M

Mbert Xquad Ar

Developed by Zaid
Model fine-tuned on the Zaid/xquad_ar Arabic QA dataset based on bert-base-multilingual-cased
Downloads 15
Release Time : 1/5/2023

Model Overview

This model is a multilingual BERT optimized for Arabic QA tasks, suitable for Arabic reading comprehension tasks

Model Features

Multilingual support
Based on multilingual BERT architecture, supporting processing of multiple languages including Arabic
QA task optimization
Specifically fine-tuned for Arabic QA tasks, trained on the xquad_ar dataset
Efficient training
Utilizes Adam optimizer and linear learning rate scheduler for efficient training

Model Capabilities

Arabic reading comprehension
Question answering system processing
Text understanding

Use Cases

Education
Arabic learning assistance
Helps students understand and answer questions from Arabic reading materials
Customer service
Arabic FAQ system
Building automated QA systems for Arabic-speaking users
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase