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Hate Speech Detection With Target Bert Large Portuguese Cased
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Hate Speech Detection With Target Bert Large Portuguese Cased

Developed by willianr
A Portuguese hate speech detection model fine-tuned based on neuralmind/bert-large-portuguese-cased, achieving an accuracy of 98.92%
Text Classification
Transformers
Open Source License:MIT#Portuguese hate speech detection#BERT-large fine-tuning#High accuracy (98.9%)
Downloads 31
Release Time : 1/29/2025

Model Overview

This model is specifically designed for detecting hate speech in Portuguese, fine-tuned on the BERT-large architecture, suitable for scenarios such as social media content moderation

Model Features

High accuracy
Achieves 98.92% accuracy on the validation set
Portuguese optimization
Fine-tuned based on a BERT-large model specifically optimized for Portuguese
Efficient training
Requires only 20 training rounds to achieve excellent performance

Model Capabilities

Portuguese text classification
Hate speech recognition
Social media content analysis

Use Cases

Content moderation
Social media hate speech filtering
Automatically identifies and flags hate speech in Portuguese social media
98.92% accuracy
Online community management
Assists forums and community platforms in detecting inappropriate content
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