Update README.md

README.md

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 # Identifier-Renaming
-Generating higher quality identifier names by using context and following conventions with RLHF <br>
-0.0 is used to generate the csv dataset from the .java files after 4.0 <br>
-1.0 is code for the classifier to predict the number of mask tokens to insert in for the variable name <br>
-2.2-all is used for finetuning the GraphCodeBert model on variable names <br>
-4.0 is used to create the dataset. Repositories are cloned and this code file iterates over all the files and preprocesses them for creation of dataset.<br>
-procTest.ipynb processes the text generated while evaluating the trained model and generates relevant graphs<br>
-class_eval.py is used to evaluate the performance of the classifer <br>
-identifier_scoring.py uses two non-fine-tuned models GraphCodeBERT and CodeBERT for the metric<br>
-stat_sampling.py evaluates the use of random sampling technique to predict number of mask tokens<br>
-model_eval.py is the code to evaluate the trained model<br>
-model_test.csv is the subset of data used to evaluate the model<br>
-test.csv is the dataset used for the evaluation of the readability metric and the fine-tuned model <br>
+Generating higher quality identifier names by using context and following conventions <br>
+