bertimbau-base-finetuned-brazilian_court_decisions
| Property | Value |
|---|---|
| Parameter Count | 109M |
| License | MIT |
| Base Model | neuralmind/bert-base-portuguese-cased |
| Accuracy | 77.53% |
What is bertimbau-base-finetuned-brazilian_court_decisions?
This is a specialized NLP model fine-tuned on Brazilian court decisions, based on the BERTimbau architecture. It's designed to process and classify legal texts in Portuguese, leveraging the power of transformer-based architectures to understand complex legal language.
Implementation Details
The model was trained using a careful fine-tuning process with specific hyperparameters including a learning rate of 2e-05, batch size of 16, and linear learning rate scheduling over 5 epochs. It achieved significant performance metrics including 77.53% accuracy, 72.50% macro precision, and an F1 score of 0.77.
- Trained on Brazilian court decision dataset
- Uses PyTorch framework
- Implements TensorBoard for training visualization
- Supports multi-class classification
Core Capabilities
- Legal text classification in Portuguese
- Processing of complex court decisions
- Multi-class prediction capabilities
- Optimized for Brazilian legal terminology
Frequently Asked Questions
Q: What makes this model unique?
This model specializes in Brazilian legal text analysis, with specific optimization for court decisions and legal documentation. It combines the power of BERT architecture with domain-specific training on legal content.
Q: What are the recommended use cases?
The model is ideal for automated legal document classification, court decision analysis, legal research assistance, and any NLP tasks involving Brazilian legal texts.
