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.

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

Weighted Sum for Downstream Tasks #58

Open
jaeyeonkim99 opened this issue Jan 1, 2025 · 0 comments
Open

Weighted Sum for Downstream Tasks #58

jaeyeonkim99 opened this issue Jan 1, 2025 · 0 comments

Comments

@jaeyeonkim99
Copy link

Hello!
The paper denotes that hidden states of WavLM are weighted sum for downstream tasks, and the weight assigned for each layer and downstream tasks are denoted in Figure 2 of the WavLM paper.

I want to use the exact weight values for my research.
Can I get any help on this? Or is there any place that I can find the exact weights for each downstream task and layer?

Also I have a question regarding the normalization before the weighted sum.
It is stated "We normalize the weights from differnet layers based on the hidden states values". How are they exactly normalized e.g. applying layernorm for each layer hidden states...?

Thank you.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant