| # 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 : | |
| [email protected] | |
| [email protected] | |