Bertimbau_hate_speech Open-source Hate Speech Classifier - Accurately Identify Portuguese Hate Speech

Bertimbau Hate Speech

Developed by Nelci

A hate speech classifier fine-tuned on the BERT-large Portuguese model, achieving 78.14% accuracy on the hate_speech_portuguese dataset

Text Classification

Transformers

Open Source License:MIT #Portuguese hate speech detection #BERT fine-tuned model #High accuracy classification

Downloads 17.92k

Release Time : 8/14/2023

Model Overview

This model is specifically designed for hate speech detection in Portuguese text, suitable for scenarios such as content moderation

Model Features

Portuguese optimization

Based on the BERT-large architecture specifically optimized for Portuguese

Hate speech detection

Classifier specifically trained for Portuguese hate speech content

High accuracy

Achieves 78.14% classification accuracy on the evaluation set

Model Capabilities

Portuguese text classification

Hate speech recognition

Content safety detection

Use Cases

Content moderation

Social media content filtering

Automatically identify and flag hate speech in Portuguese social media

78.14% accuracy

Online community management

Help forum administrators automatically detect inappropriate content

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	302	0.4593	0.7756
0.4361	2.0	604	0.5009	0.7814

Property	Details
Model Type	Fine - tuned version of neuralmind/bert - large - portuguese - cased
Training Data	hate_speech_portuguese
Metrics	accuracy

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Bertimbau Hate Speech

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 bertimbau_hate_speech

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

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📄 License

📦 Information Table