updating the readme

README.md

@@ -20,11 +20,8 @@ tags:
 
 ## Model
 1. Multi-head neural network. One head is used for each feature (description, requirements, and benefits of the job).
-2. Best metrics achieved:
-    - Precision: 0.83
-    - Recall: 0.65
-    - F1-score: 0.71
-    - 
+2. Best metrics achieved (over validation data-split): Precision: 0.83, Recall: 0.65, F1-score: 0.71
+      
 ### Components:
 Text Encoder: distilbert-base-uncased is used to encode the textual input into a dense vector.