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Mt5 Base Wikinewssum English 100
An English summarization model fine-tuned from google/mt5-base on the wikinews dataset, suitable for news summarization tasks.
Downloads 14
Release Time : 3/2/2022
Model Overview
This model is a text summarization model based on the MT5 architecture, specifically optimized for English news content, capable of extracting key information from news texts to generate concise summaries.
Model Features
Multilingual Pretraining Foundation
Based on the MT5 architecture with strong multilingual understanding capabilities
News Summarization Optimization
Specifically fine-tuned for news content, ideal for news summarization
Lightweight Model
Base version is relatively lightweight, suitable for deployment in resource-constrained environments
Model Capabilities
Text summarization
News content understanding
Key information extraction
Use Cases
News Media
Automatic News Summarization
Automatically generate article summaries for news websites
Rouge1 score 3.909, effectively extracts key information
Content Aggregation
News Digest Generation
Automatically generate daily news digests
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