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T5 Small Text Summarization

Developed by bhuvaneswari
A text summarization model fine-tuned on the xsum dataset based on the T5-small architecture, capable of generating concise summaries.
Downloads 27
Release Time : 4/25/2025

Model Overview

This model is a T5-small version specifically optimized for text summarization tasks, primarily used to extract key information from long texts and generate concise summaries.

Model Features

Efficient Summarization
Fine-tuned on the xsum dataset, capable of generating high-quality text summaries.
Lightweight Model
Based on the T5-small architecture with a moderate parameter size, suitable for resource-limited environments.
Standardized Evaluation
Performance evaluated using ROUGE metrics, ensuring strong comparability of results.

Model Capabilities

Text Summarization
Long Text Compression
Key Information Extraction

Use Cases

News Summarization
News Article Summarization
Automatically generates concise summaries of news articles.
ROUGE-1 score 28.69
Document Processing
Report Summarization
Extracts key information from long reports to generate executive summaries.
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