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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:
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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
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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
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**Wer**:
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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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