Dear list,
I want to have a question answering model for US patent text. For example, I want to ask it to read a patent’s text and ask questions such as ‘what is the specific problem to solve in this text?’. I tried with some general question answering models such as ‘distilbert-base-cased-distilled-squad’ but the answers were not satisfactory.
Now I am considering if I can get a better model through fine-tuning the model with patent data. So, I wonder if this is the right approach and if it is, then how can I fine-tune a model with patent data so that I can get more satisfactory answers?
Thanks in advance.