Update README.md

README.md

@@ -57,12 +57,11 @@ The training datasets for the model consist of a balanced set totaling 840 examp
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66741cdd8123010b8f63f965/aGE-QqyzAN-zB13f8z3mQ.png)
 
-The dataset is divided in proportions 80/10/10 for training, testing and evaluation respectively. After fine-tuning on the training dataset, 
+The model was then tested on a smaller evaluation dataset, achieving an f1 score of 0.807. The evaluation dataset is distributed as such:
 
 
-We achieved an f1 score of 0.807 on evaluation dataset.
-
 
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66741cdd8123010b8f63f965/5MOK5L7Tq9Ff64t0rPo17.png)