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  # Model Card for Model ID
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  This is a finetune for Whisper Small. A finetune to achieve better results on Whisper Small for Portuguese.
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- Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours
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- of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need
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- for fine-tuning.
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-
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- Whisper was proposed in the paper [Robust Speech Recognition via Large-Scale Weak Supervision](https://arxiv.org/abs/2212.04356)
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- by Alec Radford et al from OpenAI. The original code repository can be found [here](https://github.com/openai/whisper).
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  ## Model Details
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  Whisper is a Transformer based encoder-decoder model, also referred to as a _sequence-to-sequence_ model.
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  It was trained on 680k hours of labelled speech data annotated using large-scale weak supervision.
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- The models were trained on either English-only data or multilingual data. The English-only models were trained
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- on the task of speech recognition. The multilingual models were trained on both speech recognition and speech
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- translation. For speech recognition, the model predicts transcriptions in the *same* language as the audio.
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- For speech translation, the model predicts transcriptions to a *different* language to the audio.
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-
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- Whisper checkpoints come in five configurations of varying model sizes.
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- The smallest four are trained on either English-only or multilingual data.
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- The largest checkpoints are multilingual only. All ten of the pre-trained checkpoints
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- are available on the [Hugging Face Hub](https://huggingface.co/models?search=openai/whisper).
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  - **Developed by:** [ArtificialGuyBr](https://twitter.com/@artificialguybr)
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  - **Shared by:** [ArtificialGuyBr](https://twitter.com/@artificialguybr)
 
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  # Model Card for Model ID
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  This is a finetune for Whisper Small. A finetune to achieve better results on Whisper Small for Portuguese.
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+ Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation.
 
 
 
 
 
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  ## Model Details
 
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  Whisper is a Transformer based encoder-decoder model, also referred to as a _sequence-to-sequence_ model.
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  It was trained on 680k hours of labelled speech data annotated using large-scale weak supervision.
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+ This is a finetune using Common Voice 13.0 to improve the results for PORTUGUESE.
 
 
 
 
 
 
 
 
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  - **Developed by:** [ArtificialGuyBr](https://twitter.com/@artificialguybr)
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  - **Shared by:** [ArtificialGuyBr](https://twitter.com/@artificialguybr)