R

Rut5 Base Summ

Developed by d0rj
A Russian text and dialogue summarization model fine-tuned based on ruT5-base, supporting multi-domain Russian text summarization tasks
Downloads 207
Release Time : 6/21/2023

Model Overview

This model is a T5 model specifically optimized for Russian text summarization tasks, capable of generating summaries for various types of texts such as dialogues, news, and meeting minutes

Model Features

Multi-domain Adaptation
Incorporates training data from multiple domains such as dialogues, news, and Wikipedia, ensuring broad applicability
Bilingual Support
Model description indicates support for both Russian and English processing capabilities
Complete Training State Preservation
Retains optimizer and trainer states, supporting continued fine-tuning

Model Capabilities

Russian Text Summarization Generation
Dialogue Content Compression
Multi-domain Text Summarization
Meeting Minutes Simplification

Use Cases

Academic Research
Paper Summarization Generation
Automatically generates concise summaries of research papers
ROUGE-L 24.23 (samsum test set)
Business Applications
Meeting Minutes Generation
Automatically extracts core content from meeting dialogues
Validated on the rudialogsum_v2 dataset
News Media
News Brief Generation
Compresses lengthy news reports into key information summaries
Trained on mlsum and gazeta datasets
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase