# AraBART

**Repository Path**: modelee/AraBART

## Basic Information

- **Project Name**: AraBART
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 3
- **Forks**: 1
- **Created**: 2023-05-24
- **Last Updated**: 2025-07-17

## Categories & Tags

**Categories**: llm

**Tags**: None

## README

---
tags:
- summarization
- bart

language:
- ar
widget:
- text: بيروت هي عاصمة <mask>.

license: apache-2.0

pipeline_tag: "fill-mask"
---

AraBART is the first Arabic model in which the encoder and the decoder are pretrained end-to-end, based on BART. AraBART follows the architecture of BART-Base
which has 6 encoder and 6 decoder layers and 768 hidden dimensions. In total AraBART has 139M parameters.

AraBART achieves the best performance on multiple abstractive summarization datasets, outperforming strong baselines including a pretrained Arabic BERT-based models and multilingual mBART and mT5 models.