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So, let's say I have a following csv dataset. I have to use pre-trained BERT question-answering model to train , predict and finally evaluate. As, I am new to this it would be helpful to see similar project to understand and work myself on my project or any guidance would be helpful too.

I already tried training the model individually (checking one article at a time), that works. I need guidance on how to work with CSV dataset and evaluation.

Here is the format of the dataset

JN17
  • 21
  • 3
  • Please be a bit more specific when asking a question: What have you tried so far, with a code example? / What do you expect? / What error do you get? For help, take a look at "[How to ask](//stackoverflow.com/help/how-to-ask)". – Philip Ciunkiewicz Jul 22 '21 at 14:41
  • I have trained and checked the pre-trained question answering BERT model with single article, how do I go about if I have a CSV and one column has many articles and I want to use them for training? Any similar projects (I couldn't find any myself) would help me to understand all the steps involved in the process. – JN17 Jul 22 '21 at 16:51
  • Which model are you using? It is important to know if the model is just pre-trained of it has been fine-tuned for question answering as well. If it's the latter, you could maybe avoid another fine-tuning. Please provide details about the model and I might be able to help you more – SilentCloud Sep 16 '21 at 12:03

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