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# MorrBERT
MorrBERT is a Transformer-based Language Model designed specifically for the Moroccan Dialect.
Developed by Moussaoui Otman and El Younoussi Yacine.
## About MorrBERT
MorrBERT, specifically tailored for the Moroccan dialect, is structured identically to BERTBASE. The training process took approximately 120 hours to complete 12 epochs using the entire training set. A massive corpus of six million Moroccan dialect sentences, totaling 71 billion tokens, was utilized to train this model.
For more information, please visit our paper: https://mendel-journal.org/index.php/mendel/article/view/223/200
## Usage
The model weights can be loaded using transformers library by HuggingFace.
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("otmangi/MorrBERT")
model = AutoModel.from_pretrained("otmangi/MorrBERT")
## Acknowledgments
This research was supported through computational resources of HPC-MARWAN (www.marwan.ma/hpc) provided by the National Center for Scientific and Technical Research (CNRST). Rabat. Morocco.
## How to cite
@article{Moussaoui_El Younnoussi_2023, title={Pre-training Two BERT-Like Models for Moroccan Dialect: MorRoBERTa and MorrBERT},
volume={29}, url={https://mendel-journal.org/index.php/mendel/article/view/223},
DOI={10.13164/mendel.2023.1.055}, number={1}, journal={MENDEL}, author={Moussaoui, Otman and El Younnoussi, Yacine},
year={2023}, month={Jun.}, pages={55-61} }
## Contact
For any inquiries, feedback, or requests, please feel free to reach out to :
otman.moussaoui@etu.uae.ac.ma
yacine.elyounoussi@uae.ac.ma
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