You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Feb 17, 2024. It is now read-only.
Hi @craffel, I have some questions about the data sampling and T5 span corruption. Could you please link me to the corresponding implementation?
About sampling high/low-resource languages. Have you used one dataloader for each language out of 100+, and doing sampling during pre-training?
About non-padding span corruption (merge_examples_to_reduce_padding ). Is mT5 trained without padding? If so, is each sampled batch the same language? Otherwise, each concatenated sample may contain different languages, and the span corruption may be across different languages.
The text was updated successfully, but these errors were encountered:
Sign up for freeto subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Hi @craffel, I have some questions about the data sampling and T5 span corruption. Could you please link me to the corresponding implementation?
merge_examples_to_reduce_padding
). Is mT5 trained without padding? If so, is each sampled batch the same language? Otherwise, each concatenated sample may contain different languages, and the span corruption may be across different languages.The text was updated successfully, but these errors were encountered: