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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 Whipser 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 mean to spread the knowledge on how tese 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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- More information needed
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  ## Training procedure
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  ---
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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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+
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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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+
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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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