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@@ -10,7 +10,7 @@ datasets:
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Small Italian
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  results:
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  - task:
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  name: Automatic Speech Recognition
@@ -28,7 +28,7 @@ model-index:
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  ---
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- # Whisper Small Italian
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 it dataset.
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  It achieves the following results on the evaluation set:
@@ -37,18 +37,27 @@ It achieves the following results on the evaluation set:
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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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  The following hyperparameters were used during training:
 
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  metrics:
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  - wer
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  model-index:
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+ - name: luigisaetta/whisper-small3-it
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  results:
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  - task:
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  name: Automatic Speech Recognition
 
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  ---
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+ # Whisper Small3 Italian
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 it dataset.
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  It achieves the following results on the evaluation set:
 
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  ## Model description
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+ This model is a fine-tuning of the OpenAI Whisper Small 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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+ Please, test it before using it.
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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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+ The script **run.sh**, and the Python file, used for the training are saved in the repository.
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  ### Training hyperparameters
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  The following hyperparameters were used during training: