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Modernbert Large Bias Type Classifier

Developed by cirimus
A text classification model fine-tuned based on ModernBERT-large, designed to detect and classify various types of bias in text.
Downloads 424
Release Time : 1/27/2025

Model Overview

This model can identify and classify multiple types of bias in text, including racial, religious, gender, age, and more. It serves as a crucial tool for bias detection and mitigation in natural language processing.

Model Features

Multi-label Classification
Capable of identifying multiple types of bias in text simultaneously.
High Accuracy
Performs exceptionally well on synthetic datasets, achieving a macro-average F1 score of 0.921.
Broad Coverage
Covers 11 different types of bias, including racial, religious, gender, and more.
Based on ModernBERT
Leverages the powerful performance of ModernBERT-large through fine-tuning.

Model Capabilities

Text Classification
Bias Detection
Multi-label Classification

Use Cases

Content Moderation
Social Media Content Moderation
Automatically detects biased content in social media posts.
Helps platforms identify and address potential biased statements.
Research Analysis
Bias Research
Used in academic research to analyze bias patterns in text.
Provides quantitative data to support bias research.
Ethical AI Development
AI System Bias Detection
Integrated into AI systems to detect bias in outputs.
Helps develop fairer AI systems.
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