mosaicml/llm-foundry

Train with attention mask

germanjke opened this issue · 1 comments

Hi,

Llama 3 trains like this

We trained the models on sequences of 8,192 tokens, using a mask to ensure self-attention does not cross document boundaries.

I see you have something like this in mpt_modeling.py here

Can you tell please, how we can define this in train config?

Thanks

Hey, we have not implemented the attention masking you are describing for models other than MPT variants.