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

How to train on a customied dataset? #2

Open
xiehuanyi opened this issue Aug 14, 2023 · 1 comment
Open

How to train on a customied dataset? #2

xiehuanyi opened this issue Aug 14, 2023 · 1 comment

Comments

@xiehuanyi
Copy link

I have a dataset with molcules and their atoms, positions, energy, and forces information. I wonder how to train my dataset with equiformer_v2. Is it possible to support customied dataset training or at least give some tutorial or suggestion?

@yilunliao
Copy link
Member

Hi @xiehuanyi

You can see https://github.com/atomicarchitects/equiformer , where we use Equiformer(V1) for QM9, MD17 and OC20 IS2RE datasets.

V1 and V2 are written in the same style, so that should be helpful.

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

2 participants