Spanish Offensive Language Bert Base Spanish Wwm Cased
A BERT-based model for detecting offensive language in Spanish, fine-tuned on a Spanish offensive language dataset.
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Release Time : 12/11/2023
Model Overview
This model is designed for Spanish text classification, specifically for detecting offensive language. It is fine-tuned from the dccuchile/bert-base-spanish-wwm-cased model and achieves an F1 score of 0.586 on the evaluation set.
Model Features
Spanish-specific
Fine-tuned from a Spanish pre-trained model, providing better understanding of Spanish text.
Offensive language detection
Specifically designed to classify and identify offensive content in Spanish.
Whole Word Masking
Uses a whole word masking pre-training strategy to enhance the model's understanding of Spanish.
Model Capabilities
Spanish text classification
Offensive content identification
Natural language understanding
Use Cases
Content moderation
Social media content filtering
Automatically detects offensive content in Spanish social media posts.
F1 score 0.586
Online community management
Helps forum administrators identify and filter inappropriate comments.
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