Open ghost opened 3 years ago
Im getting the same issue.. Is there a way to solve this?
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?
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
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. And the log file is here: session_0 session_1 session_2 session_3 session_4
The only place I modify the program is start_sess = 0 So why is the program like this?