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