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README.md
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metrics:
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- name: Test WER
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type: wer
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value: 0.
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---
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# Wav2Vec2-Large-XLSR-53-Moroccan-Darija
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- We are consistently adding data to the model every day (We prefer not to add all MDVC Corpus at once as we are trying to standardize more and more the way we write the Moroccan Darija).
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<table><thead><tr><th><strong>Training Loss</strong></th> <th><strong>Validation</strong></th> <th><strong>Loss Wer</strong></th></tr></thead> <tbody><tr>
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<td>0.
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<td>0.
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<td>0.
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</tr> </tbody></table>
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<i>- PS: The training Loss has gone higher because we increased mask_time_prob to 50%. Training is still on to decrease it.</i>
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metrics:
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- name: Test WER
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type: wer
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value: 0.087813
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---
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# Wav2Vec2-Large-XLSR-53-Moroccan-Darija
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- We are consistently adding data to the model every day (We prefer not to add all MDVC Corpus at once as we are trying to standardize more and more the way we write the Moroccan Darija).
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<table><thead><tr><th><strong>Training Loss</strong></th> <th><strong>Validation</strong></th> <th><strong>Loss Wer</strong></th></tr></thead> <tbody><tr>
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<td>0.221600</td>
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<td>0.101906</td>
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<td>0.087813</td>
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</tr> </tbody></table>
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<i>- PS: The training Loss has gone higher because we increased mask_time_prob to 50%. Training is still on to decrease it.</i>
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