Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

How to compute that GPT-2 M (FTTop2 ) trainable parameters number is 25.19M? #148

Open
floatingbigcat opened this issue Nov 17, 2023 · 0 comments
Open

How to compute that GPT-2 M (FTTop2 ) trainable parameters number is 25.19M? #148

floatingbigcat opened this issue Nov 17, 2023 · 0 comments

Comments

@floatingbigcat
Copy link

floatingbigcat commented Nov 17, 2023 •
edited
Loading

in the table 3 of the paper "LORA: LOW-RANK ADAPTATION OF LARGE LAN- GUAGE MODELS"
it says that finetuning top2 layer of GPT2 meidium require 25.19M trainable parameters.
how to get this number?
I can't find that in its original paper "Prefix-Tuning: Optimizing Continuous Prompts for Generation" and confused about how to get it.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@floatingbigcat