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README.md
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@@ -37,7 +37,15 @@ This model is a fine-tuned version of [openai/whisper-medium](https://huggingfac
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It achieves the following results on the evaluation set:
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- Loss: 0.2664
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- Wer: 15.8969
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- Wer Norm (Normalized Wer): 11.1406
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## Model description
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It achieves the following results on the evaluation set:
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- Loss: 0.2664
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- Wer: 15.8969
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- Wer Norm (Normalized Wer): **11.1406**
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## New SOTA
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The Normalized WER in the [OpenAI Whisper article](https://cdn.openai.com/papers/whisper.pdf) with the [Common Voice 9.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_9_0) test dataset is 16.0.
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This means that our French Medium Whisper is better than the model [Medium Whisper]() at transcribing French audios into text.
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![OpenAI results with Whisper Medium and Test dataset of Commons Voice 9.0](https://huggingface.co/pierreguillou/whisper-medium-french/resolve/main/whisper_medium_french_wer_commonvoice9.png)
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## Model description
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