luigisaetta
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README.md
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value: 5.7191
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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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should probably proofread and complete it, then remove this comment. -->
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# luigisaetta/whisper-medium-it
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_11_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1452
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- Wer: 5.7191
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## Model description
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This model is a fine-tuning of the
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## Intended uses & limitations
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This model has been developed as part of the Hugging Face Whisper Fine Tuning sprint, December 2022.
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where it is needed ASR on the Italian Language.
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It has not been extensively tested. It is possible that on other datasets the accuracy will be lower.
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## Training and evaluation data
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## Training procedure
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value: 5.7191
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# luigisaetta/whisper-medium-it
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_11_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1452
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- Wer: 5.7191
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## Model description
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This model is a fine-tuning of the OpenAI Whisper Medium model, on the specified dataset.
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## Intended uses & limitations
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This model has been developed as part of the Hugging Face Whisper Fine Tuning sprint, December 2022.
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It is meant to spread the knowledge on how these models are built and can be used to develop solutions
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where it is needed ASR on the Italian Language.
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It has not been extensively tested. It is possible that on other datasets the accuracy will be lower.
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## Training and evaluation data
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Trained and tested on Mozilla Common Voice, vers. 11
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## Training procedure
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