Update README.md

README.md

@@ -11,7 +11,6 @@ Generating higher quality variable names for code by renaming masked variable na
 
 
 - **Developed by:** SMART Lab, Dalhousie University
-- **Funded by:** [More Information Needed]
 - **Model type:** Masked Language model
 - **Language(s) (NLP):** Coded in Python to handle Java code
 - **Finetuned from model:** GraphCodeBERT
@@ -35,21 +34,20 @@ The code snippets must ideally be entire classes for best results. A prediction
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 This non-fine-tuned version of the model is designed for generic code completion tasks. The fine-tuned model is designed to focus solely on identifier names.<br>
 Ensure all instances of a particular variable name are masked.
-[More Information Needed]
 
 ## Bias, Risks, and Limitations
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 Training is only done for a relatively small dataset and few epochs, and thus, the model might be under-trained. <br>
 Even with the correct output, the syntax of the model can be occasionally dubious.<br>
-Model is not perfect and identifier renamings must be reviewed till performance in test settings is not evaluated.
+The model is not perfect, and identifier renamings must be reviewed till performance in test settings is not evaluated.
 
 
 ### Recommendations
 
 <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
 
-Use model as described and verify outputs before using them.
+Use the model as described and verify outputs before using them.
 ## How to Get Started with the Model
 
 Clone the repository and load model state dict using 'model_26_2'