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@@ -71,6 +71,14 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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  ```
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  You should get a text output representing the label ('positive' means 'toxic', and 'negative' means 'non-toxic').
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  ## Citation
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  ```
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  @misc{lin2023toxicchat,
 
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  ```
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  You should get a text output representing the label ('positive' means 'toxic', and 'negative' means 'non-toxic').
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+ ## Evaluation
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+ We report precision, recall, F1 score and AUPRC on ToxicChat (0124) test set:
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+ | Model | Precision | Recall | F1 | AUPRC |
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+ | --- | --- | --- | --- | --- |
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+ | ToxicChat-T5-large | 0.7983 | 0.8475 | 0.8221 | 0.8850 |
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+ | OpenAI Moderation (Updated Jan 25, 2024, threshold=0.02) | 0.5476 | 0.6989 | 0.6141 | 0.6313 |
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+
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  ## Citation
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  ```
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  @misc{lin2023toxicchat,