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Hello, in 'nq_eval.py' it is mentioned that "Each prediction should be provided with a long answer score, and a short answers score".
May I clarify what these scores refer to? Are these scores supposed to represent the confidence of the model's predictions, or is there a fixed method to obtain scores?
For example, can we define the 'score' to simply be the sum of the start and end logits of the prediction?
Lastly, are scores also required for null predictions?
Thank you very much!
The text was updated successfully, but these errors were encountered:
Hello, in 'nq_eval.py' it is mentioned that "Each prediction should be provided with a long answer score, and a short answers score".
May I clarify what these scores refer to? Are these scores supposed to represent the confidence of the model's predictions, or is there a fixed method to obtain scores?
For example, can we define the 'score' to simply be the sum of the start and end logits of the prediction?
Lastly, are scores also required for null predictions?
Thank you very much!
The text was updated successfully, but these errors were encountered: