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# MorRoBERTa
MorRoBERTa is a Transformer-based Language Model designed specifically for the Moroccan Dialect.
Developed by Moussaoui Otman and El Younoussi Yacine.
## About MorRoBERTa
MorRoBERTa, designed specifically for the Moroccan dialect, is a scaled-down variant of the RoBERTa-base model. It comprises 6 layers, 12 attention heads, and 768 hidden dimensions. The training process spanned approximately 92 hours, covering 12 epochs on the complete training set. A vast corpus of six million Moroccan dialect sentences, amounting to 71 billion tokens, was used 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/MorRoBERTa")
model = AutoModel.from_pretrained("otmangi/MorRoBERTa")
## 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
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