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  # Text Classification Toxicity
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  This model is a fined-tuned version of [nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Large](https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Large) on the on the [Jigsaw 1st Kaggle competition](https://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge) dataset using [unitary/toxic-bert](https://huggingface.co/unitary/toxic-bert) as teacher model.
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- The quantized version in ONNX format can be found [here](https://huggingface.co/minuva/MiniLMv2-toxic-jigsaw-lite).
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  The model contains two labels only (toxicity and severe toxicity). For the model with all labels refer to this [page](https://huggingface.co/minuva/MiniLMv2-toxic-jigsaw)
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  res.append(max_score)
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  res
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- # [('toxic', 0.736885666847229)]
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  ```
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  # Training hyperparameters
 
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  # Text Classification Toxicity
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  This model is a fined-tuned version of [nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Large](https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Large) on the on the [Jigsaw 1st Kaggle competition](https://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge) dataset using [unitary/toxic-bert](https://huggingface.co/unitary/toxic-bert) as teacher model.
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+ The original unquantized model can be found here [here](https://huggingface.co/minuva/MiniLMv2-toxic-jigsaw-lite).
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  The model contains two labels only (toxicity and severe toxicity). For the model with all labels refer to this [page](https://huggingface.co/minuva/MiniLMv2-toxic-jigsaw)
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  res.append(max_score)
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  res
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+ # [('toxic', 0.6553249955177307)]
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  ```
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  # Training hyperparameters