2022/10/29 23:00:04 - 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: 302102510 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: 0.2.0 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: pytorch Distributed training: True GPU number: 16 ------------------------------------------------------------ 2022/10/29 23:00:05 - mmengine - INFO - Config: model = dict( type='Recognizer3D', backbone=dict(type='MViT', arch='small', drop_path_rate=0.2), data_preprocessor=dict( type='ActionDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], blending=None, format_shape='NCTHW'), cls_head=dict( type='MVitHead', in_channels=768, num_classes=174, label_smooth_eps=0.1, average_clips='prob')) default_scope = 'mmaction' default_hooks = dict( runtime_info=dict(type='RuntimeInfoHook'), timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=20, ignore_last=False), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=3, save_best='auto', max_keep_ckpts=5), sampler_seed=dict(type='DistSamplerSeedHook')) env_cfg = dict( cudnn_benchmark=False, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) log_processor = dict(type='LogProcessor', window_size=20, by_epoch=True) vis_backends = [ dict(type='LocalVisBackend'), dict(type='TensorboardVisBackend') ] visualizer = dict( type='ActionVisualizer', vis_backends=[ dict(type='LocalVisBackend'), dict(type='TensorboardVisBackend') ]) log_level = 'INFO' load_from = 'work_dirs/pretrain_ckpt/mvit/MViTv2_S_16x4_k400_f302660347-converted.pth' resume = False dataset_type = 'VideoDataset' data_root = 'data/sthv2/videos' data_root_val = 'data/sthv2/videos' ann_file_train = 'data/sthv2/sthv2_train_list_videos.txt' ann_file_val = 'data/sthv2/sthv2_val_list_videos.txt' ann_file_test = 'data/sthv2/sthv2_val_list_videos.txt' file_client_args = dict( io_backend='petrel', path_mapping=dict( {'data/sthv2': 's254:s3://openmmlab/datasets/action/sthv2'})) train_pipeline = [ dict( type='DecordInit', io_backend='petrel', path_mapping=dict( {'data/sthv2': 's254:s3://openmmlab/datasets/action/sthv2'})), dict( type='UniformSampleFrames', clip_len=16, out_of_bound_opt='repeat_frame'), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='RandomResizedCrop'), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict( type='PytorchVideoWrapper', op='RandAugment', magnitude=7, num_layers=4), dict(type='RandomErasing', erase_prob=0.25, mode='rand'), dict(type='FormatShape', input_format='NCTHW'), dict(type='PackActionInputs') ] val_pipeline = [ dict( type='DecordInit', io_backend='petrel', path_mapping=dict( {'data/sthv2': 's254:s3://openmmlab/datasets/action/sthv2'})), dict( type='UniformSampleFrames', clip_len=16, out_of_bound_opt='repeat_frame', test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=224), dict(type='FormatShape', input_format='NCTHW'), dict(type='PackActionInputs') ] test_pipeline = [ dict( type='DecordInit', io_backend='petrel', path_mapping=dict( {'data/sthv2': 's254:s3://openmmlab/datasets/action/sthv2'})), dict( type='UniformSampleFrames', clip_len=16, out_of_bound_opt='repeat_frame', 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=16, num_workers=16, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='VideoDataset', ann_file='data/sthv2/sthv2_train_list_videos.txt', data_prefix=dict(video='data/sthv2/videos'), pipeline=[ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/sthv2': 's254:s3://openmmlab/datasets/action/sthv2' })), dict( type='UniformSampleFrames', clip_len=16, out_of_bound_opt='repeat_frame'), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='RandomResizedCrop'), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict( type='PytorchVideoWrapper', op='RandAugment', magnitude=7, num_layers=4), dict(type='RandomErasing', erase_prob=0.25, mode='rand'), 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/sthv2/sthv2_val_list_videos.txt', data_prefix=dict(video='data/sthv2/videos'), pipeline=[ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/sthv2': 's254:s3://openmmlab/datasets/action/sthv2' })), dict( type='UniformSampleFrames', clip_len=16, out_of_bound_opt='repeat_frame', test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=224), dict(type='FormatShape', input_format='NCTHW'), dict(type='PackActionInputs') ], test_mode=True)) test_dataloader = dict( batch_size=1, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='VideoDataset', ann_file='data/sthv2/sthv2_val_list_videos.txt', data_prefix=dict(video='data/sthv2/videos'), pipeline=[ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/sthv2': 's254:s3://openmmlab/datasets/action/sthv2' })), dict( type='UniformSampleFrames', clip_len=16, out_of_bound_opt='repeat_frame', 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=100, val_begin=1, val_interval=1) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') base_lr = 0.02 optim_wrapper = dict( type='AmpOptimWrapper', optimizer=dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001), paramwise_cfg=dict(norm_decay_mult=0.0, bias_decay_mult=0.0)) param_scheduler = [ dict( type='LinearLR', start_factor=0.1, by_epoch=True, begin=0, end=3, convert_to_iter_based=True), dict( type='CosineAnnealingLR', T_max=100, eta_min=0.0002, by_epoch=True, begin=3, end=100, convert_to_iter_based=True) ] auto_scale_lr = dict(enable=True, base_batch_size=512) launcher = 'pytorch' work_dir = 'work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup' 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.patch_embed.projection.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.patch_embed.projection.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.norm1.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.norm1.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.attn.qkv.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.attn.qkv.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.attn.proj.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.attn.proj.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.attn.norm_q.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.attn.norm_q.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.attn.norm_k.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.attn.norm_k.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.attn.norm_v.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.attn.norm_v.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.norm2.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.norm2.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.mlp.fc1.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.mlp.fc1.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.mlp.fc2.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.0.mlp.fc2.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.norm1.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.norm1.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.attn.qkv.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.attn.qkv.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.attn.proj.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.attn.proj.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.attn.norm_q.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.attn.norm_q.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.attn.norm_k.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.attn.norm_k.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.attn.norm_v.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.attn.norm_v.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.1.norm2.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - 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backbone.blocks.2.attn.qkv.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.attn.qkv.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.attn.proj.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.attn.proj.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.attn.norm_q.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.attn.norm_q.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.attn.norm_k.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.attn.norm_k.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.attn.norm_v.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.attn.norm_v.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.norm2.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.norm2.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.mlp.fc1.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.mlp.fc1.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.mlp.fc2.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.2.mlp.fc2.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.norm1.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.norm1.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.attn.qkv.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.attn.qkv.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.attn.proj.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.attn.proj.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.attn.norm_q.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.attn.norm_q.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.attn.norm_k.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.attn.norm_k.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.attn.norm_v.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.attn.norm_v.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.norm2.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.norm2.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.mlp.fc1.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.mlp.fc1.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.mlp.fc2.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.mlp.fc2.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.proj.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.3.proj.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.4.norm1.weight:weight_decay=0.0 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backbone.blocks.14.norm1.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.14.attn.qkv.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.14.attn.qkv.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.14.attn.proj.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.14.attn.proj.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.14.attn.norm_q.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.14.attn.norm_q.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.14.attn.norm_k.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.14.attn.norm_k.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- 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backbone.blocks.14.proj.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.norm1.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.norm1.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.attn.qkv.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.attn.qkv.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.attn.proj.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.attn.proj.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.attn.norm_q.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.attn.norm_q.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.attn.norm_k.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.attn.norm_k.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.attn.norm_v.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.attn.norm_v.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.norm2.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.norm2.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.mlp.fc1.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.mlp.fc1.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.mlp.fc2.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.blocks.15.mlp.fc2.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.norm3.weight:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- backbone.norm3.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- cls_head.fc_cls.bias:lr=0.02 2022/10/29 23:00:06 - mmengine - INFO - paramwise_options -- cls_head.fc_cls.bias:weight_decay=0.0 2022/10/29 23:00:06 - mmengine - INFO - LR is set based on batch size of 512 and the current batch size is 256. Scaling the original LR by 0.5. 2022/10/29 23:00:08 - mmengine - INFO - Load checkpoint from work_dirs/pretrain_ckpt/mvit/MViTv2_S_16x4_k400_f302660347-converted.pth 2022/10/29 23:00:08 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup. 2022/10/29 23:01:23 - mmengine - INFO - Epoch(train) [1][20/660] lr: 1.0864e-03 eta: 2 days, 20:33:02 time: 3.7403 data_time: 2.6477 memory: 22681 loss: 5.1825 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.1825 2022/10/29 23:01:44 - mmengine - INFO - Epoch(train) [1][40/660] lr: 1.1774e-03 eta: 1 day, 19:52:28 time: 1.0490 data_time: 0.0473 memory: 22681 loss: 5.1650 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.1650 2022/10/29 23:02:05 - mmengine - INFO - Epoch(train) [1][60/660] lr: 1.2683e-03 eta: 1 day, 11:27:45 time: 1.0190 data_time: 0.0168 memory: 22681 loss: 5.1732 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1732 2022/10/29 23:02:25 - mmengine - INFO - Epoch(train) [1][80/660] lr: 1.3593e-03 eta: 1 day, 7:15:04 time: 1.0185 data_time: 0.0173 memory: 22681 loss: 5.1791 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.1791 2022/10/29 23:02:46 - mmengine - INFO - Epoch(train) [1][100/660] lr: 1.4502e-03 eta: 1 day, 4:46:44 time: 1.0340 data_time: 0.0213 memory: 22681 loss: 5.1528 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.1528 2022/10/29 23:03:06 - mmengine - INFO - Epoch(train) [1][120/660] lr: 1.5412e-03 eta: 1 day, 3:06:34 time: 1.0276 data_time: 0.0172 memory: 22681 loss: 5.1385 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1385 2022/10/29 23:03:27 - mmengine - INFO - Epoch(train) [1][140/660] lr: 1.6321e-03 eta: 1 day, 1:54:32 time: 1.0252 data_time: 0.0213 memory: 22681 loss: 5.1318 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1318 2022/10/29 23:03:47 - mmengine - INFO - Epoch(train) [1][160/660] lr: 1.7231e-03 eta: 1 day, 1:00:25 time: 1.0251 data_time: 0.0169 memory: 22681 loss: 5.1314 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.1314 2022/10/29 23:04:08 - mmengine - INFO - Epoch(train) [1][180/660] lr: 1.8140e-03 eta: 1 day, 0:19:26 time: 1.0348 data_time: 0.0219 memory: 22681 loss: 5.1297 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1297 2022/10/29 23:04:28 - mmengine - INFO - Epoch(train) [1][200/660] lr: 1.9050e-03 eta: 23:45:44 time: 1.0272 data_time: 0.0185 memory: 22681 loss: 5.1002 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1002 2022/10/29 23:04:49 - mmengine - INFO - Epoch(train) [1][220/660] lr: 1.9960e-03 eta: 23:17:31 time: 1.0213 data_time: 0.0171 memory: 22681 loss: 5.1129 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.1129 2022/10/29 23:05:09 - mmengine - INFO - Epoch(train) [1][240/660] lr: 2.0869e-03 eta: 22:54:12 time: 1.0240 data_time: 0.0173 memory: 22681 loss: 5.0829 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.0829 2022/10/29 23:05:30 - mmengine - INFO - Epoch(train) [1][260/660] lr: 2.1779e-03 eta: 22:35:11 time: 1.0332 data_time: 0.0219 memory: 22681 loss: 5.0550 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.0550 2022/10/29 23:05:51 - mmengine - INFO - Epoch(train) [1][280/660] lr: 2.2688e-03 eta: 22:18:27 time: 1.0282 data_time: 0.0179 memory: 22681 loss: 5.0669 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.0669 2022/10/29 23:06:11 - mmengine - INFO - Epoch(train) [1][300/660] lr: 2.3598e-03 eta: 22:03:31 time: 1.0231 data_time: 0.0176 memory: 22681 loss: 5.0334 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0334 2022/10/29 23:06:31 - mmengine - INFO - Epoch(train) [1][320/660] lr: 2.4507e-03 eta: 21:50:26 time: 1.0234 data_time: 0.0170 memory: 22681 loss: 5.0305 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.0305 2022/10/29 23:06:52 - mmengine - INFO - Epoch(train) [1][340/660] lr: 2.5417e-03 eta: 21:39:38 time: 1.0354 data_time: 0.0205 memory: 22681 loss: 4.9877 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.9877 2022/10/29 23:07:13 - mmengine - INFO - Epoch(train) [1][360/660] lr: 2.6326e-03 eta: 21:29:27 time: 1.0267 data_time: 0.0178 memory: 22681 loss: 4.9723 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.9723 2022/10/29 23:07:33 - mmengine - INFO - Epoch(train) [1][380/660] lr: 2.7236e-03 eta: 21:20:16 time: 1.0258 data_time: 0.0174 memory: 22681 loss: 5.0027 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.0027 2022/10/29 23:07:54 - mmengine - INFO - Epoch(train) [1][400/660] lr: 2.8146e-03 eta: 21:12:14 time: 1.0308 data_time: 0.0162 memory: 22681 loss: 5.0176 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.0176 2022/10/29 23:08:15 - mmengine - INFO - Epoch(train) [1][420/660] lr: 2.9055e-03 eta: 21:05:13 time: 1.0363 data_time: 0.0210 memory: 22681 loss: 4.9674 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 4.9674 2022/10/29 23:08:35 - mmengine - INFO - Epoch(train) [1][440/660] lr: 2.9965e-03 eta: 20:58:15 time: 1.0251 data_time: 0.0180 memory: 22681 loss: 4.9366 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9366 2022/10/29 23:08:56 - mmengine - INFO - Epoch(train) [1][460/660] lr: 3.0874e-03 eta: 20:51:48 time: 1.0237 data_time: 0.0173 memory: 22681 loss: 4.9094 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9094 2022/10/29 23:09:16 - mmengine - INFO - Epoch(train) [1][480/660] lr: 3.1784e-03 eta: 20:45:52 time: 1.0241 data_time: 0.0165 memory: 22681 loss: 4.9135 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9135 2022/10/29 23:09:37 - mmengine - INFO - Epoch(train) [1][500/660] lr: 3.2693e-03 eta: 20:40:57 time: 1.0369 data_time: 0.0210 memory: 22681 loss: 4.9136 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 4.9136 2022/10/29 23:09:57 - mmengine - INFO - Epoch(train) [1][520/660] lr: 3.3603e-03 eta: 20:36:00 time: 1.0278 data_time: 0.0186 memory: 22681 loss: 4.9771 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9771 2022/10/29 23:10:18 - mmengine - INFO - Epoch(train) [1][540/660] lr: 3.4512e-03 eta: 20:31:12 time: 1.0234 data_time: 0.0168 memory: 22681 loss: 4.9036 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.9036 2022/10/29 23:10:38 - mmengine - INFO - Epoch(train) [1][560/660] lr: 3.5422e-03 eta: 20:26:54 time: 1.0275 data_time: 0.0165 memory: 22681 loss: 4.8663 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8663 2022/10/29 23:10:59 - mmengine - INFO - Epoch(train) [1][580/660] lr: 3.6331e-03 eta: 20:23:03 time: 1.0326 data_time: 0.0233 memory: 22681 loss: 4.8106 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.8106 2022/10/29 23:11:20 - mmengine - INFO - Epoch(train) [1][600/660] lr: 3.7241e-03 eta: 20:19:12 time: 1.0262 data_time: 0.0180 memory: 22681 loss: 4.8863 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8863 2022/10/29 23:11:40 - mmengine - INFO - Epoch(train) [1][620/660] lr: 3.8151e-03 eta: 20:15:24 time: 1.0208 data_time: 0.0181 memory: 22681 loss: 4.8022 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8022 2022/10/29 23:12:00 - mmengine - INFO - Epoch(train) [1][640/660] lr: 3.9060e-03 eta: 20:11:45 time: 1.0192 data_time: 0.0168 memory: 22681 loss: 4.7612 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.7612 2022/10/29 23:12:21 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/29 23:12:21 - mmengine - INFO - Epoch(train) [1][660/660] lr: 3.9970e-03 eta: 20:08:04 time: 1.0119 data_time: 0.0184 memory: 22681 loss: 4.7657 top1_acc: 0.0714 top5_acc: 0.1429 loss_cls: 4.7657 2022/10/29 23:12:50 - mmengine - INFO - Epoch(val) [1][20/194] eta: 0:04:13 time: 1.4585 data_time: 1.3559 memory: 2517 2022/10/29 23:12:52 - mmengine - INFO - Epoch(val) [1][40/194] eta: 0:00:16 time: 0.1071 data_time: 0.0068 memory: 2517 2022/10/29 23:12:54 - mmengine - INFO - Epoch(val) [1][60/194] eta: 0:00:14 time: 0.1077 data_time: 0.0072 memory: 2517 2022/10/29 23:12:56 - mmengine - INFO - Epoch(val) [1][80/194] eta: 0:00:12 time: 0.1074 data_time: 0.0070 memory: 2517 2022/10/29 23:12:58 - mmengine - INFO - Epoch(val) [1][100/194] eta: 0:00:10 time: 0.1072 data_time: 0.0070 memory: 2517 2022/10/29 23:13:01 - mmengine - INFO - Epoch(val) [1][120/194] eta: 0:00:08 time: 0.1089 data_time: 0.0078 memory: 2517 2022/10/29 23:13:03 - mmengine - INFO - Epoch(val) [1][140/194] eta: 0:00:05 time: 0.1080 data_time: 0.0072 memory: 2517 2022/10/29 23:13:05 - mmengine - INFO - Epoch(val) [1][160/194] eta: 0:00:03 time: 0.1080 data_time: 0.0074 memory: 2517 2022/10/29 23:13:07 - mmengine - INFO - Epoch(val) [1][180/194] eta: 0:00:01 time: 0.1074 data_time: 0.0071 memory: 2517 2022/10/29 23:13:10 - mmengine - INFO - Epoch(val) [1][194/194] acc/top1: 0.0810 acc/top5: 0.2378 acc/mean1: 0.0376 2022/10/29 23:13:11 - mmengine - INFO - The best checkpoint with 0.0810 acc/top1 at 1 epoch is saved to best_acc/top1_epoch_1.pth. 2022/10/29 23:13:38 - mmengine - INFO - Epoch(train) [2][20/660] lr: 4.0879e-03 eta: 20:14:12 time: 1.3126 data_time: 0.2221 memory: 22681 loss: 4.7501 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.7501 2022/10/29 23:13:58 - mmengine - INFO - Epoch(train) [2][40/660] lr: 4.1789e-03 eta: 20:10:42 time: 1.0148 data_time: 0.0191 memory: 22681 loss: 4.6997 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.6997 2022/10/29 23:14:18 - mmengine - INFO - Epoch(train) [2][60/660] lr: 4.2698e-03 eta: 20:07:27 time: 1.0172 data_time: 0.0172 memory: 22681 loss: 4.6590 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.6590 2022/10/29 23:14:39 - mmengine - INFO - Epoch(train) [2][80/660] lr: 4.3608e-03 eta: 20:04:20 time: 1.0165 data_time: 0.0186 memory: 22681 loss: 4.6519 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6519 2022/10/29 23:14:59 - mmengine - INFO - Epoch(train) [2][100/660] lr: 4.4517e-03 eta: 20:01:43 time: 1.0284 data_time: 0.0222 memory: 22681 loss: 4.6332 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6332 2022/10/29 23:15:20 - mmengine - INFO - Epoch(train) [2][120/660] lr: 4.5427e-03 eta: 19:59:01 time: 1.0218 data_time: 0.0176 memory: 22681 loss: 4.6813 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.6813 2022/10/29 23:15:40 - mmengine - INFO - Epoch(train) [2][140/660] lr: 4.6337e-03 eta: 19:56:23 time: 1.0198 data_time: 0.0176 memory: 22681 loss: 4.5035 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.5035 2022/10/29 23:16:00 - mmengine - INFO - Epoch(train) [2][160/660] lr: 4.7246e-03 eta: 19:53:45 time: 1.0149 data_time: 0.0173 memory: 22681 loss: 4.5388 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 4.5388 2022/10/29 23:16:21 - mmengine - INFO - Epoch(train) [2][180/660] lr: 4.8156e-03 eta: 19:51:35 time: 1.0296 data_time: 0.0211 memory: 22681 loss: 4.5603 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5603 2022/10/29 23:16:41 - mmengine - INFO - Epoch(train) [2][200/660] lr: 4.9065e-03 eta: 19:49:19 time: 1.0218 data_time: 0.0167 memory: 22681 loss: 4.4377 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.4377 2022/10/29 23:17:02 - mmengine - INFO - Epoch(train) [2][220/660] lr: 4.9975e-03 eta: 19:46:58 time: 1.0149 data_time: 0.0176 memory: 22681 loss: 4.4696 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.4696 2022/10/29 23:17:22 - mmengine - INFO - Epoch(train) [2][240/660] lr: 5.0884e-03 eta: 19:44:47 time: 1.0188 data_time: 0.0173 memory: 22681 loss: 4.4427 top1_acc: 0.0000 top5_acc: 0.3125 loss_cls: 4.4427 2022/10/29 23:17:43 - mmengine - INFO - Epoch(train) [2][260/660] lr: 5.1794e-03 eta: 19:43:00 time: 1.0316 data_time: 0.0223 memory: 22681 loss: 4.3326 top1_acc: 0.0000 top5_acc: 0.3125 loss_cls: 4.3326 2022/10/29 23:18:03 - mmengine - INFO - Epoch(train) [2][280/660] lr: 5.2703e-03 eta: 19:41:11 time: 1.0274 data_time: 0.0182 memory: 22681 loss: 4.3474 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.3474 2022/10/29 23:18:24 - mmengine - INFO - Epoch(train) [2][300/660] lr: 5.3613e-03 eta: 19:39:14 time: 1.0195 data_time: 0.0180 memory: 22681 loss: 4.2840 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.2840 2022/10/29 23:18:44 - mmengine - INFO - Epoch(train) [2][320/660] lr: 5.4522e-03 eta: 19:37:23 time: 1.0204 data_time: 0.0182 memory: 22681 loss: 4.3270 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.3270 2022/10/29 23:19:05 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/29 23:19:05 - mmengine - INFO - Epoch(train) [2][340/660] lr: 5.5432e-03 eta: 19:35:52 time: 1.0333 data_time: 0.0228 memory: 22681 loss: 4.2828 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.2828 2022/10/29 23:19:25 - mmengine - INFO - Epoch(train) [2][360/660] lr: 5.6342e-03 eta: 19:34:19 time: 1.0293 data_time: 0.0180 memory: 22681 loss: 4.3384 top1_acc: 0.0000 top5_acc: 0.3125 loss_cls: 4.3384 2022/10/29 23:19:46 - mmengine - INFO - Epoch(train) [2][380/660] lr: 5.7251e-03 eta: 19:32:45 time: 1.0260 data_time: 0.0182 memory: 22681 loss: 4.2184 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.2184 2022/10/29 23:20:06 - mmengine - INFO - Epoch(train) [2][400/660] lr: 5.8161e-03 eta: 19:31:07 time: 1.0209 data_time: 0.0183 memory: 22681 loss: 4.1428 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 4.1428 2022/10/29 23:20:27 - mmengine - INFO - Epoch(train) [2][420/660] lr: 5.9070e-03 eta: 19:29:51 time: 1.0372 data_time: 0.0233 memory: 22681 loss: 4.1733 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 4.1733 2022/10/29 23:20:48 - mmengine - INFO - Epoch(train) [2][440/660] lr: 5.9980e-03 eta: 19:28:29 time: 1.0303 data_time: 0.0183 memory: 22681 loss: 4.1668 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 4.1668 2022/10/29 23:21:08 - mmengine - INFO - Epoch(train) [2][460/660] lr: 6.0889e-03 eta: 19:27:05 time: 1.0261 data_time: 0.0174 memory: 22681 loss: 4.1001 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.1001 2022/10/29 23:21:29 - mmengine - INFO - Epoch(train) [2][480/660] lr: 6.1799e-03 eta: 19:25:37 time: 1.0213 data_time: 0.0177 memory: 22681 loss: 4.0621 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.0621 2022/10/29 23:21:49 - mmengine - INFO - Epoch(train) [2][500/660] lr: 6.2708e-03 eta: 19:24:29 time: 1.0363 data_time: 0.0228 memory: 22681 loss: 4.0265 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 4.0265 2022/10/29 23:22:10 - mmengine - INFO - Epoch(train) [2][520/660] lr: 6.3618e-03 eta: 19:23:16 time: 1.0310 data_time: 0.0183 memory: 22681 loss: 3.9474 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.9474 2022/10/29 23:22:30 - mmengine - INFO - Epoch(train) [2][540/660] lr: 6.4528e-03 eta: 19:21:59 time: 1.0253 data_time: 0.0185 memory: 22681 loss: 4.0276 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 4.0276 2022/10/29 23:22:51 - mmengine - INFO - Epoch(train) [2][560/660] lr: 6.5437e-03 eta: 19:20:41 time: 1.0225 data_time: 0.0180 memory: 22681 loss: 4.0312 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.0312 2022/10/29 23:23:12 - mmengine - INFO - Epoch(train) [2][580/660] lr: 6.6347e-03 eta: 19:19:43 time: 1.0399 data_time: 0.0239 memory: 22681 loss: 3.8572 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.8572 2022/10/29 23:23:32 - mmengine - INFO - Epoch(train) [2][600/660] lr: 6.7256e-03 eta: 19:18:36 time: 1.0305 data_time: 0.0176 memory: 22681 loss: 3.9222 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.9222 2022/10/29 23:23:53 - mmengine - INFO - Epoch(train) [2][620/660] lr: 6.8166e-03 eta: 19:17:25 time: 1.0251 data_time: 0.0180 memory: 22681 loss: 3.9299 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.9299 2022/10/29 23:24:13 - mmengine - INFO - Epoch(train) [2][640/660] lr: 6.9075e-03 eta: 19:16:10 time: 1.0186 data_time: 0.0194 memory: 22681 loss: 3.9839 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.9839 2022/10/29 23:24:33 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/29 23:24:33 - mmengine - INFO - Epoch(train) [2][660/660] lr: 6.9985e-03 eta: 19:14:51 time: 1.0142 data_time: 0.0203 memory: 22681 loss: 3.9570 top1_acc: 0.3571 top5_acc: 0.5714 loss_cls: 3.9570 2022/10/29 23:24:36 - mmengine - INFO - Epoch(val) [2][20/194] eta: 0:00:23 time: 0.1369 data_time: 0.0339 memory: 2517 2022/10/29 23:24:38 - mmengine - INFO - Epoch(val) [2][40/194] eta: 0:00:16 time: 0.1093 data_time: 0.0078 memory: 2517 2022/10/29 23:24:41 - mmengine - INFO - Epoch(val) [2][60/194] eta: 0:00:14 time: 0.1100 data_time: 0.0078 memory: 2517 2022/10/29 23:24:43 - mmengine - INFO - Epoch(val) [2][80/194] eta: 0:00:12 time: 0.1099 data_time: 0.0082 memory: 2517 2022/10/29 23:24:45 - mmengine - INFO - Epoch(val) [2][100/194] eta: 0:00:10 time: 0.1101 data_time: 0.0078 memory: 2517 2022/10/29 23:24:47 - mmengine - INFO - Epoch(val) [2][120/194] eta: 0:00:08 time: 0.1123 data_time: 0.0091 memory: 2517 2022/10/29 23:24:49 - mmengine - INFO - Epoch(val) [2][140/194] eta: 0:00:05 time: 0.1099 data_time: 0.0081 memory: 2517 2022/10/29 23:24:52 - mmengine - INFO - Epoch(val) [2][160/194] eta: 0:00:03 time: 0.1100 data_time: 0.0081 memory: 2517 2022/10/29 23:24:54 - mmengine - INFO - Epoch(val) [2][180/194] eta: 0:00:01 time: 0.1095 data_time: 0.0078 memory: 2517 2022/10/29 23:24:56 - mmengine - INFO - Epoch(val) [2][194/194] acc/top1: 0.2317 acc/top5: 0.5263 acc/mean1: 0.1456 2022/10/29 23:24:56 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_1.pth is removed 2022/10/29 23:24:58 - mmengine - INFO - The best checkpoint with 0.2317 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/10/29 23:25:25 - mmengine - INFO - Epoch(train) [3][20/660] lr: 7.0894e-03 eta: 19:18:42 time: 1.3325 data_time: 0.2651 memory: 22681 loss: 3.9321 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.9321 2022/10/29 23:25:45 - mmengine - INFO - Epoch(train) [3][40/660] lr: 7.1804e-03 eta: 19:17:27 time: 1.0193 data_time: 0.0166 memory: 22681 loss: 3.9048 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9048 2022/10/29 23:26:06 - mmengine - INFO - Epoch(train) [3][60/660] lr: 7.2713e-03 eta: 19:16:25 time: 1.0306 data_time: 0.0172 memory: 22681 loss: 3.6269 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6269 2022/10/29 23:26:26 - mmengine - INFO - Epoch(train) [3][80/660] lr: 7.3623e-03 eta: 19:15:15 time: 1.0208 data_time: 0.0181 memory: 22681 loss: 3.7303 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 3.7303 2022/10/29 23:26:47 - mmengine - INFO - Epoch(train) [3][100/660] lr: 7.4533e-03 eta: 19:14:19 time: 1.0351 data_time: 0.0220 memory: 22681 loss: 3.6383 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6383 2022/10/29 23:27:08 - mmengine - INFO - Epoch(train) [3][120/660] lr: 7.5442e-03 eta: 19:13:16 time: 1.0263 data_time: 0.0172 memory: 22681 loss: 3.9136 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 3.9136 2022/10/29 23:27:28 - mmengine - INFO - Epoch(train) [3][140/660] lr: 7.6352e-03 eta: 19:12:11 time: 1.0226 data_time: 0.0174 memory: 22681 loss: 3.9284 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.9284 2022/10/29 23:27:48 - mmengine - INFO - Epoch(train) [3][160/660] lr: 7.7261e-03 eta: 19:11:06 time: 1.0216 data_time: 0.0181 memory: 22681 loss: 3.8395 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.8395 2022/10/29 23:28:09 - mmengine - INFO - Epoch(train) [3][180/660] lr: 7.8171e-03 eta: 19:10:23 time: 1.0448 data_time: 0.0235 memory: 22681 loss: 3.6875 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6875 2022/10/29 23:28:30 - mmengine - INFO - Epoch(train) [3][200/660] lr: 7.9080e-03 eta: 19:09:25 time: 1.0275 data_time: 0.0182 memory: 22681 loss: 3.6916 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6916 2022/10/29 23:28:50 - mmengine - INFO - Epoch(train) [3][220/660] lr: 7.9990e-03 eta: 19:08:29 time: 1.0280 data_time: 0.0189 memory: 22681 loss: 3.7260 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.7260 2022/10/29 23:29:11 - mmengine - INFO - Epoch(train) [3][240/660] lr: 8.0899e-03 eta: 19:07:31 time: 1.0246 data_time: 0.0182 memory: 22681 loss: 3.7077 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7077 2022/10/29 23:29:32 - mmengine - INFO - Epoch(train) [3][260/660] lr: 8.1809e-03 eta: 19:06:47 time: 1.0409 data_time: 0.0235 memory: 22681 loss: 3.7436 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.7436 2022/10/29 23:29:52 - mmengine - INFO - Epoch(train) [3][280/660] lr: 8.2719e-03 eta: 19:05:55 time: 1.0301 data_time: 0.0181 memory: 22681 loss: 3.6278 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.6278 2022/10/29 23:30:13 - mmengine - INFO - Epoch(train) [3][300/660] lr: 8.3628e-03 eta: 19:04:59 time: 1.0244 data_time: 0.0177 memory: 22681 loss: 3.5789 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5789 2022/10/29 23:30:33 - mmengine - INFO - Epoch(train) [3][320/660] lr: 8.4538e-03 eta: 19:04:04 time: 1.0234 data_time: 0.0176 memory: 22681 loss: 3.5994 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.5994 2022/10/29 23:30:54 - mmengine - INFO - Epoch(train) [3][340/660] lr: 8.5447e-03 eta: 19:03:24 time: 1.0432 data_time: 0.0225 memory: 22681 loss: 3.6908 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6908 2022/10/29 23:31:15 - mmengine - INFO - Epoch(train) [3][360/660] lr: 8.6357e-03 eta: 19:02:32 time: 1.0259 data_time: 0.0181 memory: 22681 loss: 3.4760 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.4760 2022/10/29 23:31:35 - mmengine - INFO - Epoch(train) [3][380/660] lr: 8.7266e-03 eta: 19:01:36 time: 1.0206 data_time: 0.0175 memory: 22681 loss: 3.4174 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.4174 2022/10/29 23:31:56 - mmengine - INFO - Epoch(train) [3][400/660] lr: 8.8176e-03 eta: 19:00:42 time: 1.0205 data_time: 0.0184 memory: 22681 loss: 3.5147 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 3.5147 2022/10/29 23:32:16 - mmengine - INFO - Epoch(train) [3][420/660] lr: 8.9085e-03 eta: 18:59:58 time: 1.0345 data_time: 0.0232 memory: 22681 loss: 3.4648 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.4648 2022/10/29 23:32:37 - mmengine - INFO - Epoch(train) [3][440/660] lr: 8.9995e-03 eta: 18:59:08 time: 1.0253 data_time: 0.0175 memory: 22681 loss: 3.5872 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.5872 2022/10/29 23:32:57 - mmengine - INFO - Epoch(train) [3][460/660] lr: 9.0904e-03 eta: 18:58:18 time: 1.0245 data_time: 0.0180 memory: 22681 loss: 3.4250 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.4250 2022/10/29 23:33:18 - mmengine - INFO - Epoch(train) [3][480/660] lr: 9.1814e-03 eta: 18:57:29 time: 1.0238 data_time: 0.0188 memory: 22681 loss: 3.5210 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.5210 2022/10/29 23:33:38 - mmengine - INFO - Epoch(train) [3][500/660] lr: 9.2724e-03 eta: 18:56:51 time: 1.0390 data_time: 0.0250 memory: 22681 loss: 3.4979 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.4979 2022/10/29 23:33:59 - mmengine - INFO - Epoch(train) [3][520/660] lr: 9.3633e-03 eta: 18:56:04 time: 1.0266 data_time: 0.0192 memory: 22681 loss: 3.5055 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5055 2022/10/29 23:34:19 - mmengine - INFO - Epoch(train) [3][540/660] lr: 9.4543e-03 eta: 18:55:16 time: 1.0231 data_time: 0.0177 memory: 22681 loss: 3.4779 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.4779 2022/10/29 23:34:40 - mmengine - INFO - Epoch(train) [3][560/660] lr: 9.5452e-03 eta: 18:54:27 time: 1.0217 data_time: 0.0184 memory: 22681 loss: 3.4871 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.4871 2022/10/29 23:35:01 - mmengine - INFO - Epoch(train) [3][580/660] lr: 9.6362e-03 eta: 18:53:56 time: 1.0475 data_time: 0.0244 memory: 22681 loss: 3.4444 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.4444 2022/10/29 23:35:21 - mmengine - INFO - Epoch(train) [3][600/660] lr: 9.7271e-03 eta: 18:53:13 time: 1.0287 data_time: 0.0187 memory: 22681 loss: 3.3662 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 3.3662 2022/10/29 23:35:42 - mmengine - INFO - Epoch(train) [3][620/660] lr: 9.8181e-03 eta: 18:52:29 time: 1.0264 data_time: 0.0175 memory: 22681 loss: 3.4886 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.4886 2022/10/29 23:36:02 - mmengine - INFO - Epoch(train) [3][640/660] lr: 9.9090e-03 eta: 18:51:42 time: 1.0212 data_time: 0.0185 memory: 22681 loss: 3.4760 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 3.4760 2022/10/29 23:36:23 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/29 23:36:23 - mmengine - INFO - Epoch(train) [3][660/660] lr: 1.0000e-02 eta: 18:50:57 time: 1.0228 data_time: 0.0218 memory: 22681 loss: 3.5113 top1_acc: 0.2143 top5_acc: 0.4286 loss_cls: 3.5113 2022/10/29 23:36:23 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/10/29 23:36:27 - mmengine - INFO - Epoch(val) [3][20/194] eta: 0:00:22 time: 0.1291 data_time: 0.0260 memory: 2517 2022/10/29 23:36:29 - mmengine - INFO - Epoch(val) [3][40/194] eta: 0:00:16 time: 0.1097 data_time: 0.0081 memory: 2517 2022/10/29 23:36:31 - mmengine - INFO - Epoch(val) [3][60/194] eta: 0:00:14 time: 0.1099 data_time: 0.0082 memory: 2517 2022/10/29 23:36:33 - mmengine - INFO - Epoch(val) [3][80/194] eta: 0:00:12 time: 0.1103 data_time: 0.0087 memory: 2517 2022/10/29 23:36:35 - mmengine - INFO - Epoch(val) [3][100/194] eta: 0:00:10 time: 0.1091 data_time: 0.0078 memory: 2517 2022/10/29 23:36:38 - mmengine - INFO - Epoch(val) [3][120/194] eta: 0:00:08 time: 0.1097 data_time: 0.0087 memory: 2517 2022/10/29 23:36:40 - mmengine - INFO - Epoch(val) [3][140/194] eta: 0:00:05 time: 0.1076 data_time: 0.0064 memory: 2517 2022/10/29 23:36:42 - mmengine - INFO - Epoch(val) [3][160/194] eta: 0:00:03 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/29 23:36:44 - mmengine - INFO - Epoch(val) [3][180/194] eta: 0:00:01 time: 0.1089 data_time: 0.0076 memory: 2517 2022/10/29 23:36:46 - mmengine - INFO - Epoch(val) [3][194/194] acc/top1: 0.3425 acc/top5: 0.6669 acc/mean1: 0.2439 2022/10/29 23:36:46 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_2.pth is removed 2022/10/29 23:36:48 - mmengine - INFO - The best checkpoint with 0.3425 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/10/29 23:37:15 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/29 23:37:15 - mmengine - INFO - Epoch(train) [4][20/660] lr: 1.0000e-02 eta: 18:53:58 time: 1.3758 data_time: 0.2146 memory: 22681 loss: 3.4108 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.4108 2022/10/29 23:37:36 - mmengine - INFO - Epoch(train) [4][40/660] lr: 1.0000e-02 eta: 18:53:09 time: 1.0206 data_time: 0.0182 memory: 22681 loss: 3.5218 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.5218 2022/10/29 23:37:56 - mmengine - INFO - Epoch(train) [4][60/660] lr: 1.0000e-02 eta: 18:52:20 time: 1.0179 data_time: 0.0173 memory: 22681 loss: 3.4941 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.4941 2022/10/29 23:38:17 - mmengine - INFO - Epoch(train) [4][80/660] lr: 1.0000e-02 eta: 18:51:32 time: 1.0186 data_time: 0.0171 memory: 22681 loss: 3.4942 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4942 2022/10/29 23:38:37 - mmengine - INFO - Epoch(train) [4][100/660] lr: 9.9999e-03 eta: 18:50:53 time: 1.0340 data_time: 0.0209 memory: 22681 loss: 3.2967 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.2967 2022/10/29 23:38:58 - mmengine - INFO - Epoch(train) [4][120/660] lr: 9.9999e-03 eta: 18:50:13 time: 1.0301 data_time: 0.0182 memory: 22681 loss: 3.3145 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3145 2022/10/29 23:39:18 - mmengine - INFO - Epoch(train) [4][140/660] lr: 9.9999e-03 eta: 18:49:30 time: 1.0253 data_time: 0.0182 memory: 22681 loss: 3.4360 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.4360 2022/10/29 23:39:39 - mmengine - INFO - Epoch(train) [4][160/660] lr: 9.9999e-03 eta: 18:48:48 time: 1.0260 data_time: 0.0173 memory: 22681 loss: 3.3217 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.3217 2022/10/29 23:40:00 - mmengine - INFO - Epoch(train) [4][180/660] lr: 9.9998e-03 eta: 18:48:15 time: 1.0410 data_time: 0.0214 memory: 22681 loss: 3.4441 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.4441 2022/10/29 23:40:21 - mmengine - INFO - Epoch(train) [4][200/660] lr: 9.9998e-03 eta: 18:47:41 time: 1.0388 data_time: 0.0167 memory: 22681 loss: 3.3813 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.3813 2022/10/29 23:40:41 - mmengine - INFO - Epoch(train) [4][220/660] lr: 9.9997e-03 eta: 18:46:59 time: 1.0231 data_time: 0.0171 memory: 22681 loss: 3.3120 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3120 2022/10/29 23:41:02 - mmengine - INFO - Epoch(train) [4][240/660] lr: 9.9997e-03 eta: 18:46:19 time: 1.0281 data_time: 0.0173 memory: 22681 loss: 3.2425 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.2425 2022/10/29 23:41:22 - mmengine - INFO - Epoch(train) [4][260/660] lr: 9.9996e-03 eta: 18:45:48 time: 1.0426 data_time: 0.0217 memory: 22681 loss: 3.3067 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 3.3067 2022/10/29 23:41:43 - mmengine - INFO - Epoch(train) [4][280/660] lr: 9.9996e-03 eta: 18:45:13 time: 1.0334 data_time: 0.0185 memory: 22681 loss: 3.3205 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.3205 2022/10/29 23:42:03 - mmengine - INFO - Epoch(train) [4][300/660] lr: 9.9995e-03 eta: 18:44:30 time: 1.0213 data_time: 0.0182 memory: 22681 loss: 3.2567 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.2567 2022/10/29 23:42:24 - mmengine - INFO - Epoch(train) [4][320/660] lr: 9.9994e-03 eta: 18:43:49 time: 1.0234 data_time: 0.0182 memory: 22681 loss: 3.2015 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2015 2022/10/29 23:42:45 - mmengine - INFO - Epoch(train) [4][340/660] lr: 9.9994e-03 eta: 18:43:16 time: 1.0368 data_time: 0.0213 memory: 22681 loss: 3.2202 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.2202 2022/10/29 23:43:05 - mmengine - INFO - Epoch(train) [4][360/660] lr: 9.9993e-03 eta: 18:42:42 time: 1.0339 data_time: 0.0177 memory: 22681 loss: 3.3685 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.3685 2022/10/29 23:43:26 - mmengine - INFO - Epoch(train) [4][380/660] lr: 9.9992e-03 eta: 18:42:02 time: 1.0228 data_time: 0.0177 memory: 22681 loss: 3.4526 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.4526 2022/10/29 23:43:46 - mmengine - INFO - Epoch(train) [4][400/660] lr: 9.9991e-03 eta: 18:41:21 time: 1.0222 data_time: 0.0177 memory: 22681 loss: 3.4074 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4074 2022/10/29 23:44:07 - mmengine - INFO - Epoch(train) [4][420/660] lr: 9.9990e-03 eta: 18:40:55 time: 1.0480 data_time: 0.0223 memory: 22681 loss: 3.3153 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.3153 2022/10/29 23:44:28 - mmengine - INFO - Epoch(train) [4][440/660] lr: 9.9989e-03 eta: 18:40:20 time: 1.0315 data_time: 0.0172 memory: 22681 loss: 3.3164 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.3164 2022/10/29 23:44:48 - mmengine - INFO - Epoch(train) [4][460/660] lr: 9.9988e-03 eta: 18:39:42 time: 1.0232 data_time: 0.0177 memory: 22681 loss: 3.2017 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.2017 2022/10/29 23:45:09 - mmengine - INFO - Epoch(train) [4][480/660] lr: 9.9987e-03 eta: 18:39:05 time: 1.0279 data_time: 0.0218 memory: 22681 loss: 3.2718 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.2718 2022/10/29 23:45:30 - mmengine - INFO - Epoch(train) [4][500/660] lr: 9.9986e-03 eta: 18:38:36 time: 1.0401 data_time: 0.0233 memory: 22681 loss: 3.1084 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.1084 2022/10/29 23:45:50 - mmengine - INFO - Epoch(train) [4][520/660] lr: 9.9985e-03 eta: 18:38:03 time: 1.0329 data_time: 0.0177 memory: 22681 loss: 3.2237 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2237 2022/10/29 23:46:11 - mmengine - INFO - Epoch(train) [4][540/660] lr: 9.9984e-03 eta: 18:37:25 time: 1.0239 data_time: 0.0176 memory: 22681 loss: 3.2716 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.2716 2022/10/29 23:46:31 - mmengine - INFO - Epoch(train) [4][560/660] lr: 9.9983e-03 eta: 18:36:47 time: 1.0232 data_time: 0.0180 memory: 22681 loss: 3.1747 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1747 2022/10/29 23:46:52 - mmengine - INFO - Epoch(train) [4][580/660] lr: 9.9981e-03 eta: 18:36:19 time: 1.0418 data_time: 0.0236 memory: 22681 loss: 3.1765 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 3.1765 2022/10/29 23:47:13 - mmengine - INFO - Epoch(train) [4][600/660] lr: 9.9980e-03 eta: 18:35:48 time: 1.0348 data_time: 0.0180 memory: 22681 loss: 3.2242 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2242 2022/10/29 23:47:33 - mmengine - INFO - Epoch(train) [4][620/660] lr: 9.9979e-03 eta: 18:35:13 time: 1.0276 data_time: 0.0182 memory: 22681 loss: 3.1961 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.1961 2022/10/29 23:47:54 - mmengine - INFO - Epoch(train) [4][640/660] lr: 9.9977e-03 eta: 18:34:37 time: 1.0238 data_time: 0.0183 memory: 22681 loss: 3.1111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1111 2022/10/29 23:48:14 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/29 23:48:14 - mmengine - INFO - Epoch(train) [4][660/660] lr: 9.9976e-03 eta: 18:33:59 time: 1.0201 data_time: 0.0187 memory: 22681 loss: 3.2272 top1_acc: 0.5000 top5_acc: 0.7857 loss_cls: 3.2272 2022/10/29 23:48:17 - mmengine - INFO - Epoch(val) [4][20/194] eta: 0:00:24 time: 0.1388 data_time: 0.0354 memory: 2517 2022/10/29 23:48:19 - mmengine - INFO - Epoch(val) [4][40/194] eta: 0:00:16 time: 0.1096 data_time: 0.0085 memory: 2517 2022/10/29 23:48:21 - mmengine - INFO - Epoch(val) [4][60/194] eta: 0:00:14 time: 0.1092 data_time: 0.0081 memory: 2517 2022/10/29 23:48:24 - mmengine - INFO - Epoch(val) [4][80/194] eta: 0:00:12 time: 0.1110 data_time: 0.0088 memory: 2517 2022/10/29 23:48:26 - mmengine - INFO - Epoch(val) [4][100/194] eta: 0:00:10 time: 0.1096 data_time: 0.0081 memory: 2517 2022/10/29 23:48:28 - mmengine - INFO - Epoch(val) [4][120/194] eta: 0:00:08 time: 0.1100 data_time: 0.0084 memory: 2517 2022/10/29 23:48:30 - mmengine - INFO - Epoch(val) [4][140/194] eta: 0:00:05 time: 0.1088 data_time: 0.0076 memory: 2517 2022/10/29 23:48:32 - mmengine - INFO - Epoch(val) [4][160/194] eta: 0:00:03 time: 0.1088 data_time: 0.0074 memory: 2517 2022/10/29 23:48:35 - mmengine - INFO - Epoch(val) [4][180/194] eta: 0:00:01 time: 0.1081 data_time: 0.0072 memory: 2517 2022/10/29 23:48:37 - mmengine - INFO - Epoch(val) [4][194/194] acc/top1: 0.4231 acc/top5: 0.7430 acc/mean1: 0.3247 2022/10/29 23:48:37 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_3.pth is removed 2022/10/29 23:48:39 - mmengine - INFO - The best checkpoint with 0.4231 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/10/29 23:49:06 - mmengine - INFO - Epoch(train) [5][20/660] lr: 9.9974e-03 eta: 18:36:07 time: 1.3694 data_time: 0.2096 memory: 22681 loss: 3.1567 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.1567 2022/10/29 23:49:26 - mmengine - INFO - Epoch(train) [5][40/660] lr: 9.9973e-03 eta: 18:35:29 time: 1.0201 data_time: 0.0195 memory: 22681 loss: 3.0470 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.0470 2022/10/29 23:49:47 - mmengine - INFO - Epoch(train) [5][60/660] lr: 9.9971e-03 eta: 18:34:49 time: 1.0178 data_time: 0.0188 memory: 22681 loss: 3.0803 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.0803 2022/10/29 23:50:07 - mmengine - INFO - Epoch(train) [5][80/660] lr: 9.9970e-03 eta: 18:34:10 time: 1.0175 data_time: 0.0175 memory: 22681 loss: 3.2063 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.2063 2022/10/29 23:50:28 - mmengine - INFO - Epoch(train) [5][100/660] lr: 9.9968e-03 eta: 18:33:38 time: 1.0321 data_time: 0.0186 memory: 22681 loss: 3.0867 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 3.0867 2022/10/29 23:50:48 - mmengine - INFO - Epoch(train) [5][120/660] lr: 9.9966e-03 eta: 18:33:00 time: 1.0216 data_time: 0.0216 memory: 22681 loss: 3.1807 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.1807 2022/10/29 23:51:09 - mmengine - INFO - Epoch(train) [5][140/660] lr: 9.9965e-03 eta: 18:32:22 time: 1.0174 data_time: 0.0181 memory: 22681 loss: 3.0970 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0970 2022/10/29 23:51:29 - mmengine - INFO - Epoch(train) [5][160/660] lr: 9.9963e-03 eta: 18:31:46 time: 1.0239 data_time: 0.0189 memory: 22681 loss: 3.0433 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.0433 2022/10/29 23:51:50 - mmengine - INFO - Epoch(train) [5][180/660] lr: 9.9961e-03 eta: 18:31:14 time: 1.0313 data_time: 0.0197 memory: 22681 loss: 3.0573 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.0573 2022/10/29 23:52:10 - mmengine - INFO - Epoch(train) [5][200/660] lr: 9.9959e-03 eta: 18:30:39 time: 1.0233 data_time: 0.0231 memory: 22681 loss: 3.1052 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.1052 2022/10/29 23:52:30 - mmengine - INFO - Epoch(train) [5][220/660] lr: 9.9957e-03 eta: 18:30:01 time: 1.0173 data_time: 0.0183 memory: 22681 loss: 3.1800 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.1800 2022/10/29 23:52:51 - mmengine - INFO - Epoch(train) [5][240/660] lr: 9.9955e-03 eta: 18:29:24 time: 1.0181 data_time: 0.0182 memory: 22681 loss: 2.8552 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.8552 2022/10/29 23:53:11 - mmengine - INFO - Epoch(train) [5][260/660] lr: 9.9953e-03 eta: 18:28:53 time: 1.0318 data_time: 0.0188 memory: 22681 loss: 3.0532 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 3.0532 2022/10/29 23:53:32 - mmengine - INFO - Epoch(train) [5][280/660] lr: 9.9951e-03 eta: 18:28:18 time: 1.0221 data_time: 0.0201 memory: 22681 loss: 3.0159 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 3.0159 2022/10/29 23:53:52 - mmengine - INFO - Epoch(train) [5][300/660] lr: 9.9949e-03 eta: 18:27:44 time: 1.0235 data_time: 0.0180 memory: 22681 loss: 2.9656 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.9656 2022/10/29 23:54:13 - mmengine - INFO - Epoch(train) [5][320/660] lr: 9.9947e-03 eta: 18:27:10 time: 1.0239 data_time: 0.0189 memory: 22681 loss: 3.2897 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.2897 2022/10/29 23:54:34 - mmengine - INFO - Epoch(train) [5][340/660] lr: 9.9945e-03 eta: 18:26:40 time: 1.0327 data_time: 0.0200 memory: 22681 loss: 3.0666 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.0666 2022/10/29 23:54:54 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/29 23:54:54 - mmengine - INFO - Epoch(train) [5][360/660] lr: 9.9942e-03 eta: 18:26:09 time: 1.0292 data_time: 0.0213 memory: 22681 loss: 3.0296 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0296 2022/10/29 23:55:15 - mmengine - INFO - Epoch(train) [5][380/660] lr: 9.9940e-03 eta: 18:25:34 time: 1.0204 data_time: 0.0209 memory: 22681 loss: 3.1613 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 3.1613 2022/10/29 23:55:35 - mmengine - INFO - Epoch(train) [5][400/660] lr: 9.9938e-03 eta: 18:24:58 time: 1.0188 data_time: 0.0188 memory: 22681 loss: 3.1896 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.1896 2022/10/29 23:55:56 - mmengine - INFO - Epoch(train) [5][420/660] lr: 9.9935e-03 eta: 18:24:31 time: 1.0387 data_time: 0.0201 memory: 22681 loss: 3.1180 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1180 2022/10/29 23:56:16 - mmengine - INFO - Epoch(train) [5][440/660] lr: 9.9933e-03 eta: 18:23:59 time: 1.0245 data_time: 0.0224 memory: 22681 loss: 3.1080 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.1080 2022/10/29 23:56:37 - mmengine - INFO - Epoch(train) [5][460/660] lr: 9.9931e-03 eta: 18:23:24 time: 1.0203 data_time: 0.0189 memory: 22681 loss: 3.0972 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 3.0972 2022/10/29 23:56:57 - mmengine - INFO - Epoch(train) [5][480/660] lr: 9.9928e-03 eta: 18:22:55 time: 1.0309 data_time: 0.0183 memory: 22681 loss: 2.9730 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.9730 2022/10/29 23:57:18 - mmengine - INFO - Epoch(train) [5][500/660] lr: 9.9925e-03 eta: 18:22:27 time: 1.0359 data_time: 0.0199 memory: 22681 loss: 3.1418 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.1418 2022/10/29 23:57:39 - mmengine - INFO - Epoch(train) [5][520/660] lr: 9.9923e-03 eta: 18:21:57 time: 1.0307 data_time: 0.0223 memory: 22681 loss: 3.1672 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.1672 2022/10/29 23:57:59 - mmengine - INFO - Epoch(train) [5][540/660] lr: 9.9920e-03 eta: 18:21:24 time: 1.0215 data_time: 0.0179 memory: 22681 loss: 3.0840 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.0840 2022/10/29 23:58:19 - mmengine - INFO - Epoch(train) [5][560/660] lr: 9.9918e-03 eta: 18:20:52 time: 1.0228 data_time: 0.0176 memory: 22681 loss: 3.0634 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.0634 2022/10/29 23:58:40 - mmengine - INFO - Epoch(train) [5][580/660] lr: 9.9915e-03 eta: 18:20:25 time: 1.0362 data_time: 0.0194 memory: 22681 loss: 2.8599 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.8599 2022/10/29 23:59:01 - mmengine - INFO - Epoch(train) [5][600/660] lr: 9.9912e-03 eta: 18:19:56 time: 1.0320 data_time: 0.0262 memory: 22681 loss: 3.1085 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 3.1085 2022/10/29 23:59:21 - mmengine - INFO - Epoch(train) [5][620/660] lr: 9.9909e-03 eta: 18:19:23 time: 1.0218 data_time: 0.0184 memory: 22681 loss: 3.0496 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.0496 2022/10/29 23:59:42 - mmengine - INFO - Epoch(train) [5][640/660] lr: 9.9906e-03 eta: 18:18:53 time: 1.0258 data_time: 0.0190 memory: 22681 loss: 2.9956 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9956 2022/10/30 00:00:02 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 00:00:02 - mmengine - INFO - Epoch(train) [5][660/660] lr: 9.9903e-03 eta: 18:18:17 time: 1.0117 data_time: 0.0185 memory: 22681 loss: 3.0494 top1_acc: 0.5714 top5_acc: 0.7857 loss_cls: 3.0494 2022/10/30 00:00:05 - mmengine - INFO - Epoch(val) [5][20/194] eta: 0:00:24 time: 0.1384 data_time: 0.0341 memory: 2517 2022/10/30 00:00:07 - mmengine - INFO - Epoch(val) [5][40/194] eta: 0:00:17 time: 0.1106 data_time: 0.0080 memory: 2517 2022/10/30 00:00:09 - mmengine - INFO - Epoch(val) [5][60/194] eta: 0:00:14 time: 0.1101 data_time: 0.0081 memory: 2517 2022/10/30 00:00:11 - mmengine - INFO - Epoch(val) [5][80/194] eta: 0:00:12 time: 0.1092 data_time: 0.0077 memory: 2517 2022/10/30 00:00:14 - mmengine - INFO - Epoch(val) [5][100/194] eta: 0:00:10 time: 0.1091 data_time: 0.0074 memory: 2517 2022/10/30 00:00:16 - mmengine - INFO - Epoch(val) [5][120/194] eta: 0:00:08 time: 0.1094 data_time: 0.0077 memory: 2517 2022/10/30 00:00:18 - mmengine - INFO - Epoch(val) [5][140/194] eta: 0:00:05 time: 0.1105 data_time: 0.0080 memory: 2517 2022/10/30 00:00:20 - mmengine - INFO - Epoch(val) [5][160/194] eta: 0:00:03 time: 0.1105 data_time: 0.0086 memory: 2517 2022/10/30 00:00:22 - mmengine - INFO - Epoch(val) [5][180/194] eta: 0:00:01 time: 0.1098 data_time: 0.0080 memory: 2517 2022/10/30 00:00:25 - mmengine - INFO - Epoch(val) [5][194/194] acc/top1: 0.4702 acc/top5: 0.7849 acc/mean1: 0.3673 2022/10/30 00:00:25 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_4.pth is removed 2022/10/30 00:00:26 - mmengine - INFO - The best checkpoint with 0.4702 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/10/30 00:00:54 - mmengine - INFO - Epoch(train) [6][20/660] lr: 9.9901e-03 eta: 18:20:00 time: 1.3805 data_time: 0.2703 memory: 22681 loss: 3.0317 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0317 2022/10/30 00:01:14 - mmengine - INFO - Epoch(train) [6][40/660] lr: 9.9898e-03 eta: 18:19:27 time: 1.0211 data_time: 0.0175 memory: 22681 loss: 3.1252 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 3.1252 2022/10/30 00:01:35 - mmengine - INFO - Epoch(train) [6][60/660] lr: 9.9894e-03 eta: 18:18:52 time: 1.0162 data_time: 0.0180 memory: 22681 loss: 2.9614 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.9614 2022/10/30 00:01:55 - mmengine - INFO - Epoch(train) [6][80/660] lr: 9.9891e-03 eta: 18:18:19 time: 1.0183 data_time: 0.0180 memory: 22681 loss: 3.1035 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 3.1035 2022/10/30 00:02:15 - mmengine - INFO - Epoch(train) [6][100/660] lr: 9.9888e-03 eta: 18:17:47 time: 1.0240 data_time: 0.0223 memory: 22681 loss: 3.0617 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 3.0617 2022/10/30 00:02:36 - mmengine - INFO - Epoch(train) [6][120/660] lr: 9.9885e-03 eta: 18:17:16 time: 1.0257 data_time: 0.0181 memory: 22681 loss: 2.9622 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.9622 2022/10/30 00:02:56 - mmengine - INFO - Epoch(train) [6][140/660] lr: 9.9882e-03 eta: 18:16:44 time: 1.0217 data_time: 0.0183 memory: 22681 loss: 2.9047 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9047 2022/10/30 00:03:17 - mmengine - INFO - Epoch(train) [6][160/660] lr: 9.9879e-03 eta: 18:16:11 time: 1.0185 data_time: 0.0190 memory: 22681 loss: 3.0580 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0580 2022/10/30 00:03:37 - mmengine - INFO - Epoch(train) [6][180/660] lr: 9.9875e-03 eta: 18:15:42 time: 1.0303 data_time: 0.0234 memory: 22681 loss: 2.9342 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.9342 2022/10/30 00:03:58 - mmengine - INFO - Epoch(train) [6][200/660] lr: 9.9872e-03 eta: 18:15:12 time: 1.0240 data_time: 0.0190 memory: 22681 loss: 2.9743 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.9743 2022/10/30 00:04:18 - mmengine - INFO - Epoch(train) [6][220/660] lr: 9.9869e-03 eta: 18:14:39 time: 1.0191 data_time: 0.0181 memory: 22681 loss: 2.9465 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9465 2022/10/30 00:04:39 - mmengine - INFO - Epoch(train) [6][240/660] lr: 9.9865e-03 eta: 18:14:06 time: 1.0184 data_time: 0.0181 memory: 22681 loss: 2.9757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9757 2022/10/30 00:04:59 - mmengine - INFO - Epoch(train) [6][260/660] lr: 9.9862e-03 eta: 18:13:39 time: 1.0329 data_time: 0.0221 memory: 22681 loss: 2.9480 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.9480 2022/10/30 00:05:20 - mmengine - INFO - Epoch(train) [6][280/660] lr: 9.9858e-03 eta: 18:13:12 time: 1.0333 data_time: 0.0188 memory: 22681 loss: 2.9247 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9247 2022/10/30 00:05:40 - mmengine - INFO - Epoch(train) [6][300/660] lr: 9.9855e-03 eta: 18:12:40 time: 1.0204 data_time: 0.0173 memory: 22681 loss: 2.8330 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.8330 2022/10/30 00:06:01 - mmengine - INFO - Epoch(train) [6][320/660] lr: 9.9851e-03 eta: 18:12:09 time: 1.0205 data_time: 0.0175 memory: 22681 loss: 2.8637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8637 2022/10/30 00:06:21 - mmengine - INFO - Epoch(train) [6][340/660] lr: 9.9847e-03 eta: 18:11:44 time: 1.0387 data_time: 0.0230 memory: 22681 loss: 2.8931 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8931 2022/10/30 00:06:42 - mmengine - INFO - Epoch(train) [6][360/660] lr: 9.9844e-03 eta: 18:11:16 time: 1.0292 data_time: 0.0181 memory: 22681 loss: 2.8867 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.8867 2022/10/30 00:07:02 - mmengine - INFO - Epoch(train) [6][380/660] lr: 9.9840e-03 eta: 18:10:44 time: 1.0190 data_time: 0.0174 memory: 22681 loss: 2.9977 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.9977 2022/10/30 00:07:23 - mmengine - INFO - Epoch(train) [6][400/660] lr: 9.9836e-03 eta: 18:10:15 time: 1.0253 data_time: 0.0181 memory: 22681 loss: 2.9627 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9627 2022/10/30 00:07:44 - mmengine - INFO - Epoch(train) [6][420/660] lr: 9.9832e-03 eta: 18:09:48 time: 1.0327 data_time: 0.0222 memory: 22681 loss: 2.9883 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.9883 2022/10/30 00:08:04 - mmengine - INFO - Epoch(train) [6][440/660] lr: 9.9828e-03 eta: 18:09:22 time: 1.0339 data_time: 0.0187 memory: 22681 loss: 2.8546 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8546 2022/10/30 00:08:25 - mmengine - INFO - Epoch(train) [6][460/660] lr: 9.9824e-03 eta: 18:08:53 time: 1.0275 data_time: 0.0181 memory: 22681 loss: 2.9425 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.9425 2022/10/30 00:08:45 - mmengine - INFO - Epoch(train) [6][480/660] lr: 9.9820e-03 eta: 18:08:23 time: 1.0232 data_time: 0.0184 memory: 22681 loss: 2.8328 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8328 2022/10/30 00:09:06 - mmengine - INFO - Epoch(train) [6][500/660] lr: 9.9816e-03 eta: 18:07:57 time: 1.0334 data_time: 0.0218 memory: 22681 loss: 2.9868 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.9868 2022/10/30 00:09:27 - mmengine - INFO - Epoch(train) [6][520/660] lr: 9.9812e-03 eta: 18:07:29 time: 1.0278 data_time: 0.0204 memory: 22681 loss: 2.9857 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9857 2022/10/30 00:09:47 - mmengine - INFO - Epoch(train) [6][540/660] lr: 9.9808e-03 eta: 18:07:01 time: 1.0275 data_time: 0.0176 memory: 22681 loss: 2.8248 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.8248 2022/10/30 00:10:08 - mmengine - INFO - Epoch(train) [6][560/660] lr: 9.9804e-03 eta: 18:06:32 time: 1.0230 data_time: 0.0175 memory: 22681 loss: 2.8359 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8359 2022/10/30 00:10:28 - mmengine - INFO - Epoch(train) [6][580/660] lr: 9.9800e-03 eta: 18:06:09 time: 1.0451 data_time: 0.0250 memory: 22681 loss: 2.9740 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9740 2022/10/30 00:10:49 - mmengine - INFO - Epoch(train) [6][600/660] lr: 9.9796e-03 eta: 18:05:42 time: 1.0281 data_time: 0.0183 memory: 22681 loss: 2.8755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8755 2022/10/30 00:11:10 - mmengine - INFO - Epoch(train) [6][620/660] lr: 9.9791e-03 eta: 18:05:13 time: 1.0249 data_time: 0.0182 memory: 22681 loss: 3.0396 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.0396 2022/10/30 00:11:30 - mmengine - INFO - Epoch(train) [6][640/660] lr: 9.9787e-03 eta: 18:04:43 time: 1.0190 data_time: 0.0186 memory: 22681 loss: 3.1635 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.1635 2022/10/30 00:11:50 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 00:11:50 - mmengine - INFO - Epoch(train) [6][660/660] lr: 9.9783e-03 eta: 18:04:12 time: 1.0172 data_time: 0.0205 memory: 22681 loss: 2.8704 top1_acc: 0.5000 top5_acc: 0.8571 loss_cls: 2.8704 2022/10/30 00:11:50 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/10/30 00:11:54 - mmengine - INFO - Epoch(val) [6][20/194] eta: 0:00:22 time: 0.1290 data_time: 0.0268 memory: 2517 2022/10/30 00:11:56 - mmengine - INFO - Epoch(val) [6][40/194] eta: 0:00:17 time: 0.1108 data_time: 0.0082 memory: 2517 2022/10/30 00:11:58 - mmengine - INFO - Epoch(val) [6][60/194] eta: 0:00:14 time: 0.1108 data_time: 0.0082 memory: 2517 2022/10/30 00:12:01 - mmengine - INFO - Epoch(val) [6][80/194] eta: 0:00:12 time: 0.1107 data_time: 0.0081 memory: 2517 2022/10/30 00:12:03 - mmengine - INFO - Epoch(val) [6][100/194] eta: 0:00:10 time: 0.1101 data_time: 0.0081 memory: 2517 2022/10/30 00:12:05 - mmengine - INFO - Epoch(val) [6][120/194] eta: 0:00:08 time: 0.1089 data_time: 0.0083 memory: 2517 2022/10/30 00:12:07 - mmengine - INFO - Epoch(val) [6][140/194] eta: 0:00:05 time: 0.1093 data_time: 0.0078 memory: 2517 2022/10/30 00:12:09 - mmengine - INFO - Epoch(val) [6][160/194] eta: 0:00:03 time: 0.1084 data_time: 0.0073 memory: 2517 2022/10/30 00:12:11 - mmengine - INFO - Epoch(val) [6][180/194] eta: 0:00:01 time: 0.1080 data_time: 0.0074 memory: 2517 2022/10/30 00:12:14 - mmengine - INFO - Epoch(val) [6][194/194] acc/top1: 0.4972 acc/top5: 0.8080 acc/mean1: 0.3978 2022/10/30 00:12:14 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_5.pth is removed 2022/10/30 00:12:15 - mmengine - INFO - The best checkpoint with 0.4972 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/10/30 00:12:43 - mmengine - INFO - Epoch(train) [7][20/660] lr: 9.9778e-03 eta: 18:05:45 time: 1.4157 data_time: 0.2396 memory: 22681 loss: 2.8607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8607 2022/10/30 00:13:04 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 00:13:04 - mmengine - INFO - Epoch(train) [7][40/660] lr: 9.9774e-03 eta: 18:05:14 time: 1.0176 data_time: 0.0179 memory: 22681 loss: 2.7976 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.7976 2022/10/30 00:13:24 - mmengine - INFO - Epoch(train) [7][60/660] lr: 9.9769e-03 eta: 18:04:43 time: 1.0178 data_time: 0.0182 memory: 22681 loss: 2.8741 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.8741 2022/10/30 00:13:44 - mmengine - INFO - Epoch(train) [7][80/660] lr: 9.9765e-03 eta: 18:04:13 time: 1.0211 data_time: 0.0188 memory: 22681 loss: 2.8901 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.8901 2022/10/30 00:14:05 - mmengine - INFO - Epoch(train) [7][100/660] lr: 9.9760e-03 eta: 18:03:49 time: 1.0404 data_time: 0.0241 memory: 22681 loss: 2.7767 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.7767 2022/10/30 00:14:26 - mmengine - INFO - Epoch(train) [7][120/660] lr: 9.9756e-03 eta: 18:03:19 time: 1.0201 data_time: 0.0185 memory: 22681 loss: 2.8661 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.8661 2022/10/30 00:14:46 - mmengine - INFO - Epoch(train) [7][140/660] lr: 9.9751e-03 eta: 18:02:49 time: 1.0180 data_time: 0.0189 memory: 22681 loss: 2.8104 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8104 2022/10/30 00:15:07 - mmengine - INFO - Epoch(train) [7][160/660] lr: 9.9746e-03 eta: 18:02:21 time: 1.0261 data_time: 0.0188 memory: 22681 loss: 3.1111 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.1111 2022/10/30 00:15:27 - mmengine - INFO - Epoch(train) [7][180/660] lr: 9.9741e-03 eta: 18:01:56 time: 1.0362 data_time: 0.0256 memory: 22681 loss: 2.8350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8350 2022/10/30 00:15:48 - mmengine - INFO - Epoch(train) [7][200/660] lr: 9.9737e-03 eta: 18:01:27 time: 1.0236 data_time: 0.0185 memory: 22681 loss: 2.8634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8634 2022/10/30 00:16:08 - mmengine - INFO - Epoch(train) [7][220/660] lr: 9.9732e-03 eta: 18:00:58 time: 1.0234 data_time: 0.0199 memory: 22681 loss: 2.7994 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.7994 2022/10/30 00:16:29 - mmengine - INFO - Epoch(train) [7][240/660] lr: 9.9727e-03 eta: 18:00:29 time: 1.0208 data_time: 0.0184 memory: 22681 loss: 2.9776 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.9776 2022/10/30 00:16:50 - mmengine - INFO - Epoch(train) [7][260/660] lr: 9.9722e-03 eta: 18:00:07 time: 1.0446 data_time: 0.0290 memory: 22681 loss: 2.7561 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7561 2022/10/30 00:17:10 - mmengine - INFO - Epoch(train) [7][280/660] lr: 9.9717e-03 eta: 17:59:38 time: 1.0233 data_time: 0.0186 memory: 22681 loss: 2.8758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8758 2022/10/30 00:17:30 - mmengine - INFO - Epoch(train) [7][300/660] lr: 9.9712e-03 eta: 17:59:10 time: 1.0226 data_time: 0.0206 memory: 22681 loss: 2.8502 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.8502 2022/10/30 00:17:51 - mmengine - INFO - Epoch(train) [7][320/660] lr: 9.9707e-03 eta: 17:58:41 time: 1.0201 data_time: 0.0182 memory: 22681 loss: 2.6634 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6634 2022/10/30 00:18:12 - mmengine - INFO - Epoch(train) [7][340/660] lr: 9.9702e-03 eta: 17:58:16 time: 1.0358 data_time: 0.0251 memory: 22681 loss: 2.7471 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7471 2022/10/30 00:18:32 - mmengine - INFO - Epoch(train) [7][360/660] lr: 9.9697e-03 eta: 17:57:48 time: 1.0247 data_time: 0.0189 memory: 22681 loss: 2.8639 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8639 2022/10/30 00:18:52 - mmengine - INFO - Epoch(train) [7][380/660] lr: 9.9691e-03 eta: 17:57:19 time: 1.0188 data_time: 0.0182 memory: 22681 loss: 2.9077 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.9077 2022/10/30 00:19:13 - mmengine - INFO - Epoch(train) [7][400/660] lr: 9.9686e-03 eta: 17:56:50 time: 1.0209 data_time: 0.0178 memory: 22681 loss: 2.8050 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8050 2022/10/30 00:19:34 - mmengine - INFO - Epoch(train) [7][420/660] lr: 9.9681e-03 eta: 17:56:28 time: 1.0429 data_time: 0.0232 memory: 22681 loss: 2.6818 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.6818 2022/10/30 00:19:54 - mmengine - INFO - Epoch(train) [7][440/660] lr: 9.9676e-03 eta: 17:56:01 time: 1.0284 data_time: 0.0179 memory: 22681 loss: 2.9084 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9084 2022/10/30 00:20:15 - mmengine - INFO - Epoch(train) [7][460/660] lr: 9.9670e-03 eta: 17:55:32 time: 1.0193 data_time: 0.0177 memory: 22681 loss: 2.7884 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.7884 2022/10/30 00:20:35 - mmengine - INFO - Epoch(train) [7][480/660] lr: 9.9665e-03 eta: 17:55:04 time: 1.0210 data_time: 0.0185 memory: 22681 loss: 2.8156 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.8156 2022/10/30 00:20:56 - mmengine - INFO - Epoch(train) [7][500/660] lr: 9.9659e-03 eta: 17:54:41 time: 1.0421 data_time: 0.0220 memory: 22681 loss: 2.9091 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.9091 2022/10/30 00:21:16 - mmengine - INFO - Epoch(train) [7][520/660] lr: 9.9654e-03 eta: 17:54:14 time: 1.0248 data_time: 0.0177 memory: 22681 loss: 2.8633 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.8633 2022/10/30 00:21:37 - mmengine - INFO - Epoch(train) [7][540/660] lr: 9.9648e-03 eta: 17:53:45 time: 1.0201 data_time: 0.0176 memory: 22681 loss: 2.8133 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.8133 2022/10/30 00:21:57 - mmengine - INFO - Epoch(train) [7][560/660] lr: 9.9643e-03 eta: 17:53:18 time: 1.0230 data_time: 0.0185 memory: 22681 loss: 2.9970 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9970 2022/10/30 00:22:18 - mmengine - INFO - Epoch(train) [7][580/660] lr: 9.9637e-03 eta: 17:52:55 time: 1.0406 data_time: 0.0190 memory: 22681 loss: 2.7817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7817 2022/10/30 00:22:39 - mmengine - INFO - Epoch(train) [7][600/660] lr: 9.9631e-03 eta: 17:52:28 time: 1.0269 data_time: 0.0210 memory: 22681 loss: 2.8224 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.8224 2022/10/30 00:22:59 - mmengine - INFO - Epoch(train) [7][620/660] lr: 9.9626e-03 eta: 17:52:02 time: 1.0285 data_time: 0.0180 memory: 22681 loss: 2.7698 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7698 2022/10/30 00:23:20 - mmengine - INFO - Epoch(train) [7][640/660] lr: 9.9620e-03 eta: 17:51:34 time: 1.0202 data_time: 0.0185 memory: 22681 loss: 2.8399 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 2.8399 2022/10/30 00:23:40 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 00:23:40 - mmengine - INFO - Epoch(train) [7][660/660] lr: 9.9614e-03 eta: 17:51:04 time: 1.0140 data_time: 0.0196 memory: 22681 loss: 2.9483 top1_acc: 0.2857 top5_acc: 0.6429 loss_cls: 2.9483 2022/10/30 00:23:43 - mmengine - INFO - Epoch(val) [7][20/194] eta: 0:00:23 time: 0.1365 data_time: 0.0344 memory: 2517 2022/10/30 00:23:45 - mmengine - INFO - Epoch(val) [7][40/194] eta: 0:00:16 time: 0.1091 data_time: 0.0075 memory: 2517 2022/10/30 00:23:47 - mmengine - INFO - Epoch(val) [7][60/194] eta: 0:00:14 time: 0.1096 data_time: 0.0078 memory: 2517 2022/10/30 00:23:49 - mmengine - INFO - Epoch(val) [7][80/194] eta: 0:00:12 time: 0.1100 data_time: 0.0082 memory: 2517 2022/10/30 00:23:51 - mmengine - INFO - Epoch(val) [7][100/194] eta: 0:00:10 time: 0.1095 data_time: 0.0080 memory: 2517 2022/10/30 00:23:54 - mmengine - INFO - Epoch(val) [7][120/194] eta: 0:00:08 time: 0.1096 data_time: 0.0081 memory: 2517 2022/10/30 00:23:56 - mmengine - INFO - Epoch(val) [7][140/194] eta: 0:00:05 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 00:23:58 - mmengine - INFO - Epoch(val) [7][160/194] eta: 0:00:03 time: 0.1097 data_time: 0.0079 memory: 2517 2022/10/30 00:24:00 - mmengine - INFO - Epoch(val) [7][180/194] eta: 0:00:01 time: 0.1089 data_time: 0.0076 memory: 2517 2022/10/30 00:24:03 - mmengine - INFO - Epoch(val) [7][194/194] acc/top1: 0.5225 acc/top5: 0.8232 acc/mean1: 0.4276 2022/10/30 00:24:03 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_6.pth is removed 2022/10/30 00:24:04 - mmengine - INFO - The best checkpoint with 0.5225 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/10/30 00:24:32 - mmengine - INFO - Epoch(train) [8][20/660] lr: 9.9608e-03 eta: 17:52:11 time: 1.3764 data_time: 0.2632 memory: 22681 loss: 2.8311 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.8311 2022/10/30 00:24:52 - mmengine - INFO - Epoch(train) [8][40/660] lr: 9.9602e-03 eta: 17:51:43 time: 1.0228 data_time: 0.0189 memory: 22681 loss: 2.8093 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.8093 2022/10/30 00:25:13 - mmengine - INFO - Epoch(train) [8][60/660] lr: 9.9596e-03 eta: 17:51:15 time: 1.0222 data_time: 0.0185 memory: 22681 loss: 2.8139 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8139 2022/10/30 00:25:33 - mmengine - INFO - Epoch(train) [8][80/660] lr: 9.9590e-03 eta: 17:50:48 time: 1.0240 data_time: 0.0183 memory: 22681 loss: 2.8428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8428 2022/10/30 00:25:54 - mmengine - INFO - Epoch(train) [8][100/660] lr: 9.9584e-03 eta: 17:50:24 time: 1.0375 data_time: 0.0214 memory: 22681 loss: 2.7581 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.7581 2022/10/30 00:26:15 - mmengine - INFO - Epoch(train) [8][120/660] lr: 9.9578e-03 eta: 17:50:00 time: 1.0338 data_time: 0.0189 memory: 22681 loss: 2.8090 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8090 2022/10/30 00:26:35 - mmengine - INFO - Epoch(train) [8][140/660] lr: 9.9572e-03 eta: 17:49:33 time: 1.0254 data_time: 0.0175 memory: 22681 loss: 2.9725 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.9725 2022/10/30 00:26:56 - mmengine - INFO - Epoch(train) [8][160/660] lr: 9.9566e-03 eta: 17:49:06 time: 1.0250 data_time: 0.0177 memory: 22681 loss: 2.8205 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8205 2022/10/30 00:27:16 - mmengine - INFO - Epoch(train) [8][180/660] lr: 9.9560e-03 eta: 17:48:43 time: 1.0395 data_time: 0.0228 memory: 22681 loss: 2.7410 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7410 2022/10/30 00:27:37 - mmengine - INFO - Epoch(train) [8][200/660] lr: 9.9553e-03 eta: 17:48:20 time: 1.0417 data_time: 0.0228 memory: 22681 loss: 2.7892 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7892 2022/10/30 00:27:58 - mmengine - INFO - Epoch(train) [8][220/660] lr: 9.9547e-03 eta: 17:47:54 time: 1.0277 data_time: 0.0181 memory: 22681 loss: 2.9160 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9160 2022/10/30 00:28:18 - mmengine - INFO - Epoch(train) [8][240/660] lr: 9.9541e-03 eta: 17:47:29 time: 1.0293 data_time: 0.0196 memory: 22681 loss: 2.7876 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.7876 2022/10/30 00:28:39 - mmengine - INFO - Epoch(train) [8][260/660] lr: 9.9534e-03 eta: 17:47:06 time: 1.0422 data_time: 0.0221 memory: 22681 loss: 2.8652 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.8652 2022/10/30 00:29:00 - mmengine - INFO - Epoch(train) [8][280/660] lr: 9.9528e-03 eta: 17:46:43 time: 1.0367 data_time: 0.0192 memory: 22681 loss: 2.7543 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.7543 2022/10/30 00:29:20 - mmengine - INFO - Epoch(train) [8][300/660] lr: 9.9521e-03 eta: 17:46:17 time: 1.0284 data_time: 0.0186 memory: 22681 loss: 2.7858 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7858 2022/10/30 00:29:41 - mmengine - INFO - Epoch(train) [8][320/660] lr: 9.9515e-03 eta: 17:45:51 time: 1.0277 data_time: 0.0186 memory: 22681 loss: 2.5878 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.5878 2022/10/30 00:30:02 - mmengine - INFO - Epoch(train) [8][340/660] lr: 9.9508e-03 eta: 17:45:29 time: 1.0416 data_time: 0.0229 memory: 22681 loss: 2.9258 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.9258 2022/10/30 00:30:23 - mmengine - INFO - Epoch(train) [8][360/660] lr: 9.9502e-03 eta: 17:45:06 time: 1.0384 data_time: 0.0193 memory: 22681 loss: 2.8871 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8871 2022/10/30 00:30:43 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 00:30:43 - mmengine - INFO - Epoch(train) [8][380/660] lr: 9.9495e-03 eta: 17:44:41 time: 1.0328 data_time: 0.0191 memory: 22681 loss: 2.7452 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7452 2022/10/30 00:31:04 - mmengine - INFO - Epoch(train) [8][400/660] lr: 9.9488e-03 eta: 17:44:16 time: 1.0296 data_time: 0.0212 memory: 22681 loss: 2.8774 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.8774 2022/10/30 00:31:25 - mmengine - INFO - Epoch(train) [8][420/660] lr: 9.9481e-03 eta: 17:43:53 time: 1.0364 data_time: 0.0211 memory: 22681 loss: 2.8510 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.8510 2022/10/30 00:31:45 - mmengine - INFO - Epoch(train) [8][440/660] lr: 9.9475e-03 eta: 17:43:29 time: 1.0357 data_time: 0.0176 memory: 22681 loss: 2.8302 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8302 2022/10/30 00:32:06 - mmengine - INFO - Epoch(train) [8][460/660] lr: 9.9468e-03 eta: 17:43:03 time: 1.0267 data_time: 0.0175 memory: 22681 loss: 2.7761 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.7761 2022/10/30 00:32:26 - mmengine - INFO - Epoch(train) [8][480/660] lr: 9.9461e-03 eta: 17:42:37 time: 1.0242 data_time: 0.0183 memory: 22681 loss: 2.8353 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.8353 2022/10/30 00:32:47 - mmengine - INFO - Epoch(train) [8][500/660] lr: 9.9454e-03 eta: 17:42:14 time: 1.0411 data_time: 0.0233 memory: 22681 loss: 2.6194 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6194 2022/10/30 00:33:08 - mmengine - INFO - Epoch(train) [8][520/660] lr: 9.9447e-03 eta: 17:41:50 time: 1.0334 data_time: 0.0189 memory: 22681 loss: 2.7664 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7664 2022/10/30 00:33:28 - mmengine - INFO - Epoch(train) [8][540/660] lr: 9.9440e-03 eta: 17:41:25 time: 1.0289 data_time: 0.0185 memory: 22681 loss: 2.8426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8426 2022/10/30 00:33:49 - mmengine - INFO - Epoch(train) [8][560/660] lr: 9.9433e-03 eta: 17:40:59 time: 1.0269 data_time: 0.0187 memory: 22681 loss: 2.8493 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.8493 2022/10/30 00:34:10 - mmengine - INFO - Epoch(train) [8][580/660] lr: 9.9426e-03 eta: 17:40:37 time: 1.0394 data_time: 0.0227 memory: 22681 loss: 2.7044 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.7044 2022/10/30 00:34:30 - mmengine - INFO - Epoch(train) [8][600/660] lr: 9.9419e-03 eta: 17:40:13 time: 1.0323 data_time: 0.0193 memory: 22681 loss: 2.5824 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5824 2022/10/30 00:34:51 - mmengine - INFO - Epoch(train) [8][620/660] lr: 9.9412e-03 eta: 17:39:47 time: 1.0287 data_time: 0.0186 memory: 22681 loss: 2.9130 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9130 2022/10/30 00:35:11 - mmengine - INFO - Epoch(train) [8][640/660] lr: 9.9404e-03 eta: 17:39:21 time: 1.0235 data_time: 0.0187 memory: 22681 loss: 2.6583 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6583 2022/10/30 00:35:32 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 00:35:32 - mmengine - INFO - Epoch(train) [8][660/660] lr: 9.9397e-03 eta: 17:38:52 time: 1.0128 data_time: 0.0191 memory: 22681 loss: 2.6050 top1_acc: 0.6429 top5_acc: 0.8571 loss_cls: 2.6050 2022/10/30 00:35:35 - mmengine - INFO - Epoch(val) [8][20/194] eta: 0:00:24 time: 0.1430 data_time: 0.0401 memory: 2517 2022/10/30 00:35:37 - mmengine - INFO - Epoch(val) [8][40/194] eta: 0:00:16 time: 0.1097 data_time: 0.0083 memory: 2517 2022/10/30 00:35:39 - mmengine - INFO - Epoch(val) [8][60/194] eta: 0:00:14 time: 0.1096 data_time: 0.0082 memory: 2517 2022/10/30 00:35:41 - mmengine - INFO - Epoch(val) [8][80/194] eta: 0:00:12 time: 0.1087 data_time: 0.0075 memory: 2517 2022/10/30 00:35:43 - mmengine - INFO - Epoch(val) [8][100/194] eta: 0:00:10 time: 0.1082 data_time: 0.0074 memory: 2517 2022/10/30 00:35:45 - mmengine - INFO - Epoch(val) [8][120/194] eta: 0:00:08 time: 0.1085 data_time: 0.0073 memory: 2517 2022/10/30 00:35:48 - mmengine - INFO - Epoch(val) [8][140/194] eta: 0:00:05 time: 0.1095 data_time: 0.0081 memory: 2517 2022/10/30 00:35:50 - mmengine - INFO - Epoch(val) [8][160/194] eta: 0:00:03 time: 0.1088 data_time: 0.0076 memory: 2517 2022/10/30 00:35:52 - mmengine - INFO - Epoch(val) [8][180/194] eta: 0:00:01 time: 0.1088 data_time: 0.0079 memory: 2517 2022/10/30 00:35:54 - mmengine - INFO - Epoch(val) [8][194/194] acc/top1: 0.5367 acc/top5: 0.8304 acc/mean1: 0.4408 2022/10/30 00:35:54 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_7.pth is removed 2022/10/30 00:35:56 - mmengine - INFO - The best checkpoint with 0.5367 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2022/10/30 00:36:24 - mmengine - INFO - Epoch(train) [9][20/660] lr: 9.9390e-03 eta: 17:39:53 time: 1.4033 data_time: 0.3142 memory: 22681 loss: 2.8376 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.8376 2022/10/30 00:36:44 - mmengine - INFO - Epoch(train) [9][40/660] lr: 9.9382e-03 eta: 17:39:27 time: 1.0224 data_time: 0.0192 memory: 22681 loss: 2.8366 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.8366 2022/10/30 00:37:05 - mmengine - INFO - Epoch(train) [9][60/660] lr: 9.9375e-03 eta: 17:39:01 time: 1.0259 data_time: 0.0180 memory: 22681 loss: 2.7510 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7510 2022/10/30 00:37:25 - mmengine - INFO - Epoch(train) [9][80/660] lr: 9.9368e-03 eta: 17:38:35 time: 1.0263 data_time: 0.0179 memory: 22681 loss: 2.8068 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.8068 2022/10/30 00:37:46 - mmengine - INFO - Epoch(train) [9][100/660] lr: 9.9360e-03 eta: 17:38:14 time: 1.0473 data_time: 0.0271 memory: 22681 loss: 2.7486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7486 2022/10/30 00:38:07 - mmengine - INFO - Epoch(train) [9][120/660] lr: 9.9353e-03 eta: 17:37:50 time: 1.0347 data_time: 0.0186 memory: 22681 loss: 2.8616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8616 2022/10/30 00:38:28 - mmengine - INFO - Epoch(train) [9][140/660] lr: 9.9345e-03 eta: 17:37:25 time: 1.0271 data_time: 0.0178 memory: 22681 loss: 2.6965 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6965 2022/10/30 00:38:48 - mmengine - INFO - Epoch(train) [9][160/660] lr: 9.9337e-03 eta: 17:36:59 time: 1.0268 data_time: 0.0176 memory: 22681 loss: 2.6899 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6899 2022/10/30 00:39:09 - mmengine - INFO - Epoch(train) [9][180/660] lr: 9.9330e-03 eta: 17:36:37 time: 1.0405 data_time: 0.0220 memory: 22681 loss: 2.7259 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7259 2022/10/30 00:39:30 - mmengine - INFO - Epoch(train) [9][200/660] lr: 9.9322e-03 eta: 17:36:12 time: 1.0296 data_time: 0.0174 memory: 22681 loss: 2.5405 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5405 2022/10/30 00:39:50 - mmengine - INFO - Epoch(train) [9][220/660] lr: 9.9314e-03 eta: 17:35:47 time: 1.0267 data_time: 0.0179 memory: 22681 loss: 2.8116 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.8116 2022/10/30 00:40:11 - mmengine - INFO - Epoch(train) [9][240/660] lr: 9.9306e-03 eta: 17:35:21 time: 1.0253 data_time: 0.0183 memory: 22681 loss: 2.6911 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6911 2022/10/30 00:40:31 - mmengine - INFO - Epoch(train) [9][260/660] lr: 9.9299e-03 eta: 17:34:58 time: 1.0403 data_time: 0.0212 memory: 22681 loss: 2.7074 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7074 2022/10/30 00:40:52 - mmengine - INFO - Epoch(train) [9][280/660] lr: 9.9291e-03 eta: 17:34:34 time: 1.0326 data_time: 0.0178 memory: 22681 loss: 2.5939 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5939 2022/10/30 00:41:13 - mmengine - INFO - Epoch(train) [9][300/660] lr: 9.9283e-03 eta: 17:34:09 time: 1.0256 data_time: 0.0186 memory: 22681 loss: 2.6244 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6244 2022/10/30 00:41:33 - mmengine - INFO - Epoch(train) [9][320/660] lr: 9.9275e-03 eta: 17:33:43 time: 1.0262 data_time: 0.0183 memory: 22681 loss: 2.7717 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7717 2022/10/30 00:41:54 - mmengine - INFO - Epoch(train) [9][340/660] lr: 9.9267e-03 eta: 17:33:21 time: 1.0411 data_time: 0.0200 memory: 22681 loss: 2.6942 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6942 2022/10/30 00:42:15 - mmengine - INFO - Epoch(train) [9][360/660] lr: 9.9259e-03 eta: 17:32:56 time: 1.0280 data_time: 0.0171 memory: 22681 loss: 2.6954 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6954 2022/10/30 00:42:35 - mmengine - INFO - Epoch(train) [9][380/660] lr: 9.9251e-03 eta: 17:32:31 time: 1.0244 data_time: 0.0177 memory: 22681 loss: 2.7426 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.7426 2022/10/30 00:42:56 - mmengine - INFO - Epoch(train) [9][400/660] lr: 9.9242e-03 eta: 17:32:05 time: 1.0263 data_time: 0.0186 memory: 22681 loss: 2.5762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5762 2022/10/30 00:43:16 - mmengine - INFO - Epoch(train) [9][420/660] lr: 9.9234e-03 eta: 17:31:43 time: 1.0399 data_time: 0.0222 memory: 22681 loss: 2.6864 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6864 2022/10/30 00:43:37 - mmengine - INFO - Epoch(train) [9][440/660] lr: 9.9226e-03 eta: 17:31:21 time: 1.0389 data_time: 0.0185 memory: 22681 loss: 2.8162 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.8162 2022/10/30 00:43:58 - mmengine - INFO - Epoch(train) [9][460/660] lr: 9.9218e-03 eta: 17:30:56 time: 1.0288 data_time: 0.0183 memory: 22681 loss: 2.5306 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5306 2022/10/30 00:44:18 - mmengine - INFO - Epoch(train) [9][480/660] lr: 9.9209e-03 eta: 17:30:32 time: 1.0309 data_time: 0.0199 memory: 22681 loss: 2.6911 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6911 2022/10/30 00:44:39 - mmengine - INFO - Epoch(train) [9][500/660] lr: 9.9201e-03 eta: 17:30:10 time: 1.0446 data_time: 0.0207 memory: 22681 loss: 2.6177 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.6177 2022/10/30 00:45:00 - mmengine - INFO - Epoch(train) [9][520/660] lr: 9.9193e-03 eta: 17:29:47 time: 1.0356 data_time: 0.0188 memory: 22681 loss: 2.6542 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6542 2022/10/30 00:45:21 - mmengine - INFO - Epoch(train) [9][540/660] lr: 9.9184e-03 eta: 17:29:23 time: 1.0310 data_time: 0.0184 memory: 22681 loss: 2.5395 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5395 2022/10/30 00:45:41 - mmengine - INFO - Epoch(train) [9][560/660] lr: 9.9176e-03 eta: 17:28:59 time: 1.0280 data_time: 0.0185 memory: 22681 loss: 2.7843 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7843 2022/10/30 00:46:02 - mmengine - INFO - Epoch(train) [9][580/660] lr: 9.9167e-03 eta: 17:28:37 time: 1.0431 data_time: 0.0212 memory: 22681 loss: 2.6674 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6674 2022/10/30 00:46:23 - mmengine - INFO - Epoch(train) [9][600/660] lr: 9.9159e-03 eta: 17:28:13 time: 1.0336 data_time: 0.0188 memory: 22681 loss: 2.6943 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6943 2022/10/30 00:46:43 - mmengine - INFO - Epoch(train) [9][620/660] lr: 9.9150e-03 eta: 17:27:50 time: 1.0323 data_time: 0.0189 memory: 22681 loss: 2.6457 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6457 2022/10/30 00:47:04 - mmengine - INFO - Epoch(train) [9][640/660] lr: 9.9141e-03 eta: 17:27:25 time: 1.0292 data_time: 0.0188 memory: 22681 loss: 2.7301 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.7301 2022/10/30 00:47:24 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 00:47:24 - mmengine - INFO - Epoch(train) [9][660/660] lr: 9.9133e-03 eta: 17:26:59 time: 1.0201 data_time: 0.0199 memory: 22681 loss: 2.9195 top1_acc: 0.3571 top5_acc: 0.7143 loss_cls: 2.9195 2022/10/30 00:47:24 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/10/30 00:47:28 - mmengine - INFO - Epoch(val) [9][20/194] eta: 0:00:22 time: 0.1282 data_time: 0.0275 memory: 2517 2022/10/30 00:47:30 - mmengine - INFO - Epoch(val) [9][40/194] eta: 0:00:16 time: 0.1090 data_time: 0.0080 memory: 2517 2022/10/30 00:47:32 - mmengine - INFO - Epoch(val) [9][60/194] eta: 0:00:14 time: 0.1108 data_time: 0.0086 memory: 2517 2022/10/30 00:47:35 - mmengine - INFO - Epoch(val) [9][80/194] eta: 0:00:12 time: 0.1094 data_time: 0.0082 memory: 2517 2022/10/30 00:47:37 - mmengine - INFO - Epoch(val) [9][100/194] eta: 0:00:10 time: 0.1081 data_time: 0.0074 memory: 2517 2022/10/30 00:47:39 - mmengine - INFO - Epoch(val) [9][120/194] eta: 0:00:07 time: 0.1077 data_time: 0.0073 memory: 2517 2022/10/30 00:47:41 - mmengine - INFO - Epoch(val) [9][140/194] eta: 0:00:05 time: 0.1078 data_time: 0.0071 memory: 2517 2022/10/30 00:47:43 - mmengine - INFO - Epoch(val) [9][160/194] eta: 0:00:03 time: 0.1088 data_time: 0.0076 memory: 2517 2022/10/30 00:47:45 - mmengine - INFO - Epoch(val) [9][180/194] eta: 0:00:01 time: 0.1077 data_time: 0.0072 memory: 2517 2022/10/30 00:47:48 - mmengine - INFO - Epoch(val) [9][194/194] acc/top1: 0.5517 acc/top5: 0.8411 acc/mean1: 0.4542 2022/10/30 00:47:48 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_8.pth is removed 2022/10/30 00:47:49 - mmengine - INFO - The best checkpoint with 0.5517 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/10/30 00:48:16 - mmengine - INFO - Epoch(train) [10][20/660] lr: 9.9124e-03 eta: 17:27:38 time: 1.3444 data_time: 0.2261 memory: 22681 loss: 2.6487 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6487 2022/10/30 00:48:37 - mmengine - INFO - Epoch(train) [10][40/660] lr: 9.9115e-03 eta: 17:27:12 time: 1.0216 data_time: 0.0205 memory: 22681 loss: 2.6013 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6013 2022/10/30 00:48:57 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 00:48:57 - mmengine - INFO - Epoch(train) [10][60/660] lr: 9.9106e-03 eta: 17:26:46 time: 1.0205 data_time: 0.0177 memory: 22681 loss: 2.7525 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.7525 2022/10/30 00:49:17 - mmengine - INFO - Epoch(train) [10][80/660] lr: 9.9097e-03 eta: 17:26:20 time: 1.0230 data_time: 0.0183 memory: 22681 loss: 2.7504 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 2.7504 2022/10/30 00:49:38 - mmengine - INFO - Epoch(train) [10][100/660] lr: 9.9088e-03 eta: 17:25:58 time: 1.0412 data_time: 0.0201 memory: 22681 loss: 2.7132 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7132 2022/10/30 00:49:59 - mmengine - INFO - Epoch(train) [10][120/660] lr: 9.9079e-03 eta: 17:25:34 time: 1.0298 data_time: 0.0221 memory: 22681 loss: 2.8030 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.8030 2022/10/30 00:50:19 - mmengine - INFO - Epoch(train) [10][140/660] lr: 9.9070e-03 eta: 17:25:09 time: 1.0229 data_time: 0.0176 memory: 22681 loss: 2.6780 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6780 2022/10/30 00:50:40 - mmengine - INFO - Epoch(train) [10][160/660] lr: 9.9061e-03 eta: 17:24:43 time: 1.0204 data_time: 0.0180 memory: 22681 loss: 2.8934 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.8934 2022/10/30 00:51:00 - mmengine - INFO - Epoch(train) [10][180/660] lr: 9.9052e-03 eta: 17:24:20 time: 1.0375 data_time: 0.0195 memory: 22681 loss: 2.6881 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.6881 2022/10/30 00:51:21 - mmengine - INFO - Epoch(train) [10][200/660] lr: 9.9043e-03 eta: 17:23:55 time: 1.0289 data_time: 0.0213 memory: 22681 loss: 2.5899 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5899 2022/10/30 00:51:42 - mmengine - INFO - Epoch(train) [10][220/660] lr: 9.9034e-03 eta: 17:23:30 time: 1.0239 data_time: 0.0178 memory: 22681 loss: 2.5798 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5798 2022/10/30 00:52:02 - mmengine - INFO - Epoch(train) [10][240/660] lr: 9.9025e-03 eta: 17:23:04 time: 1.0213 data_time: 0.0173 memory: 22681 loss: 2.5223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5223 2022/10/30 00:52:23 - mmengine - INFO - Epoch(train) [10][260/660] lr: 9.9015e-03 eta: 17:22:42 time: 1.0396 data_time: 0.0199 memory: 22681 loss: 2.6726 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.6726 2022/10/30 00:52:43 - mmengine - INFO - Epoch(train) [10][280/660] lr: 9.9006e-03 eta: 17:22:18 time: 1.0312 data_time: 0.0223 memory: 22681 loss: 2.7700 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7700 2022/10/30 00:53:04 - mmengine - INFO - Epoch(train) [10][300/660] lr: 9.8997e-03 eta: 17:21:54 time: 1.0279 data_time: 0.0184 memory: 22681 loss: 2.6858 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.6858 2022/10/30 00:53:25 - mmengine - INFO - Epoch(train) [10][320/660] lr: 9.8987e-03 eta: 17:21:30 time: 1.0280 data_time: 0.0178 memory: 22681 loss: 2.6742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.6742 2022/10/30 00:53:45 - mmengine - INFO - Epoch(train) [10][340/660] lr: 9.8978e-03 eta: 17:21:08 time: 1.0414 data_time: 0.0193 memory: 22681 loss: 2.6598 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6598 2022/10/30 00:54:06 - mmengine - INFO - Epoch(train) [10][360/660] lr: 9.8968e-03 eta: 17:20:45 time: 1.0344 data_time: 0.0221 memory: 22681 loss: 2.8297 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.8297 2022/10/30 00:54:27 - mmengine - INFO - Epoch(train) [10][380/660] lr: 9.8959e-03 eta: 17:20:20 time: 1.0267 data_time: 0.0177 memory: 22681 loss: 2.7579 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.7579 2022/10/30 00:54:47 - mmengine - INFO - Epoch(train) [10][400/660] lr: 9.8949e-03 eta: 17:19:56 time: 1.0283 data_time: 0.0179 memory: 22681 loss: 2.7011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7011 2022/10/30 00:55:08 - mmengine - INFO - Epoch(train) [10][420/660] lr: 9.8939e-03 eta: 17:19:35 time: 1.0446 data_time: 0.0190 memory: 22681 loss: 2.7180 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.7180 2022/10/30 00:55:29 - mmengine - INFO - Epoch(train) [10][440/660] lr: 9.8930e-03 eta: 17:19:13 time: 1.0416 data_time: 0.0215 memory: 22681 loss: 2.6561 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.6561 2022/10/30 00:55:49 - mmengine - INFO - Epoch(train) [10][460/660] lr: 9.8920e-03 eta: 17:18:49 time: 1.0299 data_time: 0.0175 memory: 22681 loss: 2.6252 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.6252 2022/10/30 00:56:10 - mmengine - INFO - Epoch(train) [10][480/660] lr: 9.8910e-03 eta: 17:18:25 time: 1.0290 data_time: 0.0173 memory: 22681 loss: 2.8291 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.8291 2022/10/30 00:56:31 - mmengine - INFO - Epoch(train) [10][500/660] lr: 9.8900e-03 eta: 17:18:04 time: 1.0434 data_time: 0.0199 memory: 22681 loss: 2.7009 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.7009 2022/10/30 00:56:52 - mmengine - INFO - Epoch(train) [10][520/660] lr: 9.8891e-03 eta: 17:17:41 time: 1.0385 data_time: 0.0212 memory: 22681 loss: 2.6903 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6903 2022/10/30 00:57:12 - mmengine - INFO - Epoch(train) [10][540/660] lr: 9.8881e-03 eta: 17:17:18 time: 1.0323 data_time: 0.0174 memory: 22681 loss: 2.6713 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6713 2022/10/30 00:57:33 - mmengine - INFO - Epoch(train) [10][560/660] lr: 9.8871e-03 eta: 17:16:54 time: 1.0266 data_time: 0.0166 memory: 22681 loss: 2.5617 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.5617 2022/10/30 00:57:54 - mmengine - INFO - Epoch(train) [10][580/660] lr: 9.8861e-03 eta: 17:16:33 time: 1.0475 data_time: 0.0182 memory: 22681 loss: 2.6329 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6329 2022/10/30 00:58:15 - mmengine - INFO - Epoch(train) [10][600/660] lr: 9.8851e-03 eta: 17:16:10 time: 1.0354 data_time: 0.0219 memory: 22681 loss: 2.6550 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6550 2022/10/30 00:58:35 - mmengine - INFO - Epoch(train) [10][620/660] lr: 9.8841e-03 eta: 17:15:47 time: 1.0325 data_time: 0.0179 memory: 22681 loss: 2.7256 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7256 2022/10/30 00:58:56 - mmengine - INFO - Epoch(train) [10][640/660] lr: 9.8831e-03 eta: 17:15:23 time: 1.0253 data_time: 0.0183 memory: 22681 loss: 2.6740 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6740 2022/10/30 00:59:16 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 00:59:16 - mmengine - INFO - Epoch(train) [10][660/660] lr: 9.8820e-03 eta: 17:14:57 time: 1.0186 data_time: 0.0199 memory: 22681 loss: 2.6128 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.6128 2022/10/30 00:59:19 - mmengine - INFO - Epoch(val) [10][20/194] eta: 0:00:23 time: 0.1362 data_time: 0.0334 memory: 2517 2022/10/30 00:59:21 - mmengine - INFO - Epoch(val) [10][40/194] eta: 0:00:16 time: 0.1088 data_time: 0.0076 memory: 2517 2022/10/30 00:59:23 - mmengine - INFO - Epoch(val) [10][60/194] eta: 0:00:14 time: 0.1087 data_time: 0.0079 memory: 2517 2022/10/30 00:59:25 - mmengine - INFO - Epoch(val) [10][80/194] eta: 0:00:12 time: 0.1103 data_time: 0.0095 memory: 2517 2022/10/30 00:59:28 - mmengine - INFO - Epoch(val) [10][100/194] eta: 0:00:10 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 00:59:30 - mmengine - INFO - Epoch(val) [10][120/194] eta: 0:00:07 time: 0.1081 data_time: 0.0073 memory: 2517 2022/10/30 00:59:32 - mmengine - INFO - Epoch(val) [10][140/194] eta: 0:00:05 time: 0.1088 data_time: 0.0078 memory: 2517 2022/10/30 00:59:34 - mmengine - INFO - Epoch(val) [10][160/194] eta: 0:00:03 time: 0.1085 data_time: 0.0075 memory: 2517 2022/10/30 00:59:36 - mmengine - INFO - Epoch(val) [10][180/194] eta: 0:00:01 time: 0.1083 data_time: 0.0074 memory: 2517 2022/10/30 00:59:39 - mmengine - INFO - Epoch(val) [10][194/194] acc/top1: 0.5606 acc/top5: 0.8479 acc/mean1: 0.4691 2022/10/30 00:59:39 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_9.pth is removed 2022/10/30 00:59:40 - mmengine - INFO - The best checkpoint with 0.5606 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/10/30 01:00:08 - mmengine - INFO - Epoch(train) [11][20/660] lr: 9.8810e-03 eta: 17:15:40 time: 1.4005 data_time: 0.3037 memory: 22681 loss: 2.6037 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.6037 2022/10/30 01:00:29 - mmengine - INFO - Epoch(train) [11][40/660] lr: 9.8800e-03 eta: 17:15:14 time: 1.0194 data_time: 0.0179 memory: 22681 loss: 2.5802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5802 2022/10/30 01:00:49 - mmengine - INFO - Epoch(train) [11][60/660] lr: 9.8790e-03 eta: 17:14:49 time: 1.0225 data_time: 0.0183 memory: 22681 loss: 2.5879 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5879 2022/10/30 01:01:10 - mmengine - INFO - Epoch(train) [11][80/660] lr: 9.8779e-03 eta: 17:14:23 time: 1.0204 data_time: 0.0184 memory: 22681 loss: 2.6368 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6368 2022/10/30 01:01:30 - mmengine - INFO - Epoch(train) [11][100/660] lr: 9.8769e-03 eta: 17:14:00 time: 1.0333 data_time: 0.0228 memory: 22681 loss: 2.6374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6374 2022/10/30 01:01:51 - mmengine - INFO - Epoch(train) [11][120/660] lr: 9.8759e-03 eta: 17:13:36 time: 1.0284 data_time: 0.0174 memory: 22681 loss: 2.6862 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6862 2022/10/30 01:02:11 - mmengine - INFO - Epoch(train) [11][140/660] lr: 9.8748e-03 eta: 17:13:11 time: 1.0241 data_time: 0.0173 memory: 22681 loss: 2.6881 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6881 2022/10/30 01:02:32 - mmengine - INFO - Epoch(train) [11][160/660] lr: 9.8738e-03 eta: 17:12:46 time: 1.0233 data_time: 0.0175 memory: 22681 loss: 2.6738 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6738 2022/10/30 01:02:53 - mmengine - INFO - Epoch(train) [11][180/660] lr: 9.8727e-03 eta: 17:12:24 time: 1.0383 data_time: 0.0231 memory: 22681 loss: 2.7187 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.7187 2022/10/30 01:03:13 - mmengine - INFO - Epoch(train) [11][200/660] lr: 9.8717e-03 eta: 17:12:00 time: 1.0271 data_time: 0.0172 memory: 22681 loss: 2.8075 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.8075 2022/10/30 01:03:34 - mmengine - INFO - Epoch(train) [11][220/660] lr: 9.8706e-03 eta: 17:11:35 time: 1.0248 data_time: 0.0173 memory: 22681 loss: 2.6263 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6263 2022/10/30 01:03:54 - mmengine - INFO - Epoch(train) [11][240/660] lr: 9.8695e-03 eta: 17:11:11 time: 1.0263 data_time: 0.0175 memory: 22681 loss: 2.8129 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.8129 2022/10/30 01:04:15 - mmengine - INFO - Epoch(train) [11][260/660] lr: 9.8685e-03 eta: 17:10:49 time: 1.0392 data_time: 0.0222 memory: 22681 loss: 2.6461 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.6461 2022/10/30 01:04:35 - mmengine - INFO - Epoch(train) [11][280/660] lr: 9.8674e-03 eta: 17:10:25 time: 1.0297 data_time: 0.0181 memory: 22681 loss: 2.6472 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.6472 2022/10/30 01:04:56 - mmengine - INFO - Epoch(train) [11][300/660] lr: 9.8663e-03 eta: 17:10:00 time: 1.0226 data_time: 0.0175 memory: 22681 loss: 2.5812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5812 2022/10/30 01:05:16 - mmengine - INFO - Epoch(train) [11][320/660] lr: 9.8652e-03 eta: 17:09:35 time: 1.0237 data_time: 0.0201 memory: 22681 loss: 2.6536 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6536 2022/10/30 01:05:37 - mmengine - INFO - Epoch(train) [11][340/660] lr: 9.8641e-03 eta: 17:09:13 time: 1.0370 data_time: 0.0237 memory: 22681 loss: 2.6739 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.6739 2022/10/30 01:05:58 - mmengine - INFO - Epoch(train) [11][360/660] lr: 9.8630e-03 eta: 17:08:49 time: 1.0268 data_time: 0.0177 memory: 22681 loss: 2.6960 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6960 2022/10/30 01:06:18 - mmengine - INFO - Epoch(train) [11][380/660] lr: 9.8619e-03 eta: 17:08:24 time: 1.0221 data_time: 0.0176 memory: 22681 loss: 2.6004 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6004 2022/10/30 01:06:39 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 01:06:39 - mmengine - INFO - Epoch(train) [11][400/660] lr: 9.8608e-03 eta: 17:07:59 time: 1.0214 data_time: 0.0183 memory: 22681 loss: 2.7793 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7793 2022/10/30 01:06:59 - mmengine - INFO - Epoch(train) [11][420/660] lr: 9.8597e-03 eta: 17:07:37 time: 1.0380 data_time: 0.0222 memory: 22681 loss: 2.7113 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7113 2022/10/30 01:07:20 - mmengine - INFO - Epoch(train) [11][440/660] lr: 9.8586e-03 eta: 17:07:13 time: 1.0301 data_time: 0.0173 memory: 22681 loss: 2.7361 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.7361 2022/10/30 01:07:40 - mmengine - INFO - Epoch(train) [11][460/660] lr: 9.8575e-03 eta: 17:06:49 time: 1.0219 data_time: 0.0179 memory: 22681 loss: 2.7100 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.7100 2022/10/30 01:08:01 - mmengine - INFO - Epoch(train) [11][480/660] lr: 9.8564e-03 eta: 17:06:24 time: 1.0240 data_time: 0.0180 memory: 22681 loss: 2.6355 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.6355 2022/10/30 01:08:22 - mmengine - INFO - Epoch(train) [11][500/660] lr: 9.8553e-03 eta: 17:06:02 time: 1.0383 data_time: 0.0228 memory: 22681 loss: 2.6834 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6834 2022/10/30 01:08:42 - mmengine - INFO - Epoch(train) [11][520/660] lr: 9.8541e-03 eta: 17:05:38 time: 1.0250 data_time: 0.0175 memory: 22681 loss: 2.6437 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6437 2022/10/30 01:09:03 - mmengine - INFO - Epoch(train) [11][540/660] lr: 9.8530e-03 eta: 17:05:14 time: 1.0271 data_time: 0.0173 memory: 22681 loss: 2.5709 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5709 2022/10/30 01:09:23 - mmengine - INFO - Epoch(train) [11][560/660] lr: 9.8519e-03 eta: 17:04:49 time: 1.0225 data_time: 0.0183 memory: 22681 loss: 2.6672 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6672 2022/10/30 01:09:44 - mmengine - INFO - Epoch(train) [11][580/660] lr: 9.8507e-03 eta: 17:04:28 time: 1.0413 data_time: 0.0223 memory: 22681 loss: 2.7489 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7489 2022/10/30 01:10:04 - mmengine - INFO - Epoch(train) [11][600/660] lr: 9.8496e-03 eta: 17:04:04 time: 1.0247 data_time: 0.0175 memory: 22681 loss: 2.6000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6000 2022/10/30 01:10:25 - mmengine - INFO - Epoch(train) [11][620/660] lr: 9.8484e-03 eta: 17:03:39 time: 1.0217 data_time: 0.0172 memory: 22681 loss: 2.6823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6823 2022/10/30 01:10:45 - mmengine - INFO - Epoch(train) [11][640/660] lr: 9.8473e-03 eta: 17:03:14 time: 1.0214 data_time: 0.0181 memory: 22681 loss: 2.6293 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.6293 2022/10/30 01:11:06 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 01:11:06 - mmengine - INFO - Epoch(train) [11][660/660] lr: 9.8461e-03 eta: 17:02:49 time: 1.0176 data_time: 0.0198 memory: 22681 loss: 2.6402 top1_acc: 0.5000 top5_acc: 0.8571 loss_cls: 2.6402 2022/10/30 01:11:08 - mmengine - INFO - Epoch(val) [11][20/194] eta: 0:00:23 time: 0.1337 data_time: 0.0325 memory: 2517 2022/10/30 01:11:10 - mmengine - INFO - Epoch(val) [11][40/194] eta: 0:00:16 time: 0.1080 data_time: 0.0076 memory: 2517 2022/10/30 01:11:13 - mmengine - INFO - Epoch(val) [11][60/194] eta: 0:00:14 time: 0.1079 data_time: 0.0073 memory: 2517 2022/10/30 01:11:15 - mmengine - INFO - Epoch(val) [11][80/194] eta: 0:00:12 time: 0.1078 data_time: 0.0074 memory: 2517 2022/10/30 01:11:17 - mmengine - INFO - Epoch(val) [11][100/194] eta: 0:00:10 time: 0.1091 data_time: 0.0079 memory: 2517 2022/10/30 01:11:19 - mmengine - INFO - Epoch(val) [11][120/194] eta: 0:00:08 time: 0.1138 data_time: 0.0124 memory: 2517 2022/10/30 01:11:21 - mmengine - INFO - Epoch(val) [11][140/194] eta: 0:00:05 time: 0.1100 data_time: 0.0087 memory: 2517 2022/10/30 01:11:24 - mmengine - INFO - Epoch(val) [11][160/194] eta: 0:00:03 time: 0.1095 data_time: 0.0078 memory: 2517 2022/10/30 01:11:26 - mmengine - INFO - Epoch(val) [11][180/194] eta: 0:00:01 time: 0.1092 data_time: 0.0080 memory: 2517 2022/10/30 01:11:29 - mmengine - INFO - Epoch(val) [11][194/194] acc/top1: 0.5728 acc/top5: 0.8512 acc/mean1: 0.4843 2022/10/30 01:11:29 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_10.pth is removed 2022/10/30 01:11:31 - mmengine - INFO - The best checkpoint with 0.5728 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/10/30 01:11:58 - mmengine - INFO - Epoch(train) [12][20/660] lr: 9.8450e-03 eta: 17:03:22 time: 1.3820 data_time: 0.2607 memory: 22681 loss: 2.6610 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6610 2022/10/30 01:12:19 - mmengine - INFO - Epoch(train) [12][40/660] lr: 9.8438e-03 eta: 17:02:58 time: 1.0239 data_time: 0.0197 memory: 22681 loss: 2.7001 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7001 2022/10/30 01:12:39 - mmengine - INFO - Epoch(train) [12][60/660] lr: 9.8426e-03 eta: 17:02:33 time: 1.0173 data_time: 0.0177 memory: 22681 loss: 2.7298 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7298 2022/10/30 01:12:59 - mmengine - INFO - Epoch(train) [12][80/660] lr: 9.8414e-03 eta: 17:02:07 time: 1.0185 data_time: 0.0186 memory: 22681 loss: 2.5093 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.5093 2022/10/30 01:13:20 - mmengine - INFO - Epoch(train) [12][100/660] lr: 9.8403e-03 eta: 17:01:45 time: 1.0343 data_time: 0.0187 memory: 22681 loss: 2.6228 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.6228 2022/10/30 01:13:41 - mmengine - INFO - Epoch(train) [12][120/660] lr: 9.8391e-03 eta: 17:01:20 time: 1.0215 data_time: 0.0202 memory: 22681 loss: 2.6060 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.6060 2022/10/30 01:14:01 - mmengine - INFO - Epoch(train) [12][140/660] lr: 9.8379e-03 eta: 17:00:55 time: 1.0202 data_time: 0.0168 memory: 22681 loss: 2.6884 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6884 2022/10/30 01:14:21 - mmengine - INFO - Epoch(train) [12][160/660] lr: 9.8367e-03 eta: 17:00:30 time: 1.0195 data_time: 0.0168 memory: 22681 loss: 2.5257 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5257 2022/10/30 01:14:42 - mmengine - INFO - Epoch(train) [12][180/660] lr: 9.8355e-03 eta: 17:00:07 time: 1.0339 data_time: 0.0182 memory: 22681 loss: 2.5621 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5621 2022/10/30 01:15:02 - mmengine - INFO - Epoch(train) [12][200/660] lr: 9.8343e-03 eta: 16:59:42 time: 1.0178 data_time: 0.0195 memory: 22681 loss: 2.6571 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6571 2022/10/30 01:15:23 - mmengine - INFO - Epoch(train) [12][220/660] lr: 9.8331e-03 eta: 16:59:17 time: 1.0164 data_time: 0.0164 memory: 22681 loss: 2.5572 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5572 2022/10/30 01:15:43 - mmengine - INFO - Epoch(train) [12][240/660] lr: 9.8319e-03 eta: 16:58:51 time: 1.0173 data_time: 0.0188 memory: 22681 loss: 2.6108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6108 2022/10/30 01:16:04 - mmengine - INFO - Epoch(train) [12][260/660] lr: 9.8307e-03 eta: 16:58:29 time: 1.0335 data_time: 0.0204 memory: 22681 loss: 2.6627 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.6627 2022/10/30 01:16:24 - mmengine - INFO - Epoch(train) [12][280/660] lr: 9.8295e-03 eta: 16:58:05 time: 1.0251 data_time: 0.0215 memory: 22681 loss: 2.6104 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.6104 2022/10/30 01:16:45 - mmengine - INFO - Epoch(train) [12][300/660] lr: 9.8282e-03 eta: 16:57:40 time: 1.0180 data_time: 0.0198 memory: 22681 loss: 2.6654 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6654 2022/10/30 01:17:05 - mmengine - INFO - Epoch(train) [12][320/660] lr: 9.8270e-03 eta: 16:57:15 time: 1.0186 data_time: 0.0187 memory: 22681 loss: 2.5193 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5193 2022/10/30 01:17:26 - mmengine - INFO - Epoch(train) [12][340/660] lr: 9.8258e-03 eta: 16:56:52 time: 1.0345 data_time: 0.0204 memory: 22681 loss: 2.6994 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6994 2022/10/30 01:17:46 - mmengine - INFO - Epoch(train) [12][360/660] lr: 9.8245e-03 eta: 16:56:28 time: 1.0194 data_time: 0.0210 memory: 22681 loss: 2.4524 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4524 2022/10/30 01:18:06 - mmengine - INFO - Epoch(train) [12][380/660] lr: 9.8233e-03 eta: 16:56:03 time: 1.0205 data_time: 0.0186 memory: 22681 loss: 2.5625 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5625 2022/10/30 01:18:27 - mmengine - INFO - Epoch(train) [12][400/660] lr: 9.8221e-03 eta: 16:55:38 time: 1.0208 data_time: 0.0199 memory: 22681 loss: 2.6416 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.6416 2022/10/30 01:18:48 - mmengine - INFO - Epoch(train) [12][420/660] lr: 9.8208e-03 eta: 16:55:16 time: 1.0329 data_time: 0.0202 memory: 22681 loss: 2.6750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6750 2022/10/30 01:19:08 - mmengine - INFO - Epoch(train) [12][440/660] lr: 9.8196e-03 eta: 16:54:52 time: 1.0223 data_time: 0.0203 memory: 22681 loss: 2.6291 top1_acc: 0.1875 top5_acc: 0.8750 loss_cls: 2.6291 2022/10/30 01:19:28 - mmengine - INFO - Epoch(train) [12][460/660] lr: 9.8183e-03 eta: 16:54:27 time: 1.0204 data_time: 0.0195 memory: 22681 loss: 2.5581 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.5581 2022/10/30 01:19:49 - mmengine - INFO - Epoch(train) [12][480/660] lr: 9.8170e-03 eta: 16:54:02 time: 1.0194 data_time: 0.0188 memory: 22681 loss: 2.5155 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5155 2022/10/30 01:20:09 - mmengine - INFO - Epoch(train) [12][500/660] lr: 9.8158e-03 eta: 16:53:40 time: 1.0351 data_time: 0.0193 memory: 22681 loss: 2.5438 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5438 2022/10/30 01:20:30 - mmengine - INFO - Epoch(train) [12][520/660] lr: 9.8145e-03 eta: 16:53:16 time: 1.0222 data_time: 0.0211 memory: 22681 loss: 2.6880 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.6880 2022/10/30 01:20:50 - mmengine - INFO - Epoch(train) [12][540/660] lr: 9.8132e-03 eta: 16:52:51 time: 1.0189 data_time: 0.0188 memory: 22681 loss: 2.6947 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6947 2022/10/30 01:21:11 - mmengine - INFO - Epoch(train) [12][560/660] lr: 9.8120e-03 eta: 16:52:27 time: 1.0201 data_time: 0.0200 memory: 22681 loss: 2.5806 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5806 2022/10/30 01:21:31 - mmengine - INFO - Epoch(train) [12][580/660] lr: 9.8107e-03 eta: 16:52:05 time: 1.0377 data_time: 0.0201 memory: 22681 loss: 2.6966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6966 2022/10/30 01:21:52 - mmengine - INFO - Epoch(train) [12][600/660] lr: 9.8094e-03 eta: 16:51:41 time: 1.0206 data_time: 0.0205 memory: 22681 loss: 2.5725 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5725 2022/10/30 01:22:12 - mmengine - INFO - Epoch(train) [12][620/660] lr: 9.8081e-03 eta: 16:51:16 time: 1.0221 data_time: 0.0181 memory: 22681 loss: 2.6419 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6419 2022/10/30 01:22:33 - mmengine - INFO - Epoch(train) [12][640/660] lr: 9.8068e-03 eta: 16:50:52 time: 1.0185 data_time: 0.0189 memory: 22681 loss: 2.6169 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.6169 2022/10/30 01:22:53 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 01:22:53 - mmengine - INFO - Epoch(train) [12][660/660] lr: 9.8055e-03 eta: 16:50:27 time: 1.0171 data_time: 0.0202 memory: 22681 loss: 2.6973 top1_acc: 0.2143 top5_acc: 0.5714 loss_cls: 2.6973 2022/10/30 01:22:53 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/10/30 01:22:57 - mmengine - INFO - Epoch(val) [12][20/194] eta: 0:00:22 time: 0.1280 data_time: 0.0248 memory: 2517 2022/10/30 01:22:59 - mmengine - INFO - Epoch(val) [12][40/194] eta: 0:00:16 time: 0.1091 data_time: 0.0075 memory: 2517 2022/10/30 01:23:01 - mmengine - INFO - Epoch(val) [12][60/194] eta: 0:00:14 time: 0.1105 data_time: 0.0083 memory: 2517 2022/10/30 01:23:03 - mmengine - INFO - Epoch(val) [12][80/194] eta: 0:00:12 time: 0.1099 data_time: 0.0077 memory: 2517 2022/10/30 01:23:06 - mmengine - INFO - Epoch(val) [12][100/194] eta: 0:00:10 time: 0.1081 data_time: 0.0072 memory: 2517 2022/10/30 01:23:08 - mmengine - INFO - Epoch(val) [12][120/194] eta: 0:00:08 time: 0.1082 data_time: 0.0072 memory: 2517 2022/10/30 01:23:10 - mmengine - INFO - Epoch(val) [12][140/194] eta: 0:00:05 time: 0.1088 data_time: 0.0074 memory: 2517 2022/10/30 01:23:12 - mmengine - INFO - Epoch(val) [12][160/194] eta: 0:00:03 time: 0.1086 data_time: 0.0072 memory: 2517 2022/10/30 01:23:14 - mmengine - INFO - Epoch(val) [12][180/194] eta: 0:00:01 time: 0.1077 data_time: 0.0070 memory: 2517 2022/10/30 01:23:16 - mmengine - INFO - Epoch(val) [12][194/194] acc/top1: 0.5773 acc/top5: 0.8570 acc/mean1: 0.4931 2022/10/30 01:23:17 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_11.pth is removed 2022/10/30 01:23:18 - mmengine - INFO - The best checkpoint with 0.5773 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/10/30 01:23:46 - mmengine - INFO - Epoch(train) [13][20/660] lr: 9.8042e-03 eta: 16:51:00 time: 1.4089 data_time: 0.3163 memory: 22681 loss: 2.6190 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6190 2022/10/30 01:24:07 - mmengine - INFO - Epoch(train) [13][40/660] lr: 9.8029e-03 eta: 16:50:36 time: 1.0252 data_time: 0.0175 memory: 22681 loss: 2.6117 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6117 2022/10/30 01:24:27 - mmengine - INFO - Epoch(train) [13][60/660] lr: 9.8016e-03 eta: 16:50:12 time: 1.0241 data_time: 0.0178 memory: 22681 loss: 2.5380 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.5380 2022/10/30 01:24:47 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 01:24:47 - mmengine - INFO - Epoch(train) [13][80/660] lr: 9.8003e-03 eta: 16:49:47 time: 1.0203 data_time: 0.0175 memory: 22681 loss: 2.5279 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5279 2022/10/30 01:25:08 - mmengine - INFO - Epoch(train) [13][100/660] lr: 9.7989e-03 eta: 16:49:24 time: 1.0300 data_time: 0.0215 memory: 22681 loss: 2.5794 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.5794 2022/10/30 01:25:29 - mmengine - INFO - Epoch(train) [13][120/660] lr: 9.7976e-03 eta: 16:49:01 time: 1.0233 data_time: 0.0180 memory: 22681 loss: 2.6505 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.6505 2022/10/30 01:25:49 - mmengine - INFO - Epoch(train) [13][140/660] lr: 9.7963e-03 eta: 16:48:36 time: 1.0196 data_time: 0.0183 memory: 22681 loss: 2.6190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6190 2022/10/30 01:26:09 - mmengine - INFO - Epoch(train) [13][160/660] lr: 9.7950e-03 eta: 16:48:11 time: 1.0165 data_time: 0.0182 memory: 22681 loss: 2.7282 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7282 2022/10/30 01:26:30 - mmengine - INFO - Epoch(train) [13][180/660] lr: 9.7936e-03 eta: 16:47:48 time: 1.0288 data_time: 0.0228 memory: 22681 loss: 2.7672 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7672 2022/10/30 01:26:50 - mmengine - INFO - Epoch(train) [13][200/660] lr: 9.7923e-03 eta: 16:47:24 time: 1.0225 data_time: 0.0174 memory: 22681 loss: 2.5923 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5923 2022/10/30 01:27:11 - mmengine - INFO - Epoch(train) [13][220/660] lr: 9.7909e-03 eta: 16:46:59 time: 1.0177 data_time: 0.0181 memory: 22681 loss: 2.5745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5745 2022/10/30 01:27:31 - mmengine - INFO - Epoch(train) [13][240/660] lr: 9.7896e-03 eta: 16:46:35 time: 1.0168 data_time: 0.0175 memory: 22681 loss: 2.4951 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.4951 2022/10/30 01:27:52 - mmengine - INFO - Epoch(train) [13][260/660] lr: 9.7882e-03 eta: 16:46:12 time: 1.0319 data_time: 0.0237 memory: 22681 loss: 2.5498 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.5498 2022/10/30 01:28:12 - mmengine - INFO - Epoch(train) [13][280/660] lr: 9.7869e-03 eta: 16:45:48 time: 1.0255 data_time: 0.0201 memory: 22681 loss: 2.5604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5604 2022/10/30 01:28:33 - mmengine - INFO - Epoch(train) [13][300/660] lr: 9.7855e-03 eta: 16:45:24 time: 1.0217 data_time: 0.0184 memory: 22681 loss: 2.7657 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.7657 2022/10/30 01:28:53 - mmengine - INFO - Epoch(train) [13][320/660] lr: 9.7841e-03 eta: 16:45:01 time: 1.0231 data_time: 0.0180 memory: 22681 loss: 2.4848 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4848 2022/10/30 01:29:14 - mmengine - INFO - Epoch(train) [13][340/660] lr: 9.7828e-03 eta: 16:44:39 time: 1.0399 data_time: 0.0242 memory: 22681 loss: 2.5346 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5346 2022/10/30 01:29:34 - mmengine - INFO - Epoch(train) [13][360/660] lr: 9.7814e-03 eta: 16:44:16 time: 1.0254 data_time: 0.0181 memory: 22681 loss: 2.5044 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5044 2022/10/30 01:29:55 - mmengine - INFO - Epoch(train) [13][380/660] lr: 9.7800e-03 eta: 16:43:52 time: 1.0239 data_time: 0.0196 memory: 22681 loss: 2.4852 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4852 2022/10/30 01:30:15 - mmengine - INFO - Epoch(train) [13][400/660] lr: 9.7786e-03 eta: 16:43:28 time: 1.0204 data_time: 0.0182 memory: 22681 loss: 2.6173 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6173 2022/10/30 01:30:36 - mmengine - INFO - Epoch(train) [13][420/660] lr: 9.7772e-03 eta: 16:43:06 time: 1.0353 data_time: 0.0224 memory: 22681 loss: 2.4304 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4304 2022/10/30 01:30:56 - mmengine - INFO - Epoch(train) [13][440/660] lr: 9.7758e-03 eta: 16:42:43 time: 1.0271 data_time: 0.0175 memory: 22681 loss: 2.4631 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4631 2022/10/30 01:31:17 - mmengine - INFO - Epoch(train) [13][460/660] lr: 9.7745e-03 eta: 16:42:20 time: 1.0291 data_time: 0.0184 memory: 22681 loss: 2.5760 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5760 2022/10/30 01:31:37 - mmengine - INFO - Epoch(train) [13][480/660] lr: 9.7730e-03 eta: 16:41:56 time: 1.0229 data_time: 0.0174 memory: 22681 loss: 2.5368 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.5368 2022/10/30 01:31:58 - mmengine - INFO - Epoch(train) [13][500/660] lr: 9.7716e-03 eta: 16:41:34 time: 1.0348 data_time: 0.0221 memory: 22681 loss: 2.4048 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4048 2022/10/30 01:32:19 - mmengine - INFO - Epoch(train) [13][520/660] lr: 9.7702e-03 eta: 16:41:11 time: 1.0262 data_time: 0.0178 memory: 22681 loss: 2.5772 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5772 2022/10/30 01:32:39 - mmengine - INFO - Epoch(train) [13][540/660] lr: 9.7688e-03 eta: 16:40:47 time: 1.0236 data_time: 0.0193 memory: 22681 loss: 2.5919 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.5919 2022/10/30 01:33:00 - mmengine - INFO - Epoch(train) [13][560/660] lr: 9.7674e-03 eta: 16:40:23 time: 1.0230 data_time: 0.0194 memory: 22681 loss: 2.6165 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6165 2022/10/30 01:33:20 - mmengine - INFO - Epoch(train) [13][580/660] lr: 9.7660e-03 eta: 16:40:02 time: 1.0365 data_time: 0.0221 memory: 22681 loss: 2.6279 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6279 2022/10/30 01:33:41 - mmengine - INFO - Epoch(train) [13][600/660] lr: 9.7646e-03 eta: 16:39:38 time: 1.0272 data_time: 0.0179 memory: 22681 loss: 2.6946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6946 2022/10/30 01:34:01 - mmengine - INFO - Epoch(train) [13][620/660] lr: 9.7631e-03 eta: 16:39:15 time: 1.0237 data_time: 0.0187 memory: 22681 loss: 2.6088 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6088 2022/10/30 01:34:22 - mmengine - INFO - Epoch(train) [13][640/660] lr: 9.7617e-03 eta: 16:38:51 time: 1.0193 data_time: 0.0189 memory: 22681 loss: 2.7359 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7359 2022/10/30 01:34:42 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 01:34:42 - mmengine - INFO - Epoch(train) [13][660/660] lr: 9.7602e-03 eta: 16:38:26 time: 1.0109 data_time: 0.0200 memory: 22681 loss: 2.4821 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.4821 2022/10/30 01:34:45 - mmengine - INFO - Epoch(val) [13][20/194] eta: 0:00:23 time: 0.1357 data_time: 0.0339 memory: 2517 2022/10/30 01:34:47 - mmengine - INFO - Epoch(val) [13][40/194] eta: 0:00:16 time: 0.1097 data_time: 0.0081 memory: 2517 2022/10/30 01:34:49 - mmengine - INFO - Epoch(val) [13][60/194] eta: 0:00:14 time: 0.1084 data_time: 0.0074 memory: 2517 2022/10/30 01:34:51 - mmengine - INFO - Epoch(val) [13][80/194] eta: 0:00:12 time: 0.1079 data_time: 0.0073 memory: 2517 2022/10/30 01:34:53 - mmengine - INFO - Epoch(val) [13][100/194] eta: 0:00:10 time: 0.1082 data_time: 0.0073 memory: 2517 2022/10/30 01:34:56 - mmengine - INFO - Epoch(val) [13][120/194] eta: 0:00:08 time: 0.1081 data_time: 0.0072 memory: 2517 2022/10/30 01:34:58 - mmengine - INFO - Epoch(val) [13][140/194] eta: 0:00:05 time: 0.1088 data_time: 0.0079 memory: 2517 2022/10/30 01:35:00 - mmengine - INFO - Epoch(val) [13][160/194] eta: 0:00:03 time: 0.1085 data_time: 0.0076 memory: 2517 2022/10/30 01:35:02 - mmengine - INFO - Epoch(val) [13][180/194] eta: 0:00:01 time: 0.1082 data_time: 0.0074 memory: 2517 2022/10/30 01:35:05 - mmengine - INFO - Epoch(val) [13][194/194] acc/top1: 0.5835 acc/top5: 0.8596 acc/mean1: 0.4936 2022/10/30 01:35:05 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_12.pth is removed 2022/10/30 01:35:06 - mmengine - INFO - The best checkpoint with 0.5835 acc/top1 at 13 epoch is saved to best_acc/top1_epoch_13.pth. 2022/10/30 01:35:35 - mmengine - INFO - Epoch(train) [14][20/660] lr: 9.7588e-03 eta: 16:38:57 time: 1.4323 data_time: 0.3014 memory: 22681 loss: 2.5711 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.5711 2022/10/30 01:35:55 - mmengine - INFO - Epoch(train) [14][40/660] lr: 9.7574e-03 eta: 16:38:34 time: 1.0311 data_time: 0.0186 memory: 22681 loss: 2.6330 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6330 2022/10/30 01:36:16 - mmengine - INFO - Epoch(train) [14][60/660] lr: 9.7559e-03 eta: 16:38:10 time: 1.0239 data_time: 0.0193 memory: 22681 loss: 2.3973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3973 2022/10/30 01:36:36 - mmengine - INFO - Epoch(train) [14][80/660] lr: 9.7545e-03 eta: 16:37:47 time: 1.0233 data_time: 0.0195 memory: 22681 loss: 2.5631 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5631 2022/10/30 01:36:57 - mmengine - INFO - Epoch(train) [14][100/660] lr: 9.7530e-03 eta: 16:37:26 time: 1.0411 data_time: 0.0218 memory: 22681 loss: 2.5712 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5712 2022/10/30 01:37:18 - mmengine - INFO - Epoch(train) [14][120/660] lr: 9.7515e-03 eta: 16:37:03 time: 1.0318 data_time: 0.0181 memory: 22681 loss: 2.5405 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5405 2022/10/30 01:37:38 - mmengine - INFO - Epoch(train) [14][140/660] lr: 9.7501e-03 eta: 16:36:39 time: 1.0233 data_time: 0.0178 memory: 22681 loss: 2.5503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5503 2022/10/30 01:37:59 - mmengine - INFO - Epoch(train) [14][160/660] lr: 9.7486e-03 eta: 16:36:16 time: 1.0276 data_time: 0.0186 memory: 22681 loss: 2.4544 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4544 2022/10/30 01:38:20 - mmengine - INFO - Epoch(train) [14][180/660] lr: 9.7471e-03 eta: 16:35:55 time: 1.0413 data_time: 0.0219 memory: 22681 loss: 2.4709 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.4709 2022/10/30 01:38:40 - mmengine - INFO - Epoch(train) [14][200/660] lr: 9.7456e-03 eta: 16:35:33 time: 1.0344 data_time: 0.0188 memory: 22681 loss: 2.5385 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5385 2022/10/30 01:39:01 - mmengine - INFO - Epoch(train) [14][220/660] lr: 9.7441e-03 eta: 16:35:10 time: 1.0293 data_time: 0.0174 memory: 22681 loss: 2.4063 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4063 2022/10/30 01:39:21 - mmengine - INFO - Epoch(train) [14][240/660] lr: 9.7426e-03 eta: 16:34:48 time: 1.0292 data_time: 0.0179 memory: 22681 loss: 2.5280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5280 2022/10/30 01:39:42 - mmengine - INFO - Epoch(train) [14][260/660] lr: 9.7412e-03 eta: 16:34:26 time: 1.0420 data_time: 0.0207 memory: 22681 loss: 2.6436 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.6436 2022/10/30 01:40:03 - mmengine - INFO - Epoch(train) [14][280/660] lr: 9.7397e-03 eta: 16:34:04 time: 1.0351 data_time: 0.0188 memory: 22681 loss: 2.6042 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6042 2022/10/30 01:40:24 - mmengine - INFO - Epoch(train) [14][300/660] lr: 9.7382e-03 eta: 16:33:42 time: 1.0297 data_time: 0.0190 memory: 22681 loss: 2.5697 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5697 2022/10/30 01:40:44 - mmengine - INFO - Epoch(train) [14][320/660] lr: 9.7366e-03 eta: 16:33:19 time: 1.0287 data_time: 0.0195 memory: 22681 loss: 2.5276 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5276 2022/10/30 01:41:05 - mmengine - INFO - Epoch(train) [14][340/660] lr: 9.7351e-03 eta: 16:32:58 time: 1.0449 data_time: 0.0215 memory: 22681 loss: 2.6406 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.6406 2022/10/30 01:41:26 - mmengine - INFO - Epoch(train) [14][360/660] lr: 9.7336e-03 eta: 16:32:36 time: 1.0351 data_time: 0.0189 memory: 22681 loss: 2.6225 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6225 2022/10/30 01:41:46 - mmengine - INFO - Epoch(train) [14][380/660] lr: 9.7321e-03 eta: 16:32:13 time: 1.0249 data_time: 0.0176 memory: 22681 loss: 2.4423 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4423 2022/10/30 01:42:07 - mmengine - INFO - Epoch(train) [14][400/660] lr: 9.7306e-03 eta: 16:31:50 time: 1.0283 data_time: 0.0203 memory: 22681 loss: 2.5058 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5058 2022/10/30 01:42:28 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 01:42:28 - mmengine - INFO - Epoch(train) [14][420/660] lr: 9.7291e-03 eta: 16:31:29 time: 1.0437 data_time: 0.0220 memory: 22681 loss: 2.5924 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5924 2022/10/30 01:42:48 - mmengine - INFO - Epoch(train) [14][440/660] lr: 9.7275e-03 eta: 16:31:08 time: 1.0407 data_time: 0.0194 memory: 22681 loss: 2.5941 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5941 2022/10/30 01:43:09 - mmengine - INFO - Epoch(train) [14][460/660] lr: 9.7260e-03 eta: 16:30:45 time: 1.0284 data_time: 0.0181 memory: 22681 loss: 2.6446 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6446 2022/10/30 01:43:30 - mmengine - INFO - Epoch(train) [14][480/660] lr: 9.7244e-03 eta: 16:30:22 time: 1.0292 data_time: 0.0185 memory: 22681 loss: 2.4138 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4138 2022/10/30 01:43:50 - mmengine - INFO - Epoch(train) [14][500/660] lr: 9.7229e-03 eta: 16:30:02 time: 1.0438 data_time: 0.0204 memory: 22681 loss: 2.5184 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5184 2022/10/30 01:44:11 - mmengine - INFO - Epoch(train) [14][520/660] lr: 9.7214e-03 eta: 16:29:40 time: 1.0367 data_time: 0.0189 memory: 22681 loss: 2.4126 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4126 2022/10/30 01:44:32 - mmengine - INFO - Epoch(train) [14][540/660] lr: 9.7198e-03 eta: 16:29:17 time: 1.0270 data_time: 0.0171 memory: 22681 loss: 2.4366 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4366 2022/10/30 01:44:52 - mmengine - INFO - Epoch(train) [14][560/660] lr: 9.7182e-03 eta: 16:28:54 time: 1.0266 data_time: 0.0182 memory: 22681 loss: 2.6802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6802 2022/10/30 01:45:13 - mmengine - INFO - Epoch(train) [14][580/660] lr: 9.7167e-03 eta: 16:28:33 time: 1.0440 data_time: 0.0198 memory: 22681 loss: 2.4753 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4753 2022/10/30 01:45:34 - mmengine - INFO - Epoch(train) [14][600/660] lr: 9.7151e-03 eta: 16:28:12 time: 1.0406 data_time: 0.0227 memory: 22681 loss: 2.6640 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6640 2022/10/30 01:45:55 - mmengine - INFO - Epoch(train) [14][620/660] lr: 9.7135e-03 eta: 16:27:49 time: 1.0274 data_time: 0.0177 memory: 22681 loss: 2.7474 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.7474 2022/10/30 01:46:15 - mmengine - INFO - Epoch(train) [14][640/660] lr: 9.7120e-03 eta: 16:27:26 time: 1.0241 data_time: 0.0180 memory: 22681 loss: 2.5066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5066 2022/10/30 01:46:35 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 01:46:35 - mmengine - INFO - Epoch(train) [14][660/660] lr: 9.7104e-03 eta: 16:27:02 time: 1.0162 data_time: 0.0190 memory: 22681 loss: 2.3326 top1_acc: 0.7857 top5_acc: 1.0000 loss_cls: 2.3326 2022/10/30 01:46:38 - mmengine - INFO - Epoch(val) [14][20/194] eta: 0:00:23 time: 0.1344 data_time: 0.0329 memory: 2517 2022/10/30 01:46:40 - mmengine - INFO - Epoch(val) [14][40/194] eta: 0:00:16 time: 0.1085 data_time: 0.0077 memory: 2517 2022/10/30 01:46:42 - mmengine - INFO - Epoch(val) [14][60/194] eta: 0:00:14 time: 0.1088 data_time: 0.0076 memory: 2517 2022/10/30 01:46:45 - mmengine - INFO - Epoch(val) [14][80/194] eta: 0:00:12 time: 0.1097 data_time: 0.0078 memory: 2517 2022/10/30 01:46:47 - mmengine - INFO - Epoch(val) [14][100/194] eta: 0:00:10 time: 0.1100 data_time: 0.0080 memory: 2517 2022/10/30 01:46:49 - mmengine - INFO - Epoch(val) [14][120/194] eta: 0:00:08 time: 0.1097 data_time: 0.0081 memory: 2517 2022/10/30 01:46:51 - mmengine - INFO - Epoch(val) [14][140/194] eta: 0:00:05 time: 0.1094 data_time: 0.0077 memory: 2517 2022/10/30 01:46:53 - mmengine - INFO - Epoch(val) [14][160/194] eta: 0:00:03 time: 0.1099 data_time: 0.0080 memory: 2517 2022/10/30 01:46:56 - mmengine - INFO - Epoch(val) [14][180/194] eta: 0:00:01 time: 0.1095 data_time: 0.0078 memory: 2517 2022/10/30 01:46:58 - mmengine - INFO - Epoch(val) [14][194/194] acc/top1: 0.5876 acc/top5: 0.8650 acc/mean1: 0.5040 2022/10/30 01:46:58 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_13.pth is removed 2022/10/30 01:47:00 - mmengine - INFO - The best checkpoint with 0.5876 acc/top1 at 14 epoch is saved to best_acc/top1_epoch_14.pth. 2022/10/30 01:47:28 - mmengine - INFO - Epoch(train) [15][20/660] lr: 9.7088e-03 eta: 16:27:26 time: 1.4110 data_time: 0.3042 memory: 22681 loss: 2.5004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5004 2022/10/30 01:47:48 - mmengine - INFO - Epoch(train) [15][40/660] lr: 9.7072e-03 eta: 16:27:02 time: 1.0217 data_time: 0.0181 memory: 22681 loss: 2.4769 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4769 2022/10/30 01:48:09 - mmengine - INFO - Epoch(train) [15][60/660] lr: 9.7056e-03 eta: 16:26:38 time: 1.0206 data_time: 0.0177 memory: 22681 loss: 2.5407 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5407 2022/10/30 01:48:29 - mmengine - INFO - Epoch(train) [15][80/660] lr: 9.7040e-03 eta: 16:26:14 time: 1.0184 data_time: 0.0187 memory: 22681 loss: 2.6155 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6155 2022/10/30 01:48:50 - mmengine - INFO - Epoch(train) [15][100/660] lr: 9.7024e-03 eta: 16:25:53 time: 1.0421 data_time: 0.0220 memory: 22681 loss: 2.7469 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.7469 2022/10/30 01:49:10 - mmengine - INFO - Epoch(train) [15][120/660] lr: 9.7008e-03 eta: 16:25:30 time: 1.0230 data_time: 0.0190 memory: 22681 loss: 2.5591 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5591 2022/10/30 01:49:31 - mmengine - INFO - Epoch(train) [15][140/660] lr: 9.6992e-03 eta: 16:25:07 time: 1.0251 data_time: 0.0177 memory: 22681 loss: 2.3817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3817 2022/10/30 01:49:51 - mmengine - INFO - Epoch(train) [15][160/660] lr: 9.6976e-03 eta: 16:24:43 time: 1.0191 data_time: 0.0184 memory: 22681 loss: 2.5872 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.5872 2022/10/30 01:50:12 - mmengine - INFO - Epoch(train) [15][180/660] lr: 9.6960e-03 eta: 16:24:22 time: 1.0453 data_time: 0.0236 memory: 22681 loss: 2.6205 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6205 2022/10/30 01:50:33 - mmengine - INFO - Epoch(train) [15][200/660] lr: 9.6944e-03 eta: 16:23:59 time: 1.0233 data_time: 0.0198 memory: 22681 loss: 2.4897 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.4897 2022/10/30 01:50:53 - mmengine - INFO - Epoch(train) [15][220/660] lr: 9.6928e-03 eta: 16:23:36 time: 1.0288 data_time: 0.0178 memory: 22681 loss: 2.5396 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5396 2022/10/30 01:51:14 - mmengine - INFO - Epoch(train) [15][240/660] lr: 9.6911e-03 eta: 16:23:13 time: 1.0232 data_time: 0.0183 memory: 22681 loss: 2.4705 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4705 2022/10/30 01:51:35 - mmengine - INFO - Epoch(train) [15][260/660] lr: 9.6895e-03 eta: 16:22:52 time: 1.0409 data_time: 0.0230 memory: 22681 loss: 2.5913 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5913 2022/10/30 01:51:55 - mmengine - INFO - Epoch(train) [15][280/660] lr: 9.6879e-03 eta: 16:22:29 time: 1.0260 data_time: 0.0197 memory: 22681 loss: 2.5243 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5243 2022/10/30 01:52:16 - mmengine - INFO - Epoch(train) [15][300/660] lr: 9.6862e-03 eta: 16:22:06 time: 1.0296 data_time: 0.0181 memory: 22681 loss: 2.5114 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.5114 2022/10/30 01:52:36 - mmengine - INFO - Epoch(train) [15][320/660] lr: 9.6846e-03 eta: 16:21:43 time: 1.0229 data_time: 0.0184 memory: 22681 loss: 2.4715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4715 2022/10/30 01:52:57 - mmengine - INFO - Epoch(train) [15][340/660] lr: 9.6829e-03 eta: 16:21:21 time: 1.0379 data_time: 0.0228 memory: 22681 loss: 2.5586 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5586 2022/10/30 01:53:17 - mmengine - INFO - Epoch(train) [15][360/660] lr: 9.6813e-03 eta: 16:20:58 time: 1.0278 data_time: 0.0194 memory: 22681 loss: 2.6584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6584 2022/10/30 01:53:38 - mmengine - INFO - Epoch(train) [15][380/660] lr: 9.6796e-03 eta: 16:20:36 time: 1.0286 data_time: 0.0184 memory: 22681 loss: 2.5378 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5378 2022/10/30 01:53:59 - mmengine - INFO - Epoch(train) [15][400/660] lr: 9.6780e-03 eta: 16:20:13 time: 1.0289 data_time: 0.0240 memory: 22681 loss: 2.4087 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4087 2022/10/30 01:54:19 - mmengine - INFO - Epoch(train) [15][420/660] lr: 9.6763e-03 eta: 16:19:52 time: 1.0381 data_time: 0.0202 memory: 22681 loss: 2.2667 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2667 2022/10/30 01:54:40 - mmengine - INFO - Epoch(train) [15][440/660] lr: 9.6746e-03 eta: 16:19:29 time: 1.0294 data_time: 0.0186 memory: 22681 loss: 2.5761 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5761 2022/10/30 01:55:01 - mmengine - INFO - Epoch(train) [15][460/660] lr: 9.6730e-03 eta: 16:19:07 time: 1.0300 data_time: 0.0182 memory: 22681 loss: 2.6355 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6355 2022/10/30 01:55:21 - mmengine - INFO - Epoch(train) [15][480/660] lr: 9.6713e-03 eta: 16:18:44 time: 1.0238 data_time: 0.0178 memory: 22681 loss: 2.4445 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4445 2022/10/30 01:55:42 - mmengine - INFO - Epoch(train) [15][500/660] lr: 9.6696e-03 eta: 16:18:22 time: 1.0376 data_time: 0.0209 memory: 22681 loss: 2.4618 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4618 2022/10/30 01:56:02 - mmengine - INFO - Epoch(train) [15][520/660] lr: 9.6679e-03 eta: 16:18:00 time: 1.0330 data_time: 0.0203 memory: 22681 loss: 2.5377 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5377 2022/10/30 01:56:23 - mmengine - INFO - Epoch(train) [15][540/660] lr: 9.6662e-03 eta: 16:17:38 time: 1.0312 data_time: 0.0178 memory: 22681 loss: 2.5688 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.5688 2022/10/30 01:56:44 - mmengine - INFO - Epoch(train) [15][560/660] lr: 9.6645e-03 eta: 16:17:15 time: 1.0273 data_time: 0.0178 memory: 22681 loss: 2.5353 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.5353 2022/10/30 01:57:04 - mmengine - INFO - Epoch(train) [15][580/660] lr: 9.6628e-03 eta: 16:16:54 time: 1.0401 data_time: 0.0192 memory: 22681 loss: 2.5190 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5190 2022/10/30 01:57:25 - mmengine - INFO - Epoch(train) [15][600/660] lr: 9.6611e-03 eta: 16:16:31 time: 1.0313 data_time: 0.0224 memory: 22681 loss: 2.6420 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.6420 2022/10/30 01:57:46 - mmengine - INFO - Epoch(train) [15][620/660] lr: 9.6594e-03 eta: 16:16:09 time: 1.0311 data_time: 0.0190 memory: 22681 loss: 2.5700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5700 2022/10/30 01:58:06 - mmengine - INFO - Epoch(train) [15][640/660] lr: 9.6577e-03 eta: 16:15:46 time: 1.0220 data_time: 0.0181 memory: 22681 loss: 2.5467 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.5467 2022/10/30 01:58:26 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 01:58:26 - mmengine - INFO - Epoch(train) [15][660/660] lr: 9.6560e-03 eta: 16:15:22 time: 1.0168 data_time: 0.0197 memory: 22681 loss: 2.5139 top1_acc: 0.6429 top5_acc: 0.9286 loss_cls: 2.5139 2022/10/30 01:58:26 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/10/30 01:58:30 - mmengine - INFO - Epoch(val) [15][20/194] eta: 0:00:22 time: 0.1285 data_time: 0.0275 memory: 2517 2022/10/30 01:58:32 - mmengine - INFO - Epoch(val) [15][40/194] eta: 0:00:16 time: 0.1088 data_time: 0.0074 memory: 2517 2022/10/30 01:58:34 - mmengine - INFO - Epoch(val) [15][60/194] eta: 0:00:14 time: 0.1108 data_time: 0.0082 memory: 2517 2022/10/30 01:58:37 - mmengine - INFO - Epoch(val) [15][80/194] eta: 0:00:12 time: 0.1096 data_time: 0.0078 memory: 2517 2022/10/30 01:58:39 - mmengine - INFO - Epoch(val) [15][100/194] eta: 0:00:10 time: 0.1093 data_time: 0.0079 memory: 2517 2022/10/30 01:58:41 - mmengine - INFO - Epoch(val) [15][120/194] eta: 0:00:07 time: 0.1080 data_time: 0.0071 memory: 2517 2022/10/30 01:58:43 - mmengine - INFO - Epoch(val) [15][140/194] eta: 0:00:05 time: 0.1083 data_time: 0.0076 memory: 2517 2022/10/30 01:58:45 - mmengine - INFO - Epoch(val) [15][160/194] eta: 0:00:03 time: 0.1087 data_time: 0.0075 memory: 2517 2022/10/30 01:58:48 - mmengine - INFO - Epoch(val) [15][180/194] eta: 0:00:01 time: 0.1092 data_time: 0.0084 memory: 2517 2022/10/30 01:58:50 - mmengine - INFO - Epoch(val) [15][194/194] acc/top1: 0.5898 acc/top5: 0.8665 acc/mean1: 0.5073 2022/10/30 01:58:50 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_14.pth is removed 2022/10/30 01:58:52 - mmengine - INFO - The best checkpoint with 0.5898 acc/top1 at 15 epoch is saved to best_acc/top1_epoch_15.pth. 2022/10/30 01:59:19 - mmengine - INFO - Epoch(train) [16][20/660] lr: 9.6543e-03 eta: 16:15:40 time: 1.3833 data_time: 0.2789 memory: 22681 loss: 2.4423 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4423 2022/10/30 01:59:40 - mmengine - INFO - Epoch(train) [16][40/660] lr: 9.6525e-03 eta: 16:15:17 time: 1.0242 data_time: 0.0178 memory: 22681 loss: 2.5070 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.5070 2022/10/30 02:00:00 - mmengine - INFO - Epoch(train) [16][60/660] lr: 9.6508e-03 eta: 16:14:53 time: 1.0201 data_time: 0.0182 memory: 22681 loss: 2.4501 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4501 2022/10/30 02:00:21 - mmengine - INFO - Epoch(train) [16][80/660] lr: 9.6491e-03 eta: 16:14:30 time: 1.0269 data_time: 0.0167 memory: 22681 loss: 2.4148 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4148 2022/10/30 02:00:42 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 02:00:42 - mmengine - INFO - Epoch(train) [16][100/660] lr: 9.6474e-03 eta: 16:14:09 time: 1.0417 data_time: 0.0228 memory: 22681 loss: 2.5034 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.5034 2022/10/30 02:01:02 - mmengine - INFO - Epoch(train) [16][120/660] lr: 9.6456e-03 eta: 16:13:47 time: 1.0316 data_time: 0.0173 memory: 22681 loss: 2.4580 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4580 2022/10/30 02:01:23 - mmengine - INFO - Epoch(train) [16][140/660] lr: 9.6439e-03 eta: 16:13:24 time: 1.0247 data_time: 0.0179 memory: 22681 loss: 2.4961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4961 2022/10/30 02:01:43 - mmengine - INFO - Epoch(train) [16][160/660] lr: 9.6421e-03 eta: 16:13:01 time: 1.0288 data_time: 0.0179 memory: 22681 loss: 2.6466 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.6466 2022/10/30 02:02:04 - mmengine - INFO - Epoch(train) [16][180/660] lr: 9.6404e-03 eta: 16:12:41 time: 1.0442 data_time: 0.0242 memory: 22681 loss: 2.4451 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4451 2022/10/30 02:02:25 - mmengine - INFO - Epoch(train) [16][200/660] lr: 9.6386e-03 eta: 16:12:19 time: 1.0354 data_time: 0.0186 memory: 22681 loss: 2.6282 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.6282 2022/10/30 02:02:46 - mmengine - INFO - Epoch(train) [16][220/660] lr: 9.6369e-03 eta: 16:11:56 time: 1.0259 data_time: 0.0175 memory: 22681 loss: 2.3502 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3502 2022/10/30 02:03:06 - mmengine - INFO - Epoch(train) [16][240/660] lr: 9.6351e-03 eta: 16:11:33 time: 1.0249 data_time: 0.0180 memory: 22681 loss: 2.5513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5513 2022/10/30 02:03:27 - mmengine - INFO - Epoch(train) [16][260/660] lr: 9.6333e-03 eta: 16:11:12 time: 1.0393 data_time: 0.0217 memory: 22681 loss: 2.4418 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4418 2022/10/30 02:03:48 - mmengine - INFO - Epoch(train) [16][280/660] lr: 9.6315e-03 eta: 16:10:50 time: 1.0390 data_time: 0.0187 memory: 22681 loss: 2.5972 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5972 2022/10/30 02:04:08 - mmengine - INFO - Epoch(train) [16][300/660] lr: 9.6298e-03 eta: 16:10:28 time: 1.0301 data_time: 0.0190 memory: 22681 loss: 2.6425 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.6425 2022/10/30 02:04:29 - mmengine - INFO - Epoch(train) [16][320/660] lr: 9.6280e-03 eta: 16:10:05 time: 1.0258 data_time: 0.0182 memory: 22681 loss: 2.5330 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5330 2022/10/30 02:04:50 - mmengine - INFO - Epoch(train) [16][340/660] lr: 9.6262e-03 eta: 16:09:44 time: 1.0413 data_time: 0.0226 memory: 22681 loss: 2.6650 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.6650 2022/10/30 02:05:10 - mmengine - INFO - Epoch(train) [16][360/660] lr: 9.6244e-03 eta: 16:09:23 time: 1.0395 data_time: 0.0176 memory: 22681 loss: 2.4902 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4902 2022/10/30 02:05:31 - mmengine - INFO - Epoch(train) [16][380/660] lr: 9.6226e-03 eta: 16:09:00 time: 1.0275 data_time: 0.0185 memory: 22681 loss: 2.5674 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5674 2022/10/30 02:05:51 - mmengine - INFO - Epoch(train) [16][400/660] lr: 9.6208e-03 eta: 16:08:38 time: 1.0286 data_time: 0.0183 memory: 22681 loss: 2.4808 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4808 2022/10/30 02:06:12 - mmengine - INFO - Epoch(train) [16][420/660] lr: 9.6190e-03 eta: 16:08:17 time: 1.0493 data_time: 0.0227 memory: 22681 loss: 2.5471 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5471 2022/10/30 02:06:33 - mmengine - INFO - Epoch(train) [16][440/660] lr: 9.6172e-03 eta: 16:07:56 time: 1.0378 data_time: 0.0182 memory: 22681 loss: 2.4419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4419 2022/10/30 02:06:54 - mmengine - INFO - Epoch(train) [16][460/660] lr: 9.6154e-03 eta: 16:07:34 time: 1.0307 data_time: 0.0183 memory: 22681 loss: 2.4956 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4956 2022/10/30 02:07:14 - mmengine - INFO - Epoch(train) [16][480/660] lr: 9.6136e-03 eta: 16:07:11 time: 1.0289 data_time: 0.0181 memory: 22681 loss: 2.4585 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4585 2022/10/30 02:07:35 - mmengine - INFO - Epoch(train) [16][500/660] lr: 9.6118e-03 eta: 16:06:51 time: 1.0448 data_time: 0.0211 memory: 22681 loss: 2.5394 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5394 2022/10/30 02:07:56 - mmengine - INFO - Epoch(train) [16][520/660] lr: 9.6100e-03 eta: 16:06:29 time: 1.0394 data_time: 0.0184 memory: 22681 loss: 2.6397 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6397 2022/10/30 02:08:17 - mmengine - INFO - Epoch(train) [16][540/660] lr: 9.6081e-03 eta: 16:06:07 time: 1.0300 data_time: 0.0194 memory: 22681 loss: 2.5045 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5045 2022/10/30 02:08:37 - mmengine - INFO - Epoch(train) [16][560/660] lr: 9.6063e-03 eta: 16:05:45 time: 1.0280 data_time: 0.0184 memory: 22681 loss: 2.4657 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4657 2022/10/30 02:08:58 - mmengine - INFO - Epoch(train) [16][580/660] lr: 9.6045e-03 eta: 16:05:24 time: 1.0425 data_time: 0.0222 memory: 22681 loss: 2.4605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4605 2022/10/30 02:09:19 - mmengine - INFO - Epoch(train) [16][600/660] lr: 9.6026e-03 eta: 16:05:03 time: 1.0486 data_time: 0.0207 memory: 22681 loss: 2.3812 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3812 2022/10/30 02:09:40 - mmengine - INFO - Epoch(train) [16][620/660] lr: 9.6008e-03 eta: 16:04:41 time: 1.0307 data_time: 0.0186 memory: 22681 loss: 2.3489 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3489 2022/10/30 02:10:00 - mmengine - INFO - Epoch(train) [16][640/660] lr: 9.5989e-03 eta: 16:04:18 time: 1.0255 data_time: 0.0181 memory: 22681 loss: 2.3698 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3698 2022/10/30 02:10:21 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 02:10:21 - mmengine - INFO - Epoch(train) [16][660/660] lr: 9.5971e-03 eta: 16:03:55 time: 1.0203 data_time: 0.0189 memory: 22681 loss: 2.4549 top1_acc: 0.6429 top5_acc: 0.7857 loss_cls: 2.4549 2022/10/30 02:10:23 - mmengine - INFO - Epoch(val) [16][20/194] eta: 0:00:23 time: 0.1348 data_time: 0.0327 memory: 2517 2022/10/30 02:10:25 - mmengine - INFO - Epoch(val) [16][40/194] eta: 0:00:16 time: 0.1081 data_time: 0.0074 memory: 2517 2022/10/30 02:10:28 - mmengine - INFO - Epoch(val) [16][60/194] eta: 0:00:14 time: 0.1080 data_time: 0.0074 memory: 2517 2022/10/30 02:10:30 - mmengine - INFO - Epoch(val) [16][80/194] eta: 0:00:12 time: 0.1085 data_time: 0.0076 memory: 2517 2022/10/30 02:10:32 - mmengine - INFO - Epoch(val) [16][100/194] eta: 0:00:10 time: 0.1084 data_time: 0.0076 memory: 2517 2022/10/30 02:10:34 - mmengine - INFO - Epoch(val) [16][120/194] eta: 0:00:08 time: 0.1083 data_time: 0.0075 memory: 2517 2022/10/30 02:10:36 - mmengine - INFO - Epoch(val) [16][140/194] eta: 0:00:05 time: 0.1082 data_time: 0.0073 memory: 2517 2022/10/30 02:10:38 - mmengine - INFO - Epoch(val) [16][160/194] eta: 0:00:03 time: 0.1083 data_time: 0.0073 memory: 2517 2022/10/30 02:10:41 - mmengine - INFO - Epoch(val) [16][180/194] eta: 0:00:01 time: 0.1085 data_time: 0.0075 memory: 2517 2022/10/30 02:10:43 - mmengine - INFO - Epoch(val) [16][194/194] acc/top1: 0.5924 acc/top5: 0.8695 acc/mean1: 0.5022 2022/10/30 02:10:43 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_15.pth is removed 2022/10/30 02:10:45 - mmengine - INFO - The best checkpoint with 0.5924 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/10/30 02:11:13 - mmengine - INFO - Epoch(train) [17][20/660] lr: 9.5952e-03 eta: 16:04:12 time: 1.3994 data_time: 0.3211 memory: 22681 loss: 2.4381 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.4381 2022/10/30 02:11:33 - mmengine - INFO - Epoch(train) [17][40/660] lr: 9.5934e-03 eta: 16:03:48 time: 1.0207 data_time: 0.0185 memory: 22681 loss: 2.5642 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5642 2022/10/30 02:11:54 - mmengine - INFO - Epoch(train) [17][60/660] lr: 9.5915e-03 eta: 16:03:25 time: 1.0250 data_time: 0.0185 memory: 22681 loss: 2.4363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4363 2022/10/30 02:12:14 - mmengine - INFO - Epoch(train) [17][80/660] lr: 9.5896e-03 eta: 16:03:02 time: 1.0217 data_time: 0.0187 memory: 22681 loss: 2.2977 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2977 2022/10/30 02:12:35 - mmengine - INFO - Epoch(train) [17][100/660] lr: 9.5878e-03 eta: 16:02:40 time: 1.0344 data_time: 0.0227 memory: 22681 loss: 2.5409 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5409 2022/10/30 02:12:56 - mmengine - INFO - Epoch(train) [17][120/660] lr: 9.5859e-03 eta: 16:02:18 time: 1.0313 data_time: 0.0199 memory: 22681 loss: 2.4659 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4659 2022/10/30 02:13:16 - mmengine - INFO - Epoch(train) [17][140/660] lr: 9.5840e-03 eta: 16:01:55 time: 1.0248 data_time: 0.0182 memory: 22681 loss: 2.4662 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4662 2022/10/30 02:13:37 - mmengine - INFO - Epoch(train) [17][160/660] lr: 9.5821e-03 eta: 16:01:32 time: 1.0231 data_time: 0.0174 memory: 22681 loss: 2.5476 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5476 2022/10/30 02:13:57 - mmengine - INFO - Epoch(train) [17][180/660] lr: 9.5803e-03 eta: 16:01:11 time: 1.0339 data_time: 0.0222 memory: 22681 loss: 2.4315 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4315 2022/10/30 02:14:18 - mmengine - INFO - Epoch(train) [17][200/660] lr: 9.5784e-03 eta: 16:00:48 time: 1.0305 data_time: 0.0186 memory: 22681 loss: 2.5965 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5965 2022/10/30 02:14:38 - mmengine - INFO - Epoch(train) [17][220/660] lr: 9.5765e-03 eta: 16:00:26 time: 1.0249 data_time: 0.0180 memory: 22681 loss: 2.4853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.4853 2022/10/30 02:14:59 - mmengine - INFO - Epoch(train) [17][240/660] lr: 9.5746e-03 eta: 16:00:03 time: 1.0314 data_time: 0.0184 memory: 22681 loss: 2.3800 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3800 2022/10/30 02:15:20 - mmengine - INFO - Epoch(train) [17][260/660] lr: 9.5727e-03 eta: 15:59:42 time: 1.0394 data_time: 0.0217 memory: 22681 loss: 2.3739 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3739 2022/10/30 02:15:41 - mmengine - INFO - Epoch(train) [17][280/660] lr: 9.5708e-03 eta: 15:59:20 time: 1.0305 data_time: 0.0181 memory: 22681 loss: 2.5038 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5038 2022/10/30 02:16:01 - mmengine - INFO - Epoch(train) [17][300/660] lr: 9.5688e-03 eta: 15:58:57 time: 1.0272 data_time: 0.0182 memory: 22681 loss: 2.3820 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3820 2022/10/30 02:16:22 - mmengine - INFO - Epoch(train) [17][320/660] lr: 9.5669e-03 eta: 15:58:34 time: 1.0231 data_time: 0.0185 memory: 22681 loss: 2.4427 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4427 2022/10/30 02:16:42 - mmengine - INFO - Epoch(train) [17][340/660] lr: 9.5650e-03 eta: 15:58:13 time: 1.0352 data_time: 0.0236 memory: 22681 loss: 2.3825 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.3825 2022/10/30 02:17:03 - mmengine - INFO - Epoch(train) [17][360/660] lr: 9.5631e-03 eta: 15:57:51 time: 1.0368 data_time: 0.0184 memory: 22681 loss: 2.6330 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6330 2022/10/30 02:17:24 - mmengine - INFO - Epoch(train) [17][380/660] lr: 9.5612e-03 eta: 15:57:29 time: 1.0316 data_time: 0.0175 memory: 22681 loss: 2.3443 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3443 2022/10/30 02:17:44 - mmengine - INFO - Epoch(train) [17][400/660] lr: 9.5592e-03 eta: 15:57:07 time: 1.0272 data_time: 0.0179 memory: 22681 loss: 2.2080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2080 2022/10/30 02:18:05 - mmengine - INFO - Epoch(train) [17][420/660] lr: 9.5573e-03 eta: 15:56:45 time: 1.0401 data_time: 0.0233 memory: 22681 loss: 2.5334 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.5334 2022/10/30 02:18:26 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 02:18:26 - mmengine - INFO - Epoch(train) [17][440/660] lr: 9.5554e-03 eta: 15:56:24 time: 1.0339 data_time: 0.0175 memory: 22681 loss: 2.5455 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5455 2022/10/30 02:18:46 - mmengine - INFO - Epoch(train) [17][460/660] lr: 9.5534e-03 eta: 15:56:02 time: 1.0316 data_time: 0.0195 memory: 22681 loss: 2.4698 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.4698 2022/10/30 02:19:07 - mmengine - INFO - Epoch(train) [17][480/660] lr: 9.5515e-03 eta: 15:55:39 time: 1.0251 data_time: 0.0179 memory: 22681 loss: 2.3507 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3507 2022/10/30 02:19:27 - mmengine - INFO - Epoch(train) [17][500/660] lr: 9.5495e-03 eta: 15:55:17 time: 1.0338 data_time: 0.0223 memory: 22681 loss: 2.5052 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5052 2022/10/30 02:19:48 - mmengine - INFO - Epoch(train) [17][520/660] lr: 9.5476e-03 eta: 15:54:55 time: 1.0323 data_time: 0.0185 memory: 22681 loss: 2.5203 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.5203 2022/10/30 02:20:09 - mmengine - INFO - Epoch(train) [17][540/660] lr: 9.5456e-03 eta: 15:54:33 time: 1.0300 data_time: 0.0179 memory: 22681 loss: 2.4895 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4895 2022/10/30 02:20:29 - mmengine - INFO - Epoch(train) [17][560/660] lr: 9.5436e-03 eta: 15:54:10 time: 1.0264 data_time: 0.0182 memory: 22681 loss: 2.3988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3988 2022/10/30 02:20:50 - mmengine - INFO - Epoch(train) [17][580/660] lr: 9.5417e-03 eta: 15:53:49 time: 1.0393 data_time: 0.0225 memory: 22681 loss: 2.4938 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.4938 2022/10/30 02:21:11 - mmengine - INFO - Epoch(train) [17][600/660] lr: 9.5397e-03 eta: 15:53:27 time: 1.0330 data_time: 0.0184 memory: 22681 loss: 2.5979 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5979 2022/10/30 02:21:31 - mmengine - INFO - Epoch(train) [17][620/660] lr: 9.5377e-03 eta: 15:53:05 time: 1.0298 data_time: 0.0189 memory: 22681 loss: 2.5234 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.5234 2022/10/30 02:21:52 - mmengine - INFO - Epoch(train) [17][640/660] lr: 9.5357e-03 eta: 15:52:43 time: 1.0292 data_time: 0.0199 memory: 22681 loss: 2.4934 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.4934 2022/10/30 02:22:12 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 02:22:12 - mmengine - INFO - Epoch(train) [17][660/660] lr: 9.5338e-03 eta: 15:52:19 time: 1.0140 data_time: 0.0202 memory: 22681 loss: 2.4521 top1_acc: 0.5000 top5_acc: 0.6429 loss_cls: 2.4521 2022/10/30 02:22:15 - mmengine - INFO - Epoch(val) [17][20/194] eta: 0:00:23 time: 0.1337 data_time: 0.0320 memory: 2517 2022/10/30 02:22:17 - mmengine - INFO - Epoch(val) [17][40/194] eta: 0:00:16 time: 0.1090 data_time: 0.0075 memory: 2517 2022/10/30 02:22:19 - mmengine - INFO - Epoch(val) [17][60/194] eta: 0:00:14 time: 0.1092 data_time: 0.0073 memory: 2517 2022/10/30 02:22:21 - mmengine - INFO - Epoch(val) [17][80/194] eta: 0:00:12 time: 0.1086 data_time: 0.0074 memory: 2517 2022/10/30 02:22:24 - mmengine - INFO - Epoch(val) [17][100/194] eta: 0:00:10 time: 0.1086 data_time: 0.0075 memory: 2517 2022/10/30 02:22:26 - mmengine - INFO - Epoch(val) [17][120/194] eta: 0:00:08 time: 0.1084 data_time: 0.0074 memory: 2517 2022/10/30 02:22:28 - mmengine - INFO - Epoch(val) [17][140/194] eta: 0:00:05 time: 0.1079 data_time: 0.0073 memory: 2517 2022/10/30 02:22:30 - mmengine - INFO - Epoch(val) [17][160/194] eta: 0:00:03 time: 0.1081 data_time: 0.0072 memory: 2517 2022/10/30 02:22:32 - mmengine - INFO - Epoch(val) [17][180/194] eta: 0:00:01 time: 0.1080 data_time: 0.0072 memory: 2517 2022/10/30 02:22:35 - mmengine - INFO - Epoch(val) [17][194/194] acc/top1: 0.5987 acc/top5: 0.8696 acc/mean1: 0.5209 2022/10/30 02:22:35 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_16.pth is removed 2022/10/30 02:22:37 - mmengine - INFO - The best checkpoint with 0.5987 acc/top1 at 17 epoch is saved to best_acc/top1_epoch_17.pth. 2022/10/30 02:23:05 - mmengine - INFO - Epoch(train) [18][20/660] lr: 9.5318e-03 eta: 15:52:35 time: 1.4196 data_time: 0.3428 memory: 22681 loss: 2.4087 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4087 2022/10/30 02:23:26 - mmengine - INFO - Epoch(train) [18][40/660] lr: 9.5298e-03 eta: 15:52:12 time: 1.0227 data_time: 0.0188 memory: 22681 loss: 2.5272 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5272 2022/10/30 02:23:46 - mmengine - INFO - Epoch(train) [18][60/660] lr: 9.5278e-03 eta: 15:51:50 time: 1.0259 data_time: 0.0187 memory: 22681 loss: 2.4086 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4086 2022/10/30 02:24:07 - mmengine - INFO - Epoch(train) [18][80/660] lr: 9.5258e-03 eta: 15:51:27 time: 1.0238 data_time: 0.0185 memory: 22681 loss: 2.4119 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4119 2022/10/30 02:24:27 - mmengine - INFO - Epoch(train) [18][100/660] lr: 9.5238e-03 eta: 15:51:05 time: 1.0344 data_time: 0.0232 memory: 22681 loss: 2.6250 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6250 2022/10/30 02:24:48 - mmengine - INFO - Epoch(train) [18][120/660] lr: 9.5218e-03 eta: 15:50:43 time: 1.0319 data_time: 0.0182 memory: 22681 loss: 2.4722 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4722 2022/10/30 02:25:08 - mmengine - INFO - Epoch(train) [18][140/660] lr: 9.5198e-03 eta: 15:50:21 time: 1.0324 data_time: 0.0181 memory: 22681 loss: 2.5863 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5863 2022/10/30 02:25:29 - mmengine - INFO - Epoch(train) [18][160/660] lr: 9.5177e-03 eta: 15:49:58 time: 1.0238 data_time: 0.0188 memory: 22681 loss: 2.3696 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3696 2022/10/30 02:25:50 - mmengine - INFO - Epoch(train) [18][180/660] lr: 9.5157e-03 eta: 15:49:37 time: 1.0351 data_time: 0.0224 memory: 22681 loss: 2.4305 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.4305 2022/10/30 02:26:10 - mmengine - INFO - Epoch(train) [18][200/660] lr: 9.5137e-03 eta: 15:49:15 time: 1.0309 data_time: 0.0187 memory: 22681 loss: 2.5048 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5048 2022/10/30 02:26:31 - mmengine - INFO - Epoch(train) [18][220/660] lr: 9.5117e-03 eta: 15:48:52 time: 1.0288 data_time: 0.0183 memory: 22681 loss: 2.4035 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4035 2022/10/30 02:26:51 - mmengine - INFO - Epoch(train) [18][240/660] lr: 9.5096e-03 eta: 15:48:30 time: 1.0248 data_time: 0.0184 memory: 22681 loss: 2.4735 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4735 2022/10/30 02:27:12 - mmengine - INFO - Epoch(train) [18][260/660] lr: 9.5076e-03 eta: 15:48:08 time: 1.0353 data_time: 0.0226 memory: 22681 loss: 2.4967 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4967 2022/10/30 02:27:33 - mmengine - INFO - Epoch(train) [18][280/660] lr: 9.5056e-03 eta: 15:47:46 time: 1.0295 data_time: 0.0186 memory: 22681 loss: 2.3033 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3033 2022/10/30 02:27:53 - mmengine - INFO - Epoch(train) [18][300/660] lr: 9.5035e-03 eta: 15:47:23 time: 1.0286 data_time: 0.0179 memory: 22681 loss: 2.4823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4823 2022/10/30 02:28:14 - mmengine - INFO - Epoch(train) [18][320/660] lr: 9.5015e-03 eta: 15:47:01 time: 1.0228 data_time: 0.0179 memory: 22681 loss: 2.4504 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4504 2022/10/30 02:28:34 - mmengine - INFO - Epoch(train) [18][340/660] lr: 9.4994e-03 eta: 15:46:39 time: 1.0353 data_time: 0.0225 memory: 22681 loss: 2.4918 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.4918 2022/10/30 02:28:55 - mmengine - INFO - Epoch(train) [18][360/660] lr: 9.4974e-03 eta: 15:46:17 time: 1.0288 data_time: 0.0177 memory: 22681 loss: 2.4575 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4575 2022/10/30 02:29:16 - mmengine - INFO - Epoch(train) [18][380/660] lr: 9.4953e-03 eta: 15:45:55 time: 1.0335 data_time: 0.0189 memory: 22681 loss: 2.4658 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4658 2022/10/30 02:29:36 - mmengine - INFO - Epoch(train) [18][400/660] lr: 9.4932e-03 eta: 15:45:33 time: 1.0263 data_time: 0.0184 memory: 22681 loss: 2.6507 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6507 2022/10/30 02:29:57 - mmengine - INFO - Epoch(train) [18][420/660] lr: 9.4912e-03 eta: 15:45:11 time: 1.0368 data_time: 0.0234 memory: 22681 loss: 2.3600 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3600 2022/10/30 02:30:18 - mmengine - INFO - Epoch(train) [18][440/660] lr: 9.4891e-03 eta: 15:44:49 time: 1.0311 data_time: 0.0178 memory: 22681 loss: 2.4406 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4406 2022/10/30 02:30:38 - mmengine - INFO - Epoch(train) [18][460/660] lr: 9.4870e-03 eta: 15:44:27 time: 1.0308 data_time: 0.0174 memory: 22681 loss: 2.4453 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4453 2022/10/30 02:30:59 - mmengine - INFO - Epoch(train) [18][480/660] lr: 9.4849e-03 eta: 15:44:05 time: 1.0274 data_time: 0.0178 memory: 22681 loss: 2.4412 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 2.4412 2022/10/30 02:31:19 - mmengine - INFO - Epoch(train) [18][500/660] lr: 9.4829e-03 eta: 15:43:43 time: 1.0364 data_time: 0.0222 memory: 22681 loss: 2.4749 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4749 2022/10/30 02:31:40 - mmengine - INFO - Epoch(train) [18][520/660] lr: 9.4808e-03 eta: 15:43:21 time: 1.0306 data_time: 0.0176 memory: 22681 loss: 2.4309 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4309 2022/10/30 02:32:01 - mmengine - INFO - Epoch(train) [18][540/660] lr: 9.4787e-03 eta: 15:42:59 time: 1.0318 data_time: 0.0173 memory: 22681 loss: 2.4547 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4547 2022/10/30 02:32:21 - mmengine - INFO - Epoch(train) [18][560/660] lr: 9.4766e-03 eta: 15:42:37 time: 1.0272 data_time: 0.0174 memory: 22681 loss: 2.4845 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4845 2022/10/30 02:32:42 - mmengine - INFO - Epoch(train) [18][580/660] lr: 9.4745e-03 eta: 15:42:16 time: 1.0394 data_time: 0.0236 memory: 22681 loss: 2.4246 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.4246 2022/10/30 02:33:03 - mmengine - INFO - Epoch(train) [18][600/660] lr: 9.4724e-03 eta: 15:41:54 time: 1.0283 data_time: 0.0178 memory: 22681 loss: 2.4719 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4719 2022/10/30 02:33:23 - mmengine - INFO - Epoch(train) [18][620/660] lr: 9.4703e-03 eta: 15:41:31 time: 1.0267 data_time: 0.0180 memory: 22681 loss: 2.5457 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5457 2022/10/30 02:33:44 - mmengine - INFO - Epoch(train) [18][640/660] lr: 9.4682e-03 eta: 15:41:08 time: 1.0203 data_time: 0.0179 memory: 22681 loss: 2.2458 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2458 2022/10/30 02:34:04 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 02:34:04 - mmengine - INFO - Epoch(train) [18][660/660] lr: 9.4660e-03 eta: 15:40:45 time: 1.0178 data_time: 0.0192 memory: 22681 loss: 2.3915 top1_acc: 0.7857 top5_acc: 1.0000 loss_cls: 2.3915 2022/10/30 02:34:04 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/10/30 02:34:08 - mmengine - INFO - Epoch(val) [18][20/194] eta: 0:00:22 time: 0.1268 data_time: 0.0251 memory: 2517 2022/10/30 02:34:10 - mmengine - INFO - Epoch(val) [18][40/194] eta: 0:00:16 time: 0.1086 data_time: 0.0076 memory: 2517 2022/10/30 02:34:12 - mmengine - INFO - Epoch(val) [18][60/194] eta: 0:00:14 time: 0.1096 data_time: 0.0080 memory: 2517 2022/10/30 02:34:14 - mmengine - INFO - Epoch(val) [18][80/194] eta: 0:00:12 time: 0.1080 data_time: 0.0071 memory: 2517 2022/10/30 02:34:16 - mmengine - INFO - Epoch(val) [18][100/194] eta: 0:00:10 time: 0.1085 data_time: 0.0074 memory: 2517 2022/10/30 02:34:19 - mmengine - INFO - Epoch(val) [18][120/194] eta: 0:00:08 time: 0.1093 data_time: 0.0079 memory: 2517 2022/10/30 02:34:21 - mmengine - INFO - Epoch(val) [18][140/194] eta: 0:00:05 time: 0.1084 data_time: 0.0071 memory: 2517 2022/10/30 02:34:23 - mmengine - INFO - Epoch(val) [18][160/194] eta: 0:00:03 time: 0.1084 data_time: 0.0074 memory: 2517 2022/10/30 02:34:25 - mmengine - INFO - Epoch(val) [18][180/194] eta: 0:00:01 time: 0.1080 data_time: 0.0075 memory: 2517 2022/10/30 02:34:27 - mmengine - INFO - Epoch(val) [18][194/194] acc/top1: 0.6067 acc/top5: 0.8725 acc/mean1: 0.5234 2022/10/30 02:34:27 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_17.pth is removed 2022/10/30 02:34:29 - mmengine - INFO - The best checkpoint with 0.6067 acc/top1 at 18 epoch is saved to best_acc/top1_epoch_18.pth. 2022/10/30 02:34:57 - mmengine - INFO - Epoch(train) [19][20/660] lr: 9.4639e-03 eta: 15:40:55 time: 1.3864 data_time: 0.2447 memory: 22681 loss: 2.3813 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3813 2022/10/30 02:35:17 - mmengine - INFO - Epoch(train) [19][40/660] lr: 9.4618e-03 eta: 15:40:32 time: 1.0192 data_time: 0.0176 memory: 22681 loss: 2.3898 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.3898 2022/10/30 02:35:37 - mmengine - INFO - Epoch(train) [19][60/660] lr: 9.4597e-03 eta: 15:40:09 time: 1.0193 data_time: 0.0180 memory: 22681 loss: 2.3716 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3716 2022/10/30 02:35:58 - mmengine - INFO - Epoch(train) [19][80/660] lr: 9.4575e-03 eta: 15:39:46 time: 1.0192 data_time: 0.0180 memory: 22681 loss: 2.4145 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4145 2022/10/30 02:36:19 - mmengine - INFO - Epoch(train) [19][100/660] lr: 9.4554e-03 eta: 15:39:25 time: 1.0380 data_time: 0.0230 memory: 22681 loss: 2.3762 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3762 2022/10/30 02:36:39 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 02:36:39 - mmengine - INFO - Epoch(train) [19][120/660] lr: 9.4533e-03 eta: 15:39:03 time: 1.0262 data_time: 0.0182 memory: 22681 loss: 2.3696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3696 2022/10/30 02:37:00 - mmengine - INFO - Epoch(train) [19][140/660] lr: 9.4511e-03 eta: 15:38:40 time: 1.0211 data_time: 0.0179 memory: 22681 loss: 2.3243 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3243 2022/10/30 02:37:20 - mmengine - INFO - Epoch(train) [19][160/660] lr: 9.4490e-03 eta: 15:38:17 time: 1.0271 data_time: 0.0184 memory: 22681 loss: 2.3417 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3417 2022/10/30 02:37:41 - mmengine - INFO - Epoch(train) [19][180/660] lr: 9.4468e-03 eta: 15:37:57 time: 1.0449 data_time: 0.0242 memory: 22681 loss: 2.5259 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5259 2022/10/30 02:38:02 - mmengine - INFO - Epoch(train) [19][200/660] lr: 9.4447e-03 eta: 15:37:35 time: 1.0322 data_time: 0.0186 memory: 22681 loss: 2.4375 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4375 2022/10/30 02:38:22 - mmengine - INFO - Epoch(train) [19][220/660] lr: 9.4425e-03 eta: 15:37:12 time: 1.0246 data_time: 0.0175 memory: 22681 loss: 2.3460 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3460 2022/10/30 02:38:43 - mmengine - INFO - Epoch(train) [19][240/660] lr: 9.4403e-03 eta: 15:36:50 time: 1.0249 data_time: 0.0184 memory: 22681 loss: 2.4783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4783 2022/10/30 02:39:04 - mmengine - INFO - Epoch(train) [19][260/660] lr: 9.4382e-03 eta: 15:36:29 time: 1.0423 data_time: 0.0216 memory: 22681 loss: 2.5315 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.5315 2022/10/30 02:39:24 - mmengine - INFO - Epoch(train) [19][280/660] lr: 9.4360e-03 eta: 15:36:06 time: 1.0277 data_time: 0.0166 memory: 22681 loss: 2.3340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3340 2022/10/30 02:39:45 - mmengine - INFO - Epoch(train) [19][300/660] lr: 9.4338e-03 eta: 15:35:44 time: 1.0287 data_time: 0.0171 memory: 22681 loss: 2.5076 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5076 2022/10/30 02:40:05 - mmengine - INFO - Epoch(train) [19][320/660] lr: 9.4317e-03 eta: 15:35:22 time: 1.0208 data_time: 0.0192 memory: 22681 loss: 2.4662 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4662 2022/10/30 02:40:26 - mmengine - INFO - Epoch(train) [19][340/660] lr: 9.4295e-03 eta: 15:35:00 time: 1.0412 data_time: 0.0235 memory: 22681 loss: 2.3810 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3810 2022/10/30 02:40:47 - mmengine - INFO - Epoch(train) [19][360/660] lr: 9.4273e-03 eta: 15:34:39 time: 1.0311 data_time: 0.0215 memory: 22681 loss: 2.5444 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.5444 2022/10/30 02:41:07 - mmengine - INFO - Epoch(train) [19][380/660] lr: 9.4251e-03 eta: 15:34:16 time: 1.0231 data_time: 0.0170 memory: 22681 loss: 2.4501 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4501 2022/10/30 02:41:27 - mmengine - INFO - Epoch(train) [19][400/660] lr: 9.4229e-03 eta: 15:33:53 time: 1.0248 data_time: 0.0183 memory: 22681 loss: 2.4150 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4150 2022/10/30 02:41:48 - mmengine - INFO - Epoch(train) [19][420/660] lr: 9.4207e-03 eta: 15:33:33 time: 1.0420 data_time: 0.0228 memory: 22681 loss: 2.3328 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3328 2022/10/30 02:42:09 - mmengine - INFO - Epoch(train) [19][440/660] lr: 9.4185e-03 eta: 15:33:10 time: 1.0264 data_time: 0.0175 memory: 22681 loss: 2.3383 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3383 2022/10/30 02:42:29 - mmengine - INFO - Epoch(train) [19][460/660] lr: 9.4163e-03 eta: 15:32:48 time: 1.0257 data_time: 0.0189 memory: 22681 loss: 2.5599 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5599 2022/10/30 02:42:50 - mmengine - INFO - Epoch(train) [19][480/660] lr: 9.4141e-03 eta: 15:32:25 time: 1.0252 data_time: 0.0191 memory: 22681 loss: 2.5330 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5330 2022/10/30 02:43:11 - mmengine - INFO - Epoch(train) [19][500/660] lr: 9.4119e-03 eta: 15:32:04 time: 1.0401 data_time: 0.0226 memory: 22681 loss: 2.4447 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.4447 2022/10/30 02:43:31 - mmengine - INFO - Epoch(train) [19][520/660] lr: 9.4096e-03 eta: 15:31:42 time: 1.0266 data_time: 0.0173 memory: 22681 loss: 2.5178 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5178 2022/10/30 02:43:52 - mmengine - INFO - Epoch(train) [19][540/660] lr: 9.4074e-03 eta: 15:31:19 time: 1.0221 data_time: 0.0180 memory: 22681 loss: 2.3692 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3692 2022/10/30 02:44:12 - mmengine - INFO - Epoch(train) [19][560/660] lr: 9.4052e-03 eta: 15:30:57 time: 1.0297 data_time: 0.0182 memory: 22681 loss: 2.4129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4129 2022/10/30 02:44:33 - mmengine - INFO - Epoch(train) [19][580/660] lr: 9.4030e-03 eta: 15:30:36 time: 1.0419 data_time: 0.0217 memory: 22681 loss: 2.4530 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4530 2022/10/30 02:44:54 - mmengine - INFO - Epoch(train) [19][600/660] lr: 9.4007e-03 eta: 15:30:14 time: 1.0302 data_time: 0.0179 memory: 22681 loss: 2.3350 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3350 2022/10/30 02:45:14 - mmengine - INFO - Epoch(train) [19][620/660] lr: 9.3985e-03 eta: 15:29:52 time: 1.0243 data_time: 0.0167 memory: 22681 loss: 2.4356 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4356 2022/10/30 02:45:35 - mmengine - INFO - Epoch(train) [19][640/660] lr: 9.3963e-03 eta: 15:29:29 time: 1.0223 data_time: 0.0175 memory: 22681 loss: 2.4028 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.4028 2022/10/30 02:45:55 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 02:45:55 - mmengine - INFO - Epoch(train) [19][660/660] lr: 9.3940e-03 eta: 15:29:07 time: 1.0189 data_time: 0.0182 memory: 22681 loss: 2.4680 top1_acc: 0.5714 top5_acc: 0.7857 loss_cls: 2.4680 2022/10/30 02:45:58 - mmengine - INFO - Epoch(val) [19][20/194] eta: 0:00:23 time: 0.1360 data_time: 0.0345 memory: 2517 2022/10/30 02:46:00 - mmengine - INFO - Epoch(val) [19][40/194] eta: 0:00:16 time: 0.1082 data_time: 0.0070 memory: 2517 2022/10/30 02:46:02 - mmengine - INFO - Epoch(val) [19][60/194] eta: 0:00:14 time: 0.1093 data_time: 0.0081 memory: 2517 2022/10/30 02:46:04 - mmengine - INFO - Epoch(val) [19][80/194] eta: 0:00:12 time: 0.1094 data_time: 0.0081 memory: 2517 2022/10/30 02:46:06 - mmengine - INFO - Epoch(val) [19][100/194] eta: 0:00:10 time: 0.1088 data_time: 0.0076 memory: 2517 2022/10/30 02:46:09 - mmengine - INFO - Epoch(val) [19][120/194] eta: 0:00:08 time: 0.1093 data_time: 0.0081 memory: 2517 2022/10/30 02:46:11 - mmengine - INFO - Epoch(val) [19][140/194] eta: 0:00:05 time: 0.1086 data_time: 0.0075 memory: 2517 2022/10/30 02:46:13 - mmengine - INFO - Epoch(val) [19][160/194] eta: 0:00:03 time: 0.1079 data_time: 0.0072 memory: 2517 2022/10/30 02:46:15 - mmengine - INFO - Epoch(val) [19][180/194] eta: 0:00:01 time: 0.1089 data_time: 0.0076 memory: 2517 2022/10/30 02:46:18 - mmengine - INFO - Epoch(val) [19][194/194] acc/top1: 0.6079 acc/top5: 0.8767 acc/mean1: 0.5228 2022/10/30 02:46:18 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_18.pth is removed 2022/10/30 02:46:19 - mmengine - INFO - The best checkpoint with 0.6079 acc/top1 at 19 epoch is saved to best_acc/top1_epoch_19.pth. 2022/10/30 02:46:47 - mmengine - INFO - Epoch(train) [20][20/660] lr: 9.3918e-03 eta: 15:29:16 time: 1.3964 data_time: 0.2426 memory: 22681 loss: 2.3873 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3873 2022/10/30 02:47:08 - mmengine - INFO - Epoch(train) [20][40/660] lr: 9.3895e-03 eta: 15:28:53 time: 1.0214 data_time: 0.0190 memory: 22681 loss: 2.2846 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2846 2022/10/30 02:47:28 - mmengine - INFO - Epoch(train) [20][60/660] lr: 9.3873e-03 eta: 15:28:30 time: 1.0220 data_time: 0.0181 memory: 22681 loss: 2.4038 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4038 2022/10/30 02:47:48 - mmengine - INFO - Epoch(train) [20][80/660] lr: 9.3850e-03 eta: 15:28:07 time: 1.0186 data_time: 0.0186 memory: 22681 loss: 2.3890 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3890 2022/10/30 02:48:09 - mmengine - INFO - Epoch(train) [20][100/660] lr: 9.3827e-03 eta: 15:27:46 time: 1.0316 data_time: 0.0214 memory: 22681 loss: 2.2926 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2926 2022/10/30 02:48:29 - mmengine - INFO - Epoch(train) [20][120/660] lr: 9.3805e-03 eta: 15:27:23 time: 1.0243 data_time: 0.0182 memory: 22681 loss: 2.3436 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3436 2022/10/30 02:48:50 - mmengine - INFO - Epoch(train) [20][140/660] lr: 9.3782e-03 eta: 15:27:00 time: 1.0220 data_time: 0.0180 memory: 22681 loss: 2.3125 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3125 2022/10/30 02:49:10 - mmengine - INFO - Epoch(train) [20][160/660] lr: 9.3759e-03 eta: 15:26:38 time: 1.0230 data_time: 0.0182 memory: 22681 loss: 2.4809 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4809 2022/10/30 02:49:31 - mmengine - INFO - Epoch(train) [20][180/660] lr: 9.3736e-03 eta: 15:26:16 time: 1.0358 data_time: 0.0214 memory: 22681 loss: 2.4727 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4727 2022/10/30 02:49:52 - mmengine - INFO - Epoch(train) [20][200/660] lr: 9.3714e-03 eta: 15:25:55 time: 1.0305 data_time: 0.0183 memory: 22681 loss: 2.3351 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3351 2022/10/30 02:50:12 - mmengine - INFO - Epoch(train) [20][220/660] lr: 9.3691e-03 eta: 15:25:32 time: 1.0269 data_time: 0.0182 memory: 22681 loss: 2.3857 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3857 2022/10/30 02:50:33 - mmengine - INFO - Epoch(train) [20][240/660] lr: 9.3668e-03 eta: 15:25:10 time: 1.0227 data_time: 0.0218 memory: 22681 loss: 2.5144 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5144 2022/10/30 02:50:53 - mmengine - INFO - Epoch(train) [20][260/660] lr: 9.3645e-03 eta: 15:24:48 time: 1.0357 data_time: 0.0205 memory: 22681 loss: 2.5361 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5361 2022/10/30 02:51:14 - mmengine - INFO - Epoch(train) [20][280/660] lr: 9.3622e-03 eta: 15:24:26 time: 1.0263 data_time: 0.0172 memory: 22681 loss: 2.3148 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3148 2022/10/30 02:51:34 - mmengine - INFO - Epoch(train) [20][300/660] lr: 9.3599e-03 eta: 15:24:04 time: 1.0239 data_time: 0.0182 memory: 22681 loss: 2.3118 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3118 2022/10/30 02:51:55 - mmengine - INFO - Epoch(train) [20][320/660] lr: 9.3576e-03 eta: 15:23:41 time: 1.0214 data_time: 0.0181 memory: 22681 loss: 2.4003 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.4003 2022/10/30 02:52:16 - mmengine - INFO - Epoch(train) [20][340/660] lr: 9.3553e-03 eta: 15:23:19 time: 1.0350 data_time: 0.0206 memory: 22681 loss: 2.5946 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.5946 2022/10/30 02:52:36 - mmengine - INFO - Epoch(train) [20][360/660] lr: 9.3529e-03 eta: 15:22:58 time: 1.0344 data_time: 0.0171 memory: 22681 loss: 2.5675 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5675 2022/10/30 02:52:57 - mmengine - INFO - Epoch(train) [20][380/660] lr: 9.3506e-03 eta: 15:22:35 time: 1.0230 data_time: 0.0178 memory: 22681 loss: 2.4880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4880 2022/10/30 02:53:17 - mmengine - INFO - Epoch(train) [20][400/660] lr: 9.3483e-03 eta: 15:22:13 time: 1.0233 data_time: 0.0198 memory: 22681 loss: 2.2997 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2997 2022/10/30 02:53:38 - mmengine - INFO - Epoch(train) [20][420/660] lr: 9.3460e-03 eta: 15:21:52 time: 1.0364 data_time: 0.0213 memory: 22681 loss: 2.4469 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.4469 2022/10/30 02:53:59 - mmengine - INFO - Epoch(train) [20][440/660] lr: 9.3436e-03 eta: 15:21:30 time: 1.0325 data_time: 0.0185 memory: 22681 loss: 2.5045 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5045 2022/10/30 02:54:19 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 02:54:19 - mmengine - INFO - Epoch(train) [20][460/660] lr: 9.3413e-03 eta: 15:21:08 time: 1.0305 data_time: 0.0171 memory: 22681 loss: 2.4734 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4734 2022/10/30 02:54:40 - mmengine - INFO - Epoch(train) [20][480/660] lr: 9.3390e-03 eta: 15:20:46 time: 1.0261 data_time: 0.0177 memory: 22681 loss: 2.5315 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5315 2022/10/30 02:55:00 - mmengine - INFO - Epoch(train) [20][500/660] lr: 9.3366e-03 eta: 15:20:24 time: 1.0334 data_time: 0.0197 memory: 22681 loss: 2.4740 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4740 2022/10/30 02:55:21 - mmengine - INFO - Epoch(train) [20][520/660] lr: 9.3343e-03 eta: 15:20:02 time: 1.0301 data_time: 0.0170 memory: 22681 loss: 2.4690 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4690 2022/10/30 02:55:41 - mmengine - INFO - Epoch(train) [20][540/660] lr: 9.3319e-03 eta: 15:19:40 time: 1.0262 data_time: 0.0170 memory: 22681 loss: 2.4736 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.4736 2022/10/30 02:56:02 - mmengine - INFO - Epoch(train) [20][560/660] lr: 9.3296e-03 eta: 15:19:18 time: 1.0239 data_time: 0.0183 memory: 22681 loss: 2.5652 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5652 2022/10/30 02:56:23 - mmengine - INFO - Epoch(train) [20][580/660] lr: 9.3272e-03 eta: 15:18:56 time: 1.0366 data_time: 0.0208 memory: 22681 loss: 2.3980 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3980 2022/10/30 02:56:43 - mmengine - INFO - Epoch(train) [20][600/660] lr: 9.3249e-03 eta: 15:18:35 time: 1.0318 data_time: 0.0181 memory: 22681 loss: 2.4215 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4215 2022/10/30 02:57:04 - mmengine - INFO - Epoch(train) [20][620/660] lr: 9.3225e-03 eta: 15:18:13 time: 1.0277 data_time: 0.0179 memory: 22681 loss: 2.4921 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.4921 2022/10/30 02:57:24 - mmengine - INFO - Epoch(train) [20][640/660] lr: 9.3201e-03 eta: 15:17:50 time: 1.0191 data_time: 0.0190 memory: 22681 loss: 2.4341 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.4341 2022/10/30 02:57:45 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 02:57:45 - mmengine - INFO - Epoch(train) [20][660/660] lr: 9.3178e-03 eta: 15:17:27 time: 1.0154 data_time: 0.0193 memory: 22681 loss: 2.5333 top1_acc: 0.6429 top5_acc: 0.7143 loss_cls: 2.5333 2022/10/30 02:57:47 - mmengine - INFO - Epoch(val) [20][20/194] eta: 0:00:23 time: 0.1351 data_time: 0.0323 memory: 2517 2022/10/30 02:57:49 - mmengine - INFO - Epoch(val) [20][40/194] eta: 0:00:16 time: 0.1089 data_time: 0.0077 memory: 2517 2022/10/30 02:57:52 - mmengine - INFO - Epoch(val) [20][60/194] eta: 0:00:14 time: 0.1092 data_time: 0.0081 memory: 2517 2022/10/30 02:57:54 - mmengine - INFO - Epoch(val) [20][80/194] eta: 0:00:12 time: 0.1088 data_time: 0.0077 memory: 2517 2022/10/30 02:57:56 - mmengine - INFO - Epoch(val) [20][100/194] eta: 0:00:10 time: 0.1094 data_time: 0.0081 memory: 2517 2022/10/30 02:57:58 - mmengine - INFO - Epoch(val) [20][120/194] eta: 0:00:08 time: 0.1099 data_time: 0.0083 memory: 2517 2022/10/30 02:58:00 - mmengine - INFO - Epoch(val) [20][140/194] eta: 0:00:05 time: 0.1110 data_time: 0.0085 memory: 2517 2022/10/30 02:58:03 - mmengine - INFO - Epoch(val) [20][160/194] eta: 0:00:03 time: 0.1105 data_time: 0.0081 memory: 2517 2022/10/30 02:58:05 - mmengine - INFO - Epoch(val) [20][180/194] eta: 0:00:01 time: 0.1094 data_time: 0.0081 memory: 2517 2022/10/30 02:58:07 - mmengine - INFO - Epoch(val) [20][194/194] acc/top1: 0.6117 acc/top5: 0.8753 acc/mean1: 0.5324 2022/10/30 02:58:07 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_19.pth is removed 2022/10/30 02:58:09 - mmengine - INFO - The best checkpoint with 0.6117 acc/top1 at 20 epoch is saved to best_acc/top1_epoch_20.pth. 2022/10/30 02:58:37 - mmengine - INFO - Epoch(train) [21][20/660] lr: 9.3154e-03 eta: 15:17:35 time: 1.4062 data_time: 0.2282 memory: 22681 loss: 2.3225 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3225 2022/10/30 02:58:57 - mmengine - INFO - Epoch(train) [21][40/660] lr: 9.3130e-03 eta: 15:17:13 time: 1.0234 data_time: 0.0179 memory: 22681 loss: 2.4138 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4138 2022/10/30 02:59:18 - mmengine - INFO - Epoch(train) [21][60/660] lr: 9.3106e-03 eta: 15:16:50 time: 1.0205 data_time: 0.0184 memory: 22681 loss: 2.4423 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4423 2022/10/30 02:59:38 - mmengine - INFO - Epoch(train) [21][80/660] lr: 9.3082e-03 eta: 15:16:28 time: 1.0267 data_time: 0.0176 memory: 22681 loss: 2.4108 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4108 2022/10/30 02:59:59 - mmengine - INFO - Epoch(train) [21][100/660] lr: 9.3058e-03 eta: 15:16:06 time: 1.0359 data_time: 0.0234 memory: 22681 loss: 2.3159 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3159 2022/10/30 03:00:20 - mmengine - INFO - Epoch(train) [21][120/660] lr: 9.3034e-03 eta: 15:15:44 time: 1.0308 data_time: 0.0184 memory: 22681 loss: 2.4668 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4668 2022/10/30 03:00:40 - mmengine - INFO - Epoch(train) [21][140/660] lr: 9.3010e-03 eta: 15:15:22 time: 1.0248 data_time: 0.0185 memory: 22681 loss: 2.4885 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4885 2022/10/30 03:01:00 - mmengine - INFO - Epoch(train) [21][160/660] lr: 9.2986e-03 eta: 15:15:00 time: 1.0242 data_time: 0.0178 memory: 22681 loss: 2.3919 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3919 2022/10/30 03:01:21 - mmengine - INFO - Epoch(train) [21][180/660] lr: 9.2962e-03 eta: 15:14:39 time: 1.0448 data_time: 0.0269 memory: 22681 loss: 2.4484 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4484 2022/10/30 03:01:42 - mmengine - INFO - Epoch(train) [21][200/660] lr: 9.2938e-03 eta: 15:14:17 time: 1.0312 data_time: 0.0185 memory: 22681 loss: 2.4874 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4874 2022/10/30 03:02:02 - mmengine - INFO - Epoch(train) [21][220/660] lr: 9.2914e-03 eta: 15:13:55 time: 1.0234 data_time: 0.0189 memory: 22681 loss: 2.5180 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5180 2022/10/30 03:02:23 - mmengine - INFO - Epoch(train) [21][240/660] lr: 9.2890e-03 eta: 15:13:32 time: 1.0210 data_time: 0.0183 memory: 22681 loss: 2.3649 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3649 2022/10/30 03:02:44 - mmengine - INFO - Epoch(train) [21][260/660] lr: 9.2866e-03 eta: 15:13:11 time: 1.0349 data_time: 0.0226 memory: 22681 loss: 2.2778 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2778 2022/10/30 03:03:04 - mmengine - INFO - Epoch(train) [21][280/660] lr: 9.2841e-03 eta: 15:12:49 time: 1.0285 data_time: 0.0171 memory: 22681 loss: 2.3382 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3382 2022/10/30 03:03:25 - mmengine - INFO - Epoch(train) [21][300/660] lr: 9.2817e-03 eta: 15:12:27 time: 1.0260 data_time: 0.0184 memory: 22681 loss: 2.3653 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3653 2022/10/30 03:03:45 - mmengine - INFO - Epoch(train) [21][320/660] lr: 9.2793e-03 eta: 15:12:04 time: 1.0212 data_time: 0.0185 memory: 22681 loss: 2.4126 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4126 2022/10/30 03:04:06 - mmengine - INFO - Epoch(train) [21][340/660] lr: 9.2768e-03 eta: 15:11:43 time: 1.0347 data_time: 0.0246 memory: 22681 loss: 2.3894 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3894 2022/10/30 03:04:26 - mmengine - INFO - Epoch(train) [21][360/660] lr: 9.2744e-03 eta: 15:11:21 time: 1.0269 data_time: 0.0180 memory: 22681 loss: 2.4683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4683 2022/10/30 03:04:47 - mmengine - INFO - Epoch(train) [21][380/660] lr: 9.2720e-03 eta: 15:10:58 time: 1.0208 data_time: 0.0183 memory: 22681 loss: 2.5243 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5243 2022/10/30 03:05:07 - mmengine - INFO - Epoch(train) [21][400/660] lr: 9.2695e-03 eta: 15:10:36 time: 1.0202 data_time: 0.0184 memory: 22681 loss: 2.3471 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3471 2022/10/30 03:05:28 - mmengine - INFO - Epoch(train) [21][420/660] lr: 9.2671e-03 eta: 15:10:14 time: 1.0298 data_time: 0.0224 memory: 22681 loss: 2.4315 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4315 2022/10/30 03:05:48 - mmengine - INFO - Epoch(train) [21][440/660] lr: 9.2646e-03 eta: 15:09:52 time: 1.0269 data_time: 0.0173 memory: 22681 loss: 2.4286 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4286 2022/10/30 03:06:09 - mmengine - INFO - Epoch(train) [21][460/660] lr: 9.2621e-03 eta: 15:09:29 time: 1.0234 data_time: 0.0177 memory: 22681 loss: 2.1550 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1550 2022/10/30 03:06:29 - mmengine - INFO - Epoch(train) [21][480/660] lr: 9.2597e-03 eta: 15:09:07 time: 1.0248 data_time: 0.0178 memory: 22681 loss: 2.3182 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3182 2022/10/30 03:06:50 - mmengine - INFO - Epoch(train) [21][500/660] lr: 9.2572e-03 eta: 15:08:46 time: 1.0331 data_time: 0.0234 memory: 22681 loss: 2.5752 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5752 2022/10/30 03:07:11 - mmengine - INFO - Epoch(train) [21][520/660] lr: 9.2547e-03 eta: 15:08:24 time: 1.0299 data_time: 0.0181 memory: 22681 loss: 2.4350 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4350 2022/10/30 03:07:31 - mmengine - INFO - Epoch(train) [21][540/660] lr: 9.2523e-03 eta: 15:08:01 time: 1.0245 data_time: 0.0183 memory: 22681 loss: 2.4711 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4711 2022/10/30 03:07:51 - mmengine - INFO - Epoch(train) [21][560/660] lr: 9.2498e-03 eta: 15:07:39 time: 1.0231 data_time: 0.0185 memory: 22681 loss: 2.4799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4799 2022/10/30 03:08:12 - mmengine - INFO - Epoch(train) [21][580/660] lr: 9.2473e-03 eta: 15:07:18 time: 1.0339 data_time: 0.0225 memory: 22681 loss: 2.4125 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4125 2022/10/30 03:08:33 - mmengine - INFO - Epoch(train) [21][600/660] lr: 9.2448e-03 eta: 15:06:56 time: 1.0334 data_time: 0.0186 memory: 22681 loss: 2.3062 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3062 2022/10/30 03:08:53 - mmengine - INFO - Epoch(train) [21][620/660] lr: 9.2423e-03 eta: 15:06:34 time: 1.0294 data_time: 0.0184 memory: 22681 loss: 2.4178 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.4178 2022/10/30 03:09:14 - mmengine - INFO - Epoch(train) [21][640/660] lr: 9.2398e-03 eta: 15:06:12 time: 1.0205 data_time: 0.0192 memory: 22681 loss: 2.4792 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4792 2022/10/30 03:09:34 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 03:09:34 - mmengine - INFO - Epoch(train) [21][660/660] lr: 9.2373e-03 eta: 15:05:49 time: 1.0163 data_time: 0.0208 memory: 22681 loss: 2.4401 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.4401 2022/10/30 03:09:34 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/10/30 03:09:38 - mmengine - INFO - Epoch(val) [21][20/194] eta: 0:00:22 time: 0.1286 data_time: 0.0266 memory: 2517 2022/10/30 03:09:40 - mmengine - INFO - Epoch(val) [21][40/194] eta: 0:00:16 time: 0.1095 data_time: 0.0079 memory: 2517 2022/10/30 03:09:42 - mmengine - INFO - Epoch(val) [21][60/194] eta: 0:00:14 time: 0.1091 data_time: 0.0081 memory: 2517 2022/10/30 03:09:44 - mmengine - INFO - Epoch(val) [21][80/194] eta: 0:00:12 time: 0.1089 data_time: 0.0080 memory: 2517 2022/10/30 03:09:47 - mmengine - INFO - Epoch(val) [21][100/194] eta: 0:00:10 time: 0.1093 data_time: 0.0080 memory: 2517 2022/10/30 03:09:49 - mmengine - INFO - Epoch(val) [21][120/194] eta: 0:00:08 time: 0.1097 data_time: 0.0082 memory: 2517 2022/10/30 03:09:51 - mmengine - INFO - Epoch(val) [21][140/194] eta: 0:00:05 time: 0.1088 data_time: 0.0080 memory: 2517 2022/10/30 03:09:53 - mmengine - INFO - Epoch(val) [21][160/194] eta: 0:00:03 time: 0.1086 data_time: 0.0079 memory: 2517 2022/10/30 03:09:55 - mmengine - INFO - Epoch(val) [21][180/194] eta: 0:00:01 time: 0.1077 data_time: 0.0072 memory: 2517 2022/10/30 03:09:58 - mmengine - INFO - Epoch(val) [21][194/194] acc/top1: 0.6119 acc/top5: 0.8781 acc/mean1: 0.5298 2022/10/30 03:09:58 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_20.pth is removed 2022/10/30 03:09:59 - mmengine - INFO - The best checkpoint with 0.6119 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/10/30 03:10:27 - mmengine - INFO - Epoch(train) [22][20/660] lr: 9.2348e-03 eta: 15:05:54 time: 1.3931 data_time: 0.2894 memory: 22681 loss: 2.3268 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3268 2022/10/30 03:10:48 - mmengine - INFO - Epoch(train) [22][40/660] lr: 9.2323e-03 eta: 15:05:32 time: 1.0265 data_time: 0.0182 memory: 22681 loss: 2.3481 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3481 2022/10/30 03:11:08 - mmengine - INFO - Epoch(train) [22][60/660] lr: 9.2298e-03 eta: 15:05:10 time: 1.0213 data_time: 0.0190 memory: 22681 loss: 2.2739 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2739 2022/10/30 03:11:28 - mmengine - INFO - Epoch(train) [22][80/660] lr: 9.2273e-03 eta: 15:04:48 time: 1.0223 data_time: 0.0181 memory: 22681 loss: 2.4476 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4476 2022/10/30 03:11:49 - mmengine - INFO - Epoch(train) [22][100/660] lr: 9.2248e-03 eta: 15:04:27 time: 1.0424 data_time: 0.0238 memory: 22681 loss: 2.2279 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2279 2022/10/30 03:12:10 - mmengine - INFO - Epoch(train) [22][120/660] lr: 9.2223e-03 eta: 15:04:05 time: 1.0276 data_time: 0.0180 memory: 22681 loss: 2.4928 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4928 2022/10/30 03:12:30 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 03:12:30 - mmengine - INFO - Epoch(train) [22][140/660] lr: 9.2197e-03 eta: 15:03:42 time: 1.0250 data_time: 0.0178 memory: 22681 loss: 2.2182 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2182 2022/10/30 03:12:51 - mmengine - INFO - Epoch(train) [22][160/660] lr: 9.2172e-03 eta: 15:03:20 time: 1.0237 data_time: 0.0192 memory: 22681 loss: 2.3377 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.3377 2022/10/30 03:13:12 - mmengine - INFO - Epoch(train) [22][180/660] lr: 9.2147e-03 eta: 15:02:59 time: 1.0390 data_time: 0.0231 memory: 22681 loss: 2.1803 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1803 2022/10/30 03:13:32 - mmengine - INFO - Epoch(train) [22][200/660] lr: 9.2122e-03 eta: 15:02:37 time: 1.0282 data_time: 0.0190 memory: 22681 loss: 2.5193 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5193 2022/10/30 03:13:53 - mmengine - INFO - Epoch(train) [22][220/660] lr: 9.2096e-03 eta: 15:02:15 time: 1.0232 data_time: 0.0186 memory: 22681 loss: 2.5303 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5303 2022/10/30 03:14:13 - mmengine - INFO - Epoch(train) [22][240/660] lr: 9.2071e-03 eta: 15:01:53 time: 1.0246 data_time: 0.0184 memory: 22681 loss: 2.3362 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3362 2022/10/30 03:14:34 - mmengine - INFO - Epoch(train) [22][260/660] lr: 9.2045e-03 eta: 15:01:32 time: 1.0426 data_time: 0.0241 memory: 22681 loss: 2.3391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3391 2022/10/30 03:14:55 - mmengine - INFO - Epoch(train) [22][280/660] lr: 9.2020e-03 eta: 15:01:10 time: 1.0323 data_time: 0.0174 memory: 22681 loss: 2.3466 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3466 2022/10/30 03:15:15 - mmengine - INFO - Epoch(train) [22][300/660] lr: 9.1994e-03 eta: 15:00:48 time: 1.0246 data_time: 0.0189 memory: 22681 loss: 2.4480 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.4480 2022/10/30 03:15:36 - mmengine - INFO - Epoch(train) [22][320/660] lr: 9.1969e-03 eta: 15:00:26 time: 1.0267 data_time: 0.0190 memory: 22681 loss: 2.3591 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3591 2022/10/30 03:15:56 - mmengine - INFO - Epoch(train) [22][340/660] lr: 9.1943e-03 eta: 15:00:05 time: 1.0379 data_time: 0.0217 memory: 22681 loss: 2.4735 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4735 2022/10/30 03:16:17 - mmengine - INFO - Epoch(train) [22][360/660] lr: 9.1917e-03 eta: 14:59:43 time: 1.0294 data_time: 0.0180 memory: 22681 loss: 2.2594 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2594 2022/10/30 03:16:37 - mmengine - INFO - Epoch(train) [22][380/660] lr: 9.1892e-03 eta: 14:59:21 time: 1.0225 data_time: 0.0176 memory: 22681 loss: 2.4628 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.4628 2022/10/30 03:16:58 - mmengine - INFO - Epoch(train) [22][400/660] lr: 9.1866e-03 eta: 14:58:59 time: 1.0246 data_time: 0.0184 memory: 22681 loss: 2.2512 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2512 2022/10/30 03:17:19 - mmengine - INFO - Epoch(train) [22][420/660] lr: 9.1840e-03 eta: 14:58:38 time: 1.0417 data_time: 0.0224 memory: 22681 loss: 2.2627 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2627 2022/10/30 03:17:39 - mmengine - INFO - Epoch(train) [22][440/660] lr: 9.1814e-03 eta: 14:58:16 time: 1.0297 data_time: 0.0184 memory: 22681 loss: 2.3361 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3361 2022/10/30 03:18:00 - mmengine - INFO - Epoch(train) [22][460/660] lr: 9.1789e-03 eta: 14:57:54 time: 1.0232 data_time: 0.0179 memory: 22681 loss: 2.4908 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4908 2022/10/30 03:18:20 - mmengine - INFO - Epoch(train) [22][480/660] lr: 9.1763e-03 eta: 14:57:32 time: 1.0287 data_time: 0.0181 memory: 22681 loss: 2.2769 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2769 2022/10/30 03:18:41 - mmengine - INFO - Epoch(train) [22][500/660] lr: 9.1737e-03 eta: 14:57:11 time: 1.0401 data_time: 0.0215 memory: 22681 loss: 2.2284 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.2284 2022/10/30 03:19:02 - mmengine - INFO - Epoch(train) [22][520/660] lr: 9.1711e-03 eta: 14:56:49 time: 1.0318 data_time: 0.0170 memory: 22681 loss: 2.4111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4111 2022/10/30 03:19:22 - mmengine - INFO - Epoch(train) [22][540/660] lr: 9.1685e-03 eta: 14:56:27 time: 1.0231 data_time: 0.0167 memory: 22681 loss: 2.3544 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3544 2022/10/30 03:19:43 - mmengine - INFO - Epoch(train) [22][560/660] lr: 9.1659e-03 eta: 14:56:05 time: 1.0258 data_time: 0.0196 memory: 22681 loss: 2.5031 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5031 2022/10/30 03:20:04 - mmengine - INFO - Epoch(train) [22][580/660] lr: 9.1633e-03 eta: 14:55:44 time: 1.0446 data_time: 0.0227 memory: 22681 loss: 2.3049 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3049 2022/10/30 03:20:24 - mmengine - INFO - Epoch(train) [22][600/660] lr: 9.1607e-03 eta: 14:55:23 time: 1.0365 data_time: 0.0178 memory: 22681 loss: 2.4495 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.4495 2022/10/30 03:20:45 - mmengine - INFO - Epoch(train) [22][620/660] lr: 9.1581e-03 eta: 14:55:01 time: 1.0319 data_time: 0.0184 memory: 22681 loss: 2.3459 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3459 2022/10/30 03:21:06 - mmengine - INFO - Epoch(train) [22][640/660] lr: 9.1554e-03 eta: 14:54:39 time: 1.0249 data_time: 0.0209 memory: 22681 loss: 2.3072 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.3072 2022/10/30 03:21:26 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 03:21:26 - mmengine - INFO - Epoch(train) [22][660/660] lr: 9.1528e-03 eta: 14:54:17 time: 1.0170 data_time: 0.0200 memory: 22681 loss: 2.3768 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.3768 2022/10/30 03:21:29 - mmengine - INFO - Epoch(val) [22][20/194] eta: 0:00:23 time: 0.1354 data_time: 0.0335 memory: 2517 2022/10/30 03:21:31 - mmengine - INFO - Epoch(val) [22][40/194] eta: 0:00:16 time: 0.1091 data_time: 0.0079 memory: 2517 2022/10/30 03:21:33 - mmengine - INFO - Epoch(val) [22][60/194] eta: 0:00:14 time: 0.1099 data_time: 0.0083 memory: 2517 2022/10/30 03:21:35 - mmengine - INFO - Epoch(val) [22][80/194] eta: 0:00:12 time: 0.1099 data_time: 0.0079 memory: 2517 2022/10/30 03:21:38 - mmengine - INFO - Epoch(val) [22][100/194] eta: 0:00:10 time: 0.1118 data_time: 0.0088 memory: 2517 2022/10/30 03:21:40 - mmengine - INFO - Epoch(val) [22][120/194] eta: 0:00:08 time: 0.1103 data_time: 0.0084 memory: 2517 2022/10/30 03:21:42 - mmengine - INFO - Epoch(val) [22][140/194] eta: 0:00:05 time: 0.1099 data_time: 0.0081 memory: 2517 2022/10/30 03:21:44 - mmengine - INFO - Epoch(val) [22][160/194] eta: 0:00:03 time: 0.1094 data_time: 0.0084 memory: 2517 2022/10/30 03:21:46 - mmengine - INFO - Epoch(val) [22][180/194] eta: 0:00:01 time: 0.1099 data_time: 0.0086 memory: 2517 2022/10/30 03:21:49 - mmengine - INFO - Epoch(val) [22][194/194] acc/top1: 0.6153 acc/top5: 0.8820 acc/mean1: 0.5316 2022/10/30 03:21:49 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_21.pth is removed 2022/10/30 03:21:51 - mmengine - INFO - The best checkpoint with 0.6153 acc/top1 at 22 epoch is saved to best_acc/top1_epoch_22.pth. 2022/10/30 03:22:19 - mmengine - INFO - Epoch(train) [23][20/660] lr: 9.1502e-03 eta: 14:54:21 time: 1.3992 data_time: 0.2806 memory: 22681 loss: 2.3968 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3968 2022/10/30 03:22:39 - mmengine - INFO - Epoch(train) [23][40/660] lr: 9.1476e-03 eta: 14:53:58 time: 1.0172 data_time: 0.0185 memory: 22681 loss: 2.3393 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3393 2022/10/30 03:23:00 - mmengine - INFO - Epoch(train) [23][60/660] lr: 9.1449e-03 eta: 14:53:36 time: 1.0194 data_time: 0.0193 memory: 22681 loss: 2.2268 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2268 2022/10/30 03:23:20 - mmengine - INFO - Epoch(train) [23][80/660] lr: 9.1423e-03 eta: 14:53:13 time: 1.0177 data_time: 0.0200 memory: 22681 loss: 2.4345 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.4345 2022/10/30 03:23:41 - mmengine - INFO - Epoch(train) [23][100/660] lr: 9.1397e-03 eta: 14:52:52 time: 1.0389 data_time: 0.0238 memory: 22681 loss: 2.2636 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2636 2022/10/30 03:24:01 - mmengine - INFO - Epoch(train) [23][120/660] lr: 9.1370e-03 eta: 14:52:30 time: 1.0176 data_time: 0.0185 memory: 22681 loss: 2.3626 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3626 2022/10/30 03:24:22 - mmengine - INFO - Epoch(train) [23][140/660] lr: 9.1344e-03 eta: 14:52:07 time: 1.0216 data_time: 0.0184 memory: 22681 loss: 2.4557 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4557 2022/10/30 03:24:42 - mmengine - INFO - Epoch(train) [23][160/660] lr: 9.1317e-03 eta: 14:51:45 time: 1.0175 data_time: 0.0189 memory: 22681 loss: 2.4166 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.4166 2022/10/30 03:25:03 - mmengine - INFO - Epoch(train) [23][180/660] lr: 9.1291e-03 eta: 14:51:23 time: 1.0364 data_time: 0.0237 memory: 22681 loss: 2.3570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3570 2022/10/30 03:25:23 - mmengine - INFO - Epoch(train) [23][200/660] lr: 9.1264e-03 eta: 14:51:01 time: 1.0199 data_time: 0.0193 memory: 22681 loss: 2.2936 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2936 2022/10/30 03:25:43 - mmengine - INFO - Epoch(train) [23][220/660] lr: 9.1238e-03 eta: 14:50:38 time: 1.0177 data_time: 0.0190 memory: 22681 loss: 2.3231 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3231 2022/10/30 03:26:04 - mmengine - INFO - Epoch(train) [23][240/660] lr: 9.1211e-03 eta: 14:50:16 time: 1.0193 data_time: 0.0194 memory: 22681 loss: 2.3447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3447 2022/10/30 03:26:24 - mmengine - INFO - Epoch(train) [23][260/660] lr: 9.1184e-03 eta: 14:49:54 time: 1.0333 data_time: 0.0221 memory: 22681 loss: 2.4278 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4278 2022/10/30 03:26:45 - mmengine - INFO - Epoch(train) [23][280/660] lr: 9.1158e-03 eta: 14:49:32 time: 1.0214 data_time: 0.0182 memory: 22681 loss: 2.2340 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2340 2022/10/30 03:27:05 - mmengine - INFO - Epoch(train) [23][300/660] lr: 9.1131e-03 eta: 14:49:10 time: 1.0208 data_time: 0.0181 memory: 22681 loss: 2.3985 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.3985 2022/10/30 03:27:26 - mmengine - INFO - Epoch(train) [23][320/660] lr: 9.1104e-03 eta: 14:48:48 time: 1.0233 data_time: 0.0186 memory: 22681 loss: 2.2570 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2570 2022/10/30 03:27:46 - mmengine - INFO - Epoch(train) [23][340/660] lr: 9.1077e-03 eta: 14:48:26 time: 1.0346 data_time: 0.0232 memory: 22681 loss: 2.2137 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.2137 2022/10/30 03:28:07 - mmengine - INFO - Epoch(train) [23][360/660] lr: 9.1050e-03 eta: 14:48:04 time: 1.0219 data_time: 0.0181 memory: 22681 loss: 2.2225 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2225 2022/10/30 03:28:27 - mmengine - INFO - Epoch(train) [23][380/660] lr: 9.1024e-03 eta: 14:47:42 time: 1.0223 data_time: 0.0193 memory: 22681 loss: 2.4449 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4449 2022/10/30 03:28:48 - mmengine - INFO - Epoch(train) [23][400/660] lr: 9.0997e-03 eta: 14:47:19 time: 1.0219 data_time: 0.0200 memory: 22681 loss: 2.3684 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3684 2022/10/30 03:29:09 - mmengine - INFO - Epoch(train) [23][420/660] lr: 9.0970e-03 eta: 14:46:58 time: 1.0389 data_time: 0.0231 memory: 22681 loss: 2.3616 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3616 2022/10/30 03:29:29 - mmengine - INFO - Epoch(train) [23][440/660] lr: 9.0943e-03 eta: 14:46:36 time: 1.0238 data_time: 0.0182 memory: 22681 loss: 2.5218 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5218 2022/10/30 03:29:49 - mmengine - INFO - Epoch(train) [23][460/660] lr: 9.0916e-03 eta: 14:46:14 time: 1.0221 data_time: 0.0187 memory: 22681 loss: 2.3167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3167 2022/10/30 03:30:10 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 03:30:10 - mmengine - INFO - Epoch(train) [23][480/660] lr: 9.0888e-03 eta: 14:45:52 time: 1.0232 data_time: 0.0190 memory: 22681 loss: 2.4329 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4329 2022/10/30 03:30:31 - mmengine - INFO - Epoch(train) [23][500/660] lr: 9.0861e-03 eta: 14:45:31 time: 1.0361 data_time: 0.0242 memory: 22681 loss: 2.1796 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1796 2022/10/30 03:30:51 - mmengine - INFO - Epoch(train) [23][520/660] lr: 9.0834e-03 eta: 14:45:08 time: 1.0208 data_time: 0.0180 memory: 22681 loss: 2.3538 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3538 2022/10/30 03:31:12 - mmengine - INFO - Epoch(train) [23][540/660] lr: 9.0807e-03 eta: 14:44:47 time: 1.0296 data_time: 0.0187 memory: 22681 loss: 2.3977 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3977 2022/10/30 03:31:32 - mmengine - INFO - Epoch(train) [23][560/660] lr: 9.0780e-03 eta: 14:44:24 time: 1.0218 data_time: 0.0197 memory: 22681 loss: 2.4975 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4975 2022/10/30 03:31:53 - mmengine - INFO - Epoch(train) [23][580/660] lr: 9.0753e-03 eta: 14:44:03 time: 1.0370 data_time: 0.0238 memory: 22681 loss: 2.3306 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3306 2022/10/30 03:32:13 - mmengine - INFO - Epoch(train) [23][600/660] lr: 9.0725e-03 eta: 14:43:41 time: 1.0252 data_time: 0.0186 memory: 22681 loss: 2.4988 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.4988 2022/10/30 03:32:34 - mmengine - INFO - Epoch(train) [23][620/660] lr: 9.0698e-03 eta: 14:43:19 time: 1.0273 data_time: 0.0183 memory: 22681 loss: 2.3189 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3189 2022/10/30 03:32:54 - mmengine - INFO - Epoch(train) [23][640/660] lr: 9.0671e-03 eta: 14:42:57 time: 1.0203 data_time: 0.0200 memory: 22681 loss: 2.3109 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3109 2022/10/30 03:33:15 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 03:33:15 - mmengine - INFO - Epoch(train) [23][660/660] lr: 9.0643e-03 eta: 14:42:35 time: 1.0177 data_time: 0.0198 memory: 22681 loss: 2.4595 top1_acc: 0.5000 top5_acc: 0.6429 loss_cls: 2.4595 2022/10/30 03:33:17 - mmengine - INFO - Epoch(val) [23][20/194] eta: 0:00:22 time: 0.1319 data_time: 0.0308 memory: 2517 2022/10/30 03:33:19 - mmengine - INFO - Epoch(val) [23][40/194] eta: 0:00:16 time: 0.1103 data_time: 0.0083 memory: 2517 2022/10/30 03:33:22 - mmengine - INFO - Epoch(val) [23][60/194] eta: 0:00:14 time: 0.1085 data_time: 0.0076 memory: 2517 2022/10/30 03:33:24 - mmengine - INFO - Epoch(val) [23][80/194] eta: 0:00:12 time: 0.1089 data_time: 0.0075 memory: 2517 2022/10/30 03:33:26 - mmengine - INFO - Epoch(val) [23][100/194] eta: 0:00:10 time: 0.1080 data_time: 0.0074 memory: 2517 2022/10/30 03:33:28 - mmengine - INFO - Epoch(val) [23][120/194] eta: 0:00:07 time: 0.1079 data_time: 0.0073 memory: 2517 2022/10/30 03:33:30 - mmengine - INFO - Epoch(val) [23][140/194] eta: 0:00:05 time: 0.1080 data_time: 0.0075 memory: 2517 2022/10/30 03:33:32 - mmengine - INFO - Epoch(val) [23][160/194] eta: 0:00:03 time: 0.1079 data_time: 0.0072 memory: 2517 2022/10/30 03:33:35 - mmengine - INFO - Epoch(val) [23][180/194] eta: 0:00:01 time: 0.1082 data_time: 0.0075 memory: 2517 2022/10/30 03:33:38 - mmengine - INFO - Epoch(val) [23][194/194] acc/top1: 0.6178 acc/top5: 0.8815 acc/mean1: 0.5359 2022/10/30 03:33:38 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_22.pth is removed 2022/10/30 03:33:39 - mmengine - INFO - The best checkpoint with 0.6178 acc/top1 at 23 epoch is saved to best_acc/top1_epoch_23.pth. 2022/10/30 03:34:08 - mmengine - INFO - Epoch(train) [24][20/660] lr: 9.0616e-03 eta: 14:42:39 time: 1.4228 data_time: 0.2598 memory: 22681 loss: 2.4115 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4115 2022/10/30 03:34:28 - mmengine - INFO - Epoch(train) [24][40/660] lr: 9.0588e-03 eta: 14:42:17 time: 1.0229 data_time: 0.0200 memory: 22681 loss: 2.2175 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2175 2022/10/30 03:34:49 - mmengine - INFO - Epoch(train) [24][60/660] lr: 9.0561e-03 eta: 14:41:55 time: 1.0286 data_time: 0.0201 memory: 22681 loss: 2.3687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3687 2022/10/30 03:35:09 - mmengine - INFO - Epoch(train) [24][80/660] lr: 9.0533e-03 eta: 14:41:33 time: 1.0237 data_time: 0.0184 memory: 22681 loss: 2.3182 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3182 2022/10/30 03:35:30 - mmengine - INFO - Epoch(train) [24][100/660] lr: 9.0506e-03 eta: 14:41:12 time: 1.0357 data_time: 0.0196 memory: 22681 loss: 2.3969 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3969 2022/10/30 03:35:50 - mmengine - INFO - Epoch(train) [24][120/660] lr: 9.0478e-03 eta: 14:40:50 time: 1.0287 data_time: 0.0220 memory: 22681 loss: 2.1708 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1708 2022/10/30 03:36:11 - mmengine - INFO - Epoch(train) [24][140/660] lr: 9.0450e-03 eta: 14:40:28 time: 1.0298 data_time: 0.0194 memory: 22681 loss: 2.4056 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4056 2022/10/30 03:36:32 - mmengine - INFO - Epoch(train) [24][160/660] lr: 9.0423e-03 eta: 14:40:07 time: 1.0256 data_time: 0.0187 memory: 22681 loss: 2.3343 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3343 2022/10/30 03:36:52 - mmengine - INFO - Epoch(train) [24][180/660] lr: 9.0395e-03 eta: 14:39:45 time: 1.0366 data_time: 0.0184 memory: 22681 loss: 2.4288 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4288 2022/10/30 03:37:13 - mmengine - INFO - Epoch(train) [24][200/660] lr: 9.0367e-03 eta: 14:39:24 time: 1.0344 data_time: 0.0199 memory: 22681 loss: 2.2913 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2913 2022/10/30 03:37:34 - mmengine - INFO - Epoch(train) [24][220/660] lr: 9.0339e-03 eta: 14:39:02 time: 1.0293 data_time: 0.0186 memory: 22681 loss: 2.2538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2538 2022/10/30 03:37:54 - mmengine - INFO - Epoch(train) [24][240/660] lr: 9.0312e-03 eta: 14:38:40 time: 1.0273 data_time: 0.0190 memory: 22681 loss: 2.4225 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4225 2022/10/30 03:38:15 - mmengine - INFO - Epoch(train) [24][260/660] lr: 9.0284e-03 eta: 14:38:20 time: 1.0420 data_time: 0.0193 memory: 22681 loss: 2.2202 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2202 2022/10/30 03:38:36 - mmengine - INFO - Epoch(train) [24][280/660] lr: 9.0256e-03 eta: 14:37:58 time: 1.0294 data_time: 0.0221 memory: 22681 loss: 2.4291 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4291 2022/10/30 03:38:56 - mmengine - INFO - Epoch(train) [24][300/660] lr: 9.0228e-03 eta: 14:37:36 time: 1.0320 data_time: 0.0200 memory: 22681 loss: 2.3044 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3044 2022/10/30 03:39:17 - mmengine - INFO - Epoch(train) [24][320/660] lr: 9.0200e-03 eta: 14:37:14 time: 1.0255 data_time: 0.0193 memory: 22681 loss: 2.3379 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3379 2022/10/30 03:39:38 - mmengine - INFO - Epoch(train) [24][340/660] lr: 9.0172e-03 eta: 14:36:53 time: 1.0410 data_time: 0.0183 memory: 22681 loss: 2.3728 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3728 2022/10/30 03:39:58 - mmengine - INFO - Epoch(train) [24][360/660] lr: 9.0144e-03 eta: 14:36:32 time: 1.0337 data_time: 0.0217 memory: 22681 loss: 2.3067 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.3067 2022/10/30 03:40:19 - mmengine - INFO - Epoch(train) [24][380/660] lr: 9.0116e-03 eta: 14:36:10 time: 1.0295 data_time: 0.0198 memory: 22681 loss: 2.2939 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2939 2022/10/30 03:40:39 - mmengine - INFO - Epoch(train) [24][400/660] lr: 9.0088e-03 eta: 14:35:49 time: 1.0313 data_time: 0.0197 memory: 22681 loss: 2.2580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2580 2022/10/30 03:41:00 - mmengine - INFO - Epoch(train) [24][420/660] lr: 9.0060e-03 eta: 14:35:28 time: 1.0400 data_time: 0.0196 memory: 22681 loss: 2.4937 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4937 2022/10/30 03:41:21 - mmengine - INFO - Epoch(train) [24][440/660] lr: 9.0031e-03 eta: 14:35:06 time: 1.0329 data_time: 0.0224 memory: 22681 loss: 2.1767 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1767 2022/10/30 03:41:41 - mmengine - INFO - Epoch(train) [24][460/660] lr: 9.0003e-03 eta: 14:34:45 time: 1.0302 data_time: 0.0199 memory: 22681 loss: 2.3701 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3701 2022/10/30 03:42:02 - mmengine - INFO - Epoch(train) [24][480/660] lr: 8.9975e-03 eta: 14:34:23 time: 1.0311 data_time: 0.0193 memory: 22681 loss: 2.3379 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3379 2022/10/30 03:42:23 - mmengine - INFO - Epoch(train) [24][500/660] lr: 8.9947e-03 eta: 14:34:02 time: 1.0416 data_time: 0.0184 memory: 22681 loss: 2.3179 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3179 2022/10/30 03:42:44 - mmengine - INFO - Epoch(train) [24][520/660] lr: 8.9918e-03 eta: 14:33:41 time: 1.0337 data_time: 0.0219 memory: 22681 loss: 2.3947 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3947 2022/10/30 03:43:04 - mmengine - INFO - Epoch(train) [24][540/660] lr: 8.9890e-03 eta: 14:33:19 time: 1.0311 data_time: 0.0188 memory: 22681 loss: 2.3893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3893 2022/10/30 03:43:25 - mmengine - INFO - Epoch(train) [24][560/660] lr: 8.9862e-03 eta: 14:32:58 time: 1.0275 data_time: 0.0168 memory: 22681 loss: 2.1803 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1803 2022/10/30 03:43:46 - mmengine - INFO - Epoch(train) [24][580/660] lr: 8.9833e-03 eta: 14:32:37 time: 1.0457 data_time: 0.0175 memory: 22681 loss: 2.2798 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2798 2022/10/30 03:44:06 - mmengine - INFO - Epoch(train) [24][600/660] lr: 8.9805e-03 eta: 14:32:16 time: 1.0356 data_time: 0.0220 memory: 22681 loss: 2.2670 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.2670 2022/10/30 03:44:27 - mmengine - INFO - Epoch(train) [24][620/660] lr: 8.9776e-03 eta: 14:31:54 time: 1.0319 data_time: 0.0197 memory: 22681 loss: 2.3738 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3738 2022/10/30 03:44:48 - mmengine - INFO - Epoch(train) [24][640/660] lr: 8.9748e-03 eta: 14:31:32 time: 1.0257 data_time: 0.0188 memory: 22681 loss: 2.3481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3481 2022/10/30 03:45:08 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 03:45:08 - mmengine - INFO - Epoch(train) [24][660/660] lr: 8.9719e-03 eta: 14:31:10 time: 1.0176 data_time: 0.0178 memory: 22681 loss: 2.2814 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 2.2814 2022/10/30 03:45:08 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/10/30 03:45:12 - mmengine - INFO - Epoch(val) [24][20/194] eta: 0:00:22 time: 0.1271 data_time: 0.0252 memory: 2517 2022/10/30 03:45:14 - mmengine - INFO - Epoch(val) [24][40/194] eta: 0:00:16 time: 0.1094 data_time: 0.0079 memory: 2517 2022/10/30 03:45:16 - mmengine - INFO - Epoch(val) [24][60/194] eta: 0:00:14 time: 0.1075 data_time: 0.0073 memory: 2517 2022/10/30 03:45:18 - mmengine - INFO - Epoch(val) [24][80/194] eta: 0:00:12 time: 0.1100 data_time: 0.0083 memory: 2517 2022/10/30 03:45:20 - mmengine - INFO - Epoch(val) [24][100/194] eta: 0:00:10 time: 0.1089 data_time: 0.0080 memory: 2517 2022/10/30 03:45:23 - mmengine - INFO - Epoch(val) [24][120/194] eta: 0:00:08 time: 0.1090 data_time: 0.0077 memory: 2517 2022/10/30 03:45:25 - mmengine - INFO - Epoch(val) [24][140/194] eta: 0:00:05 time: 0.1087 data_time: 0.0076 memory: 2517 2022/10/30 03:45:27 - mmengine - INFO - Epoch(val) [24][160/194] eta: 0:00:03 time: 0.1091 data_time: 0.0077 memory: 2517 2022/10/30 03:45:29 - mmengine - INFO - Epoch(val) [24][180/194] eta: 0:00:01 time: 0.1078 data_time: 0.0073 memory: 2517 2022/10/30 03:45:31 - mmengine - INFO - Epoch(val) [24][194/194] acc/top1: 0.6151 acc/top5: 0.8821 acc/mean1: 0.5383 2022/10/30 03:46:01 - mmengine - INFO - Epoch(train) [25][20/660] lr: 8.9690e-03 eta: 14:31:15 time: 1.4592 data_time: 0.3318 memory: 22681 loss: 2.3460 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3460 2022/10/30 03:46:21 - mmengine - INFO - Epoch(train) [25][40/660] lr: 8.9662e-03 eta: 14:30:54 time: 1.0302 data_time: 0.0176 memory: 22681 loss: 2.1642 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1642 2022/10/30 03:46:42 - mmengine - INFO - Epoch(train) [25][60/660] lr: 8.9633e-03 eta: 14:30:33 time: 1.0358 data_time: 0.0187 memory: 22681 loss: 2.2742 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2742 2022/10/30 03:47:02 - mmengine - INFO - Epoch(train) [25][80/660] lr: 8.9604e-03 eta: 14:30:11 time: 1.0280 data_time: 0.0184 memory: 22681 loss: 2.5802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5802 2022/10/30 03:47:23 - mmengine - INFO - Epoch(train) [25][100/660] lr: 8.9576e-03 eta: 14:29:50 time: 1.0455 data_time: 0.0231 memory: 22681 loss: 2.2290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2290 2022/10/30 03:47:44 - mmengine - INFO - Epoch(train) [25][120/660] lr: 8.9547e-03 eta: 14:29:29 time: 1.0369 data_time: 0.0185 memory: 22681 loss: 2.3267 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3267 2022/10/30 03:48:05 - mmengine - INFO - Epoch(train) [25][140/660] lr: 8.9518e-03 eta: 14:29:08 time: 1.0459 data_time: 0.0187 memory: 22681 loss: 2.3669 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3669 2022/10/30 03:48:26 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 03:48:26 - mmengine - INFO - Epoch(train) [25][160/660] lr: 8.9489e-03 eta: 14:28:47 time: 1.0305 data_time: 0.0173 memory: 22681 loss: 2.2357 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2357 2022/10/30 03:48:47 - mmengine - INFO - Epoch(train) [25][180/660] lr: 8.9460e-03 eta: 14:28:26 time: 1.0470 data_time: 0.0221 memory: 22681 loss: 2.3741 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3741 2022/10/30 03:49:07 - mmengine - INFO - Epoch(train) [25][200/660] lr: 8.9431e-03 eta: 14:28:05 time: 1.0394 data_time: 0.0169 memory: 22681 loss: 2.2899 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2899 2022/10/30 03:49:28 - mmengine - INFO - Epoch(train) [25][220/660] lr: 8.9402e-03 eta: 14:27:44 time: 1.0371 data_time: 0.0179 memory: 22681 loss: 2.4171 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4171 2022/10/30 03:49:49 - mmengine - INFO - Epoch(train) [25][240/660] lr: 8.9373e-03 eta: 14:27:22 time: 1.0304 data_time: 0.0172 memory: 22681 loss: 2.2880 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2880 2022/10/30 03:50:10 - mmengine - INFO - Epoch(train) [25][260/660] lr: 8.9344e-03 eta: 14:27:02 time: 1.0453 data_time: 0.0218 memory: 22681 loss: 2.3961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3961 2022/10/30 03:50:30 - mmengine - INFO - Epoch(train) [25][280/660] lr: 8.9315e-03 eta: 14:26:40 time: 1.0359 data_time: 0.0180 memory: 22681 loss: 2.3081 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3081 2022/10/30 03:50:51 - mmengine - INFO - Epoch(train) [25][300/660] lr: 8.9286e-03 eta: 14:26:19 time: 1.0378 data_time: 0.0185 memory: 22681 loss: 2.2615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2615 2022/10/30 03:51:12 - mmengine - INFO - Epoch(train) [25][320/660] lr: 8.9257e-03 eta: 14:25:58 time: 1.0309 data_time: 0.0183 memory: 22681 loss: 2.3423 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3423 2022/10/30 03:51:33 - mmengine - INFO - Epoch(train) [25][340/660] lr: 8.9228e-03 eta: 14:25:37 time: 1.0468 data_time: 0.0231 memory: 22681 loss: 2.3276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3276 2022/10/30 03:51:53 - mmengine - INFO - Epoch(train) [25][360/660] lr: 8.9199e-03 eta: 14:25:16 time: 1.0420 data_time: 0.0180 memory: 22681 loss: 2.3028 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.3028 2022/10/30 03:52:14 - mmengine - INFO - Epoch(train) [25][380/660] lr: 8.9170e-03 eta: 14:24:55 time: 1.0421 data_time: 0.0181 memory: 22681 loss: 2.1775 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1775 2022/10/30 03:52:35 - mmengine - INFO - Epoch(train) [25][400/660] lr: 8.9140e-03 eta: 14:24:34 time: 1.0366 data_time: 0.0173 memory: 22681 loss: 2.1920 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1920 2022/10/30 03:52:56 - mmengine - INFO - Epoch(train) [25][420/660] lr: 8.9111e-03 eta: 14:24:14 time: 1.0483 data_time: 0.0223 memory: 22681 loss: 2.3100 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3100 2022/10/30 03:53:17 - mmengine - INFO - Epoch(train) [25][440/660] lr: 8.9082e-03 eta: 14:23:52 time: 1.0353 data_time: 0.0180 memory: 22681 loss: 2.3204 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3204 2022/10/30 03:53:38 - mmengine - INFO - Epoch(train) [25][460/660] lr: 8.9052e-03 eta: 14:23:31 time: 1.0424 data_time: 0.0192 memory: 22681 loss: 2.3665 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3665 2022/10/30 03:53:58 - mmengine - INFO - Epoch(train) [25][480/660] lr: 8.9023e-03 eta: 14:23:10 time: 1.0314 data_time: 0.0179 memory: 22681 loss: 2.2264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2264 2022/10/30 03:54:19 - mmengine - INFO - Epoch(train) [25][500/660] lr: 8.8993e-03 eta: 14:22:49 time: 1.0471 data_time: 0.0230 memory: 22681 loss: 2.3065 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3065 2022/10/30 03:54:40 - mmengine - INFO - Epoch(train) [25][520/660] lr: 8.8964e-03 eta: 14:22:28 time: 1.0362 data_time: 0.0181 memory: 22681 loss: 2.2945 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2945 2022/10/30 03:55:01 - mmengine - INFO - Epoch(train) [25][540/660] lr: 8.8934e-03 eta: 14:22:07 time: 1.0386 data_time: 0.0180 memory: 22681 loss: 2.4061 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4061 2022/10/30 03:55:21 - mmengine - INFO - Epoch(train) [25][560/660] lr: 8.8905e-03 eta: 14:21:46 time: 1.0339 data_time: 0.0181 memory: 22681 loss: 2.2298 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2298 2022/10/30 03:55:42 - mmengine - INFO - Epoch(train) [25][580/660] lr: 8.8875e-03 eta: 14:21:25 time: 1.0525 data_time: 0.0280 memory: 22681 loss: 2.2086 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2086 2022/10/30 03:56:03 - mmengine - INFO - Epoch(train) [25][600/660] lr: 8.8846e-03 eta: 14:21:04 time: 1.0334 data_time: 0.0185 memory: 22681 loss: 2.5516 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5516 2022/10/30 03:56:24 - mmengine - INFO - Epoch(train) [25][620/660] lr: 8.8816e-03 eta: 14:20:43 time: 1.0434 data_time: 0.0203 memory: 22681 loss: 2.3076 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3076 2022/10/30 03:56:45 - mmengine - INFO - Epoch(train) [25][640/660] lr: 8.8786e-03 eta: 14:20:22 time: 1.0290 data_time: 0.0196 memory: 22681 loss: 2.3382 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3382 2022/10/30 03:57:05 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 03:57:05 - mmengine - INFO - Epoch(train) [25][660/660] lr: 8.8757e-03 eta: 14:19:59 time: 1.0189 data_time: 0.0208 memory: 22681 loss: 2.3933 top1_acc: 0.4286 top5_acc: 0.6429 loss_cls: 2.3933 2022/10/30 03:57:08 - mmengine - INFO - Epoch(val) [25][20/194] eta: 0:00:23 time: 0.1368 data_time: 0.0341 memory: 2517 2022/10/30 03:57:10 - mmengine - INFO - Epoch(val) [25][40/194] eta: 0:00:16 time: 0.1093 data_time: 0.0080 memory: 2517 2022/10/30 03:57:12 - mmengine - INFO - Epoch(val) [25][60/194] eta: 0:00:14 time: 0.1084 data_time: 0.0073 memory: 2517 2022/10/30 03:57:14 - mmengine - INFO - Epoch(val) [25][80/194] eta: 0:00:12 time: 0.1097 data_time: 0.0078 memory: 2517 2022/10/30 03:57:16 - mmengine - INFO - Epoch(val) [25][100/194] eta: 0:00:10 time: 0.1103 data_time: 0.0081 memory: 2517 2022/10/30 03:57:19 - mmengine - INFO - Epoch(val) [25][120/194] eta: 0:00:08 time: 0.1127 data_time: 0.0097 memory: 2517 2022/10/30 03:57:21 - mmengine - INFO - Epoch(val) [25][140/194] eta: 0:00:05 time: 0.1085 data_time: 0.0077 memory: 2517 2022/10/30 03:57:23 - mmengine - INFO - Epoch(val) [25][160/194] eta: 0:00:03 time: 0.1088 data_time: 0.0079 memory: 2517 2022/10/30 03:57:25 - mmengine - INFO - Epoch(val) [25][180/194] eta: 0:00:01 time: 0.1083 data_time: 0.0076 memory: 2517 2022/10/30 03:57:28 - mmengine - INFO - Epoch(val) [25][194/194] acc/top1: 0.6230 acc/top5: 0.8836 acc/mean1: 0.5417 2022/10/30 03:57:28 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_23.pth is removed 2022/10/30 03:57:30 - mmengine - INFO - The best checkpoint with 0.6230 acc/top1 at 25 epoch is saved to best_acc/top1_epoch_25.pth. 2022/10/30 03:57:58 - mmengine - INFO - Epoch(train) [26][20/660] lr: 8.8727e-03 eta: 14:19:59 time: 1.3848 data_time: 0.2839 memory: 22681 loss: 2.4151 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4151 2022/10/30 03:58:18 - mmengine - INFO - Epoch(train) [26][40/660] lr: 8.8697e-03 eta: 14:19:36 time: 1.0164 data_time: 0.0188 memory: 22681 loss: 2.2024 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2024 2022/10/30 03:58:39 - mmengine - INFO - Epoch(train) [26][60/660] lr: 8.8667e-03 eta: 14:19:15 time: 1.0249 data_time: 0.0178 memory: 22681 loss: 2.2881 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2881 2022/10/30 03:58:59 - mmengine - INFO - Epoch(train) [26][80/660] lr: 8.8637e-03 eta: 14:18:52 time: 1.0184 data_time: 0.0191 memory: 22681 loss: 2.3669 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3669 2022/10/30 03:59:20 - mmengine - INFO - Epoch(train) [26][100/660] lr: 8.8608e-03 eta: 14:18:31 time: 1.0381 data_time: 0.0230 memory: 22681 loss: 2.3715 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3715 2022/10/30 03:59:40 - mmengine - INFO - Epoch(train) [26][120/660] lr: 8.8578e-03 eta: 14:18:09 time: 1.0208 data_time: 0.0184 memory: 22681 loss: 2.2165 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2165 2022/10/30 04:00:01 - mmengine - INFO - Epoch(train) [26][140/660] lr: 8.8548e-03 eta: 14:17:47 time: 1.0193 data_time: 0.0174 memory: 22681 loss: 2.3357 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3357 2022/10/30 04:00:21 - mmengine - INFO - Epoch(train) [26][160/660] lr: 8.8518e-03 eta: 14:17:25 time: 1.0230 data_time: 0.0192 memory: 22681 loss: 2.2637 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2637 2022/10/30 04:00:42 - mmengine - INFO - Epoch(train) [26][180/660] lr: 8.8488e-03 eta: 14:17:04 time: 1.0413 data_time: 0.0227 memory: 22681 loss: 2.3710 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3710 2022/10/30 04:01:02 - mmengine - INFO - Epoch(train) [26][200/660] lr: 8.8458e-03 eta: 14:16:42 time: 1.0238 data_time: 0.0189 memory: 22681 loss: 2.2719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2719 2022/10/30 04:01:23 - mmengine - INFO - Epoch(train) [26][220/660] lr: 8.8428e-03 eta: 14:16:20 time: 1.0233 data_time: 0.0188 memory: 22681 loss: 2.4244 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.4244 2022/10/30 04:01:43 - mmengine - INFO - Epoch(train) [26][240/660] lr: 8.8397e-03 eta: 14:15:58 time: 1.0223 data_time: 0.0182 memory: 22681 loss: 2.3666 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3666 2022/10/30 04:02:04 - mmengine - INFO - Epoch(train) [26][260/660] lr: 8.8367e-03 eta: 14:15:37 time: 1.0385 data_time: 0.0228 memory: 22681 loss: 2.2240 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2240 2022/10/30 04:02:24 - mmengine - INFO - Epoch(train) [26][280/660] lr: 8.8337e-03 eta: 14:15:15 time: 1.0244 data_time: 0.0173 memory: 22681 loss: 2.2357 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2357 2022/10/30 04:02:45 - mmengine - INFO - Epoch(train) [26][300/660] lr: 8.8307e-03 eta: 14:14:53 time: 1.0218 data_time: 0.0173 memory: 22681 loss: 2.2692 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2692 2022/10/30 04:03:05 - mmengine - INFO - Epoch(train) [26][320/660] lr: 8.8277e-03 eta: 14:14:31 time: 1.0218 data_time: 0.0173 memory: 22681 loss: 2.0878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0878 2022/10/30 04:03:26 - mmengine - INFO - Epoch(train) [26][340/660] lr: 8.8246e-03 eta: 14:14:09 time: 1.0377 data_time: 0.0220 memory: 22681 loss: 2.3000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3000 2022/10/30 04:03:47 - mmengine - INFO - Epoch(train) [26][360/660] lr: 8.8216e-03 eta: 14:13:48 time: 1.0241 data_time: 0.0176 memory: 22681 loss: 2.2883 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2883 2022/10/30 04:04:07 - mmengine - INFO - Epoch(train) [26][380/660] lr: 8.8186e-03 eta: 14:13:26 time: 1.0250 data_time: 0.0179 memory: 22681 loss: 2.4001 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4001 2022/10/30 04:04:27 - mmengine - INFO - Epoch(train) [26][400/660] lr: 8.8155e-03 eta: 14:13:03 time: 1.0194 data_time: 0.0190 memory: 22681 loss: 2.2929 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2929 2022/10/30 04:04:48 - mmengine - INFO - Epoch(train) [26][420/660] lr: 8.8125e-03 eta: 14:12:43 time: 1.0427 data_time: 0.0281 memory: 22681 loss: 2.2445 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2445 2022/10/30 04:05:09 - mmengine - INFO - Epoch(train) [26][440/660] lr: 8.8094e-03 eta: 14:12:21 time: 1.0314 data_time: 0.0184 memory: 22681 loss: 2.3403 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3403 2022/10/30 04:05:29 - mmengine - INFO - Epoch(train) [26][460/660] lr: 8.8064e-03 eta: 14:11:59 time: 1.0228 data_time: 0.0178 memory: 22681 loss: 2.2898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2898 2022/10/30 04:05:50 - mmengine - INFO - Epoch(train) [26][480/660] lr: 8.8033e-03 eta: 14:11:37 time: 1.0234 data_time: 0.0174 memory: 22681 loss: 2.3733 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3733 2022/10/30 04:06:11 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 04:06:11 - mmengine - INFO - Epoch(train) [26][500/660] lr: 8.8003e-03 eta: 14:11:16 time: 1.0428 data_time: 0.0207 memory: 22681 loss: 2.3763 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3763 2022/10/30 04:06:31 - mmengine - INFO - Epoch(train) [26][520/660] lr: 8.7972e-03 eta: 14:10:55 time: 1.0255 data_time: 0.0178 memory: 22681 loss: 2.1875 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1875 2022/10/30 04:06:52 - mmengine - INFO - Epoch(train) [26][540/660] lr: 8.7941e-03 eta: 14:10:33 time: 1.0222 data_time: 0.0181 memory: 22681 loss: 2.3735 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3735 2022/10/30 04:07:12 - mmengine - INFO - Epoch(train) [26][560/660] lr: 8.7911e-03 eta: 14:10:11 time: 1.0230 data_time: 0.0176 memory: 22681 loss: 2.3089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3089 2022/10/30 04:07:33 - mmengine - INFO - Epoch(train) [26][580/660] lr: 8.7880e-03 eta: 14:09:49 time: 1.0346 data_time: 0.0232 memory: 22681 loss: 2.3719 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3719 2022/10/30 04:07:53 - mmengine - INFO - Epoch(train) [26][600/660] lr: 8.7849e-03 eta: 14:09:28 time: 1.0284 data_time: 0.0186 memory: 22681 loss: 2.2830 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2830 2022/10/30 04:08:14 - mmengine - INFO - Epoch(train) [26][620/660] lr: 8.7819e-03 eta: 14:09:06 time: 1.0224 data_time: 0.0172 memory: 22681 loss: 2.4793 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4793 2022/10/30 04:08:34 - mmengine - INFO - Epoch(train) [26][640/660] lr: 8.7788e-03 eta: 14:08:44 time: 1.0219 data_time: 0.0190 memory: 22681 loss: 2.3551 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3551 2022/10/30 04:08:55 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 04:08:55 - mmengine - INFO - Epoch(train) [26][660/660] lr: 8.7757e-03 eta: 14:08:21 time: 1.0119 data_time: 0.0174 memory: 22681 loss: 2.2619 top1_acc: 0.7857 top5_acc: 1.0000 loss_cls: 2.2619 2022/10/30 04:08:57 - mmengine - INFO - Epoch(val) [26][20/194] eta: 0:00:22 time: 0.1291 data_time: 0.0280 memory: 2517 2022/10/30 04:08:59 - mmengine - INFO - Epoch(val) [26][40/194] eta: 0:00:16 time: 0.1078 data_time: 0.0074 memory: 2517 2022/10/30 04:09:01 - mmengine - INFO - Epoch(val) [26][60/194] eta: 0:00:14 time: 0.1079 data_time: 0.0075 memory: 2517 2022/10/30 04:09:04 - mmengine - INFO - Epoch(val) [26][80/194] eta: 0:00:12 time: 0.1090 data_time: 0.0079 memory: 2517 2022/10/30 04:09:06 - mmengine - INFO - Epoch(val) [26][100/194] eta: 0:00:10 time: 0.1089 data_time: 0.0077 memory: 2517 2022/10/30 04:09:08 - mmengine - INFO - Epoch(val) [26][120/194] eta: 0:00:08 time: 0.1091 data_time: 0.0079 memory: 2517 2022/10/30 04:09:10 - mmengine - INFO - Epoch(val) [26][140/194] eta: 0:00:05 time: 0.1083 data_time: 0.0075 memory: 2517 2022/10/30 04:09:12 - mmengine - INFO - Epoch(val) [26][160/194] eta: 0:00:03 time: 0.1089 data_time: 0.0077 memory: 2517 2022/10/30 04:09:15 - mmengine - INFO - Epoch(val) [26][180/194] eta: 0:00:01 time: 0.1085 data_time: 0.0076 memory: 2517 2022/10/30 04:09:18 - mmengine - INFO - Epoch(val) [26][194/194] acc/top1: 0.6259 acc/top5: 0.8856 acc/mean1: 0.5478 2022/10/30 04:09:18 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_25.pth is removed 2022/10/30 04:09:19 - mmengine - INFO - The best checkpoint with 0.6259 acc/top1 at 26 epoch is saved to best_acc/top1_epoch_26.pth. 2022/10/30 04:09:47 - mmengine - INFO - Epoch(train) [27][20/660] lr: 8.7726e-03 eta: 14:08:20 time: 1.3874 data_time: 0.2769 memory: 22681 loss: 2.3492 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3492 2022/10/30 04:10:07 - mmengine - INFO - Epoch(train) [27][40/660] lr: 8.7695e-03 eta: 14:07:58 time: 1.0169 data_time: 0.0173 memory: 22681 loss: 2.3473 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3473 2022/10/30 04:10:28 - mmengine - INFO - Epoch(train) [27][60/660] lr: 8.7664e-03 eta: 14:07:36 time: 1.0247 data_time: 0.0188 memory: 22681 loss: 2.2741 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2741 2022/10/30 04:10:48 - mmengine - INFO - Epoch(train) [27][80/660] lr: 8.7633e-03 eta: 14:07:14 time: 1.0203 data_time: 0.0188 memory: 22681 loss: 2.2484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2484 2022/10/30 04:11:09 - mmengine - INFO - Epoch(train) [27][100/660] lr: 8.7602e-03 eta: 14:06:52 time: 1.0357 data_time: 0.0217 memory: 22681 loss: 2.2326 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2326 2022/10/30 04:11:29 - mmengine - INFO - Epoch(train) [27][120/660] lr: 8.7571e-03 eta: 14:06:30 time: 1.0231 data_time: 0.0175 memory: 22681 loss: 2.3692 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3692 2022/10/30 04:11:50 - mmengine - INFO - Epoch(train) [27][140/660] lr: 8.7540e-03 eta: 14:06:08 time: 1.0209 data_time: 0.0180 memory: 22681 loss: 2.3570 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3570 2022/10/30 04:12:10 - mmengine - INFO - Epoch(train) [27][160/660] lr: 8.7509e-03 eta: 14:05:46 time: 1.0197 data_time: 0.0182 memory: 22681 loss: 2.2946 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2946 2022/10/30 04:12:31 - mmengine - INFO - Epoch(train) [27][180/660] lr: 8.7478e-03 eta: 14:05:25 time: 1.0298 data_time: 0.0226 memory: 22681 loss: 2.3157 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3157 2022/10/30 04:12:51 - mmengine - INFO - Epoch(train) [27][200/660] lr: 8.7447e-03 eta: 14:05:03 time: 1.0223 data_time: 0.0185 memory: 22681 loss: 2.2792 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2792 2022/10/30 04:13:11 - mmengine - INFO - Epoch(train) [27][220/660] lr: 8.7416e-03 eta: 14:04:41 time: 1.0220 data_time: 0.0200 memory: 22681 loss: 2.1005 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1005 2022/10/30 04:13:32 - mmengine - INFO - Epoch(train) [27][240/660] lr: 8.7384e-03 eta: 14:04:19 time: 1.0203 data_time: 0.0191 memory: 22681 loss: 2.3007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3007 2022/10/30 04:13:52 - mmengine - INFO - Epoch(train) [27][260/660] lr: 8.7353e-03 eta: 14:03:57 time: 1.0337 data_time: 0.0205 memory: 22681 loss: 2.2043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2043 2022/10/30 04:14:13 - mmengine - INFO - Epoch(train) [27][280/660] lr: 8.7322e-03 eta: 14:03:35 time: 1.0225 data_time: 0.0182 memory: 22681 loss: 2.2709 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2709 2022/10/30 04:14:33 - mmengine - INFO - Epoch(train) [27][300/660] lr: 8.7291e-03 eta: 14:03:14 time: 1.0244 data_time: 0.0201 memory: 22681 loss: 2.3484 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3484 2022/10/30 04:14:54 - mmengine - INFO - Epoch(train) [27][320/660] lr: 8.7259e-03 eta: 14:02:52 time: 1.0262 data_time: 0.0192 memory: 22681 loss: 2.2808 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2808 2022/10/30 04:15:15 - mmengine - INFO - Epoch(train) [27][340/660] lr: 8.7228e-03 eta: 14:02:31 time: 1.0383 data_time: 0.0204 memory: 22681 loss: 2.2466 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2466 2022/10/30 04:15:35 - mmengine - INFO - Epoch(train) [27][360/660] lr: 8.7196e-03 eta: 14:02:09 time: 1.0235 data_time: 0.0181 memory: 22681 loss: 2.1763 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1763 2022/10/30 04:15:56 - mmengine - INFO - Epoch(train) [27][380/660] lr: 8.7165e-03 eta: 14:01:47 time: 1.0270 data_time: 0.0206 memory: 22681 loss: 2.2765 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2765 2022/10/30 04:16:16 - mmengine - INFO - Epoch(train) [27][400/660] lr: 8.7133e-03 eta: 14:01:25 time: 1.0238 data_time: 0.0188 memory: 22681 loss: 2.3212 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3212 2022/10/30 04:16:37 - mmengine - INFO - Epoch(train) [27][420/660] lr: 8.7102e-03 eta: 14:01:04 time: 1.0364 data_time: 0.0205 memory: 22681 loss: 2.2597 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.2597 2022/10/30 04:16:58 - mmengine - INFO - Epoch(train) [27][440/660] lr: 8.7070e-03 eta: 14:00:43 time: 1.0286 data_time: 0.0178 memory: 22681 loss: 2.3220 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.3220 2022/10/30 04:17:18 - mmengine - INFO - Epoch(train) [27][460/660] lr: 8.7039e-03 eta: 14:00:21 time: 1.0323 data_time: 0.0198 memory: 22681 loss: 2.3600 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3600 2022/10/30 04:17:39 - mmengine - INFO - Epoch(train) [27][480/660] lr: 8.7007e-03 eta: 14:00:00 time: 1.0286 data_time: 0.0184 memory: 22681 loss: 2.2913 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2913 2022/10/30 04:18:00 - mmengine - INFO - Epoch(train) [27][500/660] lr: 8.6975e-03 eta: 13:59:39 time: 1.0414 data_time: 0.0209 memory: 22681 loss: 2.3569 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3569 2022/10/30 04:18:20 - mmengine - INFO - Epoch(train) [27][520/660] lr: 8.6944e-03 eta: 13:59:17 time: 1.0300 data_time: 0.0171 memory: 22681 loss: 2.3690 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3690 2022/10/30 04:18:41 - mmengine - INFO - Epoch(train) [27][540/660] lr: 8.6912e-03 eta: 13:58:56 time: 1.0279 data_time: 0.0204 memory: 22681 loss: 2.2471 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2471 2022/10/30 04:19:01 - mmengine - INFO - Epoch(train) [27][560/660] lr: 8.6880e-03 eta: 13:58:34 time: 1.0276 data_time: 0.0178 memory: 22681 loss: 2.2396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2396 2022/10/30 04:19:22 - mmengine - INFO - Epoch(train) [27][580/660] lr: 8.6849e-03 eta: 13:58:13 time: 1.0375 data_time: 0.0211 memory: 22681 loss: 2.2192 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2192 2022/10/30 04:19:43 - mmengine - INFO - Epoch(train) [27][600/660] lr: 8.6817e-03 eta: 13:57:51 time: 1.0273 data_time: 0.0169 memory: 22681 loss: 2.2164 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2164 2022/10/30 04:20:03 - mmengine - INFO - Epoch(train) [27][620/660] lr: 8.6785e-03 eta: 13:57:30 time: 1.0297 data_time: 0.0242 memory: 22681 loss: 2.2589 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.2589 2022/10/30 04:20:24 - mmengine - INFO - Epoch(train) [27][640/660] lr: 8.6753e-03 eta: 13:57:08 time: 1.0262 data_time: 0.0171 memory: 22681 loss: 2.2730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2730 2022/10/30 04:20:44 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 04:20:44 - mmengine - INFO - Epoch(train) [27][660/660] lr: 8.6721e-03 eta: 13:56:46 time: 1.0157 data_time: 0.0192 memory: 22681 loss: 2.3489 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.3489 2022/10/30 04:20:44 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/10/30 04:20:48 - mmengine - INFO - Epoch(val) [27][20/194] eta: 0:00:22 time: 0.1265 data_time: 0.0258 memory: 2517 2022/10/30 04:20:50 - mmengine - INFO - Epoch(val) [27][40/194] eta: 0:00:16 time: 0.1081 data_time: 0.0077 memory: 2517 2022/10/30 04:20:52 - mmengine - INFO - Epoch(val) [27][60/194] eta: 0:00:14 time: 0.1091 data_time: 0.0073 memory: 2517 2022/10/30 04:20:54 - mmengine - INFO - Epoch(val) [27][80/194] eta: 0:00:12 time: 0.1087 data_time: 0.0078 memory: 2517 2022/10/30 04:20:56 - mmengine - INFO - Epoch(val) [27][100/194] eta: 0:00:10 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 04:20:59 - mmengine - INFO - Epoch(val) [27][120/194] eta: 0:00:08 time: 0.1090 data_time: 0.0078 memory: 2517 2022/10/30 04:21:01 - mmengine - INFO - Epoch(val) [27][140/194] eta: 0:00:05 time: 0.1092 data_time: 0.0082 memory: 2517 2022/10/30 04:21:03 - mmengine - INFO - Epoch(val) [27][160/194] eta: 0:00:03 time: 0.1097 data_time: 0.0079 memory: 2517 2022/10/30 04:21:05 - mmengine - INFO - Epoch(val) [27][180/194] eta: 0:00:01 time: 0.1078 data_time: 0.0073 memory: 2517 2022/10/30 04:21:07 - mmengine - INFO - Epoch(val) [27][194/194] acc/top1: 0.6291 acc/top5: 0.8865 acc/mean1: 0.5488 2022/10/30 04:21:07 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_26.pth is removed 2022/10/30 04:21:09 - mmengine - INFO - The best checkpoint with 0.6291 acc/top1 at 27 epoch is saved to best_acc/top1_epoch_27.pth. 2022/10/30 04:21:37 - mmengine - INFO - Epoch(train) [28][20/660] lr: 8.6689e-03 eta: 13:56:45 time: 1.4089 data_time: 0.2798 memory: 22681 loss: 2.2006 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2006 2022/10/30 04:21:58 - mmengine - INFO - Epoch(train) [28][40/660] lr: 8.6657e-03 eta: 13:56:23 time: 1.0304 data_time: 0.0215 memory: 22681 loss: 2.0820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0820 2022/10/30 04:22:18 - mmengine - INFO - Epoch(train) [28][60/660] lr: 8.6625e-03 eta: 13:56:01 time: 1.0232 data_time: 0.0188 memory: 22681 loss: 2.2813 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2813 2022/10/30 04:22:39 - mmengine - INFO - Epoch(train) [28][80/660] lr: 8.6593e-03 eta: 13:55:39 time: 1.0212 data_time: 0.0190 memory: 22681 loss: 2.3532 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3532 2022/10/30 04:22:59 - mmengine - INFO - Epoch(train) [28][100/660] lr: 8.6561e-03 eta: 13:55:18 time: 1.0425 data_time: 0.0235 memory: 22681 loss: 2.1586 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1586 2022/10/30 04:23:20 - mmengine - INFO - Epoch(train) [28][120/660] lr: 8.6529e-03 eta: 13:54:57 time: 1.0396 data_time: 0.0235 memory: 22681 loss: 2.2424 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2424 2022/10/30 04:23:41 - mmengine - INFO - Epoch(train) [28][140/660] lr: 8.6497e-03 eta: 13:54:36 time: 1.0233 data_time: 0.0186 memory: 22681 loss: 2.3540 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3540 2022/10/30 04:24:01 - mmengine - INFO - Epoch(train) [28][160/660] lr: 8.6465e-03 eta: 13:54:14 time: 1.0225 data_time: 0.0192 memory: 22681 loss: 2.2536 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2536 2022/10/30 04:24:22 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 04:24:22 - mmengine - INFO - Epoch(train) [28][180/660] lr: 8.6432e-03 eta: 13:53:53 time: 1.0400 data_time: 0.0193 memory: 22681 loss: 2.2917 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2917 2022/10/30 04:24:43 - mmengine - INFO - Epoch(train) [28][200/660] lr: 8.6400e-03 eta: 13:53:31 time: 1.0312 data_time: 0.0216 memory: 22681 loss: 2.3995 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3995 2022/10/30 04:25:03 - mmengine - INFO - Epoch(train) [28][220/660] lr: 8.6368e-03 eta: 13:53:10 time: 1.0290 data_time: 0.0175 memory: 22681 loss: 2.2980 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2980 2022/10/30 04:25:24 - mmengine - INFO - Epoch(train) [28][240/660] lr: 8.6336e-03 eta: 13:52:48 time: 1.0224 data_time: 0.0179 memory: 22681 loss: 2.4837 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.4837 2022/10/30 04:25:44 - mmengine - INFO - Epoch(train) [28][260/660] lr: 8.6303e-03 eta: 13:52:27 time: 1.0371 data_time: 0.0190 memory: 22681 loss: 2.3070 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.3070 2022/10/30 04:26:05 - mmengine - INFO - Epoch(train) [28][280/660] lr: 8.6271e-03 eta: 13:52:05 time: 1.0325 data_time: 0.0231 memory: 22681 loss: 2.3367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3367 2022/10/30 04:26:25 - mmengine - INFO - Epoch(train) [28][300/660] lr: 8.6238e-03 eta: 13:51:44 time: 1.0282 data_time: 0.0182 memory: 22681 loss: 2.2452 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2452 2022/10/30 04:26:46 - mmengine - INFO - Epoch(train) [28][320/660] lr: 8.6206e-03 eta: 13:51:22 time: 1.0263 data_time: 0.0184 memory: 22681 loss: 2.1921 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1921 2022/10/30 04:27:07 - mmengine - INFO - Epoch(train) [28][340/660] lr: 8.6174e-03 eta: 13:51:01 time: 1.0404 data_time: 0.0190 memory: 22681 loss: 2.4266 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4266 2022/10/30 04:27:28 - mmengine - INFO - Epoch(train) [28][360/660] lr: 8.6141e-03 eta: 13:50:40 time: 1.0383 data_time: 0.0212 memory: 22681 loss: 2.1667 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1667 2022/10/30 04:27:48 - mmengine - INFO - Epoch(train) [28][380/660] lr: 8.6109e-03 eta: 13:50:18 time: 1.0272 data_time: 0.0190 memory: 22681 loss: 2.2283 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2283 2022/10/30 04:28:09 - mmengine - INFO - Epoch(train) [28][400/660] lr: 8.6076e-03 eta: 13:49:57 time: 1.0242 data_time: 0.0190 memory: 22681 loss: 2.6076 top1_acc: 0.1875 top5_acc: 0.8125 loss_cls: 2.6076 2022/10/30 04:28:29 - mmengine - INFO - Epoch(train) [28][420/660] lr: 8.6043e-03 eta: 13:49:36 time: 1.0418 data_time: 0.0183 memory: 22681 loss: 2.2114 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.2114 2022/10/30 04:28:50 - mmengine - INFO - Epoch(train) [28][440/660] lr: 8.6011e-03 eta: 13:49:14 time: 1.0354 data_time: 0.0210 memory: 22681 loss: 2.2346 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2346 2022/10/30 04:29:11 - mmengine - INFO - Epoch(train) [28][460/660] lr: 8.5978e-03 eta: 13:48:53 time: 1.0261 data_time: 0.0184 memory: 22681 loss: 2.2651 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2651 2022/10/30 04:29:31 - mmengine - INFO - Epoch(train) [28][480/660] lr: 8.5945e-03 eta: 13:48:31 time: 1.0278 data_time: 0.0186 memory: 22681 loss: 2.2946 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2946 2022/10/30 04:29:52 - mmengine - INFO - Epoch(train) [28][500/660] lr: 8.5913e-03 eta: 13:48:10 time: 1.0426 data_time: 0.0194 memory: 22681 loss: 2.4286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4286 2022/10/30 04:30:13 - mmengine - INFO - Epoch(train) [28][520/660] lr: 8.5880e-03 eta: 13:47:49 time: 1.0373 data_time: 0.0219 memory: 22681 loss: 2.3054 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3054 2022/10/30 04:30:33 - mmengine - INFO - Epoch(train) [28][540/660] lr: 8.5847e-03 eta: 13:47:28 time: 1.0264 data_time: 0.0186 memory: 22681 loss: 2.2517 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2517 2022/10/30 04:30:54 - mmengine - INFO - Epoch(train) [28][560/660] lr: 8.5814e-03 eta: 13:47:06 time: 1.0284 data_time: 0.0181 memory: 22681 loss: 2.4946 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4946 2022/10/30 04:31:15 - mmengine - INFO - Epoch(train) [28][580/660] lr: 8.5782e-03 eta: 13:46:45 time: 1.0402 data_time: 0.0188 memory: 22681 loss: 2.2625 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2625 2022/10/30 04:31:36 - mmengine - INFO - Epoch(train) [28][600/660] lr: 8.5749e-03 eta: 13:46:24 time: 1.0387 data_time: 0.0238 memory: 22681 loss: 2.2417 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.2417 2022/10/30 04:31:56 - mmengine - INFO - Epoch(train) [28][620/660] lr: 8.5716e-03 eta: 13:46:03 time: 1.0281 data_time: 0.0183 memory: 22681 loss: 2.3117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3117 2022/10/30 04:32:17 - mmengine - INFO - Epoch(train) [28][640/660] lr: 8.5683e-03 eta: 13:45:41 time: 1.0253 data_time: 0.0194 memory: 22681 loss: 2.2852 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2852 2022/10/30 04:32:37 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 04:32:37 - mmengine - INFO - Epoch(train) [28][660/660] lr: 8.5650e-03 eta: 13:45:19 time: 1.0165 data_time: 0.0198 memory: 22681 loss: 2.3242 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.3242 2022/10/30 04:32:40 - mmengine - INFO - Epoch(val) [28][20/194] eta: 0:00:23 time: 0.1342 data_time: 0.0318 memory: 2517 2022/10/30 04:32:42 - mmengine - INFO - Epoch(val) [28][40/194] eta: 0:00:16 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 04:32:44 - mmengine - INFO - Epoch(val) [28][60/194] eta: 0:00:14 time: 0.1094 data_time: 0.0081 memory: 2517 2022/10/30 04:32:46 - mmengine - INFO - Epoch(val) [28][80/194] eta: 0:00:12 time: 0.1091 data_time: 0.0078 memory: 2517 2022/10/30 04:32:48 - mmengine - INFO - Epoch(val) [28][100/194] eta: 0:00:10 time: 0.1125 data_time: 0.0089 memory: 2517 2022/10/30 04:32:51 - mmengine - INFO - Epoch(val) [28][120/194] eta: 0:00:08 time: 0.1095 data_time: 0.0081 memory: 2517 2022/10/30 04:32:53 - mmengine - INFO - Epoch(val) [28][140/194] eta: 0:00:05 time: 0.1097 data_time: 0.0080 memory: 2517 2022/10/30 04:32:55 - mmengine - INFO - Epoch(val) [28][160/194] eta: 0:00:03 time: 0.1090 data_time: 0.0075 memory: 2517 2022/10/30 04:32:57 - mmengine - INFO - Epoch(val) [28][180/194] eta: 0:00:01 time: 0.1086 data_time: 0.0077 memory: 2517 2022/10/30 04:33:00 - mmengine - INFO - Epoch(val) [28][194/194] acc/top1: 0.6303 acc/top5: 0.8886 acc/mean1: 0.5521 2022/10/30 04:33:00 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_27.pth is removed 2022/10/30 04:33:02 - mmengine - INFO - The best checkpoint with 0.6303 acc/top1 at 28 epoch is saved to best_acc/top1_epoch_28.pth. 2022/10/30 04:33:29 - mmengine - INFO - Epoch(train) [29][20/660] lr: 8.5617e-03 eta: 13:45:16 time: 1.3897 data_time: 0.3226 memory: 22681 loss: 2.2745 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2745 2022/10/30 04:33:50 - mmengine - INFO - Epoch(train) [29][40/660] lr: 8.5584e-03 eta: 13:44:54 time: 1.0182 data_time: 0.0197 memory: 22681 loss: 2.2569 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2569 2022/10/30 04:34:10 - mmengine - INFO - Epoch(train) [29][60/660] lr: 8.5551e-03 eta: 13:44:32 time: 1.0235 data_time: 0.0195 memory: 22681 loss: 2.3873 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.3873 2022/10/30 04:34:31 - mmengine - INFO - Epoch(train) [29][80/660] lr: 8.5518e-03 eta: 13:44:10 time: 1.0226 data_time: 0.0189 memory: 22681 loss: 2.2237 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2237 2022/10/30 04:34:52 - mmengine - INFO - Epoch(train) [29][100/660] lr: 8.5485e-03 eta: 13:43:49 time: 1.0403 data_time: 0.0249 memory: 22681 loss: 2.0803 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0803 2022/10/30 04:35:12 - mmengine - INFO - Epoch(train) [29][120/660] lr: 8.5451e-03 eta: 13:43:28 time: 1.0320 data_time: 0.0176 memory: 22681 loss: 2.2445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2445 2022/10/30 04:35:33 - mmengine - INFO - Epoch(train) [29][140/660] lr: 8.5418e-03 eta: 13:43:06 time: 1.0241 data_time: 0.0188 memory: 22681 loss: 2.3818 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3818 2022/10/30 04:35:53 - mmengine - INFO - Epoch(train) [29][160/660] lr: 8.5385e-03 eta: 13:42:44 time: 1.0245 data_time: 0.0191 memory: 22681 loss: 2.2908 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2908 2022/10/30 04:36:14 - mmengine - INFO - Epoch(train) [29][180/660] lr: 8.5352e-03 eta: 13:42:23 time: 1.0401 data_time: 0.0227 memory: 22681 loss: 2.2959 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.2959 2022/10/30 04:36:35 - mmengine - INFO - Epoch(train) [29][200/660] lr: 8.5318e-03 eta: 13:42:02 time: 1.0331 data_time: 0.0217 memory: 22681 loss: 2.2351 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2351 2022/10/30 04:36:55 - mmengine - INFO - Epoch(train) [29][220/660] lr: 8.5285e-03 eta: 13:41:40 time: 1.0265 data_time: 0.0191 memory: 22681 loss: 2.2448 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2448 2022/10/30 04:37:16 - mmengine - INFO - Epoch(train) [29][240/660] lr: 8.5252e-03 eta: 13:41:18 time: 1.0269 data_time: 0.0180 memory: 22681 loss: 2.1857 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1857 2022/10/30 04:37:37 - mmengine - INFO - Epoch(train) [29][260/660] lr: 8.5218e-03 eta: 13:40:58 time: 1.0525 data_time: 0.0241 memory: 22681 loss: 2.2838 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2838 2022/10/30 04:37:57 - mmengine - INFO - Epoch(train) [29][280/660] lr: 8.5185e-03 eta: 13:40:37 time: 1.0361 data_time: 0.0184 memory: 22681 loss: 2.3513 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3513 2022/10/30 04:38:18 - mmengine - INFO - Epoch(train) [29][300/660] lr: 8.5152e-03 eta: 13:40:15 time: 1.0251 data_time: 0.0191 memory: 22681 loss: 2.2930 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.2930 2022/10/30 04:38:38 - mmengine - INFO - Epoch(train) [29][320/660] lr: 8.5118e-03 eta: 13:39:54 time: 1.0254 data_time: 0.0188 memory: 22681 loss: 2.2234 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2234 2022/10/30 04:38:59 - mmengine - INFO - Epoch(train) [29][340/660] lr: 8.5085e-03 eta: 13:39:33 time: 1.0427 data_time: 0.0226 memory: 22681 loss: 2.2093 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2093 2022/10/30 04:39:20 - mmengine - INFO - Epoch(train) [29][360/660] lr: 8.5051e-03 eta: 13:39:12 time: 1.0407 data_time: 0.0180 memory: 22681 loss: 2.3617 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3617 2022/10/30 04:39:41 - mmengine - INFO - Epoch(train) [29][380/660] lr: 8.5018e-03 eta: 13:38:50 time: 1.0289 data_time: 0.0180 memory: 22681 loss: 2.1861 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1861 2022/10/30 04:40:01 - mmengine - INFO - Epoch(train) [29][400/660] lr: 8.4984e-03 eta: 13:38:29 time: 1.0266 data_time: 0.0183 memory: 22681 loss: 2.2728 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2728 2022/10/30 04:40:22 - mmengine - INFO - Epoch(train) [29][420/660] lr: 8.4950e-03 eta: 13:38:08 time: 1.0434 data_time: 0.0236 memory: 22681 loss: 2.3563 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3563 2022/10/30 04:40:43 - mmengine - INFO - Epoch(train) [29][440/660] lr: 8.4917e-03 eta: 13:37:47 time: 1.0377 data_time: 0.0179 memory: 22681 loss: 2.2879 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.2879 2022/10/30 04:41:03 - mmengine - INFO - Epoch(train) [29][460/660] lr: 8.4883e-03 eta: 13:37:25 time: 1.0295 data_time: 0.0189 memory: 22681 loss: 2.2587 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2587 2022/10/30 04:41:24 - mmengine - INFO - Epoch(train) [29][480/660] lr: 8.4849e-03 eta: 13:37:04 time: 1.0304 data_time: 0.0186 memory: 22681 loss: 2.3639 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3639 2022/10/30 04:41:45 - mmengine - INFO - Epoch(train) [29][500/660] lr: 8.4816e-03 eta: 13:36:43 time: 1.0470 data_time: 0.0243 memory: 22681 loss: 2.2573 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2573 2022/10/30 04:42:06 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 04:42:06 - mmengine - INFO - Epoch(train) [29][520/660] lr: 8.4782e-03 eta: 13:36:22 time: 1.0353 data_time: 0.0188 memory: 22681 loss: 2.1652 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1652 2022/10/30 04:42:26 - mmengine - INFO - Epoch(train) [29][540/660] lr: 8.4748e-03 eta: 13:36:01 time: 1.0264 data_time: 0.0191 memory: 22681 loss: 2.3147 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3147 2022/10/30 04:42:47 - mmengine - INFO - Epoch(train) [29][560/660] lr: 8.4714e-03 eta: 13:35:39 time: 1.0281 data_time: 0.0190 memory: 22681 loss: 2.2296 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2296 2022/10/30 04:43:08 - mmengine - INFO - Epoch(train) [29][580/660] lr: 8.4680e-03 eta: 13:35:18 time: 1.0471 data_time: 0.0234 memory: 22681 loss: 2.3281 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3281 2022/10/30 04:43:29 - mmengine - INFO - Epoch(train) [29][600/660] lr: 8.4646e-03 eta: 13:34:57 time: 1.0373 data_time: 0.0184 memory: 22681 loss: 2.1756 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1756 2022/10/30 04:43:49 - mmengine - INFO - Epoch(train) [29][620/660] lr: 8.4612e-03 eta: 13:34:36 time: 1.0286 data_time: 0.0190 memory: 22681 loss: 2.2360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2360 2022/10/30 04:44:10 - mmengine - INFO - Epoch(train) [29][640/660] lr: 8.4578e-03 eta: 13:34:14 time: 1.0241 data_time: 0.0187 memory: 22681 loss: 2.4239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4239 2022/10/30 04:44:30 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 04:44:30 - mmengine - INFO - Epoch(train) [29][660/660] lr: 8.4545e-03 eta: 13:33:52 time: 1.0180 data_time: 0.0195 memory: 22681 loss: 2.2505 top1_acc: 0.7857 top5_acc: 1.0000 loss_cls: 2.2505 2022/10/30 04:44:33 - mmengine - INFO - Epoch(val) [29][20/194] eta: 0:00:23 time: 0.1357 data_time: 0.0336 memory: 2517 2022/10/30 04:44:35 - mmengine - INFO - Epoch(val) [29][40/194] eta: 0:00:16 time: 0.1091 data_time: 0.0082 memory: 2517 2022/10/30 04:44:37 - mmengine - INFO - Epoch(val) [29][60/194] eta: 0:00:14 time: 0.1092 data_time: 0.0080 memory: 2517 2022/10/30 04:44:39 - mmengine - INFO - Epoch(val) [29][80/194] eta: 0:00:12 time: 0.1090 data_time: 0.0079 memory: 2517 2022/10/30 04:44:41 - mmengine - INFO - Epoch(val) [29][100/194] eta: 0:00:10 time: 0.1092 data_time: 0.0082 memory: 2517 2022/10/30 04:44:44 - mmengine - INFO - Epoch(val) [29][120/194] eta: 0:00:08 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 04:44:46 - mmengine - INFO - Epoch(val) [29][140/194] eta: 0:00:05 time: 0.1087 data_time: 0.0079 memory: 2517 2022/10/30 04:44:48 - mmengine - INFO - Epoch(val) [29][160/194] eta: 0:00:03 time: 0.1091 data_time: 0.0081 memory: 2517 2022/10/30 04:44:50 - mmengine - INFO - Epoch(val) [29][180/194] eta: 0:00:01 time: 0.1091 data_time: 0.0080 memory: 2517 2022/10/30 04:44:53 - mmengine - INFO - Epoch(val) [29][194/194] acc/top1: 0.6293 acc/top5: 0.8893 acc/mean1: 0.5517 2022/10/30 04:45:24 - mmengine - INFO - Epoch(train) [30][20/660] lr: 8.4510e-03 eta: 13:33:55 time: 1.5225 data_time: 0.2283 memory: 22681 loss: 2.3586 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3586 2022/10/30 04:45:44 - mmengine - INFO - Epoch(train) [30][40/660] lr: 8.4476e-03 eta: 13:33:33 time: 1.0237 data_time: 0.0190 memory: 22681 loss: 2.3609 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3609 2022/10/30 04:46:05 - mmengine - INFO - Epoch(train) [30][60/660] lr: 8.4442e-03 eta: 13:33:11 time: 1.0223 data_time: 0.0191 memory: 22681 loss: 2.4123 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4123 2022/10/30 04:46:25 - mmengine - INFO - Epoch(train) [30][80/660] lr: 8.4408e-03 eta: 13:32:49 time: 1.0235 data_time: 0.0186 memory: 22681 loss: 2.2080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2080 2022/10/30 04:46:46 - mmengine - INFO - Epoch(train) [30][100/660] lr: 8.4374e-03 eta: 13:32:28 time: 1.0368 data_time: 0.0249 memory: 22681 loss: 2.3382 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3382 2022/10/30 04:47:06 - mmengine - INFO - Epoch(train) [30][120/660] lr: 8.4340e-03 eta: 13:32:07 time: 1.0325 data_time: 0.0189 memory: 22681 loss: 2.2800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2800 2022/10/30 04:47:27 - mmengine - INFO - Epoch(train) [30][140/660] lr: 8.4306e-03 eta: 13:31:45 time: 1.0238 data_time: 0.0177 memory: 22681 loss: 2.2082 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2082 2022/10/30 04:47:47 - mmengine - INFO - Epoch(train) [30][160/660] lr: 8.4272e-03 eta: 13:31:23 time: 1.0222 data_time: 0.0182 memory: 22681 loss: 2.2443 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2443 2022/10/30 04:48:08 - mmengine - INFO - Epoch(train) [30][180/660] lr: 8.4237e-03 eta: 13:31:02 time: 1.0378 data_time: 0.0228 memory: 22681 loss: 2.3362 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3362 2022/10/30 04:48:29 - mmengine - INFO - Epoch(train) [30][200/660] lr: 8.4203e-03 eta: 13:30:41 time: 1.0287 data_time: 0.0190 memory: 22681 loss: 2.1112 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1112 2022/10/30 04:48:49 - mmengine - INFO - Epoch(train) [30][220/660] lr: 8.4169e-03 eta: 13:30:19 time: 1.0247 data_time: 0.0176 memory: 22681 loss: 2.1708 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 2.1708 2022/10/30 04:49:10 - mmengine - INFO - Epoch(train) [30][240/660] lr: 8.4134e-03 eta: 13:29:57 time: 1.0248 data_time: 0.0188 memory: 22681 loss: 2.2350 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2350 2022/10/30 04:49:30 - mmengine - INFO - Epoch(train) [30][260/660] lr: 8.4100e-03 eta: 13:29:36 time: 1.0351 data_time: 0.0230 memory: 22681 loss: 2.1553 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1553 2022/10/30 04:49:51 - mmengine - INFO - Epoch(train) [30][280/660] lr: 8.4065e-03 eta: 13:29:15 time: 1.0326 data_time: 0.0195 memory: 22681 loss: 2.2456 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2456 2022/10/30 04:50:12 - mmengine - INFO - Epoch(train) [30][300/660] lr: 8.4031e-03 eta: 13:28:53 time: 1.0223 data_time: 0.0180 memory: 22681 loss: 2.1375 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1375 2022/10/30 04:50:32 - mmengine - INFO - Epoch(train) [30][320/660] lr: 8.3997e-03 eta: 13:28:31 time: 1.0268 data_time: 0.0167 memory: 22681 loss: 2.2165 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2165 2022/10/30 04:50:53 - mmengine - INFO - Epoch(train) [30][340/660] lr: 8.3962e-03 eta: 13:28:10 time: 1.0341 data_time: 0.0226 memory: 22681 loss: 2.2654 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2654 2022/10/30 04:51:13 - mmengine - INFO - Epoch(train) [30][360/660] lr: 8.3928e-03 eta: 13:27:49 time: 1.0284 data_time: 0.0181 memory: 22681 loss: 2.1978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1978 2022/10/30 04:51:34 - mmengine - INFO - Epoch(train) [30][380/660] lr: 8.3893e-03 eta: 13:27:27 time: 1.0258 data_time: 0.0216 memory: 22681 loss: 2.2910 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.2910 2022/10/30 04:51:54 - mmengine - INFO - Epoch(train) [30][400/660] lr: 8.3858e-03 eta: 13:27:05 time: 1.0242 data_time: 0.0173 memory: 22681 loss: 2.4020 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.4020 2022/10/30 04:52:15 - mmengine - INFO - Epoch(train) [30][420/660] lr: 8.3824e-03 eta: 13:26:44 time: 1.0378 data_time: 0.0229 memory: 22681 loss: 2.2756 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2756 2022/10/30 04:52:36 - mmengine - INFO - Epoch(train) [30][440/660] lr: 8.3789e-03 eta: 13:26:23 time: 1.0288 data_time: 0.0194 memory: 22681 loss: 2.2392 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2392 2022/10/30 04:52:56 - mmengine - INFO - Epoch(train) [30][460/660] lr: 8.3754e-03 eta: 13:26:01 time: 1.0225 data_time: 0.0183 memory: 22681 loss: 2.3920 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3920 2022/10/30 04:53:17 - mmengine - INFO - Epoch(train) [30][480/660] lr: 8.3720e-03 eta: 13:25:39 time: 1.0234 data_time: 0.0182 memory: 22681 loss: 2.3412 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.3412 2022/10/30 04:53:37 - mmengine - INFO - Epoch(train) [30][500/660] lr: 8.3685e-03 eta: 13:25:18 time: 1.0369 data_time: 0.0237 memory: 22681 loss: 2.1411 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1411 2022/10/30 04:53:58 - mmengine - INFO - Epoch(train) [30][520/660] lr: 8.3650e-03 eta: 13:24:57 time: 1.0325 data_time: 0.0193 memory: 22681 loss: 2.1355 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1355 2022/10/30 04:54:18 - mmengine - INFO - Epoch(train) [30][540/660] lr: 8.3615e-03 eta: 13:24:35 time: 1.0249 data_time: 0.0184 memory: 22681 loss: 2.3918 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3918 2022/10/30 04:54:39 - mmengine - INFO - Epoch(train) [30][560/660] lr: 8.3581e-03 eta: 13:24:14 time: 1.0266 data_time: 0.0184 memory: 22681 loss: 2.0744 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0744 2022/10/30 04:55:00 - mmengine - INFO - Epoch(train) [30][580/660] lr: 8.3546e-03 eta: 13:23:53 time: 1.0390 data_time: 0.0235 memory: 22681 loss: 2.1677 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1677 2022/10/30 04:55:20 - mmengine - INFO - Epoch(train) [30][600/660] lr: 8.3511e-03 eta: 13:23:31 time: 1.0341 data_time: 0.0187 memory: 22681 loss: 2.1763 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1763 2022/10/30 04:55:41 - mmengine - INFO - Epoch(train) [30][620/660] lr: 8.3476e-03 eta: 13:23:10 time: 1.0229 data_time: 0.0169 memory: 22681 loss: 2.1929 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1929 2022/10/30 04:56:01 - mmengine - INFO - Epoch(train) [30][640/660] lr: 8.3441e-03 eta: 13:22:48 time: 1.0224 data_time: 0.0184 memory: 22681 loss: 2.1821 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1821 2022/10/30 04:56:22 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 04:56:22 - mmengine - INFO - Epoch(train) [30][660/660] lr: 8.3406e-03 eta: 13:22:26 time: 1.0129 data_time: 0.0196 memory: 22681 loss: 2.2327 top1_acc: 0.4286 top5_acc: 0.7857 loss_cls: 2.2327 2022/10/30 04:56:22 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/10/30 04:56:25 - mmengine - INFO - Epoch(val) [30][20/194] eta: 0:00:21 time: 0.1255 data_time: 0.0242 memory: 2517 2022/10/30 04:56:27 - mmengine - INFO - Epoch(val) [30][40/194] eta: 0:00:16 time: 0.1082 data_time: 0.0076 memory: 2517 2022/10/30 04:56:30 - mmengine - INFO - Epoch(val) [30][60/194] eta: 0:00:14 time: 0.1083 data_time: 0.0077 memory: 2517 2022/10/30 04:56:32 - mmengine - INFO - Epoch(val) [30][80/194] eta: 0:00:12 time: 0.1085 data_time: 0.0077 memory: 2517 2022/10/30 04:56:34 - mmengine - INFO - Epoch(val) [30][100/194] eta: 0:00:10 time: 0.1091 data_time: 0.0078 memory: 2517 2022/10/30 04:56:36 - mmengine - INFO - Epoch(val) [30][120/194] eta: 0:00:08 time: 0.1083 data_time: 0.0072 memory: 2517 2022/10/30 04:56:38 - mmengine - INFO - Epoch(val) [30][140/194] eta: 0:00:05 time: 0.1094 data_time: 0.0077 memory: 2517 2022/10/30 04:56:41 - mmengine - INFO - Epoch(val) [30][160/194] eta: 0:00:03 time: 0.1087 data_time: 0.0075 memory: 2517 2022/10/30 04:56:43 - mmengine - INFO - Epoch(val) [30][180/194] eta: 0:00:01 time: 0.1079 data_time: 0.0072 memory: 2517 2022/10/30 04:56:45 - mmengine - INFO - Epoch(val) [30][194/194] acc/top1: 0.6277 acc/top5: 0.8888 acc/mean1: 0.5513 2022/10/30 04:57:14 - mmengine - INFO - Epoch(train) [31][20/660] lr: 8.3371e-03 eta: 13:22:24 time: 1.4541 data_time: 0.3665 memory: 22681 loss: 2.2026 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2026 2022/10/30 04:57:34 - mmengine - INFO - Epoch(train) [31][40/660] lr: 8.3336e-03 eta: 13:22:02 time: 1.0209 data_time: 0.0180 memory: 22681 loss: 2.3356 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3356 2022/10/30 04:57:55 - mmengine - INFO - Epoch(train) [31][60/660] lr: 8.3301e-03 eta: 13:21:40 time: 1.0211 data_time: 0.0183 memory: 22681 loss: 2.3298 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3298 2022/10/30 04:58:15 - mmengine - INFO - Epoch(train) [31][80/660] lr: 8.3266e-03 eta: 13:21:18 time: 1.0209 data_time: 0.0187 memory: 22681 loss: 2.1734 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1734 2022/10/30 04:58:36 - mmengine - INFO - Epoch(train) [31][100/660] lr: 8.3231e-03 eta: 13:20:57 time: 1.0399 data_time: 0.0237 memory: 22681 loss: 2.3704 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3704 2022/10/30 04:58:57 - mmengine - INFO - Epoch(train) [31][120/660] lr: 8.3196e-03 eta: 13:20:36 time: 1.0293 data_time: 0.0185 memory: 22681 loss: 2.2092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2092 2022/10/30 04:59:17 - mmengine - INFO - Epoch(train) [31][140/660] lr: 8.3160e-03 eta: 13:20:14 time: 1.0251 data_time: 0.0186 memory: 22681 loss: 2.3886 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.3886 2022/10/30 04:59:38 - mmengine - INFO - Epoch(train) [31][160/660] lr: 8.3125e-03 eta: 13:19:53 time: 1.0259 data_time: 0.0230 memory: 22681 loss: 2.2881 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2881 2022/10/30 04:59:58 - mmengine - INFO - Epoch(train) [31][180/660] lr: 8.3090e-03 eta: 13:19:32 time: 1.0380 data_time: 0.0236 memory: 22681 loss: 2.2964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2964 2022/10/30 05:00:19 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 05:00:19 - mmengine - INFO - Epoch(train) [31][200/660] lr: 8.3055e-03 eta: 13:19:10 time: 1.0309 data_time: 0.0180 memory: 22681 loss: 2.2470 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2470 2022/10/30 05:00:40 - mmengine - INFO - Epoch(train) [31][220/660] lr: 8.3019e-03 eta: 13:18:49 time: 1.0292 data_time: 0.0181 memory: 22681 loss: 2.1648 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1648 2022/10/30 05:01:00 - mmengine - INFO - Epoch(train) [31][240/660] lr: 8.2984e-03 eta: 13:18:27 time: 1.0216 data_time: 0.0184 memory: 22681 loss: 2.2651 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2651 2022/10/30 05:01:21 - mmengine - INFO - Epoch(train) [31][260/660] lr: 8.2949e-03 eta: 13:18:06 time: 1.0379 data_time: 0.0244 memory: 22681 loss: 2.2381 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2381 2022/10/30 05:01:41 - mmengine - INFO - Epoch(train) [31][280/660] lr: 8.2913e-03 eta: 13:17:44 time: 1.0289 data_time: 0.0189 memory: 22681 loss: 2.3324 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3324 2022/10/30 05:02:02 - mmengine - INFO - Epoch(train) [31][300/660] lr: 8.2878e-03 eta: 13:17:23 time: 1.0243 data_time: 0.0191 memory: 22681 loss: 2.2971 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.2971 2022/10/30 05:02:22 - mmengine - INFO - Epoch(train) [31][320/660] lr: 8.2842e-03 eta: 13:17:01 time: 1.0223 data_time: 0.0188 memory: 22681 loss: 2.3100 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3100 2022/10/30 05:02:43 - mmengine - INFO - Epoch(train) [31][340/660] lr: 8.2807e-03 eta: 13:16:40 time: 1.0426 data_time: 0.0250 memory: 22681 loss: 2.2206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2206 2022/10/30 05:03:04 - mmengine - INFO - Epoch(train) [31][360/660] lr: 8.2771e-03 eta: 13:16:19 time: 1.0331 data_time: 0.0185 memory: 22681 loss: 2.2831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2831 2022/10/30 05:03:24 - mmengine - INFO - Epoch(train) [31][380/660] lr: 8.2736e-03 eta: 13:15:57 time: 1.0269 data_time: 0.0185 memory: 22681 loss: 2.2120 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.2120 2022/10/30 05:03:45 - mmengine - INFO - Epoch(train) [31][400/660] lr: 8.2700e-03 eta: 13:15:36 time: 1.0320 data_time: 0.0242 memory: 22681 loss: 2.3511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3511 2022/10/30 05:04:06 - mmengine - INFO - Epoch(train) [31][420/660] lr: 8.2665e-03 eta: 13:15:15 time: 1.0434 data_time: 0.0199 memory: 22681 loss: 2.3266 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3266 2022/10/30 05:04:27 - mmengine - INFO - Epoch(train) [31][440/660] lr: 8.2629e-03 eta: 13:14:54 time: 1.0358 data_time: 0.0175 memory: 22681 loss: 2.2261 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2261 2022/10/30 05:04:47 - mmengine - INFO - Epoch(train) [31][460/660] lr: 8.2594e-03 eta: 13:14:33 time: 1.0282 data_time: 0.0180 memory: 22681 loss: 2.1773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1773 2022/10/30 05:05:08 - mmengine - INFO - Epoch(train) [31][480/660] lr: 8.2558e-03 eta: 13:14:11 time: 1.0298 data_time: 0.0214 memory: 22681 loss: 2.2549 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2549 2022/10/30 05:05:29 - mmengine - INFO - Epoch(train) [31][500/660] lr: 8.2522e-03 eta: 13:13:50 time: 1.0371 data_time: 0.0205 memory: 22681 loss: 2.0805 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0805 2022/10/30 05:05:49 - mmengine - INFO - Epoch(train) [31][520/660] lr: 8.2486e-03 eta: 13:13:29 time: 1.0330 data_time: 0.0185 memory: 22681 loss: 2.3267 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3267 2022/10/30 05:06:10 - mmengine - INFO - Epoch(train) [31][540/660] lr: 8.2451e-03 eta: 13:13:07 time: 1.0289 data_time: 0.0183 memory: 22681 loss: 2.1451 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.1451 2022/10/30 05:06:30 - mmengine - INFO - Epoch(train) [31][560/660] lr: 8.2415e-03 eta: 13:12:46 time: 1.0301 data_time: 0.0232 memory: 22681 loss: 2.2289 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2289 2022/10/30 05:06:51 - mmengine - INFO - Epoch(train) [31][580/660] lr: 8.2379e-03 eta: 13:12:25 time: 1.0397 data_time: 0.0201 memory: 22681 loss: 2.1642 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1642 2022/10/30 05:07:12 - mmengine - INFO - Epoch(train) [31][600/660] lr: 8.2343e-03 eta: 13:12:04 time: 1.0339 data_time: 0.0177 memory: 22681 loss: 2.1943 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 2.1943 2022/10/30 05:07:32 - mmengine - INFO - Epoch(train) [31][620/660] lr: 8.2307e-03 eta: 13:11:42 time: 1.0273 data_time: 0.0187 memory: 22681 loss: 2.3660 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3660 2022/10/30 05:07:53 - mmengine - INFO - Epoch(train) [31][640/660] lr: 8.2271e-03 eta: 13:11:21 time: 1.0283 data_time: 0.0216 memory: 22681 loss: 2.1740 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1740 2022/10/30 05:08:13 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 05:08:13 - mmengine - INFO - Epoch(train) [31][660/660] lr: 8.2236e-03 eta: 13:10:59 time: 1.0155 data_time: 0.0166 memory: 22681 loss: 2.3535 top1_acc: 0.5714 top5_acc: 0.7857 loss_cls: 2.3535 2022/10/30 05:08:16 - mmengine - INFO - Epoch(val) [31][20/194] eta: 0:00:23 time: 0.1338 data_time: 0.0320 memory: 2517 2022/10/30 05:08:18 - mmengine - INFO - Epoch(val) [31][40/194] eta: 0:00:16 time: 0.1101 data_time: 0.0080 memory: 2517 2022/10/30 05:08:20 - mmengine - INFO - Epoch(val) [31][60/194] eta: 0:00:14 time: 0.1089 data_time: 0.0078 memory: 2517 2022/10/30 05:08:23 - mmengine - INFO - Epoch(val) [31][80/194] eta: 0:00:12 time: 0.1085 data_time: 0.0075 memory: 2517 2022/10/30 05:08:25 - mmengine - INFO - Epoch(val) [31][100/194] eta: 0:00:10 time: 0.1083 data_time: 0.0074 memory: 2517 2022/10/30 05:08:27 - mmengine - INFO - Epoch(val) [31][120/194] eta: 0:00:07 time: 0.1081 data_time: 0.0074 memory: 2517 2022/10/30 05:08:29 - mmengine - INFO - Epoch(val) [31][140/194] eta: 0:00:05 time: 0.1090 data_time: 0.0076 memory: 2517 2022/10/30 05:08:31 - mmengine - INFO - Epoch(val) [31][160/194] eta: 0:00:03 time: 0.1087 data_time: 0.0076 memory: 2517 2022/10/30 05:08:33 - mmengine - INFO - Epoch(val) [31][180/194] eta: 0:00:01 time: 0.1090 data_time: 0.0080 memory: 2517 2022/10/30 05:08:36 - mmengine - INFO - Epoch(val) [31][194/194] acc/top1: 0.6333 acc/top5: 0.8922 acc/mean1: 0.5581 2022/10/30 05:08:36 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_28.pth is removed 2022/10/30 05:08:38 - mmengine - INFO - The best checkpoint with 0.6333 acc/top1 at 31 epoch is saved to best_acc/top1_epoch_31.pth. 2022/10/30 05:09:07 - mmengine - INFO - Epoch(train) [32][20/660] lr: 8.2200e-03 eta: 13:10:55 time: 1.4287 data_time: 0.3190 memory: 22681 loss: 2.2679 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2679 2022/10/30 05:09:27 - mmengine - INFO - Epoch(train) [32][40/660] lr: 8.2164e-03 eta: 13:10:34 time: 1.0239 data_time: 0.0181 memory: 22681 loss: 2.1944 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1944 2022/10/30 05:09:48 - mmengine - INFO - Epoch(train) [32][60/660] lr: 8.2128e-03 eta: 13:10:12 time: 1.0262 data_time: 0.0185 memory: 22681 loss: 2.1986 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1986 2022/10/30 05:10:08 - mmengine - INFO - Epoch(train) [32][80/660] lr: 8.2092e-03 eta: 13:09:50 time: 1.0231 data_time: 0.0186 memory: 22681 loss: 2.1282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1282 2022/10/30 05:10:29 - mmengine - INFO - Epoch(train) [32][100/660] lr: 8.2056e-03 eta: 13:09:29 time: 1.0347 data_time: 0.0235 memory: 22681 loss: 2.2159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2159 2022/10/30 05:10:49 - mmengine - INFO - Epoch(train) [32][120/660] lr: 8.2019e-03 eta: 13:09:07 time: 1.0243 data_time: 0.0184 memory: 22681 loss: 2.1302 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1302 2022/10/30 05:11:10 - mmengine - INFO - Epoch(train) [32][140/660] lr: 8.1983e-03 eta: 13:08:46 time: 1.0253 data_time: 0.0180 memory: 22681 loss: 2.1219 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1219 2022/10/30 05:11:30 - mmengine - INFO - Epoch(train) [32][160/660] lr: 8.1947e-03 eta: 13:08:24 time: 1.0228 data_time: 0.0175 memory: 22681 loss: 2.1853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1853 2022/10/30 05:11:51 - mmengine - INFO - Epoch(train) [32][180/660] lr: 8.1911e-03 eta: 13:08:03 time: 1.0383 data_time: 0.0209 memory: 22681 loss: 2.2994 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2994 2022/10/30 05:12:12 - mmengine - INFO - Epoch(train) [32][200/660] lr: 8.1875e-03 eta: 13:07:42 time: 1.0307 data_time: 0.0184 memory: 22681 loss: 2.2793 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2793 2022/10/30 05:12:32 - mmengine - INFO - Epoch(train) [32][220/660] lr: 8.1839e-03 eta: 13:07:20 time: 1.0270 data_time: 0.0174 memory: 22681 loss: 2.2749 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2749 2022/10/30 05:12:53 - mmengine - INFO - Epoch(train) [32][240/660] lr: 8.1802e-03 eta: 13:06:59 time: 1.0260 data_time: 0.0188 memory: 22681 loss: 2.1329 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1329 2022/10/30 05:13:13 - mmengine - INFO - Epoch(train) [32][260/660] lr: 8.1766e-03 eta: 13:06:38 time: 1.0382 data_time: 0.0228 memory: 22681 loss: 2.1739 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1739 2022/10/30 05:13:34 - mmengine - INFO - Epoch(train) [32][280/660] lr: 8.1730e-03 eta: 13:06:16 time: 1.0312 data_time: 0.0202 memory: 22681 loss: 2.2882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2882 2022/10/30 05:13:55 - mmengine - INFO - Epoch(train) [32][300/660] lr: 8.1693e-03 eta: 13:05:55 time: 1.0245 data_time: 0.0187 memory: 22681 loss: 2.1825 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1825 2022/10/30 05:14:15 - mmengine - INFO - Epoch(train) [32][320/660] lr: 8.1657e-03 eta: 13:05:33 time: 1.0268 data_time: 0.0184 memory: 22681 loss: 2.3396 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.3396 2022/10/30 05:14:36 - mmengine - INFO - Epoch(train) [32][340/660] lr: 8.1621e-03 eta: 13:05:12 time: 1.0421 data_time: 0.0216 memory: 22681 loss: 2.2207 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2207 2022/10/30 05:14:57 - mmengine - INFO - Epoch(train) [32][360/660] lr: 8.1584e-03 eta: 13:04:51 time: 1.0344 data_time: 0.0192 memory: 22681 loss: 2.3204 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3204 2022/10/30 05:15:17 - mmengine - INFO - Epoch(train) [32][380/660] lr: 8.1548e-03 eta: 13:04:30 time: 1.0291 data_time: 0.0183 memory: 22681 loss: 2.2912 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2912 2022/10/30 05:15:38 - mmengine - INFO - Epoch(train) [32][400/660] lr: 8.1511e-03 eta: 13:04:08 time: 1.0312 data_time: 0.0185 memory: 22681 loss: 2.1742 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1742 2022/10/30 05:15:59 - mmengine - INFO - Epoch(train) [32][420/660] lr: 8.1475e-03 eta: 13:03:47 time: 1.0395 data_time: 0.0216 memory: 22681 loss: 2.1700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1700 2022/10/30 05:16:19 - mmengine - INFO - Epoch(train) [32][440/660] lr: 8.1438e-03 eta: 13:03:26 time: 1.0335 data_time: 0.0189 memory: 22681 loss: 2.0987 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0987 2022/10/30 05:16:40 - mmengine - INFO - Epoch(train) [32][460/660] lr: 8.1401e-03 eta: 13:03:05 time: 1.0357 data_time: 0.0187 memory: 22681 loss: 2.1813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1813 2022/10/30 05:17:01 - mmengine - INFO - Epoch(train) [32][480/660] lr: 8.1365e-03 eta: 13:02:44 time: 1.0279 data_time: 0.0193 memory: 22681 loss: 2.2510 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2510 2022/10/30 05:17:21 - mmengine - INFO - Epoch(train) [32][500/660] lr: 8.1328e-03 eta: 13:02:23 time: 1.0406 data_time: 0.0217 memory: 22681 loss: 2.1202 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1202 2022/10/30 05:17:42 - mmengine - INFO - Epoch(train) [32][520/660] lr: 8.1292e-03 eta: 13:02:01 time: 1.0329 data_time: 0.0191 memory: 22681 loss: 2.1961 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 2.1961 2022/10/30 05:18:03 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 05:18:03 - mmengine - INFO - Epoch(train) [32][540/660] lr: 8.1255e-03 eta: 13:01:40 time: 1.0317 data_time: 0.0188 memory: 22681 loss: 2.3301 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.3301 2022/10/30 05:18:23 - mmengine - INFO - Epoch(train) [32][560/660] lr: 8.1218e-03 eta: 13:01:19 time: 1.0263 data_time: 0.0185 memory: 22681 loss: 2.2259 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2259 2022/10/30 05:18:44 - mmengine - INFO - Epoch(train) [32][580/660] lr: 8.1182e-03 eta: 13:00:58 time: 1.0428 data_time: 0.0217 memory: 22681 loss: 2.2619 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2619 2022/10/30 05:19:05 - mmengine - INFO - Epoch(train) [32][600/660] lr: 8.1145e-03 eta: 13:00:37 time: 1.0405 data_time: 0.0184 memory: 22681 loss: 2.2671 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2671 2022/10/30 05:19:25 - mmengine - INFO - Epoch(train) [32][620/660] lr: 8.1108e-03 eta: 13:00:16 time: 1.0320 data_time: 0.0188 memory: 22681 loss: 2.2468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2468 2022/10/30 05:19:46 - mmengine - INFO - Epoch(train) [32][640/660] lr: 8.1071e-03 eta: 12:59:54 time: 1.0262 data_time: 0.0190 memory: 22681 loss: 2.3973 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3973 2022/10/30 05:20:06 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 05:20:06 - mmengine - INFO - Epoch(train) [32][660/660] lr: 8.1034e-03 eta: 12:59:32 time: 1.0184 data_time: 0.0200 memory: 22681 loss: 2.1707 top1_acc: 0.6429 top5_acc: 1.0000 loss_cls: 2.1707 2022/10/30 05:20:09 - mmengine - INFO - Epoch(val) [32][20/194] eta: 0:00:23 time: 0.1354 data_time: 0.0339 memory: 2517 2022/10/30 05:20:11 - mmengine - INFO - Epoch(val) [32][40/194] eta: 0:00:16 time: 0.1080 data_time: 0.0072 memory: 2517 2022/10/30 05:20:13 - mmengine - INFO - Epoch(val) [32][60/194] eta: 0:00:14 time: 0.1079 data_time: 0.0072 memory: 2517 2022/10/30 05:20:16 - mmengine - INFO - Epoch(val) [32][80/194] eta: 0:00:12 time: 0.1078 data_time: 0.0071 memory: 2517 2022/10/30 05:20:18 - mmengine - INFO - Epoch(val) [32][100/194] eta: 0:00:10 time: 0.1089 data_time: 0.0075 memory: 2517 2022/10/30 05:20:20 - mmengine - INFO - Epoch(val) [32][120/194] eta: 0:00:08 time: 0.1094 data_time: 0.0082 memory: 2517 2022/10/30 05:20:22 - mmengine - INFO - Epoch(val) [32][140/194] eta: 0:00:05 time: 0.1091 data_time: 0.0081 memory: 2517 2022/10/30 05:20:24 - mmengine - INFO - Epoch(val) [32][160/194] eta: 0:00:03 time: 0.1089 data_time: 0.0079 memory: 2517 2022/10/30 05:20:27 - mmengine - INFO - Epoch(val) [32][180/194] eta: 0:00:01 time: 0.1091 data_time: 0.0079 memory: 2517 2022/10/30 05:20:30 - mmengine - INFO - Epoch(val) [32][194/194] acc/top1: 0.6339 acc/top5: 0.8919 acc/mean1: 0.5584 2022/10/30 05:20:30 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_31.pth is removed 2022/10/30 05:20:31 - mmengine - INFO - The best checkpoint with 0.6339 acc/top1 at 32 epoch is saved to best_acc/top1_epoch_32.pth. 2022/10/30 05:21:00 - mmengine - INFO - Epoch(train) [33][20/660] lr: 8.0997e-03 eta: 12:59:27 time: 1.4101 data_time: 0.2744 memory: 22681 loss: 2.2488 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2488 2022/10/30 05:21:20 - mmengine - INFO - Epoch(train) [33][40/660] lr: 8.0961e-03 eta: 12:59:05 time: 1.0277 data_time: 0.0203 memory: 22681 loss: 2.2777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2777 2022/10/30 05:21:41 - mmengine - INFO - Epoch(train) [33][60/660] lr: 8.0924e-03 eta: 12:58:44 time: 1.0245 data_time: 0.0188 memory: 22681 loss: 2.1551 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1551 2022/10/30 05:22:01 - mmengine - INFO - Epoch(train) [33][80/660] lr: 8.0887e-03 eta: 12:58:22 time: 1.0257 data_time: 0.0197 memory: 22681 loss: 2.1503 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1503 2022/10/30 05:22:22 - mmengine - INFO - Epoch(train) [33][100/660] lr: 8.0850e-03 eta: 12:58:01 time: 1.0366 data_time: 0.0237 memory: 22681 loss: 2.1690 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1690 2022/10/30 05:22:43 - mmengine - INFO - Epoch(train) [33][120/660] lr: 8.0813e-03 eta: 12:57:40 time: 1.0346 data_time: 0.0193 memory: 22681 loss: 2.2519 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2519 2022/10/30 05:23:03 - mmengine - INFO - Epoch(train) [33][140/660] lr: 8.0776e-03 eta: 12:57:19 time: 1.0315 data_time: 0.0183 memory: 22681 loss: 2.1023 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1023 2022/10/30 05:23:24 - mmengine - INFO - Epoch(train) [33][160/660] lr: 8.0739e-03 eta: 12:56:57 time: 1.0308 data_time: 0.0176 memory: 22681 loss: 2.0547 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0547 2022/10/30 05:23:45 - mmengine - INFO - Epoch(train) [33][180/660] lr: 8.0701e-03 eta: 12:56:37 time: 1.0420 data_time: 0.0228 memory: 22681 loss: 2.2301 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2301 2022/10/30 05:24:05 - mmengine - INFO - Epoch(train) [33][200/660] lr: 8.0664e-03 eta: 12:56:15 time: 1.0372 data_time: 0.0205 memory: 22681 loss: 2.2637 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2637 2022/10/30 05:24:26 - mmengine - INFO - Epoch(train) [33][220/660] lr: 8.0627e-03 eta: 12:55:54 time: 1.0316 data_time: 0.0180 memory: 22681 loss: 2.1218 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1218 2022/10/30 05:24:47 - mmengine - INFO - Epoch(train) [33][240/660] lr: 8.0590e-03 eta: 12:55:33 time: 1.0328 data_time: 0.0188 memory: 22681 loss: 2.1272 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1272 2022/10/30 05:25:07 - mmengine - INFO - Epoch(train) [33][260/660] lr: 8.0553e-03 eta: 12:55:12 time: 1.0397 data_time: 0.0221 memory: 22681 loss: 2.2316 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2316 2022/10/30 05:25:28 - mmengine - INFO - Epoch(train) [33][280/660] lr: 8.0516e-03 eta: 12:54:51 time: 1.0344 data_time: 0.0191 memory: 22681 loss: 2.1433 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1433 2022/10/30 05:25:49 - mmengine - INFO - Epoch(train) [33][300/660] lr: 8.0478e-03 eta: 12:54:29 time: 1.0319 data_time: 0.0186 memory: 22681 loss: 2.4212 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4212 2022/10/30 05:26:10 - mmengine - INFO - Epoch(train) [33][320/660] lr: 8.0441e-03 eta: 12:54:08 time: 1.0358 data_time: 0.0182 memory: 22681 loss: 2.1999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1999 2022/10/30 05:26:30 - mmengine - INFO - Epoch(train) [33][340/660] lr: 8.0404e-03 eta: 12:53:47 time: 1.0407 data_time: 0.0217 memory: 22681 loss: 2.1768 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1768 2022/10/30 05:26:51 - mmengine - INFO - Epoch(train) [33][360/660] lr: 8.0366e-03 eta: 12:53:26 time: 1.0362 data_time: 0.0190 memory: 22681 loss: 2.2758 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2758 2022/10/30 05:27:12 - mmengine - INFO - Epoch(train) [33][380/660] lr: 8.0329e-03 eta: 12:53:05 time: 1.0307 data_time: 0.0181 memory: 22681 loss: 2.1959 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.1959 2022/10/30 05:27:32 - mmengine - INFO - Epoch(train) [33][400/660] lr: 8.0292e-03 eta: 12:52:44 time: 1.0350 data_time: 0.0172 memory: 22681 loss: 2.3439 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3439 2022/10/30 05:27:53 - mmengine - INFO - Epoch(train) [33][420/660] lr: 8.0254e-03 eta: 12:52:23 time: 1.0434 data_time: 0.0206 memory: 22681 loss: 2.2100 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2100 2022/10/30 05:28:14 - mmengine - INFO - Epoch(train) [33][440/660] lr: 8.0217e-03 eta: 12:52:02 time: 1.0395 data_time: 0.0184 memory: 22681 loss: 2.2822 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2822 2022/10/30 05:28:35 - mmengine - INFO - Epoch(train) [33][460/660] lr: 8.0179e-03 eta: 12:51:41 time: 1.0326 data_time: 0.0181 memory: 22681 loss: 2.2137 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2137 2022/10/30 05:28:55 - mmengine - INFO - Epoch(train) [33][480/660] lr: 8.0142e-03 eta: 12:51:20 time: 1.0353 data_time: 0.0172 memory: 22681 loss: 2.1646 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.1646 2022/10/30 05:29:16 - mmengine - INFO - Epoch(train) [33][500/660] lr: 8.0104e-03 eta: 12:50:59 time: 1.0414 data_time: 0.0218 memory: 22681 loss: 2.1233 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1233 2022/10/30 05:29:37 - mmengine - INFO - Epoch(train) [33][520/660] lr: 8.0067e-03 eta: 12:50:38 time: 1.0423 data_time: 0.0179 memory: 22681 loss: 2.2402 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2402 2022/10/30 05:29:58 - mmengine - INFO - Epoch(train) [33][540/660] lr: 8.0029e-03 eta: 12:50:17 time: 1.0318 data_time: 0.0189 memory: 22681 loss: 2.2016 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2016 2022/10/30 05:30:19 - mmengine - INFO - Epoch(train) [33][560/660] lr: 7.9992e-03 eta: 12:49:56 time: 1.0402 data_time: 0.0188 memory: 22681 loss: 2.0516 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0516 2022/10/30 05:30:40 - mmengine - INFO - Epoch(train) [33][580/660] lr: 7.9954e-03 eta: 12:49:35 time: 1.0496 data_time: 0.0225 memory: 22681 loss: 2.2772 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2772 2022/10/30 05:31:00 - mmengine - INFO - Epoch(train) [33][600/660] lr: 7.9916e-03 eta: 12:49:14 time: 1.0434 data_time: 0.0185 memory: 22681 loss: 2.2547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2547 2022/10/30 05:31:21 - mmengine - INFO - Epoch(train) [33][620/660] lr: 7.9879e-03 eta: 12:48:53 time: 1.0348 data_time: 0.0187 memory: 22681 loss: 2.0873 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0873 2022/10/30 05:31:42 - mmengine - INFO - Epoch(train) [33][640/660] lr: 7.9841e-03 eta: 12:48:32 time: 1.0364 data_time: 0.0184 memory: 22681 loss: 2.2140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2140 2022/10/30 05:32:02 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 05:32:02 - mmengine - INFO - Epoch(train) [33][660/660] lr: 7.9803e-03 eta: 12:48:10 time: 1.0188 data_time: 0.0196 memory: 22681 loss: 2.2884 top1_acc: 0.7143 top5_acc: 0.7857 loss_cls: 2.2884 2022/10/30 05:32:02 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/10/30 05:32:06 - mmengine - INFO - Epoch(val) [33][20/194] eta: 0:00:22 time: 0.1278 data_time: 0.0256 memory: 2517 2022/10/30 05:32:08 - mmengine - INFO - Epoch(val) [33][40/194] eta: 0:00:16 time: 0.1091 data_time: 0.0080 memory: 2517 2022/10/30 05:32:10 - mmengine - INFO - Epoch(val) [33][60/194] eta: 0:00:14 time: 0.1088 data_time: 0.0077 memory: 2517 2022/10/30 05:32:13 - mmengine - INFO - Epoch(val) [33][80/194] eta: 0:00:12 time: 0.1085 data_time: 0.0075 memory: 2517 2022/10/30 05:32:15 - mmengine - INFO - Epoch(val) [33][100/194] eta: 0:00:10 time: 0.1099 data_time: 0.0078 memory: 2517 2022/10/30 05:32:17 - mmengine - INFO - Epoch(val) [33][120/194] eta: 0:00:08 time: 0.1101 data_time: 0.0080 memory: 2517 2022/10/30 05:32:19 - mmengine - INFO - Epoch(val) [33][140/194] eta: 0:00:05 time: 0.1086 data_time: 0.0078 memory: 2517 2022/10/30 05:32:21 - mmengine - INFO - Epoch(val) [33][160/194] eta: 0:00:03 time: 0.1083 data_time: 0.0075 memory: 2517 2022/10/30 05:32:24 - mmengine - INFO - Epoch(val) [33][180/194] eta: 0:00:01 time: 0.1084 data_time: 0.0074 memory: 2517 2022/10/30 05:32:26 - mmengine - INFO - Epoch(val) [33][194/194] acc/top1: 0.6329 acc/top5: 0.8915 acc/mean1: 0.5628 2022/10/30 05:32:56 - mmengine - INFO - Epoch(train) [34][20/660] lr: 7.9766e-03 eta: 12:48:09 time: 1.5176 data_time: 0.1840 memory: 22681 loss: 2.2985 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2985 2022/10/30 05:33:17 - mmengine - INFO - Epoch(train) [34][40/660] lr: 7.9728e-03 eta: 12:47:47 time: 1.0260 data_time: 0.0204 memory: 22681 loss: 2.0957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0957 2022/10/30 05:33:37 - mmengine - INFO - Epoch(train) [34][60/660] lr: 7.9690e-03 eta: 12:47:26 time: 1.0293 data_time: 0.0178 memory: 22681 loss: 2.2192 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2192 2022/10/30 05:33:58 - mmengine - INFO - Epoch(train) [34][80/660] lr: 7.9652e-03 eta: 12:47:04 time: 1.0255 data_time: 0.0179 memory: 22681 loss: 2.2148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2148 2022/10/30 05:34:19 - mmengine - INFO - Epoch(train) [34][100/660] lr: 7.9614e-03 eta: 12:46:43 time: 1.0404 data_time: 0.0193 memory: 22681 loss: 2.1317 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1317 2022/10/30 05:34:39 - mmengine - INFO - Epoch(train) [34][120/660] lr: 7.9576e-03 eta: 12:46:22 time: 1.0366 data_time: 0.0237 memory: 22681 loss: 2.1684 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1684 2022/10/30 05:35:00 - mmengine - INFO - Epoch(train) [34][140/660] lr: 7.9539e-03 eta: 12:46:01 time: 1.0327 data_time: 0.0177 memory: 22681 loss: 2.1458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1458 2022/10/30 05:35:20 - mmengine - INFO - Epoch(train) [34][160/660] lr: 7.9501e-03 eta: 12:45:40 time: 1.0274 data_time: 0.0186 memory: 22681 loss: 2.1758 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.1758 2022/10/30 05:35:41 - mmengine - INFO - Epoch(train) [34][180/660] lr: 7.9463e-03 eta: 12:45:19 time: 1.0412 data_time: 0.0194 memory: 22681 loss: 2.1173 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1173 2022/10/30 05:36:02 - mmengine - INFO - Epoch(train) [34][200/660] lr: 7.9425e-03 eta: 12:44:58 time: 1.0397 data_time: 0.0228 memory: 22681 loss: 2.1229 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1229 2022/10/30 05:36:23 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 05:36:23 - mmengine - INFO - Epoch(train) [34][220/660] lr: 7.9387e-03 eta: 12:44:36 time: 1.0283 data_time: 0.0184 memory: 22681 loss: 2.2741 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2741 2022/10/30 05:36:43 - mmengine - INFO - Epoch(train) [34][240/660] lr: 7.9349e-03 eta: 12:44:15 time: 1.0263 data_time: 0.0185 memory: 22681 loss: 2.1627 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1627 2022/10/30 05:37:04 - mmengine - INFO - Epoch(train) [34][260/660] lr: 7.9311e-03 eta: 12:43:54 time: 1.0430 data_time: 0.0199 memory: 22681 loss: 2.3119 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3119 2022/10/30 05:37:25 - mmengine - INFO - Epoch(train) [34][280/660] lr: 7.9272e-03 eta: 12:43:33 time: 1.0355 data_time: 0.0218 memory: 22681 loss: 2.0106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0106 2022/10/30 05:37:45 - mmengine - INFO - Epoch(train) [34][300/660] lr: 7.9234e-03 eta: 12:43:11 time: 1.0314 data_time: 0.0187 memory: 22681 loss: 2.2245 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2245 2022/10/30 05:38:06 - mmengine - INFO - Epoch(train) [34][320/660] lr: 7.9196e-03 eta: 12:42:50 time: 1.0270 data_time: 0.0185 memory: 22681 loss: 2.2571 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2571 2022/10/30 05:38:27 - mmengine - INFO - Epoch(train) [34][340/660] lr: 7.9158e-03 eta: 12:42:29 time: 1.0429 data_time: 0.0196 memory: 22681 loss: 2.2126 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2126 2022/10/30 05:38:48 - mmengine - INFO - Epoch(train) [34][360/660] lr: 7.9120e-03 eta: 12:42:08 time: 1.0379 data_time: 0.0232 memory: 22681 loss: 2.1216 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1216 2022/10/30 05:39:08 - mmengine - INFO - Epoch(train) [34][380/660] lr: 7.9082e-03 eta: 12:41:47 time: 1.0331 data_time: 0.0173 memory: 22681 loss: 2.1708 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1708 2022/10/30 05:39:29 - mmengine - INFO - Epoch(train) [34][400/660] lr: 7.9043e-03 eta: 12:41:25 time: 1.0278 data_time: 0.0188 memory: 22681 loss: 2.3239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3239 2022/10/30 05:39:50 - mmengine - INFO - Epoch(train) [34][420/660] lr: 7.9005e-03 eta: 12:41:05 time: 1.0473 data_time: 0.0203 memory: 22681 loss: 2.1337 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1337 2022/10/30 05:40:10 - mmengine - INFO - Epoch(train) [34][440/660] lr: 7.8967e-03 eta: 12:40:44 time: 1.0384 data_time: 0.0232 memory: 22681 loss: 2.1268 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1268 2022/10/30 05:40:31 - mmengine - INFO - Epoch(train) [34][460/660] lr: 7.8929e-03 eta: 12:40:23 time: 1.0341 data_time: 0.0181 memory: 22681 loss: 2.2868 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2868 2022/10/30 05:40:52 - mmengine - INFO - Epoch(train) [34][480/660] lr: 7.8890e-03 eta: 12:40:01 time: 1.0304 data_time: 0.0188 memory: 22681 loss: 2.2668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2668 2022/10/30 05:41:13 - mmengine - INFO - Epoch(train) [34][500/660] lr: 7.8852e-03 eta: 12:39:40 time: 1.0429 data_time: 0.0202 memory: 22681 loss: 2.1739 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1739 2022/10/30 05:41:33 - mmengine - INFO - Epoch(train) [34][520/660] lr: 7.8813e-03 eta: 12:39:19 time: 1.0380 data_time: 0.0238 memory: 22681 loss: 2.3962 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.3962 2022/10/30 05:41:54 - mmengine - INFO - Epoch(train) [34][540/660] lr: 7.8775e-03 eta: 12:38:58 time: 1.0323 data_time: 0.0191 memory: 22681 loss: 2.0858 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0858 2022/10/30 05:42:15 - mmengine - INFO - Epoch(train) [34][560/660] lr: 7.8737e-03 eta: 12:38:37 time: 1.0297 data_time: 0.0197 memory: 22681 loss: 2.2910 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2910 2022/10/30 05:42:35 - mmengine - INFO - Epoch(train) [34][580/660] lr: 7.8698e-03 eta: 12:38:16 time: 1.0419 data_time: 0.0200 memory: 22681 loss: 2.2295 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2295 2022/10/30 05:42:56 - mmengine - INFO - Epoch(train) [34][600/660] lr: 7.8660e-03 eta: 12:37:55 time: 1.0357 data_time: 0.0221 memory: 22681 loss: 2.1172 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1172 2022/10/30 05:43:17 - mmengine - INFO - Epoch(train) [34][620/660] lr: 7.8621e-03 eta: 12:37:34 time: 1.0346 data_time: 0.0184 memory: 22681 loss: 2.2981 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2981 2022/10/30 05:43:37 - mmengine - INFO - Epoch(train) [34][640/660] lr: 7.8583e-03 eta: 12:37:12 time: 1.0243 data_time: 0.0201 memory: 22681 loss: 2.1556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1556 2022/10/30 05:43:58 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 05:43:58 - mmengine - INFO - Epoch(train) [34][660/660] lr: 7.8544e-03 eta: 12:36:50 time: 1.0206 data_time: 0.0195 memory: 22681 loss: 2.2806 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.2806 2022/10/30 05:44:00 - mmengine - INFO - Epoch(val) [34][20/194] eta: 0:00:22 time: 0.1312 data_time: 0.0297 memory: 2517 2022/10/30 05:44:03 - mmengine - INFO - Epoch(val) [34][40/194] eta: 0:00:16 time: 0.1101 data_time: 0.0082 memory: 2517 2022/10/30 05:44:05 - mmengine - INFO - Epoch(val) [34][60/194] eta: 0:00:14 time: 0.1081 data_time: 0.0073 memory: 2517 2022/10/30 05:44:07 - mmengine - INFO - Epoch(val) [34][80/194] eta: 0:00:12 time: 0.1088 data_time: 0.0074 memory: 2517 2022/10/30 05:44:09 - mmengine - INFO - Epoch(val) [34][100/194] eta: 0:00:10 time: 0.1089 data_time: 0.0076 memory: 2517 2022/10/30 05:44:11 - mmengine - INFO - Epoch(val) [34][120/194] eta: 0:00:08 time: 0.1083 data_time: 0.0071 memory: 2517 2022/10/30 05:44:13 - mmengine - INFO - Epoch(val) [34][140/194] eta: 0:00:05 time: 0.1085 data_time: 0.0075 memory: 2517 2022/10/30 05:44:16 - mmengine - INFO - Epoch(val) [34][160/194] eta: 0:00:03 time: 0.1086 data_time: 0.0075 memory: 2517 2022/10/30 05:44:18 - mmengine - INFO - Epoch(val) [34][180/194] eta: 0:00:01 time: 0.1089 data_time: 0.0074 memory: 2517 2022/10/30 05:44:21 - mmengine - INFO - Epoch(val) [34][194/194] acc/top1: 0.6372 acc/top5: 0.8909 acc/mean1: 0.5578 2022/10/30 05:44:21 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_32.pth is removed 2022/10/30 05:44:23 - mmengine - INFO - The best checkpoint with 0.6372 acc/top1 at 34 epoch is saved to best_acc/top1_epoch_34.pth. 2022/10/30 05:44:50 - mmengine - INFO - Epoch(train) [35][20/660] lr: 7.8505e-03 eta: 12:36:41 time: 1.3409 data_time: 0.2718 memory: 22681 loss: 2.2305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2305 2022/10/30 05:45:10 - mmengine - INFO - Epoch(train) [35][40/660] lr: 7.8467e-03 eta: 12:36:19 time: 1.0173 data_time: 0.0172 memory: 22681 loss: 2.3965 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3965 2022/10/30 05:45:30 - mmengine - INFO - Epoch(train) [35][60/660] lr: 7.8428e-03 eta: 12:35:58 time: 1.0218 data_time: 0.0184 memory: 22681 loss: 2.1176 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1176 2022/10/30 05:45:51 - mmengine - INFO - Epoch(train) [35][80/660] lr: 7.8389e-03 eta: 12:35:36 time: 1.0194 data_time: 0.0195 memory: 22681 loss: 2.0852 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0852 2022/10/30 05:46:11 - mmengine - INFO - Epoch(train) [35][100/660] lr: 7.8351e-03 eta: 12:35:15 time: 1.0390 data_time: 0.0245 memory: 22681 loss: 2.1922 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1922 2022/10/30 05:46:32 - mmengine - INFO - Epoch(train) [35][120/660] lr: 7.8312e-03 eta: 12:34:53 time: 1.0241 data_time: 0.0187 memory: 22681 loss: 2.2423 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2423 2022/10/30 05:46:52 - mmengine - INFO - Epoch(train) [35][140/660] lr: 7.8273e-03 eta: 12:34:32 time: 1.0206 data_time: 0.0183 memory: 22681 loss: 2.2109 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2109 2022/10/30 05:47:13 - mmengine - INFO - Epoch(train) [35][160/660] lr: 7.8235e-03 eta: 12:34:10 time: 1.0206 data_time: 0.0185 memory: 22681 loss: 2.2584 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2584 2022/10/30 05:47:33 - mmengine - INFO - Epoch(train) [35][180/660] lr: 7.8196e-03 eta: 12:33:49 time: 1.0350 data_time: 0.0227 memory: 22681 loss: 2.1947 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1947 2022/10/30 05:47:54 - mmengine - INFO - Epoch(train) [35][200/660] lr: 7.8157e-03 eta: 12:33:27 time: 1.0222 data_time: 0.0176 memory: 22681 loss: 2.3448 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3448 2022/10/30 05:48:14 - mmengine - INFO - Epoch(train) [35][220/660] lr: 7.8118e-03 eta: 12:33:05 time: 1.0223 data_time: 0.0186 memory: 22681 loss: 2.2205 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2205 2022/10/30 05:48:35 - mmengine - INFO - Epoch(train) [35][240/660] lr: 7.8079e-03 eta: 12:32:44 time: 1.0230 data_time: 0.0184 memory: 22681 loss: 2.2189 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2189 2022/10/30 05:48:56 - mmengine - INFO - Epoch(train) [35][260/660] lr: 7.8040e-03 eta: 12:32:23 time: 1.0366 data_time: 0.0228 memory: 22681 loss: 2.1806 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1806 2022/10/30 05:49:16 - mmengine - INFO - Epoch(train) [35][280/660] lr: 7.8001e-03 eta: 12:32:01 time: 1.0279 data_time: 0.0187 memory: 22681 loss: 2.0364 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0364 2022/10/30 05:49:37 - mmengine - INFO - Epoch(train) [35][300/660] lr: 7.7963e-03 eta: 12:31:40 time: 1.0208 data_time: 0.0178 memory: 22681 loss: 2.1739 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1739 2022/10/30 05:49:57 - mmengine - INFO - Epoch(train) [35][320/660] lr: 7.7924e-03 eta: 12:31:18 time: 1.0254 data_time: 0.0184 memory: 22681 loss: 2.1594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1594 2022/10/30 05:50:18 - mmengine - INFO - Epoch(train) [35][340/660] lr: 7.7885e-03 eta: 12:30:57 time: 1.0399 data_time: 0.0214 memory: 22681 loss: 2.2335 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2335 2022/10/30 05:50:38 - mmengine - INFO - Epoch(train) [35][360/660] lr: 7.7846e-03 eta: 12:30:36 time: 1.0248 data_time: 0.0177 memory: 22681 loss: 2.2677 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2677 2022/10/30 05:50:59 - mmengine - INFO - Epoch(train) [35][380/660] lr: 7.7807e-03 eta: 12:30:14 time: 1.0210 data_time: 0.0183 memory: 22681 loss: 2.2016 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2016 2022/10/30 05:51:19 - mmengine - INFO - Epoch(train) [35][400/660] lr: 7.7767e-03 eta: 12:29:52 time: 1.0204 data_time: 0.0185 memory: 22681 loss: 2.1778 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1778 2022/10/30 05:51:40 - mmengine - INFO - Epoch(train) [35][420/660] lr: 7.7728e-03 eta: 12:29:31 time: 1.0412 data_time: 0.0225 memory: 22681 loss: 2.2875 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2875 2022/10/30 05:52:00 - mmengine - INFO - Epoch(train) [35][440/660] lr: 7.7689e-03 eta: 12:29:10 time: 1.0242 data_time: 0.0176 memory: 22681 loss: 2.3204 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3204 2022/10/30 05:52:21 - mmengine - INFO - Epoch(train) [35][460/660] lr: 7.7650e-03 eta: 12:28:48 time: 1.0215 data_time: 0.0176 memory: 22681 loss: 2.1354 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1354 2022/10/30 05:52:41 - mmengine - INFO - Epoch(train) [35][480/660] lr: 7.7611e-03 eta: 12:28:27 time: 1.0271 data_time: 0.0184 memory: 22681 loss: 2.1645 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1645 2022/10/30 05:53:02 - mmengine - INFO - Epoch(train) [35][500/660] lr: 7.7572e-03 eta: 12:28:06 time: 1.0388 data_time: 0.0231 memory: 22681 loss: 2.2057 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2057 2022/10/30 05:53:23 - mmengine - INFO - Epoch(train) [35][520/660] lr: 7.7533e-03 eta: 12:27:44 time: 1.0247 data_time: 0.0185 memory: 22681 loss: 2.2324 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2324 2022/10/30 05:53:43 - mmengine - INFO - Epoch(train) [35][540/660] lr: 7.7493e-03 eta: 12:27:23 time: 1.0248 data_time: 0.0192 memory: 22681 loss: 2.1399 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1399 2022/10/30 05:54:04 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 05:54:04 - mmengine - INFO - Epoch(train) [35][560/660] lr: 7.7454e-03 eta: 12:27:01 time: 1.0215 data_time: 0.0185 memory: 22681 loss: 2.1788 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.1788 2022/10/30 05:54:24 - mmengine - INFO - Epoch(train) [35][580/660] lr: 7.7415e-03 eta: 12:26:40 time: 1.0370 data_time: 0.0223 memory: 22681 loss: 2.2371 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2371 2022/10/30 05:54:45 - mmengine - INFO - Epoch(train) [35][600/660] lr: 7.7376e-03 eta: 12:26:19 time: 1.0235 data_time: 0.0188 memory: 22681 loss: 2.3240 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3240 2022/10/30 05:55:05 - mmengine - INFO - Epoch(train) [35][620/660] lr: 7.7336e-03 eta: 12:25:57 time: 1.0209 data_time: 0.0186 memory: 22681 loss: 2.1514 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1514 2022/10/30 05:55:26 - mmengine - INFO - Epoch(train) [35][640/660] lr: 7.7297e-03 eta: 12:25:35 time: 1.0216 data_time: 0.0187 memory: 22681 loss: 2.1352 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1352 2022/10/30 05:55:46 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 05:55:46 - mmengine - INFO - Epoch(train) [35][660/660] lr: 7.7257e-03 eta: 12:25:13 time: 1.0137 data_time: 0.0183 memory: 22681 loss: 2.1586 top1_acc: 0.5000 top5_acc: 0.7857 loss_cls: 2.1586 2022/10/30 05:55:49 - mmengine - INFO - Epoch(val) [35][20/194] eta: 0:00:23 time: 0.1370 data_time: 0.0350 memory: 2517 2022/10/30 05:55:51 - mmengine - INFO - Epoch(val) [35][40/194] eta: 0:00:16 time: 0.1089 data_time: 0.0078 memory: 2517 2022/10/30 05:55:53 - mmengine - INFO - Epoch(val) [35][60/194] eta: 0:00:14 time: 0.1088 data_time: 0.0080 memory: 2517 2022/10/30 05:55:55 - mmengine - INFO - Epoch(val) [35][80/194] eta: 0:00:12 time: 0.1082 data_time: 0.0075 memory: 2517 2022/10/30 05:55:57 - mmengine - INFO - Epoch(val) [35][100/194] eta: 0:00:10 time: 0.1080 data_time: 0.0076 memory: 2517 2022/10/30 05:56:00 - mmengine - INFO - Epoch(val) [35][120/194] eta: 0:00:07 time: 0.1080 data_time: 0.0075 memory: 2517 2022/10/30 05:56:02 - mmengine - INFO - Epoch(val) [35][140/194] eta: 0:00:05 time: 0.1082 data_time: 0.0076 memory: 2517 2022/10/30 05:56:04 - mmengine - INFO - Epoch(val) [35][160/194] eta: 0:00:03 time: 0.1091 data_time: 0.0078 memory: 2517 2022/10/30 05:56:06 - mmengine - INFO - Epoch(val) [35][180/194] eta: 0:00:01 time: 0.1090 data_time: 0.0080 memory: 2517 2022/10/30 05:56:09 - mmengine - INFO - Epoch(val) [35][194/194] acc/top1: 0.6370 acc/top5: 0.8919 acc/mean1: 0.5609 2022/10/30 05:56:39 - mmengine - INFO - Epoch(train) [36][20/660] lr: 7.7218e-03 eta: 12:25:09 time: 1.4806 data_time: 0.2632 memory: 22681 loss: 2.1639 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1639 2022/10/30 05:56:59 - mmengine - INFO - Epoch(train) [36][40/660] lr: 7.7179e-03 eta: 12:24:47 time: 1.0216 data_time: 0.0181 memory: 22681 loss: 2.0432 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0432 2022/10/30 05:57:19 - mmengine - INFO - Epoch(train) [36][60/660] lr: 7.7139e-03 eta: 12:24:25 time: 1.0153 data_time: 0.0186 memory: 22681 loss: 2.1385 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1385 2022/10/30 05:57:40 - mmengine - INFO - Epoch(train) [36][80/660] lr: 7.7100e-03 eta: 12:24:04 time: 1.0202 data_time: 0.0207 memory: 22681 loss: 2.1597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1597 2022/10/30 05:58:00 - mmengine - INFO - Epoch(train) [36][100/660] lr: 7.7060e-03 eta: 12:23:42 time: 1.0272 data_time: 0.0240 memory: 22681 loss: 2.1463 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1463 2022/10/30 05:58:21 - mmengine - INFO - Epoch(train) [36][120/660] lr: 7.7021e-03 eta: 12:23:21 time: 1.0260 data_time: 0.0192 memory: 22681 loss: 2.2739 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2739 2022/10/30 05:58:41 - mmengine - INFO - Epoch(train) [36][140/660] lr: 7.6981e-03 eta: 12:22:59 time: 1.0214 data_time: 0.0228 memory: 22681 loss: 2.0528 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0528 2022/10/30 05:59:02 - mmengine - INFO - Epoch(train) [36][160/660] lr: 7.6942e-03 eta: 12:22:37 time: 1.0187 data_time: 0.0200 memory: 22681 loss: 2.0465 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0465 2022/10/30 05:59:22 - mmengine - INFO - Epoch(train) [36][180/660] lr: 7.6902e-03 eta: 12:22:16 time: 1.0277 data_time: 0.0238 memory: 22681 loss: 2.2399 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2399 2022/10/30 05:59:43 - mmengine - INFO - Epoch(train) [36][200/660] lr: 7.6862e-03 eta: 12:21:55 time: 1.0300 data_time: 0.0195 memory: 22681 loss: 2.0499 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0499 2022/10/30 06:00:03 - mmengine - INFO - Epoch(train) [36][220/660] lr: 7.6823e-03 eta: 12:21:33 time: 1.0177 data_time: 0.0186 memory: 22681 loss: 2.3816 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.3816 2022/10/30 06:00:24 - mmengine - INFO - Epoch(train) [36][240/660] lr: 7.6783e-03 eta: 12:21:11 time: 1.0204 data_time: 0.0196 memory: 22681 loss: 2.2203 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2203 2022/10/30 06:00:44 - mmengine - INFO - Epoch(train) [36][260/660] lr: 7.6743e-03 eta: 12:20:50 time: 1.0285 data_time: 0.0242 memory: 22681 loss: 2.3222 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3222 2022/10/30 06:01:05 - mmengine - INFO - Epoch(train) [36][280/660] lr: 7.6704e-03 eta: 12:20:29 time: 1.0302 data_time: 0.0190 memory: 22681 loss: 2.1268 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 2.1268 2022/10/30 06:01:25 - mmengine - INFO - Epoch(train) [36][300/660] lr: 7.6664e-03 eta: 12:20:07 time: 1.0212 data_time: 0.0192 memory: 22681 loss: 2.2818 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2818 2022/10/30 06:01:46 - mmengine - INFO - Epoch(train) [36][320/660] lr: 7.6624e-03 eta: 12:19:45 time: 1.0206 data_time: 0.0196 memory: 22681 loss: 2.2005 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2005 2022/10/30 06:02:06 - mmengine - INFO - Epoch(train) [36][340/660] lr: 7.6585e-03 eta: 12:19:24 time: 1.0277 data_time: 0.0238 memory: 22681 loss: 2.2346 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2346 2022/10/30 06:02:27 - mmengine - INFO - Epoch(train) [36][360/660] lr: 7.6545e-03 eta: 12:19:03 time: 1.0345 data_time: 0.0185 memory: 22681 loss: 2.1680 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1680 2022/10/30 06:02:47 - mmengine - INFO - Epoch(train) [36][380/660] lr: 7.6505e-03 eta: 12:18:41 time: 1.0255 data_time: 0.0195 memory: 22681 loss: 2.1947 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1947 2022/10/30 06:03:08 - mmengine - INFO - Epoch(train) [36][400/660] lr: 7.6465e-03 eta: 12:18:20 time: 1.0208 data_time: 0.0201 memory: 22681 loss: 2.1136 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1136 2022/10/30 06:03:28 - mmengine - INFO - Epoch(train) [36][420/660] lr: 7.6425e-03 eta: 12:17:59 time: 1.0339 data_time: 0.0240 memory: 22681 loss: 2.2370 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2370 2022/10/30 06:03:49 - mmengine - INFO - Epoch(train) [36][440/660] lr: 7.6385e-03 eta: 12:17:37 time: 1.0322 data_time: 0.0187 memory: 22681 loss: 2.1724 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1724 2022/10/30 06:04:10 - mmengine - INFO - Epoch(train) [36][460/660] lr: 7.6345e-03 eta: 12:17:16 time: 1.0257 data_time: 0.0183 memory: 22681 loss: 2.1728 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1728 2022/10/30 06:04:30 - mmengine - INFO - Epoch(train) [36][480/660] lr: 7.6305e-03 eta: 12:16:55 time: 1.0261 data_time: 0.0196 memory: 22681 loss: 2.1015 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1015 2022/10/30 06:04:51 - mmengine - INFO - Epoch(train) [36][500/660] lr: 7.6266e-03 eta: 12:16:33 time: 1.0361 data_time: 0.0230 memory: 22681 loss: 2.1980 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1980 2022/10/30 06:05:12 - mmengine - INFO - Epoch(train) [36][520/660] lr: 7.6226e-03 eta: 12:16:12 time: 1.0374 data_time: 0.0183 memory: 22681 loss: 2.0919 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0919 2022/10/30 06:05:32 - mmengine - INFO - Epoch(train) [36][540/660] lr: 7.6186e-03 eta: 12:15:51 time: 1.0245 data_time: 0.0175 memory: 22681 loss: 2.1757 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1757 2022/10/30 06:05:53 - mmengine - INFO - Epoch(train) [36][560/660] lr: 7.6146e-03 eta: 12:15:29 time: 1.0239 data_time: 0.0190 memory: 22681 loss: 2.1054 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1054 2022/10/30 06:06:13 - mmengine - INFO - Epoch(train) [36][580/660] lr: 7.6105e-03 eta: 12:15:09 time: 1.0429 data_time: 0.0237 memory: 22681 loss: 2.1404 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1404 2022/10/30 06:06:34 - mmengine - INFO - Epoch(train) [36][600/660] lr: 7.6065e-03 eta: 12:14:48 time: 1.0357 data_time: 0.0198 memory: 22681 loss: 2.2405 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2405 2022/10/30 06:06:55 - mmengine - INFO - Epoch(train) [36][620/660] lr: 7.6025e-03 eta: 12:14:26 time: 1.0254 data_time: 0.0191 memory: 22681 loss: 2.1024 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1024 2022/10/30 06:07:15 - mmengine - INFO - Epoch(train) [36][640/660] lr: 7.5985e-03 eta: 12:14:04 time: 1.0197 data_time: 0.0190 memory: 22681 loss: 2.2719 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2719 2022/10/30 06:07:35 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 06:07:35 - mmengine - INFO - Epoch(train) [36][660/660] lr: 7.5945e-03 eta: 12:13:43 time: 1.0117 data_time: 0.0197 memory: 22681 loss: 2.1013 top1_acc: 0.4286 top5_acc: 0.7857 loss_cls: 2.1013 2022/10/30 06:07:35 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/10/30 06:07:39 - mmengine - INFO - Epoch(val) [36][20/194] eta: 0:00:21 time: 0.1262 data_time: 0.0250 memory: 2517 2022/10/30 06:07:41 - mmengine - INFO - Epoch(val) [36][40/194] eta: 0:00:16 time: 0.1092 data_time: 0.0076 memory: 2517 2022/10/30 06:07:43 - mmengine - INFO - Epoch(val) [36][60/194] eta: 0:00:14 time: 0.1097 data_time: 0.0080 memory: 2517 2022/10/30 06:07:46 - mmengine - INFO - Epoch(val) [36][80/194] eta: 0:00:12 time: 0.1086 data_time: 0.0078 memory: 2517 2022/10/30 06:07:48 - mmengine - INFO - Epoch(val) [36][100/194] eta: 0:00:10 time: 0.1104 data_time: 0.0083 memory: 2517 2022/10/30 06:07:50 - mmengine - INFO - Epoch(val) [36][120/194] eta: 0:00:08 time: 0.1120 data_time: 0.0089 memory: 2517 2022/10/30 06:07:52 - mmengine - INFO - Epoch(val) [36][140/194] eta: 0:00:05 time: 0.1101 data_time: 0.0079 memory: 2517 2022/10/30 06:07:54 - mmengine - INFO - Epoch(val) [36][160/194] eta: 0:00:03 time: 0.1106 data_time: 0.0084 memory: 2517 2022/10/30 06:07:57 - mmengine - INFO - Epoch(val) [36][180/194] eta: 0:00:01 time: 0.1088 data_time: 0.0078 memory: 2517 2022/10/30 06:07:59 - mmengine - INFO - Epoch(val) [36][194/194] acc/top1: 0.6358 acc/top5: 0.8930 acc/mean1: 0.5619 2022/10/30 06:08:28 - mmengine - INFO - Epoch(train) [37][20/660] lr: 7.5905e-03 eta: 12:13:36 time: 1.4588 data_time: 0.2394 memory: 22681 loss: 2.1199 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.1199 2022/10/30 06:08:49 - mmengine - INFO - Epoch(train) [37][40/660] lr: 7.5865e-03 eta: 12:13:15 time: 1.0283 data_time: 0.0190 memory: 22681 loss: 2.2742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2742 2022/10/30 06:09:09 - mmengine - INFO - Epoch(train) [37][60/660] lr: 7.5824e-03 eta: 12:12:54 time: 1.0224 data_time: 0.0182 memory: 22681 loss: 2.1957 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1957 2022/10/30 06:09:30 - mmengine - INFO - Epoch(train) [37][80/660] lr: 7.5784e-03 eta: 12:12:32 time: 1.0229 data_time: 0.0167 memory: 22681 loss: 2.1251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1251 2022/10/30 06:09:50 - mmengine - INFO - Epoch(train) [37][100/660] lr: 7.5744e-03 eta: 12:12:11 time: 1.0388 data_time: 0.0212 memory: 22681 loss: 2.1496 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1496 2022/10/30 06:10:11 - mmengine - INFO - Epoch(train) [37][120/660] lr: 7.5704e-03 eta: 12:11:50 time: 1.0306 data_time: 0.0192 memory: 22681 loss: 2.2529 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2529 2022/10/30 06:10:31 - mmengine - INFO - Epoch(train) [37][140/660] lr: 7.5663e-03 eta: 12:11:28 time: 1.0261 data_time: 0.0181 memory: 22681 loss: 2.0241 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0241 2022/10/30 06:10:52 - mmengine - INFO - Epoch(train) [37][160/660] lr: 7.5623e-03 eta: 12:11:07 time: 1.0237 data_time: 0.0177 memory: 22681 loss: 2.2715 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2715 2022/10/30 06:11:13 - mmengine - INFO - Epoch(train) [37][180/660] lr: 7.5583e-03 eta: 12:10:46 time: 1.0384 data_time: 0.0229 memory: 22681 loss: 2.2425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2425 2022/10/30 06:11:33 - mmengine - INFO - Epoch(train) [37][200/660] lr: 7.5542e-03 eta: 12:10:25 time: 1.0354 data_time: 0.0197 memory: 22681 loss: 2.1538 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1538 2022/10/30 06:11:54 - mmengine - INFO - Epoch(train) [37][220/660] lr: 7.5502e-03 eta: 12:10:03 time: 1.0316 data_time: 0.0180 memory: 22681 loss: 2.2713 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2713 2022/10/30 06:12:15 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 06:12:15 - mmengine - INFO - Epoch(train) [37][240/660] lr: 7.5462e-03 eta: 12:09:42 time: 1.0289 data_time: 0.0180 memory: 22681 loss: 2.1710 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1710 2022/10/30 06:12:36 - mmengine - INFO - Epoch(train) [37][260/660] lr: 7.5421e-03 eta: 12:09:21 time: 1.0456 data_time: 0.0236 memory: 22681 loss: 2.1731 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1731 2022/10/30 06:12:56 - mmengine - INFO - Epoch(train) [37][280/660] lr: 7.5381e-03 eta: 12:09:00 time: 1.0340 data_time: 0.0206 memory: 22681 loss: 2.1717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1717 2022/10/30 06:13:17 - mmengine - INFO - Epoch(train) [37][300/660] lr: 7.5340e-03 eta: 12:08:39 time: 1.0302 data_time: 0.0189 memory: 22681 loss: 2.1155 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.1155 2022/10/30 06:13:37 - mmengine - INFO - Epoch(train) [37][320/660] lr: 7.5300e-03 eta: 12:08:18 time: 1.0260 data_time: 0.0185 memory: 22681 loss: 2.3563 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3563 2022/10/30 06:13:58 - mmengine - INFO - Epoch(train) [37][340/660] lr: 7.5259e-03 eta: 12:07:57 time: 1.0412 data_time: 0.0220 memory: 22681 loss: 2.1745 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1745 2022/10/30 06:14:19 - mmengine - INFO - Epoch(train) [37][360/660] lr: 7.5219e-03 eta: 12:07:36 time: 1.0352 data_time: 0.0197 memory: 22681 loss: 2.1672 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1672 2022/10/30 06:14:39 - mmengine - INFO - Epoch(train) [37][380/660] lr: 7.5178e-03 eta: 12:07:14 time: 1.0318 data_time: 0.0189 memory: 22681 loss: 2.2011 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2011 2022/10/30 06:15:00 - mmengine - INFO - Epoch(train) [37][400/660] lr: 7.5138e-03 eta: 12:06:53 time: 1.0301 data_time: 0.0174 memory: 22681 loss: 2.0316 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0316 2022/10/30 06:15:21 - mmengine - INFO - Epoch(train) [37][420/660] lr: 7.5097e-03 eta: 12:06:32 time: 1.0381 data_time: 0.0181 memory: 22681 loss: 2.0911 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0911 2022/10/30 06:15:42 - mmengine - INFO - Epoch(train) [37][440/660] lr: 7.5056e-03 eta: 12:06:11 time: 1.0346 data_time: 0.0231 memory: 22681 loss: 2.2443 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2443 2022/10/30 06:16:02 - mmengine - INFO - Epoch(train) [37][460/660] lr: 7.5016e-03 eta: 12:05:50 time: 1.0357 data_time: 0.0171 memory: 22681 loss: 2.1278 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1278 2022/10/30 06:16:23 - mmengine - INFO - Epoch(train) [37][480/660] lr: 7.4975e-03 eta: 12:05:29 time: 1.0290 data_time: 0.0176 memory: 22681 loss: 2.3813 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3813 2022/10/30 06:16:44 - mmengine - INFO - Epoch(train) [37][500/660] lr: 7.4934e-03 eta: 12:05:08 time: 1.0466 data_time: 0.0189 memory: 22681 loss: 2.0426 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 2.0426 2022/10/30 06:17:04 - mmengine - INFO - Epoch(train) [37][520/660] lr: 7.4894e-03 eta: 12:04:47 time: 1.0351 data_time: 0.0233 memory: 22681 loss: 2.2939 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2939 2022/10/30 06:17:25 - mmengine - INFO - Epoch(train) [37][540/660] lr: 7.4853e-03 eta: 12:04:26 time: 1.0388 data_time: 0.0198 memory: 22681 loss: 2.1579 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1579 2022/10/30 06:17:46 - mmengine - INFO - Epoch(train) [37][560/660] lr: 7.4812e-03 eta: 12:04:05 time: 1.0326 data_time: 0.0185 memory: 22681 loss: 2.1702 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1702 2022/10/30 06:18:07 - mmengine - INFO - Epoch(train) [37][580/660] lr: 7.4771e-03 eta: 12:03:44 time: 1.0469 data_time: 0.0180 memory: 22681 loss: 2.1950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1950 2022/10/30 06:18:28 - mmengine - INFO - Epoch(train) [37][600/660] lr: 7.4731e-03 eta: 12:03:23 time: 1.0390 data_time: 0.0228 memory: 22681 loss: 2.0942 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0942 2022/10/30 06:18:48 - mmengine - INFO - Epoch(train) [37][620/660] lr: 7.4690e-03 eta: 12:03:02 time: 1.0407 data_time: 0.0194 memory: 22681 loss: 2.2776 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2776 2022/10/30 06:19:09 - mmengine - INFO - Epoch(train) [37][640/660] lr: 7.4649e-03 eta: 12:02:41 time: 1.0288 data_time: 0.0176 memory: 22681 loss: 2.0598 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0598 2022/10/30 06:19:29 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 06:19:29 - mmengine - INFO - Epoch(train) [37][660/660] lr: 7.4608e-03 eta: 12:02:19 time: 1.0181 data_time: 0.0170 memory: 22681 loss: 2.3781 top1_acc: 0.5714 top5_acc: 0.7857 loss_cls: 2.3781 2022/10/30 06:19:32 - mmengine - INFO - Epoch(val) [37][20/194] eta: 0:00:23 time: 0.1365 data_time: 0.0338 memory: 2517 2022/10/30 06:19:34 - mmengine - INFO - Epoch(val) [37][40/194] eta: 0:00:16 time: 0.1093 data_time: 0.0082 memory: 2517 2022/10/30 06:19:36 - mmengine - INFO - Epoch(val) [37][60/194] eta: 0:00:14 time: 0.1081 data_time: 0.0074 memory: 2517 2022/10/30 06:19:39 - mmengine - INFO - Epoch(val) [37][80/194] eta: 0:00:12 time: 0.1088 data_time: 0.0077 memory: 2517 2022/10/30 06:19:41 - mmengine - INFO - Epoch(val) [37][100/194] eta: 0:00:10 time: 0.1083 data_time: 0.0075 memory: 2517 2022/10/30 06:19:43 - mmengine - INFO - Epoch(val) [37][120/194] eta: 0:00:08 time: 0.1088 data_time: 0.0075 memory: 2517 2022/10/30 06:19:45 - mmengine - INFO - Epoch(val) [37][140/194] eta: 0:00:05 time: 0.1085 data_time: 0.0075 memory: 2517 2022/10/30 06:19:47 - mmengine - INFO - Epoch(val) [37][160/194] eta: 0:00:03 time: 0.1086 data_time: 0.0074 memory: 2517 2022/10/30 06:19:50 - mmengine - INFO - Epoch(val) [37][180/194] eta: 0:00:01 time: 0.1102 data_time: 0.0081 memory: 2517 2022/10/30 06:19:53 - mmengine - INFO - Epoch(val) [37][194/194] acc/top1: 0.6431 acc/top5: 0.8949 acc/mean1: 0.5680 2022/10/30 06:19:53 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_34.pth is removed 2022/10/30 06:19:54 - mmengine - INFO - The best checkpoint with 0.6431 acc/top1 at 37 epoch is saved to best_acc/top1_epoch_37.pth. 2022/10/30 06:20:24 - mmengine - INFO - Epoch(train) [38][20/660] lr: 7.4567e-03 eta: 12:02:13 time: 1.4663 data_time: 0.2483 memory: 22681 loss: 1.9833 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9833 2022/10/30 06:20:44 - mmengine - INFO - Epoch(train) [38][40/660] lr: 7.4526e-03 eta: 12:01:51 time: 1.0158 data_time: 0.0178 memory: 22681 loss: 2.0789 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0789 2022/10/30 06:21:04 - mmengine - INFO - Epoch(train) [38][60/660] lr: 7.4485e-03 eta: 12:01:29 time: 1.0188 data_time: 0.0184 memory: 22681 loss: 2.0890 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0890 2022/10/30 06:21:25 - mmengine - INFO - Epoch(train) [38][80/660] lr: 7.4444e-03 eta: 12:01:08 time: 1.0172 data_time: 0.0178 memory: 22681 loss: 2.1061 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1061 2022/10/30 06:21:45 - mmengine - INFO - Epoch(train) [38][100/660] lr: 7.4403e-03 eta: 12:00:46 time: 1.0329 data_time: 0.0229 memory: 22681 loss: 2.0326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0326 2022/10/30 06:22:06 - mmengine - INFO - Epoch(train) [38][120/660] lr: 7.4362e-03 eta: 12:00:25 time: 1.0292 data_time: 0.0185 memory: 22681 loss: 2.2790 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2790 2022/10/30 06:22:26 - mmengine - INFO - Epoch(train) [38][140/660] lr: 7.4321e-03 eta: 12:00:04 time: 1.0239 data_time: 0.0186 memory: 22681 loss: 2.2968 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2968 2022/10/30 06:22:47 - mmengine - INFO - Epoch(train) [38][160/660] lr: 7.4280e-03 eta: 11:59:42 time: 1.0231 data_time: 0.0178 memory: 22681 loss: 2.0271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0271 2022/10/30 06:23:08 - mmengine - INFO - Epoch(train) [38][180/660] lr: 7.4239e-03 eta: 11:59:21 time: 1.0403 data_time: 0.0236 memory: 22681 loss: 2.0808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0808 2022/10/30 06:23:28 - mmengine - INFO - Epoch(train) [38][200/660] lr: 7.4198e-03 eta: 11:59:00 time: 1.0293 data_time: 0.0190 memory: 22681 loss: 2.3146 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3146 2022/10/30 06:23:49 - mmengine - INFO - Epoch(train) [38][220/660] lr: 7.4157e-03 eta: 11:58:38 time: 1.0215 data_time: 0.0199 memory: 22681 loss: 2.1355 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1355 2022/10/30 06:24:09 - mmengine - INFO - Epoch(train) [38][240/660] lr: 7.4116e-03 eta: 11:58:17 time: 1.0198 data_time: 0.0182 memory: 22681 loss: 2.1209 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1209 2022/10/30 06:24:30 - mmengine - INFO - Epoch(train) [38][260/660] lr: 7.4075e-03 eta: 11:57:56 time: 1.0361 data_time: 0.0235 memory: 22681 loss: 2.2302 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2302 2022/10/30 06:24:50 - mmengine - INFO - Epoch(train) [38][280/660] lr: 7.4034e-03 eta: 11:57:35 time: 1.0364 data_time: 0.0193 memory: 22681 loss: 2.2950 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2950 2022/10/30 06:25:11 - mmengine - INFO - Epoch(train) [38][300/660] lr: 7.3992e-03 eta: 11:57:13 time: 1.0275 data_time: 0.0197 memory: 22681 loss: 2.2140 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2140 2022/10/30 06:25:32 - mmengine - INFO - Epoch(train) [38][320/660] lr: 7.3951e-03 eta: 11:56:52 time: 1.0253 data_time: 0.0191 memory: 22681 loss: 2.1424 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1424 2022/10/30 06:25:52 - mmengine - INFO - Epoch(train) [38][340/660] lr: 7.3910e-03 eta: 11:56:31 time: 1.0397 data_time: 0.0236 memory: 22681 loss: 2.1394 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1394 2022/10/30 06:26:13 - mmengine - INFO - Epoch(train) [38][360/660] lr: 7.3869e-03 eta: 11:56:10 time: 1.0324 data_time: 0.0207 memory: 22681 loss: 2.1933 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.1933 2022/10/30 06:26:33 - mmengine - INFO - Epoch(train) [38][380/660] lr: 7.3827e-03 eta: 11:55:48 time: 1.0248 data_time: 0.0190 memory: 22681 loss: 2.0675 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0675 2022/10/30 06:26:54 - mmengine - INFO - Epoch(train) [38][400/660] lr: 7.3786e-03 eta: 11:55:27 time: 1.0278 data_time: 0.0187 memory: 22681 loss: 2.3761 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3761 2022/10/30 06:27:15 - mmengine - INFO - Epoch(train) [38][420/660] lr: 7.3745e-03 eta: 11:55:06 time: 1.0366 data_time: 0.0250 memory: 22681 loss: 2.0870 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0870 2022/10/30 06:27:35 - mmengine - INFO - Epoch(train) [38][440/660] lr: 7.3704e-03 eta: 11:54:45 time: 1.0332 data_time: 0.0200 memory: 22681 loss: 2.1155 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1155 2022/10/30 06:27:56 - mmengine - INFO - Epoch(train) [38][460/660] lr: 7.3662e-03 eta: 11:54:23 time: 1.0256 data_time: 0.0190 memory: 22681 loss: 2.1088 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1088 2022/10/30 06:28:16 - mmengine - INFO - Epoch(train) [38][480/660] lr: 7.3621e-03 eta: 11:54:02 time: 1.0256 data_time: 0.0186 memory: 22681 loss: 1.8559 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8559 2022/10/30 06:28:37 - mmengine - INFO - Epoch(train) [38][500/660] lr: 7.3579e-03 eta: 11:53:41 time: 1.0454 data_time: 0.0256 memory: 22681 loss: 2.0225 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0225 2022/10/30 06:28:58 - mmengine - INFO - Epoch(train) [38][520/660] lr: 7.3538e-03 eta: 11:53:20 time: 1.0364 data_time: 0.0195 memory: 22681 loss: 2.2235 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2235 2022/10/30 06:29:19 - mmengine - INFO - Epoch(train) [38][540/660] lr: 7.3497e-03 eta: 11:52:59 time: 1.0274 data_time: 0.0195 memory: 22681 loss: 2.1590 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1590 2022/10/30 06:29:39 - mmengine - INFO - Epoch(train) [38][560/660] lr: 7.3455e-03 eta: 11:52:37 time: 1.0281 data_time: 0.0192 memory: 22681 loss: 2.1545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1545 2022/10/30 06:30:00 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 06:30:00 - mmengine - INFO - Epoch(train) [38][580/660] lr: 7.3414e-03 eta: 11:52:17 time: 1.0424 data_time: 0.0240 memory: 22681 loss: 2.2987 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2987 2022/10/30 06:30:21 - mmengine - INFO - Epoch(train) [38][600/660] lr: 7.3372e-03 eta: 11:51:55 time: 1.0328 data_time: 0.0196 memory: 22681 loss: 2.1489 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1489 2022/10/30 06:30:41 - mmengine - INFO - Epoch(train) [38][620/660] lr: 7.3331e-03 eta: 11:51:34 time: 1.0292 data_time: 0.0185 memory: 22681 loss: 2.1539 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1539 2022/10/30 06:31:02 - mmengine - INFO - Epoch(train) [38][640/660] lr: 7.3289e-03 eta: 11:51:13 time: 1.0224 data_time: 0.0198 memory: 22681 loss: 2.2395 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2395 2022/10/30 06:31:22 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 06:31:22 - mmengine - INFO - Epoch(train) [38][660/660] lr: 7.3248e-03 eta: 11:50:51 time: 1.0187 data_time: 0.0214 memory: 22681 loss: 2.1456 top1_acc: 0.6429 top5_acc: 0.7857 loss_cls: 2.1456 2022/10/30 06:31:25 - mmengine - INFO - Epoch(val) [38][20/194] eta: 0:00:23 time: 0.1370 data_time: 0.0351 memory: 2517 2022/10/30 06:31:27 - mmengine - INFO - Epoch(val) [38][40/194] eta: 0:00:16 time: 0.1092 data_time: 0.0080 memory: 2517 2022/10/30 06:31:29 - mmengine - INFO - Epoch(val) [38][60/194] eta: 0:00:14 time: 0.1089 data_time: 0.0076 memory: 2517 2022/10/30 06:31:31 - mmengine - INFO - Epoch(val) [38][80/194] eta: 0:00:12 time: 0.1087 data_time: 0.0076 memory: 2517 2022/10/30 06:31:34 - mmengine - INFO - Epoch(val) [38][100/194] eta: 0:00:10 time: 0.1097 data_time: 0.0081 memory: 2517 2022/10/30 06:31:36 - mmengine - INFO - Epoch(val) [38][120/194] eta: 0:00:08 time: 0.1087 data_time: 0.0078 memory: 2517 2022/10/30 06:31:38 - mmengine - INFO - Epoch(val) [38][140/194] eta: 0:00:05 time: 0.1094 data_time: 0.0082 memory: 2517 2022/10/30 06:31:40 - mmengine - INFO - Epoch(val) [38][160/194] eta: 0:00:03 time: 0.1087 data_time: 0.0076 memory: 2517 2022/10/30 06:31:42 - mmengine - INFO - Epoch(val) [38][180/194] eta: 0:00:01 time: 0.1106 data_time: 0.0091 memory: 2517 2022/10/30 06:31:45 - mmengine - INFO - Epoch(val) [38][194/194] acc/top1: 0.6396 acc/top5: 0.8949 acc/mean1: 0.5644 2022/10/30 06:32:15 - mmengine - INFO - Epoch(train) [39][20/660] lr: 7.3206e-03 eta: 11:50:44 time: 1.4665 data_time: 0.2393 memory: 22681 loss: 2.1747 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1747 2022/10/30 06:32:35 - mmengine - INFO - Epoch(train) [39][40/660] lr: 7.3164e-03 eta: 11:50:22 time: 1.0207 data_time: 0.0179 memory: 22681 loss: 2.0699 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0699 2022/10/30 06:32:55 - mmengine - INFO - Epoch(train) [39][60/660] lr: 7.3123e-03 eta: 11:50:01 time: 1.0193 data_time: 0.0196 memory: 22681 loss: 2.2620 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2620 2022/10/30 06:33:16 - mmengine - INFO - Epoch(train) [39][80/660] lr: 7.3081e-03 eta: 11:49:39 time: 1.0174 data_time: 0.0195 memory: 22681 loss: 2.1879 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1879 2022/10/30 06:33:36 - mmengine - INFO - Epoch(train) [39][100/660] lr: 7.3040e-03 eta: 11:49:18 time: 1.0356 data_time: 0.0245 memory: 22681 loss: 1.9989 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9989 2022/10/30 06:33:57 - mmengine - INFO - Epoch(train) [39][120/660] lr: 7.2998e-03 eta: 11:48:57 time: 1.0222 data_time: 0.0183 memory: 22681 loss: 2.1730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1730 2022/10/30 06:34:17 - mmengine - INFO - Epoch(train) [39][140/660] lr: 7.2956e-03 eta: 11:48:35 time: 1.0261 data_time: 0.0239 memory: 22681 loss: 2.1685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1685 2022/10/30 06:34:38 - mmengine - INFO - Epoch(train) [39][160/660] lr: 7.2914e-03 eta: 11:48:14 time: 1.0243 data_time: 0.0193 memory: 22681 loss: 2.1577 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1577 2022/10/30 06:34:59 - mmengine - INFO - Epoch(train) [39][180/660] lr: 7.2873e-03 eta: 11:47:53 time: 1.0428 data_time: 0.0240 memory: 22681 loss: 2.0985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0985 2022/10/30 06:35:19 - mmengine - INFO - Epoch(train) [39][200/660] lr: 7.2831e-03 eta: 11:47:32 time: 1.0314 data_time: 0.0178 memory: 22681 loss: 2.1479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1479 2022/10/30 06:35:40 - mmengine - INFO - Epoch(train) [39][220/660] lr: 7.2789e-03 eta: 11:47:10 time: 1.0284 data_time: 0.0200 memory: 22681 loss: 2.1593 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1593 2022/10/30 06:36:00 - mmengine - INFO - Epoch(train) [39][240/660] lr: 7.2747e-03 eta: 11:46:49 time: 1.0245 data_time: 0.0193 memory: 22681 loss: 2.2700 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2700 2022/10/30 06:36:21 - mmengine - INFO - Epoch(train) [39][260/660] lr: 7.2706e-03 eta: 11:46:28 time: 1.0409 data_time: 0.0234 memory: 22681 loss: 2.2515 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2515 2022/10/30 06:36:42 - mmengine - INFO - Epoch(train) [39][280/660] lr: 7.2664e-03 eta: 11:46:07 time: 1.0310 data_time: 0.0184 memory: 22681 loss: 2.1179 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1179 2022/10/30 06:37:02 - mmengine - INFO - Epoch(train) [39][300/660] lr: 7.2622e-03 eta: 11:45:45 time: 1.0231 data_time: 0.0193 memory: 22681 loss: 2.1452 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1452 2022/10/30 06:37:23 - mmengine - INFO - Epoch(train) [39][320/660] lr: 7.2580e-03 eta: 11:45:24 time: 1.0248 data_time: 0.0191 memory: 22681 loss: 2.2860 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2860 2022/10/30 06:37:44 - mmengine - INFO - Epoch(train) [39][340/660] lr: 7.2538e-03 eta: 11:45:03 time: 1.0427 data_time: 0.0241 memory: 22681 loss: 2.1013 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1013 2022/10/30 06:38:04 - mmengine - INFO - Epoch(train) [39][360/660] lr: 7.2496e-03 eta: 11:44:42 time: 1.0260 data_time: 0.0187 memory: 22681 loss: 2.0559 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0559 2022/10/30 06:38:25 - mmengine - INFO - Epoch(train) [39][380/660] lr: 7.2454e-03 eta: 11:44:20 time: 1.0248 data_time: 0.0194 memory: 22681 loss: 2.1516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1516 2022/10/30 06:38:45 - mmengine - INFO - Epoch(train) [39][400/660] lr: 7.2412e-03 eta: 11:43:59 time: 1.0240 data_time: 0.0195 memory: 22681 loss: 2.2029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2029 2022/10/30 06:39:06 - mmengine - INFO - Epoch(train) [39][420/660] lr: 7.2370e-03 eta: 11:43:38 time: 1.0463 data_time: 0.0235 memory: 22681 loss: 2.1822 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 2.1822 2022/10/30 06:39:27 - mmengine - INFO - Epoch(train) [39][440/660] lr: 7.2328e-03 eta: 11:43:17 time: 1.0277 data_time: 0.0186 memory: 22681 loss: 2.1291 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1291 2022/10/30 06:39:47 - mmengine - INFO - Epoch(train) [39][460/660] lr: 7.2286e-03 eta: 11:42:55 time: 1.0243 data_time: 0.0186 memory: 22681 loss: 2.0487 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0487 2022/10/30 06:40:08 - mmengine - INFO - Epoch(train) [39][480/660] lr: 7.2244e-03 eta: 11:42:34 time: 1.0241 data_time: 0.0197 memory: 22681 loss: 2.1664 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1664 2022/10/30 06:40:29 - mmengine - INFO - Epoch(train) [39][500/660] lr: 7.2202e-03 eta: 11:42:13 time: 1.0432 data_time: 0.0244 memory: 22681 loss: 2.1690 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1690 2022/10/30 06:40:49 - mmengine - INFO - Epoch(train) [39][520/660] lr: 7.2160e-03 eta: 11:41:52 time: 1.0301 data_time: 0.0194 memory: 22681 loss: 2.1618 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1618 2022/10/30 06:41:10 - mmengine - INFO - Epoch(train) [39][540/660] lr: 7.2118e-03 eta: 11:41:30 time: 1.0230 data_time: 0.0186 memory: 22681 loss: 2.2341 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.2341 2022/10/30 06:41:30 - mmengine - INFO - Epoch(train) [39][560/660] lr: 7.2076e-03 eta: 11:41:09 time: 1.0232 data_time: 0.0188 memory: 22681 loss: 2.1689 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.1689 2022/10/30 06:41:51 - mmengine - INFO - Epoch(train) [39][580/660] lr: 7.2034e-03 eta: 11:40:48 time: 1.0394 data_time: 0.0249 memory: 22681 loss: 2.0504 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0504 2022/10/30 06:42:11 - mmengine - INFO - Epoch(train) [39][600/660] lr: 7.1992e-03 eta: 11:40:27 time: 1.0266 data_time: 0.0189 memory: 22681 loss: 2.1382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1382 2022/10/30 06:42:32 - mmengine - INFO - Epoch(train) [39][620/660] lr: 7.1950e-03 eta: 11:40:05 time: 1.0260 data_time: 0.0190 memory: 22681 loss: 2.1681 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1681 2022/10/30 06:42:52 - mmengine - INFO - Epoch(train) [39][640/660] lr: 7.1907e-03 eta: 11:39:44 time: 1.0225 data_time: 0.0195 memory: 22681 loss: 2.1619 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1619 2022/10/30 06:43:13 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 06:43:13 - mmengine - INFO - Epoch(train) [39][660/660] lr: 7.1865e-03 eta: 11:39:22 time: 1.0140 data_time: 0.0212 memory: 22681 loss: 1.9640 top1_acc: 0.6429 top5_acc: 0.9286 loss_cls: 1.9640 2022/10/30 06:43:13 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/10/30 06:43:16 - mmengine - INFO - Epoch(val) [39][20/194] eta: 0:00:22 time: 0.1273 data_time: 0.0251 memory: 2517 2022/10/30 06:43:19 - mmengine - INFO - Epoch(val) [39][40/194] eta: 0:00:16 time: 0.1102 data_time: 0.0085 memory: 2517 2022/10/30 06:43:21 - mmengine - INFO - Epoch(val) [39][60/194] eta: 0:00:14 time: 0.1089 data_time: 0.0079 memory: 2517 2022/10/30 06:43:23 - mmengine - INFO - Epoch(val) [39][80/194] eta: 0:00:12 time: 0.1088 data_time: 0.0077 memory: 2517 2022/10/30 06:43:25 - mmengine - INFO - Epoch(val) [39][100/194] eta: 0:00:10 time: 0.1088 data_time: 0.0077 memory: 2517 2022/10/30 06:43:27 - mmengine - INFO - Epoch(val) [39][120/194] eta: 0:00:08 time: 0.1095 data_time: 0.0078 memory: 2517 2022/10/30 06:43:30 - mmengine - INFO - Epoch(val) [39][140/194] eta: 0:00:05 time: 0.1095 data_time: 0.0080 memory: 2517 2022/10/30 06:43:32 - mmengine - INFO - Epoch(val) [39][160/194] eta: 0:00:03 time: 0.1104 data_time: 0.0082 memory: 2517 2022/10/30 06:43:34 - mmengine - INFO - Epoch(val) [39][180/194] eta: 0:00:01 time: 0.1099 data_time: 0.0082 memory: 2517 2022/10/30 06:43:36 - mmengine - INFO - Epoch(val) [39][194/194] acc/top1: 0.6399 acc/top5: 0.8943 acc/mean1: 0.5665 2022/10/30 06:44:06 - mmengine - INFO - Epoch(train) [40][20/660] lr: 7.1823e-03 eta: 11:39:15 time: 1.4928 data_time: 0.2549 memory: 22681 loss: 2.1638 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1638 2022/10/30 06:44:27 - mmengine - INFO - Epoch(train) [40][40/660] lr: 7.1781e-03 eta: 11:38:54 time: 1.0239 data_time: 0.0185 memory: 22681 loss: 2.1230 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1230 2022/10/30 06:44:47 - mmengine - INFO - Epoch(train) [40][60/660] lr: 7.1739e-03 eta: 11:38:33 time: 1.0229 data_time: 0.0184 memory: 22681 loss: 2.0081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0081 2022/10/30 06:45:07 - mmengine - INFO - Epoch(train) [40][80/660] lr: 7.1696e-03 eta: 11:38:11 time: 1.0229 data_time: 0.0186 memory: 22681 loss: 2.1299 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1299 2022/10/30 06:45:28 - mmengine - INFO - Epoch(train) [40][100/660] lr: 7.1654e-03 eta: 11:37:50 time: 1.0345 data_time: 0.0226 memory: 22681 loss: 2.1750 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1750 2022/10/30 06:45:49 - mmengine - INFO - Epoch(train) [40][120/660] lr: 7.1612e-03 eta: 11:37:29 time: 1.0294 data_time: 0.0188 memory: 22681 loss: 2.1374 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1374 2022/10/30 06:46:09 - mmengine - INFO - Epoch(train) [40][140/660] lr: 7.1569e-03 eta: 11:37:08 time: 1.0318 data_time: 0.0185 memory: 22681 loss: 2.0921 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0921 2022/10/30 06:46:30 - mmengine - INFO - Epoch(train) [40][160/660] lr: 7.1527e-03 eta: 11:36:46 time: 1.0243 data_time: 0.0185 memory: 22681 loss: 2.2390 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2390 2022/10/30 06:46:51 - mmengine - INFO - Epoch(train) [40][180/660] lr: 7.1485e-03 eta: 11:36:25 time: 1.0347 data_time: 0.0226 memory: 22681 loss: 2.1179 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1179 2022/10/30 06:47:11 - mmengine - INFO - Epoch(train) [40][200/660] lr: 7.1442e-03 eta: 11:36:04 time: 1.0274 data_time: 0.0190 memory: 22681 loss: 2.2373 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.2373 2022/10/30 06:47:32 - mmengine - INFO - Epoch(train) [40][220/660] lr: 7.1400e-03 eta: 11:35:42 time: 1.0318 data_time: 0.0182 memory: 22681 loss: 2.3799 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3799 2022/10/30 06:47:52 - mmengine - INFO - Epoch(train) [40][240/660] lr: 7.1357e-03 eta: 11:35:21 time: 1.0269 data_time: 0.0188 memory: 22681 loss: 2.0379 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0379 2022/10/30 06:48:13 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 06:48:13 - mmengine - INFO - Epoch(train) [40][260/660] lr: 7.1315e-03 eta: 11:35:00 time: 1.0400 data_time: 0.0235 memory: 22681 loss: 2.1599 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1599 2022/10/30 06:48:34 - mmengine - INFO - Epoch(train) [40][280/660] lr: 7.1273e-03 eta: 11:34:39 time: 1.0286 data_time: 0.0189 memory: 22681 loss: 2.1948 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1948 2022/10/30 06:48:54 - mmengine - INFO - Epoch(train) [40][300/660] lr: 7.1230e-03 eta: 11:34:18 time: 1.0346 data_time: 0.0181 memory: 22681 loss: 2.0299 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0299 2022/10/30 06:49:15 - mmengine - INFO - Epoch(train) [40][320/660] lr: 7.1188e-03 eta: 11:33:56 time: 1.0237 data_time: 0.0192 memory: 22681 loss: 2.2035 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2035 2022/10/30 06:49:36 - mmengine - INFO - Epoch(train) [40][340/660] lr: 7.1145e-03 eta: 11:33:35 time: 1.0358 data_time: 0.0241 memory: 22681 loss: 2.2276 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2276 2022/10/30 06:49:56 - mmengine - INFO - Epoch(train) [40][360/660] lr: 7.1103e-03 eta: 11:33:14 time: 1.0299 data_time: 0.0192 memory: 22681 loss: 2.1411 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1411 2022/10/30 06:50:17 - mmengine - INFO - Epoch(train) [40][380/660] lr: 7.1060e-03 eta: 11:32:53 time: 1.0318 data_time: 0.0186 memory: 22681 loss: 2.1782 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1782 2022/10/30 06:50:37 - mmengine - INFO - Epoch(train) [40][400/660] lr: 7.1017e-03 eta: 11:32:32 time: 1.0305 data_time: 0.0197 memory: 22681 loss: 1.9394 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9394 2022/10/30 06:50:58 - mmengine - INFO - Epoch(train) [40][420/660] lr: 7.0975e-03 eta: 11:32:11 time: 1.0423 data_time: 0.0241 memory: 22681 loss: 2.0281 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0281 2022/10/30 06:51:19 - mmengine - INFO - Epoch(train) [40][440/660] lr: 7.0932e-03 eta: 11:31:50 time: 1.0299 data_time: 0.0189 memory: 22681 loss: 2.0277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0277 2022/10/30 06:51:40 - mmengine - INFO - Epoch(train) [40][460/660] lr: 7.0890e-03 eta: 11:31:29 time: 1.0356 data_time: 0.0184 memory: 22681 loss: 2.1252 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1252 2022/10/30 06:52:00 - mmengine - INFO - Epoch(train) [40][480/660] lr: 7.0847e-03 eta: 11:31:07 time: 1.0266 data_time: 0.0192 memory: 22681 loss: 2.1576 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1576 2022/10/30 06:52:21 - mmengine - INFO - Epoch(train) [40][500/660] lr: 7.0804e-03 eta: 11:30:46 time: 1.0362 data_time: 0.0229 memory: 22681 loss: 2.2295 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2295 2022/10/30 06:52:41 - mmengine - INFO - Epoch(train) [40][520/660] lr: 7.0762e-03 eta: 11:30:25 time: 1.0302 data_time: 0.0186 memory: 22681 loss: 2.1354 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1354 2022/10/30 06:53:02 - mmengine - INFO - Epoch(train) [40][540/660] lr: 7.0719e-03 eta: 11:30:04 time: 1.0353 data_time: 0.0194 memory: 22681 loss: 2.2724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2724 2022/10/30 06:53:23 - mmengine - INFO - Epoch(train) [40][560/660] lr: 7.0676e-03 eta: 11:29:43 time: 1.0257 data_time: 0.0193 memory: 22681 loss: 2.0934 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0934 2022/10/30 06:53:43 - mmengine - INFO - Epoch(train) [40][580/660] lr: 7.0633e-03 eta: 11:29:22 time: 1.0341 data_time: 0.0233 memory: 22681 loss: 2.1007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1007 2022/10/30 06:54:04 - mmengine - INFO - Epoch(train) [40][600/660] lr: 7.0591e-03 eta: 11:29:00 time: 1.0294 data_time: 0.0187 memory: 22681 loss: 2.0836 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0836 2022/10/30 06:54:25 - mmengine - INFO - Epoch(train) [40][620/660] lr: 7.0548e-03 eta: 11:28:39 time: 1.0312 data_time: 0.0181 memory: 22681 loss: 2.0433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0433 2022/10/30 06:54:45 - mmengine - INFO - Epoch(train) [40][640/660] lr: 7.0505e-03 eta: 11:28:18 time: 1.0226 data_time: 0.0196 memory: 22681 loss: 2.0605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0605 2022/10/30 06:55:05 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 06:55:05 - mmengine - INFO - Epoch(train) [40][660/660] lr: 7.0462e-03 eta: 11:27:56 time: 1.0133 data_time: 0.0205 memory: 22681 loss: 2.1690 top1_acc: 0.6429 top5_acc: 0.9286 loss_cls: 2.1690 2022/10/30 06:55:08 - mmengine - INFO - Epoch(val) [40][20/194] eta: 0:00:23 time: 0.1374 data_time: 0.0345 memory: 2517 2022/10/30 06:55:10 - mmengine - INFO - Epoch(val) [40][40/194] eta: 0:00:16 time: 0.1091 data_time: 0.0080 memory: 2517 2022/10/30 06:55:12 - mmengine - INFO - Epoch(val) [40][60/194] eta: 0:00:14 time: 0.1088 data_time: 0.0076 memory: 2517 2022/10/30 06:55:15 - mmengine - INFO - Epoch(val) [40][80/194] eta: 0:00:12 time: 0.1089 data_time: 0.0078 memory: 2517 2022/10/30 06:55:17 - mmengine - INFO - Epoch(val) [40][100/194] eta: 0:00:10 time: 0.1086 data_time: 0.0078 memory: 2517 2022/10/30 06:55:19 - mmengine - INFO - Epoch(val) [40][120/194] eta: 0:00:08 time: 0.1092 data_time: 0.0079 memory: 2517 2022/10/30 06:55:21 - mmengine - INFO - Epoch(val) [40][140/194] eta: 0:00:05 time: 0.1087 data_time: 0.0078 memory: 2517 2022/10/30 06:55:23 - mmengine - INFO - Epoch(val) [40][160/194] eta: 0:00:03 time: 0.1089 data_time: 0.0082 memory: 2517 2022/10/30 06:55:25 - mmengine - INFO - Epoch(val) [40][180/194] eta: 0:00:01 time: 0.1083 data_time: 0.0076 memory: 2517 2022/10/30 06:55:28 - mmengine - INFO - Epoch(val) [40][194/194] acc/top1: 0.6394 acc/top5: 0.8951 acc/mean1: 0.5701 2022/10/30 06:55:58 - mmengine - INFO - Epoch(train) [41][20/660] lr: 7.0420e-03 eta: 11:27:48 time: 1.4764 data_time: 0.2601 memory: 22681 loss: 2.1301 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1301 2022/10/30 06:56:19 - mmengine - INFO - Epoch(train) [41][40/660] lr: 7.0377e-03 eta: 11:27:27 time: 1.0272 data_time: 0.0218 memory: 22681 loss: 2.1860 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1860 2022/10/30 06:56:39 - mmengine - INFO - Epoch(train) [41][60/660] lr: 7.0334e-03 eta: 11:27:06 time: 1.0344 data_time: 0.0189 memory: 22681 loss: 2.2826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2826 2022/10/30 06:57:00 - mmengine - INFO - Epoch(train) [41][80/660] lr: 7.0291e-03 eta: 11:26:44 time: 1.0282 data_time: 0.0184 memory: 22681 loss: 2.0656 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0656 2022/10/30 06:57:21 - mmengine - INFO - Epoch(train) [41][100/660] lr: 7.0248e-03 eta: 11:26:24 time: 1.0421 data_time: 0.0214 memory: 22681 loss: 2.1553 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.1553 2022/10/30 06:57:41 - mmengine - INFO - Epoch(train) [41][120/660] lr: 7.0205e-03 eta: 11:26:02 time: 1.0352 data_time: 0.0232 memory: 22681 loss: 2.0104 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0104 2022/10/30 06:58:02 - mmengine - INFO - Epoch(train) [41][140/660] lr: 7.0162e-03 eta: 11:25:41 time: 1.0314 data_time: 0.0193 memory: 22681 loss: 2.1941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1941 2022/10/30 06:58:23 - mmengine - INFO - Epoch(train) [41][160/660] lr: 7.0119e-03 eta: 11:25:20 time: 1.0274 data_time: 0.0181 memory: 22681 loss: 2.1331 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1331 2022/10/30 06:58:44 - mmengine - INFO - Epoch(train) [41][180/660] lr: 7.0076e-03 eta: 11:24:59 time: 1.0490 data_time: 0.0198 memory: 22681 loss: 2.1231 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1231 2022/10/30 06:59:04 - mmengine - INFO - Epoch(train) [41][200/660] lr: 7.0033e-03 eta: 11:24:38 time: 1.0399 data_time: 0.0244 memory: 22681 loss: 2.1800 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1800 2022/10/30 06:59:25 - mmengine - INFO - Epoch(train) [41][220/660] lr: 6.9990e-03 eta: 11:24:17 time: 1.0388 data_time: 0.0203 memory: 22681 loss: 2.1468 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1468 2022/10/30 06:59:46 - mmengine - INFO - Epoch(train) [41][240/660] lr: 6.9947e-03 eta: 11:23:56 time: 1.0389 data_time: 0.0221 memory: 22681 loss: 2.1058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1058 2022/10/30 07:00:07 - mmengine - INFO - Epoch(train) [41][260/660] lr: 6.9904e-03 eta: 11:23:36 time: 1.0468 data_time: 0.0206 memory: 22681 loss: 2.2063 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2063 2022/10/30 07:00:28 - mmengine - INFO - Epoch(train) [41][280/660] lr: 6.9861e-03 eta: 11:23:15 time: 1.0393 data_time: 0.0239 memory: 22681 loss: 2.2479 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2479 2022/10/30 07:00:48 - mmengine - INFO - Epoch(train) [41][300/660] lr: 6.9818e-03 eta: 11:22:54 time: 1.0385 data_time: 0.0188 memory: 22681 loss: 2.1692 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1692 2022/10/30 07:01:09 - mmengine - INFO - Epoch(train) [41][320/660] lr: 6.9775e-03 eta: 11:22:33 time: 1.0345 data_time: 0.0191 memory: 22681 loss: 2.0920 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0920 2022/10/30 07:01:30 - mmengine - INFO - Epoch(train) [41][340/660] lr: 6.9732e-03 eta: 11:22:12 time: 1.0451 data_time: 0.0218 memory: 22681 loss: 2.1118 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1118 2022/10/30 07:01:51 - mmengine - INFO - Epoch(train) [41][360/660] lr: 6.9689e-03 eta: 11:21:51 time: 1.0381 data_time: 0.0242 memory: 22681 loss: 2.2825 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2825 2022/10/30 07:02:11 - mmengine - INFO - Epoch(train) [41][380/660] lr: 6.9646e-03 eta: 11:21:30 time: 1.0334 data_time: 0.0182 memory: 22681 loss: 2.2155 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2155 2022/10/30 07:02:32 - mmengine - INFO - Epoch(train) [41][400/660] lr: 6.9603e-03 eta: 11:21:09 time: 1.0327 data_time: 0.0177 memory: 22681 loss: 2.0950 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0950 2022/10/30 07:02:53 - mmengine - INFO - Epoch(train) [41][420/660] lr: 6.9560e-03 eta: 11:20:48 time: 1.0469 data_time: 0.0189 memory: 22681 loss: 2.1189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1189 2022/10/30 07:03:14 - mmengine - INFO - Epoch(train) [41][440/660] lr: 6.9516e-03 eta: 11:20:27 time: 1.0380 data_time: 0.0229 memory: 22681 loss: 2.1273 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1273 2022/10/30 07:03:35 - mmengine - INFO - Epoch(train) [41][460/660] lr: 6.9473e-03 eta: 11:20:06 time: 1.0379 data_time: 0.0179 memory: 22681 loss: 2.1783 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1783 2022/10/30 07:03:55 - mmengine - INFO - Epoch(train) [41][480/660] lr: 6.9430e-03 eta: 11:19:45 time: 1.0333 data_time: 0.0180 memory: 22681 loss: 2.1460 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1460 2022/10/30 07:04:16 - mmengine - INFO - Epoch(train) [41][500/660] lr: 6.9387e-03 eta: 11:19:24 time: 1.0462 data_time: 0.0186 memory: 22681 loss: 2.1118 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1118 2022/10/30 07:04:37 - mmengine - INFO - Epoch(train) [41][520/660] lr: 6.9343e-03 eta: 11:19:03 time: 1.0331 data_time: 0.0236 memory: 22681 loss: 2.2130 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2130 2022/10/30 07:04:57 - mmengine - INFO - Epoch(train) [41][540/660] lr: 6.9300e-03 eta: 11:18:42 time: 1.0305 data_time: 0.0181 memory: 22681 loss: 2.1294 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1294 2022/10/30 07:05:18 - mmengine - INFO - Epoch(train) [41][560/660] lr: 6.9257e-03 eta: 11:18:21 time: 1.0385 data_time: 0.0184 memory: 22681 loss: 2.1852 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1852 2022/10/30 07:05:39 - mmengine - INFO - Epoch(train) [41][580/660] lr: 6.9214e-03 eta: 11:18:00 time: 1.0407 data_time: 0.0191 memory: 22681 loss: 2.1817 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1817 2022/10/30 07:06:00 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 07:06:00 - mmengine - INFO - Epoch(train) [41][600/660] lr: 6.9170e-03 eta: 11:17:39 time: 1.0341 data_time: 0.0229 memory: 22681 loss: 2.1618 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1618 2022/10/30 07:06:20 - mmengine - INFO - Epoch(train) [41][620/660] lr: 6.9127e-03 eta: 11:17:18 time: 1.0337 data_time: 0.0182 memory: 22681 loss: 2.2296 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2296 2022/10/30 07:06:41 - mmengine - INFO - Epoch(train) [41][640/660] lr: 6.9084e-03 eta: 11:16:56 time: 1.0245 data_time: 0.0188 memory: 22681 loss: 2.1235 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1235 2022/10/30 07:07:01 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 07:07:01 - mmengine - INFO - Epoch(train) [41][660/660] lr: 6.9040e-03 eta: 11:16:35 time: 1.0134 data_time: 0.0210 memory: 22681 loss: 2.1676 top1_acc: 0.5714 top5_acc: 0.9286 loss_cls: 2.1676 2022/10/30 07:07:04 - mmengine - INFO - Epoch(val) [41][20/194] eta: 0:00:23 time: 0.1370 data_time: 0.0348 memory: 2517 2022/10/30 07:07:06 - mmengine - INFO - Epoch(val) [41][40/194] eta: 0:00:16 time: 0.1090 data_time: 0.0079 memory: 2517 2022/10/30 07:07:08 - mmengine - INFO - Epoch(val) [41][60/194] eta: 0:00:14 time: 0.1088 data_time: 0.0077 memory: 2517 2022/10/30 07:07:10 - mmengine - INFO - Epoch(val) [41][80/194] eta: 0:00:12 time: 0.1086 data_time: 0.0077 memory: 2517 2022/10/30 07:07:13 - mmengine - INFO - Epoch(val) [41][100/194] eta: 0:00:10 time: 0.1080 data_time: 0.0075 memory: 2517 2022/10/30 07:07:15 - mmengine - INFO - Epoch(val) [41][120/194] eta: 0:00:08 time: 0.1088 data_time: 0.0079 memory: 2517 2022/10/30 07:07:17 - mmengine - INFO - Epoch(val) [41][140/194] eta: 0:00:05 time: 0.1087 data_time: 0.0078 memory: 2517 2022/10/30 07:07:19 - mmengine - INFO - Epoch(val) [41][160/194] eta: 0:00:03 time: 0.1078 data_time: 0.0074 memory: 2517 2022/10/30 07:07:21 - mmengine - INFO - Epoch(val) [41][180/194] eta: 0:00:01 time: 0.1075 data_time: 0.0071 memory: 2517 2022/10/30 07:07:24 - mmengine - INFO - Epoch(val) [41][194/194] acc/top1: 0.6418 acc/top5: 0.8939 acc/mean1: 0.5716 2022/10/30 07:07:54 - mmengine - INFO - Epoch(train) [42][20/660] lr: 6.8997e-03 eta: 11:16:26 time: 1.4556 data_time: 0.2437 memory: 22681 loss: 2.2054 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2054 2022/10/30 07:08:14 - mmengine - INFO - Epoch(train) [42][40/660] lr: 6.8953e-03 eta: 11:16:04 time: 1.0237 data_time: 0.0200 memory: 22681 loss: 2.3070 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3070 2022/10/30 07:08:35 - mmengine - INFO - Epoch(train) [42][60/660] lr: 6.8910e-03 eta: 11:15:43 time: 1.0279 data_time: 0.0198 memory: 22681 loss: 2.1258 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1258 2022/10/30 07:08:55 - mmengine - INFO - Epoch(train) [42][80/660] lr: 6.8867e-03 eta: 11:15:22 time: 1.0246 data_time: 0.0192 memory: 22681 loss: 2.0729 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0729 2022/10/30 07:09:16 - mmengine - INFO - Epoch(train) [42][100/660] lr: 6.8823e-03 eta: 11:15:01 time: 1.0399 data_time: 0.0234 memory: 22681 loss: 2.0251 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0251 2022/10/30 07:09:36 - mmengine - INFO - Epoch(train) [42][120/660] lr: 6.8780e-03 eta: 11:14:39 time: 1.0289 data_time: 0.0188 memory: 22681 loss: 2.1541 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1541 2022/10/30 07:09:57 - mmengine - INFO - Epoch(train) [42][140/660] lr: 6.8736e-03 eta: 11:14:18 time: 1.0315 data_time: 0.0212 memory: 22681 loss: 1.9920 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9920 2022/10/30 07:10:18 - mmengine - INFO - Epoch(train) [42][160/660] lr: 6.8693e-03 eta: 11:13:57 time: 1.0236 data_time: 0.0179 memory: 22681 loss: 2.0419 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0419 2022/10/30 07:10:38 - mmengine - INFO - Epoch(train) [42][180/660] lr: 6.8649e-03 eta: 11:13:36 time: 1.0415 data_time: 0.0242 memory: 22681 loss: 2.0852 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0852 2022/10/30 07:10:59 - mmengine - INFO - Epoch(train) [42][200/660] lr: 6.8606e-03 eta: 11:13:15 time: 1.0286 data_time: 0.0187 memory: 22681 loss: 2.0833 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0833 2022/10/30 07:11:20 - mmengine - INFO - Epoch(train) [42][220/660] lr: 6.8562e-03 eta: 11:12:53 time: 1.0293 data_time: 0.0196 memory: 22681 loss: 2.2320 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2320 2022/10/30 07:11:40 - mmengine - INFO - Epoch(train) [42][240/660] lr: 6.8519e-03 eta: 11:12:32 time: 1.0239 data_time: 0.0192 memory: 22681 loss: 2.1368 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1368 2022/10/30 07:12:01 - mmengine - INFO - Epoch(train) [42][260/660] lr: 6.8475e-03 eta: 11:12:11 time: 1.0384 data_time: 0.0239 memory: 22681 loss: 2.1682 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1682 2022/10/30 07:12:21 - mmengine - INFO - Epoch(train) [42][280/660] lr: 6.8431e-03 eta: 11:11:50 time: 1.0300 data_time: 0.0189 memory: 22681 loss: 2.0083 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0083 2022/10/30 07:12:42 - mmengine - INFO - Epoch(train) [42][300/660] lr: 6.8388e-03 eta: 11:11:29 time: 1.0295 data_time: 0.0197 memory: 22681 loss: 2.1984 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1984 2022/10/30 07:13:03 - mmengine - INFO - Epoch(train) [42][320/660] lr: 6.8344e-03 eta: 11:11:07 time: 1.0279 data_time: 0.0193 memory: 22681 loss: 2.2450 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.2450 2022/10/30 07:13:23 - mmengine - INFO - Epoch(train) [42][340/660] lr: 6.8301e-03 eta: 11:10:46 time: 1.0407 data_time: 0.0245 memory: 22681 loss: 2.1037 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1037 2022/10/30 07:13:44 - mmengine - INFO - Epoch(train) [42][360/660] lr: 6.8257e-03 eta: 11:10:25 time: 1.0355 data_time: 0.0191 memory: 22681 loss: 2.0865 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0865 2022/10/30 07:14:05 - mmengine - INFO - Epoch(train) [42][380/660] lr: 6.8213e-03 eta: 11:10:04 time: 1.0302 data_time: 0.0194 memory: 22681 loss: 2.2161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2161 2022/10/30 07:14:25 - mmengine - INFO - Epoch(train) [42][400/660] lr: 6.8170e-03 eta: 11:09:43 time: 1.0276 data_time: 0.0186 memory: 22681 loss: 2.1574 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1574 2022/10/30 07:14:46 - mmengine - INFO - Epoch(train) [42][420/660] lr: 6.8126e-03 eta: 11:09:22 time: 1.0467 data_time: 0.0275 memory: 22681 loss: 2.0319 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0319 2022/10/30 07:15:07 - mmengine - INFO - Epoch(train) [42][440/660] lr: 6.8082e-03 eta: 11:09:01 time: 1.0412 data_time: 0.0185 memory: 22681 loss: 2.1447 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1447 2022/10/30 07:15:28 - mmengine - INFO - Epoch(train) [42][460/660] lr: 6.8038e-03 eta: 11:08:40 time: 1.0317 data_time: 0.0215 memory: 22681 loss: 2.1156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1156 2022/10/30 07:15:48 - mmengine - INFO - Epoch(train) [42][480/660] lr: 6.7995e-03 eta: 11:08:19 time: 1.0303 data_time: 0.0195 memory: 22681 loss: 2.0965 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0965 2022/10/30 07:16:09 - mmengine - INFO - Epoch(train) [42][500/660] lr: 6.7951e-03 eta: 11:07:58 time: 1.0478 data_time: 0.0244 memory: 22681 loss: 2.2219 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.2219 2022/10/30 07:16:30 - mmengine - INFO - Epoch(train) [42][520/660] lr: 6.7907e-03 eta: 11:07:37 time: 1.0369 data_time: 0.0195 memory: 22681 loss: 2.1443 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1443 2022/10/30 07:16:51 - mmengine - INFO - Epoch(train) [42][540/660] lr: 6.7863e-03 eta: 11:07:16 time: 1.0308 data_time: 0.0199 memory: 22681 loss: 2.2184 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.2184 2022/10/30 07:17:11 - mmengine - INFO - Epoch(train) [42][560/660] lr: 6.7820e-03 eta: 11:06:55 time: 1.0269 data_time: 0.0186 memory: 22681 loss: 2.0623 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0623 2022/10/30 07:17:32 - mmengine - INFO - Epoch(train) [42][580/660] lr: 6.7776e-03 eta: 11:06:34 time: 1.0422 data_time: 0.0237 memory: 22681 loss: 2.0161 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0161 2022/10/30 07:17:53 - mmengine - INFO - Epoch(train) [42][600/660] lr: 6.7732e-03 eta: 11:06:13 time: 1.0428 data_time: 0.0185 memory: 22681 loss: 2.0687 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0687 2022/10/30 07:18:13 - mmengine - INFO - Epoch(train) [42][620/660] lr: 6.7688e-03 eta: 11:05:52 time: 1.0306 data_time: 0.0196 memory: 22681 loss: 1.9881 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9881 2022/10/30 07:18:34 - mmengine - INFO - Epoch(train) [42][640/660] lr: 6.7644e-03 eta: 11:05:31 time: 1.0252 data_time: 0.0190 memory: 22681 loss: 2.1889 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1889 2022/10/30 07:18:54 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 07:18:54 - mmengine - INFO - Epoch(train) [42][660/660] lr: 6.7600e-03 eta: 11:05:09 time: 1.0178 data_time: 0.0204 memory: 22681 loss: 2.1289 top1_acc: 0.3571 top5_acc: 0.7143 loss_cls: 2.1289 2022/10/30 07:18:54 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/10/30 07:18:58 - mmengine - INFO - Epoch(val) [42][20/194] eta: 0:00:22 time: 0.1270 data_time: 0.0260 memory: 2517 2022/10/30 07:19:00 - mmengine - INFO - Epoch(val) [42][40/194] eta: 0:00:16 time: 0.1085 data_time: 0.0079 memory: 2517 2022/10/30 07:19:02 - mmengine - INFO - Epoch(val) [42][60/194] eta: 0:00:14 time: 0.1091 data_time: 0.0082 memory: 2517 2022/10/30 07:19:05 - mmengine - INFO - Epoch(val) [42][80/194] eta: 0:00:12 time: 0.1084 data_time: 0.0076 memory: 2517 2022/10/30 07:19:07 - mmengine - INFO - Epoch(val) [42][100/194] eta: 0:00:10 time: 0.1081 data_time: 0.0075 memory: 2517 2022/10/30 07:19:09 - mmengine - INFO - Epoch(val) [42][120/194] eta: 0:00:07 time: 0.1079 data_time: 0.0075 memory: 2517 2022/10/30 07:19:11 - mmengine - INFO - Epoch(val) [42][140/194] eta: 0:00:05 time: 0.1077 data_time: 0.0074 memory: 2517 2022/10/30 07:19:13 - mmengine - INFO - Epoch(val) [42][160/194] eta: 0:00:03 time: 0.1088 data_time: 0.0079 memory: 2517 2022/10/30 07:19:15 - mmengine - INFO - Epoch(val) [42][180/194] eta: 0:00:01 time: 0.1080 data_time: 0.0076 memory: 2517 2022/10/30 07:19:18 - mmengine - INFO - Epoch(val) [42][194/194] acc/top1: 0.6454 acc/top5: 0.8962 acc/mean1: 0.5739 2022/10/30 07:19:18 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_37.pth is removed 2022/10/30 07:19:19 - mmengine - INFO - The best checkpoint with 0.6454 acc/top1 at 42 epoch is saved to best_acc/top1_epoch_42.pth. 2022/10/30 07:19:47 - mmengine - INFO - Epoch(train) [43][20/660] lr: 6.7556e-03 eta: 11:04:57 time: 1.3767 data_time: 0.2691 memory: 22681 loss: 2.0484 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.0484 2022/10/30 07:20:07 - mmengine - INFO - Epoch(train) [43][40/660] lr: 6.7513e-03 eta: 11:04:36 time: 1.0182 data_time: 0.0196 memory: 22681 loss: 2.0024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0024 2022/10/30 07:20:28 - mmengine - INFO - Epoch(train) [43][60/660] lr: 6.7469e-03 eta: 11:04:14 time: 1.0212 data_time: 0.0198 memory: 22681 loss: 2.1036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1036 2022/10/30 07:20:48 - mmengine - INFO - Epoch(train) [43][80/660] lr: 6.7425e-03 eta: 11:03:53 time: 1.0227 data_time: 0.0191 memory: 22681 loss: 2.2042 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 2.2042 2022/10/30 07:21:09 - mmengine - INFO - Epoch(train) [43][100/660] lr: 6.7381e-03 eta: 11:03:32 time: 1.0351 data_time: 0.0243 memory: 22681 loss: 2.1285 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1285 2022/10/30 07:21:29 - mmengine - INFO - Epoch(train) [43][120/660] lr: 6.7337e-03 eta: 11:03:11 time: 1.0238 data_time: 0.0182 memory: 22681 loss: 2.0687 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0687 2022/10/30 07:21:50 - mmengine - INFO - Epoch(train) [43][140/660] lr: 6.7293e-03 eta: 11:02:49 time: 1.0227 data_time: 0.0186 memory: 22681 loss: 2.0919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0919 2022/10/30 07:22:10 - mmengine - INFO - Epoch(train) [43][160/660] lr: 6.7249e-03 eta: 11:02:28 time: 1.0288 data_time: 0.0183 memory: 22681 loss: 2.1263 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1263 2022/10/30 07:22:31 - mmengine - INFO - Epoch(train) [43][180/660] lr: 6.7205e-03 eta: 11:02:07 time: 1.0364 data_time: 0.0244 memory: 22681 loss: 2.2620 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2620 2022/10/30 07:22:52 - mmengine - INFO - Epoch(train) [43][200/660] lr: 6.7161e-03 eta: 11:01:45 time: 1.0237 data_time: 0.0184 memory: 22681 loss: 2.1123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1123 2022/10/30 07:23:12 - mmengine - INFO - Epoch(train) [43][220/660] lr: 6.7117e-03 eta: 11:01:24 time: 1.0214 data_time: 0.0186 memory: 22681 loss: 2.1719 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1719 2022/10/30 07:23:32 - mmengine - INFO - Epoch(train) [43][240/660] lr: 6.7073e-03 eta: 11:01:03 time: 1.0222 data_time: 0.0194 memory: 22681 loss: 2.0544 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0544 2022/10/30 07:23:53 - mmengine - INFO - Epoch(train) [43][260/660] lr: 6.7029e-03 eta: 11:00:42 time: 1.0327 data_time: 0.0247 memory: 22681 loss: 2.2036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2036 2022/10/30 07:24:14 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 07:24:14 - mmengine - INFO - Epoch(train) [43][280/660] lr: 6.6984e-03 eta: 11:00:20 time: 1.0254 data_time: 0.0184 memory: 22681 loss: 2.1343 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1343 2022/10/30 07:24:34 - mmengine - INFO - Epoch(train) [43][300/660] lr: 6.6940e-03 eta: 10:59:59 time: 1.0210 data_time: 0.0195 memory: 22681 loss: 2.1428 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1428 2022/10/30 07:24:54 - mmengine - INFO - Epoch(train) [43][320/660] lr: 6.6896e-03 eta: 10:59:37 time: 1.0219 data_time: 0.0188 memory: 22681 loss: 2.1448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1448 2022/10/30 07:25:15 - mmengine - INFO - Epoch(train) [43][340/660] lr: 6.6852e-03 eta: 10:59:16 time: 1.0372 data_time: 0.0246 memory: 22681 loss: 2.0100 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0100 2022/10/30 07:25:36 - mmengine - INFO - Epoch(train) [43][360/660] lr: 6.6808e-03 eta: 10:58:55 time: 1.0278 data_time: 0.0184 memory: 22681 loss: 2.1752 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1752 2022/10/30 07:25:56 - mmengine - INFO - Epoch(train) [43][380/660] lr: 6.6764e-03 eta: 10:58:34 time: 1.0239 data_time: 0.0188 memory: 22681 loss: 2.0692 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.0692 2022/10/30 07:26:17 - mmengine - INFO - Epoch(train) [43][400/660] lr: 6.6720e-03 eta: 10:58:12 time: 1.0229 data_time: 0.0189 memory: 22681 loss: 2.2133 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2133 2022/10/30 07:26:38 - mmengine - INFO - Epoch(train) [43][420/660] lr: 6.6675e-03 eta: 10:57:51 time: 1.0403 data_time: 0.0249 memory: 22681 loss: 2.0915 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0915 2022/10/30 07:26:58 - mmengine - INFO - Epoch(train) [43][440/660] lr: 6.6631e-03 eta: 10:57:30 time: 1.0271 data_time: 0.0187 memory: 22681 loss: 2.1565 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1565 2022/10/30 07:27:19 - mmengine - INFO - Epoch(train) [43][460/660] lr: 6.6587e-03 eta: 10:57:09 time: 1.0253 data_time: 0.0188 memory: 22681 loss: 2.0919 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0919 2022/10/30 07:27:39 - mmengine - INFO - Epoch(train) [43][480/660] lr: 6.6543e-03 eta: 10:56:47 time: 1.0227 data_time: 0.0190 memory: 22681 loss: 2.1343 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.1343 2022/10/30 07:28:00 - mmengine - INFO - Epoch(train) [43][500/660] lr: 6.6499e-03 eta: 10:56:26 time: 1.0354 data_time: 0.0258 memory: 22681 loss: 1.9946 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9946 2022/10/30 07:28:20 - mmengine - INFO - Epoch(train) [43][520/660] lr: 6.6454e-03 eta: 10:56:05 time: 1.0297 data_time: 0.0187 memory: 22681 loss: 2.0379 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0379 2022/10/30 07:28:41 - mmengine - INFO - Epoch(train) [43][540/660] lr: 6.6410e-03 eta: 10:55:44 time: 1.0219 data_time: 0.0193 memory: 22681 loss: 2.1912 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1912 2022/10/30 07:29:01 - mmengine - INFO - Epoch(train) [43][560/660] lr: 6.6366e-03 eta: 10:55:22 time: 1.0227 data_time: 0.0186 memory: 22681 loss: 2.0763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0763 2022/10/30 07:29:22 - mmengine - INFO - Epoch(train) [43][580/660] lr: 6.6321e-03 eta: 10:55:01 time: 1.0389 data_time: 0.0251 memory: 22681 loss: 2.1456 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 2.1456 2022/10/30 07:29:42 - mmengine - INFO - Epoch(train) [43][600/660] lr: 6.6277e-03 eta: 10:54:40 time: 1.0246 data_time: 0.0189 memory: 22681 loss: 2.1843 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1843 2022/10/30 07:30:03 - mmengine - INFO - Epoch(train) [43][620/660] lr: 6.6233e-03 eta: 10:54:19 time: 1.0239 data_time: 0.0189 memory: 22681 loss: 2.2045 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2045 2022/10/30 07:30:23 - mmengine - INFO - Epoch(train) [43][640/660] lr: 6.6188e-03 eta: 10:53:57 time: 1.0224 data_time: 0.0199 memory: 22681 loss: 2.2113 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2113 2022/10/30 07:30:44 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 07:30:44 - mmengine - INFO - Epoch(train) [43][660/660] lr: 6.6144e-03 eta: 10:53:36 time: 1.0115 data_time: 0.0211 memory: 22681 loss: 2.0598 top1_acc: 0.4286 top5_acc: 0.6429 loss_cls: 2.0598 2022/10/30 07:30:46 - mmengine - INFO - Epoch(val) [43][20/194] eta: 0:00:23 time: 0.1341 data_time: 0.0324 memory: 2517 2022/10/30 07:30:49 - mmengine - INFO - Epoch(val) [43][40/194] eta: 0:00:16 time: 0.1095 data_time: 0.0081 memory: 2517 2022/10/30 07:30:51 - mmengine - INFO - Epoch(val) [43][60/194] eta: 0:00:14 time: 0.1098 data_time: 0.0083 memory: 2517 2022/10/30 07:30:53 - mmengine - INFO - Epoch(val) [43][80/194] eta: 0:00:12 time: 0.1099 data_time: 0.0082 memory: 2517 2022/10/30 07:30:55 - mmengine - INFO - Epoch(val) [43][100/194] eta: 0:00:10 time: 0.1093 data_time: 0.0079 memory: 2517 2022/10/30 07:30:57 - mmengine - INFO - Epoch(val) [43][120/194] eta: 0:00:08 time: 0.1090 data_time: 0.0076 memory: 2517 2022/10/30 07:30:59 - mmengine - INFO - Epoch(val) [43][140/194] eta: 0:00:05 time: 0.1094 data_time: 0.0082 memory: 2517 2022/10/30 07:31:02 - mmengine - INFO - Epoch(val) [43][160/194] eta: 0:00:03 time: 0.1081 data_time: 0.0076 memory: 2517 2022/10/30 07:31:04 - mmengine - INFO - Epoch(val) [43][180/194] eta: 0:00:01 time: 0.1104 data_time: 0.0084 memory: 2517 2022/10/30 07:31:07 - mmengine - INFO - Epoch(val) [43][194/194] acc/top1: 0.6454 acc/top5: 0.8992 acc/mean1: 0.5733 2022/10/30 07:31:36 - mmengine - INFO - Epoch(train) [44][20/660] lr: 6.6100e-03 eta: 10:53:26 time: 1.4612 data_time: 0.2452 memory: 22681 loss: 2.0469 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0469 2022/10/30 07:31:57 - mmengine - INFO - Epoch(train) [44][40/660] lr: 6.6055e-03 eta: 10:53:05 time: 1.0265 data_time: 0.0186 memory: 22681 loss: 2.3128 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3128 2022/10/30 07:32:17 - mmengine - INFO - Epoch(train) [44][60/660] lr: 6.6011e-03 eta: 10:52:43 time: 1.0203 data_time: 0.0193 memory: 22681 loss: 2.0952 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0952 2022/10/30 07:32:37 - mmengine - INFO - Epoch(train) [44][80/660] lr: 6.5966e-03 eta: 10:52:22 time: 1.0215 data_time: 0.0201 memory: 22681 loss: 2.0793 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0793 2022/10/30 07:32:58 - mmengine - INFO - Epoch(train) [44][100/660] lr: 6.5922e-03 eta: 10:52:01 time: 1.0391 data_time: 0.0276 memory: 22681 loss: 1.9043 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9043 2022/10/30 07:33:19 - mmengine - INFO - Epoch(train) [44][120/660] lr: 6.5878e-03 eta: 10:51:40 time: 1.0272 data_time: 0.0192 memory: 22681 loss: 2.1553 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1553 2022/10/30 07:33:39 - mmengine - INFO - Epoch(train) [44][140/660] lr: 6.5833e-03 eta: 10:51:18 time: 1.0278 data_time: 0.0201 memory: 22681 loss: 2.1166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1166 2022/10/30 07:34:00 - mmengine - INFO - Epoch(train) [44][160/660] lr: 6.5789e-03 eta: 10:50:57 time: 1.0245 data_time: 0.0207 memory: 22681 loss: 1.9959 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9959 2022/10/30 07:34:21 - mmengine - INFO - Epoch(train) [44][180/660] lr: 6.5744e-03 eta: 10:50:36 time: 1.0388 data_time: 0.0247 memory: 22681 loss: 2.1715 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1715 2022/10/30 07:34:41 - mmengine - INFO - Epoch(train) [44][200/660] lr: 6.5700e-03 eta: 10:50:15 time: 1.0299 data_time: 0.0190 memory: 22681 loss: 2.1438 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.1438 2022/10/30 07:35:02 - mmengine - INFO - Epoch(train) [44][220/660] lr: 6.5655e-03 eta: 10:49:54 time: 1.0240 data_time: 0.0189 memory: 22681 loss: 2.2486 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2486 2022/10/30 07:35:22 - mmengine - INFO - Epoch(train) [44][240/660] lr: 6.5611e-03 eta: 10:49:32 time: 1.0248 data_time: 0.0192 memory: 22681 loss: 2.0468 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0468 2022/10/30 07:35:43 - mmengine - INFO - Epoch(train) [44][260/660] lr: 6.5566e-03 eta: 10:49:11 time: 1.0402 data_time: 0.0225 memory: 22681 loss: 1.9582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9582 2022/10/30 07:36:04 - mmengine - INFO - Epoch(train) [44][280/660] lr: 6.5522e-03 eta: 10:48:50 time: 1.0310 data_time: 0.0180 memory: 22681 loss: 2.2056 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2056 2022/10/30 07:36:24 - mmengine - INFO - Epoch(train) [44][300/660] lr: 6.5477e-03 eta: 10:48:29 time: 1.0250 data_time: 0.0187 memory: 22681 loss: 2.0656 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0656 2022/10/30 07:36:45 - mmengine - INFO - Epoch(train) [44][320/660] lr: 6.5432e-03 eta: 10:48:08 time: 1.0266 data_time: 0.0188 memory: 22681 loss: 2.2389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2389 2022/10/30 07:37:05 - mmengine - INFO - Epoch(train) [44][340/660] lr: 6.5388e-03 eta: 10:47:47 time: 1.0422 data_time: 0.0222 memory: 22681 loss: 2.0247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0247 2022/10/30 07:37:26 - mmengine - INFO - Epoch(train) [44][360/660] lr: 6.5343e-03 eta: 10:47:26 time: 1.0334 data_time: 0.0182 memory: 22681 loss: 2.1265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1265 2022/10/30 07:37:47 - mmengine - INFO - Epoch(train) [44][380/660] lr: 6.5299e-03 eta: 10:47:04 time: 1.0267 data_time: 0.0195 memory: 22681 loss: 1.9718 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9718 2022/10/30 07:38:07 - mmengine - INFO - Epoch(train) [44][400/660] lr: 6.5254e-03 eta: 10:46:43 time: 1.0246 data_time: 0.0180 memory: 22681 loss: 2.0964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0964 2022/10/30 07:38:28 - mmengine - INFO - Epoch(train) [44][420/660] lr: 6.5209e-03 eta: 10:46:22 time: 1.0374 data_time: 0.0223 memory: 22681 loss: 2.1388 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1388 2022/10/30 07:38:49 - mmengine - INFO - Epoch(train) [44][440/660] lr: 6.5165e-03 eta: 10:46:01 time: 1.0381 data_time: 0.0177 memory: 22681 loss: 2.0467 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0467 2022/10/30 07:39:09 - mmengine - INFO - Epoch(train) [44][460/660] lr: 6.5120e-03 eta: 10:45:40 time: 1.0239 data_time: 0.0192 memory: 22681 loss: 2.0261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0261 2022/10/30 07:39:30 - mmengine - INFO - Epoch(train) [44][480/660] lr: 6.5075e-03 eta: 10:45:19 time: 1.0246 data_time: 0.0190 memory: 22681 loss: 2.2058 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2058 2022/10/30 07:39:50 - mmengine - INFO - Epoch(train) [44][500/660] lr: 6.5031e-03 eta: 10:44:58 time: 1.0418 data_time: 0.0257 memory: 22681 loss: 2.2683 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.2683 2022/10/30 07:40:11 - mmengine - INFO - Epoch(train) [44][520/660] lr: 6.4986e-03 eta: 10:44:37 time: 1.0346 data_time: 0.0185 memory: 22681 loss: 2.1409 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1409 2022/10/30 07:40:32 - mmengine - INFO - Epoch(train) [44][540/660] lr: 6.4941e-03 eta: 10:44:15 time: 1.0244 data_time: 0.0210 memory: 22681 loss: 2.1048 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1048 2022/10/30 07:40:52 - mmengine - INFO - Epoch(train) [44][560/660] lr: 6.4897e-03 eta: 10:43:54 time: 1.0232 data_time: 0.0194 memory: 22681 loss: 2.1207 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1207 2022/10/30 07:41:13 - mmengine - INFO - Epoch(train) [44][580/660] lr: 6.4852e-03 eta: 10:43:33 time: 1.0396 data_time: 0.0236 memory: 22681 loss: 2.0813 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0813 2022/10/30 07:41:34 - mmengine - INFO - Epoch(train) [44][600/660] lr: 6.4807e-03 eta: 10:43:12 time: 1.0340 data_time: 0.0195 memory: 22681 loss: 2.1187 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1187 2022/10/30 07:41:54 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 07:41:54 - mmengine - INFO - Epoch(train) [44][620/660] lr: 6.4762e-03 eta: 10:42:51 time: 1.0309 data_time: 0.0203 memory: 22681 loss: 2.2163 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2163 2022/10/30 07:42:15 - mmengine - INFO - Epoch(train) [44][640/660] lr: 6.4718e-03 eta: 10:42:29 time: 1.0217 data_time: 0.0195 memory: 22681 loss: 1.9874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9874 2022/10/30 07:42:35 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 07:42:35 - mmengine - INFO - Epoch(train) [44][660/660] lr: 6.4673e-03 eta: 10:42:08 time: 1.0187 data_time: 0.0216 memory: 22681 loss: 2.1933 top1_acc: 0.6429 top5_acc: 0.7857 loss_cls: 2.1933 2022/10/30 07:42:38 - mmengine - INFO - Epoch(val) [44][20/194] eta: 0:00:23 time: 0.1339 data_time: 0.0322 memory: 2517 2022/10/30 07:42:40 - mmengine - INFO - Epoch(val) [44][40/194] eta: 0:00:16 time: 0.1084 data_time: 0.0072 memory: 2517 2022/10/30 07:42:42 - mmengine - INFO - Epoch(val) [44][60/194] eta: 0:00:14 time: 0.1083 data_time: 0.0075 memory: 2517 2022/10/30 07:42:44 - mmengine - INFO - Epoch(val) [44][80/194] eta: 0:00:12 time: 0.1085 data_time: 0.0075 memory: 2517 2022/10/30 07:42:46 - mmengine - INFO - Epoch(val) [44][100/194] eta: 0:00:10 time: 0.1089 data_time: 0.0078 memory: 2517 2022/10/30 07:42:49 - mmengine - INFO - Epoch(val) [44][120/194] eta: 0:00:08 time: 0.1090 data_time: 0.0078 memory: 2517 2022/10/30 07:42:51 - mmengine - INFO - Epoch(val) [44][140/194] eta: 0:00:05 time: 0.1079 data_time: 0.0073 memory: 2517 2022/10/30 07:42:53 - mmengine - INFO - Epoch(val) [44][160/194] eta: 0:00:03 time: 0.1076 data_time: 0.0073 memory: 2517 2022/10/30 07:42:55 - mmengine - INFO - Epoch(val) [44][180/194] eta: 0:00:01 time: 0.1082 data_time: 0.0079 memory: 2517 2022/10/30 07:42:58 - mmengine - INFO - Epoch(val) [44][194/194] acc/top1: 0.6479 acc/top5: 0.8996 acc/mean1: 0.5761 2022/10/30 07:42:58 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_42.pth is removed 2022/10/30 07:43:00 - mmengine - INFO - The best checkpoint with 0.6479 acc/top1 at 44 epoch is saved to best_acc/top1_epoch_44.pth. 2022/10/30 07:43:27 - mmengine - INFO - Epoch(train) [45][20/660] lr: 6.4628e-03 eta: 10:41:55 time: 1.3669 data_time: 0.2367 memory: 22681 loss: 2.1180 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1180 2022/10/30 07:43:48 - mmengine - INFO - Epoch(train) [45][40/660] lr: 6.4583e-03 eta: 10:41:34 time: 1.0227 data_time: 0.0210 memory: 22681 loss: 2.0788 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0788 2022/10/30 07:44:08 - mmengine - INFO - Epoch(train) [45][60/660] lr: 6.4538e-03 eta: 10:41:13 time: 1.0268 data_time: 0.0182 memory: 22681 loss: 2.2025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2025 2022/10/30 07:44:29 - mmengine - INFO - Epoch(train) [45][80/660] lr: 6.4494e-03 eta: 10:40:51 time: 1.0182 data_time: 0.0195 memory: 22681 loss: 2.1074 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1074 2022/10/30 07:44:49 - mmengine - INFO - Epoch(train) [45][100/660] lr: 6.4449e-03 eta: 10:40:30 time: 1.0304 data_time: 0.0202 memory: 22681 loss: 2.1631 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1631 2022/10/30 07:45:10 - mmengine - INFO - Epoch(train) [45][120/660] lr: 6.4404e-03 eta: 10:40:09 time: 1.0210 data_time: 0.0210 memory: 22681 loss: 2.1220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1220 2022/10/30 07:45:30 - mmengine - INFO - Epoch(train) [45][140/660] lr: 6.4359e-03 eta: 10:39:47 time: 1.0242 data_time: 0.0197 memory: 22681 loss: 2.1663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1663 2022/10/30 07:45:51 - mmengine - INFO - Epoch(train) [45][160/660] lr: 6.4314e-03 eta: 10:39:26 time: 1.0194 data_time: 0.0187 memory: 22681 loss: 2.0606 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0606 2022/10/30 07:46:11 - mmengine - INFO - Epoch(train) [45][180/660] lr: 6.4269e-03 eta: 10:39:05 time: 1.0284 data_time: 0.0206 memory: 22681 loss: 2.1456 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1456 2022/10/30 07:46:32 - mmengine - INFO - Epoch(train) [45][200/660] lr: 6.4224e-03 eta: 10:38:44 time: 1.0308 data_time: 0.0212 memory: 22681 loss: 2.1143 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1143 2022/10/30 07:46:52 - mmengine - INFO - Epoch(train) [45][220/660] lr: 6.4179e-03 eta: 10:38:22 time: 1.0222 data_time: 0.0195 memory: 22681 loss: 1.9893 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9893 2022/10/30 07:47:13 - mmengine - INFO - Epoch(train) [45][240/660] lr: 6.4134e-03 eta: 10:38:01 time: 1.0191 data_time: 0.0189 memory: 22681 loss: 2.0402 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0402 2022/10/30 07:47:33 - mmengine - INFO - Epoch(train) [45][260/660] lr: 6.4089e-03 eta: 10:37:40 time: 1.0359 data_time: 0.0211 memory: 22681 loss: 2.1670 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1670 2022/10/30 07:47:54 - mmengine - INFO - Epoch(train) [45][280/660] lr: 6.4044e-03 eta: 10:37:19 time: 1.0265 data_time: 0.0220 memory: 22681 loss: 2.0975 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0975 2022/10/30 07:48:14 - mmengine - INFO - Epoch(train) [45][300/660] lr: 6.4000e-03 eta: 10:36:57 time: 1.0220 data_time: 0.0200 memory: 22681 loss: 2.1195 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1195 2022/10/30 07:48:35 - mmengine - INFO - Epoch(train) [45][320/660] lr: 6.3955e-03 eta: 10:36:36 time: 1.0251 data_time: 0.0198 memory: 22681 loss: 2.0701 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0701 2022/10/30 07:48:56 - mmengine - INFO - Epoch(train) [45][340/660] lr: 6.3910e-03 eta: 10:36:15 time: 1.0323 data_time: 0.0208 memory: 22681 loss: 2.0820 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0820 2022/10/30 07:49:16 - mmengine - INFO - Epoch(train) [45][360/660] lr: 6.3865e-03 eta: 10:35:54 time: 1.0302 data_time: 0.0230 memory: 22681 loss: 2.0872 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0872 2022/10/30 07:49:37 - mmengine - INFO - Epoch(train) [45][380/660] lr: 6.3820e-03 eta: 10:35:32 time: 1.0232 data_time: 0.0197 memory: 22681 loss: 2.0580 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0580 2022/10/30 07:49:57 - mmengine - INFO - Epoch(train) [45][400/660] lr: 6.3774e-03 eta: 10:35:11 time: 1.0228 data_time: 0.0197 memory: 22681 loss: 2.1619 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1619 2022/10/30 07:50:18 - mmengine - INFO - Epoch(train) [45][420/660] lr: 6.3729e-03 eta: 10:34:50 time: 1.0367 data_time: 0.0224 memory: 22681 loss: 2.0306 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0306 2022/10/30 07:50:39 - mmengine - INFO - Epoch(train) [45][440/660] lr: 6.3684e-03 eta: 10:34:29 time: 1.0393 data_time: 0.0235 memory: 22681 loss: 2.0048 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0048 2022/10/30 07:50:59 - mmengine - INFO - Epoch(train) [45][460/660] lr: 6.3639e-03 eta: 10:34:08 time: 1.0281 data_time: 0.0197 memory: 22681 loss: 2.2150 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2150 2022/10/30 07:51:20 - mmengine - INFO - Epoch(train) [45][480/660] lr: 6.3594e-03 eta: 10:33:47 time: 1.0313 data_time: 0.0186 memory: 22681 loss: 2.0091 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0091 2022/10/30 07:51:41 - mmengine - INFO - Epoch(train) [45][500/660] lr: 6.3549e-03 eta: 10:33:26 time: 1.0497 data_time: 0.0208 memory: 22681 loss: 2.2105 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2105 2022/10/30 07:52:02 - mmengine - INFO - Epoch(train) [45][520/660] lr: 6.3504e-03 eta: 10:33:05 time: 1.0381 data_time: 0.0213 memory: 22681 loss: 2.0453 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0453 2022/10/30 07:52:22 - mmengine - INFO - Epoch(train) [45][540/660] lr: 6.3459e-03 eta: 10:32:44 time: 1.0343 data_time: 0.0197 memory: 22681 loss: 2.0203 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0203 2022/10/30 07:52:43 - mmengine - INFO - Epoch(train) [45][560/660] lr: 6.3414e-03 eta: 10:32:23 time: 1.0330 data_time: 0.0195 memory: 22681 loss: 2.0357 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0357 2022/10/30 07:53:04 - mmengine - INFO - Epoch(train) [45][580/660] lr: 6.3369e-03 eta: 10:32:02 time: 1.0410 data_time: 0.0217 memory: 22681 loss: 2.0637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0637 2022/10/30 07:53:24 - mmengine - INFO - Epoch(train) [45][600/660] lr: 6.3324e-03 eta: 10:31:41 time: 1.0375 data_time: 0.0226 memory: 22681 loss: 1.9763 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9763 2022/10/30 07:53:45 - mmengine - INFO - Epoch(train) [45][620/660] lr: 6.3278e-03 eta: 10:31:20 time: 1.0372 data_time: 0.0196 memory: 22681 loss: 2.0882 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0882 2022/10/30 07:54:06 - mmengine - INFO - Epoch(train) [45][640/660] lr: 6.3233e-03 eta: 10:30:59 time: 1.0278 data_time: 0.0201 memory: 22681 loss: 2.0557 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0557 2022/10/30 07:54:26 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 07:54:26 - mmengine - INFO - Epoch(train) [45][660/660] lr: 6.3188e-03 eta: 10:30:37 time: 1.0159 data_time: 0.0218 memory: 22681 loss: 2.0868 top1_acc: 0.4286 top5_acc: 0.7857 loss_cls: 2.0868 2022/10/30 07:54:26 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/10/30 07:54:30 - mmengine - INFO - Epoch(val) [45][20/194] eta: 0:00:22 time: 0.1270 data_time: 0.0259 memory: 2517 2022/10/30 07:54:32 - mmengine - INFO - Epoch(val) [45][40/194] eta: 0:00:16 time: 0.1091 data_time: 0.0076 memory: 2517 2022/10/30 07:54:34 - mmengine - INFO - Epoch(val) [45][60/194] eta: 0:00:14 time: 0.1088 data_time: 0.0079 memory: 2517 2022/10/30 07:54:36 - mmengine - INFO - Epoch(val) [45][80/194] eta: 0:00:12 time: 0.1079 data_time: 0.0074 memory: 2517 2022/10/30 07:54:39 - mmengine - INFO - Epoch(val) [45][100/194] eta: 0:00:10 time: 0.1077 data_time: 0.0071 memory: 2517 2022/10/30 07:54:41 - mmengine - INFO - Epoch(val) [45][120/194] eta: 0:00:07 time: 0.1077 data_time: 0.0072 memory: 2517 2022/10/30 07:54:43 - mmengine - INFO - Epoch(val) [45][140/194] eta: 0:00:05 time: 0.1078 data_time: 0.0072 memory: 2517 2022/10/30 07:54:45 - mmengine - INFO - Epoch(val) [45][160/194] eta: 0:00:03 time: 0.1080 data_time: 0.0074 memory: 2517 2022/10/30 07:54:47 - mmengine - INFO - Epoch(val) [45][180/194] eta: 0:00:01 time: 0.1078 data_time: 0.0072 memory: 2517 2022/10/30 07:54:49 - mmengine - INFO - Epoch(val) [45][194/194] acc/top1: 0.6493 acc/top5: 0.8981 acc/mean1: 0.5745 2022/10/30 07:54:49 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_44.pth is removed 2022/10/30 07:54:51 - mmengine - INFO - The best checkpoint with 0.6493 acc/top1 at 45 epoch is saved to best_acc/top1_epoch_45.pth. 2022/10/30 07:55:19 - mmengine - INFO - Epoch(train) [46][20/660] lr: 6.3143e-03 eta: 10:30:25 time: 1.3682 data_time: 0.2007 memory: 22681 loss: 2.0972 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0972 2022/10/30 07:55:39 - mmengine - INFO - Epoch(train) [46][40/660] lr: 6.3098e-03 eta: 10:30:03 time: 1.0220 data_time: 0.0191 memory: 22681 loss: 2.0977 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0977 2022/10/30 07:55:59 - mmengine - INFO - Epoch(train) [46][60/660] lr: 6.3052e-03 eta: 10:29:42 time: 1.0221 data_time: 0.0190 memory: 22681 loss: 2.0990 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0990 2022/10/30 07:56:20 - mmengine - INFO - Epoch(train) [46][80/660] lr: 6.3007e-03 eta: 10:29:21 time: 1.0233 data_time: 0.0205 memory: 22681 loss: 1.9853 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9853 2022/10/30 07:56:41 - mmengine - INFO - Epoch(train) [46][100/660] lr: 6.2962e-03 eta: 10:29:00 time: 1.0350 data_time: 0.0209 memory: 22681 loss: 2.1520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1520 2022/10/30 07:57:01 - mmengine - INFO - Epoch(train) [46][120/660] lr: 6.2917e-03 eta: 10:28:38 time: 1.0297 data_time: 0.0208 memory: 22681 loss: 2.0277 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0277 2022/10/30 07:57:22 - mmengine - INFO - Epoch(train) [46][140/660] lr: 6.2872e-03 eta: 10:28:17 time: 1.0232 data_time: 0.0192 memory: 22681 loss: 2.1157 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1157 2022/10/30 07:57:42 - mmengine - INFO - Epoch(train) [46][160/660] lr: 6.2826e-03 eta: 10:27:56 time: 1.0222 data_time: 0.0190 memory: 22681 loss: 2.2202 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2202 2022/10/30 07:58:03 - mmengine - INFO - Epoch(train) [46][180/660] lr: 6.2781e-03 eta: 10:27:35 time: 1.0350 data_time: 0.0210 memory: 22681 loss: 2.0398 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0398 2022/10/30 07:58:24 - mmengine - INFO - Epoch(train) [46][200/660] lr: 6.2736e-03 eta: 10:27:14 time: 1.0371 data_time: 0.0224 memory: 22681 loss: 2.2214 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2214 2022/10/30 07:58:44 - mmengine - INFO - Epoch(train) [46][220/660] lr: 6.2690e-03 eta: 10:26:52 time: 1.0263 data_time: 0.0206 memory: 22681 loss: 1.9359 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9359 2022/10/30 07:59:05 - mmengine - INFO - Epoch(train) [46][240/660] lr: 6.2645e-03 eta: 10:26:31 time: 1.0250 data_time: 0.0209 memory: 22681 loss: 2.1532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1532 2022/10/30 07:59:25 - mmengine - INFO - Epoch(train) [46][260/660] lr: 6.2600e-03 eta: 10:26:10 time: 1.0402 data_time: 0.0205 memory: 22681 loss: 2.0620 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0620 2022/10/30 07:59:46 - mmengine - INFO - Epoch(train) [46][280/660] lr: 6.2554e-03 eta: 10:25:49 time: 1.0349 data_time: 0.0207 memory: 22681 loss: 2.0070 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0070 2022/10/30 08:00:07 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 08:00:07 - mmengine - INFO - Epoch(train) [46][300/660] lr: 6.2509e-03 eta: 10:25:28 time: 1.0312 data_time: 0.0195 memory: 22681 loss: 2.0296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0296 2022/10/30 08:00:27 - mmengine - INFO - Epoch(train) [46][320/660] lr: 6.2464e-03 eta: 10:25:07 time: 1.0274 data_time: 0.0193 memory: 22681 loss: 2.1457 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1457 2022/10/30 08:00:48 - mmengine - INFO - Epoch(train) [46][340/660] lr: 6.2418e-03 eta: 10:24:46 time: 1.0397 data_time: 0.0216 memory: 22681 loss: 2.1333 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1333 2022/10/30 08:01:09 - mmengine - INFO - Epoch(train) [46][360/660] lr: 6.2373e-03 eta: 10:24:25 time: 1.0441 data_time: 0.0211 memory: 22681 loss: 2.1107 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1107 2022/10/30 08:01:29 - mmengine - INFO - Epoch(train) [46][380/660] lr: 6.2328e-03 eta: 10:24:04 time: 1.0283 data_time: 0.0203 memory: 22681 loss: 1.9441 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9441 2022/10/30 08:01:50 - mmengine - INFO - Epoch(train) [46][400/660] lr: 6.2282e-03 eta: 10:23:43 time: 1.0284 data_time: 0.0188 memory: 22681 loss: 2.2352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2352 2022/10/30 08:02:11 - mmengine - INFO - Epoch(train) [46][420/660] lr: 6.2237e-03 eta: 10:23:22 time: 1.0404 data_time: 0.0207 memory: 22681 loss: 2.1346 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1346 2022/10/30 08:02:32 - mmengine - INFO - Epoch(train) [46][440/660] lr: 6.2191e-03 eta: 10:23:01 time: 1.0423 data_time: 0.0215 memory: 22681 loss: 2.0788 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0788 2022/10/30 08:02:52 - mmengine - INFO - Epoch(train) [46][460/660] lr: 6.2146e-03 eta: 10:22:40 time: 1.0281 data_time: 0.0214 memory: 22681 loss: 2.0929 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0929 2022/10/30 08:03:13 - mmengine - INFO - Epoch(train) [46][480/660] lr: 6.2101e-03 eta: 10:22:19 time: 1.0265 data_time: 0.0193 memory: 22681 loss: 2.2520 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2520 2022/10/30 08:03:34 - mmengine - INFO - Epoch(train) [46][500/660] lr: 6.2055e-03 eta: 10:21:58 time: 1.0420 data_time: 0.0215 memory: 22681 loss: 2.1389 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1389 2022/10/30 08:03:54 - mmengine - INFO - Epoch(train) [46][520/660] lr: 6.2010e-03 eta: 10:21:37 time: 1.0381 data_time: 0.0224 memory: 22681 loss: 2.1578 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.1578 2022/10/30 08:04:15 - mmengine - INFO - Epoch(train) [46][540/660] lr: 6.1964e-03 eta: 10:21:16 time: 1.0294 data_time: 0.0207 memory: 22681 loss: 2.2219 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2219 2022/10/30 08:04:36 - mmengine - INFO - Epoch(train) [46][560/660] lr: 6.1919e-03 eta: 10:20:54 time: 1.0277 data_time: 0.0187 memory: 22681 loss: 2.0803 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0803 2022/10/30 08:04:56 - mmengine - INFO - Epoch(train) [46][580/660] lr: 6.1873e-03 eta: 10:20:34 time: 1.0426 data_time: 0.0209 memory: 22681 loss: 2.1240 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1240 2022/10/30 08:05:17 - mmengine - INFO - Epoch(train) [46][600/660] lr: 6.1828e-03 eta: 10:20:13 time: 1.0386 data_time: 0.0222 memory: 22681 loss: 2.0436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0436 2022/10/30 08:05:38 - mmengine - INFO - Epoch(train) [46][620/660] lr: 6.1782e-03 eta: 10:19:52 time: 1.0292 data_time: 0.0207 memory: 22681 loss: 2.1566 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1566 2022/10/30 08:05:58 - mmengine - INFO - Epoch(train) [46][640/660] lr: 6.1737e-03 eta: 10:19:30 time: 1.0239 data_time: 0.0198 memory: 22681 loss: 2.0166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0166 2022/10/30 08:06:19 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 08:06:19 - mmengine - INFO - Epoch(train) [46][660/660] lr: 6.1691e-03 eta: 10:19:09 time: 1.0165 data_time: 0.0216 memory: 22681 loss: 2.1422 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 2.1422 2022/10/30 08:06:21 - mmengine - INFO - Epoch(val) [46][20/194] eta: 0:00:24 time: 0.1386 data_time: 0.0346 memory: 2517 2022/10/30 08:06:24 - mmengine - INFO - Epoch(val) [46][40/194] eta: 0:00:17 time: 0.1115 data_time: 0.0084 memory: 2517 2022/10/30 08:06:26 - mmengine - INFO - Epoch(val) [46][60/194] eta: 0:00:14 time: 0.1102 data_time: 0.0079 memory: 2517 2022/10/30 08:06:28 - mmengine - INFO - Epoch(val) [46][80/194] eta: 0:00:12 time: 0.1106 data_time: 0.0083 memory: 2517 2022/10/30 08:06:30 - mmengine - INFO - Epoch(val) [46][100/194] eta: 0:00:10 time: 0.1106 data_time: 0.0084 memory: 2517 2022/10/30 08:06:32 - mmengine - INFO - Epoch(val) [46][120/194] eta: 0:00:08 time: 0.1108 data_time: 0.0079 memory: 2517 2022/10/30 08:06:35 - mmengine - INFO - Epoch(val) [46][140/194] eta: 0:00:05 time: 0.1088 data_time: 0.0078 memory: 2517 2022/10/30 08:06:37 - mmengine - INFO - Epoch(val) [46][160/194] eta: 0:00:03 time: 0.1078 data_time: 0.0074 memory: 2517 2022/10/30 08:06:39 - mmengine - INFO - Epoch(val) [46][180/194] eta: 0:00:01 time: 0.1077 data_time: 0.0073 memory: 2517 2022/10/30 08:06:42 - mmengine - INFO - Epoch(val) [46][194/194] acc/top1: 0.6482 acc/top5: 0.8999 acc/mean1: 0.5793 2022/10/30 08:07:12 - mmengine - INFO - Epoch(train) [47][20/660] lr: 6.1646e-03 eta: 10:18:58 time: 1.4885 data_time: 0.3211 memory: 22681 loss: 2.1307 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.1307 2022/10/30 08:07:32 - mmengine - INFO - Epoch(train) [47][40/660] lr: 6.1600e-03 eta: 10:18:37 time: 1.0186 data_time: 0.0187 memory: 22681 loss: 2.3180 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3180 2022/10/30 08:07:53 - mmengine - INFO - Epoch(train) [47][60/660] lr: 6.1555e-03 eta: 10:18:16 time: 1.0214 data_time: 0.0186 memory: 22681 loss: 2.0791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0791 2022/10/30 08:08:13 - mmengine - INFO - Epoch(train) [47][80/660] lr: 6.1509e-03 eta: 10:17:54 time: 1.0192 data_time: 0.0194 memory: 22681 loss: 2.3858 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3858 2022/10/30 08:08:34 - mmengine - INFO - Epoch(train) [47][100/660] lr: 6.1464e-03 eta: 10:17:33 time: 1.0322 data_time: 0.0241 memory: 22681 loss: 2.0478 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0478 2022/10/30 08:08:54 - mmengine - INFO - Epoch(train) [47][120/660] lr: 6.1418e-03 eta: 10:17:12 time: 1.0266 data_time: 0.0195 memory: 22681 loss: 2.0705 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0705 2022/10/30 08:09:15 - mmengine - INFO - Epoch(train) [47][140/660] lr: 6.1372e-03 eta: 10:16:51 time: 1.0232 data_time: 0.0184 memory: 22681 loss: 1.9333 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9333 2022/10/30 08:09:35 - mmengine - INFO - Epoch(train) [47][160/660] lr: 6.1327e-03 eta: 10:16:29 time: 1.0226 data_time: 0.0183 memory: 22681 loss: 2.0167 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0167 2022/10/30 08:09:56 - mmengine - INFO - Epoch(train) [47][180/660] lr: 6.1281e-03 eta: 10:16:08 time: 1.0367 data_time: 0.0238 memory: 22681 loss: 2.0355 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0355 2022/10/30 08:10:16 - mmengine - INFO - Epoch(train) [47][200/660] lr: 6.1236e-03 eta: 10:15:47 time: 1.0315 data_time: 0.0189 memory: 22681 loss: 1.9609 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9609 2022/10/30 08:10:37 - mmengine - INFO - Epoch(train) [47][220/660] lr: 6.1190e-03 eta: 10:15:26 time: 1.0246 data_time: 0.0184 memory: 22681 loss: 2.1295 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1295 2022/10/30 08:10:57 - mmengine - INFO - Epoch(train) [47][240/660] lr: 6.1144e-03 eta: 10:15:05 time: 1.0231 data_time: 0.0188 memory: 22681 loss: 2.1339 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1339 2022/10/30 08:11:18 - mmengine - INFO - Epoch(train) [47][260/660] lr: 6.1099e-03 eta: 10:14:44 time: 1.0415 data_time: 0.0236 memory: 22681 loss: 2.1498 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1498 2022/10/30 08:11:39 - mmengine - INFO - Epoch(train) [47][280/660] lr: 6.1053e-03 eta: 10:14:23 time: 1.0298 data_time: 0.0192 memory: 22681 loss: 2.1348 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1348 2022/10/30 08:11:59 - mmengine - INFO - Epoch(train) [47][300/660] lr: 6.1007e-03 eta: 10:14:02 time: 1.0316 data_time: 0.0224 memory: 22681 loss: 2.0843 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.0843 2022/10/30 08:12:20 - mmengine - INFO - Epoch(train) [47][320/660] lr: 6.0962e-03 eta: 10:13:40 time: 1.0269 data_time: 0.0189 memory: 22681 loss: 2.0392 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0392 2022/10/30 08:12:41 - mmengine - INFO - Epoch(train) [47][340/660] lr: 6.0916e-03 eta: 10:13:20 time: 1.0434 data_time: 0.0238 memory: 22681 loss: 2.0203 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0203 2022/10/30 08:13:02 - mmengine - INFO - Epoch(train) [47][360/660] lr: 6.0870e-03 eta: 10:12:59 time: 1.0395 data_time: 0.0198 memory: 22681 loss: 2.1090 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1090 2022/10/30 08:13:22 - mmengine - INFO - Epoch(train) [47][380/660] lr: 6.0825e-03 eta: 10:12:37 time: 1.0273 data_time: 0.0188 memory: 22681 loss: 2.1280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1280 2022/10/30 08:13:43 - mmengine - INFO - Epoch(train) [47][400/660] lr: 6.0779e-03 eta: 10:12:16 time: 1.0264 data_time: 0.0194 memory: 22681 loss: 2.1608 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1608 2022/10/30 08:14:03 - mmengine - INFO - Epoch(train) [47][420/660] lr: 6.0733e-03 eta: 10:11:55 time: 1.0405 data_time: 0.0241 memory: 22681 loss: 2.0363 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0363 2022/10/30 08:14:24 - mmengine - INFO - Epoch(train) [47][440/660] lr: 6.0687e-03 eta: 10:11:34 time: 1.0362 data_time: 0.0213 memory: 22681 loss: 2.0187 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.0187 2022/10/30 08:14:45 - mmengine - INFO - Epoch(train) [47][460/660] lr: 6.0642e-03 eta: 10:11:13 time: 1.0263 data_time: 0.0194 memory: 22681 loss: 1.9411 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9411 2022/10/30 08:15:05 - mmengine - INFO - Epoch(train) [47][480/660] lr: 6.0596e-03 eta: 10:10:52 time: 1.0251 data_time: 0.0203 memory: 22681 loss: 2.0946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0946 2022/10/30 08:15:26 - mmengine - INFO - Epoch(train) [47][500/660] lr: 6.0550e-03 eta: 10:10:31 time: 1.0452 data_time: 0.0242 memory: 22681 loss: 2.0603 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0603 2022/10/30 08:15:47 - mmengine - INFO - Epoch(train) [47][520/660] lr: 6.0505e-03 eta: 10:10:10 time: 1.0374 data_time: 0.0190 memory: 22681 loss: 2.1085 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1085 2022/10/30 08:16:07 - mmengine - INFO - Epoch(train) [47][540/660] lr: 6.0459e-03 eta: 10:09:49 time: 1.0303 data_time: 0.0195 memory: 22681 loss: 2.1777 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1777 2022/10/30 08:16:28 - mmengine - INFO - Epoch(train) [47][560/660] lr: 6.0413e-03 eta: 10:09:28 time: 1.0284 data_time: 0.0202 memory: 22681 loss: 2.1100 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1100 2022/10/30 08:16:49 - mmengine - INFO - Epoch(train) [47][580/660] lr: 6.0367e-03 eta: 10:09:07 time: 1.0471 data_time: 0.0249 memory: 22681 loss: 1.9872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9872 2022/10/30 08:17:10 - mmengine - INFO - Epoch(train) [47][600/660] lr: 6.0321e-03 eta: 10:08:46 time: 1.0436 data_time: 0.0200 memory: 22681 loss: 1.9948 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9948 2022/10/30 08:17:30 - mmengine - INFO - Epoch(train) [47][620/660] lr: 6.0276e-03 eta: 10:08:25 time: 1.0294 data_time: 0.0187 memory: 22681 loss: 2.1434 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1434 2022/10/30 08:17:51 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 08:17:51 - mmengine - INFO - Epoch(train) [47][640/660] lr: 6.0230e-03 eta: 10:08:04 time: 1.0245 data_time: 0.0194 memory: 22681 loss: 2.0698 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0698 2022/10/30 08:18:11 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 08:18:11 - mmengine - INFO - Epoch(train) [47][660/660] lr: 6.0184e-03 eta: 10:07:42 time: 1.0175 data_time: 0.0204 memory: 22681 loss: 2.0318 top1_acc: 0.6429 top5_acc: 0.9286 loss_cls: 2.0318 2022/10/30 08:18:14 - mmengine - INFO - Epoch(val) [47][20/194] eta: 0:00:23 time: 0.1352 data_time: 0.0334 memory: 2517 2022/10/30 08:18:16 - mmengine - INFO - Epoch(val) [47][40/194] eta: 0:00:16 time: 0.1090 data_time: 0.0079 memory: 2517 2022/10/30 08:18:18 - mmengine - INFO - Epoch(val) [47][60/194] eta: 0:00:14 time: 0.1087 data_time: 0.0079 memory: 2517 2022/10/30 08:18:21 - mmengine - INFO - Epoch(val) [47][80/194] eta: 0:00:12 time: 0.1085 data_time: 0.0078 memory: 2517 2022/10/30 08:18:23 - mmengine - INFO - Epoch(val) [47][100/194] eta: 0:00:10 time: 0.1094 data_time: 0.0081 memory: 2517 2022/10/30 08:18:25 - mmengine - INFO - Epoch(val) [47][120/194] eta: 0:00:08 time: 0.1083 data_time: 0.0077 memory: 2517 2022/10/30 08:18:27 - mmengine - INFO - Epoch(val) [47][140/194] eta: 0:00:05 time: 0.1085 data_time: 0.0078 memory: 2517 2022/10/30 08:18:29 - mmengine - INFO - Epoch(val) [47][160/194] eta: 0:00:03 time: 0.1085 data_time: 0.0076 memory: 2517 2022/10/30 08:18:31 - mmengine - INFO - Epoch(val) [47][180/194] eta: 0:00:01 time: 0.1086 data_time: 0.0077 memory: 2517 2022/10/30 08:18:34 - mmengine - INFO - Epoch(val) [47][194/194] acc/top1: 0.6478 acc/top5: 0.9001 acc/mean1: 0.5725 2022/10/30 08:19:05 - mmengine - INFO - Epoch(train) [48][20/660] lr: 6.0138e-03 eta: 10:07:32 time: 1.5099 data_time: 0.2838 memory: 22681 loss: 2.0397 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0397 2022/10/30 08:19:25 - mmengine - INFO - Epoch(train) [48][40/660] lr: 6.0092e-03 eta: 10:07:11 time: 1.0248 data_time: 0.0192 memory: 22681 loss: 2.0793 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0793 2022/10/30 08:19:45 - mmengine - INFO - Epoch(train) [48][60/660] lr: 6.0046e-03 eta: 10:06:49 time: 1.0205 data_time: 0.0182 memory: 22681 loss: 2.1318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1318 2022/10/30 08:20:06 - mmengine - INFO - Epoch(train) [48][80/660] lr: 6.0001e-03 eta: 10:06:28 time: 1.0231 data_time: 0.0188 memory: 22681 loss: 1.9930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9930 2022/10/30 08:20:27 - mmengine - INFO - Epoch(train) [48][100/660] lr: 5.9955e-03 eta: 10:06:07 time: 1.0370 data_time: 0.0246 memory: 22681 loss: 1.9888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9888 2022/10/30 08:20:47 - mmengine - INFO - Epoch(train) [48][120/660] lr: 5.9909e-03 eta: 10:05:46 time: 1.0275 data_time: 0.0191 memory: 22681 loss: 2.0243 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0243 2022/10/30 08:21:08 - mmengine - INFO - Epoch(train) [48][140/660] lr: 5.9863e-03 eta: 10:05:25 time: 1.0252 data_time: 0.0196 memory: 22681 loss: 2.2255 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2255 2022/10/30 08:21:28 - mmengine - INFO - Epoch(train) [48][160/660] lr: 5.9817e-03 eta: 10:05:04 time: 1.0238 data_time: 0.0189 memory: 22681 loss: 1.9606 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9606 2022/10/30 08:21:49 - mmengine - INFO - Epoch(train) [48][180/660] lr: 5.9771e-03 eta: 10:04:43 time: 1.0371 data_time: 0.0240 memory: 22681 loss: 1.9880 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9880 2022/10/30 08:22:10 - mmengine - INFO - Epoch(train) [48][200/660] lr: 5.9725e-03 eta: 10:04:21 time: 1.0289 data_time: 0.0185 memory: 22681 loss: 2.0699 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0699 2022/10/30 08:22:30 - mmengine - INFO - Epoch(train) [48][220/660] lr: 5.9679e-03 eta: 10:04:00 time: 1.0252 data_time: 0.0191 memory: 22681 loss: 2.0285 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0285 2022/10/30 08:22:51 - mmengine - INFO - Epoch(train) [48][240/660] lr: 5.9634e-03 eta: 10:03:39 time: 1.0259 data_time: 0.0200 memory: 22681 loss: 1.9486 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9486 2022/10/30 08:23:11 - mmengine - INFO - Epoch(train) [48][260/660] lr: 5.9588e-03 eta: 10:03:18 time: 1.0367 data_time: 0.0238 memory: 22681 loss: 2.1979 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1979 2022/10/30 08:23:32 - mmengine - INFO - Epoch(train) [48][280/660] lr: 5.9542e-03 eta: 10:02:57 time: 1.0270 data_time: 0.0189 memory: 22681 loss: 2.0640 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0640 2022/10/30 08:23:52 - mmengine - INFO - Epoch(train) [48][300/660] lr: 5.9496e-03 eta: 10:02:35 time: 1.0243 data_time: 0.0191 memory: 22681 loss: 2.0674 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0674 2022/10/30 08:24:13 - mmengine - INFO - Epoch(train) [48][320/660] lr: 5.9450e-03 eta: 10:02:14 time: 1.0233 data_time: 0.0200 memory: 22681 loss: 2.0213 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0213 2022/10/30 08:24:34 - mmengine - INFO - Epoch(train) [48][340/660] lr: 5.9404e-03 eta: 10:01:53 time: 1.0410 data_time: 0.0226 memory: 22681 loss: 1.9523 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9523 2022/10/30 08:24:54 - mmengine - INFO - Epoch(train) [48][360/660] lr: 5.9358e-03 eta: 10:01:32 time: 1.0290 data_time: 0.0184 memory: 22681 loss: 2.2084 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2084 2022/10/30 08:25:15 - mmengine - INFO - Epoch(train) [48][380/660] lr: 5.9312e-03 eta: 10:01:11 time: 1.0267 data_time: 0.0199 memory: 22681 loss: 2.0858 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.0858 2022/10/30 08:25:35 - mmengine - INFO - Epoch(train) [48][400/660] lr: 5.9266e-03 eta: 10:00:50 time: 1.0249 data_time: 0.0201 memory: 22681 loss: 2.1244 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1244 2022/10/30 08:25:56 - mmengine - INFO - Epoch(train) [48][420/660] lr: 5.9220e-03 eta: 10:00:29 time: 1.0435 data_time: 0.0229 memory: 22681 loss: 2.0357 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0357 2022/10/30 08:26:17 - mmengine - INFO - Epoch(train) [48][440/660] lr: 5.9174e-03 eta: 10:00:08 time: 1.0285 data_time: 0.0187 memory: 22681 loss: 2.0893 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0893 2022/10/30 08:26:37 - mmengine - INFO - Epoch(train) [48][460/660] lr: 5.9128e-03 eta: 9:59:47 time: 1.0269 data_time: 0.0198 memory: 22681 loss: 2.0785 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0785 2022/10/30 08:26:58 - mmengine - INFO - Epoch(train) [48][480/660] lr: 5.9082e-03 eta: 9:59:25 time: 1.0234 data_time: 0.0195 memory: 22681 loss: 2.0896 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0896 2022/10/30 08:27:18 - mmengine - INFO - Epoch(train) [48][500/660] lr: 5.9036e-03 eta: 9:59:04 time: 1.0369 data_time: 0.0249 memory: 22681 loss: 2.3761 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3761 2022/10/30 08:27:39 - mmengine - INFO - Epoch(train) [48][520/660] lr: 5.8990e-03 eta: 9:58:43 time: 1.0270 data_time: 0.0190 memory: 22681 loss: 2.0284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0284 2022/10/30 08:28:00 - mmengine - INFO - Epoch(train) [48][540/660] lr: 5.8944e-03 eta: 9:58:22 time: 1.0266 data_time: 0.0203 memory: 22681 loss: 2.0907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0907 2022/10/30 08:28:20 - mmengine - INFO - Epoch(train) [48][560/660] lr: 5.8898e-03 eta: 9:58:01 time: 1.0235 data_time: 0.0194 memory: 22681 loss: 2.1300 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1300 2022/10/30 08:28:41 - mmengine - INFO - Epoch(train) [48][580/660] lr: 5.8852e-03 eta: 9:57:40 time: 1.0369 data_time: 0.0224 memory: 22681 loss: 2.0637 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0637 2022/10/30 08:29:01 - mmengine - INFO - Epoch(train) [48][600/660] lr: 5.8806e-03 eta: 9:57:19 time: 1.0294 data_time: 0.0176 memory: 22681 loss: 2.1410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1410 2022/10/30 08:29:22 - mmengine - INFO - Epoch(train) [48][620/660] lr: 5.8760e-03 eta: 9:56:57 time: 1.0313 data_time: 0.0200 memory: 22681 loss: 2.0354 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0354 2022/10/30 08:29:42 - mmengine - INFO - Epoch(train) [48][640/660] lr: 5.8714e-03 eta: 9:56:36 time: 1.0213 data_time: 0.0188 memory: 22681 loss: 2.1827 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1827 2022/10/30 08:30:03 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 08:30:03 - mmengine - INFO - Epoch(train) [48][660/660] lr: 5.8668e-03 eta: 9:56:15 time: 1.0128 data_time: 0.0205 memory: 22681 loss: 2.0492 top1_acc: 0.7143 top5_acc: 0.9286 loss_cls: 2.0492 2022/10/30 08:30:03 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/10/30 08:30:06 - mmengine - INFO - Epoch(val) [48][20/194] eta: 0:00:22 time: 0.1271 data_time: 0.0254 memory: 2517 2022/10/30 08:30:09 - mmengine - INFO - Epoch(val) [48][40/194] eta: 0:00:16 time: 0.1086 data_time: 0.0077 memory: 2517 2022/10/30 08:30:11 - mmengine - INFO - Epoch(val) [48][60/194] eta: 0:00:14 time: 0.1076 data_time: 0.0070 memory: 2517 2022/10/30 08:30:13 - mmengine - INFO - Epoch(val) [48][80/194] eta: 0:00:12 time: 0.1076 data_time: 0.0071 memory: 2517 2022/10/30 08:30:15 - mmengine - INFO - Epoch(val) [48][100/194] eta: 0:00:10 time: 0.1076 data_time: 0.0071 memory: 2517 2022/10/30 08:30:17 - mmengine - INFO - Epoch(val) [48][120/194] eta: 0:00:07 time: 0.1080 data_time: 0.0074 memory: 2517 2022/10/30 08:30:19 - mmengine - INFO - Epoch(val) [48][140/194] eta: 0:00:06 time: 0.1134 data_time: 0.0095 memory: 2517 2022/10/30 08:30:22 - mmengine - INFO - Epoch(val) [48][160/194] eta: 0:00:03 time: 0.1109 data_time: 0.0085 memory: 2517 2022/10/30 08:30:24 - mmengine - INFO - Epoch(val) [48][180/194] eta: 0:00:01 time: 0.1086 data_time: 0.0073 memory: 2517 2022/10/30 08:30:26 - mmengine - INFO - Epoch(val) [48][194/194] acc/top1: 0.6534 acc/top5: 0.9012 acc/mean1: 0.5826 2022/10/30 08:30:26 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_45.pth is removed 2022/10/30 08:30:27 - mmengine - INFO - The best checkpoint with 0.6534 acc/top1 at 48 epoch is saved to best_acc/top1_epoch_48.pth. 2022/10/30 08:30:56 - mmengine - INFO - Epoch(train) [49][20/660] lr: 5.8622e-03 eta: 9:56:02 time: 1.4116 data_time: 0.2997 memory: 22681 loss: 2.0889 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0889 2022/10/30 08:31:16 - mmengine - INFO - Epoch(train) [49][40/660] lr: 5.8575e-03 eta: 9:55:41 time: 1.0223 data_time: 0.0187 memory: 22681 loss: 2.0645 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0645 2022/10/30 08:31:36 - mmengine - INFO - Epoch(train) [49][60/660] lr: 5.8529e-03 eta: 9:55:19 time: 1.0177 data_time: 0.0197 memory: 22681 loss: 2.0646 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0646 2022/10/30 08:31:57 - mmengine - INFO - Epoch(train) [49][80/660] lr: 5.8483e-03 eta: 9:54:58 time: 1.0186 data_time: 0.0187 memory: 22681 loss: 2.0428 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0428 2022/10/30 08:32:18 - mmengine - INFO - Epoch(train) [49][100/660] lr: 5.8437e-03 eta: 9:54:37 time: 1.0359 data_time: 0.0256 memory: 22681 loss: 1.9699 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9699 2022/10/30 08:32:38 - mmengine - INFO - Epoch(train) [49][120/660] lr: 5.8391e-03 eta: 9:54:16 time: 1.0254 data_time: 0.0194 memory: 22681 loss: 1.9967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9967 2022/10/30 08:32:58 - mmengine - INFO - Epoch(train) [49][140/660] lr: 5.8345e-03 eta: 9:53:54 time: 1.0189 data_time: 0.0196 memory: 22681 loss: 2.1062 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 2.1062 2022/10/30 08:33:19 - mmengine - INFO - Epoch(train) [49][160/660] lr: 5.8299e-03 eta: 9:53:33 time: 1.0207 data_time: 0.0204 memory: 22681 loss: 2.0939 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0939 2022/10/30 08:33:40 - mmengine - INFO - Epoch(train) [49][180/660] lr: 5.8253e-03 eta: 9:53:12 time: 1.0321 data_time: 0.0250 memory: 22681 loss: 1.9840 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9840 2022/10/30 08:34:00 - mmengine - INFO - Epoch(train) [49][200/660] lr: 5.8207e-03 eta: 9:52:51 time: 1.0251 data_time: 0.0196 memory: 22681 loss: 1.9764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9764 2022/10/30 08:34:21 - mmengine - INFO - Epoch(train) [49][220/660] lr: 5.8160e-03 eta: 9:52:29 time: 1.0255 data_time: 0.0198 memory: 22681 loss: 2.0395 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0395 2022/10/30 08:34:41 - mmengine - INFO - Epoch(train) [49][240/660] lr: 5.8114e-03 eta: 9:52:08 time: 1.0211 data_time: 0.0200 memory: 22681 loss: 2.0735 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0735 2022/10/30 08:35:02 - mmengine - INFO - Epoch(train) [49][260/660] lr: 5.8068e-03 eta: 9:51:47 time: 1.0329 data_time: 0.0247 memory: 22681 loss: 1.8675 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8675 2022/10/30 08:35:22 - mmengine - INFO - Epoch(train) [49][280/660] lr: 5.8022e-03 eta: 9:51:26 time: 1.0260 data_time: 0.0201 memory: 22681 loss: 2.1206 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.1206 2022/10/30 08:35:43 - mmengine - INFO - Epoch(train) [49][300/660] lr: 5.7976e-03 eta: 9:51:04 time: 1.0198 data_time: 0.0199 memory: 22681 loss: 1.9982 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9982 2022/10/30 08:36:03 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 08:36:03 - mmengine - INFO - Epoch(train) [49][320/660] lr: 5.7930e-03 eta: 9:50:43 time: 1.0282 data_time: 0.0197 memory: 22681 loss: 2.0063 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0063 2022/10/30 08:36:24 - mmengine - INFO - Epoch(train) [49][340/660] lr: 5.7883e-03 eta: 9:50:22 time: 1.0377 data_time: 0.0239 memory: 22681 loss: 1.9322 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9322 2022/10/30 08:36:44 - mmengine - INFO - Epoch(train) [49][360/660] lr: 5.7837e-03 eta: 9:50:01 time: 1.0295 data_time: 0.0194 memory: 22681 loss: 1.9271 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9271 2022/10/30 08:37:05 - mmengine - INFO - Epoch(train) [49][380/660] lr: 5.7791e-03 eta: 9:49:40 time: 1.0259 data_time: 0.0188 memory: 22681 loss: 1.9736 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9736 2022/10/30 08:37:26 - mmengine - INFO - Epoch(train) [49][400/660] lr: 5.7745e-03 eta: 9:49:19 time: 1.0278 data_time: 0.0181 memory: 22681 loss: 2.1815 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1815 2022/10/30 08:37:46 - mmengine - INFO - Epoch(train) [49][420/660] lr: 5.7699e-03 eta: 9:48:58 time: 1.0386 data_time: 0.0223 memory: 22681 loss: 1.9670 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9670 2022/10/30 08:38:07 - mmengine - INFO - Epoch(train) [49][440/660] lr: 5.7652e-03 eta: 9:48:37 time: 1.0306 data_time: 0.0182 memory: 22681 loss: 2.1410 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1410 2022/10/30 08:38:27 - mmengine - INFO - Epoch(train) [49][460/660] lr: 5.7606e-03 eta: 9:48:16 time: 1.0286 data_time: 0.0184 memory: 22681 loss: 2.0575 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0575 2022/10/30 08:38:48 - mmengine - INFO - Epoch(train) [49][480/660] lr: 5.7560e-03 eta: 9:47:55 time: 1.0265 data_time: 0.0198 memory: 22681 loss: 1.9570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9570 2022/10/30 08:39:09 - mmengine - INFO - Epoch(train) [49][500/660] lr: 5.7514e-03 eta: 9:47:34 time: 1.0385 data_time: 0.0230 memory: 22681 loss: 2.1425 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1425 2022/10/30 08:39:29 - mmengine - INFO - Epoch(train) [49][520/660] lr: 5.7467e-03 eta: 9:47:12 time: 1.0289 data_time: 0.0187 memory: 22681 loss: 2.1823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1823 2022/10/30 08:39:50 - mmengine - INFO - Epoch(train) [49][540/660] lr: 5.7421e-03 eta: 9:46:51 time: 1.0298 data_time: 0.0189 memory: 22681 loss: 2.0629 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0629 2022/10/30 08:40:11 - mmengine - INFO - Epoch(train) [49][560/660] lr: 5.7375e-03 eta: 9:46:30 time: 1.0277 data_time: 0.0194 memory: 22681 loss: 1.9442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9442 2022/10/30 08:40:31 - mmengine - INFO - Epoch(train) [49][580/660] lr: 5.7329e-03 eta: 9:46:09 time: 1.0447 data_time: 0.0233 memory: 22681 loss: 2.0660 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0660 2022/10/30 08:40:52 - mmengine - INFO - Epoch(train) [49][600/660] lr: 5.7282e-03 eta: 9:45:48 time: 1.0337 data_time: 0.0193 memory: 22681 loss: 2.1132 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.1132 2022/10/30 08:41:13 - mmengine - INFO - Epoch(train) [49][620/660] lr: 5.7236e-03 eta: 9:45:27 time: 1.0278 data_time: 0.0201 memory: 22681 loss: 2.0212 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0212 2022/10/30 08:41:33 - mmengine - INFO - Epoch(train) [49][640/660] lr: 5.7190e-03 eta: 9:45:06 time: 1.0252 data_time: 0.0199 memory: 22681 loss: 2.1306 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1306 2022/10/30 08:41:54 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 08:41:54 - mmengine - INFO - Epoch(train) [49][660/660] lr: 5.7144e-03 eta: 9:44:45 time: 1.0185 data_time: 0.0217 memory: 22681 loss: 2.1558 top1_acc: 0.6429 top5_acc: 0.8571 loss_cls: 2.1558 2022/10/30 08:41:56 - mmengine - INFO - Epoch(val) [49][20/194] eta: 0:00:23 time: 0.1366 data_time: 0.0344 memory: 2517 2022/10/30 08:41:58 - mmengine - INFO - Epoch(val) [49][40/194] eta: 0:00:16 time: 0.1082 data_time: 0.0072 memory: 2517 2022/10/30 08:42:01 - mmengine - INFO - Epoch(val) [49][60/194] eta: 0:00:14 time: 0.1081 data_time: 0.0073 memory: 2517 2022/10/30 08:42:03 - mmengine - INFO - Epoch(val) [49][80/194] eta: 0:00:12 time: 0.1089 data_time: 0.0075 memory: 2517 2022/10/30 08:42:05 - mmengine - INFO - Epoch(val) [49][100/194] eta: 0:00:10 time: 0.1075 data_time: 0.0070 memory: 2517 2022/10/30 08:42:07 - mmengine - INFO - Epoch(val) [49][120/194] eta: 0:00:07 time: 0.1080 data_time: 0.0072 memory: 2517 2022/10/30 08:42:09 - mmengine - INFO - Epoch(val) [49][140/194] eta: 0:00:05 time: 0.1083 data_time: 0.0077 memory: 2517 2022/10/30 08:42:11 - mmengine - INFO - Epoch(val) [49][160/194] eta: 0:00:03 time: 0.1083 data_time: 0.0075 memory: 2517 2022/10/30 08:42:14 - mmengine - INFO - Epoch(val) [49][180/194] eta: 0:00:01 time: 0.1078 data_time: 0.0071 memory: 2517 2022/10/30 08:42:17 - mmengine - INFO - Epoch(val) [49][194/194] acc/top1: 0.6494 acc/top5: 0.9010 acc/mean1: 0.5778 2022/10/30 08:42:47 - mmengine - INFO - Epoch(train) [50][20/660] lr: 5.7097e-03 eta: 9:44:34 time: 1.5255 data_time: 0.2856 memory: 22681 loss: 2.0625 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0625 2022/10/30 08:43:08 - mmengine - INFO - Epoch(train) [50][40/660] lr: 5.7051e-03 eta: 9:44:13 time: 1.0245 data_time: 0.0195 memory: 22681 loss: 1.9446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9446 2022/10/30 08:43:28 - mmengine - INFO - Epoch(train) [50][60/660] lr: 5.7005e-03 eta: 9:43:51 time: 1.0243 data_time: 0.0219 memory: 22681 loss: 2.0986 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0986 2022/10/30 08:43:49 - mmengine - INFO - Epoch(train) [50][80/660] lr: 5.6958e-03 eta: 9:43:30 time: 1.0253 data_time: 0.0191 memory: 22681 loss: 1.9594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9594 2022/10/30 08:44:10 - mmengine - INFO - Epoch(train) [50][100/660] lr: 5.6912e-03 eta: 9:43:09 time: 1.0405 data_time: 0.0218 memory: 22681 loss: 2.1304 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1304 2022/10/30 08:44:30 - mmengine - INFO - Epoch(train) [50][120/660] lr: 5.6866e-03 eta: 9:42:48 time: 1.0293 data_time: 0.0196 memory: 22681 loss: 2.0899 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0899 2022/10/30 08:44:51 - mmengine - INFO - Epoch(train) [50][140/660] lr: 5.6820e-03 eta: 9:42:27 time: 1.0246 data_time: 0.0191 memory: 22681 loss: 2.1322 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1322 2022/10/30 08:45:11 - mmengine - INFO - Epoch(train) [50][160/660] lr: 5.6773e-03 eta: 9:42:06 time: 1.0291 data_time: 0.0184 memory: 22681 loss: 1.9388 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9388 2022/10/30 08:45:32 - mmengine - INFO - Epoch(train) [50][180/660] lr: 5.6727e-03 eta: 9:41:45 time: 1.0440 data_time: 0.0216 memory: 22681 loss: 2.0838 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0838 2022/10/30 08:45:53 - mmengine - INFO - Epoch(train) [50][200/660] lr: 5.6681e-03 eta: 9:41:24 time: 1.0333 data_time: 0.0188 memory: 22681 loss: 2.1485 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1485 2022/10/30 08:46:14 - mmengine - INFO - Epoch(train) [50][220/660] lr: 5.6634e-03 eta: 9:41:03 time: 1.0291 data_time: 0.0179 memory: 22681 loss: 2.1511 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1511 2022/10/30 08:46:34 - mmengine - INFO - Epoch(train) [50][240/660] lr: 5.6588e-03 eta: 9:40:42 time: 1.0239 data_time: 0.0182 memory: 22681 loss: 2.0621 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.0621 2022/10/30 08:46:55 - mmengine - INFO - Epoch(train) [50][260/660] lr: 5.6542e-03 eta: 9:40:21 time: 1.0434 data_time: 0.0234 memory: 22681 loss: 1.9627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9627 2022/10/30 08:47:16 - mmengine - INFO - Epoch(train) [50][280/660] lr: 5.6495e-03 eta: 9:40:00 time: 1.0340 data_time: 0.0210 memory: 22681 loss: 2.1390 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1390 2022/10/30 08:47:36 - mmengine - INFO - Epoch(train) [50][300/660] lr: 5.6449e-03 eta: 9:39:38 time: 1.0245 data_time: 0.0196 memory: 22681 loss: 2.0721 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0721 2022/10/30 08:47:57 - mmengine - INFO - Epoch(train) [50][320/660] lr: 5.6402e-03 eta: 9:39:17 time: 1.0260 data_time: 0.0191 memory: 22681 loss: 2.0784 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0784 2022/10/30 08:48:18 - mmengine - INFO - Epoch(train) [50][340/660] lr: 5.6356e-03 eta: 9:38:57 time: 1.0459 data_time: 0.0232 memory: 22681 loss: 1.8981 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.8981 2022/10/30 08:48:38 - mmengine - INFO - Epoch(train) [50][360/660] lr: 5.6310e-03 eta: 9:38:36 time: 1.0340 data_time: 0.0199 memory: 22681 loss: 2.1572 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1572 2022/10/30 08:48:59 - mmengine - INFO - Epoch(train) [50][380/660] lr: 5.6263e-03 eta: 9:38:14 time: 1.0266 data_time: 0.0190 memory: 22681 loss: 1.9826 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9826 2022/10/30 08:49:19 - mmengine - INFO - Epoch(train) [50][400/660] lr: 5.6217e-03 eta: 9:37:53 time: 1.0314 data_time: 0.0187 memory: 22681 loss: 2.1154 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.1154 2022/10/30 08:49:40 - mmengine - INFO - Epoch(train) [50][420/660] lr: 5.6171e-03 eta: 9:37:32 time: 1.0411 data_time: 0.0219 memory: 22681 loss: 2.2041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2041 2022/10/30 08:50:01 - mmengine - INFO - Epoch(train) [50][440/660] lr: 5.6124e-03 eta: 9:37:11 time: 1.0347 data_time: 0.0207 memory: 22681 loss: 2.0353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0353 2022/10/30 08:50:21 - mmengine - INFO - Epoch(train) [50][460/660] lr: 5.6078e-03 eta: 9:36:50 time: 1.0258 data_time: 0.0195 memory: 22681 loss: 2.0485 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0485 2022/10/30 08:50:42 - mmengine - INFO - Epoch(train) [50][480/660] lr: 5.6031e-03 eta: 9:36:29 time: 1.0247 data_time: 0.0188 memory: 22681 loss: 2.1497 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.1497 2022/10/30 08:51:03 - mmengine - INFO - Epoch(train) [50][500/660] lr: 5.5985e-03 eta: 9:36:08 time: 1.0438 data_time: 0.0214 memory: 22681 loss: 2.1289 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1289 2022/10/30 08:51:23 - mmengine - INFO - Epoch(train) [50][520/660] lr: 5.5939e-03 eta: 9:35:47 time: 1.0285 data_time: 0.0183 memory: 22681 loss: 2.0076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0076 2022/10/30 08:51:44 - mmengine - INFO - Epoch(train) [50][540/660] lr: 5.5892e-03 eta: 9:35:26 time: 1.0247 data_time: 0.0191 memory: 22681 loss: 2.0120 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0120 2022/10/30 08:52:04 - mmengine - INFO - Epoch(train) [50][560/660] lr: 5.5846e-03 eta: 9:35:05 time: 1.0269 data_time: 0.0182 memory: 22681 loss: 2.0869 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0869 2022/10/30 08:52:25 - mmengine - INFO - Epoch(train) [50][580/660] lr: 5.5799e-03 eta: 9:34:44 time: 1.0422 data_time: 0.0217 memory: 22681 loss: 2.1474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1474 2022/10/30 08:52:46 - mmengine - INFO - Epoch(train) [50][600/660] lr: 5.5753e-03 eta: 9:34:23 time: 1.0330 data_time: 0.0194 memory: 22681 loss: 2.0532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0532 2022/10/30 08:53:06 - mmengine - INFO - Epoch(train) [50][620/660] lr: 5.5707e-03 eta: 9:34:02 time: 1.0240 data_time: 0.0191 memory: 22681 loss: 2.0243 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0243 2022/10/30 08:53:27 - mmengine - INFO - Epoch(train) [50][640/660] lr: 5.5660e-03 eta: 9:33:40 time: 1.0234 data_time: 0.0185 memory: 22681 loss: 2.0139 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0139 2022/10/30 08:53:47 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 08:53:47 - mmengine - INFO - Epoch(train) [50][660/660] lr: 5.5614e-03 eta: 9:33:19 time: 1.0140 data_time: 0.0200 memory: 22681 loss: 2.0704 top1_acc: 0.5000 top5_acc: 0.7143 loss_cls: 2.0704 2022/10/30 08:53:50 - mmengine - INFO - Epoch(val) [50][20/194] eta: 0:00:23 time: 0.1358 data_time: 0.0335 memory: 2517 2022/10/30 08:53:52 - mmengine - INFO - Epoch(val) [50][40/194] eta: 0:00:16 time: 0.1089 data_time: 0.0072 memory: 2517 2022/10/30 08:53:54 - mmengine - INFO - Epoch(val) [50][60/194] eta: 0:00:14 time: 0.1087 data_time: 0.0076 memory: 2517 2022/10/30 08:53:56 - mmengine - INFO - Epoch(val) [50][80/194] eta: 0:00:12 time: 0.1081 data_time: 0.0072 memory: 2517 2022/10/30 08:53:59 - mmengine - INFO - Epoch(val) [50][100/194] eta: 0:00:10 time: 0.1082 data_time: 0.0074 memory: 2517 2022/10/30 08:54:01 - mmengine - INFO - Epoch(val) [50][120/194] eta: 0:00:08 time: 0.1082 data_time: 0.0071 memory: 2517 2022/10/30 08:54:03 - mmengine - INFO - Epoch(val) [50][140/194] eta: 0:00:05 time: 0.1092 data_time: 0.0077 memory: 2517 2022/10/30 08:54:05 - mmengine - INFO - Epoch(val) [50][160/194] eta: 0:00:03 time: 0.1083 data_time: 0.0071 memory: 2517 2022/10/30 08:54:07 - mmengine - INFO - Epoch(val) [50][180/194] eta: 0:00:01 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 08:54:10 - mmengine - INFO - Epoch(val) [50][194/194] acc/top1: 0.6506 acc/top5: 0.8993 acc/mean1: 0.5840 2022/10/30 08:54:40 - mmengine - INFO - Epoch(train) [51][20/660] lr: 5.5567e-03 eta: 9:33:07 time: 1.4811 data_time: 0.2274 memory: 22681 loss: 2.0561 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0561 2022/10/30 08:55:00 - mmengine - INFO - Epoch(train) [51][40/660] lr: 5.5521e-03 eta: 9:32:46 time: 1.0204 data_time: 0.0189 memory: 22681 loss: 2.0715 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0715 2022/10/30 08:55:21 - mmengine - INFO - Epoch(train) [51][60/660] lr: 5.5474e-03 eta: 9:32:24 time: 1.0205 data_time: 0.0190 memory: 22681 loss: 1.9496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9496 2022/10/30 08:55:41 - mmengine - INFO - Epoch(train) [51][80/660] lr: 5.5428e-03 eta: 9:32:03 time: 1.0214 data_time: 0.0194 memory: 22681 loss: 1.9364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9364 2022/10/30 08:56:02 - mmengine - INFO - Epoch(train) [51][100/660] lr: 5.5381e-03 eta: 9:31:42 time: 1.0395 data_time: 0.0237 memory: 22681 loss: 2.1193 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1193 2022/10/30 08:56:23 - mmengine - INFO - Epoch(train) [51][120/660] lr: 5.5335e-03 eta: 9:31:21 time: 1.0216 data_time: 0.0177 memory: 22681 loss: 2.0035 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0035 2022/10/30 08:56:43 - mmengine - INFO - Epoch(train) [51][140/660] lr: 5.5288e-03 eta: 9:30:59 time: 1.0202 data_time: 0.0190 memory: 22681 loss: 2.0388 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0388 2022/10/30 08:57:03 - mmengine - INFO - Epoch(train) [51][160/660] lr: 5.5242e-03 eta: 9:30:38 time: 1.0211 data_time: 0.0197 memory: 22681 loss: 2.0074 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0074 2022/10/30 08:57:24 - mmengine - INFO - Epoch(train) [51][180/660] lr: 5.5195e-03 eta: 9:30:17 time: 1.0406 data_time: 0.0252 memory: 22681 loss: 2.0211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0211 2022/10/30 08:57:45 - mmengine - INFO - Epoch(train) [51][200/660] lr: 5.5149e-03 eta: 9:29:56 time: 1.0216 data_time: 0.0186 memory: 22681 loss: 2.0051 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0051 2022/10/30 08:58:05 - mmengine - INFO - Epoch(train) [51][220/660] lr: 5.5103e-03 eta: 9:29:35 time: 1.0218 data_time: 0.0192 memory: 22681 loss: 1.9270 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9270 2022/10/30 08:58:25 - mmengine - INFO - Epoch(train) [51][240/660] lr: 5.5056e-03 eta: 9:29:13 time: 1.0213 data_time: 0.0194 memory: 22681 loss: 1.9288 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9288 2022/10/30 08:58:46 - mmengine - INFO - Epoch(train) [51][260/660] lr: 5.5010e-03 eta: 9:28:53 time: 1.0411 data_time: 0.0244 memory: 22681 loss: 1.9956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9956 2022/10/30 08:59:07 - mmengine - INFO - Epoch(train) [51][280/660] lr: 5.4963e-03 eta: 9:28:31 time: 1.0289 data_time: 0.0226 memory: 22681 loss: 2.0458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0458 2022/10/30 08:59:27 - mmengine - INFO - Epoch(train) [51][300/660] lr: 5.4917e-03 eta: 9:28:10 time: 1.0209 data_time: 0.0192 memory: 22681 loss: 1.9858 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9858 2022/10/30 08:59:48 - mmengine - INFO - Epoch(train) [51][320/660] lr: 5.4870e-03 eta: 9:27:49 time: 1.0221 data_time: 0.0194 memory: 22681 loss: 2.0524 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 2.0524 2022/10/30 09:00:09 - mmengine - INFO - Epoch(train) [51][340/660] lr: 5.4824e-03 eta: 9:27:28 time: 1.0416 data_time: 0.0267 memory: 22681 loss: 2.1195 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1195 2022/10/30 09:00:29 - mmengine - INFO - Epoch(train) [51][360/660] lr: 5.4777e-03 eta: 9:27:07 time: 1.0243 data_time: 0.0198 memory: 22681 loss: 2.0430 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0430 2022/10/30 09:00:50 - mmengine - INFO - Epoch(train) [51][380/660] lr: 5.4731e-03 eta: 9:26:46 time: 1.0251 data_time: 0.0194 memory: 22681 loss: 2.0708 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0708 2022/10/30 09:01:10 - mmengine - INFO - Epoch(train) [51][400/660] lr: 5.4684e-03 eta: 9:26:24 time: 1.0226 data_time: 0.0191 memory: 22681 loss: 2.1039 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1039 2022/10/30 09:01:31 - mmengine - INFO - Epoch(train) [51][420/660] lr: 5.4638e-03 eta: 9:26:04 time: 1.0395 data_time: 0.0240 memory: 22681 loss: 2.1174 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1174 2022/10/30 09:01:51 - mmengine - INFO - Epoch(train) [51][440/660] lr: 5.4591e-03 eta: 9:25:42 time: 1.0241 data_time: 0.0183 memory: 22681 loss: 2.2126 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2126 2022/10/30 09:02:12 - mmengine - INFO - Epoch(train) [51][460/660] lr: 5.4544e-03 eta: 9:25:21 time: 1.0201 data_time: 0.0191 memory: 22681 loss: 2.1564 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1564 2022/10/30 09:02:32 - mmengine - INFO - Epoch(train) [51][480/660] lr: 5.4498e-03 eta: 9:25:00 time: 1.0225 data_time: 0.0198 memory: 22681 loss: 2.1146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1146 2022/10/30 09:02:53 - mmengine - INFO - Epoch(train) [51][500/660] lr: 5.4451e-03 eta: 9:24:39 time: 1.0445 data_time: 0.0254 memory: 22681 loss: 2.1757 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1757 2022/10/30 09:03:14 - mmengine - INFO - Epoch(train) [51][520/660] lr: 5.4405e-03 eta: 9:24:18 time: 1.0296 data_time: 0.0202 memory: 22681 loss: 2.0391 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0391 2022/10/30 09:03:34 - mmengine - INFO - Epoch(train) [51][540/660] lr: 5.4358e-03 eta: 9:23:57 time: 1.0231 data_time: 0.0196 memory: 22681 loss: 2.0584 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0584 2022/10/30 09:03:55 - mmengine - INFO - Epoch(train) [51][560/660] lr: 5.4312e-03 eta: 9:23:35 time: 1.0227 data_time: 0.0204 memory: 22681 loss: 2.0357 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0357 2022/10/30 09:04:15 - mmengine - INFO - Epoch(train) [51][580/660] lr: 5.4265e-03 eta: 9:23:14 time: 1.0358 data_time: 0.0239 memory: 22681 loss: 1.8771 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8771 2022/10/30 09:04:36 - mmengine - INFO - Epoch(train) [51][600/660] lr: 5.4219e-03 eta: 9:22:53 time: 1.0221 data_time: 0.0202 memory: 22681 loss: 2.0060 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0060 2022/10/30 09:04:56 - mmengine - INFO - Epoch(train) [51][620/660] lr: 5.4172e-03 eta: 9:22:32 time: 1.0241 data_time: 0.0193 memory: 22681 loss: 2.0047 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0047 2022/10/30 09:05:17 - mmengine - INFO - Epoch(train) [51][640/660] lr: 5.4126e-03 eta: 9:22:11 time: 1.0192 data_time: 0.0205 memory: 22681 loss: 2.0340 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0340 2022/10/30 09:05:37 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 09:05:37 - mmengine - INFO - Epoch(train) [51][660/660] lr: 5.4079e-03 eta: 9:21:49 time: 1.0140 data_time: 0.0219 memory: 22681 loss: 2.0539 top1_acc: 0.7857 top5_acc: 0.9286 loss_cls: 2.0539 2022/10/30 09:05:37 - mmengine - INFO - Saving checkpoint at 51 epochs 2022/10/30 09:05:41 - mmengine - INFO - Epoch(val) [51][20/194] eta: 0:00:22 time: 0.1290 data_time: 0.0267 memory: 2517 2022/10/30 09:05:43 - mmengine - INFO - Epoch(val) [51][40/194] eta: 0:00:17 time: 0.1105 data_time: 0.0087 memory: 2517 2022/10/30 09:05:45 - mmengine - INFO - Epoch(val) [51][60/194] eta: 0:00:14 time: 0.1107 data_time: 0.0084 memory: 2517 2022/10/30 09:05:47 - mmengine - INFO - Epoch(val) [51][80/194] eta: 0:00:12 time: 0.1093 data_time: 0.0076 memory: 2517 2022/10/30 09:05:49 - mmengine - INFO - Epoch(val) [51][100/194] eta: 0:00:10 time: 0.1086 data_time: 0.0076 memory: 2517 2022/10/30 09:05:52 - mmengine - INFO - Epoch(val) [51][120/194] eta: 0:00:07 time: 0.1077 data_time: 0.0072 memory: 2517 2022/10/30 09:05:54 - mmengine - INFO - Epoch(val) [51][140/194] eta: 0:00:05 time: 0.1090 data_time: 0.0080 memory: 2517 2022/10/30 09:05:56 - mmengine - INFO - Epoch(val) [51][160/194] eta: 0:00:03 time: 0.1081 data_time: 0.0075 memory: 2517 2022/10/30 09:05:58 - mmengine - INFO - Epoch(val) [51][180/194] eta: 0:00:01 time: 0.1078 data_time: 0.0072 memory: 2517 2022/10/30 09:06:00 - mmengine - INFO - Epoch(val) [51][194/194] acc/top1: 0.6509 acc/top5: 0.9014 acc/mean1: 0.5814 2022/10/30 09:06:30 - mmengine - INFO - Epoch(train) [52][20/660] lr: 5.4033e-03 eta: 9:21:37 time: 1.4880 data_time: 0.2217 memory: 22681 loss: 1.9941 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9941 2022/10/30 09:06:51 - mmengine - INFO - Epoch(train) [52][40/660] lr: 5.3986e-03 eta: 9:21:16 time: 1.0324 data_time: 0.0186 memory: 22681 loss: 2.0289 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0289 2022/10/30 09:07:11 - mmengine - INFO - Epoch(train) [52][60/660] lr: 5.3939e-03 eta: 9:20:55 time: 1.0335 data_time: 0.0191 memory: 22681 loss: 2.0141 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0141 2022/10/30 09:07:32 - mmengine - INFO - Epoch(train) [52][80/660] lr: 5.3893e-03 eta: 9:20:34 time: 1.0282 data_time: 0.0202 memory: 22681 loss: 1.9028 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9028 2022/10/30 09:07:53 - mmengine - INFO - Epoch(train) [52][100/660] lr: 5.3846e-03 eta: 9:20:13 time: 1.0454 data_time: 0.0218 memory: 22681 loss: 2.0895 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 2.0895 2022/10/30 09:08:14 - mmengine - INFO - Epoch(train) [52][120/660] lr: 5.3800e-03 eta: 9:19:52 time: 1.0301 data_time: 0.0184 memory: 22681 loss: 2.0386 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0386 2022/10/30 09:08:34 - mmengine - INFO - Epoch(train) [52][140/660] lr: 5.3753e-03 eta: 9:19:31 time: 1.0342 data_time: 0.0187 memory: 22681 loss: 2.1061 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1061 2022/10/30 09:08:55 - mmengine - INFO - Epoch(train) [52][160/660] lr: 5.3707e-03 eta: 9:19:10 time: 1.0276 data_time: 0.0203 memory: 22681 loss: 2.0952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0952 2022/10/30 09:09:16 - mmengine - INFO - Epoch(train) [52][180/660] lr: 5.3660e-03 eta: 9:18:49 time: 1.0459 data_time: 0.0214 memory: 22681 loss: 2.0878 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0878 2022/10/30 09:09:36 - mmengine - INFO - Epoch(train) [52][200/660] lr: 5.3613e-03 eta: 9:18:28 time: 1.0328 data_time: 0.0184 memory: 22681 loss: 1.9994 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9994 2022/10/30 09:09:57 - mmengine - INFO - Epoch(train) [52][220/660] lr: 5.3567e-03 eta: 9:18:07 time: 1.0386 data_time: 0.0187 memory: 22681 loss: 1.9533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9533 2022/10/30 09:10:18 - mmengine - INFO - Epoch(train) [52][240/660] lr: 5.3520e-03 eta: 9:17:46 time: 1.0333 data_time: 0.0235 memory: 22681 loss: 1.9184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9184 2022/10/30 09:10:39 - mmengine - INFO - Epoch(train) [52][260/660] lr: 5.3474e-03 eta: 9:17:25 time: 1.0433 data_time: 0.0218 memory: 22681 loss: 2.0211 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0211 2022/10/30 09:10:59 - mmengine - INFO - Epoch(train) [52][280/660] lr: 5.3427e-03 eta: 9:17:04 time: 1.0362 data_time: 0.0197 memory: 22681 loss: 1.9645 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9645 2022/10/30 09:11:20 - mmengine - INFO - Epoch(train) [52][300/660] lr: 5.3380e-03 eta: 9:16:43 time: 1.0414 data_time: 0.0192 memory: 22681 loss: 1.9842 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9842 2022/10/30 09:11:41 - mmengine - INFO - Epoch(train) [52][320/660] lr: 5.3334e-03 eta: 9:16:22 time: 1.0352 data_time: 0.0191 memory: 22681 loss: 2.1203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1203 2022/10/30 09:12:02 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 09:12:02 - mmengine - INFO - Epoch(train) [52][340/660] lr: 5.3287e-03 eta: 9:16:02 time: 1.0449 data_time: 0.0219 memory: 22681 loss: 2.0871 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0871 2022/10/30 09:12:23 - mmengine - INFO - Epoch(train) [52][360/660] lr: 5.3241e-03 eta: 9:15:41 time: 1.0421 data_time: 0.0193 memory: 22681 loss: 1.9237 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9237 2022/10/30 09:12:43 - mmengine - INFO - Epoch(train) [52][380/660] lr: 5.3194e-03 eta: 9:15:20 time: 1.0389 data_time: 0.0189 memory: 22681 loss: 2.1090 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1090 2022/10/30 09:13:04 - mmengine - INFO - Epoch(train) [52][400/660] lr: 5.3147e-03 eta: 9:14:59 time: 1.0339 data_time: 0.0180 memory: 22681 loss: 2.1285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1285 2022/10/30 09:13:25 - mmengine - INFO - Epoch(train) [52][420/660] lr: 5.3101e-03 eta: 9:14:38 time: 1.0461 data_time: 0.0224 memory: 22681 loss: 1.8684 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8684 2022/10/30 09:13:46 - mmengine - INFO - Epoch(train) [52][440/660] lr: 5.3054e-03 eta: 9:14:17 time: 1.0361 data_time: 0.0176 memory: 22681 loss: 1.9931 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9931 2022/10/30 09:14:07 - mmengine - INFO - Epoch(train) [52][460/660] lr: 5.3008e-03 eta: 9:13:56 time: 1.0390 data_time: 0.0185 memory: 22681 loss: 2.0644 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0644 2022/10/30 09:14:27 - mmengine - INFO - Epoch(train) [52][480/660] lr: 5.2961e-03 eta: 9:13:35 time: 1.0350 data_time: 0.0189 memory: 22681 loss: 1.9026 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9026 2022/10/30 09:14:48 - mmengine - INFO - Epoch(train) [52][500/660] lr: 5.2914e-03 eta: 9:13:14 time: 1.0444 data_time: 0.0229 memory: 22681 loss: 2.0372 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0372 2022/10/30 09:15:09 - mmengine - INFO - Epoch(train) [52][520/660] lr: 5.2868e-03 eta: 9:12:53 time: 1.0351 data_time: 0.0196 memory: 22681 loss: 1.8994 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8994 2022/10/30 09:15:30 - mmengine - INFO - Epoch(train) [52][540/660] lr: 5.2821e-03 eta: 9:12:32 time: 1.0376 data_time: 0.0191 memory: 22681 loss: 2.1177 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1177 2022/10/30 09:15:50 - mmengine - INFO - Epoch(train) [52][560/660] lr: 5.2775e-03 eta: 9:12:11 time: 1.0314 data_time: 0.0191 memory: 22681 loss: 2.0373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0373 2022/10/30 09:16:11 - mmengine - INFO - Epoch(train) [52][580/660] lr: 5.2728e-03 eta: 9:11:51 time: 1.0465 data_time: 0.0234 memory: 22681 loss: 2.0872 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0872 2022/10/30 09:16:32 - mmengine - INFO - Epoch(train) [52][600/660] lr: 5.2681e-03 eta: 9:11:30 time: 1.0370 data_time: 0.0186 memory: 22681 loss: 1.9689 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9689 2022/10/30 09:16:53 - mmengine - INFO - Epoch(train) [52][620/660] lr: 5.2635e-03 eta: 9:11:09 time: 1.0422 data_time: 0.0187 memory: 22681 loss: 2.0262 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0262 2022/10/30 09:17:13 - mmengine - INFO - Epoch(train) [52][640/660] lr: 5.2588e-03 eta: 9:10:48 time: 1.0319 data_time: 0.0198 memory: 22681 loss: 2.0460 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0460 2022/10/30 09:17:34 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 09:17:34 - mmengine - INFO - Epoch(train) [52][660/660] lr: 5.2541e-03 eta: 9:10:26 time: 1.0201 data_time: 0.0192 memory: 22681 loss: 2.0901 top1_acc: 0.5714 top5_acc: 0.9286 loss_cls: 2.0901 2022/10/30 09:17:37 - mmengine - INFO - Epoch(val) [52][20/194] eta: 0:00:23 time: 0.1356 data_time: 0.0334 memory: 2517 2022/10/30 09:17:39 - mmengine - INFO - Epoch(val) [52][40/194] eta: 0:00:16 time: 0.1100 data_time: 0.0079 memory: 2517 2022/10/30 09:17:41 - mmengine - INFO - Epoch(val) [52][60/194] eta: 0:00:15 time: 0.1139 data_time: 0.0101 memory: 2517 2022/10/30 09:17:43 - mmengine - INFO - Epoch(val) [52][80/194] eta: 0:00:12 time: 0.1092 data_time: 0.0072 memory: 2517 2022/10/30 09:17:45 - mmengine - INFO - Epoch(val) [52][100/194] eta: 0:00:10 time: 0.1091 data_time: 0.0077 memory: 2517 2022/10/30 09:17:48 - mmengine - INFO - Epoch(val) [52][120/194] eta: 0:00:08 time: 0.1087 data_time: 0.0075 memory: 2517 2022/10/30 09:17:50 - mmengine - INFO - Epoch(val) [52][140/194] eta: 0:00:05 time: 0.1086 data_time: 0.0076 memory: 2517 2022/10/30 09:17:52 - mmengine - INFO - Epoch(val) [52][160/194] eta: 0:00:03 time: 0.1088 data_time: 0.0075 memory: 2517 2022/10/30 09:17:54 - mmengine - INFO - Epoch(val) [52][180/194] eta: 0:00:01 time: 0.1083 data_time: 0.0075 memory: 2517 2022/10/30 09:17:57 - mmengine - INFO - Epoch(val) [52][194/194] acc/top1: 0.6517 acc/top5: 0.8992 acc/mean1: 0.5837 2022/10/30 09:18:27 - mmengine - INFO - Epoch(train) [53][20/660] lr: 5.2495e-03 eta: 9:10:14 time: 1.5210 data_time: 0.3708 memory: 22681 loss: 2.0042 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0042 2022/10/30 09:18:48 - mmengine - INFO - Epoch(train) [53][40/660] lr: 5.2448e-03 eta: 9:09:53 time: 1.0189 data_time: 0.0196 memory: 22681 loss: 2.0205 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0205 2022/10/30 09:19:08 - mmengine - INFO - Epoch(train) [53][60/660] lr: 5.2402e-03 eta: 9:09:32 time: 1.0290 data_time: 0.0194 memory: 22681 loss: 1.8799 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8799 2022/10/30 09:19:29 - mmengine - INFO - Epoch(train) [53][80/660] lr: 5.2355e-03 eta: 9:09:11 time: 1.0249 data_time: 0.0188 memory: 22681 loss: 1.8883 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8883 2022/10/30 09:19:50 - mmengine - INFO - Epoch(train) [53][100/660] lr: 5.2308e-03 eta: 9:08:50 time: 1.0434 data_time: 0.0233 memory: 22681 loss: 2.0237 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0237 2022/10/30 09:20:10 - mmengine - INFO - Epoch(train) [53][120/660] lr: 5.2262e-03 eta: 9:08:29 time: 1.0305 data_time: 0.0201 memory: 22681 loss: 2.0039 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0039 2022/10/30 09:20:31 - mmengine - INFO - Epoch(train) [53][140/660] lr: 5.2215e-03 eta: 9:08:08 time: 1.0318 data_time: 0.0199 memory: 22681 loss: 1.9867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9867 2022/10/30 09:20:52 - mmengine - INFO - Epoch(train) [53][160/660] lr: 5.2168e-03 eta: 9:07:47 time: 1.0295 data_time: 0.0185 memory: 22681 loss: 2.1309 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1309 2022/10/30 09:21:12 - mmengine - INFO - Epoch(train) [53][180/660] lr: 5.2122e-03 eta: 9:07:26 time: 1.0416 data_time: 0.0237 memory: 22681 loss: 2.0822 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0822 2022/10/30 09:21:33 - mmengine - INFO - Epoch(train) [53][200/660] lr: 5.2075e-03 eta: 9:07:05 time: 1.0353 data_time: 0.0197 memory: 22681 loss: 2.0208 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0208 2022/10/30 09:21:54 - mmengine - INFO - Epoch(train) [53][220/660] lr: 5.2029e-03 eta: 9:06:44 time: 1.0362 data_time: 0.0190 memory: 22681 loss: 2.0709 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0709 2022/10/30 09:22:14 - mmengine - INFO - Epoch(train) [53][240/660] lr: 5.1982e-03 eta: 9:06:23 time: 1.0307 data_time: 0.0181 memory: 22681 loss: 2.0646 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0646 2022/10/30 09:22:36 - mmengine - INFO - Epoch(train) [53][260/660] lr: 5.1935e-03 eta: 9:06:02 time: 1.0530 data_time: 0.0225 memory: 22681 loss: 2.1120 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1120 2022/10/30 09:22:56 - mmengine - INFO - Epoch(train) [53][280/660] lr: 5.1889e-03 eta: 9:05:41 time: 1.0352 data_time: 0.0197 memory: 22681 loss: 1.9227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9227 2022/10/30 09:23:17 - mmengine - INFO - Epoch(train) [53][300/660] lr: 5.1842e-03 eta: 9:05:20 time: 1.0355 data_time: 0.0187 memory: 22681 loss: 2.0121 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0121 2022/10/30 09:23:38 - mmengine - INFO - Epoch(train) [53][320/660] lr: 5.1795e-03 eta: 9:04:59 time: 1.0291 data_time: 0.0179 memory: 22681 loss: 2.1215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1215 2022/10/30 09:23:58 - mmengine - INFO - Epoch(train) [53][340/660] lr: 5.1749e-03 eta: 9:04:38 time: 1.0445 data_time: 0.0226 memory: 22681 loss: 2.0266 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0266 2022/10/30 09:24:19 - mmengine - INFO - Epoch(train) [53][360/660] lr: 5.1702e-03 eta: 9:04:17 time: 1.0359 data_time: 0.0184 memory: 22681 loss: 1.7864 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7864 2022/10/30 09:24:40 - mmengine - INFO - Epoch(train) [53][380/660] lr: 5.1655e-03 eta: 9:03:56 time: 1.0471 data_time: 0.0223 memory: 22681 loss: 2.0196 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0196 2022/10/30 09:25:01 - mmengine - INFO - Epoch(train) [53][400/660] lr: 5.1609e-03 eta: 9:03:35 time: 1.0309 data_time: 0.0193 memory: 22681 loss: 1.9929 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9929 2022/10/30 09:25:22 - mmengine - INFO - Epoch(train) [53][420/660] lr: 5.1562e-03 eta: 9:03:15 time: 1.0454 data_time: 0.0257 memory: 22681 loss: 2.0308 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0308 2022/10/30 09:25:42 - mmengine - INFO - Epoch(train) [53][440/660] lr: 5.1515e-03 eta: 9:02:54 time: 1.0316 data_time: 0.0191 memory: 22681 loss: 1.9619 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9619 2022/10/30 09:26:03 - mmengine - INFO - Epoch(train) [53][460/660] lr: 5.1469e-03 eta: 9:02:33 time: 1.0351 data_time: 0.0190 memory: 22681 loss: 2.0361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0361 2022/10/30 09:26:24 - mmengine - INFO - Epoch(train) [53][480/660] lr: 5.1422e-03 eta: 9:02:11 time: 1.0310 data_time: 0.0214 memory: 22681 loss: 1.9949 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9949 2022/10/30 09:26:45 - mmengine - INFO - Epoch(train) [53][500/660] lr: 5.1376e-03 eta: 9:01:51 time: 1.0452 data_time: 0.0237 memory: 22681 loss: 2.1304 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.1304 2022/10/30 09:27:05 - mmengine - INFO - Epoch(train) [53][520/660] lr: 5.1329e-03 eta: 9:01:30 time: 1.0331 data_time: 0.0205 memory: 22681 loss: 1.9700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9700 2022/10/30 09:27:26 - mmengine - INFO - Epoch(train) [53][540/660] lr: 5.1282e-03 eta: 9:01:09 time: 1.0319 data_time: 0.0198 memory: 22681 loss: 2.0101 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.0101 2022/10/30 09:27:46 - mmengine - INFO - Epoch(train) [53][560/660] lr: 5.1236e-03 eta: 9:00:47 time: 1.0265 data_time: 0.0189 memory: 22681 loss: 2.0655 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0655 2022/10/30 09:28:07 - mmengine - INFO - Epoch(train) [53][580/660] lr: 5.1189e-03 eta: 9:00:27 time: 1.0400 data_time: 0.0223 memory: 22681 loss: 1.9505 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9505 2022/10/30 09:28:28 - mmengine - INFO - Epoch(train) [53][600/660] lr: 5.1142e-03 eta: 9:00:05 time: 1.0299 data_time: 0.0205 memory: 22681 loss: 1.9685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9685 2022/10/30 09:28:48 - mmengine - INFO - Epoch(train) [53][620/660] lr: 5.1096e-03 eta: 8:59:44 time: 1.0332 data_time: 0.0187 memory: 22681 loss: 2.0092 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0092 2022/10/30 09:29:09 - mmengine - INFO - Epoch(train) [53][640/660] lr: 5.1049e-03 eta: 8:59:23 time: 1.0226 data_time: 0.0199 memory: 22681 loss: 2.0754 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0754 2022/10/30 09:29:29 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 09:29:29 - mmengine - INFO - Epoch(train) [53][660/660] lr: 5.1002e-03 eta: 8:59:02 time: 1.0146 data_time: 0.0208 memory: 22681 loss: 1.9971 top1_acc: 0.6429 top5_acc: 0.8571 loss_cls: 1.9971 2022/10/30 09:29:32 - mmengine - INFO - Epoch(val) [53][20/194] eta: 0:00:23 time: 0.1344 data_time: 0.0320 memory: 2517 2022/10/30 09:29:34 - mmengine - INFO - Epoch(val) [53][40/194] eta: 0:00:16 time: 0.1097 data_time: 0.0080 memory: 2517 2022/10/30 09:29:36 - mmengine - INFO - Epoch(val) [53][60/194] eta: 0:00:14 time: 0.1085 data_time: 0.0075 memory: 2517 2022/10/30 09:29:38 - mmengine - INFO - Epoch(val) [53][80/194] eta: 0:00:12 time: 0.1086 data_time: 0.0074 memory: 2517 2022/10/30 09:29:41 - mmengine - INFO - Epoch(val) [53][100/194] eta: 0:00:10 time: 0.1078 data_time: 0.0072 memory: 2517 2022/10/30 09:29:43 - mmengine - INFO - Epoch(val) [53][120/194] eta: 0:00:08 time: 0.1099 data_time: 0.0079 memory: 2517 2022/10/30 09:29:45 - mmengine - INFO - Epoch(val) [53][140/194] eta: 0:00:06 time: 0.1120 data_time: 0.0088 memory: 2517 2022/10/30 09:29:47 - mmengine - INFO - Epoch(val) [53][160/194] eta: 0:00:03 time: 0.1102 data_time: 0.0077 memory: 2517 2022/10/30 09:29:49 - mmengine - INFO - Epoch(val) [53][180/194] eta: 0:00:01 time: 0.1086 data_time: 0.0072 memory: 2517 2022/10/30 09:29:52 - mmengine - INFO - Epoch(val) [53][194/194] acc/top1: 0.6536 acc/top5: 0.9019 acc/mean1: 0.5857 2022/10/30 09:29:52 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_48.pth is removed 2022/10/30 09:29:54 - mmengine - INFO - The best checkpoint with 0.6536 acc/top1 at 53 epoch is saved to best_acc/top1_epoch_53.pth. 2022/10/30 09:30:23 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 09:30:23 - mmengine - INFO - Epoch(train) [54][20/660] lr: 5.0956e-03 eta: 8:58:48 time: 1.4253 data_time: 0.2195 memory: 22681 loss: 2.1333 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1333 2022/10/30 09:30:43 - mmengine - INFO - Epoch(train) [54][40/660] lr: 5.0909e-03 eta: 8:58:27 time: 1.0264 data_time: 0.0184 memory: 22681 loss: 1.9894 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9894 2022/10/30 09:31:04 - mmengine - INFO - Epoch(train) [54][60/660] lr: 5.0862e-03 eta: 8:58:06 time: 1.0313 data_time: 0.0191 memory: 22681 loss: 2.0843 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0843 2022/10/30 09:31:24 - mmengine - INFO - Epoch(train) [54][80/660] lr: 5.0816e-03 eta: 8:57:45 time: 1.0295 data_time: 0.0203 memory: 22681 loss: 1.9777 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9777 2022/10/30 09:31:45 - mmengine - INFO - Epoch(train) [54][100/660] lr: 5.0769e-03 eta: 8:57:24 time: 1.0420 data_time: 0.0249 memory: 22681 loss: 2.0579 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0579 2022/10/30 09:32:06 - mmengine - INFO - Epoch(train) [54][120/660] lr: 5.0722e-03 eta: 8:57:03 time: 1.0396 data_time: 0.0199 memory: 22681 loss: 1.9299 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9299 2022/10/30 09:32:27 - mmengine - INFO - Epoch(train) [54][140/660] lr: 5.0676e-03 eta: 8:56:42 time: 1.0338 data_time: 0.0184 memory: 22681 loss: 2.1084 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1084 2022/10/30 09:32:47 - mmengine - INFO - Epoch(train) [54][160/660] lr: 5.0629e-03 eta: 8:56:21 time: 1.0330 data_time: 0.0188 memory: 22681 loss: 1.9818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9818 2022/10/30 09:33:08 - mmengine - INFO - Epoch(train) [54][180/660] lr: 5.0583e-03 eta: 8:56:00 time: 1.0467 data_time: 0.0238 memory: 22681 loss: 1.9250 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9250 2022/10/30 09:33:29 - mmengine - INFO - Epoch(train) [54][200/660] lr: 5.0536e-03 eta: 8:55:39 time: 1.0393 data_time: 0.0187 memory: 22681 loss: 1.9390 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9390 2022/10/30 09:33:50 - mmengine - INFO - Epoch(train) [54][220/660] lr: 5.0489e-03 eta: 8:55:18 time: 1.0315 data_time: 0.0185 memory: 22681 loss: 2.1667 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1667 2022/10/30 09:34:10 - mmengine - INFO - Epoch(train) [54][240/660] lr: 5.0443e-03 eta: 8:54:57 time: 1.0310 data_time: 0.0189 memory: 22681 loss: 2.0623 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0623 2022/10/30 09:34:31 - mmengine - INFO - Epoch(train) [54][260/660] lr: 5.0396e-03 eta: 8:54:36 time: 1.0490 data_time: 0.0245 memory: 22681 loss: 2.1428 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1428 2022/10/30 09:34:52 - mmengine - INFO - Epoch(train) [54][280/660] lr: 5.0349e-03 eta: 8:54:15 time: 1.0410 data_time: 0.0196 memory: 22681 loss: 2.0605 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0605 2022/10/30 09:35:13 - mmengine - INFO - Epoch(train) [54][300/660] lr: 5.0303e-03 eta: 8:53:54 time: 1.0301 data_time: 0.0188 memory: 22681 loss: 1.8659 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8659 2022/10/30 09:35:34 - mmengine - INFO - Epoch(train) [54][320/660] lr: 5.0256e-03 eta: 8:53:33 time: 1.0364 data_time: 0.0232 memory: 22681 loss: 2.0641 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0641 2022/10/30 09:35:55 - mmengine - INFO - Epoch(train) [54][340/660] lr: 5.0209e-03 eta: 8:53:12 time: 1.0496 data_time: 0.0249 memory: 22681 loss: 2.0961 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0961 2022/10/30 09:36:15 - mmengine - INFO - Epoch(train) [54][360/660] lr: 5.0163e-03 eta: 8:52:52 time: 1.0473 data_time: 0.0191 memory: 22681 loss: 2.1199 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1199 2022/10/30 09:36:36 - mmengine - INFO - Epoch(train) [54][380/660] lr: 5.0116e-03 eta: 8:52:31 time: 1.0353 data_time: 0.0181 memory: 22681 loss: 2.0142 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0142 2022/10/30 09:36:57 - mmengine - INFO - Epoch(train) [54][400/660] lr: 5.0069e-03 eta: 8:52:10 time: 1.0321 data_time: 0.0186 memory: 22681 loss: 2.0883 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0883 2022/10/30 09:37:18 - mmengine - INFO - Epoch(train) [54][420/660] lr: 5.0023e-03 eta: 8:51:49 time: 1.0487 data_time: 0.0235 memory: 22681 loss: 2.0330 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0330 2022/10/30 09:37:39 - mmengine - INFO - Epoch(train) [54][440/660] lr: 4.9976e-03 eta: 8:51:28 time: 1.0441 data_time: 0.0207 memory: 22681 loss: 2.0530 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0530 2022/10/30 09:37:59 - mmengine - INFO - Epoch(train) [54][460/660] lr: 4.9930e-03 eta: 8:51:07 time: 1.0381 data_time: 0.0204 memory: 22681 loss: 2.1096 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1096 2022/10/30 09:38:20 - mmengine - INFO - Epoch(train) [54][480/660] lr: 4.9883e-03 eta: 8:50:46 time: 1.0325 data_time: 0.0192 memory: 22681 loss: 2.0029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0029 2022/10/30 09:38:41 - mmengine - INFO - Epoch(train) [54][500/660] lr: 4.9836e-03 eta: 8:50:25 time: 1.0566 data_time: 0.0265 memory: 22681 loss: 2.0752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0752 2022/10/30 09:39:02 - mmengine - INFO - Epoch(train) [54][520/660] lr: 4.9790e-03 eta: 8:50:05 time: 1.0383 data_time: 0.0208 memory: 22681 loss: 2.0964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0964 2022/10/30 09:39:23 - mmengine - INFO - Epoch(train) [54][540/660] lr: 4.9743e-03 eta: 8:49:44 time: 1.0404 data_time: 0.0187 memory: 22681 loss: 1.9213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9213 2022/10/30 09:39:44 - mmengine - INFO - Epoch(train) [54][560/660] lr: 4.9696e-03 eta: 8:49:23 time: 1.0376 data_time: 0.0198 memory: 22681 loss: 1.9511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9511 2022/10/30 09:40:05 - mmengine - INFO - Epoch(train) [54][580/660] lr: 4.9650e-03 eta: 8:49:02 time: 1.0502 data_time: 0.0255 memory: 22681 loss: 2.0865 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0865 2022/10/30 09:40:25 - mmengine - INFO - Epoch(train) [54][600/660] lr: 4.9603e-03 eta: 8:48:41 time: 1.0459 data_time: 0.0198 memory: 22681 loss: 2.0350 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0350 2022/10/30 09:40:46 - mmengine - INFO - Epoch(train) [54][620/660] lr: 4.9556e-03 eta: 8:48:20 time: 1.0399 data_time: 0.0203 memory: 22681 loss: 2.0839 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0839 2022/10/30 09:41:07 - mmengine - INFO - Epoch(train) [54][640/660] lr: 4.9510e-03 eta: 8:47:59 time: 1.0288 data_time: 0.0204 memory: 22681 loss: 2.1156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1156 2022/10/30 09:41:27 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 09:41:27 - mmengine - INFO - Epoch(train) [54][660/660] lr: 4.9463e-03 eta: 8:47:38 time: 1.0224 data_time: 0.0211 memory: 22681 loss: 2.1062 top1_acc: 0.5000 top5_acc: 0.7857 loss_cls: 2.1062 2022/10/30 09:41:27 - mmengine - INFO - Saving checkpoint at 54 epochs 2022/10/30 09:41:31 - mmengine - INFO - Epoch(val) [54][20/194] eta: 0:00:22 time: 0.1273 data_time: 0.0250 memory: 2517 2022/10/30 09:41:33 - mmengine - INFO - Epoch(val) [54][40/194] eta: 0:00:16 time: 0.1104 data_time: 0.0082 memory: 2517 2022/10/30 09:41:35 - mmengine - INFO - Epoch(val) [54][60/194] eta: 0:00:14 time: 0.1097 data_time: 0.0079 memory: 2517 2022/10/30 09:41:38 - mmengine - INFO - Epoch(val) [54][80/194] eta: 0:00:12 time: 0.1127 data_time: 0.0087 memory: 2517 2022/10/30 09:41:40 - mmengine - INFO - Epoch(val) [54][100/194] eta: 0:00:10 time: 0.1095 data_time: 0.0081 memory: 2517 2022/10/30 09:41:42 - mmengine - INFO - Epoch(val) [54][120/194] eta: 0:00:08 time: 0.1095 data_time: 0.0080 memory: 2517 2022/10/30 09:41:44 - mmengine - INFO - Epoch(val) [54][140/194] eta: 0:00:05 time: 0.1085 data_time: 0.0074 memory: 2517 2022/10/30 09:41:46 - mmengine - INFO - Epoch(val) [54][160/194] eta: 0:00:03 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 09:41:49 - mmengine - INFO - Epoch(val) [54][180/194] eta: 0:00:01 time: 0.1079 data_time: 0.0071 memory: 2517 2022/10/30 09:41:51 - mmengine - INFO - Epoch(val) [54][194/194] acc/top1: 0.6564 acc/top5: 0.8997 acc/mean1: 0.5907 2022/10/30 09:41:51 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_53.pth is removed 2022/10/30 09:41:53 - mmengine - INFO - The best checkpoint with 0.6564 acc/top1 at 54 epoch is saved to best_acc/top1_epoch_54.pth. 2022/10/30 09:42:20 - mmengine - INFO - Epoch(train) [55][20/660] lr: 4.9417e-03 eta: 8:47:23 time: 1.3898 data_time: 0.2230 memory: 22681 loss: 1.9096 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9096 2022/10/30 09:42:41 - mmengine - INFO - Epoch(train) [55][40/660] lr: 4.9370e-03 eta: 8:47:02 time: 1.0171 data_time: 0.0187 memory: 22681 loss: 1.9878 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9878 2022/10/30 09:43:01 - mmengine - INFO - Epoch(train) [55][60/660] lr: 4.9323e-03 eta: 8:46:40 time: 1.0209 data_time: 0.0186 memory: 22681 loss: 1.9435 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9435 2022/10/30 09:43:22 - mmengine - INFO - Epoch(train) [55][80/660] lr: 4.9277e-03 eta: 8:46:19 time: 1.0206 data_time: 0.0185 memory: 22681 loss: 2.0185 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0185 2022/10/30 09:43:42 - mmengine - INFO - Epoch(train) [55][100/660] lr: 4.9230e-03 eta: 8:45:58 time: 1.0423 data_time: 0.0265 memory: 22681 loss: 1.9542 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9542 2022/10/30 09:44:03 - mmengine - INFO - Epoch(train) [55][120/660] lr: 4.9183e-03 eta: 8:45:37 time: 1.0217 data_time: 0.0198 memory: 22681 loss: 1.8510 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8510 2022/10/30 09:44:23 - mmengine - INFO - Epoch(train) [55][140/660] lr: 4.9137e-03 eta: 8:45:16 time: 1.0245 data_time: 0.0188 memory: 22681 loss: 2.0991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0991 2022/10/30 09:44:44 - mmengine - INFO - Epoch(train) [55][160/660] lr: 4.9090e-03 eta: 8:44:55 time: 1.0205 data_time: 0.0190 memory: 22681 loss: 1.9712 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9712 2022/10/30 09:45:05 - mmengine - INFO - Epoch(train) [55][180/660] lr: 4.9044e-03 eta: 8:44:34 time: 1.0402 data_time: 0.0252 memory: 22681 loss: 2.0436 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0436 2022/10/30 09:45:25 - mmengine - INFO - Epoch(train) [55][200/660] lr: 4.8997e-03 eta: 8:44:13 time: 1.0249 data_time: 0.0188 memory: 22681 loss: 2.0935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0935 2022/10/30 09:45:46 - mmengine - INFO - Epoch(train) [55][220/660] lr: 4.8950e-03 eta: 8:43:52 time: 1.0268 data_time: 0.0187 memory: 22681 loss: 2.0126 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0126 2022/10/30 09:46:06 - mmengine - INFO - Epoch(train) [55][240/660] lr: 4.8904e-03 eta: 8:43:30 time: 1.0297 data_time: 0.0177 memory: 22681 loss: 2.0212 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0212 2022/10/30 09:46:27 - mmengine - INFO - Epoch(train) [55][260/660] lr: 4.8857e-03 eta: 8:43:10 time: 1.0414 data_time: 0.0233 memory: 22681 loss: 2.0655 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0655 2022/10/30 09:46:48 - mmengine - INFO - Epoch(train) [55][280/660] lr: 4.8811e-03 eta: 8:42:48 time: 1.0264 data_time: 0.0185 memory: 22681 loss: 1.9098 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9098 2022/10/30 09:47:08 - mmengine - INFO - Epoch(train) [55][300/660] lr: 4.8764e-03 eta: 8:42:27 time: 1.0271 data_time: 0.0177 memory: 22681 loss: 2.0399 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0399 2022/10/30 09:47:29 - mmengine - INFO - Epoch(train) [55][320/660] lr: 4.8717e-03 eta: 8:42:06 time: 1.0310 data_time: 0.0181 memory: 22681 loss: 1.9063 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9063 2022/10/30 09:47:50 - mmengine - INFO - Epoch(train) [55][340/660] lr: 4.8671e-03 eta: 8:41:46 time: 1.0466 data_time: 0.0245 memory: 22681 loss: 2.0683 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0683 2022/10/30 09:48:10 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 09:48:10 - mmengine - INFO - Epoch(train) [55][360/660] lr: 4.8624e-03 eta: 8:41:25 time: 1.0381 data_time: 0.0201 memory: 22681 loss: 2.0693 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0693 2022/10/30 09:48:31 - mmengine - INFO - Epoch(train) [55][380/660] lr: 4.8578e-03 eta: 8:41:04 time: 1.0312 data_time: 0.0192 memory: 22681 loss: 1.9516 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9516 2022/10/30 09:48:52 - mmengine - INFO - Epoch(train) [55][400/660] lr: 4.8531e-03 eta: 8:40:42 time: 1.0312 data_time: 0.0184 memory: 22681 loss: 2.0401 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0401 2022/10/30 09:49:13 - mmengine - INFO - Epoch(train) [55][420/660] lr: 4.8484e-03 eta: 8:40:22 time: 1.0442 data_time: 0.0231 memory: 22681 loss: 1.9742 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.9742 2022/10/30 09:49:33 - mmengine - INFO - Epoch(train) [55][440/660] lr: 4.8438e-03 eta: 8:40:01 time: 1.0313 data_time: 0.0206 memory: 22681 loss: 2.0961 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0961 2022/10/30 09:49:54 - mmengine - INFO - Epoch(train) [55][460/660] lr: 4.8391e-03 eta: 8:39:40 time: 1.0313 data_time: 0.0191 memory: 22681 loss: 1.9572 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9572 2022/10/30 09:50:14 - mmengine - INFO - Epoch(train) [55][480/660] lr: 4.8345e-03 eta: 8:39:18 time: 1.0297 data_time: 0.0198 memory: 22681 loss: 2.0002 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0002 2022/10/30 09:50:35 - mmengine - INFO - Epoch(train) [55][500/660] lr: 4.8298e-03 eta: 8:38:58 time: 1.0468 data_time: 0.0247 memory: 22681 loss: 1.9478 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9478 2022/10/30 09:50:56 - mmengine - INFO - Epoch(train) [55][520/660] lr: 4.8252e-03 eta: 8:38:37 time: 1.0320 data_time: 0.0205 memory: 22681 loss: 1.8996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8996 2022/10/30 09:51:17 - mmengine - INFO - Epoch(train) [55][540/660] lr: 4.8205e-03 eta: 8:38:16 time: 1.0356 data_time: 0.0187 memory: 22681 loss: 2.1336 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1336 2022/10/30 09:51:37 - mmengine - INFO - Epoch(train) [55][560/660] lr: 4.8158e-03 eta: 8:37:55 time: 1.0300 data_time: 0.0187 memory: 22681 loss: 2.1208 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1208 2022/10/30 09:51:58 - mmengine - INFO - Epoch(train) [55][580/660] lr: 4.8112e-03 eta: 8:37:34 time: 1.0466 data_time: 0.0236 memory: 22681 loss: 2.0015 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0015 2022/10/30 09:52:19 - mmengine - INFO - Epoch(train) [55][600/660] lr: 4.8065e-03 eta: 8:37:13 time: 1.0348 data_time: 0.0204 memory: 22681 loss: 1.9455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9455 2022/10/30 09:52:40 - mmengine - INFO - Epoch(train) [55][620/660] lr: 4.8019e-03 eta: 8:36:52 time: 1.0326 data_time: 0.0192 memory: 22681 loss: 2.0166 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0166 2022/10/30 09:53:00 - mmengine - INFO - Epoch(train) [55][640/660] lr: 4.7972e-03 eta: 8:36:31 time: 1.0284 data_time: 0.0200 memory: 22681 loss: 2.1325 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1325 2022/10/30 09:53:21 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 09:53:21 - mmengine - INFO - Epoch(train) [55][660/660] lr: 4.7926e-03 eta: 8:36:09 time: 1.0195 data_time: 0.0246 memory: 22681 loss: 1.9553 top1_acc: 0.7857 top5_acc: 0.9286 loss_cls: 1.9553 2022/10/30 09:53:23 - mmengine - INFO - Epoch(val) [55][20/194] eta: 0:00:23 time: 0.1349 data_time: 0.0331 memory: 2517 2022/10/30 09:53:25 - mmengine - INFO - Epoch(val) [55][40/194] eta: 0:00:16 time: 0.1079 data_time: 0.0073 memory: 2517 2022/10/30 09:53:28 - mmengine - INFO - Epoch(val) [55][60/194] eta: 0:00:14 time: 0.1084 data_time: 0.0074 memory: 2517 2022/10/30 09:53:30 - mmengine - INFO - Epoch(val) [55][80/194] eta: 0:00:12 time: 0.1077 data_time: 0.0071 memory: 2517 2022/10/30 09:53:32 - mmengine - INFO - Epoch(val) [55][100/194] eta: 0:00:10 time: 0.1083 data_time: 0.0073 memory: 2517 2022/10/30 09:53:34 - mmengine - INFO - Epoch(val) [55][120/194] eta: 0:00:08 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 09:53:36 - mmengine - INFO - Epoch(val) [55][140/194] eta: 0:00:05 time: 0.1077 data_time: 0.0071 memory: 2517 2022/10/30 09:53:38 - mmengine - INFO - Epoch(val) [55][160/194] eta: 0:00:03 time: 0.1073 data_time: 0.0069 memory: 2517 2022/10/30 09:53:41 - mmengine - INFO - Epoch(val) [55][180/194] eta: 0:00:01 time: 0.1075 data_time: 0.0071 memory: 2517 2022/10/30 09:53:44 - mmengine - INFO - Epoch(val) [55][194/194] acc/top1: 0.6542 acc/top5: 0.9018 acc/mean1: 0.5864 2022/10/30 09:54:13 - mmengine - INFO - Epoch(train) [56][20/660] lr: 4.7879e-03 eta: 8:35:56 time: 1.4718 data_time: 0.2630 memory: 22681 loss: 2.1698 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.1698 2022/10/30 09:54:34 - mmengine - INFO - Epoch(train) [56][40/660] lr: 4.7832e-03 eta: 8:35:34 time: 1.0218 data_time: 0.0178 memory: 22681 loss: 2.0896 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0896 2022/10/30 09:54:54 - mmengine - INFO - Epoch(train) [56][60/660] lr: 4.7786e-03 eta: 8:35:13 time: 1.0259 data_time: 0.0204 memory: 22681 loss: 2.0981 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0981 2022/10/30 09:55:15 - mmengine - INFO - Epoch(train) [56][80/660] lr: 4.7739e-03 eta: 8:34:52 time: 1.0267 data_time: 0.0195 memory: 22681 loss: 2.0316 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0316 2022/10/30 09:55:36 - mmengine - INFO - Epoch(train) [56][100/660] lr: 4.7693e-03 eta: 8:34:31 time: 1.0414 data_time: 0.0200 memory: 22681 loss: 2.0191 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0191 2022/10/30 09:55:56 - mmengine - INFO - Epoch(train) [56][120/660] lr: 4.7646e-03 eta: 8:34:10 time: 1.0324 data_time: 0.0191 memory: 22681 loss: 2.0664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0664 2022/10/30 09:56:17 - mmengine - INFO - Epoch(train) [56][140/660] lr: 4.7600e-03 eta: 8:33:49 time: 1.0391 data_time: 0.0228 memory: 22681 loss: 2.0710 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0710 2022/10/30 09:56:38 - mmengine - INFO - Epoch(train) [56][160/660] lr: 4.7553e-03 eta: 8:33:28 time: 1.0294 data_time: 0.0199 memory: 22681 loss: 1.9636 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9636 2022/10/30 09:56:59 - mmengine - INFO - Epoch(train) [56][180/660] lr: 4.7507e-03 eta: 8:33:07 time: 1.0492 data_time: 0.0204 memory: 22681 loss: 2.0515 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0515 2022/10/30 09:57:20 - mmengine - INFO - Epoch(train) [56][200/660] lr: 4.7460e-03 eta: 8:32:47 time: 1.0355 data_time: 0.0211 memory: 22681 loss: 1.8837 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8837 2022/10/30 09:57:40 - mmengine - INFO - Epoch(train) [56][220/660] lr: 4.7414e-03 eta: 8:32:26 time: 1.0349 data_time: 0.0224 memory: 22681 loss: 1.9830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9830 2022/10/30 09:58:01 - mmengine - INFO - Epoch(train) [56][240/660] lr: 4.7367e-03 eta: 8:32:04 time: 1.0325 data_time: 0.0187 memory: 22681 loss: 1.9306 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9306 2022/10/30 09:58:22 - mmengine - INFO - Epoch(train) [56][260/660] lr: 4.7321e-03 eta: 8:31:44 time: 1.0455 data_time: 0.0183 memory: 22681 loss: 1.9913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9913 2022/10/30 09:58:43 - mmengine - INFO - Epoch(train) [56][280/660] lr: 4.7274e-03 eta: 8:31:23 time: 1.0359 data_time: 0.0186 memory: 22681 loss: 1.9604 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9604 2022/10/30 09:59:03 - mmengine - INFO - Epoch(train) [56][300/660] lr: 4.7228e-03 eta: 8:31:02 time: 1.0343 data_time: 0.0211 memory: 22681 loss: 2.0946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0946 2022/10/30 09:59:24 - mmengine - INFO - Epoch(train) [56][320/660] lr: 4.7181e-03 eta: 8:30:41 time: 1.0336 data_time: 0.0215 memory: 22681 loss: 2.0576 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0576 2022/10/30 09:59:45 - mmengine - INFO - Epoch(train) [56][340/660] lr: 4.7135e-03 eta: 8:30:20 time: 1.0474 data_time: 0.0194 memory: 22681 loss: 1.8875 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8875 2022/10/30 10:00:06 - mmengine - INFO - Epoch(train) [56][360/660] lr: 4.7088e-03 eta: 8:29:59 time: 1.0369 data_time: 0.0208 memory: 22681 loss: 2.0024 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0024 2022/10/30 10:00:26 - mmengine - INFO - Epoch(train) [56][380/660] lr: 4.7042e-03 eta: 8:29:38 time: 1.0364 data_time: 0.0233 memory: 22681 loss: 2.0801 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0801 2022/10/30 10:00:47 - mmengine - INFO - Epoch(train) [56][400/660] lr: 4.6995e-03 eta: 8:29:17 time: 1.0282 data_time: 0.0187 memory: 22681 loss: 2.0596 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0596 2022/10/30 10:01:08 - mmengine - INFO - Epoch(train) [56][420/660] lr: 4.6949e-03 eta: 8:28:56 time: 1.0461 data_time: 0.0214 memory: 22681 loss: 2.1094 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1094 2022/10/30 10:01:29 - mmengine - INFO - Epoch(train) [56][440/660] lr: 4.6902e-03 eta: 8:28:35 time: 1.0409 data_time: 0.0197 memory: 22681 loss: 2.0771 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0771 2022/10/30 10:01:49 - mmengine - INFO - Epoch(train) [56][460/660] lr: 4.6856e-03 eta: 8:28:14 time: 1.0323 data_time: 0.0217 memory: 22681 loss: 1.9686 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9686 2022/10/30 10:02:10 - mmengine - INFO - Epoch(train) [56][480/660] lr: 4.6809e-03 eta: 8:27:53 time: 1.0306 data_time: 0.0191 memory: 22681 loss: 2.0286 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0286 2022/10/30 10:02:31 - mmengine - INFO - Epoch(train) [56][500/660] lr: 4.6763e-03 eta: 8:27:32 time: 1.0416 data_time: 0.0209 memory: 22681 loss: 2.0716 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0716 2022/10/30 10:02:51 - mmengine - INFO - Epoch(train) [56][520/660] lr: 4.6716e-03 eta: 8:27:11 time: 1.0337 data_time: 0.0205 memory: 22681 loss: 2.0534 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0534 2022/10/30 10:03:12 - mmengine - INFO - Epoch(train) [56][540/660] lr: 4.6670e-03 eta: 8:26:50 time: 1.0325 data_time: 0.0226 memory: 22681 loss: 1.8922 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8922 2022/10/30 10:03:33 - mmengine - INFO - Epoch(train) [56][560/660] lr: 4.6623e-03 eta: 8:26:29 time: 1.0302 data_time: 0.0204 memory: 22681 loss: 2.1426 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1426 2022/10/30 10:03:54 - mmengine - INFO - Epoch(train) [56][580/660] lr: 4.6577e-03 eta: 8:26:08 time: 1.0446 data_time: 0.0201 memory: 22681 loss: 1.9554 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9554 2022/10/30 10:04:14 - mmengine - INFO - Epoch(train) [56][600/660] lr: 4.6530e-03 eta: 8:25:47 time: 1.0342 data_time: 0.0201 memory: 22681 loss: 2.0355 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0355 2022/10/30 10:04:35 - mmengine - INFO - Epoch(train) [56][620/660] lr: 4.6484e-03 eta: 8:25:26 time: 1.0358 data_time: 0.0232 memory: 22681 loss: 2.0132 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0132 2022/10/30 10:04:55 - mmengine - INFO - Epoch(train) [56][640/660] lr: 4.6437e-03 eta: 8:25:05 time: 1.0277 data_time: 0.0203 memory: 22681 loss: 1.9033 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9033 2022/10/30 10:05:16 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 10:05:16 - mmengine - INFO - Epoch(train) [56][660/660] lr: 4.6391e-03 eta: 8:24:44 time: 1.0208 data_time: 0.0211 memory: 22681 loss: 2.0110 top1_acc: 0.6429 top5_acc: 0.7857 loss_cls: 2.0110 2022/10/30 10:05:19 - mmengine - INFO - Epoch(val) [56][20/194] eta: 0:00:23 time: 0.1330 data_time: 0.0307 memory: 2517 2022/10/30 10:05:21 - mmengine - INFO - Epoch(val) [56][40/194] eta: 0:00:16 time: 0.1083 data_time: 0.0074 memory: 2517 2022/10/30 10:05:23 - mmengine - INFO - Epoch(val) [56][60/194] eta: 0:00:14 time: 0.1084 data_time: 0.0077 memory: 2517 2022/10/30 10:05:25 - mmengine - INFO - Epoch(val) [56][80/194] eta: 0:00:12 time: 0.1085 data_time: 0.0073 memory: 2517 2022/10/30 10:05:27 - mmengine - INFO - Epoch(val) [56][100/194] eta: 0:00:10 time: 0.1083 data_time: 0.0073 memory: 2517 2022/10/30 10:05:29 - mmengine - INFO - Epoch(val) [56][120/194] eta: 0:00:08 time: 0.1089 data_time: 0.0076 memory: 2517 2022/10/30 10:05:32 - mmengine - INFO - Epoch(val) [56][140/194] eta: 0:00:05 time: 0.1091 data_time: 0.0080 memory: 2517 2022/10/30 10:05:34 - mmengine - INFO - Epoch(val) [56][160/194] eta: 0:00:03 time: 0.1090 data_time: 0.0079 memory: 2517 2022/10/30 10:05:36 - mmengine - INFO - Epoch(val) [56][180/194] eta: 0:00:01 time: 0.1085 data_time: 0.0076 memory: 2517 2022/10/30 10:05:39 - mmengine - INFO - Epoch(val) [56][194/194] acc/top1: 0.6535 acc/top5: 0.9027 acc/mean1: 0.5838 2022/10/30 10:06:09 - mmengine - INFO - Epoch(train) [57][20/660] lr: 4.6345e-03 eta: 8:24:30 time: 1.4786 data_time: 0.3129 memory: 22681 loss: 2.0062 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0062 2022/10/30 10:06:29 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 10:06:29 - mmengine - INFO - Epoch(train) [57][40/660] lr: 4.6298e-03 eta: 8:24:09 time: 1.0313 data_time: 0.0205 memory: 22681 loss: 1.9363 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9363 2022/10/30 10:06:50 - mmengine - INFO - Epoch(train) [57][60/660] lr: 4.6252e-03 eta: 8:23:48 time: 1.0287 data_time: 0.0212 memory: 22681 loss: 1.9792 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9792 2022/10/30 10:07:10 - mmengine - INFO - Epoch(train) [57][80/660] lr: 4.6205e-03 eta: 8:23:27 time: 1.0272 data_time: 0.0206 memory: 22681 loss: 2.0135 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0135 2022/10/30 10:07:31 - mmengine - INFO - Epoch(train) [57][100/660] lr: 4.6159e-03 eta: 8:23:06 time: 1.0441 data_time: 0.0234 memory: 22681 loss: 1.8623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8623 2022/10/30 10:07:52 - mmengine - INFO - Epoch(train) [57][120/660] lr: 4.6112e-03 eta: 8:22:45 time: 1.0337 data_time: 0.0181 memory: 22681 loss: 1.9403 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9403 2022/10/30 10:08:12 - mmengine - INFO - Epoch(train) [57][140/660] lr: 4.6066e-03 eta: 8:22:24 time: 1.0255 data_time: 0.0184 memory: 22681 loss: 1.8996 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8996 2022/10/30 10:08:33 - mmengine - INFO - Epoch(train) [57][160/660] lr: 4.6020e-03 eta: 8:22:03 time: 1.0232 data_time: 0.0199 memory: 22681 loss: 2.1056 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1056 2022/10/30 10:08:54 - mmengine - INFO - Epoch(train) [57][180/660] lr: 4.5973e-03 eta: 8:21:42 time: 1.0416 data_time: 0.0221 memory: 22681 loss: 2.1685 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1685 2022/10/30 10:09:14 - mmengine - INFO - Epoch(train) [57][200/660] lr: 4.5927e-03 eta: 8:21:21 time: 1.0314 data_time: 0.0186 memory: 22681 loss: 1.9539 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9539 2022/10/30 10:09:35 - mmengine - INFO - Epoch(train) [57][220/660] lr: 4.5880e-03 eta: 8:21:00 time: 1.0241 data_time: 0.0185 memory: 22681 loss: 2.0871 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0871 2022/10/30 10:09:55 - mmengine - INFO - Epoch(train) [57][240/660] lr: 4.5834e-03 eta: 8:20:38 time: 1.0225 data_time: 0.0200 memory: 22681 loss: 1.8517 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8517 2022/10/30 10:10:16 - mmengine - INFO - Epoch(train) [57][260/660] lr: 4.5788e-03 eta: 8:20:17 time: 1.0388 data_time: 0.0219 memory: 22681 loss: 2.0593 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0593 2022/10/30 10:10:37 - mmengine - INFO - Epoch(train) [57][280/660] lr: 4.5741e-03 eta: 8:19:56 time: 1.0310 data_time: 0.0183 memory: 22681 loss: 2.0995 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0995 2022/10/30 10:10:57 - mmengine - INFO - Epoch(train) [57][300/660] lr: 4.5695e-03 eta: 8:19:35 time: 1.0275 data_time: 0.0191 memory: 22681 loss: 1.9866 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9866 2022/10/30 10:11:18 - mmengine - INFO - Epoch(train) [57][320/660] lr: 4.5649e-03 eta: 8:19:14 time: 1.0247 data_time: 0.0191 memory: 22681 loss: 2.0519 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0519 2022/10/30 10:11:39 - mmengine - INFO - Epoch(train) [57][340/660] lr: 4.5602e-03 eta: 8:18:53 time: 1.0367 data_time: 0.0225 memory: 22681 loss: 1.9849 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9849 2022/10/30 10:11:59 - mmengine - INFO - Epoch(train) [57][360/660] lr: 4.5556e-03 eta: 8:18:32 time: 1.0282 data_time: 0.0185 memory: 22681 loss: 1.8491 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8491 2022/10/30 10:12:20 - mmengine - INFO - Epoch(train) [57][380/660] lr: 4.5509e-03 eta: 8:18:11 time: 1.0238 data_time: 0.0190 memory: 22681 loss: 1.9824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9824 2022/10/30 10:12:40 - mmengine - INFO - Epoch(train) [57][400/660] lr: 4.5463e-03 eta: 8:17:50 time: 1.0233 data_time: 0.0178 memory: 22681 loss: 1.9826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9826 2022/10/30 10:13:01 - mmengine - INFO - Epoch(train) [57][420/660] lr: 4.5417e-03 eta: 8:17:29 time: 1.0391 data_time: 0.0226 memory: 22681 loss: 1.9873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9873 2022/10/30 10:13:21 - mmengine - INFO - Epoch(train) [57][440/660] lr: 4.5370e-03 eta: 8:17:08 time: 1.0319 data_time: 0.0190 memory: 22681 loss: 2.0233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0233 2022/10/30 10:13:42 - mmengine - INFO - Epoch(train) [57][460/660] lr: 4.5324e-03 eta: 8:16:47 time: 1.0290 data_time: 0.0192 memory: 22681 loss: 2.0075 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0075 2022/10/30 10:14:03 - mmengine - INFO - Epoch(train) [57][480/660] lr: 4.5278e-03 eta: 8:16:26 time: 1.0286 data_time: 0.0183 memory: 22681 loss: 2.0682 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0682 2022/10/30 10:14:23 - mmengine - INFO - Epoch(train) [57][500/660] lr: 4.5231e-03 eta: 8:16:05 time: 1.0410 data_time: 0.0241 memory: 22681 loss: 2.1010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1010 2022/10/30 10:14:44 - mmengine - INFO - Epoch(train) [57][520/660] lr: 4.5185e-03 eta: 8:15:44 time: 1.0358 data_time: 0.0177 memory: 22681 loss: 2.0771 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0771 2022/10/30 10:15:05 - mmengine - INFO - Epoch(train) [57][540/660] lr: 4.5139e-03 eta: 8:15:23 time: 1.0281 data_time: 0.0199 memory: 22681 loss: 2.0044 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0044 2022/10/30 10:15:25 - mmengine - INFO - Epoch(train) [57][560/660] lr: 4.5092e-03 eta: 8:15:02 time: 1.0318 data_time: 0.0176 memory: 22681 loss: 1.9361 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9361 2022/10/30 10:15:46 - mmengine - INFO - Epoch(train) [57][580/660] lr: 4.5046e-03 eta: 8:14:41 time: 1.0404 data_time: 0.0241 memory: 22681 loss: 2.0626 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0626 2022/10/30 10:16:07 - mmengine - INFO - Epoch(train) [57][600/660] lr: 4.5000e-03 eta: 8:14:20 time: 1.0431 data_time: 0.0198 memory: 22681 loss: 2.0140 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0140 2022/10/30 10:16:28 - mmengine - INFO - Epoch(train) [57][620/660] lr: 4.4954e-03 eta: 8:13:59 time: 1.0266 data_time: 0.0193 memory: 22681 loss: 2.1479 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1479 2022/10/30 10:16:48 - mmengine - INFO - Epoch(train) [57][640/660] lr: 4.4907e-03 eta: 8:13:38 time: 1.0273 data_time: 0.0184 memory: 22681 loss: 2.0740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0740 2022/10/30 10:17:08 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 10:17:08 - mmengine - INFO - Epoch(train) [57][660/660] lr: 4.4861e-03 eta: 8:13:17 time: 1.0170 data_time: 0.0210 memory: 22681 loss: 2.0792 top1_acc: 0.5000 top5_acc: 0.8571 loss_cls: 2.0792 2022/10/30 10:17:08 - mmengine - INFO - Saving checkpoint at 57 epochs 2022/10/30 10:17:12 - mmengine - INFO - Epoch(val) [57][20/194] eta: 0:00:21 time: 0.1260 data_time: 0.0247 memory: 2517 2022/10/30 10:17:14 - mmengine - INFO - Epoch(val) [57][40/194] eta: 0:00:16 time: 0.1087 data_time: 0.0077 memory: 2517 2022/10/30 10:17:17 - mmengine - INFO - Epoch(val) [57][60/194] eta: 0:00:14 time: 0.1089 data_time: 0.0077 memory: 2517 2022/10/30 10:17:19 - mmengine - INFO - Epoch(val) [57][80/194] eta: 0:00:12 time: 0.1105 data_time: 0.0084 memory: 2517 2022/10/30 10:17:21 - mmengine - INFO - Epoch(val) [57][100/194] eta: 0:00:10 time: 0.1089 data_time: 0.0074 memory: 2517 2022/10/30 10:17:23 - mmengine - INFO - Epoch(val) [57][120/194] eta: 0:00:08 time: 0.1092 data_time: 0.0080 memory: 2517 2022/10/30 10:17:25 - mmengine - INFO - Epoch(val) [57][140/194] eta: 0:00:05 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 10:17:27 - mmengine - INFO - Epoch(val) [57][160/194] eta: 0:00:03 time: 0.1078 data_time: 0.0071 memory: 2517 2022/10/30 10:17:30 - mmengine - INFO - Epoch(val) [57][180/194] eta: 0:00:01 time: 0.1077 data_time: 0.0070 memory: 2517 2022/10/30 10:17:32 - mmengine - INFO - Epoch(val) [57][194/194] acc/top1: 0.6534 acc/top5: 0.9023 acc/mean1: 0.5854 2022/10/30 10:18:01 - mmengine - INFO - Epoch(train) [58][20/660] lr: 4.4815e-03 eta: 8:13:02 time: 1.4795 data_time: 0.2786 memory: 22681 loss: 2.0682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0682 2022/10/30 10:18:22 - mmengine - INFO - Epoch(train) [58][40/660] lr: 4.4768e-03 eta: 8:12:41 time: 1.0266 data_time: 0.0206 memory: 22681 loss: 1.9515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9515 2022/10/30 10:18:42 - mmengine - INFO - Epoch(train) [58][60/660] lr: 4.4722e-03 eta: 8:12:20 time: 1.0231 data_time: 0.0194 memory: 22681 loss: 1.9108 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9108 2022/10/30 10:19:03 - mmengine - INFO - Epoch(train) [58][80/660] lr: 4.4676e-03 eta: 8:11:59 time: 1.0251 data_time: 0.0195 memory: 22681 loss: 2.0459 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0459 2022/10/30 10:19:24 - mmengine - INFO - Epoch(train) [58][100/660] lr: 4.4630e-03 eta: 8:11:38 time: 1.0418 data_time: 0.0244 memory: 22681 loss: 2.0339 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 2.0339 2022/10/30 10:19:44 - mmengine - INFO - Epoch(train) [58][120/660] lr: 4.4583e-03 eta: 8:11:17 time: 1.0339 data_time: 0.0192 memory: 22681 loss: 2.0088 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0088 2022/10/30 10:20:05 - mmengine - INFO - Epoch(train) [58][140/660] lr: 4.4537e-03 eta: 8:10:56 time: 1.0290 data_time: 0.0186 memory: 22681 loss: 2.0553 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0553 2022/10/30 10:20:26 - mmengine - INFO - Epoch(train) [58][160/660] lr: 4.4491e-03 eta: 8:10:35 time: 1.0294 data_time: 0.0190 memory: 22681 loss: 1.8859 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8859 2022/10/30 10:20:46 - mmengine - INFO - Epoch(train) [58][180/660] lr: 4.4445e-03 eta: 8:10:14 time: 1.0462 data_time: 0.0240 memory: 22681 loss: 1.8693 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8693 2022/10/30 10:21:07 - mmengine - INFO - Epoch(train) [58][200/660] lr: 4.4398e-03 eta: 8:09:53 time: 1.0425 data_time: 0.0203 memory: 22681 loss: 1.8431 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.8431 2022/10/30 10:21:28 - mmengine - INFO - Epoch(train) [58][220/660] lr: 4.4352e-03 eta: 8:09:32 time: 1.0315 data_time: 0.0188 memory: 22681 loss: 1.8987 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8987 2022/10/30 10:21:49 - mmengine - INFO - Epoch(train) [58][240/660] lr: 4.4306e-03 eta: 8:09:11 time: 1.0318 data_time: 0.0196 memory: 22681 loss: 1.9500 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9500 2022/10/30 10:22:10 - mmengine - INFO - Epoch(train) [58][260/660] lr: 4.4260e-03 eta: 8:08:50 time: 1.0465 data_time: 0.0240 memory: 22681 loss: 1.9063 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9063 2022/10/30 10:22:30 - mmengine - INFO - Epoch(train) [58][280/660] lr: 4.4214e-03 eta: 8:08:29 time: 1.0391 data_time: 0.0189 memory: 22681 loss: 2.1060 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1060 2022/10/30 10:22:51 - mmengine - INFO - Epoch(train) [58][300/660] lr: 4.4167e-03 eta: 8:08:08 time: 1.0301 data_time: 0.0190 memory: 22681 loss: 1.9397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9397 2022/10/30 10:23:12 - mmengine - INFO - Epoch(train) [58][320/660] lr: 4.4121e-03 eta: 8:07:47 time: 1.0294 data_time: 0.0194 memory: 22681 loss: 1.9088 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9088 2022/10/30 10:23:32 - mmengine - INFO - Epoch(train) [58][340/660] lr: 4.4075e-03 eta: 8:07:26 time: 1.0487 data_time: 0.0231 memory: 22681 loss: 1.8780 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8780 2022/10/30 10:23:53 - mmengine - INFO - Epoch(train) [58][360/660] lr: 4.4029e-03 eta: 8:07:05 time: 1.0342 data_time: 0.0190 memory: 22681 loss: 1.9295 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9295 2022/10/30 10:24:14 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 10:24:14 - mmengine - INFO - Epoch(train) [58][380/660] lr: 4.3983e-03 eta: 8:06:44 time: 1.0327 data_time: 0.0233 memory: 22681 loss: 1.9175 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9175 2022/10/30 10:24:34 - mmengine - INFO - Epoch(train) [58][400/660] lr: 4.3937e-03 eta: 8:06:23 time: 1.0293 data_time: 0.0195 memory: 22681 loss: 2.0923 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0923 2022/10/30 10:24:55 - mmengine - INFO - Epoch(train) [58][420/660] lr: 4.3890e-03 eta: 8:06:03 time: 1.0458 data_time: 0.0250 memory: 22681 loss: 2.1170 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.1170 2022/10/30 10:25:16 - mmengine - INFO - Epoch(train) [58][440/660] lr: 4.3844e-03 eta: 8:05:42 time: 1.0397 data_time: 0.0194 memory: 22681 loss: 2.0676 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0676 2022/10/30 10:25:37 - mmengine - INFO - Epoch(train) [58][460/660] lr: 4.3798e-03 eta: 8:05:21 time: 1.0316 data_time: 0.0194 memory: 22681 loss: 1.9694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9694 2022/10/30 10:25:57 - mmengine - INFO - Epoch(train) [58][480/660] lr: 4.3752e-03 eta: 8:05:00 time: 1.0278 data_time: 0.0198 memory: 22681 loss: 2.0717 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0717 2022/10/30 10:26:18 - mmengine - INFO - Epoch(train) [58][500/660] lr: 4.3706e-03 eta: 8:04:39 time: 1.0478 data_time: 0.0242 memory: 22681 loss: 2.0989 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0989 2022/10/30 10:26:39 - mmengine - INFO - Epoch(train) [58][520/660] lr: 4.3660e-03 eta: 8:04:18 time: 1.0349 data_time: 0.0188 memory: 22681 loss: 2.0589 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0589 2022/10/30 10:27:00 - mmengine - INFO - Epoch(train) [58][540/660] lr: 4.3614e-03 eta: 8:03:57 time: 1.0287 data_time: 0.0191 memory: 22681 loss: 1.9837 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9837 2022/10/30 10:27:20 - mmengine - INFO - Epoch(train) [58][560/660] lr: 4.3567e-03 eta: 8:03:36 time: 1.0318 data_time: 0.0202 memory: 22681 loss: 1.9879 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.9879 2022/10/30 10:27:41 - mmengine - INFO - Epoch(train) [58][580/660] lr: 4.3521e-03 eta: 8:03:15 time: 1.0467 data_time: 0.0252 memory: 22681 loss: 1.9591 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9591 2022/10/30 10:28:02 - mmengine - INFO - Epoch(train) [58][600/660] lr: 4.3475e-03 eta: 8:02:54 time: 1.0342 data_time: 0.0194 memory: 22681 loss: 2.0022 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0022 2022/10/30 10:28:22 - mmengine - INFO - Epoch(train) [58][620/660] lr: 4.3429e-03 eta: 8:02:33 time: 1.0309 data_time: 0.0206 memory: 22681 loss: 1.9896 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9896 2022/10/30 10:28:43 - mmengine - INFO - Epoch(train) [58][640/660] lr: 4.3383e-03 eta: 8:02:12 time: 1.0284 data_time: 0.0203 memory: 22681 loss: 1.9963 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9963 2022/10/30 10:29:03 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 10:29:03 - mmengine - INFO - Epoch(train) [58][660/660] lr: 4.3337e-03 eta: 8:01:51 time: 1.0198 data_time: 0.0213 memory: 22681 loss: 2.0222 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0222 2022/10/30 10:29:06 - mmengine - INFO - Epoch(val) [58][20/194] eta: 0:00:23 time: 0.1330 data_time: 0.0313 memory: 2517 2022/10/30 10:29:08 - mmengine - INFO - Epoch(val) [58][40/194] eta: 0:00:16 time: 0.1090 data_time: 0.0078 memory: 2517 2022/10/30 10:29:10 - mmengine - INFO - Epoch(val) [58][60/194] eta: 0:00:14 time: 0.1087 data_time: 0.0076 memory: 2517 2022/10/30 10:29:13 - mmengine - INFO - Epoch(val) [58][80/194] eta: 0:00:12 time: 0.1087 data_time: 0.0074 memory: 2517 2022/10/30 10:29:15 - mmengine - INFO - Epoch(val) [58][100/194] eta: 0:00:10 time: 0.1094 data_time: 0.0078 memory: 2517 2022/10/30 10:29:17 - mmengine - INFO - Epoch(val) [58][120/194] eta: 0:00:08 time: 0.1085 data_time: 0.0074 memory: 2517 2022/10/30 10:29:19 - mmengine - INFO - Epoch(val) [58][140/194] eta: 0:00:05 time: 0.1105 data_time: 0.0081 memory: 2517 2022/10/30 10:29:21 - mmengine - INFO - Epoch(val) [58][160/194] eta: 0:00:03 time: 0.1099 data_time: 0.0081 memory: 2517 2022/10/30 10:29:24 - mmengine - INFO - Epoch(val) [58][180/194] eta: 0:00:01 time: 0.1088 data_time: 0.0077 memory: 2517 2022/10/30 10:29:27 - mmengine - INFO - Epoch(val) [58][194/194] acc/top1: 0.6566 acc/top5: 0.9038 acc/mean1: 0.5850 2022/10/30 10:29:27 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_54.pth is removed 2022/10/30 10:29:28 - mmengine - INFO - The best checkpoint with 0.6566 acc/top1 at 58 epoch is saved to best_acc/top1_epoch_58.pth. 2022/10/30 10:29:56 - mmengine - INFO - Epoch(train) [59][20/660] lr: 4.3291e-03 eta: 8:01:35 time: 1.3828 data_time: 0.2439 memory: 22681 loss: 2.0281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0281 2022/10/30 10:30:16 - mmengine - INFO - Epoch(train) [59][40/660] lr: 4.3245e-03 eta: 8:01:14 time: 1.0257 data_time: 0.0193 memory: 22681 loss: 2.0832 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0832 2022/10/30 10:30:37 - mmengine - INFO - Epoch(train) [59][60/660] lr: 4.3199e-03 eta: 8:00:52 time: 1.0270 data_time: 0.0190 memory: 22681 loss: 2.1135 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1135 2022/10/30 10:30:57 - mmengine - INFO - Epoch(train) [59][80/660] lr: 4.3153e-03 eta: 8:00:31 time: 1.0277 data_time: 0.0197 memory: 22681 loss: 1.9291 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9291 2022/10/30 10:31:18 - mmengine - INFO - Epoch(train) [59][100/660] lr: 4.3107e-03 eta: 8:00:11 time: 1.0441 data_time: 0.0238 memory: 22681 loss: 2.1623 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1623 2022/10/30 10:31:39 - mmengine - INFO - Epoch(train) [59][120/660] lr: 4.3061e-03 eta: 7:59:50 time: 1.0327 data_time: 0.0216 memory: 22681 loss: 1.9492 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9492 2022/10/30 10:31:59 - mmengine - INFO - Epoch(train) [59][140/660] lr: 4.3015e-03 eta: 7:59:28 time: 1.0282 data_time: 0.0190 memory: 22681 loss: 1.9473 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9473 2022/10/30 10:32:20 - mmengine - INFO - Epoch(train) [59][160/660] lr: 4.2969e-03 eta: 7:59:07 time: 1.0278 data_time: 0.0193 memory: 22681 loss: 2.0913 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0913 2022/10/30 10:32:41 - mmengine - INFO - Epoch(train) [59][180/660] lr: 4.2923e-03 eta: 7:58:47 time: 1.0461 data_time: 0.0238 memory: 22681 loss: 2.0070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0070 2022/10/30 10:33:02 - mmengine - INFO - Epoch(train) [59][200/660] lr: 4.2877e-03 eta: 7:58:26 time: 1.0322 data_time: 0.0185 memory: 22681 loss: 1.9522 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9522 2022/10/30 10:33:22 - mmengine - INFO - Epoch(train) [59][220/660] lr: 4.2831e-03 eta: 7:58:04 time: 1.0290 data_time: 0.0182 memory: 22681 loss: 2.2575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2575 2022/10/30 10:33:43 - mmengine - INFO - Epoch(train) [59][240/660] lr: 4.2785e-03 eta: 7:57:43 time: 1.0314 data_time: 0.0237 memory: 22681 loss: 1.9446 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9446 2022/10/30 10:34:04 - mmengine - INFO - Epoch(train) [59][260/660] lr: 4.2739e-03 eta: 7:57:23 time: 1.0436 data_time: 0.0240 memory: 22681 loss: 2.0998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0998 2022/10/30 10:34:24 - mmengine - INFO - Epoch(train) [59][280/660] lr: 4.2693e-03 eta: 7:57:02 time: 1.0301 data_time: 0.0186 memory: 22681 loss: 1.9979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9979 2022/10/30 10:34:45 - mmengine - INFO - Epoch(train) [59][300/660] lr: 4.2647e-03 eta: 7:56:40 time: 1.0275 data_time: 0.0195 memory: 22681 loss: 1.9980 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9980 2022/10/30 10:35:05 - mmengine - INFO - Epoch(train) [59][320/660] lr: 4.2601e-03 eta: 7:56:19 time: 1.0261 data_time: 0.0190 memory: 22681 loss: 2.1022 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1022 2022/10/30 10:35:26 - mmengine - INFO - Epoch(train) [59][340/660] lr: 4.2555e-03 eta: 7:55:59 time: 1.0465 data_time: 0.0225 memory: 22681 loss: 2.0696 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0696 2022/10/30 10:35:47 - mmengine - INFO - Epoch(train) [59][360/660] lr: 4.2509e-03 eta: 7:55:38 time: 1.0334 data_time: 0.0192 memory: 22681 loss: 1.9367 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9367 2022/10/30 10:36:07 - mmengine - INFO - Epoch(train) [59][380/660] lr: 4.2463e-03 eta: 7:55:16 time: 1.0263 data_time: 0.0184 memory: 22681 loss: 1.9487 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9487 2022/10/30 10:36:28 - mmengine - INFO - Epoch(train) [59][400/660] lr: 4.2417e-03 eta: 7:54:55 time: 1.0284 data_time: 0.0187 memory: 22681 loss: 2.0502 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 2.0502 2022/10/30 10:36:49 - mmengine - INFO - Epoch(train) [59][420/660] lr: 4.2371e-03 eta: 7:54:34 time: 1.0404 data_time: 0.0225 memory: 22681 loss: 1.8656 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8656 2022/10/30 10:37:09 - mmengine - INFO - Epoch(train) [59][440/660] lr: 4.2325e-03 eta: 7:54:13 time: 1.0277 data_time: 0.0179 memory: 22681 loss: 1.9425 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9425 2022/10/30 10:37:30 - mmengine - INFO - Epoch(train) [59][460/660] lr: 4.2279e-03 eta: 7:53:52 time: 1.0272 data_time: 0.0184 memory: 22681 loss: 1.9431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9431 2022/10/30 10:37:50 - mmengine - INFO - Epoch(train) [59][480/660] lr: 4.2233e-03 eta: 7:53:31 time: 1.0262 data_time: 0.0212 memory: 22681 loss: 1.9762 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9762 2022/10/30 10:38:11 - mmengine - INFO - Epoch(train) [59][500/660] lr: 4.2187e-03 eta: 7:53:10 time: 1.0392 data_time: 0.0247 memory: 22681 loss: 2.0305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0305 2022/10/30 10:38:32 - mmengine - INFO - Epoch(train) [59][520/660] lr: 4.2142e-03 eta: 7:52:49 time: 1.0282 data_time: 0.0190 memory: 22681 loss: 1.9705 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9705 2022/10/30 10:38:52 - mmengine - INFO - Epoch(train) [59][540/660] lr: 4.2096e-03 eta: 7:52:28 time: 1.0293 data_time: 0.0219 memory: 22681 loss: 2.0353 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0353 2022/10/30 10:39:13 - mmengine - INFO - Epoch(train) [59][560/660] lr: 4.2050e-03 eta: 7:52:07 time: 1.0242 data_time: 0.0198 memory: 22681 loss: 2.1015 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1015 2022/10/30 10:39:34 - mmengine - INFO - Epoch(train) [59][580/660] lr: 4.2004e-03 eta: 7:51:46 time: 1.0472 data_time: 0.0246 memory: 22681 loss: 2.0665 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0665 2022/10/30 10:39:54 - mmengine - INFO - Epoch(train) [59][600/660] lr: 4.1958e-03 eta: 7:51:25 time: 1.0307 data_time: 0.0207 memory: 22681 loss: 2.0515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0515 2022/10/30 10:40:15 - mmengine - INFO - Epoch(train) [59][620/660] lr: 4.1912e-03 eta: 7:51:04 time: 1.0238 data_time: 0.0193 memory: 22681 loss: 1.9343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9343 2022/10/30 10:40:35 - mmengine - INFO - Epoch(train) [59][640/660] lr: 4.1866e-03 eta: 7:50:43 time: 1.0272 data_time: 0.0203 memory: 22681 loss: 2.1427 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1427 2022/10/30 10:40:56 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 10:40:56 - mmengine - INFO - Epoch(train) [59][660/660] lr: 4.1821e-03 eta: 7:50:22 time: 1.0135 data_time: 0.0205 memory: 22681 loss: 2.0621 top1_acc: 0.5714 top5_acc: 0.7857 loss_cls: 2.0621 2022/10/30 10:40:58 - mmengine - INFO - Epoch(val) [59][20/194] eta: 0:00:23 time: 0.1366 data_time: 0.0344 memory: 2517 2022/10/30 10:41:01 - mmengine - INFO - Epoch(val) [59][40/194] eta: 0:00:16 time: 0.1088 data_time: 0.0078 memory: 2517 2022/10/30 10:41:03 - mmengine - INFO - Epoch(val) [59][60/194] eta: 0:00:14 time: 0.1087 data_time: 0.0076 memory: 2517 2022/10/30 10:41:05 - mmengine - INFO - Epoch(val) [59][80/194] eta: 0:00:12 time: 0.1094 data_time: 0.0080 memory: 2517 2022/10/30 10:41:07 - mmengine - INFO - Epoch(val) [59][100/194] eta: 0:00:10 time: 0.1091 data_time: 0.0079 memory: 2517 2022/10/30 10:41:09 - mmengine - INFO - Epoch(val) [59][120/194] eta: 0:00:08 time: 0.1087 data_time: 0.0076 memory: 2517 2022/10/30 10:41:12 - mmengine - INFO - Epoch(val) [59][140/194] eta: 0:00:05 time: 0.1087 data_time: 0.0078 memory: 2517 2022/10/30 10:41:14 - mmengine - INFO - Epoch(val) [59][160/194] eta: 0:00:03 time: 0.1083 data_time: 0.0074 memory: 2517 2022/10/30 10:41:16 - mmengine - INFO - Epoch(val) [59][180/194] eta: 0:00:01 time: 0.1083 data_time: 0.0076 memory: 2517 2022/10/30 10:41:19 - mmengine - INFO - Epoch(val) [59][194/194] acc/top1: 0.6561 acc/top5: 0.9020 acc/mean1: 0.5921 2022/10/30 10:41:48 - mmengine - INFO - Epoch(train) [60][20/660] lr: 4.1775e-03 eta: 7:50:07 time: 1.4669 data_time: 0.2546 memory: 22681 loss: 1.9327 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9327 2022/10/30 10:42:09 - mmengine - INFO - Epoch(train) [60][40/660] lr: 4.1729e-03 eta: 7:49:46 time: 1.0200 data_time: 0.0195 memory: 22681 loss: 1.9936 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9936 2022/10/30 10:42:29 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 10:42:29 - mmengine - INFO - Epoch(train) [60][60/660] lr: 4.1683e-03 eta: 7:49:24 time: 1.0211 data_time: 0.0214 memory: 22681 loss: 2.0785 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0785 2022/10/30 10:42:50 - mmengine - INFO - Epoch(train) [60][80/660] lr: 4.1637e-03 eta: 7:49:03 time: 1.0196 data_time: 0.0202 memory: 22681 loss: 2.0683 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0683 2022/10/30 10:43:10 - mmengine - INFO - Epoch(train) [60][100/660] lr: 4.1592e-03 eta: 7:48:42 time: 1.0407 data_time: 0.0251 memory: 22681 loss: 2.0860 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.0860 2022/10/30 10:43:31 - mmengine - INFO - Epoch(train) [60][120/660] lr: 4.1546e-03 eta: 7:48:21 time: 1.0257 data_time: 0.0210 memory: 22681 loss: 1.9897 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9897 2022/10/30 10:43:51 - mmengine - INFO - Epoch(train) [60][140/660] lr: 4.1500e-03 eta: 7:48:00 time: 1.0228 data_time: 0.0197 memory: 22681 loss: 1.9337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9337 2022/10/30 10:44:12 - mmengine - INFO - Epoch(train) [60][160/660] lr: 4.1454e-03 eta: 7:47:39 time: 1.0272 data_time: 0.0193 memory: 22681 loss: 2.0370 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0370 2022/10/30 10:44:33 - mmengine - INFO - Epoch(train) [60][180/660] lr: 4.1409e-03 eta: 7:47:18 time: 1.0389 data_time: 0.0245 memory: 22681 loss: 1.9866 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9866 2022/10/30 10:44:53 - mmengine - INFO - Epoch(train) [60][200/660] lr: 4.1363e-03 eta: 7:46:57 time: 1.0290 data_time: 0.0186 memory: 22681 loss: 1.9180 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9180 2022/10/30 10:45:14 - mmengine - INFO - Epoch(train) [60][220/660] lr: 4.1317e-03 eta: 7:46:36 time: 1.0247 data_time: 0.0189 memory: 22681 loss: 1.9047 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9047 2022/10/30 10:45:34 - mmengine - INFO - Epoch(train) [60][240/660] lr: 4.1271e-03 eta: 7:46:15 time: 1.0277 data_time: 0.0201 memory: 22681 loss: 2.0862 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0862 2022/10/30 10:45:55 - mmengine - INFO - Epoch(train) [60][260/660] lr: 4.1226e-03 eta: 7:45:54 time: 1.0366 data_time: 0.0245 memory: 22681 loss: 1.8731 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8731 2022/10/30 10:46:16 - mmengine - INFO - Epoch(train) [60][280/660] lr: 4.1180e-03 eta: 7:45:33 time: 1.0287 data_time: 0.0186 memory: 22681 loss: 1.9040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9040 2022/10/30 10:46:36 - mmengine - INFO - Epoch(train) [60][300/660] lr: 4.1134e-03 eta: 7:45:12 time: 1.0229 data_time: 0.0187 memory: 22681 loss: 1.9276 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9276 2022/10/30 10:46:57 - mmengine - INFO - Epoch(train) [60][320/660] lr: 4.1089e-03 eta: 7:44:51 time: 1.0232 data_time: 0.0184 memory: 22681 loss: 1.8860 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8860 2022/10/30 10:47:17 - mmengine - INFO - Epoch(train) [60][340/660] lr: 4.1043e-03 eta: 7:44:30 time: 1.0390 data_time: 0.0242 memory: 22681 loss: 2.0092 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0092 2022/10/30 10:47:38 - mmengine - INFO - Epoch(train) [60][360/660] lr: 4.0997e-03 eta: 7:44:09 time: 1.0336 data_time: 0.0207 memory: 22681 loss: 1.9954 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9954 2022/10/30 10:47:59 - mmengine - INFO - Epoch(train) [60][380/660] lr: 4.0952e-03 eta: 7:43:48 time: 1.0246 data_time: 0.0202 memory: 22681 loss: 1.9244 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9244 2022/10/30 10:48:19 - mmengine - INFO - Epoch(train) [60][400/660] lr: 4.0906e-03 eta: 7:43:26 time: 1.0249 data_time: 0.0200 memory: 22681 loss: 1.9681 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9681 2022/10/30 10:48:40 - mmengine - INFO - Epoch(train) [60][420/660] lr: 4.0860e-03 eta: 7:43:06 time: 1.0394 data_time: 0.0243 memory: 22681 loss: 2.0272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0272 2022/10/30 10:49:00 - mmengine - INFO - Epoch(train) [60][440/660] lr: 4.0815e-03 eta: 7:42:44 time: 1.0289 data_time: 0.0193 memory: 22681 loss: 1.9651 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9651 2022/10/30 10:49:21 - mmengine - INFO - Epoch(train) [60][460/660] lr: 4.0769e-03 eta: 7:42:23 time: 1.0262 data_time: 0.0191 memory: 22681 loss: 2.1139 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1139 2022/10/30 10:49:41 - mmengine - INFO - Epoch(train) [60][480/660] lr: 4.0723e-03 eta: 7:42:02 time: 1.0279 data_time: 0.0203 memory: 22681 loss: 2.0474 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0474 2022/10/30 10:50:02 - mmengine - INFO - Epoch(train) [60][500/660] lr: 4.0678e-03 eta: 7:41:41 time: 1.0381 data_time: 0.0246 memory: 22681 loss: 1.9174 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9174 2022/10/30 10:50:23 - mmengine - INFO - Epoch(train) [60][520/660] lr: 4.0632e-03 eta: 7:41:20 time: 1.0282 data_time: 0.0190 memory: 22681 loss: 2.1052 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1052 2022/10/30 10:50:43 - mmengine - INFO - Epoch(train) [60][540/660] lr: 4.0587e-03 eta: 7:40:59 time: 1.0232 data_time: 0.0187 memory: 22681 loss: 2.0160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0160 2022/10/30 10:51:04 - mmengine - INFO - Epoch(train) [60][560/660] lr: 4.0541e-03 eta: 7:40:38 time: 1.0242 data_time: 0.0191 memory: 22681 loss: 2.0145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0145 2022/10/30 10:51:25 - mmengine - INFO - Epoch(train) [60][580/660] lr: 4.0495e-03 eta: 7:40:17 time: 1.0406 data_time: 0.0227 memory: 22681 loss: 1.9764 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9764 2022/10/30 10:51:45 - mmengine - INFO - Epoch(train) [60][600/660] lr: 4.0450e-03 eta: 7:39:56 time: 1.0274 data_time: 0.0184 memory: 22681 loss: 2.1020 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1020 2022/10/30 10:52:06 - mmengine - INFO - Epoch(train) [60][620/660] lr: 4.0404e-03 eta: 7:39:35 time: 1.0256 data_time: 0.0185 memory: 22681 loss: 1.8487 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8487 2022/10/30 10:52:26 - mmengine - INFO - Epoch(train) [60][640/660] lr: 4.0359e-03 eta: 7:39:14 time: 1.0207 data_time: 0.0191 memory: 22681 loss: 1.9681 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9681 2022/10/30 10:52:46 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 10:52:46 - mmengine - INFO - Epoch(train) [60][660/660] lr: 4.0313e-03 eta: 7:38:53 time: 1.0142 data_time: 0.0198 memory: 22681 loss: 1.9495 top1_acc: 0.7143 top5_acc: 0.9286 loss_cls: 1.9495 2022/10/30 10:52:46 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/10/30 10:52:50 - mmengine - INFO - Epoch(val) [60][20/194] eta: 0:00:22 time: 0.1265 data_time: 0.0258 memory: 2517 2022/10/30 10:52:52 - mmengine - INFO - Epoch(val) [60][40/194] eta: 0:00:16 time: 0.1086 data_time: 0.0077 memory: 2517 2022/10/30 10:52:54 - mmengine - INFO - Epoch(val) [60][60/194] eta: 0:00:14 time: 0.1091 data_time: 0.0081 memory: 2517 2022/10/30 10:52:57 - mmengine - INFO - Epoch(val) [60][80/194] eta: 0:00:12 time: 0.1083 data_time: 0.0074 memory: 2517 2022/10/30 10:52:59 - mmengine - INFO - Epoch(val) [60][100/194] eta: 0:00:10 time: 0.1077 data_time: 0.0071 memory: 2517 2022/10/30 10:53:01 - mmengine - INFO - Epoch(val) [60][120/194] eta: 0:00:07 time: 0.1076 data_time: 0.0071 memory: 2517 2022/10/30 10:53:03 - mmengine - INFO - Epoch(val) [60][140/194] eta: 0:00:05 time: 0.1080 data_time: 0.0071 memory: 2517 2022/10/30 10:53:05 - mmengine - INFO - Epoch(val) [60][160/194] eta: 0:00:03 time: 0.1075 data_time: 0.0070 memory: 2517 2022/10/30 10:53:07 - mmengine - INFO - Epoch(val) [60][180/194] eta: 0:00:01 time: 0.1073 data_time: 0.0070 memory: 2517 2022/10/30 10:53:10 - mmengine - INFO - Epoch(val) [60][194/194] acc/top1: 0.6583 acc/top5: 0.9046 acc/mean1: 0.5899 2022/10/30 10:53:10 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_58.pth is removed 2022/10/30 10:53:11 - mmengine - INFO - The best checkpoint with 0.6583 acc/top1 at 60 epoch is saved to best_acc/top1_epoch_60.pth. 2022/10/30 10:53:39 - mmengine - INFO - Epoch(train) [61][20/660] lr: 4.0268e-03 eta: 7:38:36 time: 1.3661 data_time: 0.2664 memory: 22681 loss: 2.0583 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0583 2022/10/30 10:53:59 - mmengine - INFO - Epoch(train) [61][40/660] lr: 4.0222e-03 eta: 7:38:15 time: 1.0281 data_time: 0.0209 memory: 22681 loss: 1.9519 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9519 2022/10/30 10:54:20 - mmengine - INFO - Epoch(train) [61][60/660] lr: 4.0177e-03 eta: 7:37:54 time: 1.0255 data_time: 0.0190 memory: 22681 loss: 1.9281 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9281 2022/10/30 10:54:40 - mmengine - INFO - Epoch(train) [61][80/660] lr: 4.0131e-03 eta: 7:37:33 time: 1.0278 data_time: 0.0181 memory: 22681 loss: 1.9765 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9765 2022/10/30 10:55:01 - mmengine - INFO - Epoch(train) [61][100/660] lr: 4.0086e-03 eta: 7:37:12 time: 1.0500 data_time: 0.0205 memory: 22681 loss: 1.9831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9831 2022/10/30 10:55:22 - mmengine - INFO - Epoch(train) [61][120/660] lr: 4.0040e-03 eta: 7:36:51 time: 1.0326 data_time: 0.0224 memory: 22681 loss: 1.8278 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8278 2022/10/30 10:55:42 - mmengine - INFO - Epoch(train) [61][140/660] lr: 3.9995e-03 eta: 7:36:30 time: 1.0223 data_time: 0.0184 memory: 22681 loss: 2.0448 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0448 2022/10/30 10:56:03 - mmengine - INFO - Epoch(train) [61][160/660] lr: 3.9949e-03 eta: 7:36:09 time: 1.0225 data_time: 0.0181 memory: 22681 loss: 2.0156 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0156 2022/10/30 10:56:24 - mmengine - INFO - Epoch(train) [61][180/660] lr: 3.9904e-03 eta: 7:35:48 time: 1.0407 data_time: 0.0208 memory: 22681 loss: 2.0494 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0494 2022/10/30 10:56:44 - mmengine - INFO - Epoch(train) [61][200/660] lr: 3.9858e-03 eta: 7:35:27 time: 1.0285 data_time: 0.0218 memory: 22681 loss: 1.7826 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7826 2022/10/30 10:57:05 - mmengine - INFO - Epoch(train) [61][220/660] lr: 3.9813e-03 eta: 7:35:06 time: 1.0259 data_time: 0.0184 memory: 22681 loss: 1.7673 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7673 2022/10/30 10:57:25 - mmengine - INFO - Epoch(train) [61][240/660] lr: 3.9768e-03 eta: 7:34:45 time: 1.0255 data_time: 0.0180 memory: 22681 loss: 2.0935 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0935 2022/10/30 10:57:46 - mmengine - INFO - Epoch(train) [61][260/660] lr: 3.9722e-03 eta: 7:34:24 time: 1.0482 data_time: 0.0190 memory: 22681 loss: 2.0066 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0066 2022/10/30 10:58:07 - mmengine - INFO - Epoch(train) [61][280/660] lr: 3.9677e-03 eta: 7:34:03 time: 1.0337 data_time: 0.0232 memory: 22681 loss: 2.0604 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0604 2022/10/30 10:58:27 - mmengine - INFO - Epoch(train) [61][300/660] lr: 3.9631e-03 eta: 7:33:42 time: 1.0320 data_time: 0.0195 memory: 22681 loss: 1.8836 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8836 2022/10/30 10:58:48 - mmengine - INFO - Epoch(train) [61][320/660] lr: 3.9586e-03 eta: 7:33:21 time: 1.0315 data_time: 0.0183 memory: 22681 loss: 1.9579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9579 2022/10/30 10:59:09 - mmengine - INFO - Epoch(train) [61][340/660] lr: 3.9541e-03 eta: 7:33:00 time: 1.0497 data_time: 0.0199 memory: 22681 loss: 1.8788 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8788 2022/10/30 10:59:30 - mmengine - INFO - Epoch(train) [61][360/660] lr: 3.9495e-03 eta: 7:32:39 time: 1.0384 data_time: 0.0240 memory: 22681 loss: 1.8915 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8915 2022/10/30 10:59:51 - mmengine - INFO - Epoch(train) [61][380/660] lr: 3.9450e-03 eta: 7:32:18 time: 1.0338 data_time: 0.0201 memory: 22681 loss: 1.9168 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9168 2022/10/30 11:00:11 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 11:00:11 - mmengine - INFO - Epoch(train) [61][400/660] lr: 3.9405e-03 eta: 7:31:57 time: 1.0303 data_time: 0.0183 memory: 22681 loss: 2.1184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1184 2022/10/30 11:00:32 - mmengine - INFO - Epoch(train) [61][420/660] lr: 3.9359e-03 eta: 7:31:36 time: 1.0515 data_time: 0.0196 memory: 22681 loss: 1.9607 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9607 2022/10/30 11:00:53 - mmengine - INFO - Epoch(train) [61][440/660] lr: 3.9314e-03 eta: 7:31:16 time: 1.0436 data_time: 0.0234 memory: 22681 loss: 2.0149 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0149 2022/10/30 11:01:14 - mmengine - INFO - Epoch(train) [61][460/660] lr: 3.9269e-03 eta: 7:30:55 time: 1.0346 data_time: 0.0190 memory: 22681 loss: 1.9019 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9019 2022/10/30 11:01:34 - mmengine - INFO - Epoch(train) [61][480/660] lr: 3.9224e-03 eta: 7:30:34 time: 1.0296 data_time: 0.0188 memory: 22681 loss: 1.9986 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9986 2022/10/30 11:01:55 - mmengine - INFO - Epoch(train) [61][500/660] lr: 3.9178e-03 eta: 7:30:13 time: 1.0466 data_time: 0.0196 memory: 22681 loss: 1.9420 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9420 2022/10/30 11:02:16 - mmengine - INFO - Epoch(train) [61][520/660] lr: 3.9133e-03 eta: 7:29:52 time: 1.0387 data_time: 0.0220 memory: 22681 loss: 2.1039 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1039 2022/10/30 11:02:37 - mmengine - INFO - Epoch(train) [61][540/660] lr: 3.9088e-03 eta: 7:29:31 time: 1.0321 data_time: 0.0181 memory: 22681 loss: 1.9354 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9354 2022/10/30 11:02:57 - mmengine - INFO - Epoch(train) [61][560/660] lr: 3.9043e-03 eta: 7:29:10 time: 1.0302 data_time: 0.0174 memory: 22681 loss: 1.8912 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8912 2022/10/30 11:03:18 - mmengine - INFO - Epoch(train) [61][580/660] lr: 3.8997e-03 eta: 7:28:49 time: 1.0443 data_time: 0.0177 memory: 22681 loss: 1.9385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9385 2022/10/30 11:03:39 - mmengine - INFO - Epoch(train) [61][600/660] lr: 3.8952e-03 eta: 7:28:28 time: 1.0414 data_time: 0.0229 memory: 22681 loss: 1.8998 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8998 2022/10/30 11:04:00 - mmengine - INFO - Epoch(train) [61][620/660] lr: 3.8907e-03 eta: 7:28:07 time: 1.0304 data_time: 0.0183 memory: 22681 loss: 2.0342 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0342 2022/10/30 11:04:20 - mmengine - INFO - Epoch(train) [61][640/660] lr: 3.8862e-03 eta: 7:27:46 time: 1.0248 data_time: 0.0183 memory: 22681 loss: 1.9895 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9895 2022/10/30 11:04:41 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 11:04:41 - mmengine - INFO - Epoch(train) [61][660/660] lr: 3.8816e-03 eta: 7:27:25 time: 1.0191 data_time: 0.0186 memory: 22681 loss: 2.0280 top1_acc: 0.7857 top5_acc: 1.0000 loss_cls: 2.0280 2022/10/30 11:04:43 - mmengine - INFO - Epoch(val) [61][20/194] eta: 0:00:23 time: 0.1347 data_time: 0.0331 memory: 2517 2022/10/30 11:04:45 - mmengine - INFO - Epoch(val) [61][40/194] eta: 0:00:16 time: 0.1087 data_time: 0.0077 memory: 2517 2022/10/30 11:04:48 - mmengine - INFO - Epoch(val) [61][60/194] eta: 0:00:14 time: 0.1093 data_time: 0.0078 memory: 2517 2022/10/30 11:04:50 - mmengine - INFO - Epoch(val) [61][80/194] eta: 0:00:12 time: 0.1101 data_time: 0.0084 memory: 2517 2022/10/30 11:04:52 - mmengine - INFO - Epoch(val) [61][100/194] eta: 0:00:10 time: 0.1093 data_time: 0.0078 memory: 2517 2022/10/30 11:04:54 - mmengine - INFO - Epoch(val) [61][120/194] eta: 0:00:08 time: 0.1095 data_time: 0.0079 memory: 2517 2022/10/30 11:04:56 - mmengine - INFO - Epoch(val) [61][140/194] eta: 0:00:05 time: 0.1101 data_time: 0.0082 memory: 2517 2022/10/30 11:04:59 - mmengine - INFO - Epoch(val) [61][160/194] eta: 0:00:03 time: 0.1094 data_time: 0.0079 memory: 2517 2022/10/30 11:05:01 - mmengine - INFO - Epoch(val) [61][180/194] eta: 0:00:01 time: 0.1103 data_time: 0.0079 memory: 2517 2022/10/30 11:05:04 - mmengine - INFO - Epoch(val) [61][194/194] acc/top1: 0.6593 acc/top5: 0.9043 acc/mean1: 0.5933 2022/10/30 11:05:04 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_60.pth is removed 2022/10/30 11:05:06 - mmengine - INFO - The best checkpoint with 0.6593 acc/top1 at 61 epoch is saved to best_acc/top1_epoch_61.pth. 2022/10/30 11:05:34 - mmengine - INFO - Epoch(train) [62][20/660] lr: 3.8771e-03 eta: 7:27:09 time: 1.4107 data_time: 0.3030 memory: 22681 loss: 1.8085 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8085 2022/10/30 11:05:54 - mmengine - INFO - Epoch(train) [62][40/660] lr: 3.8726e-03 eta: 7:26:48 time: 1.0234 data_time: 0.0185 memory: 22681 loss: 1.8891 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8891 2022/10/30 11:06:15 - mmengine - INFO - Epoch(train) [62][60/660] lr: 3.8681e-03 eta: 7:26:26 time: 1.0208 data_time: 0.0177 memory: 22681 loss: 1.9352 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.9352 2022/10/30 11:06:35 - mmengine - INFO - Epoch(train) [62][80/660] lr: 3.8636e-03 eta: 7:26:05 time: 1.0225 data_time: 0.0194 memory: 22681 loss: 2.1189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1189 2022/10/30 11:06:56 - mmengine - INFO - Epoch(train) [62][100/660] lr: 3.8591e-03 eta: 7:25:44 time: 1.0408 data_time: 0.0242 memory: 22681 loss: 2.0537 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0537 2022/10/30 11:07:17 - mmengine - INFO - Epoch(train) [62][120/660] lr: 3.8546e-03 eta: 7:25:23 time: 1.0294 data_time: 0.0196 memory: 22681 loss: 2.1165 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1165 2022/10/30 11:07:37 - mmengine - INFO - Epoch(train) [62][140/660] lr: 3.8500e-03 eta: 7:25:02 time: 1.0223 data_time: 0.0190 memory: 22681 loss: 1.9507 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9507 2022/10/30 11:07:58 - mmengine - INFO - Epoch(train) [62][160/660] lr: 3.8455e-03 eta: 7:24:41 time: 1.0263 data_time: 0.0194 memory: 22681 loss: 1.8905 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8905 2022/10/30 11:08:18 - mmengine - INFO - Epoch(train) [62][180/660] lr: 3.8410e-03 eta: 7:24:20 time: 1.0424 data_time: 0.0251 memory: 22681 loss: 1.9542 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9542 2022/10/30 11:08:39 - mmengine - INFO - Epoch(train) [62][200/660] lr: 3.8365e-03 eta: 7:23:59 time: 1.0345 data_time: 0.0206 memory: 22681 loss: 1.8980 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8980 2022/10/30 11:09:00 - mmengine - INFO - Epoch(train) [62][220/660] lr: 3.8320e-03 eta: 7:23:38 time: 1.0274 data_time: 0.0196 memory: 22681 loss: 2.0212 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0212 2022/10/30 11:09:20 - mmengine - INFO - Epoch(train) [62][240/660] lr: 3.8275e-03 eta: 7:23:17 time: 1.0272 data_time: 0.0196 memory: 22681 loss: 2.0351 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0351 2022/10/30 11:09:41 - mmengine - INFO - Epoch(train) [62][260/660] lr: 3.8230e-03 eta: 7:22:57 time: 1.0537 data_time: 0.0242 memory: 22681 loss: 1.9002 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9002 2022/10/30 11:10:02 - mmengine - INFO - Epoch(train) [62][280/660] lr: 3.8185e-03 eta: 7:22:36 time: 1.0347 data_time: 0.0200 memory: 22681 loss: 1.9335 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.9335 2022/10/30 11:10:23 - mmengine - INFO - Epoch(train) [62][300/660] lr: 3.8140e-03 eta: 7:22:14 time: 1.0257 data_time: 0.0185 memory: 22681 loss: 1.8773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8773 2022/10/30 11:10:43 - mmengine - INFO - Epoch(train) [62][320/660] lr: 3.8095e-03 eta: 7:21:53 time: 1.0271 data_time: 0.0192 memory: 22681 loss: 1.8913 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8913 2022/10/30 11:11:04 - mmengine - INFO - Epoch(train) [62][340/660] lr: 3.8050e-03 eta: 7:21:33 time: 1.0448 data_time: 0.0234 memory: 22681 loss: 2.0144 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.0144 2022/10/30 11:11:25 - mmengine - INFO - Epoch(train) [62][360/660] lr: 3.8005e-03 eta: 7:21:12 time: 1.0350 data_time: 0.0206 memory: 22681 loss: 1.9997 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9997 2022/10/30 11:11:45 - mmengine - INFO - Epoch(train) [62][380/660] lr: 3.7960e-03 eta: 7:20:51 time: 1.0285 data_time: 0.0183 memory: 22681 loss: 1.8840 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8840 2022/10/30 11:12:06 - mmengine - INFO - Epoch(train) [62][400/660] lr: 3.7915e-03 eta: 7:20:30 time: 1.0323 data_time: 0.0201 memory: 22681 loss: 2.0411 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0411 2022/10/30 11:12:27 - mmengine - INFO - Epoch(train) [62][420/660] lr: 3.7870e-03 eta: 7:20:09 time: 1.0457 data_time: 0.0248 memory: 22681 loss: 1.8667 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8667 2022/10/30 11:12:48 - mmengine - INFO - Epoch(train) [62][440/660] lr: 3.7825e-03 eta: 7:19:48 time: 1.0336 data_time: 0.0210 memory: 22681 loss: 1.8662 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8662 2022/10/30 11:13:08 - mmengine - INFO - Epoch(train) [62][460/660] lr: 3.7780e-03 eta: 7:19:27 time: 1.0261 data_time: 0.0192 memory: 22681 loss: 1.9515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9515 2022/10/30 11:13:29 - mmengine - INFO - Epoch(train) [62][480/660] lr: 3.7735e-03 eta: 7:19:06 time: 1.0257 data_time: 0.0196 memory: 22681 loss: 2.1118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1118 2022/10/30 11:13:49 - mmengine - INFO - Epoch(train) [62][500/660] lr: 3.7690e-03 eta: 7:18:45 time: 1.0431 data_time: 0.0234 memory: 22681 loss: 1.9296 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9296 2022/10/30 11:14:10 - mmengine - INFO - Epoch(train) [62][520/660] lr: 3.7646e-03 eta: 7:18:24 time: 1.0385 data_time: 0.0206 memory: 22681 loss: 1.9354 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9354 2022/10/30 11:14:31 - mmengine - INFO - Epoch(train) [62][540/660] lr: 3.7601e-03 eta: 7:18:03 time: 1.0276 data_time: 0.0210 memory: 22681 loss: 2.0327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0327 2022/10/30 11:14:51 - mmengine - INFO - Epoch(train) [62][560/660] lr: 3.7556e-03 eta: 7:17:42 time: 1.0262 data_time: 0.0194 memory: 22681 loss: 1.9539 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9539 2022/10/30 11:15:12 - mmengine - INFO - Epoch(train) [62][580/660] lr: 3.7511e-03 eta: 7:17:21 time: 1.0408 data_time: 0.0237 memory: 22681 loss: 1.8147 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8147 2022/10/30 11:15:33 - mmengine - INFO - Epoch(train) [62][600/660] lr: 3.7466e-03 eta: 7:17:00 time: 1.0367 data_time: 0.0200 memory: 22681 loss: 1.9720 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9720 2022/10/30 11:15:53 - mmengine - INFO - Epoch(train) [62][620/660] lr: 3.7421e-03 eta: 7:16:39 time: 1.0267 data_time: 0.0188 memory: 22681 loss: 1.9918 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9918 2022/10/30 11:16:14 - mmengine - INFO - Epoch(train) [62][640/660] lr: 3.7376e-03 eta: 7:16:18 time: 1.0245 data_time: 0.0205 memory: 22681 loss: 2.0264 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0264 2022/10/30 11:16:34 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 11:16:34 - mmengine - INFO - Epoch(train) [62][660/660] lr: 3.7332e-03 eta: 7:15:57 time: 1.0136 data_time: 0.0227 memory: 22681 loss: 1.8359 top1_acc: 0.7143 top5_acc: 0.9286 loss_cls: 1.8359 2022/10/30 11:16:37 - mmengine - INFO - Epoch(val) [62][20/194] eta: 0:00:23 time: 0.1340 data_time: 0.0308 memory: 2517 2022/10/30 11:16:39 - mmengine - INFO - Epoch(val) [62][40/194] eta: 0:00:17 time: 0.1107 data_time: 0.0080 memory: 2517 2022/10/30 11:16:41 - mmengine - INFO - Epoch(val) [62][60/194] eta: 0:00:14 time: 0.1108 data_time: 0.0081 memory: 2517 2022/10/30 11:16:43 - mmengine - INFO - Epoch(val) [62][80/194] eta: 0:00:12 time: 0.1099 data_time: 0.0086 memory: 2517 2022/10/30 11:16:46 - mmengine - INFO - Epoch(val) [62][100/194] eta: 0:00:10 time: 0.1084 data_time: 0.0073 memory: 2517 2022/10/30 11:16:48 - mmengine - INFO - Epoch(val) [62][120/194] eta: 0:00:08 time: 0.1091 data_time: 0.0076 memory: 2517 2022/10/30 11:16:50 - mmengine - INFO - Epoch(val) [62][140/194] eta: 0:00:05 time: 0.1086 data_time: 0.0075 memory: 2517 2022/10/30 11:16:52 - mmengine - INFO - Epoch(val) [62][160/194] eta: 0:00:03 time: 0.1083 data_time: 0.0072 memory: 2517 2022/10/30 11:16:54 - mmengine - INFO - Epoch(val) [62][180/194] eta: 0:00:01 time: 0.1082 data_time: 0.0073 memory: 2517 2022/10/30 11:16:57 - mmengine - INFO - Epoch(val) [62][194/194] acc/top1: 0.6586 acc/top5: 0.9039 acc/mean1: 0.5939 2022/10/30 11:17:27 - mmengine - INFO - Epoch(train) [63][20/660] lr: 3.7287e-03 eta: 7:15:41 time: 1.4960 data_time: 0.2291 memory: 22681 loss: 1.9325 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9325 2022/10/30 11:17:48 - mmengine - INFO - Epoch(train) [63][40/660] lr: 3.7242e-03 eta: 7:15:20 time: 1.0203 data_time: 0.0183 memory: 22681 loss: 2.0503 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0503 2022/10/30 11:18:08 - mmengine - INFO - Epoch(train) [63][60/660] lr: 3.7197e-03 eta: 7:14:59 time: 1.0241 data_time: 0.0193 memory: 22681 loss: 1.9688 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9688 2022/10/30 11:18:29 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 11:18:29 - mmengine - INFO - Epoch(train) [63][80/660] lr: 3.7153e-03 eta: 7:14:38 time: 1.0193 data_time: 0.0192 memory: 22681 loss: 1.9656 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9656 2022/10/30 11:18:49 - mmengine - INFO - Epoch(train) [63][100/660] lr: 3.7108e-03 eta: 7:14:17 time: 1.0382 data_time: 0.0262 memory: 22681 loss: 1.9725 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9725 2022/10/30 11:19:10 - mmengine - INFO - Epoch(train) [63][120/660] lr: 3.7063e-03 eta: 7:13:56 time: 1.0234 data_time: 0.0239 memory: 22681 loss: 1.9617 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9617 2022/10/30 11:19:30 - mmengine - INFO - Epoch(train) [63][140/660] lr: 3.7018e-03 eta: 7:13:35 time: 1.0267 data_time: 0.0191 memory: 22681 loss: 1.9885 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9885 2022/10/30 11:19:51 - mmengine - INFO - Epoch(train) [63][160/660] lr: 3.6974e-03 eta: 7:13:14 time: 1.0271 data_time: 0.0190 memory: 22681 loss: 1.9455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9455 2022/10/30 11:20:12 - mmengine - INFO - Epoch(train) [63][180/660] lr: 3.6929e-03 eta: 7:12:53 time: 1.0400 data_time: 0.0242 memory: 22681 loss: 1.9103 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9103 2022/10/30 11:20:32 - mmengine - INFO - Epoch(train) [63][200/660] lr: 3.6884e-03 eta: 7:12:32 time: 1.0202 data_time: 0.0190 memory: 22681 loss: 2.0699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0699 2022/10/30 11:20:53 - mmengine - INFO - Epoch(train) [63][220/660] lr: 3.6840e-03 eta: 7:12:11 time: 1.0238 data_time: 0.0189 memory: 22681 loss: 2.0589 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0589 2022/10/30 11:21:13 - mmengine - INFO - Epoch(train) [63][240/660] lr: 3.6795e-03 eta: 7:11:49 time: 1.0187 data_time: 0.0192 memory: 22681 loss: 1.9967 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9967 2022/10/30 11:21:34 - mmengine - INFO - Epoch(train) [63][260/660] lr: 3.6750e-03 eta: 7:11:28 time: 1.0369 data_time: 0.0248 memory: 22681 loss: 2.0233 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0233 2022/10/30 11:21:54 - mmengine - INFO - Epoch(train) [63][280/660] lr: 3.6706e-03 eta: 7:11:07 time: 1.0268 data_time: 0.0193 memory: 22681 loss: 1.9449 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9449 2022/10/30 11:22:15 - mmengine - INFO - Epoch(train) [63][300/660] lr: 3.6661e-03 eta: 7:10:46 time: 1.0243 data_time: 0.0193 memory: 22681 loss: 1.8339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8339 2022/10/30 11:22:35 - mmengine - INFO - Epoch(train) [63][320/660] lr: 3.6617e-03 eta: 7:10:25 time: 1.0214 data_time: 0.0195 memory: 22681 loss: 2.1535 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1535 2022/10/30 11:22:56 - mmengine - INFO - Epoch(train) [63][340/660] lr: 3.6572e-03 eta: 7:10:04 time: 1.0382 data_time: 0.0250 memory: 22681 loss: 2.0740 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0740 2022/10/30 11:23:16 - mmengine - INFO - Epoch(train) [63][360/660] lr: 3.6527e-03 eta: 7:09:43 time: 1.0279 data_time: 0.0179 memory: 22681 loss: 2.0553 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0553 2022/10/30 11:23:37 - mmengine - INFO - Epoch(train) [63][380/660] lr: 3.6483e-03 eta: 7:09:22 time: 1.0232 data_time: 0.0186 memory: 22681 loss: 1.9788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9788 2022/10/30 11:23:57 - mmengine - INFO - Epoch(train) [63][400/660] lr: 3.6438e-03 eta: 7:09:01 time: 1.0216 data_time: 0.0186 memory: 22681 loss: 1.9367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9367 2022/10/30 11:24:18 - mmengine - INFO - Epoch(train) [63][420/660] lr: 3.6394e-03 eta: 7:08:40 time: 1.0366 data_time: 0.0241 memory: 22681 loss: 2.0305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0305 2022/10/30 11:24:39 - mmengine - INFO - Epoch(train) [63][440/660] lr: 3.6349e-03 eta: 7:08:19 time: 1.0231 data_time: 0.0199 memory: 22681 loss: 1.9856 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9856 2022/10/30 11:24:59 - mmengine - INFO - Epoch(train) [63][460/660] lr: 3.6305e-03 eta: 7:07:58 time: 1.0218 data_time: 0.0192 memory: 22681 loss: 2.0087 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0087 2022/10/30 11:25:19 - mmengine - INFO - Epoch(train) [63][480/660] lr: 3.6260e-03 eta: 7:07:37 time: 1.0221 data_time: 0.0197 memory: 22681 loss: 1.9572 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9572 2022/10/30 11:25:40 - mmengine - INFO - Epoch(train) [63][500/660] lr: 3.6216e-03 eta: 7:07:16 time: 1.0412 data_time: 0.0251 memory: 22681 loss: 1.9981 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9981 2022/10/30 11:26:01 - mmengine - INFO - Epoch(train) [63][520/660] lr: 3.6171e-03 eta: 7:06:55 time: 1.0268 data_time: 0.0192 memory: 22681 loss: 2.0998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0998 2022/10/30 11:26:21 - mmengine - INFO - Epoch(train) [63][540/660] lr: 3.6127e-03 eta: 7:06:34 time: 1.0299 data_time: 0.0197 memory: 22681 loss: 2.0628 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0628 2022/10/30 11:26:42 - mmengine - INFO - Epoch(train) [63][560/660] lr: 3.6082e-03 eta: 7:06:13 time: 1.0245 data_time: 0.0189 memory: 22681 loss: 2.1386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1386 2022/10/30 11:27:03 - mmengine - INFO - Epoch(train) [63][580/660] lr: 3.6038e-03 eta: 7:05:52 time: 1.0391 data_time: 0.0245 memory: 22681 loss: 1.8651 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8651 2022/10/30 11:27:23 - mmengine - INFO - Epoch(train) [63][600/660] lr: 3.5994e-03 eta: 7:05:31 time: 1.0293 data_time: 0.0190 memory: 22681 loss: 1.9811 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9811 2022/10/30 11:27:44 - mmengine - INFO - Epoch(train) [63][620/660] lr: 3.5949e-03 eta: 7:05:10 time: 1.0277 data_time: 0.0183 memory: 22681 loss: 1.9545 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9545 2022/10/30 11:28:04 - mmengine - INFO - Epoch(train) [63][640/660] lr: 3.5905e-03 eta: 7:04:49 time: 1.0230 data_time: 0.0192 memory: 22681 loss: 2.0297 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0297 2022/10/30 11:28:25 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 11:28:25 - mmengine - INFO - Epoch(train) [63][660/660] lr: 3.5860e-03 eta: 7:04:27 time: 1.0120 data_time: 0.0211 memory: 22681 loss: 1.9572 top1_acc: 0.7857 top5_acc: 0.8571 loss_cls: 1.9572 2022/10/30 11:28:25 - mmengine - INFO - Saving checkpoint at 63 epochs 2022/10/30 11:28:28 - mmengine - INFO - Epoch(val) [63][20/194] eta: 0:00:22 time: 0.1271 data_time: 0.0252 memory: 2517 2022/10/30 11:28:30 - mmengine - INFO - Epoch(val) [63][40/194] eta: 0:00:16 time: 0.1096 data_time: 0.0076 memory: 2517 2022/10/30 11:28:33 - mmengine - INFO - Epoch(val) [63][60/194] eta: 0:00:14 time: 0.1110 data_time: 0.0089 memory: 2517 2022/10/30 11:28:35 - mmengine - INFO - Epoch(val) [63][80/194] eta: 0:00:12 time: 0.1091 data_time: 0.0077 memory: 2517 2022/10/30 11:28:37 - mmengine - INFO - Epoch(val) [63][100/194] eta: 0:00:10 time: 0.1083 data_time: 0.0070 memory: 2517 2022/10/30 11:28:39 - mmengine - INFO - Epoch(val) [63][120/194] eta: 0:00:08 time: 0.1093 data_time: 0.0074 memory: 2517 2022/10/30 11:28:41 - mmengine - INFO - Epoch(val) [63][140/194] eta: 0:00:05 time: 0.1095 data_time: 0.0077 memory: 2517 2022/10/30 11:28:44 - mmengine - INFO - Epoch(val) [63][160/194] eta: 0:00:03 time: 0.1084 data_time: 0.0073 memory: 2517 2022/10/30 11:28:46 - mmengine - INFO - Epoch(val) [63][180/194] eta: 0:00:01 time: 0.1077 data_time: 0.0071 memory: 2517 2022/10/30 11:28:48 - mmengine - INFO - Epoch(val) [63][194/194] acc/top1: 0.6611 acc/top5: 0.9055 acc/mean1: 0.5941 2022/10/30 11:28:48 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_61.pth is removed 2022/10/30 11:28:49 - mmengine - INFO - The best checkpoint with 0.6611 acc/top1 at 63 epoch is saved to best_acc/top1_epoch_63.pth. 2022/10/30 11:29:17 - mmengine - INFO - Epoch(train) [64][20/660] lr: 3.5816e-03 eta: 7:04:10 time: 1.3685 data_time: 0.2569 memory: 22681 loss: 1.8478 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8478 2022/10/30 11:29:37 - mmengine - INFO - Epoch(train) [64][40/660] lr: 3.5772e-03 eta: 7:03:49 time: 1.0241 data_time: 0.0199 memory: 22681 loss: 1.8311 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8311 2022/10/30 11:29:58 - mmengine - INFO - Epoch(train) [64][60/660] lr: 3.5727e-03 eta: 7:03:28 time: 1.0229 data_time: 0.0192 memory: 22681 loss: 1.9486 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9486 2022/10/30 11:30:18 - mmengine - INFO - Epoch(train) [64][80/660] lr: 3.5683e-03 eta: 7:03:07 time: 1.0267 data_time: 0.0197 memory: 22681 loss: 1.9681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9681 2022/10/30 11:30:39 - mmengine - INFO - Epoch(train) [64][100/660] lr: 3.5639e-03 eta: 7:02:46 time: 1.0387 data_time: 0.0241 memory: 22681 loss: 1.8155 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8155 2022/10/30 11:31:00 - mmengine - INFO - Epoch(train) [64][120/660] lr: 3.5594e-03 eta: 7:02:25 time: 1.0270 data_time: 0.0191 memory: 22681 loss: 1.8377 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8377 2022/10/30 11:31:20 - mmengine - INFO - Epoch(train) [64][140/660] lr: 3.5550e-03 eta: 7:02:04 time: 1.0256 data_time: 0.0189 memory: 22681 loss: 1.8753 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8753 2022/10/30 11:31:41 - mmengine - INFO - Epoch(train) [64][160/660] lr: 3.5506e-03 eta: 7:01:43 time: 1.0241 data_time: 0.0197 memory: 22681 loss: 1.8144 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8144 2022/10/30 11:32:02 - mmengine - INFO - Epoch(train) [64][180/660] lr: 3.5462e-03 eta: 7:01:22 time: 1.0446 data_time: 0.0235 memory: 22681 loss: 1.8592 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8592 2022/10/30 11:32:22 - mmengine - INFO - Epoch(train) [64][200/660] lr: 3.5417e-03 eta: 7:01:01 time: 1.0320 data_time: 0.0188 memory: 22681 loss: 1.9964 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9964 2022/10/30 11:32:43 - mmengine - INFO - Epoch(train) [64][220/660] lr: 3.5373e-03 eta: 7:00:40 time: 1.0292 data_time: 0.0188 memory: 22681 loss: 1.9994 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9994 2022/10/30 11:33:03 - mmengine - INFO - Epoch(train) [64][240/660] lr: 3.5329e-03 eta: 7:00:19 time: 1.0316 data_time: 0.0206 memory: 22681 loss: 1.8764 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8764 2022/10/30 11:33:24 - mmengine - INFO - Epoch(train) [64][260/660] lr: 3.5285e-03 eta: 6:59:58 time: 1.0425 data_time: 0.0252 memory: 22681 loss: 1.9577 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9577 2022/10/30 11:33:45 - mmengine - INFO - Epoch(train) [64][280/660] lr: 3.5241e-03 eta: 6:59:37 time: 1.0302 data_time: 0.0189 memory: 22681 loss: 1.9922 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9922 2022/10/30 11:34:05 - mmengine - INFO - Epoch(train) [64][300/660] lr: 3.5196e-03 eta: 6:59:16 time: 1.0257 data_time: 0.0188 memory: 22681 loss: 2.0237 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0237 2022/10/30 11:34:26 - mmengine - INFO - Epoch(train) [64][320/660] lr: 3.5152e-03 eta: 6:58:55 time: 1.0246 data_time: 0.0180 memory: 22681 loss: 1.9394 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9394 2022/10/30 11:34:47 - mmengine - INFO - Epoch(train) [64][340/660] lr: 3.5108e-03 eta: 6:58:34 time: 1.0404 data_time: 0.0254 memory: 22681 loss: 2.0381 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0381 2022/10/30 11:35:07 - mmengine - INFO - Epoch(train) [64][360/660] lr: 3.5064e-03 eta: 6:58:13 time: 1.0309 data_time: 0.0200 memory: 22681 loss: 1.8842 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8842 2022/10/30 11:35:28 - mmengine - INFO - Epoch(train) [64][380/660] lr: 3.5020e-03 eta: 6:57:52 time: 1.0280 data_time: 0.0197 memory: 22681 loss: 1.9744 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9744 2022/10/30 11:35:48 - mmengine - INFO - Epoch(train) [64][400/660] lr: 3.4976e-03 eta: 6:57:31 time: 1.0257 data_time: 0.0204 memory: 22681 loss: 1.8713 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8713 2022/10/30 11:36:09 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 11:36:09 - mmengine - INFO - Epoch(train) [64][420/660] lr: 3.4932e-03 eta: 6:57:10 time: 1.0418 data_time: 0.0244 memory: 22681 loss: 1.9596 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9596 2022/10/30 11:36:30 - mmengine - INFO - Epoch(train) [64][440/660] lr: 3.4888e-03 eta: 6:56:49 time: 1.0321 data_time: 0.0195 memory: 22681 loss: 1.8959 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8959 2022/10/30 11:36:51 - mmengine - INFO - Epoch(train) [64][460/660] lr: 3.4844e-03 eta: 6:56:28 time: 1.0334 data_time: 0.0234 memory: 22681 loss: 1.9444 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9444 2022/10/30 11:37:11 - mmengine - INFO - Epoch(train) [64][480/660] lr: 3.4800e-03 eta: 6:56:07 time: 1.0263 data_time: 0.0203 memory: 22681 loss: 1.8928 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8928 2022/10/30 11:37:32 - mmengine - INFO - Epoch(train) [64][500/660] lr: 3.4756e-03 eta: 6:55:47 time: 1.0406 data_time: 0.0241 memory: 22681 loss: 1.8930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8930 2022/10/30 11:37:53 - mmengine - INFO - Epoch(train) [64][520/660] lr: 3.4712e-03 eta: 6:55:26 time: 1.0356 data_time: 0.0199 memory: 22681 loss: 1.9184 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9184 2022/10/30 11:38:13 - mmengine - INFO - Epoch(train) [64][540/660] lr: 3.4668e-03 eta: 6:55:05 time: 1.0315 data_time: 0.0207 memory: 22681 loss: 1.9807 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9807 2022/10/30 11:38:34 - mmengine - INFO - Epoch(train) [64][560/660] lr: 3.4624e-03 eta: 6:54:44 time: 1.0267 data_time: 0.0198 memory: 22681 loss: 1.9702 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9702 2022/10/30 11:38:55 - mmengine - INFO - Epoch(train) [64][580/660] lr: 3.4580e-03 eta: 6:54:23 time: 1.0426 data_time: 0.0248 memory: 22681 loss: 2.0331 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0331 2022/10/30 11:39:15 - mmengine - INFO - Epoch(train) [64][600/660] lr: 3.4536e-03 eta: 6:54:02 time: 1.0324 data_time: 0.0192 memory: 22681 loss: 2.0208 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0208 2022/10/30 11:39:36 - mmengine - INFO - Epoch(train) [64][620/660] lr: 3.4492e-03 eta: 6:53:41 time: 1.0270 data_time: 0.0193 memory: 22681 loss: 1.8831 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8831 2022/10/30 11:39:56 - mmengine - INFO - Epoch(train) [64][640/660] lr: 3.4448e-03 eta: 6:53:20 time: 1.0209 data_time: 0.0200 memory: 22681 loss: 1.9854 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9854 2022/10/30 11:40:16 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 11:40:16 - mmengine - INFO - Epoch(train) [64][660/660] lr: 3.4404e-03 eta: 6:52:58 time: 1.0126 data_time: 0.0200 memory: 22681 loss: 1.8773 top1_acc: 0.6429 top5_acc: 0.7857 loss_cls: 1.8773 2022/10/30 11:40:19 - mmengine - INFO - Epoch(val) [64][20/194] eta: 0:00:23 time: 0.1372 data_time: 0.0348 memory: 2517 2022/10/30 11:40:21 - mmengine - INFO - Epoch(val) [64][40/194] eta: 0:00:16 time: 0.1079 data_time: 0.0074 memory: 2517 2022/10/30 11:40:24 - mmengine - INFO - Epoch(val) [64][60/194] eta: 0:00:14 time: 0.1080 data_time: 0.0075 memory: 2517 2022/10/30 11:40:26 - mmengine - INFO - Epoch(val) [64][80/194] eta: 0:00:12 time: 0.1079 data_time: 0.0072 memory: 2517 2022/10/30 11:40:28 - mmengine - INFO - Epoch(val) [64][100/194] eta: 0:00:10 time: 0.1086 data_time: 0.0076 memory: 2517 2022/10/30 11:40:30 - mmengine - INFO - Epoch(val) [64][120/194] eta: 0:00:08 time: 0.1088 data_time: 0.0075 memory: 2517 2022/10/30 11:40:32 - mmengine - INFO - Epoch(val) [64][140/194] eta: 0:00:05 time: 0.1091 data_time: 0.0077 memory: 2517 2022/10/30 11:40:34 - mmengine - INFO - Epoch(val) [64][160/194] eta: 0:00:03 time: 0.1091 data_time: 0.0079 memory: 2517 2022/10/30 11:40:37 - mmengine - INFO - Epoch(val) [64][180/194] eta: 0:00:01 time: 0.1080 data_time: 0.0075 memory: 2517 2022/10/30 11:40:39 - mmengine - INFO - Epoch(val) [64][194/194] acc/top1: 0.6575 acc/top5: 0.9045 acc/mean1: 0.5936 2022/10/30 11:41:09 - mmengine - INFO - Epoch(train) [65][20/660] lr: 3.4360e-03 eta: 6:52:42 time: 1.4740 data_time: 0.2495 memory: 22681 loss: 2.0764 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0764 2022/10/30 11:41:29 - mmengine - INFO - Epoch(train) [65][40/660] lr: 3.4316e-03 eta: 6:52:21 time: 1.0262 data_time: 0.0189 memory: 22681 loss: 1.9195 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.9195 2022/10/30 11:41:50 - mmengine - INFO - Epoch(train) [65][60/660] lr: 3.4272e-03 eta: 6:52:00 time: 1.0209 data_time: 0.0193 memory: 22681 loss: 2.0530 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0530 2022/10/30 11:42:10 - mmengine - INFO - Epoch(train) [65][80/660] lr: 3.4229e-03 eta: 6:51:39 time: 1.0282 data_time: 0.0213 memory: 22681 loss: 1.8901 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8901 2022/10/30 11:42:31 - mmengine - INFO - Epoch(train) [65][100/660] lr: 3.4185e-03 eta: 6:51:18 time: 1.0378 data_time: 0.0235 memory: 22681 loss: 1.8925 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8925 2022/10/30 11:42:52 - mmengine - INFO - Epoch(train) [65][120/660] lr: 3.4141e-03 eta: 6:50:57 time: 1.0276 data_time: 0.0194 memory: 22681 loss: 1.9055 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9055 2022/10/30 11:43:12 - mmengine - INFO - Epoch(train) [65][140/660] lr: 3.4097e-03 eta: 6:50:36 time: 1.0232 data_time: 0.0187 memory: 22681 loss: 1.9169 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9169 2022/10/30 11:43:33 - mmengine - INFO - Epoch(train) [65][160/660] lr: 3.4053e-03 eta: 6:50:15 time: 1.0271 data_time: 0.0185 memory: 22681 loss: 1.9277 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9277 2022/10/30 11:43:54 - mmengine - INFO - Epoch(train) [65][180/660] lr: 3.4010e-03 eta: 6:49:54 time: 1.0371 data_time: 0.0225 memory: 22681 loss: 1.9203 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9203 2022/10/30 11:44:14 - mmengine - INFO - Epoch(train) [65][200/660] lr: 3.3966e-03 eta: 6:49:33 time: 1.0260 data_time: 0.0197 memory: 22681 loss: 2.0151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0151 2022/10/30 11:44:35 - mmengine - INFO - Epoch(train) [65][220/660] lr: 3.3922e-03 eta: 6:49:12 time: 1.0228 data_time: 0.0183 memory: 22681 loss: 1.8227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8227 2022/10/30 11:44:55 - mmengine - INFO - Epoch(train) [65][240/660] lr: 3.3878e-03 eta: 6:48:51 time: 1.0223 data_time: 0.0183 memory: 22681 loss: 1.9363 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.9363 2022/10/30 11:45:16 - mmengine - INFO - Epoch(train) [65][260/660] lr: 3.3835e-03 eta: 6:48:30 time: 1.0354 data_time: 0.0220 memory: 22681 loss: 1.9770 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9770 2022/10/30 11:45:36 - mmengine - INFO - Epoch(train) [65][280/660] lr: 3.3791e-03 eta: 6:48:09 time: 1.0262 data_time: 0.0200 memory: 22681 loss: 2.0888 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 2.0888 2022/10/30 11:45:57 - mmengine - INFO - Epoch(train) [65][300/660] lr: 3.3747e-03 eta: 6:47:48 time: 1.0225 data_time: 0.0197 memory: 22681 loss: 1.8714 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.8714 2022/10/30 11:46:17 - mmengine - INFO - Epoch(train) [65][320/660] lr: 3.3704e-03 eta: 6:47:27 time: 1.0271 data_time: 0.0184 memory: 22681 loss: 1.8320 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8320 2022/10/30 11:46:38 - mmengine - INFO - Epoch(train) [65][340/660] lr: 3.3660e-03 eta: 6:47:06 time: 1.0362 data_time: 0.0195 memory: 22681 loss: 1.9862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9862 2022/10/30 11:46:59 - mmengine - INFO - Epoch(train) [65][360/660] lr: 3.3616e-03 eta: 6:46:45 time: 1.0310 data_time: 0.0235 memory: 22681 loss: 1.8875 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8875 2022/10/30 11:47:19 - mmengine - INFO - Epoch(train) [65][380/660] lr: 3.3573e-03 eta: 6:46:24 time: 1.0230 data_time: 0.0189 memory: 22681 loss: 1.9689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9689 2022/10/30 11:47:40 - mmengine - INFO - Epoch(train) [65][400/660] lr: 3.3529e-03 eta: 6:46:03 time: 1.0263 data_time: 0.0191 memory: 22681 loss: 1.9281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9281 2022/10/30 11:48:00 - mmengine - INFO - Epoch(train) [65][420/660] lr: 3.3486e-03 eta: 6:45:42 time: 1.0336 data_time: 0.0192 memory: 22681 loss: 2.0491 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0491 2022/10/30 11:48:21 - mmengine - INFO - Epoch(train) [65][440/660] lr: 3.3442e-03 eta: 6:45:21 time: 1.0257 data_time: 0.0235 memory: 22681 loss: 1.9444 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9444 2022/10/30 11:48:41 - mmengine - INFO - Epoch(train) [65][460/660] lr: 3.3399e-03 eta: 6:45:00 time: 1.0206 data_time: 0.0183 memory: 22681 loss: 2.0064 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0064 2022/10/30 11:49:02 - mmengine - INFO - Epoch(train) [65][480/660] lr: 3.3355e-03 eta: 6:44:39 time: 1.0229 data_time: 0.0177 memory: 22681 loss: 1.9189 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9189 2022/10/30 11:49:22 - mmengine - INFO - Epoch(train) [65][500/660] lr: 3.3312e-03 eta: 6:44:18 time: 1.0388 data_time: 0.0182 memory: 22681 loss: 2.1008 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1008 2022/10/30 11:49:43 - mmengine - INFO - Epoch(train) [65][520/660] lr: 3.3268e-03 eta: 6:43:57 time: 1.0260 data_time: 0.0233 memory: 22681 loss: 1.9454 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9454 2022/10/30 11:50:03 - mmengine - INFO - Epoch(train) [65][540/660] lr: 3.3225e-03 eta: 6:43:36 time: 1.0228 data_time: 0.0180 memory: 22681 loss: 1.9109 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9109 2022/10/30 11:50:24 - mmengine - INFO - Epoch(train) [65][560/660] lr: 3.3181e-03 eta: 6:43:15 time: 1.0284 data_time: 0.0178 memory: 22681 loss: 1.9104 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9104 2022/10/30 11:50:45 - mmengine - INFO - Epoch(train) [65][580/660] lr: 3.3138e-03 eta: 6:42:54 time: 1.0411 data_time: 0.0178 memory: 22681 loss: 2.0584 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0584 2022/10/30 11:51:05 - mmengine - INFO - Epoch(train) [65][600/660] lr: 3.3094e-03 eta: 6:42:33 time: 1.0306 data_time: 0.0255 memory: 22681 loss: 2.0774 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0774 2022/10/30 11:51:26 - mmengine - INFO - Epoch(train) [65][620/660] lr: 3.3051e-03 eta: 6:42:12 time: 1.0275 data_time: 0.0194 memory: 22681 loss: 2.0205 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0205 2022/10/30 11:51:46 - mmengine - INFO - Epoch(train) [65][640/660] lr: 3.3007e-03 eta: 6:41:51 time: 1.0240 data_time: 0.0191 memory: 22681 loss: 2.0011 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0011 2022/10/30 11:52:07 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 11:52:07 - mmengine - INFO - Epoch(train) [65][660/660] lr: 3.2964e-03 eta: 6:41:29 time: 1.0146 data_time: 0.0186 memory: 22681 loss: 1.9847 top1_acc: 0.6429 top5_acc: 0.8571 loss_cls: 1.9847 2022/10/30 11:52:09 - mmengine - INFO - Epoch(val) [65][20/194] eta: 0:00:22 time: 0.1301 data_time: 0.0283 memory: 2517 2022/10/30 11:52:11 - mmengine - INFO - Epoch(val) [65][40/194] eta: 0:00:16 time: 0.1085 data_time: 0.0079 memory: 2517 2022/10/30 11:52:14 - mmengine - INFO - Epoch(val) [65][60/194] eta: 0:00:14 time: 0.1085 data_time: 0.0077 memory: 2517 2022/10/30 11:52:16 - mmengine - INFO - Epoch(val) [65][80/194] eta: 0:00:12 time: 0.1085 data_time: 0.0076 memory: 2517 2022/10/30 11:52:18 - mmengine - INFO - Epoch(val) [65][100/194] eta: 0:00:10 time: 0.1090 data_time: 0.0080 memory: 2517 2022/10/30 11:52:20 - mmengine - INFO - Epoch(val) [65][120/194] eta: 0:00:08 time: 0.1085 data_time: 0.0079 memory: 2517 2022/10/30 11:52:22 - mmengine - INFO - Epoch(val) [65][140/194] eta: 0:00:05 time: 0.1078 data_time: 0.0070 memory: 2517 2022/10/30 11:52:24 - mmengine - INFO - Epoch(val) [65][160/194] eta: 0:00:03 time: 0.1079 data_time: 0.0073 memory: 2517 2022/10/30 11:52:27 - mmengine - INFO - Epoch(val) [65][180/194] eta: 0:00:01 time: 0.1079 data_time: 0.0073 memory: 2517 2022/10/30 11:52:30 - mmengine - INFO - Epoch(val) [65][194/194] acc/top1: 0.6572 acc/top5: 0.9022 acc/mean1: 0.5924 2022/10/30 11:52:59 - mmengine - INFO - Epoch(train) [66][20/660] lr: 3.2921e-03 eta: 6:41:13 time: 1.4442 data_time: 0.3264 memory: 22681 loss: 1.9403 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9403 2022/10/30 11:53:19 - mmengine - INFO - Epoch(train) [66][40/660] lr: 3.2877e-03 eta: 6:40:52 time: 1.0244 data_time: 0.0223 memory: 22681 loss: 1.9307 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9307 2022/10/30 11:53:40 - mmengine - INFO - Epoch(train) [66][60/660] lr: 3.2834e-03 eta: 6:40:31 time: 1.0255 data_time: 0.0187 memory: 22681 loss: 2.0588 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0588 2022/10/30 11:54:00 - mmengine - INFO - Epoch(train) [66][80/660] lr: 3.2791e-03 eta: 6:40:10 time: 1.0221 data_time: 0.0192 memory: 22681 loss: 1.9176 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9176 2022/10/30 11:54:21 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 11:54:21 - mmengine - INFO - Epoch(train) [66][100/660] lr: 3.2747e-03 eta: 6:39:49 time: 1.0426 data_time: 0.0238 memory: 22681 loss: 1.8969 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8969 2022/10/30 11:54:41 - mmengine - INFO - Epoch(train) [66][120/660] lr: 3.2704e-03 eta: 6:39:28 time: 1.0254 data_time: 0.0188 memory: 22681 loss: 1.9113 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9113 2022/10/30 11:55:02 - mmengine - INFO - Epoch(train) [66][140/660] lr: 3.2661e-03 eta: 6:39:07 time: 1.0210 data_time: 0.0186 memory: 22681 loss: 1.9622 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9622 2022/10/30 11:55:22 - mmengine - INFO - Epoch(train) [66][160/660] lr: 3.2618e-03 eta: 6:38:46 time: 1.0229 data_time: 0.0190 memory: 22681 loss: 1.9928 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9928 2022/10/30 11:55:43 - mmengine - INFO - Epoch(train) [66][180/660] lr: 3.2574e-03 eta: 6:38:25 time: 1.0406 data_time: 0.0251 memory: 22681 loss: 1.8970 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8970 2022/10/30 11:56:04 - mmengine - INFO - Epoch(train) [66][200/660] lr: 3.2531e-03 eta: 6:38:04 time: 1.0271 data_time: 0.0186 memory: 22681 loss: 2.0838 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 2.0838 2022/10/30 11:56:24 - mmengine - INFO - Epoch(train) [66][220/660] lr: 3.2488e-03 eta: 6:37:43 time: 1.0208 data_time: 0.0183 memory: 22681 loss: 1.8791 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8791 2022/10/30 11:56:44 - mmengine - INFO - Epoch(train) [66][240/660] lr: 3.2445e-03 eta: 6:37:22 time: 1.0220 data_time: 0.0186 memory: 22681 loss: 1.8680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8680 2022/10/30 11:57:05 - mmengine - INFO - Epoch(train) [66][260/660] lr: 3.2402e-03 eta: 6:37:01 time: 1.0379 data_time: 0.0234 memory: 22681 loss: 1.9983 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9983 2022/10/30 11:57:26 - mmengine - INFO - Epoch(train) [66][280/660] lr: 3.2358e-03 eta: 6:36:40 time: 1.0255 data_time: 0.0183 memory: 22681 loss: 1.9161 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9161 2022/10/30 11:57:46 - mmengine - INFO - Epoch(train) [66][300/660] lr: 3.2315e-03 eta: 6:36:19 time: 1.0218 data_time: 0.0188 memory: 22681 loss: 1.9661 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9661 2022/10/30 11:58:07 - mmengine - INFO - Epoch(train) [66][320/660] lr: 3.2272e-03 eta: 6:35:57 time: 1.0216 data_time: 0.0194 memory: 22681 loss: 2.0498 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0498 2022/10/30 11:58:27 - mmengine - INFO - Epoch(train) [66][340/660] lr: 3.2229e-03 eta: 6:35:36 time: 1.0358 data_time: 0.0234 memory: 22681 loss: 2.1169 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1169 2022/10/30 11:58:48 - mmengine - INFO - Epoch(train) [66][360/660] lr: 3.2186e-03 eta: 6:35:15 time: 1.0282 data_time: 0.0198 memory: 22681 loss: 1.9420 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9420 2022/10/30 11:59:08 - mmengine - INFO - Epoch(train) [66][380/660] lr: 3.2143e-03 eta: 6:34:54 time: 1.0240 data_time: 0.0187 memory: 22681 loss: 1.8287 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8287 2022/10/30 11:59:29 - mmengine - INFO - Epoch(train) [66][400/660] lr: 3.2100e-03 eta: 6:34:33 time: 1.0218 data_time: 0.0203 memory: 22681 loss: 1.9803 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9803 2022/10/30 11:59:50 - mmengine - INFO - Epoch(train) [66][420/660] lr: 3.2057e-03 eta: 6:34:12 time: 1.0372 data_time: 0.0248 memory: 22681 loss: 2.0270 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0270 2022/10/30 12:00:10 - mmengine - INFO - Epoch(train) [66][440/660] lr: 3.2014e-03 eta: 6:33:51 time: 1.0248 data_time: 0.0192 memory: 22681 loss: 1.8146 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8146 2022/10/30 12:00:31 - mmengine - INFO - Epoch(train) [66][460/660] lr: 3.1971e-03 eta: 6:33:30 time: 1.0223 data_time: 0.0182 memory: 22681 loss: 1.8093 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8093 2022/10/30 12:00:51 - mmengine - INFO - Epoch(train) [66][480/660] lr: 3.1928e-03 eta: 6:33:09 time: 1.0220 data_time: 0.0189 memory: 22681 loss: 1.9974 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9974 2022/10/30 12:01:12 - mmengine - INFO - Epoch(train) [66][500/660] lr: 3.1885e-03 eta: 6:32:48 time: 1.0354 data_time: 0.0233 memory: 22681 loss: 1.8424 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8424 2022/10/30 12:01:32 - mmengine - INFO - Epoch(train) [66][520/660] lr: 3.1842e-03 eta: 6:32:27 time: 1.0249 data_time: 0.0189 memory: 22681 loss: 1.8551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8551 2022/10/30 12:01:53 - mmengine - INFO - Epoch(train) [66][540/660] lr: 3.1799e-03 eta: 6:32:06 time: 1.0259 data_time: 0.0180 memory: 22681 loss: 1.9454 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9454 2022/10/30 12:02:13 - mmengine - INFO - Epoch(train) [66][560/660] lr: 3.1756e-03 eta: 6:31:45 time: 1.0246 data_time: 0.0183 memory: 22681 loss: 1.9780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9780 2022/10/30 12:02:34 - mmengine - INFO - Epoch(train) [66][580/660] lr: 3.1713e-03 eta: 6:31:24 time: 1.0412 data_time: 0.0227 memory: 22681 loss: 1.8355 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8355 2022/10/30 12:02:55 - mmengine - INFO - Epoch(train) [66][600/660] lr: 3.1670e-03 eta: 6:31:03 time: 1.0320 data_time: 0.0239 memory: 22681 loss: 1.9956 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9956 2022/10/30 12:03:15 - mmengine - INFO - Epoch(train) [66][620/660] lr: 3.1628e-03 eta: 6:30:42 time: 1.0245 data_time: 0.0194 memory: 22681 loss: 1.9619 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9619 2022/10/30 12:03:36 - mmengine - INFO - Epoch(train) [66][640/660] lr: 3.1585e-03 eta: 6:30:21 time: 1.0219 data_time: 0.0200 memory: 22681 loss: 1.9239 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9239 2022/10/30 12:03:56 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 12:03:56 - mmengine - INFO - Epoch(train) [66][660/660] lr: 3.1542e-03 eta: 6:30:00 time: 1.0117 data_time: 0.0223 memory: 22681 loss: 2.0368 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.0368 2022/10/30 12:03:56 - mmengine - INFO - Saving checkpoint at 66 epochs 2022/10/30 12:04:00 - mmengine - INFO - Epoch(val) [66][20/194] eta: 0:00:21 time: 0.1260 data_time: 0.0248 memory: 2517 2022/10/30 12:04:02 - mmengine - INFO - Epoch(val) [66][40/194] eta: 0:00:16 time: 0.1088 data_time: 0.0078 memory: 2517 2022/10/30 12:04:04 - mmengine - INFO - Epoch(val) [66][60/194] eta: 0:00:14 time: 0.1095 data_time: 0.0078 memory: 2517 2022/10/30 12:04:06 - mmengine - INFO - Epoch(val) [66][80/194] eta: 0:00:12 time: 0.1083 data_time: 0.0073 memory: 2517 2022/10/30 12:04:08 - mmengine - INFO - Epoch(val) [66][100/194] eta: 0:00:10 time: 0.1084 data_time: 0.0074 memory: 2517 2022/10/30 12:04:10 - mmengine - INFO - Epoch(val) [66][120/194] eta: 0:00:07 time: 0.1079 data_time: 0.0070 memory: 2517 2022/10/30 12:04:13 - mmengine - INFO - Epoch(val) [66][140/194] eta: 0:00:05 time: 0.1078 data_time: 0.0074 memory: 2517 2022/10/30 12:04:15 - mmengine - INFO - Epoch(val) [66][160/194] eta: 0:00:03 time: 0.1076 data_time: 0.0070 memory: 2517 2022/10/30 12:04:17 - mmengine - INFO - Epoch(val) [66][180/194] eta: 0:00:01 time: 0.1077 data_time: 0.0071 memory: 2517 2022/10/30 12:04:19 - mmengine - INFO - Epoch(val) [66][194/194] acc/top1: 0.6618 acc/top5: 0.9046 acc/mean1: 0.5946 2022/10/30 12:04:19 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_63.pth is removed 2022/10/30 12:04:21 - mmengine - INFO - The best checkpoint with 0.6618 acc/top1 at 66 epoch is saved to best_acc/top1_epoch_66.pth. 2022/10/30 12:04:49 - mmengine - INFO - Epoch(train) [67][20/660] lr: 3.1499e-03 eta: 6:29:43 time: 1.4099 data_time: 0.2476 memory: 22681 loss: 1.9421 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9421 2022/10/30 12:05:09 - mmengine - INFO - Epoch(train) [67][40/660] lr: 3.1456e-03 eta: 6:29:22 time: 1.0206 data_time: 0.0195 memory: 22681 loss: 1.9641 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9641 2022/10/30 12:05:30 - mmengine - INFO - Epoch(train) [67][60/660] lr: 3.1414e-03 eta: 6:29:01 time: 1.0209 data_time: 0.0189 memory: 22681 loss: 1.9648 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9648 2022/10/30 12:05:50 - mmengine - INFO - Epoch(train) [67][80/660] lr: 3.1371e-03 eta: 6:28:40 time: 1.0232 data_time: 0.0177 memory: 22681 loss: 1.8989 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8989 2022/10/30 12:06:11 - mmengine - INFO - Epoch(train) [67][100/660] lr: 3.1328e-03 eta: 6:28:19 time: 1.0330 data_time: 0.0238 memory: 22681 loss: 1.9758 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9758 2022/10/30 12:06:31 - mmengine - INFO - Epoch(train) [67][120/660] lr: 3.1285e-03 eta: 6:27:58 time: 1.0254 data_time: 0.0196 memory: 22681 loss: 2.0534 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0534 2022/10/30 12:06:52 - mmengine - INFO - Epoch(train) [67][140/660] lr: 3.1243e-03 eta: 6:27:37 time: 1.0234 data_time: 0.0192 memory: 22681 loss: 1.9445 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9445 2022/10/30 12:07:12 - mmengine - INFO - Epoch(train) [67][160/660] lr: 3.1200e-03 eta: 6:27:16 time: 1.0232 data_time: 0.0203 memory: 22681 loss: 1.8583 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8583 2022/10/30 12:07:33 - mmengine - INFO - Epoch(train) [67][180/660] lr: 3.1157e-03 eta: 6:26:55 time: 1.0347 data_time: 0.0248 memory: 22681 loss: 1.8745 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8745 2022/10/30 12:07:54 - mmengine - INFO - Epoch(train) [67][200/660] lr: 3.1115e-03 eta: 6:26:34 time: 1.0277 data_time: 0.0199 memory: 22681 loss: 1.9362 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9362 2022/10/30 12:08:14 - mmengine - INFO - Epoch(train) [67][220/660] lr: 3.1072e-03 eta: 6:26:13 time: 1.0234 data_time: 0.0196 memory: 22681 loss: 1.9311 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9311 2022/10/30 12:08:34 - mmengine - INFO - Epoch(train) [67][240/660] lr: 3.1029e-03 eta: 6:25:52 time: 1.0236 data_time: 0.0195 memory: 22681 loss: 2.0689 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0689 2022/10/30 12:08:55 - mmengine - INFO - Epoch(train) [67][260/660] lr: 3.0987e-03 eta: 6:25:31 time: 1.0394 data_time: 0.0244 memory: 22681 loss: 1.8658 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8658 2022/10/30 12:09:16 - mmengine - INFO - Epoch(train) [67][280/660] lr: 3.0944e-03 eta: 6:25:10 time: 1.0302 data_time: 0.0194 memory: 22681 loss: 1.8938 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8938 2022/10/30 12:09:36 - mmengine - INFO - Epoch(train) [67][300/660] lr: 3.0902e-03 eta: 6:24:49 time: 1.0206 data_time: 0.0191 memory: 22681 loss: 1.9682 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9682 2022/10/30 12:09:57 - mmengine - INFO - Epoch(train) [67][320/660] lr: 3.0859e-03 eta: 6:24:28 time: 1.0260 data_time: 0.0192 memory: 22681 loss: 1.9064 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9064 2022/10/30 12:10:17 - mmengine - INFO - Epoch(train) [67][340/660] lr: 3.0817e-03 eta: 6:24:07 time: 1.0356 data_time: 0.0260 memory: 22681 loss: 1.8041 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8041 2022/10/30 12:10:38 - mmengine - INFO - Epoch(train) [67][360/660] lr: 3.0774e-03 eta: 6:23:46 time: 1.0305 data_time: 0.0202 memory: 22681 loss: 1.8404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8404 2022/10/30 12:10:59 - mmengine - INFO - Epoch(train) [67][380/660] lr: 3.0732e-03 eta: 6:23:25 time: 1.0235 data_time: 0.0195 memory: 22681 loss: 1.8295 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8295 2022/10/30 12:11:19 - mmengine - INFO - Epoch(train) [67][400/660] lr: 3.0689e-03 eta: 6:23:04 time: 1.0235 data_time: 0.0196 memory: 22681 loss: 1.9481 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9481 2022/10/30 12:11:40 - mmengine - INFO - Epoch(train) [67][420/660] lr: 3.0647e-03 eta: 6:22:43 time: 1.0371 data_time: 0.0307 memory: 22681 loss: 2.0201 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0201 2022/10/30 12:12:00 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 12:12:00 - mmengine - INFO - Epoch(train) [67][440/660] lr: 3.0604e-03 eta: 6:22:22 time: 1.0283 data_time: 0.0195 memory: 22681 loss: 1.9940 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9940 2022/10/30 12:12:21 - mmengine - INFO - Epoch(train) [67][460/660] lr: 3.0562e-03 eta: 6:22:01 time: 1.0210 data_time: 0.0199 memory: 22681 loss: 2.0197 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.0197 2022/10/30 12:12:41 - mmengine - INFO - Epoch(train) [67][480/660] lr: 3.0520e-03 eta: 6:21:39 time: 1.0192 data_time: 0.0200 memory: 22681 loss: 1.9506 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9506 2022/10/30 12:13:02 - mmengine - INFO - Epoch(train) [67][500/660] lr: 3.0477e-03 eta: 6:21:19 time: 1.0344 data_time: 0.0260 memory: 22681 loss: 1.9638 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9638 2022/10/30 12:13:22 - mmengine - INFO - Epoch(train) [67][520/660] lr: 3.0435e-03 eta: 6:20:57 time: 1.0247 data_time: 0.0195 memory: 22681 loss: 1.8709 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8709 2022/10/30 12:13:43 - mmengine - INFO - Epoch(train) [67][540/660] lr: 3.0393e-03 eta: 6:20:36 time: 1.0249 data_time: 0.0202 memory: 22681 loss: 2.0755 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0755 2022/10/30 12:14:03 - mmengine - INFO - Epoch(train) [67][560/660] lr: 3.0350e-03 eta: 6:20:15 time: 1.0245 data_time: 0.0221 memory: 22681 loss: 1.9867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9867 2022/10/30 12:14:24 - mmengine - INFO - Epoch(train) [67][580/660] lr: 3.0308e-03 eta: 6:19:55 time: 1.0400 data_time: 0.0254 memory: 22681 loss: 1.8745 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8745 2022/10/30 12:14:45 - mmengine - INFO - Epoch(train) [67][600/660] lr: 3.0266e-03 eta: 6:19:34 time: 1.0270 data_time: 0.0197 memory: 22681 loss: 1.8045 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8045 2022/10/30 12:15:05 - mmengine - INFO - Epoch(train) [67][620/660] lr: 3.0223e-03 eta: 6:19:12 time: 1.0206 data_time: 0.0182 memory: 22681 loss: 1.9271 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9271 2022/10/30 12:15:25 - mmengine - INFO - Epoch(train) [67][640/660] lr: 3.0181e-03 eta: 6:18:51 time: 1.0178 data_time: 0.0197 memory: 22681 loss: 1.9794 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9794 2022/10/30 12:15:46 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 12:15:46 - mmengine - INFO - Epoch(train) [67][660/660] lr: 3.0139e-03 eta: 6:18:30 time: 1.0111 data_time: 0.0204 memory: 22681 loss: 1.8170 top1_acc: 0.6429 top5_acc: 1.0000 loss_cls: 1.8170 2022/10/30 12:15:48 - mmengine - INFO - Epoch(val) [67][20/194] eta: 0:00:23 time: 0.1361 data_time: 0.0333 memory: 2517 2022/10/30 12:15:51 - mmengine - INFO - Epoch(val) [67][40/194] eta: 0:00:16 time: 0.1089 data_time: 0.0078 memory: 2517 2022/10/30 12:15:53 - mmengine - INFO - Epoch(val) [67][60/194] eta: 0:00:14 time: 0.1088 data_time: 0.0077 memory: 2517 2022/10/30 12:15:55 - mmengine - INFO - Epoch(val) [67][80/194] eta: 0:00:12 time: 0.1081 data_time: 0.0074 memory: 2517 2022/10/30 12:15:57 - mmengine - INFO - Epoch(val) [67][100/194] eta: 0:00:10 time: 0.1082 data_time: 0.0073 memory: 2517 2022/10/30 12:15:59 - mmengine - INFO - Epoch(val) [67][120/194] eta: 0:00:07 time: 0.1078 data_time: 0.0072 memory: 2517 2022/10/30 12:16:01 - mmengine - INFO - Epoch(val) [67][140/194] eta: 0:00:05 time: 0.1083 data_time: 0.0073 memory: 2517 2022/10/30 12:16:04 - mmengine - INFO - Epoch(val) [67][160/194] eta: 0:00:03 time: 0.1082 data_time: 0.0073 memory: 2517 2022/10/30 12:16:06 - mmengine - INFO - Epoch(val) [67][180/194] eta: 0:00:01 time: 0.1083 data_time: 0.0072 memory: 2517 2022/10/30 12:16:09 - mmengine - INFO - Epoch(val) [67][194/194] acc/top1: 0.6602 acc/top5: 0.9052 acc/mean1: 0.5968 2022/10/30 12:16:38 - mmengine - INFO - Epoch(train) [68][20/660] lr: 3.0097e-03 eta: 6:18:13 time: 1.4656 data_time: 0.2720 memory: 22681 loss: 1.9294 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9294 2022/10/30 12:16:59 - mmengine - INFO - Epoch(train) [68][40/660] lr: 3.0055e-03 eta: 6:17:52 time: 1.0257 data_time: 0.0191 memory: 22681 loss: 1.9352 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9352 2022/10/30 12:17:19 - mmengine - INFO - Epoch(train) [68][60/660] lr: 3.0012e-03 eta: 6:17:31 time: 1.0235 data_time: 0.0189 memory: 22681 loss: 1.9548 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9548 2022/10/30 12:17:40 - mmengine - INFO - Epoch(train) [68][80/660] lr: 2.9970e-03 eta: 6:17:10 time: 1.0245 data_time: 0.0197 memory: 22681 loss: 1.8642 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8642 2022/10/30 12:18:01 - mmengine - INFO - Epoch(train) [68][100/660] lr: 2.9928e-03 eta: 6:16:49 time: 1.0370 data_time: 0.0246 memory: 22681 loss: 2.0116 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0116 2022/10/30 12:18:21 - mmengine - INFO - Epoch(train) [68][120/660] lr: 2.9886e-03 eta: 6:16:28 time: 1.0284 data_time: 0.0193 memory: 22681 loss: 1.8627 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8627 2022/10/30 12:18:42 - mmengine - INFO - Epoch(train) [68][140/660] lr: 2.9844e-03 eta: 6:16:07 time: 1.0245 data_time: 0.0194 memory: 22681 loss: 1.9403 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9403 2022/10/30 12:19:02 - mmengine - INFO - Epoch(train) [68][160/660] lr: 2.9802e-03 eta: 6:15:46 time: 1.0254 data_time: 0.0225 memory: 22681 loss: 1.9498 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9498 2022/10/30 12:19:23 - mmengine - INFO - Epoch(train) [68][180/660] lr: 2.9760e-03 eta: 6:15:25 time: 1.0374 data_time: 0.0236 memory: 22681 loss: 1.9994 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9994 2022/10/30 12:19:43 - mmengine - INFO - Epoch(train) [68][200/660] lr: 2.9718e-03 eta: 6:15:04 time: 1.0251 data_time: 0.0183 memory: 22681 loss: 1.9134 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9134 2022/10/30 12:20:04 - mmengine - INFO - Epoch(train) [68][220/660] lr: 2.9676e-03 eta: 6:14:43 time: 1.0250 data_time: 0.0216 memory: 22681 loss: 1.8733 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8733 2022/10/30 12:20:24 - mmengine - INFO - Epoch(train) [68][240/660] lr: 2.9634e-03 eta: 6:14:22 time: 1.0230 data_time: 0.0201 memory: 22681 loss: 2.0298 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0298 2022/10/30 12:20:45 - mmengine - INFO - Epoch(train) [68][260/660] lr: 2.9592e-03 eta: 6:14:01 time: 1.0408 data_time: 0.0251 memory: 22681 loss: 1.8522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8522 2022/10/30 12:21:06 - mmengine - INFO - Epoch(train) [68][280/660] lr: 2.9550e-03 eta: 6:13:41 time: 1.0315 data_time: 0.0186 memory: 22681 loss: 1.9580 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9580 2022/10/30 12:21:26 - mmengine - INFO - Epoch(train) [68][300/660] lr: 2.9508e-03 eta: 6:13:19 time: 1.0259 data_time: 0.0192 memory: 22681 loss: 2.0030 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0030 2022/10/30 12:21:47 - mmengine - INFO - Epoch(train) [68][320/660] lr: 2.9466e-03 eta: 6:12:58 time: 1.0266 data_time: 0.0208 memory: 22681 loss: 1.9070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9070 2022/10/30 12:22:08 - mmengine - INFO - Epoch(train) [68][340/660] lr: 2.9424e-03 eta: 6:12:38 time: 1.0464 data_time: 0.0249 memory: 22681 loss: 1.8662 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8662 2022/10/30 12:22:28 - mmengine - INFO - Epoch(train) [68][360/660] lr: 2.9382e-03 eta: 6:12:17 time: 1.0345 data_time: 0.0203 memory: 22681 loss: 2.0046 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0046 2022/10/30 12:22:49 - mmengine - INFO - Epoch(train) [68][380/660] lr: 2.9340e-03 eta: 6:11:56 time: 1.0281 data_time: 0.0193 memory: 22681 loss: 1.9669 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9669 2022/10/30 12:23:10 - mmengine - INFO - Epoch(train) [68][400/660] lr: 2.9299e-03 eta: 6:11:35 time: 1.0295 data_time: 0.0202 memory: 22681 loss: 2.0120 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0120 2022/10/30 12:23:30 - mmengine - INFO - Epoch(train) [68][420/660] lr: 2.9257e-03 eta: 6:11:14 time: 1.0443 data_time: 0.0249 memory: 22681 loss: 2.0143 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0143 2022/10/30 12:23:51 - mmengine - INFO - Epoch(train) [68][440/660] lr: 2.9215e-03 eta: 6:10:53 time: 1.0335 data_time: 0.0193 memory: 22681 loss: 1.9388 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9388 2022/10/30 12:24:12 - mmengine - INFO - Epoch(train) [68][460/660] lr: 2.9173e-03 eta: 6:10:32 time: 1.0372 data_time: 0.0195 memory: 22681 loss: 1.9202 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9202 2022/10/30 12:24:32 - mmengine - INFO - Epoch(train) [68][480/660] lr: 2.9131e-03 eta: 6:10:11 time: 1.0278 data_time: 0.0199 memory: 22681 loss: 1.8748 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8748 2022/10/30 12:24:53 - mmengine - INFO - Epoch(train) [68][500/660] lr: 2.9090e-03 eta: 6:09:50 time: 1.0493 data_time: 0.0249 memory: 22681 loss: 2.0354 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0354 2022/10/30 12:25:14 - mmengine - INFO - Epoch(train) [68][520/660] lr: 2.9048e-03 eta: 6:09:29 time: 1.0381 data_time: 0.0200 memory: 22681 loss: 1.7584 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7584 2022/10/30 12:25:35 - mmengine - INFO - Epoch(train) [68][540/660] lr: 2.9006e-03 eta: 6:09:08 time: 1.0369 data_time: 0.0206 memory: 22681 loss: 2.0869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0869 2022/10/30 12:25:56 - mmengine - INFO - Epoch(train) [68][560/660] lr: 2.8965e-03 eta: 6:08:47 time: 1.0319 data_time: 0.0200 memory: 22681 loss: 2.1067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1067 2022/10/30 12:26:17 - mmengine - INFO - Epoch(train) [68][580/660] lr: 2.8923e-03 eta: 6:08:27 time: 1.0480 data_time: 0.0247 memory: 22681 loss: 1.8851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8851 2022/10/30 12:26:37 - mmengine - INFO - Epoch(train) [68][600/660] lr: 2.8881e-03 eta: 6:08:06 time: 1.0430 data_time: 0.0228 memory: 22681 loss: 1.8603 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8603 2022/10/30 12:26:58 - mmengine - INFO - Epoch(train) [68][620/660] lr: 2.8840e-03 eta: 6:07:45 time: 1.0387 data_time: 0.0197 memory: 22681 loss: 1.9727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9727 2022/10/30 12:27:19 - mmengine - INFO - Epoch(train) [68][640/660] lr: 2.8798e-03 eta: 6:07:24 time: 1.0278 data_time: 0.0202 memory: 22681 loss: 2.0442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0442 2022/10/30 12:27:39 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 12:27:39 - mmengine - INFO - Epoch(train) [68][660/660] lr: 2.8757e-03 eta: 6:07:03 time: 1.0174 data_time: 0.0205 memory: 22681 loss: 1.8909 top1_acc: 0.7857 top5_acc: 0.8571 loss_cls: 1.8909 2022/10/30 12:27:42 - mmengine - INFO - Epoch(val) [68][20/194] eta: 0:00:23 time: 0.1370 data_time: 0.0331 memory: 2517 2022/10/30 12:27:44 - mmengine - INFO - Epoch(val) [68][40/194] eta: 0:00:16 time: 0.1100 data_time: 0.0081 memory: 2517 2022/10/30 12:27:46 - mmengine - INFO - Epoch(val) [68][60/194] eta: 0:00:14 time: 0.1097 data_time: 0.0079 memory: 2517 2022/10/30 12:27:48 - mmengine - INFO - Epoch(val) [68][80/194] eta: 0:00:12 time: 0.1096 data_time: 0.0082 memory: 2517 2022/10/30 12:27:51 - mmengine - INFO - Epoch(val) [68][100/194] eta: 0:00:10 time: 0.1091 data_time: 0.0079 memory: 2517 2022/10/30 12:27:53 - mmengine - INFO - Epoch(val) [68][120/194] eta: 0:00:08 time: 0.1082 data_time: 0.0075 memory: 2517 2022/10/30 12:27:55 - mmengine - INFO - Epoch(val) [68][140/194] eta: 0:00:05 time: 0.1080 data_time: 0.0075 memory: 2517 2022/10/30 12:27:57 - mmengine - INFO - Epoch(val) [68][160/194] eta: 0:00:03 time: 0.1084 data_time: 0.0076 memory: 2517 2022/10/30 12:27:59 - mmengine - INFO - Epoch(val) [68][180/194] eta: 0:00:01 time: 0.1081 data_time: 0.0075 memory: 2517 2022/10/30 12:28:02 - mmengine - INFO - Epoch(val) [68][194/194] acc/top1: 0.6639 acc/top5: 0.9050 acc/mean1: 0.5982 2022/10/30 12:28:02 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_66.pth is removed 2022/10/30 12:28:04 - mmengine - INFO - The best checkpoint with 0.6639 acc/top1 at 68 epoch is saved to best_acc/top1_epoch_68.pth. 2022/10/30 12:28:32 - mmengine - INFO - Epoch(train) [69][20/660] lr: 2.8715e-03 eta: 6:06:46 time: 1.4331 data_time: 0.2526 memory: 22681 loss: 2.0810 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0810 2022/10/30 12:28:53 - mmengine - INFO - Epoch(train) [69][40/660] lr: 2.8673e-03 eta: 6:06:25 time: 1.0249 data_time: 0.0176 memory: 22681 loss: 2.0412 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0412 2022/10/30 12:29:13 - mmengine - INFO - Epoch(train) [69][60/660] lr: 2.8632e-03 eta: 6:06:04 time: 1.0192 data_time: 0.0191 memory: 22681 loss: 1.8662 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8662 2022/10/30 12:29:34 - mmengine - INFO - Epoch(train) [69][80/660] lr: 2.8590e-03 eta: 6:05:43 time: 1.0244 data_time: 0.0193 memory: 22681 loss: 1.8524 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8524 2022/10/30 12:29:54 - mmengine - INFO - Epoch(train) [69][100/660] lr: 2.8549e-03 eta: 6:05:22 time: 1.0289 data_time: 0.0215 memory: 22681 loss: 1.9006 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9006 2022/10/30 12:30:15 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 12:30:15 - mmengine - INFO - Epoch(train) [69][120/660] lr: 2.8508e-03 eta: 6:05:00 time: 1.0223 data_time: 0.0182 memory: 22681 loss: 1.8117 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8117 2022/10/30 12:30:35 - mmengine - INFO - Epoch(train) [69][140/660] lr: 2.8466e-03 eta: 6:04:39 time: 1.0248 data_time: 0.0195 memory: 22681 loss: 2.0023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0023 2022/10/30 12:30:56 - mmengine - INFO - Epoch(train) [69][160/660] lr: 2.8425e-03 eta: 6:04:18 time: 1.0200 data_time: 0.0191 memory: 22681 loss: 1.8638 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8638 2022/10/30 12:31:16 - mmengine - INFO - Epoch(train) [69][180/660] lr: 2.8383e-03 eta: 6:03:57 time: 1.0306 data_time: 0.0206 memory: 22681 loss: 2.0111 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0111 2022/10/30 12:31:37 - mmengine - INFO - Epoch(train) [69][200/660] lr: 2.8342e-03 eta: 6:03:36 time: 1.0219 data_time: 0.0187 memory: 22681 loss: 1.9913 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9913 2022/10/30 12:31:57 - mmengine - INFO - Epoch(train) [69][220/660] lr: 2.8301e-03 eta: 6:03:15 time: 1.0218 data_time: 0.0196 memory: 22681 loss: 1.9381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9381 2022/10/30 12:32:18 - mmengine - INFO - Epoch(train) [69][240/660] lr: 2.8259e-03 eta: 6:02:54 time: 1.0234 data_time: 0.0189 memory: 22681 loss: 1.9652 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9652 2022/10/30 12:32:38 - mmengine - INFO - Epoch(train) [69][260/660] lr: 2.8218e-03 eta: 6:02:33 time: 1.0271 data_time: 0.0211 memory: 22681 loss: 1.7392 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7392 2022/10/30 12:32:59 - mmengine - INFO - Epoch(train) [69][280/660] lr: 2.8177e-03 eta: 6:02:12 time: 1.0226 data_time: 0.0178 memory: 22681 loss: 1.8922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8922 2022/10/30 12:33:19 - mmengine - INFO - Epoch(train) [69][300/660] lr: 2.8135e-03 eta: 6:01:51 time: 1.0240 data_time: 0.0202 memory: 22681 loss: 2.0407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0407 2022/10/30 12:33:40 - mmengine - INFO - Epoch(train) [69][320/660] lr: 2.8094e-03 eta: 6:01:30 time: 1.0247 data_time: 0.0186 memory: 22681 loss: 1.9447 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9447 2022/10/30 12:34:00 - mmengine - INFO - Epoch(train) [69][340/660] lr: 2.8053e-03 eta: 6:01:09 time: 1.0304 data_time: 0.0203 memory: 22681 loss: 1.9803 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9803 2022/10/30 12:34:21 - mmengine - INFO - Epoch(train) [69][360/660] lr: 2.8012e-03 eta: 6:00:48 time: 1.0257 data_time: 0.0193 memory: 22681 loss: 1.9914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9914 2022/10/30 12:34:41 - mmengine - INFO - Epoch(train) [69][380/660] lr: 2.7970e-03 eta: 6:00:27 time: 1.0253 data_time: 0.0199 memory: 22681 loss: 1.9988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9988 2022/10/30 12:35:02 - mmengine - INFO - Epoch(train) [69][400/660] lr: 2.7929e-03 eta: 6:00:06 time: 1.0277 data_time: 0.0181 memory: 22681 loss: 1.9688 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9688 2022/10/30 12:35:23 - mmengine - INFO - Epoch(train) [69][420/660] lr: 2.7888e-03 eta: 5:59:45 time: 1.0366 data_time: 0.0232 memory: 22681 loss: 1.8170 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8170 2022/10/30 12:35:43 - mmengine - INFO - Epoch(train) [69][440/660] lr: 2.7847e-03 eta: 5:59:24 time: 1.0277 data_time: 0.0189 memory: 22681 loss: 2.0005 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0005 2022/10/30 12:36:04 - mmengine - INFO - Epoch(train) [69][460/660] lr: 2.7806e-03 eta: 5:59:03 time: 1.0249 data_time: 0.0205 memory: 22681 loss: 1.9291 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9291 2022/10/30 12:36:24 - mmengine - INFO - Epoch(train) [69][480/660] lr: 2.7765e-03 eta: 5:58:42 time: 1.0272 data_time: 0.0197 memory: 22681 loss: 1.9427 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9427 2022/10/30 12:36:45 - mmengine - INFO - Epoch(train) [69][500/660] lr: 2.7724e-03 eta: 5:58:21 time: 1.0355 data_time: 0.0221 memory: 22681 loss: 1.9913 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9913 2022/10/30 12:37:06 - mmengine - INFO - Epoch(train) [69][520/660] lr: 2.7683e-03 eta: 5:58:00 time: 1.0312 data_time: 0.0185 memory: 22681 loss: 1.9656 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9656 2022/10/30 12:37:26 - mmengine - INFO - Epoch(train) [69][540/660] lr: 2.7642e-03 eta: 5:57:39 time: 1.0264 data_time: 0.0197 memory: 22681 loss: 1.9676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9676 2022/10/30 12:37:47 - mmengine - INFO - Epoch(train) [69][560/660] lr: 2.7601e-03 eta: 5:57:18 time: 1.0308 data_time: 0.0190 memory: 22681 loss: 1.9689 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9689 2022/10/30 12:38:08 - mmengine - INFO - Epoch(train) [69][580/660] lr: 2.7560e-03 eta: 5:56:58 time: 1.0443 data_time: 0.0223 memory: 22681 loss: 1.9290 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9290 2022/10/30 12:38:28 - mmengine - INFO - Epoch(train) [69][600/660] lr: 2.7519e-03 eta: 5:56:37 time: 1.0277 data_time: 0.0183 memory: 22681 loss: 2.0168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0168 2022/10/30 12:38:49 - mmengine - INFO - Epoch(train) [69][620/660] lr: 2.7478e-03 eta: 5:56:16 time: 1.0288 data_time: 0.0232 memory: 22681 loss: 1.9895 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9895 2022/10/30 12:39:09 - mmengine - INFO - Epoch(train) [69][640/660] lr: 2.7437e-03 eta: 5:55:54 time: 1.0182 data_time: 0.0183 memory: 22681 loss: 2.0309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0309 2022/10/30 12:39:29 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 12:39:29 - mmengine - INFO - Epoch(train) [69][660/660] lr: 2.7396e-03 eta: 5:55:33 time: 1.0120 data_time: 0.0182 memory: 22681 loss: 1.9541 top1_acc: 0.7143 top5_acc: 0.9286 loss_cls: 1.9541 2022/10/30 12:39:29 - mmengine - INFO - Saving checkpoint at 69 epochs 2022/10/30 12:39:33 - mmengine - INFO - Epoch(val) [69][20/194] eta: 0:00:21 time: 0.1262 data_time: 0.0252 memory: 2517 2022/10/30 12:39:35 - mmengine - INFO - Epoch(val) [69][40/194] eta: 0:00:16 time: 0.1078 data_time: 0.0073 memory: 2517 2022/10/30 12:39:37 - mmengine - INFO - Epoch(val) [69][60/194] eta: 0:00:14 time: 0.1083 data_time: 0.0073 memory: 2517 2022/10/30 12:39:40 - mmengine - INFO - Epoch(val) [69][80/194] eta: 0:00:12 time: 0.1094 data_time: 0.0082 memory: 2517 2022/10/30 12:39:42 - mmengine - INFO - Epoch(val) [69][100/194] eta: 0:00:10 time: 0.1084 data_time: 0.0072 memory: 2517 2022/10/30 12:39:44 - mmengine - INFO - Epoch(val) [69][120/194] eta: 0:00:08 time: 0.1081 data_time: 0.0075 memory: 2517 2022/10/30 12:39:46 - mmengine - INFO - Epoch(val) [69][140/194] eta: 0:00:05 time: 0.1085 data_time: 0.0078 memory: 2517 2022/10/30 12:39:48 - mmengine - INFO - Epoch(val) [69][160/194] eta: 0:00:03 time: 0.1093 data_time: 0.0080 memory: 2517 2022/10/30 12:39:50 - mmengine - INFO - Epoch(val) [69][180/194] eta: 0:00:01 time: 0.1082 data_time: 0.0074 memory: 2517 2022/10/30 12:39:53 - mmengine - INFO - Epoch(val) [69][194/194] acc/top1: 0.6640 acc/top5: 0.9062 acc/mean1: 0.5952 2022/10/30 12:39:53 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_68.pth is removed 2022/10/30 12:39:54 - mmengine - INFO - The best checkpoint with 0.6640 acc/top1 at 69 epoch is saved to best_acc/top1_epoch_69.pth. 2022/10/30 12:40:23 - mmengine - INFO - Epoch(train) [70][20/660] lr: 2.7355e-03 eta: 5:55:16 time: 1.4197 data_time: 0.3627 memory: 22681 loss: 2.0116 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0116 2022/10/30 12:40:43 - mmengine - INFO - Epoch(train) [70][40/660] lr: 2.7314e-03 eta: 5:54:55 time: 1.0223 data_time: 0.0193 memory: 22681 loss: 1.8512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8512 2022/10/30 12:41:03 - mmengine - INFO - Epoch(train) [70][60/660] lr: 2.7274e-03 eta: 5:54:34 time: 1.0208 data_time: 0.0188 memory: 22681 loss: 1.8825 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8825 2022/10/30 12:41:24 - mmengine - INFO - Epoch(train) [70][80/660] lr: 2.7233e-03 eta: 5:54:13 time: 1.0242 data_time: 0.0210 memory: 22681 loss: 1.9523 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9523 2022/10/30 12:41:45 - mmengine - INFO - Epoch(train) [70][100/660] lr: 2.7192e-03 eta: 5:53:52 time: 1.0421 data_time: 0.0250 memory: 22681 loss: 1.9586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9586 2022/10/30 12:42:05 - mmengine - INFO - Epoch(train) [70][120/660] lr: 2.7151e-03 eta: 5:53:31 time: 1.0322 data_time: 0.0208 memory: 22681 loss: 1.7628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7628 2022/10/30 12:42:26 - mmengine - INFO - Epoch(train) [70][140/660] lr: 2.7110e-03 eta: 5:53:10 time: 1.0280 data_time: 0.0186 memory: 22681 loss: 1.8874 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8874 2022/10/30 12:42:47 - mmengine - INFO - Epoch(train) [70][160/660] lr: 2.7070e-03 eta: 5:52:49 time: 1.0298 data_time: 0.0235 memory: 22681 loss: 1.8293 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8293 2022/10/30 12:43:07 - mmengine - INFO - Epoch(train) [70][180/660] lr: 2.7029e-03 eta: 5:52:28 time: 1.0457 data_time: 0.0240 memory: 22681 loss: 1.8378 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8378 2022/10/30 12:43:28 - mmengine - INFO - Epoch(train) [70][200/660] lr: 2.6988e-03 eta: 5:52:07 time: 1.0392 data_time: 0.0190 memory: 22681 loss: 1.9624 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9624 2022/10/30 12:43:49 - mmengine - INFO - Epoch(train) [70][220/660] lr: 2.6948e-03 eta: 5:51:46 time: 1.0296 data_time: 0.0195 memory: 22681 loss: 1.9208 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9208 2022/10/30 12:44:09 - mmengine - INFO - Epoch(train) [70][240/660] lr: 2.6907e-03 eta: 5:51:25 time: 1.0269 data_time: 0.0194 memory: 22681 loss: 2.0660 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0660 2022/10/30 12:44:30 - mmengine - INFO - Epoch(train) [70][260/660] lr: 2.6867e-03 eta: 5:51:04 time: 1.0406 data_time: 0.0231 memory: 22681 loss: 1.8545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8545 2022/10/30 12:44:51 - mmengine - INFO - Epoch(train) [70][280/660] lr: 2.6826e-03 eta: 5:50:43 time: 1.0291 data_time: 0.0176 memory: 22681 loss: 1.8285 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8285 2022/10/30 12:45:11 - mmengine - INFO - Epoch(train) [70][300/660] lr: 2.6785e-03 eta: 5:50:22 time: 1.0254 data_time: 0.0175 memory: 22681 loss: 1.8422 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8422 2022/10/30 12:45:32 - mmengine - INFO - Epoch(train) [70][320/660] lr: 2.6745e-03 eta: 5:50:01 time: 1.0240 data_time: 0.0188 memory: 22681 loss: 2.0181 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0181 2022/10/30 12:45:53 - mmengine - INFO - Epoch(train) [70][340/660] lr: 2.6704e-03 eta: 5:49:41 time: 1.0439 data_time: 0.0250 memory: 22681 loss: 2.0191 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0191 2022/10/30 12:46:13 - mmengine - INFO - Epoch(train) [70][360/660] lr: 2.6664e-03 eta: 5:49:20 time: 1.0298 data_time: 0.0182 memory: 22681 loss: 1.9529 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9529 2022/10/30 12:46:34 - mmengine - INFO - Epoch(train) [70][380/660] lr: 2.6623e-03 eta: 5:48:59 time: 1.0276 data_time: 0.0189 memory: 22681 loss: 1.9139 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9139 2022/10/30 12:46:54 - mmengine - INFO - Epoch(train) [70][400/660] lr: 2.6583e-03 eta: 5:48:38 time: 1.0287 data_time: 0.0182 memory: 22681 loss: 2.0015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0015 2022/10/30 12:47:15 - mmengine - INFO - Epoch(train) [70][420/660] lr: 2.6542e-03 eta: 5:48:17 time: 1.0425 data_time: 0.0227 memory: 22681 loss: 1.8207 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8207 2022/10/30 12:47:36 - mmengine - INFO - Epoch(train) [70][440/660] lr: 2.6502e-03 eta: 5:47:56 time: 1.0326 data_time: 0.0194 memory: 22681 loss: 1.9882 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9882 2022/10/30 12:47:56 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 12:47:56 - mmengine - INFO - Epoch(train) [70][460/660] lr: 2.6462e-03 eta: 5:47:35 time: 1.0320 data_time: 0.0190 memory: 22681 loss: 2.0488 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0488 2022/10/30 12:48:17 - mmengine - INFO - Epoch(train) [70][480/660] lr: 2.6421e-03 eta: 5:47:14 time: 1.0309 data_time: 0.0190 memory: 22681 loss: 1.9093 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9093 2022/10/30 12:48:38 - mmengine - INFO - Epoch(train) [70][500/660] lr: 2.6381e-03 eta: 5:46:53 time: 1.0459 data_time: 0.0229 memory: 22681 loss: 1.9800 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9800 2022/10/30 12:48:59 - mmengine - INFO - Epoch(train) [70][520/660] lr: 2.6341e-03 eta: 5:46:32 time: 1.0358 data_time: 0.0204 memory: 22681 loss: 2.0027 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0027 2022/10/30 12:49:19 - mmengine - INFO - Epoch(train) [70][540/660] lr: 2.6300e-03 eta: 5:46:11 time: 1.0330 data_time: 0.0203 memory: 22681 loss: 1.8763 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8763 2022/10/30 12:49:40 - mmengine - INFO - Epoch(train) [70][560/660] lr: 2.6260e-03 eta: 5:45:50 time: 1.0327 data_time: 0.0195 memory: 22681 loss: 1.7848 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7848 2022/10/30 12:50:01 - mmengine - INFO - Epoch(train) [70][580/660] lr: 2.6220e-03 eta: 5:45:29 time: 1.0448 data_time: 0.0231 memory: 22681 loss: 1.9437 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9437 2022/10/30 12:50:22 - mmengine - INFO - Epoch(train) [70][600/660] lr: 2.6180e-03 eta: 5:45:09 time: 1.0341 data_time: 0.0190 memory: 22681 loss: 1.8754 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8754 2022/10/30 12:50:42 - mmengine - INFO - Epoch(train) [70][620/660] lr: 2.6139e-03 eta: 5:44:48 time: 1.0347 data_time: 0.0201 memory: 22681 loss: 1.9990 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9990 2022/10/30 12:51:03 - mmengine - INFO - Epoch(train) [70][640/660] lr: 2.6099e-03 eta: 5:44:27 time: 1.0304 data_time: 0.0189 memory: 22681 loss: 1.9025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9025 2022/10/30 12:51:23 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 12:51:23 - mmengine - INFO - Epoch(train) [70][660/660] lr: 2.6059e-03 eta: 5:44:06 time: 1.0158 data_time: 0.0208 memory: 22681 loss: 1.8525 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.8525 2022/10/30 12:51:26 - mmengine - INFO - Epoch(val) [70][20/194] eta: 0:00:23 time: 0.1343 data_time: 0.0332 memory: 2517 2022/10/30 12:51:28 - mmengine - INFO - Epoch(val) [70][40/194] eta: 0:00:16 time: 0.1088 data_time: 0.0075 memory: 2517 2022/10/30 12:51:30 - mmengine - INFO - Epoch(val) [70][60/194] eta: 0:00:14 time: 0.1085 data_time: 0.0074 memory: 2517 2022/10/30 12:51:32 - mmengine - INFO - Epoch(val) [70][80/194] eta: 0:00:12 time: 0.1081 data_time: 0.0073 memory: 2517 2022/10/30 12:51:35 - mmengine - INFO - Epoch(val) [70][100/194] eta: 0:00:10 time: 0.1084 data_time: 0.0074 memory: 2517 2022/10/30 12:51:37 - mmengine - INFO - Epoch(val) [70][120/194] eta: 0:00:07 time: 0.1081 data_time: 0.0071 memory: 2517 2022/10/30 12:51:39 - mmengine - INFO - Epoch(val) [70][140/194] eta: 0:00:05 time: 0.1098 data_time: 0.0083 memory: 2517 2022/10/30 12:51:41 - mmengine - INFO - Epoch(val) [70][160/194] eta: 0:00:03 time: 0.1088 data_time: 0.0078 memory: 2517 2022/10/30 12:51:43 - mmengine - INFO - Epoch(val) [70][180/194] eta: 0:00:01 time: 0.1093 data_time: 0.0081 memory: 2517 2022/10/30 12:51:46 - mmengine - INFO - Epoch(val) [70][194/194] acc/top1: 0.6601 acc/top5: 0.9044 acc/mean1: 0.5974 2022/10/30 12:52:15 - mmengine - INFO - Epoch(train) [71][20/660] lr: 2.6019e-03 eta: 5:43:48 time: 1.4409 data_time: 0.2220 memory: 22681 loss: 1.8447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8447 2022/10/30 12:52:36 - mmengine - INFO - Epoch(train) [71][40/660] lr: 2.5979e-03 eta: 5:43:27 time: 1.0206 data_time: 0.0184 memory: 22681 loss: 1.9425 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.9425 2022/10/30 12:52:56 - mmengine - INFO - Epoch(train) [71][60/660] lr: 2.5939e-03 eta: 5:43:06 time: 1.0216 data_time: 0.0190 memory: 22681 loss: 1.9456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9456 2022/10/30 12:53:17 - mmengine - INFO - Epoch(train) [71][80/660] lr: 2.5899e-03 eta: 5:42:45 time: 1.0249 data_time: 0.0203 memory: 22681 loss: 2.0209 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0209 2022/10/30 12:53:37 - mmengine - INFO - Epoch(train) [71][100/660] lr: 2.5858e-03 eta: 5:42:24 time: 1.0404 data_time: 0.0248 memory: 22681 loss: 1.9636 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9636 2022/10/30 12:53:58 - mmengine - INFO - Epoch(train) [71][120/660] lr: 2.5818e-03 eta: 5:42:03 time: 1.0284 data_time: 0.0186 memory: 22681 loss: 1.8925 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8925 2022/10/30 12:54:18 - mmengine - INFO - Epoch(train) [71][140/660] lr: 2.5778e-03 eta: 5:41:42 time: 1.0226 data_time: 0.0190 memory: 22681 loss: 2.0523 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0523 2022/10/30 12:54:39 - mmengine - INFO - Epoch(train) [71][160/660] lr: 2.5738e-03 eta: 5:41:21 time: 1.0229 data_time: 0.0189 memory: 22681 loss: 1.9275 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9275 2022/10/30 12:55:00 - mmengine - INFO - Epoch(train) [71][180/660] lr: 2.5699e-03 eta: 5:41:00 time: 1.0426 data_time: 0.0248 memory: 22681 loss: 2.0285 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.0285 2022/10/30 12:55:20 - mmengine - INFO - Epoch(train) [71][200/660] lr: 2.5659e-03 eta: 5:40:39 time: 1.0330 data_time: 0.0184 memory: 22681 loss: 1.8114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8114 2022/10/30 12:55:41 - mmengine - INFO - Epoch(train) [71][220/660] lr: 2.5619e-03 eta: 5:40:18 time: 1.0322 data_time: 0.0195 memory: 22681 loss: 1.8849 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8849 2022/10/30 12:56:02 - mmengine - INFO - Epoch(train) [71][240/660] lr: 2.5579e-03 eta: 5:39:57 time: 1.0298 data_time: 0.0202 memory: 22681 loss: 1.9730 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9730 2022/10/30 12:56:23 - mmengine - INFO - Epoch(train) [71][260/660] lr: 2.5539e-03 eta: 5:39:37 time: 1.0426 data_time: 0.0251 memory: 22681 loss: 1.9283 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9283 2022/10/30 12:56:43 - mmengine - INFO - Epoch(train) [71][280/660] lr: 2.5499e-03 eta: 5:39:16 time: 1.0424 data_time: 0.0188 memory: 22681 loss: 2.0232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0232 2022/10/30 12:57:04 - mmengine - INFO - Epoch(train) [71][300/660] lr: 2.5459e-03 eta: 5:38:55 time: 1.0285 data_time: 0.0188 memory: 22681 loss: 1.7810 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7810 2022/10/30 12:57:25 - mmengine - INFO - Epoch(train) [71][320/660] lr: 2.5419e-03 eta: 5:38:34 time: 1.0308 data_time: 0.0206 memory: 22681 loss: 1.9422 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9422 2022/10/30 12:57:46 - mmengine - INFO - Epoch(train) [71][340/660] lr: 2.5380e-03 eta: 5:38:13 time: 1.0454 data_time: 0.0255 memory: 22681 loss: 1.9852 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9852 2022/10/30 12:58:06 - mmengine - INFO - Epoch(train) [71][360/660] lr: 2.5340e-03 eta: 5:37:52 time: 1.0354 data_time: 0.0189 memory: 22681 loss: 1.9390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9390 2022/10/30 12:58:27 - mmengine - INFO - Epoch(train) [71][380/660] lr: 2.5300e-03 eta: 5:37:31 time: 1.0266 data_time: 0.0193 memory: 22681 loss: 1.9365 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9365 2022/10/30 12:58:47 - mmengine - INFO - Epoch(train) [71][400/660] lr: 2.5260e-03 eta: 5:37:10 time: 1.0306 data_time: 0.0191 memory: 22681 loss: 2.0619 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.0619 2022/10/30 12:59:08 - mmengine - INFO - Epoch(train) [71][420/660] lr: 2.5221e-03 eta: 5:36:49 time: 1.0477 data_time: 0.0275 memory: 22681 loss: 1.9991 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9991 2022/10/30 12:59:29 - mmengine - INFO - Epoch(train) [71][440/660] lr: 2.5181e-03 eta: 5:36:28 time: 1.0349 data_time: 0.0179 memory: 22681 loss: 2.0068 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0068 2022/10/30 12:59:50 - mmengine - INFO - Epoch(train) [71][460/660] lr: 2.5142e-03 eta: 5:36:07 time: 1.0256 data_time: 0.0185 memory: 22681 loss: 1.8656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8656 2022/10/30 13:00:10 - mmengine - INFO - Epoch(train) [71][480/660] lr: 2.5102e-03 eta: 5:35:46 time: 1.0308 data_time: 0.0178 memory: 22681 loss: 2.0533 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0533 2022/10/30 13:00:31 - mmengine - INFO - Epoch(train) [71][500/660] lr: 2.5062e-03 eta: 5:35:26 time: 1.0474 data_time: 0.0231 memory: 22681 loss: 1.9207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9207 2022/10/30 13:00:52 - mmengine - INFO - Epoch(train) [71][520/660] lr: 2.5023e-03 eta: 5:35:05 time: 1.0345 data_time: 0.0187 memory: 22681 loss: 2.0068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0068 2022/10/30 13:01:12 - mmengine - INFO - Epoch(train) [71][540/660] lr: 2.4983e-03 eta: 5:34:44 time: 1.0311 data_time: 0.0189 memory: 22681 loss: 1.8600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8600 2022/10/30 13:01:33 - mmengine - INFO - Epoch(train) [71][560/660] lr: 2.4944e-03 eta: 5:34:23 time: 1.0319 data_time: 0.0185 memory: 22681 loss: 1.8274 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8274 2022/10/30 13:01:54 - mmengine - INFO - Epoch(train) [71][580/660] lr: 2.4904e-03 eta: 5:34:02 time: 1.0453 data_time: 0.0244 memory: 22681 loss: 1.8185 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8185 2022/10/30 13:02:15 - mmengine - INFO - Epoch(train) [71][600/660] lr: 2.4865e-03 eta: 5:33:41 time: 1.0344 data_time: 0.0183 memory: 22681 loss: 1.9698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9698 2022/10/30 13:02:35 - mmengine - INFO - Epoch(train) [71][620/660] lr: 2.4825e-03 eta: 5:33:20 time: 1.0270 data_time: 0.0194 memory: 22681 loss: 1.8790 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8790 2022/10/30 13:02:56 - mmengine - INFO - Epoch(train) [71][640/660] lr: 2.4786e-03 eta: 5:32:59 time: 1.0269 data_time: 0.0195 memory: 22681 loss: 1.8857 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8857 2022/10/30 13:03:16 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 13:03:16 - mmengine - INFO - Epoch(train) [71][660/660] lr: 2.4746e-03 eta: 5:32:38 time: 1.0172 data_time: 0.0202 memory: 22681 loss: 1.6531 top1_acc: 0.6429 top5_acc: 0.9286 loss_cls: 1.6531 2022/10/30 13:03:19 - mmengine - INFO - Epoch(val) [71][20/194] eta: 0:00:23 time: 0.1356 data_time: 0.0333 memory: 2517 2022/10/30 13:03:21 - mmengine - INFO - Epoch(val) [71][40/194] eta: 0:00:16 time: 0.1086 data_time: 0.0078 memory: 2517 2022/10/30 13:03:23 - mmengine - INFO - Epoch(val) [71][60/194] eta: 0:00:14 time: 0.1086 data_time: 0.0079 memory: 2517 2022/10/30 13:03:25 - mmengine - INFO - Epoch(val) [71][80/194] eta: 0:00:12 time: 0.1082 data_time: 0.0075 memory: 2517 2022/10/30 13:03:27 - mmengine - INFO - Epoch(val) [71][100/194] eta: 0:00:10 time: 0.1082 data_time: 0.0075 memory: 2517 2022/10/30 13:03:30 - mmengine - INFO - Epoch(val) [71][120/194] eta: 0:00:08 time: 0.1083 data_time: 0.0074 memory: 2517 2022/10/30 13:03:32 - mmengine - INFO - Epoch(val) [71][140/194] eta: 0:00:05 time: 0.1089 data_time: 0.0078 memory: 2517 2022/10/30 13:03:34 - mmengine - INFO - Epoch(val) [71][160/194] eta: 0:00:03 time: 0.1094 data_time: 0.0078 memory: 2517 2022/10/30 13:03:36 - mmengine - INFO - Epoch(val) [71][180/194] eta: 0:00:01 time: 0.1092 data_time: 0.0077 memory: 2517 2022/10/30 13:03:39 - mmengine - INFO - Epoch(val) [71][194/194] acc/top1: 0.6647 acc/top5: 0.9064 acc/mean1: 0.5958 2022/10/30 13:03:39 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_69.pth is removed 2022/10/30 13:03:41 - mmengine - INFO - The best checkpoint with 0.6647 acc/top1 at 71 epoch is saved to best_acc/top1_epoch_71.pth. 2022/10/30 13:04:09 - mmengine - INFO - Epoch(train) [72][20/660] lr: 2.4707e-03 eta: 5:32:20 time: 1.4103 data_time: 0.3147 memory: 22681 loss: 1.8671 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8671 2022/10/30 13:04:29 - mmengine - INFO - Epoch(train) [72][40/660] lr: 2.4668e-03 eta: 5:31:59 time: 1.0224 data_time: 0.0201 memory: 22681 loss: 1.9580 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9580 2022/10/30 13:04:50 - mmengine - INFO - Epoch(train) [72][60/660] lr: 2.4628e-03 eta: 5:31:38 time: 1.0245 data_time: 0.0195 memory: 22681 loss: 1.9706 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9706 2022/10/30 13:05:10 - mmengine - INFO - Epoch(train) [72][80/660] lr: 2.4589e-03 eta: 5:31:17 time: 1.0245 data_time: 0.0208 memory: 22681 loss: 2.0225 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0225 2022/10/30 13:05:31 - mmengine - INFO - Epoch(train) [72][100/660] lr: 2.4550e-03 eta: 5:30:56 time: 1.0374 data_time: 0.0227 memory: 22681 loss: 1.8650 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8650 2022/10/30 13:05:52 - mmengine - INFO - Epoch(train) [72][120/660] lr: 2.4511e-03 eta: 5:30:35 time: 1.0268 data_time: 0.0180 memory: 22681 loss: 1.9089 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9089 2022/10/30 13:06:12 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 13:06:12 - mmengine - INFO - Epoch(train) [72][140/660] lr: 2.4471e-03 eta: 5:30:14 time: 1.0222 data_time: 0.0186 memory: 22681 loss: 1.9343 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9343 2022/10/30 13:06:32 - mmengine - INFO - Epoch(train) [72][160/660] lr: 2.4432e-03 eta: 5:29:53 time: 1.0225 data_time: 0.0191 memory: 22681 loss: 1.8842 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8842 2022/10/30 13:06:53 - mmengine - INFO - Epoch(train) [72][180/660] lr: 2.4393e-03 eta: 5:29:32 time: 1.0348 data_time: 0.0223 memory: 22681 loss: 1.9138 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9138 2022/10/30 13:07:14 - mmengine - INFO - Epoch(train) [72][200/660] lr: 2.4354e-03 eta: 5:29:11 time: 1.0280 data_time: 0.0196 memory: 22681 loss: 1.8757 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8757 2022/10/30 13:07:34 - mmengine - INFO - Epoch(train) [72][220/660] lr: 2.4315e-03 eta: 5:28:50 time: 1.0212 data_time: 0.0203 memory: 22681 loss: 1.9372 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9372 2022/10/30 13:07:55 - mmengine - INFO - Epoch(train) [72][240/660] lr: 2.4276e-03 eta: 5:28:29 time: 1.0246 data_time: 0.0215 memory: 22681 loss: 1.7939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7939 2022/10/30 13:08:16 - mmengine - INFO - Epoch(train) [72][260/660] lr: 2.4236e-03 eta: 5:28:08 time: 1.0419 data_time: 0.0292 memory: 22681 loss: 1.8634 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8634 2022/10/30 13:08:36 - mmengine - INFO - Epoch(train) [72][280/660] lr: 2.4197e-03 eta: 5:27:47 time: 1.0309 data_time: 0.0191 memory: 22681 loss: 1.9582 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9582 2022/10/30 13:08:57 - mmengine - INFO - Epoch(train) [72][300/660] lr: 2.4158e-03 eta: 5:27:26 time: 1.0223 data_time: 0.0184 memory: 22681 loss: 1.9120 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9120 2022/10/30 13:09:17 - mmengine - INFO - Epoch(train) [72][320/660] lr: 2.4119e-03 eta: 5:27:05 time: 1.0220 data_time: 0.0196 memory: 22681 loss: 1.9436 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9436 2022/10/30 13:09:38 - mmengine - INFO - Epoch(train) [72][340/660] lr: 2.4080e-03 eta: 5:26:44 time: 1.0406 data_time: 0.0236 memory: 22681 loss: 1.8844 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8844 2022/10/30 13:09:58 - mmengine - INFO - Epoch(train) [72][360/660] lr: 2.4041e-03 eta: 5:26:23 time: 1.0281 data_time: 0.0196 memory: 22681 loss: 1.8913 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8913 2022/10/30 13:10:19 - mmengine - INFO - Epoch(train) [72][380/660] lr: 2.4002e-03 eta: 5:26:02 time: 1.0244 data_time: 0.0204 memory: 22681 loss: 1.9766 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9766 2022/10/30 13:10:39 - mmengine - INFO - Epoch(train) [72][400/660] lr: 2.3964e-03 eta: 5:25:41 time: 1.0214 data_time: 0.0187 memory: 22681 loss: 2.0256 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0256 2022/10/30 13:11:00 - mmengine - INFO - Epoch(train) [72][420/660] lr: 2.3925e-03 eta: 5:25:20 time: 1.0357 data_time: 0.0239 memory: 22681 loss: 2.0940 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0940 2022/10/30 13:11:21 - mmengine - INFO - Epoch(train) [72][440/660] lr: 2.3886e-03 eta: 5:25:00 time: 1.0306 data_time: 0.0195 memory: 22681 loss: 1.8967 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8967 2022/10/30 13:11:41 - mmengine - INFO - Epoch(train) [72][460/660] lr: 2.3847e-03 eta: 5:24:39 time: 1.0211 data_time: 0.0187 memory: 22681 loss: 1.8374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8374 2022/10/30 13:12:02 - mmengine - INFO - Epoch(train) [72][480/660] lr: 2.3808e-03 eta: 5:24:18 time: 1.0228 data_time: 0.0188 memory: 22681 loss: 1.8815 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8815 2022/10/30 13:12:22 - mmengine - INFO - Epoch(train) [72][500/660] lr: 2.3769e-03 eta: 5:23:57 time: 1.0375 data_time: 0.0236 memory: 22681 loss: 1.9593 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9593 2022/10/30 13:12:43 - mmengine - INFO - Epoch(train) [72][520/660] lr: 2.3731e-03 eta: 5:23:36 time: 1.0276 data_time: 0.0183 memory: 22681 loss: 1.9657 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9657 2022/10/30 13:13:03 - mmengine - INFO - Epoch(train) [72][540/660] lr: 2.3692e-03 eta: 5:23:15 time: 1.0231 data_time: 0.0191 memory: 22681 loss: 1.8150 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8150 2022/10/30 13:13:24 - mmengine - INFO - Epoch(train) [72][560/660] lr: 2.3653e-03 eta: 5:22:54 time: 1.0260 data_time: 0.0207 memory: 22681 loss: 1.9090 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9090 2022/10/30 13:13:45 - mmengine - INFO - Epoch(train) [72][580/660] lr: 2.3614e-03 eta: 5:22:33 time: 1.0389 data_time: 0.0245 memory: 22681 loss: 1.9921 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9921 2022/10/30 13:14:05 - mmengine - INFO - Epoch(train) [72][600/660] lr: 2.3576e-03 eta: 5:22:12 time: 1.0276 data_time: 0.0199 memory: 22681 loss: 1.9492 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9492 2022/10/30 13:14:26 - mmengine - INFO - Epoch(train) [72][620/660] lr: 2.3537e-03 eta: 5:21:51 time: 1.0311 data_time: 0.0202 memory: 22681 loss: 1.8117 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8117 2022/10/30 13:14:46 - mmengine - INFO - Epoch(train) [72][640/660] lr: 2.3498e-03 eta: 5:21:30 time: 1.0214 data_time: 0.0216 memory: 22681 loss: 1.9980 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9980 2022/10/30 13:15:07 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 13:15:07 - mmengine - INFO - Epoch(train) [72][660/660] lr: 2.3460e-03 eta: 5:21:09 time: 1.0150 data_time: 0.0222 memory: 22681 loss: 1.9201 top1_acc: 0.6429 top5_acc: 0.9286 loss_cls: 1.9201 2022/10/30 13:15:07 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/10/30 13:15:10 - mmengine - INFO - Epoch(val) [72][20/194] eta: 0:00:22 time: 0.1276 data_time: 0.0245 memory: 2517 2022/10/30 13:15:13 - mmengine - INFO - Epoch(val) [72][40/194] eta: 0:00:16 time: 0.1087 data_time: 0.0077 memory: 2517 2022/10/30 13:15:15 - mmengine - INFO - Epoch(val) [72][60/194] eta: 0:00:14 time: 0.1089 data_time: 0.0074 memory: 2517 2022/10/30 13:15:17 - mmengine - INFO - Epoch(val) [72][80/194] eta: 0:00:12 time: 0.1084 data_time: 0.0073 memory: 2517 2022/10/30 13:15:19 - mmengine - INFO - Epoch(val) [72][100/194] eta: 0:00:10 time: 0.1092 data_time: 0.0074 memory: 2517 2022/10/30 13:15:21 - mmengine - INFO - Epoch(val) [72][120/194] eta: 0:00:08 time: 0.1086 data_time: 0.0074 memory: 2517 2022/10/30 13:15:23 - mmengine - INFO - Epoch(val) [72][140/194] eta: 0:00:05 time: 0.1080 data_time: 0.0069 memory: 2517 2022/10/30 13:15:26 - mmengine - INFO - Epoch(val) [72][160/194] eta: 0:00:03 time: 0.1093 data_time: 0.0075 memory: 2517 2022/10/30 13:15:28 - mmengine - INFO - Epoch(val) [72][180/194] eta: 0:00:01 time: 0.1110 data_time: 0.0088 memory: 2517 2022/10/30 13:15:30 - mmengine - INFO - Epoch(val) [72][194/194] acc/top1: 0.6634 acc/top5: 0.9053 acc/mean1: 0.6007 2022/10/30 13:16:00 - mmengine - INFO - Epoch(train) [73][20/660] lr: 2.3421e-03 eta: 5:20:51 time: 1.4636 data_time: 0.3151 memory: 22681 loss: 1.9079 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.9079 2022/10/30 13:16:20 - mmengine - INFO - Epoch(train) [73][40/660] lr: 2.3383e-03 eta: 5:20:30 time: 1.0272 data_time: 0.0191 memory: 22681 loss: 1.8885 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8885 2022/10/30 13:16:41 - mmengine - INFO - Epoch(train) [73][60/660] lr: 2.3344e-03 eta: 5:20:09 time: 1.0260 data_time: 0.0190 memory: 22681 loss: 1.8226 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8226 2022/10/30 13:17:01 - mmengine - INFO - Epoch(train) [73][80/660] lr: 2.3306e-03 eta: 5:19:48 time: 1.0275 data_time: 0.0187 memory: 22681 loss: 1.9238 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9238 2022/10/30 13:17:22 - mmengine - INFO - Epoch(train) [73][100/660] lr: 2.3267e-03 eta: 5:19:27 time: 1.0419 data_time: 0.0230 memory: 22681 loss: 2.0228 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0228 2022/10/30 13:17:43 - mmengine - INFO - Epoch(train) [73][120/660] lr: 2.3229e-03 eta: 5:19:06 time: 1.0363 data_time: 0.0190 memory: 22681 loss: 1.9194 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9194 2022/10/30 13:18:03 - mmengine - INFO - Epoch(train) [73][140/660] lr: 2.3190e-03 eta: 5:18:45 time: 1.0307 data_time: 0.0204 memory: 22681 loss: 1.9607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9607 2022/10/30 13:18:24 - mmengine - INFO - Epoch(train) [73][160/660] lr: 2.3152e-03 eta: 5:18:25 time: 1.0297 data_time: 0.0195 memory: 22681 loss: 1.9846 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9846 2022/10/30 13:18:45 - mmengine - INFO - Epoch(train) [73][180/660] lr: 2.3114e-03 eta: 5:18:04 time: 1.0418 data_time: 0.0245 memory: 22681 loss: 1.9136 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9136 2022/10/30 13:19:06 - mmengine - INFO - Epoch(train) [73][200/660] lr: 2.3075e-03 eta: 5:17:43 time: 1.0387 data_time: 0.0201 memory: 22681 loss: 1.9210 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9210 2022/10/30 13:19:26 - mmengine - INFO - Epoch(train) [73][220/660] lr: 2.3037e-03 eta: 5:17:22 time: 1.0344 data_time: 0.0191 memory: 22681 loss: 1.9056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9056 2022/10/30 13:19:47 - mmengine - INFO - Epoch(train) [73][240/660] lr: 2.2999e-03 eta: 5:17:01 time: 1.0340 data_time: 0.0197 memory: 22681 loss: 1.8896 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8896 2022/10/30 13:20:08 - mmengine - INFO - Epoch(train) [73][260/660] lr: 2.2960e-03 eta: 5:16:40 time: 1.0509 data_time: 0.0255 memory: 22681 loss: 1.9445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9445 2022/10/30 13:20:29 - mmengine - INFO - Epoch(train) [73][280/660] lr: 2.2922e-03 eta: 5:16:19 time: 1.0490 data_time: 0.0186 memory: 22681 loss: 1.8052 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8052 2022/10/30 13:20:50 - mmengine - INFO - Epoch(train) [73][300/660] lr: 2.2884e-03 eta: 5:15:58 time: 1.0382 data_time: 0.0226 memory: 22681 loss: 1.8713 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8713 2022/10/30 13:21:10 - mmengine - INFO - Epoch(train) [73][320/660] lr: 2.2846e-03 eta: 5:15:38 time: 1.0338 data_time: 0.0197 memory: 22681 loss: 1.7934 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7934 2022/10/30 13:21:31 - mmengine - INFO - Epoch(train) [73][340/660] lr: 2.2808e-03 eta: 5:15:17 time: 1.0504 data_time: 0.0238 memory: 22681 loss: 1.8776 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8776 2022/10/30 13:21:52 - mmengine - INFO - Epoch(train) [73][360/660] lr: 2.2769e-03 eta: 5:14:56 time: 1.0478 data_time: 0.0197 memory: 22681 loss: 1.9578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9578 2022/10/30 13:22:13 - mmengine - INFO - Epoch(train) [73][380/660] lr: 2.2731e-03 eta: 5:14:35 time: 1.0376 data_time: 0.0201 memory: 22681 loss: 1.9557 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9557 2022/10/30 13:22:34 - mmengine - INFO - Epoch(train) [73][400/660] lr: 2.2693e-03 eta: 5:14:14 time: 1.0386 data_time: 0.0219 memory: 22681 loss: 1.9004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9004 2022/10/30 13:22:55 - mmengine - INFO - Epoch(train) [73][420/660] lr: 2.2655e-03 eta: 5:13:53 time: 1.0499 data_time: 0.0243 memory: 22681 loss: 1.9915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9915 2022/10/30 13:23:16 - mmengine - INFO - Epoch(train) [73][440/660] lr: 2.2617e-03 eta: 5:13:32 time: 1.0485 data_time: 0.0196 memory: 22681 loss: 1.8413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8413 2022/10/30 13:23:37 - mmengine - INFO - Epoch(train) [73][460/660] lr: 2.2579e-03 eta: 5:13:12 time: 1.0339 data_time: 0.0197 memory: 22681 loss: 1.8138 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8138 2022/10/30 13:23:57 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 13:23:57 - mmengine - INFO - Epoch(train) [73][480/660] lr: 2.2541e-03 eta: 5:12:51 time: 1.0335 data_time: 0.0194 memory: 22681 loss: 1.9283 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9283 2022/10/30 13:24:18 - mmengine - INFO - Epoch(train) [73][500/660] lr: 2.2503e-03 eta: 5:12:30 time: 1.0504 data_time: 0.0229 memory: 22681 loss: 1.8157 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8157 2022/10/30 13:24:39 - mmengine - INFO - Epoch(train) [73][520/660] lr: 2.2465e-03 eta: 5:12:09 time: 1.0502 data_time: 0.0215 memory: 22681 loss: 1.9224 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9224 2022/10/30 13:25:00 - mmengine - INFO - Epoch(train) [73][540/660] lr: 2.2427e-03 eta: 5:11:48 time: 1.0372 data_time: 0.0217 memory: 22681 loss: 1.8333 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8333 2022/10/30 13:25:21 - mmengine - INFO - Epoch(train) [73][560/660] lr: 2.2389e-03 eta: 5:11:27 time: 1.0331 data_time: 0.0190 memory: 22681 loss: 1.9152 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9152 2022/10/30 13:25:42 - mmengine - INFO - Epoch(train) [73][580/660] lr: 2.2352e-03 eta: 5:11:06 time: 1.0473 data_time: 0.0259 memory: 22681 loss: 2.0077 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0077 2022/10/30 13:26:02 - mmengine - INFO - Epoch(train) [73][600/660] lr: 2.2314e-03 eta: 5:10:46 time: 1.0408 data_time: 0.0196 memory: 22681 loss: 1.8566 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8566 2022/10/30 13:26:23 - mmengine - INFO - Epoch(train) [73][620/660] lr: 2.2276e-03 eta: 5:10:25 time: 1.0348 data_time: 0.0203 memory: 22681 loss: 1.8895 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8895 2022/10/30 13:26:44 - mmengine - INFO - Epoch(train) [73][640/660] lr: 2.2238e-03 eta: 5:10:04 time: 1.0303 data_time: 0.0199 memory: 22681 loss: 1.9155 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9155 2022/10/30 13:27:04 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 13:27:04 - mmengine - INFO - Epoch(train) [73][660/660] lr: 2.2200e-03 eta: 5:09:43 time: 1.0227 data_time: 0.0198 memory: 22681 loss: 2.0154 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.0154 2022/10/30 13:27:07 - mmengine - INFO - Epoch(val) [73][20/194] eta: 0:00:22 time: 0.1303 data_time: 0.0276 memory: 2517 2022/10/30 13:27:09 - mmengine - INFO - Epoch(val) [73][40/194] eta: 0:00:16 time: 0.1094 data_time: 0.0081 memory: 2517 2022/10/30 13:27:11 - mmengine - INFO - Epoch(val) [73][60/194] eta: 0:00:14 time: 0.1077 data_time: 0.0070 memory: 2517 2022/10/30 13:27:13 - mmengine - INFO - Epoch(val) [73][80/194] eta: 0:00:12 time: 0.1086 data_time: 0.0074 memory: 2517 2022/10/30 13:27:15 - mmengine - INFO - Epoch(val) [73][100/194] eta: 0:00:10 time: 0.1080 data_time: 0.0071 memory: 2517 2022/10/30 13:27:18 - mmengine - INFO - Epoch(val) [73][120/194] eta: 0:00:07 time: 0.1081 data_time: 0.0071 memory: 2517 2022/10/30 13:27:20 - mmengine - INFO - Epoch(val) [73][140/194] eta: 0:00:05 time: 0.1081 data_time: 0.0073 memory: 2517 2022/10/30 13:27:22 - mmengine - INFO - Epoch(val) [73][160/194] eta: 0:00:03 time: 0.1095 data_time: 0.0078 memory: 2517 2022/10/30 13:27:24 - mmengine - INFO - Epoch(val) [73][180/194] eta: 0:00:01 time: 0.1095 data_time: 0.0075 memory: 2517 2022/10/30 13:27:27 - mmengine - INFO - Epoch(val) [73][194/194] acc/top1: 0.6634 acc/top5: 0.9046 acc/mean1: 0.5988 2022/10/30 13:27:57 - mmengine - INFO - Epoch(train) [74][20/660] lr: 2.2163e-03 eta: 5:09:25 time: 1.4805 data_time: 0.2793 memory: 22681 loss: 1.8884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8884 2022/10/30 13:28:17 - mmengine - INFO - Epoch(train) [74][40/660] lr: 2.2125e-03 eta: 5:09:04 time: 1.0210 data_time: 0.0184 memory: 22681 loss: 1.9102 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9102 2022/10/30 13:28:38 - mmengine - INFO - Epoch(train) [74][60/660] lr: 2.2087e-03 eta: 5:08:43 time: 1.0271 data_time: 0.0188 memory: 22681 loss: 2.0993 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0993 2022/10/30 13:28:58 - mmengine - INFO - Epoch(train) [74][80/660] lr: 2.2050e-03 eta: 5:08:22 time: 1.0223 data_time: 0.0194 memory: 22681 loss: 1.8944 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8944 2022/10/30 13:29:19 - mmengine - INFO - Epoch(train) [74][100/660] lr: 2.2012e-03 eta: 5:08:01 time: 1.0333 data_time: 0.0252 memory: 22681 loss: 1.9258 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9258 2022/10/30 13:29:39 - mmengine - INFO - Epoch(train) [74][120/660] lr: 2.1974e-03 eta: 5:07:40 time: 1.0258 data_time: 0.0201 memory: 22681 loss: 1.8960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8960 2022/10/30 13:30:00 - mmengine - INFO - Epoch(train) [74][140/660] lr: 2.1937e-03 eta: 5:07:19 time: 1.0260 data_time: 0.0202 memory: 22681 loss: 1.9588 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9588 2022/10/30 13:30:21 - mmengine - INFO - Epoch(train) [74][160/660] lr: 2.1899e-03 eta: 5:06:58 time: 1.0300 data_time: 0.0224 memory: 22681 loss: 2.1081 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1081 2022/10/30 13:30:41 - mmengine - INFO - Epoch(train) [74][180/660] lr: 2.1862e-03 eta: 5:06:37 time: 1.0416 data_time: 0.0292 memory: 22681 loss: 1.8159 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8159 2022/10/30 13:31:02 - mmengine - INFO - Epoch(train) [74][200/660] lr: 2.1824e-03 eta: 5:06:16 time: 1.0270 data_time: 0.0196 memory: 22681 loss: 1.9268 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9268 2022/10/30 13:31:23 - mmengine - INFO - Epoch(train) [74][220/660] lr: 2.1787e-03 eta: 5:05:55 time: 1.0268 data_time: 0.0191 memory: 22681 loss: 1.8184 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8184 2022/10/30 13:31:43 - mmengine - INFO - Epoch(train) [74][240/660] lr: 2.1749e-03 eta: 5:05:34 time: 1.0235 data_time: 0.0201 memory: 22681 loss: 1.8662 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8662 2022/10/30 13:32:04 - mmengine - INFO - Epoch(train) [74][260/660] lr: 2.1712e-03 eta: 5:05:13 time: 1.0361 data_time: 0.0238 memory: 22681 loss: 1.8394 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8394 2022/10/30 13:32:24 - mmengine - INFO - Epoch(train) [74][280/660] lr: 2.1675e-03 eta: 5:04:52 time: 1.0245 data_time: 0.0185 memory: 22681 loss: 1.8974 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8974 2022/10/30 13:32:45 - mmengine - INFO - Epoch(train) [74][300/660] lr: 2.1637e-03 eta: 5:04:31 time: 1.0242 data_time: 0.0225 memory: 22681 loss: 1.9055 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9055 2022/10/30 13:33:05 - mmengine - INFO - Epoch(train) [74][320/660] lr: 2.1600e-03 eta: 5:04:10 time: 1.0235 data_time: 0.0198 memory: 22681 loss: 1.9230 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9230 2022/10/30 13:33:26 - mmengine - INFO - Epoch(train) [74][340/660] lr: 2.1563e-03 eta: 5:03:50 time: 1.0358 data_time: 0.0237 memory: 22681 loss: 1.9616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9616 2022/10/30 13:33:46 - mmengine - INFO - Epoch(train) [74][360/660] lr: 2.1525e-03 eta: 5:03:28 time: 1.0203 data_time: 0.0196 memory: 22681 loss: 1.8994 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8994 2022/10/30 13:34:07 - mmengine - INFO - Epoch(train) [74][380/660] lr: 2.1488e-03 eta: 5:03:08 time: 1.0240 data_time: 0.0189 memory: 22681 loss: 1.9024 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9024 2022/10/30 13:34:27 - mmengine - INFO - Epoch(train) [74][400/660] lr: 2.1451e-03 eta: 5:02:46 time: 1.0210 data_time: 0.0193 memory: 22681 loss: 1.8722 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8722 2022/10/30 13:34:48 - mmengine - INFO - Epoch(train) [74][420/660] lr: 2.1414e-03 eta: 5:02:26 time: 1.0364 data_time: 0.0241 memory: 22681 loss: 1.9892 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9892 2022/10/30 13:35:08 - mmengine - INFO - Epoch(train) [74][440/660] lr: 2.1377e-03 eta: 5:02:05 time: 1.0276 data_time: 0.0191 memory: 22681 loss: 1.8434 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8434 2022/10/30 13:35:29 - mmengine - INFO - Epoch(train) [74][460/660] lr: 2.1339e-03 eta: 5:01:44 time: 1.0258 data_time: 0.0179 memory: 22681 loss: 1.8522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8522 2022/10/30 13:35:49 - mmengine - INFO - Epoch(train) [74][480/660] lr: 2.1302e-03 eta: 5:01:23 time: 1.0246 data_time: 0.0219 memory: 22681 loss: 1.8210 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8210 2022/10/30 13:36:10 - mmengine - INFO - Epoch(train) [74][500/660] lr: 2.1265e-03 eta: 5:01:02 time: 1.0433 data_time: 0.0242 memory: 22681 loss: 1.8708 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8708 2022/10/30 13:36:31 - mmengine - INFO - Epoch(train) [74][520/660] lr: 2.1228e-03 eta: 5:00:41 time: 1.0211 data_time: 0.0198 memory: 22681 loss: 1.8188 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8188 2022/10/30 13:36:51 - mmengine - INFO - Epoch(train) [74][540/660] lr: 2.1191e-03 eta: 5:00:20 time: 1.0238 data_time: 0.0190 memory: 22681 loss: 1.9774 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9774 2022/10/30 13:37:12 - mmengine - INFO - Epoch(train) [74][560/660] lr: 2.1154e-03 eta: 4:59:59 time: 1.0218 data_time: 0.0202 memory: 22681 loss: 1.9285 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9285 2022/10/30 13:37:32 - mmengine - INFO - Epoch(train) [74][580/660] lr: 2.1117e-03 eta: 4:59:38 time: 1.0363 data_time: 0.0247 memory: 22681 loss: 1.8476 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8476 2022/10/30 13:37:53 - mmengine - INFO - Epoch(train) [74][600/660] lr: 2.1080e-03 eta: 4:59:17 time: 1.0232 data_time: 0.0194 memory: 22681 loss: 2.0043 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.0043 2022/10/30 13:38:13 - mmengine - INFO - Epoch(train) [74][620/660] lr: 2.1043e-03 eta: 4:58:56 time: 1.0266 data_time: 0.0186 memory: 22681 loss: 1.9204 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9204 2022/10/30 13:38:34 - mmengine - INFO - Epoch(train) [74][640/660] lr: 2.1006e-03 eta: 4:58:35 time: 1.0233 data_time: 0.0208 memory: 22681 loss: 1.7875 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7875 2022/10/30 13:38:54 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 13:38:54 - mmengine - INFO - Epoch(train) [74][660/660] lr: 2.0969e-03 eta: 4:58:14 time: 1.0183 data_time: 0.0225 memory: 22681 loss: 2.0165 top1_acc: 0.7143 top5_acc: 0.9286 loss_cls: 2.0165 2022/10/30 13:38:57 - mmengine - INFO - Epoch(val) [74][20/194] eta: 0:00:23 time: 0.1353 data_time: 0.0314 memory: 2517 2022/10/30 13:38:59 - mmengine - INFO - Epoch(val) [74][40/194] eta: 0:00:16 time: 0.1096 data_time: 0.0074 memory: 2517 2022/10/30 13:39:01 - mmengine - INFO - Epoch(val) [74][60/194] eta: 0:00:14 time: 0.1092 data_time: 0.0072 memory: 2517 2022/10/30 13:39:04 - mmengine - INFO - Epoch(val) [74][80/194] eta: 0:00:12 time: 0.1089 data_time: 0.0073 memory: 2517 2022/10/30 13:39:06 - mmengine - INFO - Epoch(val) [74][100/194] eta: 0:00:10 time: 0.1082 data_time: 0.0070 memory: 2517 2022/10/30 13:39:08 - mmengine - INFO - Epoch(val) [74][120/194] eta: 0:00:08 time: 0.1082 data_time: 0.0071 memory: 2517 2022/10/30 13:39:10 - mmengine - INFO - Epoch(val) [74][140/194] eta: 0:00:05 time: 0.1087 data_time: 0.0073 memory: 2517 2022/10/30 13:39:12 - mmengine - INFO - Epoch(val) [74][160/194] eta: 0:00:03 time: 0.1082 data_time: 0.0074 memory: 2517 2022/10/30 13:39:14 - mmengine - INFO - Epoch(val) [74][180/194] eta: 0:00:01 time: 0.1090 data_time: 0.0076 memory: 2517 2022/10/30 13:39:18 - mmengine - INFO - Epoch(val) [74][194/194] acc/top1: 0.6651 acc/top5: 0.9069 acc/mean1: 0.6012 2022/10/30 13:39:18 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_71.pth is removed 2022/10/30 13:39:19 - mmengine - INFO - The best checkpoint with 0.6651 acc/top1 at 74 epoch is saved to best_acc/top1_epoch_74.pth. 2022/10/30 13:39:47 - mmengine - INFO - Epoch(train) [75][20/660] lr: 2.0933e-03 eta: 4:57:55 time: 1.3851 data_time: 0.2194 memory: 22681 loss: 1.9096 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9096 2022/10/30 13:40:08 - mmengine - INFO - Epoch(train) [75][40/660] lr: 2.0896e-03 eta: 4:57:34 time: 1.0267 data_time: 0.0207 memory: 22681 loss: 2.0072 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0072 2022/10/30 13:40:28 - mmengine - INFO - Epoch(train) [75][60/660] lr: 2.0859e-03 eta: 4:57:13 time: 1.0229 data_time: 0.0188 memory: 22681 loss: 1.8808 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8808 2022/10/30 13:40:49 - mmengine - INFO - Epoch(train) [75][80/660] lr: 2.0822e-03 eta: 4:56:52 time: 1.0232 data_time: 0.0187 memory: 22681 loss: 1.8753 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8753 2022/10/30 13:41:09 - mmengine - INFO - Epoch(train) [75][100/660] lr: 2.0785e-03 eta: 4:56:32 time: 1.0429 data_time: 0.0207 memory: 22681 loss: 1.8669 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8669 2022/10/30 13:41:30 - mmengine - INFO - Epoch(train) [75][120/660] lr: 2.0749e-03 eta: 4:56:11 time: 1.0261 data_time: 0.0216 memory: 22681 loss: 1.8782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8782 2022/10/30 13:41:50 - mmengine - INFO - Epoch(train) [75][140/660] lr: 2.0712e-03 eta: 4:55:50 time: 1.0257 data_time: 0.0198 memory: 22681 loss: 1.7198 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7198 2022/10/30 13:42:11 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 13:42:11 - mmengine - INFO - Epoch(train) [75][160/660] lr: 2.0675e-03 eta: 4:55:29 time: 1.0253 data_time: 0.0192 memory: 22681 loss: 1.8900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8900 2022/10/30 13:42:32 - mmengine - INFO - Epoch(train) [75][180/660] lr: 2.0639e-03 eta: 4:55:08 time: 1.0408 data_time: 0.0210 memory: 22681 loss: 1.9360 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9360 2022/10/30 13:42:52 - mmengine - INFO - Epoch(train) [75][200/660] lr: 2.0602e-03 eta: 4:54:47 time: 1.0292 data_time: 0.0218 memory: 22681 loss: 1.9673 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9673 2022/10/30 13:43:13 - mmengine - INFO - Epoch(train) [75][220/660] lr: 2.0566e-03 eta: 4:54:26 time: 1.0256 data_time: 0.0190 memory: 22681 loss: 1.9085 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9085 2022/10/30 13:43:33 - mmengine - INFO - Epoch(train) [75][240/660] lr: 2.0529e-03 eta: 4:54:05 time: 1.0262 data_time: 0.0193 memory: 22681 loss: 1.9269 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9269 2022/10/30 13:43:54 - mmengine - INFO - Epoch(train) [75][260/660] lr: 2.0493e-03 eta: 4:53:44 time: 1.0433 data_time: 0.0232 memory: 22681 loss: 2.0086 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0086 2022/10/30 13:44:15 - mmengine - INFO - Epoch(train) [75][280/660] lr: 2.0456e-03 eta: 4:53:23 time: 1.0326 data_time: 0.0219 memory: 22681 loss: 1.9439 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9439 2022/10/30 13:44:36 - mmengine - INFO - Epoch(train) [75][300/660] lr: 2.0420e-03 eta: 4:53:02 time: 1.0334 data_time: 0.0193 memory: 22681 loss: 1.8780 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8780 2022/10/30 13:44:56 - mmengine - INFO - Epoch(train) [75][320/660] lr: 2.0383e-03 eta: 4:52:41 time: 1.0287 data_time: 0.0192 memory: 22681 loss: 2.0530 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0530 2022/10/30 13:45:17 - mmengine - INFO - Epoch(train) [75][340/660] lr: 2.0347e-03 eta: 4:52:20 time: 1.0469 data_time: 0.0208 memory: 22681 loss: 1.9158 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9158 2022/10/30 13:45:38 - mmengine - INFO - Epoch(train) [75][360/660] lr: 2.0310e-03 eta: 4:52:00 time: 1.0374 data_time: 0.0221 memory: 22681 loss: 1.8308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8308 2022/10/30 13:45:58 - mmengine - INFO - Epoch(train) [75][380/660] lr: 2.0274e-03 eta: 4:51:39 time: 1.0279 data_time: 0.0189 memory: 22681 loss: 1.7638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7638 2022/10/30 13:46:19 - mmengine - INFO - Epoch(train) [75][400/660] lr: 2.0238e-03 eta: 4:51:18 time: 1.0308 data_time: 0.0197 memory: 22681 loss: 1.8421 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8421 2022/10/30 13:46:40 - mmengine - INFO - Epoch(train) [75][420/660] lr: 2.0201e-03 eta: 4:50:57 time: 1.0493 data_time: 0.0206 memory: 22681 loss: 1.8669 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8669 2022/10/30 13:47:01 - mmengine - INFO - Epoch(train) [75][440/660] lr: 2.0165e-03 eta: 4:50:36 time: 1.0433 data_time: 0.0219 memory: 22681 loss: 1.8527 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8527 2022/10/30 13:47:22 - mmengine - INFO - Epoch(train) [75][460/660] lr: 2.0129e-03 eta: 4:50:15 time: 1.0286 data_time: 0.0191 memory: 22681 loss: 1.8754 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8754 2022/10/30 13:47:42 - mmengine - INFO - Epoch(train) [75][480/660] lr: 2.0093e-03 eta: 4:49:54 time: 1.0303 data_time: 0.0196 memory: 22681 loss: 1.8766 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8766 2022/10/30 13:48:03 - mmengine - INFO - Epoch(train) [75][500/660] lr: 2.0056e-03 eta: 4:49:33 time: 1.0481 data_time: 0.0214 memory: 22681 loss: 1.9350 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9350 2022/10/30 13:48:24 - mmengine - INFO - Epoch(train) [75][520/660] lr: 2.0020e-03 eta: 4:49:12 time: 1.0370 data_time: 0.0221 memory: 22681 loss: 1.7814 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7814 2022/10/30 13:48:44 - mmengine - INFO - Epoch(train) [75][540/660] lr: 1.9984e-03 eta: 4:48:51 time: 1.0295 data_time: 0.0232 memory: 22681 loss: 1.9601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9601 2022/10/30 13:49:05 - mmengine - INFO - Epoch(train) [75][560/660] lr: 1.9948e-03 eta: 4:48:30 time: 1.0299 data_time: 0.0211 memory: 22681 loss: 1.9732 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9732 2022/10/30 13:49:26 - mmengine - INFO - Epoch(train) [75][580/660] lr: 1.9912e-03 eta: 4:48:10 time: 1.0406 data_time: 0.0209 memory: 22681 loss: 1.9219 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9219 2022/10/30 13:49:47 - mmengine - INFO - Epoch(train) [75][600/660] lr: 1.9876e-03 eta: 4:47:49 time: 1.0346 data_time: 0.0215 memory: 22681 loss: 1.8883 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8883 2022/10/30 13:50:07 - mmengine - INFO - Epoch(train) [75][620/660] lr: 1.9840e-03 eta: 4:47:28 time: 1.0271 data_time: 0.0182 memory: 22681 loss: 1.9722 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9722 2022/10/30 13:50:28 - mmengine - INFO - Epoch(train) [75][640/660] lr: 1.9804e-03 eta: 4:47:07 time: 1.0223 data_time: 0.0199 memory: 22681 loss: 1.9703 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9703 2022/10/30 13:50:48 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 13:50:48 - mmengine - INFO - Epoch(train) [75][660/660] lr: 1.9768e-03 eta: 4:46:46 time: 1.0168 data_time: 0.0198 memory: 22681 loss: 1.9206 top1_acc: 0.7143 top5_acc: 0.9286 loss_cls: 1.9206 2022/10/30 13:50:48 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/10/30 13:50:52 - mmengine - INFO - Epoch(val) [75][20/194] eta: 0:00:22 time: 0.1273 data_time: 0.0254 memory: 2517 2022/10/30 13:50:54 - mmengine - INFO - Epoch(val) [75][40/194] eta: 0:00:16 time: 0.1095 data_time: 0.0084 memory: 2517 2022/10/30 13:50:56 - mmengine - INFO - Epoch(val) [75][60/194] eta: 0:00:14 time: 0.1089 data_time: 0.0079 memory: 2517 2022/10/30 13:50:58 - mmengine - INFO - Epoch(val) [75][80/194] eta: 0:00:12 time: 0.1088 data_time: 0.0078 memory: 2517 2022/10/30 13:51:00 - mmengine - INFO - Epoch(val) [75][100/194] eta: 0:00:10 time: 0.1086 data_time: 0.0076 memory: 2517 2022/10/30 13:51:03 - mmengine - INFO - Epoch(val) [75][120/194] eta: 0:00:08 time: 0.1102 data_time: 0.0091 memory: 2517 2022/10/30 13:51:05 - mmengine - INFO - Epoch(val) [75][140/194] eta: 0:00:05 time: 0.1079 data_time: 0.0072 memory: 2517 2022/10/30 13:51:07 - mmengine - INFO - Epoch(val) [75][160/194] eta: 0:00:03 time: 0.1079 data_time: 0.0072 memory: 2517 2022/10/30 13:51:09 - mmengine - INFO - Epoch(val) [75][180/194] eta: 0:00:01 time: 0.1075 data_time: 0.0071 memory: 2517 2022/10/30 13:51:11 - mmengine - INFO - Epoch(val) [75][194/194] acc/top1: 0.6644 acc/top5: 0.9076 acc/mean1: 0.6020 2022/10/30 13:51:42 - mmengine - INFO - Epoch(train) [76][20/660] lr: 1.9732e-03 eta: 4:46:28 time: 1.5124 data_time: 0.2338 memory: 22681 loss: 2.0088 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0088 2022/10/30 13:52:02 - mmengine - INFO - Epoch(train) [76][40/660] lr: 1.9696e-03 eta: 4:46:07 time: 1.0264 data_time: 0.0198 memory: 22681 loss: 1.8432 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8432 2022/10/30 13:52:23 - mmengine - INFO - Epoch(train) [76][60/660] lr: 1.9660e-03 eta: 4:45:46 time: 1.0235 data_time: 0.0191 memory: 22681 loss: 1.8619 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8619 2022/10/30 13:52:43 - mmengine - INFO - Epoch(train) [76][80/660] lr: 1.9624e-03 eta: 4:45:25 time: 1.0262 data_time: 0.0222 memory: 22681 loss: 1.8690 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8690 2022/10/30 13:53:04 - mmengine - INFO - Epoch(train) [76][100/660] lr: 1.9589e-03 eta: 4:45:04 time: 1.0371 data_time: 0.0242 memory: 22681 loss: 1.8416 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8416 2022/10/30 13:53:24 - mmengine - INFO - Epoch(train) [76][120/660] lr: 1.9553e-03 eta: 4:44:43 time: 1.0329 data_time: 0.0208 memory: 22681 loss: 1.8794 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8794 2022/10/30 13:53:45 - mmengine - INFO - Epoch(train) [76][140/660] lr: 1.9517e-03 eta: 4:44:22 time: 1.0284 data_time: 0.0189 memory: 22681 loss: 1.7837 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.7837 2022/10/30 13:54:06 - mmengine - INFO - Epoch(train) [76][160/660] lr: 1.9481e-03 eta: 4:44:01 time: 1.0288 data_time: 0.0196 memory: 22681 loss: 1.8161 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8161 2022/10/30 13:54:26 - mmengine - INFO - Epoch(train) [76][180/660] lr: 1.9446e-03 eta: 4:43:40 time: 1.0381 data_time: 0.0260 memory: 22681 loss: 1.9029 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9029 2022/10/30 13:54:47 - mmengine - INFO - Epoch(train) [76][200/660] lr: 1.9410e-03 eta: 4:43:20 time: 1.0360 data_time: 0.0189 memory: 22681 loss: 2.0070 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0070 2022/10/30 13:55:08 - mmengine - INFO - Epoch(train) [76][220/660] lr: 1.9374e-03 eta: 4:42:59 time: 1.0316 data_time: 0.0190 memory: 22681 loss: 1.8888 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8888 2022/10/30 13:55:28 - mmengine - INFO - Epoch(train) [76][240/660] lr: 1.9339e-03 eta: 4:42:38 time: 1.0279 data_time: 0.0194 memory: 22681 loss: 1.9109 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9109 2022/10/30 13:55:49 - mmengine - INFO - Epoch(train) [76][260/660] lr: 1.9303e-03 eta: 4:42:17 time: 1.0405 data_time: 0.0240 memory: 22681 loss: 2.0221 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0221 2022/10/30 13:56:10 - mmengine - INFO - Epoch(train) [76][280/660] lr: 1.9268e-03 eta: 4:41:56 time: 1.0333 data_time: 0.0198 memory: 22681 loss: 1.9945 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9945 2022/10/30 13:56:30 - mmengine - INFO - Epoch(train) [76][300/660] lr: 1.9232e-03 eta: 4:41:35 time: 1.0277 data_time: 0.0191 memory: 22681 loss: 1.9283 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9283 2022/10/30 13:56:51 - mmengine - INFO - Epoch(train) [76][320/660] lr: 1.9197e-03 eta: 4:41:14 time: 1.0310 data_time: 0.0193 memory: 22681 loss: 1.9931 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9931 2022/10/30 13:57:12 - mmengine - INFO - Epoch(train) [76][340/660] lr: 1.9161e-03 eta: 4:40:53 time: 1.0414 data_time: 0.0244 memory: 22681 loss: 1.7599 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7599 2022/10/30 13:57:32 - mmengine - INFO - Epoch(train) [76][360/660] lr: 1.9126e-03 eta: 4:40:32 time: 1.0330 data_time: 0.0209 memory: 22681 loss: 1.9451 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9451 2022/10/30 13:57:53 - mmengine - INFO - Epoch(train) [76][380/660] lr: 1.9090e-03 eta: 4:40:11 time: 1.0314 data_time: 0.0191 memory: 22681 loss: 1.8792 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8792 2022/10/30 13:58:14 - mmengine - INFO - Epoch(train) [76][400/660] lr: 1.9055e-03 eta: 4:39:50 time: 1.0287 data_time: 0.0213 memory: 22681 loss: 1.7814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7814 2022/10/30 13:58:34 - mmengine - INFO - Epoch(train) [76][420/660] lr: 1.9019e-03 eta: 4:39:29 time: 1.0399 data_time: 0.0255 memory: 22681 loss: 1.7881 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7881 2022/10/30 13:58:55 - mmengine - INFO - Epoch(train) [76][440/660] lr: 1.8984e-03 eta: 4:39:08 time: 1.0333 data_time: 0.0201 memory: 22681 loss: 1.8242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8242 2022/10/30 13:59:16 - mmengine - INFO - Epoch(train) [76][460/660] lr: 1.8949e-03 eta: 4:38:48 time: 1.0305 data_time: 0.0218 memory: 22681 loss: 1.8711 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8711 2022/10/30 13:59:36 - mmengine - INFO - Epoch(train) [76][480/660] lr: 1.8914e-03 eta: 4:38:27 time: 1.0276 data_time: 0.0201 memory: 22681 loss: 1.8210 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8210 2022/10/30 13:59:57 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 13:59:57 - mmengine - INFO - Epoch(train) [76][500/660] lr: 1.8878e-03 eta: 4:38:06 time: 1.0405 data_time: 0.0260 memory: 22681 loss: 1.9275 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9275 2022/10/30 14:00:18 - mmengine - INFO - Epoch(train) [76][520/660] lr: 1.8843e-03 eta: 4:37:45 time: 1.0323 data_time: 0.0196 memory: 22681 loss: 1.9365 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9365 2022/10/30 14:00:38 - mmengine - INFO - Epoch(train) [76][540/660] lr: 1.8808e-03 eta: 4:37:24 time: 1.0267 data_time: 0.0200 memory: 22681 loss: 1.8052 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8052 2022/10/30 14:00:59 - mmengine - INFO - Epoch(train) [76][560/660] lr: 1.8773e-03 eta: 4:37:03 time: 1.0243 data_time: 0.0200 memory: 22681 loss: 1.9156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9156 2022/10/30 14:01:19 - mmengine - INFO - Epoch(train) [76][580/660] lr: 1.8738e-03 eta: 4:36:42 time: 1.0361 data_time: 0.0265 memory: 22681 loss: 1.8359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8359 2022/10/30 14:01:40 - mmengine - INFO - Epoch(train) [76][600/660] lr: 1.8703e-03 eta: 4:36:21 time: 1.0357 data_time: 0.0224 memory: 22681 loss: 1.9066 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9066 2022/10/30 14:02:01 - mmengine - INFO - Epoch(train) [76][620/660] lr: 1.8668e-03 eta: 4:36:00 time: 1.0291 data_time: 0.0210 memory: 22681 loss: 1.8981 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8981 2022/10/30 14:02:21 - mmengine - INFO - Epoch(train) [76][640/660] lr: 1.8632e-03 eta: 4:35:39 time: 1.0209 data_time: 0.0210 memory: 22681 loss: 1.9056 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.9056 2022/10/30 14:02:42 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 14:02:42 - mmengine - INFO - Epoch(train) [76][660/660] lr: 1.8597e-03 eta: 4:35:18 time: 1.0146 data_time: 0.0218 memory: 22681 loss: 1.8335 top1_acc: 0.7143 top5_acc: 0.9286 loss_cls: 1.8335 2022/10/30 14:02:44 - mmengine - INFO - Epoch(val) [76][20/194] eta: 0:00:23 time: 0.1341 data_time: 0.0325 memory: 2517 2022/10/30 14:02:46 - mmengine - INFO - Epoch(val) [76][40/194] eta: 0:00:16 time: 0.1090 data_time: 0.0080 memory: 2517 2022/10/30 14:02:49 - mmengine - INFO - Epoch(val) [76][60/194] eta: 0:00:14 time: 0.1088 data_time: 0.0077 memory: 2517 2022/10/30 14:02:51 - mmengine - INFO - Epoch(val) [76][80/194] eta: 0:00:12 time: 0.1102 data_time: 0.0079 memory: 2517 2022/10/30 14:02:53 - mmengine - INFO - Epoch(val) [76][100/194] eta: 0:00:10 time: 0.1093 data_time: 0.0079 memory: 2517 2022/10/30 14:02:55 - mmengine - INFO - Epoch(val) [76][120/194] eta: 0:00:08 time: 0.1088 data_time: 0.0078 memory: 2517 2022/10/30 14:02:57 - mmengine - INFO - Epoch(val) [76][140/194] eta: 0:00:05 time: 0.1084 data_time: 0.0072 memory: 2517 2022/10/30 14:02:59 - mmengine - INFO - Epoch(val) [76][160/194] eta: 0:00:03 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 14:03:02 - mmengine - INFO - Epoch(val) [76][180/194] eta: 0:00:01 time: 0.1082 data_time: 0.0075 memory: 2517 2022/10/30 14:03:05 - mmengine - INFO - Epoch(val) [76][194/194] acc/top1: 0.6661 acc/top5: 0.9069 acc/mean1: 0.6051 2022/10/30 14:03:05 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_74.pth is removed 2022/10/30 14:03:07 - mmengine - INFO - The best checkpoint with 0.6661 acc/top1 at 76 epoch is saved to best_acc/top1_epoch_76.pth. 2022/10/30 14:03:34 - mmengine - INFO - Epoch(train) [77][20/660] lr: 1.8562e-03 eta: 4:34:59 time: 1.3586 data_time: 0.2797 memory: 22681 loss: 1.8665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8665 2022/10/30 14:03:55 - mmengine - INFO - Epoch(train) [77][40/660] lr: 1.8528e-03 eta: 4:34:38 time: 1.0255 data_time: 0.0184 memory: 22681 loss: 1.8996 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8996 2022/10/30 14:04:15 - mmengine - INFO - Epoch(train) [77][60/660] lr: 1.8493e-03 eta: 4:34:17 time: 1.0307 data_time: 0.0211 memory: 22681 loss: 1.8694 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8694 2022/10/30 14:04:36 - mmengine - INFO - Epoch(train) [77][80/660] lr: 1.8458e-03 eta: 4:33:56 time: 1.0237 data_time: 0.0186 memory: 22681 loss: 1.8230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8230 2022/10/30 14:04:56 - mmengine - INFO - Epoch(train) [77][100/660] lr: 1.8423e-03 eta: 4:33:35 time: 1.0403 data_time: 0.0216 memory: 22681 loss: 1.9502 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9502 2022/10/30 14:05:17 - mmengine - INFO - Epoch(train) [77][120/660] lr: 1.8388e-03 eta: 4:33:14 time: 1.0321 data_time: 0.0184 memory: 22681 loss: 1.9643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9643 2022/10/30 14:05:38 - mmengine - INFO - Epoch(train) [77][140/660] lr: 1.8353e-03 eta: 4:32:54 time: 1.0311 data_time: 0.0191 memory: 22681 loss: 1.9236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9236 2022/10/30 14:05:58 - mmengine - INFO - Epoch(train) [77][160/660] lr: 1.8318e-03 eta: 4:32:33 time: 1.0275 data_time: 0.0201 memory: 22681 loss: 1.8565 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8565 2022/10/30 14:06:19 - mmengine - INFO - Epoch(train) [77][180/660] lr: 1.8284e-03 eta: 4:32:12 time: 1.0402 data_time: 0.0222 memory: 22681 loss: 1.8575 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8575 2022/10/30 14:06:40 - mmengine - INFO - Epoch(train) [77][200/660] lr: 1.8249e-03 eta: 4:31:51 time: 1.0405 data_time: 0.0198 memory: 22681 loss: 1.8732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8732 2022/10/30 14:07:01 - mmengine - INFO - Epoch(train) [77][220/660] lr: 1.8214e-03 eta: 4:31:30 time: 1.0372 data_time: 0.0187 memory: 22681 loss: 1.7942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7942 2022/10/30 14:07:21 - mmengine - INFO - Epoch(train) [77][240/660] lr: 1.8180e-03 eta: 4:31:09 time: 1.0340 data_time: 0.0182 memory: 22681 loss: 1.8688 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8688 2022/10/30 14:07:42 - mmengine - INFO - Epoch(train) [77][260/660] lr: 1.8145e-03 eta: 4:30:48 time: 1.0485 data_time: 0.0224 memory: 22681 loss: 1.8568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8568 2022/10/30 14:08:03 - mmengine - INFO - Epoch(train) [77][280/660] lr: 1.8110e-03 eta: 4:30:27 time: 1.0411 data_time: 0.0193 memory: 22681 loss: 1.8802 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8802 2022/10/30 14:08:24 - mmengine - INFO - Epoch(train) [77][300/660] lr: 1.8076e-03 eta: 4:30:06 time: 1.0356 data_time: 0.0190 memory: 22681 loss: 1.9132 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9132 2022/10/30 14:08:44 - mmengine - INFO - Epoch(train) [77][320/660] lr: 1.8041e-03 eta: 4:29:46 time: 1.0333 data_time: 0.0214 memory: 22681 loss: 1.9620 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9620 2022/10/30 14:09:05 - mmengine - INFO - Epoch(train) [77][340/660] lr: 1.8007e-03 eta: 4:29:25 time: 1.0446 data_time: 0.0229 memory: 22681 loss: 1.9282 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9282 2022/10/30 14:09:26 - mmengine - INFO - Epoch(train) [77][360/660] lr: 1.7972e-03 eta: 4:29:04 time: 1.0426 data_time: 0.0199 memory: 22681 loss: 1.8971 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8971 2022/10/30 14:09:47 - mmengine - INFO - Epoch(train) [77][380/660] lr: 1.7938e-03 eta: 4:28:43 time: 1.0369 data_time: 0.0194 memory: 22681 loss: 1.8892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8892 2022/10/30 14:10:08 - mmengine - INFO - Epoch(train) [77][400/660] lr: 1.7904e-03 eta: 4:28:22 time: 1.0318 data_time: 0.0182 memory: 22681 loss: 1.8576 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8576 2022/10/30 14:10:29 - mmengine - INFO - Epoch(train) [77][420/660] lr: 1.7869e-03 eta: 4:28:01 time: 1.0518 data_time: 0.0217 memory: 22681 loss: 1.7658 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7658 2022/10/30 14:10:49 - mmengine - INFO - Epoch(train) [77][440/660] lr: 1.7835e-03 eta: 4:27:40 time: 1.0439 data_time: 0.0204 memory: 22681 loss: 1.8279 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8279 2022/10/30 14:11:10 - mmengine - INFO - Epoch(train) [77][460/660] lr: 1.7800e-03 eta: 4:27:19 time: 1.0404 data_time: 0.0212 memory: 22681 loss: 1.9135 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9135 2022/10/30 14:11:31 - mmengine - INFO - Epoch(train) [77][480/660] lr: 1.7766e-03 eta: 4:26:59 time: 1.0405 data_time: 0.0191 memory: 22681 loss: 1.9344 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9344 2022/10/30 14:11:52 - mmengine - INFO - Epoch(train) [77][500/660] lr: 1.7732e-03 eta: 4:26:38 time: 1.0522 data_time: 0.0237 memory: 22681 loss: 1.8923 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8923 2022/10/30 14:12:13 - mmengine - INFO - Epoch(train) [77][520/660] lr: 1.7698e-03 eta: 4:26:17 time: 1.0431 data_time: 0.0193 memory: 22681 loss: 1.9255 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9255 2022/10/30 14:12:34 - mmengine - INFO - Epoch(train) [77][540/660] lr: 1.7663e-03 eta: 4:25:56 time: 1.0415 data_time: 0.0200 memory: 22681 loss: 1.9194 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9194 2022/10/30 14:12:55 - mmengine - INFO - Epoch(train) [77][560/660] lr: 1.7629e-03 eta: 4:25:35 time: 1.0377 data_time: 0.0205 memory: 22681 loss: 2.0004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0004 2022/10/30 14:13:16 - mmengine - INFO - Epoch(train) [77][580/660] lr: 1.7595e-03 eta: 4:25:14 time: 1.0479 data_time: 0.0232 memory: 22681 loss: 1.8626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8626 2022/10/30 14:13:37 - mmengine - INFO - Epoch(train) [77][600/660] lr: 1.7561e-03 eta: 4:24:54 time: 1.0464 data_time: 0.0197 memory: 22681 loss: 1.9164 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9164 2022/10/30 14:13:57 - mmengine - INFO - Epoch(train) [77][620/660] lr: 1.7527e-03 eta: 4:24:33 time: 1.0386 data_time: 0.0196 memory: 22681 loss: 1.8515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8515 2022/10/30 14:14:18 - mmengine - INFO - Epoch(train) [77][640/660] lr: 1.7493e-03 eta: 4:24:12 time: 1.0356 data_time: 0.0196 memory: 22681 loss: 1.8407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8407 2022/10/30 14:14:38 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 14:14:38 - mmengine - INFO - Epoch(train) [77][660/660] lr: 1.7459e-03 eta: 4:23:51 time: 1.0188 data_time: 0.0207 memory: 22681 loss: 1.8865 top1_acc: 0.5714 top5_acc: 0.7857 loss_cls: 1.8865 2022/10/30 14:14:41 - mmengine - INFO - Epoch(val) [77][20/194] eta: 0:00:23 time: 0.1342 data_time: 0.0315 memory: 2517 2022/10/30 14:14:43 - mmengine - INFO - Epoch(val) [77][40/194] eta: 0:00:16 time: 0.1092 data_time: 0.0081 memory: 2517 2022/10/30 14:14:45 - mmengine - INFO - Epoch(val) [77][60/194] eta: 0:00:14 time: 0.1084 data_time: 0.0076 memory: 2517 2022/10/30 14:14:48 - mmengine - INFO - Epoch(val) [77][80/194] eta: 0:00:12 time: 0.1087 data_time: 0.0078 memory: 2517 2022/10/30 14:14:50 - mmengine - INFO - Epoch(val) [77][100/194] eta: 0:00:10 time: 0.1088 data_time: 0.0074 memory: 2517 2022/10/30 14:14:52 - mmengine - INFO - Epoch(val) [77][120/194] eta: 0:00:08 time: 0.1084 data_time: 0.0074 memory: 2517 2022/10/30 14:14:54 - mmengine - INFO - Epoch(val) [77][140/194] eta: 0:00:05 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 14:14:56 - mmengine - INFO - Epoch(val) [77][160/194] eta: 0:00:03 time: 0.1104 data_time: 0.0082 memory: 2517 2022/10/30 14:14:59 - mmengine - INFO - Epoch(val) [77][180/194] eta: 0:00:01 time: 0.1095 data_time: 0.0078 memory: 2517 2022/10/30 14:15:02 - mmengine - INFO - Epoch(val) [77][194/194] acc/top1: 0.6643 acc/top5: 0.9071 acc/mean1: 0.6036 2022/10/30 14:15:31 - mmengine - INFO - Epoch(train) [78][20/660] lr: 1.7425e-03 eta: 4:23:32 time: 1.4815 data_time: 0.2173 memory: 22681 loss: 1.7205 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7205 2022/10/30 14:15:52 - mmengine - INFO - Epoch(train) [78][40/660] lr: 1.7391e-03 eta: 4:23:12 time: 1.0286 data_time: 0.0206 memory: 22681 loss: 1.8771 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8771 2022/10/30 14:16:12 - mmengine - INFO - Epoch(train) [78][60/660] lr: 1.7357e-03 eta: 4:22:51 time: 1.0232 data_time: 0.0183 memory: 22681 loss: 1.8476 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8476 2022/10/30 14:16:33 - mmengine - INFO - Epoch(train) [78][80/660] lr: 1.7323e-03 eta: 4:22:30 time: 1.0282 data_time: 0.0195 memory: 22681 loss: 1.9755 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9755 2022/10/30 14:16:54 - mmengine - INFO - Epoch(train) [78][100/660] lr: 1.7289e-03 eta: 4:22:09 time: 1.0418 data_time: 0.0202 memory: 22681 loss: 1.8160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8160 2022/10/30 14:17:14 - mmengine - INFO - Epoch(train) [78][120/660] lr: 1.7255e-03 eta: 4:21:48 time: 1.0303 data_time: 0.0208 memory: 22681 loss: 1.8453 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8453 2022/10/30 14:17:35 - mmengine - INFO - Epoch(train) [78][140/660] lr: 1.7222e-03 eta: 4:21:27 time: 1.0241 data_time: 0.0180 memory: 22681 loss: 1.8633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8633 2022/10/30 14:17:55 - mmengine - INFO - Epoch(train) [78][160/660] lr: 1.7188e-03 eta: 4:21:06 time: 1.0252 data_time: 0.0183 memory: 22681 loss: 1.8775 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8775 2022/10/30 14:18:16 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 14:18:16 - mmengine - INFO - Epoch(train) [78][180/660] lr: 1.7154e-03 eta: 4:20:45 time: 1.0372 data_time: 0.0188 memory: 22681 loss: 1.8726 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8726 2022/10/30 14:18:37 - mmengine - INFO - Epoch(train) [78][200/660] lr: 1.7120e-03 eta: 4:20:24 time: 1.0369 data_time: 0.0203 memory: 22681 loss: 2.0025 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0025 2022/10/30 14:18:57 - mmengine - INFO - Epoch(train) [78][220/660] lr: 1.7087e-03 eta: 4:20:03 time: 1.0250 data_time: 0.0177 memory: 22681 loss: 1.8403 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8403 2022/10/30 14:19:18 - mmengine - INFO - Epoch(train) [78][240/660] lr: 1.7053e-03 eta: 4:19:42 time: 1.0255 data_time: 0.0167 memory: 22681 loss: 1.8513 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8513 2022/10/30 14:19:39 - mmengine - INFO - Epoch(train) [78][260/660] lr: 1.7019e-03 eta: 4:19:21 time: 1.0415 data_time: 0.0188 memory: 22681 loss: 1.8703 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8703 2022/10/30 14:19:59 - mmengine - INFO - Epoch(train) [78][280/660] lr: 1.6986e-03 eta: 4:19:00 time: 1.0351 data_time: 0.0196 memory: 22681 loss: 1.8427 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8427 2022/10/30 14:20:20 - mmengine - INFO - Epoch(train) [78][300/660] lr: 1.6952e-03 eta: 4:18:39 time: 1.0294 data_time: 0.0206 memory: 22681 loss: 1.9486 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9486 2022/10/30 14:20:41 - mmengine - INFO - Epoch(train) [78][320/660] lr: 1.6919e-03 eta: 4:18:19 time: 1.0342 data_time: 0.0192 memory: 22681 loss: 1.8508 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8508 2022/10/30 14:21:01 - mmengine - INFO - Epoch(train) [78][340/660] lr: 1.6885e-03 eta: 4:17:58 time: 1.0401 data_time: 0.0205 memory: 22681 loss: 1.9368 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9368 2022/10/30 14:21:22 - mmengine - INFO - Epoch(train) [78][360/660] lr: 1.6852e-03 eta: 4:17:37 time: 1.0377 data_time: 0.0210 memory: 22681 loss: 1.7685 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7685 2022/10/30 14:21:43 - mmengine - INFO - Epoch(train) [78][380/660] lr: 1.6818e-03 eta: 4:17:16 time: 1.0292 data_time: 0.0198 memory: 22681 loss: 2.0332 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0332 2022/10/30 14:22:03 - mmengine - INFO - Epoch(train) [78][400/660] lr: 1.6785e-03 eta: 4:16:55 time: 1.0285 data_time: 0.0179 memory: 22681 loss: 2.0288 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0288 2022/10/30 14:22:24 - mmengine - INFO - Epoch(train) [78][420/660] lr: 1.6752e-03 eta: 4:16:34 time: 1.0402 data_time: 0.0192 memory: 22681 loss: 1.9008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9008 2022/10/30 14:22:45 - mmengine - INFO - Epoch(train) [78][440/660] lr: 1.6718e-03 eta: 4:16:13 time: 1.0294 data_time: 0.0209 memory: 22681 loss: 1.8194 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8194 2022/10/30 14:23:05 - mmengine - INFO - Epoch(train) [78][460/660] lr: 1.6685e-03 eta: 4:15:52 time: 1.0257 data_time: 0.0185 memory: 22681 loss: 1.8882 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8882 2022/10/30 14:23:26 - mmengine - INFO - Epoch(train) [78][480/660] lr: 1.6652e-03 eta: 4:15:31 time: 1.0250 data_time: 0.0173 memory: 22681 loss: 1.9851 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9851 2022/10/30 14:23:46 - mmengine - INFO - Epoch(train) [78][500/660] lr: 1.6618e-03 eta: 4:15:10 time: 1.0380 data_time: 0.0191 memory: 22681 loss: 1.9511 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9511 2022/10/30 14:24:07 - mmengine - INFO - Epoch(train) [78][520/660] lr: 1.6585e-03 eta: 4:14:49 time: 1.0303 data_time: 0.0203 memory: 22681 loss: 1.8542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8542 2022/10/30 14:24:28 - mmengine - INFO - Epoch(train) [78][540/660] lr: 1.6552e-03 eta: 4:14:28 time: 1.0299 data_time: 0.0201 memory: 22681 loss: 1.9384 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9384 2022/10/30 14:24:48 - mmengine - INFO - Epoch(train) [78][560/660] lr: 1.6519e-03 eta: 4:14:07 time: 1.0281 data_time: 0.0191 memory: 22681 loss: 1.9458 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9458 2022/10/30 14:25:09 - mmengine - INFO - Epoch(train) [78][580/660] lr: 1.6486e-03 eta: 4:13:47 time: 1.0425 data_time: 0.0192 memory: 22681 loss: 1.8630 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8630 2022/10/30 14:25:30 - mmengine - INFO - Epoch(train) [78][600/660] lr: 1.6453e-03 eta: 4:13:26 time: 1.0331 data_time: 0.0214 memory: 22681 loss: 1.8552 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8552 2022/10/30 14:25:51 - mmengine - INFO - Epoch(train) [78][620/660] lr: 1.6419e-03 eta: 4:13:05 time: 1.0365 data_time: 0.0202 memory: 22681 loss: 1.7410 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7410 2022/10/30 14:26:11 - mmengine - INFO - Epoch(train) [78][640/660] lr: 1.6386e-03 eta: 4:12:44 time: 1.0278 data_time: 0.0184 memory: 22681 loss: 1.8277 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8277 2022/10/30 14:26:31 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 14:26:31 - mmengine - INFO - Epoch(train) [78][660/660] lr: 1.6353e-03 eta: 4:12:23 time: 1.0161 data_time: 0.0191 memory: 22681 loss: 1.8481 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8481 2022/10/30 14:26:31 - mmengine - INFO - Saving checkpoint at 78 epochs 2022/10/30 14:26:35 - mmengine - INFO - Epoch(val) [78][20/194] eta: 0:00:22 time: 0.1267 data_time: 0.0249 memory: 2517 2022/10/30 14:26:37 - mmengine - INFO - Epoch(val) [78][40/194] eta: 0:00:16 time: 0.1083 data_time: 0.0073 memory: 2517 2022/10/30 14:26:40 - mmengine - INFO - Epoch(val) [78][60/194] eta: 0:00:15 time: 0.1126 data_time: 0.0076 memory: 2517 2022/10/30 14:26:42 - mmengine - INFO - Epoch(val) [78][80/194] eta: 0:00:12 time: 0.1078 data_time: 0.0074 memory: 2517 2022/10/30 14:26:44 - mmengine - INFO - Epoch(val) [78][100/194] eta: 0:00:10 time: 0.1076 data_time: 0.0071 memory: 2517 2022/10/30 14:26:46 - mmengine - INFO - Epoch(val) [78][120/194] eta: 0:00:07 time: 0.1078 data_time: 0.0073 memory: 2517 2022/10/30 14:26:48 - mmengine - INFO - Epoch(val) [78][140/194] eta: 0:00:05 time: 0.1106 data_time: 0.0086 memory: 2517 2022/10/30 14:26:50 - mmengine - INFO - Epoch(val) [78][160/194] eta: 0:00:03 time: 0.1092 data_time: 0.0081 memory: 2517 2022/10/30 14:26:53 - mmengine - INFO - Epoch(val) [78][180/194] eta: 0:00:01 time: 0.1078 data_time: 0.0072 memory: 2517 2022/10/30 14:26:55 - mmengine - INFO - Epoch(val) [78][194/194] acc/top1: 0.6648 acc/top5: 0.9079 acc/mean1: 0.6001 2022/10/30 14:27:24 - mmengine - INFO - Epoch(train) [79][20/660] lr: 1.6320e-03 eta: 4:12:04 time: 1.4701 data_time: 0.2493 memory: 22681 loss: 1.8933 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8933 2022/10/30 14:27:45 - mmengine - INFO - Epoch(train) [79][40/660] lr: 1.6288e-03 eta: 4:11:43 time: 1.0221 data_time: 0.0179 memory: 22681 loss: 1.7718 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7718 2022/10/30 14:28:05 - mmengine - INFO - Epoch(train) [79][60/660] lr: 1.6255e-03 eta: 4:11:22 time: 1.0223 data_time: 0.0178 memory: 22681 loss: 1.8302 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8302 2022/10/30 14:28:26 - mmengine - INFO - Epoch(train) [79][80/660] lr: 1.6222e-03 eta: 4:11:01 time: 1.0217 data_time: 0.0181 memory: 22681 loss: 1.8828 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8828 2022/10/30 14:28:46 - mmengine - INFO - Epoch(train) [79][100/660] lr: 1.6189e-03 eta: 4:10:41 time: 1.0407 data_time: 0.0234 memory: 22681 loss: 1.8938 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8938 2022/10/30 14:29:07 - mmengine - INFO - Epoch(train) [79][120/660] lr: 1.6156e-03 eta: 4:10:20 time: 1.0294 data_time: 0.0193 memory: 22681 loss: 1.9220 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9220 2022/10/30 14:29:27 - mmengine - INFO - Epoch(train) [79][140/660] lr: 1.6123e-03 eta: 4:09:59 time: 1.0216 data_time: 0.0184 memory: 22681 loss: 1.7935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7935 2022/10/30 14:29:48 - mmengine - INFO - Epoch(train) [79][160/660] lr: 1.6091e-03 eta: 4:09:38 time: 1.0237 data_time: 0.0189 memory: 22681 loss: 1.9539 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9539 2022/10/30 14:30:09 - mmengine - INFO - Epoch(train) [79][180/660] lr: 1.6058e-03 eta: 4:09:17 time: 1.0387 data_time: 0.0220 memory: 22681 loss: 1.8733 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8733 2022/10/30 14:30:29 - mmengine - INFO - Epoch(train) [79][200/660] lr: 1.6025e-03 eta: 4:08:56 time: 1.0316 data_time: 0.0183 memory: 22681 loss: 2.0140 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0140 2022/10/30 14:30:50 - mmengine - INFO - Epoch(train) [79][220/660] lr: 1.5992e-03 eta: 4:08:35 time: 1.0319 data_time: 0.0221 memory: 22681 loss: 1.9296 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9296 2022/10/30 14:31:10 - mmengine - INFO - Epoch(train) [79][240/660] lr: 1.5960e-03 eta: 4:08:14 time: 1.0239 data_time: 0.0196 memory: 22681 loss: 1.9114 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9114 2022/10/30 14:31:31 - mmengine - INFO - Epoch(train) [79][260/660] lr: 1.5927e-03 eta: 4:07:53 time: 1.0431 data_time: 0.0251 memory: 22681 loss: 1.8446 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8446 2022/10/30 14:31:52 - mmengine - INFO - Epoch(train) [79][280/660] lr: 1.5895e-03 eta: 4:07:32 time: 1.0333 data_time: 0.0189 memory: 22681 loss: 2.0588 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0588 2022/10/30 14:32:12 - mmengine - INFO - Epoch(train) [79][300/660] lr: 1.5862e-03 eta: 4:07:11 time: 1.0289 data_time: 0.0214 memory: 22681 loss: 1.9800 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9800 2022/10/30 14:32:33 - mmengine - INFO - Epoch(train) [79][320/660] lr: 1.5830e-03 eta: 4:06:50 time: 1.0288 data_time: 0.0201 memory: 22681 loss: 1.9995 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9995 2022/10/30 14:32:54 - mmengine - INFO - Epoch(train) [79][340/660] lr: 1.5797e-03 eta: 4:06:29 time: 1.0436 data_time: 0.0238 memory: 22681 loss: 1.8428 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8428 2022/10/30 14:33:15 - mmengine - INFO - Epoch(train) [79][360/660] lr: 1.5765e-03 eta: 4:06:09 time: 1.0380 data_time: 0.0188 memory: 22681 loss: 1.7940 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7940 2022/10/30 14:33:35 - mmengine - INFO - Epoch(train) [79][380/660] lr: 1.5732e-03 eta: 4:05:48 time: 1.0290 data_time: 0.0188 memory: 22681 loss: 1.7407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7407 2022/10/30 14:33:56 - mmengine - INFO - Epoch(train) [79][400/660] lr: 1.5700e-03 eta: 4:05:27 time: 1.0275 data_time: 0.0193 memory: 22681 loss: 1.8850 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8850 2022/10/30 14:34:17 - mmengine - INFO - Epoch(train) [79][420/660] lr: 1.5668e-03 eta: 4:05:06 time: 1.0460 data_time: 0.0236 memory: 22681 loss: 1.8259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8259 2022/10/30 14:34:37 - mmengine - INFO - Epoch(train) [79][440/660] lr: 1.5635e-03 eta: 4:04:45 time: 1.0349 data_time: 0.0178 memory: 22681 loss: 1.8382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8382 2022/10/30 14:34:58 - mmengine - INFO - Epoch(train) [79][460/660] lr: 1.5603e-03 eta: 4:04:24 time: 1.0260 data_time: 0.0181 memory: 22681 loss: 1.9701 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9701 2022/10/30 14:35:18 - mmengine - INFO - Epoch(train) [79][480/660] lr: 1.5571e-03 eta: 4:04:03 time: 1.0261 data_time: 0.0199 memory: 22681 loss: 1.9521 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9521 2022/10/30 14:35:39 - mmengine - INFO - Epoch(train) [79][500/660] lr: 1.5539e-03 eta: 4:03:42 time: 1.0429 data_time: 0.0222 memory: 22681 loss: 1.8435 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8435 2022/10/30 14:36:00 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 14:36:00 - mmengine - INFO - Epoch(train) [79][520/660] lr: 1.5506e-03 eta: 4:03:21 time: 1.0332 data_time: 0.0177 memory: 22681 loss: 1.7632 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7632 2022/10/30 14:36:21 - mmengine - INFO - Epoch(train) [79][540/660] lr: 1.5474e-03 eta: 4:03:00 time: 1.0258 data_time: 0.0196 memory: 22681 loss: 1.9941 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9941 2022/10/30 14:36:41 - mmengine - INFO - Epoch(train) [79][560/660] lr: 1.5442e-03 eta: 4:02:39 time: 1.0258 data_time: 0.0187 memory: 22681 loss: 2.0283 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0283 2022/10/30 14:37:02 - mmengine - INFO - Epoch(train) [79][580/660] lr: 1.5410e-03 eta: 4:02:18 time: 1.0395 data_time: 0.0228 memory: 22681 loss: 1.8491 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8491 2022/10/30 14:37:23 - mmengine - INFO - Epoch(train) [79][600/660] lr: 1.5378e-03 eta: 4:01:58 time: 1.0360 data_time: 0.0187 memory: 22681 loss: 1.8599 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8599 2022/10/30 14:37:43 - mmengine - INFO - Epoch(train) [79][620/660] lr: 1.5346e-03 eta: 4:01:37 time: 1.0270 data_time: 0.0189 memory: 22681 loss: 1.8824 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8824 2022/10/30 14:38:04 - mmengine - INFO - Epoch(train) [79][640/660] lr: 1.5314e-03 eta: 4:01:16 time: 1.0246 data_time: 0.0196 memory: 22681 loss: 1.8787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8787 2022/10/30 14:38:24 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 14:38:24 - mmengine - INFO - Epoch(train) [79][660/660] lr: 1.5282e-03 eta: 4:00:55 time: 1.0157 data_time: 0.0206 memory: 22681 loss: 1.8444 top1_acc: 0.6429 top5_acc: 0.7857 loss_cls: 1.8444 2022/10/30 14:38:27 - mmengine - INFO - Epoch(val) [79][20/194] eta: 0:00:23 time: 0.1345 data_time: 0.0329 memory: 2517 2022/10/30 14:38:29 - mmengine - INFO - Epoch(val) [79][40/194] eta: 0:00:16 time: 0.1083 data_time: 0.0075 memory: 2517 2022/10/30 14:38:31 - mmengine - INFO - Epoch(val) [79][60/194] eta: 0:00:14 time: 0.1084 data_time: 0.0076 memory: 2517 2022/10/30 14:38:33 - mmengine - INFO - Epoch(val) [79][80/194] eta: 0:00:12 time: 0.1086 data_time: 0.0078 memory: 2517 2022/10/30 14:38:35 - mmengine - INFO - Epoch(val) [79][100/194] eta: 0:00:10 time: 0.1093 data_time: 0.0079 memory: 2517 2022/10/30 14:38:38 - mmengine - INFO - Epoch(val) [79][120/194] eta: 0:00:07 time: 0.1079 data_time: 0.0073 memory: 2517 2022/10/30 14:38:40 - mmengine - INFO - Epoch(val) [79][140/194] eta: 0:00:05 time: 0.1082 data_time: 0.0076 memory: 2517 2022/10/30 14:38:42 - mmengine - INFO - Epoch(val) [79][160/194] eta: 0:00:03 time: 0.1078 data_time: 0.0072 memory: 2517 2022/10/30 14:38:44 - mmengine - INFO - Epoch(val) [79][180/194] eta: 0:00:01 time: 0.1079 data_time: 0.0073 memory: 2517 2022/10/30 14:38:47 - mmengine - INFO - Epoch(val) [79][194/194] acc/top1: 0.6646 acc/top5: 0.9076 acc/mean1: 0.6005 2022/10/30 14:39:18 - mmengine - INFO - Epoch(train) [80][20/660] lr: 1.5250e-03 eta: 4:00:36 time: 1.5251 data_time: 0.2674 memory: 22681 loss: 1.9623 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9623 2022/10/30 14:39:38 - mmengine - INFO - Epoch(train) [80][40/660] lr: 1.5218e-03 eta: 4:00:15 time: 1.0229 data_time: 0.0193 memory: 22681 loss: 1.9914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9914 2022/10/30 14:39:58 - mmengine - INFO - Epoch(train) [80][60/660] lr: 1.5186e-03 eta: 3:59:54 time: 1.0209 data_time: 0.0201 memory: 22681 loss: 1.8340 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8340 2022/10/30 14:40:19 - mmengine - INFO - Epoch(train) [80][80/660] lr: 1.5155e-03 eta: 3:59:33 time: 1.0190 data_time: 0.0196 memory: 22681 loss: 1.8336 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8336 2022/10/30 14:40:39 - mmengine - INFO - Epoch(train) [80][100/660] lr: 1.5123e-03 eta: 3:59:13 time: 1.0324 data_time: 0.0268 memory: 22681 loss: 1.7656 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7656 2022/10/30 14:41:00 - mmengine - INFO - Epoch(train) [80][120/660] lr: 1.5091e-03 eta: 3:58:52 time: 1.0253 data_time: 0.0190 memory: 22681 loss: 1.8566 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8566 2022/10/30 14:41:20 - mmengine - INFO - Epoch(train) [80][140/660] lr: 1.5059e-03 eta: 3:58:31 time: 1.0204 data_time: 0.0213 memory: 22681 loss: 1.7844 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7844 2022/10/30 14:41:41 - mmengine - INFO - Epoch(train) [80][160/660] lr: 1.5028e-03 eta: 3:58:10 time: 1.0184 data_time: 0.0200 memory: 22681 loss: 1.9810 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9810 2022/10/30 14:42:01 - mmengine - INFO - Epoch(train) [80][180/660] lr: 1.4996e-03 eta: 3:57:49 time: 1.0351 data_time: 0.0226 memory: 22681 loss: 1.9317 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.9317 2022/10/30 14:42:22 - mmengine - INFO - Epoch(train) [80][200/660] lr: 1.4964e-03 eta: 3:57:28 time: 1.0259 data_time: 0.0187 memory: 22681 loss: 1.7892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7892 2022/10/30 14:42:42 - mmengine - INFO - Epoch(train) [80][220/660] lr: 1.4933e-03 eta: 3:57:07 time: 1.0216 data_time: 0.0187 memory: 22681 loss: 1.9074 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9074 2022/10/30 14:43:03 - mmengine - INFO - Epoch(train) [80][240/660] lr: 1.4901e-03 eta: 3:56:46 time: 1.0224 data_time: 0.0193 memory: 22681 loss: 1.9863 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9863 2022/10/30 14:43:24 - mmengine - INFO - Epoch(train) [80][260/660] lr: 1.4870e-03 eta: 3:56:25 time: 1.0361 data_time: 0.0268 memory: 22681 loss: 2.0202 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.0202 2022/10/30 14:43:44 - mmengine - INFO - Epoch(train) [80][280/660] lr: 1.4838e-03 eta: 3:56:04 time: 1.0315 data_time: 0.0203 memory: 22681 loss: 1.8153 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8153 2022/10/30 14:44:05 - mmengine - INFO - Epoch(train) [80][300/660] lr: 1.4807e-03 eta: 3:55:43 time: 1.0244 data_time: 0.0234 memory: 22681 loss: 1.8107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8107 2022/10/30 14:44:25 - mmengine - INFO - Epoch(train) [80][320/660] lr: 1.4775e-03 eta: 3:55:22 time: 1.0206 data_time: 0.0206 memory: 22681 loss: 1.9611 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9611 2022/10/30 14:44:46 - mmengine - INFO - Epoch(train) [80][340/660] lr: 1.4744e-03 eta: 3:55:01 time: 1.0340 data_time: 0.0234 memory: 22681 loss: 1.9045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9045 2022/10/30 14:45:06 - mmengine - INFO - Epoch(train) [80][360/660] lr: 1.4713e-03 eta: 3:54:40 time: 1.0284 data_time: 0.0196 memory: 22681 loss: 1.8966 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8966 2022/10/30 14:45:27 - mmengine - INFO - Epoch(train) [80][380/660] lr: 1.4681e-03 eta: 3:54:19 time: 1.0243 data_time: 0.0193 memory: 22681 loss: 1.7095 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7095 2022/10/30 14:45:47 - mmengine - INFO - Epoch(train) [80][400/660] lr: 1.4650e-03 eta: 3:53:58 time: 1.0239 data_time: 0.0208 memory: 22681 loss: 1.8600 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8600 2022/10/30 14:46:08 - mmengine - INFO - Epoch(train) [80][420/660] lr: 1.4619e-03 eta: 3:53:37 time: 1.0333 data_time: 0.0242 memory: 22681 loss: 1.8071 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8071 2022/10/30 14:46:29 - mmengine - INFO - Epoch(train) [80][440/660] lr: 1.4587e-03 eta: 3:53:16 time: 1.0284 data_time: 0.0189 memory: 22681 loss: 1.8720 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8720 2022/10/30 14:46:49 - mmengine - INFO - Epoch(train) [80][460/660] lr: 1.4556e-03 eta: 3:52:55 time: 1.0261 data_time: 0.0201 memory: 22681 loss: 1.7471 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7471 2022/10/30 14:47:10 - mmengine - INFO - Epoch(train) [80][480/660] lr: 1.4525e-03 eta: 3:52:35 time: 1.0235 data_time: 0.0209 memory: 22681 loss: 1.9122 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9122 2022/10/30 14:47:30 - mmengine - INFO - Epoch(train) [80][500/660] lr: 1.4494e-03 eta: 3:52:14 time: 1.0375 data_time: 0.0232 memory: 22681 loss: 2.0253 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0253 2022/10/30 14:47:51 - mmengine - INFO - Epoch(train) [80][520/660] lr: 1.4463e-03 eta: 3:51:53 time: 1.0354 data_time: 0.0199 memory: 22681 loss: 1.8599 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8599 2022/10/30 14:48:12 - mmengine - INFO - Epoch(train) [80][540/660] lr: 1.4432e-03 eta: 3:51:32 time: 1.0246 data_time: 0.0192 memory: 22681 loss: 1.9417 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9417 2022/10/30 14:48:32 - mmengine - INFO - Epoch(train) [80][560/660] lr: 1.4401e-03 eta: 3:51:11 time: 1.0233 data_time: 0.0190 memory: 22681 loss: 1.8489 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8489 2022/10/30 14:48:53 - mmengine - INFO - Epoch(train) [80][580/660] lr: 1.4370e-03 eta: 3:50:50 time: 1.0327 data_time: 0.0218 memory: 22681 loss: 1.8962 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8962 2022/10/30 14:49:13 - mmengine - INFO - Epoch(train) [80][600/660] lr: 1.4339e-03 eta: 3:50:29 time: 1.0284 data_time: 0.0184 memory: 22681 loss: 1.8012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8012 2022/10/30 14:49:34 - mmengine - INFO - Epoch(train) [80][620/660] lr: 1.4308e-03 eta: 3:50:08 time: 1.0261 data_time: 0.0175 memory: 22681 loss: 1.8586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8586 2022/10/30 14:49:54 - mmengine - INFO - Epoch(train) [80][640/660] lr: 1.4277e-03 eta: 3:49:47 time: 1.0196 data_time: 0.0181 memory: 22681 loss: 1.8490 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8490 2022/10/30 14:50:14 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 14:50:14 - mmengine - INFO - Epoch(train) [80][660/660] lr: 1.4246e-03 eta: 3:49:26 time: 1.0103 data_time: 0.0192 memory: 22681 loss: 1.8578 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.8578 2022/10/30 14:50:17 - mmengine - INFO - Epoch(val) [80][20/194] eta: 0:00:23 time: 0.1356 data_time: 0.0325 memory: 2517 2022/10/30 14:50:19 - mmengine - INFO - Epoch(val) [80][40/194] eta: 0:00:17 time: 0.1110 data_time: 0.0082 memory: 2517 2022/10/30 14:50:22 - mmengine - INFO - Epoch(val) [80][60/194] eta: 0:00:14 time: 0.1103 data_time: 0.0077 memory: 2517 2022/10/30 14:50:24 - mmengine - INFO - Epoch(val) [80][80/194] eta: 0:00:12 time: 0.1099 data_time: 0.0078 memory: 2517 2022/10/30 14:50:26 - mmengine - INFO - Epoch(val) [80][100/194] eta: 0:00:10 time: 0.1099 data_time: 0.0078 memory: 2517 2022/10/30 14:50:28 - mmengine - INFO - Epoch(val) [80][120/194] eta: 0:00:08 time: 0.1093 data_time: 0.0075 memory: 2517 2022/10/30 14:50:30 - mmengine - INFO - Epoch(val) [80][140/194] eta: 0:00:05 time: 0.1107 data_time: 0.0082 memory: 2517 2022/10/30 14:50:33 - mmengine - INFO - Epoch(val) [80][160/194] eta: 0:00:03 time: 0.1091 data_time: 0.0072 memory: 2517 2022/10/30 14:50:35 - mmengine - INFO - Epoch(val) [80][180/194] eta: 0:00:01 time: 0.1096 data_time: 0.0076 memory: 2517 2022/10/30 14:50:38 - mmengine - INFO - Epoch(val) [80][194/194] acc/top1: 0.6669 acc/top5: 0.9085 acc/mean1: 0.6024 2022/10/30 14:50:38 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_76.pth is removed 2022/10/30 14:50:39 - mmengine - INFO - The best checkpoint with 0.6669 acc/top1 at 80 epoch is saved to best_acc/top1_epoch_80.pth. 2022/10/30 14:51:07 - mmengine - INFO - Epoch(train) [81][20/660] lr: 1.4215e-03 eta: 3:49:07 time: 1.3897 data_time: 0.2488 memory: 22681 loss: 1.9236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9236 2022/10/30 14:51:28 - mmengine - INFO - Epoch(train) [81][40/660] lr: 1.4184e-03 eta: 3:48:46 time: 1.0227 data_time: 0.0217 memory: 22681 loss: 1.7379 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7379 2022/10/30 14:51:48 - mmengine - INFO - Epoch(train) [81][60/660] lr: 1.4154e-03 eta: 3:48:25 time: 1.0205 data_time: 0.0200 memory: 22681 loss: 1.9384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9384 2022/10/30 14:52:08 - mmengine - INFO - Epoch(train) [81][80/660] lr: 1.4123e-03 eta: 3:48:04 time: 1.0218 data_time: 0.0178 memory: 22681 loss: 1.9260 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9260 2022/10/30 14:52:29 - mmengine - INFO - Epoch(train) [81][100/660] lr: 1.4092e-03 eta: 3:47:43 time: 1.0331 data_time: 0.0210 memory: 22681 loss: 2.0973 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0973 2022/10/30 14:52:50 - mmengine - INFO - Epoch(train) [81][120/660] lr: 1.4062e-03 eta: 3:47:22 time: 1.0286 data_time: 0.0220 memory: 22681 loss: 1.7747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7747 2022/10/30 14:53:10 - mmengine - INFO - Epoch(train) [81][140/660] lr: 1.4031e-03 eta: 3:47:01 time: 1.0212 data_time: 0.0192 memory: 22681 loss: 1.7729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7729 2022/10/30 14:53:30 - mmengine - INFO - Epoch(train) [81][160/660] lr: 1.4000e-03 eta: 3:46:40 time: 1.0190 data_time: 0.0189 memory: 22681 loss: 1.8897 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8897 2022/10/30 14:53:51 - mmengine - INFO - Epoch(train) [81][180/660] lr: 1.3970e-03 eta: 3:46:19 time: 1.0305 data_time: 0.0213 memory: 22681 loss: 1.8485 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8485 2022/10/30 14:54:12 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 14:54:12 - mmengine - INFO - Epoch(train) [81][200/660] lr: 1.3939e-03 eta: 3:45:58 time: 1.0328 data_time: 0.0241 memory: 22681 loss: 1.8820 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8820 2022/10/30 14:54:32 - mmengine - INFO - Epoch(train) [81][220/660] lr: 1.3909e-03 eta: 3:45:37 time: 1.0243 data_time: 0.0198 memory: 22681 loss: 1.8908 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8908 2022/10/30 14:54:53 - mmengine - INFO - Epoch(train) [81][240/660] lr: 1.3878e-03 eta: 3:45:16 time: 1.0218 data_time: 0.0199 memory: 22681 loss: 1.9439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9439 2022/10/30 14:55:13 - mmengine - INFO - Epoch(train) [81][260/660] lr: 1.3848e-03 eta: 3:44:56 time: 1.0291 data_time: 0.0229 memory: 22681 loss: 1.8860 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8860 2022/10/30 14:55:34 - mmengine - INFO - Epoch(train) [81][280/660] lr: 1.3817e-03 eta: 3:44:35 time: 1.0339 data_time: 0.0210 memory: 22681 loss: 1.9806 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9806 2022/10/30 14:55:54 - mmengine - INFO - Epoch(train) [81][300/660] lr: 1.3787e-03 eta: 3:44:14 time: 1.0246 data_time: 0.0189 memory: 22681 loss: 1.8599 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8599 2022/10/30 14:56:15 - mmengine - INFO - Epoch(train) [81][320/660] lr: 1.3757e-03 eta: 3:43:53 time: 1.0243 data_time: 0.0188 memory: 22681 loss: 1.9026 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9026 2022/10/30 14:56:36 - mmengine - INFO - Epoch(train) [81][340/660] lr: 1.3726e-03 eta: 3:43:32 time: 1.0327 data_time: 0.0204 memory: 22681 loss: 1.9360 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.9360 2022/10/30 14:56:56 - mmengine - INFO - Epoch(train) [81][360/660] lr: 1.3696e-03 eta: 3:43:11 time: 1.0336 data_time: 0.0221 memory: 22681 loss: 1.8393 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8393 2022/10/30 14:57:17 - mmengine - INFO - Epoch(train) [81][380/660] lr: 1.3666e-03 eta: 3:42:50 time: 1.0216 data_time: 0.0202 memory: 22681 loss: 1.8178 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8178 2022/10/30 14:57:37 - mmengine - INFO - Epoch(train) [81][400/660] lr: 1.3636e-03 eta: 3:42:29 time: 1.0225 data_time: 0.0208 memory: 22681 loss: 1.9654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9654 2022/10/30 14:57:58 - mmengine - INFO - Epoch(train) [81][420/660] lr: 1.3606e-03 eta: 3:42:08 time: 1.0288 data_time: 0.0216 memory: 22681 loss: 1.8440 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8440 2022/10/30 14:58:18 - mmengine - INFO - Epoch(train) [81][440/660] lr: 1.3576e-03 eta: 3:41:47 time: 1.0318 data_time: 0.0213 memory: 22681 loss: 1.8406 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8406 2022/10/30 14:58:39 - mmengine - INFO - Epoch(train) [81][460/660] lr: 1.3545e-03 eta: 3:41:26 time: 1.0228 data_time: 0.0183 memory: 22681 loss: 1.9392 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9392 2022/10/30 14:58:59 - mmengine - INFO - Epoch(train) [81][480/660] lr: 1.3515e-03 eta: 3:41:05 time: 1.0260 data_time: 0.0212 memory: 22681 loss: 1.9999 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9999 2022/10/30 14:59:20 - mmengine - INFO - Epoch(train) [81][500/660] lr: 1.3485e-03 eta: 3:40:44 time: 1.0280 data_time: 0.0195 memory: 22681 loss: 1.8410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8410 2022/10/30 14:59:41 - mmengine - INFO - Epoch(train) [81][520/660] lr: 1.3455e-03 eta: 3:40:23 time: 1.0386 data_time: 0.0213 memory: 22681 loss: 1.8984 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8984 2022/10/30 15:00:01 - mmengine - INFO - Epoch(train) [81][540/660] lr: 1.3425e-03 eta: 3:40:03 time: 1.0240 data_time: 0.0187 memory: 22681 loss: 1.7968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7968 2022/10/30 15:00:22 - mmengine - INFO - Epoch(train) [81][560/660] lr: 1.3395e-03 eta: 3:39:42 time: 1.0208 data_time: 0.0184 memory: 22681 loss: 1.8223 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8223 2022/10/30 15:00:42 - mmengine - INFO - Epoch(train) [81][580/660] lr: 1.3366e-03 eta: 3:39:21 time: 1.0300 data_time: 0.0185 memory: 22681 loss: 1.8371 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8371 2022/10/30 15:01:03 - mmengine - INFO - Epoch(train) [81][600/660] lr: 1.3336e-03 eta: 3:39:00 time: 1.0315 data_time: 0.0218 memory: 22681 loss: 1.7711 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7711 2022/10/30 15:01:23 - mmengine - INFO - Epoch(train) [81][620/660] lr: 1.3306e-03 eta: 3:38:39 time: 1.0219 data_time: 0.0197 memory: 22681 loss: 1.8112 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8112 2022/10/30 15:01:44 - mmengine - INFO - Epoch(train) [81][640/660] lr: 1.3276e-03 eta: 3:38:18 time: 1.0209 data_time: 0.0234 memory: 22681 loss: 1.9027 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9027 2022/10/30 15:02:04 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 15:02:04 - mmengine - INFO - Epoch(train) [81][660/660] lr: 1.3246e-03 eta: 3:37:57 time: 1.0150 data_time: 0.0194 memory: 22681 loss: 2.0516 top1_acc: 0.7857 top5_acc: 0.9286 loss_cls: 2.0516 2022/10/30 15:02:04 - mmengine - INFO - Saving checkpoint at 81 epochs 2022/10/30 15:02:08 - mmengine - INFO - Epoch(val) [81][20/194] eta: 0:00:22 time: 0.1265 data_time: 0.0251 memory: 2517 2022/10/30 15:02:10 - mmengine - INFO - Epoch(val) [81][40/194] eta: 0:00:16 time: 0.1086 data_time: 0.0076 memory: 2517 2022/10/30 15:02:12 - mmengine - INFO - Epoch(val) [81][60/194] eta: 0:00:14 time: 0.1086 data_time: 0.0076 memory: 2517 2022/10/30 15:02:14 - mmengine - INFO - Epoch(val) [81][80/194] eta: 0:00:12 time: 0.1086 data_time: 0.0075 memory: 2517 2022/10/30 15:02:16 - mmengine - INFO - Epoch(val) [81][100/194] eta: 0:00:10 time: 0.1087 data_time: 0.0075 memory: 2517 2022/10/30 15:02:19 - mmengine - INFO - Epoch(val) [81][120/194] eta: 0:00:08 time: 0.1097 data_time: 0.0080 memory: 2517 2022/10/30 15:02:21 - mmengine - INFO - Epoch(val) [81][140/194] eta: 0:00:05 time: 0.1083 data_time: 0.0075 memory: 2517 2022/10/30 15:02:23 - mmengine - INFO - Epoch(val) [81][160/194] eta: 0:00:03 time: 0.1085 data_time: 0.0075 memory: 2517 2022/10/30 15:02:25 - mmengine - INFO - Epoch(val) [81][180/194] eta: 0:00:01 time: 0.1079 data_time: 0.0072 memory: 2517 2022/10/30 15:02:27 - mmengine - INFO - Epoch(val) [81][194/194] acc/top1: 0.6646 acc/top5: 0.9071 acc/mean1: 0.6041 2022/10/30 15:02:56 - mmengine - INFO - Epoch(train) [82][20/660] lr: 1.3217e-03 eta: 3:37:38 time: 1.4471 data_time: 0.2613 memory: 22681 loss: 1.8794 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8794 2022/10/30 15:03:17 - mmengine - INFO - Epoch(train) [82][40/660] lr: 1.3187e-03 eta: 3:37:17 time: 1.0207 data_time: 0.0193 memory: 22681 loss: 2.0414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0414 2022/10/30 15:03:37 - mmengine - INFO - Epoch(train) [82][60/660] lr: 1.3157e-03 eta: 3:36:56 time: 1.0216 data_time: 0.0188 memory: 22681 loss: 1.9110 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9110 2022/10/30 15:03:58 - mmengine - INFO - Epoch(train) [82][80/660] lr: 1.3128e-03 eta: 3:36:35 time: 1.0271 data_time: 0.0186 memory: 22681 loss: 1.9286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9286 2022/10/30 15:04:18 - mmengine - INFO - Epoch(train) [82][100/660] lr: 1.3098e-03 eta: 3:36:14 time: 1.0392 data_time: 0.0195 memory: 22681 loss: 1.7737 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7737 2022/10/30 15:04:39 - mmengine - INFO - Epoch(train) [82][120/660] lr: 1.3069e-03 eta: 3:35:53 time: 1.0296 data_time: 0.0206 memory: 22681 loss: 1.8308 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8308 2022/10/30 15:05:00 - mmengine - INFO - Epoch(train) [82][140/660] lr: 1.3039e-03 eta: 3:35:32 time: 1.0283 data_time: 0.0179 memory: 22681 loss: 1.8790 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8790 2022/10/30 15:05:20 - mmengine - INFO - Epoch(train) [82][160/660] lr: 1.3010e-03 eta: 3:35:11 time: 1.0260 data_time: 0.0180 memory: 22681 loss: 1.8006 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8006 2022/10/30 15:05:41 - mmengine - INFO - Epoch(train) [82][180/660] lr: 1.2980e-03 eta: 3:34:50 time: 1.0381 data_time: 0.0206 memory: 22681 loss: 1.7820 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7820 2022/10/30 15:06:01 - mmengine - INFO - Epoch(train) [82][200/660] lr: 1.2951e-03 eta: 3:34:30 time: 1.0297 data_time: 0.0214 memory: 22681 loss: 1.9335 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9335 2022/10/30 15:06:22 - mmengine - INFO - Epoch(train) [82][220/660] lr: 1.2921e-03 eta: 3:34:09 time: 1.0263 data_time: 0.0184 memory: 22681 loss: 1.7872 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7872 2022/10/30 15:06:43 - mmengine - INFO - Epoch(train) [82][240/660] lr: 1.2892e-03 eta: 3:33:48 time: 1.0280 data_time: 0.0190 memory: 22681 loss: 2.0664 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0664 2022/10/30 15:07:04 - mmengine - INFO - Epoch(train) [82][260/660] lr: 1.2863e-03 eta: 3:33:27 time: 1.0474 data_time: 0.0199 memory: 22681 loss: 1.8225 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8225 2022/10/30 15:07:24 - mmengine - INFO - Epoch(train) [82][280/660] lr: 1.2833e-03 eta: 3:33:06 time: 1.0368 data_time: 0.0226 memory: 22681 loss: 1.8243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8243 2022/10/30 15:07:45 - mmengine - INFO - Epoch(train) [82][300/660] lr: 1.2804e-03 eta: 3:32:45 time: 1.0310 data_time: 0.0195 memory: 22681 loss: 1.8599 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8599 2022/10/30 15:08:06 - mmengine - INFO - Epoch(train) [82][320/660] lr: 1.2775e-03 eta: 3:32:24 time: 1.0346 data_time: 0.0241 memory: 22681 loss: 1.8111 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8111 2022/10/30 15:08:27 - mmengine - INFO - Epoch(train) [82][340/660] lr: 1.2746e-03 eta: 3:32:03 time: 1.0477 data_time: 0.0204 memory: 22681 loss: 1.8936 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8936 2022/10/30 15:08:47 - mmengine - INFO - Epoch(train) [82][360/660] lr: 1.2717e-03 eta: 3:31:42 time: 1.0387 data_time: 0.0238 memory: 22681 loss: 1.8689 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8689 2022/10/30 15:09:08 - mmengine - INFO - Epoch(train) [82][380/660] lr: 1.2688e-03 eta: 3:31:22 time: 1.0331 data_time: 0.0197 memory: 22681 loss: 1.8567 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8567 2022/10/30 15:09:29 - mmengine - INFO - Epoch(train) [82][400/660] lr: 1.2658e-03 eta: 3:31:01 time: 1.0312 data_time: 0.0196 memory: 22681 loss: 1.9392 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9392 2022/10/30 15:09:50 - mmengine - INFO - Epoch(train) [82][420/660] lr: 1.2629e-03 eta: 3:30:40 time: 1.0508 data_time: 0.0205 memory: 22681 loss: 1.8228 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8228 2022/10/30 15:10:10 - mmengine - INFO - Epoch(train) [82][440/660] lr: 1.2600e-03 eta: 3:30:19 time: 1.0390 data_time: 0.0236 memory: 22681 loss: 1.7653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7653 2022/10/30 15:10:31 - mmengine - INFO - Epoch(train) [82][460/660] lr: 1.2572e-03 eta: 3:29:58 time: 1.0302 data_time: 0.0193 memory: 22681 loss: 1.9281 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9281 2022/10/30 15:10:52 - mmengine - INFO - Epoch(train) [82][480/660] lr: 1.2543e-03 eta: 3:29:37 time: 1.0280 data_time: 0.0196 memory: 22681 loss: 1.9342 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9342 2022/10/30 15:11:12 - mmengine - INFO - Epoch(train) [82][500/660] lr: 1.2514e-03 eta: 3:29:16 time: 1.0435 data_time: 0.0198 memory: 22681 loss: 1.8087 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8087 2022/10/30 15:11:33 - mmengine - INFO - Epoch(train) [82][520/660] lr: 1.2485e-03 eta: 3:28:55 time: 1.0380 data_time: 0.0217 memory: 22681 loss: 1.8448 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8448 2022/10/30 15:11:54 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 15:11:54 - mmengine - INFO - Epoch(train) [82][540/660] lr: 1.2456e-03 eta: 3:28:34 time: 1.0333 data_time: 0.0190 memory: 22681 loss: 1.7662 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7662 2022/10/30 15:12:15 - mmengine - INFO - Epoch(train) [82][560/660] lr: 1.2427e-03 eta: 3:28:14 time: 1.0317 data_time: 0.0186 memory: 22681 loss: 1.7300 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7300 2022/10/30 15:12:36 - mmengine - INFO - Epoch(train) [82][580/660] lr: 1.2398e-03 eta: 3:27:53 time: 1.0500 data_time: 0.0204 memory: 22681 loss: 1.7675 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7675 2022/10/30 15:12:56 - mmengine - INFO - Epoch(train) [82][600/660] lr: 1.2370e-03 eta: 3:27:32 time: 1.0347 data_time: 0.0222 memory: 22681 loss: 1.9082 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9082 2022/10/30 15:13:17 - mmengine - INFO - Epoch(train) [82][620/660] lr: 1.2341e-03 eta: 3:27:11 time: 1.0376 data_time: 0.0190 memory: 22681 loss: 1.7107 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7107 2022/10/30 15:13:38 - mmengine - INFO - Epoch(train) [82][640/660] lr: 1.2312e-03 eta: 3:26:50 time: 1.0270 data_time: 0.0197 memory: 22681 loss: 1.8828 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8828 2022/10/30 15:13:58 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 15:13:58 - mmengine - INFO - Epoch(train) [82][660/660] lr: 1.2284e-03 eta: 3:26:29 time: 1.0181 data_time: 0.0192 memory: 22681 loss: 1.8188 top1_acc: 0.6429 top5_acc: 1.0000 loss_cls: 1.8188 2022/10/30 15:14:01 - mmengine - INFO - Epoch(val) [82][20/194] eta: 0:00:23 time: 0.1375 data_time: 0.0353 memory: 2517 2022/10/30 15:14:03 - mmengine - INFO - Epoch(val) [82][40/194] eta: 0:00:17 time: 0.1110 data_time: 0.0084 memory: 2517 2022/10/30 15:14:05 - mmengine - INFO - Epoch(val) [82][60/194] eta: 0:00:14 time: 0.1100 data_time: 0.0079 memory: 2517 2022/10/30 15:14:07 - mmengine - INFO - Epoch(val) [82][80/194] eta: 0:00:12 time: 0.1096 data_time: 0.0079 memory: 2517 2022/10/30 15:14:09 - mmengine - INFO - Epoch(val) [82][100/194] eta: 0:00:10 time: 0.1111 data_time: 0.0082 memory: 2517 2022/10/30 15:14:12 - mmengine - INFO - Epoch(val) [82][120/194] eta: 0:00:08 time: 0.1098 data_time: 0.0081 memory: 2517 2022/10/30 15:14:14 - mmengine - INFO - Epoch(val) [82][140/194] eta: 0:00:05 time: 0.1093 data_time: 0.0081 memory: 2517 2022/10/30 15:14:16 - mmengine - INFO - Epoch(val) [82][160/194] eta: 0:00:03 time: 0.1089 data_time: 0.0076 memory: 2517 2022/10/30 15:14:18 - mmengine - INFO - Epoch(val) [82][180/194] eta: 0:00:01 time: 0.1106 data_time: 0.0086 memory: 2517 2022/10/30 15:14:21 - mmengine - INFO - Epoch(val) [82][194/194] acc/top1: 0.6656 acc/top5: 0.9081 acc/mean1: 0.6043 2022/10/30 15:14:50 - mmengine - INFO - Epoch(train) [83][20/660] lr: 1.2255e-03 eta: 3:26:10 time: 1.4513 data_time: 0.2305 memory: 22681 loss: 2.0099 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0099 2022/10/30 15:15:10 - mmengine - INFO - Epoch(train) [83][40/660] lr: 1.2227e-03 eta: 3:25:49 time: 1.0210 data_time: 0.0201 memory: 22681 loss: 1.8683 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8683 2022/10/30 15:15:31 - mmengine - INFO - Epoch(train) [83][60/660] lr: 1.2198e-03 eta: 3:25:28 time: 1.0239 data_time: 0.0184 memory: 22681 loss: 1.7320 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7320 2022/10/30 15:15:51 - mmengine - INFO - Epoch(train) [83][80/660] lr: 1.2170e-03 eta: 3:25:07 time: 1.0240 data_time: 0.0194 memory: 22681 loss: 1.9064 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9064 2022/10/30 15:16:12 - mmengine - INFO - Epoch(train) [83][100/660] lr: 1.2141e-03 eta: 3:24:46 time: 1.0407 data_time: 0.0212 memory: 22681 loss: 1.8590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8590 2022/10/30 15:16:33 - mmengine - INFO - Epoch(train) [83][120/660] lr: 1.2113e-03 eta: 3:24:25 time: 1.0380 data_time: 0.0229 memory: 22681 loss: 1.7936 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7936 2022/10/30 15:16:53 - mmengine - INFO - Epoch(train) [83][140/660] lr: 1.2085e-03 eta: 3:24:04 time: 1.0249 data_time: 0.0194 memory: 22681 loss: 1.8363 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8363 2022/10/30 15:17:14 - mmengine - INFO - Epoch(train) [83][160/660] lr: 1.2056e-03 eta: 3:23:44 time: 1.0260 data_time: 0.0189 memory: 22681 loss: 1.9059 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9059 2022/10/30 15:17:35 - mmengine - INFO - Epoch(train) [83][180/660] lr: 1.2028e-03 eta: 3:23:23 time: 1.0462 data_time: 0.0203 memory: 22681 loss: 2.1048 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1048 2022/10/30 15:17:55 - mmengine - INFO - Epoch(train) [83][200/660] lr: 1.2000e-03 eta: 3:23:02 time: 1.0278 data_time: 0.0223 memory: 22681 loss: 2.0305 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0305 2022/10/30 15:18:16 - mmengine - INFO - Epoch(train) [83][220/660] lr: 1.1971e-03 eta: 3:22:41 time: 1.0266 data_time: 0.0186 memory: 22681 loss: 1.9424 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9424 2022/10/30 15:18:37 - mmengine - INFO - Epoch(train) [83][240/660] lr: 1.1943e-03 eta: 3:22:20 time: 1.0295 data_time: 0.0189 memory: 22681 loss: 1.8719 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8719 2022/10/30 15:18:57 - mmengine - INFO - Epoch(train) [83][260/660] lr: 1.1915e-03 eta: 3:21:59 time: 1.0406 data_time: 0.0214 memory: 22681 loss: 1.9607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9607 2022/10/30 15:19:18 - mmengine - INFO - Epoch(train) [83][280/660] lr: 1.1887e-03 eta: 3:21:38 time: 1.0265 data_time: 0.0220 memory: 22681 loss: 1.8589 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8589 2022/10/30 15:19:38 - mmengine - INFO - Epoch(train) [83][300/660] lr: 1.1859e-03 eta: 3:21:17 time: 1.0284 data_time: 0.0190 memory: 22681 loss: 1.9558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9558 2022/10/30 15:19:59 - mmengine - INFO - Epoch(train) [83][320/660] lr: 1.1831e-03 eta: 3:20:56 time: 1.0277 data_time: 0.0195 memory: 22681 loss: 1.8543 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8543 2022/10/30 15:20:20 - mmengine - INFO - Epoch(train) [83][340/660] lr: 1.1803e-03 eta: 3:20:35 time: 1.0425 data_time: 0.0201 memory: 22681 loss: 1.8155 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8155 2022/10/30 15:20:40 - mmengine - INFO - Epoch(train) [83][360/660] lr: 1.1775e-03 eta: 3:20:14 time: 1.0270 data_time: 0.0237 memory: 22681 loss: 1.8606 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8606 2022/10/30 15:21:01 - mmengine - INFO - Epoch(train) [83][380/660] lr: 1.1747e-03 eta: 3:19:54 time: 1.0271 data_time: 0.0183 memory: 22681 loss: 1.8720 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8720 2022/10/30 15:21:22 - mmengine - INFO - Epoch(train) [83][400/660] lr: 1.1719e-03 eta: 3:19:33 time: 1.0264 data_time: 0.0181 memory: 22681 loss: 1.9308 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9308 2022/10/30 15:21:42 - mmengine - INFO - Epoch(train) [83][420/660] lr: 1.1691e-03 eta: 3:19:12 time: 1.0409 data_time: 0.0205 memory: 22681 loss: 1.7658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7658 2022/10/30 15:22:03 - mmengine - INFO - Epoch(train) [83][440/660] lr: 1.1663e-03 eta: 3:18:51 time: 1.0295 data_time: 0.0219 memory: 22681 loss: 1.8081 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8081 2022/10/30 15:22:23 - mmengine - INFO - Epoch(train) [83][460/660] lr: 1.1636e-03 eta: 3:18:30 time: 1.0262 data_time: 0.0192 memory: 22681 loss: 1.9904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9904 2022/10/30 15:22:44 - mmengine - INFO - Epoch(train) [83][480/660] lr: 1.1608e-03 eta: 3:18:09 time: 1.0259 data_time: 0.0201 memory: 22681 loss: 1.9198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9198 2022/10/30 15:23:05 - mmengine - INFO - Epoch(train) [83][500/660] lr: 1.1580e-03 eta: 3:17:48 time: 1.0442 data_time: 0.0206 memory: 22681 loss: 1.9500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9500 2022/10/30 15:23:25 - mmengine - INFO - Epoch(train) [83][520/660] lr: 1.1552e-03 eta: 3:17:27 time: 1.0295 data_time: 0.0250 memory: 22681 loss: 1.8526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8526 2022/10/30 15:23:46 - mmengine - INFO - Epoch(train) [83][540/660] lr: 1.1525e-03 eta: 3:17:06 time: 1.0277 data_time: 0.0191 memory: 22681 loss: 1.9434 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9434 2022/10/30 15:24:07 - mmengine - INFO - Epoch(train) [83][560/660] lr: 1.1497e-03 eta: 3:16:45 time: 1.0278 data_time: 0.0176 memory: 22681 loss: 1.9116 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9116 2022/10/30 15:24:27 - mmengine - INFO - Epoch(train) [83][580/660] lr: 1.1470e-03 eta: 3:16:25 time: 1.0462 data_time: 0.0183 memory: 22681 loss: 1.8073 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8073 2022/10/30 15:24:48 - mmengine - INFO - Epoch(train) [83][600/660] lr: 1.1442e-03 eta: 3:16:04 time: 1.0357 data_time: 0.0241 memory: 22681 loss: 1.8223 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8223 2022/10/30 15:25:09 - mmengine - INFO - Epoch(train) [83][620/660] lr: 1.1414e-03 eta: 3:15:43 time: 1.0298 data_time: 0.0202 memory: 22681 loss: 1.8494 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8494 2022/10/30 15:25:29 - mmengine - INFO - Epoch(train) [83][640/660] lr: 1.1387e-03 eta: 3:15:22 time: 1.0254 data_time: 0.0201 memory: 22681 loss: 1.8339 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8339 2022/10/30 15:25:50 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 15:25:50 - mmengine - INFO - Epoch(train) [83][660/660] lr: 1.1360e-03 eta: 3:15:01 time: 1.0200 data_time: 0.0201 memory: 22681 loss: 1.9429 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.9429 2022/10/30 15:25:53 - mmengine - INFO - Epoch(val) [83][20/194] eta: 0:00:24 time: 0.1414 data_time: 0.0392 memory: 2517 2022/10/30 15:25:55 - mmengine - INFO - Epoch(val) [83][40/194] eta: 0:00:16 time: 0.1086 data_time: 0.0075 memory: 2517 2022/10/30 15:25:57 - mmengine - INFO - Epoch(val) [83][60/194] eta: 0:00:14 time: 0.1092 data_time: 0.0080 memory: 2517 2022/10/30 15:25:59 - mmengine - INFO - Epoch(val) [83][80/194] eta: 0:00:12 time: 0.1087 data_time: 0.0074 memory: 2517 2022/10/30 15:26:01 - mmengine - INFO - Epoch(val) [83][100/194] eta: 0:00:10 time: 0.1092 data_time: 0.0078 memory: 2517 2022/10/30 15:26:03 - mmengine - INFO - Epoch(val) [83][120/194] eta: 0:00:08 time: 0.1111 data_time: 0.0085 memory: 2517 2022/10/30 15:26:06 - mmengine - INFO - Epoch(val) [83][140/194] eta: 0:00:05 time: 0.1087 data_time: 0.0078 memory: 2517 2022/10/30 15:26:08 - mmengine - INFO - Epoch(val) [83][160/194] eta: 0:00:03 time: 0.1090 data_time: 0.0082 memory: 2517 2022/10/30 15:26:10 - mmengine - INFO - Epoch(val) [83][180/194] eta: 0:00:01 time: 0.1088 data_time: 0.0080 memory: 2517 2022/10/30 15:26:13 - mmengine - INFO - Epoch(val) [83][194/194] acc/top1: 0.6648 acc/top5: 0.9062 acc/mean1: 0.6007 2022/10/30 15:26:42 - mmengine - INFO - Epoch(train) [84][20/660] lr: 1.1332e-03 eta: 3:14:42 time: 1.4723 data_time: 0.2408 memory: 22681 loss: 1.8443 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8443 2022/10/30 15:27:03 - mmengine - INFO - Epoch(train) [84][40/660] lr: 1.1305e-03 eta: 3:14:21 time: 1.0271 data_time: 0.0198 memory: 22681 loss: 1.8461 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8461 2022/10/30 15:27:23 - mmengine - INFO - Epoch(train) [84][60/660] lr: 1.1277e-03 eta: 3:14:00 time: 1.0235 data_time: 0.0195 memory: 22681 loss: 1.8131 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8131 2022/10/30 15:27:44 - mmengine - INFO - Epoch(train) [84][80/660] lr: 1.1250e-03 eta: 3:13:39 time: 1.0253 data_time: 0.0190 memory: 22681 loss: 1.9419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9419 2022/10/30 15:28:05 - mmengine - INFO - Epoch(train) [84][100/660] lr: 1.1223e-03 eta: 3:13:18 time: 1.0426 data_time: 0.0232 memory: 22681 loss: 1.7615 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7615 2022/10/30 15:28:25 - mmengine - INFO - Epoch(train) [84][120/660] lr: 1.1196e-03 eta: 3:12:57 time: 1.0327 data_time: 0.0182 memory: 22681 loss: 1.7795 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7795 2022/10/30 15:28:46 - mmengine - INFO - Epoch(train) [84][140/660] lr: 1.1168e-03 eta: 3:12:36 time: 1.0295 data_time: 0.0197 memory: 22681 loss: 1.8368 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8368 2022/10/30 15:29:07 - mmengine - INFO - Epoch(train) [84][160/660] lr: 1.1141e-03 eta: 3:12:15 time: 1.0309 data_time: 0.0205 memory: 22681 loss: 1.9227 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9227 2022/10/30 15:29:27 - mmengine - INFO - Epoch(train) [84][180/660] lr: 1.1114e-03 eta: 3:11:54 time: 1.0435 data_time: 0.0260 memory: 22681 loss: 1.9231 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9231 2022/10/30 15:29:48 - mmengine - INFO - Epoch(train) [84][200/660] lr: 1.1087e-03 eta: 3:11:34 time: 1.0372 data_time: 0.0202 memory: 22681 loss: 1.8420 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8420 2022/10/30 15:30:09 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 15:30:09 - mmengine - INFO - Epoch(train) [84][220/660] lr: 1.1060e-03 eta: 3:11:13 time: 1.0315 data_time: 0.0199 memory: 22681 loss: 1.9356 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9356 2022/10/30 15:30:29 - mmengine - INFO - Epoch(train) [84][240/660] lr: 1.1033e-03 eta: 3:10:52 time: 1.0281 data_time: 0.0200 memory: 22681 loss: 1.8628 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8628 2022/10/30 15:30:50 - mmengine - INFO - Epoch(train) [84][260/660] lr: 1.1006e-03 eta: 3:10:31 time: 1.0422 data_time: 0.0251 memory: 22681 loss: 1.9287 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9287 2022/10/30 15:31:11 - mmengine - INFO - Epoch(train) [84][280/660] lr: 1.0979e-03 eta: 3:10:10 time: 1.0345 data_time: 0.0190 memory: 22681 loss: 1.9204 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9204 2022/10/30 15:31:31 - mmengine - INFO - Epoch(train) [84][300/660] lr: 1.0952e-03 eta: 3:09:49 time: 1.0251 data_time: 0.0188 memory: 22681 loss: 1.8558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8558 2022/10/30 15:31:52 - mmengine - INFO - Epoch(train) [84][320/660] lr: 1.0925e-03 eta: 3:09:28 time: 1.0271 data_time: 0.0193 memory: 22681 loss: 1.9228 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9228 2022/10/30 15:32:13 - mmengine - INFO - Epoch(train) [84][340/660] lr: 1.0899e-03 eta: 3:09:07 time: 1.0437 data_time: 0.0237 memory: 22681 loss: 2.0211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0211 2022/10/30 15:32:34 - mmengine - INFO - Epoch(train) [84][360/660] lr: 1.0872e-03 eta: 3:08:46 time: 1.0319 data_time: 0.0194 memory: 22681 loss: 1.7971 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7971 2022/10/30 15:32:54 - mmengine - INFO - Epoch(train) [84][380/660] lr: 1.0845e-03 eta: 3:08:25 time: 1.0311 data_time: 0.0193 memory: 22681 loss: 1.9118 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.9118 2022/10/30 15:33:15 - mmengine - INFO - Epoch(train) [84][400/660] lr: 1.0818e-03 eta: 3:08:05 time: 1.0262 data_time: 0.0200 memory: 22681 loss: 1.8921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8921 2022/10/30 15:33:36 - mmengine - INFO - Epoch(train) [84][420/660] lr: 1.0792e-03 eta: 3:07:44 time: 1.0512 data_time: 0.0244 memory: 22681 loss: 1.8745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8745 2022/10/30 15:33:56 - mmengine - INFO - Epoch(train) [84][440/660] lr: 1.0765e-03 eta: 3:07:23 time: 1.0381 data_time: 0.0189 memory: 22681 loss: 1.9768 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9768 2022/10/30 15:34:17 - mmengine - INFO - Epoch(train) [84][460/660] lr: 1.0738e-03 eta: 3:07:02 time: 1.0319 data_time: 0.0189 memory: 22681 loss: 1.7536 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7536 2022/10/30 15:34:38 - mmengine - INFO - Epoch(train) [84][480/660] lr: 1.0712e-03 eta: 3:06:41 time: 1.0338 data_time: 0.0194 memory: 22681 loss: 1.8688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8688 2022/10/30 15:34:59 - mmengine - INFO - Epoch(train) [84][500/660] lr: 1.0685e-03 eta: 3:06:20 time: 1.0492 data_time: 0.0258 memory: 22681 loss: 1.9032 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9032 2022/10/30 15:35:20 - mmengine - INFO - Epoch(train) [84][520/660] lr: 1.0659e-03 eta: 3:05:59 time: 1.0383 data_time: 0.0193 memory: 22681 loss: 1.7744 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7744 2022/10/30 15:35:40 - mmengine - INFO - Epoch(train) [84][540/660] lr: 1.0632e-03 eta: 3:05:38 time: 1.0323 data_time: 0.0200 memory: 22681 loss: 1.9086 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9086 2022/10/30 15:36:01 - mmengine - INFO - Epoch(train) [84][560/660] lr: 1.0606e-03 eta: 3:05:18 time: 1.0298 data_time: 0.0199 memory: 22681 loss: 1.8847 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8847 2022/10/30 15:36:22 - mmengine - INFO - Epoch(train) [84][580/660] lr: 1.0580e-03 eta: 3:04:57 time: 1.0444 data_time: 0.0258 memory: 22681 loss: 1.7852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7852 2022/10/30 15:36:42 - mmengine - INFO - Epoch(train) [84][600/660] lr: 1.0553e-03 eta: 3:04:36 time: 1.0369 data_time: 0.0196 memory: 22681 loss: 1.8936 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8936 2022/10/30 15:37:03 - mmengine - INFO - Epoch(train) [84][620/660] lr: 1.0527e-03 eta: 3:04:15 time: 1.0278 data_time: 0.0194 memory: 22681 loss: 1.8468 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8468 2022/10/30 15:37:23 - mmengine - INFO - Epoch(train) [84][640/660] lr: 1.0501e-03 eta: 3:03:54 time: 1.0251 data_time: 0.0209 memory: 22681 loss: 1.8731 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8731 2022/10/30 15:37:44 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 15:37:44 - mmengine - INFO - Epoch(train) [84][660/660] lr: 1.0474e-03 eta: 3:03:33 time: 1.0153 data_time: 0.0212 memory: 22681 loss: 1.9339 top1_acc: 0.5000 top5_acc: 0.7143 loss_cls: 1.9339 2022/10/30 15:37:44 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/10/30 15:37:48 - mmengine - INFO - Epoch(val) [84][20/194] eta: 0:00:22 time: 0.1276 data_time: 0.0255 memory: 2517 2022/10/30 15:37:50 - mmengine - INFO - Epoch(val) [84][40/194] eta: 0:00:16 time: 0.1091 data_time: 0.0077 memory: 2517 2022/10/30 15:37:52 - mmengine - INFO - Epoch(val) [84][60/194] eta: 0:00:14 time: 0.1086 data_time: 0.0078 memory: 2517 2022/10/30 15:37:54 - mmengine - INFO - Epoch(val) [84][80/194] eta: 0:00:12 time: 0.1086 data_time: 0.0077 memory: 2517 2022/10/30 15:37:56 - mmengine - INFO - Epoch(val) [84][100/194] eta: 0:00:10 time: 0.1085 data_time: 0.0074 memory: 2517 2022/10/30 15:37:58 - mmengine - INFO - Epoch(val) [84][120/194] eta: 0:00:08 time: 0.1087 data_time: 0.0077 memory: 2517 2022/10/30 15:38:01 - mmengine - INFO - Epoch(val) [84][140/194] eta: 0:00:05 time: 0.1083 data_time: 0.0073 memory: 2517 2022/10/30 15:38:03 - mmengine - INFO - Epoch(val) [84][160/194] eta: 0:00:03 time: 0.1086 data_time: 0.0076 memory: 2517 2022/10/30 15:38:05 - mmengine - INFO - Epoch(val) [84][180/194] eta: 0:00:01 time: 0.1076 data_time: 0.0071 memory: 2517 2022/10/30 15:38:07 - mmengine - INFO - Epoch(val) [84][194/194] acc/top1: 0.6672 acc/top5: 0.9065 acc/mean1: 0.6065 2022/10/30 15:38:07 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_80.pth is removed 2022/10/30 15:38:09 - mmengine - INFO - The best checkpoint with 0.6672 acc/top1 at 84 epoch is saved to best_acc/top1_epoch_84.pth. 2022/10/30 15:38:36 - mmengine - INFO - Epoch(train) [85][20/660] lr: 1.0448e-03 eta: 3:03:13 time: 1.3806 data_time: 0.2641 memory: 22681 loss: 1.8404 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8404 2022/10/30 15:38:57 - mmengine - INFO - Epoch(train) [85][40/660] lr: 1.0422e-03 eta: 3:02:52 time: 1.0208 data_time: 0.0175 memory: 22681 loss: 1.9568 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9568 2022/10/30 15:39:17 - mmengine - INFO - Epoch(train) [85][60/660] lr: 1.0396e-03 eta: 3:02:32 time: 1.0181 data_time: 0.0178 memory: 22681 loss: 1.9354 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9354 2022/10/30 15:39:37 - mmengine - INFO - Epoch(train) [85][80/660] lr: 1.0370e-03 eta: 3:02:11 time: 1.0179 data_time: 0.0183 memory: 22681 loss: 1.7536 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7536 2022/10/30 15:39:58 - mmengine - INFO - Epoch(train) [85][100/660] lr: 1.0344e-03 eta: 3:01:50 time: 1.0304 data_time: 0.0239 memory: 22681 loss: 1.8634 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8634 2022/10/30 15:40:18 - mmengine - INFO - Epoch(train) [85][120/660] lr: 1.0318e-03 eta: 3:01:29 time: 1.0196 data_time: 0.0190 memory: 22681 loss: 1.7733 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7733 2022/10/30 15:40:39 - mmengine - INFO - Epoch(train) [85][140/660] lr: 1.0292e-03 eta: 3:01:08 time: 1.0165 data_time: 0.0195 memory: 22681 loss: 1.9016 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9016 2022/10/30 15:40:59 - mmengine - INFO - Epoch(train) [85][160/660] lr: 1.0266e-03 eta: 3:00:47 time: 1.0145 data_time: 0.0196 memory: 22681 loss: 1.8499 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8499 2022/10/30 15:41:20 - mmengine - INFO - Epoch(train) [85][180/660] lr: 1.0240e-03 eta: 3:00:26 time: 1.0298 data_time: 0.0244 memory: 22681 loss: 1.8060 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8060 2022/10/30 15:41:40 - mmengine - INFO - Epoch(train) [85][200/660] lr: 1.0214e-03 eta: 3:00:05 time: 1.0185 data_time: 0.0191 memory: 22681 loss: 1.8397 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8397 2022/10/30 15:42:00 - mmengine - INFO - Epoch(train) [85][220/660] lr: 1.0188e-03 eta: 2:59:44 time: 1.0172 data_time: 0.0198 memory: 22681 loss: 1.8910 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8910 2022/10/30 15:42:21 - mmengine - INFO - Epoch(train) [85][240/660] lr: 1.0162e-03 eta: 2:59:23 time: 1.0180 data_time: 0.0206 memory: 22681 loss: 1.8797 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8797 2022/10/30 15:42:41 - mmengine - INFO - Epoch(train) [85][260/660] lr: 1.0137e-03 eta: 2:59:02 time: 1.0266 data_time: 0.0241 memory: 22681 loss: 1.9106 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9106 2022/10/30 15:43:02 - mmengine - INFO - Epoch(train) [85][280/660] lr: 1.0111e-03 eta: 2:58:41 time: 1.0199 data_time: 0.0196 memory: 22681 loss: 1.8722 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8722 2022/10/30 15:43:22 - mmengine - INFO - Epoch(train) [85][300/660] lr: 1.0085e-03 eta: 2:58:20 time: 1.0193 data_time: 0.0216 memory: 22681 loss: 1.8792 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8792 2022/10/30 15:43:42 - mmengine - INFO - Epoch(train) [85][320/660] lr: 1.0060e-03 eta: 2:57:59 time: 1.0201 data_time: 0.0202 memory: 22681 loss: 1.8814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8814 2022/10/30 15:44:03 - mmengine - INFO - Epoch(train) [85][340/660] lr: 1.0034e-03 eta: 2:57:38 time: 1.0342 data_time: 0.0240 memory: 22681 loss: 1.8652 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8652 2022/10/30 15:44:23 - mmengine - INFO - Epoch(train) [85][360/660] lr: 1.0008e-03 eta: 2:57:17 time: 1.0175 data_time: 0.0196 memory: 22681 loss: 1.9343 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9343 2022/10/30 15:44:44 - mmengine - INFO - Epoch(train) [85][380/660] lr: 9.9828e-04 eta: 2:56:56 time: 1.0185 data_time: 0.0199 memory: 22681 loss: 1.7718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7718 2022/10/30 15:45:04 - mmengine - INFO - Epoch(train) [85][400/660] lr: 9.9573e-04 eta: 2:56:36 time: 1.0223 data_time: 0.0200 memory: 22681 loss: 1.7639 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7639 2022/10/30 15:45:25 - mmengine - INFO - Epoch(train) [85][420/660] lr: 9.9318e-04 eta: 2:56:15 time: 1.0362 data_time: 0.0277 memory: 22681 loss: 1.8519 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8519 2022/10/30 15:45:45 - mmengine - INFO - Epoch(train) [85][440/660] lr: 9.9064e-04 eta: 2:55:54 time: 1.0189 data_time: 0.0180 memory: 22681 loss: 1.8485 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8485 2022/10/30 15:46:06 - mmengine - INFO - Epoch(train) [85][460/660] lr: 9.8810e-04 eta: 2:55:33 time: 1.0187 data_time: 0.0223 memory: 22681 loss: 1.7932 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7932 2022/10/30 15:46:26 - mmengine - INFO - Epoch(train) [85][480/660] lr: 9.8557e-04 eta: 2:55:12 time: 1.0133 data_time: 0.0191 memory: 22681 loss: 1.8350 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8350 2022/10/30 15:46:47 - mmengine - INFO - Epoch(train) [85][500/660] lr: 9.8304e-04 eta: 2:54:51 time: 1.0284 data_time: 0.0234 memory: 22681 loss: 1.7982 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.7982 2022/10/30 15:47:07 - mmengine - INFO - Epoch(train) [85][520/660] lr: 9.8051e-04 eta: 2:54:30 time: 1.0166 data_time: 0.0186 memory: 22681 loss: 1.8417 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8417 2022/10/30 15:47:27 - mmengine - INFO - Epoch(train) [85][540/660] lr: 9.7798e-04 eta: 2:54:09 time: 1.0154 data_time: 0.0182 memory: 22681 loss: 1.9428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9428 2022/10/30 15:47:48 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 15:47:48 - mmengine - INFO - Epoch(train) [85][560/660] lr: 9.7546e-04 eta: 2:53:48 time: 1.0177 data_time: 0.0197 memory: 22681 loss: 1.8705 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8705 2022/10/30 15:48:08 - mmengine - INFO - Epoch(train) [85][580/660] lr: 9.7295e-04 eta: 2:53:27 time: 1.0365 data_time: 0.0251 memory: 22681 loss: 1.8857 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8857 2022/10/30 15:48:29 - mmengine - INFO - Epoch(train) [85][600/660] lr: 9.7043e-04 eta: 2:53:06 time: 1.0224 data_time: 0.0191 memory: 22681 loss: 1.9118 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9118 2022/10/30 15:48:49 - mmengine - INFO - Epoch(train) [85][620/660] lr: 9.6793e-04 eta: 2:52:45 time: 1.0184 data_time: 0.0196 memory: 22681 loss: 1.8776 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8776 2022/10/30 15:49:09 - mmengine - INFO - Epoch(train) [85][640/660] lr: 9.6542e-04 eta: 2:52:24 time: 1.0180 data_time: 0.0203 memory: 22681 loss: 1.8204 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8204 2022/10/30 15:49:30 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 15:49:30 - mmengine - INFO - Epoch(train) [85][660/660] lr: 9.6292e-04 eta: 2:52:03 time: 1.0097 data_time: 0.0214 memory: 22681 loss: 1.8103 top1_acc: 0.7857 top5_acc: 0.9286 loss_cls: 1.8103 2022/10/30 15:49:32 - mmengine - INFO - Epoch(val) [85][20/194] eta: 0:00:23 time: 0.1350 data_time: 0.0323 memory: 2517 2022/10/30 15:49:35 - mmengine - INFO - Epoch(val) [85][40/194] eta: 0:00:17 time: 0.1128 data_time: 0.0088 memory: 2517 2022/10/30 15:49:37 - mmengine - INFO - Epoch(val) [85][60/194] eta: 0:00:14 time: 0.1112 data_time: 0.0081 memory: 2517 2022/10/30 15:49:39 - mmengine - INFO - Epoch(val) [85][80/194] eta: 0:00:12 time: 0.1101 data_time: 0.0079 memory: 2517 2022/10/30 15:49:41 - mmengine - INFO - Epoch(val) [85][100/194] eta: 0:00:10 time: 0.1103 data_time: 0.0078 memory: 2517 2022/10/30 15:49:44 - mmengine - INFO - Epoch(val) [85][120/194] eta: 0:00:08 time: 0.1101 data_time: 0.0078 memory: 2517 2022/10/30 15:49:46 - mmengine - INFO - Epoch(val) [85][140/194] eta: 0:00:05 time: 0.1098 data_time: 0.0076 memory: 2517 2022/10/30 15:49:48 - mmengine - INFO - Epoch(val) [85][160/194] eta: 0:00:03 time: 0.1099 data_time: 0.0077 memory: 2517 2022/10/30 15:49:50 - mmengine - INFO - Epoch(val) [85][180/194] eta: 0:00:01 time: 0.1085 data_time: 0.0075 memory: 2517 2022/10/30 15:49:54 - mmengine - INFO - Epoch(val) [85][194/194] acc/top1: 0.6662 acc/top5: 0.9072 acc/mean1: 0.6058 2022/10/30 15:50:23 - mmengine - INFO - Epoch(train) [86][20/660] lr: 9.6042e-04 eta: 2:51:44 time: 1.4462 data_time: 0.3090 memory: 22681 loss: 1.8566 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8566 2022/10/30 15:50:43 - mmengine - INFO - Epoch(train) [86][40/660] lr: 9.5793e-04 eta: 2:51:23 time: 1.0199 data_time: 0.0194 memory: 22681 loss: 1.8583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8583 2022/10/30 15:51:03 - mmengine - INFO - Epoch(train) [86][60/660] lr: 9.5544e-04 eta: 2:51:02 time: 1.0212 data_time: 0.0185 memory: 22681 loss: 1.7026 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7026 2022/10/30 15:51:24 - mmengine - INFO - Epoch(train) [86][80/660] lr: 9.5295e-04 eta: 2:50:41 time: 1.0231 data_time: 0.0201 memory: 22681 loss: 1.9263 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9263 2022/10/30 15:51:45 - mmengine - INFO - Epoch(train) [86][100/660] lr: 9.5047e-04 eta: 2:50:20 time: 1.0377 data_time: 0.0228 memory: 22681 loss: 1.7028 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7028 2022/10/30 15:52:05 - mmengine - INFO - Epoch(train) [86][120/660] lr: 9.4799e-04 eta: 2:49:59 time: 1.0277 data_time: 0.0186 memory: 22681 loss: 1.8954 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8954 2022/10/30 15:52:26 - mmengine - INFO - Epoch(train) [86][140/660] lr: 9.4551e-04 eta: 2:49:38 time: 1.0254 data_time: 0.0181 memory: 22681 loss: 1.9192 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9192 2022/10/30 15:52:46 - mmengine - INFO - Epoch(train) [86][160/660] lr: 9.4304e-04 eta: 2:49:17 time: 1.0301 data_time: 0.0187 memory: 22681 loss: 1.8590 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8590 2022/10/30 15:53:07 - mmengine - INFO - Epoch(train) [86][180/660] lr: 9.4057e-04 eta: 2:48:57 time: 1.0417 data_time: 0.0242 memory: 22681 loss: 1.8485 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8485 2022/10/30 15:53:28 - mmengine - INFO - Epoch(train) [86][200/660] lr: 9.3811e-04 eta: 2:48:36 time: 1.0326 data_time: 0.0185 memory: 22681 loss: 1.8792 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8792 2022/10/30 15:53:48 - mmengine - INFO - Epoch(train) [86][220/660] lr: 9.3565e-04 eta: 2:48:15 time: 1.0275 data_time: 0.0187 memory: 22681 loss: 1.7659 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7659 2022/10/30 15:54:09 - mmengine - INFO - Epoch(train) [86][240/660] lr: 9.3319e-04 eta: 2:47:54 time: 1.0264 data_time: 0.0198 memory: 22681 loss: 1.9749 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9749 2022/10/30 15:54:30 - mmengine - INFO - Epoch(train) [86][260/660] lr: 9.3074e-04 eta: 2:47:33 time: 1.0420 data_time: 0.0242 memory: 22681 loss: 1.7833 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7833 2022/10/30 15:54:50 - mmengine - INFO - Epoch(train) [86][280/660] lr: 9.2829e-04 eta: 2:47:12 time: 1.0324 data_time: 0.0191 memory: 22681 loss: 1.9717 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9717 2022/10/30 15:55:11 - mmengine - INFO - Epoch(train) [86][300/660] lr: 9.2585e-04 eta: 2:46:51 time: 1.0263 data_time: 0.0189 memory: 22681 loss: 2.0060 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0060 2022/10/30 15:55:32 - mmengine - INFO - Epoch(train) [86][320/660] lr: 9.2340e-04 eta: 2:46:30 time: 1.0292 data_time: 0.0196 memory: 22681 loss: 1.7505 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7505 2022/10/30 15:55:52 - mmengine - INFO - Epoch(train) [86][340/660] lr: 9.2097e-04 eta: 2:46:09 time: 1.0432 data_time: 0.0243 memory: 22681 loss: 1.8478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8478 2022/10/30 15:56:13 - mmengine - INFO - Epoch(train) [86][360/660] lr: 9.1853e-04 eta: 2:45:49 time: 1.0363 data_time: 0.0197 memory: 22681 loss: 1.8043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8043 2022/10/30 15:56:34 - mmengine - INFO - Epoch(train) [86][380/660] lr: 9.1610e-04 eta: 2:45:28 time: 1.0376 data_time: 0.0194 memory: 22681 loss: 1.8068 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8068 2022/10/30 15:56:54 - mmengine - INFO - Epoch(train) [86][400/660] lr: 9.1368e-04 eta: 2:45:07 time: 1.0295 data_time: 0.0196 memory: 22681 loss: 1.8751 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8751 2022/10/30 15:57:15 - mmengine - INFO - Epoch(train) [86][420/660] lr: 9.1125e-04 eta: 2:44:46 time: 1.0439 data_time: 0.0237 memory: 22681 loss: 1.8285 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8285 2022/10/30 15:57:36 - mmengine - INFO - Epoch(train) [86][440/660] lr: 9.0884e-04 eta: 2:44:25 time: 1.0328 data_time: 0.0193 memory: 22681 loss: 1.7429 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7429 2022/10/30 15:57:57 - mmengine - INFO - Epoch(train) [86][460/660] lr: 9.0642e-04 eta: 2:44:04 time: 1.0292 data_time: 0.0189 memory: 22681 loss: 1.7414 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7414 2022/10/30 15:58:17 - mmengine - INFO - Epoch(train) [86][480/660] lr: 9.0401e-04 eta: 2:43:43 time: 1.0353 data_time: 0.0221 memory: 22681 loss: 1.7956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7956 2022/10/30 15:58:38 - mmengine - INFO - Epoch(train) [86][500/660] lr: 9.0160e-04 eta: 2:43:22 time: 1.0507 data_time: 0.0257 memory: 22681 loss: 1.7434 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7434 2022/10/30 15:58:59 - mmengine - INFO - Epoch(train) [86][520/660] lr: 8.9920e-04 eta: 2:43:02 time: 1.0416 data_time: 0.0194 memory: 22681 loss: 1.9849 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9849 2022/10/30 15:59:20 - mmengine - INFO - Epoch(train) [86][540/660] lr: 8.9680e-04 eta: 2:42:41 time: 1.0319 data_time: 0.0191 memory: 22681 loss: 1.7084 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7084 2022/10/30 15:59:40 - mmengine - INFO - Epoch(train) [86][560/660] lr: 8.9440e-04 eta: 2:42:20 time: 1.0307 data_time: 0.0185 memory: 22681 loss: 1.8129 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8129 2022/10/30 16:00:01 - mmengine - INFO - Epoch(train) [86][580/660] lr: 8.9201e-04 eta: 2:41:59 time: 1.0426 data_time: 0.0236 memory: 22681 loss: 1.9317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9317 2022/10/30 16:00:22 - mmengine - INFO - Epoch(train) [86][600/660] lr: 8.8962e-04 eta: 2:41:38 time: 1.0425 data_time: 0.0203 memory: 22681 loss: 1.8163 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8163 2022/10/30 16:00:43 - mmengine - INFO - Epoch(train) [86][620/660] lr: 8.8724e-04 eta: 2:41:17 time: 1.0351 data_time: 0.0187 memory: 22681 loss: 1.7418 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7418 2022/10/30 16:01:03 - mmengine - INFO - Epoch(train) [86][640/660] lr: 8.8486e-04 eta: 2:40:56 time: 1.0280 data_time: 0.0217 memory: 22681 loss: 1.8170 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8170 2022/10/30 16:01:24 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 16:01:24 - mmengine - INFO - Epoch(train) [86][660/660] lr: 8.8248e-04 eta: 2:40:35 time: 1.0198 data_time: 0.0213 memory: 22681 loss: 1.9395 top1_acc: 0.6429 top5_acc: 0.8571 loss_cls: 1.9395 2022/10/30 16:01:26 - mmengine - INFO - Epoch(val) [86][20/194] eta: 0:00:23 time: 0.1339 data_time: 0.0318 memory: 2517 2022/10/30 16:01:29 - mmengine - INFO - Epoch(val) [86][40/194] eta: 0:00:16 time: 0.1083 data_time: 0.0076 memory: 2517 2022/10/30 16:01:31 - mmengine - INFO - Epoch(val) [86][60/194] eta: 0:00:14 time: 0.1081 data_time: 0.0075 memory: 2517 2022/10/30 16:01:33 - mmengine - INFO - Epoch(val) [86][80/194] eta: 0:00:12 time: 0.1087 data_time: 0.0074 memory: 2517 2022/10/30 16:01:35 - mmengine - INFO - Epoch(val) [86][100/194] eta: 0:00:10 time: 0.1101 data_time: 0.0085 memory: 2517 2022/10/30 16:01:37 - mmengine - INFO - Epoch(val) [86][120/194] eta: 0:00:08 time: 0.1087 data_time: 0.0077 memory: 2517 2022/10/30 16:01:40 - mmengine - INFO - Epoch(val) [86][140/194] eta: 0:00:05 time: 0.1090 data_time: 0.0076 memory: 2517 2022/10/30 16:01:42 - mmengine - INFO - Epoch(val) [86][160/194] eta: 0:00:03 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 16:01:44 - mmengine - INFO - Epoch(val) [86][180/194] eta: 0:00:01 time: 0.1087 data_time: 0.0075 memory: 2517 2022/10/30 16:01:55 - mmengine - INFO - Epoch(val) [86][194/194] acc/top1: 0.6685 acc/top5: 0.9088 acc/mean1: 0.6050 2022/10/30 16:01:55 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_84.pth is removed 2022/10/30 16:01:56 - mmengine - INFO - The best checkpoint with 0.6685 acc/top1 at 86 epoch is saved to best_acc/top1_epoch_86.pth. 2022/10/30 16:02:24 - mmengine - INFO - Epoch(train) [87][20/660] lr: 8.8011e-04 eta: 2:40:16 time: 1.3912 data_time: 0.2322 memory: 22681 loss: 1.9464 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9464 2022/10/30 16:02:45 - mmengine - INFO - Epoch(train) [87][40/660] lr: 8.7774e-04 eta: 2:39:55 time: 1.0248 data_time: 0.0194 memory: 22681 loss: 1.8796 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8796 2022/10/30 16:03:05 - mmengine - INFO - Epoch(train) [87][60/660] lr: 8.7538e-04 eta: 2:39:34 time: 1.0289 data_time: 0.0198 memory: 22681 loss: 1.8915 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8915 2022/10/30 16:03:26 - mmengine - INFO - Epoch(train) [87][80/660] lr: 8.7301e-04 eta: 2:39:13 time: 1.0224 data_time: 0.0193 memory: 22681 loss: 1.7309 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7309 2022/10/30 16:03:46 - mmengine - INFO - Epoch(train) [87][100/660] lr: 8.7066e-04 eta: 2:38:52 time: 1.0407 data_time: 0.0255 memory: 22681 loss: 1.7217 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7217 2022/10/30 16:04:07 - mmengine - INFO - Epoch(train) [87][120/660] lr: 8.6830e-04 eta: 2:38:31 time: 1.0277 data_time: 0.0187 memory: 22681 loss: 1.8492 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8492 2022/10/30 16:04:28 - mmengine - INFO - Epoch(train) [87][140/660] lr: 8.6595e-04 eta: 2:38:10 time: 1.0254 data_time: 0.0203 memory: 22681 loss: 1.7240 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7240 2022/10/30 16:04:48 - mmengine - INFO - Epoch(train) [87][160/660] lr: 8.6361e-04 eta: 2:37:49 time: 1.0253 data_time: 0.0190 memory: 22681 loss: 1.8471 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8471 2022/10/30 16:05:09 - mmengine - INFO - Epoch(train) [87][180/660] lr: 8.6127e-04 eta: 2:37:28 time: 1.0365 data_time: 0.0241 memory: 22681 loss: 1.7867 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7867 2022/10/30 16:05:29 - mmengine - INFO - Epoch(train) [87][200/660] lr: 8.5893e-04 eta: 2:37:07 time: 1.0236 data_time: 0.0189 memory: 22681 loss: 1.8491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8491 2022/10/30 16:05:50 - mmengine - INFO - Epoch(train) [87][220/660] lr: 8.5659e-04 eta: 2:36:47 time: 1.0263 data_time: 0.0192 memory: 22681 loss: 1.8351 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8351 2022/10/30 16:06:10 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 16:06:10 - mmengine - INFO - Epoch(train) [87][240/660] lr: 8.5426e-04 eta: 2:36:26 time: 1.0235 data_time: 0.0184 memory: 22681 loss: 1.8245 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8245 2022/10/30 16:06:31 - mmengine - INFO - Epoch(train) [87][260/660] lr: 8.5193e-04 eta: 2:36:05 time: 1.0429 data_time: 0.0249 memory: 22681 loss: 1.8957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8957 2022/10/30 16:06:52 - mmengine - INFO - Epoch(train) [87][280/660] lr: 8.4961e-04 eta: 2:35:44 time: 1.0302 data_time: 0.0189 memory: 22681 loss: 1.9255 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9255 2022/10/30 16:07:12 - mmengine - INFO - Epoch(train) [87][300/660] lr: 8.4729e-04 eta: 2:35:23 time: 1.0264 data_time: 0.0193 memory: 22681 loss: 1.8355 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8355 2022/10/30 16:07:33 - mmengine - INFO - Epoch(train) [87][320/660] lr: 8.4498e-04 eta: 2:35:02 time: 1.0228 data_time: 0.0193 memory: 22681 loss: 1.8612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8612 2022/10/30 16:07:54 - mmengine - INFO - Epoch(train) [87][340/660] lr: 8.4267e-04 eta: 2:34:41 time: 1.0419 data_time: 0.0251 memory: 22681 loss: 1.7583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7583 2022/10/30 16:08:14 - mmengine - INFO - Epoch(train) [87][360/660] lr: 8.4036e-04 eta: 2:34:20 time: 1.0294 data_time: 0.0231 memory: 22681 loss: 1.7661 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.7661 2022/10/30 16:08:35 - mmengine - INFO - Epoch(train) [87][380/660] lr: 8.3805e-04 eta: 2:33:59 time: 1.0279 data_time: 0.0204 memory: 22681 loss: 1.9663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9663 2022/10/30 16:08:55 - mmengine - INFO - Epoch(train) [87][400/660] lr: 8.3575e-04 eta: 2:33:39 time: 1.0249 data_time: 0.0192 memory: 22681 loss: 1.9611 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9611 2022/10/30 16:09:16 - mmengine - INFO - Epoch(train) [87][420/660] lr: 8.3346e-04 eta: 2:33:18 time: 1.0414 data_time: 0.0253 memory: 22681 loss: 1.9894 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9894 2022/10/30 16:09:37 - mmengine - INFO - Epoch(train) [87][440/660] lr: 8.3117e-04 eta: 2:32:57 time: 1.0272 data_time: 0.0187 memory: 22681 loss: 1.9335 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9335 2022/10/30 16:09:57 - mmengine - INFO - Epoch(train) [87][460/660] lr: 8.2888e-04 eta: 2:32:36 time: 1.0277 data_time: 0.0187 memory: 22681 loss: 1.8165 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8165 2022/10/30 16:10:18 - mmengine - INFO - Epoch(train) [87][480/660] lr: 8.2659e-04 eta: 2:32:15 time: 1.0253 data_time: 0.0194 memory: 22681 loss: 1.7923 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7923 2022/10/30 16:10:39 - mmengine - INFO - Epoch(train) [87][500/660] lr: 8.2431e-04 eta: 2:31:54 time: 1.0437 data_time: 0.0247 memory: 22681 loss: 1.9006 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9006 2022/10/30 16:10:59 - mmengine - INFO - Epoch(train) [87][520/660] lr: 8.2204e-04 eta: 2:31:33 time: 1.0265 data_time: 0.0185 memory: 22681 loss: 1.8014 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8014 2022/10/30 16:11:20 - mmengine - INFO - Epoch(train) [87][540/660] lr: 8.1976e-04 eta: 2:31:12 time: 1.0319 data_time: 0.0193 memory: 22681 loss: 1.7347 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7347 2022/10/30 16:11:40 - mmengine - INFO - Epoch(train) [87][560/660] lr: 8.1750e-04 eta: 2:30:51 time: 1.0249 data_time: 0.0184 memory: 22681 loss: 1.8932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8932 2022/10/30 16:12:01 - mmengine - INFO - Epoch(train) [87][580/660] lr: 8.1523e-04 eta: 2:30:30 time: 1.0412 data_time: 0.0238 memory: 22681 loss: 1.9647 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9647 2022/10/30 16:12:22 - mmengine - INFO - Epoch(train) [87][600/660] lr: 8.1297e-04 eta: 2:30:10 time: 1.0281 data_time: 0.0196 memory: 22681 loss: 1.9877 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9877 2022/10/30 16:12:42 - mmengine - INFO - Epoch(train) [87][620/660] lr: 8.1071e-04 eta: 2:29:49 time: 1.0331 data_time: 0.0192 memory: 22681 loss: 1.6784 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6784 2022/10/30 16:13:03 - mmengine - INFO - Epoch(train) [87][640/660] lr: 8.0846e-04 eta: 2:29:28 time: 1.0291 data_time: 0.0190 memory: 22681 loss: 1.8783 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8783 2022/10/30 16:13:23 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 16:13:23 - mmengine - INFO - Epoch(train) [87][660/660] lr: 8.0621e-04 eta: 2:29:07 time: 1.0177 data_time: 0.0193 memory: 22681 loss: 1.7722 top1_acc: 0.6429 top5_acc: 0.9286 loss_cls: 1.7722 2022/10/30 16:13:23 - mmengine - INFO - Saving checkpoint at 87 epochs 2022/10/30 16:13:27 - mmengine - INFO - Epoch(val) [87][20/194] eta: 0:00:22 time: 0.1268 data_time: 0.0248 memory: 2517 2022/10/30 16:13:29 - mmengine - INFO - Epoch(val) [87][40/194] eta: 0:00:16 time: 0.1089 data_time: 0.0077 memory: 2517 2022/10/30 16:13:31 - mmengine - INFO - Epoch(val) [87][60/194] eta: 0:00:14 time: 0.1080 data_time: 0.0073 memory: 2517 2022/10/30 16:13:33 - mmengine - INFO - Epoch(val) [87][80/194] eta: 0:00:12 time: 0.1086 data_time: 0.0073 memory: 2517 2022/10/30 16:13:36 - mmengine - INFO - Epoch(val) [87][100/194] eta: 0:00:10 time: 0.1096 data_time: 0.0074 memory: 2517 2022/10/30 16:13:38 - mmengine - INFO - Epoch(val) [87][120/194] eta: 0:00:08 time: 0.1090 data_time: 0.0076 memory: 2517 2022/10/30 16:13:40 - mmengine - INFO - Epoch(val) [87][140/194] eta: 0:00:05 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 16:13:42 - mmengine - INFO - Epoch(val) [87][160/194] eta: 0:00:03 time: 0.1087 data_time: 0.0073 memory: 2517 2022/10/30 16:13:44 - mmengine - INFO - Epoch(val) [87][180/194] eta: 0:00:01 time: 0.1080 data_time: 0.0072 memory: 2517 2022/10/30 16:13:47 - mmengine - INFO - Epoch(val) [87][194/194] acc/top1: 0.6675 acc/top5: 0.9083 acc/mean1: 0.6035 2022/10/30 16:14:16 - mmengine - INFO - Epoch(train) [88][20/660] lr: 8.0396e-04 eta: 2:28:47 time: 1.4658 data_time: 0.2604 memory: 22681 loss: 1.8612 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8612 2022/10/30 16:14:36 - mmengine - INFO - Epoch(train) [88][40/660] lr: 8.0172e-04 eta: 2:28:26 time: 1.0298 data_time: 0.0201 memory: 22681 loss: 1.8712 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8712 2022/10/30 16:14:57 - mmengine - INFO - Epoch(train) [88][60/660] lr: 7.9948e-04 eta: 2:28:05 time: 1.0292 data_time: 0.0185 memory: 22681 loss: 1.7532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7532 2022/10/30 16:15:18 - mmengine - INFO - Epoch(train) [88][80/660] lr: 7.9725e-04 eta: 2:27:45 time: 1.0266 data_time: 0.0187 memory: 22681 loss: 1.9191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9191 2022/10/30 16:15:38 - mmengine - INFO - Epoch(train) [88][100/660] lr: 7.9502e-04 eta: 2:27:24 time: 1.0401 data_time: 0.0249 memory: 22681 loss: 1.8452 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8452 2022/10/30 16:15:59 - mmengine - INFO - Epoch(train) [88][120/660] lr: 7.9279e-04 eta: 2:27:03 time: 1.0353 data_time: 0.0203 memory: 22681 loss: 1.9127 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9127 2022/10/30 16:16:20 - mmengine - INFO - Epoch(train) [88][140/660] lr: 7.9057e-04 eta: 2:26:42 time: 1.0264 data_time: 0.0186 memory: 22681 loss: 1.9009 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9009 2022/10/30 16:16:40 - mmengine - INFO - Epoch(train) [88][160/660] lr: 7.8835e-04 eta: 2:26:21 time: 1.0287 data_time: 0.0182 memory: 22681 loss: 1.8802 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8802 2022/10/30 16:17:01 - mmengine - INFO - Epoch(train) [88][180/660] lr: 7.8614e-04 eta: 2:26:00 time: 1.0447 data_time: 0.0237 memory: 22681 loss: 1.7735 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7735 2022/10/30 16:17:22 - mmengine - INFO - Epoch(train) [88][200/660] lr: 7.8393e-04 eta: 2:25:39 time: 1.0435 data_time: 0.0192 memory: 22681 loss: 1.7750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7750 2022/10/30 16:17:43 - mmengine - INFO - Epoch(train) [88][220/660] lr: 7.8172e-04 eta: 2:25:18 time: 1.0310 data_time: 0.0176 memory: 22681 loss: 1.7429 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7429 2022/10/30 16:18:03 - mmengine - INFO - Epoch(train) [88][240/660] lr: 7.7952e-04 eta: 2:24:58 time: 1.0313 data_time: 0.0188 memory: 22681 loss: 1.8090 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8090 2022/10/30 16:18:24 - mmengine - INFO - Epoch(train) [88][260/660] lr: 7.7732e-04 eta: 2:24:37 time: 1.0427 data_time: 0.0224 memory: 22681 loss: 1.8729 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8729 2022/10/30 16:18:45 - mmengine - INFO - Epoch(train) [88][280/660] lr: 7.7513e-04 eta: 2:24:16 time: 1.0395 data_time: 0.0174 memory: 22681 loss: 1.8440 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8440 2022/10/30 16:19:05 - mmengine - INFO - Epoch(train) [88][300/660] lr: 7.7294e-04 eta: 2:23:55 time: 1.0295 data_time: 0.0187 memory: 22681 loss: 1.8538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8538 2022/10/30 16:19:26 - mmengine - INFO - Epoch(train) [88][320/660] lr: 7.7075e-04 eta: 2:23:34 time: 1.0267 data_time: 0.0180 memory: 22681 loss: 1.9074 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9074 2022/10/30 16:19:47 - mmengine - INFO - Epoch(train) [88][340/660] lr: 7.6857e-04 eta: 2:23:13 time: 1.0432 data_time: 0.0233 memory: 22681 loss: 1.7839 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7839 2022/10/30 16:20:08 - mmengine - INFO - Epoch(train) [88][360/660] lr: 7.6639e-04 eta: 2:22:52 time: 1.0380 data_time: 0.0190 memory: 22681 loss: 1.9207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9207 2022/10/30 16:20:28 - mmengine - INFO - Epoch(train) [88][380/660] lr: 7.6421e-04 eta: 2:22:31 time: 1.0312 data_time: 0.0174 memory: 22681 loss: 1.8553 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8553 2022/10/30 16:20:49 - mmengine - INFO - Epoch(train) [88][400/660] lr: 7.6204e-04 eta: 2:22:10 time: 1.0352 data_time: 0.0174 memory: 22681 loss: 1.8072 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8072 2022/10/30 16:21:10 - mmengine - INFO - Epoch(train) [88][420/660] lr: 7.5987e-04 eta: 2:21:50 time: 1.0447 data_time: 0.0224 memory: 22681 loss: 1.9895 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9895 2022/10/30 16:21:31 - mmengine - INFO - Epoch(train) [88][440/660] lr: 7.5771e-04 eta: 2:21:29 time: 1.0379 data_time: 0.0173 memory: 22681 loss: 1.7712 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7712 2022/10/30 16:21:51 - mmengine - INFO - Epoch(train) [88][460/660] lr: 7.5555e-04 eta: 2:21:08 time: 1.0295 data_time: 0.0174 memory: 22681 loss: 1.7339 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7339 2022/10/30 16:22:12 - mmengine - INFO - Epoch(train) [88][480/660] lr: 7.5340e-04 eta: 2:20:47 time: 1.0331 data_time: 0.0200 memory: 22681 loss: 1.9324 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9324 2022/10/30 16:22:33 - mmengine - INFO - Epoch(train) [88][500/660] lr: 7.5124e-04 eta: 2:20:26 time: 1.0408 data_time: 0.0223 memory: 22681 loss: 1.7847 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7847 2022/10/30 16:22:53 - mmengine - INFO - Epoch(train) [88][520/660] lr: 7.4910e-04 eta: 2:20:05 time: 1.0361 data_time: 0.0169 memory: 22681 loss: 1.8258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8258 2022/10/30 16:23:14 - mmengine - INFO - Epoch(train) [88][540/660] lr: 7.4695e-04 eta: 2:19:44 time: 1.0256 data_time: 0.0167 memory: 22681 loss: 1.9250 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9250 2022/10/30 16:23:35 - mmengine - INFO - Epoch(train) [88][560/660] lr: 7.4481e-04 eta: 2:19:23 time: 1.0291 data_time: 0.0176 memory: 22681 loss: 1.8097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8097 2022/10/30 16:23:55 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 16:23:55 - mmengine - INFO - Epoch(train) [88][580/660] lr: 7.4268e-04 eta: 2:19:03 time: 1.0428 data_time: 0.0216 memory: 22681 loss: 1.7919 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7919 2022/10/30 16:24:16 - mmengine - INFO - Epoch(train) [88][600/660] lr: 7.4055e-04 eta: 2:18:42 time: 1.0390 data_time: 0.0192 memory: 22681 loss: 1.6826 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6826 2022/10/30 16:24:37 - mmengine - INFO - Epoch(train) [88][620/660] lr: 7.3842e-04 eta: 2:18:21 time: 1.0280 data_time: 0.0187 memory: 22681 loss: 1.8058 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8058 2022/10/30 16:24:57 - mmengine - INFO - Epoch(train) [88][640/660] lr: 7.3629e-04 eta: 2:18:00 time: 1.0266 data_time: 0.0185 memory: 22681 loss: 1.8401 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8401 2022/10/30 16:25:18 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 16:25:18 - mmengine - INFO - Epoch(train) [88][660/660] lr: 7.3417e-04 eta: 2:17:39 time: 1.0181 data_time: 0.0174 memory: 22681 loss: 1.9567 top1_acc: 0.6429 top5_acc: 0.8571 loss_cls: 1.9567 2022/10/30 16:25:20 - mmengine - INFO - Epoch(val) [88][20/194] eta: 0:00:23 time: 0.1373 data_time: 0.0340 memory: 2517 2022/10/30 16:25:23 - mmengine - INFO - Epoch(val) [88][40/194] eta: 0:00:16 time: 0.1103 data_time: 0.0079 memory: 2517 2022/10/30 16:25:25 - mmengine - INFO - Epoch(val) [88][60/194] eta: 0:00:14 time: 0.1111 data_time: 0.0080 memory: 2517 2022/10/30 16:25:27 - mmengine - INFO - Epoch(val) [88][80/194] eta: 0:00:12 time: 0.1093 data_time: 0.0078 memory: 2517 2022/10/30 16:25:29 - mmengine - INFO - Epoch(val) [88][100/194] eta: 0:00:10 time: 0.1090 data_time: 0.0078 memory: 2517 2022/10/30 16:25:31 - mmengine - INFO - Epoch(val) [88][120/194] eta: 0:00:08 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 16:25:34 - mmengine - INFO - Epoch(val) [88][140/194] eta: 0:00:05 time: 0.1103 data_time: 0.0084 memory: 2517 2022/10/30 16:25:36 - mmengine - INFO - Epoch(val) [88][160/194] eta: 0:00:03 time: 0.1095 data_time: 0.0082 memory: 2517 2022/10/30 16:25:38 - mmengine - INFO - Epoch(val) [88][180/194] eta: 0:00:01 time: 0.1084 data_time: 0.0077 memory: 2517 2022/10/30 16:25:43 - mmengine - INFO - Epoch(val) [88][194/194] acc/top1: 0.6676 acc/top5: 0.9082 acc/mean1: 0.6071 2022/10/30 16:26:13 - mmengine - INFO - Epoch(train) [89][20/660] lr: 7.3206e-04 eta: 2:17:19 time: 1.4786 data_time: 0.2888 memory: 22681 loss: 1.8390 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8390 2022/10/30 16:26:34 - mmengine - INFO - Epoch(train) [89][40/660] lr: 7.2995e-04 eta: 2:16:58 time: 1.0242 data_time: 0.0190 memory: 22681 loss: 1.7329 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7329 2022/10/30 16:26:54 - mmengine - INFO - Epoch(train) [89][60/660] lr: 7.2784e-04 eta: 2:16:37 time: 1.0190 data_time: 0.0196 memory: 22681 loss: 1.8308 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8308 2022/10/30 16:27:14 - mmengine - INFO - Epoch(train) [89][80/660] lr: 7.2573e-04 eta: 2:16:17 time: 1.0189 data_time: 0.0212 memory: 22681 loss: 1.9495 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9495 2022/10/30 16:27:35 - mmengine - INFO - Epoch(train) [89][100/660] lr: 7.2363e-04 eta: 2:15:56 time: 1.0322 data_time: 0.0251 memory: 22681 loss: 1.8438 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8438 2022/10/30 16:27:55 - mmengine - INFO - Epoch(train) [89][120/660] lr: 7.2154e-04 eta: 2:15:35 time: 1.0279 data_time: 0.0204 memory: 22681 loss: 1.9398 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9398 2022/10/30 16:28:16 - mmengine - INFO - Epoch(train) [89][140/660] lr: 7.1945e-04 eta: 2:15:14 time: 1.0207 data_time: 0.0199 memory: 22681 loss: 1.8792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8792 2022/10/30 16:28:36 - mmengine - INFO - Epoch(train) [89][160/660] lr: 7.1736e-04 eta: 2:14:53 time: 1.0190 data_time: 0.0211 memory: 22681 loss: 1.9700 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9700 2022/10/30 16:28:57 - mmengine - INFO - Epoch(train) [89][180/660] lr: 7.1527e-04 eta: 2:14:32 time: 1.0334 data_time: 0.0267 memory: 22681 loss: 1.8970 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8970 2022/10/30 16:29:18 - mmengine - INFO - Epoch(train) [89][200/660] lr: 7.1319e-04 eta: 2:14:11 time: 1.0285 data_time: 0.0196 memory: 22681 loss: 1.7976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7976 2022/10/30 16:29:38 - mmengine - INFO - Epoch(train) [89][220/660] lr: 7.1112e-04 eta: 2:13:50 time: 1.0214 data_time: 0.0199 memory: 22681 loss: 1.8348 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8348 2022/10/30 16:29:58 - mmengine - INFO - Epoch(train) [89][240/660] lr: 7.0904e-04 eta: 2:13:29 time: 1.0223 data_time: 0.0218 memory: 22681 loss: 1.7275 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7275 2022/10/30 16:30:19 - mmengine - INFO - Epoch(train) [89][260/660] lr: 7.0698e-04 eta: 2:13:08 time: 1.0403 data_time: 0.0249 memory: 22681 loss: 1.9948 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9948 2022/10/30 16:30:40 - mmengine - INFO - Epoch(train) [89][280/660] lr: 7.0491e-04 eta: 2:12:48 time: 1.0294 data_time: 0.0197 memory: 22681 loss: 1.8695 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8695 2022/10/30 16:31:00 - mmengine - INFO - Epoch(train) [89][300/660] lr: 7.0285e-04 eta: 2:12:27 time: 1.0206 data_time: 0.0203 memory: 22681 loss: 1.8135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8135 2022/10/30 16:31:21 - mmengine - INFO - Epoch(train) [89][320/660] lr: 7.0079e-04 eta: 2:12:06 time: 1.0234 data_time: 0.0195 memory: 22681 loss: 1.6923 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6923 2022/10/30 16:31:41 - mmengine - INFO - Epoch(train) [89][340/660] lr: 6.9874e-04 eta: 2:11:45 time: 1.0316 data_time: 0.0249 memory: 22681 loss: 1.7401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7401 2022/10/30 16:32:02 - mmengine - INFO - Epoch(train) [89][360/660] lr: 6.9669e-04 eta: 2:11:24 time: 1.0283 data_time: 0.0210 memory: 22681 loss: 1.7689 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7689 2022/10/30 16:32:22 - mmengine - INFO - Epoch(train) [89][380/660] lr: 6.9465e-04 eta: 2:11:03 time: 1.0246 data_time: 0.0240 memory: 22681 loss: 2.0357 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0357 2022/10/30 16:32:43 - mmengine - INFO - Epoch(train) [89][400/660] lr: 6.9261e-04 eta: 2:10:42 time: 1.0213 data_time: 0.0201 memory: 22681 loss: 1.8641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8641 2022/10/30 16:33:03 - mmengine - INFO - Epoch(train) [89][420/660] lr: 6.9057e-04 eta: 2:10:21 time: 1.0332 data_time: 0.0252 memory: 22681 loss: 1.9491 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9491 2022/10/30 16:33:24 - mmengine - INFO - Epoch(train) [89][440/660] lr: 6.8854e-04 eta: 2:10:00 time: 1.0265 data_time: 0.0191 memory: 22681 loss: 1.6928 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6928 2022/10/30 16:33:44 - mmengine - INFO - Epoch(train) [89][460/660] lr: 6.8651e-04 eta: 2:09:39 time: 1.0227 data_time: 0.0202 memory: 22681 loss: 1.9191 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9191 2022/10/30 16:34:05 - mmengine - INFO - Epoch(train) [89][480/660] lr: 6.8449e-04 eta: 2:09:19 time: 1.0209 data_time: 0.0200 memory: 22681 loss: 1.9156 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9156 2022/10/30 16:34:25 - mmengine - INFO - Epoch(train) [89][500/660] lr: 6.8247e-04 eta: 2:08:58 time: 1.0304 data_time: 0.0264 memory: 22681 loss: 1.7473 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7473 2022/10/30 16:34:46 - mmengine - INFO - Epoch(train) [89][520/660] lr: 6.8045e-04 eta: 2:08:37 time: 1.0256 data_time: 0.0199 memory: 22681 loss: 1.7802 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7802 2022/10/30 16:35:06 - mmengine - INFO - Epoch(train) [89][540/660] lr: 6.7844e-04 eta: 2:08:16 time: 1.0242 data_time: 0.0200 memory: 22681 loss: 1.8898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8898 2022/10/30 16:35:27 - mmengine - INFO - Epoch(train) [89][560/660] lr: 6.7643e-04 eta: 2:07:55 time: 1.0193 data_time: 0.0197 memory: 22681 loss: 1.8418 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8418 2022/10/30 16:35:47 - mmengine - INFO - Epoch(train) [89][580/660] lr: 6.7442e-04 eta: 2:07:34 time: 1.0313 data_time: 0.0239 memory: 22681 loss: 1.8572 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8572 2022/10/30 16:36:08 - mmengine - INFO - Epoch(train) [89][600/660] lr: 6.7242e-04 eta: 2:07:13 time: 1.0279 data_time: 0.0181 memory: 22681 loss: 1.8194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8194 2022/10/30 16:36:29 - mmengine - INFO - Epoch(train) [89][620/660] lr: 6.7043e-04 eta: 2:06:52 time: 1.0244 data_time: 0.0192 memory: 22681 loss: 1.9225 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9225 2022/10/30 16:36:49 - mmengine - INFO - Epoch(train) [89][640/660] lr: 6.6844e-04 eta: 2:06:31 time: 1.0190 data_time: 0.0184 memory: 22681 loss: 1.8359 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8359 2022/10/30 16:37:09 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 16:37:09 - mmengine - INFO - Epoch(train) [89][660/660] lr: 6.6645e-04 eta: 2:06:10 time: 1.0113 data_time: 0.0209 memory: 22681 loss: 1.7777 top1_acc: 0.8571 top5_acc: 0.9286 loss_cls: 1.7777 2022/10/30 16:37:12 - mmengine - INFO - Epoch(val) [89][20/194] eta: 0:00:23 time: 0.1351 data_time: 0.0329 memory: 2517 2022/10/30 16:37:14 - mmengine - INFO - Epoch(val) [89][40/194] eta: 0:00:16 time: 0.1103 data_time: 0.0085 memory: 2517 2022/10/30 16:37:16 - mmengine - INFO - Epoch(val) [89][60/194] eta: 0:00:14 time: 0.1095 data_time: 0.0079 memory: 2517 2022/10/30 16:37:18 - mmengine - INFO - Epoch(val) [89][80/194] eta: 0:00:12 time: 0.1095 data_time: 0.0075 memory: 2517 2022/10/30 16:37:21 - mmengine - INFO - Epoch(val) [89][100/194] eta: 0:00:10 time: 0.1104 data_time: 0.0081 memory: 2517 2022/10/30 16:37:23 - mmengine - INFO - Epoch(val) [89][120/194] eta: 0:00:08 time: 0.1092 data_time: 0.0075 memory: 2517 2022/10/30 16:37:25 - mmengine - INFO - Epoch(val) [89][140/194] eta: 0:00:05 time: 0.1100 data_time: 0.0081 memory: 2517 2022/10/30 16:37:27 - mmengine - INFO - Epoch(val) [89][160/194] eta: 0:00:03 time: 0.1090 data_time: 0.0078 memory: 2517 2022/10/30 16:37:29 - mmengine - INFO - Epoch(val) [89][180/194] eta: 0:00:01 time: 0.1078 data_time: 0.0074 memory: 2517 2022/10/30 16:37:43 - mmengine - INFO - Epoch(val) [89][194/194] acc/top1: 0.6678 acc/top5: 0.9085 acc/mean1: 0.6063 2022/10/30 16:38:12 - mmengine - INFO - Epoch(train) [90][20/660] lr: 6.6446e-04 eta: 2:05:51 time: 1.4484 data_time: 0.2963 memory: 22681 loss: 1.8770 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8770 2022/10/30 16:38:33 - mmengine - INFO - Epoch(train) [90][40/660] lr: 6.6248e-04 eta: 2:05:30 time: 1.0215 data_time: 0.0202 memory: 22681 loss: 1.9891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9891 2022/10/30 16:38:53 - mmengine - INFO - Epoch(train) [90][60/660] lr: 6.6051e-04 eta: 2:05:09 time: 1.0192 data_time: 0.0196 memory: 22681 loss: 1.7520 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7520 2022/10/30 16:39:13 - mmengine - INFO - Epoch(train) [90][80/660] lr: 6.5853e-04 eta: 2:04:48 time: 1.0196 data_time: 0.0200 memory: 22681 loss: 1.7726 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7726 2022/10/30 16:39:34 - mmengine - INFO - Epoch(train) [90][100/660] lr: 6.5657e-04 eta: 2:04:27 time: 1.0418 data_time: 0.0242 memory: 22681 loss: 1.9677 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.9677 2022/10/30 16:39:55 - mmengine - INFO - Epoch(train) [90][120/660] lr: 6.5460e-04 eta: 2:04:06 time: 1.0240 data_time: 0.0203 memory: 22681 loss: 1.8571 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8571 2022/10/30 16:40:15 - mmengine - INFO - Epoch(train) [90][140/660] lr: 6.5264e-04 eta: 2:03:45 time: 1.0200 data_time: 0.0188 memory: 22681 loss: 1.9009 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9009 2022/10/30 16:40:36 - mmengine - INFO - Epoch(train) [90][160/660] lr: 6.5068e-04 eta: 2:03:24 time: 1.0215 data_time: 0.0190 memory: 22681 loss: 1.8334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8334 2022/10/30 16:40:56 - mmengine - INFO - Epoch(train) [90][180/660] lr: 6.4873e-04 eta: 2:03:03 time: 1.0409 data_time: 0.0201 memory: 22681 loss: 1.8576 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8576 2022/10/30 16:41:17 - mmengine - INFO - Epoch(train) [90][200/660] lr: 6.4678e-04 eta: 2:02:42 time: 1.0280 data_time: 0.0219 memory: 22681 loss: 1.8254 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8254 2022/10/30 16:41:38 - mmengine - INFO - Epoch(train) [90][220/660] lr: 6.4484e-04 eta: 2:02:22 time: 1.0268 data_time: 0.0186 memory: 22681 loss: 1.7754 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7754 2022/10/30 16:41:58 - mmengine - INFO - Epoch(train) [90][240/660] lr: 6.4290e-04 eta: 2:02:01 time: 1.0223 data_time: 0.0192 memory: 22681 loss: 1.9189 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9189 2022/10/30 16:42:19 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 16:42:19 - mmengine - INFO - Epoch(train) [90][260/660] lr: 6.4096e-04 eta: 2:01:40 time: 1.0385 data_time: 0.0198 memory: 22681 loss: 1.9187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9187 2022/10/30 16:42:39 - mmengine - INFO - Epoch(train) [90][280/660] lr: 6.3903e-04 eta: 2:01:19 time: 1.0294 data_time: 0.0240 memory: 22681 loss: 1.7468 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7468 2022/10/30 16:43:00 - mmengine - INFO - Epoch(train) [90][300/660] lr: 6.3710e-04 eta: 2:00:58 time: 1.0269 data_time: 0.0182 memory: 22681 loss: 1.7377 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7377 2022/10/30 16:43:20 - mmengine - INFO - Epoch(train) [90][320/660] lr: 6.3518e-04 eta: 2:00:37 time: 1.0296 data_time: 0.0185 memory: 22681 loss: 1.8567 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8567 2022/10/30 16:43:41 - mmengine - INFO - Epoch(train) [90][340/660] lr: 6.3326e-04 eta: 2:00:16 time: 1.0462 data_time: 0.0190 memory: 22681 loss: 1.7824 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7824 2022/10/30 16:44:02 - mmengine - INFO - Epoch(train) [90][360/660] lr: 6.3134e-04 eta: 1:59:55 time: 1.0353 data_time: 0.0225 memory: 22681 loss: 1.7724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7724 2022/10/30 16:44:23 - mmengine - INFO - Epoch(train) [90][380/660] lr: 6.2943e-04 eta: 1:59:34 time: 1.0252 data_time: 0.0177 memory: 22681 loss: 1.7582 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7582 2022/10/30 16:44:43 - mmengine - INFO - Epoch(train) [90][400/660] lr: 6.2753e-04 eta: 1:59:14 time: 1.0258 data_time: 0.0185 memory: 22681 loss: 1.7383 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7383 2022/10/30 16:45:04 - mmengine - INFO - Epoch(train) [90][420/660] lr: 6.2562e-04 eta: 1:58:53 time: 1.0448 data_time: 0.0193 memory: 22681 loss: 1.7764 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7764 2022/10/30 16:45:25 - mmengine - INFO - Epoch(train) [90][440/660] lr: 6.2372e-04 eta: 1:58:32 time: 1.0291 data_time: 0.0209 memory: 22681 loss: 1.8386 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8386 2022/10/30 16:45:45 - mmengine - INFO - Epoch(train) [90][460/660] lr: 6.2183e-04 eta: 1:58:11 time: 1.0235 data_time: 0.0183 memory: 22681 loss: 1.8124 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8124 2022/10/30 16:46:06 - mmengine - INFO - Epoch(train) [90][480/660] lr: 6.1994e-04 eta: 1:57:50 time: 1.0273 data_time: 0.0186 memory: 22681 loss: 1.7824 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7824 2022/10/30 16:46:26 - mmengine - INFO - Epoch(train) [90][500/660] lr: 6.1805e-04 eta: 1:57:29 time: 1.0420 data_time: 0.0185 memory: 22681 loss: 1.8408 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8408 2022/10/30 16:46:47 - mmengine - INFO - Epoch(train) [90][520/660] lr: 6.1616e-04 eta: 1:57:08 time: 1.0329 data_time: 0.0218 memory: 22681 loss: 1.7031 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7031 2022/10/30 16:47:08 - mmengine - INFO - Epoch(train) [90][540/660] lr: 6.1429e-04 eta: 1:56:47 time: 1.0260 data_time: 0.0200 memory: 22681 loss: 1.8095 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8095 2022/10/30 16:47:28 - mmengine - INFO - Epoch(train) [90][560/660] lr: 6.1241e-04 eta: 1:56:26 time: 1.0281 data_time: 0.0190 memory: 22681 loss: 1.8742 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8742 2022/10/30 16:47:49 - mmengine - INFO - Epoch(train) [90][580/660] lr: 6.1054e-04 eta: 1:56:06 time: 1.0446 data_time: 0.0186 memory: 22681 loss: 1.7964 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7964 2022/10/30 16:48:10 - mmengine - INFO - Epoch(train) [90][600/660] lr: 6.0867e-04 eta: 1:55:45 time: 1.0345 data_time: 0.0264 memory: 22681 loss: 1.7779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7779 2022/10/30 16:48:30 - mmengine - INFO - Epoch(train) [90][620/660] lr: 6.0681e-04 eta: 1:55:24 time: 1.0265 data_time: 0.0189 memory: 22681 loss: 1.7371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7371 2022/10/30 16:48:51 - mmengine - INFO - Epoch(train) [90][640/660] lr: 6.0495e-04 eta: 1:55:03 time: 1.0224 data_time: 0.0197 memory: 22681 loss: 1.8905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8905 2022/10/30 16:49:11 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 16:49:11 - mmengine - INFO - Epoch(train) [90][660/660] lr: 6.0309e-04 eta: 1:54:42 time: 1.0153 data_time: 0.0212 memory: 22681 loss: 1.8399 top1_acc: 0.6429 top5_acc: 0.8571 loss_cls: 1.8399 2022/10/30 16:49:11 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/10/30 16:49:15 - mmengine - INFO - Epoch(val) [90][20/194] eta: 0:00:22 time: 0.1284 data_time: 0.0263 memory: 2517 2022/10/30 16:49:17 - mmengine - INFO - Epoch(val) [90][40/194] eta: 0:00:17 time: 0.1110 data_time: 0.0086 memory: 2517 2022/10/30 16:49:19 - mmengine - INFO - Epoch(val) [90][60/194] eta: 0:00:14 time: 0.1109 data_time: 0.0085 memory: 2517 2022/10/30 16:49:22 - mmengine - INFO - Epoch(val) [90][80/194] eta: 0:00:12 time: 0.1095 data_time: 0.0081 memory: 2517 2022/10/30 16:49:24 - mmengine - INFO - Epoch(val) [90][100/194] eta: 0:00:10 time: 0.1087 data_time: 0.0077 memory: 2517 2022/10/30 16:49:26 - mmengine - INFO - Epoch(val) [90][120/194] eta: 0:00:07 time: 0.1080 data_time: 0.0072 memory: 2517 2022/10/30 16:49:28 - mmengine - INFO - Epoch(val) [90][140/194] eta: 0:00:05 time: 0.1080 data_time: 0.0073 memory: 2517 2022/10/30 16:49:30 - mmengine - INFO - Epoch(val) [90][160/194] eta: 0:00:03 time: 0.1079 data_time: 0.0072 memory: 2517 2022/10/30 16:49:32 - mmengine - INFO - Epoch(val) [90][180/194] eta: 0:00:01 time: 0.1073 data_time: 0.0070 memory: 2517 2022/10/30 16:49:37 - mmengine - INFO - Epoch(val) [90][194/194] acc/top1: 0.6691 acc/top5: 0.9092 acc/mean1: 0.6066 2022/10/30 16:49:37 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_86.pth is removed 2022/10/30 16:49:39 - mmengine - INFO - The best checkpoint with 0.6691 acc/top1 at 90 epoch is saved to best_acc/top1_epoch_90.pth. 2022/10/30 16:50:07 - mmengine - INFO - Epoch(train) [91][20/660] lr: 6.0124e-04 eta: 1:54:22 time: 1.3919 data_time: 0.2861 memory: 22681 loss: 1.8401 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8401 2022/10/30 16:50:27 - mmengine - INFO - Epoch(train) [91][40/660] lr: 5.9940e-04 eta: 1:54:01 time: 1.0194 data_time: 0.0185 memory: 22681 loss: 1.9134 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9134 2022/10/30 16:50:48 - mmengine - INFO - Epoch(train) [91][60/660] lr: 5.9755e-04 eta: 1:53:40 time: 1.0192 data_time: 0.0194 memory: 22681 loss: 1.8020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8020 2022/10/30 16:51:08 - mmengine - INFO - Epoch(train) [91][80/660] lr: 5.9572e-04 eta: 1:53:19 time: 1.0215 data_time: 0.0190 memory: 22681 loss: 1.8236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8236 2022/10/30 16:51:29 - mmengine - INFO - Epoch(train) [91][100/660] lr: 5.9388e-04 eta: 1:52:58 time: 1.0295 data_time: 0.0243 memory: 22681 loss: 1.8587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8587 2022/10/30 16:51:49 - mmengine - INFO - Epoch(train) [91][120/660] lr: 5.9205e-04 eta: 1:52:37 time: 1.0204 data_time: 0.0185 memory: 22681 loss: 1.7997 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7997 2022/10/30 16:52:09 - mmengine - INFO - Epoch(train) [91][140/660] lr: 5.9023e-04 eta: 1:52:17 time: 1.0186 data_time: 0.0241 memory: 22681 loss: 1.7895 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7895 2022/10/30 16:52:30 - mmengine - INFO - Epoch(train) [91][160/660] lr: 5.8840e-04 eta: 1:51:56 time: 1.0173 data_time: 0.0198 memory: 22681 loss: 1.6878 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6878 2022/10/30 16:52:50 - mmengine - INFO - Epoch(train) [91][180/660] lr: 5.8658e-04 eta: 1:51:35 time: 1.0345 data_time: 0.0256 memory: 22681 loss: 1.8879 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8879 2022/10/30 16:53:11 - mmengine - INFO - Epoch(train) [91][200/660] lr: 5.8477e-04 eta: 1:51:14 time: 1.0282 data_time: 0.0196 memory: 22681 loss: 1.8035 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8035 2022/10/30 16:53:31 - mmengine - INFO - Epoch(train) [91][220/660] lr: 5.8296e-04 eta: 1:50:53 time: 1.0229 data_time: 0.0191 memory: 22681 loss: 1.7817 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7817 2022/10/30 16:53:52 - mmengine - INFO - Epoch(train) [91][240/660] lr: 5.8116e-04 eta: 1:50:32 time: 1.0256 data_time: 0.0191 memory: 22681 loss: 1.8176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8176 2022/10/30 16:54:13 - mmengine - INFO - Epoch(train) [91][260/660] lr: 5.7935e-04 eta: 1:50:11 time: 1.0331 data_time: 0.0240 memory: 22681 loss: 1.8222 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8222 2022/10/30 16:54:33 - mmengine - INFO - Epoch(train) [91][280/660] lr: 5.7756e-04 eta: 1:49:50 time: 1.0251 data_time: 0.0202 memory: 22681 loss: 1.8607 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8607 2022/10/30 16:54:54 - mmengine - INFO - Epoch(train) [91][300/660] lr: 5.7576e-04 eta: 1:49:29 time: 1.0219 data_time: 0.0216 memory: 22681 loss: 1.7901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7901 2022/10/30 16:55:14 - mmengine - INFO - Epoch(train) [91][320/660] lr: 5.7397e-04 eta: 1:49:08 time: 1.0215 data_time: 0.0192 memory: 22681 loss: 1.8226 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8226 2022/10/30 16:55:35 - mmengine - INFO - Epoch(train) [91][340/660] lr: 5.7219e-04 eta: 1:48:48 time: 1.0406 data_time: 0.0238 memory: 22681 loss: 1.9224 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9224 2022/10/30 16:55:55 - mmengine - INFO - Epoch(train) [91][360/660] lr: 5.7041e-04 eta: 1:48:27 time: 1.0234 data_time: 0.0200 memory: 22681 loss: 1.7886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7886 2022/10/30 16:56:16 - mmengine - INFO - Epoch(train) [91][380/660] lr: 5.6863e-04 eta: 1:48:06 time: 1.0201 data_time: 0.0197 memory: 22681 loss: 1.9090 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9090 2022/10/30 16:56:36 - mmengine - INFO - Epoch(train) [91][400/660] lr: 5.6686e-04 eta: 1:47:45 time: 1.0223 data_time: 0.0205 memory: 22681 loss: 1.7550 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7550 2022/10/30 16:56:57 - mmengine - INFO - Epoch(train) [91][420/660] lr: 5.6509e-04 eta: 1:47:24 time: 1.0396 data_time: 0.0249 memory: 22681 loss: 1.8196 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8196 2022/10/30 16:57:17 - mmengine - INFO - Epoch(train) [91][440/660] lr: 5.6332e-04 eta: 1:47:03 time: 1.0215 data_time: 0.0213 memory: 22681 loss: 1.8771 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8771 2022/10/30 16:57:38 - mmengine - INFO - Epoch(train) [91][460/660] lr: 5.6156e-04 eta: 1:46:42 time: 1.0219 data_time: 0.0205 memory: 22681 loss: 1.9940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9940 2022/10/30 16:57:58 - mmengine - INFO - Epoch(train) [91][480/660] lr: 5.5980e-04 eta: 1:46:21 time: 1.0221 data_time: 0.0200 memory: 22681 loss: 1.8972 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8972 2022/10/30 16:58:19 - mmengine - INFO - Epoch(train) [91][500/660] lr: 5.5805e-04 eta: 1:46:00 time: 1.0343 data_time: 0.0252 memory: 22681 loss: 1.8799 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8799 2022/10/30 16:58:39 - mmengine - INFO - Epoch(train) [91][520/660] lr: 5.5630e-04 eta: 1:45:40 time: 1.0211 data_time: 0.0211 memory: 22681 loss: 1.8355 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8355 2022/10/30 16:59:00 - mmengine - INFO - Epoch(train) [91][540/660] lr: 5.5456e-04 eta: 1:45:19 time: 1.0260 data_time: 0.0203 memory: 22681 loss: 1.9545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9545 2022/10/30 16:59:20 - mmengine - INFO - Epoch(train) [91][560/660] lr: 5.5282e-04 eta: 1:44:58 time: 1.0237 data_time: 0.0197 memory: 22681 loss: 1.8893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8893 2022/10/30 16:59:41 - mmengine - INFO - Epoch(train) [91][580/660] lr: 5.5108e-04 eta: 1:44:37 time: 1.0379 data_time: 0.0253 memory: 22681 loss: 1.8315 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8315 2022/10/30 17:00:02 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 17:00:02 - mmengine - INFO - Epoch(train) [91][600/660] lr: 5.4935e-04 eta: 1:44:16 time: 1.0208 data_time: 0.0213 memory: 22681 loss: 1.8836 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8836 2022/10/30 17:00:22 - mmengine - INFO - Epoch(train) [91][620/660] lr: 5.4762e-04 eta: 1:43:55 time: 1.0242 data_time: 0.0204 memory: 22681 loss: 1.7482 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7482 2022/10/30 17:00:42 - mmengine - INFO - Epoch(train) [91][640/660] lr: 5.4590e-04 eta: 1:43:34 time: 1.0164 data_time: 0.0207 memory: 22681 loss: 1.8555 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8555 2022/10/30 17:01:03 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 17:01:03 - mmengine - INFO - Epoch(train) [91][660/660] lr: 5.4418e-04 eta: 1:43:13 time: 1.0102 data_time: 0.0221 memory: 22681 loss: 1.8541 top1_acc: 0.7857 top5_acc: 1.0000 loss_cls: 1.8541 2022/10/30 17:01:05 - mmengine - INFO - Epoch(val) [91][20/194] eta: 0:00:23 time: 0.1342 data_time: 0.0328 memory: 2517 2022/10/30 17:01:07 - mmengine - INFO - Epoch(val) [91][40/194] eta: 0:00:16 time: 0.1086 data_time: 0.0074 memory: 2517 2022/10/30 17:01:10 - mmengine - INFO - Epoch(val) [91][60/194] eta: 0:00:14 time: 0.1086 data_time: 0.0076 memory: 2517 2022/10/30 17:01:12 - mmengine - INFO - Epoch(val) [91][80/194] eta: 0:00:12 time: 0.1085 data_time: 0.0073 memory: 2517 2022/10/30 17:01:14 - mmengine - INFO - Epoch(val) [91][100/194] eta: 0:00:10 time: 0.1082 data_time: 0.0073 memory: 2517 2022/10/30 17:01:16 - mmengine - INFO - Epoch(val) [91][120/194] eta: 0:00:08 time: 0.1085 data_time: 0.0073 memory: 2517 2022/10/30 17:01:18 - mmengine - INFO - Epoch(val) [91][140/194] eta: 0:00:05 time: 0.1092 data_time: 0.0076 memory: 2517 2022/10/30 17:01:21 - mmengine - INFO - Epoch(val) [91][160/194] eta: 0:00:03 time: 0.1083 data_time: 0.0074 memory: 2517 2022/10/30 17:01:23 - mmengine - INFO - Epoch(val) [91][180/194] eta: 0:00:01 time: 0.1086 data_time: 0.0074 memory: 2517 2022/10/30 17:01:26 - mmengine - INFO - Epoch(val) [91][194/194] acc/top1: 0.6682 acc/top5: 0.9086 acc/mean1: 0.6066 2022/10/30 17:01:55 - mmengine - INFO - Epoch(train) [92][20/660] lr: 5.4247e-04 eta: 1:42:53 time: 1.4783 data_time: 0.1636 memory: 22681 loss: 1.8368 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8368 2022/10/30 17:02:16 - mmengine - INFO - Epoch(train) [92][40/660] lr: 5.4075e-04 eta: 1:42:32 time: 1.0197 data_time: 0.0185 memory: 22681 loss: 1.8250 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8250 2022/10/30 17:02:36 - mmengine - INFO - Epoch(train) [92][60/660] lr: 5.3905e-04 eta: 1:42:12 time: 1.0223 data_time: 0.0217 memory: 22681 loss: 1.8576 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8576 2022/10/30 17:02:57 - mmengine - INFO - Epoch(train) [92][80/660] lr: 5.3734e-04 eta: 1:41:51 time: 1.0225 data_time: 0.0204 memory: 22681 loss: 1.8139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8139 2022/10/30 17:03:17 - mmengine - INFO - Epoch(train) [92][100/660] lr: 5.3565e-04 eta: 1:41:30 time: 1.0368 data_time: 0.0253 memory: 22681 loss: 1.8031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8031 2022/10/30 17:03:38 - mmengine - INFO - Epoch(train) [92][120/660] lr: 5.3395e-04 eta: 1:41:09 time: 1.0284 data_time: 0.0198 memory: 22681 loss: 1.9133 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9133 2022/10/30 17:03:59 - mmengine - INFO - Epoch(train) [92][140/660] lr: 5.3226e-04 eta: 1:40:48 time: 1.0313 data_time: 0.0223 memory: 22681 loss: 1.7513 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7513 2022/10/30 17:04:19 - mmengine - INFO - Epoch(train) [92][160/660] lr: 5.3057e-04 eta: 1:40:27 time: 1.0243 data_time: 0.0194 memory: 22681 loss: 1.9501 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9501 2022/10/30 17:04:40 - mmengine - INFO - Epoch(train) [92][180/660] lr: 5.2889e-04 eta: 1:40:06 time: 1.0375 data_time: 0.0248 memory: 22681 loss: 1.7199 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7199 2022/10/30 17:05:01 - mmengine - INFO - Epoch(train) [92][200/660] lr: 5.2721e-04 eta: 1:39:45 time: 1.0315 data_time: 0.0197 memory: 22681 loss: 1.7549 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7549 2022/10/30 17:05:21 - mmengine - INFO - Epoch(train) [92][220/660] lr: 5.2554e-04 eta: 1:39:24 time: 1.0295 data_time: 0.0206 memory: 22681 loss: 1.9011 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9011 2022/10/30 17:05:42 - mmengine - INFO - Epoch(train) [92][240/660] lr: 5.2387e-04 eta: 1:39:04 time: 1.0278 data_time: 0.0193 memory: 22681 loss: 1.9246 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9246 2022/10/30 17:06:03 - mmengine - INFO - Epoch(train) [92][260/660] lr: 5.2220e-04 eta: 1:38:43 time: 1.0416 data_time: 0.0236 memory: 22681 loss: 1.9210 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9210 2022/10/30 17:06:23 - mmengine - INFO - Epoch(train) [92][280/660] lr: 5.2054e-04 eta: 1:38:22 time: 1.0319 data_time: 0.0207 memory: 22681 loss: 1.7190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7190 2022/10/30 17:06:44 - mmengine - INFO - Epoch(train) [92][300/660] lr: 5.1889e-04 eta: 1:38:01 time: 1.0343 data_time: 0.0193 memory: 22681 loss: 1.8381 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8381 2022/10/30 17:07:05 - mmengine - INFO - Epoch(train) [92][320/660] lr: 5.1723e-04 eta: 1:37:40 time: 1.0362 data_time: 0.0193 memory: 22681 loss: 1.8219 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8219 2022/10/30 17:07:25 - mmengine - INFO - Epoch(train) [92][340/660] lr: 5.1558e-04 eta: 1:37:19 time: 1.0464 data_time: 0.0234 memory: 22681 loss: 1.8717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8717 2022/10/30 17:07:46 - mmengine - INFO - Epoch(train) [92][360/660] lr: 5.1394e-04 eta: 1:36:58 time: 1.0402 data_time: 0.0193 memory: 22681 loss: 1.7318 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7318 2022/10/30 17:08:07 - mmengine - INFO - Epoch(train) [92][380/660] lr: 5.1230e-04 eta: 1:36:38 time: 1.0317 data_time: 0.0197 memory: 22681 loss: 1.9073 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9073 2022/10/30 17:08:28 - mmengine - INFO - Epoch(train) [92][400/660] lr: 5.1066e-04 eta: 1:36:17 time: 1.0397 data_time: 0.0194 memory: 22681 loss: 1.7158 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7158 2022/10/30 17:08:49 - mmengine - INFO - Epoch(train) [92][420/660] lr: 5.0903e-04 eta: 1:35:56 time: 1.0448 data_time: 0.0249 memory: 22681 loss: 1.8905 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8905 2022/10/30 17:09:09 - mmengine - INFO - Epoch(train) [92][440/660] lr: 5.0740e-04 eta: 1:35:35 time: 1.0412 data_time: 0.0193 memory: 22681 loss: 1.7993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7993 2022/10/30 17:09:30 - mmengine - INFO - Epoch(train) [92][460/660] lr: 5.0578e-04 eta: 1:35:14 time: 1.0322 data_time: 0.0193 memory: 22681 loss: 1.8665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8665 2022/10/30 17:09:51 - mmengine - INFO - Epoch(train) [92][480/660] lr: 5.0416e-04 eta: 1:34:53 time: 1.0350 data_time: 0.0188 memory: 22681 loss: 1.7990 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7990 2022/10/30 17:10:12 - mmengine - INFO - Epoch(train) [92][500/660] lr: 5.0254e-04 eta: 1:34:32 time: 1.0469 data_time: 0.0242 memory: 22681 loss: 1.8141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8141 2022/10/30 17:10:33 - mmengine - INFO - Epoch(train) [92][520/660] lr: 5.0093e-04 eta: 1:34:12 time: 1.0396 data_time: 0.0201 memory: 22681 loss: 1.7146 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7146 2022/10/30 17:10:53 - mmengine - INFO - Epoch(train) [92][540/660] lr: 4.9932e-04 eta: 1:33:51 time: 1.0365 data_time: 0.0186 memory: 22681 loss: 1.9214 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9214 2022/10/30 17:11:14 - mmengine - INFO - Epoch(train) [92][560/660] lr: 4.9772e-04 eta: 1:33:30 time: 1.0385 data_time: 0.0174 memory: 22681 loss: 1.7765 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7765 2022/10/30 17:11:35 - mmengine - INFO - Epoch(train) [92][580/660] lr: 4.9612e-04 eta: 1:33:09 time: 1.0484 data_time: 0.0226 memory: 22681 loss: 1.7786 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7786 2022/10/30 17:11:56 - mmengine - INFO - Epoch(train) [92][600/660] lr: 4.9452e-04 eta: 1:32:48 time: 1.0422 data_time: 0.0182 memory: 22681 loss: 1.7469 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7469 2022/10/30 17:12:17 - mmengine - INFO - Epoch(train) [92][620/660] lr: 4.9293e-04 eta: 1:32:27 time: 1.0411 data_time: 0.0183 memory: 22681 loss: 1.8385 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8385 2022/10/30 17:12:37 - mmengine - INFO - Epoch(train) [92][640/660] lr: 4.9135e-04 eta: 1:32:06 time: 1.0364 data_time: 0.0173 memory: 22681 loss: 1.8871 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8871 2022/10/30 17:12:58 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 17:12:58 - mmengine - INFO - Epoch(train) [92][660/660] lr: 4.8976e-04 eta: 1:31:45 time: 1.0191 data_time: 0.0175 memory: 22681 loss: 1.8552 top1_acc: 0.7143 top5_acc: 0.9286 loss_cls: 1.8552 2022/10/30 17:13:01 - mmengine - INFO - Epoch(val) [92][20/194] eta: 0:00:23 time: 0.1370 data_time: 0.0347 memory: 2517 2022/10/30 17:13:03 - mmengine - INFO - Epoch(val) [92][40/194] eta: 0:00:17 time: 0.1105 data_time: 0.0083 memory: 2517 2022/10/30 17:13:05 - mmengine - INFO - Epoch(val) [92][60/194] eta: 0:00:14 time: 0.1087 data_time: 0.0073 memory: 2517 2022/10/30 17:13:07 - mmengine - INFO - Epoch(val) [92][80/194] eta: 0:00:12 time: 0.1085 data_time: 0.0073 memory: 2517 2022/10/30 17:13:09 - mmengine - INFO - Epoch(val) [92][100/194] eta: 0:00:10 time: 0.1088 data_time: 0.0073 memory: 2517 2022/10/30 17:13:11 - mmengine - INFO - Epoch(val) [92][120/194] eta: 0:00:08 time: 0.1091 data_time: 0.0073 memory: 2517 2022/10/30 17:13:14 - mmengine - INFO - Epoch(val) [92][140/194] eta: 0:00:05 time: 0.1093 data_time: 0.0076 memory: 2517 2022/10/30 17:13:16 - mmengine - INFO - Epoch(val) [92][160/194] eta: 0:00:03 time: 0.1110 data_time: 0.0079 memory: 2517 2022/10/30 17:13:18 - mmengine - INFO - Epoch(val) [92][180/194] eta: 0:00:01 time: 0.1096 data_time: 0.0072 memory: 2517 2022/10/30 17:13:23 - mmengine - INFO - Epoch(val) [92][194/194] acc/top1: 0.6711 acc/top5: 0.9094 acc/mean1: 0.6095 2022/10/30 17:13:23 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_90.pth is removed 2022/10/30 17:13:25 - mmengine - INFO - The best checkpoint with 0.6711 acc/top1 at 92 epoch is saved to best_acc/top1_epoch_92.pth. 2022/10/30 17:13:53 - mmengine - INFO - Epoch(train) [93][20/660] lr: 4.8818e-04 eta: 1:31:25 time: 1.4273 data_time: 0.2465 memory: 22681 loss: 1.8622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8622 2022/10/30 17:14:14 - mmengine - INFO - Epoch(train) [93][40/660] lr: 4.8661e-04 eta: 1:31:04 time: 1.0295 data_time: 0.0148 memory: 22681 loss: 1.7833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7833 2022/10/30 17:14:35 - mmengine - INFO - Epoch(train) [93][60/660] lr: 4.8504e-04 eta: 1:30:43 time: 1.0260 data_time: 0.0202 memory: 22681 loss: 1.7475 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7475 2022/10/30 17:14:55 - mmengine - INFO - Epoch(train) [93][80/660] lr: 4.8348e-04 eta: 1:30:23 time: 1.0243 data_time: 0.0197 memory: 22681 loss: 1.9646 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9646 2022/10/30 17:15:16 - mmengine - INFO - Epoch(train) [93][100/660] lr: 4.8191e-04 eta: 1:30:02 time: 1.0452 data_time: 0.0202 memory: 22681 loss: 1.9310 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9310 2022/10/30 17:15:37 - mmengine - INFO - Epoch(train) [93][120/660] lr: 4.8036e-04 eta: 1:29:41 time: 1.0356 data_time: 0.0190 memory: 22681 loss: 1.8887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8887 2022/10/30 17:15:57 - mmengine - INFO - Epoch(train) [93][140/660] lr: 4.7880e-04 eta: 1:29:20 time: 1.0272 data_time: 0.0202 memory: 22681 loss: 2.0371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0371 2022/10/30 17:16:18 - mmengine - INFO - Epoch(train) [93][160/660] lr: 4.7725e-04 eta: 1:28:59 time: 1.0299 data_time: 0.0208 memory: 22681 loss: 1.7324 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7324 2022/10/30 17:16:39 - mmengine - INFO - Epoch(train) [93][180/660] lr: 4.7571e-04 eta: 1:28:38 time: 1.0438 data_time: 0.0209 memory: 22681 loss: 1.8286 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8286 2022/10/30 17:17:00 - mmengine - INFO - Epoch(train) [93][200/660] lr: 4.7417e-04 eta: 1:28:17 time: 1.0397 data_time: 0.0199 memory: 22681 loss: 1.8458 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8458 2022/10/30 17:17:20 - mmengine - INFO - Epoch(train) [93][220/660] lr: 4.7263e-04 eta: 1:27:57 time: 1.0267 data_time: 0.0197 memory: 22681 loss: 1.6580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6580 2022/10/30 17:17:41 - mmengine - INFO - Epoch(train) [93][240/660] lr: 4.7110e-04 eta: 1:27:36 time: 1.0246 data_time: 0.0197 memory: 22681 loss: 1.7305 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7305 2022/10/30 17:18:01 - mmengine - INFO - Epoch(train) [93][260/660] lr: 4.6957e-04 eta: 1:27:15 time: 1.0424 data_time: 0.0203 memory: 22681 loss: 1.7449 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7449 2022/10/30 17:18:22 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 17:18:22 - mmengine - INFO - Epoch(train) [93][280/660] lr: 4.6805e-04 eta: 1:26:54 time: 1.0366 data_time: 0.0208 memory: 22681 loss: 1.9031 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9031 2022/10/30 17:18:43 - mmengine - INFO - Epoch(train) [93][300/660] lr: 4.6653e-04 eta: 1:26:33 time: 1.0266 data_time: 0.0210 memory: 22681 loss: 1.7664 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7664 2022/10/30 17:19:03 - mmengine - INFO - Epoch(train) [93][320/660] lr: 4.6501e-04 eta: 1:26:12 time: 1.0268 data_time: 0.0204 memory: 22681 loss: 1.8440 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8440 2022/10/30 17:19:24 - mmengine - INFO - Epoch(train) [93][340/660] lr: 4.6350e-04 eta: 1:25:51 time: 1.0426 data_time: 0.0223 memory: 22681 loss: 1.9016 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9016 2022/10/30 17:19:45 - mmengine - INFO - Epoch(train) [93][360/660] lr: 4.6200e-04 eta: 1:25:30 time: 1.0365 data_time: 0.0199 memory: 22681 loss: 1.9463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9463 2022/10/30 17:20:05 - mmengine - INFO - Epoch(train) [93][380/660] lr: 4.6049e-04 eta: 1:25:10 time: 1.0249 data_time: 0.0203 memory: 22681 loss: 1.7907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7907 2022/10/30 17:20:26 - mmengine - INFO - Epoch(train) [93][400/660] lr: 4.5899e-04 eta: 1:24:49 time: 1.0250 data_time: 0.0201 memory: 22681 loss: 1.9323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9323 2022/10/30 17:20:47 - mmengine - INFO - Epoch(train) [93][420/660] lr: 4.5750e-04 eta: 1:24:28 time: 1.0418 data_time: 0.0203 memory: 22681 loss: 1.7543 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7543 2022/10/30 17:21:07 - mmengine - INFO - Epoch(train) [93][440/660] lr: 4.5601e-04 eta: 1:24:07 time: 1.0369 data_time: 0.0221 memory: 22681 loss: 1.8814 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8814 2022/10/30 17:21:28 - mmengine - INFO - Epoch(train) [93][460/660] lr: 4.5452e-04 eta: 1:23:46 time: 1.0252 data_time: 0.0204 memory: 22681 loss: 1.9207 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9207 2022/10/30 17:21:48 - mmengine - INFO - Epoch(train) [93][480/660] lr: 4.5304e-04 eta: 1:23:25 time: 1.0259 data_time: 0.0197 memory: 22681 loss: 1.7946 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7946 2022/10/30 17:22:09 - mmengine - INFO - Epoch(train) [93][500/660] lr: 4.5156e-04 eta: 1:23:04 time: 1.0459 data_time: 0.0208 memory: 22681 loss: 1.9025 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9025 2022/10/30 17:22:30 - mmengine - INFO - Epoch(train) [93][520/660] lr: 4.5009e-04 eta: 1:22:43 time: 1.0344 data_time: 0.0206 memory: 22681 loss: 1.8562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8562 2022/10/30 17:22:50 - mmengine - INFO - Epoch(train) [93][540/660] lr: 4.4862e-04 eta: 1:22:23 time: 1.0251 data_time: 0.0202 memory: 22681 loss: 1.7618 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7618 2022/10/30 17:23:11 - mmengine - INFO - Epoch(train) [93][560/660] lr: 4.4716e-04 eta: 1:22:02 time: 1.0276 data_time: 0.0198 memory: 22681 loss: 1.8866 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8866 2022/10/30 17:23:32 - mmengine - INFO - Epoch(train) [93][580/660] lr: 4.4570e-04 eta: 1:21:41 time: 1.0424 data_time: 0.0203 memory: 22681 loss: 1.8212 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8212 2022/10/30 17:23:53 - mmengine - INFO - Epoch(train) [93][600/660] lr: 4.4424e-04 eta: 1:21:20 time: 1.0354 data_time: 0.0213 memory: 22681 loss: 1.8154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8154 2022/10/30 17:24:13 - mmengine - INFO - Epoch(train) [93][620/660] lr: 4.4279e-04 eta: 1:20:59 time: 1.0258 data_time: 0.0201 memory: 22681 loss: 1.8764 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8764 2022/10/30 17:24:34 - mmengine - INFO - Epoch(train) [93][640/660] lr: 4.4134e-04 eta: 1:20:38 time: 1.0234 data_time: 0.0204 memory: 22681 loss: 1.9260 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9260 2022/10/30 17:24:54 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 17:24:54 - mmengine - INFO - Epoch(train) [93][660/660] lr: 4.3990e-04 eta: 1:20:17 time: 1.0167 data_time: 0.0198 memory: 22681 loss: 1.8414 top1_acc: 0.5000 top5_acc: 0.7857 loss_cls: 1.8414 2022/10/30 17:24:54 - mmengine - INFO - Saving checkpoint at 93 epochs 2022/10/30 17:24:58 - mmengine - INFO - Epoch(val) [93][20/194] eta: 0:00:22 time: 0.1275 data_time: 0.0264 memory: 2517 2022/10/30 17:25:00 - mmengine - INFO - Epoch(val) [93][40/194] eta: 0:00:16 time: 0.1077 data_time: 0.0069 memory: 2517 2022/10/30 17:25:02 - mmengine - INFO - Epoch(val) [93][60/194] eta: 0:00:14 time: 0.1087 data_time: 0.0075 memory: 2517 2022/10/30 17:25:04 - mmengine - INFO - Epoch(val) [93][80/194] eta: 0:00:12 time: 0.1083 data_time: 0.0074 memory: 2517 2022/10/30 17:25:06 - mmengine - INFO - Epoch(val) [93][100/194] eta: 0:00:10 time: 0.1084 data_time: 0.0075 memory: 2517 2022/10/30 17:25:09 - mmengine - INFO - Epoch(val) [93][120/194] eta: 0:00:08 time: 0.1082 data_time: 0.0072 memory: 2517 2022/10/30 17:25:11 - mmengine - INFO - Epoch(val) [93][140/194] eta: 0:00:05 time: 0.1077 data_time: 0.0069 memory: 2517 2022/10/30 17:25:13 - mmengine - INFO - Epoch(val) [93][160/194] eta: 0:00:03 time: 0.1080 data_time: 0.0072 memory: 2517 2022/10/30 17:25:15 - mmengine - INFO - Epoch(val) [93][180/194] eta: 0:00:01 time: 0.1077 data_time: 0.0070 memory: 2517 2022/10/30 17:25:18 - mmengine - INFO - Epoch(val) [93][194/194] acc/top1: 0.6693 acc/top5: 0.9091 acc/mean1: 0.6054 2022/10/30 17:25:47 - mmengine - INFO - Epoch(train) [94][20/660] lr: 4.3846e-04 eta: 1:19:57 time: 1.4587 data_time: 0.2662 memory: 22681 loss: 1.8732 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8732 2022/10/30 17:26:07 - mmengine - INFO - Epoch(train) [94][40/660] lr: 4.3702e-04 eta: 1:19:36 time: 1.0242 data_time: 0.0204 memory: 22681 loss: 1.8563 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8563 2022/10/30 17:26:28 - mmengine - INFO - Epoch(train) [94][60/660] lr: 4.3559e-04 eta: 1:19:15 time: 1.0216 data_time: 0.0197 memory: 22681 loss: 1.7622 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.7622 2022/10/30 17:26:48 - mmengine - INFO - Epoch(train) [94][80/660] lr: 4.3416e-04 eta: 1:18:54 time: 1.0232 data_time: 0.0193 memory: 22681 loss: 1.8950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8950 2022/10/30 17:27:09 - mmengine - INFO - Epoch(train) [94][100/660] lr: 4.3274e-04 eta: 1:18:33 time: 1.0380 data_time: 0.0229 memory: 22681 loss: 1.7992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7992 2022/10/30 17:27:29 - mmengine - INFO - Epoch(train) [94][120/660] lr: 4.3132e-04 eta: 1:18:13 time: 1.0285 data_time: 0.0195 memory: 22681 loss: 1.8048 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8048 2022/10/30 17:27:50 - mmengine - INFO - Epoch(train) [94][140/660] lr: 4.2991e-04 eta: 1:17:52 time: 1.0195 data_time: 0.0184 memory: 22681 loss: 1.8452 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8452 2022/10/30 17:28:10 - mmengine - INFO - Epoch(train) [94][160/660] lr: 4.2850e-04 eta: 1:17:31 time: 1.0191 data_time: 0.0191 memory: 22681 loss: 1.8903 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8903 2022/10/30 17:28:31 - mmengine - INFO - Epoch(train) [94][180/660] lr: 4.2709e-04 eta: 1:17:10 time: 1.0357 data_time: 0.0231 memory: 22681 loss: 1.8791 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8791 2022/10/30 17:28:51 - mmengine - INFO - Epoch(train) [94][200/660] lr: 4.2569e-04 eta: 1:16:49 time: 1.0283 data_time: 0.0222 memory: 22681 loss: 1.9179 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9179 2022/10/30 17:29:12 - mmengine - INFO - Epoch(train) [94][220/660] lr: 4.2429e-04 eta: 1:16:28 time: 1.0284 data_time: 0.0229 memory: 22681 loss: 1.8137 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8137 2022/10/30 17:29:33 - mmengine - INFO - Epoch(train) [94][240/660] lr: 4.2290e-04 eta: 1:16:07 time: 1.0276 data_time: 0.0196 memory: 22681 loss: 1.8272 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8272 2022/10/30 17:29:54 - mmengine - INFO - Epoch(train) [94][260/660] lr: 4.2151e-04 eta: 1:15:46 time: 1.0451 data_time: 0.0297 memory: 22681 loss: 1.8195 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8195 2022/10/30 17:30:14 - mmengine - INFO - Epoch(train) [94][280/660] lr: 4.2013e-04 eta: 1:15:26 time: 1.0267 data_time: 0.0194 memory: 22681 loss: 2.0031 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0031 2022/10/30 17:30:35 - mmengine - INFO - Epoch(train) [94][300/660] lr: 4.1875e-04 eta: 1:15:05 time: 1.0243 data_time: 0.0194 memory: 22681 loss: 1.8127 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8127 2022/10/30 17:30:55 - mmengine - INFO - Epoch(train) [94][320/660] lr: 4.1737e-04 eta: 1:14:44 time: 1.0259 data_time: 0.0191 memory: 22681 loss: 1.8072 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8072 2022/10/30 17:31:16 - mmengine - INFO - Epoch(train) [94][340/660] lr: 4.1600e-04 eta: 1:14:23 time: 1.0415 data_time: 0.0245 memory: 22681 loss: 1.8957 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8957 2022/10/30 17:31:36 - mmengine - INFO - Epoch(train) [94][360/660] lr: 4.1463e-04 eta: 1:14:02 time: 1.0296 data_time: 0.0190 memory: 22681 loss: 1.8742 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8742 2022/10/30 17:31:57 - mmengine - INFO - Epoch(train) [94][380/660] lr: 4.1327e-04 eta: 1:13:41 time: 1.0260 data_time: 0.0193 memory: 22681 loss: 1.8510 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8510 2022/10/30 17:32:18 - mmengine - INFO - Epoch(train) [94][400/660] lr: 4.1191e-04 eta: 1:13:20 time: 1.0274 data_time: 0.0191 memory: 22681 loss: 1.8794 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8794 2022/10/30 17:32:38 - mmengine - INFO - Epoch(train) [94][420/660] lr: 4.1055e-04 eta: 1:12:59 time: 1.0441 data_time: 0.0242 memory: 22681 loss: 1.9265 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9265 2022/10/30 17:32:59 - mmengine - INFO - Epoch(train) [94][440/660] lr: 4.0920e-04 eta: 1:12:39 time: 1.0347 data_time: 0.0183 memory: 22681 loss: 1.7399 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7399 2022/10/30 17:33:20 - mmengine - INFO - Epoch(train) [94][460/660] lr: 4.0786e-04 eta: 1:12:18 time: 1.0299 data_time: 0.0184 memory: 22681 loss: 1.8334 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8334 2022/10/30 17:33:40 - mmengine - INFO - Epoch(train) [94][480/660] lr: 4.0651e-04 eta: 1:11:57 time: 1.0263 data_time: 0.0198 memory: 22681 loss: 1.8300 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8300 2022/10/30 17:34:01 - mmengine - INFO - Epoch(train) [94][500/660] lr: 4.0518e-04 eta: 1:11:36 time: 1.0389 data_time: 0.0204 memory: 22681 loss: 1.6943 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6943 2022/10/30 17:34:22 - mmengine - INFO - Epoch(train) [94][520/660] lr: 4.0384e-04 eta: 1:11:15 time: 1.0340 data_time: 0.0234 memory: 22681 loss: 1.8866 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8866 2022/10/30 17:34:42 - mmengine - INFO - Epoch(train) [94][540/660] lr: 4.0251e-04 eta: 1:10:54 time: 1.0238 data_time: 0.0184 memory: 22681 loss: 1.7791 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7791 2022/10/30 17:35:03 - mmengine - INFO - Epoch(train) [94][560/660] lr: 4.0119e-04 eta: 1:10:33 time: 1.0256 data_time: 0.0200 memory: 22681 loss: 2.0235 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0235 2022/10/30 17:35:23 - mmengine - INFO - Epoch(train) [94][580/660] lr: 3.9987e-04 eta: 1:10:13 time: 1.0380 data_time: 0.0205 memory: 22681 loss: 1.9222 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9222 2022/10/30 17:35:44 - mmengine - INFO - Epoch(train) [94][600/660] lr: 3.9855e-04 eta: 1:09:52 time: 1.0306 data_time: 0.0235 memory: 22681 loss: 1.8271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8271 2022/10/30 17:36:05 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 17:36:05 - mmengine - INFO - Epoch(train) [94][620/660] lr: 3.9724e-04 eta: 1:09:31 time: 1.0286 data_time: 0.0190 memory: 22681 loss: 1.8528 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8528 2022/10/30 17:36:25 - mmengine - INFO - Epoch(train) [94][640/660] lr: 3.9593e-04 eta: 1:09:10 time: 1.0206 data_time: 0.0203 memory: 22681 loss: 1.8120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8120 2022/10/30 17:36:45 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 17:36:45 - mmengine - INFO - Epoch(train) [94][660/660] lr: 3.9463e-04 eta: 1:08:49 time: 1.0142 data_time: 0.0213 memory: 22681 loss: 1.7710 top1_acc: 0.7857 top5_acc: 0.9286 loss_cls: 1.7710 2022/10/30 17:36:48 - mmengine - INFO - Epoch(val) [94][20/194] eta: 0:00:23 time: 0.1375 data_time: 0.0355 memory: 2517 2022/10/30 17:36:50 - mmengine - INFO - Epoch(val) [94][40/194] eta: 0:00:16 time: 0.1078 data_time: 0.0075 memory: 2517 2022/10/30 17:36:52 - mmengine - INFO - Epoch(val) [94][60/194] eta: 0:00:14 time: 0.1079 data_time: 0.0075 memory: 2517 2022/10/30 17:36:55 - mmengine - INFO - Epoch(val) [94][80/194] eta: 0:00:12 time: 0.1081 data_time: 0.0075 memory: 2517 2022/10/30 17:36:57 - mmengine - INFO - Epoch(val) [94][100/194] eta: 0:00:10 time: 0.1080 data_time: 0.0073 memory: 2517 2022/10/30 17:36:59 - mmengine - INFO - Epoch(val) [94][120/194] eta: 0:00:07 time: 0.1079 data_time: 0.0072 memory: 2517 2022/10/30 17:37:01 - mmengine - INFO - Epoch(val) [94][140/194] eta: 0:00:05 time: 0.1082 data_time: 0.0075 memory: 2517 2022/10/30 17:37:03 - mmengine - INFO - Epoch(val) [94][160/194] eta: 0:00:03 time: 0.1088 data_time: 0.0079 memory: 2517 2022/10/30 17:37:05 - mmengine - INFO - Epoch(val) [94][180/194] eta: 0:00:01 time: 0.1081 data_time: 0.0074 memory: 2517 2022/10/30 17:37:09 - mmengine - INFO - Epoch(val) [94][194/194] acc/top1: 0.6697 acc/top5: 0.9087 acc/mean1: 0.6071 2022/10/30 17:37:38 - mmengine - INFO - Epoch(train) [95][20/660] lr: 3.9333e-04 eta: 1:08:29 time: 1.4827 data_time: 0.2383 memory: 22681 loss: 1.7659 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7659 2022/10/30 17:37:59 - mmengine - INFO - Epoch(train) [95][40/660] lr: 3.9203e-04 eta: 1:08:08 time: 1.0202 data_time: 0.0190 memory: 22681 loss: 1.8204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8204 2022/10/30 17:38:19 - mmengine - INFO - Epoch(train) [95][60/660] lr: 3.9074e-04 eta: 1:07:47 time: 1.0264 data_time: 0.0204 memory: 22681 loss: 1.8495 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8495 2022/10/30 17:38:40 - mmengine - INFO - Epoch(train) [95][80/660] lr: 3.8945e-04 eta: 1:07:26 time: 1.0237 data_time: 0.0198 memory: 22681 loss: 1.8444 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8444 2022/10/30 17:39:01 - mmengine - INFO - Epoch(train) [95][100/660] lr: 3.8817e-04 eta: 1:07:05 time: 1.0428 data_time: 0.0245 memory: 22681 loss: 1.8179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8179 2022/10/30 17:39:21 - mmengine - INFO - Epoch(train) [95][120/660] lr: 3.8689e-04 eta: 1:06:44 time: 1.0244 data_time: 0.0184 memory: 22681 loss: 1.9296 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9296 2022/10/30 17:39:42 - mmengine - INFO - Epoch(train) [95][140/660] lr: 3.8562e-04 eta: 1:06:23 time: 1.0258 data_time: 0.0185 memory: 22681 loss: 1.7905 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7905 2022/10/30 17:40:02 - mmengine - INFO - Epoch(train) [95][160/660] lr: 3.8435e-04 eta: 1:06:03 time: 1.0211 data_time: 0.0193 memory: 22681 loss: 1.8747 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8747 2022/10/30 17:40:23 - mmengine - INFO - Epoch(train) [95][180/660] lr: 3.8308e-04 eta: 1:05:42 time: 1.0407 data_time: 0.0234 memory: 22681 loss: 1.7666 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7666 2022/10/30 17:40:43 - mmengine - INFO - Epoch(train) [95][200/660] lr: 3.8182e-04 eta: 1:05:21 time: 1.0309 data_time: 0.0182 memory: 22681 loss: 1.7868 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7868 2022/10/30 17:41:04 - mmengine - INFO - Epoch(train) [95][220/660] lr: 3.8057e-04 eta: 1:05:00 time: 1.0276 data_time: 0.0190 memory: 22681 loss: 1.9202 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9202 2022/10/30 17:41:25 - mmengine - INFO - Epoch(train) [95][240/660] lr: 3.7931e-04 eta: 1:04:39 time: 1.0277 data_time: 0.0190 memory: 22681 loss: 1.7900 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7900 2022/10/30 17:41:45 - mmengine - INFO - Epoch(train) [95][260/660] lr: 3.7807e-04 eta: 1:04:18 time: 1.0420 data_time: 0.0244 memory: 22681 loss: 1.7398 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7398 2022/10/30 17:42:06 - mmengine - INFO - Epoch(train) [95][280/660] lr: 3.7682e-04 eta: 1:03:57 time: 1.0296 data_time: 0.0190 memory: 22681 loss: 1.7015 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7015 2022/10/30 17:42:27 - mmengine - INFO - Epoch(train) [95][300/660] lr: 3.7558e-04 eta: 1:03:36 time: 1.0281 data_time: 0.0198 memory: 22681 loss: 1.8309 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8309 2022/10/30 17:42:47 - mmengine - INFO - Epoch(train) [95][320/660] lr: 3.7435e-04 eta: 1:03:16 time: 1.0252 data_time: 0.0207 memory: 22681 loss: 2.0021 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0021 2022/10/30 17:43:08 - mmengine - INFO - Epoch(train) [95][340/660] lr: 3.7312e-04 eta: 1:02:55 time: 1.0413 data_time: 0.0241 memory: 22681 loss: 1.8000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8000 2022/10/30 17:43:29 - mmengine - INFO - Epoch(train) [95][360/660] lr: 3.7189e-04 eta: 1:02:34 time: 1.0314 data_time: 0.0188 memory: 22681 loss: 1.8717 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8717 2022/10/30 17:43:49 - mmengine - INFO - Epoch(train) [95][380/660] lr: 3.7067e-04 eta: 1:02:13 time: 1.0265 data_time: 0.0186 memory: 22681 loss: 1.8324 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8324 2022/10/30 17:44:09 - mmengine - INFO - Epoch(train) [95][400/660] lr: 3.6945e-04 eta: 1:01:52 time: 1.0227 data_time: 0.0191 memory: 22681 loss: 1.7826 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7826 2022/10/30 17:44:30 - mmengine - INFO - Epoch(train) [95][420/660] lr: 3.6823e-04 eta: 1:01:31 time: 1.0453 data_time: 0.0231 memory: 22681 loss: 1.7591 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.7591 2022/10/30 17:44:51 - mmengine - INFO - Epoch(train) [95][440/660] lr: 3.6702e-04 eta: 1:01:10 time: 1.0282 data_time: 0.0189 memory: 22681 loss: 1.7465 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7465 2022/10/30 17:45:12 - mmengine - INFO - Epoch(train) [95][460/660] lr: 3.6582e-04 eta: 1:00:49 time: 1.0304 data_time: 0.0181 memory: 22681 loss: 1.8812 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8812 2022/10/30 17:45:32 - mmengine - INFO - Epoch(train) [95][480/660] lr: 3.6462e-04 eta: 1:00:29 time: 1.0275 data_time: 0.0186 memory: 22681 loss: 1.9116 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9116 2022/10/30 17:45:53 - mmengine - INFO - Epoch(train) [95][500/660] lr: 3.6342e-04 eta: 1:00:08 time: 1.0436 data_time: 0.0234 memory: 22681 loss: 1.8245 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8245 2022/10/30 17:46:14 - mmengine - INFO - Epoch(train) [95][520/660] lr: 3.6223e-04 eta: 0:59:47 time: 1.0326 data_time: 0.0206 memory: 22681 loss: 1.9485 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9485 2022/10/30 17:46:34 - mmengine - INFO - Epoch(train) [95][540/660] lr: 3.6104e-04 eta: 0:59:26 time: 1.0294 data_time: 0.0188 memory: 22681 loss: 1.7720 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7720 2022/10/30 17:46:55 - mmengine - INFO - Epoch(train) [95][560/660] lr: 3.5986e-04 eta: 0:59:05 time: 1.0269 data_time: 0.0180 memory: 22681 loss: 1.7996 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7996 2022/10/30 17:47:16 - mmengine - INFO - Epoch(train) [95][580/660] lr: 3.5868e-04 eta: 0:58:44 time: 1.0487 data_time: 0.0228 memory: 22681 loss: 1.9562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9562 2022/10/30 17:47:36 - mmengine - INFO - Epoch(train) [95][600/660] lr: 3.5750e-04 eta: 0:58:23 time: 1.0319 data_time: 0.0201 memory: 22681 loss: 1.8985 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8985 2022/10/30 17:47:57 - mmengine - INFO - Epoch(train) [95][620/660] lr: 3.5633e-04 eta: 0:58:03 time: 1.0293 data_time: 0.0184 memory: 22681 loss: 1.8394 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8394 2022/10/30 17:48:17 - mmengine - INFO - Epoch(train) [95][640/660] lr: 3.5516e-04 eta: 0:57:42 time: 1.0230 data_time: 0.0203 memory: 22681 loss: 1.8403 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8403 2022/10/30 17:48:38 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 17:48:38 - mmengine - INFO - Epoch(train) [95][660/660] lr: 3.5400e-04 eta: 0:57:21 time: 1.0161 data_time: 0.0218 memory: 22681 loss: 1.8952 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8952 2022/10/30 17:48:40 - mmengine - INFO - Epoch(val) [95][20/194] eta: 0:00:23 time: 0.1332 data_time: 0.0307 memory: 2517 2022/10/30 17:48:43 - mmengine - INFO - Epoch(val) [95][40/194] eta: 0:00:16 time: 0.1099 data_time: 0.0080 memory: 2517 2022/10/30 17:48:45 - mmengine - INFO - Epoch(val) [95][60/194] eta: 0:00:14 time: 0.1092 data_time: 0.0076 memory: 2517 2022/10/30 17:48:47 - mmengine - INFO - Epoch(val) [95][80/194] eta: 0:00:12 time: 0.1100 data_time: 0.0079 memory: 2517 2022/10/30 17:48:49 - mmengine - INFO - Epoch(val) [95][100/194] eta: 0:00:10 time: 0.1102 data_time: 0.0084 memory: 2517 2022/10/30 17:48:51 - mmengine - INFO - Epoch(val) [95][120/194] eta: 0:00:08 time: 0.1089 data_time: 0.0077 memory: 2517 2022/10/30 17:48:54 - mmengine - INFO - Epoch(val) [95][140/194] eta: 0:00:05 time: 0.1079 data_time: 0.0074 memory: 2517 2022/10/30 17:48:56 - mmengine - INFO - Epoch(val) [95][160/194] eta: 0:00:03 time: 0.1080 data_time: 0.0072 memory: 2517 2022/10/30 17:48:58 - mmengine - INFO - Epoch(val) [95][180/194] eta: 0:00:01 time: 0.1082 data_time: 0.0074 memory: 2517 2022/10/30 17:49:03 - mmengine - INFO - Epoch(val) [95][194/194] acc/top1: 0.6710 acc/top5: 0.9091 acc/mean1: 0.6080 2022/10/30 17:49:32 - mmengine - INFO - Epoch(train) [96][20/660] lr: 3.5284e-04 eta: 0:57:00 time: 1.4592 data_time: 0.2406 memory: 22681 loss: 1.8497 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8497 2022/10/30 17:49:53 - mmengine - INFO - Epoch(train) [96][40/660] lr: 3.5169e-04 eta: 0:56:39 time: 1.0227 data_time: 0.0197 memory: 22681 loss: 1.8475 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8475 2022/10/30 17:50:13 - mmengine - INFO - Epoch(train) [96][60/660] lr: 3.5054e-04 eta: 0:56:19 time: 1.0280 data_time: 0.0193 memory: 22681 loss: 1.8854 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8854 2022/10/30 17:50:34 - mmengine - INFO - Epoch(train) [96][80/660] lr: 3.4939e-04 eta: 0:55:58 time: 1.0266 data_time: 0.0208 memory: 22681 loss: 1.9140 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9140 2022/10/30 17:50:55 - mmengine - INFO - Epoch(train) [96][100/660] lr: 3.4825e-04 eta: 0:55:37 time: 1.0408 data_time: 0.0243 memory: 22681 loss: 1.8595 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8595 2022/10/30 17:51:15 - mmengine - INFO - Epoch(train) [96][120/660] lr: 3.4712e-04 eta: 0:55:16 time: 1.0272 data_time: 0.0190 memory: 22681 loss: 1.8293 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8293 2022/10/30 17:51:36 - mmengine - INFO - Epoch(train) [96][140/660] lr: 3.4598e-04 eta: 0:54:55 time: 1.0292 data_time: 0.0193 memory: 22681 loss: 1.8475 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8475 2022/10/30 17:51:56 - mmengine - INFO - Epoch(train) [96][160/660] lr: 3.4486e-04 eta: 0:54:34 time: 1.0298 data_time: 0.0201 memory: 22681 loss: 1.9069 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9069 2022/10/30 17:52:17 - mmengine - INFO - Epoch(train) [96][180/660] lr: 3.4373e-04 eta: 0:54:13 time: 1.0419 data_time: 0.0244 memory: 22681 loss: 1.7733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7733 2022/10/30 17:52:38 - mmengine - INFO - Epoch(train) [96][200/660] lr: 3.4261e-04 eta: 0:53:53 time: 1.0315 data_time: 0.0191 memory: 22681 loss: 1.8446 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8446 2022/10/30 17:52:59 - mmengine - INFO - Epoch(train) [96][220/660] lr: 3.4150e-04 eta: 0:53:32 time: 1.0318 data_time: 0.0196 memory: 22681 loss: 1.9314 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9314 2022/10/30 17:53:19 - mmengine - INFO - Epoch(train) [96][240/660] lr: 3.4039e-04 eta: 0:53:11 time: 1.0260 data_time: 0.0202 memory: 22681 loss: 1.8461 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8461 2022/10/30 17:53:40 - mmengine - INFO - Epoch(train) [96][260/660] lr: 3.3928e-04 eta: 0:52:50 time: 1.0449 data_time: 0.0248 memory: 22681 loss: 1.6941 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6941 2022/10/30 17:54:01 - mmengine - INFO - Epoch(train) [96][280/660] lr: 3.3818e-04 eta: 0:52:29 time: 1.0329 data_time: 0.0193 memory: 22681 loss: 1.8336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8336 2022/10/30 17:54:21 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 17:54:21 - mmengine - INFO - Epoch(train) [96][300/660] lr: 3.3708e-04 eta: 0:52:08 time: 1.0332 data_time: 0.0199 memory: 22681 loss: 1.8495 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8495 2022/10/30 17:54:42 - mmengine - INFO - Epoch(train) [96][320/660] lr: 3.3599e-04 eta: 0:51:47 time: 1.0281 data_time: 0.0199 memory: 22681 loss: 1.8641 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8641 2022/10/30 17:55:03 - mmengine - INFO - Epoch(train) [96][340/660] lr: 3.3490e-04 eta: 0:51:26 time: 1.0482 data_time: 0.0233 memory: 22681 loss: 1.9476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9476 2022/10/30 17:55:23 - mmengine - INFO - Epoch(train) [96][360/660] lr: 3.3381e-04 eta: 0:51:06 time: 1.0318 data_time: 0.0199 memory: 22681 loss: 1.9228 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9228 2022/10/30 17:55:44 - mmengine - INFO - Epoch(train) [96][380/660] lr: 3.3273e-04 eta: 0:50:45 time: 1.0322 data_time: 0.0196 memory: 22681 loss: 1.9641 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9641 2022/10/30 17:56:05 - mmengine - INFO - Epoch(train) [96][400/660] lr: 3.3166e-04 eta: 0:50:24 time: 1.0290 data_time: 0.0195 memory: 22681 loss: 1.6923 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6923 2022/10/30 17:56:26 - mmengine - INFO - Epoch(train) [96][420/660] lr: 3.3058e-04 eta: 0:50:03 time: 1.0481 data_time: 0.0226 memory: 22681 loss: 1.8150 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8150 2022/10/30 17:56:46 - mmengine - INFO - Epoch(train) [96][440/660] lr: 3.2952e-04 eta: 0:49:42 time: 1.0363 data_time: 0.0201 memory: 22681 loss: 1.9321 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9321 2022/10/30 17:57:07 - mmengine - INFO - Epoch(train) [96][460/660] lr: 3.2845e-04 eta: 0:49:21 time: 1.0355 data_time: 0.0193 memory: 22681 loss: 1.9612 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9612 2022/10/30 17:57:28 - mmengine - INFO - Epoch(train) [96][480/660] lr: 3.2739e-04 eta: 0:49:00 time: 1.0322 data_time: 0.0193 memory: 22681 loss: 1.8814 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8814 2022/10/30 17:57:49 - mmengine - INFO - Epoch(train) [96][500/660] lr: 3.2634e-04 eta: 0:48:40 time: 1.0456 data_time: 0.0248 memory: 22681 loss: 1.9053 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9053 2022/10/30 17:58:09 - mmengine - INFO - Epoch(train) [96][520/660] lr: 3.2529e-04 eta: 0:48:19 time: 1.0391 data_time: 0.0203 memory: 22681 loss: 1.6547 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6547 2022/10/30 17:58:30 - mmengine - INFO - Epoch(train) [96][540/660] lr: 3.2424e-04 eta: 0:47:58 time: 1.0350 data_time: 0.0190 memory: 22681 loss: 1.8408 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8408 2022/10/30 17:58:51 - mmengine - INFO - Epoch(train) [96][560/660] lr: 3.2320e-04 eta: 0:47:37 time: 1.0306 data_time: 0.0193 memory: 22681 loss: 1.8137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8137 2022/10/30 17:59:12 - mmengine - INFO - Epoch(train) [96][580/660] lr: 3.2216e-04 eta: 0:47:16 time: 1.0445 data_time: 0.0236 memory: 22681 loss: 1.8674 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8674 2022/10/30 17:59:32 - mmengine - INFO - Epoch(train) [96][600/660] lr: 3.2113e-04 eta: 0:46:55 time: 1.0372 data_time: 0.0195 memory: 22681 loss: 1.8835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8835 2022/10/30 17:59:53 - mmengine - INFO - Epoch(train) [96][620/660] lr: 3.2010e-04 eta: 0:46:34 time: 1.0372 data_time: 0.0197 memory: 22681 loss: 1.8205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8205 2022/10/30 18:00:14 - mmengine - INFO - Epoch(train) [96][640/660] lr: 3.1908e-04 eta: 0:46:14 time: 1.0297 data_time: 0.0196 memory: 22681 loss: 1.8182 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8182 2022/10/30 18:00:34 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 18:00:34 - mmengine - INFO - Epoch(train) [96][660/660] lr: 3.1806e-04 eta: 0:45:53 time: 1.0243 data_time: 0.0207 memory: 22681 loss: 1.6774 top1_acc: 0.7857 top5_acc: 0.8571 loss_cls: 1.6774 2022/10/30 18:00:34 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/10/30 18:00:38 - mmengine - INFO - Epoch(val) [96][20/194] eta: 0:00:22 time: 0.1269 data_time: 0.0247 memory: 2517 2022/10/30 18:00:40 - mmengine - INFO - Epoch(val) [96][40/194] eta: 0:00:16 time: 0.1095 data_time: 0.0079 memory: 2517 2022/10/30 18:00:42 - mmengine - INFO - Epoch(val) [96][60/194] eta: 0:00:14 time: 0.1100 data_time: 0.0082 memory: 2517 2022/10/30 18:00:45 - mmengine - INFO - Epoch(val) [96][80/194] eta: 0:00:12 time: 0.1092 data_time: 0.0077 memory: 2517 2022/10/30 18:00:47 - mmengine - INFO - Epoch(val) [96][100/194] eta: 0:00:10 time: 0.1091 data_time: 0.0076 memory: 2517 2022/10/30 18:00:49 - mmengine - INFO - Epoch(val) [96][120/194] eta: 0:00:08 time: 0.1084 data_time: 0.0076 memory: 2517 2022/10/30 18:00:51 - mmengine - INFO - Epoch(val) [96][140/194] eta: 0:00:05 time: 0.1081 data_time: 0.0072 memory: 2517 2022/10/30 18:00:53 - mmengine - INFO - Epoch(val) [96][160/194] eta: 0:00:03 time: 0.1082 data_time: 0.0074 memory: 2517 2022/10/30 18:00:55 - mmengine - INFO - Epoch(val) [96][180/194] eta: 0:00:01 time: 0.1076 data_time: 0.0071 memory: 2517 2022/10/30 18:01:06 - mmengine - INFO - Epoch(val) [96][194/194] acc/top1: 0.6700 acc/top5: 0.9093 acc/mean1: 0.6079 2022/10/30 18:01:36 - mmengine - INFO - Epoch(train) [97][20/660] lr: 3.1704e-04 eta: 0:45:32 time: 1.5096 data_time: 0.2622 memory: 22681 loss: 1.7600 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7600 2022/10/30 18:01:57 - mmengine - INFO - Epoch(train) [97][40/660] lr: 3.1603e-04 eta: 0:45:11 time: 1.0300 data_time: 0.0182 memory: 22681 loss: 1.8903 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8903 2022/10/30 18:02:18 - mmengine - INFO - Epoch(train) [97][60/660] lr: 3.1502e-04 eta: 0:44:50 time: 1.0271 data_time: 0.0212 memory: 22681 loss: 1.9680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9680 2022/10/30 18:02:38 - mmengine - INFO - Epoch(train) [97][80/660] lr: 3.1402e-04 eta: 0:44:30 time: 1.0234 data_time: 0.0196 memory: 22681 loss: 1.7913 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7913 2022/10/30 18:02:59 - mmengine - INFO - Epoch(train) [97][100/660] lr: 3.1302e-04 eta: 0:44:09 time: 1.0409 data_time: 0.0252 memory: 22681 loss: 1.9077 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9077 2022/10/30 18:03:20 - mmengine - INFO - Epoch(train) [97][120/660] lr: 3.1203e-04 eta: 0:43:48 time: 1.0372 data_time: 0.0188 memory: 22681 loss: 1.8836 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8836 2022/10/30 18:03:40 - mmengine - INFO - Epoch(train) [97][140/660] lr: 3.1104e-04 eta: 0:43:27 time: 1.0270 data_time: 0.0200 memory: 22681 loss: 1.8619 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8619 2022/10/30 18:04:01 - mmengine - INFO - Epoch(train) [97][160/660] lr: 3.1006e-04 eta: 0:43:06 time: 1.0259 data_time: 0.0190 memory: 22681 loss: 1.9338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9338 2022/10/30 18:04:22 - mmengine - INFO - Epoch(train) [97][180/660] lr: 3.0907e-04 eta: 0:42:45 time: 1.0455 data_time: 0.0237 memory: 22681 loss: 1.7947 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7947 2022/10/30 18:04:42 - mmengine - INFO - Epoch(train) [97][200/660] lr: 3.0810e-04 eta: 0:42:24 time: 1.0317 data_time: 0.0200 memory: 22681 loss: 1.8335 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8335 2022/10/30 18:05:03 - mmengine - INFO - Epoch(train) [97][220/660] lr: 3.0713e-04 eta: 0:42:03 time: 1.0289 data_time: 0.0199 memory: 22681 loss: 1.8470 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8470 2022/10/30 18:05:23 - mmengine - INFO - Epoch(train) [97][240/660] lr: 3.0616e-04 eta: 0:41:43 time: 1.0308 data_time: 0.0195 memory: 22681 loss: 1.8449 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8449 2022/10/30 18:05:44 - mmengine - INFO - Epoch(train) [97][260/660] lr: 3.0519e-04 eta: 0:41:22 time: 1.0467 data_time: 0.0232 memory: 22681 loss: 1.8069 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8069 2022/10/30 18:06:05 - mmengine - INFO - Epoch(train) [97][280/660] lr: 3.0423e-04 eta: 0:41:01 time: 1.0347 data_time: 0.0214 memory: 22681 loss: 1.8289 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8289 2022/10/30 18:06:26 - mmengine - INFO - Epoch(train) [97][300/660] lr: 3.0328e-04 eta: 0:40:40 time: 1.0274 data_time: 0.0210 memory: 22681 loss: 1.7785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7785 2022/10/30 18:06:46 - mmengine - INFO - Epoch(train) [97][320/660] lr: 3.0233e-04 eta: 0:40:19 time: 1.0290 data_time: 0.0196 memory: 22681 loss: 1.9181 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9181 2022/10/30 18:07:07 - mmengine - INFO - Epoch(train) [97][340/660] lr: 3.0138e-04 eta: 0:39:58 time: 1.0475 data_time: 0.0256 memory: 22681 loss: 1.8873 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8873 2022/10/30 18:07:28 - mmengine - INFO - Epoch(train) [97][360/660] lr: 3.0044e-04 eta: 0:39:37 time: 1.0414 data_time: 0.0196 memory: 22681 loss: 1.7444 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7444 2022/10/30 18:07:49 - mmengine - INFO - Epoch(train) [97][380/660] lr: 2.9950e-04 eta: 0:39:17 time: 1.0294 data_time: 0.0196 memory: 22681 loss: 1.9302 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9302 2022/10/30 18:08:09 - mmengine - INFO - Epoch(train) [97][400/660] lr: 2.9857e-04 eta: 0:38:56 time: 1.0330 data_time: 0.0194 memory: 22681 loss: 1.9027 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9027 2022/10/30 18:08:30 - mmengine - INFO - Epoch(train) [97][420/660] lr: 2.9764e-04 eta: 0:38:35 time: 1.0527 data_time: 0.0242 memory: 22681 loss: 1.7793 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7793 2022/10/30 18:08:51 - mmengine - INFO - Epoch(train) [97][440/660] lr: 2.9672e-04 eta: 0:38:14 time: 1.0425 data_time: 0.0196 memory: 22681 loss: 1.7447 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7447 2022/10/30 18:09:12 - mmengine - INFO - Epoch(train) [97][460/660] lr: 2.9580e-04 eta: 0:37:53 time: 1.0305 data_time: 0.0196 memory: 22681 loss: 1.7700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7700 2022/10/30 18:09:32 - mmengine - INFO - Epoch(train) [97][480/660] lr: 2.9488e-04 eta: 0:37:32 time: 1.0337 data_time: 0.0200 memory: 22681 loss: 1.7944 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7944 2022/10/30 18:09:53 - mmengine - INFO - Epoch(train) [97][500/660] lr: 2.9397e-04 eta: 0:37:11 time: 1.0505 data_time: 0.0264 memory: 22681 loss: 1.8343 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8343 2022/10/30 18:10:14 - mmengine - INFO - Epoch(train) [97][520/660] lr: 2.9306e-04 eta: 0:36:51 time: 1.0385 data_time: 0.0192 memory: 22681 loss: 1.8788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8788 2022/10/30 18:10:35 - mmengine - INFO - Epoch(train) [97][540/660] lr: 2.9216e-04 eta: 0:36:30 time: 1.0341 data_time: 0.0210 memory: 22681 loss: 1.9510 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9510 2022/10/30 18:10:56 - mmengine - INFO - Epoch(train) [97][560/660] lr: 2.9126e-04 eta: 0:36:09 time: 1.0405 data_time: 0.0234 memory: 22681 loss: 2.0065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0065 2022/10/30 18:11:17 - mmengine - INFO - Epoch(train) [97][580/660] lr: 2.9037e-04 eta: 0:35:48 time: 1.0498 data_time: 0.0236 memory: 22681 loss: 1.8177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8177 2022/10/30 18:11:37 - mmengine - INFO - Epoch(train) [97][600/660] lr: 2.8948e-04 eta: 0:35:27 time: 1.0398 data_time: 0.0204 memory: 22681 loss: 1.7890 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7890 2022/10/30 18:11:58 - mmengine - INFO - Epoch(train) [97][620/660] lr: 2.8859e-04 eta: 0:35:06 time: 1.0315 data_time: 0.0198 memory: 22681 loss: 1.9065 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9065 2022/10/30 18:12:19 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 18:12:19 - mmengine - INFO - Epoch(train) [97][640/660] lr: 2.8771e-04 eta: 0:34:45 time: 1.0295 data_time: 0.0193 memory: 22681 loss: 1.7600 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7600 2022/10/30 18:12:39 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 18:12:39 - mmengine - INFO - Epoch(train) [97][660/660] lr: 2.8684e-04 eta: 0:34:24 time: 1.0232 data_time: 0.0203 memory: 22681 loss: 1.9289 top1_acc: 0.9286 top5_acc: 1.0000 loss_cls: 1.9289 2022/10/30 18:12:42 - mmengine - INFO - Epoch(val) [97][20/194] eta: 0:00:23 time: 0.1327 data_time: 0.0303 memory: 2517 2022/10/30 18:12:44 - mmengine - INFO - Epoch(val) [97][40/194] eta: 0:00:16 time: 0.1082 data_time: 0.0074 memory: 2517 2022/10/30 18:12:46 - mmengine - INFO - Epoch(val) [97][60/194] eta: 0:00:14 time: 0.1078 data_time: 0.0069 memory: 2517 2022/10/30 18:12:48 - mmengine - INFO - Epoch(val) [97][80/194] eta: 0:00:12 time: 0.1081 data_time: 0.0073 memory: 2517 2022/10/30 18:12:50 - mmengine - INFO - Epoch(val) [97][100/194] eta: 0:00:10 time: 0.1076 data_time: 0.0070 memory: 2517 2022/10/30 18:12:53 - mmengine - INFO - Epoch(val) [97][120/194] eta: 0:00:07 time: 0.1081 data_time: 0.0071 memory: 2517 2022/10/30 18:12:55 - mmengine - INFO - Epoch(val) [97][140/194] eta: 0:00:05 time: 0.1085 data_time: 0.0073 memory: 2517 2022/10/30 18:12:57 - mmengine - INFO - Epoch(val) [97][160/194] eta: 0:00:03 time: 0.1083 data_time: 0.0070 memory: 2517 2022/10/30 18:12:59 - mmengine - INFO - Epoch(val) [97][180/194] eta: 0:00:01 time: 0.1080 data_time: 0.0072 memory: 2517 2022/10/30 18:13:06 - mmengine - INFO - Epoch(val) [97][194/194] acc/top1: 0.6694 acc/top5: 0.9087 acc/mean1: 0.6063 2022/10/30 18:13:35 - mmengine - INFO - Epoch(train) [98][20/660] lr: 2.8596e-04 eta: 0:34:04 time: 1.4707 data_time: 0.3141 memory: 22681 loss: 1.7600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7600 2022/10/30 18:13:55 - mmengine - INFO - Epoch(train) [98][40/660] lr: 2.8510e-04 eta: 0:33:43 time: 1.0238 data_time: 0.0200 memory: 22681 loss: 1.7432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7432 2022/10/30 18:14:16 - mmengine - INFO - Epoch(train) [98][60/660] lr: 2.8423e-04 eta: 0:33:22 time: 1.0255 data_time: 0.0207 memory: 22681 loss: 1.8996 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8996 2022/10/30 18:14:37 - mmengine - INFO - Epoch(train) [98][80/660] lr: 2.8337e-04 eta: 0:33:01 time: 1.0306 data_time: 0.0221 memory: 22681 loss: 2.0089 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0089 2022/10/30 18:14:57 - mmengine - INFO - Epoch(train) [98][100/660] lr: 2.8252e-04 eta: 0:32:40 time: 1.0439 data_time: 0.0203 memory: 22681 loss: 2.0381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0381 2022/10/30 18:15:18 - mmengine - INFO - Epoch(train) [98][120/660] lr: 2.8167e-04 eta: 0:32:20 time: 1.0341 data_time: 0.0203 memory: 22681 loss: 1.8675 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8675 2022/10/30 18:15:39 - mmengine - INFO - Epoch(train) [98][140/660] lr: 2.8082e-04 eta: 0:31:59 time: 1.0288 data_time: 0.0195 memory: 22681 loss: 1.7973 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7973 2022/10/30 18:15:59 - mmengine - INFO - Epoch(train) [98][160/660] lr: 2.7998e-04 eta: 0:31:38 time: 1.0366 data_time: 0.0235 memory: 22681 loss: 1.9105 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9105 2022/10/30 18:16:20 - mmengine - INFO - Epoch(train) [98][180/660] lr: 2.7914e-04 eta: 0:31:17 time: 1.0534 data_time: 0.0215 memory: 22681 loss: 1.8339 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8339 2022/10/30 18:16:41 - mmengine - INFO - Epoch(train) [98][200/660] lr: 2.7831e-04 eta: 0:30:56 time: 1.0392 data_time: 0.0197 memory: 22681 loss: 1.8376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8376 2022/10/30 18:17:02 - mmengine - INFO - Epoch(train) [98][220/660] lr: 2.7748e-04 eta: 0:30:35 time: 1.0292 data_time: 0.0190 memory: 22681 loss: 1.8258 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8258 2022/10/30 18:17:23 - mmengine - INFO - Epoch(train) [98][240/660] lr: 2.7666e-04 eta: 0:30:14 time: 1.0354 data_time: 0.0236 memory: 22681 loss: 1.9207 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9207 2022/10/30 18:17:43 - mmengine - INFO - Epoch(train) [98][260/660] lr: 2.7584e-04 eta: 0:29:54 time: 1.0459 data_time: 0.0205 memory: 22681 loss: 2.0143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0143 2022/10/30 18:18:04 - mmengine - INFO - Epoch(train) [98][280/660] lr: 2.7502e-04 eta: 0:29:33 time: 1.0440 data_time: 0.0195 memory: 22681 loss: 1.8392 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8392 2022/10/30 18:18:25 - mmengine - INFO - Epoch(train) [98][300/660] lr: 2.7421e-04 eta: 0:29:12 time: 1.0383 data_time: 0.0186 memory: 22681 loss: 1.8121 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8121 2022/10/30 18:18:46 - mmengine - INFO - Epoch(train) [98][320/660] lr: 2.7341e-04 eta: 0:28:51 time: 1.0418 data_time: 0.0229 memory: 22681 loss: 1.8602 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8602 2022/10/30 18:19:07 - mmengine - INFO - Epoch(train) [98][340/660] lr: 2.7260e-04 eta: 0:28:30 time: 1.0514 data_time: 0.0196 memory: 22681 loss: 1.8122 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8122 2022/10/30 18:19:28 - mmengine - INFO - Epoch(train) [98][360/660] lr: 2.7181e-04 eta: 0:28:09 time: 1.0441 data_time: 0.0200 memory: 22681 loss: 1.9302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9302 2022/10/30 18:19:49 - mmengine - INFO - Epoch(train) [98][380/660] lr: 2.7101e-04 eta: 0:27:48 time: 1.0358 data_time: 0.0186 memory: 22681 loss: 1.8298 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8298 2022/10/30 18:20:09 - mmengine - INFO - Epoch(train) [98][400/660] lr: 2.7022e-04 eta: 0:27:27 time: 1.0392 data_time: 0.0232 memory: 22681 loss: 1.9412 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9412 2022/10/30 18:20:30 - mmengine - INFO - Epoch(train) [98][420/660] lr: 2.6944e-04 eta: 0:27:07 time: 1.0491 data_time: 0.0224 memory: 22681 loss: 1.6954 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6954 2022/10/30 18:20:51 - mmengine - INFO - Epoch(train) [98][440/660] lr: 2.6866e-04 eta: 0:26:46 time: 1.0506 data_time: 0.0199 memory: 22681 loss: 1.7804 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7804 2022/10/30 18:21:12 - mmengine - INFO - Epoch(train) [98][460/660] lr: 2.6788e-04 eta: 0:26:25 time: 1.0426 data_time: 0.0210 memory: 22681 loss: 2.0044 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0044 2022/10/30 18:21:33 - mmengine - INFO - Epoch(train) [98][480/660] lr: 2.6711e-04 eta: 0:26:04 time: 1.0466 data_time: 0.0235 memory: 22681 loss: 1.7867 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7867 2022/10/30 18:21:54 - mmengine - INFO - Epoch(train) [98][500/660] lr: 2.6634e-04 eta: 0:25:43 time: 1.0579 data_time: 0.0199 memory: 22681 loss: 1.8429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8429 2022/10/30 18:22:15 - mmengine - INFO - Epoch(train) [98][520/660] lr: 2.6558e-04 eta: 0:25:22 time: 1.0574 data_time: 0.0193 memory: 22681 loss: 1.9010 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9010 2022/10/30 18:22:36 - mmengine - INFO - Epoch(train) [98][540/660] lr: 2.6482e-04 eta: 0:25:01 time: 1.0449 data_time: 0.0186 memory: 22681 loss: 1.8416 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8416 2022/10/30 18:22:57 - mmengine - INFO - Epoch(train) [98][560/660] lr: 2.6407e-04 eta: 0:24:41 time: 1.0452 data_time: 0.0241 memory: 22681 loss: 1.8077 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8077 2022/10/30 18:23:19 - mmengine - INFO - Epoch(train) [98][580/660] lr: 2.6332e-04 eta: 0:24:20 time: 1.0602 data_time: 0.0181 memory: 22681 loss: 1.9790 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9790 2022/10/30 18:23:40 - mmengine - INFO - Epoch(train) [98][600/660] lr: 2.6257e-04 eta: 0:23:59 time: 1.0614 data_time: 0.0199 memory: 22681 loss: 1.8482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8482 2022/10/30 18:24:01 - mmengine - INFO - Epoch(train) [98][620/660] lr: 2.6183e-04 eta: 0:23:38 time: 1.0458 data_time: 0.0220 memory: 22681 loss: 1.8419 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8419 2022/10/30 18:24:22 - mmengine - INFO - Epoch(train) [98][640/660] lr: 2.6110e-04 eta: 0:23:17 time: 1.0521 data_time: 0.0247 memory: 22681 loss: 1.7628 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7628 2022/10/30 18:24:42 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 18:24:42 - mmengine - INFO - Epoch(train) [98][660/660] lr: 2.6036e-04 eta: 0:22:56 time: 1.0254 data_time: 0.0189 memory: 22681 loss: 1.7724 top1_acc: 0.7143 top5_acc: 0.7857 loss_cls: 1.7724 2022/10/30 18:24:45 - mmengine - INFO - Epoch(val) [98][20/194] eta: 0:00:23 time: 0.1353 data_time: 0.0329 memory: 2517 2022/10/30 18:24:47 - mmengine - INFO - Epoch(val) [98][40/194] eta: 0:00:16 time: 0.1093 data_time: 0.0080 memory: 2517 2022/10/30 18:24:49 - mmengine - INFO - Epoch(val) [98][60/194] eta: 0:00:14 time: 0.1091 data_time: 0.0079 memory: 2517 2022/10/30 18:24:51 - mmengine - INFO - Epoch(val) [98][80/194] eta: 0:00:12 time: 0.1078 data_time: 0.0072 memory: 2517 2022/10/30 18:24:54 - mmengine - INFO - Epoch(val) [98][100/194] eta: 0:00:10 time: 0.1081 data_time: 0.0071 memory: 2517 2022/10/30 18:24:56 - mmengine - INFO - Epoch(val) [98][120/194] eta: 0:00:07 time: 0.1081 data_time: 0.0072 memory: 2517 2022/10/30 18:24:58 - mmengine - INFO - Epoch(val) [98][140/194] eta: 0:00:05 time: 0.1086 data_time: 0.0077 memory: 2517 2022/10/30 18:25:00 - mmengine - INFO - Epoch(val) [98][160/194] eta: 0:00:03 time: 0.1082 data_time: 0.0076 memory: 2517 2022/10/30 18:25:02 - mmengine - INFO - Epoch(val) [98][180/194] eta: 0:00:01 time: 0.1092 data_time: 0.0081 memory: 2517 2022/10/30 18:25:10 - mmengine - INFO - Epoch(val) [98][194/194] acc/top1: 0.6702 acc/top5: 0.9089 acc/mean1: 0.6069 2022/10/30 18:25:39 - mmengine - INFO - Epoch(train) [99][20/660] lr: 2.5964e-04 eta: 0:22:36 time: 1.4303 data_time: 0.2431 memory: 22681 loss: 1.7813 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7813 2022/10/30 18:25:59 - mmengine - INFO - Epoch(train) [99][40/660] lr: 2.5891e-04 eta: 0:22:15 time: 1.0235 data_time: 0.0200 memory: 22681 loss: 1.8616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8616 2022/10/30 18:26:20 - mmengine - INFO - Epoch(train) [99][60/660] lr: 2.5819e-04 eta: 0:21:54 time: 1.0263 data_time: 0.0192 memory: 22681 loss: 1.8072 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8072 2022/10/30 18:26:40 - mmengine - INFO - Epoch(train) [99][80/660] lr: 2.5748e-04 eta: 0:21:33 time: 1.0239 data_time: 0.0195 memory: 22681 loss: 1.8491 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8491 2022/10/30 18:27:01 - mmengine - INFO - Epoch(train) [99][100/660] lr: 2.5677e-04 eta: 0:21:12 time: 1.0391 data_time: 0.0262 memory: 22681 loss: 1.7757 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7757 2022/10/30 18:27:22 - mmengine - INFO - Epoch(train) [99][120/660] lr: 2.5606e-04 eta: 0:20:51 time: 1.0267 data_time: 0.0190 memory: 22681 loss: 1.8419 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8419 2022/10/30 18:27:42 - mmengine - INFO - Epoch(train) [99][140/660] lr: 2.5536e-04 eta: 0:20:30 time: 1.0304 data_time: 0.0204 memory: 22681 loss: 1.7531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7531 2022/10/30 18:28:03 - mmengine - INFO - Epoch(train) [99][160/660] lr: 2.5466e-04 eta: 0:20:10 time: 1.0243 data_time: 0.0204 memory: 22681 loss: 1.9218 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9218 2022/10/30 18:28:23 - mmengine - INFO - Epoch(train) [99][180/660] lr: 2.5397e-04 eta: 0:19:49 time: 1.0404 data_time: 0.0241 memory: 22681 loss: 1.7910 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7910 2022/10/30 18:28:44 - mmengine - INFO - Epoch(train) [99][200/660] lr: 2.5328e-04 eta: 0:19:28 time: 1.0299 data_time: 0.0188 memory: 22681 loss: 1.8719 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8719 2022/10/30 18:29:05 - mmengine - INFO - Epoch(train) [99][220/660] lr: 2.5260e-04 eta: 0:19:07 time: 1.0278 data_time: 0.0208 memory: 22681 loss: 1.8793 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8793 2022/10/30 18:29:25 - mmengine - INFO - Epoch(train) [99][240/660] lr: 2.5192e-04 eta: 0:18:46 time: 1.0250 data_time: 0.0192 memory: 22681 loss: 1.7587 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7587 2022/10/30 18:29:46 - mmengine - INFO - Epoch(train) [99][260/660] lr: 2.5125e-04 eta: 0:18:25 time: 1.0395 data_time: 0.0258 memory: 22681 loss: 1.7953 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7953 2022/10/30 18:30:06 - mmengine - INFO - Epoch(train) [99][280/660] lr: 2.5057e-04 eta: 0:18:04 time: 1.0280 data_time: 0.0194 memory: 22681 loss: 1.9158 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9158 2022/10/30 18:30:27 - mmengine - INFO - Epoch(train) [99][300/660] lr: 2.4991e-04 eta: 0:17:43 time: 1.0279 data_time: 0.0192 memory: 22681 loss: 1.9225 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9225 2022/10/30 18:30:48 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 18:30:48 - mmengine - INFO - Epoch(train) [99][320/660] lr: 2.4925e-04 eta: 0:17:23 time: 1.0262 data_time: 0.0197 memory: 22681 loss: 1.8974 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8974 2022/10/30 18:31:09 - mmengine - INFO - Epoch(train) [99][340/660] lr: 2.4859e-04 eta: 0:17:02 time: 1.0508 data_time: 0.0246 memory: 22681 loss: 1.8326 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8326 2022/10/30 18:31:29 - mmengine - INFO - Epoch(train) [99][360/660] lr: 2.4794e-04 eta: 0:16:41 time: 1.0319 data_time: 0.0189 memory: 22681 loss: 1.9366 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9366 2022/10/30 18:31:50 - mmengine - INFO - Epoch(train) [99][380/660] lr: 2.4729e-04 eta: 0:16:20 time: 1.0334 data_time: 0.0202 memory: 22681 loss: 1.8724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8724 2022/10/30 18:32:10 - mmengine - INFO - Epoch(train) [99][400/660] lr: 2.4664e-04 eta: 0:15:59 time: 1.0296 data_time: 0.0201 memory: 22681 loss: 1.7686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7686 2022/10/30 18:32:31 - mmengine - INFO - Epoch(train) [99][420/660] lr: 2.4600e-04 eta: 0:15:38 time: 1.0418 data_time: 0.0253 memory: 22681 loss: 1.8195 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8195 2022/10/30 18:32:52 - mmengine - INFO - Epoch(train) [99][440/660] lr: 2.4537e-04 eta: 0:15:17 time: 1.0318 data_time: 0.0196 memory: 22681 loss: 1.9161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9161 2022/10/30 18:33:13 - mmengine - INFO - Epoch(train) [99][460/660] lr: 2.4474e-04 eta: 0:14:57 time: 1.0341 data_time: 0.0181 memory: 22681 loss: 1.7749 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7749 2022/10/30 18:33:33 - mmengine - INFO - Epoch(train) [99][480/660] lr: 2.4411e-04 eta: 0:14:36 time: 1.0334 data_time: 0.0187 memory: 22681 loss: 1.8764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8764 2022/10/30 18:33:54 - mmengine - INFO - Epoch(train) [99][500/660] lr: 2.4349e-04 eta: 0:14:15 time: 1.0444 data_time: 0.0245 memory: 22681 loss: 1.6674 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6674 2022/10/30 18:34:15 - mmengine - INFO - Epoch(train) [99][520/660] lr: 2.4287e-04 eta: 0:13:54 time: 1.0317 data_time: 0.0194 memory: 22681 loss: 1.7456 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7456 2022/10/30 18:34:35 - mmengine - INFO - Epoch(train) [99][540/660] lr: 2.4226e-04 eta: 0:13:33 time: 1.0334 data_time: 0.0193 memory: 22681 loss: 1.8180 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8180 2022/10/30 18:34:56 - mmengine - INFO - Epoch(train) [99][560/660] lr: 2.4165e-04 eta: 0:13:12 time: 1.0294 data_time: 0.0188 memory: 22681 loss: 1.7531 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7531 2022/10/30 18:35:17 - mmengine - INFO - Epoch(train) [99][580/660] lr: 2.4104e-04 eta: 0:12:51 time: 1.0458 data_time: 0.0229 memory: 22681 loss: 1.9355 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9355 2022/10/30 18:35:38 - mmengine - INFO - Epoch(train) [99][600/660] lr: 2.4044e-04 eta: 0:12:31 time: 1.0347 data_time: 0.0189 memory: 22681 loss: 1.7993 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7993 2022/10/30 18:35:58 - mmengine - INFO - Epoch(train) [99][620/660] lr: 2.3985e-04 eta: 0:12:10 time: 1.0342 data_time: 0.0199 memory: 22681 loss: 1.7949 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7949 2022/10/30 18:36:19 - mmengine - INFO - Epoch(train) [99][640/660] lr: 2.3925e-04 eta: 0:11:49 time: 1.0243 data_time: 0.0195 memory: 22681 loss: 1.8561 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8561 2022/10/30 18:36:39 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 18:36:39 - mmengine - INFO - Epoch(train) [99][660/660] lr: 2.3867e-04 eta: 0:11:28 time: 1.0190 data_time: 0.0207 memory: 22681 loss: 1.8835 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8835 2022/10/30 18:36:39 - mmengine - INFO - Saving checkpoint at 99 epochs 2022/10/30 18:36:43 - mmengine - INFO - Epoch(val) [99][20/194] eta: 0:00:22 time: 0.1269 data_time: 0.0245 memory: 2517 2022/10/30 18:36:45 - mmengine - INFO - Epoch(val) [99][40/194] eta: 0:00:16 time: 0.1096 data_time: 0.0076 memory: 2517 2022/10/30 18:36:47 - mmengine - INFO - Epoch(val) [99][60/194] eta: 0:00:14 time: 0.1087 data_time: 0.0074 memory: 2517 2022/10/30 18:36:50 - mmengine - INFO - Epoch(val) [99][80/194] eta: 0:00:12 time: 0.1079 data_time: 0.0073 memory: 2517 2022/10/30 18:36:52 - mmengine - INFO - Epoch(val) [99][100/194] eta: 0:00:10 time: 0.1079 data_time: 0.0072 memory: 2517 2022/10/30 18:36:54 - mmengine - INFO - Epoch(val) [99][120/194] eta: 0:00:08 time: 0.1093 data_time: 0.0077 memory: 2517 2022/10/30 18:36:56 - mmengine - INFO - Epoch(val) [99][140/194] eta: 0:00:05 time: 0.1082 data_time: 0.0072 memory: 2517 2022/10/30 18:36:58 - mmengine - INFO - Epoch(val) [99][160/194] eta: 0:00:03 time: 0.1079 data_time: 0.0070 memory: 2517 2022/10/30 18:37:00 - mmengine - INFO - Epoch(val) [99][180/194] eta: 0:00:01 time: 0.1079 data_time: 0.0072 memory: 2517 2022/10/30 18:37:03 - mmengine - INFO - Epoch(val) [99][194/194] acc/top1: 0.6712 acc/top5: 0.9090 acc/mean1: 0.6090 2022/10/30 18:37:03 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/lilin/Repos/mmact_dev/mmaction2/work_dirs/mvit-small_16x4x1-100e_sthv2-rgb_train_dp0.2_fix_init_gpu16_bz256_wo_mixup/best_acc/top1_epoch_92.pth is removed 2022/10/30 18:37:04 - mmengine - INFO - The best checkpoint with 0.6712 acc/top1 at 99 epoch is saved to best_acc/top1_epoch_99.pth. 2022/10/30 18:37:34 - mmengine - INFO - Epoch(train) [100][20/660] lr: 2.3808e-04 eta: 0:11:07 time: 1.4631 data_time: 0.1850 memory: 22681 loss: 1.7425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7425 2022/10/30 18:37:54 - mmengine - INFO - Epoch(train) [100][40/660] lr: 2.3751e-04 eta: 0:10:46 time: 1.0227 data_time: 0.0200 memory: 22681 loss: 1.8925 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8925 2022/10/30 18:38:14 - mmengine - INFO - Epoch(train) [100][60/660] lr: 2.3693e-04 eta: 0:10:25 time: 1.0229 data_time: 0.0187 memory: 22681 loss: 1.7037 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7037 2022/10/30 18:38:35 - mmengine - INFO - Epoch(train) [100][80/660] lr: 2.3636e-04 eta: 0:10:05 time: 1.0335 data_time: 0.0185 memory: 22681 loss: 1.8045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8045 2022/10/30 18:38:56 - mmengine - INFO - Epoch(train) [100][100/660] lr: 2.3580e-04 eta: 0:09:44 time: 1.0394 data_time: 0.0220 memory: 22681 loss: 1.8887 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8887 2022/10/30 18:39:17 - mmengine - INFO - Epoch(train) [100][120/660] lr: 2.3524e-04 eta: 0:09:23 time: 1.0325 data_time: 0.0233 memory: 22681 loss: 1.9369 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9369 2022/10/30 18:39:37 - mmengine - INFO - Epoch(train) [100][140/660] lr: 2.3468e-04 eta: 0:09:02 time: 1.0259 data_time: 0.0181 memory: 22681 loss: 1.8645 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8645 2022/10/30 18:39:58 - mmengine - INFO - Epoch(train) [100][160/660] lr: 2.3413e-04 eta: 0:08:41 time: 1.0301 data_time: 0.0187 memory: 22681 loss: 1.7465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7465 2022/10/30 18:40:18 - mmengine - INFO - Epoch(train) [100][180/660] lr: 2.3358e-04 eta: 0:08:20 time: 1.0370 data_time: 0.0194 memory: 22681 loss: 1.9164 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9164 2022/10/30 18:40:39 - mmengine - INFO - Epoch(train) [100][200/660] lr: 2.3304e-04 eta: 0:07:59 time: 1.0324 data_time: 0.0233 memory: 22681 loss: 1.9089 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9089 2022/10/30 18:41:00 - mmengine - INFO - Epoch(train) [100][220/660] lr: 2.3250e-04 eta: 0:07:38 time: 1.0387 data_time: 0.0205 memory: 22681 loss: 1.7890 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7890 2022/10/30 18:41:21 - mmengine - INFO - Epoch(train) [100][240/660] lr: 2.3197e-04 eta: 0:07:18 time: 1.0350 data_time: 0.0194 memory: 22681 loss: 1.9304 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9304 2022/10/30 18:41:41 - mmengine - INFO - Epoch(train) [100][260/660] lr: 2.3144e-04 eta: 0:06:57 time: 1.0417 data_time: 0.0192 memory: 22681 loss: 1.7926 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7926 2022/10/30 18:42:02 - mmengine - INFO - Epoch(train) [100][280/660] lr: 2.3091e-04 eta: 0:06:36 time: 1.0371 data_time: 0.0239 memory: 22681 loss: 1.8444 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8444 2022/10/30 18:42:23 - mmengine - INFO - Epoch(train) [100][300/660] lr: 2.3039e-04 eta: 0:06:15 time: 1.0358 data_time: 0.0187 memory: 22681 loss: 1.9129 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9129 2022/10/30 18:42:44 - mmengine - INFO - Epoch(train) [100][320/660] lr: 2.2987e-04 eta: 0:05:54 time: 1.0377 data_time: 0.0189 memory: 22681 loss: 1.8407 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8407 2022/10/30 18:43:05 - mmengine - INFO - Epoch(train) [100][340/660] lr: 2.2936e-04 eta: 0:05:33 time: 1.0445 data_time: 0.0202 memory: 22681 loss: 1.8343 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8343 2022/10/30 18:43:25 - mmengine - INFO - Epoch(train) [100][360/660] lr: 2.2885e-04 eta: 0:05:12 time: 1.0363 data_time: 0.0233 memory: 22681 loss: 1.8088 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8088 2022/10/30 18:43:46 - mmengine - INFO - Epoch(train) [100][380/660] lr: 2.2835e-04 eta: 0:04:52 time: 1.0336 data_time: 0.0191 memory: 22681 loss: 1.8119 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8119 2022/10/30 18:44:07 - mmengine - INFO - Epoch(train) [100][400/660] lr: 2.2785e-04 eta: 0:04:31 time: 1.0459 data_time: 0.0227 memory: 22681 loss: 1.9125 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9125 2022/10/30 18:44:28 - mmengine - INFO - Epoch(train) [100][420/660] lr: 2.2736e-04 eta: 0:04:10 time: 1.0518 data_time: 0.0230 memory: 22681 loss: 1.8984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8984 2022/10/30 18:44:49 - mmengine - INFO - Epoch(train) [100][440/660] lr: 2.2687e-04 eta: 0:03:49 time: 1.0372 data_time: 0.0194 memory: 22681 loss: 1.7665 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7665 2022/10/30 18:45:09 - mmengine - INFO - Epoch(train) [100][460/660] lr: 2.2638e-04 eta: 0:03:28 time: 1.0368 data_time: 0.0182 memory: 22681 loss: 1.7692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7692 2022/10/30 18:45:30 - mmengine - INFO - Epoch(train) [100][480/660] lr: 2.2590e-04 eta: 0:03:07 time: 1.0378 data_time: 0.0226 memory: 22681 loss: 1.9611 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9611 2022/10/30 18:45:51 - mmengine - INFO - Epoch(train) [100][500/660] lr: 2.2542e-04 eta: 0:02:46 time: 1.0442 data_time: 0.0230 memory: 22681 loss: 1.8634 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8634 2022/10/30 18:46:12 - mmengine - INFO - Epoch(train) [100][520/660] lr: 2.2495e-04 eta: 0:02:26 time: 1.0361 data_time: 0.0189 memory: 22681 loss: 1.8025 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8025 2022/10/30 18:46:32 - mmengine - INFO - Epoch(train) [100][540/660] lr: 2.2448e-04 eta: 0:02:05 time: 1.0362 data_time: 0.0186 memory: 22681 loss: 1.8592 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8592 2022/10/30 18:46:53 - mmengine - INFO - Epoch(train) [100][560/660] lr: 2.2402e-04 eta: 0:01:44 time: 1.0350 data_time: 0.0192 memory: 22681 loss: 1.7433 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7433 2022/10/30 18:47:14 - mmengine - INFO - Epoch(train) [100][580/660] lr: 2.2356e-04 eta: 0:01:23 time: 1.0446 data_time: 0.0234 memory: 22681 loss: 1.8252 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8252 2022/10/30 18:47:35 - mmengine - INFO - Epoch(train) [100][600/660] lr: 2.2311e-04 eta: 0:01:02 time: 1.0328 data_time: 0.0194 memory: 22681 loss: 1.9565 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9565 2022/10/30 18:47:55 - mmengine - INFO - Epoch(train) [100][620/660] lr: 2.2266e-04 eta: 0:00:41 time: 1.0306 data_time: 0.0187 memory: 22681 loss: 1.9021 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9021 2022/10/30 18:48:16 - mmengine - INFO - Epoch(train) [100][640/660] lr: 2.2221e-04 eta: 0:00:20 time: 1.0335 data_time: 0.0194 memory: 22681 loss: 1.8930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8930 2022/10/30 18:48:36 - mmengine - INFO - Exp name: mvit-small-p244_u16_sthv2-rgb_train_wo_mixup_20221029_225956 2022/10/30 18:48:36 - mmengine - INFO - Epoch(train) [100][660/660] lr: 2.2177e-04 eta: 0:00:00 time: 1.0182 data_time: 0.0195 memory: 22681 loss: 1.8917 top1_acc: 0.7857 top5_acc: 0.8571 loss_cls: 1.8917 2022/10/30 18:48:36 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/10/30 18:48:40 - mmengine - INFO - Epoch(val) [100][20/194] eta: 0:00:22 time: 0.1274 data_time: 0.0253 memory: 2517 2022/10/30 18:48:42 - mmengine - INFO - Epoch(val) [100][40/194] eta: 0:00:16 time: 0.1090 data_time: 0.0076 memory: 2517 2022/10/30 18:48:45 - mmengine - INFO - Epoch(val) [100][60/194] eta: 0:00:14 time: 0.1089 data_time: 0.0079 memory: 2517 2022/10/30 18:48:47 - mmengine - INFO - Epoch(val) [100][80/194] eta: 0:00:12 time: 0.1083 data_time: 0.0075 memory: 2517 2022/10/30 18:48:49 - mmengine - INFO - Epoch(val) [100][100/194] eta: 0:00:10 time: 0.1085 data_time: 0.0076 memory: 2517 2022/10/30 18:48:51 - mmengine - INFO - Epoch(val) [100][120/194] eta: 0:00:07 time: 0.1081 data_time: 0.0073 memory: 2517 2022/10/30 18:48:53 - mmengine - INFO - Epoch(val) [100][140/194] eta: 0:00:05 time: 0.1086 data_time: 0.0076 memory: 2517 2022/10/30 18:48:55 - mmengine - INFO - Epoch(val) [100][160/194] eta: 0:00:03 time: 0.1081 data_time: 0.0074 memory: 2517 2022/10/30 18:48:58 - mmengine - INFO - Epoch(val) [100][180/194] eta: 0:00:01 time: 0.1075 data_time: 0.0070 memory: 2517 2022/10/30 18:49:03 - mmengine - INFO - Epoch(val) [100][194/194] acc/top1: 0.6702 acc/top5: 0.9093 acc/mean1: 0.6076