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Text Classification using Transformers #15

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Priyansi opened this issue Aug 3, 2021 · 6 comments · Fixed by #32
Closed

Text Classification using Transformers #15

Priyansi opened this issue Aug 3, 2021 · 6 comments · Fixed by #32
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tutorial Improvements or additions in tutorials

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@Priyansi
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Priyansi commented Aug 3, 2021

The idea is to make a new beginner-level NLP tutorial combining this transformers example and this Text CNN notebook.

Update:
The idea has now been changed to using this 🤗 tutorial: https://huggingface.co/transformers/training.html for all the base code and then introducing Ignite for training. Ignite concepts are still derived from the TextCNN notebook.

@Priyansi Priyansi self-assigned this Aug 3, 2021
@Priyansi Priyansi added the tutorial Improvements or additions in tutorials label Aug 3, 2021
@LiviaCavalcanti
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Hi! Do you guys have any other tutorial that you think would be nice to have here? I would like to help here

@sdesrozis
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@LiviaCavalcanti Hi, thank you for your interest !

Your contribution would be great, very helpful and appreciated. Can you join our discord channel to discuss further ? See https://github.com/pytorch/ignite#communication

@vfdev-5
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vfdev-5 commented Sep 9, 2021

@LiviaCavalcanti we were also thinking about

@Priyansi can you open issues in this repository for cross-validation tutorial and hyperparameter tuning, please ?

@LiviaCavalcanti
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@LiviaCavalcanti we were also thinking about

@Priyansi can you open issues in this repository for cross-validation tutorial and hyperparameter tuning, please ?

@vfdev-5 sounds good. I am interested in working on it. I am gonna wait for the issues right?

@Priyansi
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Priyansi commented Sep 9, 2021

@Priyansi can you open issues in this repository for cross-validation tutorial and hyperparameter tuning, please ?

Cross-validation would work better as a how-to guide IMO #28 and here is the hyperparameter tuning tutorial #29 (no ideas on how to proceed with this right now).

@LiviaCavalcanti
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Thanks @Priyansi. I will think about how we could do it and bring the discussion to the issues. Does it work?

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4 participants