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Distilbert Base Uncased Hate Speech Offensive Train 16 0

Developed by SetFit
A lightweight model based on DistilBERT for detecting hate speech and offensive content in text
Downloads 26
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 provides basic classification capabilities.

Model Features

Lightweight architecture
Based on DistilBERT, smaller and faster than standard BERT models while maintaining relatively good performance
Hate speech detection
Specifically designed for classifying and detecting hate speech and offensive language
Efficient training
Optimized training process using mixed-precision training (native AMP)

Model Capabilities

Text classification
Hate speech detection
Offensive language identification

Use Cases

Content moderation
Social media content filtering
Automatically identify and flag hate speech and offensive content on social media
Accuracy approximately 51.7%
Online community management
Help community administrators quickly identify inappropriate remarks
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