2023/02/14 18:49:16 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.7.0 (default, Oct 9 2018, 10:31:47) [GCC 7.3.0] CUDA available: True numpy_random_seed: 600579149 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: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.6.0 MMEngine: 0.5.0 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None diff_rank_seed: False deterministic: False Distributed launcher: pytorch Distributed training: True GPU number: 8 ------------------------------------------------------------ 2023/02/14 18:49:17 - mmengine - INFO - Config: 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'), sync_buffers=dict(type='SyncBuffersHook')) env_cfg = dict( cudnn_benchmark=False, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) log_processor = dict(type='LogProcessor', window_size=20, by_epoch=True) vis_backends = [ dict(type='LocalVisBackend'), dict(type='TensorboardVisBackend') ] visualizer = dict( type='ActionVisualizer', vis_backends=[ dict(type='LocalVisBackend'), dict(type='TensorboardVisBackend') ]) log_level = 'INFO' load_from = None resume = False num_frames = 8 model = dict( type='Recognizer3D', backbone=dict( type='UniFormerV2', input_resolution=224, patch_size=16, width=768, layers=12, heads=12, t_size=8, dw_reduction=1.5, backbone_drop_path_rate=0.0, temporal_downsample=False, no_lmhra=True, double_lmhra=True, return_list=[8, 9, 10, 11], n_layers=4, n_dim=768, n_head=12, mlp_factor=4.0, drop_path_rate=0.0, mlp_dropout=[0.5, 0.5, 0.5, 0.5], clip_pretrained=True, pretrained='ViT-B/16'), cls_head=dict( type='UniFormerHead', dropout_ratio=0.5, num_classes=400, in_channels=768, average_clips='prob'), data_preprocessor=dict( type='ActionDataPreprocessor', mean=[114.75, 114.75, 114.75], std=[57.375, 57.375, 57.375], format_shape='NCTHW')) dataset_type = 'VideoDataset' data_root = 'data/kinetics400/videos_train' data_root_val = 'data/kinetics400/videos_val' ann_file_train = 'data/kinetics400/kinetics400_train_list_videos.txt' ann_file_val = 'data/kinetics400/kinetics400_val_list_videos.txt' ann_file_test = 'data/kinetics400/kinetics400_val_list_videos.txt' file_client_args = dict( io_backend='petrel', path_mapping=dict({ 'data/kinetics400': 's254:s3://openmmlab/datasets/action/Kinetics400' })) train_pipeline = [ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/kinetics400': 's254:s3://openmmlab/datasets/action/Kinetics400' })), dict(type='UniformSample', clip_len=8, num_clips=1), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict( type='PytorchVideoWrapper', op='RandAugment', magnitude=7, num_layers=4), 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/kinetics400': 's254:s3://openmmlab/datasets/action/Kinetics400' })), dict(type='UniformSample', clip_len=8, num_clips=1, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 224)), 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/kinetics400': 's254:s3://openmmlab/datasets/action/Kinetics400' })), dict(type='UniformSample', clip_len=8, 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=32, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='VideoDataset', ann_file='data/kinetics400/kinetics400_train_list_videos.txt', data_prefix=dict(video='data/kinetics400/videos_train'), pipeline=[ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/kinetics400': 's254:s3://openmmlab/datasets/action/Kinetics400' })), dict(type='UniformSample', clip_len=8, num_clips=1), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict( type='PytorchVideoWrapper', op='RandAugment', magnitude=7, num_layers=4), 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/kinetics400/kinetics400_val_list_videos.txt', data_prefix=dict(video='data/kinetics400/videos_val'), pipeline=[ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/kinetics400': 's254:s3://openmmlab/datasets/action/Kinetics400' })), dict( type='UniformSample', clip_len=8, num_clips=1, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 224)), dict(type='CenterCrop', crop_size=224), dict(type='FormatShape', input_format='NCTHW'), dict(type='PackActionInputs') ], test_mode=True)) test_dataloader = dict( batch_size=8, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='VideoDataset', ann_file='data/kinetics400/kinetics400_val_list_videos.txt', data_prefix=dict(video='data/kinetics400/videos_val'), pipeline=[ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/kinetics400': 's254:s3://openmmlab/datasets/action/Kinetics400' })), dict( type='UniformSample', clip_len=8, 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=55, val_begin=1, val_interval=1) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') base_lr = 1e-05 optim_wrapper = dict( optimizer=dict( type='AdamW', lr=1e-05, betas=(0.9, 0.999), weight_decay=0.05), paramwise_cfg=dict(norm_decay_mult=0.0, bias_decay_mult=0.0), clip_grad=dict(max_norm=20, norm_type=2)) param_scheduler = [ dict( type='LinearLR', start_factor=0.1, by_epoch=True, begin=0, end=5, convert_to_iter_based=True), dict( type='CosineAnnealingLR', T_max=50, eta_min_ratio=0.1, by_epoch=True, begin=5, end=55, convert_to_iter_based=True) ] auto_scale_lr = dict(enable=True, base_batch_size=256) launcher = 'pytorch' work_dir = 'work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb' randomness = dict(seed=None, diff_rank_seed=False, deterministic=False) 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - No L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Double L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - No L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Double L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - No L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Double L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - No L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Double L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - No L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Double L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - No L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Double L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - No L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Double L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - No L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Double L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - No L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Double L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - No L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Double L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - No L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Double L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - No L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Double L_MHRA: True 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:19 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:20 - mmengine - INFO - Drop path rate: 0.0 2023/02/14 18:49:20 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (NORMAL ) SyncBuffersHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.ln_pre.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.ln_pre.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.0.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.0.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.0.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.0.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.0.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.0.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.0.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.1.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.1.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.1.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.1.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.1.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.1.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.1.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.2.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.2.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.2.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.2.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.2.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.2.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.2.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.3.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.3.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.3.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.3.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.3.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.3.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.3.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.4.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.4.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.4.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.4.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.4.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.4.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.4.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.5.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.5.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.5.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.5.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.5.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.5.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.5.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.6.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.6.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.6.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.6.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.6.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.6.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.6.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.7.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.7.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.7.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.7.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.7.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.7.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.7.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.8.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.8.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.8.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.8.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.8.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.8.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.8.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.9.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.9.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.9.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.9.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.9.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.9.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.9.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.10.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.10.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.10.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.10.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.10.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.10.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.10.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.11.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.11.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.11.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.11.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.11.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.11.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.resblocks.11.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dpe.0.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dpe.1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dpe.2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dpe.3.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.0.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.0.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.0.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.0.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.0.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.0.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.0.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.0.ln_3.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.0.ln_3.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.1.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.1.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.1.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.1.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.1.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.1.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.1.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.1.ln_3.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.1.ln_3.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.2.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.2.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.2.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.2.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.2.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.2.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.2.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.2.ln_3.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.2.ln_3.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.3.attn.out_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.3.ln_1.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.3.ln_1.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.3.mlp.c_fc.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.3.mlp.c_proj.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.3.ln_2.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.3.ln_2.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.3.ln_3.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.dec.3.ln_3.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.norm.weight:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- backbone.transformer.norm.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - paramwise_options -- cls_head.fc_cls.bias:weight_decay=0.0 2023/02/14 18:49:22 - mmengine - INFO - LR is set based on batch size of 256 and the current batch size is 256. Scaling the original LR by 1.0. 2023/02/14 18:49:22 - mmengine - INFO - load model from: ViT-B/16 2023/02/14 18:49:22 - mmengine - INFO - Load CLIP pretrained model from https://download.openmmlab.com/mmaction/v1.0/recognition/uniformerv2/clipVisualEncoder/vit-base-p16-res224_clip-rgb_20221219-b8a5da86.pth 2023/02/14 18:49:55 - mmengine - INFO - Inflate: conv1.weight, torch.Size([768, 3, 16, 16]) => torch.Size([768, 3, 1, 16, 16]) 2023/02/14 18:49:55 - mmengine - INFO - Init center: True Name of parameter - Initialization information backbone.class_embedding - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.positional_embedding - torch.Size([197, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.conv1.weight - torch.Size([768, 3, 1, 16, 16]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.ln_pre.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.ln_pre.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.temporal_cls_token - torch.Size([1, 1, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.balance - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.resblocks.0.attn.in_proj_weight - torch.Size([2304, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.0.attn.in_proj_bias - torch.Size([2304]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.0.attn.out_proj.weight - torch.Size([768, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.0.attn.out_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.0.ln_1.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.0.ln_1.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.0.mlp.c_fc.weight - torch.Size([3072, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.0.mlp.c_fc.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.0.mlp.c_proj.weight - torch.Size([768, 3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.0.mlp.c_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.0.ln_2.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.0.ln_2.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.1.attn.in_proj_weight - torch.Size([2304, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.1.attn.in_proj_bias - torch.Size([2304]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.1.attn.out_proj.weight - torch.Size([768, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.1.attn.out_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.1.ln_1.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.1.ln_1.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.1.mlp.c_fc.weight - torch.Size([3072, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.1.mlp.c_fc.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.1.mlp.c_proj.weight - torch.Size([768, 3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.1.mlp.c_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.1.ln_2.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.1.ln_2.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.2.attn.in_proj_weight - torch.Size([2304, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.2.attn.in_proj_bias - torch.Size([2304]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.2.attn.out_proj.weight - torch.Size([768, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.2.attn.out_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.2.ln_1.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.2.ln_1.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.2.mlp.c_fc.weight - torch.Size([3072, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.2.mlp.c_fc.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.2.mlp.c_proj.weight - torch.Size([768, 3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.2.mlp.c_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.2.ln_2.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.2.ln_2.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.3.attn.in_proj_weight - torch.Size([2304, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.3.attn.in_proj_bias - torch.Size([2304]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.3.attn.out_proj.weight - torch.Size([768, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.3.attn.out_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.3.ln_1.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.3.ln_1.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.3.mlp.c_fc.weight - torch.Size([3072, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.3.mlp.c_fc.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.3.mlp.c_proj.weight - torch.Size([768, 3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.3.mlp.c_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.3.ln_2.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.3.ln_2.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.4.attn.in_proj_weight - torch.Size([2304, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.4.attn.in_proj_bias - torch.Size([2304]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.4.attn.out_proj.weight - torch.Size([768, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.4.attn.out_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.4.ln_1.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.4.ln_1.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.4.mlp.c_fc.weight - torch.Size([3072, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.4.mlp.c_fc.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.4.mlp.c_proj.weight - torch.Size([768, 3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.4.mlp.c_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.4.ln_2.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.4.ln_2.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.5.attn.in_proj_weight - torch.Size([2304, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.5.attn.in_proj_bias - torch.Size([2304]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.5.attn.out_proj.weight - torch.Size([768, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.5.attn.out_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.5.ln_1.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.5.ln_1.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.5.mlp.c_fc.weight - torch.Size([3072, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.5.mlp.c_fc.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.5.mlp.c_proj.weight - torch.Size([768, 3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.5.mlp.c_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.5.ln_2.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.5.ln_2.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.6.attn.in_proj_weight - torch.Size([2304, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.6.attn.in_proj_bias - torch.Size([2304]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.6.attn.out_proj.weight - torch.Size([768, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.6.attn.out_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.6.ln_1.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.6.ln_1.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.6.mlp.c_fc.weight - torch.Size([3072, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.6.mlp.c_fc.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.6.mlp.c_proj.weight - torch.Size([768, 3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.6.mlp.c_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.6.ln_2.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.6.ln_2.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.7.attn.in_proj_weight - torch.Size([2304, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.7.attn.in_proj_bias - torch.Size([2304]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.7.attn.out_proj.weight - torch.Size([768, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.7.attn.out_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.7.ln_1.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.7.ln_1.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.7.mlp.c_fc.weight - torch.Size([3072, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.7.mlp.c_fc.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.7.mlp.c_proj.weight - torch.Size([768, 3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.7.mlp.c_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.7.ln_2.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.7.ln_2.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.8.attn.in_proj_weight - torch.Size([2304, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.8.attn.in_proj_bias - torch.Size([2304]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.8.attn.out_proj.weight - torch.Size([768, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.8.attn.out_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.8.ln_1.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.8.ln_1.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.8.mlp.c_fc.weight - torch.Size([3072, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.8.mlp.c_fc.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.8.mlp.c_proj.weight - torch.Size([768, 3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.8.mlp.c_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.8.ln_2.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.8.ln_2.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.9.attn.in_proj_weight - torch.Size([2304, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.9.attn.in_proj_bias - torch.Size([2304]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.9.attn.out_proj.weight - torch.Size([768, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.9.attn.out_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.9.ln_1.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.9.ln_1.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.9.mlp.c_fc.weight - torch.Size([3072, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.9.mlp.c_fc.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.9.mlp.c_proj.weight - torch.Size([768, 3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.9.mlp.c_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.9.ln_2.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.9.ln_2.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.10.attn.in_proj_weight - torch.Size([2304, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.10.attn.in_proj_bias - torch.Size([2304]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.10.attn.out_proj.weight - torch.Size([768, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.10.attn.out_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.10.ln_1.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.10.ln_1.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.10.mlp.c_fc.weight - torch.Size([3072, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.10.mlp.c_fc.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.10.mlp.c_proj.weight - torch.Size([768, 3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.10.mlp.c_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.10.ln_2.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.10.ln_2.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.11.attn.in_proj_weight - torch.Size([2304, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.11.attn.in_proj_bias - torch.Size([2304]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.11.attn.out_proj.weight - torch.Size([768, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.11.attn.out_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.11.ln_1.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.11.ln_1.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.11.mlp.c_fc.weight - torch.Size([3072, 768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.11.mlp.c_fc.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.11.mlp.c_proj.weight - torch.Size([768, 3072]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.11.mlp.c_proj.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.11.ln_2.weight - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.resblocks.11.ln_2.bias - torch.Size([768]): Initialized by user-defined `init_weights` in UniFormerV2 backbone.transformer.dpe.0.weight - torch.Size([768, 1, 3, 3, 3]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dpe.0.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dpe.1.weight - torch.Size([768, 1, 3, 3, 3]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dpe.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dpe.2.weight - torch.Size([768, 1, 3, 3, 3]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dpe.2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dpe.3.weight - torch.Size([768, 1, 3, 3, 3]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dpe.3.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.attn.in_proj_weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.attn.in_proj_bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.attn.out_proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.attn.out_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.ln_1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.ln_1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.mlp.c_fc.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.mlp.c_fc.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.mlp.c_proj.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.mlp.c_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.ln_2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.ln_2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.ln_3.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.0.ln_3.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.attn.in_proj_weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.attn.in_proj_bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.attn.out_proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.attn.out_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.ln_1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.ln_1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.mlp.c_fc.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.mlp.c_fc.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.mlp.c_proj.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.mlp.c_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.ln_2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.ln_2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.ln_3.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.1.ln_3.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.attn.in_proj_weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.attn.in_proj_bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.attn.out_proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.attn.out_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.ln_1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.ln_1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.mlp.c_fc.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.mlp.c_fc.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.mlp.c_proj.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.mlp.c_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.ln_2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.ln_2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.ln_3.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.2.ln_3.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.attn.in_proj_weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.attn.in_proj_bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.attn.out_proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.attn.out_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.ln_1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.ln_1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.mlp.c_fc.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.mlp.c_fc.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.mlp.c_proj.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.mlp.c_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.ln_2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.ln_2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.ln_3.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.dec.3.ln_3.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D backbone.transformer.norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of Recognizer3D cls_head.fc_cls.weight - torch.Size([400, 768]): TruncNormalInit: a=-2, b=2, mean=0, std=0.02, bias=0 cls_head.fc_cls.bias - torch.Size([400]): TruncNormalInit: a=-2, b=2, mean=0, std=0.02, bias=0 2023/02/14 18:49:55 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb. 2023/02/14 18:52:50 - mmengine - INFO - Epoch(train) [1][100/940] lr: 1.1896e-06 eta: 1 day, 1:00:41 time: 1.3777 data_time: 0.0282 memory: 52497 grad_norm: 18.9198 loss: 6.0495 top1_acc: 0.0312 top5_acc: 0.1562 loss_cls: 6.0495 2023/02/14 18:54:56 - mmengine - INFO - Epoch(train) [1][200/940] lr: 1.3811e-06 eta: 21:29:50 time: 1.2533 data_time: 0.0311 memory: 52497 grad_norm: 24.7457 loss: 5.8117 top1_acc: 0.0000 top5_acc: 0.0938 loss_cls: 5.8117 2023/02/14 18:57:06 - mmengine - INFO - Epoch(train) [1][300/940] lr: 1.5727e-06 eta: 20:29:33 time: 1.2170 data_time: 0.0313 memory: 52497 grad_norm: 31.6846 loss: 5.4949 top1_acc: 0.0312 top5_acc: 0.1250 loss_cls: 5.4949 2023/02/14 18:59:14 - mmengine - INFO - Epoch(train) [1][400/940] lr: 1.7642e-06 eta: 19:53:50 time: 1.2750 data_time: 0.0316 memory: 52497 grad_norm: 41.0397 loss: 5.1448 top1_acc: 0.0625 top5_acc: 0.1562 loss_cls: 5.1448 2023/02/14 19:01:21 - mmengine - INFO - Epoch(train) [1][500/940] lr: 1.9557e-06 eta: 19:29:30 time: 1.3252 data_time: 0.0386 memory: 52497 grad_norm: 46.3317 loss: 4.8282 top1_acc: 0.0938 top5_acc: 0.2812 loss_cls: 4.8282 2023/02/14 19:03:30 - mmengine - INFO - Epoch(train) [1][600/940] lr: 2.1473e-06 eta: 19:15:42 time: 1.3450 data_time: 0.0767 memory: 52497 grad_norm: 56.1133 loss: 4.5785 top1_acc: 0.0938 top5_acc: 0.1875 loss_cls: 4.5785 2023/02/14 19:05:40 - mmengine - INFO - Epoch(train) [1][700/940] lr: 2.3388e-06 eta: 19:07:18 time: 1.3423 data_time: 0.0310 memory: 52497 grad_norm: 60.4280 loss: 4.3675 top1_acc: 0.0938 top5_acc: 0.2812 loss_cls: 4.3675 2023/02/14 19:07:49 - mmengine - INFO - Epoch(train) [1][800/940] lr: 2.5303e-06 eta: 18:58:38 time: 1.2545 data_time: 0.0301 memory: 52497 grad_norm: 61.6376 loss: 4.1858 top1_acc: 0.1562 top5_acc: 0.2812 loss_cls: 4.1858 2023/02/14 19:09:59 - mmengine - INFO - Epoch(train) [1][900/940] lr: 2.7219e-06 eta: 18:52:37 time: 1.3505 data_time: 0.0273 memory: 52497 grad_norm: 67.3926 loss: 4.0177 top1_acc: 0.1562 top5_acc: 0.4688 loss_cls: 4.0177 2023/02/14 19:10:48 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 19:10:48 - mmengine - INFO - Epoch(train) [1][940/940] lr: 2.7985e-06 eta: 18:47:17 time: 1.1274 data_time: 0.0204 memory: 52497 grad_norm: 71.5157 loss: 3.9753 top1_acc: 0.0000 top5_acc: 0.4286 loss_cls: 3.9753 2023/02/14 19:11:50 - mmengine - INFO - Epoch(val) [1][100/310] eta: 0:02:09 time: 0.1831 data_time: 0.1028 memory: 2891 2023/02/14 19:12:11 - mmengine - INFO - Epoch(val) [1][200/310] eta: 0:00:45 time: 0.1900 data_time: 0.1101 memory: 2891 2023/02/14 19:12:31 - mmengine - INFO - Epoch(val) [1][300/310] eta: 0:00:03 time: 0.2148 data_time: 0.1349 memory: 2891 2023/02/14 19:12:36 - mmengine - INFO - Epoch(val) [1][310/310] acc/top1: 0.2897 acc/top5: 0.5649 acc/mean1: 0.2895 2023/02/14 19:12:38 - mmengine - INFO - The best checkpoint with 0.2897 acc/top1 at 1 epoch is saved to best_acc/top1_epoch_1.pth. 2023/02/14 19:14:03 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 19:14:55 - mmengine - INFO - Epoch(train) [2][100/940] lr: 2.9900e-06 eta: 18:48:45 time: 1.3511 data_time: 0.0853 memory: 52497 grad_norm: 70.3860 loss: 3.8365 top1_acc: 0.2812 top5_acc: 0.5000 loss_cls: 3.8365 2023/02/14 19:17:05 - mmengine - INFO - Epoch(train) [2][200/940] lr: 3.1815e-06 eta: 18:43:32 time: 1.3128 data_time: 0.0526 memory: 52497 grad_norm: 72.3710 loss: 3.4364 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 3.4364 2023/02/14 19:19:14 - mmengine - INFO - Epoch(train) [2][300/940] lr: 3.3731e-06 eta: 18:38:32 time: 1.2609 data_time: 0.0790 memory: 52497 grad_norm: 76.6623 loss: 3.3888 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.3888 2023/02/14 19:21:22 - mmengine - INFO - Epoch(train) [2][400/940] lr: 3.5646e-06 eta: 18:33:08 time: 1.2029 data_time: 0.0855 memory: 52497 grad_norm: 76.6497 loss: 3.4348 top1_acc: 0.2188 top5_acc: 0.6250 loss_cls: 3.4348 2023/02/14 19:23:31 - mmengine - INFO - Epoch(train) [2][500/940] lr: 3.7561e-06 eta: 18:28:30 time: 1.3160 data_time: 0.2104 memory: 52497 grad_norm: 77.9711 loss: 3.1166 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 3.1166 2023/02/14 19:25:38 - mmengine - INFO - Epoch(train) [2][600/940] lr: 3.9476e-06 eta: 18:23:42 time: 1.1906 data_time: 0.0671 memory: 52497 grad_norm: 78.2969 loss: 3.1286 top1_acc: 0.2812 top5_acc: 0.5938 loss_cls: 3.1286 2023/02/14 19:27:47 - mmengine - INFO - Epoch(train) [2][700/940] lr: 4.1392e-06 eta: 18:20:06 time: 1.3163 data_time: 0.0624 memory: 52497 grad_norm: 77.4237 loss: 2.9877 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.9877 2023/02/14 19:29:54 - mmengine - INFO - Epoch(train) [2][800/940] lr: 4.3307e-06 eta: 18:15:21 time: 1.2019 data_time: 0.0291 memory: 52497 grad_norm: 76.4564 loss: 2.9241 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.9241 2023/02/14 19:32:05 - mmengine - INFO - Epoch(train) [2][900/940] lr: 4.5222e-06 eta: 18:12:42 time: 1.3124 data_time: 0.0552 memory: 52497 grad_norm: 76.1225 loss: 2.8707 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.8707 2023/02/14 19:32:54 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 19:32:54 - mmengine - INFO - Epoch(train) [2][940/940] lr: 4.5989e-06 eta: 18:10:14 time: 1.0786 data_time: 0.0305 memory: 52497 grad_norm: 78.6243 loss: 2.9203 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.9203 2023/02/14 19:33:15 - mmengine - INFO - Epoch(val) [2][100/310] eta: 0:00:44 time: 0.1856 data_time: 0.1052 memory: 2891 2023/02/14 19:33:36 - mmengine - INFO - Epoch(val) [2][200/310] eta: 0:00:23 time: 0.1937 data_time: 0.1135 memory: 2891 2023/02/14 19:33:56 - mmengine - INFO - Epoch(val) [2][300/310] eta: 0:00:02 time: 0.2078 data_time: 0.1272 memory: 2891 2023/02/14 19:34:01 - mmengine - INFO - Epoch(val) [2][310/310] acc/top1: 0.5503 acc/top5: 0.8300 acc/mean1: 0.5503 2023/02/14 19:34:01 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_1.pth is removed 2023/02/14 19:34:03 - mmengine - INFO - The best checkpoint with 0.5503 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2023/02/14 19:36:29 - mmengine - INFO - Epoch(train) [3][100/940] lr: 4.7904e-06 eta: 18:14:04 time: 1.3097 data_time: 0.2058 memory: 52497 grad_norm: 75.1634 loss: 2.6657 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.6657 2023/02/14 19:36:54 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 19:38:38 - mmengine - INFO - Epoch(train) [3][200/940] lr: 4.9819e-06 eta: 18:10:31 time: 1.2805 data_time: 0.1743 memory: 52497 grad_norm: 74.0004 loss: 2.6310 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.6310 2023/02/14 19:40:46 - mmengine - INFO - Epoch(train) [3][300/940] lr: 5.1734e-06 eta: 18:06:51 time: 1.2771 data_time: 0.1555 memory: 52497 grad_norm: 72.6272 loss: 2.6612 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.6612 2023/02/14 19:42:54 - mmengine - INFO - Epoch(train) [3][400/940] lr: 5.3650e-06 eta: 18:03:38 time: 1.2364 data_time: 0.1173 memory: 52497 grad_norm: 72.0957 loss: 2.4551 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.4551 2023/02/14 19:45:04 - mmengine - INFO - Epoch(train) [3][500/940] lr: 5.5565e-06 eta: 18:00:36 time: 1.2814 data_time: 0.1721 memory: 52497 grad_norm: 69.8029 loss: 2.6178 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.6178 2023/02/14 19:47:13 - mmengine - INFO - Epoch(train) [3][600/940] lr: 5.7480e-06 eta: 17:57:51 time: 1.2700 data_time: 0.1502 memory: 52497 grad_norm: 68.5288 loss: 2.4653 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.4653 2023/02/14 19:49:22 - mmengine - INFO - Epoch(train) [3][700/940] lr: 5.9396e-06 eta: 17:54:46 time: 1.3396 data_time: 0.2180 memory: 52497 grad_norm: 66.5326 loss: 2.4269 top1_acc: 0.4375 top5_acc: 0.5312 loss_cls: 2.4269 2023/02/14 19:51:29 - mmengine - INFO - Epoch(train) [3][800/940] lr: 6.1311e-06 eta: 17:51:18 time: 1.2417 data_time: 0.1222 memory: 52497 grad_norm: 65.1999 loss: 2.3337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3337 2023/02/14 19:53:41 - mmengine - INFO - Epoch(train) [3][900/940] lr: 6.3226e-06 eta: 17:49:28 time: 1.3094 data_time: 0.1858 memory: 52497 grad_norm: 63.1282 loss: 2.3177 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.3177 2023/02/14 19:54:29 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 19:54:29 - mmengine - INFO - Epoch(train) [3][940/940] lr: 6.3992e-06 eta: 17:47:16 time: 1.1303 data_time: 0.0223 memory: 52497 grad_norm: 66.6369 loss: 2.1719 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.1719 2023/02/14 19:54:29 - mmengine - INFO - Saving checkpoint at 3 epochs 2023/02/14 19:54:55 - mmengine - INFO - Epoch(val) [3][100/310] eta: 0:00:44 time: 0.2098 data_time: 0.1283 memory: 2891 2023/02/14 19:55:15 - mmengine - INFO - Epoch(val) [3][200/310] eta: 0:00:22 time: 0.1828 data_time: 0.1019 memory: 2891 2023/02/14 19:55:35 - mmengine - INFO - Epoch(val) [3][300/310] eta: 0:00:02 time: 0.1695 data_time: 0.0916 memory: 2891 2023/02/14 19:55:38 - mmengine - INFO - Epoch(val) [3][310/310] acc/top1: 0.6506 acc/top5: 0.8857 acc/mean1: 0.6505 2023/02/14 19:55:38 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_2.pth is removed 2023/02/14 19:55:40 - mmengine - INFO - The best checkpoint with 0.6506 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2023/02/14 19:58:00 - mmengine - INFO - Epoch(train) [4][100/940] lr: 6.5908e-06 eta: 17:47:35 time: 1.3351 data_time: 0.2146 memory: 52497 grad_norm: 64.3722 loss: 2.3623 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 2.3623 2023/02/14 19:59:42 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 20:00:07 - mmengine - INFO - Epoch(train) [4][200/940] lr: 6.7823e-06 eta: 17:44:13 time: 1.2425 data_time: 0.1185 memory: 52497 grad_norm: 60.6101 loss: 2.3393 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3393 2023/02/14 20:02:17 - mmengine - INFO - Epoch(train) [4][300/940] lr: 6.9738e-06 eta: 17:41:47 time: 1.3539 data_time: 0.1337 memory: 52497 grad_norm: 65.1814 loss: 2.5259 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 2.5259 2023/02/14 20:04:26 - mmengine - INFO - Epoch(train) [4][400/940] lr: 7.1654e-06 eta: 17:38:58 time: 1.2724 data_time: 0.0457 memory: 52497 grad_norm: 57.8996 loss: 2.2182 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2182 2023/02/14 20:06:37 - mmengine - INFO - Epoch(train) [4][500/940] lr: 7.3569e-06 eta: 17:36:56 time: 1.3872 data_time: 0.0320 memory: 52497 grad_norm: 58.6639 loss: 2.2719 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 2.2719 2023/02/14 20:08:44 - mmengine - INFO - Epoch(train) [4][600/940] lr: 7.5484e-06 eta: 17:33:41 time: 1.3151 data_time: 0.0347 memory: 52497 grad_norm: 57.4412 loss: 2.3039 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.3039 2023/02/14 20:10:53 - mmengine - INFO - Epoch(train) [4][700/940] lr: 7.7399e-06 eta: 17:31:08 time: 1.2726 data_time: 0.0317 memory: 52497 grad_norm: 55.2311 loss: 2.2094 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 2.2094 2023/02/14 20:13:01 - mmengine - INFO - Epoch(train) [4][800/940] lr: 7.9315e-06 eta: 17:28:14 time: 1.2433 data_time: 0.0337 memory: 52497 grad_norm: 53.6599 loss: 2.1833 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.1833 2023/02/14 20:15:10 - mmengine - INFO - Epoch(train) [4][900/940] lr: 8.1230e-06 eta: 17:25:46 time: 1.3200 data_time: 0.0298 memory: 52497 grad_norm: 52.9878 loss: 2.2334 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 2.2334 2023/02/14 20:15:57 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 20:15:57 - mmengine - INFO - Epoch(train) [4][940/940] lr: 8.1996e-06 eta: 17:23:39 time: 1.1618 data_time: 0.0235 memory: 52497 grad_norm: 56.2873 loss: 2.1024 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.1024 2023/02/14 20:16:18 - mmengine - INFO - Epoch(val) [4][100/310] eta: 0:00:44 time: 0.2025 data_time: 0.1215 memory: 2891 2023/02/14 20:16:38 - mmengine - INFO - Epoch(val) [4][200/310] eta: 0:00:22 time: 0.1827 data_time: 0.1016 memory: 2891 2023/02/14 20:16:59 - mmengine - INFO - Epoch(val) [4][300/310] eta: 0:00:02 time: 0.2117 data_time: 0.1307 memory: 2891 2023/02/14 20:17:04 - mmengine - INFO - Epoch(val) [4][310/310] acc/top1: 0.6870 acc/top5: 0.9040 acc/mean1: 0.6868 2023/02/14 20:17:04 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_3.pth is removed 2023/02/14 20:17:06 - mmengine - INFO - The best checkpoint with 0.6870 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2023/02/14 20:19:27 - mmengine - INFO - Epoch(train) [5][100/940] lr: 8.3911e-06 eta: 17:23:33 time: 1.3792 data_time: 0.2701 memory: 52497 grad_norm: 51.4513 loss: 2.1277 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1277 2023/02/14 20:21:33 - mmengine - INFO - Epoch(train) [5][200/940] lr: 8.5827e-06 eta: 17:20:26 time: 1.2697 data_time: 0.1659 memory: 52497 grad_norm: 51.0461 loss: 2.1948 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1948 2023/02/14 20:22:25 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 20:23:42 - mmengine - INFO - Epoch(train) [5][300/940] lr: 8.7742e-06 eta: 17:17:58 time: 1.3168 data_time: 0.0468 memory: 52497 grad_norm: 49.2096 loss: 2.1979 top1_acc: 0.6250 top5_acc: 0.6562 loss_cls: 2.1979 2023/02/14 20:25:53 - mmengine - INFO - Epoch(train) [5][400/940] lr: 8.9657e-06 eta: 17:15:50 time: 1.2439 data_time: 0.0318 memory: 52497 grad_norm: 49.2501 loss: 2.1359 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1359 2023/02/14 20:28:03 - mmengine - INFO - Epoch(train) [5][500/940] lr: 9.1573e-06 eta: 17:13:28 time: 1.3191 data_time: 0.0335 memory: 52497 grad_norm: 49.1038 loss: 2.0742 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0742 2023/02/14 20:30:12 - mmengine - INFO - Epoch(train) [5][600/940] lr: 9.3488e-06 eta: 17:10:56 time: 1.2964 data_time: 0.0336 memory: 52497 grad_norm: 48.4524 loss: 1.9933 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9933 2023/02/14 20:32:21 - mmengine - INFO - Epoch(train) [5][700/940] lr: 9.5403e-06 eta: 17:08:36 time: 1.2616 data_time: 0.0355 memory: 52497 grad_norm: 47.6920 loss: 2.0680 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0680 2023/02/14 20:34:31 - mmengine - INFO - Epoch(train) [5][800/940] lr: 9.7319e-06 eta: 17:06:10 time: 1.2518 data_time: 0.0413 memory: 52497 grad_norm: 46.4440 loss: 2.1144 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1144 2023/02/14 20:36:41 - mmengine - INFO - Epoch(train) [5][900/940] lr: 9.9234e-06 eta: 17:04:01 time: 1.3171 data_time: 0.0330 memory: 52497 grad_norm: 45.6488 loss: 2.0353 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 2.0353 2023/02/14 20:37:30 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 20:37:30 - mmengine - INFO - Epoch(train) [5][940/940] lr: 1.0000e-05 eta: 17:02:29 time: 1.0937 data_time: 0.0219 memory: 52497 grad_norm: 46.4356 loss: 1.9944 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.9944 2023/02/14 20:37:51 - mmengine - INFO - Epoch(val) [5][100/310] eta: 0:00:43 time: 0.1886 data_time: 0.1075 memory: 2891 2023/02/14 20:38:12 - mmengine - INFO - Epoch(val) [5][200/310] eta: 0:00:23 time: 0.2019 data_time: 0.1213 memory: 2891 2023/02/14 20:38:32 - mmengine - INFO - Epoch(val) [5][300/310] eta: 0:00:02 time: 0.2103 data_time: 0.1292 memory: 2891 2023/02/14 20:38:37 - mmengine - INFO - Epoch(val) [5][310/310] acc/top1: 0.7136 acc/top5: 0.9133 acc/mean1: 0.7135 2023/02/14 20:38:37 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_4.pth is removed 2023/02/14 20:38:39 - mmengine - INFO - The best checkpoint with 0.7136 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2023/02/14 20:40:58 - mmengine - INFO - Epoch(train) [6][100/940] lr: 9.9999e-06 eta: 17:01:48 time: 1.3703 data_time: 0.0353 memory: 52497 grad_norm: 44.3561 loss: 1.9520 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.9520 2023/02/14 20:43:08 - mmengine - INFO - Epoch(train) [6][200/940] lr: 9.9996e-06 eta: 16:59:28 time: 1.3727 data_time: 0.1453 memory: 52497 grad_norm: 43.3524 loss: 1.9861 top1_acc: 0.3750 top5_acc: 0.7812 loss_cls: 1.9861 2023/02/14 20:45:16 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 20:45:16 - mmengine - INFO - Epoch(train) [6][300/940] lr: 9.9991e-06 eta: 16:56:50 time: 1.2358 data_time: 0.1153 memory: 52497 grad_norm: 43.0770 loss: 1.9678 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 1.9678 2023/02/14 20:47:23 - mmengine - INFO - Epoch(train) [6][400/940] lr: 9.9984e-06 eta: 16:54:08 time: 1.2527 data_time: 0.1407 memory: 52497 grad_norm: 42.6085 loss: 1.9559 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.9559 2023/02/14 20:49:32 - mmengine - INFO - Epoch(train) [6][500/940] lr: 9.9975e-06 eta: 16:51:42 time: 1.3149 data_time: 0.0947 memory: 52497 grad_norm: 42.4120 loss: 2.0759 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0759 2023/02/14 20:51:42 - mmengine - INFO - Epoch(train) [6][600/940] lr: 9.9964e-06 eta: 16:49:23 time: 1.2931 data_time: 0.0887 memory: 52497 grad_norm: 41.9112 loss: 1.9507 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.9507 2023/02/14 20:53:51 - mmengine - INFO - Epoch(train) [6][700/940] lr: 9.9951e-06 eta: 16:47:01 time: 1.3168 data_time: 0.0298 memory: 52497 grad_norm: 42.4045 loss: 1.9518 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.9518 2023/02/14 20:55:59 - mmengine - INFO - Epoch(train) [6][800/940] lr: 9.9936e-06 eta: 16:44:34 time: 1.3047 data_time: 0.1985 memory: 52497 grad_norm: 41.1467 loss: 2.0012 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0012 2023/02/14 20:58:09 - mmengine - INFO - Epoch(train) [6][900/940] lr: 9.9919e-06 eta: 16:42:18 time: 1.3061 data_time: 0.1885 memory: 52497 grad_norm: 39.6923 loss: 1.8002 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.8002 2023/02/14 20:58:58 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 20:58:58 - mmengine - INFO - Epoch(train) [6][940/940] lr: 9.9911e-06 eta: 16:40:57 time: 1.1559 data_time: 0.1088 memory: 52497 grad_norm: 42.5613 loss: 2.0446 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.0446 2023/02/14 20:58:58 - mmengine - INFO - Saving checkpoint at 6 epochs 2023/02/14 20:59:24 - mmengine - INFO - Epoch(val) [6][100/310] eta: 0:00:44 time: 0.2057 data_time: 0.1247 memory: 2891 2023/02/14 20:59:44 - mmengine - INFO - Epoch(val) [6][200/310] eta: 0:00:23 time: 0.1772 data_time: 0.0961 memory: 2891 2023/02/14 21:00:04 - mmengine - INFO - Epoch(val) [6][300/310] eta: 0:00:02 time: 0.1668 data_time: 0.0890 memory: 2891 2023/02/14 21:00:07 - mmengine - INFO - Epoch(val) [6][310/310] acc/top1: 0.7350 acc/top5: 0.9242 acc/mean1: 0.7351 2023/02/14 21:00:07 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_5.pth is removed 2023/02/14 21:00:10 - mmengine - INFO - The best checkpoint with 0.7350 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2023/02/14 21:02:27 - mmengine - INFO - Epoch(train) [7][100/940] lr: 9.9892e-06 eta: 16:39:42 time: 1.2408 data_time: 0.0797 memory: 52497 grad_norm: 41.1502 loss: 2.0828 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0828 2023/02/14 21:04:36 - mmengine - INFO - Epoch(train) [7][200/940] lr: 9.9870e-06 eta: 16:37:19 time: 1.2748 data_time: 0.0280 memory: 52497 grad_norm: 40.3796 loss: 2.1537 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.1537 2023/02/14 21:06:43 - mmengine - INFO - Epoch(train) [7][300/940] lr: 9.9846e-06 eta: 16:34:42 time: 1.2774 data_time: 0.0464 memory: 52497 grad_norm: 39.6254 loss: 1.8460 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.8460 2023/02/14 21:08:00 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 21:08:51 - mmengine - INFO - Epoch(train) [7][400/940] lr: 9.9820e-06 eta: 16:32:13 time: 1.3044 data_time: 0.1831 memory: 52497 grad_norm: 41.7617 loss: 1.6336 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6336 2023/02/14 21:11:01 - mmengine - INFO - Epoch(train) [7][500/940] lr: 9.9792e-06 eta: 16:30:01 time: 1.3895 data_time: 0.2683 memory: 52497 grad_norm: 39.0230 loss: 1.8858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8858 2023/02/14 21:13:08 - mmengine - INFO - Epoch(train) [7][600/940] lr: 9.9762e-06 eta: 16:27:22 time: 1.2704 data_time: 0.1370 memory: 52497 grad_norm: 38.8462 loss: 1.7753 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7753 2023/02/14 21:15:17 - mmengine - INFO - Epoch(train) [7][700/940] lr: 9.9730e-06 eta: 16:25:07 time: 1.2948 data_time: 0.1793 memory: 52497 grad_norm: 37.7926 loss: 1.9350 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.9350 2023/02/14 21:17:26 - mmengine - INFO - Epoch(train) [7][800/940] lr: 9.9696e-06 eta: 16:22:44 time: 1.2494 data_time: 0.1291 memory: 52497 grad_norm: 39.0723 loss: 1.7908 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7908 2023/02/14 21:19:36 - mmengine - INFO - Epoch(train) [7][900/940] lr: 9.9660e-06 eta: 16:20:32 time: 1.3475 data_time: 0.2260 memory: 52497 grad_norm: 38.0742 loss: 1.8579 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8579 2023/02/14 21:20:24 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 21:20:24 - mmengine - INFO - Epoch(train) [7][940/940] lr: 9.9646e-06 eta: 16:19:15 time: 1.1364 data_time: 0.0823 memory: 52497 grad_norm: 39.7274 loss: 1.8871 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8871 2023/02/14 21:20:46 - mmengine - INFO - Epoch(val) [7][100/310] eta: 0:00:45 time: 0.2118 data_time: 0.1309 memory: 2891 2023/02/14 21:21:06 - mmengine - INFO - Epoch(val) [7][200/310] eta: 0:00:22 time: 0.1905 data_time: 0.1093 memory: 2891 2023/02/14 21:21:26 - mmengine - INFO - Epoch(val) [7][300/310] eta: 0:00:02 time: 0.2023 data_time: 0.1218 memory: 2891 2023/02/14 21:21:32 - mmengine - INFO - Epoch(val) [7][310/310] acc/top1: 0.7511 acc/top5: 0.9272 acc/mean1: 0.7511 2023/02/14 21:21:32 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_6.pth is removed 2023/02/14 21:21:34 - mmengine - INFO - The best checkpoint with 0.7511 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2023/02/14 21:23:54 - mmengine - INFO - Epoch(train) [8][100/940] lr: 9.9607e-06 eta: 16:18:11 time: 1.3300 data_time: 0.2101 memory: 52497 grad_norm: 38.0162 loss: 1.7939 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7939 2023/02/14 21:26:02 - mmengine - INFO - Epoch(train) [8][200/940] lr: 9.9566e-06 eta: 16:15:40 time: 1.1900 data_time: 0.0431 memory: 52497 grad_norm: 37.8856 loss: 1.7876 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7876 2023/02/14 21:28:11 - mmengine - INFO - Epoch(train) [8][300/940] lr: 9.9524e-06 eta: 16:13:26 time: 1.2968 data_time: 0.0303 memory: 52497 grad_norm: 39.0128 loss: 1.6995 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.6995 2023/02/14 21:30:20 - mmengine - INFO - Epoch(train) [8][400/940] lr: 9.9479e-06 eta: 16:11:03 time: 1.2953 data_time: 0.0323 memory: 52497 grad_norm: 36.3737 loss: 1.7368 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7368 2023/02/14 21:30:45 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 21:32:28 - mmengine - INFO - Epoch(train) [8][500/940] lr: 9.9432e-06 eta: 16:08:39 time: 1.3163 data_time: 0.0275 memory: 52497 grad_norm: 37.3711 loss: 1.6736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6736 2023/02/14 21:34:37 - mmengine - INFO - Epoch(train) [8][600/940] lr: 9.9384e-06 eta: 16:06:24 time: 1.2914 data_time: 0.0363 memory: 52497 grad_norm: 36.8124 loss: 1.7259 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7259 2023/02/14 21:36:46 - mmengine - INFO - Epoch(train) [8][700/940] lr: 9.9333e-06 eta: 16:04:05 time: 1.2795 data_time: 0.0300 memory: 52497 grad_norm: 36.7044 loss: 1.8433 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.8433 2023/02/14 21:38:53 - mmengine - INFO - Epoch(train) [8][800/940] lr: 9.9280e-06 eta: 16:01:33 time: 1.3061 data_time: 0.0412 memory: 52497 grad_norm: 36.2596 loss: 1.8840 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.8840 2023/02/14 21:41:05 - mmengine - INFO - Epoch(train) [8][900/940] lr: 9.9226e-06 eta: 15:59:35 time: 1.3914 data_time: 0.0307 memory: 52497 grad_norm: 35.2124 loss: 1.8007 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.8007 2023/02/14 21:41:53 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 21:41:53 - mmengine - INFO - Epoch(train) [8][940/940] lr: 9.9203e-06 eta: 15:58:17 time: 1.1169 data_time: 0.0192 memory: 52497 grad_norm: 38.8546 loss: 1.7558 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7558 2023/02/14 21:42:14 - mmengine - INFO - Epoch(val) [8][100/310] eta: 0:00:44 time: 0.1974 data_time: 0.1159 memory: 2891 2023/02/14 21:42:34 - mmengine - INFO - Epoch(val) [8][200/310] eta: 0:00:23 time: 0.2008 data_time: 0.1201 memory: 2891 2023/02/14 21:42:55 - mmengine - INFO - Epoch(val) [8][300/310] eta: 0:00:02 time: 0.2025 data_time: 0.1221 memory: 2891 2023/02/14 21:43:00 - mmengine - INFO - Epoch(val) [8][310/310] acc/top1: 0.7556 acc/top5: 0.9315 acc/mean1: 0.7556 2023/02/14 21:43:00 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_7.pth is removed 2023/02/14 21:43:02 - mmengine - INFO - The best checkpoint with 0.7556 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2023/02/14 21:45:23 - mmengine - INFO - Epoch(train) [9][100/940] lr: 9.9146e-06 eta: 15:57:09 time: 1.3292 data_time: 0.2232 memory: 52497 grad_norm: 35.3851 loss: 1.7590 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7590 2023/02/14 21:47:31 - mmengine - INFO - Epoch(train) [9][200/940] lr: 9.9087e-06 eta: 15:54:43 time: 1.2185 data_time: 0.1008 memory: 52497 grad_norm: 36.5107 loss: 1.6520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6520 2023/02/14 21:49:39 - mmengine - INFO - Epoch(train) [9][300/940] lr: 9.9026e-06 eta: 15:52:23 time: 1.3403 data_time: 0.2346 memory: 52497 grad_norm: 35.3874 loss: 1.7543 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.7543 2023/02/14 21:51:46 - mmengine - INFO - Epoch(train) [9][400/940] lr: 9.8962e-06 eta: 15:49:57 time: 1.2753 data_time: 0.1577 memory: 52497 grad_norm: 35.6023 loss: 1.6175 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.6175 2023/02/14 21:53:28 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 21:53:55 - mmengine - INFO - Epoch(train) [9][500/940] lr: 9.8897e-06 eta: 15:47:36 time: 1.3183 data_time: 0.1608 memory: 52497 grad_norm: 35.4029 loss: 1.6397 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6397 2023/02/14 21:56:03 - mmengine - INFO - Epoch(train) [9][600/940] lr: 9.8830e-06 eta: 15:45:15 time: 1.2971 data_time: 0.1112 memory: 52497 grad_norm: 37.1716 loss: 1.5431 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5431 2023/02/14 21:58:10 - mmengine - INFO - Epoch(train) [9][700/940] lr: 9.8761e-06 eta: 15:42:51 time: 1.2396 data_time: 0.0365 memory: 52497 grad_norm: 35.9387 loss: 1.8963 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.8963 2023/02/14 22:00:18 - mmengine - INFO - Epoch(train) [9][800/940] lr: 9.8690e-06 eta: 15:40:27 time: 1.2419 data_time: 0.0321 memory: 52497 grad_norm: 36.3165 loss: 1.5727 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5727 2023/02/14 22:02:27 - mmengine - INFO - Epoch(train) [9][900/940] lr: 9.8617e-06 eta: 15:38:12 time: 1.2207 data_time: 0.0350 memory: 52497 grad_norm: 34.4092 loss: 1.7377 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7377 2023/02/14 22:03:16 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 22:03:16 - mmengine - INFO - Epoch(train) [9][940/940] lr: 9.8587e-06 eta: 15:37:03 time: 1.1528 data_time: 0.0234 memory: 52497 grad_norm: 37.4866 loss: 1.7307 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7307 2023/02/14 22:03:16 - mmengine - INFO - Saving checkpoint at 9 epochs 2023/02/14 22:03:41 - mmengine - INFO - Epoch(val) [9][100/310] eta: 0:00:44 time: 0.1952 data_time: 0.1147 memory: 2891 2023/02/14 22:04:01 - mmengine - INFO - Epoch(val) [9][200/310] eta: 0:00:22 time: 0.1862 data_time: 0.1047 memory: 2891 2023/02/14 22:04:22 - mmengine - INFO - Epoch(val) [9][300/310] eta: 0:00:02 time: 0.1699 data_time: 0.0915 memory: 2891 2023/02/14 22:04:25 - mmengine - INFO - Epoch(val) [9][310/310] acc/top1: 0.7633 acc/top5: 0.9361 acc/mean1: 0.7633 2023/02/14 22:04:25 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_8.pth is removed 2023/02/14 22:04:27 - mmengine - INFO - The best checkpoint with 0.7633 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2023/02/14 22:06:44 - mmengine - INFO - Epoch(train) [10][100/940] lr: 9.8511e-06 eta: 15:35:27 time: 1.3107 data_time: 0.0689 memory: 52497 grad_norm: 37.1461 loss: 1.7326 top1_acc: 0.6562 top5_acc: 0.7188 loss_cls: 1.7326 2023/02/14 22:08:53 - mmengine - INFO - Epoch(train) [10][200/940] lr: 9.8434e-06 eta: 15:33:15 time: 1.2563 data_time: 0.1528 memory: 52497 grad_norm: 35.3811 loss: 1.7181 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7181 2023/02/14 22:11:02 - mmengine - INFO - Epoch(train) [10][300/940] lr: 9.8354e-06 eta: 15:30:58 time: 1.3822 data_time: 0.0378 memory: 52497 grad_norm: 33.7584 loss: 1.6150 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6150 2023/02/14 22:13:11 - mmengine - INFO - Epoch(train) [10][400/940] lr: 9.8272e-06 eta: 15:28:42 time: 1.2366 data_time: 0.1129 memory: 52497 grad_norm: 34.4283 loss: 1.6034 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.6034 2023/02/14 22:15:21 - mmengine - INFO - Epoch(train) [10][500/940] lr: 9.8189e-06 eta: 15:26:32 time: 1.2773 data_time: 0.0353 memory: 52497 grad_norm: 34.2419 loss: 1.6820 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6820 2023/02/14 22:16:13 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 22:17:31 - mmengine - INFO - Epoch(train) [10][600/940] lr: 9.8103e-06 eta: 15:24:20 time: 1.2407 data_time: 0.0328 memory: 52497 grad_norm: 36.3908 loss: 1.6228 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6228 2023/02/14 22:19:40 - mmengine - INFO - Epoch(train) [10][700/940] lr: 9.8016e-06 eta: 15:22:08 time: 1.2989 data_time: 0.0333 memory: 52497 grad_norm: 34.4845 loss: 1.6766 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.6766 2023/02/14 22:21:50 - mmengine - INFO - Epoch(train) [10][800/940] lr: 9.7927e-06 eta: 15:19:54 time: 1.3118 data_time: 0.0307 memory: 52497 grad_norm: 34.7755 loss: 1.5944 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5944 2023/02/14 22:23:57 - mmengine - INFO - Epoch(train) [10][900/940] lr: 9.7835e-06 eta: 15:17:34 time: 1.3573 data_time: 0.0329 memory: 52497 grad_norm: 34.4961 loss: 1.6847 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6847 2023/02/14 22:24:44 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 22:24:44 - mmengine - INFO - Epoch(train) [10][940/940] lr: 9.7798e-06 eta: 15:16:17 time: 1.1192 data_time: 0.0231 memory: 52497 grad_norm: 36.3268 loss: 1.7673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7673 2023/02/14 22:25:05 - mmengine - INFO - Epoch(val) [10][100/310] eta: 0:00:44 time: 0.2161 data_time: 0.1349 memory: 2891 2023/02/14 22:25:25 - mmengine - INFO - Epoch(val) [10][200/310] eta: 0:00:22 time: 0.1906 data_time: 0.1097 memory: 2891 2023/02/14 22:25:46 - mmengine - INFO - Epoch(val) [10][300/310] eta: 0:00:02 time: 0.2155 data_time: 0.1349 memory: 2891 2023/02/14 22:25:50 - mmengine - INFO - Epoch(val) [10][310/310] acc/top1: 0.7713 acc/top5: 0.9376 acc/mean1: 0.7713 2023/02/14 22:25:51 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_9.pth is removed 2023/02/14 22:25:53 - mmengine - INFO - The best checkpoint with 0.7713 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2023/02/14 22:28:14 - mmengine - INFO - Epoch(train) [11][100/940] lr: 9.7705e-06 eta: 15:14:56 time: 1.3036 data_time: 0.1961 memory: 52497 grad_norm: 33.2878 loss: 1.3930 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3930 2023/02/14 22:30:23 - mmengine - INFO - Epoch(train) [11][200/940] lr: 9.7609e-06 eta: 15:12:43 time: 1.2307 data_time: 0.1139 memory: 52497 grad_norm: 33.4562 loss: 1.6557 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6557 2023/02/14 22:32:33 - mmengine - INFO - Epoch(train) [11][300/940] lr: 9.7511e-06 eta: 15:10:32 time: 1.3552 data_time: 0.0434 memory: 52497 grad_norm: 35.4082 loss: 1.8260 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8260 2023/02/14 22:34:42 - mmengine - INFO - Epoch(train) [11][400/940] lr: 9.7411e-06 eta: 15:08:15 time: 1.1894 data_time: 0.0333 memory: 52497 grad_norm: 34.5216 loss: 1.5673 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5673 2023/02/14 22:36:50 - mmengine - INFO - Epoch(train) [11][500/940] lr: 9.7310e-06 eta: 15:05:56 time: 1.2643 data_time: 0.0312 memory: 52497 grad_norm: 33.7685 loss: 1.5558 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.5558 2023/02/14 22:38:59 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 22:38:59 - mmengine - INFO - Epoch(train) [11][600/940] lr: 9.7207e-06 eta: 15:03:42 time: 1.2801 data_time: 0.0356 memory: 52497 grad_norm: 33.2359 loss: 1.6201 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.6201 2023/02/14 22:41:08 - mmengine - INFO - Epoch(train) [11][700/940] lr: 9.7101e-06 eta: 15:01:30 time: 1.3494 data_time: 0.0337 memory: 52497 grad_norm: 34.5042 loss: 1.4960 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4960 2023/02/14 22:43:17 - mmengine - INFO - Epoch(train) [11][800/940] lr: 9.6994e-06 eta: 14:59:14 time: 1.3084 data_time: 0.0367 memory: 52497 grad_norm: 34.5016 loss: 1.6391 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6391 2023/02/14 22:45:24 - mmengine - INFO - Epoch(train) [11][900/940] lr: 9.6885e-06 eta: 14:56:54 time: 1.2537 data_time: 0.0376 memory: 52497 grad_norm: 33.5534 loss: 1.5697 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5697 2023/02/14 22:46:14 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 22:46:14 - mmengine - INFO - Epoch(train) [11][940/940] lr: 9.6841e-06 eta: 14:55:52 time: 1.1653 data_time: 0.0548 memory: 52497 grad_norm: 36.2947 loss: 1.4697 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4697 2023/02/14 22:46:35 - mmengine - INFO - Epoch(val) [11][100/310] eta: 0:00:44 time: 0.2140 data_time: 0.1335 memory: 2891 2023/02/14 22:46:55 - mmengine - INFO - Epoch(val) [11][200/310] eta: 0:00:22 time: 0.1765 data_time: 0.0957 memory: 2891 2023/02/14 22:47:16 - mmengine - INFO - Epoch(val) [11][300/310] eta: 0:00:02 time: 0.2136 data_time: 0.1320 memory: 2891 2023/02/14 22:47:20 - mmengine - INFO - Epoch(val) [11][310/310] acc/top1: 0.7793 acc/top5: 0.9408 acc/mean1: 0.7793 2023/02/14 22:47:20 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_10.pth is removed 2023/02/14 22:47:23 - mmengine - INFO - The best checkpoint with 0.7793 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2023/02/14 22:49:41 - mmengine - INFO - Epoch(train) [12][100/940] lr: 9.6729e-06 eta: 14:54:17 time: 1.3210 data_time: 0.2022 memory: 52497 grad_norm: 34.3742 loss: 1.5985 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5985 2023/02/14 22:51:51 - mmengine - INFO - Epoch(train) [12][200/940] lr: 9.6616e-06 eta: 14:52:03 time: 1.2520 data_time: 0.1501 memory: 52497 grad_norm: 32.5546 loss: 1.5226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5226 2023/02/14 22:54:00 - mmengine - INFO - Epoch(train) [12][300/940] lr: 9.6501e-06 eta: 14:49:49 time: 1.3302 data_time: 0.2267 memory: 52497 grad_norm: 33.7677 loss: 1.5628 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5628 2023/02/14 22:56:08 - mmengine - INFO - Epoch(train) [12][400/940] lr: 9.6383e-06 eta: 14:47:32 time: 1.2649 data_time: 0.1535 memory: 52497 grad_norm: 31.9575 loss: 1.5069 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.5069 2023/02/14 22:58:15 - mmengine - INFO - Epoch(train) [12][500/940] lr: 9.6264e-06 eta: 14:45:11 time: 1.2061 data_time: 0.0903 memory: 52497 grad_norm: 32.5345 loss: 1.5158 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5158 2023/02/14 23:00:23 - mmengine - INFO - Epoch(train) [12][600/940] lr: 9.6143e-06 eta: 14:42:55 time: 1.2451 data_time: 0.1241 memory: 52497 grad_norm: 35.2891 loss: 1.6487 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6487 2023/02/14 23:01:42 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 23:02:34 - mmengine - INFO - Epoch(train) [12][700/940] lr: 9.6021e-06 eta: 14:40:47 time: 1.3155 data_time: 0.0694 memory: 52497 grad_norm: 32.3867 loss: 1.3517 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3517 2023/02/14 23:04:43 - mmengine - INFO - Epoch(train) [12][800/940] lr: 9.5896e-06 eta: 14:38:36 time: 1.3491 data_time: 0.2118 memory: 52497 grad_norm: 34.8777 loss: 1.6209 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6209 2023/02/14 23:06:52 - mmengine - INFO - Epoch(train) [12][900/940] lr: 9.5770e-06 eta: 14:36:21 time: 1.3181 data_time: 0.0320 memory: 52497 grad_norm: 31.2225 loss: 1.3364 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.3364 2023/02/14 23:07:41 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 23:07:41 - mmengine - INFO - Epoch(train) [12][940/940] lr: 9.5718e-06 eta: 14:35:18 time: 1.1022 data_time: 0.0184 memory: 52497 grad_norm: 34.3834 loss: 1.5362 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5362 2023/02/14 23:07:41 - mmengine - INFO - Saving checkpoint at 12 epochs 2023/02/14 23:08:06 - mmengine - INFO - Epoch(val) [12][100/310] eta: 0:00:43 time: 0.1943 data_time: 0.1139 memory: 2891 2023/02/14 23:08:27 - mmengine - INFO - Epoch(val) [12][200/310] eta: 0:00:22 time: 0.1948 data_time: 0.1138 memory: 2891 2023/02/14 23:08:47 - mmengine - INFO - Epoch(val) [12][300/310] eta: 0:00:02 time: 0.1667 data_time: 0.0892 memory: 2891 2023/02/14 23:08:50 - mmengine - INFO - Epoch(val) [12][310/310] acc/top1: 0.7815 acc/top5: 0.9440 acc/mean1: 0.7814 2023/02/14 23:08:50 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_11.pth is removed 2023/02/14 23:08:52 - mmengine - INFO - The best checkpoint with 0.7815 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2023/02/14 23:11:12 - mmengine - INFO - Epoch(train) [13][100/940] lr: 9.5590e-06 eta: 14:33:42 time: 1.4065 data_time: 0.2246 memory: 52497 grad_norm: 33.5692 loss: 1.5780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5780 2023/02/14 23:13:22 - mmengine - INFO - Epoch(train) [13][200/940] lr: 9.5459e-06 eta: 14:31:32 time: 1.3767 data_time: 0.0314 memory: 52497 grad_norm: 31.9084 loss: 1.3997 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3997 2023/02/14 23:15:27 - mmengine - INFO - Epoch(train) [13][300/940] lr: 9.5326e-06 eta: 14:29:06 time: 1.2041 data_time: 0.0347 memory: 52497 grad_norm: 32.0681 loss: 1.4385 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4385 2023/02/14 23:17:35 - mmengine - INFO - Epoch(train) [13][400/940] lr: 9.5192e-06 eta: 14:26:47 time: 1.3273 data_time: 0.1063 memory: 52497 grad_norm: 32.0576 loss: 1.5803 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.5803 2023/02/14 23:19:46 - mmengine - INFO - Epoch(train) [13][500/940] lr: 9.5056e-06 eta: 14:24:41 time: 1.2796 data_time: 0.0382 memory: 52497 grad_norm: 31.3520 loss: 1.4099 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4099 2023/02/14 23:21:53 - mmengine - INFO - Epoch(train) [13][600/940] lr: 9.4918e-06 eta: 14:22:23 time: 1.2085 data_time: 0.0895 memory: 52497 grad_norm: 30.9277 loss: 1.6484 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6484 2023/02/14 23:25:37 - mmengine - INFO - Epoch(train) [13][700/940] lr: 9.4778e-06 eta: 14:25:25 time: 1.3215 data_time: 0.0388 memory: 52497 grad_norm: 31.5745 loss: 1.5023 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5023 2023/02/14 23:27:42 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 23:29:26 - mmengine - INFO - Epoch(train) [13][800/940] lr: 9.4636e-06 eta: 14:28:34 time: 1.2677 data_time: 0.0332 memory: 52497 grad_norm: 32.2040 loss: 1.6552 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6552 2023/02/14 23:32:02 - mmengine - INFO - Epoch(train) [13][900/940] lr: 9.4493e-06 eta: 14:27:43 time: 1.3738 data_time: 0.0353 memory: 52497 grad_norm: 34.0864 loss: 1.5606 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5606 2023/02/14 23:32:50 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 23:32:50 - mmengine - INFO - Epoch(train) [13][940/940] lr: 9.4435e-06 eta: 14:26:35 time: 1.1751 data_time: 0.0277 memory: 52497 grad_norm: 34.5304 loss: 1.5296 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5296 2023/02/14 23:33:11 - mmengine - INFO - Epoch(val) [13][100/310] eta: 0:00:44 time: 0.2036 data_time: 0.1226 memory: 2891 2023/02/14 23:33:31 - mmengine - INFO - Epoch(val) [13][200/310] eta: 0:00:22 time: 0.1756 data_time: 0.0940 memory: 2891 2023/02/14 23:33:53 - mmengine - INFO - Epoch(val) [13][300/310] eta: 0:00:02 time: 0.2036 data_time: 0.1238 memory: 2891 2023/02/14 23:33:56 - mmengine - INFO - Epoch(val) [13][310/310] acc/top1: 0.7836 acc/top5: 0.9435 acc/mean1: 0.7836 2023/02/14 23:33:56 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_12.pth is removed 2023/02/14 23:33:59 - mmengine - INFO - The best checkpoint with 0.7836 acc/top1 at 13 epoch is saved to best_acc/top1_epoch_13.pth. 2023/02/14 23:36:16 - mmengine - INFO - Epoch(train) [14][100/940] lr: 9.4289e-06 eta: 14:24:41 time: 1.3014 data_time: 0.0376 memory: 52497 grad_norm: 32.6306 loss: 1.5499 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5499 2023/02/14 23:38:25 - mmengine - INFO - Epoch(train) [14][200/940] lr: 9.4142e-06 eta: 14:22:21 time: 1.2976 data_time: 0.0305 memory: 52497 grad_norm: 31.8355 loss: 1.4529 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4529 2023/02/14 23:40:36 - mmengine - INFO - Epoch(train) [14][300/940] lr: 9.3993e-06 eta: 14:20:07 time: 1.2777 data_time: 0.0371 memory: 52497 grad_norm: 31.8493 loss: 1.5212 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5212 2023/02/14 23:42:49 - mmengine - INFO - Epoch(train) [14][400/940] lr: 9.3842e-06 eta: 14:17:59 time: 1.4903 data_time: 0.0306 memory: 52497 grad_norm: 33.0686 loss: 1.3897 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3897 2023/02/14 23:45:02 - mmengine - INFO - Epoch(train) [14][500/940] lr: 9.3689e-06 eta: 14:15:51 time: 1.3624 data_time: 0.0364 memory: 52497 grad_norm: 30.8891 loss: 1.6372 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6372 2023/02/14 23:47:12 - mmengine - INFO - Epoch(train) [14][600/940] lr: 9.3534e-06 eta: 14:13:34 time: 1.3467 data_time: 0.0388 memory: 52497 grad_norm: 32.2111 loss: 1.4966 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4966 2023/02/14 23:49:21 - mmengine - INFO - Epoch(train) [14][700/940] lr: 9.3378e-06 eta: 14:11:15 time: 1.2158 data_time: 0.0376 memory: 52497 grad_norm: 33.1840 loss: 1.6345 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6345 2023/02/14 23:51:13 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 23:51:40 - mmengine - INFO - Epoch(train) [14][800/940] lr: 9.3220e-06 eta: 14:09:24 time: 1.3630 data_time: 0.0296 memory: 52497 grad_norm: 31.2129 loss: 1.4270 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4270 2023/02/14 23:53:48 - mmengine - INFO - Epoch(train) [14][900/940] lr: 9.3061e-06 eta: 14:07:01 time: 1.2119 data_time: 0.0303 memory: 52497 grad_norm: 32.0744 loss: 1.5720 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5720 2023/02/14 23:54:35 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/14 23:54:35 - mmengine - INFO - Epoch(train) [14][940/940] lr: 9.2996e-06 eta: 14:05:53 time: 1.1042 data_time: 0.0222 memory: 52497 grad_norm: 32.8685 loss: 1.5210 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5210 2023/02/14 23:54:57 - mmengine - INFO - Epoch(val) [14][100/310] eta: 0:00:44 time: 0.2041 data_time: 0.1233 memory: 2891 2023/02/14 23:55:17 - mmengine - INFO - Epoch(val) [14][200/310] eta: 0:00:23 time: 0.1993 data_time: 0.1185 memory: 2891 2023/02/14 23:57:18 - mmengine - INFO - Epoch(val) [14][300/310] eta: 0:00:05 time: 0.1976 data_time: 0.1174 memory: 2891 2023/02/14 23:57:23 - mmengine - INFO - Epoch(val) [14][310/310] acc/top1: 0.7877 acc/top5: 0.9441 acc/mean1: 0.7876 2023/02/14 23:57:23 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_13.pth is removed 2023/02/14 23:57:25 - mmengine - INFO - The best checkpoint with 0.7877 acc/top1 at 14 epoch is saved to best_acc/top1_epoch_14.pth. 2023/02/14 23:59:44 - mmengine - INFO - Epoch(train) [15][100/940] lr: 9.2834e-06 eta: 14:04:03 time: 1.3322 data_time: 0.1441 memory: 52497 grad_norm: 31.2912 loss: 1.5502 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5502 2023/02/15 00:01:52 - mmengine - INFO - Epoch(train) [15][200/940] lr: 9.2671e-06 eta: 14:01:40 time: 1.2892 data_time: 0.0419 memory: 52497 grad_norm: 31.1671 loss: 1.5003 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5003 2023/02/15 00:04:00 - mmengine - INFO - Epoch(train) [15][300/940] lr: 9.2505e-06 eta: 13:59:20 time: 1.2169 data_time: 0.0891 memory: 52497 grad_norm: 31.4496 loss: 1.6568 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6568 2023/02/15 00:06:13 - mmengine - INFO - Epoch(train) [15][400/940] lr: 9.2338e-06 eta: 13:57:11 time: 1.2630 data_time: 0.0291 memory: 52497 grad_norm: 30.4300 loss: 1.3527 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3527 2023/02/15 00:08:23 - mmengine - INFO - Epoch(train) [15][500/940] lr: 9.2170e-06 eta: 13:54:55 time: 1.4448 data_time: 0.3236 memory: 52497 grad_norm: 30.9463 loss: 1.5344 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5344 2023/02/15 00:10:31 - mmengine - INFO - Epoch(train) [15][600/940] lr: 9.1999e-06 eta: 13:52:33 time: 1.2586 data_time: 0.0320 memory: 52497 grad_norm: 31.1180 loss: 1.5316 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5316 2023/02/15 00:12:40 - mmengine - INFO - Epoch(train) [15][700/940] lr: 9.1827e-06 eta: 13:50:13 time: 1.2581 data_time: 0.0324 memory: 52497 grad_norm: 32.1782 loss: 1.4405 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4405 2023/02/15 00:14:49 - mmengine - INFO - Epoch(train) [15][800/940] lr: 9.1653e-06 eta: 13:47:54 time: 1.2784 data_time: 0.0338 memory: 52497 grad_norm: 30.9279 loss: 1.5683 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5683 2023/02/15 00:15:42 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 00:16:59 - mmengine - INFO - Epoch(train) [15][900/940] lr: 9.1478e-06 eta: 13:45:37 time: 1.3358 data_time: 0.0352 memory: 52497 grad_norm: 30.6808 loss: 1.4357 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4357 2023/02/15 00:17:47 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 00:17:47 - mmengine - INFO - Epoch(train) [15][940/940] lr: 9.1408e-06 eta: 13:44:33 time: 1.0895 data_time: 0.0220 memory: 52497 grad_norm: 32.2188 loss: 1.4304 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4304 2023/02/15 00:17:47 - mmengine - INFO - Saving checkpoint at 15 epochs 2023/02/15 00:18:13 - mmengine - INFO - Epoch(val) [15][100/310] eta: 0:00:45 time: 0.2269 data_time: 0.1462 memory: 2891 2023/02/15 00:18:33 - mmengine - INFO - Epoch(val) [15][200/310] eta: 0:00:22 time: 0.1846 data_time: 0.1037 memory: 2891 2023/02/15 00:18:53 - mmengine - INFO - Epoch(val) [15][300/310] eta: 0:00:02 time: 0.1667 data_time: 0.0892 memory: 2891 2023/02/15 00:18:56 - mmengine - INFO - Epoch(val) [15][310/310] acc/top1: 0.7910 acc/top5: 0.9454 acc/mean1: 0.7909 2023/02/15 00:18:56 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_14.pth is removed 2023/02/15 00:18:58 - mmengine - INFO - The best checkpoint with 0.7910 acc/top1 at 15 epoch is saved to best_acc/top1_epoch_15.pth. 2023/02/15 00:21:17 - mmengine - INFO - Epoch(train) [16][100/940] lr: 9.1230e-06 eta: 13:42:41 time: 1.3691 data_time: 0.1784 memory: 52497 grad_norm: 31.0012 loss: 1.4767 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4767 2023/02/15 00:23:25 - mmengine - INFO - Epoch(train) [16][200/940] lr: 9.1051e-06 eta: 13:40:21 time: 1.2334 data_time: 0.0522 memory: 52497 grad_norm: 30.4190 loss: 1.4006 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.4006 2023/02/15 00:25:46 - mmengine - INFO - Epoch(train) [16][300/940] lr: 9.0870e-06 eta: 13:38:34 time: 1.3811 data_time: 0.0390 memory: 52497 grad_norm: 31.1122 loss: 1.4141 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4141 2023/02/15 00:27:55 - mmengine - INFO - Epoch(train) [16][400/940] lr: 9.0687e-06 eta: 13:36:15 time: 1.1762 data_time: 0.0287 memory: 52497 grad_norm: 30.7298 loss: 1.3575 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.3575 2023/02/15 00:30:08 - mmengine - INFO - Epoch(train) [16][500/940] lr: 9.0503e-06 eta: 13:34:06 time: 1.2650 data_time: 0.0362 memory: 52497 grad_norm: 30.9290 loss: 1.3758 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3758 2023/02/15 00:32:17 - mmengine - INFO - Epoch(train) [16][600/940] lr: 9.0318e-06 eta: 13:31:47 time: 1.3008 data_time: 0.0350 memory: 52497 grad_norm: 31.4060 loss: 1.4558 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4558 2023/02/15 00:34:25 - mmengine - INFO - Epoch(train) [16][700/940] lr: 9.0131e-06 eta: 13:29:26 time: 1.2641 data_time: 0.0317 memory: 52497 grad_norm: 31.8713 loss: 1.3625 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3625 2023/02/15 00:36:33 - mmengine - INFO - Epoch(train) [16][800/940] lr: 8.9942e-06 eta: 13:27:05 time: 1.2320 data_time: 0.0325 memory: 52497 grad_norm: 30.6625 loss: 1.3332 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3332 2023/02/15 00:38:42 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 00:38:42 - mmengine - INFO - Epoch(train) [16][900/940] lr: 8.9752e-06 eta: 13:24:50 time: 1.3426 data_time: 0.0323 memory: 52497 grad_norm: 31.7746 loss: 1.4462 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4462 2023/02/15 00:39:30 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 00:39:30 - mmengine - INFO - Epoch(train) [16][940/940] lr: 8.9675e-06 eta: 13:23:45 time: 1.0957 data_time: 0.0306 memory: 52497 grad_norm: 32.9725 loss: 1.4082 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.4082 2023/02/15 00:39:52 - mmengine - INFO - Epoch(val) [16][100/310] eta: 0:00:45 time: 0.2190 data_time: 0.1378 memory: 2891 2023/02/15 00:40:12 - mmengine - INFO - Epoch(val) [16][200/310] eta: 0:00:22 time: 0.1847 data_time: 0.1043 memory: 2891 2023/02/15 00:40:32 - mmengine - INFO - Epoch(val) [16][300/310] eta: 0:00:02 time: 0.2085 data_time: 0.1281 memory: 2891 2023/02/15 00:40:38 - mmengine - INFO - Epoch(val) [16][310/310] acc/top1: 0.7962 acc/top5: 0.9481 acc/mean1: 0.7961 2023/02/15 00:40:38 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_15.pth is removed 2023/02/15 00:40:40 - mmengine - INFO - The best checkpoint with 0.7962 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2023/02/15 00:42:58 - mmengine - INFO - Epoch(train) [17][100/940] lr: 8.9483e-06 eta: 13:21:48 time: 1.3270 data_time: 0.1666 memory: 52497 grad_norm: 30.4992 loss: 1.4837 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4837 2023/02/15 00:45:08 - mmengine - INFO - Epoch(train) [17][200/940] lr: 8.9288e-06 eta: 13:19:34 time: 1.3172 data_time: 0.1922 memory: 52497 grad_norm: 29.9205 loss: 1.5060 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5060 2023/02/15 00:47:22 - mmengine - INFO - Epoch(train) [17][300/940] lr: 8.9093e-06 eta: 13:17:27 time: 1.3241 data_time: 0.1428 memory: 52497 grad_norm: 30.5640 loss: 1.3844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3844 2023/02/15 00:49:31 - mmengine - INFO - Epoch(train) [17][400/940] lr: 8.8896e-06 eta: 13:15:11 time: 1.2469 data_time: 0.0284 memory: 52497 grad_norm: 30.6305 loss: 1.4520 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4520 2023/02/15 00:51:41 - mmengine - INFO - Epoch(train) [17][500/940] lr: 8.8697e-06 eta: 13:12:54 time: 1.2678 data_time: 0.1436 memory: 52497 grad_norm: 30.8463 loss: 1.2750 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2750 2023/02/15 00:53:58 - mmengine - INFO - Epoch(train) [17][600/940] lr: 8.8497e-06 eta: 13:10:57 time: 1.2408 data_time: 0.1317 memory: 52497 grad_norm: 30.5410 loss: 1.2792 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2792 2023/02/15 00:56:07 - mmengine - INFO - Epoch(train) [17][700/940] lr: 8.8296e-06 eta: 13:08:37 time: 1.3129 data_time: 0.0557 memory: 52497 grad_norm: 30.1282 loss: 1.3850 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3850 2023/02/15 00:58:14 - mmengine - INFO - Epoch(train) [17][800/940] lr: 8.8092e-06 eta: 13:06:16 time: 1.2518 data_time: 0.0310 memory: 52497 grad_norm: 29.8673 loss: 1.4977 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4977 2023/02/15 01:00:25 - mmengine - INFO - Epoch(train) [17][900/940] lr: 8.7888e-06 eta: 13:04:04 time: 1.2441 data_time: 0.0424 memory: 52497 grad_norm: 31.0433 loss: 1.3947 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3947 2023/02/15 01:01:14 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 01:01:14 - mmengine - INFO - Epoch(train) [17][940/940] lr: 8.7806e-06 eta: 13:03:02 time: 1.1734 data_time: 0.0216 memory: 52497 grad_norm: 33.3334 loss: 1.3215 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3215 2023/02/15 01:01:35 - mmengine - INFO - Epoch(val) [17][100/310] eta: 0:00:44 time: 0.2080 data_time: 0.1267 memory: 2891 2023/02/15 01:01:55 - mmengine - INFO - Epoch(val) [17][200/310] eta: 0:00:22 time: 0.1943 data_time: 0.1134 memory: 2891 2023/02/15 01:02:16 - mmengine - INFO - Epoch(val) [17][300/310] eta: 0:00:02 time: 0.2008 data_time: 0.1204 memory: 2891 2023/02/15 01:02:21 - mmengine - INFO - Epoch(val) [17][310/310] acc/top1: 0.7960 acc/top5: 0.9477 acc/mean1: 0.7959 2023/02/15 01:02:58 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 01:04:52 - mmengine - INFO - Epoch(train) [18][100/940] lr: 8.7599e-06 eta: 13:01:33 time: 1.2648 data_time: 0.1517 memory: 52497 grad_norm: 30.0820 loss: 1.4712 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4712 2023/02/15 01:07:01 - mmengine - INFO - Epoch(train) [18][200/940] lr: 8.7391e-06 eta: 12:59:17 time: 1.2055 data_time: 0.0332 memory: 52497 grad_norm: 30.6409 loss: 1.2303 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2303 2023/02/15 01:09:21 - mmengine - INFO - Epoch(train) [18][300/940] lr: 8.7181e-06 eta: 12:57:22 time: 1.3427 data_time: 0.0367 memory: 52497 grad_norm: 31.0997 loss: 1.3795 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3795 2023/02/15 01:11:28 - mmengine - INFO - Epoch(train) [18][400/940] lr: 8.6970e-06 eta: 12:55:00 time: 1.2906 data_time: 0.0340 memory: 52497 grad_norm: 30.9707 loss: 1.4413 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4413 2023/02/15 01:13:40 - mmengine - INFO - Epoch(train) [18][500/940] lr: 8.6758e-06 eta: 12:52:51 time: 1.2987 data_time: 0.0335 memory: 52497 grad_norm: 31.7976 loss: 1.3086 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3086 2023/02/15 01:15:51 - mmengine - INFO - Epoch(train) [18][600/940] lr: 8.6544e-06 eta: 12:50:36 time: 1.3428 data_time: 0.0323 memory: 52497 grad_norm: 30.9881 loss: 1.3681 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3681 2023/02/15 01:17:59 - mmengine - INFO - Epoch(train) [18][700/940] lr: 8.6329e-06 eta: 12:48:17 time: 1.2521 data_time: 0.0363 memory: 52497 grad_norm: 30.6509 loss: 1.4603 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4603 2023/02/15 01:20:13 - mmengine - INFO - Epoch(train) [18][800/940] lr: 8.6112e-06 eta: 12:46:10 time: 1.4444 data_time: 0.0322 memory: 52497 grad_norm: 30.1551 loss: 1.3658 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3658 2023/02/15 01:22:21 - mmengine - INFO - Epoch(train) [18][900/940] lr: 8.5894e-06 eta: 12:43:51 time: 1.2510 data_time: 0.0358 memory: 52497 grad_norm: 30.7292 loss: 1.3558 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3558 2023/02/15 01:23:09 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 01:23:09 - mmengine - INFO - Epoch(train) [18][940/940] lr: 8.5807e-06 eta: 12:42:50 time: 1.1263 data_time: 0.0225 memory: 52497 grad_norm: 31.8290 loss: 1.3619 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3619 2023/02/15 01:23:09 - mmengine - INFO - Saving checkpoint at 18 epochs 2023/02/15 01:23:35 - mmengine - INFO - Epoch(val) [18][100/310] eta: 0:00:44 time: 0.1963 data_time: 0.1157 memory: 2891 2023/02/15 01:23:56 - mmengine - INFO - Epoch(val) [18][200/310] eta: 0:00:22 time: 0.1940 data_time: 0.1137 memory: 2891 2023/02/15 01:24:16 - mmengine - INFO - Epoch(val) [18][300/310] eta: 0:00:02 time: 0.1654 data_time: 0.0877 memory: 2891 2023/02/15 01:24:18 - mmengine - INFO - Epoch(val) [18][310/310] acc/top1: 0.8013 acc/top5: 0.9488 acc/mean1: 0.8012 2023/02/15 01:24:18 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_16.pth is removed 2023/02/15 01:24:21 - mmengine - INFO - The best checkpoint with 0.8013 acc/top1 at 18 epoch is saved to best_acc/top1_epoch_18.pth. 2023/02/15 01:26:11 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 01:26:38 - mmengine - INFO - Epoch(train) [19][100/940] lr: 8.5587e-06 eta: 12:40:50 time: 1.3306 data_time: 0.0886 memory: 52497 grad_norm: 30.9397 loss: 1.4001 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4001 2023/02/15 01:28:47 - mmengine - INFO - Epoch(train) [19][200/940] lr: 8.5366e-06 eta: 12:38:34 time: 1.2705 data_time: 0.0343 memory: 52497 grad_norm: 30.3231 loss: 1.3374 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.3374 2023/02/15 01:30:57 - mmengine - INFO - Epoch(train) [19][300/940] lr: 8.5143e-06 eta: 12:36:19 time: 1.3075 data_time: 0.0370 memory: 52497 grad_norm: 31.6305 loss: 1.2002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2002 2023/02/15 01:33:05 - mmengine - INFO - Epoch(train) [19][400/940] lr: 8.4919e-06 eta: 12:34:00 time: 1.1966 data_time: 0.0330 memory: 52497 grad_norm: 29.8820 loss: 1.3982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3982 2023/02/15 01:35:16 - mmengine - INFO - Epoch(train) [19][500/940] lr: 8.4694e-06 eta: 12:31:46 time: 1.3675 data_time: 0.0348 memory: 52497 grad_norm: 31.3462 loss: 1.3837 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3837 2023/02/15 01:37:23 - mmengine - INFO - Epoch(train) [19][600/940] lr: 8.4467e-06 eta: 12:29:27 time: 1.2855 data_time: 0.1407 memory: 52497 grad_norm: 30.8830 loss: 1.2657 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2657 2023/02/15 01:39:32 - mmengine - INFO - Epoch(train) [19][700/940] lr: 8.4239e-06 eta: 12:27:09 time: 1.3143 data_time: 0.1782 memory: 52497 grad_norm: 30.0397 loss: 1.3442 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3442 2023/02/15 01:41:40 - mmengine - INFO - Epoch(train) [19][800/940] lr: 8.4010e-06 eta: 12:24:51 time: 1.2293 data_time: 0.0955 memory: 52497 grad_norm: 28.8822 loss: 1.4296 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4296 2023/02/15 01:43:49 - mmengine - INFO - Epoch(train) [19][900/940] lr: 8.3779e-06 eta: 12:22:35 time: 1.3265 data_time: 0.1567 memory: 52497 grad_norm: 29.6839 loss: 1.4317 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4317 2023/02/15 01:44:37 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 01:44:37 - mmengine - INFO - Epoch(train) [19][940/940] lr: 8.3686e-06 eta: 12:21:33 time: 1.1507 data_time: 0.0948 memory: 52497 grad_norm: 32.4372 loss: 1.4126 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4126 2023/02/15 01:44:58 - mmengine - INFO - Epoch(val) [19][100/310] eta: 0:00:44 time: 0.1989 data_time: 0.1180 memory: 2891 2023/02/15 01:45:18 - mmengine - INFO - Epoch(val) [19][200/310] eta: 0:00:22 time: 0.1906 data_time: 0.1096 memory: 2891 2023/02/15 01:45:39 - mmengine - INFO - Epoch(val) [19][300/310] eta: 0:00:02 time: 0.2092 data_time: 0.1288 memory: 2891 2023/02/15 01:45:44 - mmengine - INFO - Epoch(val) [19][310/310] acc/top1: 0.8016 acc/top5: 0.9492 acc/mean1: 0.8016 2023/02/15 01:45:44 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_18.pth is removed 2023/02/15 01:45:46 - mmengine - INFO - The best checkpoint with 0.8016 acc/top1 at 19 epoch is saved to best_acc/top1_epoch_19.pth. 2023/02/15 01:48:04 - mmengine - INFO - Epoch(train) [20][100/940] lr: 8.3454e-06 eta: 12:19:34 time: 1.2923 data_time: 0.0662 memory: 52497 grad_norm: 29.7474 loss: 1.3491 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3491 2023/02/15 01:48:57 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 01:50:15 - mmengine - INFO - Epoch(train) [20][200/940] lr: 8.3220e-06 eta: 12:17:21 time: 1.2727 data_time: 0.0314 memory: 52497 grad_norm: 30.1217 loss: 1.2744 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2744 2023/02/15 01:52:23 - mmengine - INFO - Epoch(train) [20][300/940] lr: 8.2985e-06 eta: 12:15:04 time: 1.3525 data_time: 0.2186 memory: 52497 grad_norm: 30.6099 loss: 1.2610 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2610 2023/02/15 01:54:32 - mmengine - INFO - Epoch(train) [20][400/940] lr: 8.2749e-06 eta: 12:12:48 time: 1.3058 data_time: 0.1906 memory: 52497 grad_norm: 30.5225 loss: 1.3497 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3497 2023/02/15 01:56:39 - mmengine - INFO - Epoch(train) [20][500/940] lr: 8.2512e-06 eta: 12:10:27 time: 1.2580 data_time: 0.1408 memory: 52497 grad_norm: 30.0226 loss: 1.3056 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3056 2023/02/15 01:58:56 - mmengine - INFO - Epoch(train) [20][600/940] lr: 8.2273e-06 eta: 12:08:27 time: 1.3108 data_time: 0.2051 memory: 52497 grad_norm: 30.2492 loss: 1.2593 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2593 2023/02/15 02:01:05 - mmengine - INFO - Epoch(train) [20][700/940] lr: 8.2033e-06 eta: 12:06:11 time: 1.4074 data_time: 0.2984 memory: 52497 grad_norm: 30.1763 loss: 1.3467 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3467 2023/02/15 02:03:13 - mmengine - INFO - Epoch(train) [20][800/940] lr: 8.1792e-06 eta: 12:03:52 time: 1.2356 data_time: 0.1329 memory: 52497 grad_norm: 30.3899 loss: 1.2395 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2395 2023/02/15 02:05:21 - mmengine - INFO - Epoch(train) [20][900/940] lr: 8.1550e-06 eta: 12:01:35 time: 1.3192 data_time: 0.2093 memory: 52497 grad_norm: 30.3350 loss: 1.3133 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3133 2023/02/15 02:06:08 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 02:06:08 - mmengine - INFO - Epoch(train) [20][940/940] lr: 8.1453e-06 eta: 12:00:34 time: 1.1361 data_time: 0.0815 memory: 52497 grad_norm: 31.0920 loss: 1.3505 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3505 2023/02/15 02:06:29 - mmengine - INFO - Epoch(val) [20][100/310] eta: 0:00:44 time: 0.2016 data_time: 0.1205 memory: 2891 2023/02/15 02:06:50 - mmengine - INFO - Epoch(val) [20][200/310] eta: 0:00:22 time: 0.1853 data_time: 0.1048 memory: 2891 2023/02/15 02:07:10 - mmengine - INFO - Epoch(val) [20][300/310] eta: 0:00:02 time: 0.2066 data_time: 0.1265 memory: 2891 2023/02/15 02:07:15 - mmengine - INFO - Epoch(val) [20][310/310] acc/top1: 0.8029 acc/top5: 0.9501 acc/mean1: 0.8029 2023/02/15 02:07:15 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_19.pth is removed 2023/02/15 02:07:17 - mmengine - INFO - The best checkpoint with 0.8029 acc/top1 at 20 epoch is saved to best_acc/top1_epoch_20.pth. 2023/02/15 02:09:35 - mmengine - INFO - Epoch(train) [21][100/940] lr: 8.1209e-06 eta: 11:58:33 time: 1.3680 data_time: 0.0389 memory: 52497 grad_norm: 30.4934 loss: 1.2765 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2765 2023/02/15 02:11:43 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 02:11:43 - mmengine - INFO - Epoch(train) [21][200/940] lr: 8.0964e-06 eta: 11:56:16 time: 1.1987 data_time: 0.0277 memory: 52497 grad_norm: 30.1679 loss: 1.2975 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2975 2023/02/15 02:13:51 - mmengine - INFO - Epoch(train) [21][300/940] lr: 8.0718e-06 eta: 11:53:58 time: 1.2991 data_time: 0.0339 memory: 52497 grad_norm: 30.6180 loss: 1.3785 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3785 2023/02/15 02:16:02 - mmengine - INFO - Epoch(train) [21][400/940] lr: 8.0470e-06 eta: 11:51:47 time: 1.3020 data_time: 0.0355 memory: 52497 grad_norm: 30.8175 loss: 1.2029 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2029 2023/02/15 02:18:12 - mmengine - INFO - Epoch(train) [21][500/940] lr: 8.0222e-06 eta: 11:49:32 time: 1.3730 data_time: 0.0286 memory: 52497 grad_norm: 29.8588 loss: 1.2649 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2649 2023/02/15 02:20:21 - mmengine - INFO - Epoch(train) [21][600/940] lr: 7.9972e-06 eta: 11:47:17 time: 1.2959 data_time: 0.0369 memory: 52497 grad_norm: 30.1214 loss: 1.3527 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3527 2023/02/15 02:22:31 - mmengine - INFO - Epoch(train) [21][700/940] lr: 7.9721e-06 eta: 11:45:03 time: 1.3511 data_time: 0.0307 memory: 52497 grad_norm: 29.7721 loss: 1.2534 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2534 2023/02/15 02:24:39 - mmengine - INFO - Epoch(train) [21][800/940] lr: 7.9469e-06 eta: 11:42:47 time: 1.2904 data_time: 0.0314 memory: 52497 grad_norm: 29.4788 loss: 1.1981 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1981 2023/02/15 02:26:48 - mmengine - INFO - Epoch(train) [21][900/940] lr: 7.9216e-06 eta: 11:40:31 time: 1.3283 data_time: 0.0371 memory: 52497 grad_norm: 29.6486 loss: 1.3299 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3299 2023/02/15 02:27:36 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 02:27:36 - mmengine - INFO - Epoch(train) [21][940/940] lr: 7.9115e-06 eta: 11:39:31 time: 1.1379 data_time: 0.0231 memory: 52497 grad_norm: 31.3078 loss: 1.4274 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.4274 2023/02/15 02:27:36 - mmengine - INFO - Saving checkpoint at 21 epochs 2023/02/15 02:28:02 - mmengine - INFO - Epoch(val) [21][100/310] eta: 0:00:44 time: 0.1893 data_time: 0.1084 memory: 2891 2023/02/15 02:28:22 - mmengine - INFO - Epoch(val) [21][200/310] eta: 0:00:22 time: 0.1967 data_time: 0.1158 memory: 2891 2023/02/15 02:28:42 - mmengine - INFO - Epoch(val) [21][300/310] eta: 0:00:02 time: 0.1668 data_time: 0.0890 memory: 2891 2023/02/15 02:28:46 - mmengine - INFO - Epoch(val) [21][310/310] acc/top1: 0.8027 acc/top5: 0.9502 acc/mean1: 0.8027 2023/02/15 02:31:05 - mmengine - INFO - Epoch(train) [22][100/940] lr: 7.8860e-06 eta: 11:37:33 time: 1.3147 data_time: 0.0395 memory: 52497 grad_norm: 29.1731 loss: 1.2276 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2276 2023/02/15 02:33:14 - mmengine - INFO - Epoch(train) [22][200/940] lr: 7.8605e-06 eta: 11:35:17 time: 1.2087 data_time: 0.0301 memory: 52497 grad_norm: 30.1985 loss: 1.2965 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2965 2023/02/15 02:34:32 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 02:35:31 - mmengine - INFO - Epoch(train) [22][300/940] lr: 7.8348e-06 eta: 11:33:14 time: 1.5521 data_time: 0.1965 memory: 52497 grad_norm: 29.3224 loss: 1.2072 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2072 2023/02/15 02:37:38 - mmengine - INFO - Epoch(train) [22][400/940] lr: 7.8090e-06 eta: 11:30:57 time: 1.2924 data_time: 0.1771 memory: 52497 grad_norm: 29.7221 loss: 1.2227 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2227 2023/02/15 02:39:45 - mmengine - INFO - Epoch(train) [22][500/940] lr: 7.7832e-06 eta: 11:28:38 time: 1.2515 data_time: 0.0745 memory: 52497 grad_norm: 29.5190 loss: 1.2075 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2075 2023/02/15 02:43:30 - mmengine - INFO - Epoch(train) [22][600/940] lr: 7.7572e-06 eta: 11:28:52 time: 1.3054 data_time: 0.1192 memory: 52497 grad_norm: 30.2961 loss: 1.2143 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.2143 2023/02/15 02:45:42 - mmengine - INFO - Epoch(train) [22][700/940] lr: 7.7311e-06 eta: 11:26:39 time: 1.2363 data_time: 0.0330 memory: 52497 grad_norm: 30.0484 loss: 1.3589 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.3589 2023/02/15 02:47:48 - mmengine - INFO - Epoch(train) [22][800/940] lr: 7.7050e-06 eta: 11:24:19 time: 1.2749 data_time: 0.1475 memory: 52497 grad_norm: 29.0109 loss: 1.2722 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2722 2023/02/15 02:49:58 - mmengine - INFO - Epoch(train) [22][900/940] lr: 7.6787e-06 eta: 11:22:04 time: 1.2978 data_time: 0.1563 memory: 52497 grad_norm: 30.2177 loss: 1.2100 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2100 2023/02/15 02:50:46 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 02:50:46 - mmengine - INFO - Epoch(train) [22][940/940] lr: 7.6682e-06 eta: 11:21:05 time: 1.0997 data_time: 0.0449 memory: 52497 grad_norm: 32.6251 loss: 1.2557 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2557 2023/02/15 02:51:07 - mmengine - INFO - Epoch(val) [22][100/310] eta: 0:00:44 time: 0.2191 data_time: 0.1381 memory: 2891 2023/02/15 02:51:27 - mmengine - INFO - Epoch(val) [22][200/310] eta: 0:00:22 time: 0.1760 data_time: 0.0953 memory: 2891 2023/02/15 02:51:48 - mmengine - INFO - Epoch(val) [22][300/310] eta: 0:00:02 time: 0.2067 data_time: 0.1212 memory: 2891 2023/02/15 02:51:52 - mmengine - INFO - Epoch(val) [22][310/310] acc/top1: 0.8083 acc/top5: 0.9527 acc/mean1: 0.8083 2023/02/15 02:51:52 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_20.pth is removed 2023/02/15 02:51:55 - mmengine - INFO - The best checkpoint with 0.8083 acc/top1 at 22 epoch is saved to best_acc/top1_epoch_22.pth. 2023/02/15 02:54:13 - mmengine - INFO - Epoch(train) [23][100/940] lr: 7.6417e-06 eta: 11:19:02 time: 1.3128 data_time: 0.0613 memory: 52497 grad_norm: 30.0655 loss: 1.2202 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2202 2023/02/15 02:56:21 - mmengine - INFO - Epoch(train) [23][200/940] lr: 7.6152e-06 eta: 11:16:46 time: 1.3172 data_time: 0.1668 memory: 52497 grad_norm: 28.8730 loss: 1.2763 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2763 2023/02/15 02:58:31 - mmengine - INFO - Epoch(train) [23][300/940] lr: 7.5887e-06 eta: 11:14:31 time: 1.3297 data_time: 0.1976 memory: 52497 grad_norm: 28.6906 loss: 1.3164 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3164 2023/02/15 02:58:57 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 03:02:19 - mmengine - INFO - Epoch(train) [23][400/940] lr: 7.5620e-06 eta: 11:14:39 time: 1.2614 data_time: 0.1453 memory: 52497 grad_norm: 29.5922 loss: 1.3221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3221 2023/02/15 03:04:28 - mmengine - INFO - Epoch(train) [23][500/940] lr: 7.5352e-06 eta: 11:12:22 time: 1.2923 data_time: 0.1314 memory: 52497 grad_norm: 28.7050 loss: 1.2231 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2231 2023/02/15 03:06:37 - mmengine - INFO - Epoch(train) [23][600/940] lr: 7.5083e-06 eta: 11:10:06 time: 1.2833 data_time: 0.0929 memory: 52497 grad_norm: 30.2572 loss: 1.2079 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2079 2023/02/15 03:08:45 - mmengine - INFO - Epoch(train) [23][700/940] lr: 7.4813e-06 eta: 11:07:47 time: 1.1941 data_time: 0.0409 memory: 52497 grad_norm: 29.3095 loss: 1.1726 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1726 2023/02/15 03:10:55 - mmengine - INFO - Epoch(train) [23][800/940] lr: 7.4543e-06 eta: 11:05:32 time: 1.3221 data_time: 0.0344 memory: 52497 grad_norm: 29.6861 loss: 1.4171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4171 2023/02/15 03:13:06 - mmengine - INFO - Epoch(train) [23][900/940] lr: 7.4272e-06 eta: 11:03:19 time: 1.3010 data_time: 0.0332 memory: 52497 grad_norm: 30.8359 loss: 1.2814 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2814 2023/02/15 03:13:54 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 03:13:54 - mmengine - INFO - Epoch(train) [23][940/940] lr: 7.4163e-06 eta: 11:02:19 time: 1.1223 data_time: 0.0241 memory: 52497 grad_norm: 31.7728 loss: 1.1942 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1942 2023/02/15 03:14:15 - mmengine - INFO - Epoch(val) [23][100/310] eta: 0:00:44 time: 0.2028 data_time: 0.1225 memory: 2891 2023/02/15 03:14:35 - mmengine - INFO - Epoch(val) [23][200/310] eta: 0:00:22 time: 0.1813 data_time: 0.1010 memory: 2891 2023/02/15 03:14:57 - mmengine - INFO - Epoch(val) [23][300/310] eta: 0:00:02 time: 0.2011 data_time: 0.1193 memory: 2891 2023/02/15 03:15:01 - mmengine - INFO - Epoch(val) [23][310/310] acc/top1: 0.8102 acc/top5: 0.9523 acc/mean1: 0.8101 2023/02/15 03:15:01 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_22.pth is removed 2023/02/15 03:15:03 - mmengine - INFO - The best checkpoint with 0.8102 acc/top1 at 23 epoch is saved to best_acc/top1_epoch_23.pth. 2023/02/15 03:17:19 - mmengine - INFO - Epoch(train) [24][100/940] lr: 7.3890e-06 eta: 11:00:12 time: 1.2956 data_time: 0.1988 memory: 52497 grad_norm: 29.1269 loss: 1.3097 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3097 2023/02/15 03:19:29 - mmengine - INFO - Epoch(train) [24][200/940] lr: 7.3617e-06 eta: 10:57:57 time: 1.2270 data_time: 0.0310 memory: 52497 grad_norm: 29.1197 loss: 1.2235 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2235 2023/02/15 03:21:37 - mmengine - INFO - Epoch(train) [24][300/940] lr: 7.3343e-06 eta: 10:55:39 time: 1.2837 data_time: 0.0681 memory: 52497 grad_norm: 29.2169 loss: 1.2485 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2485 2023/02/15 03:23:21 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 03:23:48 - mmengine - INFO - Epoch(train) [24][400/940] lr: 7.3067e-06 eta: 10:53:25 time: 1.3376 data_time: 0.0382 memory: 52497 grad_norm: 30.1778 loss: 1.4306 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.4306 2023/02/15 03:25:54 - mmengine - INFO - Epoch(train) [24][500/940] lr: 7.2792e-06 eta: 10:51:06 time: 1.2976 data_time: 0.0330 memory: 52497 grad_norm: 28.7536 loss: 1.1913 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1913 2023/02/15 03:28:05 - mmengine - INFO - Epoch(train) [24][600/940] lr: 7.2515e-06 eta: 10:48:51 time: 1.2248 data_time: 0.0303 memory: 52497 grad_norm: 27.7597 loss: 1.3354 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3354 2023/02/15 03:30:20 - mmengine - INFO - Epoch(train) [24][700/940] lr: 7.2237e-06 eta: 10:46:43 time: 1.3611 data_time: 0.0368 memory: 52497 grad_norm: 29.7485 loss: 1.2611 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2611 2023/02/15 03:32:27 - mmengine - INFO - Epoch(train) [24][800/940] lr: 7.1959e-06 eta: 10:44:25 time: 1.2097 data_time: 0.0321 memory: 52497 grad_norm: 31.2618 loss: 1.1172 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1172 2023/02/15 03:34:37 - mmengine - INFO - Epoch(train) [24][900/940] lr: 7.1680e-06 eta: 10:42:09 time: 1.2853 data_time: 0.0347 memory: 52497 grad_norm: 29.4823 loss: 1.2795 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2795 2023/02/15 03:35:26 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 03:35:26 - mmengine - INFO - Epoch(train) [24][940/940] lr: 7.1568e-06 eta: 10:41:12 time: 1.2259 data_time: 0.0184 memory: 52497 grad_norm: 31.8512 loss: 1.2670 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2670 2023/02/15 03:35:26 - mmengine - INFO - Saving checkpoint at 24 epochs 2023/02/15 03:35:52 - mmengine - INFO - Epoch(val) [24][100/310] eta: 0:00:44 time: 0.2087 data_time: 0.1280 memory: 2891 2023/02/15 03:36:12 - mmengine - INFO - Epoch(val) [24][200/310] eta: 0:00:22 time: 0.1823 data_time: 0.1012 memory: 2891 2023/02/15 03:36:32 - mmengine - INFO - Epoch(val) [24][300/310] eta: 0:00:02 time: 0.1664 data_time: 0.0887 memory: 2891 2023/02/15 03:36:35 - mmengine - INFO - Epoch(val) [24][310/310] acc/top1: 0.8118 acc/top5: 0.9529 acc/mean1: 0.8118 2023/02/15 03:36:35 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_23.pth is removed 2023/02/15 03:36:37 - mmengine - INFO - The best checkpoint with 0.8118 acc/top1 at 24 epoch is saved to best_acc/top1_epoch_24.pth. 2023/02/15 03:38:54 - mmengine - INFO - Epoch(train) [25][100/940] lr: 7.1288e-06 eta: 10:39:07 time: 1.3114 data_time: 0.1996 memory: 52497 grad_norm: 28.4386 loss: 1.1654 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1654 2023/02/15 03:41:04 - mmengine - INFO - Epoch(train) [25][200/940] lr: 7.1008e-06 eta: 10:36:52 time: 1.3222 data_time: 0.2222 memory: 52497 grad_norm: 29.2791 loss: 1.1875 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1875 2023/02/15 03:43:13 - mmengine - INFO - Epoch(train) [25][300/940] lr: 7.0726e-06 eta: 10:34:37 time: 1.3092 data_time: 0.1947 memory: 52497 grad_norm: 30.1543 loss: 1.2803 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2803 2023/02/15 03:45:22 - mmengine - INFO - Epoch(train) [25][400/940] lr: 7.0444e-06 eta: 10:32:21 time: 1.2461 data_time: 0.1370 memory: 52497 grad_norm: 29.4740 loss: 1.2192 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2192 2023/02/15 03:46:15 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 03:47:33 - mmengine - INFO - Epoch(train) [25][500/940] lr: 7.0161e-06 eta: 10:30:08 time: 1.3600 data_time: 0.2611 memory: 52497 grad_norm: 29.4745 loss: 1.2372 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2372 2023/02/15 03:49:41 - mmengine - INFO - Epoch(train) [25][600/940] lr: 6.9878e-06 eta: 10:27:50 time: 1.2509 data_time: 0.1355 memory: 52497 grad_norm: 29.1810 loss: 1.2233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2233 2023/02/15 03:51:59 - mmengine - INFO - Epoch(train) [25][700/940] lr: 6.9593e-06 eta: 10:25:45 time: 1.3594 data_time: 0.2553 memory: 52497 grad_norm: 29.2486 loss: 1.2892 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2892 2023/02/15 03:54:09 - mmengine - INFO - Epoch(train) [25][800/940] lr: 6.9308e-06 eta: 10:23:31 time: 1.2552 data_time: 0.1480 memory: 52497 grad_norm: 32.3330 loss: 1.3251 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3251 2023/02/15 03:56:17 - mmengine - INFO - Epoch(train) [25][900/940] lr: 6.9023e-06 eta: 10:21:15 time: 1.3302 data_time: 0.1530 memory: 52497 grad_norm: 29.2808 loss: 1.2286 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2286 2023/02/15 03:57:07 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 03:57:07 - mmengine - INFO - Epoch(train) [25][940/940] lr: 6.8909e-06 eta: 10:20:18 time: 1.1298 data_time: 0.0662 memory: 52497 grad_norm: 30.1811 loss: 1.2028 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2028 2023/02/15 03:57:28 - mmengine - INFO - Epoch(val) [25][100/310] eta: 0:00:44 time: 0.2144 data_time: 0.1338 memory: 2891 2023/02/15 03:57:48 - mmengine - INFO - Epoch(val) [25][200/310] eta: 0:00:22 time: 0.1801 data_time: 0.0998 memory: 2891 2023/02/15 03:58:09 - mmengine - INFO - Epoch(val) [25][300/310] eta: 0:00:02 time: 0.2008 data_time: 0.1209 memory: 2891 2023/02/15 03:58:14 - mmengine - INFO - Epoch(val) [25][310/310] acc/top1: 0.8144 acc/top5: 0.9530 acc/mean1: 0.8143 2023/02/15 03:58:14 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_24.pth is removed 2023/02/15 03:58:16 - mmengine - INFO - The best checkpoint with 0.8144 acc/top1 at 25 epoch is saved to best_acc/top1_epoch_25.pth. 2023/02/15 04:00:41 - mmengine - INFO - Epoch(train) [26][100/940] lr: 6.8622e-06 eta: 10:18:22 time: 1.3078 data_time: 0.1285 memory: 52497 grad_norm: 29.1296 loss: 1.3286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3286 2023/02/15 04:02:47 - mmengine - INFO - Epoch(train) [26][200/940] lr: 6.8335e-06 eta: 10:16:02 time: 1.2478 data_time: 0.1281 memory: 52497 grad_norm: 29.9257 loss: 1.2193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2193 2023/02/15 04:04:58 - mmengine - INFO - Epoch(train) [26][300/940] lr: 6.8048e-06 eta: 10:13:49 time: 1.2320 data_time: 0.0734 memory: 52497 grad_norm: 28.7764 loss: 1.1032 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1032 2023/02/15 04:07:08 - mmengine - INFO - Epoch(train) [26][400/940] lr: 6.7760e-06 eta: 10:11:35 time: 1.3484 data_time: 0.0344 memory: 52497 grad_norm: 30.4013 loss: 1.1990 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1990 2023/02/15 04:09:16 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 04:09:16 - mmengine - INFO - Epoch(train) [26][500/940] lr: 6.7471e-06 eta: 10:09:18 time: 1.3460 data_time: 0.0350 memory: 52497 grad_norm: 28.6465 loss: 1.2506 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2506 2023/02/15 04:11:24 - mmengine - INFO - Epoch(train) [26][600/940] lr: 6.7182e-06 eta: 10:07:01 time: 1.3091 data_time: 0.0404 memory: 52497 grad_norm: 30.8631 loss: 1.2210 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2210 2023/02/15 04:13:34 - mmengine - INFO - Epoch(train) [26][700/940] lr: 6.6892e-06 eta: 10:04:48 time: 1.3428 data_time: 0.0308 memory: 52497 grad_norm: 30.2460 loss: 1.1788 top1_acc: 0.8438 top5_acc: 0.8438 loss_cls: 1.1788 2023/02/15 04:15:39 - mmengine - INFO - Epoch(train) [26][800/940] lr: 6.6601e-06 eta: 10:02:28 time: 1.2831 data_time: 0.0435 memory: 52497 grad_norm: 29.0372 loss: 1.2230 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2230 2023/02/15 04:17:48 - mmengine - INFO - Epoch(train) [26][900/940] lr: 6.6310e-06 eta: 10:00:13 time: 1.2497 data_time: 0.0333 memory: 52497 grad_norm: 29.8912 loss: 1.1344 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1344 2023/02/15 04:18:37 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 04:18:37 - mmengine - INFO - Epoch(train) [26][940/940] lr: 6.6194e-06 eta: 9:59:15 time: 1.1477 data_time: 0.0251 memory: 52497 grad_norm: 31.2444 loss: 1.2551 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2551 2023/02/15 04:18:58 - mmengine - INFO - Epoch(val) [26][100/310] eta: 0:00:44 time: 0.2064 data_time: 0.1253 memory: 2891 2023/02/15 04:19:18 - mmengine - INFO - Epoch(val) [26][200/310] eta: 0:00:22 time: 0.1922 data_time: 0.1108 memory: 2891 2023/02/15 04:19:39 - mmengine - INFO - Epoch(val) [26][300/310] eta: 0:00:02 time: 0.2002 data_time: 0.1193 memory: 2891 2023/02/15 04:19:44 - mmengine - INFO - Epoch(val) [26][310/310] acc/top1: 0.8124 acc/top5: 0.9518 acc/mean1: 0.8124 2023/02/15 04:22:04 - mmengine - INFO - Epoch(train) [27][100/940] lr: 6.5902e-06 eta: 9:57:13 time: 1.3182 data_time: 0.0371 memory: 52497 grad_norm: 29.1299 loss: 1.2076 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2076 2023/02/15 04:24:15 - mmengine - INFO - Epoch(train) [27][200/940] lr: 6.5610e-06 eta: 9:54:59 time: 1.2861 data_time: 0.1788 memory: 52497 grad_norm: 29.2377 loss: 1.1605 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1605 2023/02/15 04:26:25 - mmengine - INFO - Epoch(train) [27][300/940] lr: 6.5318e-06 eta: 9:52:45 time: 1.4069 data_time: 0.2795 memory: 52497 grad_norm: 29.3255 loss: 1.0632 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0632 2023/02/15 04:28:41 - mmengine - INFO - Epoch(train) [27][400/940] lr: 6.5025e-06 eta: 9:50:38 time: 1.3555 data_time: 0.0269 memory: 52497 grad_norm: 28.9790 loss: 1.2028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2028 2023/02/15 04:30:50 - mmengine - INFO - Epoch(train) [27][500/940] lr: 6.4731e-06 eta: 9:48:23 time: 1.2545 data_time: 0.0447 memory: 52497 grad_norm: 29.8969 loss: 1.1375 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1375 2023/02/15 04:32:08 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 04:33:10 - mmengine - INFO - Epoch(train) [27][600/940] lr: 6.4437e-06 eta: 9:46:19 time: 1.8202 data_time: 0.0343 memory: 52497 grad_norm: 28.7244 loss: 1.2975 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.2975 2023/02/15 04:35:24 - mmengine - INFO - Epoch(train) [27][700/940] lr: 6.4143e-06 eta: 9:44:10 time: 1.2672 data_time: 0.0348 memory: 52497 grad_norm: 29.6699 loss: 1.1302 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1302 2023/02/15 04:37:31 - mmengine - INFO - Epoch(train) [27][800/940] lr: 6.3848e-06 eta: 9:41:53 time: 1.2353 data_time: 0.0429 memory: 52497 grad_norm: 29.3008 loss: 1.1983 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1983 2023/02/15 04:41:25 - mmengine - INFO - Epoch(train) [27][900/940] lr: 6.3553e-06 eta: 9:41:26 time: 1.2509 data_time: 0.0341 memory: 52497 grad_norm: 28.7496 loss: 1.2018 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2018 2023/02/15 04:42:14 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 04:42:14 - mmengine - INFO - Epoch(train) [27][940/940] lr: 6.3435e-06 eta: 9:40:29 time: 1.0889 data_time: 0.0206 memory: 52497 grad_norm: 30.0708 loss: 1.2920 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2920 2023/02/15 04:42:14 - mmengine - INFO - Saving checkpoint at 27 epochs 2023/02/15 04:42:39 - mmengine - INFO - Epoch(val) [27][100/310] eta: 0:00:43 time: 0.1973 data_time: 0.1170 memory: 2891 2023/02/15 04:42:59 - mmengine - INFO - Epoch(val) [27][200/310] eta: 0:00:22 time: 0.1901 data_time: 0.1082 memory: 2891 2023/02/15 04:43:19 - mmengine - INFO - Epoch(val) [27][300/310] eta: 0:00:02 time: 0.1678 data_time: 0.0901 memory: 2891 2023/02/15 04:43:22 - mmengine - INFO - Epoch(val) [27][310/310] acc/top1: 0.8142 acc/top5: 0.9527 acc/mean1: 0.8142 2023/02/15 04:45:43 - mmengine - INFO - Epoch(train) [28][100/940] lr: 6.3139e-06 eta: 9:38:26 time: 1.3158 data_time: 0.2091 memory: 52497 grad_norm: 28.5026 loss: 1.1162 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1162 2023/02/15 04:47:52 - mmengine - INFO - Epoch(train) [28][200/940] lr: 6.2843e-06 eta: 9:36:10 time: 1.2621 data_time: 0.1454 memory: 52497 grad_norm: 30.4429 loss: 1.2040 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.2040 2023/02/15 04:50:02 - mmengine - INFO - Epoch(train) [28][300/940] lr: 6.2547e-06 eta: 9:33:55 time: 1.3012 data_time: 0.0542 memory: 52497 grad_norm: 29.7164 loss: 1.1157 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1157 2023/02/15 04:52:17 - mmengine - INFO - Epoch(train) [28][400/940] lr: 6.2250e-06 eta: 9:31:45 time: 1.2676 data_time: 0.0893 memory: 52497 grad_norm: 29.9085 loss: 0.9650 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9650 2023/02/15 04:54:26 - mmengine - INFO - Epoch(train) [28][500/940] lr: 6.1953e-06 eta: 9:29:29 time: 1.2698 data_time: 0.1496 memory: 52497 grad_norm: 29.1655 loss: 1.2464 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2464 2023/02/15 04:56:34 - mmengine - INFO - Epoch(train) [28][600/940] lr: 6.1656e-06 eta: 9:27:12 time: 1.2466 data_time: 0.0305 memory: 52497 grad_norm: 29.8828 loss: 1.2270 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2270 2023/02/15 04:56:59 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 04:58:43 - mmengine - INFO - Epoch(train) [28][700/940] lr: 6.1358e-06 eta: 9:24:57 time: 1.2748 data_time: 0.0369 memory: 52497 grad_norm: 29.6258 loss: 1.2814 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2814 2023/02/15 05:00:50 - mmengine - INFO - Epoch(train) [28][800/940] lr: 6.1061e-06 eta: 9:22:40 time: 1.2765 data_time: 0.0346 memory: 52497 grad_norm: 29.8611 loss: 1.0984 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0984 2023/02/15 05:03:01 - mmengine - INFO - Epoch(train) [28][900/940] lr: 6.0762e-06 eta: 9:20:26 time: 1.3152 data_time: 0.0336 memory: 52497 grad_norm: 28.1484 loss: 1.1805 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1805 2023/02/15 05:03:48 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 05:03:48 - mmengine - INFO - Epoch(train) [28][940/940] lr: 6.0643e-06 eta: 9:19:28 time: 1.1128 data_time: 0.0230 memory: 52497 grad_norm: 30.7727 loss: 1.1156 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1156 2023/02/15 05:04:09 - mmengine - INFO - Epoch(val) [28][100/310] eta: 0:00:44 time: 0.2048 data_time: 0.1240 memory: 2891 2023/02/15 05:04:30 - mmengine - INFO - Epoch(val) [28][200/310] eta: 0:00:22 time: 0.1915 data_time: 0.1109 memory: 2891 2023/02/15 05:04:51 - mmengine - INFO - Epoch(val) [28][300/310] eta: 0:00:02 time: 0.2031 data_time: 0.1231 memory: 2891 2023/02/15 05:04:56 - mmengine - INFO - Epoch(val) [28][310/310] acc/top1: 0.8132 acc/top5: 0.9525 acc/mean1: 0.8131 2023/02/15 05:07:16 - mmengine - INFO - Epoch(train) [29][100/940] lr: 6.0344e-06 eta: 9:17:23 time: 1.3573 data_time: 0.0838 memory: 52497 grad_norm: 27.9053 loss: 1.0960 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0960 2023/02/15 05:09:26 - mmengine - INFO - Epoch(train) [29][200/940] lr: 6.0046e-06 eta: 9:15:09 time: 1.3359 data_time: 0.0289 memory: 52497 grad_norm: 28.8458 loss: 1.0542 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0542 2023/02/15 05:11:37 - mmengine - INFO - Epoch(train) [29][300/940] lr: 5.9747e-06 eta: 9:12:55 time: 1.2396 data_time: 0.0335 memory: 52497 grad_norm: 31.1349 loss: 1.0747 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0747 2023/02/15 05:13:45 - mmengine - INFO - Epoch(train) [29][400/940] lr: 5.9447e-06 eta: 9:10:39 time: 1.3167 data_time: 0.0317 memory: 52497 grad_norm: 29.9879 loss: 1.1736 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1736 2023/02/15 05:15:55 - mmengine - INFO - Epoch(train) [29][500/940] lr: 5.9148e-06 eta: 9:08:25 time: 1.3138 data_time: 0.0365 memory: 52497 grad_norm: 29.4314 loss: 1.1050 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1050 2023/02/15 05:18:06 - mmengine - INFO - Epoch(train) [29][600/940] lr: 5.8848e-06 eta: 9:06:11 time: 1.2838 data_time: 0.0292 memory: 52497 grad_norm: 29.1275 loss: 1.3365 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3365 2023/02/15 05:21:26 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 05:21:52 - mmengine - INFO - Epoch(train) [29][700/940] lr: 5.8549e-06 eta: 9:05:25 time: 1.2956 data_time: 0.1175 memory: 52497 grad_norm: 30.0391 loss: 1.2406 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.2406 2023/02/15 05:24:01 - mmengine - INFO - Epoch(train) [29][800/940] lr: 5.8249e-06 eta: 9:03:09 time: 1.3178 data_time: 0.1916 memory: 52497 grad_norm: 29.7083 loss: 1.0986 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0986 2023/02/15 05:26:09 - mmengine - INFO - Epoch(train) [29][900/940] lr: 5.7949e-06 eta: 9:00:52 time: 1.2939 data_time: 0.1543 memory: 52497 grad_norm: 29.5608 loss: 1.1252 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1252 2023/02/15 05:26:56 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 05:26:56 - mmengine - INFO - Epoch(train) [29][940/940] lr: 5.7829e-06 eta: 8:59:54 time: 1.1404 data_time: 0.0333 memory: 52497 grad_norm: 32.5162 loss: 1.2068 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2068 2023/02/15 05:27:18 - mmengine - INFO - Epoch(val) [29][100/310] eta: 0:00:44 time: 0.1908 data_time: 0.1107 memory: 2891 2023/02/15 05:27:38 - mmengine - INFO - Epoch(val) [29][200/310] eta: 0:00:23 time: 0.1973 data_time: 0.1168 memory: 2891 2023/02/15 05:27:59 - mmengine - INFO - Epoch(val) [29][300/310] eta: 0:00:02 time: 0.2108 data_time: 0.1297 memory: 2891 2023/02/15 05:28:03 - mmengine - INFO - Epoch(val) [29][310/310] acc/top1: 0.8133 acc/top5: 0.9550 acc/mean1: 0.8133 2023/02/15 05:30:25 - mmengine - INFO - Epoch(train) [30][100/940] lr: 5.7528e-06 eta: 8:57:50 time: 1.3536 data_time: 0.0432 memory: 52497 grad_norm: 28.2629 loss: 1.0386 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0386 2023/02/15 05:32:34 - mmengine - INFO - Epoch(train) [30][200/940] lr: 5.7228e-06 eta: 8:55:34 time: 1.2567 data_time: 0.0316 memory: 52497 grad_norm: 29.7274 loss: 1.0718 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0718 2023/02/15 05:34:46 - mmengine - INFO - Epoch(train) [30][300/940] lr: 5.6927e-06 eta: 8:53:21 time: 1.3811 data_time: 0.0312 memory: 52497 grad_norm: 29.1758 loss: 1.1123 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1123 2023/02/15 05:36:54 - mmengine - INFO - Epoch(train) [30][400/940] lr: 5.6627e-06 eta: 8:51:05 time: 1.3088 data_time: 0.0323 memory: 52497 grad_norm: 30.1108 loss: 1.0775 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0775 2023/02/15 05:39:03 - mmengine - INFO - Epoch(train) [30][500/940] lr: 5.6326e-06 eta: 8:48:49 time: 1.3446 data_time: 0.0351 memory: 52497 grad_norm: 28.4502 loss: 1.0600 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0600 2023/02/15 05:41:13 - mmengine - INFO - Epoch(train) [30][600/940] lr: 5.6026e-06 eta: 8:46:34 time: 1.2427 data_time: 0.0312 memory: 52497 grad_norm: 30.0056 loss: 1.0101 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0101 2023/02/15 05:43:23 - mmengine - INFO - Epoch(train) [30][700/940] lr: 5.5725e-06 eta: 8:44:19 time: 1.2533 data_time: 0.0366 memory: 52497 grad_norm: 28.7004 loss: 1.0682 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0682 2023/02/15 05:44:15 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 05:45:32 - mmengine - INFO - Epoch(train) [30][800/940] lr: 5.5424e-06 eta: 8:42:04 time: 1.3204 data_time: 0.0395 memory: 52497 grad_norm: 29.0284 loss: 1.0684 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0684 2023/02/15 05:47:43 - mmengine - INFO - Epoch(train) [30][900/940] lr: 5.5123e-06 eta: 8:39:50 time: 1.3133 data_time: 0.0349 memory: 52497 grad_norm: 29.5596 loss: 1.0909 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0909 2023/02/15 05:48:30 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 05:48:30 - mmengine - INFO - Epoch(train) [30][940/940] lr: 5.5003e-06 eta: 8:38:52 time: 1.1336 data_time: 0.0237 memory: 52497 grad_norm: 30.7010 loss: 1.1432 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1432 2023/02/15 05:48:30 - mmengine - INFO - Saving checkpoint at 30 epochs 2023/02/15 05:48:56 - mmengine - INFO - Epoch(val) [30][100/310] eta: 0:00:44 time: 0.1990 data_time: 0.1185 memory: 2891 2023/02/15 05:49:16 - mmengine - INFO - Epoch(val) [30][200/310] eta: 0:00:23 time: 0.2017 data_time: 0.1210 memory: 2891 2023/02/15 05:49:36 - mmengine - INFO - Epoch(val) [30][300/310] eta: 0:00:02 time: 0.1652 data_time: 0.0876 memory: 2891 2023/02/15 05:49:39 - mmengine - INFO - Epoch(val) [30][310/310] acc/top1: 0.8159 acc/top5: 0.9531 acc/mean1: 0.8158 2023/02/15 05:49:39 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_25.pth is removed 2023/02/15 05:49:41 - mmengine - INFO - The best checkpoint with 0.8159 acc/top1 at 30 epoch is saved to best_acc/top1_epoch_30.pth. 2023/02/15 05:51:59 - mmengine - INFO - Epoch(train) [31][100/940] lr: 5.4702e-06 eta: 8:36:44 time: 1.2940 data_time: 0.0356 memory: 52497 grad_norm: 28.9294 loss: 1.0913 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0913 2023/02/15 05:54:10 - mmengine - INFO - Epoch(train) [31][200/940] lr: 5.4401e-06 eta: 8:34:30 time: 1.2532 data_time: 0.0315 memory: 52497 grad_norm: 28.8691 loss: 1.0549 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0549 2023/02/15 05:56:18 - mmengine - INFO - Epoch(train) [31][300/940] lr: 5.4101e-06 eta: 8:32:14 time: 1.3645 data_time: 0.0360 memory: 52497 grad_norm: 29.5131 loss: 1.1400 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1400 2023/02/15 05:58:28 - mmengine - INFO - Epoch(train) [31][400/940] lr: 5.3800e-06 eta: 8:29:59 time: 1.2980 data_time: 0.0322 memory: 52497 grad_norm: 29.5023 loss: 1.0329 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0329 2023/02/15 06:00:36 - mmengine - INFO - Epoch(train) [31][500/940] lr: 5.3499e-06 eta: 8:27:43 time: 1.2648 data_time: 0.0332 memory: 52497 grad_norm: 29.2364 loss: 1.1496 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1496 2023/02/15 06:02:46 - mmengine - INFO - Epoch(train) [31][600/940] lr: 5.3199e-06 eta: 8:25:29 time: 1.2455 data_time: 0.0311 memory: 52497 grad_norm: 28.7659 loss: 1.0439 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0439 2023/02/15 06:04:55 - mmengine - INFO - Epoch(train) [31][700/940] lr: 5.2898e-06 eta: 8:23:14 time: 1.2445 data_time: 0.0345 memory: 52497 grad_norm: 29.5865 loss: 1.0781 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0781 2023/02/15 06:07:04 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 06:07:04 - mmengine - INFO - Epoch(train) [31][800/940] lr: 5.2598e-06 eta: 8:20:59 time: 1.3069 data_time: 0.0383 memory: 52497 grad_norm: 29.2700 loss: 1.1131 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1131 2023/02/15 06:09:13 - mmengine - INFO - Epoch(train) [31][900/940] lr: 5.2298e-06 eta: 8:18:44 time: 1.2884 data_time: 0.0357 memory: 52497 grad_norm: 29.8658 loss: 1.2999 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2999 2023/02/15 06:10:02 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 06:10:02 - mmengine - INFO - Epoch(train) [31][940/940] lr: 5.2177e-06 eta: 8:17:48 time: 1.1454 data_time: 0.0200 memory: 52497 grad_norm: 31.3567 loss: 1.0932 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.0932 2023/02/15 06:10:24 - mmengine - INFO - Epoch(val) [31][100/310] eta: 0:00:44 time: 0.2006 data_time: 0.1199 memory: 2891 2023/02/15 06:10:44 - mmengine - INFO - Epoch(val) [31][200/310] eta: 0:00:22 time: 0.1995 data_time: 0.1190 memory: 2891 2023/02/15 06:11:05 - mmengine - INFO - Epoch(val) [31][300/310] eta: 0:00:02 time: 0.2019 data_time: 0.1217 memory: 2891 2023/02/15 06:11:09 - mmengine - INFO - Epoch(val) [31][310/310] acc/top1: 0.8162 acc/top5: 0.9541 acc/mean1: 0.8161 2023/02/15 06:11:09 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_30.pth is removed 2023/02/15 06:11:11 - mmengine - INFO - The best checkpoint with 0.8162 acc/top1 at 31 epoch is saved to best_acc/top1_epoch_31.pth. 2023/02/15 06:13:38 - mmengine - INFO - Epoch(train) [32][100/940] lr: 5.1877e-06 eta: 8:15:46 time: 1.3151 data_time: 0.0342 memory: 52497 grad_norm: 28.3489 loss: 1.0321 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0321 2023/02/15 06:15:47 - mmengine - INFO - Epoch(train) [32][200/940] lr: 5.1577e-06 eta: 8:13:32 time: 1.2277 data_time: 0.1248 memory: 52497 grad_norm: 29.7019 loss: 1.1176 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1176 2023/02/15 06:17:56 - mmengine - INFO - Epoch(train) [32][300/940] lr: 5.1277e-06 eta: 8:11:16 time: 1.2987 data_time: 0.0365 memory: 52497 grad_norm: 29.4554 loss: 1.0445 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0445 2023/02/15 06:20:04 - mmengine - INFO - Epoch(train) [32][400/940] lr: 5.0978e-06 eta: 8:09:01 time: 1.2606 data_time: 0.0319 memory: 52497 grad_norm: 29.6744 loss: 1.1087 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1087 2023/02/15 06:22:13 - mmengine - INFO - Epoch(train) [32][500/940] lr: 5.0678e-06 eta: 8:06:46 time: 1.3362 data_time: 0.0269 memory: 52497 grad_norm: 29.9497 loss: 1.1954 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1954 2023/02/15 06:24:20 - mmengine - INFO - Epoch(train) [32][600/940] lr: 5.0379e-06 eta: 8:04:29 time: 1.2283 data_time: 0.0339 memory: 52497 grad_norm: 30.4183 loss: 1.0978 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0978 2023/02/15 06:26:30 - mmengine - INFO - Epoch(train) [32][700/940] lr: 5.0080e-06 eta: 8:02:15 time: 1.2764 data_time: 0.0366 memory: 52497 grad_norm: 29.3759 loss: 1.0567 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0567 2023/02/15 06:28:39 - mmengine - INFO - Epoch(train) [32][800/940] lr: 4.9781e-06 eta: 8:00:00 time: 1.4013 data_time: 0.0326 memory: 52497 grad_norm: 29.3345 loss: 1.0526 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.0526 2023/02/15 06:29:55 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 06:30:45 - mmengine - INFO - Epoch(train) [32][900/940] lr: 4.9482e-06 eta: 7:57:44 time: 1.3009 data_time: 0.0343 memory: 52497 grad_norm: 29.6556 loss: 1.1962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1962 2023/02/15 06:31:33 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 06:31:33 - mmengine - INFO - Epoch(train) [32][940/940] lr: 4.9363e-06 eta: 7:56:47 time: 1.0747 data_time: 0.0240 memory: 52497 grad_norm: 32.0167 loss: 1.1424 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1424 2023/02/15 06:31:55 - mmengine - INFO - Epoch(val) [32][100/310] eta: 0:00:45 time: 0.2070 data_time: 0.1267 memory: 2891 2023/02/15 06:32:15 - mmengine - INFO - Epoch(val) [32][200/310] eta: 0:00:22 time: 0.1795 data_time: 0.0982 memory: 2891 2023/02/15 06:32:36 - mmengine - INFO - Epoch(val) [32][300/310] eta: 0:00:02 time: 0.1968 data_time: 0.1171 memory: 2891 2023/02/15 06:32:40 - mmengine - INFO - Epoch(val) [32][310/310] acc/top1: 0.8194 acc/top5: 0.9544 acc/mean1: 0.8193 2023/02/15 06:32:40 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_31.pth is removed 2023/02/15 06:32:42 - mmengine - INFO - The best checkpoint with 0.8194 acc/top1 at 32 epoch is saved to best_acc/top1_epoch_32.pth. 2023/02/15 06:35:00 - mmengine - INFO - Epoch(train) [33][100/940] lr: 4.9065e-06 eta: 7:54:39 time: 1.3824 data_time: 0.2273 memory: 52497 grad_norm: 29.3846 loss: 0.9862 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9862 2023/02/15 06:37:08 - mmengine - INFO - Epoch(train) [33][200/940] lr: 4.8767e-06 eta: 7:52:23 time: 1.2493 data_time: 0.1427 memory: 52497 grad_norm: 29.6721 loss: 1.0745 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0745 2023/02/15 06:39:18 - mmengine - INFO - Epoch(train) [33][300/940] lr: 4.8469e-06 eta: 7:50:09 time: 1.3202 data_time: 0.2108 memory: 52497 grad_norm: 29.8691 loss: 1.1242 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1242 2023/02/15 06:41:25 - mmengine - INFO - Epoch(train) [33][400/940] lr: 4.8171e-06 eta: 7:47:53 time: 1.2719 data_time: 0.0286 memory: 52497 grad_norm: 29.5981 loss: 1.1362 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1362 2023/02/15 06:43:36 - mmengine - INFO - Epoch(train) [33][500/940] lr: 4.7874e-06 eta: 7:45:40 time: 1.3592 data_time: 0.0358 memory: 52497 grad_norm: 29.6652 loss: 1.0600 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 1.0600 2023/02/15 06:45:45 - mmengine - INFO - Epoch(train) [33][600/940] lr: 4.7577e-06 eta: 7:43:25 time: 1.2266 data_time: 0.0308 memory: 52497 grad_norm: 28.7541 loss: 1.1080 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1080 2023/02/15 06:47:51 - mmengine - INFO - Epoch(train) [33][700/940] lr: 4.7281e-06 eta: 7:41:09 time: 1.2730 data_time: 0.0325 memory: 52497 grad_norm: 29.8728 loss: 1.1770 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1770 2023/02/15 06:49:59 - mmengine - INFO - Epoch(train) [33][800/940] lr: 4.6985e-06 eta: 7:38:54 time: 1.2778 data_time: 0.0324 memory: 52497 grad_norm: 29.2137 loss: 1.1845 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1845 2023/02/15 06:52:07 - mmengine - INFO - Epoch(train) [33][900/940] lr: 4.6689e-06 eta: 7:36:39 time: 1.3130 data_time: 0.0345 memory: 52497 grad_norm: 30.3706 loss: 1.0469 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0469 2023/02/15 06:52:33 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 06:52:56 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 06:52:56 - mmengine - INFO - Epoch(train) [33][940/940] lr: 4.6571e-06 eta: 7:35:43 time: 1.1409 data_time: 0.0229 memory: 52497 grad_norm: 30.6813 loss: 1.1256 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.1256 2023/02/15 06:52:56 - mmengine - INFO - Saving checkpoint at 33 epochs 2023/02/15 06:53:21 - mmengine - INFO - Epoch(val) [33][100/310] eta: 0:00:44 time: 0.1984 data_time: 0.1173 memory: 2891 2023/02/15 06:53:42 - mmengine - INFO - Epoch(val) [33][200/310] eta: 0:00:22 time: 0.1943 data_time: 0.1135 memory: 2891 2023/02/15 06:54:01 - mmengine - INFO - Epoch(val) [33][300/310] eta: 0:00:02 time: 0.1679 data_time: 0.0901 memory: 2891 2023/02/15 06:54:04 - mmengine - INFO - Epoch(val) [33][310/310] acc/top1: 0.8218 acc/top5: 0.9556 acc/mean1: 0.8218 2023/02/15 06:54:04 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_32.pth is removed 2023/02/15 06:54:07 - mmengine - INFO - The best checkpoint with 0.8218 acc/top1 at 33 epoch is saved to best_acc/top1_epoch_33.pth. 2023/02/15 06:56:25 - mmengine - INFO - Epoch(train) [34][100/940] lr: 4.6276e-06 eta: 7:33:35 time: 1.3707 data_time: 0.2669 memory: 52497 grad_norm: 29.0614 loss: 1.0907 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0907 2023/02/15 06:58:33 - mmengine - INFO - Epoch(train) [34][200/940] lr: 4.5981e-06 eta: 7:31:20 time: 1.2313 data_time: 0.1019 memory: 52497 grad_norm: 30.3562 loss: 1.0337 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0337 2023/02/15 07:00:43 - mmengine - INFO - Epoch(train) [34][300/940] lr: 4.5686e-06 eta: 7:29:06 time: 1.3118 data_time: 0.2067 memory: 52497 grad_norm: 30.8577 loss: 1.1065 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1065 2023/02/15 07:02:52 - mmengine - INFO - Epoch(train) [34][400/940] lr: 4.5392e-06 eta: 7:26:52 time: 1.2038 data_time: 0.0932 memory: 52497 grad_norm: 29.6352 loss: 0.9982 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9982 2023/02/15 07:05:00 - mmengine - INFO - Epoch(train) [34][500/940] lr: 4.5098e-06 eta: 7:24:37 time: 1.3416 data_time: 0.2292 memory: 52497 grad_norm: 29.8494 loss: 1.1819 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1819 2023/02/15 07:07:08 - mmengine - INFO - Epoch(train) [34][600/940] lr: 4.4805e-06 eta: 7:22:22 time: 1.2846 data_time: 0.1710 memory: 52497 grad_norm: 30.0677 loss: 1.0667 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0667 2023/02/15 07:09:16 - mmengine - INFO - Epoch(train) [34][700/940] lr: 4.4513e-06 eta: 7:20:07 time: 1.2225 data_time: 0.0834 memory: 52497 grad_norm: 29.7350 loss: 1.1672 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1672 2023/02/15 07:11:24 - mmengine - INFO - Epoch(train) [34][800/940] lr: 4.4220e-06 eta: 7:17:52 time: 1.2610 data_time: 0.1361 memory: 52497 grad_norm: 29.2611 loss: 1.0468 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0468 2023/02/15 07:13:35 - mmengine - INFO - Epoch(train) [34][900/940] lr: 4.3928e-06 eta: 7:15:39 time: 1.3272 data_time: 0.2248 memory: 52497 grad_norm: 31.1513 loss: 1.0977 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0977 2023/02/15 07:14:21 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 07:14:21 - mmengine - INFO - Epoch(train) [34][940/940] lr: 4.3812e-06 eta: 7:14:42 time: 1.1304 data_time: 0.0856 memory: 52497 grad_norm: 30.1377 loss: 1.1673 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1673 2023/02/15 07:14:42 - mmengine - INFO - Epoch(val) [34][100/310] eta: 0:00:43 time: 0.1998 data_time: 0.1196 memory: 2891 2023/02/15 07:15:03 - mmengine - INFO - Epoch(val) [34][200/310] eta: 0:00:22 time: 0.1902 data_time: 0.1098 memory: 2891 2023/02/15 07:15:24 - mmengine - INFO - Epoch(val) [34][300/310] eta: 0:00:02 time: 0.2049 data_time: 0.1241 memory: 2891 2023/02/15 07:15:28 - mmengine - INFO - Epoch(val) [34][310/310] acc/top1: 0.8206 acc/top5: 0.9551 acc/mean1: 0.8206 2023/02/15 07:16:30 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 07:17:51 - mmengine - INFO - Epoch(train) [35][100/940] lr: 4.3521e-06 eta: 7:12:37 time: 1.2966 data_time: 0.0361 memory: 52497 grad_norm: 29.0272 loss: 1.0160 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0160 2023/02/15 07:19:59 - mmengine - INFO - Epoch(train) [35][200/940] lr: 4.3230e-06 eta: 7:10:22 time: 1.2046 data_time: 0.0340 memory: 52497 grad_norm: 28.4151 loss: 1.0799 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0799 2023/02/15 07:22:10 - mmengine - INFO - Epoch(train) [35][300/940] lr: 4.2940e-06 eta: 7:08:09 time: 1.3124 data_time: 0.0342 memory: 52497 grad_norm: 29.6372 loss: 1.1456 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1456 2023/02/15 07:24:17 - mmengine - INFO - Epoch(train) [35][400/940] lr: 4.2651e-06 eta: 7:05:54 time: 1.2420 data_time: 0.0317 memory: 52497 grad_norm: 29.9401 loss: 1.0453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0453 2023/02/15 07:26:27 - mmengine - INFO - Epoch(train) [35][500/940] lr: 4.2362e-06 eta: 7:03:40 time: 1.3327 data_time: 0.0413 memory: 52497 grad_norm: 29.9168 loss: 1.0451 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0451 2023/02/15 07:28:33 - mmengine - INFO - Epoch(train) [35][600/940] lr: 4.2073e-06 eta: 7:01:25 time: 1.2612 data_time: 0.0380 memory: 52497 grad_norm: 30.3057 loss: 1.1873 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1873 2023/02/15 07:30:42 - mmengine - INFO - Epoch(train) [35][700/940] lr: 4.1785e-06 eta: 6:59:11 time: 1.2267 data_time: 0.0330 memory: 52497 grad_norm: 29.7935 loss: 1.0721 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0721 2023/02/15 07:32:51 - mmengine - INFO - Epoch(train) [35][800/940] lr: 4.1498e-06 eta: 6:56:57 time: 1.3526 data_time: 0.0412 memory: 52497 grad_norm: 29.1495 loss: 1.0789 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0789 2023/02/15 07:34:57 - mmengine - INFO - Epoch(train) [35][900/940] lr: 4.1212e-06 eta: 6:54:41 time: 1.3075 data_time: 0.0911 memory: 52497 grad_norm: 30.1375 loss: 1.0715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0715 2023/02/15 07:35:45 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 07:35:45 - mmengine - INFO - Epoch(train) [35][940/940] lr: 4.1097e-06 eta: 6:53:46 time: 1.1503 data_time: 0.0434 memory: 52497 grad_norm: 32.6598 loss: 1.0926 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0926 2023/02/15 07:36:07 - mmengine - INFO - Epoch(val) [35][100/310] eta: 0:00:44 time: 0.1968 data_time: 0.1164 memory: 2891 2023/02/15 07:36:27 - mmengine - INFO - Epoch(val) [35][200/310] eta: 0:00:22 time: 0.2002 data_time: 0.1199 memory: 2891 2023/02/15 07:36:48 - mmengine - INFO - Epoch(val) [35][300/310] eta: 0:00:02 time: 0.2037 data_time: 0.1221 memory: 2891 2023/02/15 07:36:52 - mmengine - INFO - Epoch(val) [35][310/310] acc/top1: 0.8207 acc/top5: 0.9550 acc/mean1: 0.8206 2023/02/15 07:39:13 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 07:39:13 - mmengine - INFO - Epoch(train) [36][100/940] lr: 4.0811e-06 eta: 6:51:39 time: 1.3116 data_time: 0.0424 memory: 52497 grad_norm: 29.7559 loss: 1.1232 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1232 2023/02/15 07:41:23 - mmengine - INFO - Epoch(train) [36][200/940] lr: 4.0526e-06 eta: 6:49:26 time: 1.2333 data_time: 0.0376 memory: 52497 grad_norm: 28.9992 loss: 1.0447 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0447 2023/02/15 07:43:32 - mmengine - INFO - Epoch(train) [36][300/940] lr: 4.0242e-06 eta: 6:47:12 time: 1.3677 data_time: 0.0314 memory: 52497 grad_norm: 29.6221 loss: 1.1258 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1258 2023/02/15 07:45:39 - mmengine - INFO - Epoch(train) [36][400/940] lr: 3.9958e-06 eta: 6:44:57 time: 1.2467 data_time: 0.0349 memory: 52497 grad_norm: 29.1349 loss: 0.9239 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.9239 2023/02/15 07:47:49 - mmengine - INFO - Epoch(train) [36][500/940] lr: 3.9675e-06 eta: 6:42:44 time: 1.3257 data_time: 0.0347 memory: 52497 grad_norm: 30.6883 loss: 1.0096 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0096 2023/02/15 07:49:58 - mmengine - INFO - Epoch(train) [36][600/940] lr: 3.9392e-06 eta: 6:40:30 time: 1.3064 data_time: 0.0329 memory: 52497 grad_norm: 29.8784 loss: 1.0231 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0231 2023/02/15 07:52:05 - mmengine - INFO - Epoch(train) [36][700/940] lr: 3.9111e-06 eta: 6:38:15 time: 1.3055 data_time: 0.0338 memory: 52497 grad_norm: 28.4570 loss: 1.0715 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0715 2023/02/15 07:54:15 - mmengine - INFO - Epoch(train) [36][800/940] lr: 3.8829e-06 eta: 6:36:02 time: 1.3024 data_time: 0.0377 memory: 52497 grad_norm: 30.0592 loss: 1.0230 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0230 2023/02/15 07:56:24 - mmengine - INFO - Epoch(train) [36][900/940] lr: 3.8549e-06 eta: 6:33:48 time: 1.2230 data_time: 0.0304 memory: 52497 grad_norm: 29.1990 loss: 0.9326 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9326 2023/02/15 07:57:12 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 07:57:12 - mmengine - INFO - Epoch(train) [36][940/940] lr: 3.8437e-06 eta: 6:32:53 time: 1.1495 data_time: 0.0258 memory: 52497 grad_norm: 32.5777 loss: 0.9024 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9024 2023/02/15 07:57:12 - mmengine - INFO - Saving checkpoint at 36 epochs 2023/02/15 07:57:37 - mmengine - INFO - Epoch(val) [36][100/310] eta: 0:00:44 time: 0.1944 data_time: 0.1136 memory: 2891 2023/02/15 07:57:58 - mmengine - INFO - Epoch(val) [36][200/310] eta: 0:00:22 time: 0.2042 data_time: 0.1232 memory: 2891 2023/02/15 07:58:18 - mmengine - INFO - Epoch(val) [36][300/310] eta: 0:00:02 time: 0.1665 data_time: 0.0890 memory: 2891 2023/02/15 07:58:20 - mmengine - INFO - Epoch(val) [36][310/310] acc/top1: 0.8196 acc/top5: 0.9555 acc/mean1: 0.8195 2023/02/15 08:00:40 - mmengine - INFO - Epoch(train) [37][100/940] lr: 3.8158e-06 eta: 6:30:45 time: 1.3289 data_time: 0.0452 memory: 52497 grad_norm: 28.5397 loss: 0.9721 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9721 2023/02/15 08:01:56 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 08:02:48 - mmengine - INFO - Epoch(train) [37][200/940] lr: 3.7879e-06 eta: 6:28:31 time: 1.3021 data_time: 0.0317 memory: 52497 grad_norm: 29.6296 loss: 1.0506 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0506 2023/02/15 08:04:58 - mmengine - INFO - Epoch(train) [37][300/940] lr: 3.7602e-06 eta: 6:26:18 time: 1.2429 data_time: 0.0391 memory: 52497 grad_norm: 30.5802 loss: 1.0340 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0340 2023/02/15 08:07:11 - mmengine - INFO - Epoch(train) [37][400/940] lr: 3.7325e-06 eta: 6:24:06 time: 1.3219 data_time: 0.0357 memory: 52497 grad_norm: 30.0978 loss: 1.0167 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0167 2023/02/15 08:09:19 - mmengine - INFO - Epoch(train) [37][500/940] lr: 3.7048e-06 eta: 6:21:52 time: 1.2361 data_time: 0.0329 memory: 52497 grad_norm: 28.9078 loss: 1.0821 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0821 2023/02/15 08:11:26 - mmengine - INFO - Epoch(train) [37][600/940] lr: 3.6773e-06 eta: 6:19:38 time: 1.2114 data_time: 0.0339 memory: 52497 grad_norm: 31.7761 loss: 1.1105 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1105 2023/02/15 08:13:33 - mmengine - INFO - Epoch(train) [37][700/940] lr: 3.6498e-06 eta: 6:17:23 time: 1.2331 data_time: 0.0398 memory: 52497 grad_norm: 28.7594 loss: 0.9468 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9468 2023/02/15 08:15:42 - mmengine - INFO - Epoch(train) [37][800/940] lr: 3.6225e-06 eta: 6:15:10 time: 1.2646 data_time: 0.0314 memory: 52497 grad_norm: 29.7616 loss: 0.9767 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9767 2023/02/15 08:17:50 - mmengine - INFO - Epoch(train) [37][900/940] lr: 3.5952e-06 eta: 6:12:56 time: 1.2383 data_time: 0.0363 memory: 52497 grad_norm: 30.1775 loss: 1.0286 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0286 2023/02/15 08:18:38 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 08:18:38 - mmengine - INFO - Epoch(train) [37][940/940] lr: 3.5843e-06 eta: 6:12:01 time: 1.1169 data_time: 0.0238 memory: 52497 grad_norm: 32.2418 loss: 1.0863 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0863 2023/02/15 08:18:59 - mmengine - INFO - Epoch(val) [37][100/310] eta: 0:00:44 time: 0.2017 data_time: 0.1207 memory: 2891 2023/02/15 08:19:20 - mmengine - INFO - Epoch(val) [37][200/310] eta: 0:00:23 time: 0.1926 data_time: 0.1120 memory: 2891 2023/02/15 08:19:40 - mmengine - INFO - Epoch(val) [37][300/310] eta: 0:00:02 time: 0.1988 data_time: 0.1183 memory: 2891 2023/02/15 08:19:45 - mmengine - INFO - Epoch(val) [37][310/310] acc/top1: 0.8215 acc/top5: 0.9551 acc/mean1: 0.8215 2023/02/15 08:22:05 - mmengine - INFO - Epoch(train) [38][100/940] lr: 3.5571e-06 eta: 6:09:53 time: 1.3245 data_time: 0.0394 memory: 52497 grad_norm: 30.3975 loss: 0.9879 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9879 2023/02/15 08:24:12 - mmengine - INFO - Epoch(train) [38][200/940] lr: 3.5300e-06 eta: 6:07:39 time: 1.2922 data_time: 0.0953 memory: 52497 grad_norm: 28.7288 loss: 0.9560 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9560 2023/02/15 08:24:38 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 08:26:22 - mmengine - INFO - Epoch(train) [38][300/940] lr: 3.5030e-06 eta: 6:05:26 time: 1.3410 data_time: 0.2176 memory: 52497 grad_norm: 30.1300 loss: 1.0348 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0348 2023/02/15 08:28:28 - mmengine - INFO - Epoch(train) [38][400/940] lr: 3.4761e-06 eta: 6:03:11 time: 1.2606 data_time: 0.0604 memory: 52497 grad_norm: 30.0654 loss: 0.9743 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9743 2023/02/15 08:30:37 - mmengine - INFO - Epoch(train) [38][500/940] lr: 3.4493e-06 eta: 6:00:58 time: 1.2503 data_time: 0.0316 memory: 52497 grad_norm: 29.6968 loss: 1.0058 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0058 2023/02/15 08:32:47 - mmengine - INFO - Epoch(train) [38][600/940] lr: 3.4225e-06 eta: 5:58:45 time: 1.2640 data_time: 0.0340 memory: 52497 grad_norm: 29.1177 loss: 0.9907 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9907 2023/02/15 08:34:58 - mmengine - INFO - Epoch(train) [38][700/940] lr: 3.3959e-06 eta: 5:56:33 time: 1.3650 data_time: 0.0337 memory: 52497 grad_norm: 30.5384 loss: 0.9720 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9720 2023/02/15 08:37:01 - mmengine - INFO - Epoch(train) [38][800/940] lr: 3.3694e-06 eta: 5:54:17 time: 1.3035 data_time: 0.0315 memory: 52497 grad_norm: 29.7841 loss: 0.9007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9007 2023/02/15 08:39:12 - mmengine - INFO - Epoch(train) [38][900/940] lr: 3.3429e-06 eta: 5:52:05 time: 1.3650 data_time: 0.2243 memory: 52497 grad_norm: 29.3116 loss: 1.0492 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0492 2023/02/15 08:39:59 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 08:39:59 - mmengine - INFO - Epoch(train) [38][940/940] lr: 3.3324e-06 eta: 5:51:09 time: 1.0864 data_time: 0.0241 memory: 52497 grad_norm: 31.0175 loss: 1.0170 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.0170 2023/02/15 08:40:20 - mmengine - INFO - Epoch(val) [38][100/310] eta: 0:00:44 time: 0.2158 data_time: 0.1346 memory: 2891 2023/02/15 08:40:41 - mmengine - INFO - Epoch(val) [38][200/310] eta: 0:00:22 time: 0.1761 data_time: 0.0956 memory: 2891 2023/02/15 08:41:01 - mmengine - INFO - Epoch(val) [38][300/310] eta: 0:00:02 time: 0.2058 data_time: 0.1253 memory: 2891 2023/02/15 08:41:06 - mmengine - INFO - Epoch(val) [38][310/310] acc/top1: 0.8214 acc/top5: 0.9560 acc/mean1: 0.8214 2023/02/15 08:43:27 - mmengine - INFO - Epoch(train) [39][100/940] lr: 3.3061e-06 eta: 5:49:01 time: 1.3581 data_time: 0.0388 memory: 52497 grad_norm: 29.8745 loss: 1.0005 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0005 2023/02/15 08:45:35 - mmengine - INFO - Epoch(train) [39][200/940] lr: 3.2798e-06 eta: 5:46:48 time: 1.1854 data_time: 0.0314 memory: 52497 grad_norm: 30.4152 loss: 0.9913 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9913 2023/02/15 08:47:17 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 08:47:44 - mmengine - INFO - Epoch(train) [39][300/940] lr: 3.2537e-06 eta: 5:44:34 time: 1.3166 data_time: 0.0365 memory: 52497 grad_norm: 29.6951 loss: 1.0861 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0861 2023/02/15 08:49:53 - mmengine - INFO - Epoch(train) [39][400/940] lr: 3.2277e-06 eta: 5:42:22 time: 1.3017 data_time: 0.0316 memory: 52497 grad_norm: 30.1419 loss: 0.9300 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9300 2023/02/15 08:52:00 - mmengine - INFO - Epoch(train) [39][500/940] lr: 3.2018e-06 eta: 5:40:08 time: 1.3052 data_time: 0.0331 memory: 52497 grad_norm: 29.2966 loss: 0.9078 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9078 2023/02/15 08:54:08 - mmengine - INFO - Epoch(train) [39][600/940] lr: 3.1760e-06 eta: 5:37:54 time: 1.2418 data_time: 0.0339 memory: 52497 grad_norm: 30.0741 loss: 1.0234 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0234 2023/02/15 08:56:14 - mmengine - INFO - Epoch(train) [39][700/940] lr: 3.1503e-06 eta: 5:35:40 time: 1.2885 data_time: 0.0340 memory: 52497 grad_norm: 30.4881 loss: 1.0051 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0051 2023/02/15 08:58:23 - mmengine - INFO - Epoch(train) [39][800/940] lr: 3.1247e-06 eta: 5:33:27 time: 1.3000 data_time: 0.1051 memory: 52497 grad_norm: 29.6557 loss: 1.0582 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0582 2023/02/15 09:00:32 - mmengine - INFO - Epoch(train) [39][900/940] lr: 3.0992e-06 eta: 5:31:14 time: 1.2493 data_time: 0.0725 memory: 52497 grad_norm: 30.0319 loss: 0.9837 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9837 2023/02/15 09:01:20 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 09:01:20 - mmengine - INFO - Epoch(train) [39][940/940] lr: 3.0890e-06 eta: 5:30:19 time: 1.0761 data_time: 0.0224 memory: 52497 grad_norm: 32.2053 loss: 1.1186 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1186 2023/02/15 09:01:20 - mmengine - INFO - Saving checkpoint at 39 epochs 2023/02/15 09:01:46 - mmengine - INFO - Epoch(val) [39][100/310] eta: 0:00:44 time: 0.2050 data_time: 0.1244 memory: 2891 2023/02/15 09:02:06 - mmengine - INFO - Epoch(val) [39][200/310] eta: 0:00:22 time: 0.1937 data_time: 0.1133 memory: 2891 2023/02/15 09:02:26 - mmengine - INFO - Epoch(val) [39][300/310] eta: 0:00:02 time: 0.1685 data_time: 0.0906 memory: 2891 2023/02/15 09:02:29 - mmengine - INFO - Epoch(val) [39][310/310] acc/top1: 0.8248 acc/top5: 0.9562 acc/mean1: 0.8247 2023/02/15 09:02:29 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_33.pth is removed 2023/02/15 09:02:31 - mmengine - INFO - The best checkpoint with 0.8248 acc/top1 at 39 epoch is saved to best_acc/top1_epoch_39.pth. 2023/02/15 09:04:50 - mmengine - INFO - Epoch(train) [40][100/940] lr: 3.0637e-06 eta: 5:28:10 time: 1.3362 data_time: 0.0404 memory: 52497 grad_norm: 29.8217 loss: 0.9991 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9991 2023/02/15 09:06:57 - mmengine - INFO - Epoch(train) [40][200/940] lr: 3.0385e-06 eta: 5:25:57 time: 1.2513 data_time: 0.1405 memory: 52497 grad_norm: 29.8475 loss: 0.9903 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9903 2023/02/15 09:09:06 - mmengine - INFO - Epoch(train) [40][300/940] lr: 3.0133e-06 eta: 5:23:44 time: 1.2264 data_time: 0.0433 memory: 52497 grad_norm: 30.0258 loss: 1.1183 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1183 2023/02/15 09:09:57 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 09:11:12 - mmengine - INFO - Epoch(train) [40][400/940] lr: 2.9883e-06 eta: 5:21:30 time: 1.2336 data_time: 0.0967 memory: 52497 grad_norm: 28.9967 loss: 0.9586 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9586 2023/02/15 09:13:22 - mmengine - INFO - Epoch(train) [40][500/940] lr: 2.9634e-06 eta: 5:19:17 time: 1.3314 data_time: 0.1698 memory: 52497 grad_norm: 29.5760 loss: 0.9374 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 0.9374 2023/02/15 09:15:31 - mmengine - INFO - Epoch(train) [40][600/940] lr: 2.9386e-06 eta: 5:17:04 time: 1.2909 data_time: 0.0329 memory: 52497 grad_norm: 30.6211 loss: 0.9259 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9259 2023/02/15 09:17:42 - mmengine - INFO - Epoch(train) [40][700/940] lr: 2.9140e-06 eta: 5:14:53 time: 1.3949 data_time: 0.0368 memory: 52497 grad_norm: 30.8036 loss: 0.9716 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9716 2023/02/15 09:19:48 - mmengine - INFO - Epoch(train) [40][800/940] lr: 2.8894e-06 eta: 5:12:39 time: 1.2971 data_time: 0.0422 memory: 52497 grad_norm: 30.7630 loss: 1.0826 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0826 2023/02/15 09:21:58 - mmengine - INFO - Epoch(train) [40][900/940] lr: 2.8650e-06 eta: 5:10:26 time: 1.3027 data_time: 0.0355 memory: 52497 grad_norm: 28.0800 loss: 0.9154 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9154 2023/02/15 09:22:46 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 09:22:46 - mmengine - INFO - Epoch(train) [40][940/940] lr: 2.8552e-06 eta: 5:09:32 time: 1.1519 data_time: 0.0227 memory: 52497 grad_norm: 31.8237 loss: 1.0080 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0080 2023/02/15 09:23:07 - mmengine - INFO - Epoch(val) [40][100/310] eta: 0:00:44 time: 0.1950 data_time: 0.1143 memory: 2891 2023/02/15 09:23:28 - mmengine - INFO - Epoch(val) [40][200/310] eta: 0:00:22 time: 0.1789 data_time: 0.0973 memory: 2891 2023/02/15 09:23:49 - mmengine - INFO - Epoch(val) [40][300/310] eta: 0:00:02 time: 0.2078 data_time: 0.1278 memory: 2891 2023/02/15 09:23:53 - mmengine - INFO - Epoch(val) [40][310/310] acc/top1: 0.8243 acc/top5: 0.9561 acc/mean1: 0.8242 2023/02/15 09:26:14 - mmengine - INFO - Epoch(train) [41][100/940] lr: 2.8309e-06 eta: 5:07:23 time: 1.3835 data_time: 0.0380 memory: 52497 grad_norm: 29.6647 loss: 0.9216 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9216 2023/02/15 09:28:22 - mmengine - INFO - Epoch(train) [41][200/940] lr: 2.8068e-06 eta: 5:05:10 time: 1.2394 data_time: 0.0331 memory: 52497 grad_norm: 30.6269 loss: 1.0499 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0499 2023/02/15 09:30:34 - mmengine - INFO - Epoch(train) [41][300/940] lr: 2.7827e-06 eta: 5:02:58 time: 1.3321 data_time: 0.0338 memory: 52497 grad_norm: 29.8693 loss: 0.9633 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9633 2023/02/15 09:32:43 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 09:32:43 - mmengine - INFO - Epoch(train) [41][400/940] lr: 2.7588e-06 eta: 5:00:46 time: 1.2602 data_time: 0.0322 memory: 52497 grad_norm: 29.3335 loss: 0.9046 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9046 2023/02/15 09:34:54 - mmengine - INFO - Epoch(train) [41][500/940] lr: 2.7350e-06 eta: 4:58:34 time: 1.2957 data_time: 0.0312 memory: 52497 grad_norm: 29.6681 loss: 0.9326 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9326 2023/02/15 09:37:04 - mmengine - INFO - Epoch(train) [41][600/940] lr: 2.7114e-06 eta: 4:56:21 time: 1.2777 data_time: 0.0355 memory: 52497 grad_norm: 29.4668 loss: 0.9006 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9006 2023/02/15 09:39:12 - mmengine - INFO - Epoch(train) [41][700/940] lr: 2.6878e-06 eta: 4:54:09 time: 1.3627 data_time: 0.0311 memory: 52497 grad_norm: 28.9708 loss: 1.0122 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0122 2023/02/15 09:41:23 - mmengine - INFO - Epoch(train) [41][800/940] lr: 2.6644e-06 eta: 4:51:57 time: 1.3849 data_time: 0.0391 memory: 52497 grad_norm: 29.2808 loss: 0.9906 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9906 2023/02/15 09:43:32 - mmengine - INFO - Epoch(train) [41][900/940] lr: 2.6411e-06 eta: 4:49:44 time: 1.3198 data_time: 0.0320 memory: 52497 grad_norm: 29.7321 loss: 0.8398 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8398 2023/02/15 09:44:19 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 09:44:19 - mmengine - INFO - Epoch(train) [41][940/940] lr: 2.6318e-06 eta: 4:48:49 time: 1.0854 data_time: 0.0256 memory: 52497 grad_norm: 31.9932 loss: 1.0131 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0131 2023/02/15 09:44:40 - mmengine - INFO - Epoch(val) [41][100/310] eta: 0:00:44 time: 0.1791 data_time: 0.0984 memory: 2891 2023/02/15 09:45:01 - mmengine - INFO - Epoch(val) [41][200/310] eta: 0:00:23 time: 0.1927 data_time: 0.1121 memory: 2891 2023/02/15 09:45:22 - mmengine - INFO - Epoch(val) [41][300/310] eta: 0:00:02 time: 0.2088 data_time: 0.1286 memory: 2891 2023/02/15 09:45:26 - mmengine - INFO - Epoch(val) [41][310/310] acc/top1: 0.8233 acc/top5: 0.9564 acc/mean1: 0.8232 2023/02/15 09:47:48 - mmengine - INFO - Epoch(train) [42][100/940] lr: 2.6087e-06 eta: 4:46:41 time: 1.3329 data_time: 0.0417 memory: 52497 grad_norm: 30.3296 loss: 0.8165 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8165 2023/02/15 09:49:54 - mmengine - INFO - Epoch(train) [42][200/940] lr: 2.5857e-06 eta: 4:44:27 time: 1.2156 data_time: 0.0895 memory: 52497 grad_norm: 29.9514 loss: 0.9182 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9182 2023/02/15 09:52:06 - mmengine - INFO - Epoch(train) [42][300/940] lr: 2.5629e-06 eta: 4:42:16 time: 1.2997 data_time: 0.1836 memory: 52497 grad_norm: 30.2197 loss: 0.9590 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9590 2023/02/15 09:54:15 - mmengine - INFO - Epoch(train) [42][400/940] lr: 2.5401e-06 eta: 4:40:03 time: 1.1791 data_time: 0.0632 memory: 52497 grad_norm: 29.4346 loss: 0.9035 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9035 2023/02/15 09:55:34 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 09:56:25 - mmengine - INFO - Epoch(train) [42][500/940] lr: 2.5176e-06 eta: 4:37:51 time: 1.3344 data_time: 0.0615 memory: 52497 grad_norm: 29.9982 loss: 1.0447 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0447 2023/02/15 09:58:33 - mmengine - INFO - Epoch(train) [42][600/940] lr: 2.4951e-06 eta: 4:35:38 time: 1.2758 data_time: 0.0382 memory: 52497 grad_norm: 28.9713 loss: 0.9022 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9022 2023/02/15 10:00:43 - mmengine - INFO - Epoch(train) [42][700/940] lr: 2.4728e-06 eta: 4:33:26 time: 1.2309 data_time: 0.1080 memory: 52497 grad_norm: 29.7554 loss: 1.0292 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0292 2023/02/15 10:02:50 - mmengine - INFO - Epoch(train) [42][800/940] lr: 2.4506e-06 eta: 4:31:13 time: 1.1680 data_time: 0.0673 memory: 52497 grad_norm: 31.9920 loss: 0.8913 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8913 2023/02/15 10:05:00 - mmengine - INFO - Epoch(train) [42][900/940] lr: 2.4285e-06 eta: 4:29:00 time: 1.3315 data_time: 0.2092 memory: 52497 grad_norm: 30.1282 loss: 1.0192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0192 2023/02/15 10:05:48 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 10:05:48 - mmengine - INFO - Epoch(train) [42][940/940] lr: 2.4198e-06 eta: 4:28:06 time: 1.1373 data_time: 0.0736 memory: 52497 grad_norm: 32.2704 loss: 1.0015 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0015 2023/02/15 10:05:48 - mmengine - INFO - Saving checkpoint at 42 epochs 2023/02/15 10:06:14 - mmengine - INFO - Epoch(val) [42][100/310] eta: 0:00:44 time: 0.1990 data_time: 0.1180 memory: 2891 2023/02/15 10:06:35 - mmengine - INFO - Epoch(val) [42][200/310] eta: 0:00:23 time: 0.1984 data_time: 0.1176 memory: 2891 2023/02/15 10:06:55 - mmengine - INFO - Epoch(val) [42][300/310] eta: 0:00:02 time: 0.1722 data_time: 0.0945 memory: 2891 2023/02/15 10:06:57 - mmengine - INFO - Epoch(val) [42][310/310] acc/top1: 0.8244 acc/top5: 0.9569 acc/mean1: 0.8244 2023/02/15 10:09:19 - mmengine - INFO - Epoch(train) [43][100/940] lr: 2.3979e-06 eta: 4:25:58 time: 1.3258 data_time: 0.0353 memory: 52497 grad_norm: 30.2851 loss: 0.9934 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9934 2023/02/15 10:11:30 - mmengine - INFO - Epoch(train) [43][200/940] lr: 2.3762e-06 eta: 4:23:46 time: 1.2365 data_time: 0.0313 memory: 52497 grad_norm: 31.4474 loss: 1.0671 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0671 2023/02/15 10:13:40 - mmengine - INFO - Epoch(train) [43][300/940] lr: 2.3546e-06 eta: 4:21:34 time: 1.3288 data_time: 0.0369 memory: 52497 grad_norm: 30.6653 loss: 0.9283 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9283 2023/02/15 10:15:48 - mmengine - INFO - Epoch(train) [43][400/940] lr: 2.3332e-06 eta: 4:19:21 time: 1.2830 data_time: 0.0325 memory: 52497 grad_norm: 29.5954 loss: 0.9795 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9795 2023/02/15 10:17:58 - mmengine - INFO - Epoch(train) [43][500/940] lr: 2.3119e-06 eta: 4:17:09 time: 1.2937 data_time: 0.0347 memory: 52497 grad_norm: 30.1959 loss: 1.0609 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0609 2023/02/15 10:18:23 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 10:20:04 - mmengine - INFO - Epoch(train) [43][600/940] lr: 2.2907e-06 eta: 4:14:56 time: 1.2306 data_time: 0.0296 memory: 52497 grad_norm: 30.1095 loss: 0.8284 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8284 2023/02/15 10:22:12 - mmengine - INFO - Epoch(train) [43][700/940] lr: 2.2697e-06 eta: 4:12:43 time: 1.1850 data_time: 0.0321 memory: 52497 grad_norm: 30.2934 loss: 0.9478 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9478 2023/02/15 10:24:23 - mmengine - INFO - Epoch(train) [43][800/940] lr: 2.2488e-06 eta: 4:10:31 time: 1.3111 data_time: 0.0340 memory: 52497 grad_norm: 30.9243 loss: 0.9294 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9294 2023/02/15 10:26:35 - mmengine - INFO - Epoch(train) [43][900/940] lr: 2.2281e-06 eta: 4:08:20 time: 1.3547 data_time: 0.0296 memory: 52497 grad_norm: 29.3554 loss: 0.8563 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8563 2023/02/15 10:27:21 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 10:27:21 - mmengine - INFO - Epoch(train) [43][940/940] lr: 2.2198e-06 eta: 4:07:25 time: 1.1151 data_time: 0.0222 memory: 52497 grad_norm: 31.6654 loss: 0.8639 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8639 2023/02/15 10:27:43 - mmengine - INFO - Epoch(val) [43][100/310] eta: 0:00:44 time: 0.2101 data_time: 0.1292 memory: 2891 2023/02/15 10:28:03 - mmengine - INFO - Epoch(val) [43][200/310] eta: 0:00:22 time: 0.1905 data_time: 0.1098 memory: 2891 2023/02/15 10:28:23 - mmengine - INFO - Epoch(val) [43][300/310] eta: 0:00:02 time: 0.2091 data_time: 0.1283 memory: 2891 2023/02/15 10:28:28 - mmengine - INFO - Epoch(val) [43][310/310] acc/top1: 0.8248 acc/top5: 0.9585 acc/mean1: 0.8247 2023/02/15 10:30:48 - mmengine - INFO - Epoch(train) [44][100/940] lr: 2.1993e-06 eta: 4:05:16 time: 1.3118 data_time: 0.0671 memory: 52497 grad_norm: 29.7154 loss: 0.8707 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8707 2023/02/15 10:32:57 - mmengine - INFO - Epoch(train) [44][200/940] lr: 2.1790e-06 eta: 4:03:03 time: 1.2078 data_time: 0.0875 memory: 52497 grad_norm: 29.9007 loss: 1.0302 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0302 2023/02/15 10:35:08 - mmengine - INFO - Epoch(train) [44][300/940] lr: 2.1587e-06 eta: 4:00:52 time: 1.3513 data_time: 0.2333 memory: 52497 grad_norm: 30.4882 loss: 0.8889 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8889 2023/02/15 10:37:17 - mmengine - INFO - Epoch(train) [44][400/940] lr: 2.1387e-06 eta: 3:58:39 time: 1.2583 data_time: 0.1438 memory: 52497 grad_norm: 30.6696 loss: 0.9414 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9414 2023/02/15 10:39:27 - mmengine - INFO - Epoch(train) [44][500/940] lr: 2.1187e-06 eta: 3:56:27 time: 1.3361 data_time: 0.2247 memory: 52497 grad_norm: 29.6445 loss: 0.8845 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8845 2023/02/15 10:41:10 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 10:41:35 - mmengine - INFO - Epoch(train) [44][600/940] lr: 2.0990e-06 eta: 3:54:15 time: 1.2650 data_time: 0.1478 memory: 52497 grad_norm: 30.4737 loss: 0.9678 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9678 2023/02/15 10:43:46 - mmengine - INFO - Epoch(train) [44][700/940] lr: 2.0793e-06 eta: 3:52:03 time: 1.3799 data_time: 0.2626 memory: 52497 grad_norm: 29.5612 loss: 0.8923 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8923 2023/02/15 10:45:52 - mmengine - INFO - Epoch(train) [44][800/940] lr: 2.0599e-06 eta: 3:49:50 time: 1.2638 data_time: 0.1509 memory: 52497 grad_norm: 31.3834 loss: 1.0115 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0115 2023/02/15 10:48:02 - mmengine - INFO - Epoch(train) [44][900/940] lr: 2.0406e-06 eta: 3:47:38 time: 1.3855 data_time: 0.0347 memory: 52497 grad_norm: 31.2962 loss: 0.9278 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9278 2023/02/15 10:48:52 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 10:48:52 - mmengine - INFO - Epoch(train) [44][940/940] lr: 2.0329e-06 eta: 3:46:45 time: 1.1915 data_time: 0.0211 memory: 52497 grad_norm: 31.1691 loss: 0.9521 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9521 2023/02/15 10:49:13 - mmengine - INFO - Epoch(val) [44][100/310] eta: 0:00:44 time: 0.2035 data_time: 0.1227 memory: 2891 2023/02/15 10:49:34 - mmengine - INFO - Epoch(val) [44][200/310] eta: 0:00:23 time: 0.2000 data_time: 0.1193 memory: 2891 2023/02/15 10:49:54 - mmengine - INFO - Epoch(val) [44][300/310] eta: 0:00:02 time: 0.2064 data_time: 0.1250 memory: 2891 2023/02/15 10:49:58 - mmengine - INFO - Epoch(val) [44][310/310] acc/top1: 0.8250 acc/top5: 0.9561 acc/mean1: 0.8250 2023/02/15 10:49:58 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_39.pth is removed 2023/02/15 10:50:00 - mmengine - INFO - The best checkpoint with 0.8250 acc/top1 at 44 epoch is saved to best_acc/top1_epoch_44.pth. 2023/02/15 10:52:20 - mmengine - INFO - Epoch(train) [45][100/940] lr: 2.0138e-06 eta: 3:44:35 time: 1.2352 data_time: 0.1134 memory: 52497 grad_norm: 30.6664 loss: 0.9608 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9608 2023/02/15 10:54:30 - mmengine - INFO - Epoch(train) [45][200/940] lr: 1.9948e-06 eta: 3:42:23 time: 1.2799 data_time: 0.1524 memory: 52497 grad_norm: 30.3410 loss: 0.8690 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8690 2023/02/15 10:56:40 - mmengine - INFO - Epoch(train) [45][300/940] lr: 1.9761e-06 eta: 3:40:11 time: 1.3708 data_time: 0.2619 memory: 52497 grad_norm: 29.6403 loss: 0.9657 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9657 2023/02/15 10:58:46 - mmengine - INFO - Epoch(train) [45][400/940] lr: 1.9574e-06 eta: 3:37:58 time: 1.2578 data_time: 0.1467 memory: 52497 grad_norm: 29.8789 loss: 0.9507 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9507 2023/02/15 11:00:57 - mmengine - INFO - Epoch(train) [45][500/940] lr: 1.9390e-06 eta: 3:35:46 time: 1.2931 data_time: 0.1693 memory: 52497 grad_norm: 30.5355 loss: 0.9079 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9079 2023/02/15 11:03:04 - mmengine - INFO - Epoch(train) [45][600/940] lr: 1.9207e-06 eta: 3:33:34 time: 1.2493 data_time: 0.1172 memory: 52497 grad_norm: 29.8361 loss: 0.9751 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9751 2023/02/15 11:03:56 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 11:05:15 - mmengine - INFO - Epoch(train) [45][700/940] lr: 1.9025e-06 eta: 3:31:22 time: 1.3671 data_time: 0.2582 memory: 52497 grad_norm: 30.2424 loss: 0.9924 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9924 2023/02/15 11:07:23 - mmengine - INFO - Epoch(train) [45][800/940] lr: 1.8845e-06 eta: 3:29:10 time: 1.1948 data_time: 0.0813 memory: 52497 grad_norm: 30.4235 loss: 1.0227 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0227 2023/02/15 11:09:33 - mmengine - INFO - Epoch(train) [45][900/940] lr: 1.8667e-06 eta: 3:26:58 time: 1.2574 data_time: 0.1463 memory: 52497 grad_norm: 29.4507 loss: 0.9561 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9561 2023/02/15 11:10:22 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 11:10:22 - mmengine - INFO - Epoch(train) [45][940/940] lr: 1.8596e-06 eta: 3:26:04 time: 1.1450 data_time: 0.0960 memory: 52497 grad_norm: 32.3635 loss: 0.9004 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9004 2023/02/15 11:10:22 - mmengine - INFO - Saving checkpoint at 45 epochs 2023/02/15 11:10:47 - mmengine - INFO - Epoch(val) [45][100/310] eta: 0:00:44 time: 0.2085 data_time: 0.1274 memory: 2891 2023/02/15 11:11:08 - mmengine - INFO - Epoch(val) [45][200/310] eta: 0:00:22 time: 0.1957 data_time: 0.1150 memory: 2891 2023/02/15 11:11:27 - mmengine - INFO - Epoch(val) [45][300/310] eta: 0:00:02 time: 0.1696 data_time: 0.0918 memory: 2891 2023/02/15 11:11:30 - mmengine - INFO - Epoch(val) [45][310/310] acc/top1: 0.8234 acc/top5: 0.9574 acc/mean1: 0.8234 2023/02/15 11:15:34 - mmengine - INFO - Epoch(train) [46][100/940] lr: 1.8420e-06 eta: 3:24:17 time: 6.4718 data_time: 0.1651 memory: 52497 grad_norm: 30.0189 loss: 0.9753 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9753 2023/02/15 11:17:41 - mmengine - INFO - Epoch(train) [46][200/940] lr: 1.8246e-06 eta: 3:22:04 time: 1.2541 data_time: 0.0712 memory: 52497 grad_norm: 29.9644 loss: 0.9769 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9769 2023/02/15 11:19:50 - mmengine - INFO - Epoch(train) [46][300/940] lr: 1.8073e-06 eta: 3:19:52 time: 1.3581 data_time: 0.0325 memory: 52497 grad_norm: 30.3992 loss: 0.9226 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9226 2023/02/15 11:21:58 - mmengine - INFO - Epoch(train) [46][400/940] lr: 1.7902e-06 eta: 3:17:40 time: 1.2609 data_time: 0.0326 memory: 52497 grad_norm: 29.7792 loss: 0.9280 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9280 2023/02/15 11:24:08 - mmengine - INFO - Epoch(train) [46][500/940] lr: 1.7732e-06 eta: 3:15:27 time: 1.2825 data_time: 0.0392 memory: 52497 grad_norm: 30.0541 loss: 0.7652 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7652 2023/02/15 11:26:20 - mmengine - INFO - Epoch(train) [46][600/940] lr: 1.7565e-06 eta: 3:13:16 time: 1.3127 data_time: 0.0326 memory: 52497 grad_norm: 29.5921 loss: 0.8936 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8936 2023/02/15 11:28:29 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 11:28:29 - mmengine - INFO - Epoch(train) [46][700/940] lr: 1.7399e-06 eta: 3:11:03 time: 1.2951 data_time: 0.0350 memory: 52497 grad_norm: 31.2733 loss: 0.9533 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9533 2023/02/15 11:30:38 - mmengine - INFO - Epoch(train) [46][800/940] lr: 1.7234e-06 eta: 3:08:51 time: 1.2426 data_time: 0.0320 memory: 52497 grad_norm: 29.9164 loss: 0.8846 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8846 2023/02/15 11:32:46 - mmengine - INFO - Epoch(train) [46][900/940] lr: 1.7071e-06 eta: 3:06:38 time: 1.3152 data_time: 0.0313 memory: 52497 grad_norm: 30.2482 loss: 0.8237 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8237 2023/02/15 11:33:33 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 11:33:33 - mmengine - INFO - Epoch(train) [46][940/940] lr: 1.7007e-06 eta: 3:05:45 time: 1.1587 data_time: 0.0210 memory: 52497 grad_norm: 31.5997 loss: 0.9555 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9555 2023/02/15 11:33:54 - mmengine - INFO - Epoch(val) [46][100/310] eta: 0:00:44 time: 0.1813 data_time: 0.1003 memory: 2891 2023/02/15 11:34:15 - mmengine - INFO - Epoch(val) [46][200/310] eta: 0:00:23 time: 0.1974 data_time: 0.1169 memory: 2891 2023/02/15 11:34:36 - mmengine - INFO - Epoch(val) [46][300/310] eta: 0:00:02 time: 0.1996 data_time: 0.1180 memory: 2891 2023/02/15 11:34:41 - mmengine - INFO - Epoch(val) [46][310/310] acc/top1: 0.8239 acc/top5: 0.9571 acc/mean1: 0.8237 2023/02/15 11:37:01 - mmengine - INFO - Epoch(train) [47][100/940] lr: 1.6847e-06 eta: 3:03:34 time: 1.3581 data_time: 0.0338 memory: 52497 grad_norm: 30.3499 loss: 0.8893 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8893 2023/02/15 11:39:10 - mmengine - INFO - Epoch(train) [47][200/940] lr: 1.6688e-06 eta: 3:01:22 time: 1.2656 data_time: 0.0374 memory: 52497 grad_norm: 30.8605 loss: 0.8940 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8940 2023/02/15 11:41:21 - mmengine - INFO - Epoch(train) [47][300/940] lr: 1.6531e-06 eta: 2:59:10 time: 1.3724 data_time: 0.2585 memory: 52497 grad_norm: 30.7880 loss: 1.0179 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0179 2023/02/15 11:43:27 - mmengine - INFO - Epoch(train) [47][400/940] lr: 1.6376e-06 eta: 2:56:58 time: 1.2077 data_time: 0.0990 memory: 52497 grad_norm: 30.6612 loss: 0.9080 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9080 2023/02/15 11:45:39 - mmengine - INFO - Epoch(train) [47][500/940] lr: 1.6222e-06 eta: 2:54:46 time: 1.3235 data_time: 0.0661 memory: 52497 grad_norm: 30.3910 loss: 1.0123 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0123 2023/02/15 11:47:45 - mmengine - INFO - Epoch(train) [47][600/940] lr: 1.6071e-06 eta: 2:52:33 time: 1.2638 data_time: 0.0768 memory: 52497 grad_norm: 29.4449 loss: 0.9614 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9614 2023/02/15 11:49:55 - mmengine - INFO - Epoch(train) [47][700/940] lr: 1.5921e-06 eta: 2:50:21 time: 1.2594 data_time: 0.1389 memory: 52497 grad_norm: 30.4702 loss: 0.9115 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9115 2023/02/15 11:51:11 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 11:52:03 - mmengine - INFO - Epoch(train) [47][800/940] lr: 1.5772e-06 eta: 2:48:09 time: 1.2113 data_time: 0.0299 memory: 52497 grad_norm: 31.0988 loss: 0.8568 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8568 2023/02/15 11:54:11 - mmengine - INFO - Epoch(train) [47][900/940] lr: 1.5626e-06 eta: 2:45:56 time: 1.2865 data_time: 0.0376 memory: 52497 grad_norm: 31.0698 loss: 0.9313 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9313 2023/02/15 11:54:59 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 11:54:59 - mmengine - INFO - Epoch(train) [47][940/940] lr: 1.5568e-06 eta: 2:45:03 time: 1.1290 data_time: 0.0287 memory: 52497 grad_norm: 32.2135 loss: 0.9785 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9785 2023/02/15 11:55:20 - mmengine - INFO - Epoch(val) [47][100/310] eta: 0:00:43 time: 0.1933 data_time: 0.1120 memory: 2891 2023/02/15 11:55:41 - mmengine - INFO - Epoch(val) [47][200/310] eta: 0:00:22 time: 0.1952 data_time: 0.1143 memory: 2891 2023/02/15 11:56:02 - mmengine - INFO - Epoch(val) [47][300/310] eta: 0:00:02 time: 0.2118 data_time: 0.1316 memory: 2891 2023/02/15 11:56:06 - mmengine - INFO - Epoch(val) [47][310/310] acc/top1: 0.8248 acc/top5: 0.9569 acc/mean1: 0.8247 2023/02/15 11:58:33 - mmengine - INFO - Epoch(train) [48][100/940] lr: 1.5424e-06 eta: 2:42:54 time: 1.6591 data_time: 0.0440 memory: 52497 grad_norm: 30.8230 loss: 0.8985 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8985 2023/02/15 12:00:41 - mmengine - INFO - Epoch(train) [48][200/940] lr: 1.5281e-06 eta: 2:40:41 time: 1.1955 data_time: 0.0841 memory: 52497 grad_norm: 29.9897 loss: 0.8407 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8407 2023/02/15 12:02:49 - mmengine - INFO - Epoch(train) [48][300/940] lr: 1.5141e-06 eta: 2:38:29 time: 1.2657 data_time: 0.0378 memory: 52497 grad_norm: 30.3580 loss: 0.8068 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8068 2023/02/15 12:04:56 - mmengine - INFO - Epoch(train) [48][400/940] lr: 1.5002e-06 eta: 2:36:17 time: 1.2349 data_time: 0.1225 memory: 52497 grad_norm: 29.2014 loss: 0.9170 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9170 2023/02/15 12:07:05 - mmengine - INFO - Epoch(train) [48][500/940] lr: 1.4865e-06 eta: 2:34:04 time: 1.2380 data_time: 0.1193 memory: 52497 grad_norm: 30.9510 loss: 0.9883 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9883 2023/02/15 12:09:14 - mmengine - INFO - Epoch(train) [48][600/940] lr: 1.4730e-06 eta: 2:31:52 time: 1.2396 data_time: 0.0303 memory: 52497 grad_norm: 29.8151 loss: 0.9956 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9956 2023/02/15 12:11:30 - mmengine - INFO - Epoch(train) [48][700/940] lr: 1.4597e-06 eta: 2:29:41 time: 1.2878 data_time: 0.0326 memory: 52497 grad_norm: 29.4776 loss: 0.8666 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8666 2023/02/15 12:13:36 - mmengine - INFO - Epoch(train) [48][800/940] lr: 1.4465e-06 eta: 2:27:29 time: 1.2709 data_time: 0.0350 memory: 52497 grad_norm: 30.2771 loss: 1.0018 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0018 2023/02/15 12:14:02 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 12:15:45 - mmengine - INFO - Epoch(train) [48][900/940] lr: 1.4335e-06 eta: 2:25:17 time: 1.3408 data_time: 0.0406 memory: 52497 grad_norm: 31.2061 loss: 0.8647 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.8647 2023/02/15 12:16:33 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 12:16:33 - mmengine - INFO - Epoch(train) [48][940/940] lr: 1.4284e-06 eta: 2:24:23 time: 1.1277 data_time: 0.0216 memory: 52497 grad_norm: 31.9536 loss: 0.8775 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8775 2023/02/15 12:16:33 - mmengine - INFO - Saving checkpoint at 48 epochs 2023/02/15 12:16:59 - mmengine - INFO - Epoch(val) [48][100/310] eta: 0:00:44 time: 0.2041 data_time: 0.1230 memory: 2891 2023/02/15 12:17:19 - mmengine - INFO - Epoch(val) [48][200/310] eta: 0:00:22 time: 0.1912 data_time: 0.1105 memory: 2891 2023/02/15 12:17:39 - mmengine - INFO - Epoch(val) [48][300/310] eta: 0:00:02 time: 0.1660 data_time: 0.0885 memory: 2891 2023/02/15 12:17:42 - mmengine - INFO - Epoch(val) [48][310/310] acc/top1: 0.8235 acc/top5: 0.9570 acc/mean1: 0.8235 2023/02/15 12:20:03 - mmengine - INFO - Epoch(train) [49][100/940] lr: 1.4157e-06 eta: 2:22:13 time: 1.4298 data_time: 0.0454 memory: 52497 grad_norm: 31.0322 loss: 0.9620 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9620 2023/02/15 12:22:11 - mmengine - INFO - Epoch(train) [49][200/940] lr: 1.4032e-06 eta: 2:20:01 time: 1.2208 data_time: 0.0403 memory: 52497 grad_norm: 29.1796 loss: 0.8848 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8848 2023/02/15 12:24:24 - mmengine - INFO - Epoch(train) [49][300/940] lr: 1.3908e-06 eta: 2:17:49 time: 1.2526 data_time: 0.0343 memory: 52497 grad_norm: 29.9779 loss: 1.0132 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0132 2023/02/15 12:26:33 - mmengine - INFO - Epoch(train) [49][400/940] lr: 1.3786e-06 eta: 2:15:37 time: 1.2210 data_time: 0.0366 memory: 52497 grad_norm: 30.2638 loss: 0.8726 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8726 2023/02/15 12:28:43 - mmengine - INFO - Epoch(train) [49][500/940] lr: 1.3666e-06 eta: 2:13:25 time: 1.3151 data_time: 0.0298 memory: 52497 grad_norm: 30.6021 loss: 0.8859 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8859 2023/02/15 12:30:47 - mmengine - INFO - Epoch(train) [49][600/940] lr: 1.3548e-06 eta: 2:11:13 time: 1.1737 data_time: 0.0341 memory: 52497 grad_norm: 29.7102 loss: 0.9702 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9702 2023/02/15 12:32:57 - mmengine - INFO - Epoch(train) [49][700/940] lr: 1.3432e-06 eta: 2:09:01 time: 1.3321 data_time: 0.0303 memory: 52497 grad_norm: 30.7080 loss: 0.8770 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8770 2023/02/15 12:35:07 - mmengine - INFO - Epoch(train) [49][800/940] lr: 1.3318e-06 eta: 2:06:49 time: 1.3501 data_time: 0.0359 memory: 52497 grad_norm: 30.3848 loss: 0.9372 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9372 2023/02/15 12:36:48 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 12:37:15 - mmengine - INFO - Epoch(train) [49][900/940] lr: 1.3206e-06 eta: 2:04:37 time: 1.3562 data_time: 0.0333 memory: 52497 grad_norm: 29.7303 loss: 0.9396 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.9396 2023/02/15 12:38:04 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 12:38:04 - mmengine - INFO - Epoch(train) [49][940/940] lr: 1.3161e-06 eta: 2:03:44 time: 1.1419 data_time: 0.0229 memory: 52497 grad_norm: 31.5231 loss: 0.8113 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8113 2023/02/15 12:38:25 - mmengine - INFO - Epoch(val) [49][100/310] eta: 0:00:43 time: 0.1806 data_time: 0.0998 memory: 2891 2023/02/15 12:38:45 - mmengine - INFO - Epoch(val) [49][200/310] eta: 0:00:22 time: 0.1977 data_time: 0.1166 memory: 2891 2023/02/15 12:39:06 - mmengine - INFO - Epoch(val) [49][300/310] eta: 0:00:02 time: 0.2073 data_time: 0.1264 memory: 2891 2023/02/15 12:39:10 - mmengine - INFO - Epoch(val) [49][310/310] acc/top1: 0.8254 acc/top5: 0.9563 acc/mean1: 0.8253 2023/02/15 12:39:10 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_44.pth is removed 2023/02/15 12:39:13 - mmengine - INFO - The best checkpoint with 0.8254 acc/top1 at 49 epoch is saved to best_acc/top1_epoch_49.pth. 2023/02/15 12:41:32 - mmengine - INFO - Epoch(train) [50][100/940] lr: 1.3051e-06 eta: 2:01:33 time: 1.3712 data_time: 0.2616 memory: 52497 grad_norm: 29.7568 loss: 0.8524 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8524 2023/02/15 12:43:45 - mmengine - INFO - Epoch(train) [50][200/940] lr: 1.2943e-06 eta: 1:59:21 time: 1.4111 data_time: 0.1143 memory: 52497 grad_norm: 30.3437 loss: 0.8628 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8628 2023/02/15 12:45:55 - mmengine - INFO - Epoch(train) [50][300/940] lr: 1.2837e-06 eta: 1:57:10 time: 1.3258 data_time: 0.2160 memory: 52497 grad_norm: 31.1735 loss: 1.0300 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0300 2023/02/15 12:48:07 - mmengine - INFO - Epoch(train) [50][400/940] lr: 1.2733e-06 eta: 1:54:58 time: 1.3846 data_time: 0.1285 memory: 52497 grad_norm: 30.5523 loss: 0.8358 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8358 2023/02/15 12:50:16 - mmengine - INFO - Epoch(train) [50][500/940] lr: 1.2631e-06 eta: 1:52:46 time: 1.2585 data_time: 0.1448 memory: 52497 grad_norm: 30.4002 loss: 0.9302 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.9302 2023/02/15 12:52:24 - mmengine - INFO - Epoch(train) [50][600/940] lr: 1.2531e-06 eta: 1:50:34 time: 1.3081 data_time: 0.1934 memory: 52497 grad_norm: 30.7433 loss: 0.8942 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8942 2023/02/15 12:54:34 - mmengine - INFO - Epoch(train) [50][700/940] lr: 1.2432e-06 eta: 1:48:22 time: 1.3884 data_time: 0.2693 memory: 52497 grad_norm: 29.6327 loss: 0.8499 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.8499 2023/02/15 12:56:43 - mmengine - INFO - Epoch(train) [50][800/940] lr: 1.2335e-06 eta: 1:46:10 time: 1.2516 data_time: 0.1250 memory: 52497 grad_norm: 30.0361 loss: 0.8701 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8701 2023/02/15 12:58:52 - mmengine - INFO - Epoch(train) [50][900/940] lr: 1.2241e-06 eta: 1:43:58 time: 1.3616 data_time: 0.2403 memory: 52497 grad_norm: 31.2904 loss: 0.7965 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7965 2023/02/15 12:59:39 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 12:59:39 - mmengine - INFO - Epoch(train) [50][940/940] lr: 1.2203e-06 eta: 1:43:05 time: 1.1451 data_time: 0.0867 memory: 52497 grad_norm: 32.0695 loss: 0.8481 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8481 2023/02/15 13:00:01 - mmengine - INFO - Epoch(val) [50][100/310] eta: 0:00:45 time: 0.2012 data_time: 0.1209 memory: 2891 2023/02/15 13:00:21 - mmengine - INFO - Epoch(val) [50][200/310] eta: 0:00:23 time: 0.1730 data_time: 0.0919 memory: 2891 2023/02/15 13:00:43 - mmengine - INFO - Epoch(val) [50][300/310] eta: 0:00:02 time: 0.1949 data_time: 0.1147 memory: 2891 2023/02/15 13:00:47 - mmengine - INFO - Epoch(val) [50][310/310] acc/top1: 0.8260 acc/top5: 0.9569 acc/mean1: 0.8260 2023/02/15 13:00:47 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_49.pth is removed 2023/02/15 13:00:49 - mmengine - INFO - The best checkpoint with 0.8260 acc/top1 at 50 epoch is saved to best_acc/top1_epoch_50.pth. 2023/02/15 13:03:07 - mmengine - INFO - Epoch(train) [51][100/940] lr: 1.2111e-06 eta: 1:40:54 time: 1.2663 data_time: 0.0369 memory: 52497 grad_norm: 29.8526 loss: 0.9452 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9452 2023/02/15 13:05:15 - mmengine - INFO - Epoch(train) [51][200/940] lr: 1.2021e-06 eta: 1:38:42 time: 1.2686 data_time: 0.0335 memory: 52497 grad_norm: 30.7954 loss: 0.8192 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8192 2023/02/15 13:07:26 - mmengine - INFO - Epoch(train) [51][300/940] lr: 1.1933e-06 eta: 1:36:31 time: 1.4227 data_time: 0.0363 memory: 52497 grad_norm: 30.5024 loss: 0.8563 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8563 2023/02/15 13:09:32 - mmengine - INFO - Epoch(train) [51][400/940] lr: 1.1847e-06 eta: 1:34:18 time: 1.2144 data_time: 0.0320 memory: 52497 grad_norm: 30.4642 loss: 0.8637 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8637 2023/02/15 13:11:44 - mmengine - INFO - Epoch(train) [51][500/940] lr: 1.1763e-06 eta: 1:32:07 time: 1.3752 data_time: 0.0313 memory: 52497 grad_norm: 30.3407 loss: 0.8328 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8328 2023/02/15 13:13:55 - mmengine - INFO - Epoch(train) [51][600/940] lr: 1.1680e-06 eta: 1:29:55 time: 1.3183 data_time: 0.0355 memory: 52497 grad_norm: 30.8216 loss: 0.8610 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8610 2023/02/15 13:16:02 - mmengine - INFO - Epoch(train) [51][700/940] lr: 1.1600e-06 eta: 1:27:43 time: 1.2171 data_time: 0.0339 memory: 52497 grad_norm: 30.7499 loss: 0.8788 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8788 2023/02/15 13:18:13 - mmengine - INFO - Epoch(train) [51][800/940] lr: 1.1521e-06 eta: 1:25:32 time: 1.3404 data_time: 0.0783 memory: 52497 grad_norm: 31.0650 loss: 0.8788 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 0.8788 2023/02/15 13:20:19 - mmengine - INFO - Epoch(train) [51][900/940] lr: 1.1445e-06 eta: 1:23:20 time: 1.1775 data_time: 0.0598 memory: 52497 grad_norm: 30.9993 loss: 0.8687 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8687 2023/02/15 13:21:08 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 13:21:08 - mmengine - INFO - Epoch(train) [51][940/940] lr: 1.1415e-06 eta: 1:22:27 time: 1.1297 data_time: 0.0560 memory: 52497 grad_norm: 32.2382 loss: 0.8212 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8212 2023/02/15 13:21:08 - mmengine - INFO - Saving checkpoint at 51 epochs 2023/02/15 13:21:34 - mmengine - INFO - Epoch(val) [51][100/310] eta: 0:00:44 time: 0.2009 data_time: 0.1204 memory: 2891 2023/02/15 13:21:54 - mmengine - INFO - Epoch(val) [51][200/310] eta: 0:00:22 time: 0.1808 data_time: 0.0996 memory: 2891 2023/02/15 13:22:14 - mmengine - INFO - Epoch(val) [51][300/310] eta: 0:00:02 time: 0.1655 data_time: 0.0880 memory: 2891 2023/02/15 13:22:17 - mmengine - INFO - Epoch(val) [51][310/310] acc/top1: 0.8261 acc/top5: 0.9566 acc/mean1: 0.8261 2023/02/15 13:22:17 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_50.pth is removed 2023/02/15 13:22:19 - mmengine - INFO - The best checkpoint with 0.8261 acc/top1 at 51 epoch is saved to best_acc/top1_epoch_51.pth. 2023/02/15 13:23:48 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 13:24:40 - mmengine - INFO - Epoch(train) [52][100/940] lr: 1.1341e-06 eta: 1:20:16 time: 1.3898 data_time: 0.0745 memory: 52497 grad_norm: 30.6113 loss: 0.8423 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8423 2023/02/15 13:26:52 - mmengine - INFO - Epoch(train) [52][200/940] lr: 1.1269e-06 eta: 1:18:04 time: 1.2902 data_time: 0.0312 memory: 52497 grad_norm: 30.1209 loss: 0.8800 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8800 2023/02/15 13:29:00 - mmengine - INFO - Epoch(train) [52][300/940] lr: 1.1199e-06 eta: 1:15:52 time: 1.2671 data_time: 0.0342 memory: 52497 grad_norm: 30.8668 loss: 0.9494 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9494 2023/02/15 13:31:09 - mmengine - INFO - Epoch(train) [52][400/940] lr: 1.1131e-06 eta: 1:13:41 time: 1.3412 data_time: 0.0336 memory: 52497 grad_norm: 30.3773 loss: 0.8458 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8458 2023/02/15 13:33:19 - mmengine - INFO - Epoch(train) [52][500/940] lr: 1.1065e-06 eta: 1:11:29 time: 1.3565 data_time: 0.0345 memory: 52497 grad_norm: 30.9064 loss: 0.9468 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9468 2023/02/15 13:35:25 - mmengine - INFO - Epoch(train) [52][600/940] lr: 1.1001e-06 eta: 1:09:17 time: 1.2420 data_time: 0.0348 memory: 52497 grad_norm: 31.0480 loss: 0.8949 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8949 2023/02/15 13:37:37 - mmengine - INFO - Epoch(train) [52][700/940] lr: 1.0939e-06 eta: 1:07:05 time: 1.3089 data_time: 0.0338 memory: 52497 grad_norm: 29.7715 loss: 0.8612 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8612 2023/02/15 13:39:44 - mmengine - INFO - Epoch(train) [52][800/940] lr: 1.0879e-06 eta: 1:04:54 time: 1.2708 data_time: 0.0390 memory: 52497 grad_norm: 30.4047 loss: 0.7864 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7864 2023/02/15 13:41:55 - mmengine - INFO - Epoch(train) [52][900/940] lr: 1.0820e-06 eta: 1:02:42 time: 1.3546 data_time: 0.0303 memory: 52497 grad_norm: 31.0075 loss: 0.9003 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9003 2023/02/15 13:42:43 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 13:42:43 - mmengine - INFO - Epoch(train) [52][940/940] lr: 1.0798e-06 eta: 1:01:49 time: 1.1491 data_time: 0.0232 memory: 52497 grad_norm: 30.7644 loss: 0.9629 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.9629 2023/02/15 13:43:04 - mmengine - INFO - Epoch(val) [52][100/310] eta: 0:00:44 time: 0.1923 data_time: 0.1108 memory: 2891 2023/02/15 13:43:25 - mmengine - INFO - Epoch(val) [52][200/310] eta: 0:00:22 time: 0.1978 data_time: 0.1174 memory: 2891 2023/02/15 13:43:46 - mmengine - INFO - Epoch(val) [52][300/310] eta: 0:00:02 time: 0.2007 data_time: 0.1188 memory: 2891 2023/02/15 13:43:50 - mmengine - INFO - Epoch(val) [52][310/310] acc/top1: 0.8274 acc/top5: 0.9562 acc/mean1: 0.8274 2023/02/15 13:43:50 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_51.pth is removed 2023/02/15 13:43:53 - mmengine - INFO - The best checkpoint with 0.8274 acc/top1 at 52 epoch is saved to best_acc/top1_epoch_52.pth. 2023/02/15 13:46:13 - mmengine - INFO - Epoch(train) [53][100/940] lr: 1.0742e-06 eta: 0:59:38 time: 1.3605 data_time: 0.2285 memory: 52497 grad_norm: 31.0287 loss: 0.8803 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8803 2023/02/15 13:46:38 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 13:49:01 - mmengine - INFO - Epoch(train) [53][200/940] lr: 1.0689e-06 eta: 0:57:28 time: 2.5853 data_time: 0.0462 memory: 52497 grad_norm: 29.7543 loss: 0.7525 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7525 2023/02/15 13:51:10 - mmengine - INFO - Epoch(train) [53][300/940] lr: 1.0637e-06 eta: 0:55:17 time: 1.3170 data_time: 0.0355 memory: 52497 grad_norm: 31.6306 loss: 0.8829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8829 2023/02/15 13:53:22 - mmengine - INFO - Epoch(train) [53][400/940] lr: 1.0588e-06 eta: 0:53:05 time: 1.3780 data_time: 0.0365 memory: 52497 grad_norm: 29.6681 loss: 0.8440 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8440 2023/02/15 13:55:27 - mmengine - INFO - Epoch(train) [53][500/940] lr: 1.0540e-06 eta: 0:50:53 time: 1.2541 data_time: 0.0412 memory: 52497 grad_norm: 30.8044 loss: 0.9153 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9153 2023/02/15 13:57:35 - mmengine - INFO - Epoch(train) [53][600/940] lr: 1.0495e-06 eta: 0:48:41 time: 1.3238 data_time: 0.1240 memory: 52497 grad_norm: 31.0820 loss: 0.9956 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9956 2023/02/15 13:59:44 - mmengine - INFO - Epoch(train) [53][700/940] lr: 1.0451e-06 eta: 0:46:30 time: 1.2540 data_time: 0.0334 memory: 52497 grad_norm: 30.5500 loss: 0.9332 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9332 2023/02/15 14:01:56 - mmengine - INFO - Epoch(train) [53][800/940] lr: 1.0410e-06 eta: 0:44:18 time: 1.3503 data_time: 0.2154 memory: 52497 grad_norm: 30.3560 loss: 0.7902 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7902 2023/02/15 14:04:03 - mmengine - INFO - Epoch(train) [53][900/940] lr: 1.0370e-06 eta: 0:42:06 time: 1.2603 data_time: 0.1184 memory: 52497 grad_norm: 30.1363 loss: 0.8818 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8818 2023/02/15 14:04:53 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 14:04:53 - mmengine - INFO - Epoch(train) [53][940/940] lr: 1.0355e-06 eta: 0:41:13 time: 1.1837 data_time: 0.0881 memory: 52497 grad_norm: 33.5944 loss: 0.8529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8529 2023/02/15 14:05:14 - mmengine - INFO - Epoch(val) [53][100/310] eta: 0:00:44 time: 0.1931 data_time: 0.1123 memory: 2891 2023/02/15 14:05:35 - mmengine - INFO - Epoch(val) [53][200/310] eta: 0:00:23 time: 0.2051 data_time: 0.1243 memory: 2891 2023/02/15 14:05:55 - mmengine - INFO - Epoch(val) [53][300/310] eta: 0:00:02 time: 0.2075 data_time: 0.1267 memory: 2891 2023/02/15 14:06:00 - mmengine - INFO - Epoch(val) [53][310/310] acc/top1: 0.8285 acc/top5: 0.9571 acc/mean1: 0.8284 2023/02/15 14:06:00 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/uniformer_train/niformerv2-base-p16-res224_clip_u8_kinetics400-rgb/best_acc/top1_epoch_52.pth is removed 2023/02/15 14:06:02 - mmengine - INFO - The best checkpoint with 0.8285 acc/top1 at 53 epoch is saved to best_acc/top1_epoch_53.pth. 2023/02/15 14:08:25 - mmengine - INFO - Epoch(train) [54][100/940] lr: 1.0318e-06 eta: 0:39:02 time: 1.2892 data_time: 0.1777 memory: 52497 grad_norm: 30.4397 loss: 0.9083 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9083 2023/02/15 14:10:10 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 14:10:34 - mmengine - INFO - Epoch(train) [54][200/940] lr: 1.0284e-06 eta: 0:36:51 time: 1.2075 data_time: 0.0961 memory: 52497 grad_norm: 30.3642 loss: 0.8240 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.8240 2023/02/15 14:15:05 - mmengine - INFO - Epoch(train) [54][300/940] lr: 1.0251e-06 eta: 0:34:43 time: 8.3029 data_time: 0.1237 memory: 52497 grad_norm: 31.1019 loss: 0.9271 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9271 2023/02/15 14:17:14 - mmengine - INFO - Epoch(train) [54][400/940] lr: 1.0220e-06 eta: 0:32:31 time: 1.2063 data_time: 0.0634 memory: 52497 grad_norm: 31.2494 loss: 0.9852 top1_acc: 0.8438 top5_acc: 0.8438 loss_cls: 0.9852 2023/02/15 14:19:26 - mmengine - INFO - Epoch(train) [54][500/940] lr: 1.0192e-06 eta: 0:30:19 time: 1.4306 data_time: 0.0325 memory: 52497 grad_norm: 30.0922 loss: 0.8013 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8013 2023/02/15 14:21:37 - mmengine - INFO - Epoch(train) [54][600/940] lr: 1.0165e-06 eta: 0:28:08 time: 1.1825 data_time: 0.0435 memory: 52497 grad_norm: 30.5727 loss: 0.9921 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9921 2023/02/15 14:23:47 - mmengine - INFO - Epoch(train) [54][700/940] lr: 1.0140e-06 eta: 0:25:56 time: 1.3282 data_time: 0.0383 memory: 52497 grad_norm: 30.8294 loss: 0.9306 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9306 2023/02/15 14:25:59 - mmengine - INFO - Epoch(train) [54][800/940] lr: 1.0117e-06 eta: 0:23:44 time: 1.2219 data_time: 0.0306 memory: 52497 grad_norm: 30.0244 loss: 0.9207 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9207 2023/02/15 14:28:08 - mmengine - INFO - Epoch(train) [54][900/940] lr: 1.0097e-06 eta: 0:21:32 time: 1.3952 data_time: 0.0355 memory: 52497 grad_norm: 31.3915 loss: 0.9375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9375 2023/02/15 14:28:57 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 14:28:57 - mmengine - INFO - Epoch(train) [54][940/940] lr: 1.0089e-06 eta: 0:20:39 time: 1.1615 data_time: 0.0214 memory: 52497 grad_norm: 32.0606 loss: 0.8010 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8010 2023/02/15 14:28:57 - mmengine - INFO - Saving checkpoint at 54 epochs 2023/02/15 14:29:22 - mmengine - INFO - Epoch(val) [54][100/310] eta: 0:00:44 time: 0.2006 data_time: 0.1204 memory: 2891 2023/02/15 14:29:43 - mmengine - INFO - Epoch(val) [54][200/310] eta: 0:00:22 time: 0.2115 data_time: 0.1308 memory: 2891 2023/02/15 14:30:03 - mmengine - INFO - Epoch(val) [54][300/310] eta: 0:00:02 time: 0.1660 data_time: 0.0886 memory: 2891 2023/02/15 14:30:06 - mmengine - INFO - Epoch(val) [54][310/310] acc/top1: 0.8277 acc/top5: 0.9560 acc/mean1: 0.8276 2023/02/15 14:32:27 - mmengine - INFO - Epoch(train) [55][100/940] lr: 1.0071e-06 eta: 0:18:27 time: 1.4926 data_time: 0.0536 memory: 52497 grad_norm: 30.9261 loss: 0.9241 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9241 2023/02/15 14:34:35 - mmengine - INFO - Epoch(train) [55][200/940] lr: 1.0055e-06 eta: 0:16:15 time: 1.3068 data_time: 0.0322 memory: 52497 grad_norm: 29.9439 loss: 0.8567 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8567 2023/02/15 14:35:29 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 14:36:47 - mmengine - INFO - Epoch(train) [55][300/940] lr: 1.0041e-06 eta: 0:14:03 time: 1.3832 data_time: 0.0324 memory: 52497 grad_norm: 30.3028 loss: 0.9453 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9453 2023/02/15 14:38:57 - mmengine - INFO - Epoch(train) [55][400/940] lr: 1.0029e-06 eta: 0:11:52 time: 1.2012 data_time: 0.0343 memory: 52497 grad_norm: 30.4536 loss: 0.9155 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9155 2023/02/15 14:41:06 - mmengine - INFO - Epoch(train) [55][500/940] lr: 1.0020e-06 eta: 0:09:40 time: 1.2212 data_time: 0.0334 memory: 52497 grad_norm: 29.8644 loss: 1.0007 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0007 2023/02/15 14:43:17 - mmengine - INFO - Epoch(train) [55][600/940] lr: 1.0012e-06 eta: 0:07:28 time: 1.2933 data_time: 0.0417 memory: 52497 grad_norm: 29.9982 loss: 0.8994 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8994 2023/02/15 14:45:25 - mmengine - INFO - Epoch(train) [55][700/940] lr: 1.0006e-06 eta: 0:05:16 time: 1.2702 data_time: 0.0329 memory: 52497 grad_norm: 29.4638 loss: 0.9166 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9166 2023/02/15 14:47:35 - mmengine - INFO - Epoch(train) [55][800/940] lr: 1.0002e-06 eta: 0:03:04 time: 1.3241 data_time: 0.0852 memory: 52497 grad_norm: 30.5788 loss: 0.9288 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9288 2023/02/15 14:51:24 - mmengine - INFO - Epoch(train) [55][900/940] lr: 1.0000e-06 eta: 0:00:52 time: 1.3262 data_time: 0.0306 memory: 52497 grad_norm: 30.8937 loss: 0.9313 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9313 2023/02/15 14:52:14 - mmengine - INFO - Exp name: uniformerv2-base-p16-res224_clip_u8_kinetics400-rgb_20230214_184906 2023/02/15 14:52:14 - mmengine - INFO - Epoch(train) [55][940/940] lr: 1.0000e-06 eta: 0:00:00 time: 1.2091 data_time: 0.0205 memory: 52497 grad_norm: 33.3931 loss: 0.7999 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7999 2023/02/15 14:52:14 - mmengine - INFO - Saving checkpoint at 55 epochs 2023/02/15 14:52:40 - mmengine - INFO - Epoch(val) [55][100/310] eta: 0:00:44 time: 0.2004 data_time: 0.1196 memory: 2891 2023/02/15 14:53:00 - mmengine - INFO - Epoch(val) [55][200/310] eta: 0:00:22 time: 0.1928 data_time: 0.1121 memory: 2891 2023/02/15 14:53:21 - mmengine - INFO - Epoch(val) [55][300/310] eta: 0:00:02 time: 0.1690 data_time: 0.0914 memory: 2891 2023/02/15 14:53:24 - mmengine - INFO - Epoch(val) [55][310/310] acc/top1: 0.8269 acc/top5: 0.9569 acc/mean1: 0.8268