [24][1800/4238] lr: 2.5686e-05 eta: 7:37:31 time: 0.9938 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3101 loss: 1.3101 2022/09/24 01:45:43 - mmengine - INFO - Epoch(train) [24][1900/4238] lr: 2.5686e-05 eta: 7:35:53 time: 0.9857 data_time: 0.0173 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3827 loss: 1.3827 2022/09/24 01:47:21 - mmengine - INFO - Epoch(train) [24][2000/4238] lr: 2.5686e-05 eta: 7:34:14 time: 0.9938 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2544 loss: 1.2544 2022/09/24 01:49:01 - mmengine - INFO - Epoch(train) [24][2100/4238] lr: 2.5686e-05 eta: 7:32:36 time: 0.9999 data_time: 0.0173 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2000 loss: 1.2000 2022/09/24 01:50:39 - mmengine - INFO - Epoch(train) [24][2200/4238] lr: 2.5686e-05 eta: 7:30:58 time: 0.9850 data_time: 0.0162 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3727 loss: 1.3727 2022/09/24 01:52:19 - mmengine - INFO - Epoch(train) [24][2300/4238] lr: 2.5686e-05 eta: 7:29:19 time: 0.9853 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2737 loss: 1.2737 2022/09/24 01:53:57 - mmengine - INFO - Epoch(train) [24][2400/4238] lr: 2.5686e-05 eta: 7:27:41 time: 0.9857 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2929 loss: 1.2929 2022/09/24 01:55:36 - mmengine - INFO - Epoch(train) [24][2500/4238] lr: 2.5686e-05 eta: 7:26:02 time: 1.0061 data_time: 0.0164 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9325 loss: 0.9325 2022/09/24 01:56:02 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 01:57:15 - mmengine - INFO - Epoch(train) [24][2600/4238] lr: 2.5686e-05 eta: 7:24:24 time: 0.9967 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9753 loss: 0.9753 2022/09/24 01:58:54 - mmengine - INFO - Epoch(train) [24][2700/4238] lr: 2.5686e-05 eta: 7:22:46 time: 0.9881 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2181 loss: 1.2181 2022/09/24 02:00:35 - mmengine - INFO - Epoch(train) [24][2800/4238] lr: 2.5686e-05 eta: 7:21:08 time: 0.9865 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3160 loss: 1.3160 2022/09/24 02:02:14 - mmengine - INFO - Epoch(train) [24][2900/4238] lr: 2.5686e-05 eta: 7:19:29 time: 1.0007 data_time: 0.0173 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6835 loss: 1.6835 2022/09/24 02:03:53 - mmengine - INFO - Epoch(train) [24][3000/4238] lr: 2.5686e-05 eta: 7:17:51 time: 0.9889 data_time: 0.0176 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1003 loss: 1.1003 2022/09/24 02:05:32 - mmengine - INFO - Epoch(train) [24][3100/4238] lr: 2.5686e-05 eta: 7:16:13 time: 0.9993 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3417 loss: 1.3417 2022/09/24 02:07:12 - mmengine - INFO - Epoch(train) [24][3200/4238] lr: 2.5686e-05 eta: 7:14:34 time: 1.0002 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5710 loss: 1.5710 2022/09/24 02:08:52 - mmengine - INFO - Epoch(train) [24][3300/4238] lr: 2.5686e-05 eta: 7:12:56 time: 0.9875 data_time: 0.0175 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2713 loss: 1.2713 2022/09/24 02:10:31 - mmengine - INFO - Epoch(train) [24][3400/4238] lr: 2.5686e-05 eta: 7:11:18 time: 0.9870 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0399 loss: 1.0399 2022/09/24 02:12:10 - mmengine - INFO - Epoch(train) [24][3500/4238] lr: 2.5686e-05 eta: 7:09:39 time: 0.9795 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3559 loss: 1.3559 2022/09/24 02:12:36 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 02:13:55 - mmengine - INFO - Epoch(train) [24][3600/4238] lr: 2.5686e-05 eta: 7:08:02 time: 1.0015 data_time: 0.0178 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2346 loss: 1.2346 2022/09/24 02:15:34 - mmengine - INFO - Epoch(train) [24][3700/4238] lr: 2.5686e-05 eta: 7:06:24 time: 0.9851 data_time: 0.0169 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5012 loss: 1.5012 2022/09/24 02:17:13 - mmengine - INFO - Epoch(train) [24][3800/4238] lr: 2.5686e-05 eta: 7:04:46 time: 0.9880 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3569 loss: 1.3569 2022/09/24 02:18:52 - mmengine - INFO - Epoch(train) [24][3900/4238] lr: 2.5686e-05 eta: 7:03:07 time: 1.0015 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0927 loss: 1.0927 2022/09/24 02:20:33 - mmengine - INFO - Epoch(train) [24][4000/4238] lr: 2.5686e-05 eta: 7:01:29 time: 0.9992 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2675 loss: 1.2675 2022/09/24 02:22:12 - mmengine - INFO - Epoch(train) [24][4100/4238] lr: 2.5686e-05 eta: 6:59:51 time: 0.9932 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9334 loss: 0.9334 2022/09/24 02:23:52 - mmengine - INFO - Epoch(train) [24][4200/4238] lr: 2.5686e-05 eta: 6:58:13 time: 0.9998 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0439 loss: 1.0439 2022/09/24 02:24:30 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 02:24:30 - mmengine - INFO - Epoch(train) [24][4238/4238] lr: 2.5686e-05 eta: 6:57:53 time: 0.9981 data_time: 0.0181 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1448 loss: 1.1448 2022/09/24 02:24:30 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/09/24 02:25:22 - mmengine - INFO - Epoch(val) [24][100/273] eta: 0:01:09 time: 0.3996 data_time: 0.0094 memory: 14236 2022/09/24 02:26:02 - mmengine - INFO - Epoch(val) [24][200/273] eta: 0:00:29 time: 0.3997 data_time: 0.0094 memory: 14236 2022/09/24 02:26:35 - mmengine - INFO - Epoch(val) [24][273/273] acc/top1: 0.6814 acc/top5: 0.8735 acc/mean1: 0.6813 2022/09/24 02:26:35 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/mmaction2/work_dirs/swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb/best_acc/top1_epoch_21.pth is removed 2022/09/24 02:26:38 - mmengine - INFO - The best checkpoint with 0.6814 acc/top1 at 24 epoch is saved to best_acc/top1_epoch_24.pth. 2022/09/24 02:28:18 - mmengine - INFO - Epoch(train) [25][100/4238] lr: 1.9098e-05 eta: 6:55:53 time: 1.0000 data_time: 0.0221 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3869 loss: 1.3869 2022/09/24 02:29:59 - mmengine - INFO - Epoch(train) [25][200/4238] lr: 1.9098e-05 eta: 6:54:15 time: 1.0013 data_time: 0.0181 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2202 loss: 1.2202 2022/09/24 02:31:27 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 02:31:38 - mmengine - INFO - Epoch(train) [25][300/4238] lr: 1.9098e-05 eta: 6:52:37 time: 0.9863 data_time: 0.0171 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0114 loss: 1.0114 2022/09/24 02:33:17 - mmengine - INFO - Epoch(train) [25][400/4238] lr: 1.9098e-05 eta: 6:50:58 time: 0.9868 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1266 loss: 1.1266 2022/09/24 02:34:56 - mmengine - INFO - Epoch(train) [25][500/4238] lr: 1.9098e-05 eta: 6:49:20 time: 0.9868 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8753 loss: 0.8753 2022/09/24 02:36:35 - mmengine - INFO - Epoch(train) [25][600/4238] lr: 1.9098e-05 eta: 6:47:41 time: 0.9843 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0659 loss: 1.0659 2022/09/24 02:38:15 - mmengine - INFO - Epoch(train) [25][700/4238] lr: 1.9098e-05 eta: 6:46:03 time: 0.9992 data_time: 0.0172 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1609 loss: 1.1609 2022/09/24 02:39:56 - mmengine - INFO - Epoch(train) [25][800/4238] lr: 1.9098e-05 eta: 6:44:25 time: 1.0027 data_time: 0.0175 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1491 loss: 1.1491 2022/09/24 02:41:35 - mmengine - INFO - Epoch(train) [25][900/4238] lr: 1.9098e-05 eta: 6:42:47 time: 0.9853 data_time: 0.0191 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6514 loss: 1.6514 2022/09/24 02:43:15 - mmengine - INFO - Epoch(train) [25][1000/4238] lr: 1.9098e-05 eta: 6:41:09 time: 1.0017 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3471 loss: 1.3471 2022/09/24 02:44:55 - mmengine - INFO - Epoch(train) [25][1100/4238] lr: 1.9098e-05 eta: 6:39:30 time: 0.9935 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9167 loss: 0.9167 2022/09/24 02:46:34 - mmengine - INFO - Epoch(train) [25][1200/4238] lr: 1.9098e-05 eta: 6:37:52 time: 1.0003 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4167 loss: 1.4167 2022/09/24 02:48:02 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 02:48:14 - mmengine - INFO - Epoch(train) [25][1300/4238] lr: 1.9098e-05 eta: 6:36:14 time: 0.9840 data_time: 0.0173 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1385 loss: 1.1385 2022/09/24 02:49:54 - mmengine - INFO - Epoch(train) [25][1400/4238] lr: 1.9098e-05 eta: 6:34:35 time: 0.9996 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2161 loss: 1.2161 2022/09/24 02:51:34 - mmengine - INFO - Epoch(train) [25][1500/4238] lr: 1.9098e-05 eta: 6:32:57 time: 0.9996 data_time: 0.0179 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0258 loss: 1.0258 2022/09/24 02:53:14 - mmengine - INFO - Epoch(train) [25][1600/4238] lr: 1.9098e-05 eta: 6:31:19 time: 0.9934 data_time: 0.0176 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0092 loss: 1.0092 2022/09/24 02:54:53 - mmengine - INFO - Epoch(train) [25][1700/4238] lr: 1.9098e-05 eta: 6:29:41 time: 0.9928 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3675 loss: 1.3675 2022/09/24 02:56:33 - mmengine - INFO - Epoch(train) [25][1800/4238] lr: 1.9098e-05 eta: 6:28:02 time: 1.0039 data_time: 0.0175 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1532 loss: 1.1532 2022/09/24 02:58:12 - mmengine - INFO - Epoch(train) [25][1900/4238] lr: 1.9098e-05 eta: 6:26:24 time: 0.9931 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2773 loss: 1.2773 2022/09/24 02:59:51 - mmengine - INFO - Epoch(train) [25][2000/4238] lr: 1.9098e-05 eta: 6:24:46 time: 0.9934 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3068 loss: 1.3068 2022/09/24 03:01:30 - mmengine - INFO - Epoch(train) [25][2100/4238] lr: 1.9098e-05 eta: 6:23:07 time: 0.9808 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2331 loss: 1.2331 2022/09/24 03:03:09 - mmengine - INFO - Epoch(train) [25][2200/4238] lr: 1.9098e-05 eta: 6:21:29 time: 0.9865 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1592 loss: 1.1592 2022/09/24 03:04:36 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 03:04:48 - mmengine - INFO - Epoch(train) [25][2300/4238] lr: 1.9098e-05 eta: 6:19:50 time: 0.9830 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4133 loss: 1.4133 2022/09/24 03:06:28 - mmengine - INFO - Epoch(train) [25][2400/4238] lr: 1.9098e-05 eta: 6:18:12 time: 0.9891 data_time: 0.0170 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0842 loss: 1.0842 2022/09/24 03:08:06 - mmengine - INFO - Epoch(train) [25][2500/4238] lr: 1.9098e-05 eta: 6:16:33 time: 0.9800 data_time: 0.0174 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0969 loss: 1.0969 2022/09/24 03:09:45 - mmengine - INFO - Epoch(train) [25][2600/4238] lr: 1.9098e-05 eta: 6:14:55 time: 0.9828 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0071 loss: 1.0071 2022/09/24 03:11:24 - mmengine - INFO - Epoch(train) [25][2700/4238] lr: 1.9098e-05 eta: 6:13:16 time: 0.9834 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3434 loss: 1.3434 2022/09/24 03:13:03 - mmengine - INFO - Epoch(train) [25][2800/4238] lr: 1.9098e-05 eta: 6:11:38 time: 0.9893 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1364 loss: 1.1364 2022/09/24 03:14:42 - mmengine - INFO - Epoch(train) [25][2900/4238] lr: 1.9098e-05 eta: 6:10:00 time: 0.9814 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9447 loss: 0.9447 2022/09/24 03:16:22 - mmengine - INFO - Epoch(train) [25][3000/4238] lr: 1.9098e-05 eta: 6:08:21 time: 0.9816 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8962 loss: 1.8962 2022/09/24 03:18:01 - mmengine - INFO - Epoch(train) [25][3100/4238] lr: 1.9098e-05 eta: 6:06:43 time: 0.9853 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4711 loss: 1.4711 2022/09/24 03:19:40 - mmengine - INFO - Epoch(train) [25][3200/4238] lr: 1.9098e-05 eta: 6:05:04 time: 0.9956 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3937 loss: 1.3937 2022/09/24 03:21:07 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 03:21:19 - mmengine - INFO - Epoch(train) [25][3300/4238] lr: 1.9098e-05 eta: 6:03:26 time: 0.9882 data_time: 0.0171 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1794 loss: 1.1794 2022/09/24 03:22:58 - mmengine - INFO - Epoch(train) [25][3400/4238] lr: 1.9098e-05 eta: 6:01:48 time: 0.9952 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1201 loss: 1.1201 2022/09/24 03:24:38 - mmengine - INFO - Epoch(train) [25][3500/4238] lr: 1.9098e-05 eta: 6:00:09 time: 0.9914 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1102 loss: 1.1102 2022/09/24 03:26:17 - mmengine - INFO - Epoch(train) [25][3600/4238] lr: 1.9098e-05 eta: 5:58:31 time: 0.9989 data_time: 0.0174 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4745 loss: 1.4745 2022/09/24 03:27:56 - mmengine - INFO - Epoch(train) [25][3700/4238] lr: 1.9098e-05 eta: 5:56:52 time: 0.9928 data_time: 0.0177 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3219 loss: 1.3219 2022/09/24 03:29:36 - mmengine - INFO - Epoch(train) [25][3800/4238] lr: 1.9098e-05 eta: 5:55:14 time: 1.0003 data_time: 0.0178 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3953 loss: 1.3953 2022/09/24 03:31:16 - mmengine - INFO - Epoch(train) [25][3900/4238] lr: 1.9098e-05 eta: 5:53:36 time: 0.9892 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4199 loss: 1.4199 2022/09/24 03:32:56 - mmengine - INFO - Epoch(train) [25][4000/4238] lr: 1.9098e-05 eta: 5:51:57 time: 0.9986 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3682 loss: 1.3682 2022/09/24 03:34:35 - mmengine - INFO - Epoch(train) [25][4100/4238] lr: 1.9098e-05 eta: 5:50:19 time: 0.9961 data_time: 0.0178 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3480 loss: 1.3480 2022/09/24 03:36:15 - mmengine - INFO - Epoch(train) [25][4200/4238] lr: 1.9098e-05 eta: 5:48:41 time: 0.9998 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2727 loss: 1.2727 2022/09/24 03:36:52 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 03:36:52 - mmengine - INFO - Epoch(train) [25][4238/4238] lr: 1.9098e-05 eta: 5:48:21 time: 0.9533 data_time: 0.0182 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2846 loss: 1.2846 2022/09/24 03:37:44 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 03:38:33 - mmengine - INFO - Epoch(train) [26][100/4238] lr: 1.3397e-05 eta: 5:46:22 time: 0.9864 data_time: 0.0172 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3698 loss: 1.3698 2022/09/24 03:40:13 - mmengine - INFO - Epoch(train) [26][200/4238] lr: 1.3397e-05 eta: 5:44:43 time: 0.9956 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3899 loss: 1.3899 2022/09/24 03:41:52 - mmengine - INFO - Epoch(train) [26][300/4238] lr: 1.3397e-05 eta: 5:43:05 time: 0.9843 data_time: 0.0178 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2842 loss: 1.2842 2022/09/24 03:43:31 - mmengine - INFO - Epoch(train) [26][400/4238] lr: 1.3397e-05 eta: 5:41:26 time: 0.9915 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9650 loss: 0.9650 2022/09/24 03:45:10 - mmengine - INFO - Epoch(train) [26][500/4238] lr: 1.3397e-05 eta: 5:39:48 time: 0.9993 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3823 loss: 1.3823 2022/09/24 03:46:50 - mmengine - INFO - Epoch(train) [26][600/4238] lr: 1.3397e-05 eta: 5:38:10 time: 0.9915 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1306 loss: 1.1306 2022/09/24 03:48:30 - mmengine - INFO - Epoch(train) [26][700/4238] lr: 1.3397e-05 eta: 5:36:32 time: 1.0056 data_time: 0.0184 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2771 loss: 1.2771 2022/09/24 03:50:10 - mmengine - INFO - Epoch(train) [26][800/4238] lr: 1.3397e-05 eta: 5:34:53 time: 1.0016 data_time: 0.0172 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3476 loss: 1.3476 2022/09/24 03:51:50 - mmengine - INFO - Epoch(train) [26][900/4238] lr: 1.3397e-05 eta: 5:33:15 time: 1.0046 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3524 loss: 1.3524 2022/09/24 03:53:31 - mmengine - INFO - Epoch(train) [26][1000/4238] lr: 1.3397e-05 eta: 5:31:37 time: 0.9925 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4826 loss: 1.4826 2022/09/24 03:54:20 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 03:55:10 - mmengine - INFO - Epoch(train) [26][1100/4238] lr: 1.3397e-05 eta: 5:29:58 time: 0.9859 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2376 loss: 1.2376 2022/09/24 03:56:50 - mmengine - INFO - Epoch(train) [26][1200/4238] lr: 1.3397e-05 eta: 5:28:20 time: 0.9976 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0819 loss: 1.0819 2022/09/24 03:58:29 - mmengine - INFO - Epoch(train) [26][1300/4238] lr: 1.3397e-05 eta: 5:26:42 time: 0.9796 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9610 loss: 0.9610 2022/09/24 04:00:09 - mmengine - INFO - Epoch(train) [26][1400/4238] lr: 1.3397e-05 eta: 5:25:03 time: 0.9961 data_time: 0.0173 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8796 loss: 0.8796 2022/09/24 04:01:49 - mmengine - INFO - Epoch(train) [26][1500/4238] lr: 1.3397e-05 eta: 5:23:25 time: 1.0030 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0315 loss: 1.0315 2022/09/24 04:03:29 - mmengine - INFO - Epoch(train) [26][1600/4238] lr: 1.3397e-05 eta: 5:21:47 time: 0.9962 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9863 loss: 0.9863 2022/09/24 04:05:08 - mmengine - INFO - Epoch(train) [26][1700/4238] lr: 1.3397e-05 eta: 5:20:08 time: 0.9933 data_time: 0.0164 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2978 loss: 1.2978 2022/09/24 04:06:47 - mmengine - INFO - Epoch(train) [26][1800/4238] lr: 1.3397e-05 eta: 5:18:30 time: 0.9862 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9714 loss: 0.9714 2022/09/24 04:08:26 - mmengine - INFO - Epoch(train) [26][1900/4238] lr: 1.3397e-05 eta: 5:16:51 time: 0.9897 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0662 loss: 1.0662 2022/09/24 04:10:05 - mmengine - INFO - Epoch(train) [26][2000/4238] lr: 1.3397e-05 eta: 5:15:13 time: 0.9846 data_time: 0.0176 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9731 loss: 0.9731 2022/09/24 04:10:55 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 04:11:44 - mmengine - INFO - Epoch(train) [26][2100/4238] lr: 1.3397e-05 eta: 5:13:34 time: 0.9836 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3953 loss: 1.3953 2022/09/24 04:13:23 - mmengine - INFO - Epoch(train) [26][2200/4238] lr: 1.3397e-05 eta: 5:11:56 time: 0.9915 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3990 loss: 1.3990 2022/09/24 04:15:02 - mmengine - INFO - Epoch(train) [26][2300/4238] lr: 1.3397e-05 eta: 5:10:17 time: 0.9833 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2931 loss: 1.2931 2022/09/24 04:16:41 - mmengine - INFO - Epoch(train) [26][2400/4238] lr: 1.3397e-05 eta: 5:08:39 time: 0.9921 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1795 loss: 1.1795 2022/09/24 04:18:20 - mmengine - INFO - Epoch(train) [26][2500/4238] lr: 1.3397e-05 eta: 5:07:00 time: 0.9891 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0529 loss: 1.0529 2022/09/24 04:19:59 - mmengine - INFO - Epoch(train) [26][2600/4238] lr: 1.3397e-05 eta: 5:05:22 time: 0.9822 data_time: 0.0167 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1257 loss: 1.1257 2022/09/24 04:21:38 - mmengine - INFO - Epoch(train) [26][2700/4238] lr: 1.3397e-05 eta: 5:03:43 time: 0.9836 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1900 loss: 1.1900 2022/09/24 04:23:17 - mmengine - INFO - Epoch(train) [26][2800/4238] lr: 1.3397e-05 eta: 5:02:05 time: 0.9902 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3572 loss: 1.3572 2022/09/24 04:24:56 - mmengine - INFO - Epoch(train) [26][2900/4238] lr: 1.3397e-05 eta: 5:00:26 time: 0.9928 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2830 loss: 1.2830 2022/09/24 04:26:35 - mmengine - INFO - Epoch(train) [26][3000/4238] lr: 1.3397e-05 eta: 4:58:48 time: 0.9876 data_time: 0.0175 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5778 loss: 1.5778 2022/09/24 04:27:24 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 04:28:14 - mmengine - INFO - Epoch(train) [26][3100/4238] lr: 1.3397e-05 eta: 4:57:09 time: 0.9962 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1169 loss: 1.1169 2022/09/24 04:29:53 - mmengine - INFO - Epoch(train) [26][3200/4238] lr: 1.3397e-05 eta: 4:55:31 time: 0.9991 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2821 loss: 1.2821 2022/09/24 04:31:32 - mmengine - INFO - Epoch(train) [26][3300/4238] lr: 1.3397e-05 eta: 4:53:52 time: 0.9996 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4390 loss: 1.4390 2022/09/24 04:33:12 - mmengine - INFO - Epoch(train) [26][3400/4238] lr: 1.3397e-05 eta: 4:52:14 time: 0.9917 data_time: 0.0176 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0258 loss: 1.0258 2022/09/24 04:34:52 - mmengine - INFO - Epoch(train) [26][3500/4238] lr: 1.3397e-05 eta: 4:50:36 time: 1.0014 data_time: 0.0174 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0446 loss: 1.0446 2022/09/24 04:36:32 - mmengine - INFO - Epoch(train) [26][3600/4238] lr: 1.3397e-05 eta: 4:48:57 time: 1.0056 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2416 loss: 1.2416 2022/09/24 04:38:11 - mmengine - INFO - Epoch(train) [26][3700/4238] lr: 1.3397e-05 eta: 4:47:19 time: 0.9805 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3711 loss: 1.3711 2022/09/24 04:39:51 - mmengine - INFO - Epoch(train) [26][3800/4238] lr: 1.3397e-05 eta: 4:45:41 time: 0.9990 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/09/24 04:41:30 - mmengine - INFO - Epoch(train) [26][3900/4238] lr: 1.3397e-05 eta: 4:44:02 time: 0.9889 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9376 loss: 0.9376 2022/09/24 04:43:09 - mmengine - INFO - Epoch(train) [26][4000/4238] lr: 1.3397e-05 eta: 4:42:24 time: 0.9855 data_time: 0.0175 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2313 loss: 1.2313 2022/09/24 04:43:59 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 04:44:48 - mmengine - INFO - Epoch(train) [26][4100/4238] lr: 1.3397e-05 eta: 4:40:45 time: 0.9836 data_time: 0.0180 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2039 loss: 1.2039 2022/09/24 04:46:28 - mmengine - INFO - Epoch(train) [26][4200/4238] lr: 1.3397e-05 eta: 4:39:07 time: 0.9957 data_time: 0.0173 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2013 loss: 1.2013 2022/09/24 04:47:05 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 04:47:05 - mmengine - INFO - Epoch(train) [26][4238/4238] lr: 1.3397e-05 eta: 4:38:47 time: 0.9717 data_time: 0.0188 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9630 loss: 0.9630 2022/09/24 04:48:46 - mmengine - INFO - Epoch(train) [27][100/4238] lr: 8.6455e-06 eta: 4:36:48 time: 0.9936 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1824 loss: 1.1824 2022/09/24 04:50:26 - mmengine - INFO - Epoch(train) [27][200/4238] lr: 8.6455e-06 eta: 4:35:10 time: 0.9892 data_time: 0.0165 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7786 loss: 0.7786 2022/09/24 04:52:05 - mmengine - INFO - Epoch(train) [27][300/4238] lr: 8.6455e-06 eta: 4:33:31 time: 0.9806 data_time: 0.0170 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7541 loss: 0.7541 2022/09/24 04:53:44 - mmengine - INFO - Epoch(train) [27][400/4238] lr: 8.6455e-06 eta: 4:31:53 time: 0.9829 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9999 loss: 0.9999 2022/09/24 04:55:23 - mmengine - INFO - Epoch(train) [27][500/4238] lr: 8.6455e-06 eta: 4:30:14 time: 0.9901 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3609 loss: 1.3609 2022/09/24 04:57:02 - mmengine - INFO - Epoch(train) [27][600/4238] lr: 8.6455e-06 eta: 4:28:36 time: 0.9814 data_time: 0.0159 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2371 loss: 1.2371 2022/09/24 04:58:40 - mmengine - INFO - Epoch(train) [27][700/4238] lr: 8.6455e-06 eta: 4:26:57 time: 0.9853 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1127 loss: 1.1127 2022/09/24 05:00:20 - mmengine - INFO - Epoch(train) [27][800/4238] lr: 8.6455e-06 eta: 4:25:19 time: 0.9970 data_time: 0.0172 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4356 loss: 1.4356 2022/09/24 05:00:32 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 05:01:59 - mmengine - INFO - Epoch(train) [27][900/4238] lr: 8.6455e-06 eta: 4:23:40 time: 0.9998 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2576 loss: 1.2576 2022/09/24 05:03:38 - mmengine - INFO - Epoch(train) [27][1000/4238] lr: 8.6455e-06 eta: 4:22:02 time: 0.9948 data_time: 0.0172 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0381 loss: 1.0381 2022/09/24 05:05:17 - mmengine - INFO - Epoch(train) [27][1100/4238] lr: 8.6455e-06 eta: 4:20:23 time: 0.9815 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1867 loss: 1.1867 2022/09/24 05:06:56 - mmengine - INFO - Epoch(train) [27][1200/4238] lr: 8.6455e-06 eta: 4:18:45 time: 0.9825 data_time: 0.0174 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2079 loss: 1.2079 2022/09/24 05:08:35 - mmengine - INFO - Epoch(train) [27][1300/4238] lr: 8.6455e-06 eta: 4:17:06 time: 0.9851 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0824 loss: 1.0824 2022/09/24 05:10:14 - mmengine - INFO - Epoch(train) [27][1400/4238] lr: 8.6455e-06 eta: 4:15:28 time: 0.9977 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2727 loss: 1.2727 2022/09/24 05:11:53 - mmengine - INFO - Epoch(train) [27][1500/4238] lr: 8.6455e-06 eta: 4:13:49 time: 0.9879 data_time: 0.0159 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3318 loss: 1.3318 2022/09/24 05:13:32 - mmengine - INFO - Epoch(train) [27][1600/4238] lr: 8.6455e-06 eta: 4:12:11 time: 0.9850 data_time: 0.0174 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9995 loss: 0.9995 2022/09/24 05:15:11 - mmengine - INFO - Epoch(train) [27][1700/4238] lr: 8.6455e-06 eta: 4:10:32 time: 0.9835 data_time: 0.0168 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3525 loss: 1.3525 2022/09/24 05:16:50 - mmengine - INFO - Epoch(train) [27][1800/4238] lr: 8.6455e-06 eta: 4:08:54 time: 0.9885 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1567 loss: 1.1567 2022/09/24 05:17:02 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 05:18:29 - mmengine - INFO - Epoch(train) [27][1900/4238] lr: 8.6455e-06 eta: 4:07:15 time: 0.9905 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1208 loss: 1.1208 2022/09/24 05:20:08 - mmengine - INFO - Epoch(train) [27][2000/4238] lr: 8.6455e-06 eta: 4:05:37 time: 0.9952 data_time: 0.0178 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3198 loss: 1.3198 2022/09/24 05:21:47 - mmengine - INFO - Epoch(train) [27][2100/4238] lr: 8.6455e-06 eta: 4:03:58 time: 0.9867 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2078 loss: 1.2078 2022/09/24 05:23:27 - mmengine - INFO - Epoch(train) [27][2200/4238] lr: 8.6455e-06 eta: 4:02:20 time: 1.0040 data_time: 0.0171 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2659 loss: 1.2659 2022/09/24 05:25:08 - mmengine - INFO - Epoch(train) [27][2300/4238] lr: 8.6455e-06 eta: 4:00:42 time: 1.0018 data_time: 0.0170 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1050 loss: 1.1050 2022/09/24 05:26:47 - mmengine - INFO - Epoch(train) [27][2400/4238] lr: 8.6455e-06 eta: 3:59:03 time: 0.9797 data_time: 0.0172 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1571 loss: 1.1571 2022/09/24 05:28:26 - mmengine - INFO - Epoch(train) [27][2500/4238] lr: 8.6455e-06 eta: 3:57:25 time: 0.9968 data_time: 0.0174 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9918 loss: 0.9918 2022/09/24 05:30:05 - mmengine - INFO - Epoch(train) [27][2600/4238] lr: 8.6455e-06 eta: 3:55:46 time: 0.9814 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2929 loss: 1.2929 2022/09/24 05:31:44 - mmengine - INFO - Epoch(train) [27][2700/4238] lr: 8.6455e-06 eta: 3:54:08 time: 0.9787 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1636 loss: 1.1636 2022/09/24 05:33:23 - mmengine - INFO - Epoch(train) [27][2800/4238] lr: 8.6455e-06 eta: 3:52:29 time: 0.9934 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9767 loss: 0.9767 2022/09/24 05:33:35 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 05:35:02 - mmengine - INFO - Epoch(train) [27][2900/4238] lr: 8.6455e-06 eta: 3:50:51 time: 0.9839 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3033 loss: 1.3033 2022/09/24 05:36:41 - mmengine - INFO - Epoch(train) [27][3000/4238] lr: 8.6455e-06 eta: 3:49:12 time: 0.9889 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3317 loss: 1.3317 2022/09/24 05:38:20 - mmengine - INFO - Epoch(train) [27][3100/4238] lr: 8.6455e-06 eta: 3:47:34 time: 0.9864 data_time: 0.0171 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2080 loss: 1.2080 2022/09/24 05:39:59 - mmengine - INFO - Epoch(train) [27][3200/4238] lr: 8.6455e-06 eta: 3:45:55 time: 0.9846 data_time: 0.0174 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2756 loss: 1.2756 2022/09/24 05:41:38 - mmengine - INFO - Epoch(train) [27][3300/4238] lr: 8.6455e-06 eta: 3:44:16 time: 0.9854 data_time: 0.0173 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2336 loss: 1.2336 2022/09/24 05:43:17 - mmengine - INFO - Epoch(train) [27][3400/4238] lr: 8.6455e-06 eta: 3:42:38 time: 1.0012 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4820 loss: 1.4820 2022/09/24 05:44:56 - mmengine - INFO - Epoch(train) [27][3500/4238] lr: 8.6455e-06 eta: 3:40:59 time: 0.9883 data_time: 0.0173 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9278 loss: 0.9278 2022/09/24 05:46:35 - mmengine - INFO - Epoch(train) [27][3600/4238] lr: 8.6455e-06 eta: 3:39:21 time: 0.9897 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2981 loss: 1.2981 2022/09/24 05:48:15 - mmengine - INFO - Epoch(train) [27][3700/4238] lr: 8.6455e-06 eta: 3:37:42 time: 1.0107 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1281 loss: 1.1281 2022/09/24 05:49:55 - mmengine - INFO - Epoch(train) [27][3800/4238] lr: 8.6455e-06 eta: 3:36:04 time: 1.0012 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1836 loss: 1.1836 2022/09/24 05:50:07 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 05:51:34 - mmengine - INFO - Epoch(train) [27][3900/4238] lr: 8.6455e-06 eta: 3:34:26 time: 0.9945 data_time: 0.0171 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9427 loss: 0.9427 2022/09/24 05:53:13 - mmengine - INFO - Epoch(train) [27][4000/4238] lr: 8.6455e-06 eta: 3:32:47 time: 0.9896 data_time: 0.0164 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0325 loss: 1.0325 2022/09/24 05:54:52 - mmengine - INFO - Epoch(train) [27][4100/4238] lr: 8.6455e-06 eta: 3:31:09 time: 0.9978 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1692 loss: 1.1692 2022/09/24 05:56:31 - mmengine - INFO - Epoch(train) [27][4200/4238] lr: 8.6455e-06 eta: 3:29:30 time: 0.9998 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2878 loss: 1.2878 2022/09/24 05:57:09 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 05:57:09 - mmengine - INFO - Epoch(train) [27][4238/4238] lr: 8.6455e-06 eta: 3:29:10 time: 0.9835 data_time: 0.0179 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1329 loss: 1.1329 2022/09/24 05:57:09 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/09/24 05:58:02 - mmengine - INFO - Epoch(val) [27][100/273] eta: 0:01:09 time: 0.3996 data_time: 0.0094 memory: 14236 2022/09/24 05:58:42 - mmengine - INFO - Epoch(val) [27][200/273] eta: 0:00:29 time: 0.4012 data_time: 0.0103 memory: 14236 2022/09/24 05:59:14 - mmengine - INFO - Epoch(val) [27][273/273] acc/top1: 0.6931 acc/top5: 0.8788 acc/mean1: 0.6930 2022/09/24 05:59:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/mmaction2/work_dirs/swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb/best_acc/top1_epoch_24.pth is removed 2022/09/24 05:59:18 - mmengine - INFO - The best checkpoint with 0.6931 acc/top1 at 27 epoch is saved to best_acc/top1_epoch_27.pth. 2022/09/24 06:00:59 - mmengine - INFO - Epoch(train) [28][100/4238] lr: 4.8943e-06 eta: 3:27:12 time: 0.9875 data_time: 0.0175 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2607 loss: 1.2607 2022/09/24 06:02:38 - mmengine - INFO - Epoch(train) [28][200/4238] lr: 4.8943e-06 eta: 3:25:34 time: 0.9827 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1935 loss: 1.1935 2022/09/24 06:04:16 - mmengine - INFO - Epoch(train) [28][300/4238] lr: 4.8943e-06 eta: 3:23:55 time: 0.9848 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0995 loss: 1.0995 2022/09/24 06:05:55 - mmengine - INFO - Epoch(train) [28][400/4238] lr: 4.8943e-06 eta: 3:22:17 time: 0.9823 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0305 loss: 1.0305 2022/09/24 06:07:33 - mmengine - INFO - Epoch(train) [28][500/4238] lr: 4.8943e-06 eta: 3:20:38 time: 0.9854 data_time: 0.0174 memory: 68898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.3602 loss: 1.3602 2022/09/24 06:08:51 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 06:09:16 - mmengine - INFO - Epoch(train) [28][600/4238] lr: 4.8943e-06 eta: 3:19:00 time: 0.9838 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1873 loss: 1.1873 2022/09/24 06:10:55 - mmengine - INFO - Epoch(train) [28][700/4238] lr: 4.8943e-06 eta: 3:17:21 time: 0.9790 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4077 loss: 1.4077 2022/09/24 06:12:34 - mmengine - INFO - Epoch(train) [28][800/4238] lr: 4.8943e-06 eta: 3:15:43 time: 0.9837 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1052 loss: 1.1052 2022/09/24 06:14:12 - mmengine - INFO - Epoch(train) [28][900/4238] lr: 4.8943e-06 eta: 3:14:04 time: 0.9884 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1391 loss: 1.1391 2022/09/24 06:15:51 - mmengine - INFO - Epoch(train) [28][1000/4238] lr: 4.8943e-06 eta: 3:12:26 time: 0.9802 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2401 loss: 1.2401 2022/09/24 06:17:29 - mmengine - INFO - Epoch(train) [28][1100/4238] lr: 4.8943e-06 eta: 3:10:47 time: 0.9924 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2021 loss: 1.2021 2022/09/24 06:19:09 - mmengine - INFO - Epoch(train) [28][1200/4238] lr: 4.8943e-06 eta: 3:09:09 time: 0.9905 data_time: 0.0179 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8631 loss: 0.8631 2022/09/24 06:20:47 - mmengine - INFO - Epoch(train) [28][1300/4238] lr: 4.8943e-06 eta: 3:07:30 time: 0.9810 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0762 loss: 1.0762 2022/09/24 06:22:26 - mmengine - INFO - Epoch(train) [28][1400/4238] lr: 4.8943e-06 eta: 3:05:52 time: 0.9857 data_time: 0.0169 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1720 loss: 1.1720 2022/09/24 06:24:05 - mmengine - INFO - Epoch(train) [28][1500/4238] lr: 4.8943e-06 eta: 3:04:13 time: 0.9825 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0976 loss: 1.0976 2022/09/24 06:25:18 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 06:25:44 - mmengine - INFO - Epoch(train) [28][1600/4238] lr: 4.8943e-06 eta: 3:02:34 time: 0.9828 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1485 loss: 1.1485 2022/09/24 06:27:23 - mmengine - INFO - Epoch(train) [28][1700/4238] lr: 4.8943e-06 eta: 3:00:56 time: 0.9858 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3500 loss: 1.3500 2022/09/24 06:29:02 - mmengine - INFO - Epoch(train) [28][1800/4238] lr: 4.8943e-06 eta: 2:59:17 time: 0.9866 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1952 loss: 1.1952 2022/09/24 06:30:41 - mmengine - INFO - Epoch(train) [28][1900/4238] lr: 4.8943e-06 eta: 2:57:39 time: 0.9851 data_time: 0.0163 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3743 loss: 1.3743 2022/09/24 06:32:19 - mmengine - INFO - Epoch(train) [28][2000/4238] lr: 4.8943e-06 eta: 2:56:00 time: 0.9842 data_time: 0.0173 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9633 loss: 0.9633 2022/09/24 06:33:58 - mmengine - INFO - Epoch(train) [28][2100/4238] lr: 4.8943e-06 eta: 2:54:22 time: 0.9870 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1205 loss: 1.1205 2022/09/24 06:35:38 - mmengine - INFO - Epoch(train) [28][2200/4238] lr: 4.8943e-06 eta: 2:52:43 time: 0.9984 data_time: 0.0173 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1197 loss: 1.1197 2022/09/24 06:37:22 - mmengine - INFO - Epoch(train) [28][2300/4238] lr: 4.8943e-06 eta: 2:51:05 time: 0.9835 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1251 loss: 1.1251 2022/09/24 06:39:01 - mmengine - INFO - Epoch(train) [28][2400/4238] lr: 4.8943e-06 eta: 2:49:27 time: 0.9816 data_time: 0.0174 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2161 loss: 1.2161 2022/09/24 06:40:40 - mmengine - INFO - Epoch(train) [28][2500/4238] lr: 4.8943e-06 eta: 2:47:48 time: 0.9920 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2502 loss: 1.2502 2022/09/24 06:41:53 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 06:42:19 - mmengine - INFO - Epoch(train) [28][2600/4238] lr: 4.8943e-06 eta: 2:46:09 time: 0.9824 data_time: 0.0172 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9770 loss: 0.9770 2022/09/24 06:43:57 - mmengine - INFO - Epoch(train) [28][2700/4238] lr: 4.8943e-06 eta: 2:44:31 time: 0.9811 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1712 loss: 1.1712 2022/09/24 06:45:36 - mmengine - INFO - Epoch(train) [28][2800/4238] lr: 4.8943e-06 eta: 2:42:52 time: 0.9826 data_time: 0.0170 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2901 loss: 1.2901 2022/09/24 06:47:15 - mmengine - INFO - Epoch(train) [28][2900/4238] lr: 4.8943e-06 eta: 2:41:14 time: 0.9792 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1039 loss: 1.1039 2022/09/24 06:48:54 - mmengine - INFO - Epoch(train) [28][3000/4238] lr: 4.8943e-06 eta: 2:39:35 time: 0.9881 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0429 loss: 1.0429 2022/09/24 06:50:33 - mmengine - INFO - Epoch(train) [28][3100/4238] lr: 4.8943e-06 eta: 2:37:57 time: 0.9902 data_time: 0.0170 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3389 loss: 1.3389 2022/09/24 06:52:12 - mmengine - INFO - Epoch(train) [28][3200/4238] lr: 4.8943e-06 eta: 2:36:18 time: 0.9876 data_time: 0.0175 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2601 loss: 1.2601 2022/09/24 06:53:51 - mmengine - INFO - Epoch(train) [28][3300/4238] lr: 4.8943e-06 eta: 2:34:40 time: 0.9968 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9594 loss: 0.9594 2022/09/24 06:55:30 - mmengine - INFO - Epoch(train) [28][3400/4238] lr: 4.8943e-06 eta: 2:33:01 time: 0.9940 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4834 loss: 1.4834 2022/09/24 06:57:09 - mmengine - INFO - Epoch(train) [28][3500/4238] lr: 4.8943e-06 eta: 2:31:23 time: 0.9855 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3270 loss: 1.3270 2022/09/24 06:58:22 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 06:58:48 - mmengine - INFO - Epoch(train) [28][3600/4238] lr: 4.8943e-06 eta: 2:29:44 time: 0.9801 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9401 loss: 0.9401 2022/09/24 07:00:27 - mmengine - INFO - Epoch(train) [28][3700/4238] lr: 4.8943e-06 eta: 2:28:05 time: 0.9826 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2480 loss: 1.2480 2022/09/24 07:02:06 - mmengine - INFO - Epoch(train) [28][3800/4238] lr: 4.8943e-06 eta: 2:26:27 time: 0.9923 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2010 loss: 1.2010 2022/09/24 07:03:45 - mmengine - INFO - Epoch(train) [28][3900/4238] lr: 4.8943e-06 eta: 2:24:48 time: 0.9841 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0438 loss: 1.0438 2022/09/24 07:05:24 - mmengine - INFO - Epoch(train) [28][4000/4238] lr: 4.8943e-06 eta: 2:23:10 time: 0.9849 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2693 loss: 1.2693 2022/09/24 07:07:02 - mmengine - INFO - Epoch(train) [28][4100/4238] lr: 4.8943e-06 eta: 2:21:31 time: 0.9890 data_time: 0.0169 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0870 loss: 1.0870 2022/09/24 07:08:41 - mmengine - INFO - Epoch(train) [28][4200/4238] lr: 4.8943e-06 eta: 2:19:53 time: 0.9911 data_time: 0.0173 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1334 loss: 1.1334 2022/09/24 07:09:18 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 07:09:18 - mmengine - INFO - Epoch(train) [28][4238/4238] lr: 4.8943e-06 eta: 2:19:33 time: 0.9514 data_time: 0.0190 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0664 loss: 1.0664 2022/09/24 07:10:59 - mmengine - INFO - Epoch(train) [29][100/4238] lr: 2.1852e-06 eta: 2:17:35 time: 0.9820 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2149 loss: 1.2149 2022/09/24 07:12:38 - mmengine - INFO - Epoch(train) [29][200/4238] lr: 2.1852e-06 eta: 2:15:57 time: 0.9860 data_time: 0.0163 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2920 loss: 1.2920 2022/09/24 07:14:17 - mmengine - INFO - Epoch(train) [29][300/4238] lr: 2.1852e-06 eta: 2:14:18 time: 0.9909 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0024 loss: 1.0024 2022/09/24 07:14:52 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 07:15:55 - mmengine - INFO - Epoch(train) [29][400/4238] lr: 2.1852e-06 eta: 2:12:40 time: 0.9823 data_time: 0.0161 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0178 loss: 1.0178 2022/09/24 07:17:33 - mmengine - INFO - Epoch(train) [29][500/4238] lr: 2.1852e-06 eta: 2:11:01 time: 0.9801 data_time: 0.0169 memory: 68898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0819 loss: 1.0819 2022/09/24 07:19:12 - mmengine - INFO - Epoch(train) [29][600/4238] lr: 2.1852e-06 eta: 2:09:23 time: 0.9939 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3711 loss: 1.3711 2022/09/24 07:20:51 - mmengine - INFO - Epoch(train) [29][700/4238] lr: 2.1852e-06 eta: 2:07:44 time: 0.9842 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0692 loss: 1.0692 2022/09/24 07:22:30 - mmengine - INFO - Epoch(train) [29][800/4238] lr: 2.1852e-06 eta: 2:06:06 time: 0.9816 data_time: 0.0163 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2363 loss: 1.2363 2022/09/24 07:24:08 - mmengine - INFO - Epoch(train) [29][900/4238] lr: 2.1852e-06 eta: 2:04:27 time: 0.9840 data_time: 0.0172 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3495 loss: 1.3495 2022/09/24 07:25:47 - mmengine - INFO - Epoch(train) [29][1000/4238] lr: 2.1852e-06 eta: 2:02:48 time: 0.9918 data_time: 0.0164 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9152 loss: 0.9152 2022/09/24 07:27:26 - mmengine - INFO - Epoch(train) [29][1100/4238] lr: 2.1852e-06 eta: 2:01:10 time: 0.9790 data_time: 0.0168 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1392 loss: 1.1392 2022/09/24 07:29:04 - mmengine - INFO - Epoch(train) [29][1200/4238] lr: 2.1852e-06 eta: 1:59:31 time: 0.9858 data_time: 0.0171 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1062 loss: 1.1062 2022/09/24 07:30:43 - mmengine - INFO - Epoch(train) [29][1300/4238] lr: 2.1852e-06 eta: 1:57:53 time: 0.9947 data_time: 0.0167 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1678 loss: 1.1678 2022/09/24 07:31:19 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 07:32:22 - mmengine - INFO - Epoch(train) [29][1400/4238] lr: 2.1852e-06 eta: 1:56:14 time: 0.9792 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2006 loss: 1.2006 2022/09/24 07:34:01 - mmengine - INFO - Epoch(train) [29][1500/4238] lr: 2.1852e-06 eta: 1:54:36 time: 0.9846 data_time: 0.0165 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2026 loss: 1.2026 2022/09/24 07:35:40 - mmengine - INFO - Epoch(train) [29][1600/4238] lr: 2.1852e-06 eta: 1:52:57 time: 0.9913 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1495 loss: 1.1495 2022/09/24 07:37:18 - mmengine - INFO - Epoch(train) [29][1700/4238] lr: 2.1852e-06 eta: 1:51:19 time: 0.9973 data_time: 0.0179 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1044 loss: 1.1044 2022/09/24 07:38:58 - mmengine - INFO - Epoch(train) [29][1800/4238] lr: 2.1852e-06 eta: 1:49:40 time: 0.9856 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3770 loss: 1.3770 2022/09/24 07:40:36 - mmengine - INFO - Epoch(train) [29][1900/4238] lr: 2.1852e-06 eta: 1:48:01 time: 0.9820 data_time: 0.0181 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1136 loss: 1.1136 2022/09/24 07:42:15 - mmengine - INFO - Epoch(train) [29][2000/4238] lr: 2.1852e-06 eta: 1:46:23 time: 0.9849 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2789 loss: 1.2789 2022/09/24 07:43:53 - mmengine - INFO - Epoch(train) [29][2100/4238] lr: 2.1852e-06 eta: 1:44:44 time: 0.9816 data_time: 0.0170 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1806 loss: 1.1806 2022/09/24 07:45:32 - mmengine - INFO - Epoch(train) [29][2200/4238] lr: 2.1852e-06 eta: 1:43:06 time: 0.9864 data_time: 0.0166 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3576 loss: 1.3576 2022/09/24 07:47:11 - mmengine - INFO - Epoch(train) [29][2300/4238] lr: 2.1852e-06 eta: 1:41:27 time: 0.9872 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2521 loss: 1.2521 2022/09/24 07:47:46 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 07:48:49 - mmengine - INFO - Epoch(train) [29][2400/4238] lr: 2.1852e-06 eta: 1:39:49 time: 0.9886 data_time: 0.0171 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9967 loss: 0.9967 2022/09/24 07:50:33 - mmengine - INFO - Epoch(train) [29][2500/4238] lr: 2.1852e-06 eta: 1:38:10 time: 0.9864 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1340 loss: 1.1340 2022/09/24 07:52:11 - mmengine - INFO - Epoch(train) [29][2600/4238] lr: 2.1852e-06 eta: 1:36:32 time: 0.9866 data_time: 0.0167 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8807 loss: 0.8807 2022/09/24 07:53:50 - mmengine - INFO - Epoch(train) [29][2700/4238] lr: 2.1852e-06 eta: 1:34:53 time: 0.9862 data_time: 0.0163 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0672 loss: 1.0672 2022/09/24 07:55:29 - mmengine - INFO - Epoch(train) [29][2800/4238] lr: 2.1852e-06 eta: 1:33:15 time: 0.9861 data_time: 0.0166 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0286 loss: 1.0286 2022/09/24 07:57:08 - mmengine - INFO - Epoch(train) [29][2900/4238] lr: 2.1852e-06 eta: 1:31:36 time: 0.9922 data_time: 0.0170 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/09/24 07:58:46 - mmengine - INFO - Epoch(train) [29][3000/4238] lr: 2.1852e-06 eta: 1:29:57 time: 0.9837 data_time: 0.0166 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1283 loss: 1.1283 2022/09/24 08:00:25 - mmengine - INFO - Epoch(train) [29][3100/4238] lr: 2.1852e-06 eta: 1:28:19 time: 0.9866 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1106 loss: 1.1106 2022/09/24 08:02:04 - mmengine - INFO - Epoch(train) [29][3200/4238] lr: 2.1852e-06 eta: 1:26:40 time: 0.9868 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1410 loss: 1.1410 2022/09/24 08:03:43 - mmengine - INFO - Epoch(train) [29][3300/4238] lr: 2.1852e-06 eta: 1:25:02 time: 0.9910 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9733 loss: 0.9733 2022/09/24 08:04:19 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 08:05:22 - mmengine - INFO - Epoch(train) [29][3400/4238] lr: 2.1852e-06 eta: 1:23:23 time: 0.9880 data_time: 0.0167 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3528 loss: 1.3528 2022/09/24 08:07:02 - mmengine - INFO - Epoch(train) [29][3500/4238] lr: 2.1852e-06 eta: 1:21:45 time: 0.9906 data_time: 0.0162 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2187 loss: 1.2187 2022/09/24 08:08:41 - mmengine - INFO - Epoch(train) [29][3600/4238] lr: 2.1852e-06 eta: 1:20:06 time: 0.9799 data_time: 0.0169 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2786 loss: 1.2786 2022/09/24 08:10:20 - mmengine - INFO - Epoch(train) [29][3700/4238] lr: 2.1852e-06 eta: 1:18:27 time: 0.9918 data_time: 0.0169 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1927 loss: 1.1927 2022/09/24 08:11:59 - mmengine - INFO - Epoch(train) [29][3800/4238] lr: 2.1852e-06 eta: 1:16:49 time: 0.9939 data_time: 0.0166 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2265 loss: 1.2265 2022/09/24 08:13:38 - mmengine - INFO - Epoch(train) [29][3900/4238] lr: 2.1852e-06 eta: 1:15:10 time: 0.9936 data_time: 0.0172 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0354 loss: 1.0354 2022/09/24 08:15:16 - mmengine - INFO - Epoch(train) [29][4000/4238] lr: 2.1852e-06 eta: 1:13:32 time: 0.9866 data_time: 0.0171 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1572 loss: 1.1572 2022/09/24 08:16:55 - mmengine - INFO - Epoch(train) [29][4100/4238] lr: 2.1852e-06 eta: 1:11:53 time: 0.9880 data_time: 0.0165 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1117 loss: 1.1117 2022/09/24 08:18:34 - mmengine - INFO - Epoch(train) [29][4200/4238] lr: 2.1852e-06 eta: 1:10:15 time: 0.9866 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9083 loss: 0.9083 2022/09/24 08:19:12 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 08:19:12 - mmengine - INFO - Epoch(train) [29][4238/4238] lr: 2.1852e-06 eta: 1:09:55 time: 0.9807 data_time: 0.0184 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9185 loss: 0.9185 2022/09/24 08:20:51 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 08:20:53 - mmengine - INFO - Epoch(train) [30][100/4238] lr: 5.4781e-07 eta: 1:07:58 time: 0.9840 data_time: 0.0173 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1671 loss: 1.1671 2022/09/24 08:22:32 - mmengine - INFO - Epoch(train) [30][200/4238] lr: 5.4781e-07 eta: 1:06:20 time: 0.9859 data_time: 0.0170 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0896 loss: 1.0896 2022/09/24 08:24:11 - mmengine - INFO - Epoch(train) [30][300/4238] lr: 5.4781e-07 eta: 1:04:41 time: 0.9873 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9940 loss: 0.9940 2022/09/24 08:25:50 - mmengine - INFO - Epoch(train) [30][400/4238] lr: 5.4781e-07 eta: 1:03:02 time: 0.9886 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1471 loss: 1.1471 2022/09/24 08:27:29 - mmengine - INFO - Epoch(train) [30][500/4238] lr: 5.4781e-07 eta: 1:01:24 time: 0.9969 data_time: 0.0172 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3938 loss: 1.3938 2022/09/24 08:29:08 - mmengine - INFO - Epoch(train) [30][600/4238] lr: 5.4781e-07 eta: 0:59:45 time: 0.9828 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0705 loss: 1.0705 2022/09/24 08:30:47 - mmengine - INFO - Epoch(train) [30][700/4238] lr: 5.4781e-07 eta: 0:58:07 time: 0.9893 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1657 loss: 1.1657 2022/09/24 08:32:26 - mmengine - INFO - Epoch(train) [30][800/4238] lr: 5.4781e-07 eta: 0:56:28 time: 0.9997 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1707 loss: 1.1707 2022/09/24 08:34:05 - mmengine - INFO - Epoch(train) [30][900/4238] lr: 5.4781e-07 eta: 0:54:50 time: 0.9847 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0300 loss: 1.0300 2022/09/24 08:35:44 - mmengine - INFO - Epoch(train) [30][1000/4238] lr: 5.4781e-07 eta: 0:53:11 time: 0.9948 data_time: 0.0180 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1522 loss: 1.1522 2022/09/24 08:37:21 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 08:37:23 - mmengine - INFO - Epoch(train) [30][1100/4238] lr: 5.4781e-07 eta: 0:51:33 time: 0.9937 data_time: 0.0188 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4375 loss: 1.4375 2022/09/24 08:39:03 - mmengine - INFO - Epoch(train) [30][1200/4238] lr: 5.4781e-07 eta: 0:49:54 time: 0.9985 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1118 loss: 1.1118 2022/09/24 08:40:42 - mmengine - INFO - Epoch(train) [30][1300/4238] lr: 5.4781e-07 eta: 0:48:15 time: 0.9834 data_time: 0.0171 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2977 loss: 1.2977 2022/09/24 08:42:20 - mmengine - INFO - Epoch(train) [30][1400/4238] lr: 5.4781e-07 eta: 0:46:37 time: 0.9824 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1408 loss: 1.1408 2022/09/24 08:43:59 - mmengine - INFO - Epoch(train) [30][1500/4238] lr: 5.4781e-07 eta: 0:44:58 time: 0.9844 data_time: 0.0175 memory: 68898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1141 loss: 1.1141 2022/09/24 08:45:41 - mmengine - INFO - Epoch(train) [30][1600/4238] lr: 5.4781e-07 eta: 0:43:20 time: 0.9944 data_time: 0.0176 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1087 loss: 1.1087 2022/09/24 08:47:19 - mmengine - INFO - Epoch(train) [30][1700/4238] lr: 5.4781e-07 eta: 0:41:41 time: 0.9890 data_time: 0.0172 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9183 loss: 0.9183 2022/09/24 08:48:58 - mmengine - INFO - Epoch(train) [30][1800/4238] lr: 5.4781e-07 eta: 0:40:03 time: 0.9844 data_time: 0.0167 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1004 loss: 1.1004 2022/09/24 08:50:36 - mmengine - INFO - Epoch(train) [30][1900/4238] lr: 5.4781e-07 eta: 0:38:24 time: 0.9784 data_time: 0.0167 memory: 68898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1346 loss: 1.1346 2022/09/24 08:52:15 - mmengine - INFO - Epoch(train) [30][2000/4238] lr: 5.4781e-07 eta: 0:36:46 time: 0.9824 data_time: 0.0168 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0858 loss: 1.0858 2022/09/24 08:53:52 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 08:53:54 - mmengine - INFO - Epoch(train) [30][2100/4238] lr: 5.4781e-07 eta: 0:35:07 time: 0.9790 data_time: 0.0168 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9504 loss: 0.9504 2022/09/24 08:55:32 - mmengine - INFO - Epoch(train) [30][2200/4238] lr: 5.4781e-07 eta: 0:33:28 time: 0.9817 data_time: 0.0171 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0897 loss: 1.0897 2022/09/24 08:57:11 - mmengine - INFO - Epoch(train) [30][2300/4238] lr: 5.4781e-07 eta: 0:31:50 time: 0.9861 data_time: 0.0167 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1899 loss: 1.1899 2022/09/24 08:58:49 - mmengine - INFO - Epoch(train) [30][2400/4238] lr: 5.4781e-07 eta: 0:30:11 time: 0.9820 data_time: 0.0171 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4259 loss: 1.4259 2022/09/24 09:00:28 - mmengine - INFO - Epoch(train) [30][2500/4238] lr: 5.4781e-07 eta: 0:28:33 time: 0.9842 data_time: 0.0165 memory: 68898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0288 loss: 1.0288 2022/09/24 09:02:07 - mmengine - INFO - Epoch(train) [30][2600/4238] lr: 5.4781e-07 eta: 0:26:54 time: 0.9852 data_time: 0.0170 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9663 loss: 0.9663 2022/09/24 09:03:45 - mmengine - INFO - Epoch(train) [30][2700/4238] lr: 5.4781e-07 eta: 0:25:16 time: 0.9830 data_time: 0.0165 memory: 68898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2671 loss: 1.2671 2022/09/24 09:05:24 - mmengine - INFO - Epoch(train) [30][2800/4238] lr: 5.4781e-07 eta: 0:23:37 time: 0.9892 data_time: 0.0166 memory: 68898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4362 loss: 1.4362 2022/09/24 09:07:03 - mmengine - INFO - Epoch(train) [30][2900/4238] lr: 5.4781e-07 eta: 0:21:58 time: 0.9861 data_time: 0.0165 memory: 68898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9396 loss: 0.9396 2022/09/24 09:08:42 - mmengine - INFO - Epoch(train) [30][3000/4238] lr: 5.4781e-07 eta: 0:20:20 time: 1.0005 data_time: 0.0164 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0846 loss: 1.0846 2022/09/24 09:10:19 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 09:10:21 - mmengine - INFO - Epoch(train) [30][3100/4238] lr: 5.4781e-07 eta: 0:18:41 time: 0.9864 data_time: 0.0168 memory: 68898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1639 loss: 1.1639 2022/09/24 09:12:01 - mmengine - INFO - Epoch(train) [30][3200/4238] lr: 5.4781e-07 eta: 0:17:03 time: 1.0060 data_time: 0.0164 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3748 loss: 1.3748 2022/09/24 09:13:41 - mmengine - INFO - Epoch(train) [30][3300/4238] lr: 5.4781e-07 eta: 0:15:24 time: 0.9912 data_time: 0.0169 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9296 loss: 0.9296 2022/09/24 09:15:19 - mmengine - INFO - Epoch(train) [30][3400/4238] lr: 5.4781e-07 eta: 0:13:46 time: 0.9866 data_time: 0.0171 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3386 loss: 1.3386 2022/09/24 09:17:00 - mmengine - INFO - Epoch(train) [30][3500/4238] lr: 5.4781e-07 eta: 0:12:07 time: 0.9999 data_time: 0.0174 memory: 68898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0555 loss: 1.0555 2022/09/24 09:18:39 - mmengine - INFO - Epoch(train) [30][3600/4238] lr: 5.4781e-07 eta: 0:10:28 time: 0.9819 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2622 loss: 1.2622 2022/09/24 09:20:19 - mmengine - INFO - Epoch(train) [30][3700/4238] lr: 5.4781e-07 eta: 0:08:50 time: 0.9994 data_time: 0.0170 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1088 loss: 1.1088 2022/09/24 09:21:59 - mmengine - INFO - Epoch(train) [30][3800/4238] lr: 5.4781e-07 eta: 0:07:11 time: 0.9986 data_time: 0.0170 memory: 68898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3097 loss: 1.3097 2022/09/24 09:23:38 - mmengine - INFO - Epoch(train) [30][3900/4238] lr: 5.4781e-07 eta: 0:05:33 time: 0.9918 data_time: 0.0169 memory: 68898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3071 loss: 1.3071 2022/09/24 09:25:17 - mmengine - INFO - Epoch(train) [30][4000/4238] lr: 5.4781e-07 eta: 0:03:54 time: 0.9873 data_time: 0.0167 memory: 68898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0818 loss: 1.0818 2022/09/24 09:26:54 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 09:26:56 - mmengine - INFO - Epoch(train) [30][4100/4238] lr: 5.4781e-07 eta: 0:02:16 time: 0.9828 data_time: 0.0171 memory: 68898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1213 loss: 1.1213 2022/09/24 09:28:35 - mmengine - INFO - Epoch(train) [30][4200/4238] lr: 5.4781e-07 eta: 0:00:37 time: 0.9835 data_time: 0.0170 memory: 68898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3694 loss: 1.3694 2022/09/24 09:29:12 - mmengine - INFO - Exp name: swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220922_221040 2022/09/24 09:29:12 - mmengine - INFO - Epoch(train) [30][4238/4238] lr: 5.4781e-07 eta: 0:00:17 time: 0.9524 data_time: 0.0176 memory: 68898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1371 loss: 1.1371 2022/09/24 09:29:12 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/09/24 09:30:05 - mmengine - INFO - Epoch(val) [30][100/273] eta: 0:01:09 time: 0.4001 data_time: 0.0096 memory: 14236 2022/09/24 09:30:45 - mmengine - INFO - Epoch(val) [30][200/273] eta: 0:00:29 time: 0.3995 data_time: 0.0093 memory: 14236 2022/09/24 09:31:17 - mmengine - INFO - Epoch(val) [30][273/273] acc/top1: 0.6948 acc/top5: 0.8815 acc/mean1: 0.6947 2022/09/24 09:31:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/mmaction2/work_dirs/swin-large_p244-w877-in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb/best_acc/top1_epoch_27.pth is removed 2022/09/24 09:31:21 - mmengine - INFO - The best checkpoint with 0.6948 acc/top1 at 30 epoch is saved to best_acc/top1_epoch_30.pth.