Update README.md

README.md

@@ -9,7 +9,7 @@ metrics:
 
 ## Model Details
 
-A Gemma2B-it model finetuned on 
+A Gemma2B-it model finetuned on Medical-Data
 
 ### Model Description
 
@@ -93,7 +93,7 @@ You can use the following commands to install them:
 
 #### Preprocessing [optional]
 
-Certainly! Let's go through your code and identify the parts responsible for dataset preprocessing:
+
 
 ```python
 dataset = load_dataset("mamachang/medical-reasoning")
@@ -171,8 +171,6 @@ These hyperparameters control various aspects of the training process, such as q
 
 ## Evaluation
 
-Sure! Let's delve into the evaluation process based on your code:
-
 ```python
 trainer = SFTTrainer(
     model=model,