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Mt5 Small Finetuned Cnn Dailymail En Nlp Course Chapter7 Section4
A summarization model fine-tuned from google/mt5-small on the CNN/DailyMail dataset, suitable for English text summarization tasks.
Downloads 68
Release Time : 1/17/2024
Model Overview
This model is a text summarization generation model fine-tuned based on the MT5-small architecture, specifically optimized for news text summarization tasks.
Model Features
Efficient summarization generation
Optimized for news texts, capable of quickly generating concise and accurate summaries.
Based on MT5 architecture
Utilizes the multilingual T5 model architecture with strong text comprehension capabilities.
Lightweight model
The small version is suitable for deployment in resource-limited environments.
Model Capabilities
English text summarization generation
News content distillation
Long text compression
Use Cases
News media
Automatic news summarization
Automatically generates brief summaries of news articles
Rouge1 score 33.1, Rouge2 score 17.2
Content analysis
Key information extraction from long documents
Extracts core content from lengthy documents
RougeLsum score 31.06
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