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

Obviously catastrophic forgetting #18

Open
ghost opened this issue Dec 30, 2020 · 3 comments
Open

Obviously catastrophic forgetting #18

ghost opened this issue Dec 30, 2020 · 3 comments

Comments

@ghost
Copy link

ghost commented Dec 30, 2020

Thanks for your work, i think your work is a milestone work in lifelong machine learning.
But i run your code, the program does not seem to be running correctly.
image
And the log file is here:
session_0
image
session_1
image
session_2
image
session_3
image
session_4
image

The only place I modify the program is start_sess = 0
So why is the program like this?

@joeljosephjin
Copy link

Im getting the same issue.. Is there a way to solve this?

@ctm-hxds
Copy link

Im getting the same issue.. Is there a way to solve this?

No, I tried a lot of methods and finally did not solve this problem

Im getting the same issue.. Is there a way to solve this?

@Madghostek
Copy link

Madghostek commented Mar 6, 2024

The session log files contain accuracy of the base model, not the meta-model. There is meta_test method of learner object, which trains the meta-model using the base model and memory buffer, then the accuracy is as presented in the paper (the accuracy is printed to console after training meta tasks step). I'm not sure what's the point of the session files though, as they don't give information about the meta-model at all, at first it was confusing for me as well.
Edit: I was running train_mnist.py, maybe on other datasets it's different

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