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Mt5 Base Finetuned Spanish

Developed by eslamxm
Text summarization model fine-tuned on the wiki_lingua Spanish dataset based on google/mt5-base
Downloads 177
Release Time : 6/14/2022

Model Overview

This model is specifically designed for abstractive summarization tasks in Spanish, with improved performance in Spanish text processing through fine-tuning.

Model Features

Spanish optimization
Fine-tuned specifically for Spanish text, improving the quality of summarization in this language
Abstractive summarization capability
Capable of generating abstractive text summaries beyond simple extraction
Multi-task training
Based on the mT5 architecture, capable of handling various text tasks

Model Capabilities

Spanish text comprehension
Abstractive summarization
Text compression

Use Cases

Content summarization
News article summarization
Automatically generate key summaries of Spanish news articles
Rouge-1 score 28.11
Document compression
Condense long documents into concise Spanish summaries
Average generation length 18.73 tokens
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