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Check out the documentation for more information.
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 :
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