B

Bart Base Squad Qg

Developed by lmqg
This is a question generation model fine-tuned on the BART-base architecture, specifically designed to generate relevant questions from given text and answers.
Downloads 57
Release Time : 3/2/2022

Model Overview

This model is fine-tuned on facebook/bart-base for question generation tasks on the SQuAD dataset, capable of generating relevant questions based on highlighted answers in the text.

Model Features

High-Quality Question Generation
Fine-tuned on the SQuAD dataset, capable of generating questions highly relevant to the context and answers.
Multi-Metric Evaluation
Provides evaluation results for multiple metrics including BLEU, METEOR, and ROUGE-L.
Out-of-Domain Adaptability
Evaluated on multiple out-of-domain datasets, demonstrating strong generalization capabilities.

Model Capabilities

Text Generation
Question Generation
Natural Language Processing

Use Cases

Education
Automated Reading Comprehension Question Generation
Automatically generates reading comprehension questions based on textbook content.
Generated questions are highly relevant to the original text.
Content Creation
Article-Specific Question Generation
Generates discussion questions for news articles.
Helps readers better understand and reflect on the article content.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase