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README.md

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 # MorRoBERTa
-MorRoBERTa, designed specifically for the Moroccan Arabic 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.
+
+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.
@@ -9,3 +14,13 @@ 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