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Gptfuzz
A Roberta fine-tuned classification model for evaluating the toxicity level of responses.
Downloads 2,578
Release Time : 9/20/2023
Model Overview
This model is a classification model fine-tuned based on the Roberta architecture, primarily used to assess the toxicity level of text responses. The training data comes from a human-annotated dataset.
Model Features
Toxicity Evaluation
Accurately assesses the toxicity level of text responses.
Roberta Fine-tuning
Leverages Roberta's powerful pre-training capabilities for fine-tuning to enhance classification performance.
Human-annotated Dataset
Trained on a human-annotated dataset to ensure the accuracy of model evaluations.
Model Capabilities
Text Classification
Toxicity Detection
Use Cases
Content Moderation
Social Media Comment Moderation
Automatically detects toxic content in social media comments to assist platforms in content filtering.
Improves moderation efficiency and reduces manual review workload.
Online Community Management
Forum Post Moderation
Identifies toxic content in forum posts to maintain a healthy community environment.
Enhances user experience and reduces harmful content.
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