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  # ToxicityModelPT (Portuguese)
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- The `ToxicityModelPT` is a modified BERT model that can be used to score the toxicity of completion to a given prompt. It is based on a [BERT model](https://huggingface.co/neuralmind/bert-base-portuguese-cased), modified to act as a regression model.
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- The `ToxicityModel` allows the specification of an `alpha` parameter, which is a multiplier to the toxicity score. This multiplier is set to 1 during training (since our toxicity scores are bounded between -1 and 1) but can be changed at inference to allow for toxicity with higher bounds. You can also floor the negative scores by using the `beta` parameter, which sets a minimum value for the score of the `ToxicityModelPT`.
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  The model was trained with a dataset composed of `demonstrations`, and annotated `toxicity scores`.
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  # ToxicityModelPT (Portuguese)
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+ The `ToxicityModelPT` is a modified BERT model that can be used to score the toxicity of a sentence (prompt + completion). It is based on a [BERT model](https://huggingface.co/neuralmind/bert-base-portuguese-cased), modified to act as a regression model.
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+ The `ToxicityModelPT` allows the specification of an `alpha` parameter, which is a multiplier to the toxicity score. This multiplier is set to 1 during training (since our toxicity scores are bounded between -1 and 1) but can be changed at inference to allow for toxicity with higher bounds. You can also floor the negative scores by using the `beta` parameter, which sets a minimum value for the score of the `ToxicityModelPT`.
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  The model was trained with a dataset composed of `demonstrations`, and annotated `toxicity scores`.
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