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Distilbert Base Uncased Hate Speech Offensive Train 32 6

Developed by SetFit
A lightweight model based on DistilBERT, fine-tuned for hate speech and offensive language detection tasks
Downloads 17
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of the DistilBERT base model, specifically designed to detect hate speech and offensive content in text.

Model Features

Lightweight and efficient
Based on the DistilBERT architecture, it is 40% smaller than the standard BERT model while retaining 95% of its performance.
Hate speech detection
Specifically optimized for identifying hate speech and offensive content in text.
Fast inference
The distilled architecture enables faster model inference, making it suitable for real-time applications.

Model Capabilities

Text classification
Hate speech detection
Offensive language identification

Use Cases

Content moderation
Social media content filtering
Automatically detect and filter hate speech and offensive content on social media platforms
Achieved 66.3% accuracy on the evaluation dataset
Online community management
Assist forums and online communities in identifying inappropriate speech
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