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Bert Base Arabic

Developed by asafaya
Pretrained Arabic BERT base language model supporting Modern Standard Arabic and some dialects
Downloads 14.40k
Release Time : 3/2/2022

Model Overview

This model is a BERT-based pretrained Arabic language model suitable for various Arabic natural language processing tasks.

Model Features

Large-scale Pretraining Data
Trained on approximately 8.2 billion words of Arabic corpus, including OSCAR and Wikipedia data
Dialect Support
Supports not only Modern Standard Arabic but also includes some Arabic dialect content
TPU-optimized Training
Trained for 3 million steps using Google TPU v3-8, optimizing training efficiency

Model Capabilities

Text Understanding
Text Generation
Named Entity Recognition
Text Classification

Use Cases

Social Media Analysis
Offensive Speech Detection
Used to identify offensive Arabic content on social media
Achieved good performance in SemEval-2020 Task 12
Information Extraction
Arabic NER
Used for Arabic named entity recognition tasks
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