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* Add recipe for the yes_no dataset. * Refactoring: Remove unused code. * Add Colab notebook for the yesno dataset. * Add GitHub actions to run yesno. * Fix a typo. * Minor fixes. * Train more epochs for GitHub actions. * Minor fixes. * Minor fixes. * Fix style issues.
16 lines
398 B
Markdown
16 lines
398 B
Markdown
## Yesno recipe
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You can run the recipe with **CPU**.
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[](https://colab.research.google.com/drive/1tIjjzaJc3IvGyKiMCDWO-TSnBgkcuN3B?usp=sharing)
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The above Colab notebook finishes the training using **CPU**
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within two minutes (50 epochs in total).
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The WER is
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```
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[test_set] %WER 0.42% [1 / 240, 0 ins, 1 del, 0 sub ]
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```
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