Update README.md

README.md

@@ -15,6 +15,7 @@ tags:
 * Model Size: 134M
 * Context Window Size: 768
 
+> [! NOTE]
 > ArabianGPT is a custom-trained version of the GPT-2 base model, specifically tailored for the Arabic language. It is designed to understand and generate Arabic text, making it suitable for various natural language processing tasks in Arabic.
 
 # Training
@@ -25,7 +26,9 @@ tags:
 * Number of Parameters : 134 M Params
 * Steps: 337,500
 * Loss: 3.97
-* The model was trained on the Abu Elkhiar dataset, a comprehensive Arabic text corpus encompassing a wide range of topics. The training process focused on adapting the model to understand the nuances and complexities of the Arabic language.
+
+> [!NOTE]
+> The model was trained on the Abu Elkhiar dataset, a comprehensive Arabic text corpus encompassing a wide range of topics. The training process focused on adapting the model to understand the nuances and complexities of the Arabic language.
 
 # Tokenizer
 Type: Custom trained SentencePiece tokenizer
@@ -36,7 +39,6 @@ Vocabulary Size: 64K
 More info about AraNizer can be found here [Link](https://github.com/omarnj-lab/aranizer/tree/main)
 
 
-
 # Usage
 ArabianGPT can be used for text generation tasks in Arabic.
 
@@ -55,12 +57,14 @@ pipe.predict(text)
 ```
 
 # Limitations
-As with any language model, ArabianGPT may have limitations in understanding context or generating text in certain scenarios. Users should be aware of these limitations and use the model accordingly.
+> [!TIP]
+> As with any language model, ArabianGPT may have limitations in understanding context or generating text in certain scenarios. Users should be aware of these limitations and use the model accordingly.
 
 # Ethical Considerations
 We emphasize responsible usage of ArabianGPT. Users should ensure that the generated text is used ethically and does not propagate misinformation or harmful content.
 
 # Citation
+
 If you use ArabianGPT in your research or application, please cite it as follows:
 
 ```
@@ -72,7 +76,7 @@ If you use ArabianGPT in your research or application, please cite it as follows
 }
 ```
 # Acknowledgments
-We thank Prince Sultan University, especially the Robotics and Internet of Things Lab, for their support.
+> We thank Prince Sultan University, especially the Robotics and Internet of Things Lab, for their support.
 
 # Contact
 For inquiries regarding ArabianGPT, please contact onajar@psu.edu.sa.