Update README.md

README.md

@@ -112,7 +112,7 @@ model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/Codebert-d
 ## Limitations
 This model is trained on 5M subset of The Vault in a self-supervised manner. Since the negative samples are generated artificially, the model's ability to identify instances that require a strong semantic understanding between the code and the docstring might be restricted.
 
-It is hard to evaluate the model due to the unavailable labeled datasets. ChatGPT is adopted as a reference to measure the correlation between the model and ChatGPT's scores. However, the result could be influenced by ChatGPT's potential biases and ambiguous conditions. Therefore, we recommend having human labeling dataset and fine-tune this model to achieve the best result.
+It is hard to evaluate the model due to the unavailable labeled datasets. GPT-3.5-turbo is adopted as a reference to measure the correlation between the model and GPT-3.5-turbo's scores. However, the result could be influenced by GPT-3.5-turbo's potential biases and ambiguous conditions. Therefore, we recommend having human labeling dataset and fine-tune this model to achieve the best result.
 
 ## Additional information
 ### Licensing Information