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T5 Base Cnn Dm
This model is a fine-tuned T5 architecture for news summarization, trained on the CNN/DailyMail news dataset.
Downloads 808
Release Time : 3/2/2022
Model Overview
A text generation model specifically designed for news summarization, capable of compressing lengthy articles into concise summaries.
Model Features
News Summarization Optimization
Fine-tuned specifically for news content to generate summaries that better match journalistic style.
Medium-Scale Model
Based on the T5-base architecture, balancing performance and computational resource requirements.
Public Dataset Training
Trained and evaluated using the widely recognized CNN/DailyMail dataset.
Model Capabilities
Text Summarization
News Content Understanding
Key Information Extraction
Use Cases
News Media
Automatic News Summarization
Automatically generates article summaries for online news platforms.
ROUGE-1 score of 24.1585, effectively capturing key points of articles.
Content Preview Generation
Generates content previews for news aggregation applications.
Average generated text length of about 19 tokens, suitable for previews.
Research Analysis
Rapid Literature Review
Helps researchers quickly understand the content of large volumes of literature.
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