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Roguebert Toxicity 85K

Developed by HyperX-Sentience
A toxicity comment classification model fine-tuned based on roberta-base, used to detect toxic content in comments.
Downloads 35
Release Time : 1/10/2025

Model Overview

This model can classify comments into toxicity categories, including 'toxic', 'obscene', 'insult', and 'threat', suitable for content moderation and toxicity detection.

Model Features

High accuracy
Achieves 98.12% accuracy on the evaluation dataset.
Multi-category classification
Can identify multiple types of toxicity, including toxic, obscene, insult, and threat.
Based on RoBERTa
Fine-tuned on the powerful roberta-base model, with excellent text comprehension capabilities.

Model Capabilities

Text classification
Toxicity detection
Content moderation

Use Cases

Content moderation
Social media moderation
Automatically flag or remove toxic comments on social media platforms.
Reduces manual moderation workload and improves efficiency.
Forum management
Identify malicious comments in forums.
Maintains a healthy discussion environment.
Customer support
Customer feedback analysis
Identify insulting or threatening content in customer feedback.
Helps prioritize high-risk customer issues.
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