hi, now I have a text classfication baseline model and some other data which is used for data augmentation. How can I use this data to fine-tune my baseline model instead of training it from scratch? Is there some tips how to do it ?
The finetuning tutorial might be a good starter.
While it uses pretrained torchvision models, you could use your own pretrained model and use the general workflow of the tutorial.
Let me know, if you get stuck. 