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T5 Base Indonesian Summarization Cased

Developed by cahya
A T5-based summarization model optimized for Indonesian language, fine-tuned from huseinzol05's bahasa model, suitable for Indonesian text summarization tasks
Downloads 1,003
Release Time : 3/2/2022

Model Overview

This model is an Indonesian text summarization model based on the T5 architecture, fine-tuned on the Liputan6 news dataset, capable of generating high-quality Indonesian text summaries

Model Features

Indonesian language optimization
Specially optimized for Indonesian text characteristics, excelling in Indonesian summarization tasks
T5 architecture advantages
Based on the powerful T5 (text-to-text) architecture, unifying various NLP tasks
News domain adaptation
Fine-tuned using Indonesian news dataset (Liputan6), particularly suitable for news text summarization

Model Capabilities

Indonesian text summarization
Long text compression
Key information extraction

Use Cases

News media
Automatic news summarization
Generate concise summaries for Indonesian news articles
Can generate summaries within 80 words while retaining key information
Content analysis
Document key information extraction
Extract core content from long Indonesian documents
Effectively identifies document main ideas and key points
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