Update README.md

README.md

@@ -75,7 +75,7 @@ The model was fine-tuned on a comprehensive dataset comprising a combination of
 
 ## Training Procedure
 
-The `Arabic-Llama-Prompt-Guard-2-86M-Finetuned` model was fine-tuned from the `meta-llama/Llama-Prompt-Guard-2-86M` base model. The fine-tuning process involved a custom training loop, where the model's classifier head was adapted to output binary classifications (safe/unsafe). The training utilized a concatenated dataset, ensuring a diverse exposure to both benign and malicious Arabic prompts. The model was trained with a focus on improving detection accuracy for Arabic adversarial inputs.
+The `Ara-Prompt-Guard-V1` model was fine-tuned from the `meta-llama/Llama-Prompt-Guard-2-86M` base model. The fine-tuning process involved a custom training loop, where the model's classifier head was adapted to output binary classifications (safe/unsafe). The training utilized a concatenated dataset, ensuring a diverse exposure to both benign and malicious Arabic prompts. The model was trained with a focus on improving detection accuracy for Arabic adversarial inputs.
 
 ## Evaluation Results