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predict-prob always giving 1.00001 as a result for any input #925

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DiegoZoracKy opened this issue Oct 9, 2019 · 2 comments

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@DiegoZoracKy
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@DiegoZoracKy DiegoZoracKy commented Oct 9, 2019

Although the results given from a train/test split strategy shows up a high accuracy for the case (~90%), it seems that something is going wrong on predict-prob method as it always answers 1.00001 for any input, even for nonsense ones like "haha", "fasttext", "1234567890".

Training params:
-lr 1.0 -epoch 25 -wordNgrams 2

Training data:
Read 243M words
Number of words: 2273553
Number of labels: 1427

It's worth noting I've trained other models and this is the only case where I could find this weirdness until now.

@Celebio

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@Celebio Celebio commented Oct 10, 2019

Hi @DiegoZoracKy ,
Thank you for the feedback.

What do you get when you copy/paste some text from your test set to predict-prob?

Regards,
Onur

@DiegoZoracKy

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@DiegoZoracKy DiegoZoracKy commented Oct 10, 2019

Same value. It just gives 1.00001 for any input.

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