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

Paper pretraining config #8

Open
mojivalipour opened this issue Oct 6, 2021 · 1 comment
Open

Paper pretraining config #8

mojivalipour opened this issue Oct 6, 2021 · 1 comment

Comments

@mojivalipour
Copy link

It appears that config/pretrain-alldata-base.json is not your paper pretraining configuration. There is no cls_concat setting in this configuration file, so it uses the default value. As a result, unlike your paper, this configuration uses MLM instead of VMLM. Could you please provide a correct configuration that reproduces your results?
@intersun
Copy link
Owner

Yep, you can simply change the config setting, please see https://github.com/intersun/LightningDOT/blob/5f2880f69ba87b8701ab89348d70ebb11432578c/dvl/models/bi_encoder.py#L423 for more details. Thanks!

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
2 participants
@intersun @mojivalipour