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How to fine tuning model on multi-tasks? #3

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swufelyc opened this issue May 30, 2020 · 3 comments
Open

How to fine tuning model on multi-tasks? #3

swufelyc opened this issue May 30, 2020 · 3 comments

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@swufelyc
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swufelyc commented May 30, 2020

Sorry to bother you!
But it seems to me, the run_classifier_single_layer.py does not save the model, and what should I do to fine tuning the fine tuned model?
Thanks!

@xuyige
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xuyige commented Jun 2, 2020

Thank you for your issue!
I have just uploaded our codes about the fine-tuning model on multi-tasks.
The multi-task fine-tuning is just adding other softmax layers for other tasks.
In our paper, only four datasets are used.

@xuyige
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xuyige commented Jun 2, 2020

For saving models, we did not save checkpoints during fine-tuning. If you need to save your models, we suggest using torch.save

@swufelyc
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swufelyc commented Jun 3, 2020

Ok, thanks for your reply!

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