# Interpretability analysis

This model is a BERT-architecture optimized implicit hate speech detector, specifically trained and fine-tuned for English implicit hate speech.

A BERT-based text classification model for detecting hate speech and offensive content, with rationale prediction capability

HateXplain is a text classification model for detecting hate speech, offensive content, and normal content, trained on data from Gab and Twitter, with enhanced performance through human-annotated rationale.