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This repository has been archived by the owner on Jul 26, 2019. It is now read-only.
I don't quite understand one point. When I downloaded your keras representation of BERT and check the number of trainable parameters in summary, it showed ~177 mil parameters, while in official bert it should be 110 mil for base model. Could you explain where this difference comes from?
The text was updated successfully, but these errors were encountered:
Hi,
I'm not entirely sure, but maybe it's because of the subword embeddings?
most of the time people don't count input embeddings in their model parameters.
Sign up for freeto subscribe to this conversation on GitHub.
Already have an account?
Sign in.
I don't quite understand one point. When I downloaded your keras representation of BERT and check the number of trainable parameters in summary, it showed ~177 mil parameters, while in official bert it should be 110 mil for base model. Could you explain where this difference comes from?
The text was updated successfully, but these errors were encountered: