This model is based on distilroberta-base pretrained weights, with a classification head fine-tuned to classify text into 2 categories (neutral, biased).

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.

Similar to its base model, this model accepts inputs with a maximum length of 512 tokens.