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Accuracies on the examples #12

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sf-wind opened this issue Jan 31, 2020 · 1 comment
Open

Accuracies on the examples #12

sf-wind opened this issue Jan 31, 2020 · 1 comment

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@sf-wind
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sf-wind commented Jan 31, 2020

Hi, I wonder whether you can provide some reference accuracy for the experiments you have put on the page: https://github.com/pbloem/former/tree/master/experiments

That helps me understand how well this model is.

Thanks

@TheGrayFrost
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TheGrayFrost commented Jun 24, 2020

I think he mentions in the blog that for sentiment classification at depth 6 and max sequence length 512, it achieves 85% classification accuracy. And for the text generation task, the model achieves a compression of 1.343 bits per byte on the validation set. You can obviously collect more metrics by yourself.
Hope it helps. Cheers! 👍

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