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Could anyone explain why don't use validation for baseline?

Open rainylt opened this issue 4 years ago • 1 comments

If we don't use validation and don't calculate accuracy during training, how can we know when to stop and how it performs in the training set, and whether it has overfitted? Just stare at the loss?

rainylt avatar Dec 04 '20 07:12 rainylt

With baseline, we cannot afford to train a linear classifier (the last layer) everytime we do a validation.

However with protonets, validation is just inference. That's why

ashok-arjun avatar Jun 20 '21 15:06 ashok-arjun