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summmeer avatar summmeer commented on June 6, 2024 1

Hi,
Yes, we've tested the $h=128$ and $h=768$ and we found that the larger $h$ can not guarantee better performance. There are many factors anyway, but so far this hyper-parameter does not take much effect in these settings. As for more training samples or more complex tasks or more Transformer layers, it's another story.

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mainpyp avatar mainpyp commented on June 6, 2024

Thank you for you reply! :)

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