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TheInfelicitousDandy t1_irsfw1a wrote

I've tried to reimplement AWD-LSTM in pytorch > 1. and have never been able to get close to the original results. I've also seen other people try and not get close. Pretty sure it has to do with the weight dropout they used.

If anyone knows of any pytorch > 1. version that achieves the same PPL on PTB/Wiki02 I'd very much like to know.

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Small-Reason-8096 t1_irzvwc8 wrote

That surprises me as there was a good Fastai version:

https://docs.fast.ai/text.models.awdlstm.html

which is built on pytorch. When I played with it ages ago the results seemed comparable to the paper, but I haven't revisited it for a while :)

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