Update README.md

Added test metrics

README.md

@@ -23,6 +23,10 @@ It achieves the following results on the evaluation set:
 - Loss: 0.2458
 - Accuracy: 0.9345
 
+Tests metrics:
+- loss: 0.23798689246177673
+- accuracy: 0.9321285694578563
+
 ## Model description
 
 Captures prediction based on LoRA-adapted RoBERTa-large. This includes labels 0-12 but excluding 9 (criminality).