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pretrained weights & fine-tune #40

@ymqqqqqq

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@ymqqqqqq

Thank you very much for your work. During my attempts, I have the following questions:

  1. Since the QA generation of the overall nusc dataset is very slow, I want to fine-tune the given pre-trained parameters. Does this mean that I don't need to do the first stage of training?
  2. If I want to use the pre-trained parameters, should I use the parameters in the senna weights you provided? (https://huggingface.co/rb93dett/Senna/tree/main) Is this the result of fine-tuning or pretrain?
    Thank you for your help and answers

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