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Sinmt5 Tuned

Developed by Hamza-Ziyard
A summary generation model fine-tuned on an unknown dataset based on Google's mT5 model, supporting multilingual text summarization tasks
Downloads 53
Release Time : 5/7/2023

Model Overview

This model is a fine-tuned text summarization generation model based on the mT5 architecture, specifically designed to generate concise summaries from input texts. It performs excellently in evaluations, achieving a Rouge1 score of 20.25.

Model Features

Multilingual Support
Based on the mT5 architecture, it potentially supports text summarization tasks in multiple languages
Efficient Summarization
Achieves a Rouge1 score of 20.2531 in evaluations, capable of generating high-quality text summaries
Fine-Tuning Optimization
Specially fine-tuned on the base mT5 model, potentially optimized for specific domains or tasks

Model Capabilities

Text Summarization
Multilingual Text Processing

Use Cases

Content Summarization
News Summarization
Automatically generates brief summaries of news articles
A Rouge1 score of 20.25 indicates good summary quality
Document Summarization
Generates executive summaries for long documents
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