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Mt5 Small Finetuned Cnndailymail En

Developed by Skier8402
A summarization model fine-tuned on the cnn_dailymail dataset based on google/mt5-small
Downloads 16
Release Time : 2/23/2024

Model Overview

This model is a sequence-to-sequence model optimized for English news summarization tasks, capable of extracting key information from news articles to generate concise summaries.

Model Features

News Summarization Optimization
Fine-tuned specifically for the CNN/DailyMail news dataset, excels at extracting key information from news articles
Lightweight Model
Based on the mt5-small architecture, it maintains good performance while requiring lower computational resources
Multi-round Training Optimization
Fine-tuned over 10 rounds with gradual improvement in ROUGE metrics

Model Capabilities

Text Summarization
News Content Compression
Key Information Extraction

Use Cases

News Media
Automatic News Summarization
Generates concise summaries for long news articles
ROUGE-1 score 0.2945
Content Preview Generation
Generates article previews for news aggregation platforms
Research Assistance
Literature Summarization
Helps researchers quickly grasp the core content of lengthy documents
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