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Currently the dataset supported can be used alternatively to each other,
It would be nice to add diversity in the training data to select recipes to merge this dataset and create more insightful trainings.
TODO
Define what parameters needs to be specified to create a "recipe" for the dataset and add them to the config files
Expand the dataset class to allow parameters from the config file to generate the appropriate dataset mixture.
Evaluate the possible increase in model quality due to different "recipes" used.
The text was updated successfully, but these errors were encountered:
Hello @mohsinmahmood12, thanks a lot for the interest in ChatLLaMA. I assigned the issue to you! Let us know if you face any difficulties with the task 😄
Description
Currently the dataset supported can be used alternatively to each other,
It would be nice to add diversity in the training data to select recipes to merge this dataset and create more insightful trainings.
TODO
The text was updated successfully, but these errors were encountered: