# 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.

## 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")