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Distilbert Base Uncased Hate Speech Offensive Train 16 8
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Distilbert Base Uncased Hate Speech Offensive Train 16 8
Developed by SetFit
A lightweight model based on DistilBERT, fine-tuned for hate speech and offensive language detection tasks
Downloads 15
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. While its accuracy is relatively low, it serves as a starting point for lightweight solutions.
Model Features
Lightweight architecture
Based on DistilBERT, smaller and faster than standard BERT models while retaining most of the performance
Task-specific optimization
Specially fine-tuned for hate speech and offensive language detection
Easy deployment
Compact model size makes it suitable for deployment in resource-constrained environments
Model Capabilities
Text classification
Hate speech detection
Offensive language identification
Use Cases
Content moderation
Social media content filtering
Automatically identify and flag posts that may contain hate speech or offensive language
Current accuracy 39.4%, can serve as a preliminary screening tool
Online community management
Forum comment moderation
Help administrators identify potentially violating comments requiring manual review
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