why use " vit_base" pretrained model not ''beit_beit_base"model in beit test?

[StarShang]

https://github.com/open-mmlab/mmpretrain/tree/main/configs/beit

Train/Test Command

Prepare your dataset according to the docs.

Train:

python tools/train.py configs/beit/beit_beit-base-p16_8xb256-amp-coslr-300e_in1k.py

Test:

python tools/test.py configs/beit/benchmarks/beit-base-p16_8xb128-coslr-100e_in1k.py https://download.openmmlab.com/mmselfsup/1.x/beit/beit_vit-base-p16_8xb256-amp-coslr-300e_in1k/vit-base-p16_ft-8xb128-coslr-100e_in1k/**vit-base-p16**_ft-8xb128-coslr-100e_in1k_20221128-0ca393e9.pth

This is my question:
How to save vit-base- model? when I train by beit_beit-base**-p16_8xb256-amp-coslr-300e_in1k.py ,I got a pth include the weight of backbone ,targetgennerator and head part。How to save the weight of backbone only？