# 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.

## 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.

## 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