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README.md
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-large-clinical
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on
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It achieves the following results on the evaluation set:
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- Loss: 0.2757
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- Wer: 5.2122
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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value: 5.21215221530679
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# whisper-large-clinical
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on a private audiofolder dataset of 18.96 hours of clinical notes text data and corresponding synthetic audio generated by a TTS API.
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It achieves the following results on the evaluation set:
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- Loss: 0.2757
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- Wer: 5.2122
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## Training procedure
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### Training hyperparameters
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