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

About the training with the 91 image dataset and fine-tuning with the General 100 dataset #6

Open
johnniewalker3 opened this issue Sep 9, 2021 · 1 comment

Comments

@johnniewalker3
Copy link

johnniewalker3 commented Sep 9, 2021

One last question Saafke,
when we train a network from scratch we train it with the 91-images datasets.When we have to fine-tune it we have to train the network with general 100 dataset and with 91 images dataset or only with general-100 dataset?

@Saafke
Copy link
Owner

Saafke commented Sep 9, 2021

In the original paper and my code, we only use the general-100 dataset for finetuning. During the finetuning stage, the learning-rate is halfed (compared to the training stage).

But you raise a valid point, you could actually use both datasets during finetuning! Why don't you try out, and see which strategy works better? :)

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