H

Hate Trained 31415

Developed by marcolatella
Hate speech detection model fine-tuned on distilbert-base-uncased, trained on tweet_eval dataset
Downloads 15
Release Time : 3/2/2022

Model Overview

This model is specifically designed to identify hate speech in tweets, suitable for social media content moderation scenarios

Model Features

Efficient and lightweight
Based on DistilBERT architecture, reducing model size while maintaining performance
High accuracy
Achieves an F1 score of 0.7719 on the tweet_eval dataset
Social media optimized
Specifically trained for tweet content, suitable for social media scenarios

Model Capabilities

Text classification
Hate speech detection
Social media content analysis

Use Cases

Content moderation
Automatic hate speech detection
Automatically identify hate speech content on social media
F1 score 0.7719
Social media analysis
Tweet sentiment analysis
Analyze hateful content in tweets
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