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T5 Small Finetuned Cnn News
A text summarization model fine-tuned on the CNN/DailyMail news dataset based on the T5-small model, capable of generating concise summaries of news articles.
Downloads 25
Release Time : 7/19/2022
Model Overview
This model is a fine-tuned version of the T5-small architecture, specifically optimized for news summarization tasks, capable of extracting key information from news articles to generate concise summaries.
Model Features
News Summarization Optimization
Fine-tuned specifically on the CNN/DailyMail news dataset, performing well on news summarization tasks.
Efficient Inference
Based on the T5-small architecture, it maintains good performance while offering high inference efficiency.
End-to-End Generation
Adopts a sequence-to-sequence architecture, directly generating summary text from the original content.
Model Capabilities
Text Summarization Generation
News Content Compression
Key Information Extraction
Use Cases
News Media
Automatic News Summarization
Automatically generates article summaries for online news platforms.
Rouge1 score of 24.72, effectively capturing key information from articles.
Content Preview Generation
Generates content previews for news aggregation applications.
Research Assistance
Rapid Literature Review
Helps researchers quickly grasp the main content of lengthy articles.
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