Update README.md

README.md

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 # Motivation : 
-The goal of this project is to adapt large language models for the Arabic language. Due to the scarcity of Arabic instruction fine-tuning data, the focus is on creating a high-quality instruction fine-tuning (IFT) dataset. The project aims to finetune models on this dataset and evaluate their performance across various benchmarks.
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+The goal of the project was to adapt large language models for the Arabic language and create a new state-of-the-art Arabic LLM. Due to the scarcity of Arabic instruction fine-tuning data, not many LLMs have been trained specifically in Arabic, which is surprising given the large number of Arabic speakers.  
+Our final model was trained on a high-quality instruction fine-tuning (IFT) dataset, generated synthetically and then evaluated using the Hugging Face Arabic leaderboard.
 
 # Training : 
 This model is the 2B version. It was trained for 2 days on 1 A100 GPU using LoRA with a rank of 128, a learning rate of 1e-4, and a cosine learning rate schedule.
@@ -33,3 +35,5 @@ This model is the 2B version. It was trained for 2 days on 1 A100 GPU using LoRA
 | RACE                 | 36.19               |
 | SCIQ                 | 55.78               |
 | TOXIGEN              | 78.29               |
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+Please refer to https://github.com/Slim205/Arabicllm/ for more details.