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Mtsufall2024softwareengineering
M
Mtsufall2024softwareengineering
Developed by cheaptrix
A T5-small fine-tuned model for generating summaries of U.S. Congressional bills
Downloads 30
Release Time : 9/4/2024
Model Overview
This is a text generation model specifically designed for summarizing U.S. federal legislative documents. Fine-tuned based on Google's T5-small architecture, it can extract key information from bill texts to generate concise summaries.
Model Features
Specialized Legislative Text Processing
Optimized for U.S. federal bill texts, effectively identifying key provisions in legal documents
Efficient Summary Generation
Generates concise summaries averaging 18-19 tokens with a Rouge-1 score of 0.268
Lightweight Deployment
Based on T5-small architecture, suitable for deployment in resource-constrained environments
Model Capabilities
Legal Text Comprehension
Key Information Extraction
Text Summarization
English Text Processing
Use Cases
Legislative Analysis
Quick Bill Review
Provides legislative workers with quick overviews of bill contents
Average summary length of 18.98 tokens while maintaining a Rouge-1 score of 0.268
Legislative Research Assistance
Helps researchers quickly screen relevant bills
Government Transparency
Public Information Simplification
Transforms complex bills into summaries easily understandable by the public
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