Update README.md

README.md

@@ -13,11 +13,15 @@ Sentence Transformer for Assurance & Risk Question-Answering (STAR-QA) is a fine
 
 ## Evaluation Results
 
-The model was evaluated on a held-out sample from the STAR-QA dataset (see below) using `sentence-transformers.InformationRetrievalEvaluator`. Reported metrics include P/R @ 3 candidates, as well as MRR @ 10, MAP @ 10 and NDCG @ 100. This fine-tuned model was also benchmarked against its base model using the same methodology.
-
-| Model | Metric | Score |
-|-------|--------|-------|
-|test   |test    |    0.0|
+The model was evaluated on a held-out sample from the STAR-QA dataset (see below) using `sentence-transformers.InformationRetrievalEvaluator`. Reported metrics include cosine similarity of retrieved documents w/r/t ground truth P/R @ 3 candidates, as well as MRR @ 10, MAP @ 10 and NDCG @ 100. This fine-tuned model was also benchmarked against its base model using the same methodology.
+
+| Metric       | STAR-QA Score | ALL-MPNET-BASE-V2 Score |
+|--------------|---------------|-------------------------|
+|Precision @ 3 |          0.315|                    0.215|
+|Recall @ 3    |          0.324|                    0.223|
+|MRR @ 10      |          0.887|                    0.578|
+|NDCG @ 10     |           0.44|                    0.303|
+|MAP @ 100     |          0.316|                    0.209|
 
 ## Training Data