Update README.md

README.md

@@ -14,7 +14,7 @@ tags:
 - 'LoRA '
 ---
 
-# Model Card for mathGemma-2-9b
+# Model Card for gemmath-2-9b
 
 This model is based on the Gemma-2-9b architecture and has been fine-tuned using two math problem datasets to improve its accuracy in solving mathematical tasks.
 
@@ -49,7 +49,7 @@ The model was evaluated using the **MathQA test dataset(2985 examples)** with **
 | Llama-3.2-3b-Instruct | 23.48         |
 | Qwen2-Math-7B-Instruct| 33.13	        |
 | Qwen2.5-7B-Instruct   | 38.69         |
-| **mathGemma-2-9b**    | **48.91**     |
+| **gemmath-2-9b**    | **48.91**     |
 
 
 ## How to Get Started with the Model
@@ -57,7 +57,7 @@ The model was evaluated using the **MathQA test dataset(2985 examples)** with **
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-local_model_path = "Dasool/mathGemma-2-9b"
+local_model_path = "Dasool/gemmath-2-9b"
 tokenizer = AutoTokenizer.from_pretrained(local_model_path)
 model = AutoModelForCausalLM.from_pretrained(local_model_path)
 
@@ -101,4 +101,4 @@ The evaluation is based solely on accuracy for a 5-option multiple-choice task.
 
 If you have any questions or feedback, feel free to contact:
 - Email: [email protected]
-- GitHub: [Repository](https://github.com/Dasol-Choi/mathGemma-2-9b)
+- GitHub: [Repository](https://github.com/Dasol-Choi/gemmath-2-9b)