⚠️ Disclaimer: The huggingface models currently give different results to the detoxify library (see issue here). For the most up to date models we recommend using the models from https://github.com/unitaryai/detoxify 🙊 Detoxify Toxic Comment Classification with ⚡ Pytorch Lightning and 🤗 Transformers Description Trained models & code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification, Unintended Bias in Toxic comments, Multilingual toxic comment classification. Built by Laura Hanu at Unitary, where we are working to stop harmful content online by interpreting visual content in context. Dependencies: For inference: 🤗 Transformers ⚡ Pytorch lightning For training will also need: Kaggle API (to download data) Challenge Year Goal Original Data Source Detoxify Model Name Top Kaggle Leaderboard Score Detoxify Score Toxic Comment Classification Challenge 2018 build a multi headed model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity based hate. Wikipedia Comments original 0.98856 0.98636 Jigsaw Unintended Bias in Toxicity Classification 2019 build a model that recognizes toxicity and minimizes this typ…
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