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Led Financial Summarization Genai15

Developed by fahil2631
A fine-tuned LED model specifically for financial text summarization tasks, based on pszemraj/led-large-book-summary, developed by the Warwick Business School GEN AI GROUP 15 team
Downloads 15
Release Time : 5/7/2025

Model Overview

An abstractive summarization model for summarizing long financial documents such as financial reports and statements, capable of processing financial documents up to 8000 tokens while maintaining core content coherence

Model Features

Long Document Processing Capability
Efficiently processes financial documents up to 8000 tokens through global and local attention mechanisms
Financial Domain Optimization
Fine-tuned on the EDGAR-CORPUS financial dataset, specifically optimized for financial documents such as financial reports and 10-K filings
High-Quality Summary Generation
Uses high-quality summaries generated by ChatGPT as training targets to ensure uniform and informative summarization style

Model Capabilities

Financial Text Summarization
Long Document Processing
Abstractive Summary Generation

Use Cases

Financial Report Processing
Annual Financial Report Summarization
Automatically generates concise executive summaries for 10-K annual reports
ROUGE-1 score of 0.5121, significantly outperforming general summarization models
Quarterly Earnings Report Condensation
Extracts key financial metrics and business progress from lengthy quarterly earnings reports
Financial Regulatory Filings
EDGAR Document Summarization
Generates regulatory summaries for filings in the U.S. SEC EDGAR system
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