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Mt5 Base Cnn Then Norsumm
M
Mt5 Base Cnn Then Norsumm
Developed by GloriaABK1
A text summarization model trained based on the mt5-base architecture, capable of extracting key information from text to generate summaries.
Downloads 105
Release Time : 4/25/2025
Model Overview
This model is a text summarization model trained on the mt5-base architecture, primarily used for generating concise summaries from long texts. It demonstrates certain summarization capabilities on evaluation datasets, with ROUGE metrics indicating its ability to capture key information from the original text.
Model Features
Based on mt5-base architecture
Utilizes the mature mt5-base architecture, which provides strong text understanding and generation capabilities.
Text summarization capability
Capable of extracting key information from long texts to generate concise summaries.
Multi-round training optimization
After 5 rounds of training, ROUGE metrics show gradual performance improvement.
Model Capabilities
Text summarization generation
Key information extraction
Use Cases
Content Summarization
News Summarization
Automatically generates brief summaries of news articles
ROUGE1 score around 30, indicating effective capture of main information
Document Summarization
Generates executive summaries for long documents
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