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

training time for "main.py" #26

Open
fikry102 opened this issue Jun 11, 2023 · 2 comments
Open

training time for "main.py" #26

fikry102 opened this issue Jun 11, 2023 · 2 comments

Comments

@fikry102
Copy link

The paper says "The training process takes about 20 minutes each image on one NVIDIA GeForce RTX3090 with a batch size of 1."
I used two RTX3090. However, it already cost three hours and it doesn't seem to stop.

For "v1-finetune.yaml”, which paramater specifys the number of epochs in the training process?

@zhangquanwei962
Copy link

The paper says "The training process takes about 20 minutes each image on one NVIDIA GeForce RTX3090 with a batch size of 1." I used two RTX3090. However, it already cost three hours and it doesn't seem to stop.

For "v1-finetune.yaml”, which paramater specifys the number of epochs in the training process?

As for me, if you dont not Ctrl+C, with the default yaml, it won't be stop

@code-gfBai
Copy link

In main.py, change
trainer_kwargs["max_steps"] = opt.max_steps
to
trainer_kwargs["max_steps"] = trainer_opt.max_steps
you will can use max_steps in the v1-finetune.yaml file

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

3 participants