Valid_Queue Size = 50% of Train by default

[avn3r]

Any thought or intuition as to why we split the train data in half as opposed to the more common practice of [15-30] percent for validation split. Does the sampling have to come from the train set or can it come from a different distribution of validation data like on a standard train, validation, test split?

Feel free to close after answering.
Regards.

[quark0]

We didn't try other ways to split the data. I think any kind of sampling/split would be fine as long as we don't touch the test set. Arguably, it would easier to distinguish the generalization ability of different architectures with a relatively small training/validation ratio.