Can you detail the preprocessing needed to be done with text during finetuning when using your pretrained model?

[wailoktam]

The part about tokenizing with Mecab is clear but what about the sub-word tokenization? And what if there are words found in the data used for finetuning but not found in the data used for pretraining? Some guide on using your pretrained model would be great.