Update README.md

README.md

@@ -71,7 +71,9 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
 ### Training Data
 
-The model was fine-tuned using the mlabonne/mini-platypus dataset, which consists of diverse text inputs designed to enhance the model's capabilities in conversational settings
+The model was fine-tuned using the mlabonne/mini-platypus dataset, which consists of diverse text inputs designed to enhance the model's capabilities in conversational settings.
+
+[mlabonne/mini-platypus](https://huggingface.co/datasets/mlabonne/mini-platypus)
 
 ### Training Procedure
 
@@ -91,12 +93,6 @@ The model was trained using bfloat16 (bf16) mixed precision, which allows for fa
 - Evaluation strategy: Evaluations are performed every 1000 steps to monitor the model's performance during training.
 
 
-### Testing Data
-
-Dataset Used: The evaluation was conducted using the same dataset, mlabonne/mini-platypus, used for training. This dataset is suitable for assessing the model's performance on casual language generation tasks.
-[mlabonne/mini-platypus](https://huggingface.co/datasets/mlabonne/mini-platypus)
-
-
 ## Model Examination
 
 Further interpretability studies can be conducted to understand decision-making processes within the model's responses.