Can this model be used for the Generative Question Answering?
I am looking for this model to fine-tune my own data (such as medical science) and after the training, I want it to be able to answer the questions. Then I am not looking for the "extractive answers" where it returns the start and end sequence (which is pretty much related the given context scenario) but a "generative case" where I train the model with my data and then answer the question, and from its (the model's) own understanding for my data, it should be able to give me the answers.
If anybody knows how to achieve that with this model, please let me know!
Thank you so much 🤗
Google's FLAN models (such as flan-t5-base) might be better for this purpose. It's a generative model, but using encoder-decoder architecture which is well suited for generative QA.