Update README.md

README.md

@@ -10,9 +10,10 @@ We used a few tricks during training to optimize classification results.
 
 Fine-tuning was done for 1 epoch with 8:2 train/validation split. Recorded a validation accuracy of 99% for both GPT Wiki intro and HC3 after the 1st epoch.
 
-This model recorded an accuracy of **93.467%** on the public leaderboard of Kaggle's [Detect ChatGPT Answers Contest](https://www.kaggle.com/competitions/ml-olympiad-detect-chatgpt-answers/data)
+This model recorded an accuracy of **93.467%** on the public leaderboard and **94.00%** on the private leaderboard of Kaggle's [Detect ChatGPT Answers Contest](https://www.kaggle.com/competitions/ml-olympiad-detect-chatgpt-answers/data)
 
 
+### Example Usage 
 ```python
 from transformers import * 
 import numpy as np