| # 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 | |