2023/07/30 11:01:19 - mmengine - INFO - 
------------------------------------------------------------
System environment:
    sys.platform: linux
    Python: 3.9.13 (main, Aug 25 2022, 23:26:10) [GCC 11.2.0]
    CUDA available: True
    numpy_random_seed: 452986165
    GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB
    CUDA_HOME: /mnt/petrelfs/share/cuda-11.3
    NVCC: Cuda compilation tools, release 11.3, V11.3.109
    GCC: gcc (GCC) 5.4.0
    PyTorch: 1.11.0
    PyTorch compiling details: PyTorch built with:
  - GCC 7.3
  - C++ Version: 201402
  - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 11.3
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37
  - CuDNN 8.2
  - Magma 2.5.2
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 

    TorchVision: 0.12.0
    OpenCV: 4.6.0
    MMEngine: 0.8.2

Runtime environment:
    cudnn_benchmark: False
    mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0}
    dist_cfg: {'backend': 'nccl'}
    seed: 452986165
    diff_rank_seed: False
    deterministic: False
    Distributed launcher: pytorch
    Distributed training: True
    GPU number: 8
------------------------------------------------------------

2023/07/30 11:01:20 - mmengine - INFO - Config:
ann_file_test = 'data/kinetics400/kinetics400_val_list_videos.txt'
ann_file_train = 'data/kinetics400/kinetics400_train_list_videos.txt'
ann_file_val = 'data/kinetics400/kinetics400_val_list_videos.txt'
auto_scale_lr = dict(base_batch_size=128, enable=False)
custom_imports = dict(imports='models')
data_root = 'data/kinetics400/videos_train'
data_root_val = 'data/kinetics400/videos_val'
dataset_type = 'VideoDataset'
default_hooks = dict(
    checkpoint=dict(
        interval=1, max_keep_ckpts=5, save_best='auto', type='CheckpointHook'),
    logger=dict(ignore_last=False, interval=100, type='LoggerHook'),
    param_scheduler=dict(type='ParamSchedulerHook'),
    runtime_info=dict(type='RuntimeInfoHook'),
    sampler_seed=dict(type='DistSamplerSeedHook'),
    sync_buffers=dict(type='SyncBuffersHook'),
    timer=dict(type='IterTimerHook'))
default_scope = 'mmaction'
env_cfg = dict(
    cudnn_benchmark=False,
    dist_cfg=dict(backend='nccl'),
    mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0))
file_client_args = dict(
    io_backend='petrel',
    path_mapping=dict(
        {'data/kinetics400/': 's3://openmmlab/datasets/action/Kinetics400/'}))
launcher = 'pytorch'
load_from = None
log_level = 'INFO'
log_processor = dict(by_epoch=True, type='LogProcessor', window_size=20)
model = dict(
    clip_arch='ViT-B/32',
    data_preprocessor=dict(
        format_shape='NCHW',
        mean=[
            122.771,
            116.746,
            104.093,
        ],
        std=[
            68.5,
            66.632,
            70.323,
        ],
        type='ActionDataPreprocessor'),
    labels_or_label_file='configs/label_map_k400.txt',
    num_adapter_layers=6,
    num_adapter_segs=8,
    to_float32=True,
    type='ActionClip')
num_segs = 8
optim_wrapper = dict(
    optimizer=dict(
        betas=(
            0.9,
            0.98,
        ),
        eps=1e-08,
        lr=5e-06,
        type='AdamW',
        weight_decay=0.2),
    paramwise_cfg=dict(custom_keys=dict(adapter=dict(lr_mult=10))))
param_scheduler = [
    dict(
        begin=0,
        by_epoch=True,
        convert_to_iter_based=True,
        end=5,
        start_factor=0.01,
        type='LinearLR'),
    dict(
        T_max=45,
        begin=5,
        by_epoch=True,
        convert_to_iter_based=True,
        end=50,
        eta_min=0,
        type='CosineAnnealingLR'),
]
randomness = dict(deterministic=False, diff_rank_seed=False, seed=None)
resume = False
test_cfg = dict(type='TestLoop')
test_dataloader = dict(
    batch_size=1,
    dataset=dict(
        ann_file='data/kinetics400/kinetics400_val_list_videos.txt',
        data_prefix=dict(video='data/kinetics400/videos_val'),
        pipeline=[
            dict(
                io_backend='petrel',
                path_mapping=dict({
                    'data/kinetics400/':
                    's3://openmmlab/datasets/action/Kinetics400/'
                }),
                type='DecordInit'),
            dict(
                clip_len=1,
                frame_interval=1,
                num_clips=8,
                test_mode=True,
                type='SampleFrames'),
            dict(type='DecordDecode'),
            dict(scale=(
                -1,
                256,
            ), type='Resize'),
            dict(crop_size=224, type='CenterCrop'),
            dict(input_format='NCHW', type='FormatShape'),
            dict(type='PackActionInputs'),
        ],
        test_mode=True,
        type='VideoDataset'),
    num_workers=16,
    persistent_workers=True,
    sampler=dict(shuffle=False, type='DefaultSampler'))
test_evaluator = dict(type='AccMetric')
test_pipeline = [
    dict(
        io_backend='petrel',
        path_mapping=dict({
            'data/kinetics400/':
            's3://openmmlab/datasets/action/Kinetics400/'
        }),
        type='DecordInit'),
    dict(
        clip_len=1,
        frame_interval=1,
        num_clips=8,
        test_mode=True,
        type='SampleFrames'),
    dict(type='DecordDecode'),
    dict(scale=(
        -1,
        256,
    ), type='Resize'),
    dict(crop_size=224, type='CenterCrop'),
    dict(input_format='NCHW', type='FormatShape'),
    dict(type='PackActionInputs'),
]
train_cfg = dict(
    max_epochs=50, type='EpochBasedTrainLoop', val_begin=1, val_interval=1)
train_dataloader = dict(
    batch_size=16,
    dataset=dict(
        ann_file='data/kinetics400/kinetics400_train_list_videos.txt',
        data_prefix=dict(video='data/kinetics400/videos_train'),
        pipeline=[
            dict(
                io_backend='petrel',
                path_mapping=dict({
                    'data/kinetics400/':
                    's3://openmmlab/datasets/action/Kinetics400/'
                }),
                type='DecordInit'),
            dict(
                clip_len=1, frame_interval=1, num_clips=8,
                type='SampleFrames'),
            dict(type='DecordDecode'),
            dict(scale=(
                -1,
                256,
            ), type='Resize'),
            dict(type='RandomResizedCrop'),
            dict(
                input_size=224,
                max_wh_scale_gap=1,
                num_fixed_crops=13,
                random_crop=False,
                scales=(
                    1,
                    0.875,
                    0.75,
                    0.66,
                ),
                type='MultiScaleCrop'),
            dict(keep_ratio=False, scale=(
                224,
                224,
            ), type='Resize'),
            dict(flip_ratio=0.5, type='Flip'),
            dict(input_format='NCHW', type='FormatShape'),
            dict(type='PackActionInputs'),
        ],
        type='VideoDataset'),
    num_workers=16,
    persistent_workers=True,
    sampler=dict(shuffle=True, type='DefaultSampler'))
train_pipeline = [
    dict(
        io_backend='petrel',
        path_mapping=dict({
            'data/kinetics400/':
            's3://openmmlab/datasets/action/Kinetics400/'
        }),
        type='DecordInit'),
    dict(clip_len=1, frame_interval=1, num_clips=8, type='SampleFrames'),
    dict(type='DecordDecode'),
    dict(scale=(
        -1,
        256,
    ), type='Resize'),
    dict(type='RandomResizedCrop'),
    dict(
        input_size=224,
        max_wh_scale_gap=1,
        num_fixed_crops=13,
        random_crop=False,
        scales=(
            1,
            0.875,
            0.75,
            0.66,
        ),
        type='MultiScaleCrop'),
    dict(keep_ratio=False, scale=(
        224,
        224,
    ), type='Resize'),
    dict(flip_ratio=0.5, type='Flip'),
    dict(input_format='NCHW', type='FormatShape'),
    dict(type='PackActionInputs'),
]
val_cfg = dict(type='ValLoop')
val_dataloader = dict(
    batch_size=16,
    dataset=dict(
        ann_file='data/kinetics400/kinetics400_val_list_videos.txt',
        data_prefix=dict(video='data/kinetics400/videos_val'),
        pipeline=[
            dict(
                io_backend='petrel',
                path_mapping=dict({
                    'data/kinetics400/':
                    's3://openmmlab/datasets/action/Kinetics400/'
                }),
                type='DecordInit'),
            dict(
                clip_len=1,
                frame_interval=1,
                num_clips=8,
                test_mode=True,
                type='SampleFrames'),
            dict(type='DecordDecode'),
            dict(scale=(
                -1,
                256,
            ), type='Resize'),
            dict(crop_size=224, type='CenterCrop'),
            dict(input_format='NCHW', type='FormatShape'),
            dict(type='PackActionInputs'),
        ],
        test_mode=True,
        type='VideoDataset'),
    num_workers=16,
    persistent_workers=True,
    sampler=dict(shuffle=False, type='DefaultSampler'))
val_evaluator = dict(type='AccMetric')
val_pipeline = [
    dict(
        io_backend='petrel',
        path_mapping=dict({
            'data/kinetics400/':
            's3://openmmlab/datasets/action/Kinetics400/'
        }),
        type='DecordInit'),
    dict(
        clip_len=1,
        frame_interval=1,
        num_clips=8,
        test_mode=True,
        type='SampleFrames'),
    dict(type='DecordDecode'),
    dict(scale=(
        -1,
        256,
    ), type='Resize'),
    dict(crop_size=224, type='CenterCrop'),
    dict(input_format='NCHW', type='FormatShape'),
    dict(type='PackActionInputs'),
]
vis_backends = [
    dict(type='LocalVisBackend'),
]
visualizer = dict(
    type='ActionVisualizer', vis_backends=[
        dict(type='LocalVisBackend'),
    ])
work_dir = './work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb'

2023/07/30 11:01:33 - mmengine - INFO - Hooks will be executed in the following order:
before_run:
(VERY_HIGH   ) RuntimeInfoHook                    
(BELOW_NORMAL) LoggerHook                         
 -------------------- 
before_train:
(VERY_HIGH   ) RuntimeInfoHook                    
(NORMAL      ) IterTimerHook                      
(VERY_LOW    ) CheckpointHook                     
 -------------------- 
before_train_epoch:
(VERY_HIGH   ) RuntimeInfoHook                    
(NORMAL      ) IterTimerHook                      
(NORMAL      ) DistSamplerSeedHook                
 -------------------- 
before_train_iter:
(VERY_HIGH   ) RuntimeInfoHook                    
(NORMAL      ) IterTimerHook                      
 -------------------- 
after_train_iter:
(VERY_HIGH   ) RuntimeInfoHook                    
(NORMAL      ) IterTimerHook                      
(BELOW_NORMAL) LoggerHook                         
(LOW         ) ParamSchedulerHook                 
(VERY_LOW    ) CheckpointHook                     
 -------------------- 
after_train_epoch:
(NORMAL      ) IterTimerHook                      
(NORMAL      ) SyncBuffersHook                    
(LOW         ) ParamSchedulerHook                 
(VERY_LOW    ) CheckpointHook                     
 -------------------- 
before_val_epoch:
(NORMAL      ) IterTimerHook                      
(NORMAL      ) SyncBuffersHook                    
 -------------------- 
before_val_iter:
(NORMAL      ) IterTimerHook                      
 -------------------- 
after_val_iter:
(NORMAL      ) IterTimerHook                      
(BELOW_NORMAL) LoggerHook                         
 -------------------- 
after_val_epoch:
(VERY_HIGH   ) RuntimeInfoHook                    
(NORMAL      ) IterTimerHook                      
(BELOW_NORMAL) LoggerHook                         
(LOW         ) ParamSchedulerHook                 
(VERY_LOW    ) CheckpointHook                     
 -------------------- 
after_train:
(VERY_LOW    ) CheckpointHook                     
 -------------------- 
before_test_epoch:
(NORMAL      ) IterTimerHook                      
 -------------------- 
before_test_iter:
(NORMAL      ) IterTimerHook                      
 -------------------- 
after_test_iter:
(NORMAL      ) IterTimerHook                      
(BELOW_NORMAL) LoggerHook                         
 -------------------- 
after_test_epoch:
(VERY_HIGH   ) RuntimeInfoHook                    
(NORMAL      ) IterTimerHook                      
(BELOW_NORMAL) LoggerHook                         
 -------------------- 
after_run:
(BELOW_NORMAL) LoggerHook                         
 -------------------- 
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.frame_position_embeddings.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.frame_position_embeddings.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.frame_position_embeddings.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.attn.in_proj_weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.attn.in_proj_weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.attn.in_proj_weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.attn.in_proj_bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.attn.in_proj_bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.attn.in_proj_bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.attn.out_proj.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.attn.out_proj.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.attn.out_proj.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.attn.out_proj.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.attn.out_proj.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.attn.out_proj.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.ln_1.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.ln_1.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.ln_1.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.ln_1.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.ln_1.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.ln_1.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.mlp.c_fc.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.mlp.c_fc.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.mlp.c_fc.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.mlp.c_fc.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.mlp.c_fc.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.mlp.c_fc.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.mlp.c_proj.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.mlp.c_proj.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.mlp.c_proj.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.mlp.c_proj.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.mlp.c_proj.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.mlp.c_proj.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.ln_2.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.ln_2.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.ln_2.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.ln_2.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.ln_2.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.0.ln_2.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.attn.in_proj_weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.attn.in_proj_weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.attn.in_proj_weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.attn.in_proj_bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.attn.in_proj_bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.attn.in_proj_bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.attn.out_proj.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.attn.out_proj.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.attn.out_proj.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.attn.out_proj.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.attn.out_proj.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.attn.out_proj.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.ln_1.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.ln_1.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.ln_1.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.ln_1.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.ln_1.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.ln_1.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.mlp.c_fc.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.mlp.c_fc.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.mlp.c_fc.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.mlp.c_fc.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.mlp.c_fc.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.mlp.c_fc.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.mlp.c_proj.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.mlp.c_proj.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.mlp.c_proj.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.mlp.c_proj.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.mlp.c_proj.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.mlp.c_proj.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.ln_2.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.ln_2.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.ln_2.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.ln_2.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.ln_2.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.1.ln_2.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.attn.in_proj_weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.attn.in_proj_weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.attn.in_proj_weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.attn.in_proj_bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.attn.in_proj_bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.attn.in_proj_bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.attn.out_proj.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.attn.out_proj.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.attn.out_proj.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.attn.out_proj.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.attn.out_proj.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.attn.out_proj.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.ln_1.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.ln_1.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.ln_1.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.ln_1.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.ln_1.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.ln_1.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.mlp.c_fc.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.mlp.c_fc.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.mlp.c_fc.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.mlp.c_fc.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.mlp.c_fc.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.mlp.c_fc.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.mlp.c_proj.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.mlp.c_proj.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.mlp.c_proj.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.mlp.c_proj.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.mlp.c_proj.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.mlp.c_proj.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.ln_2.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.ln_2.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.ln_2.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.ln_2.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.ln_2.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.2.ln_2.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.attn.in_proj_weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.attn.in_proj_weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.attn.in_proj_weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.attn.in_proj_bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.attn.in_proj_bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.attn.in_proj_bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.attn.out_proj.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.attn.out_proj.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.attn.out_proj.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.attn.out_proj.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.attn.out_proj.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.attn.out_proj.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.ln_1.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.ln_1.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.ln_1.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.ln_1.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.ln_1.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.ln_1.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.mlp.c_fc.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.mlp.c_fc.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.mlp.c_fc.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.mlp.c_fc.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.mlp.c_fc.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.mlp.c_fc.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.mlp.c_proj.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.mlp.c_proj.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.mlp.c_proj.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.mlp.c_proj.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.mlp.c_proj.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.mlp.c_proj.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.ln_2.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.ln_2.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.ln_2.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.ln_2.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.ln_2.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.3.ln_2.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.attn.in_proj_weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.attn.in_proj_weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.attn.in_proj_weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.attn.in_proj_bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.attn.in_proj_bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.attn.in_proj_bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.attn.out_proj.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.attn.out_proj.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.attn.out_proj.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.attn.out_proj.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.attn.out_proj.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.attn.out_proj.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.ln_1.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.ln_1.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.ln_1.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.ln_1.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.ln_1.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.ln_1.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.mlp.c_fc.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.mlp.c_fc.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.mlp.c_fc.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.mlp.c_fc.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.mlp.c_fc.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.mlp.c_fc.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.mlp.c_proj.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.mlp.c_proj.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.mlp.c_proj.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.mlp.c_proj.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.mlp.c_proj.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.mlp.c_proj.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.ln_2.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.ln_2.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.ln_2.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.ln_2.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.ln_2.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.4.ln_2.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.attn.in_proj_weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.attn.in_proj_weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.attn.in_proj_weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.attn.in_proj_bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.attn.in_proj_bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.attn.in_proj_bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.attn.out_proj.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.attn.out_proj.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.attn.out_proj.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.attn.out_proj.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.attn.out_proj.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.attn.out_proj.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.ln_1.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.ln_1.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.ln_1.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.ln_1.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.ln_1.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.ln_1.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.mlp.c_fc.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.mlp.c_fc.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.mlp.c_fc.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.mlp.c_fc.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.mlp.c_fc.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.mlp.c_fc.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.mlp.c_proj.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.mlp.c_proj.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.mlp.c_proj.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.mlp.c_proj.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.mlp.c_proj.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.mlp.c_proj.bias:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.ln_2.weight:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.ln_2.weight:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.ln_2.weight:lr_mult=10
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.ln_2.bias:lr=5e-05
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.ln_2.bias:weight_decay=0.2
2023/07/30 11:01:35 - mmengine - INFO - paramwise_options -- adapter.transformer.resblocks.5.ln_2.bias:lr_mult=10
Name of parameter - Initialization information

clip.positional_embedding - torch.Size([77, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.text_projection - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.logit_scale - torch.Size([]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.class_embedding - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.positional_embedding - torch.Size([50, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.proj - torch.Size([768, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.conv1.weight - torch.Size([768, 3, 32, 32]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.ln_pre.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.ln_pre.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.0.attn.in_proj_weight - torch.Size([2304, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.0.attn.in_proj_bias - torch.Size([2304]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.0.attn.out_proj.weight - torch.Size([768, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.0.attn.out_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.0.ln_1.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.0.ln_1.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.0.mlp.c_fc.weight - torch.Size([3072, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.0.mlp.c_fc.bias - torch.Size([3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.0.mlp.c_proj.weight - torch.Size([768, 3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.0.mlp.c_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.0.ln_2.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.0.ln_2.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.1.attn.in_proj_weight - torch.Size([2304, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.1.attn.in_proj_bias - torch.Size([2304]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.1.attn.out_proj.weight - torch.Size([768, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.1.attn.out_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.1.ln_1.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.1.ln_1.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.1.mlp.c_fc.weight - torch.Size([3072, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.1.mlp.c_fc.bias - torch.Size([3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.1.mlp.c_proj.weight - torch.Size([768, 3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.1.mlp.c_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.1.ln_2.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.1.ln_2.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.2.attn.in_proj_weight - torch.Size([2304, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.2.attn.in_proj_bias - torch.Size([2304]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.2.attn.out_proj.weight - torch.Size([768, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.2.attn.out_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.2.ln_1.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.2.ln_1.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.2.mlp.c_fc.weight - torch.Size([3072, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.2.mlp.c_fc.bias - torch.Size([3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.2.mlp.c_proj.weight - torch.Size([768, 3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.2.mlp.c_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.2.ln_2.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.2.ln_2.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.3.attn.in_proj_weight - torch.Size([2304, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.3.attn.in_proj_bias - torch.Size([2304]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.3.attn.out_proj.weight - torch.Size([768, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.3.attn.out_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.3.ln_1.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.3.ln_1.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.3.mlp.c_fc.weight - torch.Size([3072, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.3.mlp.c_fc.bias - torch.Size([3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.3.mlp.c_proj.weight - torch.Size([768, 3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.3.mlp.c_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.3.ln_2.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.3.ln_2.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.4.attn.in_proj_weight - torch.Size([2304, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.4.attn.in_proj_bias - torch.Size([2304]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.4.attn.out_proj.weight - torch.Size([768, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.4.attn.out_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.4.ln_1.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.4.ln_1.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.4.mlp.c_fc.weight - torch.Size([3072, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.4.mlp.c_fc.bias - torch.Size([3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.4.mlp.c_proj.weight - torch.Size([768, 3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.4.mlp.c_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.4.ln_2.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.4.ln_2.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.5.attn.in_proj_weight - torch.Size([2304, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.5.attn.in_proj_bias - torch.Size([2304]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.5.attn.out_proj.weight - torch.Size([768, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.5.attn.out_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.5.ln_1.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.5.ln_1.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.5.mlp.c_fc.weight - torch.Size([3072, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.5.mlp.c_fc.bias - torch.Size([3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.5.mlp.c_proj.weight - torch.Size([768, 3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.5.mlp.c_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.5.ln_2.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.5.ln_2.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.6.attn.in_proj_weight - torch.Size([2304, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.6.attn.in_proj_bias - torch.Size([2304]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.6.attn.out_proj.weight - torch.Size([768, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.6.attn.out_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.6.ln_1.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.6.ln_1.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.6.mlp.c_fc.weight - torch.Size([3072, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.6.mlp.c_fc.bias - torch.Size([3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.6.mlp.c_proj.weight - torch.Size([768, 3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.6.mlp.c_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.6.ln_2.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.6.ln_2.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.7.attn.in_proj_weight - torch.Size([2304, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.7.attn.in_proj_bias - torch.Size([2304]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.7.attn.out_proj.weight - torch.Size([768, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.7.attn.out_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.7.ln_1.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.7.ln_1.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.7.mlp.c_fc.weight - torch.Size([3072, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.7.mlp.c_fc.bias - torch.Size([3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.7.mlp.c_proj.weight - torch.Size([768, 3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.7.mlp.c_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.7.ln_2.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.7.ln_2.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.8.attn.in_proj_weight - torch.Size([2304, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.8.attn.in_proj_bias - torch.Size([2304]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.8.attn.out_proj.weight - torch.Size([768, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.8.attn.out_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.8.ln_1.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.8.ln_1.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.8.mlp.c_fc.weight - torch.Size([3072, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.8.mlp.c_fc.bias - torch.Size([3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.8.mlp.c_proj.weight - torch.Size([768, 3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.8.mlp.c_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.8.ln_2.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.8.ln_2.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.9.attn.in_proj_weight - torch.Size([2304, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.9.attn.in_proj_bias - torch.Size([2304]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.9.attn.out_proj.weight - torch.Size([768, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.9.attn.out_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.9.ln_1.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.9.ln_1.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.9.mlp.c_fc.weight - torch.Size([3072, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.9.mlp.c_fc.bias - torch.Size([3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.9.mlp.c_proj.weight - torch.Size([768, 3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.9.mlp.c_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.9.ln_2.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.9.ln_2.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.10.attn.in_proj_weight - torch.Size([2304, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.10.attn.in_proj_bias - torch.Size([2304]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.10.attn.out_proj.weight - torch.Size([768, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.10.attn.out_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.10.ln_1.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.10.ln_1.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.10.mlp.c_fc.weight - torch.Size([3072, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.10.mlp.c_fc.bias - torch.Size([3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.10.mlp.c_proj.weight - torch.Size([768, 3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.10.mlp.c_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.10.ln_2.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.10.ln_2.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.11.attn.in_proj_weight - torch.Size([2304, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.11.attn.in_proj_bias - torch.Size([2304]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.11.attn.out_proj.weight - torch.Size([768, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.11.attn.out_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.11.ln_1.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.11.ln_1.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.11.mlp.c_fc.weight - torch.Size([3072, 768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.11.mlp.c_fc.bias - torch.Size([3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.11.mlp.c_proj.weight - torch.Size([768, 3072]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.11.mlp.c_proj.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.11.ln_2.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.transformer.resblocks.11.ln_2.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.ln_post.weight - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.visual.ln_post.bias - torch.Size([768]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.0.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.0.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.0.attn.out_proj.weight - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.0.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.0.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.0.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.0.mlp.c_fc.weight - torch.Size([2048, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.0.mlp.c_fc.bias - torch.Size([2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.0.mlp.c_proj.weight - torch.Size([512, 2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.0.mlp.c_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.0.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.0.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.1.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.1.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.1.attn.out_proj.weight - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.1.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.1.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.1.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.1.mlp.c_fc.weight - torch.Size([2048, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.1.mlp.c_fc.bias - torch.Size([2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.1.mlp.c_proj.weight - torch.Size([512, 2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.1.mlp.c_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.1.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.1.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.2.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.2.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.2.attn.out_proj.weight - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.2.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.2.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.2.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.2.mlp.c_fc.weight - torch.Size([2048, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.2.mlp.c_fc.bias - torch.Size([2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.2.mlp.c_proj.weight - torch.Size([512, 2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.2.mlp.c_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.2.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.2.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.3.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.3.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.3.attn.out_proj.weight - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.3.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.3.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.3.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.3.mlp.c_fc.weight - torch.Size([2048, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.3.mlp.c_fc.bias - torch.Size([2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.3.mlp.c_proj.weight - torch.Size([512, 2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.3.mlp.c_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.3.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.3.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.4.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.4.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.4.attn.out_proj.weight - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.4.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.4.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.4.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.4.mlp.c_fc.weight - torch.Size([2048, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.4.mlp.c_fc.bias - torch.Size([2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.4.mlp.c_proj.weight - torch.Size([512, 2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.4.mlp.c_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.4.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.4.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.5.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.5.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.5.attn.out_proj.weight - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.5.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.5.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.5.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.5.mlp.c_fc.weight - torch.Size([2048, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.5.mlp.c_fc.bias - torch.Size([2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.5.mlp.c_proj.weight - torch.Size([512, 2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.5.mlp.c_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.5.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.5.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.6.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.6.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.6.attn.out_proj.weight - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.6.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.6.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.6.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.6.mlp.c_fc.weight - torch.Size([2048, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.6.mlp.c_fc.bias - torch.Size([2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.6.mlp.c_proj.weight - torch.Size([512, 2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.6.mlp.c_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.6.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.6.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.7.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.7.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.7.attn.out_proj.weight - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.7.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.7.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.7.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.7.mlp.c_fc.weight - torch.Size([2048, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.7.mlp.c_fc.bias - torch.Size([2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.7.mlp.c_proj.weight - torch.Size([512, 2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.7.mlp.c_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.7.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.7.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.8.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.8.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.8.attn.out_proj.weight - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.8.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.8.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.8.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.8.mlp.c_fc.weight - torch.Size([2048, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.8.mlp.c_fc.bias - torch.Size([2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.8.mlp.c_proj.weight - torch.Size([512, 2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.8.mlp.c_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.8.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.8.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.9.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.9.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.9.attn.out_proj.weight - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.9.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.9.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.9.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.9.mlp.c_fc.weight - torch.Size([2048, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.9.mlp.c_fc.bias - torch.Size([2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.9.mlp.c_proj.weight - torch.Size([512, 2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.9.mlp.c_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.9.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.9.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.10.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.10.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.10.attn.out_proj.weight - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.10.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.10.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.10.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.10.mlp.c_fc.weight - torch.Size([2048, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.10.mlp.c_fc.bias - torch.Size([2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.10.mlp.c_proj.weight - torch.Size([512, 2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.10.mlp.c_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.10.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.10.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.11.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.11.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.11.attn.out_proj.weight - torch.Size([512, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.11.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.11.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.11.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.11.mlp.c_fc.weight - torch.Size([2048, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.11.mlp.c_fc.bias - torch.Size([2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.11.mlp.c_proj.weight - torch.Size([512, 2048]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.11.mlp.c_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.11.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.transformer.resblocks.11.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.token_embedding.weight - torch.Size([49408, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.ln_final.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

clip.ln_final.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.frame_position_embeddings.weight - torch.Size([8, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.0.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.0.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.0.attn.out_proj.weight - torch.Size([512, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.0.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.0.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.0.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.0.mlp.c_fc.weight - torch.Size([2048, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.0.mlp.c_fc.bias - torch.Size([2048]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.0.mlp.c_proj.weight - torch.Size([512, 2048]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.0.mlp.c_proj.bias - torch.Size([512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.0.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.0.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.1.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.1.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.1.attn.out_proj.weight - torch.Size([512, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.1.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.1.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.1.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.1.mlp.c_fc.weight - torch.Size([2048, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.1.mlp.c_fc.bias - torch.Size([2048]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.1.mlp.c_proj.weight - torch.Size([512, 2048]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.1.mlp.c_proj.bias - torch.Size([512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.1.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.1.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.2.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.2.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.2.attn.out_proj.weight - torch.Size([512, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.2.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.2.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.2.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.2.mlp.c_fc.weight - torch.Size([2048, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.2.mlp.c_fc.bias - torch.Size([2048]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.2.mlp.c_proj.weight - torch.Size([512, 2048]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.2.mlp.c_proj.bias - torch.Size([512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.2.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.2.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.3.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.3.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.3.attn.out_proj.weight - torch.Size([512, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.3.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.3.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.3.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.3.mlp.c_fc.weight - torch.Size([2048, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.3.mlp.c_fc.bias - torch.Size([2048]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.3.mlp.c_proj.weight - torch.Size([512, 2048]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.3.mlp.c_proj.bias - torch.Size([512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.3.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.3.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.4.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.4.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.4.attn.out_proj.weight - torch.Size([512, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.4.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.4.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.4.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.4.mlp.c_fc.weight - torch.Size([2048, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.4.mlp.c_fc.bias - torch.Size([2048]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.4.mlp.c_proj.weight - torch.Size([512, 2048]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.4.mlp.c_proj.bias - torch.Size([512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.4.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.4.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.5.attn.in_proj_weight - torch.Size([1536, 512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.5.attn.in_proj_bias - torch.Size([1536]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.5.attn.out_proj.weight - torch.Size([512, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.5.attn.out_proj.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.5.ln_1.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.5.ln_1.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.5.mlp.c_fc.weight - torch.Size([2048, 512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.5.mlp.c_fc.bias - torch.Size([2048]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.5.mlp.c_proj.weight - torch.Size([512, 2048]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.5.mlp.c_proj.bias - torch.Size([512]): 
Initialized by user-defined `init_weights` in TransformerAdapter  

adapter.transformer.resblocks.5.ln_2.weight - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  

adapter.transformer.resblocks.5.ln_2.bias - torch.Size([512]): 
The value is the same before and after calling `init_weights` of ActionClip  
2023/07/30 11:01:35 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io
2023/07/30 11:01:35 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future.
2023/07/30 11:01:35 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb.
2023/07/30 11:03:19 - mmengine - INFO - Epoch(train)  [1][ 100/1879]  base_lr: 1.0217e-07 lr: 1.0217e-07  eta: 1 day, 2:56:12  time: 0.3962  data_time: 0.1511  memory: 8797  loss: 3.0568  sim_loss_v2t: 1.5450  sim_loss_t2v: 1.5118
2023/07/30 11:04:00 - mmengine - INFO - Epoch(train)  [1][ 200/1879]  base_lr: 1.5486e-07 lr: 1.5486e-07  eta: 18:46:23  time: 0.4689  data_time: 0.2258  memory: 8783  loss: 2.5147  sim_loss_v2t: 1.2548  sim_loss_t2v: 1.2600
2023/07/30 11:04:38 - mmengine - INFO - Epoch(train)  [1][ 300/1879]  base_lr: 2.0755e-07 lr: 2.0755e-07  eta: 15:49:44  time: 0.3621  data_time: 0.1104  memory: 8783  loss: 2.2778  sim_loss_v2t: 1.1268  sim_loss_t2v: 1.1511
2023/07/30 11:05:18 - mmengine - INFO - Epoch(train)  [1][ 400/1879]  base_lr: 2.6025e-07 lr: 2.6025e-07  eta: 14:29:19  time: 0.4517  data_time: 0.0550  memory: 8783  loss: 2.0562  sim_loss_v2t: 1.0135  sim_loss_t2v: 1.0427
2023/07/30 11:05:59 - mmengine - INFO - Epoch(train)  [1][ 500/1879]  base_lr: 3.1294e-07 lr: 3.1294e-07  eta: 13:40:22  time: 0.3404  data_time: 0.0330  memory: 8783  loss: 1.9173  sim_loss_v2t: 0.9386  sim_loss_t2v: 0.9787
2023/07/30 11:06:38 - mmengine - INFO - Epoch(train)  [1][ 600/1879]  base_lr: 3.6563e-07 lr: 3.6563e-07  eta: 13:05:23  time: 0.3643  data_time: 0.0218  memory: 8783  loss: 1.8279  sim_loss_v2t: 0.8942  sim_loss_t2v: 0.9337
2023/07/30 11:07:17 - mmengine - INFO - Epoch(train)  [1][ 700/1879]  base_lr: 4.1833e-07 lr: 4.1833e-07  eta: 12:37:43  time: 0.3773  data_time: 0.0230  memory: 8783  loss: 1.8181  sim_loss_v2t: 0.8864  sim_loss_t2v: 0.9317
2023/07/30 11:07:59 - mmengine - INFO - Epoch(train)  [1][ 800/1879]  base_lr: 4.7102e-07 lr: 4.7102e-07  eta: 12:25:16  time: 0.3723  data_time: 0.1244  memory: 8783  loss: 1.6671  sim_loss_v2t: 0.8157  sim_loss_t2v: 0.8514
2023/07/30 11:08:40 - mmengine - INFO - Epoch(train)  [1][ 900/1879]  base_lr: 5.2371e-07 lr: 5.2371e-07  eta: 12:12:05  time: 0.3728  data_time: 0.0226  memory: 8783  loss: 1.7698  sim_loss_v2t: 0.8595  sim_loss_t2v: 0.9103
2023/07/30 11:09:19 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 11:09:19 - mmengine - INFO - Epoch(train)  [1][1000/1879]  base_lr: 5.7641e-07 lr: 5.7641e-07  eta: 11:58:47  time: 0.3864  data_time: 0.0673  memory: 8783  loss: 1.7884  sim_loss_v2t: 0.8708  sim_loss_t2v: 0.9175
2023/07/30 11:10:00 - mmengine - INFO - Epoch(train)  [1][1100/1879]  base_lr: 6.2910e-07 lr: 6.2910e-07  eta: 11:50:19  time: 0.4028  data_time: 0.0230  memory: 8783  loss: 1.6681  sim_loss_v2t: 0.8136  sim_loss_t2v: 0.8545
2023/07/30 11:10:43 - mmengine - INFO - Epoch(train)  [1][1200/1879]  base_lr: 6.8179e-07 lr: 6.8179e-07  eta: 11:44:53  time: 0.5461  data_time: 0.0505  memory: 8783  loss: 1.6088  sim_loss_v2t: 0.7872  sim_loss_t2v: 0.8215
2023/07/30 11:11:21 - mmengine - INFO - Epoch(train)  [1][1300/1879]  base_lr: 7.3448e-07 lr: 7.3448e-07  eta: 11:35:52  time: 0.3886  data_time: 0.1147  memory: 8783  loss: 1.6161  sim_loss_v2t: 0.7938  sim_loss_t2v: 0.8223
2023/07/30 11:12:01 - mmengine - INFO - Epoch(train)  [1][1400/1879]  base_lr: 7.8718e-07 lr: 7.8718e-07  eta: 11:29:36  time: 0.3474  data_time: 0.0277  memory: 8783  loss: 1.6243  sim_loss_v2t: 0.7892  sim_loss_t2v: 0.8351
2023/07/30 11:12:40 - mmengine - INFO - Epoch(train)  [1][1500/1879]  base_lr: 8.3987e-07 lr: 8.3987e-07  eta: 11:22:51  time: 0.3782  data_time: 0.0236  memory: 8783  loss: 1.5730  sim_loss_v2t: 0.7684  sim_loss_t2v: 0.8046
2023/07/30 11:13:22 - mmengine - INFO - Epoch(train)  [1][1600/1879]  base_lr: 8.9256e-07 lr: 8.9256e-07  eta: 11:20:04  time: 0.5018  data_time: 0.0268  memory: 8783  loss: 1.5233  sim_loss_v2t: 0.7445  sim_loss_t2v: 0.7787
2023/07/30 11:14:01 - mmengine - INFO - Epoch(train)  [1][1700/1879]  base_lr: 9.4526e-07 lr: 9.4526e-07  eta: 11:14:34  time: 0.3868  data_time: 0.0308  memory: 8783  loss: 1.5472  sim_loss_v2t: 0.7568  sim_loss_t2v: 0.7904
2023/07/30 11:14:41 - mmengine - INFO - Epoch(train)  [1][1800/1879]  base_lr: 9.9795e-07 lr: 9.9795e-07  eta: 11:10:22  time: 0.3383  data_time: 0.0224  memory: 8783  loss: 1.4764  sim_loss_v2t: 0.7252  sim_loss_t2v: 0.7512
2023/07/30 11:15:07 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 11:15:07 - mmengine - INFO - Epoch(train)  [1][1879/1879]  base_lr: 1.0396e-06 lr: 1.0396e-06  eta: 11:03:07  time: 0.1868  data_time: 0.0111  memory: 8783  loss: 1.4815  sim_loss_v2t: 0.7181  sim_loss_t2v: 0.7634
2023/07/30 11:15:07 - mmengine - INFO - Saving checkpoint at 1 epochs
2023/07/30 11:17:28 - mmengine - INFO - Epoch(val)  [1][100/155]    eta: 0:01:11  time: 1.1475  data_time: 0.0424  memory: 18758  
2023/07/30 11:18:32 - mmengine - INFO - Epoch(val) [1][155/155]    acc/top1: 0.6499  acc/top5: 0.8841  acc/mean1: 0.6498  data_time: 0.1320  time: 1.2371
2023/07/30 11:18:39 - mmengine - INFO - The best checkpoint with 0.6499 acc/top1 at 1 epoch is saved to best_acc_top1_epoch_1.pth.
2023/07/30 11:19:33 - mmengine - INFO - Epoch(train)  [2][ 100/1879]  base_lr: 1.0923e-06 lr: 1.0923e-06  eta: 11:00:44  time: 0.4745  data_time: 0.2077  memory: 18758  loss: 1.4939  sim_loss_v2t: 0.7336  sim_loss_t2v: 0.7603
2023/07/30 11:19:41 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 11:20:18 - mmengine - INFO - Epoch(train)  [2][ 200/1879]  base_lr: 1.1450e-06 lr: 1.1450e-06  eta: 11:01:08  time: 0.3847  data_time: 0.1430  memory: 8783  loss: 1.4470  sim_loss_v2t: 0.7100  sim_loss_t2v: 0.7371
2023/07/30 11:20:57 - mmengine - INFO - Epoch(train)  [2][ 300/1879]  base_lr: 1.1977e-06 lr: 1.1977e-06  eta: 10:57:34  time: 0.3352  data_time: 0.0456  memory: 8783  loss: 1.5490  sim_loss_v2t: 0.7589  sim_loss_t2v: 0.7901
2023/07/30 11:21:39 - mmengine - INFO - Epoch(train)  [2][ 400/1879]  base_lr: 1.2504e-06 lr: 1.2504e-06  eta: 10:56:14  time: 0.4654  data_time: 0.0232  memory: 8783  loss: 1.4698  sim_loss_v2t: 0.7220  sim_loss_t2v: 0.7478
2023/07/30 11:22:18 - mmengine - INFO - Epoch(train)  [2][ 500/1879]  base_lr: 1.3030e-06 lr: 1.3030e-06  eta: 10:53:10  time: 0.3962  data_time: 0.0296  memory: 8783  loss: 1.4596  sim_loss_v2t: 0.7193  sim_loss_t2v: 0.7402
2023/07/30 11:22:59 - mmengine - INFO - Epoch(train)  [2][ 600/1879]  base_lr: 1.3557e-06 lr: 1.3557e-06  eta: 10:51:07  time: 0.3755  data_time: 0.0275  memory: 8783  loss: 1.4737  sim_loss_v2t: 0.7211  sim_loss_t2v: 0.7526
2023/07/30 11:23:39 - mmengine - INFO - Epoch(train)  [2][ 700/1879]  base_lr: 1.4084e-06 lr: 1.4084e-06  eta: 10:49:01  time: 0.4853  data_time: 0.0204  memory: 8783  loss: 1.4318  sim_loss_v2t: 0.7059  sim_loss_t2v: 0.7259
2023/07/30 11:24:18 - mmengine - INFO - Epoch(train)  [2][ 800/1879]  base_lr: 1.4611e-06 lr: 1.4611e-06  eta: 10:45:54  time: 0.3408  data_time: 0.0268  memory: 8783  loss: 1.4884  sim_loss_v2t: 0.7349  sim_loss_t2v: 0.7535
2023/07/30 11:24:58 - mmengine - INFO - Epoch(train)  [2][ 900/1879]  base_lr: 1.5138e-06 lr: 1.5138e-06  eta: 10:44:10  time: 0.3880  data_time: 0.0260  memory: 8783  loss: 1.4764  sim_loss_v2t: 0.7248  sim_loss_t2v: 0.7516
2023/07/30 11:25:38 - mmengine - INFO - Epoch(train)  [2][1000/1879]  base_lr: 1.5665e-06 lr: 1.5665e-06  eta: 10:41:59  time: 0.4387  data_time: 0.0267  memory: 8783  loss: 1.4462  sim_loss_v2t: 0.7110  sim_loss_t2v: 0.7352
2023/07/30 11:26:18 - mmengine - INFO - Epoch(train)  [2][1100/1879]  base_lr: 1.6192e-06 lr: 1.6192e-06  eta: 10:40:20  time: 0.4095  data_time: 0.0301  memory: 8783  loss: 1.4136  sim_loss_v2t: 0.6970  sim_loss_t2v: 0.7166
2023/07/30 11:26:26 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 11:26:57 - mmengine - INFO - Epoch(train)  [2][1200/1879]  base_lr: 1.6719e-06 lr: 1.6719e-06  eta: 10:38:05  time: 0.4600  data_time: 0.0338  memory: 8783  loss: 1.4115  sim_loss_v2t: 0.6945  sim_loss_t2v: 0.7170
2023/07/30 11:27:37 - mmengine - INFO - Epoch(train)  [2][1300/1879]  base_lr: 1.7246e-06 lr: 1.7246e-06  eta: 10:36:11  time: 0.3625  data_time: 0.0241  memory: 8783  loss: 1.4038  sim_loss_v2t: 0.6918  sim_loss_t2v: 0.7121
2023/07/30 11:28:15 - mmengine - INFO - Epoch(train)  [2][1400/1879]  base_lr: 1.7773e-06 lr: 1.7773e-06  eta: 10:33:36  time: 0.3502  data_time: 0.0229  memory: 8783  loss: 1.4007  sim_loss_v2t: 0.6874  sim_loss_t2v: 0.7133
2023/07/30 11:28:57 - mmengine - INFO - Epoch(train)  [2][1500/1879]  base_lr: 1.8300e-06 lr: 1.8300e-06  eta: 10:32:49  time: 0.3637  data_time: 0.0257  memory: 8783  loss: 1.3964  sim_loss_v2t: 0.6835  sim_loss_t2v: 0.7129
2023/07/30 11:29:38 - mmengine - INFO - Epoch(train)  [2][1600/1879]  base_lr: 1.8827e-06 lr: 1.8827e-06  eta: 10:31:58  time: 0.4613  data_time: 0.0264  memory: 8783  loss: 1.3665  sim_loss_v2t: 0.6783  sim_loss_t2v: 0.6882
2023/07/30 11:30:17 - mmengine - INFO - Epoch(train)  [2][1700/1879]  base_lr: 1.9354e-06 lr: 1.9354e-06  eta: 10:29:49  time: 0.3197  data_time: 0.0248  memory: 8783  loss: 1.3512  sim_loss_v2t: 0.6643  sim_loss_t2v: 0.6868
2023/07/30 11:31:00 - mmengine - INFO - Epoch(train)  [2][1800/1879]  base_lr: 1.9881e-06 lr: 1.9881e-06  eta: 10:29:41  time: 0.5496  data_time: 0.0248  memory: 8783  loss: 1.3026  sim_loss_v2t: 0.6484  sim_loss_t2v: 0.6543
2023/07/30 11:31:25 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 11:31:25 - mmengine - INFO - Epoch(train)  [2][1879/1879]  base_lr: 2.0297e-06 lr: 2.0297e-06  eta: 10:26:02  time: 0.2676  data_time: 0.0111  memory: 8783  loss: 1.3643  sim_loss_v2t: 0.6731  sim_loss_t2v: 0.6912
2023/07/30 11:31:25 - mmengine - INFO - Saving checkpoint at 2 epochs
2023/07/30 11:33:39 - mmengine - INFO - Epoch(val)  [2][100/155]    eta: 0:01:04  time: 1.1483  data_time: 0.0417  memory: 18758  
2023/07/30 11:34:42 - mmengine - INFO - Epoch(val) [2][155/155]    acc/top1: 0.6819  acc/top5: 0.9007  acc/mean1: 0.6818  data_time: 0.0510  time: 1.1537
2023/07/30 11:34:42 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_1.pth is removed
2023/07/30 11:34:50 - mmengine - INFO - The best checkpoint with 0.6819 acc/top1 at 2 epoch is saved to best_acc_top1_epoch_2.pth.
2023/07/30 11:35:43 - mmengine - INFO - Epoch(train)  [3][ 100/1879]  base_lr: 2.0824e-06 lr: 2.0824e-06  eta: 10:25:01  time: 0.4844  data_time: 0.2468  memory: 18758  loss: 1.3691  sim_loss_v2t: 0.6761  sim_loss_t2v: 0.6930
2023/07/30 11:36:23 - mmengine - INFO - Epoch(train)  [3][ 200/1879]  base_lr: 2.1351e-06 lr: 2.1351e-06  eta: 10:23:31  time: 0.3696  data_time: 0.1222  memory: 8783  loss: 1.4047  sim_loss_v2t: 0.6915  sim_loss_t2v: 0.7132
2023/07/30 11:36:39 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 11:37:03 - mmengine - INFO - Epoch(train)  [3][ 300/1879]  base_lr: 2.1878e-06 lr: 2.1878e-06  eta: 10:22:18  time: 0.3713  data_time: 0.1206  memory: 8783  loss: 1.3467  sim_loss_v2t: 0.6613  sim_loss_t2v: 0.6854
2023/07/30 11:37:42 - mmengine - INFO - Epoch(train)  [3][ 400/1879]  base_lr: 2.2405e-06 lr: 2.2405e-06  eta: 10:20:30  time: 0.4016  data_time: 0.0329  memory: 8783  loss: 1.3140  sim_loss_v2t: 0.6473  sim_loss_t2v: 0.6667
2023/07/30 11:38:23 - mmengine - INFO - Epoch(train)  [3][ 500/1879]  base_lr: 2.2931e-06 lr: 2.2931e-06  eta: 10:19:53  time: 0.4467  data_time: 0.1700  memory: 8783  loss: 1.3469  sim_loss_v2t: 0.6642  sim_loss_t2v: 0.6827
2023/07/30 11:39:03 - mmengine - INFO - Epoch(train)  [3][ 600/1879]  base_lr: 2.3458e-06 lr: 2.3458e-06  eta: 10:18:32  time: 0.3840  data_time: 0.0429  memory: 8783  loss: 1.3473  sim_loss_v2t: 0.6645  sim_loss_t2v: 0.6828
2023/07/30 11:39:43 - mmengine - INFO - Epoch(train)  [3][ 700/1879]  base_lr: 2.3985e-06 lr: 2.3985e-06  eta: 10:17:32  time: 0.3613  data_time: 0.0222  memory: 8783  loss: 1.3746  sim_loss_v2t: 0.6792  sim_loss_t2v: 0.6954
2023/07/30 11:40:24 - mmengine - INFO - Epoch(train)  [3][ 800/1879]  base_lr: 2.4512e-06 lr: 2.4512e-06  eta: 10:16:34  time: 0.4671  data_time: 0.0243  memory: 8783  loss: 1.2750  sim_loss_v2t: 0.6302  sim_loss_t2v: 0.6448
2023/07/30 11:41:03 - mmengine - INFO - Epoch(train)  [3][ 900/1879]  base_lr: 2.5039e-06 lr: 2.5039e-06  eta: 10:15:09  time: 0.3697  data_time: 0.0429  memory: 8783  loss: 1.3529  sim_loss_v2t: 0.6687  sim_loss_t2v: 0.6842
2023/07/30 11:41:43 - mmengine - INFO - Epoch(train)  [3][1000/1879]  base_lr: 2.5566e-06 lr: 2.5566e-06  eta: 10:13:57  time: 0.3551  data_time: 0.0223  memory: 8783  loss: 1.2717  sim_loss_v2t: 0.6220  sim_loss_t2v: 0.6496
2023/07/30 11:42:23 - mmengine - INFO - Epoch(train)  [3][1100/1879]  base_lr: 2.6093e-06 lr: 2.6093e-06  eta: 10:13:04  time: 0.4635  data_time: 0.0559  memory: 8783  loss: 1.3637  sim_loss_v2t: 0.6706  sim_loss_t2v: 0.6931
2023/07/30 11:43:01 - mmengine - INFO - Epoch(train)  [3][1200/1879]  base_lr: 2.6620e-06 lr: 2.6620e-06  eta: 10:11:25  time: 0.3396  data_time: 0.0249  memory: 8783  loss: 1.3152  sim_loss_v2t: 0.6422  sim_loss_t2v: 0.6731
2023/07/30 11:43:19 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 11:43:44 - mmengine - INFO - Epoch(train)  [3][1300/1879]  base_lr: 2.7147e-06 lr: 2.7147e-06  eta: 10:11:04  time: 0.2971  data_time: 0.0241  memory: 8783  loss: 1.3889  sim_loss_v2t: 0.6867  sim_loss_t2v: 0.7022
2023/07/30 11:44:24 - mmengine - INFO - Epoch(train)  [3][1400/1879]  base_lr: 2.7674e-06 lr: 2.7674e-06  eta: 10:10:02  time: 0.3552  data_time: 0.0239  memory: 8783  loss: 1.2995  sim_loss_v2t: 0.6403  sim_loss_t2v: 0.6592
2023/07/30 11:45:05 - mmengine - INFO - Epoch(train)  [3][1500/1879]  base_lr: 2.8201e-06 lr: 2.8201e-06  eta: 10:09:16  time: 0.4614  data_time: 0.0264  memory: 8783  loss: 1.3588  sim_loss_v2t: 0.6709  sim_loss_t2v: 0.6879
2023/07/30 11:45:44 - mmengine - INFO - Epoch(train)  [3][1600/1879]  base_lr: 2.8728e-06 lr: 2.8728e-06  eta: 10:08:03  time: 0.3381  data_time: 0.0262  memory: 8783  loss: 1.3686  sim_loss_v2t: 0.6770  sim_loss_t2v: 0.6916
2023/07/30 11:46:26 - mmengine - INFO - Epoch(train)  [3][1700/1879]  base_lr: 2.9255e-06 lr: 2.9255e-06  eta: 10:07:28  time: 0.3086  data_time: 0.0229  memory: 8783  loss: 1.4109  sim_loss_v2t: 0.6935  sim_loss_t2v: 0.7173
2023/07/30 11:47:06 - mmengine - INFO - Epoch(train)  [3][1800/1879]  base_lr: 2.9782e-06 lr: 2.9782e-06  eta: 10:06:29  time: 0.4162  data_time: 0.0246  memory: 8783  loss: 1.3679  sim_loss_v2t: 0.6756  sim_loss_t2v: 0.6923
2023/07/30 11:47:32 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 11:47:32 - mmengine - INFO - Epoch(train)  [3][1879/1879]  base_lr: 3.0198e-06 lr: 3.0198e-06  eta: 10:04:17  time: 0.2265  data_time: 0.0581  memory: 8783  loss: 1.3218  sim_loss_v2t: 0.6570  sim_loss_t2v: 0.6648
2023/07/30 11:47:32 - mmengine - INFO - Saving checkpoint at 3 epochs
2023/07/30 11:49:45 - mmengine - INFO - Epoch(val)  [3][100/155]    eta: 0:01:04  time: 1.1592  data_time: 0.0556  memory: 18758  
2023/07/30 11:50:48 - mmengine - INFO - Epoch(val) [3][155/155]    acc/top1: 0.6930  acc/top5: 0.9083  acc/mean1: 0.6929  data_time: 0.0503  time: 1.1535
2023/07/30 11:50:48 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_2.pth is removed
2023/07/30 11:50:56 - mmengine - INFO - The best checkpoint with 0.6930 acc/top1 at 3 epoch is saved to best_acc_top1_epoch_3.pth.
2023/07/30 11:51:49 - mmengine - INFO - Epoch(train)  [4][ 100/1879]  base_lr: 3.0725e-06 lr: 3.0725e-06  eta: 10:03:26  time: 0.3923  data_time: 0.0648  memory: 18758  loss: 1.3088  sim_loss_v2t: 0.6491  sim_loss_t2v: 0.6596
2023/07/30 11:52:29 - mmengine - INFO - Epoch(train)  [4][ 200/1879]  base_lr: 3.1252e-06 lr: 3.1252e-06  eta: 10:02:32  time: 0.3944  data_time: 0.0282  memory: 8783  loss: 1.2545  sim_loss_v2t: 0.6196  sim_loss_t2v: 0.6349
2023/07/30 11:53:10 - mmengine - INFO - Epoch(train)  [4][ 300/1879]  base_lr: 3.1779e-06 lr: 3.1779e-06  eta: 10:01:55  time: 0.4308  data_time: 0.0255  memory: 8783  loss: 1.3147  sim_loss_v2t: 0.6571  sim_loss_t2v: 0.6577
2023/07/30 11:53:36 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 11:53:49 - mmengine - INFO - Epoch(train)  [4][ 400/1879]  base_lr: 3.2306e-06 lr: 3.2306e-06  eta: 10:00:47  time: 0.3483  data_time: 0.0228  memory: 8783  loss: 1.2801  sim_loss_v2t: 0.6322  sim_loss_t2v: 0.6479
2023/07/30 11:54:31 - mmengine - INFO - Epoch(train)  [4][ 500/1879]  base_lr: 3.2833e-06 lr: 3.2833e-06  eta: 10:00:15  time: 0.3620  data_time: 0.0305  memory: 8783  loss: 1.3124  sim_loss_v2t: 0.6468  sim_loss_t2v: 0.6656
2023/07/30 11:55:10 - mmengine - INFO - Epoch(train)  [4][ 600/1879]  base_lr: 3.3359e-06 lr: 3.3359e-06  eta: 9:59:02  time: 0.3896  data_time: 0.0220  memory: 8783  loss: 1.3283  sim_loss_v2t: 0.6532  sim_loss_t2v: 0.6751
2023/07/30 11:55:49 - mmengine - INFO - Epoch(train)  [4][ 700/1879]  base_lr: 3.3886e-06 lr: 3.3886e-06  eta: 9:58:03  time: 0.3786  data_time: 0.0252  memory: 8783  loss: 1.3180  sim_loss_v2t: 0.6560  sim_loss_t2v: 0.6620
2023/07/30 11:56:30 - mmengine - INFO - Epoch(train)  [4][ 800/1879]  base_lr: 3.4413e-06 lr: 3.4413e-06  eta: 9:57:24  time: 0.3928  data_time: 0.0236  memory: 8783  loss: 1.3040  sim_loss_v2t: 0.6471  sim_loss_t2v: 0.6569
2023/07/30 11:57:10 - mmengine - INFO - Epoch(train)  [4][ 900/1879]  base_lr: 3.4940e-06 lr: 3.4940e-06  eta: 9:56:23  time: 0.3808  data_time: 0.0225  memory: 8783  loss: 1.2872  sim_loss_v2t: 0.6367  sim_loss_t2v: 0.6505
2023/07/30 11:57:49 - mmengine - INFO - Epoch(train)  [4][1000/1879]  base_lr: 3.5467e-06 lr: 3.5467e-06  eta: 9:55:16  time: 0.3685  data_time: 0.0222  memory: 8783  loss: 1.2841  sim_loss_v2t: 0.6330  sim_loss_t2v: 0.6511
2023/07/30 11:58:31 - mmengine - INFO - Epoch(train)  [4][1100/1879]  base_lr: 3.5994e-06 lr: 3.5994e-06  eta: 9:54:46  time: 0.4404  data_time: 0.0298  memory: 8783  loss: 1.2773  sim_loss_v2t: 0.6384  sim_loss_t2v: 0.6389
2023/07/30 11:59:09 - mmengine - INFO - Epoch(train)  [4][1200/1879]  base_lr: 3.6521e-06 lr: 3.6521e-06  eta: 9:53:35  time: 0.4038  data_time: 0.0306  memory: 8783  loss: 1.2894  sim_loss_v2t: 0.6377  sim_loss_t2v: 0.6518
2023/07/30 11:59:49 - mmengine - INFO - Epoch(train)  [4][1300/1879]  base_lr: 3.7048e-06 lr: 3.7048e-06  eta: 9:52:41  time: 0.4225  data_time: 0.0236  memory: 8783  loss: 1.2308  sim_loss_v2t: 0.6171  sim_loss_t2v: 0.6137
2023/07/30 12:00:14 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 12:00:29 - mmengine - INFO - Epoch(train)  [4][1400/1879]  base_lr: 3.7575e-06 lr: 3.7575e-06  eta: 9:51:55  time: 0.3539  data_time: 0.0219  memory: 8783  loss: 1.3226  sim_loss_v2t: 0.6550  sim_loss_t2v: 0.6676
2023/07/30 12:01:08 - mmengine - INFO - Epoch(train)  [4][1500/1879]  base_lr: 3.8102e-06 lr: 3.8102e-06  eta: 9:50:47  time: 0.3355  data_time: 0.0248  memory: 8783  loss: 1.2392  sim_loss_v2t: 0.6126  sim_loss_t2v: 0.6265
2023/07/30 12:01:49 - mmengine - INFO - Epoch(train)  [4][1600/1879]  base_lr: 3.8629e-06 lr: 3.8629e-06  eta: 9:50:06  time: 0.3596  data_time: 0.1173  memory: 8783  loss: 1.3197  sim_loss_v2t: 0.6621  sim_loss_t2v: 0.6576
2023/07/30 12:02:30 - mmengine - INFO - Epoch(train)  [4][1700/1879]  base_lr: 3.9156e-06 lr: 3.9156e-06  eta: 9:49:27  time: 0.4114  data_time: 0.1534  memory: 8783  loss: 1.3010  sim_loss_v2t: 0.6455  sim_loss_t2v: 0.6555
2023/07/30 12:03:09 - mmengine - INFO - Epoch(train)  [4][1800/1879]  base_lr: 3.9683e-06 lr: 3.9683e-06  eta: 9:48:28  time: 0.3796  data_time: 0.1276  memory: 8783  loss: 1.2536  sim_loss_v2t: 0.6275  sim_loss_t2v: 0.6261
2023/07/30 12:03:35 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 12:03:35 - mmengine - INFO - Epoch(train)  [4][1879/1879]  base_lr: 4.0099e-06 lr: 4.0099e-06  eta: 9:46:47  time: 0.1640  data_time: 0.0069  memory: 8783  loss: 1.2496  sim_loss_v2t: 0.6239  sim_loss_t2v: 0.6257
2023/07/30 12:03:35 - mmengine - INFO - Saving checkpoint at 4 epochs
2023/07/30 12:05:47 - mmengine - INFO - Epoch(val)  [4][100/155]    eta: 0:01:04  time: 1.1497  data_time: 0.0461  memory: 18758  
2023/07/30 12:06:50 - mmengine - INFO - Epoch(val) [4][155/155]    acc/top1: 0.6989  acc/top5: 0.9135  acc/mean1: 0.6987  data_time: 0.0514  time: 1.1554
2023/07/30 12:06:50 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_3.pth is removed
2023/07/30 12:06:58 - mmengine - INFO - The best checkpoint with 0.6989 acc/top1 at 4 epoch is saved to best_acc_top1_epoch_4.pth.
2023/07/30 12:07:52 - mmengine - INFO - Epoch(train)  [5][ 100/1879]  base_lr: 4.0626e-06 lr: 4.0626e-06  eta: 9:46:09  time: 0.3635  data_time: 0.1072  memory: 18758  loss: 1.2623  sim_loss_v2t: 0.6285  sim_loss_t2v: 0.6337
2023/07/30 12:08:35 - mmengine - INFO - Epoch(train)  [5][ 200/1879]  base_lr: 4.1153e-06 lr: 4.1153e-06  eta: 9:45:48  time: 0.5679  data_time: 0.3176  memory: 8783  loss: 1.2507  sim_loss_v2t: 0.6198  sim_loss_t2v: 0.6309
2023/07/30 12:09:13 - mmengine - INFO - Epoch(train)  [5][ 300/1879]  base_lr: 4.1680e-06 lr: 4.1680e-06  eta: 9:44:45  time: 0.3158  data_time: 0.0236  memory: 8783  loss: 1.2718  sim_loss_v2t: 0.6280  sim_loss_t2v: 0.6438
2023/07/30 12:09:56 - mmengine - INFO - Epoch(train)  [5][ 400/1879]  base_lr: 4.2207e-06 lr: 4.2207e-06  eta: 9:44:22  time: 0.4102  data_time: 0.0263  memory: 8783  loss: 1.2463  sim_loss_v2t: 0.6184  sim_loss_t2v: 0.6279
2023/07/30 12:10:29 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 12:10:35 - mmengine - INFO - Epoch(train)  [5][ 500/1879]  base_lr: 4.2734e-06 lr: 4.2734e-06  eta: 9:43:24  time: 0.3417  data_time: 0.0240  memory: 8783  loss: 1.2545  sim_loss_v2t: 0.6270  sim_loss_t2v: 0.6275
2023/07/30 12:11:16 - mmengine - INFO - Epoch(train)  [5][ 600/1879]  base_lr: 4.3261e-06 lr: 4.3261e-06  eta: 9:42:52  time: 0.4910  data_time: 0.0257  memory: 8783  loss: 1.2578  sim_loss_v2t: 0.6260  sim_loss_t2v: 0.6318
2023/07/30 12:11:55 - mmengine - INFO - Epoch(train)  [5][ 700/1879]  base_lr: 4.3787e-06 lr: 4.3787e-06  eta: 9:41:53  time: 0.3153  data_time: 0.0237  memory: 8783  loss: 1.2435  sim_loss_v2t: 0.6200  sim_loss_t2v: 0.6235
2023/07/30 12:12:37 - mmengine - INFO - Epoch(train)  [5][ 800/1879]  base_lr: 4.4314e-06 lr: 4.4314e-06  eta: 9:41:18  time: 0.4415  data_time: 0.0302  memory: 8783  loss: 1.2789  sim_loss_v2t: 0.6360  sim_loss_t2v: 0.6429
2023/07/30 12:13:16 - mmengine - INFO - Epoch(train)  [5][ 900/1879]  base_lr: 4.4841e-06 lr: 4.4841e-06  eta: 9:40:23  time: 0.3979  data_time: 0.0611  memory: 8783  loss: 1.2901  sim_loss_v2t: 0.6433  sim_loss_t2v: 0.6468
2023/07/30 12:13:54 - mmengine - INFO - Epoch(train)  [5][1000/1879]  base_lr: 4.5368e-06 lr: 4.5368e-06  eta: 9:39:14  time: 0.3301  data_time: 0.0253  memory: 8783  loss: 1.2782  sim_loss_v2t: 0.6318  sim_loss_t2v: 0.6464
2023/07/30 12:14:35 - mmengine - INFO - Epoch(train)  [5][1100/1879]  base_lr: 4.5895e-06 lr: 4.5895e-06  eta: 9:38:37  time: 0.3921  data_time: 0.0309  memory: 8783  loss: 1.2739  sim_loss_v2t: 0.6351  sim_loss_t2v: 0.6388
2023/07/30 12:15:14 - mmengine - INFO - Epoch(train)  [5][1200/1879]  base_lr: 4.6422e-06 lr: 4.6422e-06  eta: 9:37:44  time: 0.3282  data_time: 0.0269  memory: 8783  loss: 1.2697  sim_loss_v2t: 0.6327  sim_loss_t2v: 0.6369
2023/07/30 12:15:57 - mmengine - INFO - Epoch(train)  [5][1300/1879]  base_lr: 4.6949e-06 lr: 4.6949e-06  eta: 9:37:20  time: 0.4810  data_time: 0.0239  memory: 8783  loss: 1.2640  sim_loss_v2t: 0.6285  sim_loss_t2v: 0.6355
2023/07/30 12:16:36 - mmengine - INFO - Epoch(train)  [5][1400/1879]  base_lr: 4.7476e-06 lr: 4.7476e-06  eta: 9:36:20  time: 0.3701  data_time: 0.0245  memory: 8783  loss: 1.2600  sim_loss_v2t: 0.6258  sim_loss_t2v: 0.6342
2023/07/30 12:17:11 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 12:17:18 - mmengine - INFO - Epoch(train)  [5][1500/1879]  base_lr: 4.8003e-06 lr: 4.8003e-06  eta: 9:35:53  time: 0.5049  data_time: 0.0231  memory: 8783  loss: 1.2658  sim_loss_v2t: 0.6285  sim_loss_t2v: 0.6374
2023/07/30 12:17:57 - mmengine - INFO - Epoch(train)  [5][1600/1879]  base_lr: 4.8530e-06 lr: 4.8530e-06  eta: 9:34:56  time: 0.4083  data_time: 0.0305  memory: 8783  loss: 1.2366  sim_loss_v2t: 0.6154  sim_loss_t2v: 0.6212
2023/07/30 12:18:36 - mmengine - INFO - Epoch(train)  [5][1700/1879]  base_lr: 4.9057e-06 lr: 4.9057e-06  eta: 9:34:03  time: 0.3586  data_time: 0.0226  memory: 8783  loss: 1.2370  sim_loss_v2t: 0.6102  sim_loss_t2v: 0.6268
2023/07/30 12:19:15 - mmengine - INFO - Epoch(train)  [5][1800/1879]  base_lr: 4.9584e-06 lr: 4.9584e-06  eta: 9:33:13  time: 0.3730  data_time: 0.0254  memory: 8783  loss: 1.3180  sim_loss_v2t: 0.6561  sim_loss_t2v: 0.6619
2023/07/30 12:19:42 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 12:19:42 - mmengine - INFO - Epoch(train)  [5][1879/1879]  base_lr: 5.0000e-06 lr: 5.0000e-06  eta: 9:31:53  time: 0.2058  data_time: 0.0116  memory: 8783  loss: 1.2516  sim_loss_v2t: 0.6124  sim_loss_t2v: 0.6393
2023/07/30 12:19:42 - mmengine - INFO - Saving checkpoint at 5 epochs
2023/07/30 12:21:54 - mmengine - INFO - Epoch(val)  [5][100/155]    eta: 0:01:04  time: 1.1484  data_time: 0.0436  memory: 18758  
2023/07/30 12:22:58 - mmengine - INFO - Epoch(val) [5][155/155]    acc/top1: 0.7006  acc/top5: 0.9090  acc/mean1: 0.7006  data_time: 0.0540  time: 1.1584
2023/07/30 12:22:58 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_4.pth is removed
2023/07/30 12:23:05 - mmengine - INFO - The best checkpoint with 0.7006 acc/top1 at 5 epoch is saved to best_acc_top1_epoch_5.pth.
2023/07/30 12:24:02 - mmengine - INFO - Epoch(train)  [6][ 100/1879]  base_lr: 5.0000e-06 lr: 5.0000e-06  eta: 9:31:30  time: 0.4713  data_time: 0.2379  memory: 18758  loss: 1.2647  sim_loss_v2t: 0.6242  sim_loss_t2v: 0.6404
2023/07/30 12:24:39 - mmengine - INFO - Epoch(train)  [6][ 200/1879]  base_lr: 4.9999e-06 lr: 4.9999e-06  eta: 9:30:21  time: 0.3841  data_time: 0.0781  memory: 8783  loss: 1.2081  sim_loss_v2t: 0.6023  sim_loss_t2v: 0.6058
2023/07/30 12:25:20 - mmengine - INFO - Epoch(train)  [6][ 300/1879]  base_lr: 4.9998e-06 lr: 4.9998e-06  eta: 9:29:40  time: 0.3887  data_time: 0.0428  memory: 8783  loss: 1.2254  sim_loss_v2t: 0.6027  sim_loss_t2v: 0.6227
2023/07/30 12:26:01 - mmengine - INFO - Epoch(train)  [6][ 400/1879]  base_lr: 4.9997e-06 lr: 4.9997e-06  eta: 9:28:59  time: 0.3865  data_time: 0.0293  memory: 8783  loss: 1.2106  sim_loss_v2t: 0.6042  sim_loss_t2v: 0.6063
2023/07/30 12:26:42 - mmengine - INFO - Epoch(train)  [6][ 500/1879]  base_lr: 4.9996e-06 lr: 4.9996e-06  eta: 9:28:21  time: 0.3989  data_time: 0.0232  memory: 8783  loss: 1.1725  sim_loss_v2t: 0.5808  sim_loss_t2v: 0.5916
2023/07/30 12:27:22 - mmengine - INFO - Epoch(train)  [6][ 600/1879]  base_lr: 4.9994e-06 lr: 4.9994e-06  eta: 9:27:42  time: 0.4463  data_time: 0.0279  memory: 8783  loss: 1.2142  sim_loss_v2t: 0.6069  sim_loss_t2v: 0.6073
2023/07/30 12:27:24 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 12:28:02 - mmengine - INFO - Epoch(train)  [6][ 700/1879]  base_lr: 4.9992e-06 lr: 4.9992e-06  eta: 9:26:51  time: 0.3625  data_time: 0.0768  memory: 8783  loss: 1.2083  sim_loss_v2t: 0.5976  sim_loss_t2v: 0.6107
2023/07/30 12:28:42 - mmengine - INFO - Epoch(train)  [6][ 800/1879]  base_lr: 4.9989e-06 lr: 4.9989e-06  eta: 9:26:06  time: 0.4388  data_time: 0.0607  memory: 8783  loss: 1.2180  sim_loss_v2t: 0.6088  sim_loss_t2v: 0.6092
2023/07/30 12:29:22 - mmengine - INFO - Epoch(train)  [6][ 900/1879]  base_lr: 4.9986e-06 lr: 4.9986e-06  eta: 9:25:21  time: 0.3966  data_time: 0.0229  memory: 8783  loss: 1.1816  sim_loss_v2t: 0.5907  sim_loss_t2v: 0.5909
2023/07/30 12:30:04 - mmengine - INFO - Epoch(train)  [6][1000/1879]  base_lr: 4.9983e-06 lr: 4.9983e-06  eta: 9:24:58  time: 0.5761  data_time: 0.0217  memory: 8783  loss: 1.2360  sim_loss_v2t: 0.6166  sim_loss_t2v: 0.6194
2023/07/30 12:30:43 - mmengine - INFO - Epoch(train)  [6][1100/1879]  base_lr: 4.9979e-06 lr: 4.9979e-06  eta: 9:24:01  time: 0.3776  data_time: 0.0283  memory: 8783  loss: 1.2673  sim_loss_v2t: 0.6287  sim_loss_t2v: 0.6386
2023/07/30 12:31:23 - mmengine - INFO - Epoch(train)  [6][1200/1879]  base_lr: 4.9975e-06 lr: 4.9975e-06  eta: 9:23:18  time: 0.3756  data_time: 0.0247  memory: 8783  loss: 1.1973  sim_loss_v2t: 0.5917  sim_loss_t2v: 0.6056
2023/07/30 12:32:04 - mmengine - INFO - Epoch(train)  [6][1300/1879]  base_lr: 4.9971e-06 lr: 4.9971e-06  eta: 9:22:41  time: 0.5145  data_time: 0.0256  memory: 8783  loss: 1.2111  sim_loss_v2t: 0.6008  sim_loss_t2v: 0.6103
2023/07/30 12:32:43 - mmengine - INFO - Epoch(train)  [6][1400/1879]  base_lr: 4.9966e-06 lr: 4.9966e-06  eta: 9:21:48  time: 0.3430  data_time: 0.0239  memory: 8783  loss: 1.2604  sim_loss_v2t: 0.6237  sim_loss_t2v: 0.6367
2023/07/30 12:33:22 - mmengine - INFO - Epoch(train)  [6][1500/1879]  base_lr: 4.9961e-06 lr: 4.9961e-06  eta: 9:20:52  time: 0.3465  data_time: 0.0250  memory: 8783  loss: 1.2348  sim_loss_v2t: 0.6148  sim_loss_t2v: 0.6200
2023/07/30 12:34:04 - mmengine - INFO - Epoch(train)  [6][1600/1879]  base_lr: 4.9956e-06 lr: 4.9956e-06  eta: 9:20:27  time: 0.3999  data_time: 0.1251  memory: 8783  loss: 1.2559  sim_loss_v2t: 0.6284  sim_loss_t2v: 0.6275
2023/07/30 12:34:06 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 12:34:45 - mmengine - INFO - Epoch(train)  [6][1700/1879]  base_lr: 4.9950e-06 lr: 4.9950e-06  eta: 9:19:45  time: 0.4045  data_time: 0.0303  memory: 8783  loss: 1.2000  sim_loss_v2t: 0.5942  sim_loss_t2v: 0.6058
2023/07/30 12:35:24 - mmengine - INFO - Epoch(train)  [6][1800/1879]  base_lr: 4.9944e-06 lr: 4.9944e-06  eta: 9:18:58  time: 0.2900  data_time: 0.0250  memory: 8783  loss: 1.1894  sim_loss_v2t: 0.5908  sim_loss_t2v: 0.5986
2023/07/30 12:35:51 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 12:35:51 - mmengine - INFO - Epoch(train)  [6][1879/1879]  base_lr: 4.9939e-06 lr: 4.9939e-06  eta: 9:17:48  time: 0.1779  data_time: 0.0109  memory: 8783  loss: 1.1684  sim_loss_v2t: 0.5821  sim_loss_t2v: 0.5863
2023/07/30 12:35:51 - mmengine - INFO - Saving checkpoint at 6 epochs
2023/07/30 12:38:04 - mmengine - INFO - Epoch(val)  [6][100/155]    eta: 0:01:04  time: 1.1472  data_time: 0.0429  memory: 18758  
2023/07/30 12:39:08 - mmengine - INFO - Epoch(val) [6][155/155]    acc/top1: 0.7105  acc/top5: 0.9136  acc/mean1: 0.7106  data_time: 0.0508  time: 1.1555
2023/07/30 12:39:08 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_5.pth is removed
2023/07/30 12:39:15 - mmengine - INFO - The best checkpoint with 0.7105 acc/top1 at 6 epoch is saved to best_acc_top1_epoch_6.pth.
2023/07/30 12:40:10 - mmengine - INFO - Epoch(train)  [7][ 100/1879]  base_lr: 4.9933e-06 lr: 4.9933e-06  eta: 9:17:21  time: 0.3485  data_time: 0.0415  memory: 18758  loss: 1.1487  sim_loss_v2t: 0.5687  sim_loss_t2v: 0.5800
2023/07/30 12:40:49 - mmengine - INFO - Epoch(train)  [7][ 200/1879]  base_lr: 4.9926e-06 lr: 4.9926e-06  eta: 9:16:30  time: 0.3496  data_time: 0.0226  memory: 8783  loss: 1.1970  sim_loss_v2t: 0.5975  sim_loss_t2v: 0.5995
2023/07/30 12:41:30 - mmengine - INFO - Epoch(train)  [7][ 300/1879]  base_lr: 4.9918e-06 lr: 4.9918e-06  eta: 9:15:58  time: 0.4762  data_time: 0.0234  memory: 8783  loss: 1.1177  sim_loss_v2t: 0.5570  sim_loss_t2v: 0.5607
2023/07/30 12:42:10 - mmengine - INFO - Epoch(train)  [7][ 400/1879]  base_lr: 4.9911e-06 lr: 4.9911e-06  eta: 9:15:13  time: 0.4101  data_time: 0.0441  memory: 8783  loss: 1.1519  sim_loss_v2t: 0.5725  sim_loss_t2v: 0.5795
2023/07/30 12:42:48 - mmengine - INFO - Epoch(train)  [7][ 500/1879]  base_lr: 4.9902e-06 lr: 4.9902e-06  eta: 9:14:15  time: 0.3662  data_time: 0.0227  memory: 8783  loss: 1.1843  sim_loss_v2t: 0.5889  sim_loss_t2v: 0.5954
2023/07/30 12:43:30 - mmengine - INFO - Epoch(train)  [7][ 600/1879]  base_lr: 4.9894e-06 lr: 4.9894e-06  eta: 9:13:46  time: 0.3531  data_time: 0.0242  memory: 8783  loss: 1.1719  sim_loss_v2t: 0.5797  sim_loss_t2v: 0.5922
2023/07/30 12:44:13 - mmengine - INFO - Epoch(train)  [7][ 700/1879]  base_lr: 4.9885e-06 lr: 4.9885e-06  eta: 9:13:20  time: 0.4199  data_time: 0.0236  memory: 8783  loss: 1.1962  sim_loss_v2t: 0.5890  sim_loss_t2v: 0.6072
2023/07/30 12:44:23 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 12:44:51 - mmengine - INFO - Epoch(train)  [7][ 800/1879]  base_lr: 4.9876e-06 lr: 4.9876e-06  eta: 9:12:25  time: 0.3729  data_time: 0.0284  memory: 8783  loss: 1.1827  sim_loss_v2t: 0.5918  sim_loss_t2v: 0.5909
2023/07/30 12:45:32 - mmengine - INFO - Epoch(train)  [7][ 900/1879]  base_lr: 4.9867e-06 lr: 4.9867e-06  eta: 9:11:47  time: 0.3474  data_time: 0.0890  memory: 8783  loss: 1.1845  sim_loss_v2t: 0.5909  sim_loss_t2v: 0.5936
2023/07/30 12:46:13 - mmengine - INFO - Epoch(train)  [7][1000/1879]  base_lr: 4.9857e-06 lr: 4.9857e-06  eta: 9:11:06  time: 0.3132  data_time: 0.0212  memory: 8783  loss: 1.1971  sim_loss_v2t: 0.5994  sim_loss_t2v: 0.5977
2023/07/30 12:46:51 - mmengine - INFO - Epoch(train)  [7][1100/1879]  base_lr: 4.9847e-06 lr: 4.9847e-06  eta: 9:10:12  time: 0.3808  data_time: 0.0987  memory: 8783  loss: 1.1762  sim_loss_v2t: 0.5823  sim_loss_t2v: 0.5939
2023/07/30 12:47:31 - mmengine - INFO - Epoch(train)  [7][1200/1879]  base_lr: 4.9837e-06 lr: 4.9837e-06  eta: 9:09:26  time: 0.3741  data_time: 0.0254  memory: 8783  loss: 1.2443  sim_loss_v2t: 0.6192  sim_loss_t2v: 0.6251
2023/07/30 12:48:13 - mmengine - INFO - Epoch(train)  [7][1300/1879]  base_lr: 4.9826e-06 lr: 4.9826e-06  eta: 9:08:58  time: 0.3799  data_time: 0.0277  memory: 8783  loss: 1.2026  sim_loss_v2t: 0.5995  sim_loss_t2v: 0.6031
2023/07/30 12:48:52 - mmengine - INFO - Epoch(train)  [7][1400/1879]  base_lr: 4.9815e-06 lr: 4.9815e-06  eta: 9:08:05  time: 0.3830  data_time: 0.0263  memory: 8783  loss: 1.1974  sim_loss_v2t: 0.5993  sim_loss_t2v: 0.5981
2023/07/30 12:49:34 - mmengine - INFO - Epoch(train)  [7][1500/1879]  base_lr: 4.9803e-06 lr: 4.9803e-06  eta: 9:07:36  time: 0.4611  data_time: 0.0243  memory: 8783  loss: 1.1417  sim_loss_v2t: 0.5618  sim_loss_t2v: 0.5799
2023/07/30 12:50:12 - mmengine - INFO - Epoch(train)  [7][1600/1879]  base_lr: 4.9792e-06 lr: 4.9792e-06  eta: 9:06:40  time: 0.3225  data_time: 0.0247  memory: 8783  loss: 1.1264  sim_loss_v2t: 0.5607  sim_loss_t2v: 0.5656
2023/07/30 12:50:52 - mmengine - INFO - Epoch(train)  [7][1700/1879]  base_lr: 4.9779e-06 lr: 4.9779e-06  eta: 9:06:00  time: 0.3646  data_time: 0.0252  memory: 8783  loss: 1.1557  sim_loss_v2t: 0.5742  sim_loss_t2v: 0.5815
2023/07/30 12:51:03 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 12:51:33 - mmengine - INFO - Epoch(train)  [7][1800/1879]  base_lr: 4.9767e-06 lr: 4.9767e-06  eta: 9:05:18  time: 0.3856  data_time: 0.0268  memory: 8783  loss: 1.1650  sim_loss_v2t: 0.5800  sim_loss_t2v: 0.5850
2023/07/30 12:52:00 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 12:52:00 - mmengine - INFO - Epoch(train)  [7][1879/1879]  base_lr: 4.9757e-06 lr: 4.9757e-06  eta: 9:04:19  time: 0.2328  data_time: 0.0113  memory: 8783  loss: 1.1738  sim_loss_v2t: 0.5838  sim_loss_t2v: 0.5901
2023/07/30 12:52:00 - mmengine - INFO - Saving checkpoint at 7 epochs
2023/07/30 12:54:12 - mmengine - INFO - Epoch(val)  [7][100/155]    eta: 0:01:04  time: 1.1508  data_time: 0.0461  memory: 18758  
2023/07/30 12:55:16 - mmengine - INFO - Epoch(val) [7][155/155]    acc/top1: 0.7216  acc/top5: 0.9199  acc/mean1: 0.7215  data_time: 0.0489  time: 1.1547
2023/07/30 12:55:16 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_6.pth is removed
2023/07/30 12:55:24 - mmengine - INFO - The best checkpoint with 0.7216 acc/top1 at 7 epoch is saved to best_acc_top1_epoch_7.pth.
2023/07/30 12:56:18 - mmengine - INFO - Epoch(train)  [8][ 100/1879]  base_lr: 4.9744e-06 lr: 4.9744e-06  eta: 9:03:41  time: 0.3800  data_time: 0.0269  memory: 18758  loss: 1.1755  sim_loss_v2t: 0.5843  sim_loss_t2v: 0.5913
2023/07/30 12:57:01 - mmengine - INFO - Epoch(train)  [8][ 200/1879]  base_lr: 4.9730e-06 lr: 4.9730e-06  eta: 9:03:16  time: 0.6035  data_time: 0.0160  memory: 8783  loss: 1.1439  sim_loss_v2t: 0.5671  sim_loss_t2v: 0.5768
2023/07/30 12:57:38 - mmengine - INFO - Epoch(train)  [8][ 300/1879]  base_lr: 4.9717e-06 lr: 4.9717e-06  eta: 9:02:13  time: 0.4006  data_time: 0.0272  memory: 8783  loss: 1.1510  sim_loss_v2t: 0.5719  sim_loss_t2v: 0.5791
2023/07/30 12:58:21 - mmengine - INFO - Epoch(train)  [8][ 400/1879]  base_lr: 4.9702e-06 lr: 4.9702e-06  eta: 9:01:47  time: 0.4277  data_time: 0.0274  memory: 8783  loss: 1.1266  sim_loss_v2t: 0.5583  sim_loss_t2v: 0.5684
2023/07/30 12:59:01 - mmengine - INFO - Epoch(train)  [8][ 500/1879]  base_lr: 4.9688e-06 lr: 4.9688e-06  eta: 9:01:04  time: 0.3617  data_time: 0.0214  memory: 8783  loss: 1.1160  sim_loss_v2t: 0.5578  sim_loss_t2v: 0.5582
2023/07/30 12:59:40 - mmengine - INFO - Epoch(train)  [8][ 600/1879]  base_lr: 4.9673e-06 lr: 4.9673e-06  eta: 9:00:19  time: 0.4493  data_time: 0.0406  memory: 8783  loss: 1.1283  sim_loss_v2t: 0.5574  sim_loss_t2v: 0.5709
2023/07/30 13:00:20 - mmengine - INFO - Epoch(train)  [8][ 700/1879]  base_lr: 4.9658e-06 lr: 4.9658e-06  eta: 8:59:33  time: 0.3632  data_time: 0.0669  memory: 8783  loss: 1.1573  sim_loss_v2t: 0.5815  sim_loss_t2v: 0.5758
2023/07/30 13:01:00 - mmengine - INFO - Epoch(train)  [8][ 800/1879]  base_lr: 4.9643e-06 lr: 4.9643e-06  eta: 8:58:52  time: 0.4136  data_time: 0.0284  memory: 8783  loss: 1.1705  sim_loss_v2t: 0.5816  sim_loss_t2v: 0.5890
2023/07/30 13:01:19 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 13:01:43 - mmengine - INFO - Epoch(train)  [8][ 900/1879]  base_lr: 4.9627e-06 lr: 4.9627e-06  eta: 8:58:26  time: 0.4872  data_time: 0.0879  memory: 8783  loss: 1.1055  sim_loss_v2t: 0.5490  sim_loss_t2v: 0.5564
2023/07/30 13:02:21 - mmengine - INFO - Epoch(train)  [8][1000/1879]  base_lr: 4.9611e-06 lr: 4.9611e-06  eta: 8:57:33  time: 0.3934  data_time: 0.0307  memory: 8783  loss: 1.1419  sim_loss_v2t: 0.5680  sim_loss_t2v: 0.5739
2023/07/30 13:03:02 - mmengine - INFO - Epoch(train)  [8][1100/1879]  base_lr: 4.9594e-06 lr: 4.9594e-06  eta: 8:56:52  time: 0.4038  data_time: 0.1151  memory: 8783  loss: 1.1181  sim_loss_v2t: 0.5562  sim_loss_t2v: 0.5620
2023/07/30 13:03:41 - mmengine - INFO - Epoch(train)  [8][1200/1879]  base_lr: 4.9577e-06 lr: 4.9577e-06  eta: 8:56:05  time: 0.4160  data_time: 0.1345  memory: 8783  loss: 1.1735  sim_loss_v2t: 0.5775  sim_loss_t2v: 0.5960
2023/07/30 13:04:20 - mmengine - INFO - Epoch(train)  [8][1300/1879]  base_lr: 4.9560e-06 lr: 4.9560e-06  eta: 8:55:19  time: 0.4225  data_time: 0.0280  memory: 8783  loss: 1.2029  sim_loss_v2t: 0.5955  sim_loss_t2v: 0.6074
2023/07/30 13:05:00 - mmengine - INFO - Epoch(train)  [8][1400/1879]  base_lr: 4.9542e-06 lr: 4.9542e-06  eta: 8:54:36  time: 0.3577  data_time: 0.0299  memory: 8783  loss: 1.1334  sim_loss_v2t: 0.5654  sim_loss_t2v: 0.5680
2023/07/30 13:05:41 - mmengine - INFO - Epoch(train)  [8][1500/1879]  base_lr: 4.9525e-06 lr: 4.9525e-06  eta: 8:53:56  time: 0.3833  data_time: 0.0446  memory: 8783  loss: 1.1038  sim_loss_v2t: 0.5491  sim_loss_t2v: 0.5547
2023/07/30 13:06:22 - mmengine - INFO - Epoch(train)  [8][1600/1879]  base_lr: 4.9506e-06 lr: 4.9506e-06  eta: 8:53:22  time: 0.3837  data_time: 0.0358  memory: 8783  loss: 1.1449  sim_loss_v2t: 0.5706  sim_loss_t2v: 0.5743
2023/07/30 13:07:01 - mmengine - INFO - Epoch(train)  [8][1700/1879]  base_lr: 4.9488e-06 lr: 4.9488e-06  eta: 8:52:30  time: 0.3034  data_time: 0.0203  memory: 8783  loss: 1.1411  sim_loss_v2t: 0.5693  sim_loss_t2v: 0.5719
2023/07/30 13:07:42 - mmengine - INFO - Epoch(train)  [8][1800/1879]  base_lr: 4.9469e-06 lr: 4.9469e-06  eta: 8:51:52  time: 0.4058  data_time: 0.0289  memory: 8783  loss: 1.1400  sim_loss_v2t: 0.5631  sim_loss_t2v: 0.5769
2023/07/30 13:08:00 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 13:08:08 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 13:08:08 - mmengine - INFO - Epoch(train)  [8][1879/1879]  base_lr: 4.9454e-06 lr: 4.9454e-06  eta: 8:50:50  time: 0.1858  data_time: 0.0117  memory: 8783  loss: 1.1149  sim_loss_v2t: 0.5571  sim_loss_t2v: 0.5579
2023/07/30 13:08:08 - mmengine - INFO - Saving checkpoint at 8 epochs
2023/07/30 13:10:20 - mmengine - INFO - Epoch(val)  [8][100/155]    eta: 0:01:04  time: 1.1480  data_time: 0.0424  memory: 18758  
2023/07/30 13:11:23 - mmengine - INFO - Epoch(val) [8][155/155]    acc/top1: 0.7327  acc/top5: 0.9226  acc/mean1: 0.7327  data_time: 0.0508  time: 1.1569
2023/07/30 13:11:24 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_7.pth is removed
2023/07/30 13:11:31 - mmengine - INFO - The best checkpoint with 0.7327 acc/top1 at 8 epoch is saved to best_acc_top1_epoch_8.pth.
2023/07/30 13:12:29 - mmengine - INFO - Epoch(train)  [9][ 100/1879]  base_lr: 4.9434e-06 lr: 4.9434e-06  eta: 8:50:36  time: 0.5111  data_time: 0.2659  memory: 18758  loss: 1.1789  sim_loss_v2t: 0.5821  sim_loss_t2v: 0.5968
2023/07/30 13:13:09 - mmengine - INFO - Epoch(train)  [9][ 200/1879]  base_lr: 4.9415e-06 lr: 4.9415e-06  eta: 8:49:54  time: 0.4143  data_time: 0.1705  memory: 8783  loss: 1.1132  sim_loss_v2t: 0.5511  sim_loss_t2v: 0.5620
2023/07/30 13:13:47 - mmengine - INFO - Epoch(train)  [9][ 300/1879]  base_lr: 4.9394e-06 lr: 4.9394e-06  eta: 8:49:02  time: 0.3561  data_time: 0.0929  memory: 8783  loss: 1.1131  sim_loss_v2t: 0.5502  sim_loss_t2v: 0.5629
2023/07/30 13:14:27 - mmengine - INFO - Epoch(train)  [9][ 400/1879]  base_lr: 4.9374e-06 lr: 4.9374e-06  eta: 8:48:20  time: 0.4018  data_time: 0.1099  memory: 8783  loss: 1.1533  sim_loss_v2t: 0.5728  sim_loss_t2v: 0.5805
2023/07/30 13:15:09 - mmengine - INFO - Epoch(train)  [9][ 500/1879]  base_lr: 4.9353e-06 lr: 4.9353e-06  eta: 8:47:47  time: 0.4916  data_time: 0.2156  memory: 8783  loss: 1.1404  sim_loss_v2t: 0.5637  sim_loss_t2v: 0.5767
2023/07/30 13:15:47 - mmengine - INFO - Epoch(train)  [9][ 600/1879]  base_lr: 4.9332e-06 lr: 4.9332e-06  eta: 8:46:53  time: 0.3276  data_time: 0.0224  memory: 8783  loss: 1.1300  sim_loss_v2t: 0.5624  sim_loss_t2v: 0.5676
2023/07/30 13:16:29 - mmengine - INFO - Epoch(train)  [9][ 700/1879]  base_lr: 4.9310e-06 lr: 4.9310e-06  eta: 8:46:23  time: 0.4698  data_time: 0.0314  memory: 8783  loss: 1.1014  sim_loss_v2t: 0.5498  sim_loss_t2v: 0.5515
2023/07/30 13:17:08 - mmengine - INFO - Epoch(train)  [9][ 800/1879]  base_lr: 4.9289e-06 lr: 4.9289e-06  eta: 8:45:35  time: 0.3911  data_time: 0.0856  memory: 8783  loss: 1.1323  sim_loss_v2t: 0.5596  sim_loss_t2v: 0.5727
2023/07/30 13:17:48 - mmengine - INFO - Epoch(train)  [9][ 900/1879]  base_lr: 4.9266e-06 lr: 4.9266e-06  eta: 8:44:53  time: 0.4321  data_time: 0.0242  memory: 8783  loss: 1.0678  sim_loss_v2t: 0.5317  sim_loss_t2v: 0.5361
2023/07/30 13:18:13 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 13:18:26 - mmengine - INFO - Epoch(train)  [9][1000/1879]  base_lr: 4.9244e-06 lr: 4.9244e-06  eta: 8:44:01  time: 0.3790  data_time: 0.0274  memory: 8783  loss: 1.0846  sim_loss_v2t: 0.5396  sim_loss_t2v: 0.5450
2023/07/30 13:19:05 - mmengine - INFO - Epoch(train)  [9][1100/1879]  base_lr: 4.9221e-06 lr: 4.9221e-06  eta: 8:43:16  time: 0.3683  data_time: 0.0253  memory: 8783  loss: 1.1340  sim_loss_v2t: 0.5671  sim_loss_t2v: 0.5668
2023/07/30 13:19:46 - mmengine - INFO - Epoch(train)  [9][1200/1879]  base_lr: 4.9198e-06 lr: 4.9198e-06  eta: 8:42:37  time: 0.3405  data_time: 0.0689  memory: 8783  loss: 1.0981  sim_loss_v2t: 0.5452  sim_loss_t2v: 0.5529
2023/07/30 13:20:27 - mmengine - INFO - Epoch(train)  [9][1300/1879]  base_lr: 4.9174e-06 lr: 4.9174e-06  eta: 8:42:01  time: 0.4149  data_time: 0.1168  memory: 8783  loss: 1.1268  sim_loss_v2t: 0.5613  sim_loss_t2v: 0.5656
2023/07/30 13:21:07 - mmengine - INFO - Epoch(train)  [9][1400/1879]  base_lr: 4.9151e-06 lr: 4.9151e-06  eta: 8:41:18  time: 0.4225  data_time: 0.0334  memory: 8783  loss: 1.1457  sim_loss_v2t: 0.5705  sim_loss_t2v: 0.5752
2023/07/30 13:21:47 - mmengine - INFO - Epoch(train)  [9][1500/1879]  base_lr: 4.9126e-06 lr: 4.9126e-06  eta: 8:40:36  time: 0.4500  data_time: 0.0241  memory: 8783  loss: 1.0690  sim_loss_v2t: 0.5357  sim_loss_t2v: 0.5332
2023/07/30 13:22:28 - mmengine - INFO - Epoch(train)  [9][1600/1879]  base_lr: 4.9102e-06 lr: 4.9102e-06  eta: 8:39:58  time: 0.3791  data_time: 0.0272  memory: 8783  loss: 1.0704  sim_loss_v2t: 0.5336  sim_loss_t2v: 0.5368
2023/07/30 13:23:08 - mmengine - INFO - Epoch(train)  [9][1700/1879]  base_lr: 4.9077e-06 lr: 4.9077e-06  eta: 8:39:15  time: 0.3762  data_time: 0.0246  memory: 8783  loss: 1.1112  sim_loss_v2t: 0.5496  sim_loss_t2v: 0.5616
2023/07/30 13:23:49 - mmengine - INFO - Epoch(train)  [9][1800/1879]  base_lr: 4.9052e-06 lr: 4.9052e-06  eta: 8:38:38  time: 0.3771  data_time: 0.0246  memory: 8783  loss: 1.1158  sim_loss_v2t: 0.5560  sim_loss_t2v: 0.5598
2023/07/30 13:24:15 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 13:24:15 - mmengine - INFO - Epoch(train)  [9][1879/1879]  base_lr: 4.9032e-06 lr: 4.9032e-06  eta: 8:37:42  time: 0.2549  data_time: 0.0110  memory: 8783  loss: 1.1185  sim_loss_v2t: 0.5595  sim_loss_t2v: 0.5590
2023/07/30 13:24:15 - mmengine - INFO - Saving checkpoint at 9 epochs
2023/07/30 13:26:27 - mmengine - INFO - Epoch(val)  [9][100/155]    eta: 0:01:04  time: 1.1469  data_time: 0.0427  memory: 18758  
2023/07/30 13:27:31 - mmengine - INFO - Epoch(val) [9][155/155]    acc/top1: 0.7311  acc/top5: 0.9248  acc/mean1: 0.7310  data_time: 0.0524  time: 1.1569
2023/07/30 13:28:16 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 13:28:19 - mmengine - INFO - Epoch(train) [10][ 100/1879]  base_lr: 4.9006e-06 lr: 4.9006e-06  eta: 8:37:35  time: 0.3715  data_time: 0.0276  memory: 18758  loss: 1.0994  sim_loss_v2t: 0.5485  sim_loss_t2v: 0.5509
2023/07/30 13:29:01 - mmengine - INFO - Epoch(train) [10][ 200/1879]  base_lr: 4.8980e-06 lr: 4.8980e-06  eta: 8:37:03  time: 0.5352  data_time: 0.0329  memory: 8783  loss: 1.1667  sim_loss_v2t: 0.5835  sim_loss_t2v: 0.5833
2023/07/30 13:29:40 - mmengine - INFO - Epoch(train) [10][ 300/1879]  base_lr: 4.8954e-06 lr: 4.8954e-06  eta: 8:36:15  time: 0.4000  data_time: 0.0276  memory: 8783  loss: 1.1258  sim_loss_v2t: 0.5616  sim_loss_t2v: 0.5643
2023/07/30 13:30:20 - mmengine - INFO - Epoch(train) [10][ 400/1879]  base_lr: 4.8927e-06 lr: 4.8927e-06  eta: 8:35:35  time: 0.3362  data_time: 0.0315  memory: 8783  loss: 1.0989  sim_loss_v2t: 0.5494  sim_loss_t2v: 0.5494
2023/07/30 13:30:59 - mmengine - INFO - Epoch(train) [10][ 500/1879]  base_lr: 4.8900e-06 lr: 4.8900e-06  eta: 8:34:46  time: 0.3326  data_time: 0.0256  memory: 8783  loss: 1.0815  sim_loss_v2t: 0.5392  sim_loss_t2v: 0.5424
2023/07/30 13:31:40 - mmengine - INFO - Epoch(train) [10][ 600/1879]  base_lr: 4.8872e-06 lr: 4.8872e-06  eta: 8:34:09  time: 0.3660  data_time: 0.0235  memory: 8783  loss: 1.1272  sim_loss_v2t: 0.5609  sim_loss_t2v: 0.5664
2023/07/30 13:32:21 - mmengine - INFO - Epoch(train) [10][ 700/1879]  base_lr: 4.8844e-06 lr: 4.8844e-06  eta: 8:33:31  time: 0.5076  data_time: 0.1438  memory: 8783  loss: 1.1008  sim_loss_v2t: 0.5493  sim_loss_t2v: 0.5515
2023/07/30 13:33:00 - mmengine - INFO - Epoch(train) [10][ 800/1879]  base_lr: 4.8816e-06 lr: 4.8816e-06  eta: 8:32:45  time: 0.3316  data_time: 0.0607  memory: 8783  loss: 1.0619  sim_loss_v2t: 0.5340  sim_loss_t2v: 0.5280
2023/07/30 13:33:38 - mmengine - INFO - Epoch(train) [10][ 900/1879]  base_lr: 4.8788e-06 lr: 4.8788e-06  eta: 8:31:56  time: 0.3374  data_time: 0.0478  memory: 8783  loss: 1.1143  sim_loss_v2t: 0.5592  sim_loss_t2v: 0.5551
2023/07/30 13:34:19 - mmengine - INFO - Epoch(train) [10][1000/1879]  base_lr: 4.8759e-06 lr: 4.8759e-06  eta: 8:31:18  time: 0.4148  data_time: 0.1252  memory: 8783  loss: 1.0766  sim_loss_v2t: 0.5374  sim_loss_t2v: 0.5391
2023/07/30 13:34:54 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 13:34:59 - mmengine - INFO - Epoch(train) [10][1100/1879]  base_lr: 4.8730e-06 lr: 4.8730e-06  eta: 8:30:35  time: 0.4133  data_time: 0.1155  memory: 8783  loss: 1.0937  sim_loss_v2t: 0.5452  sim_loss_t2v: 0.5485
2023/07/30 13:35:39 - mmengine - INFO - Epoch(train) [10][1200/1879]  base_lr: 4.8701e-06 lr: 4.8701e-06  eta: 8:29:54  time: 0.3817  data_time: 0.1051  memory: 8783  loss: 1.1112  sim_loss_v2t: 0.5540  sim_loss_t2v: 0.5573
2023/07/30 13:36:24 - mmengine - INFO - Epoch(train) [10][1300/1879]  base_lr: 4.8671e-06 lr: 4.8671e-06  eta: 8:29:31  time: 0.3415  data_time: 0.0249  memory: 8783  loss: 1.0935  sim_loss_v2t: 0.5436  sim_loss_t2v: 0.5499
2023/07/30 13:37:04 - mmengine - INFO - Epoch(train) [10][1400/1879]  base_lr: 4.8641e-06 lr: 4.8641e-06  eta: 8:28:50  time: 0.4077  data_time: 0.0278  memory: 8783  loss: 1.0499  sim_loss_v2t: 0.5222  sim_loss_t2v: 0.5277
2023/07/30 13:37:48 - mmengine - INFO - Epoch(train) [10][1500/1879]  base_lr: 4.8611e-06 lr: 4.8611e-06  eta: 8:28:27  time: 0.6377  data_time: 0.3405  memory: 8783  loss: 1.0947  sim_loss_v2t: 0.5453  sim_loss_t2v: 0.5494
2023/07/30 13:38:30 - mmengine - INFO - Epoch(train) [10][1600/1879]  base_lr: 4.8580e-06 lr: 4.8580e-06  eta: 8:27:51  time: 0.5334  data_time: 0.2787  memory: 8783  loss: 1.0895  sim_loss_v2t: 0.5427  sim_loss_t2v: 0.5468
2023/07/30 13:39:08 - mmengine - INFO - Epoch(train) [10][1700/1879]  base_lr: 4.8549e-06 lr: 4.8549e-06  eta: 8:27:00  time: 0.3767  data_time: 0.0834  memory: 8783  loss: 1.0789  sim_loss_v2t: 0.5363  sim_loss_t2v: 0.5426
2023/07/30 13:39:48 - mmengine - INFO - Epoch(train) [10][1800/1879]  base_lr: 4.8518e-06 lr: 4.8518e-06  eta: 8:26:18  time: 0.4182  data_time: 0.0606  memory: 8783  loss: 1.0742  sim_loss_v2t: 0.5347  sim_loss_t2v: 0.5395
2023/07/30 13:40:15 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 13:40:15 - mmengine - INFO - Epoch(train) [10][1879/1879]  base_lr: 4.8493e-06 lr: 4.8493e-06  eta: 8:25:26  time: 0.1885  data_time: 0.0283  memory: 8783  loss: 1.0588  sim_loss_v2t: 0.5268  sim_loss_t2v: 0.5320
2023/07/30 13:40:15 - mmengine - INFO - Saving checkpoint at 10 epochs
2023/07/30 13:42:27 - mmengine - INFO - Epoch(val) [10][100/155]    eta: 0:01:04  time: 1.1519  data_time: 0.0475  memory: 18758  
2023/07/30 13:43:30 - mmengine - INFO - Epoch(val) [10][155/155]    acc/top1: 0.7353  acc/top5: 0.9249  acc/mean1: 0.7352  data_time: 0.0500  time: 1.1545
2023/07/30 13:43:30 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_8.pth is removed
2023/07/30 13:43:38 - mmengine - INFO - The best checkpoint with 0.7353 acc/top1 at 10 epoch is saved to best_acc_top1_epoch_10.pth.
2023/07/30 13:44:31 - mmengine - INFO - Epoch(train) [11][ 100/1879]  base_lr: 4.8461e-06 lr: 4.8461e-06  eta: 8:24:49  time: 0.4589  data_time: 0.1268  memory: 18758  loss: 1.0365  sim_loss_v2t: 0.5168  sim_loss_t2v: 0.5197
2023/07/30 13:45:14 - mmengine - INFO - Epoch(train) [11][ 200/1879]  base_lr: 4.8428e-06 lr: 4.8428e-06  eta: 8:24:19  time: 0.5442  data_time: 0.0151  memory: 8783  loss: 0.9947  sim_loss_v2t: 0.4929  sim_loss_t2v: 0.5018
2023/07/30 13:45:16 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 13:45:52 - mmengine - INFO - Epoch(train) [11][ 300/1879]  base_lr: 4.8396e-06 lr: 4.8396e-06  eta: 8:23:31  time: 0.4028  data_time: 0.0270  memory: 8783  loss: 1.0652  sim_loss_v2t: 0.5299  sim_loss_t2v: 0.5353
2023/07/30 13:46:30 - mmengine - INFO - Epoch(train) [11][ 400/1879]  base_lr: 4.8363e-06 lr: 4.8363e-06  eta: 8:22:40  time: 0.3198  data_time: 0.0250  memory: 8783  loss: 1.0502  sim_loss_v2t: 0.5226  sim_loss_t2v: 0.5276
2023/07/30 13:47:13 - mmengine - INFO - Epoch(train) [11][ 500/1879]  base_lr: 4.8330e-06 lr: 4.8330e-06  eta: 8:22:09  time: 0.3841  data_time: 0.0297  memory: 8783  loss: 1.0970  sim_loss_v2t: 0.5523  sim_loss_t2v: 0.5447
2023/07/30 13:47:53 - mmengine - INFO - Epoch(train) [11][ 600/1879]  base_lr: 4.8296e-06 lr: 4.8296e-06  eta: 8:21:27  time: 0.3571  data_time: 0.0304  memory: 8783  loss: 1.0562  sim_loss_v2t: 0.5212  sim_loss_t2v: 0.5350
2023/07/30 13:48:35 - mmengine - INFO - Epoch(train) [11][ 700/1879]  base_lr: 4.8262e-06 lr: 4.8262e-06  eta: 8:20:54  time: 0.5141  data_time: 0.0194  memory: 8783  loss: 1.0681  sim_loss_v2t: 0.5335  sim_loss_t2v: 0.5347
2023/07/30 13:49:16 - mmengine - INFO - Epoch(train) [11][ 800/1879]  base_lr: 4.8228e-06 lr: 4.8228e-06  eta: 8:20:15  time: 0.4795  data_time: 0.0244  memory: 8783  loss: 1.0471  sim_loss_v2t: 0.5250  sim_loss_t2v: 0.5221
2023/07/30 13:49:53 - mmengine - INFO - Epoch(train) [11][ 900/1879]  base_lr: 4.8194e-06 lr: 4.8194e-06  eta: 8:19:25  time: 0.3512  data_time: 0.0286  memory: 8783  loss: 1.1125  sim_loss_v2t: 0.5504  sim_loss_t2v: 0.5621
2023/07/30 13:50:34 - mmengine - INFO - Epoch(train) [11][1000/1879]  base_lr: 4.8159e-06 lr: 4.8159e-06  eta: 8:18:46  time: 0.3654  data_time: 0.0240  memory: 8783  loss: 1.0376  sim_loss_v2t: 0.5231  sim_loss_t2v: 0.5145
2023/07/30 13:51:15 - mmengine - INFO - Epoch(train) [11][1100/1879]  base_lr: 4.8124e-06 lr: 4.8124e-06  eta: 8:18:09  time: 0.3322  data_time: 0.0165  memory: 8783  loss: 1.0260  sim_loss_v2t: 0.5132  sim_loss_t2v: 0.5128
2023/07/30 13:51:54 - mmengine - INFO - Epoch(train) [11][1200/1879]  base_lr: 4.8088e-06 lr: 4.8088e-06  eta: 8:17:23  time: 0.4000  data_time: 0.0417  memory: 8783  loss: 1.0888  sim_loss_v2t: 0.5348  sim_loss_t2v: 0.5540
2023/07/30 13:51:59 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 13:52:35 - mmengine - INFO - Epoch(train) [11][1300/1879]  base_lr: 4.8052e-06 lr: 4.8052e-06  eta: 8:16:44  time: 0.4286  data_time: 0.0239  memory: 8783  loss: 1.0532  sim_loss_v2t: 0.5259  sim_loss_t2v: 0.5274
2023/07/30 13:53:15 - mmengine - INFO - Epoch(train) [11][1400/1879]  base_lr: 4.8016e-06 lr: 4.8016e-06  eta: 8:16:01  time: 0.2658  data_time: 0.0207  memory: 8783  loss: 1.0730  sim_loss_v2t: 0.5355  sim_loss_t2v: 0.5376
2023/07/30 13:53:55 - mmengine - INFO - Epoch(train) [11][1500/1879]  base_lr: 4.7980e-06 lr: 4.7980e-06  eta: 8:15:20  time: 0.4831  data_time: 0.0246  memory: 8783  loss: 1.0877  sim_loss_v2t: 0.5460  sim_loss_t2v: 0.5417
2023/07/30 13:54:33 - mmengine - INFO - Epoch(train) [11][1600/1879]  base_lr: 4.7943e-06 lr: 4.7943e-06  eta: 8:14:32  time: 0.3202  data_time: 0.0280  memory: 8783  loss: 1.0726  sim_loss_v2t: 0.5407  sim_loss_t2v: 0.5319
2023/07/30 13:55:14 - mmengine - INFO - Epoch(train) [11][1700/1879]  base_lr: 4.7906e-06 lr: 4.7906e-06  eta: 8:13:53  time: 0.4043  data_time: 0.0610  memory: 8783  loss: 1.0913  sim_loss_v2t: 0.5456  sim_loss_t2v: 0.5457
2023/07/30 13:55:55 - mmengine - INFO - Epoch(train) [11][1800/1879]  base_lr: 4.7869e-06 lr: 4.7869e-06  eta: 8:13:14  time: 0.3713  data_time: 0.1108  memory: 8783  loss: 1.1009  sim_loss_v2t: 0.5489  sim_loss_t2v: 0.5521
2023/07/30 13:56:23 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 13:56:23 - mmengine - INFO - Epoch(train) [11][1879/1879]  base_lr: 4.7839e-06 lr: 4.7839e-06  eta: 8:12:30  time: 0.1880  data_time: 0.0366  memory: 8783  loss: 1.0694  sim_loss_v2t: 0.5373  sim_loss_t2v: 0.5321
2023/07/30 13:56:23 - mmengine - INFO - Saving checkpoint at 11 epochs
2023/07/30 13:58:36 - mmengine - INFO - Epoch(val) [11][100/155]    eta: 0:01:04  time: 1.1571  data_time: 0.0469  memory: 18758  
2023/07/30 13:59:39 - mmengine - INFO - Epoch(val) [11][155/155]    acc/top1: 0.7439  acc/top5: 0.9251  acc/mean1: 0.7439  data_time: 0.0505  time: 1.1558
2023/07/30 13:59:39 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_10.pth is removed
2023/07/30 13:59:47 - mmengine - INFO - The best checkpoint with 0.7439 acc/top1 at 11 epoch is saved to best_acc_top1_epoch_11.pth.
2023/07/30 14:00:44 - mmengine - INFO - Epoch(train) [12][ 100/1879]  base_lr: 4.7801e-06 lr: 4.7801e-06  eta: 8:11:59  time: 0.5117  data_time: 0.2581  memory: 18758  loss: 1.0259  sim_loss_v2t: 0.5108  sim_loss_t2v: 0.5151
2023/07/30 14:01:27 - mmengine - INFO - Epoch(train) [12][ 200/1879]  base_lr: 4.7763e-06 lr: 4.7763e-06  eta: 8:11:28  time: 0.6713  data_time: 0.0158  memory: 8783  loss: 1.0446  sim_loss_v2t: 0.5241  sim_loss_t2v: 0.5204
2023/07/30 14:02:06 - mmengine - INFO - Epoch(train) [12][ 300/1879]  base_lr: 4.7724e-06 lr: 4.7724e-06  eta: 8:10:41  time: 0.3744  data_time: 0.0786  memory: 8783  loss: 0.9847  sim_loss_v2t: 0.4881  sim_loss_t2v: 0.4967
2023/07/30 14:02:18 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 14:02:45 - mmengine - INFO - Epoch(train) [12][ 400/1879]  base_lr: 4.7685e-06 lr: 4.7685e-06  eta: 8:09:57  time: 0.4028  data_time: 0.0240  memory: 8783  loss: 1.0296  sim_loss_v2t: 0.5128  sim_loss_t2v: 0.5168
2023/07/30 14:03:25 - mmengine - INFO - Epoch(train) [12][ 500/1879]  base_lr: 4.7646e-06 lr: 4.7646e-06  eta: 8:09:17  time: 0.3914  data_time: 0.1414  memory: 8783  loss: 1.0310  sim_loss_v2t: 0.5136  sim_loss_t2v: 0.5174
2023/07/30 14:04:05 - mmengine - INFO - Epoch(train) [12][ 600/1879]  base_lr: 4.7607e-06 lr: 4.7607e-06  eta: 8:08:34  time: 0.2574  data_time: 0.0232  memory: 8783  loss: 1.0325  sim_loss_v2t: 0.5220  sim_loss_t2v: 0.5106
2023/07/30 14:04:47 - mmengine - INFO - Epoch(train) [12][ 700/1879]  base_lr: 4.7567e-06 lr: 4.7567e-06  eta: 8:08:00  time: 0.5009  data_time: 0.0233  memory: 8783  loss: 1.0369  sim_loss_v2t: 0.5159  sim_loss_t2v: 0.5210
2023/07/30 14:05:30 - mmengine - INFO - Epoch(train) [12][ 800/1879]  base_lr: 4.7527e-06 lr: 4.7527e-06  eta: 8:07:28  time: 0.5586  data_time: 0.0306  memory: 8783  loss: 1.0167  sim_loss_v2t: 0.5072  sim_loss_t2v: 0.5096
2023/07/30 14:06:08 - mmengine - INFO - Epoch(train) [12][ 900/1879]  base_lr: 4.7486e-06 lr: 4.7486e-06  eta: 8:06:38  time: 0.3636  data_time: 0.0237  memory: 8783  loss: 1.0490  sim_loss_v2t: 0.5226  sim_loss_t2v: 0.5264
2023/07/30 14:06:47 - mmengine - INFO - Epoch(train) [12][1000/1879]  base_lr: 4.7446e-06 lr: 4.7446e-06  eta: 8:05:56  time: 0.4315  data_time: 0.0242  memory: 8783  loss: 0.9915  sim_loss_v2t: 0.4940  sim_loss_t2v: 0.4975
2023/07/30 14:07:28 - mmengine - INFO - Epoch(train) [12][1100/1879]  base_lr: 4.7405e-06 lr: 4.7405e-06  eta: 8:05:15  time: 0.3650  data_time: 0.0254  memory: 8783  loss: 1.0536  sim_loss_v2t: 0.5220  sim_loss_t2v: 0.5316
2023/07/30 14:08:07 - mmengine - INFO - Epoch(train) [12][1200/1879]  base_lr: 4.7363e-06 lr: 4.7363e-06  eta: 8:04:33  time: 0.3675  data_time: 0.0215  memory: 8783  loss: 1.1395  sim_loss_v2t: 0.5646  sim_loss_t2v: 0.5749
2023/07/30 14:08:47 - mmengine - INFO - Epoch(train) [12][1300/1879]  base_lr: 4.7321e-06 lr: 4.7321e-06  eta: 8:03:51  time: 0.4238  data_time: 0.0260  memory: 8783  loss: 1.0195  sim_loss_v2t: 0.5098  sim_loss_t2v: 0.5098
2023/07/30 14:09:00 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 14:09:27 - mmengine - INFO - Epoch(train) [12][1400/1879]  base_lr: 4.7279e-06 lr: 4.7279e-06  eta: 8:03:10  time: 0.4059  data_time: 0.0265  memory: 8783  loss: 1.0440  sim_loss_v2t: 0.5252  sim_loss_t2v: 0.5189
2023/07/30 14:10:12 - mmengine - INFO - Epoch(train) [12][1500/1879]  base_lr: 4.7237e-06 lr: 4.7237e-06  eta: 8:02:43  time: 0.6233  data_time: 0.4061  memory: 8783  loss: 1.0913  sim_loss_v2t: 0.5481  sim_loss_t2v: 0.5432
2023/07/30 14:10:50 - mmengine - INFO - Epoch(train) [12][1600/1879]  base_lr: 4.7195e-06 lr: 4.7195e-06  eta: 8:01:57  time: 0.3471  data_time: 0.0963  memory: 8783  loss: 1.0708  sim_loss_v2t: 0.5366  sim_loss_t2v: 0.5342
2023/07/30 14:11:30 - mmengine - INFO - Epoch(train) [12][1700/1879]  base_lr: 4.7152e-06 lr: 4.7152e-06  eta: 8:01:14  time: 0.3765  data_time: 0.0227  memory: 8783  loss: 1.0622  sim_loss_v2t: 0.5311  sim_loss_t2v: 0.5311
2023/07/30 14:12:12 - mmengine - INFO - Epoch(train) [12][1800/1879]  base_lr: 4.7108e-06 lr: 4.7108e-06  eta: 8:00:39  time: 0.4896  data_time: 0.0240  memory: 8783  loss: 1.0645  sim_loss_v2t: 0.5300  sim_loss_t2v: 0.5344
2023/07/30 14:12:37 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 14:12:37 - mmengine - INFO - Epoch(train) [12][1879/1879]  base_lr: 4.7074e-06 lr: 4.7074e-06  eta: 7:59:46  time: 0.1927  data_time: 0.0102  memory: 8783  loss: 1.0207  sim_loss_v2t: 0.5107  sim_loss_t2v: 0.5100
2023/07/30 14:12:37 - mmengine - INFO - Saving checkpoint at 12 epochs
2023/07/30 14:14:50 - mmengine - INFO - Epoch(val) [12][100/155]    eta: 0:01:04  time: 1.1488  data_time: 0.0448  memory: 18758  
2023/07/30 14:15:54 - mmengine - INFO - Epoch(val) [12][155/155]    acc/top1: 0.7424  acc/top5: 0.9282  acc/mean1: 0.7423  data_time: 0.0497  time: 1.1560
2023/07/30 14:16:41 - mmengine - INFO - Epoch(train) [13][ 100/1879]  base_lr: 4.7030e-06 lr: 4.7030e-06  eta: 7:59:28  time: 0.4239  data_time: 0.0356  memory: 18758  loss: 1.0269  sim_loss_v2t: 0.5097  sim_loss_t2v: 0.5172
2023/07/30 14:17:22 - mmengine - INFO - Epoch(train) [13][ 200/1879]  base_lr: 4.6986e-06 lr: 4.6986e-06  eta: 7:58:51  time: 0.4364  data_time: 0.0263  memory: 8783  loss: 1.0292  sim_loss_v2t: 0.5155  sim_loss_t2v: 0.5137
2023/07/30 14:18:03 - mmengine - INFO - Epoch(train) [13][ 300/1879]  base_lr: 4.6942e-06 lr: 4.6942e-06  eta: 7:58:11  time: 0.4230  data_time: 0.0805  memory: 8783  loss: 1.0281  sim_loss_v2t: 0.5105  sim_loss_t2v: 0.5175
2023/07/30 14:18:43 - mmengine - INFO - Epoch(train) [13][ 400/1879]  base_lr: 4.6897e-06 lr: 4.6897e-06  eta: 7:57:31  time: 0.3657  data_time: 0.0508  memory: 8783  loss: 1.0220  sim_loss_v2t: 0.5077  sim_loss_t2v: 0.5143
2023/07/30 14:19:01 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 14:19:22 - mmengine - INFO - Epoch(train) [13][ 500/1879]  base_lr: 4.6852e-06 lr: 4.6852e-06  eta: 7:56:45  time: 0.4345  data_time: 0.0490  memory: 8783  loss: 1.0507  sim_loss_v2t: 0.5309  sim_loss_t2v: 0.5197
2023/07/30 14:20:01 - mmengine - INFO - Epoch(train) [13][ 600/1879]  base_lr: 4.6807e-06 lr: 4.6807e-06  eta: 7:56:01  time: 0.4136  data_time: 0.0238  memory: 8783  loss: 0.9776  sim_loss_v2t: 0.4920  sim_loss_t2v: 0.4856
2023/07/30 14:20:41 - mmengine - INFO - Epoch(train) [13][ 700/1879]  base_lr: 4.6761e-06 lr: 4.6761e-06  eta: 7:55:19  time: 0.4127  data_time: 0.0293  memory: 8783  loss: 1.0178  sim_loss_v2t: 0.5083  sim_loss_t2v: 0.5095
2023/07/30 14:21:21 - mmengine - INFO - Epoch(train) [13][ 800/1879]  base_lr: 4.6716e-06 lr: 4.6716e-06  eta: 7:54:38  time: 0.3721  data_time: 0.0252  memory: 8783  loss: 1.0097  sim_loss_v2t: 0.5004  sim_loss_t2v: 0.5092
2023/07/30 14:22:03 - mmengine - INFO - Epoch(train) [13][ 900/1879]  base_lr: 4.6669e-06 lr: 4.6669e-06  eta: 7:54:04  time: 0.4992  data_time: 0.0301  memory: 8783  loss: 1.0414  sim_loss_v2t: 0.5223  sim_loss_t2v: 0.5191
2023/07/30 14:22:44 - mmengine - INFO - Epoch(train) [13][1000/1879]  base_lr: 4.6623e-06 lr: 4.6623e-06  eta: 7:53:24  time: 0.4701  data_time: 0.0246  memory: 8783  loss: 0.9909  sim_loss_v2t: 0.4906  sim_loss_t2v: 0.5003
2023/07/30 14:23:23 - mmengine - INFO - Epoch(train) [13][1100/1879]  base_lr: 4.6576e-06 lr: 4.6576e-06  eta: 7:52:41  time: 0.4322  data_time: 0.1067  memory: 8783  loss: 1.0276  sim_loss_v2t: 0.5138  sim_loss_t2v: 0.5138
2023/07/30 14:24:04 - mmengine - INFO - Epoch(train) [13][1200/1879]  base_lr: 4.6529e-06 lr: 4.6529e-06  eta: 7:52:03  time: 0.3901  data_time: 0.0207  memory: 8783  loss: 0.9949  sim_loss_v2t: 0.4969  sim_loss_t2v: 0.4979
2023/07/30 14:24:43 - mmengine - INFO - Epoch(train) [13][1300/1879]  base_lr: 4.6482e-06 lr: 4.6482e-06  eta: 7:51:18  time: 0.3396  data_time: 0.0294  memory: 8783  loss: 0.9933  sim_loss_v2t: 0.4988  sim_loss_t2v: 0.4945
2023/07/30 14:25:24 - mmengine - INFO - Epoch(train) [13][1400/1879]  base_lr: 4.6434e-06 lr: 4.6434e-06  eta: 7:50:38  time: 0.3623  data_time: 0.0253  memory: 8783  loss: 1.0306  sim_loss_v2t: 0.5164  sim_loss_t2v: 0.5142
2023/07/30 14:25:44 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 14:26:03 - mmengine - INFO - Epoch(train) [13][1500/1879]  base_lr: 4.6386e-06 lr: 4.6386e-06  eta: 7:49:54  time: 0.3777  data_time: 0.0261  memory: 8783  loss: 1.0256  sim_loss_v2t: 0.5150  sim_loss_t2v: 0.5106
2023/07/30 14:26:45 - mmengine - INFO - Epoch(train) [13][1600/1879]  base_lr: 4.6338e-06 lr: 4.6338e-06  eta: 7:49:17  time: 0.4255  data_time: 0.0279  memory: 8783  loss: 1.0010  sim_loss_v2t: 0.4983  sim_loss_t2v: 0.5026
2023/07/30 14:27:23 - mmengine - INFO - Epoch(train) [13][1700/1879]  base_lr: 4.6289e-06 lr: 4.6289e-06  eta: 7:48:33  time: 0.3594  data_time: 0.0348  memory: 8783  loss: 1.0350  sim_loss_v2t: 0.5184  sim_loss_t2v: 0.5166
2023/07/30 14:28:03 - mmengine - INFO - Epoch(train) [13][1800/1879]  base_lr: 4.6240e-06 lr: 4.6240e-06  eta: 7:47:50  time: 0.3785  data_time: 0.0282  memory: 8783  loss: 0.9650  sim_loss_v2t: 0.4825  sim_loss_t2v: 0.4826
2023/07/30 14:28:31 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 14:28:31 - mmengine - INFO - Epoch(train) [13][1879/1879]  base_lr: 4.6202e-06 lr: 4.6202e-06  eta: 7:47:06  time: 0.2624  data_time: 0.0106  memory: 8783  loss: 0.9513  sim_loss_v2t: 0.4731  sim_loss_t2v: 0.4782
2023/07/30 14:28:31 - mmengine - INFO - Saving checkpoint at 13 epochs
2023/07/30 14:30:42 - mmengine - INFO - Epoch(val) [13][100/155]    eta: 0:01:04  time: 1.1432  data_time: 0.0394  memory: 18758  
2023/07/30 14:31:46 - mmengine - INFO - Epoch(val) [13][155/155]    acc/top1: 0.7422  acc/top5: 0.9266  acc/mean1: 0.7422  data_time: 0.0506  time: 1.1558
2023/07/30 14:32:35 - mmengine - INFO - Epoch(train) [14][ 100/1879]  base_lr: 4.6152e-06 lr: 4.6152e-06  eta: 7:46:51  time: 0.4278  data_time: 0.0283  memory: 18758  loss: 1.0114  sim_loss_v2t: 0.5032  sim_loss_t2v: 0.5082
2023/07/30 14:33:14 - mmengine - INFO - Epoch(train) [14][ 200/1879]  base_lr: 4.6103e-06 lr: 4.6103e-06  eta: 7:46:05  time: 0.3680  data_time: 0.0303  memory: 8783  loss: 1.0016  sim_loss_v2t: 0.5050  sim_loss_t2v: 0.4966
2023/07/30 14:33:55 - mmengine - INFO - Epoch(train) [14][ 300/1879]  base_lr: 4.6053e-06 lr: 4.6053e-06  eta: 7:45:28  time: 0.4773  data_time: 0.0226  memory: 8783  loss: 1.0064  sim_loss_v2t: 0.5066  sim_loss_t2v: 0.4998
2023/07/30 14:34:35 - mmengine - INFO - Epoch(train) [14][ 400/1879]  base_lr: 4.6002e-06 lr: 4.6002e-06  eta: 7:44:46  time: 0.4031  data_time: 0.0290  memory: 8783  loss: 1.0447  sim_loss_v2t: 0.5184  sim_loss_t2v: 0.5263
2023/07/30 14:35:14 - mmengine - INFO - Epoch(train) [14][ 500/1879]  base_lr: 4.5952e-06 lr: 4.5952e-06  eta: 7:44:03  time: 0.3921  data_time: 0.0269  memory: 8783  loss: 0.9579  sim_loss_v2t: 0.4806  sim_loss_t2v: 0.4773
2023/07/30 14:35:42 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 14:35:54 - mmengine - INFO - Epoch(train) [14][ 600/1879]  base_lr: 4.5901e-06 lr: 4.5901e-06  eta: 7:43:22  time: 0.3694  data_time: 0.0281  memory: 8783  loss: 1.0083  sim_loss_v2t: 0.5062  sim_loss_t2v: 0.5021
2023/07/30 14:36:34 - mmengine - INFO - Epoch(train) [14][ 700/1879]  base_lr: 4.5850e-06 lr: 4.5850e-06  eta: 7:42:39  time: 0.4230  data_time: 0.0286  memory: 8783  loss: 0.9962  sim_loss_v2t: 0.4947  sim_loss_t2v: 0.5016
2023/07/30 14:37:14 - mmengine - INFO - Epoch(train) [14][ 800/1879]  base_lr: 4.5799e-06 lr: 4.5799e-06  eta: 7:41:59  time: 0.4433  data_time: 0.0213  memory: 8783  loss: 0.9862  sim_loss_v2t: 0.4901  sim_loss_t2v: 0.4961
2023/07/30 14:37:53 - mmengine - INFO - Epoch(train) [14][ 900/1879]  base_lr: 4.5747e-06 lr: 4.5747e-06  eta: 7:41:15  time: 0.3673  data_time: 0.0250  memory: 8783  loss: 0.9907  sim_loss_v2t: 0.4960  sim_loss_t2v: 0.4947
2023/07/30 14:38:34 - mmengine - INFO - Epoch(train) [14][1000/1879]  base_lr: 4.5695e-06 lr: 4.5695e-06  eta: 7:40:36  time: 0.4588  data_time: 0.0291  memory: 8783  loss: 0.9528  sim_loss_v2t: 0.4779  sim_loss_t2v: 0.4749
2023/07/30 14:39:16 - mmengine - INFO - Epoch(train) [14][1100/1879]  base_lr: 4.5643e-06 lr: 4.5643e-06  eta: 7:40:01  time: 0.3475  data_time: 0.0280  memory: 8783  loss: 0.9964  sim_loss_v2t: 0.5017  sim_loss_t2v: 0.4947
2023/07/30 14:39:54 - mmengine - INFO - Epoch(train) [14][1200/1879]  base_lr: 4.5590e-06 lr: 4.5590e-06  eta: 7:39:13  time: 0.3206  data_time: 0.0234  memory: 8783  loss: 1.0121  sim_loss_v2t: 0.5063  sim_loss_t2v: 0.5059
2023/07/30 14:40:34 - mmengine - INFO - Epoch(train) [14][1300/1879]  base_lr: 4.5537e-06 lr: 4.5537e-06  eta: 7:38:32  time: 0.3748  data_time: 0.0241  memory: 8783  loss: 0.9940  sim_loss_v2t: 0.4918  sim_loss_t2v: 0.5022
2023/07/30 14:41:18 - mmengine - INFO - Epoch(train) [14][1400/1879]  base_lr: 4.5484e-06 lr: 4.5484e-06  eta: 7:38:02  time: 0.5518  data_time: 0.0405  memory: 8783  loss: 1.0042  sim_loss_v2t: 0.4952  sim_loss_t2v: 0.5091
2023/07/30 14:41:56 - mmengine - INFO - Epoch(train) [14][1500/1879]  base_lr: 4.5431e-06 lr: 4.5431e-06  eta: 7:37:15  time: 0.3728  data_time: 0.0262  memory: 8783  loss: 1.0179  sim_loss_v2t: 0.5082  sim_loss_t2v: 0.5097
2023/07/30 14:42:25 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 14:42:37 - mmengine - INFO - Epoch(train) [14][1600/1879]  base_lr: 4.5377e-06 lr: 4.5377e-06  eta: 7:36:37  time: 0.4857  data_time: 0.0246  memory: 8783  loss: 1.0028  sim_loss_v2t: 0.4962  sim_loss_t2v: 0.5067
2023/07/30 14:43:15 - mmengine - INFO - Epoch(train) [14][1700/1879]  base_lr: 4.5323e-06 lr: 4.5323e-06  eta: 7:35:50  time: 0.3372  data_time: 0.0990  memory: 8783  loss: 1.0041  sim_loss_v2t: 0.5027  sim_loss_t2v: 0.5015
2023/07/30 14:43:56 - mmengine - INFO - Epoch(train) [14][1800/1879]  base_lr: 4.5269e-06 lr: 4.5269e-06  eta: 7:35:11  time: 0.4661  data_time: 0.2074  memory: 8783  loss: 1.0106  sim_loss_v2t: 0.5032  sim_loss_t2v: 0.5075
2023/07/30 14:44:24 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 14:44:24 - mmengine - INFO - Epoch(train) [14][1879/1879]  base_lr: 4.5226e-06 lr: 4.5226e-06  eta: 7:34:29  time: 0.1770  data_time: 0.0110  memory: 8783  loss: 1.0141  sim_loss_v2t: 0.5049  sim_loss_t2v: 0.5092
2023/07/30 14:44:24 - mmengine - INFO - Saving checkpoint at 14 epochs
2023/07/30 14:46:35 - mmengine - INFO - Epoch(val) [14][100/155]    eta: 0:01:04  time: 1.1468  data_time: 0.0412  memory: 18758  
2023/07/30 14:47:39 - mmengine - INFO - Epoch(val) [14][155/155]    acc/top1: 0.7498  acc/top5: 0.9283  acc/mean1: 0.7497  data_time: 0.0503  time: 1.1552
2023/07/30 14:47:39 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_11.pth is removed
2023/07/30 14:47:46 - mmengine - INFO - The best checkpoint with 0.7498 acc/top1 at 14 epoch is saved to best_acc_top1_epoch_14.pth.
2023/07/30 14:48:40 - mmengine - INFO - Epoch(train) [15][ 100/1879]  base_lr: 4.5171e-06 lr: 4.5171e-06  eta: 7:33:52  time: 0.4742  data_time: 0.0313  memory: 18758  loss: 0.9400  sim_loss_v2t: 0.4714  sim_loss_t2v: 0.4686
2023/07/30 14:49:21 - mmengine - INFO - Epoch(train) [15][ 200/1879]  base_lr: 4.5116e-06 lr: 4.5116e-06  eta: 7:33:13  time: 0.4545  data_time: 0.0259  memory: 8783  loss: 0.9361  sim_loss_v2t: 0.4654  sim_loss_t2v: 0.4707
2023/07/30 14:49:59 - mmengine - INFO - Epoch(train) [15][ 300/1879]  base_lr: 4.5061e-06 lr: 4.5061e-06  eta: 7:32:25  time: 0.3833  data_time: 0.0236  memory: 8783  loss: 0.9449  sim_loss_v2t: 0.4755  sim_loss_t2v: 0.4694
2023/07/30 14:50:40 - mmengine - INFO - Epoch(train) [15][ 400/1879]  base_lr: 4.5005e-06 lr: 4.5005e-06  eta: 7:31:48  time: 0.3929  data_time: 0.0302  memory: 8783  loss: 0.9821  sim_loss_v2t: 0.4882  sim_loss_t2v: 0.4939
2023/07/30 14:51:20 - mmengine - INFO - Epoch(train) [15][ 500/1879]  base_lr: 4.4950e-06 lr: 4.4950e-06  eta: 7:31:06  time: 0.3970  data_time: 0.0228  memory: 8783  loss: 1.0145  sim_loss_v2t: 0.5089  sim_loss_t2v: 0.5056
2023/07/30 14:52:01 - mmengine - INFO - Epoch(train) [15][ 600/1879]  base_lr: 4.4893e-06 lr: 4.4893e-06  eta: 7:30:29  time: 0.4164  data_time: 0.0235  memory: 8783  loss: 1.0169  sim_loss_v2t: 0.5118  sim_loss_t2v: 0.5052
2023/07/30 14:52:37 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 14:52:41 - mmengine - INFO - Epoch(train) [15][ 700/1879]  base_lr: 4.4837e-06 lr: 4.4837e-06  eta: 7:29:48  time: 0.3903  data_time: 0.0255  memory: 8783  loss: 0.9757  sim_loss_v2t: 0.4814  sim_loss_t2v: 0.4943
2023/07/30 14:53:20 - mmengine - INFO - Epoch(train) [15][ 800/1879]  base_lr: 4.4780e-06 lr: 4.4780e-06  eta: 7:29:04  time: 0.3935  data_time: 0.0706  memory: 8783  loss: 0.9800  sim_loss_v2t: 0.4868  sim_loss_t2v: 0.4932
2023/07/30 14:53:59 - mmengine - INFO - Epoch(train) [15][ 900/1879]  base_lr: 4.4723e-06 lr: 4.4723e-06  eta: 7:28:19  time: 0.3146  data_time: 0.0239  memory: 8783  loss: 0.9567  sim_loss_v2t: 0.4840  sim_loss_t2v: 0.4727
2023/07/30 14:54:40 - mmengine - INFO - Epoch(train) [15][1000/1879]  base_lr: 4.4666e-06 lr: 4.4666e-06  eta: 7:27:41  time: 0.3625  data_time: 0.0517  memory: 8783  loss: 0.9834  sim_loss_v2t: 0.4909  sim_loss_t2v: 0.4925
2023/07/30 14:55:21 - mmengine - INFO - Epoch(train) [15][1100/1879]  base_lr: 4.4609e-06 lr: 4.4609e-06  eta: 7:27:01  time: 0.3960  data_time: 0.0282  memory: 8783  loss: 0.9892  sim_loss_v2t: 0.4905  sim_loss_t2v: 0.4987
2023/07/30 14:55:59 - mmengine - INFO - Epoch(train) [15][1200/1879]  base_lr: 4.4551e-06 lr: 4.4551e-06  eta: 7:26:17  time: 0.3650  data_time: 0.0270  memory: 8783  loss: 0.9754  sim_loss_v2t: 0.4856  sim_loss_t2v: 0.4898
2023/07/30 14:56:39 - mmengine - INFO - Epoch(train) [15][1300/1879]  base_lr: 4.4493e-06 lr: 4.4493e-06  eta: 7:25:36  time: 0.3738  data_time: 0.0290  memory: 8783  loss: 1.0000  sim_loss_v2t: 0.5008  sim_loss_t2v: 0.4992
2023/07/30 14:57:19 - mmengine - INFO - Epoch(train) [15][1400/1879]  base_lr: 4.4435e-06 lr: 4.4435e-06  eta: 7:24:55  time: 0.3789  data_time: 0.0250  memory: 8783  loss: 0.9759  sim_loss_v2t: 0.4861  sim_loss_t2v: 0.4898
2023/07/30 14:58:00 - mmengine - INFO - Epoch(train) [15][1500/1879]  base_lr: 4.4376e-06 lr: 4.4376e-06  eta: 7:24:15  time: 0.3957  data_time: 0.0528  memory: 8783  loss: 1.0346  sim_loss_v2t: 0.5155  sim_loss_t2v: 0.5190
2023/07/30 14:58:38 - mmengine - INFO - Epoch(train) [15][1600/1879]  base_lr: 4.4317e-06 lr: 4.4317e-06  eta: 7:23:31  time: 0.2953  data_time: 0.0230  memory: 8783  loss: 0.9603  sim_loss_v2t: 0.4791  sim_loss_t2v: 0.4812
2023/07/30 14:59:19 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 14:59:20 - mmengine - INFO - Epoch(train) [15][1700/1879]  base_lr: 4.4258e-06 lr: 4.4258e-06  eta: 7:22:54  time: 0.4052  data_time: 0.0214  memory: 8783  loss: 0.9375  sim_loss_v2t: 0.4647  sim_loss_t2v: 0.4728
2023/07/30 14:59:59 - mmengine - INFO - Epoch(train) [15][1800/1879]  base_lr: 4.4199e-06 lr: 4.4199e-06  eta: 7:22:11  time: 0.4830  data_time: 0.0449  memory: 8783  loss: 0.9403  sim_loss_v2t: 0.4667  sim_loss_t2v: 0.4736
2023/07/30 15:00:27 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 15:00:27 - mmengine - INFO - Epoch(train) [15][1879/1879]  base_lr: 4.4152e-06 lr: 4.4152e-06  eta: 7:21:30  time: 0.2411  data_time: 0.0101  memory: 8783  loss: 1.0090  sim_loss_v2t: 0.5006  sim_loss_t2v: 0.5084
2023/07/30 15:00:27 - mmengine - INFO - Saving checkpoint at 15 epochs
2023/07/30 15:02:39 - mmengine - INFO - Epoch(val) [15][100/155]    eta: 0:01:04  time: 1.1464  data_time: 0.0424  memory: 18758  
2023/07/30 15:03:42 - mmengine - INFO - Epoch(val) [15][155/155]    acc/top1: 0.7469  acc/top5: 0.9279  acc/mean1: 0.7468  data_time: 0.0519  time: 1.1565
2023/07/30 15:04:32 - mmengine - INFO - Epoch(train) [16][ 100/1879]  base_lr: 4.4092e-06 lr: 4.4092e-06  eta: 7:21:10  time: 0.4013  data_time: 0.0260  memory: 18758  loss: 0.9831  sim_loss_v2t: 0.4862  sim_loss_t2v: 0.4969
2023/07/30 15:05:10 - mmengine - INFO - Epoch(train) [16][ 200/1879]  base_lr: 4.4032e-06 lr: 4.4032e-06  eta: 7:20:26  time: 0.3355  data_time: 0.0241  memory: 8783  loss: 0.9320  sim_loss_v2t: 0.4646  sim_loss_t2v: 0.4673
2023/07/30 15:05:52 - mmengine - INFO - Epoch(train) [16][ 300/1879]  base_lr: 4.3971e-06 lr: 4.3971e-06  eta: 7:19:49  time: 0.5132  data_time: 0.0266  memory: 8783  loss: 0.9615  sim_loss_v2t: 0.4787  sim_loss_t2v: 0.4827
2023/07/30 15:06:30 - mmengine - INFO - Epoch(train) [16][ 400/1879]  base_lr: 4.3911e-06 lr: 4.3911e-06  eta: 7:19:03  time: 0.3186  data_time: 0.0531  memory: 8783  loss: 0.9825  sim_loss_v2t: 0.4935  sim_loss_t2v: 0.4889
2023/07/30 15:07:10 - mmengine - INFO - Epoch(train) [16][ 500/1879]  base_lr: 4.3850e-06 lr: 4.3850e-06  eta: 7:18:22  time: 0.4479  data_time: 0.1799  memory: 8783  loss: 0.9712  sim_loss_v2t: 0.4813  sim_loss_t2v: 0.4899
2023/07/30 15:07:50 - mmengine - INFO - Epoch(train) [16][ 600/1879]  base_lr: 4.3789e-06 lr: 4.3789e-06  eta: 7:17:41  time: 0.3512  data_time: 0.0288  memory: 8783  loss: 0.9115  sim_loss_v2t: 0.4572  sim_loss_t2v: 0.4543
2023/07/30 15:08:32 - mmengine - INFO - Epoch(train) [16][ 700/1879]  base_lr: 4.3727e-06 lr: 4.3727e-06  eta: 7:17:05  time: 0.4256  data_time: 0.0284  memory: 8783  loss: 1.0295  sim_loss_v2t: 0.5088  sim_loss_t2v: 0.5207
2023/07/30 15:09:12 - mmengine - INFO - Epoch(train) [16][ 800/1879]  base_lr: 4.3666e-06 lr: 4.3666e-06  eta: 7:16:22  time: 0.3508  data_time: 0.0299  memory: 8783  loss: 0.9342  sim_loss_v2t: 0.4611  sim_loss_t2v: 0.4731
2023/07/30 15:09:18 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 15:09:52 - mmengine - INFO - Epoch(train) [16][ 900/1879]  base_lr: 4.3604e-06 lr: 4.3604e-06  eta: 7:15:42  time: 0.4383  data_time: 0.1466  memory: 8783  loss: 0.9462  sim_loss_v2t: 0.4782  sim_loss_t2v: 0.4679
2023/07/30 15:10:32 - mmengine - INFO - Epoch(train) [16][1000/1879]  base_lr: 4.3542e-06 lr: 4.3542e-06  eta: 7:15:02  time: 0.3401  data_time: 0.0208  memory: 8783  loss: 0.9946  sim_loss_v2t: 0.5003  sim_loss_t2v: 0.4943
2023/07/30 15:11:13 - mmengine - INFO - Epoch(train) [16][1100/1879]  base_lr: 4.3479e-06 lr: 4.3479e-06  eta: 7:14:22  time: 0.4125  data_time: 0.0219  memory: 8783  loss: 0.9285  sim_loss_v2t: 0.4646  sim_loss_t2v: 0.4640
2023/07/30 15:11:53 - mmengine - INFO - Epoch(train) [16][1200/1879]  base_lr: 4.3416e-06 lr: 4.3416e-06  eta: 7:13:41  time: 0.3404  data_time: 0.0298  memory: 8783  loss: 0.9533  sim_loss_v2t: 0.4705  sim_loss_t2v: 0.4829
2023/07/30 15:12:34 - mmengine - INFO - Epoch(train) [16][1300/1879]  base_lr: 4.3354e-06 lr: 4.3354e-06  eta: 7:13:03  time: 0.3579  data_time: 0.0258  memory: 8783  loss: 0.9353  sim_loss_v2t: 0.4736  sim_loss_t2v: 0.4617
2023/07/30 15:13:15 - mmengine - INFO - Epoch(train) [16][1400/1879]  base_lr: 4.3290e-06 lr: 4.3290e-06  eta: 7:12:25  time: 0.4401  data_time: 0.0530  memory: 8783  loss: 0.9729  sim_loss_v2t: 0.4868  sim_loss_t2v: 0.4862
2023/07/30 15:13:54 - mmengine - INFO - Epoch(train) [16][1500/1879]  base_lr: 4.3227e-06 lr: 4.3227e-06  eta: 7:11:41  time: 0.4386  data_time: 0.0623  memory: 8783  loss: 0.9768  sim_loss_v2t: 0.4872  sim_loss_t2v: 0.4895
2023/07/30 15:14:33 - mmengine - INFO - Epoch(train) [16][1600/1879]  base_lr: 4.3163e-06 lr: 4.3163e-06  eta: 7:10:58  time: 0.3453  data_time: 0.0236  memory: 8783  loss: 0.9826  sim_loss_v2t: 0.4904  sim_loss_t2v: 0.4923
2023/07/30 15:15:14 - mmengine - INFO - Epoch(train) [16][1700/1879]  base_lr: 4.3099e-06 lr: 4.3099e-06  eta: 7:10:18  time: 0.3742  data_time: 0.0252  memory: 8783  loss: 0.9529  sim_loss_v2t: 0.4756  sim_loss_t2v: 0.4773
2023/07/30 15:15:55 - mmengine - INFO - Epoch(train) [16][1800/1879]  base_lr: 4.3035e-06 lr: 4.3035e-06  eta: 7:09:39  time: 0.4324  data_time: 0.0240  memory: 8783  loss: 0.9076  sim_loss_v2t: 0.4475  sim_loss_t2v: 0.4601
2023/07/30 15:16:01 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 15:16:21 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 15:16:21 - mmengine - INFO - Epoch(train) [16][1879/1879]  base_lr: 4.2984e-06 lr: 4.2984e-06  eta: 7:08:56  time: 0.1773  data_time: 0.0120  memory: 8783  loss: 0.9534  sim_loss_v2t: 0.4714  sim_loss_t2v: 0.4820
2023/07/30 15:16:21 - mmengine - INFO - Saving checkpoint at 16 epochs
2023/07/30 15:18:34 - mmengine - INFO - Epoch(val) [16][100/155]    eta: 0:01:04  time: 1.1496  data_time: 0.0402  memory: 18758  
2023/07/30 15:19:37 - mmengine - INFO - Epoch(val) [16][155/155]    acc/top1: 0.7532  acc/top5: 0.9313  acc/mean1: 0.7532  data_time: 0.0501  time: 1.1555
2023/07/30 15:19:37 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_14.pth is removed
2023/07/30 15:19:44 - mmengine - INFO - The best checkpoint with 0.7532 acc/top1 at 16 epoch is saved to best_acc_top1_epoch_16.pth.
2023/07/30 15:20:40 - mmengine - INFO - Epoch(train) [17][ 100/1879]  base_lr: 4.2919e-06 lr: 4.2919e-06  eta: 7:08:22  time: 0.5618  data_time: 0.1131  memory: 18758  loss: 0.9686  sim_loss_v2t: 0.4858  sim_loss_t2v: 0.4829
2023/07/30 15:21:19 - mmengine - INFO - Epoch(train) [17][ 200/1879]  base_lr: 4.2855e-06 lr: 4.2855e-06  eta: 7:07:38  time: 0.3969  data_time: 0.0250  memory: 8783  loss: 0.9137  sim_loss_v2t: 0.4574  sim_loss_t2v: 0.4564
2023/07/30 15:21:57 - mmengine - INFO - Epoch(train) [17][ 300/1879]  base_lr: 4.2789e-06 lr: 4.2789e-06  eta: 7:06:53  time: 0.3576  data_time: 0.0276  memory: 8783  loss: 0.9465  sim_loss_v2t: 0.4712  sim_loss_t2v: 0.4753
2023/07/30 15:22:41 - mmengine - INFO - Epoch(train) [17][ 400/1879]  base_lr: 4.2724e-06 lr: 4.2724e-06  eta: 7:06:20  time: 0.3636  data_time: 0.0330  memory: 8783  loss: 0.9692  sim_loss_v2t: 0.4789  sim_loss_t2v: 0.4903
2023/07/30 15:23:20 - mmengine - INFO - Epoch(train) [17][ 500/1879]  base_lr: 4.2658e-06 lr: 4.2658e-06  eta: 7:05:39  time: 0.3005  data_time: 0.0216  memory: 8783  loss: 0.9710  sim_loss_v2t: 0.4910  sim_loss_t2v: 0.4800
2023/07/30 15:24:00 - mmengine - INFO - Epoch(train) [17][ 600/1879]  base_lr: 4.2593e-06 lr: 4.2593e-06  eta: 7:04:57  time: 0.3320  data_time: 0.0257  memory: 8783  loss: 0.9244  sim_loss_v2t: 0.4629  sim_loss_t2v: 0.4614
2023/07/30 15:24:40 - mmengine - INFO - Epoch(train) [17][ 700/1879]  base_lr: 4.2526e-06 lr: 4.2526e-06  eta: 7:04:16  time: 0.4536  data_time: 0.0234  memory: 8783  loss: 0.9327  sim_loss_v2t: 0.4613  sim_loss_t2v: 0.4714
2023/07/30 15:25:21 - mmengine - INFO - Epoch(train) [17][ 800/1879]  base_lr: 4.2460e-06 lr: 4.2460e-06  eta: 7:03:37  time: 0.3765  data_time: 0.0293  memory: 8783  loss: 0.9534  sim_loss_v2t: 0.4715  sim_loss_t2v: 0.4819
2023/07/30 15:26:01 - mmengine - INFO - Epoch(train) [17][ 900/1879]  base_lr: 4.2394e-06 lr: 4.2394e-06  eta: 7:02:56  time: 0.3434  data_time: 0.0209  memory: 8783  loss: 0.9670  sim_loss_v2t: 0.4792  sim_loss_t2v: 0.4877
2023/07/30 15:26:15 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 15:26:40 - mmengine - INFO - Epoch(train) [17][1000/1879]  base_lr: 4.2327e-06 lr: 4.2327e-06  eta: 7:02:13  time: 0.3566  data_time: 0.0287  memory: 8783  loss: 0.9160  sim_loss_v2t: 0.4628  sim_loss_t2v: 0.4532
2023/07/30 15:27:20 - mmengine - INFO - Epoch(train) [17][1100/1879]  base_lr: 4.2260e-06 lr: 4.2260e-06  eta: 7:01:33  time: 0.4109  data_time: 0.0257  memory: 8783  loss: 0.9330  sim_loss_v2t: 0.4619  sim_loss_t2v: 0.4711
2023/07/30 15:28:00 - mmengine - INFO - Epoch(train) [17][1200/1879]  base_lr: 4.2192e-06 lr: 4.2192e-06  eta: 7:00:52  time: 0.4466  data_time: 0.0303  memory: 8783  loss: 0.9370  sim_loss_v2t: 0.4686  sim_loss_t2v: 0.4684
2023/07/30 15:28:40 - mmengine - INFO - Epoch(train) [17][1300/1879]  base_lr: 4.2125e-06 lr: 4.2125e-06  eta: 7:00:11  time: 0.4094  data_time: 0.0245  memory: 8783  loss: 0.9792  sim_loss_v2t: 0.4892  sim_loss_t2v: 0.4900
2023/07/30 15:29:19 - mmengine - INFO - Epoch(train) [17][1400/1879]  base_lr: 4.2057e-06 lr: 4.2057e-06  eta: 6:59:29  time: 0.3640  data_time: 0.0234  memory: 8783  loss: 0.9641  sim_loss_v2t: 0.4819  sim_loss_t2v: 0.4822
2023/07/30 15:30:00 - mmengine - INFO - Epoch(train) [17][1500/1879]  base_lr: 4.1989e-06 lr: 4.1989e-06  eta: 6:58:49  time: 0.4069  data_time: 0.0248  memory: 8783  loss: 0.9599  sim_loss_v2t: 0.4811  sim_loss_t2v: 0.4788
2023/07/30 15:30:41 - mmengine - INFO - Epoch(train) [17][1600/1879]  base_lr: 4.1921e-06 lr: 4.1921e-06  eta: 6:58:11  time: 0.4144  data_time: 0.0257  memory: 8783  loss: 0.9477  sim_loss_v2t: 0.4759  sim_loss_t2v: 0.4718
2023/07/30 15:31:21 - mmengine - INFO - Epoch(train) [17][1700/1879]  base_lr: 4.1852e-06 lr: 4.1852e-06  eta: 6:57:29  time: 0.3851  data_time: 0.0290  memory: 8783  loss: 0.8995  sim_loss_v2t: 0.4528  sim_loss_t2v: 0.4467
2023/07/30 15:32:01 - mmengine - INFO - Epoch(train) [17][1800/1879]  base_lr: 4.1783e-06 lr: 4.1783e-06  eta: 6:56:49  time: 0.3913  data_time: 0.0266  memory: 8783  loss: 0.9433  sim_loss_v2t: 0.4700  sim_loss_t2v: 0.4733
2023/07/30 15:32:27 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 15:32:27 - mmengine - INFO - Epoch(train) [17][1879/1879]  base_lr: 4.1729e-06 lr: 4.1729e-06  eta: 6:56:06  time: 0.1660  data_time: 0.0115  memory: 8783  loss: 0.9203  sim_loss_v2t: 0.4583  sim_loss_t2v: 0.4620
2023/07/30 15:32:27 - mmengine - INFO - Saving checkpoint at 17 epochs
2023/07/30 15:34:39 - mmengine - INFO - Epoch(val) [17][100/155]    eta: 0:01:04  time: 1.1492  data_time: 0.0443  memory: 18758  
2023/07/30 15:35:43 - mmengine - INFO - Epoch(val) [17][155/155]    acc/top1: 0.7537  acc/top5: 0.9313  acc/mean1: 0.7537  data_time: 0.0515  time: 1.1568
2023/07/30 15:35:43 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_16.pth is removed
2023/07/30 15:35:51 - mmengine - INFO - The best checkpoint with 0.7537 acc/top1 at 17 epoch is saved to best_acc_top1_epoch_17.pth.
2023/07/30 15:36:28 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 15:36:44 - mmengine - INFO - Epoch(train) [18][ 100/1879]  base_lr: 4.1660e-06 lr: 4.1660e-06  eta: 6:55:27  time: 0.3147  data_time: 0.0696  memory: 18758  loss: 0.9106  sim_loss_v2t: 0.4549  sim_loss_t2v: 0.4558
2023/07/30 15:37:25 - mmengine - INFO - Epoch(train) [18][ 200/1879]  base_lr: 4.1590e-06 lr: 4.1590e-06  eta: 6:54:47  time: 0.3454  data_time: 0.0667  memory: 8783  loss: 0.9355  sim_loss_v2t: 0.4676  sim_loss_t2v: 0.4679
2023/07/30 15:38:06 - mmengine - INFO - Epoch(train) [18][ 300/1879]  base_lr: 4.1521e-06 lr: 4.1521e-06  eta: 6:54:10  time: 0.3498  data_time: 0.0224  memory: 8783  loss: 0.9027  sim_loss_v2t: 0.4481  sim_loss_t2v: 0.4546
2023/07/30 15:38:47 - mmengine - INFO - Epoch(train) [18][ 400/1879]  base_lr: 4.1451e-06 lr: 4.1451e-06  eta: 6:53:29  time: 0.4209  data_time: 0.0244  memory: 8783  loss: 0.8719  sim_loss_v2t: 0.4405  sim_loss_t2v: 0.4314
2023/07/30 15:39:25 - mmengine - INFO - Epoch(train) [18][ 500/1879]  base_lr: 4.1381e-06 lr: 4.1381e-06  eta: 6:52:45  time: 0.3584  data_time: 0.0258  memory: 8783  loss: 0.8874  sim_loss_v2t: 0.4439  sim_loss_t2v: 0.4435
2023/07/30 15:40:06 - mmengine - INFO - Epoch(train) [18][ 600/1879]  base_lr: 4.1311e-06 lr: 4.1311e-06  eta: 6:52:06  time: 0.4164  data_time: 0.0257  memory: 8783  loss: 0.9287  sim_loss_v2t: 0.4645  sim_loss_t2v: 0.4642
2023/07/30 15:40:51 - mmengine - INFO - Epoch(train) [18][ 700/1879]  base_lr: 4.1240e-06 lr: 4.1240e-06  eta: 6:51:35  time: 0.3859  data_time: 0.0257  memory: 8783  loss: 0.9172  sim_loss_v2t: 0.4624  sim_loss_t2v: 0.4549
2023/07/30 15:41:34 - mmengine - INFO - Epoch(train) [18][ 800/1879]  base_lr: 4.1169e-06 lr: 4.1169e-06  eta: 6:50:59  time: 0.4825  data_time: 0.0467  memory: 8783  loss: 0.9147  sim_loss_v2t: 0.4548  sim_loss_t2v: 0.4599
2023/07/30 15:42:11 - mmengine - INFO - Epoch(train) [18][ 900/1879]  base_lr: 4.1098e-06 lr: 4.1098e-06  eta: 6:50:14  time: 0.3504  data_time: 0.0253  memory: 8783  loss: 0.9366  sim_loss_v2t: 0.4640  sim_loss_t2v: 0.4726
2023/07/30 15:42:52 - mmengine - INFO - Epoch(train) [18][1000/1879]  base_lr: 4.1027e-06 lr: 4.1027e-06  eta: 6:49:35  time: 0.3988  data_time: 0.0313  memory: 8783  loss: 0.9187  sim_loss_v2t: 0.4559  sim_loss_t2v: 0.4628
2023/07/30 15:43:16 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 15:43:33 - mmengine - INFO - Epoch(train) [18][1100/1879]  base_lr: 4.0956e-06 lr: 4.0956e-06  eta: 6:48:55  time: 0.3703  data_time: 0.0243  memory: 8783  loss: 0.8968  sim_loss_v2t: 0.4488  sim_loss_t2v: 0.4481
2023/07/30 15:44:12 - mmengine - INFO - Epoch(train) [18][1200/1879]  base_lr: 4.0884e-06 lr: 4.0884e-06  eta: 6:48:13  time: 0.3444  data_time: 0.0250  memory: 8783  loss: 0.9533  sim_loss_v2t: 0.4771  sim_loss_t2v: 0.4763
2023/07/30 15:44:51 - mmengine - INFO - Epoch(train) [18][1300/1879]  base_lr: 4.0812e-06 lr: 4.0812e-06  eta: 6:47:31  time: 0.4132  data_time: 0.0294  memory: 8783  loss: 0.9201  sim_loss_v2t: 0.4605  sim_loss_t2v: 0.4596
2023/07/30 15:45:33 - mmengine - INFO - Epoch(train) [18][1400/1879]  base_lr: 4.0740e-06 lr: 4.0740e-06  eta: 6:46:52  time: 0.3802  data_time: 0.0281  memory: 8783  loss: 0.8895  sim_loss_v2t: 0.4456  sim_loss_t2v: 0.4439
2023/07/30 15:46:12 - mmengine - INFO - Epoch(train) [18][1500/1879]  base_lr: 4.0668e-06 lr: 4.0668e-06  eta: 6:46:10  time: 0.3422  data_time: 0.0258  memory: 8783  loss: 0.9105  sim_loss_v2t: 0.4567  sim_loss_t2v: 0.4537
2023/07/30 15:46:55 - mmengine - INFO - Epoch(train) [18][1600/1879]  base_lr: 4.0596e-06 lr: 4.0596e-06  eta: 6:45:34  time: 0.4698  data_time: 0.0200  memory: 8783  loss: 0.9370  sim_loss_v2t: 0.4646  sim_loss_t2v: 0.4725
2023/07/30 15:47:33 - mmengine - INFO - Epoch(train) [18][1700/1879]  base_lr: 4.0523e-06 lr: 4.0523e-06  eta: 6:44:51  time: 0.3618  data_time: 0.0306  memory: 8783  loss: 0.9517  sim_loss_v2t: 0.4771  sim_loss_t2v: 0.4745
2023/07/30 15:48:13 - mmengine - INFO - Epoch(train) [18][1800/1879]  base_lr: 4.0450e-06 lr: 4.0450e-06  eta: 6:44:09  time: 0.3894  data_time: 0.0260  memory: 8783  loss: 0.9317  sim_loss_v2t: 0.4668  sim_loss_t2v: 0.4649
2023/07/30 15:48:41 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 15:48:41 - mmengine - INFO - Epoch(train) [18][1879/1879]  base_lr: 4.0392e-06 lr: 4.0392e-06  eta: 6:43:30  time: 0.1702  data_time: 0.0101  memory: 8783  loss: 0.9511  sim_loss_v2t: 0.4708  sim_loss_t2v: 0.4803
2023/07/30 15:48:41 - mmengine - INFO - Saving checkpoint at 18 epochs
2023/07/30 15:50:53 - mmengine - INFO - Epoch(val) [18][100/155]    eta: 0:01:04  time: 1.1471  data_time: 0.0423  memory: 18758  
2023/07/30 15:51:57 - mmengine - INFO - Epoch(val) [18][155/155]    acc/top1: 0.7570  acc/top5: 0.9313  acc/mean1: 0.7570  data_time: 0.0516  time: 1.1560
2023/07/30 15:51:57 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_17.pth is removed
2023/07/30 15:52:04 - mmengine - INFO - The best checkpoint with 0.7570 acc/top1 at 18 epoch is saved to best_acc_top1_epoch_18.pth.
2023/07/30 15:52:57 - mmengine - INFO - Epoch(train) [19][ 100/1879]  base_lr: 4.0319e-06 lr: 4.0319e-06  eta: 6:42:51  time: 0.4422  data_time: 0.0339  memory: 18758  loss: 0.9051  sim_loss_v2t: 0.4525  sim_loss_t2v: 0.4526
2023/07/30 15:53:28 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 15:53:37 - mmengine - INFO - Epoch(train) [19][ 200/1879]  base_lr: 4.0245e-06 lr: 4.0245e-06  eta: 6:42:09  time: 0.4245  data_time: 0.0357  memory: 8783  loss: 0.9314  sim_loss_v2t: 0.4644  sim_loss_t2v: 0.4671
2023/07/30 15:54:15 - mmengine - INFO - Epoch(train) [19][ 300/1879]  base_lr: 4.0172e-06 lr: 4.0172e-06  eta: 6:41:25  time: 0.3634  data_time: 0.0336  memory: 8783  loss: 0.9080  sim_loss_v2t: 0.4515  sim_loss_t2v: 0.4565
2023/07/30 15:54:56 - mmengine - INFO - Epoch(train) [19][ 400/1879]  base_lr: 4.0098e-06 lr: 4.0098e-06  eta: 6:40:46  time: 0.4165  data_time: 0.1091  memory: 8783  loss: 0.9028  sim_loss_v2t: 0.4510  sim_loss_t2v: 0.4518
2023/07/30 15:55:37 - mmengine - INFO - Epoch(train) [19][ 500/1879]  base_lr: 4.0024e-06 lr: 4.0024e-06  eta: 6:40:07  time: 0.4532  data_time: 0.0303  memory: 8783  loss: 0.9407  sim_loss_v2t: 0.4693  sim_loss_t2v: 0.4715
2023/07/30 15:56:16 - mmengine - INFO - Epoch(train) [19][ 600/1879]  base_lr: 3.9949e-06 lr: 3.9949e-06  eta: 6:39:25  time: 0.3968  data_time: 0.0220  memory: 8783  loss: 0.9081  sim_loss_v2t: 0.4509  sim_loss_t2v: 0.4572
2023/07/30 15:56:55 - mmengine - INFO - Epoch(train) [19][ 700/1879]  base_lr: 3.9875e-06 lr: 3.9875e-06  eta: 6:38:42  time: 0.3565  data_time: 0.0707  memory: 8783  loss: 0.9362  sim_loss_v2t: 0.4673  sim_loss_t2v: 0.4689
2023/07/30 15:57:41 - mmengine - INFO - Epoch(train) [19][ 800/1879]  base_lr: 3.9800e-06 lr: 3.9800e-06  eta: 6:38:12  time: 0.5961  data_time: 0.1275  memory: 8783  loss: 0.8965  sim_loss_v2t: 0.4510  sim_loss_t2v: 0.4456
2023/07/30 15:58:19 - mmengine - INFO - Epoch(train) [19][ 900/1879]  base_lr: 3.9725e-06 lr: 3.9725e-06  eta: 6:37:27  time: 0.3985  data_time: 0.0512  memory: 8783  loss: 0.9054  sim_loss_v2t: 0.4530  sim_loss_t2v: 0.4524
2023/07/30 15:58:58 - mmengine - INFO - Epoch(train) [19][1000/1879]  base_lr: 3.9650e-06 lr: 3.9650e-06  eta: 6:36:46  time: 0.3639  data_time: 0.0416  memory: 8783  loss: 0.8949  sim_loss_v2t: 0.4414  sim_loss_t2v: 0.4535
2023/07/30 15:59:39 - mmengine - INFO - Epoch(train) [19][1100/1879]  base_lr: 3.9575e-06 lr: 3.9575e-06  eta: 6:36:06  time: 0.4219  data_time: 0.0273  memory: 8783  loss: 0.9254  sim_loss_v2t: 0.4673  sim_loss_t2v: 0.4580
2023/07/30 16:00:09 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 16:00:22 - mmengine - INFO - Epoch(train) [19][1200/1879]  base_lr: 3.9499e-06 lr: 3.9499e-06  eta: 6:35:30  time: 0.5688  data_time: 0.3141  memory: 8783  loss: 0.9295  sim_loss_v2t: 0.4683  sim_loss_t2v: 0.4612
2023/07/30 16:00:59 - mmengine - INFO - Epoch(train) [19][1300/1879]  base_lr: 3.9423e-06 lr: 3.9423e-06  eta: 6:34:44  time: 0.3982  data_time: 0.0239  memory: 8783  loss: 0.9242  sim_loss_v2t: 0.4584  sim_loss_t2v: 0.4659
2023/07/30 16:01:40 - mmengine - INFO - Epoch(train) [19][1400/1879]  base_lr: 3.9347e-06 lr: 3.9347e-06  eta: 6:34:05  time: 0.4273  data_time: 0.0266  memory: 8783  loss: 0.9258  sim_loss_v2t: 0.4652  sim_loss_t2v: 0.4606
2023/07/30 16:02:20 - mmengine - INFO - Epoch(train) [19][1500/1879]  base_lr: 3.9271e-06 lr: 3.9271e-06  eta: 6:33:24  time: 0.3749  data_time: 0.1313  memory: 8783  loss: 0.8692  sim_loss_v2t: 0.4365  sim_loss_t2v: 0.4327
2023/07/30 16:03:01 - mmengine - INFO - Epoch(train) [19][1600/1879]  base_lr: 3.9195e-06 lr: 3.9195e-06  eta: 6:32:46  time: 0.3933  data_time: 0.1258  memory: 8783  loss: 0.8790  sim_loss_v2t: 0.4363  sim_loss_t2v: 0.4427
2023/07/30 16:03:42 - mmengine - INFO - Epoch(train) [19][1700/1879]  base_lr: 3.9118e-06 lr: 3.9118e-06  eta: 6:32:06  time: 0.3723  data_time: 0.0289  memory: 8783  loss: 0.8784  sim_loss_v2t: 0.4412  sim_loss_t2v: 0.4372
2023/07/30 16:04:22 - mmengine - INFO - Epoch(train) [19][1800/1879]  base_lr: 3.9041e-06 lr: 3.9041e-06  eta: 6:31:25  time: 0.4096  data_time: 0.0333  memory: 8783  loss: 0.9061  sim_loss_v2t: 0.4519  sim_loss_t2v: 0.4542
2023/07/30 16:04:47 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 16:04:47 - mmengine - INFO - Epoch(train) [19][1879/1879]  base_lr: 3.8981e-06 lr: 3.8981e-06  eta: 6:30:43  time: 0.1796  data_time: 0.0112  memory: 8783  loss: 0.9054  sim_loss_v2t: 0.4525  sim_loss_t2v: 0.4529
2023/07/30 16:04:47 - mmengine - INFO - Saving checkpoint at 19 epochs
2023/07/30 16:06:59 - mmengine - INFO - Epoch(val) [19][100/155]    eta: 0:01:04  time: 1.1507  data_time: 0.0459  memory: 18758  
2023/07/30 16:08:03 - mmengine - INFO - Epoch(val) [19][155/155]    acc/top1: 0.7548  acc/top5: 0.9312  acc/mean1: 0.7548  data_time: 0.0497  time: 1.1547
2023/07/30 16:08:50 - mmengine - INFO - Epoch(train) [20][ 100/1879]  base_lr: 3.8903e-06 lr: 3.8903e-06  eta: 6:30:14  time: 0.3809  data_time: 0.0299  memory: 18758  loss: 0.9199  sim_loss_v2t: 0.4598  sim_loss_t2v: 0.4601
2023/07/30 16:09:33 - mmengine - INFO - Epoch(train) [20][ 200/1879]  base_lr: 3.8826e-06 lr: 3.8826e-06  eta: 6:29:38  time: 0.5454  data_time: 0.0149  memory: 8783  loss: 0.8943  sim_loss_v2t: 0.4431  sim_loss_t2v: 0.4512
2023/07/30 16:10:12 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 16:10:12 - mmengine - INFO - Epoch(train) [20][ 300/1879]  base_lr: 3.8749e-06 lr: 3.8749e-06  eta: 6:28:57  time: 0.4263  data_time: 0.0262  memory: 8783  loss: 0.9037  sim_loss_v2t: 0.4498  sim_loss_t2v: 0.4539
2023/07/30 16:10:52 - mmengine - INFO - Epoch(train) [20][ 400/1879]  base_lr: 3.8671e-06 lr: 3.8671e-06  eta: 6:28:15  time: 0.3736  data_time: 0.0268  memory: 8783  loss: 0.9193  sim_loss_v2t: 0.4543  sim_loss_t2v: 0.4651
2023/07/30 16:11:32 - mmengine - INFO - Epoch(train) [20][ 500/1879]  base_lr: 3.8593e-06 lr: 3.8593e-06  eta: 6:27:34  time: 0.4213  data_time: 0.0450  memory: 8783  loss: 0.8778  sim_loss_v2t: 0.4382  sim_loss_t2v: 0.4396
2023/07/30 16:12:10 - mmengine - INFO - Epoch(train) [20][ 600/1879]  base_lr: 3.8515e-06 lr: 3.8515e-06  eta: 6:26:51  time: 0.3480  data_time: 0.0290  memory: 8783  loss: 0.8838  sim_loss_v2t: 0.4424  sim_loss_t2v: 0.4413
2023/07/30 16:12:51 - mmengine - INFO - Epoch(train) [20][ 700/1879]  base_lr: 3.8437e-06 lr: 3.8437e-06  eta: 6:26:12  time: 0.3795  data_time: 0.0230  memory: 8783  loss: 0.9303  sim_loss_v2t: 0.4659  sim_loss_t2v: 0.4644
2023/07/30 16:13:30 - mmengine - INFO - Epoch(train) [20][ 800/1879]  base_lr: 3.8358e-06 lr: 3.8358e-06  eta: 6:25:29  time: 0.3314  data_time: 0.0268  memory: 8783  loss: 0.9068  sim_loss_v2t: 0.4532  sim_loss_t2v: 0.4536
2023/07/30 16:14:14 - mmengine - INFO - Epoch(train) [20][ 900/1879]  base_lr: 3.8280e-06 lr: 3.8280e-06  eta: 6:24:55  time: 0.4842  data_time: 0.0257  memory: 8783  loss: 0.8788  sim_loss_v2t: 0.4310  sim_loss_t2v: 0.4477
2023/07/30 16:14:54 - mmengine - INFO - Epoch(train) [20][1000/1879]  base_lr: 3.8201e-06 lr: 3.8201e-06  eta: 6:24:14  time: 0.3758  data_time: 0.0385  memory: 8783  loss: 0.9041  sim_loss_v2t: 0.4542  sim_loss_t2v: 0.4499
2023/07/30 16:15:34 - mmengine - INFO - Epoch(train) [20][1100/1879]  base_lr: 3.8122e-06 lr: 3.8122e-06  eta: 6:23:33  time: 0.4952  data_time: 0.2466  memory: 8783  loss: 0.9160  sim_loss_v2t: 0.4532  sim_loss_t2v: 0.4629
2023/07/30 16:16:13 - mmengine - INFO - Epoch(train) [20][1200/1879]  base_lr: 3.8043e-06 lr: 3.8043e-06  eta: 6:22:50  time: 0.3610  data_time: 0.0237  memory: 8783  loss: 0.9176  sim_loss_v2t: 0.4623  sim_loss_t2v: 0.4553
2023/07/30 16:16:52 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 16:16:52 - mmengine - INFO - Epoch(train) [20][1300/1879]  base_lr: 3.7964e-06 lr: 3.7964e-06  eta: 6:22:09  time: 0.4028  data_time: 0.0757  memory: 8783  loss: 0.8981  sim_loss_v2t: 0.4459  sim_loss_t2v: 0.4523
2023/07/30 16:17:32 - mmengine - INFO - Epoch(train) [20][1400/1879]  base_lr: 3.7884e-06 lr: 3.7884e-06  eta: 6:21:28  time: 0.3584  data_time: 0.0222  memory: 8783  loss: 0.9157  sim_loss_v2t: 0.4596  sim_loss_t2v: 0.4561
2023/07/30 16:18:13 - mmengine - INFO - Epoch(train) [20][1500/1879]  base_lr: 3.7804e-06 lr: 3.7804e-06  eta: 6:20:49  time: 0.3958  data_time: 0.0844  memory: 8783  loss: 0.9212  sim_loss_v2t: 0.4601  sim_loss_t2v: 0.4611
2023/07/30 16:18:53 - mmengine - INFO - Epoch(train) [20][1600/1879]  base_lr: 3.7725e-06 lr: 3.7725e-06  eta: 6:20:09  time: 0.3971  data_time: 0.0239  memory: 8783  loss: 0.9271  sim_loss_v2t: 0.4694  sim_loss_t2v: 0.4577
2023/07/30 16:19:33 - mmengine - INFO - Epoch(train) [20][1700/1879]  base_lr: 3.7645e-06 lr: 3.7645e-06  eta: 6:19:27  time: 0.3656  data_time: 0.0291  memory: 8783  loss: 0.9216  sim_loss_v2t: 0.4608  sim_loss_t2v: 0.4608
2023/07/30 16:20:13 - mmengine - INFO - Epoch(train) [20][1800/1879]  base_lr: 3.7564e-06 lr: 3.7564e-06  eta: 6:18:48  time: 0.3552  data_time: 0.0252  memory: 8783  loss: 0.8919  sim_loss_v2t: 0.4476  sim_loss_t2v: 0.4443
2023/07/30 16:20:39 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 16:20:39 - mmengine - INFO - Epoch(train) [20][1879/1879]  base_lr: 3.7501e-06 lr: 3.7501e-06  eta: 6:18:07  time: 0.1737  data_time: 0.0121  memory: 8783  loss: 0.8740  sim_loss_v2t: 0.4366  sim_loss_t2v: 0.4374
2023/07/30 16:20:39 - mmengine - INFO - Saving checkpoint at 20 epochs
2023/07/30 16:22:51 - mmengine - INFO - Epoch(val) [20][100/155]    eta: 0:01:04  time: 1.1489  data_time: 0.0440  memory: 18758  
2023/07/30 16:23:55 - mmengine - INFO - Epoch(val) [20][155/155]    acc/top1: 0.7620  acc/top5: 0.9321  acc/mean1: 0.7620  data_time: 0.0509  time: 1.1559
2023/07/30 16:23:55 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_18.pth is removed
2023/07/30 16:24:02 - mmengine - INFO - The best checkpoint with 0.7620 acc/top1 at 20 epoch is saved to best_acc_top1_epoch_20.pth.
2023/07/30 16:24:57 - mmengine - INFO - Epoch(train) [21][ 100/1879]  base_lr: 3.7420e-06 lr: 3.7420e-06  eta: 6:17:28  time: 0.3496  data_time: 0.0298  memory: 18758  loss: 0.9115  sim_loss_v2t: 0.4542  sim_loss_t2v: 0.4573
2023/07/30 16:25:39 - mmengine - INFO - Epoch(train) [21][ 200/1879]  base_lr: 3.7340e-06 lr: 3.7340e-06  eta: 6:16:51  time: 0.5798  data_time: 0.2734  memory: 8783  loss: 0.8983  sim_loss_v2t: 0.4415  sim_loss_t2v: 0.4568
2023/07/30 16:26:22 - mmengine - INFO - Epoch(train) [21][ 300/1879]  base_lr: 3.7259e-06 lr: 3.7259e-06  eta: 6:16:14  time: 0.3910  data_time: 0.1417  memory: 8783  loss: 0.8717  sim_loss_v2t: 0.4393  sim_loss_t2v: 0.4325
2023/07/30 16:27:00 - mmengine - INFO - Epoch(train) [21][ 400/1879]  base_lr: 3.7178e-06 lr: 3.7178e-06  eta: 6:15:30  time: 0.3942  data_time: 0.0251  memory: 8783  loss: 0.8822  sim_loss_v2t: 0.4395  sim_loss_t2v: 0.4427
2023/07/30 16:27:07 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 16:27:40 - mmengine - INFO - Epoch(train) [21][ 500/1879]  base_lr: 3.7096e-06 lr: 3.7096e-06  eta: 6:14:50  time: 0.3408  data_time: 0.0363  memory: 8783  loss: 0.8677  sim_loss_v2t: 0.4349  sim_loss_t2v: 0.4328
2023/07/30 16:28:22 - mmengine - INFO - Epoch(train) [21][ 600/1879]  base_lr: 3.7015e-06 lr: 3.7015e-06  eta: 6:14:12  time: 0.4346  data_time: 0.0248  memory: 8783  loss: 0.8776  sim_loss_v2t: 0.4345  sim_loss_t2v: 0.4431
2023/07/30 16:29:02 - mmengine - INFO - Epoch(train) [21][ 700/1879]  base_lr: 3.6934e-06 lr: 3.6934e-06  eta: 6:13:32  time: 0.3679  data_time: 0.0268  memory: 8783  loss: 0.8762  sim_loss_v2t: 0.4379  sim_loss_t2v: 0.4383
2023/07/30 16:29:43 - mmengine - INFO - Epoch(train) [21][ 800/1879]  base_lr: 3.6852e-06 lr: 3.6852e-06  eta: 6:12:52  time: 0.3886  data_time: 0.0262  memory: 8783  loss: 0.8422  sim_loss_v2t: 0.4192  sim_loss_t2v: 0.4229
2023/07/30 16:30:21 - mmengine - INFO - Epoch(train) [21][ 900/1879]  base_lr: 3.6770e-06 lr: 3.6770e-06  eta: 6:12:08  time: 0.3227  data_time: 0.0278  memory: 8783  loss: 0.7882  sim_loss_v2t: 0.3903  sim_loss_t2v: 0.3979
2023/07/30 16:31:01 - mmengine - INFO - Epoch(train) [21][1000/1879]  base_lr: 3.6688e-06 lr: 3.6688e-06  eta: 6:11:28  time: 0.3458  data_time: 0.0308  memory: 8783  loss: 0.8643  sim_loss_v2t: 0.4278  sim_loss_t2v: 0.4365
2023/07/30 16:31:41 - mmengine - INFO - Epoch(train) [21][1100/1879]  base_lr: 3.6606e-06 lr: 3.6606e-06  eta: 6:10:48  time: 0.3523  data_time: 0.0267  memory: 8783  loss: 0.8853  sim_loss_v2t: 0.4451  sim_loss_t2v: 0.4402
2023/07/30 16:32:23 - mmengine - INFO - Epoch(train) [21][1200/1879]  base_lr: 3.6523e-06 lr: 3.6523e-06  eta: 6:10:09  time: 0.4454  data_time: 0.0245  memory: 8783  loss: 0.8584  sim_loss_v2t: 0.4296  sim_loss_t2v: 0.4287
2023/07/30 16:33:03 - mmengine - INFO - Epoch(train) [21][1300/1879]  base_lr: 3.6441e-06 lr: 3.6441e-06  eta: 6:09:29  time: 0.3546  data_time: 0.0256  memory: 8783  loss: 0.8515  sim_loss_v2t: 0.4262  sim_loss_t2v: 0.4252
2023/07/30 16:33:43 - mmengine - INFO - Epoch(train) [21][1400/1879]  base_lr: 3.6358e-06 lr: 3.6358e-06  eta: 6:08:49  time: 0.3221  data_time: 0.0462  memory: 8783  loss: 0.8384  sim_loss_v2t: 0.4174  sim_loss_t2v: 0.4210
2023/07/30 16:33:52 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 16:34:23 - mmengine - INFO - Epoch(train) [21][1500/1879]  base_lr: 3.6275e-06 lr: 3.6275e-06  eta: 6:08:08  time: 0.3905  data_time: 0.0892  memory: 8783  loss: 0.8986  sim_loss_v2t: 0.4487  sim_loss_t2v: 0.4499
2023/07/30 16:35:02 - mmengine - INFO - Epoch(train) [21][1600/1879]  base_lr: 3.6192e-06 lr: 3.6192e-06  eta: 6:07:26  time: 0.3806  data_time: 0.0393  memory: 8783  loss: 0.8901  sim_loss_v2t: 0.4434  sim_loss_t2v: 0.4468
2023/07/30 16:35:49 - mmengine - INFO - Epoch(train) [21][1700/1879]  base_lr: 3.6109e-06 lr: 3.6109e-06  eta: 6:06:54  time: 0.4109  data_time: 0.0355  memory: 8783  loss: 0.8835  sim_loss_v2t: 0.4402  sim_loss_t2v: 0.4433
2023/07/30 16:36:28 - mmengine - INFO - Epoch(train) [21][1800/1879]  base_lr: 3.6026e-06 lr: 3.6026e-06  eta: 6:06:12  time: 0.3844  data_time: 0.0261  memory: 8783  loss: 0.8805  sim_loss_v2t: 0.4370  sim_loss_t2v: 0.4435
2023/07/30 16:36:55 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 16:36:55 - mmengine - INFO - Epoch(train) [21][1879/1879]  base_lr: 3.5960e-06 lr: 3.5960e-06  eta: 6:05:35  time: 0.2793  data_time: 0.0095  memory: 8783  loss: 0.9098  sim_loss_v2t: 0.4540  sim_loss_t2v: 0.4558
2023/07/30 16:36:55 - mmengine - INFO - Saving checkpoint at 21 epochs
2023/07/30 16:39:07 - mmengine - INFO - Epoch(val) [21][100/155]    eta: 0:01:04  time: 1.1492  data_time: 0.0450  memory: 18758  
2023/07/30 16:40:11 - mmengine - INFO - Epoch(val) [21][155/155]    acc/top1: 0.7586  acc/top5: 0.9309  acc/mean1: 0.7584  data_time: 0.0521  time: 1.1573
2023/07/30 16:40:58 - mmengine - INFO - Epoch(train) [22][ 100/1879]  base_lr: 3.5877e-06 lr: 3.5877e-06  eta: 6:05:05  time: 0.5573  data_time: 0.1739  memory: 18758  loss: 0.8609  sim_loss_v2t: 0.4285  sim_loss_t2v: 0.4325
2023/07/30 16:41:39 - mmengine - INFO - Epoch(train) [22][ 200/1879]  base_lr: 3.5793e-06 lr: 3.5793e-06  eta: 6:04:25  time: 0.4583  data_time: 0.0263  memory: 8783  loss: 0.8912  sim_loss_v2t: 0.4436  sim_loss_t2v: 0.4476
2023/07/30 16:42:19 - mmengine - INFO - Epoch(train) [22][ 300/1879]  base_lr: 3.5709e-06 lr: 3.5709e-06  eta: 6:03:44  time: 0.4561  data_time: 0.0260  memory: 8783  loss: 0.8085  sim_loss_v2t: 0.3986  sim_loss_t2v: 0.4098
2023/07/30 16:43:01 - mmengine - INFO - Epoch(train) [22][ 400/1879]  base_lr: 3.5625e-06 lr: 3.5625e-06  eta: 6:03:06  time: 0.5348  data_time: 0.1194  memory: 8783  loss: 0.8862  sim_loss_v2t: 0.4414  sim_loss_t2v: 0.4448
2023/07/30 16:43:40 - mmengine - INFO - Epoch(train) [22][ 500/1879]  base_lr: 3.5541e-06 lr: 3.5541e-06  eta: 6:02:24  time: 0.4051  data_time: 0.0280  memory: 8783  loss: 0.8508  sim_loss_v2t: 0.4230  sim_loss_t2v: 0.4279
2023/07/30 16:43:56 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 16:44:20 - mmengine - INFO - Epoch(train) [22][ 600/1879]  base_lr: 3.5457e-06 lr: 3.5457e-06  eta: 6:01:43  time: 0.4783  data_time: 0.0413  memory: 8783  loss: 0.8530  sim_loss_v2t: 0.4255  sim_loss_t2v: 0.4275
2023/07/30 16:45:00 - mmengine - INFO - Epoch(train) [22][ 700/1879]  base_lr: 3.5372e-06 lr: 3.5372e-06  eta: 6:01:02  time: 0.3691  data_time: 0.0239  memory: 8783  loss: 0.8664  sim_loss_v2t: 0.4307  sim_loss_t2v: 0.4357
2023/07/30 16:45:39 - mmengine - INFO - Epoch(train) [22][ 800/1879]  base_lr: 3.5287e-06 lr: 3.5287e-06  eta: 6:00:21  time: 0.3666  data_time: 0.0251  memory: 8783  loss: 0.8530  sim_loss_v2t: 0.4233  sim_loss_t2v: 0.4297
2023/07/30 16:46:19 - mmengine - INFO - Epoch(train) [22][ 900/1879]  base_lr: 3.5203e-06 lr: 3.5203e-06  eta: 5:59:40  time: 0.4153  data_time: 0.0248  memory: 8783  loss: 0.8694  sim_loss_v2t: 0.4331  sim_loss_t2v: 0.4363
2023/07/30 16:47:00 - mmengine - INFO - Epoch(train) [22][1000/1879]  base_lr: 3.5118e-06 lr: 3.5118e-06  eta: 5:59:01  time: 0.4756  data_time: 0.0253  memory: 8783  loss: 0.8204  sim_loss_v2t: 0.4100  sim_loss_t2v: 0.4103
2023/07/30 16:47:39 - mmengine - INFO - Epoch(train) [22][1100/1879]  base_lr: 3.5033e-06 lr: 3.5033e-06  eta: 5:58:19  time: 0.3948  data_time: 0.0275  memory: 8783  loss: 0.8496  sim_loss_v2t: 0.4224  sim_loss_t2v: 0.4271
2023/07/30 16:48:20 - mmengine - INFO - Epoch(train) [22][1200/1879]  base_lr: 3.4948e-06 lr: 3.4948e-06  eta: 5:57:39  time: 0.4097  data_time: 0.0240  memory: 8783  loss: 0.8650  sim_loss_v2t: 0.4305  sim_loss_t2v: 0.4345
2023/07/30 16:48:58 - mmengine - INFO - Epoch(train) [22][1300/1879]  base_lr: 3.4862e-06 lr: 3.4862e-06  eta: 5:56:57  time: 0.3803  data_time: 0.0278  memory: 8783  loss: 0.8865  sim_loss_v2t: 0.4425  sim_loss_t2v: 0.4440
2023/07/30 16:49:39 - mmengine - INFO - Epoch(train) [22][1400/1879]  base_lr: 3.4777e-06 lr: 3.4777e-06  eta: 5:56:17  time: 0.3767  data_time: 0.0249  memory: 8783  loss: 0.8769  sim_loss_v2t: 0.4391  sim_loss_t2v: 0.4378
2023/07/30 16:50:21 - mmengine - INFO - Epoch(train) [22][1500/1879]  base_lr: 3.4691e-06 lr: 3.4691e-06  eta: 5:55:38  time: 0.4467  data_time: 0.0961  memory: 8783  loss: 0.8629  sim_loss_v2t: 0.4276  sim_loss_t2v: 0.4352
2023/07/30 16:50:36 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 16:51:02 - mmengine - INFO - Epoch(train) [22][1600/1879]  base_lr: 3.4606e-06 lr: 3.4606e-06  eta: 5:55:00  time: 0.3259  data_time: 0.0230  memory: 8783  loss: 0.8518  sim_loss_v2t: 0.4295  sim_loss_t2v: 0.4223
2023/07/30 16:51:41 - mmengine - INFO - Epoch(train) [22][1700/1879]  base_lr: 3.4520e-06 lr: 3.4520e-06  eta: 5:54:17  time: 0.3432  data_time: 0.0247  memory: 8783  loss: 0.8653  sim_loss_v2t: 0.4310  sim_loss_t2v: 0.4343
2023/07/30 16:52:21 - mmengine - INFO - Epoch(train) [22][1800/1879]  base_lr: 3.4434e-06 lr: 3.4434e-06  eta: 5:53:36  time: 0.3552  data_time: 0.0277  memory: 8783  loss: 0.8334  sim_loss_v2t: 0.4151  sim_loss_t2v: 0.4183
2023/07/30 16:52:48 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 16:52:48 - mmengine - INFO - Epoch(train) [22][1879/1879]  base_lr: 3.4366e-06 lr: 3.4366e-06  eta: 5:52:58  time: 0.1838  data_time: 0.0110  memory: 8783  loss: 0.8619  sim_loss_v2t: 0.4303  sim_loss_t2v: 0.4317
2023/07/30 16:52:48 - mmengine - INFO - Saving checkpoint at 22 epochs
2023/07/30 16:55:00 - mmengine - INFO - Epoch(val) [22][100/155]    eta: 0:01:04  time: 1.1451  data_time: 0.0409  memory: 18758  
2023/07/30 16:56:03 - mmengine - INFO - Epoch(val) [22][155/155]    acc/top1: 0.7603  acc/top5: 0.9315  acc/mean1: 0.7602  data_time: 0.0520  time: 1.1565
2023/07/30 16:56:50 - mmengine - INFO - Epoch(train) [23][ 100/1879]  base_lr: 3.4280e-06 lr: 3.4280e-06  eta: 5:52:27  time: 0.3870  data_time: 0.0285  memory: 18758  loss: 0.8178  sim_loss_v2t: 0.4076  sim_loss_t2v: 0.4101
2023/07/30 16:57:31 - mmengine - INFO - Epoch(train) [23][ 200/1879]  base_lr: 3.4194e-06 lr: 3.4194e-06  eta: 5:51:48  time: 0.3723  data_time: 0.0316  memory: 8783  loss: 0.8742  sim_loss_v2t: 0.4398  sim_loss_t2v: 0.4344
2023/07/30 16:58:11 - mmengine - INFO - Epoch(train) [23][ 300/1879]  base_lr: 3.4107e-06 lr: 3.4107e-06  eta: 5:51:06  time: 0.3598  data_time: 0.0238  memory: 8783  loss: 0.8663  sim_loss_v2t: 0.4359  sim_loss_t2v: 0.4304
2023/07/30 16:58:50 - mmengine - INFO - Epoch(train) [23][ 400/1879]  base_lr: 3.4021e-06 lr: 3.4021e-06  eta: 5:50:24  time: 0.3504  data_time: 0.0961  memory: 8783  loss: 0.8759  sim_loss_v2t: 0.4359  sim_loss_t2v: 0.4400
2023/07/30 16:59:31 - mmengine - INFO - Epoch(train) [23][ 500/1879]  base_lr: 3.3934e-06 lr: 3.3934e-06  eta: 5:49:45  time: 0.4684  data_time: 0.1657  memory: 8783  loss: 0.8733  sim_loss_v2t: 0.4336  sim_loss_t2v: 0.4397
2023/07/30 17:00:11 - mmengine - INFO - Epoch(train) [23][ 600/1879]  base_lr: 3.3847e-06 lr: 3.3847e-06  eta: 5:49:05  time: 0.4013  data_time: 0.1278  memory: 8783  loss: 0.8629  sim_loss_v2t: 0.4271  sim_loss_t2v: 0.4358
2023/07/30 17:00:36 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 17:00:51 - mmengine - INFO - Epoch(train) [23][ 700/1879]  base_lr: 3.3760e-06 lr: 3.3760e-06  eta: 5:48:24  time: 0.3984  data_time: 0.1482  memory: 8783  loss: 0.8334  sim_loss_v2t: 0.4143  sim_loss_t2v: 0.4191
2023/07/30 17:01:30 - mmengine - INFO - Epoch(train) [23][ 800/1879]  base_lr: 3.3673e-06 lr: 3.3673e-06  eta: 5:47:42  time: 0.3551  data_time: 0.1176  memory: 8783  loss: 0.8133  sim_loss_v2t: 0.4034  sim_loss_t2v: 0.4099
2023/07/30 17:02:10 - mmengine - INFO - Epoch(train) [23][ 900/1879]  base_lr: 3.3586e-06 lr: 3.3586e-06  eta: 5:47:02  time: 0.4936  data_time: 0.0946  memory: 8783  loss: 0.8384  sim_loss_v2t: 0.4157  sim_loss_t2v: 0.4228
2023/07/30 17:02:51 - mmengine - INFO - Epoch(train) [23][1000/1879]  base_lr: 3.3499e-06 lr: 3.3499e-06  eta: 5:46:22  time: 0.3652  data_time: 0.0507  memory: 8783  loss: 0.8431  sim_loss_v2t: 0.4178  sim_loss_t2v: 0.4253
2023/07/30 17:03:32 - mmengine - INFO - Epoch(train) [23][1100/1879]  base_lr: 3.3411e-06 lr: 3.3411e-06  eta: 5:45:42  time: 0.3898  data_time: 0.0470  memory: 8783  loss: 0.8357  sim_loss_v2t: 0.4174  sim_loss_t2v: 0.4183
2023/07/30 17:04:10 - mmengine - INFO - Epoch(train) [23][1200/1879]  base_lr: 3.3324e-06 lr: 3.3324e-06  eta: 5:45:00  time: 0.3374  data_time: 0.0864  memory: 8783  loss: 0.8029  sim_loss_v2t: 0.4057  sim_loss_t2v: 0.3972
2023/07/30 17:04:50 - mmengine - INFO - Epoch(train) [23][1300/1879]  base_lr: 3.3236e-06 lr: 3.3236e-06  eta: 5:44:19  time: 0.3363  data_time: 0.0270  memory: 8783  loss: 0.7930  sim_loss_v2t: 0.3987  sim_loss_t2v: 0.3943
2023/07/30 17:05:31 - mmengine - INFO - Epoch(train) [23][1400/1879]  base_lr: 3.3148e-06 lr: 3.3148e-06  eta: 5:43:39  time: 0.3988  data_time: 0.0302  memory: 8783  loss: 0.8123  sim_loss_v2t: 0.4072  sim_loss_t2v: 0.4050
2023/07/30 17:06:10 - mmengine - INFO - Epoch(train) [23][1500/1879]  base_lr: 3.3060e-06 lr: 3.3060e-06  eta: 5:42:58  time: 0.3611  data_time: 0.0309  memory: 8783  loss: 0.8066  sim_loss_v2t: 0.4059  sim_loss_t2v: 0.4007
2023/07/30 17:06:50 - mmengine - INFO - Epoch(train) [23][1600/1879]  base_lr: 3.2972e-06 lr: 3.2972e-06  eta: 5:42:17  time: 0.3880  data_time: 0.0231  memory: 8783  loss: 0.8462  sim_loss_v2t: 0.4238  sim_loss_t2v: 0.4225
2023/07/30 17:07:21 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 17:07:38 - mmengine - INFO - Epoch(train) [23][1700/1879]  base_lr: 3.2884e-06 lr: 3.2884e-06  eta: 5:41:46  time: 0.3834  data_time: 0.0283  memory: 8783  loss: 0.8591  sim_loss_v2t: 0.4263  sim_loss_t2v: 0.4328
2023/07/30 17:08:20 - mmengine - INFO - Epoch(train) [23][1800/1879]  base_lr: 3.2796e-06 lr: 3.2796e-06  eta: 5:41:07  time: 0.4919  data_time: 0.0207  memory: 8783  loss: 0.8288  sim_loss_v2t: 0.4149  sim_loss_t2v: 0.4139
2023/07/30 17:08:44 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 17:08:44 - mmengine - INFO - Epoch(train) [23][1879/1879]  base_lr: 3.2726e-06 lr: 3.2726e-06  eta: 5:40:27  time: 0.2414  data_time: 0.0122  memory: 8783  loss: 0.8569  sim_loss_v2t: 0.4251  sim_loss_t2v: 0.4318
2023/07/30 17:08:45 - mmengine - INFO - Saving checkpoint at 23 epochs
2023/07/30 17:10:56 - mmengine - INFO - Epoch(val) [23][100/155]    eta: 0:01:04  time: 1.1431  data_time: 0.0395  memory: 18758  
2023/07/30 17:12:00 - mmengine - INFO - Epoch(val) [23][155/155]    acc/top1: 0.7623  acc/top5: 0.9297  acc/mean1: 0.7622  data_time: 0.0511  time: 1.1556
2023/07/30 17:12:00 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_20.pth is removed
2023/07/30 17:12:06 - mmengine - INFO - The best checkpoint with 0.7623 acc/top1 at 23 epoch is saved to best_acc_top1_epoch_23.pth.
2023/07/30 17:13:00 - mmengine - INFO - Epoch(train) [24][ 100/1879]  base_lr: 3.2638e-06 lr: 3.2638e-06  eta: 5:39:46  time: 0.3400  data_time: 0.1101  memory: 18758  loss: 0.8375  sim_loss_v2t: 0.4189  sim_loss_t2v: 0.4186
2023/07/30 17:13:43 - mmengine - INFO - Epoch(train) [24][ 200/1879]  base_lr: 3.2549e-06 lr: 3.2549e-06  eta: 5:39:09  time: 0.2634  data_time: 0.0506  memory: 8783  loss: 0.8445  sim_loss_v2t: 0.4251  sim_loss_t2v: 0.4193
2023/07/30 17:14:22 - mmengine - INFO - Epoch(train) [24][ 300/1879]  base_lr: 3.2461e-06 lr: 3.2461e-06  eta: 5:38:28  time: 0.3714  data_time: 0.0778  memory: 8783  loss: 0.8245  sim_loss_v2t: 0.4099  sim_loss_t2v: 0.4145
2023/07/30 17:15:02 - mmengine - INFO - Epoch(train) [24][ 400/1879]  base_lr: 3.2372e-06 lr: 3.2372e-06  eta: 5:37:47  time: 0.3797  data_time: 0.0286  memory: 8783  loss: 0.8104  sim_loss_v2t: 0.4116  sim_loss_t2v: 0.3988
2023/07/30 17:15:42 - mmengine - INFO - Epoch(train) [24][ 500/1879]  base_lr: 3.2283e-06 lr: 3.2283e-06  eta: 5:37:06  time: 0.3645  data_time: 0.0280  memory: 8783  loss: 0.8454  sim_loss_v2t: 0.4195  sim_loss_t2v: 0.4258
2023/07/30 17:16:22 - mmengine - INFO - Epoch(train) [24][ 600/1879]  base_lr: 3.2194e-06 lr: 3.2194e-06  eta: 5:36:26  time: 0.4464  data_time: 0.0263  memory: 8783  loss: 0.8449  sim_loss_v2t: 0.4167  sim_loss_t2v: 0.4282
2023/07/30 17:17:03 - mmengine - INFO - Epoch(train) [24][ 700/1879]  base_lr: 3.2105e-06 lr: 3.2105e-06  eta: 5:35:46  time: 0.3678  data_time: 0.0263  memory: 8783  loss: 0.8470  sim_loss_v2t: 0.4272  sim_loss_t2v: 0.4198
2023/07/30 17:17:36 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 17:17:42 - mmengine - INFO - Epoch(train) [24][ 800/1879]  base_lr: 3.2016e-06 lr: 3.2016e-06  eta: 5:35:05  time: 0.4058  data_time: 0.0448  memory: 8783  loss: 0.7949  sim_loss_v2t: 0.4027  sim_loss_t2v: 0.3922
2023/07/30 17:18:24 - mmengine - INFO - Epoch(train) [24][ 900/1879]  base_lr: 3.1927e-06 lr: 3.1927e-06  eta: 5:34:26  time: 0.4732  data_time: 0.0228  memory: 8783  loss: 0.8205  sim_loss_v2t: 0.4092  sim_loss_t2v: 0.4113
2023/07/30 17:19:04 - mmengine - INFO - Epoch(train) [24][1000/1879]  base_lr: 3.1838e-06 lr: 3.1838e-06  eta: 5:33:46  time: 0.3958  data_time: 0.0348  memory: 8783  loss: 0.8175  sim_loss_v2t: 0.4040  sim_loss_t2v: 0.4135
2023/07/30 17:19:43 - mmengine - INFO - Epoch(train) [24][1100/1879]  base_lr: 3.1748e-06 lr: 3.1748e-06  eta: 5:33:04  time: 0.3537  data_time: 0.0249  memory: 8783  loss: 0.8510  sim_loss_v2t: 0.4280  sim_loss_t2v: 0.4230
2023/07/30 17:20:23 - mmengine - INFO - Epoch(train) [24][1200/1879]  base_lr: 3.1659e-06 lr: 3.1659e-06  eta: 5:32:23  time: 0.4048  data_time: 0.0301  memory: 8783  loss: 0.8969  sim_loss_v2t: 0.4467  sim_loss_t2v: 0.4503
2023/07/30 17:21:02 - mmengine - INFO - Epoch(train) [24][1300/1879]  base_lr: 3.1569e-06 lr: 3.1569e-06  eta: 5:31:41  time: 0.3684  data_time: 0.0252  memory: 8783  loss: 0.8837  sim_loss_v2t: 0.4406  sim_loss_t2v: 0.4431
2023/07/30 17:21:47 - mmengine - INFO - Epoch(train) [24][1400/1879]  base_lr: 3.1480e-06 lr: 3.1480e-06  eta: 5:31:07  time: 0.6635  data_time: 0.0235  memory: 8783  loss: 0.8065  sim_loss_v2t: 0.4054  sim_loss_t2v: 0.4011
2023/07/30 17:22:26 - mmengine - INFO - Epoch(train) [24][1500/1879]  base_lr: 3.1390e-06 lr: 3.1390e-06  eta: 5:30:25  time: 0.3887  data_time: 0.0282  memory: 8783  loss: 0.8466  sim_loss_v2t: 0.4181  sim_loss_t2v: 0.4285
2023/07/30 17:23:07 - mmengine - INFO - Epoch(train) [24][1600/1879]  base_lr: 3.1300e-06 lr: 3.1300e-06  eta: 5:29:45  time: 0.3278  data_time: 0.0228  memory: 8783  loss: 0.8425  sim_loss_v2t: 0.4196  sim_loss_t2v: 0.4229
2023/07/30 17:23:45 - mmengine - INFO - Epoch(train) [24][1700/1879]  base_lr: 3.1210e-06 lr: 3.1210e-06  eta: 5:29:03  time: 0.3661  data_time: 0.0244  memory: 8783  loss: 0.8634  sim_loss_v2t: 0.4294  sim_loss_t2v: 0.4340
2023/07/30 17:24:21 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 17:24:27 - mmengine - INFO - Epoch(train) [24][1800/1879]  base_lr: 3.1120e-06 lr: 3.1120e-06  eta: 5:28:24  time: 0.3344  data_time: 0.0232  memory: 8783  loss: 0.8428  sim_loss_v2t: 0.4178  sim_loss_t2v: 0.4251
2023/07/30 17:24:53 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 17:24:53 - mmengine - INFO - Epoch(train) [24][1879/1879]  base_lr: 3.1049e-06 lr: 3.1049e-06  eta: 5:27:47  time: 0.2266  data_time: 0.0660  memory: 8783  loss: 0.8100  sim_loss_v2t: 0.4032  sim_loss_t2v: 0.4068
2023/07/30 17:24:53 - mmengine - INFO - Saving checkpoint at 24 epochs
2023/07/30 17:27:06 - mmengine - INFO - Epoch(val) [24][100/155]    eta: 0:01:04  time: 1.1500  data_time: 0.0450  memory: 18758  
2023/07/30 17:28:09 - mmengine - INFO - Epoch(val) [24][155/155]    acc/top1: 0.7609  acc/top5: 0.9336  acc/mean1: 0.7608  data_time: 0.0508  time: 1.1556
2023/07/30 17:28:57 - mmengine - INFO - Epoch(train) [25][ 100/1879]  base_lr: 3.0959e-06 lr: 3.0959e-06  eta: 5:27:15  time: 0.4769  data_time: 0.0322  memory: 18758  loss: 0.7943  sim_loss_v2t: 0.3952  sim_loss_t2v: 0.3991
2023/07/30 17:29:38 - mmengine - INFO - Epoch(train) [25][ 200/1879]  base_lr: 3.0869e-06 lr: 3.0869e-06  eta: 5:26:34  time: 0.4437  data_time: 0.0219  memory: 8783  loss: 0.8728  sim_loss_v2t: 0.4347  sim_loss_t2v: 0.4380
2023/07/30 17:30:16 - mmengine - INFO - Epoch(train) [25][ 300/1879]  base_lr: 3.0778e-06 lr: 3.0778e-06  eta: 5:25:52  time: 0.3626  data_time: 0.0295  memory: 8783  loss: 0.8049  sim_loss_v2t: 0.4012  sim_loss_t2v: 0.4037
2023/07/30 17:30:56 - mmengine - INFO - Epoch(train) [25][ 400/1879]  base_lr: 3.0688e-06 lr: 3.0688e-06  eta: 5:25:12  time: 0.3684  data_time: 0.0304  memory: 8783  loss: 0.7863  sim_loss_v2t: 0.3927  sim_loss_t2v: 0.3935
2023/07/30 17:31:39 - mmengine - INFO - Epoch(train) [25][ 500/1879]  base_lr: 3.0597e-06 lr: 3.0597e-06  eta: 5:24:33  time: 0.4958  data_time: 0.0192  memory: 8783  loss: 0.8598  sim_loss_v2t: 0.4277  sim_loss_t2v: 0.4321
2023/07/30 17:32:18 - mmengine - INFO - Epoch(train) [25][ 600/1879]  base_lr: 3.0507e-06 lr: 3.0507e-06  eta: 5:23:53  time: 0.4291  data_time: 0.1904  memory: 8783  loss: 0.8387  sim_loss_v2t: 0.4170  sim_loss_t2v: 0.4218
2023/07/30 17:32:57 - mmengine - INFO - Epoch(train) [25][ 700/1879]  base_lr: 3.0416e-06 lr: 3.0416e-06  eta: 5:23:11  time: 0.4000  data_time: 0.0242  memory: 8783  loss: 0.8142  sim_loss_v2t: 0.4083  sim_loss_t2v: 0.4059
2023/07/30 17:33:39 - mmengine - INFO - Epoch(train) [25][ 800/1879]  base_lr: 3.0325e-06 lr: 3.0325e-06  eta: 5:22:32  time: 0.4091  data_time: 0.0298  memory: 8783  loss: 0.8271  sim_loss_v2t: 0.4147  sim_loss_t2v: 0.4124
2023/07/30 17:34:20 - mmengine - INFO - Epoch(train) [25][ 900/1879]  base_lr: 3.0235e-06 lr: 3.0235e-06  eta: 5:21:53  time: 0.2640  data_time: 0.0187  memory: 8783  loss: 0.7978  sim_loss_v2t: 0.3986  sim_loss_t2v: 0.3992
2023/07/30 17:34:21 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 17:35:01 - mmengine - INFO - Epoch(train) [25][1000/1879]  base_lr: 3.0144e-06 lr: 3.0144e-06  eta: 5:21:13  time: 0.4253  data_time: 0.0254  memory: 8783  loss: 0.8179  sim_loss_v2t: 0.4111  sim_loss_t2v: 0.4068
2023/07/30 17:35:41 - mmengine - INFO - Epoch(train) [25][1100/1879]  base_lr: 3.0053e-06 lr: 3.0053e-06  eta: 5:20:32  time: 0.4565  data_time: 0.0338  memory: 8783  loss: 0.8533  sim_loss_v2t: 0.4277  sim_loss_t2v: 0.4256
2023/07/30 17:36:19 - mmengine - INFO - Epoch(train) [25][1200/1879]  base_lr: 2.9962e-06 lr: 2.9962e-06  eta: 5:19:50  time: 0.3670  data_time: 0.0293  memory: 8783  loss: 0.8589  sim_loss_v2t: 0.4267  sim_loss_t2v: 0.4322
2023/07/30 17:36:59 - mmengine - INFO - Epoch(train) [25][1300/1879]  base_lr: 2.9871e-06 lr: 2.9871e-06  eta: 5:19:09  time: 0.3875  data_time: 0.0247  memory: 8783  loss: 0.7944  sim_loss_v2t: 0.3979  sim_loss_t2v: 0.3965
2023/07/30 17:37:41 - mmengine - INFO - Epoch(train) [25][1400/1879]  base_lr: 2.9780e-06 lr: 2.9780e-06  eta: 5:18:31  time: 0.4241  data_time: 0.0254  memory: 8783  loss: 0.8054  sim_loss_v2t: 0.4027  sim_loss_t2v: 0.4026
2023/07/30 17:38:22 - mmengine - INFO - Epoch(train) [25][1500/1879]  base_lr: 2.9688e-06 lr: 2.9688e-06  eta: 5:17:51  time: 0.4391  data_time: 0.0286  memory: 8783  loss: 0.8543  sim_loss_v2t: 0.4282  sim_loss_t2v: 0.4261
2023/07/30 17:39:01 - mmengine - INFO - Epoch(train) [25][1600/1879]  base_lr: 2.9597e-06 lr: 2.9597e-06  eta: 5:17:09  time: 0.4321  data_time: 0.0283  memory: 8783  loss: 0.8560  sim_loss_v2t: 0.4282  sim_loss_t2v: 0.4278
2023/07/30 17:39:39 - mmengine - INFO - Epoch(train) [25][1700/1879]  base_lr: 2.9506e-06 lr: 2.9506e-06  eta: 5:16:27  time: 0.3291  data_time: 0.0912  memory: 8783  loss: 0.8500  sim_loss_v2t: 0.4268  sim_loss_t2v: 0.4233
2023/07/30 17:40:20 - mmengine - INFO - Epoch(train) [25][1800/1879]  base_lr: 2.9414e-06 lr: 2.9414e-06  eta: 5:15:48  time: 0.4333  data_time: 0.1022  memory: 8783  loss: 0.8443  sim_loss_v2t: 0.4215  sim_loss_t2v: 0.4228
2023/07/30 17:40:51 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 17:40:51 - mmengine - INFO - Epoch(train) [25][1879/1879]  base_lr: 2.9342e-06 lr: 2.9342e-06  eta: 5:15:14  time: 0.2012  data_time: 0.0418  memory: 8783  loss: 0.7957  sim_loss_v2t: 0.3961  sim_loss_t2v: 0.3996
2023/07/30 17:40:51 - mmengine - INFO - Saving checkpoint at 25 epochs
2023/07/30 17:43:02 - mmengine - INFO - Epoch(val) [25][100/155]    eta: 0:01:04  time: 1.1485  data_time: 0.0446  memory: 18758  
2023/07/30 17:44:06 - mmengine - INFO - Epoch(val) [25][155/155]    acc/top1: 0.7628  acc/top5: 0.9328  acc/mean1: 0.7627  data_time: 0.0524  time: 1.1575
2023/07/30 17:44:06 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_23.pth is removed
2023/07/30 17:44:13 - mmengine - INFO - The best checkpoint with 0.7628 acc/top1 at 25 epoch is saved to best_acc_top1_epoch_25.pth.
2023/07/30 17:44:36 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 17:45:05 - mmengine - INFO - Epoch(train) [26][ 100/1879]  base_lr: 2.9251e-06 lr: 2.9251e-06  eta: 5:14:34  time: 0.4111  data_time: 0.1625  memory: 18758  loss: 0.8159  sim_loss_v2t: 0.4046  sim_loss_t2v: 0.4113
2023/07/30 17:45:48 - mmengine - INFO - Epoch(train) [26][ 200/1879]  base_lr: 2.9159e-06 lr: 2.9159e-06  eta: 5:13:55  time: 0.4574  data_time: 0.1413  memory: 8783  loss: 0.7748  sim_loss_v2t: 0.3849  sim_loss_t2v: 0.3899
2023/07/30 17:46:26 - mmengine - INFO - Epoch(train) [26][ 300/1879]  base_lr: 2.9067e-06 lr: 2.9067e-06  eta: 5:13:13  time: 0.4086  data_time: 0.1581  memory: 8783  loss: 0.8796  sim_loss_v2t: 0.4432  sim_loss_t2v: 0.4364
2023/07/30 17:47:07 - mmengine - INFO - Epoch(train) [26][ 400/1879]  base_lr: 2.8976e-06 lr: 2.8976e-06  eta: 5:12:33  time: 0.3376  data_time: 0.0250  memory: 8783  loss: 0.8057  sim_loss_v2t: 0.4023  sim_loss_t2v: 0.4033
2023/07/30 17:47:46 - mmengine - INFO - Epoch(train) [26][ 500/1879]  base_lr: 2.8884e-06 lr: 2.8884e-06  eta: 5:11:52  time: 0.3730  data_time: 0.0270  memory: 8783  loss: 0.8335  sim_loss_v2t: 0.4089  sim_loss_t2v: 0.4246
2023/07/30 17:48:27 - mmengine - INFO - Epoch(train) [26][ 600/1879]  base_lr: 2.8792e-06 lr: 2.8792e-06  eta: 5:11:13  time: 0.4697  data_time: 0.0309  memory: 8783  loss: 0.8246  sim_loss_v2t: 0.4110  sim_loss_t2v: 0.4136
2023/07/30 17:49:07 - mmengine - INFO - Epoch(train) [26][ 700/1879]  base_lr: 2.8700e-06 lr: 2.8700e-06  eta: 5:10:32  time: 0.3591  data_time: 0.0308  memory: 8783  loss: 0.8707  sim_loss_v2t: 0.4325  sim_loss_t2v: 0.4382
2023/07/30 17:49:47 - mmengine - INFO - Epoch(train) [26][ 800/1879]  base_lr: 2.8609e-06 lr: 2.8609e-06  eta: 5:09:51  time: 0.3705  data_time: 0.0247  memory: 8783  loss: 0.7951  sim_loss_v2t: 0.4003  sim_loss_t2v: 0.3948
2023/07/30 17:50:26 - mmengine - INFO - Epoch(train) [26][ 900/1879]  base_lr: 2.8517e-06 lr: 2.8517e-06  eta: 5:09:09  time: 0.4081  data_time: 0.0318  memory: 8783  loss: 0.8226  sim_loss_v2t: 0.4100  sim_loss_t2v: 0.4126
2023/07/30 17:51:07 - mmengine - INFO - Epoch(train) [26][1000/1879]  base_lr: 2.8425e-06 lr: 2.8425e-06  eta: 5:08:30  time: 0.4576  data_time: 0.0267  memory: 8783  loss: 0.8109  sim_loss_v2t: 0.4033  sim_loss_t2v: 0.4076
2023/07/30 17:51:16 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 17:51:47 - mmengine - INFO - Epoch(train) [26][1100/1879]  base_lr: 2.8333e-06 lr: 2.8333e-06  eta: 5:07:50  time: 0.3619  data_time: 0.0261  memory: 8783  loss: 0.7782  sim_loss_v2t: 0.3845  sim_loss_t2v: 0.3937
2023/07/30 17:52:26 - mmengine - INFO - Epoch(train) [26][1200/1879]  base_lr: 2.8240e-06 lr: 2.8240e-06  eta: 5:07:08  time: 0.3593  data_time: 0.0406  memory: 8783  loss: 0.8075  sim_loss_v2t: 0.4016  sim_loss_t2v: 0.4060
2023/07/30 17:53:07 - mmengine - INFO - Epoch(train) [26][1300/1879]  base_lr: 2.8148e-06 lr: 2.8148e-06  eta: 5:06:28  time: 0.4202  data_time: 0.0428  memory: 8783  loss: 0.8132  sim_loss_v2t: 0.4024  sim_loss_t2v: 0.4109
2023/07/30 17:53:46 - mmengine - INFO - Epoch(train) [26][1400/1879]  base_lr: 2.8056e-06 lr: 2.8056e-06  eta: 5:05:47  time: 0.3528  data_time: 0.0232  memory: 8783  loss: 0.8172  sim_loss_v2t: 0.4090  sim_loss_t2v: 0.4082
2023/07/30 17:54:26 - mmengine - INFO - Epoch(train) [26][1500/1879]  base_lr: 2.7964e-06 lr: 2.7964e-06  eta: 5:05:06  time: 0.3484  data_time: 0.0306  memory: 8783  loss: 0.8767  sim_loss_v2t: 0.4398  sim_loss_t2v: 0.4369
2023/07/30 17:55:06 - mmengine - INFO - Epoch(train) [26][1600/1879]  base_lr: 2.7872e-06 lr: 2.7872e-06  eta: 5:04:26  time: 0.3285  data_time: 0.0280  memory: 8783  loss: 0.7945  sim_loss_v2t: 0.4005  sim_loss_t2v: 0.3940
2023/07/30 17:55:48 - mmengine - INFO - Epoch(train) [26][1700/1879]  base_lr: 2.7779e-06 lr: 2.7779e-06  eta: 5:03:47  time: 0.4461  data_time: 0.0257  memory: 8783  loss: 0.8365  sim_loss_v2t: 0.4222  sim_loss_t2v: 0.4144
2023/07/30 17:56:29 - mmengine - INFO - Epoch(train) [26][1800/1879]  base_lr: 2.7687e-06 lr: 2.7687e-06  eta: 5:03:08  time: 0.3668  data_time: 0.0266  memory: 8783  loss: 0.8210  sim_loss_v2t: 0.4107  sim_loss_t2v: 0.4103
2023/07/30 17:56:56 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 17:56:56 - mmengine - INFO - Epoch(train) [26][1879/1879]  base_lr: 2.7614e-06 lr: 2.7614e-06  eta: 5:02:32  time: 0.2393  data_time: 0.0116  memory: 8783  loss: 0.7664  sim_loss_v2t: 0.3809  sim_loss_t2v: 0.3855
2023/07/30 17:56:56 - mmengine - INFO - Saving checkpoint at 26 epochs
2023/07/30 17:59:08 - mmengine - INFO - Epoch(val) [26][100/155]    eta: 0:01:04  time: 1.1430  data_time: 0.0434  memory: 18758  
2023/07/30 18:00:11 - mmengine - INFO - Epoch(val) [26][155/155]    acc/top1: 0.7635  acc/top5: 0.9301  acc/mean1: 0.7635  data_time: 0.0513  time: 1.1529
2023/07/30 18:00:11 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_25.pth is removed
2023/07/30 18:00:18 - mmengine - INFO - The best checkpoint with 0.7635 acc/top1 at 26 epoch is saved to best_acc_top1_epoch_26.pth.
2023/07/30 18:01:16 - mmengine - INFO - Epoch(train) [27][ 100/1879]  base_lr: 2.7522e-06 lr: 2.7522e-06  eta: 5:01:55  time: 0.3462  data_time: 0.0998  memory: 18758  loss: 0.8117  sim_loss_v2t: 0.4058  sim_loss_t2v: 0.4059
2023/07/30 18:01:34 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 18:01:56 - mmengine - INFO - Epoch(train) [27][ 200/1879]  base_lr: 2.7429e-06 lr: 2.7429e-06  eta: 5:01:15  time: 0.4212  data_time: 0.0220  memory: 8783  loss: 0.7817  sim_loss_v2t: 0.3856  sim_loss_t2v: 0.3961
2023/07/30 18:02:35 - mmengine - INFO - Epoch(train) [27][ 300/1879]  base_lr: 2.7337e-06 lr: 2.7337e-06  eta: 5:00:34  time: 0.3774  data_time: 0.0262  memory: 8783  loss: 0.8312  sim_loss_v2t: 0.4182  sim_loss_t2v: 0.4129
2023/07/30 18:03:16 - mmengine - INFO - Epoch(train) [27][ 400/1879]  base_lr: 2.7244e-06 lr: 2.7244e-06  eta: 4:59:54  time: 0.4246  data_time: 0.0299  memory: 8783  loss: 0.8172  sim_loss_v2t: 0.4050  sim_loss_t2v: 0.4122
2023/07/30 18:03:57 - mmengine - INFO - Epoch(train) [27][ 500/1879]  base_lr: 2.7152e-06 lr: 2.7152e-06  eta: 4:59:14  time: 0.4870  data_time: 0.0243  memory: 8783  loss: 0.7972  sim_loss_v2t: 0.3946  sim_loss_t2v: 0.4026
2023/07/30 18:04:35 - mmengine - INFO - Epoch(train) [27][ 600/1879]  base_lr: 2.7059e-06 lr: 2.7059e-06  eta: 4:58:32  time: 0.3617  data_time: 0.0243  memory: 8783  loss: 0.8213  sim_loss_v2t: 0.4082  sim_loss_t2v: 0.4131
2023/07/30 18:06:05 - mmengine - INFO - Epoch(train) [27][ 700/1879]  base_lr: 2.6967e-06 lr: 2.6967e-06  eta: 4:58:36  time: 0.4362  data_time: 0.0253  memory: 8783  loss: 0.7616  sim_loss_v2t: 0.3814  sim_loss_t2v: 0.3802
2023/07/30 18:06:45 - mmengine - INFO - Epoch(train) [27][ 800/1879]  base_lr: 2.6874e-06 lr: 2.6874e-06  eta: 4:57:55  time: 0.2649  data_time: 0.0259  memory: 8783  loss: 0.8092  sim_loss_v2t: 0.4024  sim_loss_t2v: 0.4068
2023/07/30 18:07:24 - mmengine - INFO - Epoch(train) [27][ 900/1879]  base_lr: 2.6781e-06 lr: 2.6781e-06  eta: 4:57:14  time: 0.3448  data_time: 0.0308  memory: 8783  loss: 0.8149  sim_loss_v2t: 0.4075  sim_loss_t2v: 0.4074
2023/07/30 18:08:04 - mmengine - INFO - Epoch(train) [27][1000/1879]  base_lr: 2.6689e-06 lr: 2.6689e-06  eta: 4:56:33  time: 0.4059  data_time: 0.0251  memory: 8783  loss: 0.7748  sim_loss_v2t: 0.3854  sim_loss_t2v: 0.3894
2023/07/30 18:08:44 - mmengine - INFO - Epoch(train) [27][1100/1879]  base_lr: 2.6596e-06 lr: 2.6596e-06  eta: 4:55:53  time: 0.4508  data_time: 0.0264  memory: 8783  loss: 0.7849  sim_loss_v2t: 0.3853  sim_loss_t2v: 0.3996
2023/07/30 18:09:06 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 18:09:26 - mmengine - INFO - Epoch(train) [27][1200/1879]  base_lr: 2.6503e-06 lr: 2.6503e-06  eta: 4:55:14  time: 0.3439  data_time: 0.0264  memory: 8783  loss: 0.8098  sim_loss_v2t: 0.4060  sim_loss_t2v: 0.4038
2023/07/30 18:10:06 - mmengine - INFO - Epoch(train) [27][1300/1879]  base_lr: 2.6411e-06 lr: 2.6411e-06  eta: 4:54:33  time: 0.3951  data_time: 0.1287  memory: 8783  loss: 0.8073  sim_loss_v2t: 0.4023  sim_loss_t2v: 0.4049
2023/07/30 18:10:46 - mmengine - INFO - Epoch(train) [27][1400/1879]  base_lr: 2.6318e-06 lr: 2.6318e-06  eta: 4:53:52  time: 0.3587  data_time: 0.0641  memory: 8783  loss: 0.7566  sim_loss_v2t: 0.3763  sim_loss_t2v: 0.3803
2023/07/30 18:11:27 - mmengine - INFO - Epoch(train) [27][1500/1879]  base_lr: 2.6225e-06 lr: 2.6225e-06  eta: 4:53:12  time: 0.4775  data_time: 0.1581  memory: 8783  loss: 0.7761  sim_loss_v2t: 0.3827  sim_loss_t2v: 0.3935
2023/07/30 18:12:07 - mmengine - INFO - Epoch(train) [27][1600/1879]  base_lr: 2.6132e-06 lr: 2.6132e-06  eta: 4:52:32  time: 0.4572  data_time: 0.1578  memory: 8783  loss: 0.7866  sim_loss_v2t: 0.3906  sim_loss_t2v: 0.3960
2023/07/30 18:12:47 - mmengine - INFO - Epoch(train) [27][1700/1879]  base_lr: 2.6040e-06 lr: 2.6040e-06  eta: 4:51:51  time: 0.4420  data_time: 0.1641  memory: 8783  loss: 0.7964  sim_loss_v2t: 0.3976  sim_loss_t2v: 0.3989
2023/07/30 18:13:27 - mmengine - INFO - Epoch(train) [27][1800/1879]  base_lr: 2.5947e-06 lr: 2.5947e-06  eta: 4:51:11  time: 0.3798  data_time: 0.1399  memory: 8783  loss: 0.7631  sim_loss_v2t: 0.3817  sim_loss_t2v: 0.3815
2023/07/30 18:13:53 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 18:13:53 - mmengine - INFO - Epoch(train) [27][1879/1879]  base_lr: 2.5873e-06 lr: 2.5873e-06  eta: 4:50:33  time: 0.1743  data_time: 0.0183  memory: 8783  loss: 0.7830  sim_loss_v2t: 0.3882  sim_loss_t2v: 0.3948
2023/07/30 18:13:53 - mmengine - INFO - Saving checkpoint at 27 epochs
2023/07/30 18:16:54 - mmengine - INFO - Epoch(val) [27][100/155]    eta: 0:01:31  time: 1.1335  data_time: 0.0288  memory: 18758  
2023/07/30 18:17:57 - mmengine - INFO - Epoch(val) [27][155/155]    acc/top1: 0.7635  acc/top5: 0.9313  acc/mean1: 0.7634  data_time: 0.3647  time: 1.4673
2023/07/30 18:18:45 - mmengine - INFO - Epoch(train) [28][ 100/1879]  base_lr: 2.5781e-06 lr: 2.5781e-06  eta: 4:49:59  time: 0.4836  data_time: 0.0247  memory: 18758  loss: 0.7346  sim_loss_v2t: 0.3671  sim_loss_t2v: 0.3675
2023/07/30 18:19:25 - mmengine - INFO - Epoch(train) [28][ 200/1879]  base_lr: 2.5688e-06 lr: 2.5688e-06  eta: 4:49:18  time: 0.3327  data_time: 0.0261  memory: 8783  loss: 0.7653  sim_loss_v2t: 0.3839  sim_loss_t2v: 0.3814
2023/07/30 18:20:45 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 18:20:56 - mmengine - INFO - Epoch(train) [28][ 300/1879]  base_lr: 2.5595e-06 lr: 2.5595e-06  eta: 4:49:20  time: 0.3532  data_time: 0.0281  memory: 8783  loss: 0.7876  sim_loss_v2t: 0.3933  sim_loss_t2v: 0.3943
2023/07/30 18:21:37 - mmengine - INFO - Epoch(train) [28][ 400/1879]  base_lr: 2.5502e-06 lr: 2.5502e-06  eta: 4:48:40  time: 0.3789  data_time: 0.0239  memory: 8783  loss: 0.7905  sim_loss_v2t: 0.3884  sim_loss_t2v: 0.4020
2023/07/30 18:22:16 - mmengine - INFO - Epoch(train) [28][ 500/1879]  base_lr: 2.5409e-06 lr: 2.5409e-06  eta: 4:47:59  time: 0.3801  data_time: 0.0240  memory: 8783  loss: 0.7921  sim_loss_v2t: 0.3970  sim_loss_t2v: 0.3951
2023/07/30 18:23:04 - mmengine - INFO - Epoch(train) [28][ 600/1879]  base_lr: 2.5316e-06 lr: 2.5316e-06  eta: 4:47:24  time: 0.7648  data_time: 0.0209  memory: 8783  loss: 0.8024  sim_loss_v2t: 0.4021  sim_loss_t2v: 0.4004
2023/07/30 18:23:40 - mmengine - INFO - Epoch(train) [28][ 700/1879]  base_lr: 2.5223e-06 lr: 2.5223e-06  eta: 4:46:40  time: 0.3588  data_time: 0.0279  memory: 8783  loss: 0.7563  sim_loss_v2t: 0.3708  sim_loss_t2v: 0.3856
2023/07/30 18:24:24 - mmengine - INFO - Epoch(train) [28][ 800/1879]  base_lr: 2.5131e-06 lr: 2.5131e-06  eta: 4:46:02  time: 0.4831  data_time: 0.0232  memory: 8783  loss: 0.8006  sim_loss_v2t: 0.3991  sim_loss_t2v: 0.4014
2023/07/30 18:25:03 - mmengine - INFO - Epoch(train) [28][ 900/1879]  base_lr: 2.5038e-06 lr: 2.5038e-06  eta: 4:45:21  time: 0.3776  data_time: 0.0240  memory: 8783  loss: 0.8205  sim_loss_v2t: 0.4094  sim_loss_t2v: 0.4111
2023/07/30 18:25:42 - mmengine - INFO - Epoch(train) [28][1000/1879]  base_lr: 2.4945e-06 lr: 2.4945e-06  eta: 4:44:40  time: 0.3467  data_time: 0.0273  memory: 8783  loss: 0.7660  sim_loss_v2t: 0.3839  sim_loss_t2v: 0.3822
2023/07/30 18:26:23 - mmengine - INFO - Epoch(train) [28][1100/1879]  base_lr: 2.4852e-06 lr: 2.4852e-06  eta: 4:44:00  time: 0.4771  data_time: 0.0257  memory: 8783  loss: 0.7716  sim_loss_v2t: 0.3846  sim_loss_t2v: 0.3870
2023/07/30 18:27:02 - mmengine - INFO - Epoch(train) [28][1200/1879]  base_lr: 2.4759e-06 lr: 2.4759e-06  eta: 4:43:18  time: 0.3557  data_time: 0.0308  memory: 8783  loss: 0.7898  sim_loss_v2t: 0.3915  sim_loss_t2v: 0.3983
2023/07/30 18:27:29 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 18:27:42 - mmengine - INFO - Epoch(train) [28][1300/1879]  base_lr: 2.4666e-06 lr: 2.4666e-06  eta: 4:42:36  time: 0.3525  data_time: 0.0245  memory: 8783  loss: 0.7960  sim_loss_v2t: 0.4007  sim_loss_t2v: 0.3953
2023/07/30 18:28:25 - mmengine - INFO - Epoch(train) [28][1400/1879]  base_lr: 2.4573e-06 lr: 2.4573e-06  eta: 4:41:58  time: 0.5342  data_time: 0.0253  memory: 8783  loss: 0.7609  sim_loss_v2t: 0.3875  sim_loss_t2v: 0.3734
2023/07/30 18:29:06 - mmengine - INFO - Epoch(train) [28][1500/1879]  base_lr: 2.4480e-06 lr: 2.4480e-06  eta: 4:41:18  time: 0.4404  data_time: 0.0272  memory: 8783  loss: 0.7815  sim_loss_v2t: 0.3856  sim_loss_t2v: 0.3960
2023/07/30 18:29:46 - mmengine - INFO - Epoch(train) [28][1600/1879]  base_lr: 2.4387e-06 lr: 2.4387e-06  eta: 4:40:37  time: 0.4406  data_time: 0.0284  memory: 8783  loss: 0.7960  sim_loss_v2t: 0.3942  sim_loss_t2v: 0.4018
2023/07/30 18:30:24 - mmengine - INFO - Epoch(train) [28][1700/1879]  base_lr: 2.4295e-06 lr: 2.4295e-06  eta: 4:39:55  time: 0.3610  data_time: 0.0317  memory: 8783  loss: 0.8031  sim_loss_v2t: 0.3947  sim_loss_t2v: 0.4083
2023/07/30 18:31:06 - mmengine - INFO - Epoch(train) [28][1800/1879]  base_lr: 2.4202e-06 lr: 2.4202e-06  eta: 4:39:16  time: 0.3931  data_time: 0.0231  memory: 8783  loss: 0.8285  sim_loss_v2t: 0.4131  sim_loss_t2v: 0.4154
2023/07/30 18:31:32 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 18:31:32 - mmengine - INFO - Epoch(train) [28][1879/1879]  base_lr: 2.4128e-06 lr: 2.4128e-06  eta: 4:38:39  time: 0.2033  data_time: 0.0120  memory: 8783  loss: 0.7135  sim_loss_v2t: 0.3574  sim_loss_t2v: 0.3561
2023/07/30 18:31:32 - mmengine - INFO - Saving checkpoint at 28 epochs
2023/07/30 18:33:44 - mmengine - INFO - Epoch(val) [28][100/155]    eta: 0:01:04  time: 1.1488  data_time: 0.0437  memory: 18758  
2023/07/30 18:34:48 - mmengine - INFO - Epoch(val) [28][155/155]    acc/top1: 0.7663  acc/top5: 0.9328  acc/mean1: 0.7662  data_time: 0.0503  time: 1.1559
2023/07/30 18:34:48 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_26.pth is removed
2023/07/30 18:34:56 - mmengine - INFO - The best checkpoint with 0.7663 acc/top1 at 28 epoch is saved to best_acc_top1_epoch_28.pth.
2023/07/30 18:35:48 - mmengine - INFO - Epoch(train) [29][ 100/1879]  base_lr: 2.4036e-06 lr: 2.4036e-06  eta: 4:37:58  time: 0.4372  data_time: 0.1989  memory: 18758  loss: 0.7976  sim_loss_v2t: 0.3996  sim_loss_t2v: 0.3980
2023/07/30 18:36:29 - mmengine - INFO - Epoch(train) [29][ 200/1879]  base_lr: 2.3943e-06 lr: 2.3943e-06  eta: 4:37:17  time: 0.4500  data_time: 0.2074  memory: 8783  loss: 0.7806  sim_loss_v2t: 0.3884  sim_loss_t2v: 0.3922
2023/07/30 18:37:10 - mmengine - INFO - Epoch(train) [29][ 300/1879]  base_lr: 2.3850e-06 lr: 2.3850e-06  eta: 4:36:38  time: 0.3634  data_time: 0.0203  memory: 8783  loss: 0.7887  sim_loss_v2t: 0.3905  sim_loss_t2v: 0.3982
2023/07/30 18:37:46 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 18:37:50 - mmengine - INFO - Epoch(train) [29][ 400/1879]  base_lr: 2.3757e-06 lr: 2.3757e-06  eta: 4:35:57  time: 0.3929  data_time: 0.0240  memory: 8783  loss: 0.7899  sim_loss_v2t: 0.3954  sim_loss_t2v: 0.3944
2023/07/30 18:38:32 - mmengine - INFO - Epoch(train) [29][ 500/1879]  base_lr: 2.3664e-06 lr: 2.3664e-06  eta: 4:35:18  time: 0.5076  data_time: 0.0217  memory: 8783  loss: 0.7771  sim_loss_v2t: 0.3902  sim_loss_t2v: 0.3869
2023/07/30 18:39:15 - mmengine - INFO - Epoch(train) [29][ 600/1879]  base_lr: 2.3572e-06 lr: 2.3572e-06  eta: 4:34:39  time: 0.3870  data_time: 0.1478  memory: 8783  loss: 0.7390  sim_loss_v2t: 0.3709  sim_loss_t2v: 0.3681
2023/07/30 18:39:57 - mmengine - INFO - Epoch(train) [29][ 700/1879]  base_lr: 2.3479e-06 lr: 2.3479e-06  eta: 4:34:00  time: 0.4808  data_time: 0.1094  memory: 8783  loss: 0.7548  sim_loss_v2t: 0.3722  sim_loss_t2v: 0.3826
2023/07/30 18:40:38 - mmengine - INFO - Epoch(train) [29][ 800/1879]  base_lr: 2.3386e-06 lr: 2.3386e-06  eta: 4:33:19  time: 0.3819  data_time: 0.0206  memory: 8783  loss: 0.7757  sim_loss_v2t: 0.3936  sim_loss_t2v: 0.3822
2023/07/30 18:41:35 - mmengine - INFO - Epoch(train) [29][ 900/1879]  base_lr: 2.3294e-06 lr: 2.3294e-06  eta: 4:32:52  time: 0.5166  data_time: 0.0215  memory: 8783  loss: 0.7768  sim_loss_v2t: 0.3885  sim_loss_t2v: 0.3883
2023/07/30 18:42:15 - mmengine - INFO - Epoch(train) [29][1000/1879]  base_lr: 2.3201e-06 lr: 2.3201e-06  eta: 4:32:11  time: 0.4155  data_time: 0.0233  memory: 8783  loss: 0.7917  sim_loss_v2t: 0.3945  sim_loss_t2v: 0.3971
2023/07/30 18:42:56 - mmengine - INFO - Epoch(train) [29][1100/1879]  base_lr: 2.3108e-06 lr: 2.3108e-06  eta: 4:31:31  time: 0.4508  data_time: 0.0279  memory: 8783  loss: 0.7360  sim_loss_v2t: 0.3642  sim_loss_t2v: 0.3718
2023/07/30 18:43:37 - mmengine - INFO - Epoch(train) [29][1200/1879]  base_lr: 2.3016e-06 lr: 2.3016e-06  eta: 4:30:50  time: 0.4327  data_time: 0.0234  memory: 8783  loss: 0.7504  sim_loss_v2t: 0.3767  sim_loss_t2v: 0.3737
2023/07/30 18:44:32 - mmengine - INFO - Epoch(train) [29][1300/1879]  base_lr: 2.2923e-06 lr: 2.2923e-06  eta: 4:30:20  time: 0.3227  data_time: 0.0245  memory: 8783  loss: 0.7921  sim_loss_v2t: 0.3972  sim_loss_t2v: 0.3949
2023/07/30 18:45:07 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 18:45:12 - mmengine - INFO - Epoch(train) [29][1400/1879]  base_lr: 2.2831e-06 lr: 2.2831e-06  eta: 4:29:40  time: 0.4346  data_time: 0.0310  memory: 8783  loss: 0.7875  sim_loss_v2t: 0.3954  sim_loss_t2v: 0.3921
2023/07/30 18:45:57 - mmengine - INFO - Epoch(train) [29][1500/1879]  base_lr: 2.2738e-06 lr: 2.2738e-06  eta: 4:29:02  time: 0.4581  data_time: 0.0950  memory: 8783  loss: 0.7752  sim_loss_v2t: 0.3825  sim_loss_t2v: 0.3928
2023/07/30 18:46:33 - mmengine - INFO - Epoch(train) [29][1600/1879]  base_lr: 2.2646e-06 lr: 2.2646e-06  eta: 4:28:19  time: 0.3130  data_time: 0.0292  memory: 8783  loss: 0.7818  sim_loss_v2t: 0.3945  sim_loss_t2v: 0.3873
2023/07/30 18:47:15 - mmengine - INFO - Epoch(train) [29][1700/1879]  base_lr: 2.2553e-06 lr: 2.2553e-06  eta: 4:27:39  time: 0.3946  data_time: 0.0262  memory: 8783  loss: 0.7830  sim_loss_v2t: 0.3941  sim_loss_t2v: 0.3889
2023/07/30 18:47:54 - mmengine - INFO - Epoch(train) [29][1800/1879]  base_lr: 2.2461e-06 lr: 2.2461e-06  eta: 4:26:58  time: 0.3535  data_time: 0.0337  memory: 8783  loss: 0.7600  sim_loss_v2t: 0.3784  sim_loss_t2v: 0.3816
2023/07/30 18:48:25 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 18:48:25 - mmengine - INFO - Epoch(train) [29][1879/1879]  base_lr: 2.2388e-06 lr: 2.2388e-06  eta: 4:26:25  time: 0.4297  data_time: 0.0133  memory: 8783  loss: 0.7509  sim_loss_v2t: 0.3716  sim_loss_t2v: 0.3793
2023/07/30 18:48:25 - mmengine - INFO - Saving checkpoint at 29 epochs
2023/07/30 18:50:42 - mmengine - INFO - Epoch(val) [29][100/155]    eta: 0:01:06  time: 1.1557  data_time: 0.0510  memory: 18758  
2023/07/30 18:51:45 - mmengine - INFO - Epoch(val) [29][155/155]    acc/top1: 0.7644  acc/top5: 0.9303  acc/mean1: 0.7643  data_time: 0.0775  time: 1.1819
2023/07/30 18:52:33 - mmengine - INFO - Epoch(train) [30][ 100/1879]  base_lr: 2.2295e-06 lr: 2.2295e-06  eta: 4:25:49  time: 0.4159  data_time: 0.0286  memory: 18758  loss: 0.7681  sim_loss_v2t: 0.3806  sim_loss_t2v: 0.3875
2023/07/30 18:53:15 - mmengine - INFO - Epoch(train) [30][ 200/1879]  base_lr: 2.2203e-06 lr: 2.2203e-06  eta: 4:25:10  time: 0.4884  data_time: 0.0256  memory: 8783  loss: 0.7450  sim_loss_v2t: 0.3697  sim_loss_t2v: 0.3753
2023/07/30 18:53:53 - mmengine - INFO - Epoch(train) [30][ 300/1879]  base_lr: 2.2111e-06 lr: 2.2111e-06  eta: 4:24:28  time: 0.3926  data_time: 0.0270  memory: 8783  loss: 0.7446  sim_loss_v2t: 0.3693  sim_loss_t2v: 0.3754
2023/07/30 18:54:34 - mmengine - INFO - Epoch(train) [30][ 400/1879]  base_lr: 2.2019e-06 lr: 2.2019e-06  eta: 4:23:47  time: 0.4580  data_time: 0.2102  memory: 8783  loss: 0.7522  sim_loss_v2t: 0.3781  sim_loss_t2v: 0.3741
2023/07/30 18:55:13 - mmengine - INFO - Epoch(train) [30][ 500/1879]  base_lr: 2.1926e-06 lr: 2.1926e-06  eta: 4:23:05  time: 0.3373  data_time: 0.0455  memory: 8783  loss: 0.7613  sim_loss_v2t: 0.3806  sim_loss_t2v: 0.3807
2023/07/30 18:55:17 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 18:55:55 - mmengine - INFO - Epoch(train) [30][ 600/1879]  base_lr: 2.1834e-06 lr: 2.1834e-06  eta: 4:22:26  time: 0.4049  data_time: 0.1817  memory: 8783  loss: 0.7687  sim_loss_v2t: 0.3852  sim_loss_t2v: 0.3835
2023/07/30 18:56:34 - mmengine - INFO - Epoch(train) [30][ 700/1879]  base_lr: 2.1742e-06 lr: 2.1742e-06  eta: 4:21:44  time: 0.3899  data_time: 0.1352  memory: 8783  loss: 0.7585  sim_loss_v2t: 0.3784  sim_loss_t2v: 0.3801
2023/07/30 18:57:15 - mmengine - INFO - Epoch(train) [30][ 800/1879]  base_lr: 2.1650e-06 lr: 2.1650e-06  eta: 4:21:04  time: 0.4762  data_time: 0.0424  memory: 8783  loss: 0.7917  sim_loss_v2t: 0.3904  sim_loss_t2v: 0.4013
2023/07/30 18:57:53 - mmengine - INFO - Epoch(train) [30][ 900/1879]  base_lr: 2.1558e-06 lr: 2.1558e-06  eta: 4:20:22  time: 0.3576  data_time: 0.0690  memory: 8783  loss: 0.8107  sim_loss_v2t: 0.4051  sim_loss_t2v: 0.4056
2023/07/30 18:58:34 - mmengine - INFO - Epoch(train) [30][1000/1879]  base_lr: 2.1466e-06 lr: 2.1466e-06  eta: 4:19:42  time: 0.4285  data_time: 0.0283  memory: 8783  loss: 0.7747  sim_loss_v2t: 0.3899  sim_loss_t2v: 0.3848
2023/07/30 18:59:14 - mmengine - INFO - Epoch(train) [30][1100/1879]  base_lr: 2.1374e-06 lr: 2.1374e-06  eta: 4:19:01  time: 0.3622  data_time: 0.0890  memory: 8783  loss: 0.7717  sim_loss_v2t: 0.3817  sim_loss_t2v: 0.3900
2023/07/30 18:59:55 - mmengine - INFO - Epoch(train) [30][1200/1879]  base_lr: 2.1282e-06 lr: 2.1282e-06  eta: 4:18:21  time: 0.4782  data_time: 0.0230  memory: 8783  loss: 0.8240  sim_loss_v2t: 0.4067  sim_loss_t2v: 0.4172
2023/07/30 19:00:34 - mmengine - INFO - Epoch(train) [30][1300/1879]  base_lr: 2.1190e-06 lr: 2.1190e-06  eta: 4:17:39  time: 0.3430  data_time: 0.0256  memory: 8783  loss: 0.7499  sim_loss_v2t: 0.3765  sim_loss_t2v: 0.3735
2023/07/30 19:01:14 - mmengine - INFO - Epoch(train) [30][1400/1879]  base_lr: 2.1099e-06 lr: 2.1099e-06  eta: 4:16:58  time: 0.3152  data_time: 0.0246  memory: 8783  loss: 0.7611  sim_loss_v2t: 0.3810  sim_loss_t2v: 0.3801
2023/07/30 19:01:52 - mmengine - INFO - Epoch(train) [30][1500/1879]  base_lr: 2.1007e-06 lr: 2.1007e-06  eta: 4:16:16  time: 0.3371  data_time: 0.0245  memory: 8783  loss: 0.7853  sim_loss_v2t: 0.3908  sim_loss_t2v: 0.3945
2023/07/30 19:01:57 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 19:02:33 - mmengine - INFO - Epoch(train) [30][1600/1879]  base_lr: 2.0915e-06 lr: 2.0915e-06  eta: 4:15:36  time: 0.4419  data_time: 0.1034  memory: 8783  loss: 0.7735  sim_loss_v2t: 0.3848  sim_loss_t2v: 0.3887
2023/07/30 19:03:14 - mmengine - INFO - Epoch(train) [30][1700/1879]  base_lr: 2.0824e-06 lr: 2.0824e-06  eta: 4:14:55  time: 0.4014  data_time: 0.0300  memory: 8783  loss: 0.7791  sim_loss_v2t: 0.3857  sim_loss_t2v: 0.3935
2023/07/30 19:03:53 - mmengine - INFO - Epoch(train) [30][1800/1879]  base_lr: 2.0732e-06 lr: 2.0732e-06  eta: 4:14:14  time: 0.4079  data_time: 0.0235  memory: 8783  loss: 0.7273  sim_loss_v2t: 0.3596  sim_loss_t2v: 0.3677
2023/07/30 19:04:20 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 19:04:20 - mmengine - INFO - Epoch(train) [30][1879/1879]  base_lr: 2.0660e-06 lr: 2.0660e-06  eta: 4:13:39  time: 0.1951  data_time: 0.0122  memory: 8783  loss: 0.7106  sim_loss_v2t: 0.3532  sim_loss_t2v: 0.3574
2023/07/30 19:04:20 - mmengine - INFO - Saving checkpoint at 30 epochs
2023/07/30 19:06:34 - mmengine - INFO - Epoch(val) [30][100/155]    eta: 0:01:04  time: 1.1464  data_time: 0.0407  memory: 18758  
2023/07/30 19:07:37 - mmengine - INFO - Epoch(val) [30][155/155]    acc/top1: 0.7674  acc/top5: 0.9329  acc/mean1: 0.7673  data_time: 0.0511  time: 1.1561
2023/07/30 19:07:37 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_28.pth is removed
2023/07/30 19:07:44 - mmengine - INFO - The best checkpoint with 0.7674 acc/top1 at 30 epoch is saved to best_acc_top1_epoch_30.pth.
2023/07/30 19:08:39 - mmengine - INFO - Epoch(train) [31][ 100/1879]  base_lr: 2.0568e-06 lr: 2.0568e-06  eta: 4:12:59  time: 0.5101  data_time: 0.2807  memory: 18758  loss: 0.7505  sim_loss_v2t: 0.3726  sim_loss_t2v: 0.3779
2023/07/30 19:09:18 - mmengine - INFO - Epoch(train) [31][ 200/1879]  base_lr: 2.0477e-06 lr: 2.0477e-06  eta: 4:12:17  time: 0.3965  data_time: 0.1552  memory: 8783  loss: 0.7078  sim_loss_v2t: 0.3513  sim_loss_t2v: 0.3565
2023/07/30 19:10:04 - mmengine - INFO - Epoch(train) [31][ 300/1879]  base_lr: 2.0386e-06 lr: 2.0386e-06  eta: 4:11:41  time: 0.2582  data_time: 0.0209  memory: 8783  loss: 0.7566  sim_loss_v2t: 0.3800  sim_loss_t2v: 0.3767
2023/07/30 19:10:42 - mmengine - INFO - Epoch(train) [31][ 400/1879]  base_lr: 2.0294e-06 lr: 2.0294e-06  eta: 4:10:58  time: 0.4277  data_time: 0.0323  memory: 8783  loss: 0.7604  sim_loss_v2t: 0.3811  sim_loss_t2v: 0.3792
2023/07/30 19:11:24 - mmengine - INFO - Epoch(train) [31][ 500/1879]  base_lr: 2.0203e-06 lr: 2.0203e-06  eta: 4:10:18  time: 0.3618  data_time: 0.0288  memory: 8783  loss: 0.7668  sim_loss_v2t: 0.3780  sim_loss_t2v: 0.3888
2023/07/30 19:12:05 - mmengine - INFO - Epoch(train) [31][ 600/1879]  base_lr: 2.0112e-06 lr: 2.0112e-06  eta: 4:09:38  time: 0.3763  data_time: 0.0274  memory: 8783  loss: 0.7672  sim_loss_v2t: 0.3845  sim_loss_t2v: 0.3826
2023/07/30 19:12:16 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 19:12:51 - mmengine - INFO - Epoch(train) [31][ 700/1879]  base_lr: 2.0021e-06 lr: 2.0021e-06  eta: 4:09:02  time: 0.3643  data_time: 0.0320  memory: 8783  loss: 0.7890  sim_loss_v2t: 0.3945  sim_loss_t2v: 0.3944
2023/07/30 19:13:33 - mmengine - INFO - Epoch(train) [31][ 800/1879]  base_lr: 1.9930e-06 lr: 1.9930e-06  eta: 4:08:22  time: 0.3823  data_time: 0.0270  memory: 8783  loss: 0.7680  sim_loss_v2t: 0.3786  sim_loss_t2v: 0.3894
2023/07/30 19:14:12 - mmengine - INFO - Epoch(train) [31][ 900/1879]  base_lr: 1.9839e-06 lr: 1.9839e-06  eta: 4:07:41  time: 0.4130  data_time: 0.0277  memory: 8783  loss: 0.7285  sim_loss_v2t: 0.3593  sim_loss_t2v: 0.3692
2023/07/30 19:14:51 - mmengine - INFO - Epoch(train) [31][1000/1879]  base_lr: 1.9748e-06 lr: 1.9748e-06  eta: 4:06:59  time: 0.3936  data_time: 0.0342  memory: 8783  loss: 0.7664  sim_loss_v2t: 0.3767  sim_loss_t2v: 0.3898
2023/07/30 19:15:32 - mmengine - INFO - Epoch(train) [31][1100/1879]  base_lr: 1.9657e-06 lr: 1.9657e-06  eta: 4:06:19  time: 0.4039  data_time: 0.0317  memory: 8783  loss: 0.7469  sim_loss_v2t: 0.3721  sim_loss_t2v: 0.3748
2023/07/30 19:16:13 - mmengine - INFO - Epoch(train) [31][1200/1879]  base_lr: 1.9567e-06 lr: 1.9567e-06  eta: 4:05:39  time: 0.3617  data_time: 0.0278  memory: 8783  loss: 0.7283  sim_loss_v2t: 0.3616  sim_loss_t2v: 0.3668
2023/07/30 19:16:53 - mmengine - INFO - Epoch(train) [31][1300/1879]  base_lr: 1.9476e-06 lr: 1.9476e-06  eta: 4:04:57  time: 0.3915  data_time: 0.0290  memory: 8783  loss: 0.7352  sim_loss_v2t: 0.3701  sim_loss_t2v: 0.3651
2023/07/30 19:17:34 - mmengine - INFO - Epoch(train) [31][1400/1879]  base_lr: 1.9386e-06 lr: 1.9386e-06  eta: 4:04:17  time: 0.4246  data_time: 0.0253  memory: 8783  loss: 0.7508  sim_loss_v2t: 0.3777  sim_loss_t2v: 0.3732
2023/07/30 19:18:12 - mmengine - INFO - Epoch(train) [31][1500/1879]  base_lr: 1.9295e-06 lr: 1.9295e-06  eta: 4:03:35  time: 0.3516  data_time: 0.0261  memory: 8783  loss: 0.7487  sim_loss_v2t: 0.3710  sim_loss_t2v: 0.3777
2023/07/30 19:18:51 - mmengine - INFO - Epoch(train) [31][1600/1879]  base_lr: 1.9205e-06 lr: 1.9205e-06  eta: 4:02:54  time: 0.4192  data_time: 0.0288  memory: 8783  loss: 0.7900  sim_loss_v2t: 0.3934  sim_loss_t2v: 0.3966
2023/07/30 19:19:02 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 19:19:32 - mmengine - INFO - Epoch(train) [31][1700/1879]  base_lr: 1.9114e-06 lr: 1.9114e-06  eta: 4:02:13  time: 0.4624  data_time: 0.0279  memory: 8783  loss: 0.7943  sim_loss_v2t: 0.3945  sim_loss_t2v: 0.3998
2023/07/30 19:20:12 - mmengine - INFO - Epoch(train) [31][1800/1879]  base_lr: 1.9024e-06 lr: 1.9024e-06  eta: 4:01:33  time: 0.3643  data_time: 0.0227  memory: 8783  loss: 0.7291  sim_loss_v2t: 0.3649  sim_loss_t2v: 0.3642
2023/07/30 19:20:39 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 19:20:39 - mmengine - INFO - Epoch(train) [31][1879/1879]  base_lr: 1.8953e-06 lr: 1.8953e-06  eta: 4:00:58  time: 0.1839  data_time: 0.0103  memory: 8783  loss: 0.7284  sim_loss_v2t: 0.3633  sim_loss_t2v: 0.3651
2023/07/30 19:20:39 - mmengine - INFO - Saving checkpoint at 31 epochs
2023/07/30 19:22:51 - mmengine - INFO - Epoch(val) [31][100/155]    eta: 0:01:04  time: 1.1520  data_time: 0.0473  memory: 18758  
2023/07/30 19:23:55 - mmengine - INFO - Epoch(val) [31][155/155]    acc/top1: 0.7682  acc/top5: 0.9332  acc/mean1: 0.7681  data_time: 0.0509  time: 1.1558
2023/07/30 19:23:55 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_30.pth is removed
2023/07/30 19:24:02 - mmengine - INFO - The best checkpoint with 0.7682 acc/top1 at 31 epoch is saved to best_acc_top1_epoch_31.pth.
2023/07/30 19:24:56 - mmengine - INFO - Epoch(train) [32][ 100/1879]  base_lr: 1.8863e-06 lr: 1.8863e-06  eta: 4:00:17  time: 0.3344  data_time: 0.0807  memory: 18758  loss: 0.7254  sim_loss_v2t: 0.3524  sim_loss_t2v: 0.3730
2023/07/30 19:25:37 - mmengine - INFO - Epoch(train) [32][ 200/1879]  base_lr: 1.8773e-06 lr: 1.8773e-06  eta: 3:59:37  time: 0.4658  data_time: 0.1328  memory: 8783  loss: 0.7301  sim_loss_v2t: 0.3608  sim_loss_t2v: 0.3693
2023/07/30 19:26:17 - mmengine - INFO - Epoch(train) [32][ 300/1879]  base_lr: 1.8683e-06 lr: 1.8683e-06  eta: 3:58:56  time: 0.4011  data_time: 0.0246  memory: 8783  loss: 0.7444  sim_loss_v2t: 0.3723  sim_loss_t2v: 0.3721
2023/07/30 19:26:57 - mmengine - INFO - Epoch(train) [32][ 400/1879]  base_lr: 1.8593e-06 lr: 1.8593e-06  eta: 3:58:16  time: 0.4706  data_time: 0.0257  memory: 8783  loss: 0.7438  sim_loss_v2t: 0.3718  sim_loss_t2v: 0.3721
2023/07/30 19:27:38 - mmengine - INFO - Epoch(train) [32][ 500/1879]  base_lr: 1.8503e-06 lr: 1.8503e-06  eta: 3:57:35  time: 0.3886  data_time: 0.0223  memory: 8783  loss: 0.7566  sim_loss_v2t: 0.3743  sim_loss_t2v: 0.3822
2023/07/30 19:28:18 - mmengine - INFO - Epoch(train) [32][ 600/1879]  base_lr: 1.8414e-06 lr: 1.8414e-06  eta: 3:56:54  time: 0.4178  data_time: 0.0255  memory: 8783  loss: 0.7047  sim_loss_v2t: 0.3522  sim_loss_t2v: 0.3524
2023/07/30 19:28:59 - mmengine - INFO - Epoch(train) [32][ 700/1879]  base_lr: 1.8324e-06 lr: 1.8324e-06  eta: 3:56:14  time: 0.3926  data_time: 0.0347  memory: 8783  loss: 0.7567  sim_loss_v2t: 0.3731  sim_loss_t2v: 0.3836
2023/07/30 19:29:19 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 19:29:38 - mmengine - INFO - Epoch(train) [32][ 800/1879]  base_lr: 1.8235e-06 lr: 1.8235e-06  eta: 3:55:33  time: 0.4107  data_time: 0.0271  memory: 8783  loss: 0.6870  sim_loss_v2t: 0.3462  sim_loss_t2v: 0.3408
2023/07/30 19:30:19 - mmengine - INFO - Epoch(train) [32][ 900/1879]  base_lr: 1.8145e-06 lr: 1.8145e-06  eta: 3:54:52  time: 0.3906  data_time: 0.0526  memory: 8783  loss: 0.7281  sim_loss_v2t: 0.3592  sim_loss_t2v: 0.3689
2023/07/30 19:30:57 - mmengine - INFO - Epoch(train) [32][1000/1879]  base_lr: 1.8056e-06 lr: 1.8056e-06  eta: 3:54:11  time: 0.3927  data_time: 0.0351  memory: 8783  loss: 0.7697  sim_loss_v2t: 0.3812  sim_loss_t2v: 0.3885
2023/07/30 19:31:39 - mmengine - INFO - Epoch(train) [32][1100/1879]  base_lr: 1.7967e-06 lr: 1.7967e-06  eta: 3:53:31  time: 0.4860  data_time: 0.2339  memory: 8783  loss: 0.7382  sim_loss_v2t: 0.3684  sim_loss_t2v: 0.3698
2023/07/30 19:32:20 - mmengine - INFO - Epoch(train) [32][1200/1879]  base_lr: 1.7878e-06 lr: 1.7878e-06  eta: 3:52:50  time: 0.4983  data_time: 0.0394  memory: 8783  loss: 0.7796  sim_loss_v2t: 0.3839  sim_loss_t2v: 0.3957
2023/07/30 19:32:58 - mmengine - INFO - Epoch(train) [32][1300/1879]  base_lr: 1.7789e-06 lr: 1.7789e-06  eta: 3:52:09  time: 0.3641  data_time: 0.1134  memory: 8783  loss: 0.7366  sim_loss_v2t: 0.3676  sim_loss_t2v: 0.3690
2023/07/30 19:33:38 - mmengine - INFO - Epoch(train) [32][1400/1879]  base_lr: 1.7700e-06 lr: 1.7700e-06  eta: 3:51:28  time: 0.3828  data_time: 0.0263  memory: 8783  loss: 0.7629  sim_loss_v2t: 0.3778  sim_loss_t2v: 0.3851
2023/07/30 19:34:39 - mmengine - INFO - Epoch(train) [32][1500/1879]  base_lr: 1.7611e-06 lr: 1.7611e-06  eta: 3:50:59  time: 0.5485  data_time: 0.0352  memory: 8783  loss: 0.7557  sim_loss_v2t: 0.3750  sim_loss_t2v: 0.3807
2023/07/30 19:35:39 - mmengine - INFO - Epoch(train) [32][1600/1879]  base_lr: 1.7522e-06 lr: 1.7522e-06  eta: 3:50:30  time: 0.7182  data_time: 0.0320  memory: 8783  loss: 0.7421  sim_loss_v2t: 0.3685  sim_loss_t2v: 0.3735
2023/07/30 19:36:38 - mmengine - INFO - Epoch(train) [32][1700/1879]  base_lr: 1.7434e-06 lr: 1.7434e-06  eta: 3:49:59  time: 0.5797  data_time: 0.0302  memory: 8783  loss: 0.7161  sim_loss_v2t: 0.3522  sim_loss_t2v: 0.3639
2023/07/30 19:37:06 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 19:37:36 - mmengine - INFO - Epoch(train) [32][1800/1879]  base_lr: 1.7345e-06 lr: 1.7345e-06  eta: 3:49:29  time: 0.6619  data_time: 0.0355  memory: 8783  loss: 0.7680  sim_loss_v2t: 0.3826  sim_loss_t2v: 0.3854
2023/07/30 19:38:13 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 19:38:13 - mmengine - INFO - Epoch(train) [32][1879/1879]  base_lr: 1.7275e-06 lr: 1.7275e-06  eta: 3:49:00  time: 0.2946  data_time: 0.0190  memory: 8783  loss: 0.7182  sim_loss_v2t: 0.3564  sim_loss_t2v: 0.3619
2023/07/30 19:38:13 - mmengine - INFO - Saving checkpoint at 32 epochs
2023/07/30 19:40:43 - mmengine - INFO - Epoch(val) [32][100/155]    eta: 0:01:07  time: 1.1890  data_time: 0.0780  memory: 18758  
2023/07/30 19:41:48 - mmengine - INFO - Epoch(val) [32][155/155]    acc/top1: 0.7677  acc/top5: 0.9341  acc/mean1: 0.7677  data_time: 0.0857  time: 1.1961
2023/07/30 19:42:59 - mmengine - INFO - Epoch(train) [33][ 100/1879]  base_lr: 1.7187e-06 lr: 1.7187e-06  eta: 3:48:36  time: 0.8417  data_time: 0.0460  memory: 18758  loss: 0.7081  sim_loss_v2t: 0.3511  sim_loss_t2v: 0.3570
2023/07/30 19:43:59 - mmengine - INFO - Epoch(train) [33][ 200/1879]  base_lr: 1.7099e-06 lr: 1.7099e-06  eta: 3:48:06  time: 0.5749  data_time: 0.0437  memory: 8783  loss: 0.7015  sim_loss_v2t: 0.3497  sim_loss_t2v: 0.3518
2023/07/30 19:44:57 - mmengine - INFO - Epoch(train) [33][ 300/1879]  base_lr: 1.7011e-06 lr: 1.7011e-06  eta: 3:47:35  time: 0.5706  data_time: 0.0374  memory: 8783  loss: 0.7187  sim_loss_v2t: 0.3576  sim_loss_t2v: 0.3611
2023/07/30 19:45:52 - mmengine - INFO - Epoch(train) [33][ 400/1879]  base_lr: 1.6923e-06 lr: 1.6923e-06  eta: 3:47:02  time: 0.5138  data_time: 0.0315  memory: 8783  loss: 0.7462  sim_loss_v2t: 0.3689  sim_loss_t2v: 0.3773
2023/07/30 19:46:53 - mmengine - INFO - Epoch(train) [33][ 500/1879]  base_lr: 1.6835e-06 lr: 1.6835e-06  eta: 3:46:32  time: 0.6088  data_time: 0.0407  memory: 8783  loss: 0.7528  sim_loss_v2t: 0.3735  sim_loss_t2v: 0.3792
2023/07/30 19:47:51 - mmengine - INFO - Epoch(train) [33][ 600/1879]  base_lr: 1.6747e-06 lr: 1.6747e-06  eta: 3:46:01  time: 0.6146  data_time: 0.1282  memory: 8783  loss: 0.7074  sim_loss_v2t: 0.3538  sim_loss_t2v: 0.3537
2023/07/30 19:48:52 - mmengine - INFO - Epoch(train) [33][ 700/1879]  base_lr: 1.6660e-06 lr: 1.6660e-06  eta: 3:45:31  time: 0.6825  data_time: 0.2502  memory: 8783  loss: 0.7350  sim_loss_v2t: 0.3680  sim_loss_t2v: 0.3670
2023/07/30 19:49:52 - mmengine - INFO - Epoch(train) [33][ 800/1879]  base_lr: 1.6572e-06 lr: 1.6572e-06  eta: 3:45:01  time: 0.5241  data_time: 0.1606  memory: 8783  loss: 0.7283  sim_loss_v2t: 0.3593  sim_loss_t2v: 0.3690
2023/07/30 19:50:32 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 19:50:48 - mmengine - INFO - Epoch(train) [33][ 900/1879]  base_lr: 1.6485e-06 lr: 1.6485e-06  eta: 3:44:28  time: 0.4871  data_time: 0.0425  memory: 8783  loss: 0.7107  sim_loss_v2t: 0.3526  sim_loss_t2v: 0.3581
2023/07/30 19:51:48 - mmengine - INFO - Epoch(train) [33][1000/1879]  base_lr: 1.6398e-06 lr: 1.6398e-06  eta: 3:43:57  time: 0.5653  data_time: 0.1366  memory: 8783  loss: 0.7278  sim_loss_v2t: 0.3638  sim_loss_t2v: 0.3640
2023/07/30 19:52:50 - mmengine - INFO - Epoch(train) [33][1100/1879]  base_lr: 1.6310e-06 lr: 1.6310e-06  eta: 3:43:28  time: 0.6166  data_time: 0.0479  memory: 8783  loss: 0.7096  sim_loss_v2t: 0.3525  sim_loss_t2v: 0.3572
2023/07/30 19:53:45 - mmengine - INFO - Epoch(train) [33][1200/1879]  base_lr: 1.6223e-06 lr: 1.6223e-06  eta: 3:42:54  time: 0.4134  data_time: 0.0258  memory: 8783  loss: 0.7551  sim_loss_v2t: 0.3773  sim_loss_t2v: 0.3779
2023/07/30 19:54:45 - mmengine - INFO - Epoch(train) [33][1300/1879]  base_lr: 1.6136e-06 lr: 1.6136e-06  eta: 3:42:23  time: 0.6592  data_time: 0.0352  memory: 8783  loss: 0.7606  sim_loss_v2t: 0.3813  sim_loss_t2v: 0.3793
2023/07/30 19:55:43 - mmengine - INFO - Epoch(train) [33][1400/1879]  base_lr: 1.6050e-06 lr: 1.6050e-06  eta: 3:41:51  time: 0.5350  data_time: 0.0645  memory: 8783  loss: 0.7397  sim_loss_v2t: 0.3718  sim_loss_t2v: 0.3678
2023/07/30 19:56:44 - mmengine - INFO - Epoch(train) [33][1500/1879]  base_lr: 1.5963e-06 lr: 1.5963e-06  eta: 3:41:20  time: 0.5936  data_time: 0.0606  memory: 8783  loss: 0.7183  sim_loss_v2t: 0.3543  sim_loss_t2v: 0.3640
2023/07/30 19:57:43 - mmengine - INFO - Epoch(train) [33][1600/1879]  base_lr: 1.5876e-06 lr: 1.5876e-06  eta: 3:40:48  time: 0.5992  data_time: 0.0313  memory: 8783  loss: 0.7257  sim_loss_v2t: 0.3591  sim_loss_t2v: 0.3666
2023/07/30 19:58:41 - mmengine - INFO - Epoch(train) [33][1700/1879]  base_lr: 1.5790e-06 lr: 1.5790e-06  eta: 3:40:16  time: 0.6286  data_time: 0.0303  memory: 8783  loss: 0.7215  sim_loss_v2t: 0.3564  sim_loss_t2v: 0.3651
2023/07/30 19:59:39 - mmengine - INFO - Epoch(train) [33][1800/1879]  base_lr: 1.5704e-06 lr: 1.5704e-06  eta: 3:39:44  time: 0.5534  data_time: 0.0370  memory: 8783  loss: 0.7552  sim_loss_v2t: 0.3788  sim_loss_t2v: 0.3764
2023/07/30 20:00:18 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 20:00:19 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 20:00:19 - mmengine - INFO - Epoch(train) [33][1879/1879]  base_lr: 1.5636e-06 lr: 1.5636e-06  eta: 3:39:15  time: 0.2096  data_time: 0.0160  memory: 8783  loss: 0.7625  sim_loss_v2t: 0.3777  sim_loss_t2v: 0.3848
2023/07/30 20:00:19 - mmengine - INFO - Saving checkpoint at 33 epochs
2023/07/30 20:02:46 - mmengine - INFO - Epoch(val) [33][100/155]    eta: 0:01:08  time: 1.2115  data_time: 0.0828  memory: 18758  
2023/07/30 20:03:50 - mmengine - INFO - Epoch(val) [33][155/155]    acc/top1: 0.7669  acc/top5: 0.9315  acc/mean1: 0.7668  data_time: 0.0935  time: 1.2085
2023/07/30 20:05:02 - mmengine - INFO - Epoch(train) [34][ 100/1879]  base_lr: 1.5550e-06 lr: 1.5550e-06  eta: 3:38:50  time: 0.7738  data_time: 0.4432  memory: 18758  loss: 0.7237  sim_loss_v2t: 0.3595  sim_loss_t2v: 0.3642
2023/07/30 20:06:00 - mmengine - INFO - Epoch(train) [34][ 200/1879]  base_lr: 1.5464e-06 lr: 1.5464e-06  eta: 3:38:17  time: 0.5376  data_time: 0.2110  memory: 8783  loss: 0.7262  sim_loss_v2t: 0.3615  sim_loss_t2v: 0.3647
2023/07/30 20:06:58 - mmengine - INFO - Epoch(train) [34][ 300/1879]  base_lr: 1.5378e-06 lr: 1.5378e-06  eta: 3:37:44  time: 0.5485  data_time: 0.0680  memory: 8783  loss: 0.7470  sim_loss_v2t: 0.3736  sim_loss_t2v: 0.3734
2023/07/30 20:07:55 - mmengine - INFO - Epoch(train) [34][ 400/1879]  base_lr: 1.5292e-06 lr: 1.5292e-06  eta: 3:37:11  time: 0.5786  data_time: 0.1304  memory: 8783  loss: 0.6872  sim_loss_v2t: 0.3408  sim_loss_t2v: 0.3463
2023/07/30 20:08:59 - mmengine - INFO - Epoch(train) [34][ 500/1879]  base_lr: 1.5207e-06 lr: 1.5207e-06  eta: 3:36:41  time: 0.7107  data_time: 0.3884  memory: 8783  loss: 0.7354  sim_loss_v2t: 0.3633  sim_loss_t2v: 0.3721
2023/07/30 20:09:57 - mmengine - INFO - Epoch(train) [34][ 600/1879]  base_lr: 1.5121e-06 lr: 1.5121e-06  eta: 3:36:07  time: 0.5237  data_time: 0.2069  memory: 8783  loss: 0.6878  sim_loss_v2t: 0.3432  sim_loss_t2v: 0.3446
2023/07/30 20:10:52 - mmengine - INFO - Epoch(train) [34][ 700/1879]  base_lr: 1.5036e-06 lr: 1.5036e-06  eta: 3:35:33  time: 0.5226  data_time: 0.1549  memory: 8783  loss: 0.7373  sim_loss_v2t: 0.3640  sim_loss_t2v: 0.3733
2023/07/30 20:11:53 - mmengine - INFO - Epoch(train) [34][ 800/1879]  base_lr: 1.4951e-06 lr: 1.4951e-06  eta: 3:35:01  time: 0.5582  data_time: 0.0288  memory: 8783  loss: 0.7149  sim_loss_v2t: 0.3505  sim_loss_t2v: 0.3644
2023/07/30 20:12:50 - mmengine - INFO - Epoch(train) [34][ 900/1879]  base_lr: 1.4866e-06 lr: 1.4866e-06  eta: 3:34:27  time: 0.5948  data_time: 0.0824  memory: 8783  loss: 0.7569  sim_loss_v2t: 0.3782  sim_loss_t2v: 0.3787
2023/07/30 20:13:44 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 20:13:51 - mmengine - INFO - Epoch(train) [34][1000/1879]  base_lr: 1.4781e-06 lr: 1.4781e-06  eta: 3:33:56  time: 0.6707  data_time: 0.0457  memory: 8783  loss: 0.7096  sim_loss_v2t: 0.3549  sim_loss_t2v: 0.3546
2023/07/30 20:14:49 - mmengine - INFO - Epoch(train) [34][1100/1879]  base_lr: 1.4696e-06 lr: 1.4696e-06  eta: 3:33:22  time: 0.5467  data_time: 0.0320  memory: 8783  loss: 0.6879  sim_loss_v2t: 0.3411  sim_loss_t2v: 0.3468
2023/07/30 20:15:47 - mmengine - INFO - Epoch(train) [34][1200/1879]  base_lr: 1.4612e-06 lr: 1.4612e-06  eta: 3:32:49  time: 0.6166  data_time: 0.0319  memory: 8783  loss: 0.7070  sim_loss_v2t: 0.3521  sim_loss_t2v: 0.3549
2023/07/30 20:16:46 - mmengine - INFO - Epoch(train) [34][1300/1879]  base_lr: 1.4527e-06 lr: 1.4527e-06  eta: 3:32:15  time: 0.5512  data_time: 0.0337  memory: 8783  loss: 0.7181  sim_loss_v2t: 0.3545  sim_loss_t2v: 0.3637
2023/07/30 20:17:46 - mmengine - INFO - Epoch(train) [34][1400/1879]  base_lr: 1.4443e-06 lr: 1.4443e-06  eta: 3:31:43  time: 0.6049  data_time: 0.0375  memory: 8783  loss: 0.7228  sim_loss_v2t: 0.3623  sim_loss_t2v: 0.3605
2023/07/30 20:18:43 - mmengine - INFO - Epoch(train) [34][1500/1879]  base_lr: 1.4359e-06 lr: 1.4359e-06  eta: 3:31:09  time: 0.5359  data_time: 0.0373  memory: 8783  loss: 0.7174  sim_loss_v2t: 0.3544  sim_loss_t2v: 0.3630
2023/07/30 20:19:48 - mmengine - INFO - Epoch(train) [34][1600/1879]  base_lr: 1.4275e-06 lr: 1.4275e-06  eta: 3:30:38  time: 0.8449  data_time: 0.0371  memory: 8783  loss: 0.7173  sim_loss_v2t: 0.3566  sim_loss_t2v: 0.3607
2023/07/30 20:20:42 - mmengine - INFO - Epoch(train) [34][1700/1879]  base_lr: 1.4191e-06 lr: 1.4191e-06  eta: 3:30:02  time: 0.5134  data_time: 0.0390  memory: 8783  loss: 0.7197  sim_loss_v2t: 0.3562  sim_loss_t2v: 0.3636
2023/07/30 20:21:42 - mmengine - INFO - Epoch(train) [34][1800/1879]  base_lr: 1.4108e-06 lr: 1.4108e-06  eta: 3:29:29  time: 0.5304  data_time: 0.0393  memory: 8783  loss: 0.7198  sim_loss_v2t: 0.3569  sim_loss_t2v: 0.3629
2023/07/30 20:22:22 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 20:22:22 - mmengine - INFO - Epoch(train) [34][1879/1879]  base_lr: 1.4042e-06 lr: 1.4042e-06  eta: 3:29:00  time: 0.2509  data_time: 0.0155  memory: 8783  loss: 0.7514  sim_loss_v2t: 0.3732  sim_loss_t2v: 0.3782
2023/07/30 20:22:22 - mmengine - INFO - Saving checkpoint at 34 epochs
2023/07/30 20:24:50 - mmengine - INFO - Epoch(val) [34][100/155]    eta: 0:01:07  time: 1.1883  data_time: 0.0748  memory: 18758  
2023/07/30 20:25:55 - mmengine - INFO - Epoch(val) [34][155/155]    acc/top1: 0.7726  acc/top5: 0.9329  acc/mean1: 0.7725  data_time: 0.0849  time: 1.1974
2023/07/30 20:25:55 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_31.pth is removed
2023/07/30 20:26:04 - mmengine - INFO - The best checkpoint with 0.7726 acc/top1 at 34 epoch is saved to best_acc_top1_epoch_34.pth.
2023/07/30 20:27:19 - mmengine - INFO - Epoch(train) [35][ 100/1879]  base_lr: 1.3958e-06 lr: 1.3958e-06  eta: 3:28:25  time: 0.6501  data_time: 0.3014  memory: 18758  loss: 0.7050  sim_loss_v2t: 0.3487  sim_loss_t2v: 0.3563
2023/07/30 20:27:27 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 20:28:19 - mmengine - INFO - Epoch(train) [35][ 200/1879]  base_lr: 1.3875e-06 lr: 1.3875e-06  eta: 3:27:52  time: 0.5830  data_time: 0.1019  memory: 8783  loss: 0.7386  sim_loss_v2t: 0.3657  sim_loss_t2v: 0.3730
2023/07/30 20:29:16 - mmengine - INFO - Epoch(train) [35][ 300/1879]  base_lr: 1.3792e-06 lr: 1.3792e-06  eta: 3:27:18  time: 0.5290  data_time: 0.0563  memory: 8783  loss: 0.7272  sim_loss_v2t: 0.3650  sim_loss_t2v: 0.3622
2023/07/30 20:30:17 - mmengine - INFO - Epoch(train) [35][ 400/1879]  base_lr: 1.3709e-06 lr: 1.3709e-06  eta: 3:26:45  time: 0.6624  data_time: 0.0353  memory: 8783  loss: 0.6628  sim_loss_v2t: 0.3244  sim_loss_t2v: 0.3384
2023/07/30 20:31:17 - mmengine - INFO - Epoch(train) [35][ 500/1879]  base_lr: 1.3626e-06 lr: 1.3626e-06  eta: 3:26:11  time: 0.5711  data_time: 0.0441  memory: 8783  loss: 0.7160  sim_loss_v2t: 0.3533  sim_loss_t2v: 0.3626
2023/07/30 20:32:16 - mmengine - INFO - Epoch(train) [35][ 600/1879]  base_lr: 1.3543e-06 lr: 1.3543e-06  eta: 3:25:37  time: 0.6600  data_time: 0.2610  memory: 8783  loss: 0.7162  sim_loss_v2t: 0.3558  sim_loss_t2v: 0.3604
2023/07/30 20:33:14 - mmengine - INFO - Epoch(train) [35][ 700/1879]  base_lr: 1.3461e-06 lr: 1.3461e-06  eta: 3:25:02  time: 0.5077  data_time: 0.0896  memory: 8783  loss: 0.7233  sim_loss_v2t: 0.3589  sim_loss_t2v: 0.3644
2023/07/30 20:34:11 - mmengine - INFO - Epoch(train) [35][ 800/1879]  base_lr: 1.3379e-06 lr: 1.3379e-06  eta: 3:24:27  time: 0.5159  data_time: 0.1077  memory: 8783  loss: 0.7297  sim_loss_v2t: 0.3608  sim_loss_t2v: 0.3688
2023/07/30 20:35:11 - mmengine - INFO - Epoch(train) [35][ 900/1879]  base_lr: 1.3296e-06 lr: 1.3296e-06  eta: 3:23:53  time: 0.6202  data_time: 0.2484  memory: 8783  loss: 0.6997  sim_loss_v2t: 0.3493  sim_loss_t2v: 0.3504
2023/07/30 20:36:10 - mmengine - INFO - Epoch(train) [35][1000/1879]  base_lr: 1.3214e-06 lr: 1.3214e-06  eta: 3:23:19  time: 0.6452  data_time: 0.3374  memory: 8783  loss: 0.7179  sim_loss_v2t: 0.3572  sim_loss_t2v: 0.3606
2023/07/30 20:37:14 - mmengine - INFO - Epoch(train) [35][1100/1879]  base_lr: 1.3133e-06 lr: 1.3133e-06  eta: 3:22:47  time: 0.8314  data_time: 0.5339  memory: 8783  loss: 0.6941  sim_loss_v2t: 0.3458  sim_loss_t2v: 0.3482
2023/07/30 20:37:23 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 20:38:12 - mmengine - INFO - Epoch(train) [35][1200/1879]  base_lr: 1.3051e-06 lr: 1.3051e-06  eta: 3:22:12  time: 0.6099  data_time: 0.2683  memory: 8783  loss: 0.6828  sim_loss_v2t: 0.3439  sim_loss_t2v: 0.3390
2023/07/30 20:39:12 - mmengine - INFO - Epoch(train) [35][1300/1879]  base_lr: 1.2969e-06 lr: 1.2969e-06  eta: 3:21:38  time: 0.4420  data_time: 0.1239  memory: 8783  loss: 0.7162  sim_loss_v2t: 0.3576  sim_loss_t2v: 0.3586
2023/07/30 20:40:13 - mmengine - INFO - Epoch(train) [35][1400/1879]  base_lr: 1.2888e-06 lr: 1.2888e-06  eta: 3:21:04  time: 0.6832  data_time: 0.3560  memory: 8783  loss: 0.6804  sim_loss_v2t: 0.3355  sim_loss_t2v: 0.3448
2023/07/30 20:41:10 - mmengine - INFO - Epoch(train) [35][1500/1879]  base_lr: 1.2807e-06 lr: 1.2807e-06  eta: 3:20:28  time: 0.5529  data_time: 0.2074  memory: 8783  loss: 0.7067  sim_loss_v2t: 0.3474  sim_loss_t2v: 0.3593
2023/07/30 20:42:09 - mmengine - INFO - Epoch(train) [35][1600/1879]  base_lr: 1.2726e-06 lr: 1.2726e-06  eta: 3:19:54  time: 0.5076  data_time: 0.1647  memory: 8783  loss: 0.7080  sim_loss_v2t: 0.3504  sim_loss_t2v: 0.3576
2023/07/30 20:43:07 - mmengine - INFO - Epoch(train) [35][1700/1879]  base_lr: 1.2645e-06 lr: 1.2645e-06  eta: 3:19:18  time: 0.5056  data_time: 0.1299  memory: 8783  loss: 0.6864  sim_loss_v2t: 0.3481  sim_loss_t2v: 0.3383
2023/07/30 20:44:06 - mmengine - INFO - Epoch(train) [35][1800/1879]  base_lr: 1.2564e-06 lr: 1.2564e-06  eta: 3:18:43  time: 0.4993  data_time: 0.0371  memory: 8783  loss: 0.6969  sim_loss_v2t: 0.3443  sim_loss_t2v: 0.3526
2023/07/30 20:44:46 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 20:44:46 - mmengine - INFO - Epoch(train) [35][1879/1879]  base_lr: 1.2501e-06 lr: 1.2501e-06  eta: 3:18:13  time: 0.2185  data_time: 0.0157  memory: 8783  loss: 0.6643  sim_loss_v2t: 0.3351  sim_loss_t2v: 0.3292
2023/07/30 20:44:46 - mmengine - INFO - Saving checkpoint at 35 epochs
2023/07/30 20:47:15 - mmengine - INFO - Epoch(val) [35][100/155]    eta: 0:01:08  time: 1.2071  data_time: 0.0951  memory: 18758  
2023/07/30 20:48:19 - mmengine - INFO - Epoch(val) [35][155/155]    acc/top1: 0.7678  acc/top5: 0.9311  acc/mean1: 0.7677  data_time: 0.0884  time: 1.1993
2023/07/30 20:49:29 - mmengine - INFO - Epoch(train) [36][ 100/1879]  base_lr: 1.2420e-06 lr: 1.2420e-06  eta: 3:17:42  time: 0.4896  data_time: 0.0423  memory: 18758  loss: 0.7329  sim_loss_v2t: 0.3676  sim_loss_t2v: 0.3653
2023/07/30 20:50:31 - mmengine - INFO - Epoch(train) [36][ 200/1879]  base_lr: 1.2340e-06 lr: 1.2340e-06  eta: 3:17:09  time: 0.7045  data_time: 0.0397  memory: 8783  loss: 0.7418  sim_loss_v2t: 0.3679  sim_loss_t2v: 0.3739
2023/07/30 20:50:50 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 20:51:29 - mmengine - INFO - Epoch(train) [36][ 300/1879]  base_lr: 1.2260e-06 lr: 1.2260e-06  eta: 3:16:33  time: 0.5772  data_time: 0.0340  memory: 8783  loss: 0.6936  sim_loss_v2t: 0.3448  sim_loss_t2v: 0.3489
2023/07/30 20:52:27 - mmengine - INFO - Epoch(train) [36][ 400/1879]  base_lr: 1.2180e-06 lr: 1.2180e-06  eta: 3:15:57  time: 0.5931  data_time: 0.0347  memory: 8783  loss: 0.6629  sim_loss_v2t: 0.3303  sim_loss_t2v: 0.3326
2023/07/30 20:53:27 - mmengine - INFO - Epoch(train) [36][ 500/1879]  base_lr: 1.2101e-06 lr: 1.2101e-06  eta: 3:15:22  time: 0.6652  data_time: 0.1248  memory: 8783  loss: 0.6848  sim_loss_v2t: 0.3428  sim_loss_t2v: 0.3420
2023/07/30 20:54:24 - mmengine - INFO - Epoch(train) [36][ 600/1879]  base_lr: 1.2021e-06 lr: 1.2021e-06  eta: 3:14:46  time: 0.5208  data_time: 0.0356  memory: 8783  loss: 0.6922  sim_loss_v2t: 0.3416  sim_loss_t2v: 0.3506
2023/07/30 20:55:25 - mmengine - INFO - Epoch(train) [36][ 700/1879]  base_lr: 1.1942e-06 lr: 1.1942e-06  eta: 3:14:11  time: 0.5392  data_time: 0.0390  memory: 8783  loss: 0.7388  sim_loss_v2t: 0.3705  sim_loss_t2v: 0.3683
2023/07/30 20:56:24 - mmengine - INFO - Epoch(train) [36][ 800/1879]  base_lr: 1.1863e-06 lr: 1.1863e-06  eta: 3:13:36  time: 0.6925  data_time: 0.0441  memory: 8783  loss: 0.6875  sim_loss_v2t: 0.3462  sim_loss_t2v: 0.3412
2023/07/30 20:57:21 - mmengine - INFO - Epoch(train) [36][ 900/1879]  base_lr: 1.1784e-06 lr: 1.1784e-06  eta: 3:12:59  time: 0.5250  data_time: 0.0944  memory: 8783  loss: 0.7130  sim_loss_v2t: 0.3525  sim_loss_t2v: 0.3606
2023/07/30 20:58:20 - mmengine - INFO - Epoch(train) [36][1000/1879]  base_lr: 1.1705e-06 lr: 1.1705e-06  eta: 3:12:24  time: 0.5721  data_time: 0.0288  memory: 8783  loss: 0.6860  sim_loss_v2t: 0.3445  sim_loss_t2v: 0.3415
2023/07/30 20:59:20 - mmengine - INFO - Epoch(train) [36][1100/1879]  base_lr: 1.1627e-06 lr: 1.1627e-06  eta: 3:11:48  time: 0.6171  data_time: 0.0313  memory: 8783  loss: 0.7123  sim_loss_v2t: 0.3533  sim_loss_t2v: 0.3590
2023/07/30 21:00:21 - mmengine - INFO - Epoch(train) [36][1200/1879]  base_lr: 1.1548e-06 lr: 1.1548e-06  eta: 3:11:13  time: 0.5335  data_time: 0.0395  memory: 8783  loss: 0.7095  sim_loss_v2t: 0.3526  sim_loss_t2v: 0.3569
2023/07/30 21:00:38 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 21:01:16 - mmengine - INFO - Epoch(train) [36][1300/1879]  base_lr: 1.1470e-06 lr: 1.1470e-06  eta: 3:10:35  time: 0.4992  data_time: 0.0405  memory: 8783  loss: 0.6645  sim_loss_v2t: 0.3263  sim_loss_t2v: 0.3382
2023/07/30 21:02:16 - mmengine - INFO - Epoch(train) [36][1400/1879]  base_lr: 1.1392e-06 lr: 1.1392e-06  eta: 3:10:00  time: 0.5308  data_time: 0.0371  memory: 8783  loss: 0.7091  sim_loss_v2t: 0.3496  sim_loss_t2v: 0.3596
2023/07/30 21:03:15 - mmengine - INFO - Epoch(train) [36][1500/1879]  base_lr: 1.1314e-06 lr: 1.1314e-06  eta: 3:09:24  time: 0.6099  data_time: 0.0452  memory: 8783  loss: 0.6838  sim_loss_v2t: 0.3396  sim_loss_t2v: 0.3442
2023/07/30 21:04:16 - mmengine - INFO - Epoch(train) [36][1600/1879]  base_lr: 1.1237e-06 lr: 1.1237e-06  eta: 3:08:49  time: 0.7924  data_time: 0.3437  memory: 8783  loss: 0.7005  sim_loss_v2t: 0.3489  sim_loss_t2v: 0.3515
2023/07/30 21:05:12 - mmengine - INFO - Epoch(train) [36][1700/1879]  base_lr: 1.1159e-06 lr: 1.1159e-06  eta: 3:08:11  time: 0.5040  data_time: 0.1509  memory: 8783  loss: 0.6849  sim_loss_v2t: 0.3426  sim_loss_t2v: 0.3423
2023/07/30 21:06:15 - mmengine - INFO - Epoch(train) [36][1800/1879]  base_lr: 1.1082e-06 lr: 1.1082e-06  eta: 3:07:36  time: 0.7841  data_time: 0.0350  memory: 8783  loss: 0.6856  sim_loss_v2t: 0.3391  sim_loss_t2v: 0.3465
2023/07/30 21:06:51 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 21:06:51 - mmengine - INFO - Epoch(train) [36][1879/1879]  base_lr: 1.1021e-06 lr: 1.1021e-06  eta: 3:07:04  time: 0.2615  data_time: 0.0191  memory: 8783  loss: 0.6741  sim_loss_v2t: 0.3372  sim_loss_t2v: 0.3368
2023/07/30 21:06:51 - mmengine - INFO - Saving checkpoint at 36 epochs
2023/07/30 21:09:20 - mmengine - INFO - Epoch(val) [36][100/155]    eta: 0:01:07  time: 1.1953  data_time: 0.0838  memory: 18758  
2023/07/30 21:10:24 - mmengine - INFO - Epoch(val) [36][155/155]    acc/top1: 0.7691  acc/top5: 0.9309  acc/mean1: 0.7690  data_time: 0.0839  time: 1.1953
2023/07/30 21:11:35 - mmengine - INFO - Epoch(train) [37][ 100/1879]  base_lr: 1.0944e-06 lr: 1.0944e-06  eta: 3:06:32  time: 0.7693  data_time: 0.3320  memory: 18758  loss: 0.6745  sim_loss_v2t: 0.3342  sim_loss_t2v: 0.3403
2023/07/30 21:12:36 - mmengine - INFO - Epoch(train) [37][ 200/1879]  base_lr: 1.0867e-06 lr: 1.0867e-06  eta: 3:05:56  time: 0.6292  data_time: 0.1896  memory: 8783  loss: 0.6689  sim_loss_v2t: 0.3270  sim_loss_t2v: 0.3419
2023/07/30 21:13:35 - mmengine - INFO - Epoch(train) [37][ 300/1879]  base_lr: 1.0791e-06 lr: 1.0791e-06  eta: 3:05:20  time: 0.4653  data_time: 0.1496  memory: 8783  loss: 0.6602  sim_loss_v2t: 0.3285  sim_loss_t2v: 0.3317
2023/07/30 21:14:06 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 21:14:31 - mmengine - INFO - Epoch(train) [37][ 400/1879]  base_lr: 1.0714e-06 lr: 1.0714e-06  eta: 3:04:42  time: 0.5607  data_time: 0.0375  memory: 8783  loss: 0.7071  sim_loss_v2t: 0.3477  sim_loss_t2v: 0.3595
2023/07/30 21:15:28 - mmengine - INFO - Epoch(train) [37][ 500/1879]  base_lr: 1.0638e-06 lr: 1.0638e-06  eta: 3:04:05  time: 0.4838  data_time: 0.0368  memory: 8783  loss: 0.7055  sim_loss_v2t: 0.3446  sim_loss_t2v: 0.3609
2023/07/30 21:16:30 - mmengine - INFO - Epoch(train) [37][ 600/1879]  base_lr: 1.0562e-06 lr: 1.0562e-06  eta: 3:03:29  time: 0.7028  data_time: 0.0416  memory: 8783  loss: 0.6808  sim_loss_v2t: 0.3386  sim_loss_t2v: 0.3421
2023/07/30 21:17:28 - mmengine - INFO - Epoch(train) [37][ 700/1879]  base_lr: 1.0487e-06 lr: 1.0487e-06  eta: 3:02:52  time: 0.5211  data_time: 0.0271  memory: 8783  loss: 0.6981  sim_loss_v2t: 0.3524  sim_loss_t2v: 0.3457
2023/07/30 21:18:28 - mmengine - INFO - Epoch(train) [37][ 800/1879]  base_lr: 1.0411e-06 lr: 1.0411e-06  eta: 3:02:15  time: 0.5484  data_time: 0.0346  memory: 8783  loss: 0.7058  sim_loss_v2t: 0.3506  sim_loss_t2v: 0.3552
2023/07/30 21:19:27 - mmengine - INFO - Epoch(train) [37][ 900/1879]  base_lr: 1.0336e-06 lr: 1.0336e-06  eta: 3:01:38  time: 0.5911  data_time: 0.0404  memory: 8783  loss: 0.6822  sim_loss_v2t: 0.3413  sim_loss_t2v: 0.3409
2023/07/30 21:20:25 - mmengine - INFO - Epoch(train) [37][1000/1879]  base_lr: 1.0261e-06 lr: 1.0261e-06  eta: 3:01:01  time: 0.5680  data_time: 0.0430  memory: 8783  loss: 0.6228  sim_loss_v2t: 0.3077  sim_loss_t2v: 0.3151
2023/07/30 21:21:27 - mmengine - INFO - Epoch(train) [37][1100/1879]  base_lr: 1.0186e-06 lr: 1.0186e-06  eta: 3:00:25  time: 0.7359  data_time: 0.0374  memory: 8783  loss: 0.6627  sim_loss_v2t: 0.3301  sim_loss_t2v: 0.3325
2023/07/30 21:22:23 - mmengine - INFO - Epoch(train) [37][1200/1879]  base_lr: 1.0111e-06 lr: 1.0111e-06  eta: 2:59:47  time: 0.4741  data_time: 0.0297  memory: 8783  loss: 0.7050  sim_loss_v2t: 0.3517  sim_loss_t2v: 0.3532
2023/07/30 21:23:23 - mmengine - INFO - Epoch(train) [37][1300/1879]  base_lr: 1.0037e-06 lr: 1.0037e-06  eta: 2:59:10  time: 0.5643  data_time: 0.0348  memory: 8783  loss: 0.7338  sim_loss_v2t: 0.3638  sim_loss_t2v: 0.3700
2023/07/30 21:23:55 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 21:24:23 - mmengine - INFO - Epoch(train) [37][1400/1879]  base_lr: 9.9622e-07 lr: 9.9622e-07  eta: 2:58:33  time: 0.6497  data_time: 0.0415  memory: 8783  loss: 0.6680  sim_loss_v2t: 0.3299  sim_loss_t2v: 0.3380
2023/07/30 21:25:21 - mmengine - INFO - Epoch(train) [37][1500/1879]  base_lr: 9.8881e-07 lr: 9.8881e-07  eta: 2:57:55  time: 0.5081  data_time: 0.0354  memory: 8783  loss: 0.6954  sim_loss_v2t: 0.3444  sim_loss_t2v: 0.3510
2023/07/30 21:26:20 - mmengine - INFO - Epoch(train) [37][1600/1879]  base_lr: 9.8142e-07 lr: 9.8142e-07  eta: 2:57:18  time: 0.5499  data_time: 0.0321  memory: 8783  loss: 0.6813  sim_loss_v2t: 0.3374  sim_loss_t2v: 0.3439
2023/07/30 21:27:19 - mmengine - INFO - Epoch(train) [37][1700/1879]  base_lr: 9.7406e-07 lr: 9.7406e-07  eta: 2:56:40  time: 0.5681  data_time: 0.0351  memory: 8783  loss: 0.7240  sim_loss_v2t: 0.3590  sim_loss_t2v: 0.3650
2023/07/30 21:28:21 - mmengine - INFO - Epoch(train) [37][1800/1879]  base_lr: 9.6671e-07 lr: 9.6671e-07  eta: 2:56:04  time: 0.7182  data_time: 0.0391  memory: 8783  loss: 0.6870  sim_loss_v2t: 0.3392  sim_loss_t2v: 0.3478
2023/07/30 21:28:58 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 21:28:58 - mmengine - INFO - Epoch(train) [37][1879/1879]  base_lr: 9.6092e-07 lr: 9.6092e-07  eta: 2:55:31  time: 0.2032  data_time: 0.0186  memory: 8783  loss: 0.6767  sim_loss_v2t: 0.3407  sim_loss_t2v: 0.3360
2023/07/30 21:28:58 - mmengine - INFO - Saving checkpoint at 37 epochs
2023/07/30 21:31:22 - mmengine - INFO - Epoch(val) [37][100/155]    eta: 0:01:08  time: 1.1815  data_time: 0.0691  memory: 18758  
2023/07/30 21:32:27 - mmengine - INFO - Epoch(val) [37][155/155]    acc/top1: 0.7728  acc/top5: 0.9324  acc/mean1: 0.7727  data_time: 0.0986  time: 1.2095
2023/07/30 21:32:27 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_34.pth is removed
2023/07/30 21:32:35 - mmengine - INFO - The best checkpoint with 0.7728 acc/top1 at 37 epoch is saved to best_acc_top1_epoch_37.pth.
2023/07/30 21:33:54 - mmengine - INFO - Epoch(train) [38][ 100/1879]  base_lr: 9.5361e-07 lr: 9.5361e-07  eta: 2:54:54  time: 0.7480  data_time: 0.4254  memory: 18758  loss: 0.6862  sim_loss_v2t: 0.3378  sim_loss_t2v: 0.3484
2023/07/30 21:34:54 - mmengine - INFO - Epoch(train) [38][ 200/1879]  base_lr: 9.4632e-07 lr: 9.4632e-07  eta: 2:54:16  time: 0.7179  data_time: 0.1061  memory: 8783  loss: 0.6945  sim_loss_v2t: 0.3424  sim_loss_t2v: 0.3521
2023/07/30 21:35:48 - mmengine - INFO - Epoch(train) [38][ 300/1879]  base_lr: 9.3906e-07 lr: 9.3906e-07  eta: 2:53:37  time: 0.4926  data_time: 0.0314  memory: 8783  loss: 0.6858  sim_loss_v2t: 0.3349  sim_loss_t2v: 0.3509
2023/07/30 21:36:48 - mmengine - INFO - Epoch(train) [38][ 400/1879]  base_lr: 9.3181e-07 lr: 9.3181e-07  eta: 2:53:00  time: 0.6831  data_time: 0.0342  memory: 8783  loss: 0.6245  sim_loss_v2t: 0.3067  sim_loss_t2v: 0.3178
2023/07/30 21:37:31 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 21:37:48 - mmengine - INFO - Epoch(train) [38][ 500/1879]  base_lr: 9.2459e-07 lr: 9.2459e-07  eta: 2:52:22  time: 0.5773  data_time: 0.1393  memory: 8783  loss: 0.6792  sim_loss_v2t: 0.3400  sim_loss_t2v: 0.3392
2023/07/30 21:38:47 - mmengine - INFO - Epoch(train) [38][ 600/1879]  base_lr: 9.1739e-07 lr: 9.1739e-07  eta: 2:51:44  time: 0.6151  data_time: 0.0329  memory: 8783  loss: 0.6691  sim_loss_v2t: 0.3374  sim_loss_t2v: 0.3318
2023/07/30 21:39:45 - mmengine - INFO - Epoch(train) [38][ 700/1879]  base_lr: 9.1021e-07 lr: 9.1021e-07  eta: 2:51:06  time: 0.4649  data_time: 0.0331  memory: 8783  loss: 0.7001  sim_loss_v2t: 0.3490  sim_loss_t2v: 0.3511
2023/07/30 21:40:42 - mmengine - INFO - Epoch(train) [38][ 800/1879]  base_lr: 9.0305e-07 lr: 9.0305e-07  eta: 2:50:27  time: 0.5183  data_time: 0.0370  memory: 8783  loss: 0.7094  sim_loss_v2t: 0.3529  sim_loss_t2v: 0.3565
2023/07/30 21:41:41 - mmengine - INFO - Epoch(train) [38][ 900/1879]  base_lr: 8.9591e-07 lr: 8.9591e-07  eta: 2:49:49  time: 0.5525  data_time: 0.0367  memory: 8783  loss: 0.6422  sim_loss_v2t: 0.3223  sim_loss_t2v: 0.3200
2023/07/30 21:42:43 - mmengine - INFO - Epoch(train) [38][1000/1879]  base_lr: 8.8880e-07 lr: 8.8880e-07  eta: 2:49:12  time: 0.6407  data_time: 0.0364  memory: 8783  loss: 0.7161  sim_loss_v2t: 0.3514  sim_loss_t2v: 0.3647
2023/07/30 21:43:42 - mmengine - INFO - Epoch(train) [38][1100/1879]  base_lr: 8.8171e-07 lr: 8.8171e-07  eta: 2:48:34  time: 0.6308  data_time: 0.0309  memory: 8783  loss: 0.6795  sim_loss_v2t: 0.3349  sim_loss_t2v: 0.3445
2023/07/30 21:44:39 - mmengine - INFO - Epoch(train) [38][1200/1879]  base_lr: 8.7464e-07 lr: 8.7464e-07  eta: 2:47:55  time: 0.5521  data_time: 0.0912  memory: 8783  loss: 0.6941  sim_loss_v2t: 0.3472  sim_loss_t2v: 0.3470
2023/07/30 21:45:38 - mmengine - INFO - Epoch(train) [38][1300/1879]  base_lr: 8.6759e-07 lr: 8.6759e-07  eta: 2:47:17  time: 0.6852  data_time: 0.1127  memory: 8783  loss: 0.6681  sim_loss_v2t: 0.3282  sim_loss_t2v: 0.3399
2023/07/30 21:46:37 - mmengine - INFO - Epoch(train) [38][1400/1879]  base_lr: 8.6057e-07 lr: 8.6057e-07  eta: 2:46:38  time: 0.5488  data_time: 0.0381  memory: 8783  loss: 0.6505  sim_loss_v2t: 0.3258  sim_loss_t2v: 0.3246
2023/07/30 21:47:26 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 21:47:38 - mmengine - INFO - Epoch(train) [38][1500/1879]  base_lr: 8.5357e-07 lr: 8.5357e-07  eta: 2:46:00  time: 0.5244  data_time: 0.0397  memory: 8783  loss: 0.6813  sim_loss_v2t: 0.3350  sim_loss_t2v: 0.3463
2023/07/30 21:48:39 - mmengine - INFO - Epoch(train) [38][1600/1879]  base_lr: 8.4659e-07 lr: 8.4659e-07  eta: 2:45:23  time: 0.7182  data_time: 0.0319  memory: 8783  loss: 0.6842  sim_loss_v2t: 0.3429  sim_loss_t2v: 0.3413
2023/07/30 21:49:37 - mmengine - INFO - Epoch(train) [38][1700/1879]  base_lr: 8.3964e-07 lr: 8.3964e-07  eta: 2:44:44  time: 0.5673  data_time: 0.0396  memory: 8783  loss: 0.7166  sim_loss_v2t: 0.3531  sim_loss_t2v: 0.3635
2023/07/30 21:50:34 - mmengine - INFO - Epoch(train) [38][1800/1879]  base_lr: 8.3270e-07 lr: 8.3270e-07  eta: 2:44:04  time: 0.5498  data_time: 0.0812  memory: 8783  loss: 0.6432  sim_loss_v2t: 0.3203  sim_loss_t2v: 0.3229
2023/07/30 21:51:13 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 21:51:13 - mmengine - INFO - Epoch(train) [38][1879/1879]  base_lr: 8.2724e-07 lr: 8.2724e-07  eta: 2:43:32  time: 0.2718  data_time: 0.0781  memory: 8783  loss: 0.6905  sim_loss_v2t: 0.3442  sim_loss_t2v: 0.3463
2023/07/30 21:51:13 - mmengine - INFO - Saving checkpoint at 38 epochs
2023/07/30 21:53:38 - mmengine - INFO - Epoch(val) [38][100/155]    eta: 0:01:08  time: 1.1904  data_time: 0.0744  memory: 18758  
2023/07/30 21:54:43 - mmengine - INFO - Epoch(val) [38][155/155]    acc/top1: 0.7709  acc/top5: 0.9324  acc/mean1: 0.7708  data_time: 0.0972  time: 1.2090
2023/07/30 21:55:53 - mmengine - INFO - Epoch(train) [39][ 100/1879]  base_lr: 8.2035e-07 lr: 8.2035e-07  eta: 2:42:56  time: 0.7298  data_time: 0.0711  memory: 18758  loss: 0.6546  sim_loss_v2t: 0.3267  sim_loss_t2v: 0.3278
2023/07/30 21:56:51 - mmengine - INFO - Epoch(train) [39][ 200/1879]  base_lr: 8.1348e-07 lr: 8.1348e-07  eta: 2:42:17  time: 0.5425  data_time: 0.0328  memory: 8783  loss: 0.6496  sim_loss_v2t: 0.3212  sim_loss_t2v: 0.3284
2023/07/30 21:57:49 - mmengine - INFO - Epoch(train) [39][ 300/1879]  base_lr: 8.0664e-07 lr: 8.0664e-07  eta: 2:41:38  time: 0.5345  data_time: 0.0325  memory: 8783  loss: 0.6816  sim_loss_v2t: 0.3355  sim_loss_t2v: 0.3461
2023/07/30 21:58:48 - mmengine - INFO - Epoch(train) [39][ 400/1879]  base_lr: 7.9982e-07 lr: 7.9982e-07  eta: 2:40:59  time: 0.5480  data_time: 0.0339  memory: 8783  loss: 0.6664  sim_loss_v2t: 0.3313  sim_loss_t2v: 0.3351
2023/07/30 21:59:49 - mmengine - INFO - Epoch(train) [39][ 500/1879]  base_lr: 7.9302e-07 lr: 7.9302e-07  eta: 2:40:21  time: 0.7331  data_time: 0.3779  memory: 8783  loss: 0.6756  sim_loss_v2t: 0.3347  sim_loss_t2v: 0.3409
2023/07/30 22:00:45 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 22:00:47 - mmengine - INFO - Epoch(train) [39][ 600/1879]  base_lr: 7.8624e-07 lr: 7.8624e-07  eta: 2:39:42  time: 0.6411  data_time: 0.0333  memory: 8783  loss: 0.6895  sim_loss_v2t: 0.3440  sim_loss_t2v: 0.3455
2023/07/30 22:01:47 - mmengine - INFO - Epoch(train) [39][ 700/1879]  base_lr: 7.7949e-07 lr: 7.7949e-07  eta: 2:39:03  time: 0.6906  data_time: 0.0373  memory: 8783  loss: 0.7129  sim_loss_v2t: 0.3523  sim_loss_t2v: 0.3605
2023/07/30 22:02:44 - mmengine - INFO - Epoch(train) [39][ 800/1879]  base_lr: 7.7277e-07 lr: 7.7277e-07  eta: 2:38:23  time: 0.5711  data_time: 0.0321  memory: 8783  loss: 0.7101  sim_loss_v2t: 0.3566  sim_loss_t2v: 0.3535
2023/07/30 22:03:45 - mmengine - INFO - Epoch(train) [39][ 900/1879]  base_lr: 7.6606e-07 lr: 7.6606e-07  eta: 2:37:45  time: 0.4593  data_time: 0.0330  memory: 8783  loss: 0.6669  sim_loss_v2t: 0.3314  sim_loss_t2v: 0.3355
2023/07/30 22:04:44 - mmengine - INFO - Epoch(train) [39][1000/1879]  base_lr: 7.5938e-07 lr: 7.5938e-07  eta: 2:37:06  time: 0.5366  data_time: 0.0378  memory: 8783  loss: 0.7030  sim_loss_v2t: 0.3440  sim_loss_t2v: 0.3590
2023/07/30 22:05:45 - mmengine - INFO - Epoch(train) [39][1100/1879]  base_lr: 7.5273e-07 lr: 7.5273e-07  eta: 2:36:27  time: 0.7265  data_time: 0.0323  memory: 8783  loss: 0.6638  sim_loss_v2t: 0.3293  sim_loss_t2v: 0.3344
2023/07/30 22:06:43 - mmengine - INFO - Epoch(train) [39][1200/1879]  base_lr: 7.4610e-07 lr: 7.4610e-07  eta: 2:35:47  time: 0.5490  data_time: 0.0339  memory: 8783  loss: 0.6902  sim_loss_v2t: 0.3416  sim_loss_t2v: 0.3487
2023/07/30 22:07:41 - mmengine - INFO - Epoch(train) [39][1300/1879]  base_lr: 7.3949e-07 lr: 7.3949e-07  eta: 2:35:08  time: 0.5509  data_time: 0.0423  memory: 8783  loss: 0.6541  sim_loss_v2t: 0.3290  sim_loss_t2v: 0.3251
2023/07/30 22:08:41 - mmengine - INFO - Epoch(train) [39][1400/1879]  base_lr: 7.3291e-07 lr: 7.3291e-07  eta: 2:34:29  time: 0.5451  data_time: 0.0339  memory: 8783  loss: 0.6915  sim_loss_v2t: 0.3432  sim_loss_t2v: 0.3483
2023/07/30 22:09:42 - mmengine - INFO - Epoch(train) [39][1500/1879]  base_lr: 7.2635e-07 lr: 7.2635e-07  eta: 2:33:50  time: 0.7291  data_time: 0.0429  memory: 8783  loss: 0.7054  sim_loss_v2t: 0.3486  sim_loss_t2v: 0.3567
2023/07/30 22:10:38 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 22:10:39 - mmengine - INFO - Epoch(train) [39][1600/1879]  base_lr: 7.1981e-07 lr: 7.1981e-07  eta: 2:33:10  time: 0.5023  data_time: 0.0300  memory: 8783  loss: 0.6896  sim_loss_v2t: 0.3457  sim_loss_t2v: 0.3438
2023/07/30 22:11:37 - mmengine - INFO - Epoch(train) [39][1700/1879]  base_lr: 7.1330e-07 lr: 7.1330e-07  eta: 2:32:30  time: 0.5569  data_time: 0.0316  memory: 8783  loss: 0.6458  sim_loss_v2t: 0.3236  sim_loss_t2v: 0.3223
2023/07/30 22:12:35 - mmengine - INFO - Epoch(train) [39][1800/1879]  base_lr: 7.0682e-07 lr: 7.0682e-07  eta: 2:31:50  time: 0.5235  data_time: 0.0313  memory: 8783  loss: 0.6569  sim_loss_v2t: 0.3303  sim_loss_t2v: 0.3266
2023/07/30 22:13:17 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 22:13:17 - mmengine - INFO - Epoch(train) [39][1879/1879]  base_lr: 7.0172e-07 lr: 7.0172e-07  eta: 2:31:17  time: 0.3231  data_time: 0.0174  memory: 8783  loss: 0.6438  sim_loss_v2t: 0.3222  sim_loss_t2v: 0.3215
2023/07/30 22:13:17 - mmengine - INFO - Saving checkpoint at 39 epochs
2023/07/30 22:15:45 - mmengine - INFO - Epoch(val) [39][100/155]    eta: 0:01:07  time: 1.1825  data_time: 0.0696  memory: 18758  
2023/07/30 22:16:49 - mmengine - INFO - Epoch(val) [39][155/155]    acc/top1: 0.7708  acc/top5: 0.9321  acc/mean1: 0.7707  data_time: 0.0874  time: 1.1980
2023/07/30 22:17:44 - mmengine - INFO - Epoch(train) [40][ 100/1879]  base_lr: 6.9527e-07 lr: 6.9527e-07  eta: 2:30:36  time: 0.7561  data_time: 0.0490  memory: 18758  loss: 0.6265  sim_loss_v2t: 0.3142  sim_loss_t2v: 0.3123
2023/07/30 22:18:43 - mmengine - INFO - Epoch(train) [40][ 200/1879]  base_lr: 6.8886e-07 lr: 6.8886e-07  eta: 2:29:57  time: 0.6046  data_time: 0.2304  memory: 8783  loss: 0.6967  sim_loss_v2t: 0.3509  sim_loss_t2v: 0.3458
2023/07/30 22:19:42 - mmengine - INFO - Epoch(train) [40][ 300/1879]  base_lr: 6.8247e-07 lr: 6.8247e-07  eta: 2:29:17  time: 0.6126  data_time: 0.0334  memory: 8783  loss: 0.6829  sim_loss_v2t: 0.3348  sim_loss_t2v: 0.3481
2023/07/30 22:20:40 - mmengine - INFO - Epoch(train) [40][ 400/1879]  base_lr: 6.7610e-07 lr: 6.7610e-07  eta: 2:28:37  time: 0.5997  data_time: 0.1446  memory: 8783  loss: 0.6643  sim_loss_v2t: 0.3319  sim_loss_t2v: 0.3323
2023/07/30 22:21:40 - mmengine - INFO - Epoch(train) [40][ 500/1879]  base_lr: 6.6976e-07 lr: 6.6976e-07  eta: 2:27:57  time: 0.5940  data_time: 0.2328  memory: 8783  loss: 0.6451  sim_loss_v2t: 0.3201  sim_loss_t2v: 0.3250
2023/07/30 22:22:40 - mmengine - INFO - Epoch(train) [40][ 600/1879]  base_lr: 6.6345e-07 lr: 6.6345e-07  eta: 2:27:17  time: 0.6160  data_time: 0.2861  memory: 8783  loss: 0.6439  sim_loss_v2t: 0.3199  sim_loss_t2v: 0.3240
2023/07/30 22:23:40 - mmengine - INFO - Epoch(train) [40][ 700/1879]  base_lr: 6.5716e-07 lr: 6.5716e-07  eta: 2:26:38  time: 0.5081  data_time: 0.1888  memory: 8783  loss: 0.6487  sim_loss_v2t: 0.3256  sim_loss_t2v: 0.3231
2023/07/30 22:23:50 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 22:24:38 - mmengine - INFO - Epoch(train) [40][ 800/1879]  base_lr: 6.5090e-07 lr: 6.5090e-07  eta: 2:25:57  time: 0.5666  data_time: 0.2456  memory: 8783  loss: 0.6499  sim_loss_v2t: 0.3224  sim_loss_t2v: 0.3275
2023/07/30 22:25:36 - mmengine - INFO - Epoch(train) [40][ 900/1879]  base_lr: 6.4466e-07 lr: 6.4466e-07  eta: 2:25:17  time: 0.6236  data_time: 0.2995  memory: 8783  loss: 0.6418  sim_loss_v2t: 0.3192  sim_loss_t2v: 0.3227
2023/07/30 22:26:38 - mmengine - INFO - Epoch(train) [40][1000/1879]  base_lr: 6.3844e-07 lr: 6.3844e-07  eta: 2:24:37  time: 0.6612  data_time: 0.3487  memory: 8783  loss: 0.6349  sim_loss_v2t: 0.3177  sim_loss_t2v: 0.3172
2023/07/30 22:27:34 - mmengine - INFO - Epoch(train) [40][1100/1879]  base_lr: 6.3226e-07 lr: 6.3226e-07  eta: 2:23:56  time: 0.4611  data_time: 0.1281  memory: 8783  loss: 0.7014  sim_loss_v2t: 0.3473  sim_loss_t2v: 0.3541
2023/07/30 22:28:32 - mmengine - INFO - Epoch(train) [40][1200/1879]  base_lr: 6.2610e-07 lr: 6.2610e-07  eta: 2:23:16  time: 0.5836  data_time: 0.1707  memory: 8783  loss: 0.6546  sim_loss_v2t: 0.3290  sim_loss_t2v: 0.3256
2023/07/30 22:29:31 - mmengine - INFO - Epoch(train) [40][1300/1879]  base_lr: 6.1996e-07 lr: 6.1996e-07  eta: 2:22:36  time: 0.5553  data_time: 0.0344  memory: 8783  loss: 0.6895  sim_loss_v2t: 0.3421  sim_loss_t2v: 0.3474
2023/07/30 22:30:32 - mmengine - INFO - Epoch(train) [40][1400/1879]  base_lr: 6.1385e-07 lr: 6.1385e-07  eta: 2:21:56  time: 0.6685  data_time: 0.0343  memory: 8783  loss: 0.6698  sim_loss_v2t: 0.3308  sim_loss_t2v: 0.3390
2023/07/30 22:31:31 - mmengine - INFO - Epoch(train) [40][1500/1879]  base_lr: 6.0777e-07 lr: 6.0777e-07  eta: 2:21:15  time: 0.4894  data_time: 0.0410  memory: 8783  loss: 0.6970  sim_loss_v2t: 0.3399  sim_loss_t2v: 0.3572
2023/07/30 22:32:28 - mmengine - INFO - Epoch(train) [40][1600/1879]  base_lr: 6.0171e-07 lr: 6.0171e-07  eta: 2:20:34  time: 0.4871  data_time: 0.0339  memory: 8783  loss: 0.6723  sim_loss_v2t: 0.3359  sim_loss_t2v: 0.3364
2023/07/30 22:33:29 - mmengine - INFO - Epoch(train) [40][1700/1879]  base_lr: 5.9568e-07 lr: 5.9568e-07  eta: 2:19:54  time: 0.5468  data_time: 0.0428  memory: 8783  loss: 0.6609  sim_loss_v2t: 0.3255  sim_loss_t2v: 0.3354
2023/07/30 22:33:39 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 22:34:26 - mmengine - INFO - Epoch(train) [40][1800/1879]  base_lr: 5.8967e-07 lr: 5.8967e-07  eta: 2:19:13  time: 0.5797  data_time: 0.0397  memory: 8783  loss: 0.6568  sim_loss_v2t: 0.3267  sim_loss_t2v: 0.3301
2023/07/30 22:35:06 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 22:35:06 - mmengine - INFO - Epoch(train) [40][1879/1879]  base_lr: 5.8495e-07 lr: 5.8495e-07  eta: 2:18:39  time: 0.2450  data_time: 0.0179  memory: 8783  loss: 0.6707  sim_loss_v2t: 0.3333  sim_loss_t2v: 0.3375
2023/07/30 22:35:06 - mmengine - INFO - Saving checkpoint at 40 epochs
2023/07/30 22:37:33 - mmengine - INFO - Epoch(val) [40][100/155]    eta: 0:01:07  time: 1.1920  data_time: 0.0797  memory: 18758  
2023/07/30 22:38:38 - mmengine - INFO - Epoch(val) [40][155/155]    acc/top1: 0.7700  acc/top5: 0.9323  acc/mean1: 0.7699  data_time: 0.0874  time: 1.1997
2023/07/30 22:39:49 - mmengine - INFO - Epoch(train) [41][ 100/1879]  base_lr: 5.7899e-07 lr: 5.7899e-07  eta: 2:18:02  time: 0.7848  data_time: 0.0643  memory: 18758  loss: 0.6590  sim_loss_v2t: 0.3241  sim_loss_t2v: 0.3349
2023/07/30 22:40:47 - mmengine - INFO - Epoch(train) [41][ 200/1879]  base_lr: 5.7306e-07 lr: 5.7306e-07  eta: 2:17:21  time: 0.5256  data_time: 0.0544  memory: 8783  loss: 0.6528  sim_loss_v2t: 0.3209  sim_loss_t2v: 0.3319
2023/07/30 22:41:44 - mmengine - INFO - Epoch(train) [41][ 300/1879]  base_lr: 5.6716e-07 lr: 5.6716e-07  eta: 2:16:40  time: 0.5662  data_time: 0.0436  memory: 8783  loss: 0.6521  sim_loss_v2t: 0.3248  sim_loss_t2v: 0.3272
2023/07/30 22:42:42 - mmengine - INFO - Epoch(train) [41][ 400/1879]  base_lr: 5.6128e-07 lr: 5.6128e-07  eta: 2:15:58  time: 0.5149  data_time: 0.0426  memory: 8783  loss: 0.6690  sim_loss_v2t: 0.3322  sim_loss_t2v: 0.3368
2023/07/30 22:43:46 - mmengine - INFO - Epoch(train) [41][ 500/1879]  base_lr: 5.5543e-07 lr: 5.5543e-07  eta: 2:15:19  time: 0.6910  data_time: 0.0371  memory: 8783  loss: 0.6507  sim_loss_v2t: 0.3226  sim_loss_t2v: 0.3282
2023/07/30 22:44:42 - mmengine - INFO - Epoch(train) [41][ 600/1879]  base_lr: 5.4960e-07 lr: 5.4960e-07  eta: 2:14:37  time: 0.5356  data_time: 0.0368  memory: 8783  loss: 0.6235  sim_loss_v2t: 0.3108  sim_loss_t2v: 0.3127
2023/07/30 22:45:40 - mmengine - INFO - Epoch(train) [41][ 700/1879]  base_lr: 5.4380e-07 lr: 5.4380e-07  eta: 2:13:56  time: 0.5871  data_time: 0.0337  memory: 8783  loss: 0.6667  sim_loss_v2t: 0.3297  sim_loss_t2v: 0.3370
2023/07/30 22:46:39 - mmengine - INFO - Epoch(train) [41][ 800/1879]  base_lr: 5.3803e-07 lr: 5.3803e-07  eta: 2:13:15  time: 0.5152  data_time: 0.0323  memory: 8783  loss: 0.6729  sim_loss_v2t: 0.3345  sim_loss_t2v: 0.3384
2023/07/30 22:47:04 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 22:47:41 - mmengine - INFO - Epoch(train) [41][ 900/1879]  base_lr: 5.3229e-07 lr: 5.3229e-07  eta: 2:12:35  time: 0.6162  data_time: 0.0325  memory: 8783  loss: 0.6769  sim_loss_v2t: 0.3392  sim_loss_t2v: 0.3377
2023/07/30 22:48:38 - mmengine - INFO - Epoch(train) [41][1000/1879]  base_lr: 5.2658e-07 lr: 5.2658e-07  eta: 2:11:53  time: 0.6417  data_time: 0.0604  memory: 8783  loss: 0.6328  sim_loss_v2t: 0.3175  sim_loss_t2v: 0.3153
2023/07/30 22:49:36 - mmengine - INFO - Epoch(train) [41][1100/1879]  base_lr: 5.2089e-07 lr: 5.2089e-07  eta: 2:11:12  time: 0.5236  data_time: 0.0346  memory: 8783  loss: 0.6824  sim_loss_v2t: 0.3423  sim_loss_t2v: 0.3401
2023/07/30 22:50:35 - mmengine - INFO - Epoch(train) [41][1200/1879]  base_lr: 5.1523e-07 lr: 5.1523e-07  eta: 2:10:30  time: 0.6400  data_time: 0.0531  memory: 8783  loss: 0.6779  sim_loss_v2t: 0.3345  sim_loss_t2v: 0.3435
2023/07/30 22:51:37 - mmengine - INFO - Epoch(train) [41][1300/1879]  base_lr: 5.0959e-07 lr: 5.0959e-07  eta: 2:09:50  time: 0.7233  data_time: 0.0418  memory: 8783  loss: 0.6755  sim_loss_v2t: 0.3371  sim_loss_t2v: 0.3385
2023/07/30 22:52:33 - mmengine - INFO - Epoch(train) [41][1400/1879]  base_lr: 5.0398e-07 lr: 5.0398e-07  eta: 2:09:08  time: 0.5125  data_time: 0.0406  memory: 8783  loss: 0.6940  sim_loss_v2t: 0.3436  sim_loss_t2v: 0.3504
2023/07/30 22:53:35 - mmengine - INFO - Epoch(train) [41][1500/1879]  base_lr: 4.9841e-07 lr: 4.9841e-07  eta: 2:08:27  time: 0.5645  data_time: 0.0377  memory: 8783  loss: 0.6710  sim_loss_v2t: 0.3326  sim_loss_t2v: 0.3384
2023/07/30 22:54:33 - mmengine - INFO - Epoch(train) [41][1600/1879]  base_lr: 4.9285e-07 lr: 4.9285e-07  eta: 2:07:46  time: 0.4726  data_time: 0.0386  memory: 8783  loss: 0.6852  sim_loss_v2t: 0.3351  sim_loss_t2v: 0.3500
2023/07/30 22:55:32 - mmengine - INFO - Epoch(train) [41][1700/1879]  base_lr: 4.8733e-07 lr: 4.8733e-07  eta: 2:07:04  time: 0.6634  data_time: 0.0358  memory: 8783  loss: 0.6873  sim_loss_v2t: 0.3378  sim_loss_t2v: 0.3495
2023/07/30 22:56:31 - mmengine - INFO - Epoch(train) [41][1800/1879]  base_lr: 4.8183e-07 lr: 4.8183e-07  eta: 2:06:23  time: 0.7135  data_time: 0.0362  memory: 8783  loss: 0.6730  sim_loss_v2t: 0.3334  sim_loss_t2v: 0.3396
2023/07/30 22:56:54 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 22:57:09 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 22:57:09 - mmengine - INFO - Epoch(train) [41][1879/1879]  base_lr: 4.7751e-07 lr: 4.7751e-07  eta: 2:05:48  time: 0.2632  data_time: 0.0193  memory: 8783  loss: 0.6386  sim_loss_v2t: 0.3170  sim_loss_t2v: 0.3216
2023/07/30 22:57:09 - mmengine - INFO - Saving checkpoint at 41 epochs
2023/07/30 22:59:37 - mmengine - INFO - Epoch(val) [41][100/155]    eta: 0:01:07  time: 1.1919  data_time: 0.0793  memory: 18758  
2023/07/30 23:00:42 - mmengine - INFO - Epoch(val) [41][155/155]    acc/top1: 0.7737  acc/top5: 0.9324  acc/mean1: 0.7737  data_time: 0.0847  time: 1.1968
2023/07/30 23:00:42 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_37.pth is removed
2023/07/30 23:00:50 - mmengine - INFO - The best checkpoint with 0.7737 acc/top1 at 41 epoch is saved to best_acc_top1_epoch_41.pth.
2023/07/30 23:02:06 - mmengine - INFO - Epoch(train) [42][ 100/1879]  base_lr: 4.7207e-07 lr: 4.7207e-07  eta: 2:05:07  time: 0.6631  data_time: 0.3398  memory: 18758  loss: 0.6437  sim_loss_v2t: 0.3170  sim_loss_t2v: 0.3267
2023/07/30 23:03:05 - mmengine - INFO - Epoch(train) [42][ 200/1879]  base_lr: 4.6665e-07 lr: 4.6665e-07  eta: 2:04:25  time: 0.5628  data_time: 0.2161  memory: 8783  loss: 0.6470  sim_loss_v2t: 0.3213  sim_loss_t2v: 0.3257
2023/07/30 23:04:00 - mmengine - INFO - Epoch(train) [42][ 300/1879]  base_lr: 4.6126e-07 lr: 4.6126e-07  eta: 2:03:43  time: 0.5606  data_time: 0.1453  memory: 8783  loss: 0.6832  sim_loss_v2t: 0.3373  sim_loss_t2v: 0.3459
2023/07/30 23:04:59 - mmengine - INFO - Epoch(train) [42][ 400/1879]  base_lr: 4.5590e-07 lr: 4.5590e-07  eta: 2:03:01  time: 0.4701  data_time: 0.1527  memory: 8783  loss: 0.7141  sim_loss_v2t: 0.3576  sim_loss_t2v: 0.3565
2023/07/30 23:06:01 - mmengine - INFO - Epoch(train) [42][ 500/1879]  base_lr: 4.5056e-07 lr: 4.5056e-07  eta: 2:02:20  time: 0.5878  data_time: 0.0371  memory: 8783  loss: 0.6549  sim_loss_v2t: 0.3239  sim_loss_t2v: 0.3311
2023/07/30 23:07:01 - mmengine - INFO - Epoch(train) [42][ 600/1879]  base_lr: 4.4526e-07 lr: 4.4526e-07  eta: 2:01:38  time: 0.6537  data_time: 0.0374  memory: 8783  loss: 0.6560  sim_loss_v2t: 0.3245  sim_loss_t2v: 0.3315
2023/07/30 23:08:00 - mmengine - INFO - Epoch(train) [42][ 700/1879]  base_lr: 4.3998e-07 lr: 4.3998e-07  eta: 2:00:57  time: 0.5530  data_time: 0.0314  memory: 8783  loss: 0.6516  sim_loss_v2t: 0.3254  sim_loss_t2v: 0.3262
2023/07/30 23:08:57 - mmengine - INFO - Epoch(train) [42][ 800/1879]  base_lr: 4.3473e-07 lr: 4.3473e-07  eta: 2:00:14  time: 0.5043  data_time: 0.0259  memory: 8783  loss: 0.6887  sim_loss_v2t: 0.3416  sim_loss_t2v: 0.3471
2023/07/30 23:09:57 - mmengine - INFO - Epoch(train) [42][ 900/1879]  base_lr: 4.2951e-07 lr: 4.2951e-07  eta: 1:59:33  time: 0.6669  data_time: 0.0386  memory: 8783  loss: 0.6767  sim_loss_v2t: 0.3404  sim_loss_t2v: 0.3363
2023/07/30 23:10:34 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 23:10:55 - mmengine - INFO - Epoch(train) [42][1000/1879]  base_lr: 4.2432e-07 lr: 4.2432e-07  eta: 1:58:51  time: 0.5520  data_time: 0.0369  memory: 8783  loss: 0.6215  sim_loss_v2t: 0.3057  sim_loss_t2v: 0.3158
2023/07/30 23:11:54 - mmengine - INFO - Epoch(train) [42][1100/1879]  base_lr: 4.1916e-07 lr: 4.1916e-07  eta: 1:58:09  time: 0.5340  data_time: 0.0346  memory: 8783  loss: 0.6602  sim_loss_v2t: 0.3283  sim_loss_t2v: 0.3319
2023/07/30 23:12:57 - mmengine - INFO - Epoch(train) [42][1200/1879]  base_lr: 4.1402e-07 lr: 4.1402e-07  eta: 1:57:27  time: 0.7487  data_time: 0.0340  memory: 8783  loss: 0.6568  sim_loss_v2t: 0.3244  sim_loss_t2v: 0.3323
2023/07/30 23:13:55 - mmengine - INFO - Epoch(train) [42][1300/1879]  base_lr: 4.0892e-07 lr: 4.0892e-07  eta: 1:56:45  time: 0.5745  data_time: 0.0427  memory: 8783  loss: 0.6353  sim_loss_v2t: 0.3142  sim_loss_t2v: 0.3211
2023/07/30 23:14:51 - mmengine - INFO - Epoch(train) [42][1400/1879]  base_lr: 4.0384e-07 lr: 4.0384e-07  eta: 1:56:02  time: 0.4903  data_time: 0.0368  memory: 8783  loss: 0.6459  sim_loss_v2t: 0.3200  sim_loss_t2v: 0.3260
2023/07/30 23:15:53 - mmengine - INFO - Epoch(train) [42][1500/1879]  base_lr: 3.9879e-07 lr: 3.9879e-07  eta: 1:55:21  time: 0.6124  data_time: 0.0342  memory: 8783  loss: 0.6401  sim_loss_v2t: 0.3169  sim_loss_t2v: 0.3232
2023/07/30 23:16:51 - mmengine - INFO - Epoch(train) [42][1600/1879]  base_lr: 3.9378e-07 lr: 3.9378e-07  eta: 1:54:38  time: 0.5101  data_time: 0.0425  memory: 8783  loss: 0.6328  sim_loss_v2t: 0.3140  sim_loss_t2v: 0.3188
2023/07/30 23:17:50 - mmengine - INFO - Epoch(train) [42][1700/1879]  base_lr: 3.8879e-07 lr: 3.8879e-07  eta: 1:53:56  time: 0.6991  data_time: 0.0330  memory: 8783  loss: 0.6700  sim_loss_v2t: 0.3262  sim_loss_t2v: 0.3438
2023/07/30 23:18:48 - mmengine - INFO - Epoch(train) [42][1800/1879]  base_lr: 3.8383e-07 lr: 3.8383e-07  eta: 1:53:14  time: 0.5567  data_time: 0.0569  memory: 8783  loss: 0.6734  sim_loss_v2t: 0.3300  sim_loss_t2v: 0.3434
2023/07/30 23:19:29 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 23:19:29 - mmengine - INFO - Epoch(train) [42][1879/1879]  base_lr: 3.7993e-07 lr: 3.7993e-07  eta: 1:52:39  time: 0.3300  data_time: 0.0171  memory: 8783  loss: 0.6354  sim_loss_v2t: 0.3152  sim_loss_t2v: 0.3203
2023/07/30 23:19:29 - mmengine - INFO - Saving checkpoint at 42 epochs
2023/07/30 23:21:57 - mmengine - INFO - Epoch(val) [42][100/155]    eta: 0:01:07  time: 1.1833  data_time: 0.0710  memory: 18758  
2023/07/30 23:23:02 - mmengine - INFO - Epoch(val) [42][155/155]    acc/top1: 0.7729  acc/top5: 0.9321  acc/mean1: 0.7729  data_time: 0.0849  time: 1.1962
2023/07/30 23:24:01 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 23:24:13 - mmengine - INFO - Epoch(train) [43][ 100/1879]  base_lr: 3.7502e-07 lr: 3.7502e-07  eta: 1:51:59  time: 0.6367  data_time: 0.0472  memory: 18758  loss: 0.6182  sim_loss_v2t: 0.3076  sim_loss_t2v: 0.3106
2023/07/30 23:25:11 - mmengine - INFO - Epoch(train) [43][ 200/1879]  base_lr: 3.7014e-07 lr: 3.7014e-07  eta: 1:51:17  time: 0.6022  data_time: 0.0399  memory: 8783  loss: 0.6906  sim_loss_v2t: 0.3417  sim_loss_t2v: 0.3490
2023/07/30 23:26:08 - mmengine - INFO - Epoch(train) [43][ 300/1879]  base_lr: 3.6529e-07 lr: 3.6529e-07  eta: 1:50:34  time: 0.5271  data_time: 0.0713  memory: 8783  loss: 0.6780  sim_loss_v2t: 0.3323  sim_loss_t2v: 0.3456
2023/07/30 23:27:08 - mmengine - INFO - Epoch(train) [43][ 400/1879]  base_lr: 3.6047e-07 lr: 3.6047e-07  eta: 1:49:51  time: 0.5298  data_time: 0.1217  memory: 8783  loss: 0.6707  sim_loss_v2t: 0.3289  sim_loss_t2v: 0.3418
2023/07/30 23:28:08 - mmengine - INFO - Epoch(train) [43][ 500/1879]  base_lr: 3.5568e-07 lr: 3.5568e-07  eta: 1:49:09  time: 0.5917  data_time: 0.0406  memory: 8783  loss: 0.6350  sim_loss_v2t: 0.3208  sim_loss_t2v: 0.3141
2023/07/30 23:29:08 - mmengine - INFO - Epoch(train) [43][ 600/1879]  base_lr: 3.5092e-07 lr: 3.5092e-07  eta: 1:48:27  time: 0.4699  data_time: 0.0369  memory: 8783  loss: 0.6477  sim_loss_v2t: 0.3237  sim_loss_t2v: 0.3241
2023/07/30 23:30:06 - mmengine - INFO - Epoch(train) [43][ 700/1879]  base_lr: 3.4619e-07 lr: 3.4619e-07  eta: 1:47:44  time: 0.6083  data_time: 0.0420  memory: 8783  loss: 0.6279  sim_loss_v2t: 0.3097  sim_loss_t2v: 0.3182
2023/07/30 23:31:04 - mmengine - INFO - Epoch(train) [43][ 800/1879]  base_lr: 3.4149e-07 lr: 3.4149e-07  eta: 1:47:01  time: 0.5567  data_time: 0.0591  memory: 8783  loss: 0.6536  sim_loss_v2t: 0.3272  sim_loss_t2v: 0.3265
2023/07/30 23:32:06 - mmengine - INFO - Epoch(train) [43][ 900/1879]  base_lr: 3.3682e-07 lr: 3.3682e-07  eta: 1:46:19  time: 0.6313  data_time: 0.0354  memory: 8783  loss: 0.6008  sim_loss_v2t: 0.3012  sim_loss_t2v: 0.2996
2023/07/30 23:33:05 - mmengine - INFO - Epoch(train) [43][1000/1879]  base_lr: 3.3218e-07 lr: 3.3218e-07  eta: 1:45:36  time: 0.6295  data_time: 0.0259  memory: 8783  loss: 0.6909  sim_loss_v2t: 0.3426  sim_loss_t2v: 0.3483
2023/07/30 23:33:54 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 23:34:05 - mmengine - INFO - Epoch(train) [43][1100/1879]  base_lr: 3.2757e-07 lr: 3.2757e-07  eta: 1:44:54  time: 0.7539  data_time: 0.0395  memory: 8783  loss: 0.6963  sim_loss_v2t: 0.3445  sim_loss_t2v: 0.3518
2023/07/30 23:35:04 - mmengine - INFO - Epoch(train) [43][1200/1879]  base_lr: 3.2299e-07 lr: 3.2299e-07  eta: 1:44:11  time: 0.5619  data_time: 0.0367  memory: 8783  loss: 0.6749  sim_loss_v2t: 0.3374  sim_loss_t2v: 0.3374
2023/07/30 23:36:01 - mmengine - INFO - Epoch(train) [43][1300/1879]  base_lr: 3.1843e-07 lr: 3.1843e-07  eta: 1:43:28  time: 0.5206  data_time: 0.0360  memory: 8783  loss: 0.6970  sim_loss_v2t: 0.3423  sim_loss_t2v: 0.3548
2023/07/30 23:37:00 - mmengine - INFO - Epoch(train) [43][1400/1879]  base_lr: 3.1391e-07 lr: 3.1391e-07  eta: 1:42:45  time: 0.5566  data_time: 0.0384  memory: 8783  loss: 0.6649  sim_loss_v2t: 0.3341  sim_loss_t2v: 0.3308
2023/07/30 23:38:01 - mmengine - INFO - Epoch(train) [43][1500/1879]  base_lr: 3.0942e-07 lr: 3.0942e-07  eta: 1:42:02  time: 0.7406  data_time: 0.0411  memory: 8783  loss: 0.6824  sim_loss_v2t: 0.3361  sim_loss_t2v: 0.3462
2023/07/30 23:38:56 - mmengine - INFO - Epoch(train) [43][1600/1879]  base_lr: 3.0496e-07 lr: 3.0496e-07  eta: 1:41:19  time: 0.5179  data_time: 0.0330  memory: 8783  loss: 0.6791  sim_loss_v2t: 0.3366  sim_loss_t2v: 0.3426
2023/07/30 23:39:58 - mmengine - INFO - Epoch(train) [43][1700/1879]  base_lr: 3.0053e-07 lr: 3.0053e-07  eta: 1:40:36  time: 0.5088  data_time: 0.0364  memory: 8783  loss: 0.6521  sim_loss_v2t: 0.3248  sim_loss_t2v: 0.3273
2023/07/30 23:40:55 - mmengine - INFO - Epoch(train) [43][1800/1879]  base_lr: 2.9613e-07 lr: 2.9613e-07  eta: 1:39:53  time: 0.4648  data_time: 0.0344  memory: 8783  loss: 0.6676  sim_loss_v2t: 0.3346  sim_loss_t2v: 0.3330
2023/07/30 23:41:36 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 23:41:36 - mmengine - INFO - Epoch(train) [43][1879/1879]  base_lr: 2.9267e-07 lr: 2.9267e-07  eta: 1:39:18  time: 0.2533  data_time: 0.0147  memory: 8783  loss: 0.6254  sim_loss_v2t: 0.3137  sim_loss_t2v: 0.3117
2023/07/30 23:41:36 - mmengine - INFO - Saving checkpoint at 43 epochs
2023/07/30 23:44:03 - mmengine - INFO - Epoch(val) [43][100/155]    eta: 0:01:08  time: 1.2055  data_time: 0.0916  memory: 18758  
2023/07/30 23:45:07 - mmengine - INFO - Epoch(val) [43][155/155]    acc/top1: 0.7747  acc/top5: 0.9321  acc/mean1: 0.7747  data_time: 0.0934  time: 1.2051
2023/07/30 23:45:07 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_41.pth is removed
2023/07/30 23:45:15 - mmengine - INFO - The best checkpoint with 0.7747 acc/top1 at 43 epoch is saved to best_acc_top1_epoch_43.pth.
2023/07/30 23:46:32 - mmengine - INFO - Epoch(train) [44][ 100/1879]  base_lr: 2.8833e-07 lr: 2.8833e-07  eta: 1:38:35  time: 0.7196  data_time: 0.3845  memory: 18758  loss: 0.6460  sim_loss_v2t: 0.3200  sim_loss_t2v: 0.3260
2023/07/30 23:47:35 - mmengine - INFO - Epoch(train) [44][ 200/1879]  base_lr: 2.8401e-07 lr: 2.8401e-07  eta: 1:37:52  time: 0.7923  data_time: 0.4706  memory: 8783  loss: 0.6906  sim_loss_v2t: 0.3432  sim_loss_t2v: 0.3474
2023/07/30 23:47:36 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 23:48:30 - mmengine - INFO - Epoch(train) [44][ 300/1879]  base_lr: 2.7973e-07 lr: 2.7973e-07  eta: 1:37:09  time: 0.5295  data_time: 0.0720  memory: 8783  loss: 0.6484  sim_loss_v2t: 0.3235  sim_loss_t2v: 0.3249
2023/07/30 23:49:29 - mmengine - INFO - Epoch(train) [44][ 400/1879]  base_lr: 2.7547e-07 lr: 2.7547e-07  eta: 1:36:25  time: 0.6009  data_time: 0.2679  memory: 8783  loss: 0.6885  sim_loss_v2t: 0.3435  sim_loss_t2v: 0.3450
2023/07/30 23:50:28 - mmengine - INFO - Epoch(train) [44][ 500/1879]  base_lr: 2.7125e-07 lr: 2.7125e-07  eta: 1:35:42  time: 0.5702  data_time: 0.0504  memory: 8783  loss: 0.6166  sim_loss_v2t: 0.3065  sim_loss_t2v: 0.3101
2023/07/30 23:51:30 - mmengine - INFO - Epoch(train) [44][ 600/1879]  base_lr: 2.6706e-07 lr: 2.6706e-07  eta: 1:34:59  time: 0.5693  data_time: 0.0405  memory: 8783  loss: 0.5997  sim_loss_v2t: 0.3028  sim_loss_t2v: 0.2969
2023/07/30 23:52:26 - mmengine - INFO - Epoch(train) [44][ 700/1879]  base_lr: 2.6290e-07 lr: 2.6290e-07  eta: 1:34:15  time: 0.5234  data_time: 0.0317  memory: 8783  loss: 0.6695  sim_loss_v2t: 0.3299  sim_loss_t2v: 0.3395
2023/07/30 23:53:24 - mmengine - INFO - Epoch(train) [44][ 800/1879]  base_lr: 2.5877e-07 lr: 2.5877e-07  eta: 1:33:32  time: 0.5343  data_time: 0.0364  memory: 8783  loss: 0.6485  sim_loss_v2t: 0.3196  sim_loss_t2v: 0.3289
2023/07/30 23:54:23 - mmengine - INFO - Epoch(train) [44][ 900/1879]  base_lr: 2.5467e-07 lr: 2.5467e-07  eta: 1:32:49  time: 0.6830  data_time: 0.0404  memory: 8783  loss: 0.6843  sim_loss_v2t: 0.3440  sim_loss_t2v: 0.3403
2023/07/30 23:55:22 - mmengine - INFO - Epoch(train) [44][1000/1879]  base_lr: 2.5060e-07 lr: 2.5060e-07  eta: 1:32:05  time: 0.5909  data_time: 0.0408  memory: 8783  loss: 0.7146  sim_loss_v2t: 0.3573  sim_loss_t2v: 0.3572
2023/07/30 23:56:23 - mmengine - INFO - Epoch(train) [44][1100/1879]  base_lr: 2.4656e-07 lr: 2.4656e-07  eta: 1:31:22  time: 0.6201  data_time: 0.0309  memory: 8783  loss: 0.6419  sim_loss_v2t: 0.3120  sim_loss_t2v: 0.3299
2023/07/30 23:57:22 - mmengine - INFO - Epoch(train) [44][1200/1879]  base_lr: 2.4255e-07 lr: 2.4255e-07  eta: 1:30:38  time: 0.5657  data_time: 0.0342  memory: 8783  loss: 0.6363  sim_loss_v2t: 0.3122  sim_loss_t2v: 0.3241
2023/07/30 23:57:23 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/30 23:58:24 - mmengine - INFO - Epoch(train) [44][1300/1879]  base_lr: 2.3858e-07 lr: 2.3858e-07  eta: 1:29:55  time: 0.5586  data_time: 0.0397  memory: 8783  loss: 0.6268  sim_loss_v2t: 0.3116  sim_loss_t2v: 0.3151
2023/07/30 23:59:20 - mmengine - INFO - Epoch(train) [44][1400/1879]  base_lr: 2.3463e-07 lr: 2.3463e-07  eta: 1:29:11  time: 0.5307  data_time: 0.0375  memory: 8783  loss: 0.6645  sim_loss_v2t: 0.3297  sim_loss_t2v: 0.3348
2023/07/31 00:00:17 - mmengine - INFO - Epoch(train) [44][1500/1879]  base_lr: 2.3072e-07 lr: 2.3072e-07  eta: 1:28:27  time: 0.4981  data_time: 0.0317  memory: 8783  loss: 0.6677  sim_loss_v2t: 0.3303  sim_loss_t2v: 0.3374
2023/07/31 00:01:16 - mmengine - INFO - Epoch(train) [44][1600/1879]  base_lr: 2.2684e-07 lr: 2.2684e-07  eta: 1:27:44  time: 0.6350  data_time: 0.1390  memory: 8783  loss: 0.6136  sim_loss_v2t: 0.3007  sim_loss_t2v: 0.3129
2023/07/31 00:02:16 - mmengine - INFO - Epoch(train) [44][1700/1879]  base_lr: 2.2299e-07 lr: 2.2299e-07  eta: 1:27:00  time: 0.5660  data_time: 0.0403  memory: 8783  loss: 0.6606  sim_loss_v2t: 0.3283  sim_loss_t2v: 0.3323
2023/07/31 00:03:14 - mmengine - INFO - Epoch(train) [44][1800/1879]  base_lr: 2.1917e-07 lr: 2.1917e-07  eta: 1:26:16  time: 0.5313  data_time: 0.0370  memory: 8783  loss: 0.6610  sim_loss_v2t: 0.3345  sim_loss_t2v: 0.3265
2023/07/31 00:03:54 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 00:03:54 - mmengine - INFO - Epoch(train) [44][1879/1879]  base_lr: 2.1617e-07 lr: 2.1617e-07  eta: 1:25:41  time: 0.2016  data_time: 0.0124  memory: 8783  loss: 0.6268  sim_loss_v2t: 0.3046  sim_loss_t2v: 0.3222
2023/07/31 00:03:54 - mmengine - INFO - Saving checkpoint at 44 epochs
2023/07/31 00:06:19 - mmengine - INFO - Epoch(val) [44][100/155]    eta: 0:01:08  time: 1.2020  data_time: 0.0898  memory: 18758  
2023/07/31 00:07:24 - mmengine - INFO - Epoch(val) [44][155/155]    acc/top1: 0.7753  acc/top5: 0.9322  acc/mean1: 0.7752  data_time: 0.0979  time: 1.2097
2023/07/31 00:07:24 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/daiwenxun/mmlab/mmaction2/projects/actionclip/work_dirs/actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb/best_acc_top1_epoch_43.pth is removed
2023/07/31 00:07:32 - mmengine - INFO - The best checkpoint with 0.7753 acc/top1 at 44 epoch is saved to best_acc_top1_epoch_44.pth.
2023/07/31 00:08:55 - mmengine - INFO - Epoch(train) [45][ 100/1879]  base_lr: 2.1241e-07 lr: 2.1241e-07  eta: 1:24:58  time: 0.6043  data_time: 0.2717  memory: 18758  loss: 0.6760  sim_loss_v2t: 0.3378  sim_loss_t2v: 0.3383
2023/07/31 00:09:52 - mmengine - INFO - Epoch(train) [45][ 200/1879]  base_lr: 2.0868e-07 lr: 2.0868e-07  eta: 1:24:14  time: 0.4272  data_time: 0.0447  memory: 8783  loss: 0.6578  sim_loss_v2t: 0.3230  sim_loss_t2v: 0.3348
2023/07/31 00:10:54 - mmengine - INFO - Epoch(train) [45][ 300/1879]  base_lr: 2.0498e-07 lr: 2.0498e-07  eta: 1:23:30  time: 0.7591  data_time: 0.0482  memory: 8783  loss: 0.6194  sim_loss_v2t: 0.3085  sim_loss_t2v: 0.3109
2023/07/31 00:11:06 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 00:11:53 - mmengine - INFO - Epoch(train) [45][ 400/1879]  base_lr: 2.0131e-07 lr: 2.0131e-07  eta: 1:22:46  time: 0.4728  data_time: 0.0344  memory: 8783  loss: 0.6766  sim_loss_v2t: 0.3355  sim_loss_t2v: 0.3410
2023/07/31 00:12:51 - mmengine - INFO - Epoch(train) [45][ 500/1879]  base_lr: 1.9768e-07 lr: 1.9768e-07  eta: 1:22:02  time: 0.5406  data_time: 0.0324  memory: 8783  loss: 0.6010  sim_loss_v2t: 0.2983  sim_loss_t2v: 0.3028
2023/07/31 00:13:48 - mmengine - INFO - Epoch(train) [45][ 600/1879]  base_lr: 1.9407e-07 lr: 1.9407e-07  eta: 1:21:18  time: 0.4930  data_time: 0.0368  memory: 8783  loss: 0.6576  sim_loss_v2t: 0.3264  sim_loss_t2v: 0.3312
2023/07/31 00:14:50 - mmengine - INFO - Epoch(train) [45][ 700/1879]  base_lr: 1.9050e-07 lr: 1.9050e-07  eta: 1:20:34  time: 0.7097  data_time: 0.0456  memory: 8783  loss: 0.6289  sim_loss_v2t: 0.3097  sim_loss_t2v: 0.3192
2023/07/31 00:15:48 - mmengine - INFO - Epoch(train) [45][ 800/1879]  base_lr: 1.8696e-07 lr: 1.8696e-07  eta: 1:19:50  time: 0.6201  data_time: 0.0346  memory: 8783  loss: 0.6349  sim_loss_v2t: 0.3191  sim_loss_t2v: 0.3158
2023/07/31 00:16:46 - mmengine - INFO - Epoch(train) [45][ 900/1879]  base_lr: 1.8345e-07 lr: 1.8345e-07  eta: 1:19:06  time: 0.5072  data_time: 0.0389  memory: 8783  loss: 0.6349  sim_loss_v2t: 0.3161  sim_loss_t2v: 0.3188
2023/07/31 00:17:47 - mmengine - INFO - Epoch(train) [45][1000/1879]  base_lr: 1.7998e-07 lr: 1.7998e-07  eta: 1:18:22  time: 0.7243  data_time: 0.0411  memory: 8783  loss: 0.6310  sim_loss_v2t: 0.3121  sim_loss_t2v: 0.3189
2023/07/31 00:18:47 - mmengine - INFO - Epoch(train) [45][1100/1879]  base_lr: 1.7653e-07 lr: 1.7653e-07  eta: 1:17:38  time: 0.5537  data_time: 0.0371  memory: 8783  loss: 0.6556  sim_loss_v2t: 0.3244  sim_loss_t2v: 0.3311
2023/07/31 00:19:45 - mmengine - INFO - Epoch(train) [45][1200/1879]  base_lr: 1.7312e-07 lr: 1.7312e-07  eta: 1:16:54  time: 0.5197  data_time: 0.0647  memory: 8783  loss: 0.6130  sim_loss_v2t: 0.3054  sim_loss_t2v: 0.3076
2023/07/31 00:20:43 - mmengine - INFO - Epoch(train) [45][1300/1879]  base_lr: 1.6974e-07 lr: 1.6974e-07  eta: 1:16:09  time: 0.5180  data_time: 0.0306  memory: 8783  loss: 0.6282  sim_loss_v2t: 0.3111  sim_loss_t2v: 0.3171
2023/07/31 00:20:58 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 00:21:43 - mmengine - INFO - Epoch(train) [45][1400/1879]  base_lr: 1.6639e-07 lr: 1.6639e-07  eta: 1:15:25  time: 0.5976  data_time: 0.0304  memory: 8783  loss: 0.6889  sim_loss_v2t: 0.3385  sim_loss_t2v: 0.3504
2023/07/31 00:22:42 - mmengine - INFO - Epoch(train) [45][1500/1879]  base_lr: 1.6307e-07 lr: 1.6307e-07  eta: 1:14:41  time: 0.6526  data_time: 0.0332  memory: 8783  loss: 0.6551  sim_loss_v2t: 0.3236  sim_loss_t2v: 0.3315
2023/07/31 00:23:42 - mmengine - INFO - Epoch(train) [45][1600/1879]  base_lr: 1.5979e-07 lr: 1.5979e-07  eta: 1:13:56  time: 0.7163  data_time: 0.0450  memory: 8783  loss: 0.6425  sim_loss_v2t: 0.3204  sim_loss_t2v: 0.3221
2023/07/31 00:24:41 - mmengine - INFO - Epoch(train) [45][1700/1879]  base_lr: 1.5654e-07 lr: 1.5654e-07  eta: 1:13:12  time: 0.6943  data_time: 0.0362  memory: 8783  loss: 0.6305  sim_loss_v2t: 0.3145  sim_loss_t2v: 0.3161
2023/07/31 00:25:39 - mmengine - INFO - Epoch(train) [45][1800/1879]  base_lr: 1.5332e-07 lr: 1.5332e-07  eta: 1:12:28  time: 0.6354  data_time: 0.0321  memory: 8783  loss: 0.6424  sim_loss_v2t: 0.3190  sim_loss_t2v: 0.3233
2023/07/31 00:26:17 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 00:26:17 - mmengine - INFO - Epoch(train) [45][1879/1879]  base_lr: 1.5080e-07 lr: 1.5080e-07  eta: 1:11:51  time: 0.2442  data_time: 0.0224  memory: 8783  loss: 0.6361  sim_loss_v2t: 0.3120  sim_loss_t2v: 0.3241
2023/07/31 00:26:17 - mmengine - INFO - Saving checkpoint at 45 epochs
2023/07/31 00:28:41 - mmengine - INFO - Epoch(val) [45][100/155]    eta: 0:01:08  time: 1.1974  data_time: 0.0786  memory: 18758  
2023/07/31 00:29:45 - mmengine - INFO - Epoch(val) [45][155/155]    acc/top1: 0.7746  acc/top5: 0.9334  acc/mean1: 0.7745  data_time: 0.0970  time: 1.2092
2023/07/31 00:30:57 - mmengine - INFO - Epoch(train) [46][ 100/1879]  base_lr: 1.4764e-07 lr: 1.4764e-07  eta: 1:11:08  time: 0.7716  data_time: 0.0458  memory: 18758  loss: 0.6522  sim_loss_v2t: 0.3262  sim_loss_t2v: 0.3260
2023/07/31 00:31:56 - mmengine - INFO - Epoch(train) [46][ 200/1879]  base_lr: 1.4451e-07 lr: 1.4451e-07  eta: 1:10:24  time: 0.5748  data_time: 0.2101  memory: 8783  loss: 0.6446  sim_loss_v2t: 0.3218  sim_loss_t2v: 0.3229
2023/07/31 00:32:55 - mmengine - INFO - Epoch(train) [46][ 300/1879]  base_lr: 1.4141e-07 lr: 1.4141e-07  eta: 1:09:39  time: 0.6252  data_time: 0.1735  memory: 8783  loss: 0.6669  sim_loss_v2t: 0.3279  sim_loss_t2v: 0.3390
2023/07/31 00:33:55 - mmengine - INFO - Epoch(train) [46][ 400/1879]  base_lr: 1.3835e-07 lr: 1.3835e-07  eta: 1:08:55  time: 0.6376  data_time: 0.3337  memory: 8783  loss: 0.6565  sim_loss_v2t: 0.3284  sim_loss_t2v: 0.3281
2023/07/31 00:34:21 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 00:34:54 - mmengine - INFO - Epoch(train) [46][ 500/1879]  base_lr: 1.3532e-07 lr: 1.3532e-07  eta: 1:08:10  time: 0.6451  data_time: 0.0708  memory: 8783  loss: 0.6623  sim_loss_v2t: 0.3292  sim_loss_t2v: 0.3331
2023/07/31 00:35:53 - mmengine - INFO - Epoch(train) [46][ 600/1879]  base_lr: 1.3232e-07 lr: 1.3232e-07  eta: 1:07:26  time: 0.4839  data_time: 0.0439  memory: 8783  loss: 0.6391  sim_loss_v2t: 0.3168  sim_loss_t2v: 0.3223
2023/07/31 00:36:53 - mmengine - INFO - Epoch(train) [46][ 700/1879]  base_lr: 1.2936e-07 lr: 1.2936e-07  eta: 1:06:41  time: 0.5744  data_time: 0.0366  memory: 8783  loss: 0.6417  sim_loss_v2t: 0.3167  sim_loss_t2v: 0.3250
2023/07/31 00:37:49 - mmengine - INFO - Epoch(train) [46][ 800/1879]  base_lr: 1.2642e-07 lr: 1.2642e-07  eta: 1:05:56  time: 0.5184  data_time: 0.0278  memory: 8783  loss: 0.6468  sim_loss_v2t: 0.3230  sim_loss_t2v: 0.3238
2023/07/31 00:38:48 - mmengine - INFO - Epoch(train) [46][ 900/1879]  base_lr: 1.2352e-07 lr: 1.2352e-07  eta: 1:05:11  time: 0.6081  data_time: 0.0538  memory: 8783  loss: 0.5947  sim_loss_v2t: 0.2963  sim_loss_t2v: 0.2984
2023/07/31 00:39:46 - mmengine - INFO - Epoch(train) [46][1000/1879]  base_lr: 1.2066e-07 lr: 1.2066e-07  eta: 1:04:26  time: 0.5398  data_time: 0.0463  memory: 8783  loss: 0.6075  sim_loss_v2t: 0.3032  sim_loss_t2v: 0.3043
2023/07/31 00:40:45 - mmengine - INFO - Epoch(train) [46][1100/1879]  base_lr: 1.1782e-07 lr: 1.1782e-07  eta: 1:03:41  time: 0.4825  data_time: 0.0372  memory: 8783  loss: 0.6325  sim_loss_v2t: 0.3132  sim_loss_t2v: 0.3193
2023/07/31 00:41:45 - mmengine - INFO - Epoch(train) [46][1200/1879]  base_lr: 1.1502e-07 lr: 1.1502e-07  eta: 1:02:57  time: 0.5406  data_time: 0.0395  memory: 8783  loss: 0.6459  sim_loss_v2t: 0.3229  sim_loss_t2v: 0.3229
2023/07/31 00:42:45 - mmengine - INFO - Epoch(train) [46][1300/1879]  base_lr: 1.1225e-07 lr: 1.1225e-07  eta: 1:02:12  time: 0.5854  data_time: 0.0391  memory: 8783  loss: 0.6226  sim_loss_v2t: 0.3126  sim_loss_t2v: 0.3100
2023/07/31 00:43:43 - mmengine - INFO - Epoch(train) [46][1400/1879]  base_lr: 1.0952e-07 lr: 1.0952e-07  eta: 1:01:27  time: 0.5173  data_time: 0.0363  memory: 8783  loss: 0.6547  sim_loss_v2t: 0.3257  sim_loss_t2v: 0.3290
2023/07/31 00:44:10 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 00:44:43 - mmengine - INFO - Epoch(train) [46][1500/1879]  base_lr: 1.0681e-07 lr: 1.0681e-07  eta: 1:00:42  time: 0.5645  data_time: 0.1805  memory: 8783  loss: 0.6491  sim_loss_v2t: 0.3231  sim_loss_t2v: 0.3260
2023/07/31 00:45:41 - mmengine - INFO - Epoch(train) [46][1600/1879]  base_lr: 1.0414e-07 lr: 1.0414e-07  eta: 0:59:57  time: 0.5501  data_time: 0.1361  memory: 8783  loss: 0.6267  sim_loss_v2t: 0.3124  sim_loss_t2v: 0.3143
2023/07/31 00:46:39 - mmengine - INFO - Epoch(train) [46][1700/1879]  base_lr: 1.0151e-07 lr: 1.0151e-07  eta: 0:59:12  time: 0.5263  data_time: 0.0921  memory: 8783  loss: 0.6513  sim_loss_v2t: 0.3226  sim_loss_t2v: 0.3286
2023/07/31 00:47:39 - mmengine - INFO - Epoch(train) [46][1800/1879]  base_lr: 9.8905e-08 lr: 9.8905e-08  eta: 0:58:27  time: 0.5467  data_time: 0.0380  memory: 8783  loss: 0.6321  sim_loss_v2t: 0.3094  sim_loss_t2v: 0.3227
2023/07/31 00:48:17 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 00:48:17 - mmengine - INFO - Epoch(train) [46][1879/1879]  base_lr: 9.6871e-08 lr: 9.6871e-08  eta: 0:57:51  time: 0.2218  data_time: 0.0195  memory: 8783  loss: 0.6454  sim_loss_v2t: 0.3192  sim_loss_t2v: 0.3262
2023/07/31 00:48:17 - mmengine - INFO - Saving checkpoint at 46 epochs
2023/07/31 00:50:46 - mmengine - INFO - Epoch(val) [46][100/155]    eta: 0:01:07  time: 1.1934  data_time: 0.0815  memory: 18758  
2023/07/31 00:51:50 - mmengine - INFO - Epoch(val) [46][155/155]    acc/top1: 0.7744  acc/top5: 0.9324  acc/mean1: 0.7744  data_time: 0.0867  time: 1.1977
2023/07/31 00:53:00 - mmengine - INFO - Epoch(train) [47][ 100/1879]  base_lr: 9.4327e-08 lr: 9.4327e-08  eta: 0:57:06  time: 0.6841  data_time: 0.0911  memory: 18758  loss: 0.6583  sim_loss_v2t: 0.3226  sim_loss_t2v: 0.3358
2023/07/31 00:53:59 - mmengine - INFO - Epoch(train) [47][ 200/1879]  base_lr: 9.1817e-08 lr: 9.1817e-08  eta: 0:56:21  time: 0.5277  data_time: 0.0447  memory: 8783  loss: 0.6692  sim_loss_v2t: 0.3356  sim_loss_t2v: 0.3336
2023/07/31 00:55:00 - mmengine - INFO - Epoch(train) [47][ 300/1879]  base_lr: 8.9339e-08 lr: 8.9339e-08  eta: 0:55:36  time: 0.5353  data_time: 0.0290  memory: 8783  loss: 0.6711  sim_loss_v2t: 0.3297  sim_loss_t2v: 0.3415
2023/07/31 00:56:02 - mmengine - INFO - Epoch(train) [47][ 400/1879]  base_lr: 8.6895e-08 lr: 8.6895e-08  eta: 0:54:51  time: 0.7311  data_time: 0.0341  memory: 8783  loss: 0.6399  sim_loss_v2t: 0.3156  sim_loss_t2v: 0.3243
2023/07/31 00:57:00 - mmengine - INFO - Epoch(train) [47][ 500/1879]  base_lr: 8.4484e-08 lr: 8.4484e-08  eta: 0:54:06  time: 0.5155  data_time: 0.0472  memory: 8783  loss: 0.6241  sim_loss_v2t: 0.3119  sim_loss_t2v: 0.3122
2023/07/31 00:57:38 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 00:57:58 - mmengine - INFO - Epoch(train) [47][ 600/1879]  base_lr: 8.2106e-08 lr: 8.2106e-08  eta: 0:53:21  time: 0.5575  data_time: 0.0503  memory: 8783  loss: 0.6585  sim_loss_v2t: 0.3262  sim_loss_t2v: 0.3323
2023/07/31 00:58:58 - mmengine - INFO - Epoch(train) [47][ 700/1879]  base_lr: 7.9762e-08 lr: 7.9762e-08  eta: 0:52:35  time: 0.6168  data_time: 0.0405  memory: 8783  loss: 0.6419  sim_loss_v2t: 0.3175  sim_loss_t2v: 0.3244
2023/07/31 00:59:57 - mmengine - INFO - Epoch(train) [47][ 800/1879]  base_lr: 7.7451e-08 lr: 7.7451e-08  eta: 0:51:50  time: 0.6719  data_time: 0.0358  memory: 8783  loss: 0.6135  sim_loss_v2t: 0.3092  sim_loss_t2v: 0.3043
2023/07/31 01:00:57 - mmengine - INFO - Epoch(train) [47][ 900/1879]  base_lr: 7.5174e-08 lr: 7.5174e-08  eta: 0:51:05  time: 0.5857  data_time: 0.1029  memory: 8783  loss: 0.6285  sim_loss_v2t: 0.3159  sim_loss_t2v: 0.3126
2023/07/31 01:01:55 - mmengine - INFO - Epoch(train) [47][1000/1879]  base_lr: 7.2930e-08 lr: 7.2930e-08  eta: 0:50:19  time: 0.5159  data_time: 0.1505  memory: 8783  loss: 0.6411  sim_loss_v2t: 0.3158  sim_loss_t2v: 0.3253
2023/07/31 01:02:54 - mmengine - INFO - Epoch(train) [47][1100/1879]  base_lr: 7.0719e-08 lr: 7.0719e-08  eta: 0:49:34  time: 0.5540  data_time: 0.0314  memory: 8783  loss: 0.6806  sim_loss_v2t: 0.3380  sim_loss_t2v: 0.3426
2023/07/31 01:03:51 - mmengine - INFO - Epoch(train) [47][1200/1879]  base_lr: 6.8542e-08 lr: 6.8542e-08  eta: 0:48:48  time: 0.5702  data_time: 0.0547  memory: 8783  loss: 0.6167  sim_loss_v2t: 0.3071  sim_loss_t2v: 0.3096
2023/07/31 01:04:55 - mmengine - INFO - Epoch(train) [47][1300/1879]  base_lr: 6.6399e-08 lr: 6.6399e-08  eta: 0:48:03  time: 0.6654  data_time: 0.0383  memory: 8783  loss: 0.6650  sim_loss_v2t: 0.3294  sim_loss_t2v: 0.3356
2023/07/31 01:05:54 - mmengine - INFO - Epoch(train) [47][1400/1879]  base_lr: 6.4289e-08 lr: 6.4289e-08  eta: 0:47:18  time: 0.5858  data_time: 0.0366  memory: 8783  loss: 0.6323  sim_loss_v2t: 0.3146  sim_loss_t2v: 0.3177
2023/07/31 01:06:51 - mmengine - INFO - Epoch(train) [47][1500/1879]  base_lr: 6.2213e-08 lr: 6.2213e-08  eta: 0:46:32  time: 0.5881  data_time: 0.0364  memory: 8783  loss: 0.6596  sim_loss_v2t: 0.3260  sim_loss_t2v: 0.3336
2023/07/31 01:07:30 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 01:07:50 - mmengine - INFO - Epoch(train) [47][1600/1879]  base_lr: 6.0171e-08 lr: 6.0171e-08  eta: 0:45:46  time: 0.5638  data_time: 0.1313  memory: 8783  loss: 0.6629  sim_loss_v2t: 0.3277  sim_loss_t2v: 0.3352
2023/07/31 01:08:50 - mmengine - INFO - Epoch(train) [47][1700/1879]  base_lr: 5.8162e-08 lr: 5.8162e-08  eta: 0:45:01  time: 0.5052  data_time: 0.0336  memory: 8783  loss: 0.6698  sim_loss_v2t: 0.3319  sim_loss_t2v: 0.3379
2023/07/31 01:09:50 - mmengine - INFO - Epoch(train) [47][1800/1879]  base_lr: 5.6187e-08 lr: 5.6187e-08  eta: 0:44:15  time: 0.6522  data_time: 0.0422  memory: 8783  loss: 0.6589  sim_loss_v2t: 0.3271  sim_loss_t2v: 0.3318
2023/07/31 01:10:27 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 01:10:27 - mmengine - INFO - Epoch(train) [47][1879/1879]  base_lr: 5.4650e-08 lr: 5.4650e-08  eta: 0:43:38  time: 0.2518  data_time: 0.0174  memory: 8783  loss: 0.6450  sim_loss_v2t: 0.3230  sim_loss_t2v: 0.3220
2023/07/31 01:10:27 - mmengine - INFO - Saving checkpoint at 47 epochs
2023/07/31 01:12:53 - mmengine - INFO - Epoch(val) [47][100/155]    eta: 0:01:07  time: 1.1902  data_time: 0.0779  memory: 18758  
2023/07/31 01:13:58 - mmengine - INFO - Epoch(val) [47][155/155]    acc/top1: 0.7739  acc/top5: 0.9329  acc/mean1: 0.7739  data_time: 0.0877  time: 1.1997
2023/07/31 01:15:08 - mmengine - INFO - Epoch(train) [48][ 100/1879]  base_lr: 5.2736e-08 lr: 5.2736e-08  eta: 0:42:54  time: 0.7080  data_time: 0.1453  memory: 18758  loss: 0.6449  sim_loss_v2t: 0.3225  sim_loss_t2v: 0.3223
2023/07/31 01:16:08 - mmengine - INFO - Epoch(train) [48][ 200/1879]  base_lr: 5.0855e-08 lr: 5.0855e-08  eta: 0:42:08  time: 0.5529  data_time: 0.0999  memory: 8783  loss: 0.6555  sim_loss_v2t: 0.3277  sim_loss_t2v: 0.3278
2023/07/31 01:17:07 - mmengine - INFO - Epoch(train) [48][ 300/1879]  base_lr: 4.9008e-08 lr: 4.9008e-08  eta: 0:41:22  time: 0.5113  data_time: 0.0373  memory: 8783  loss: 0.6332  sim_loss_v2t: 0.3155  sim_loss_t2v: 0.3177
2023/07/31 01:18:04 - mmengine - INFO - Epoch(train) [48][ 400/1879]  base_lr: 4.7194e-08 lr: 4.7194e-08  eta: 0:40:36  time: 0.4821  data_time: 0.0828  memory: 8783  loss: 0.6394  sim_loss_v2t: 0.3140  sim_loss_t2v: 0.3255
2023/07/31 01:19:04 - mmengine - INFO - Epoch(train) [48][ 500/1879]  base_lr: 4.5415e-08 lr: 4.5415e-08  eta: 0:39:50  time: 0.6062  data_time: 0.0431  memory: 8783  loss: 0.6259  sim_loss_v2t: 0.3098  sim_loss_t2v: 0.3161
2023/07/31 01:20:03 - mmengine - INFO - Epoch(train) [48][ 600/1879]  base_lr: 4.3670e-08 lr: 4.3670e-08  eta: 0:39:05  time: 0.4897  data_time: 0.0468  memory: 8783  loss: 0.6365  sim_loss_v2t: 0.3182  sim_loss_t2v: 0.3183
2023/07/31 01:20:55 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 01:21:03 - mmengine - INFO - Epoch(train) [48][ 700/1879]  base_lr: 4.1958e-08 lr: 4.1958e-08  eta: 0:38:19  time: 0.6755  data_time: 0.0428  memory: 8783  loss: 0.6525  sim_loss_v2t: 0.3246  sim_loss_t2v: 0.3278
2023/07/31 01:22:01 - mmengine - INFO - Epoch(train) [48][ 800/1879]  base_lr: 4.0280e-08 lr: 4.0280e-08  eta: 0:37:33  time: 0.5980  data_time: 0.0628  memory: 8783  loss: 0.6838  sim_loss_v2t: 0.3419  sim_loss_t2v: 0.3418
2023/07/31 01:22:59 - mmengine - INFO - Epoch(train) [48][ 900/1879]  base_lr: 3.8637e-08 lr: 3.8637e-08  eta: 0:36:47  time: 0.5841  data_time: 0.0641  memory: 8783  loss: 0.6358  sim_loss_v2t: 0.3133  sim_loss_t2v: 0.3225
2023/07/31 01:23:58 - mmengine - INFO - Epoch(train) [48][1000/1879]  base_lr: 3.7027e-08 lr: 3.7027e-08  eta: 0:36:01  time: 0.6574  data_time: 0.0414  memory: 8783  loss: 0.6650  sim_loss_v2t: 0.3321  sim_loss_t2v: 0.3328
2023/07/31 01:24:55 - mmengine - INFO - Epoch(train) [48][1100/1879]  base_lr: 3.5451e-08 lr: 3.5451e-08  eta: 0:35:15  time: 0.4788  data_time: 0.0363  memory: 8783  loss: 0.6348  sim_loss_v2t: 0.3140  sim_loss_t2v: 0.3208
2023/07/31 01:25:54 - mmengine - INFO - Epoch(train) [48][1200/1879]  base_lr: 3.3910e-08 lr: 3.3910e-08  eta: 0:34:29  time: 0.5763  data_time: 0.0362  memory: 8783  loss: 0.6917  sim_loss_v2t: 0.3375  sim_loss_t2v: 0.3542
2023/07/31 01:26:52 - mmengine - INFO - Epoch(train) [48][1300/1879]  base_lr: 3.2402e-08 lr: 3.2402e-08  eta: 0:33:43  time: 0.5365  data_time: 0.0391  memory: 8783  loss: 0.6572  sim_loss_v2t: 0.3203  sim_loss_t2v: 0.3369
2023/07/31 01:27:54 - mmengine - INFO - Epoch(train) [48][1400/1879]  base_lr: 3.0928e-08 lr: 3.0928e-08  eta: 0:32:57  time: 0.5530  data_time: 0.0957  memory: 8783  loss: 0.6070  sim_loss_v2t: 0.3005  sim_loss_t2v: 0.3065
2023/07/31 01:28:53 - mmengine - INFO - Epoch(train) [48][1500/1879]  base_lr: 2.9489e-08 lr: 2.9489e-08  eta: 0:32:11  time: 0.5506  data_time: 0.0404  memory: 8783  loss: 0.6324  sim_loss_v2t: 0.3132  sim_loss_t2v: 0.3192
2023/07/31 01:29:51 - mmengine - INFO - Epoch(train) [48][1600/1879]  base_lr: 2.8083e-08 lr: 2.8083e-08  eta: 0:31:24  time: 0.5175  data_time: 0.1711  memory: 8783  loss: 0.6349  sim_loss_v2t: 0.3175  sim_loss_t2v: 0.3174
2023/07/31 01:30:42 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 01:30:48 - mmengine - INFO - Epoch(train) [48][1700/1879]  base_lr: 2.6712e-08 lr: 2.6712e-08  eta: 0:30:38  time: 0.6064  data_time: 0.0756  memory: 8783  loss: 0.6429  sim_loss_v2t: 0.3186  sim_loss_t2v: 0.3243
2023/07/31 01:31:48 - mmengine - INFO - Epoch(train) [48][1800/1879]  base_lr: 2.5375e-08 lr: 2.5375e-08  eta: 0:29:52  time: 0.5595  data_time: 0.1504  memory: 8783  loss: 0.6381  sim_loss_v2t: 0.3184  sim_loss_t2v: 0.3196
2023/07/31 01:32:30 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 01:32:30 - mmengine - INFO - Epoch(train) [48][1879/1879]  base_lr: 2.4343e-08 lr: 2.4343e-08  eta: 0:29:15  time: 0.1984  data_time: 0.0123  memory: 8783  loss: 0.6312  sim_loss_v2t: 0.3117  sim_loss_t2v: 0.3195
2023/07/31 01:32:30 - mmengine - INFO - Saving checkpoint at 48 epochs
2023/07/31 01:34:59 - mmengine - INFO - Epoch(val) [48][100/155]    eta: 0:01:07  time: 1.1971  data_time: 0.0843  memory: 18758  
2023/07/31 01:36:04 - mmengine - INFO - Epoch(val) [48][155/155]    acc/top1: 0.7749  acc/top5: 0.9327  acc/mean1: 0.7748  data_time: 0.0844  time: 1.1961
2023/07/31 01:37:13 - mmengine - INFO - Epoch(train) [49][ 100/1879]  base_lr: 2.3067e-08 lr: 2.3067e-08  eta: 0:28:30  time: 0.7177  data_time: 0.0463  memory: 18758  loss: 0.6375  sim_loss_v2t: 0.3144  sim_loss_t2v: 0.3231
2023/07/31 01:38:12 - mmengine - INFO - Epoch(train) [49][ 200/1879]  base_lr: 2.1825e-08 lr: 2.1825e-08  eta: 0:27:43  time: 0.5921  data_time: 0.0295  memory: 8783  loss: 0.6224  sim_loss_v2t: 0.3088  sim_loss_t2v: 0.3136
2023/07/31 01:39:11 - mmengine - INFO - Epoch(train) [49][ 300/1879]  base_lr: 2.0617e-08 lr: 2.0617e-08  eta: 0:26:57  time: 0.5136  data_time: 0.0549  memory: 8783  loss: 0.6298  sim_loss_v2t: 0.3077  sim_loss_t2v: 0.3221
2023/07/31 01:40:09 - mmengine - INFO - Epoch(train) [49][ 400/1879]  base_lr: 1.9444e-08 lr: 1.9444e-08  eta: 0:26:11  time: 0.5141  data_time: 0.1398  memory: 8783  loss: 0.6518  sim_loss_v2t: 0.3232  sim_loss_t2v: 0.3287
2023/07/31 01:41:11 - mmengine - INFO - Epoch(train) [49][ 500/1879]  base_lr: 1.8305e-08 lr: 1.8305e-08  eta: 0:25:24  time: 0.5362  data_time: 0.0436  memory: 8783  loss: 0.6327  sim_loss_v2t: 0.3121  sim_loss_t2v: 0.3206
2023/07/31 01:42:08 - mmengine - INFO - Epoch(train) [49][ 600/1879]  base_lr: 1.7200e-08 lr: 1.7200e-08  eta: 0:24:38  time: 0.5181  data_time: 0.0369  memory: 8783  loss: 0.6510  sim_loss_v2t: 0.3223  sim_loss_t2v: 0.3287
2023/07/31 01:43:09 - mmengine - INFO - Epoch(train) [49][ 700/1879]  base_lr: 1.6130e-08 lr: 1.6130e-08  eta: 0:23:52  time: 0.6246  data_time: 0.0369  memory: 8783  loss: 0.6718  sim_loss_v2t: 0.3318  sim_loss_t2v: 0.3400
2023/07/31 01:44:08 - mmengine - INFO - Epoch(train) [49][ 800/1879]  base_lr: 1.5093e-08 lr: 1.5093e-08  eta: 0:23:05  time: 0.5305  data_time: 0.0376  memory: 8783  loss: 0.5884  sim_loss_v2t: 0.2917  sim_loss_t2v: 0.2967
2023/07/31 01:44:14 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 01:45:03 - mmengine - INFO - Epoch(train) [49][ 900/1879]  base_lr: 1.4091e-08 lr: 1.4091e-08  eta: 0:22:19  time: 0.5152  data_time: 0.0391  memory: 8783  loss: 0.6509  sim_loss_v2t: 0.3230  sim_loss_t2v: 0.3278
2023/07/31 01:46:05 - mmengine - INFO - Epoch(train) [49][1000/1879]  base_lr: 1.3124e-08 lr: 1.3124e-08  eta: 0:21:32  time: 0.7368  data_time: 0.0344  memory: 8783  loss: 0.5936  sim_loss_v2t: 0.2978  sim_loss_t2v: 0.2957
2023/07/31 01:47:04 - mmengine - INFO - Epoch(train) [49][1100/1879]  base_lr: 1.2190e-08 lr: 1.2190e-08  eta: 0:20:46  time: 0.5560  data_time: 0.0350  memory: 8783  loss: 0.6511  sim_loss_v2t: 0.3199  sim_loss_t2v: 0.3311
2023/07/31 01:48:01 - mmengine - INFO - Epoch(train) [49][1200/1879]  base_lr: 1.1291e-08 lr: 1.1291e-08  eta: 0:19:59  time: 0.5519  data_time: 0.0389  memory: 8783  loss: 0.6565  sim_loss_v2t: 0.3259  sim_loss_t2v: 0.3306
2023/07/31 01:49:02 - mmengine - INFO - Epoch(train) [49][1300/1879]  base_lr: 1.0427e-08 lr: 1.0427e-08  eta: 0:19:12  time: 0.6373  data_time: 0.2456  memory: 8783  loss: 0.6408  sim_loss_v2t: 0.3162  sim_loss_t2v: 0.3246
2023/07/31 01:50:00 - mmengine - INFO - Epoch(train) [49][1400/1879]  base_lr: 9.5964e-09 lr: 9.5964e-09  eta: 0:18:26  time: 0.5436  data_time: 0.0324  memory: 8783  loss: 0.6399  sim_loss_v2t: 0.3140  sim_loss_t2v: 0.3258
2023/07/31 01:51:00 - mmengine - INFO - Epoch(train) [49][1500/1879]  base_lr: 8.8005e-09 lr: 8.8005e-09  eta: 0:17:39  time: 0.5765  data_time: 0.2165  memory: 8783  loss: 0.5871  sim_loss_v2t: 0.2884  sim_loss_t2v: 0.2987
2023/07/31 01:52:07 - mmengine - INFO - Epoch(train) [49][1600/1879]  base_lr: 8.0390e-09 lr: 8.0390e-09  eta: 0:16:53  time: 0.7070  data_time: 0.0352  memory: 8783  loss: 0.5904  sim_loss_v2t: 0.2894  sim_loss_t2v: 0.3010
2023/07/31 01:53:05 - mmengine - INFO - Epoch(train) [49][1700/1879]  base_lr: 7.3119e-09 lr: 7.3119e-09  eta: 0:16:06  time: 0.5267  data_time: 0.0413  memory: 8783  loss: 0.6381  sim_loss_v2t: 0.3132  sim_loss_t2v: 0.3249
2023/07/31 01:54:01 - mmengine - INFO - Epoch(train) [49][1800/1879]  base_lr: 6.6192e-09 lr: 6.6192e-09  eta: 0:15:19  time: 0.5988  data_time: 0.0518  memory: 8783  loss: 0.6561  sim_loss_v2t: 0.3251  sim_loss_t2v: 0.3311
2023/07/31 01:54:07 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 01:54:41 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 01:54:41 - mmengine - INFO - Epoch(train) [49][1879/1879]  base_lr: 6.0964e-09 lr: 6.0964e-09  eta: 0:14:42  time: 0.2512  data_time: 0.0210  memory: 8783  loss: 0.5907  sim_loss_v2t: 0.2935  sim_loss_t2v: 0.2972
2023/07/31 01:54:41 - mmengine - INFO - Saving checkpoint at 49 epochs
2023/07/31 01:57:09 - mmengine - INFO - Epoch(val) [49][100/155]    eta: 0:01:07  time: 1.2060  data_time: 0.0933  memory: 18758  
2023/07/31 01:58:13 - mmengine - INFO - Epoch(val) [49][155/155]    acc/top1: 0.7748  acc/top5: 0.9327  acc/mean1: 0.7748  data_time: 0.0887  time: 1.1992
2023/07/31 01:59:24 - mmengine - INFO - Epoch(train) [50][ 100/1879]  base_lr: 5.4653e-09 lr: 5.4653e-09  eta: 0:13:56  time: 0.5593  data_time: 0.0426  memory: 18758  loss: 0.6266  sim_loss_v2t: 0.3082  sim_loss_t2v: 0.3185
2023/07/31 02:00:25 - mmengine - INFO - Epoch(train) [50][ 200/1879]  base_lr: 4.8687e-09 lr: 4.8687e-09  eta: 0:13:09  time: 0.7734  data_time: 0.0330  memory: 8783  loss: 0.6260  sim_loss_v2t: 0.3127  sim_loss_t2v: 0.3133
2023/07/31 02:01:23 - mmengine - INFO - Epoch(train) [50][ 300/1879]  base_lr: 4.3065e-09 lr: 4.3065e-09  eta: 0:12:22  time: 0.5043  data_time: 0.0406  memory: 8783  loss: 0.6702  sim_loss_v2t: 0.3307  sim_loss_t2v: 0.3395
2023/07/31 02:02:23 - mmengine - INFO - Epoch(train) [50][ 400/1879]  base_lr: 3.7787e-09 lr: 3.7787e-09  eta: 0:11:35  time: 0.5023  data_time: 0.0445  memory: 8783  loss: 0.6268  sim_loss_v2t: 0.3102  sim_loss_t2v: 0.3166
2023/07/31 02:03:21 - mmengine - INFO - Epoch(train) [50][ 500/1879]  base_lr: 3.2854e-09 lr: 3.2854e-09  eta: 0:10:48  time: 0.5440  data_time: 0.0346  memory: 8783  loss: 0.6647  sim_loss_v2t: 0.3314  sim_loss_t2v: 0.3333
2023/07/31 02:04:19 - mmengine - INFO - Epoch(train) [50][ 600/1879]  base_lr: 2.8266e-09 lr: 2.8266e-09  eta: 0:10:02  time: 0.5993  data_time: 0.0335  memory: 8783  loss: 0.6028  sim_loss_v2t: 0.3008  sim_loss_t2v: 0.3020
2023/07/31 02:05:19 - mmengine - INFO - Epoch(train) [50][ 700/1879]  base_lr: 2.4023e-09 lr: 2.4023e-09  eta: 0:09:15  time: 0.6039  data_time: 0.0358  memory: 8783  loss: 0.6525  sim_loss_v2t: 0.3283  sim_loss_t2v: 0.3241
2023/07/31 02:06:15 - mmengine - INFO - Epoch(train) [50][ 800/1879]  base_lr: 2.0124e-09 lr: 2.0124e-09  eta: 0:08:28  time: 0.4926  data_time: 0.0435  memory: 8783  loss: 0.6481  sim_loss_v2t: 0.3209  sim_loss_t2v: 0.3272
2023/07/31 02:07:17 - mmengine - INFO - Epoch(train) [50][ 900/1879]  base_lr: 1.6570e-09 lr: 1.6570e-09  eta: 0:07:41  time: 0.6504  data_time: 0.0326  memory: 8783  loss: 0.6516  sim_loss_v2t: 0.3240  sim_loss_t2v: 0.3277
2023/07/31 02:07:32 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 02:08:13 - mmengine - INFO - Epoch(train) [50][1000/1879]  base_lr: 1.3362e-09 lr: 1.3362e-09  eta: 0:06:54  time: 0.5284  data_time: 0.0685  memory: 8783  loss: 0.5944  sim_loss_v2t: 0.2950  sim_loss_t2v: 0.2995
2023/07/31 02:09:15 - mmengine - INFO - Epoch(train) [50][1100/1879]  base_lr: 1.0498e-09 lr: 1.0498e-09  eta: 0:06:07  time: 0.7090  data_time: 0.0329  memory: 8783  loss: 0.6017  sim_loss_v2t: 0.2998  sim_loss_t2v: 0.3019
2023/07/31 02:10:14 - mmengine - INFO - Epoch(train) [50][1200/1879]  base_lr: 7.9786e-10 lr: 7.9786e-10  eta: 0:05:20  time: 0.6134  data_time: 0.0456  memory: 8783  loss: 0.6378  sim_loss_v2t: 0.3176  sim_loss_t2v: 0.3203
2023/07/31 02:11:11 - mmengine - INFO - Epoch(train) [50][1300/1879]  base_lr: 5.8046e-10 lr: 5.8046e-10  eta: 0:04:33  time: 0.5438  data_time: 0.0354  memory: 8783  loss: 0.6269  sim_loss_v2t: 0.3091  sim_loss_t2v: 0.3178
2023/07/31 02:12:10 - mmengine - INFO - Epoch(train) [50][1400/1879]  base_lr: 3.9756e-10 lr: 3.9756e-10  eta: 0:03:45  time: 0.5560  data_time: 0.0397  memory: 8783  loss: 0.6368  sim_loss_v2t: 0.3195  sim_loss_t2v: 0.3174
2023/07/31 02:13:08 - mmengine - INFO - Epoch(train) [50][1500/1879]  base_lr: 2.4917e-10 lr: 2.4917e-10  eta: 0:02:58  time: 0.5322  data_time: 0.0346  memory: 8783  loss: 0.6589  sim_loss_v2t: 0.3282  sim_loss_t2v: 0.3307
2023/07/31 02:14:09 - mmengine - INFO - Epoch(train) [50][1600/1879]  base_lr: 1.3528e-10 lr: 1.3528e-10  eta: 0:02:11  time: 0.6882  data_time: 0.0387  memory: 8783  loss: 0.5802  sim_loss_v2t: 0.2909  sim_loss_t2v: 0.2892
2023/07/31 02:15:07 - mmengine - INFO - Epoch(train) [50][1700/1879]  base_lr: 5.5908e-11 lr: 5.5908e-11  eta: 0:01:24  time: 0.5464  data_time: 0.0415  memory: 8783  loss: 0.6444  sim_loss_v2t: 0.3194  sim_loss_t2v: 0.3250
2023/07/31 02:16:06 - mmengine - INFO - Epoch(train) [50][1800/1879]  base_lr: 1.1044e-11 lr: 1.1044e-11  eta: 0:00:37  time: 0.6333  data_time: 0.0378  memory: 8783  loss: 0.6259  sim_loss_v2t: 0.3122  sim_loss_t2v: 0.3137
2023/07/31 02:16:45 - mmengine - INFO - Exp name: actionclip_vit-base-p32-res224-clip-pre_g8xb16_1x1x8_k400-rgb_20230730_110110
2023/07/31 02:16:45 - mmengine - INFO - Epoch(train) [50][1879/1879]  base_lr: 1.7256e-15 lr: 1.7256e-15  eta: 0:00:00  time: 0.2597  data_time: 0.0165  memory: 8783  loss: 0.6529  sim_loss_v2t: 0.3195  sim_loss_t2v: 0.3335
2023/07/31 02:16:45 - mmengine - INFO - Saving checkpoint at 50 epochs
2023/07/31 02:19:11 - mmengine - INFO - Epoch(val) [50][100/155]    eta: 0:01:07  time: 1.1897  data_time: 0.0762  memory: 18758  
2023/07/31 02:20:16 - mmengine - INFO - Epoch(val) [50][155/155]    acc/top1: 0.7747  acc/top5: 0.9328  acc/mean1: 0.7747  data_time: 0.0886  time: 1.2004