Distilbert Base Uncased Hate Speech Offensive Train 16 4
A lightweight model based on DistilBERT for detecting hate speech and offensive content in text
Downloads 17
Release Time : 3/2/2022
Model Overview
This model is a fine-tuned version of the DistilBERT base model, specifically designed to identify hate speech and offensive language in text. While its accuracy performance is moderate, it features lightweight and efficient characteristics.
Model Features
Lightweight and Efficient
Based on DistilBERT architecture, 40% smaller than standard BERT while retaining 95% of its performance
Fast Inference
Distilled architecture enables faster model inference, suitable for real-time applications
Content Moderation
Specially optimized for hate speech and offensive content detection
Model Capabilities
Text classification
Hate speech detection
Offensive language identification
Content safety analysis
Use Cases
Content moderation
Social media content filtering
Automatically detect hate speech and offensive content in user posts
Accuracy 48.05%
Online community management
Identify and flag potentially violating content requiring manual review
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