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I see that this implementation (and all the others I've seen online) use a batch size of 16. The paper also mentions this as the default batch size they tried. Is there a reason why the batch size is kept so small? 32 or 64 would speed up learning. Have you tried bigger batch sizes?
The text was updated successfully, but these errors were encountered:
I see that this implementation (and all the others I've seen online) use a batch size of 16. The paper also mentions this as the default batch size they tried. Is there a reason why the batch size is kept so small? 32 or 64 would speed up learning. Have you tried bigger batch sizes?
The text was updated successfully, but these errors were encountered: