Share of embeddings

[antonio-mastropaolo]

Hi all,

I was wondering what the benefits of sharing the word and projection weights when training a BLM model?
Do you think/suggest using it as default hyper-param when training the BLM model, or we're better off fine-tuning i?

Thank you all :)