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Hey!
I am new in this field and I was going through the code but I am not able to understand what exactly does the preloss and post loss mean here. Can someone help?
Thanks
The text was updated successfully, but these errors were encountered:
I understand it that preloss is adaptaion loss about label_a(Number of classes per task) and postloss is meta-learning loss about lable_b(Number of test example per class).
I understand it that preloss is adaptaion loss about label_a(Number of classes per task) and postloss is meta-learning loss about lable_b(Number of test example per class).
Hello, I have a question. Why does postoss get higher and higher in training? I think that should mean the accuracy.
Hey!
I am new in this field and I was going through the code but I am not able to understand what exactly does the preloss and post loss mean here. Can someone help?
Thanks
The text was updated successfully, but these errors were encountered: