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Distilroberta Finetuned Tweets Hate Speech
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Distilroberta Finetuned Tweets Hate Speech
Developed by mrm8488
This is a model fine-tuned on a tweet hate speech detection dataset, designed to identify and classify hate speech on social media.
Downloads 23
Release Time : 3/2/2022
Model Overview
This model is based on the distilroberta-base architecture, specifically designed to detect hate speech content in tweets, achieving a validation accuracy of 0.98.
Model Features
High accuracy
Achieves a validation accuracy of 0.98 on the tweet hate speech detection task.
Lightweight model
Based on the distilroberta-base architecture, it is more lightweight and efficient compared to the full RoBERTa model.
Social media optimization
Specifically optimized for tweet formats and the linguistic characteristics of social media.
Model Capabilities
Text classification
Hate speech identification
Social media content analysis
Use Cases
Content moderation
Social media hate speech filtering
Automatically identifies and flags hate speech content on social media platforms
Improves content moderation efficiency and reduces manual review workload
Research and analysis
Hate speech trend research
Analyzes the distribution and trends of hate speech on social media
Provides data support for sociological research
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