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Mt5 Base Wikinewssum English
An English summarization generation model fine-tuned based on google/mt5-base, excelling at extracting key information from text to generate concise summaries.
Downloads 16
Release Time : 3/2/2022
Model Overview
This model is a text summarization generation model based on the mT5 architecture, specifically optimized for English text, capable of extracting key information from input text and generating coherent summaries.
Model Features
Efficient Summarization Generation
Capable of quickly processing text and generating high-quality summaries.
Based on mT5 Architecture
Utilizes the multilingual T5 model architecture with strong text comprehension capabilities.
Fine-tuning Optimization
Fine-tuned on specific datasets to enhance the professionalism of summarization generation.
Model Capabilities
Text Summarization Generation
Key Information Extraction
English Text Processing
Use Cases
News Summarization
News Article Summarization
Automatically generates concise summaries of news articles.
Rouge1 score 8.9565
Document Processing
Long Document Summarization
Generates executive summaries for lengthy documents.
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