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- This model is a fine-tune checkpoint of [T5-base](https://huggingface.co/t5-base), fine-tuned on the [Wiki Neutrality Corpus (WNC)](https://github.com/rpryzant/neutralizing-bias), a labeled dataset composed of 180,000 biased and neutralized sentence pairs that are generated from Wikipedia edits tagged for “neutral point of view”. This model reaches an accuracy of 0.39 on a dev split of the WNC.
 
 
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  For more details about T5, check out this [model card](https://huggingface.co/t5-base).
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+ This model is a fine-tuned checkpoint of [T5-base](https://huggingface.co/t5-base), fine-tuned on the [Wiki Neutrality Corpus (WNC)](https://github.com/rpryzant/neutralizing-bias), a labeled dataset composed of 180,000 biased and neutralized sentence pairs that are generated from Wikipedia edits tagged for “neutral point of view”. This model achieves state of the art performance with a **BLEU score of 94.08** and an **accuracy of 48.37** on a test split of the WNC, narrowly beating out [Pryzant et al](https://github.com/rpryzant/neutralizing-bias).
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  For more details about T5, check out this [model card](https://huggingface.co/t5-base).
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+ For more details about BLEU, see this [wiki](https://en.wikipedia.org/wiki/BLEU).
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