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---
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language: en
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datasets:
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- valurank/wikirev-bias
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---
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# DistilROBERTA fine-tuned for bias detection
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This model is based on [distilroberta-base](https://huggingface.co/distilroberta-base) pretrained weights, with a classification head fine-tuned to classify text into 2 categories (neutral, biased).
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## Training data
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The dataset used to fine-tune the model is [wikirev-bias](https://huggingface.co/datasets/valurank/wikirev-bias), extracted from English wikipedia revisions, see https://github.com/rpryzant/neutralizing-bias for details on the WNC wiki edits corpus.
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## Inputs
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Similar to its base model, this model accepts inputs with a maximum length of 512 tokens.
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