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This repository has been archived by the owner on Oct 31, 2023. It is now read-only.
In order to further train a preexisting model on this data, can I simply run your train.py script with the parameters listed in your "Train the BERT model" (https://github.com/facebookresearch/XLM#2-train-the-bert-model) with the addition of a parameter that pertains to the preexisting model? For example, could I simply add an additional parameter like "--model_path preexisting_model.pth" ?
I apologize if the answer to this question is obvious!
Many thanks. :)
The text was updated successfully, but these errors were encountered:
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Hi!
First off, thank you in advance for any advice you can offer.
I would like to further train a preexisting model for a specific domain and I hope to be able to do so using your train.py script.
I have already prepared my data in accordance with your instructions. That is, I have already processed my data according to all the steps outlined in "Preparing the data" (https://github.com/facebookresearch/XLM#1-preparing-the-data).
In order to further train a preexisting model on this data, can I simply run your train.py script with the parameters listed in your "Train the BERT model" (https://github.com/facebookresearch/XLM#2-train-the-bert-model) with the addition of a parameter that pertains to the preexisting model? For example, could I simply add an additional parameter like "--model_path preexisting_model.pth" ?
I apologize if the answer to this question is obvious!
Many thanks. :)
The text was updated successfully, but these errors were encountered: