legal-roberta-base
| Property | Value |
|---|---|
| License | Apache 2.0 |
| Training Data Size | 4.6GB |
| Base Architecture | RoBERTa |
| Training Steps | 446,500 |
What is legal-roberta-base?
legal-roberta-base is a specialized language model fine-tuned on extensive legal corpora, built upon the RoBERTa architecture. The model was trained on 4.6GB of legal texts from patent litigations, case law, and Google Patents Public Data, making it particularly adept at understanding and processing legal language.
Implementation Details
The model was fine-tuned from the RoBERTa-base checkpoint using a learning rate of 5e-5 with decay, running for 3 epochs across 446,500 steps. Training achieved a final perplexity of 2.2735, demonstrating strong performance on legal domain text understanding.
- Training utilized patent litigation data covering 74,000 cases
- Incorporated Case Law Access Project data spanning 360 years of US case law
- Integrated Google Patents Public Data for comprehensive patent analysis
Core Capabilities
- Advanced legal text completion and understanding
- Specialized legal terminology recognition
- Multi-label legal text classification
- Legal catchphrase retrieval
Frequently Asked Questions
Q: What makes this model unique?
The model's specialization in legal text processing, trained on a diverse range of legal documents including patent litigations, case law, and patent data, makes it particularly effective for legal domain tasks.
Q: What are the recommended use cases?
The model excels in legal document analysis, contract understanding, case law research, and legal text classification tasks. It's particularly suitable for applications requiring deep understanding of legal terminology and context.
