Update README.md

README.md

@@ -26,14 +26,10 @@ This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingf
 
 The model was developed for the project [HealthScirbe](https://github.com/hari-krishnan-88/HealthScribe-Clinical_Note_Generator). This model is integrated with a Flask web application. The project is a web application that allows users to generate clinical notes from transcribed ASR(Automatic Speech Recognition) data of conversations between doctors and patients.
 
-## Intended uses & limitations
-
-The model is used to generate clinical notes from doctor-patient conversation data(ASR). This model has certain limitations like : 
-- N/A output generation is low. Sometimes None is produced
-- When the input data is composed of very minimal character tokens or if input is very large it starts to hallucinate. 
+### TEST DATA Sample For Inference (More given in [`test.txt`](https://huggingface.co/har1/HealthScribe-Clinical_Note_Generator/blob/main/test.txt))
 
+You can refer [`test.txt`](https://huggingface.co/har1/HealthScribe-Clinical_Note_Generator/blob/main/test.txt) for further examples of conversations.
 
-### TEST DATA Sample For Inference (More given in [`test.txt`](https://huggingface.co/har1/HealthScribe-Clinical_Note_Generator/blob/main/test.txt))
 ```
 "Doctor: Hi there, I love that dress, very pretty! 
 Patient: Thank you for complementing a seventy-two-year-old patient.
@@ -51,6 +47,16 @@ Doctor: Great.
 Patient: Yeah."
 ```
 
+
+## Intended uses & limitations
+
+The model is used to generate clinical notes from doctor-patient conversation data(ASR). This model has certain limitations like : 
+- N/A output generation is low. Sometimes None is produced
+- When the input data is composed of very minimal character tokens or if input is very large it starts to hallucinate. 
+
+
+# Training Metrics
+
 ## Training and evaluation data
 
 The model achieves the following results on the evaluation set: