Update README.md

README.md

@@ -11,11 +11,11 @@ tags:
 
 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.
 
-* Model Name: ArabianGPT
-* Architecture: GPT-2
 
 | Specification         | Value    |
 |-----------------------|----------|
+| Model Name            | ArabianGPT|
+| Architecture          |GPT-2     |
 | Layers                | 12       |
 | MAL (Model Attention Layers) | 12 |
 | Model Size            | 134M     |
@@ -36,7 +36,6 @@ ArabianGPT is a custom-trained version of the GPT-2 base model, specifically tai
 | ArabianGPT-base  | NDIVIA A100   | 7.5M                            | 512       | 313.5K       | 3              | 3.97           |
 
 
-> [!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
@@ -66,8 +65,7 @@ pipe.predict(text)
 ```
 
 # Limitations
-> [
-!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