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@@ -17,11 +17,11 @@ model-index:
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  metrics:
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  - name: Test WER
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  type: wer
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- value: 23.44
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  ---
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  # Wav2Vec2-Large-XLSR-53-Moroccan-Darija
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- **wav2vec2-large-xlsr-53** fine-tuned on 10 hours (~70 speakers) of labeled Darija Audios
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  The vocabulary contains 3 additional phonetic units ڭ, ڤ and پ. For example: ڭال , ڤيديو , پودكاست
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@@ -63,9 +63,9 @@ Here's the output: ڭالت ليا هاد السيد هادا ما كاينش ب
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  ====================================
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- -v3 (fine-tuned on 10 hours of audio + changed hyperparameters + discovered a huge mistake when using the letter 'ا' that has improved the WER dramatically)
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- **Wer**: 23.44
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  **Training Loss**: 15.96
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  metrics:
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  - name: Test WER
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  type: wer
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+ value: 22.56
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  ---
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  # Wav2Vec2-Large-XLSR-53-Moroccan-Darija
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+ **wav2vec2-large-xlsr-53** fine-tuned on 11 hours (~79 speakers) of labeled Darija Audios
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  The vocabulary contains 3 additional phonetic units ڭ, ڤ and پ. For example: ڭال , ڤيديو , پودكاست
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  ====================================
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+ -v3 (fine-tuned on 11 hours of audio + changed hyperparameters + discovered a huge mistake when using the letter 'ا' that has improved the WER dramatically)
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+ **Wer**: 22.56
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  **Training Loss**: 15.96
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