Update README.md

README.md

@@ -162,6 +162,20 @@ model-index:
 This is a [sentence-transformers](https://www.SBERT.net) model finetuned on NFCorpus from [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2).
 It is specialised for Information retrieval (IR). Here is the relative improvement compared to the original model:
 
+| Metric              | Value      | Value after finetuning |
+|:--------------------|:-----------|:-----------------------|
+| cosine_accuracy@1   | 0.34       | 0.49                   |
+| cosine_accuracy@3   | 0.57       | 0.68                   |
+| cosine_accuracy@5   | 0.64       | 0.76                   |
+| cosine_accuracy@10  | 0.72       | 0.83                   |
+|   cosine_ndcg@10    | 0.26       | 0.39                   |
+| cosine_mrr@10       | 0.47       | 0.58                   |
+| cosine_map@100      | 0.12       | 0.26                   |
+
+More information on training and dev can be found below.
+
+
+ 'dev_cosine_ndcg@10': 0.2596277626513332, 'dev_cosine_mrr@10': 0.46781182637664115, 'dev_cosine_map@100': 0.12158349529658409
 ## Model Details
 
 ### Model Description
@@ -265,14 +279,6 @@ You can finetune this model on your own dataset.
 | cosine_accuracy@3   | 0.6821     |
 | cosine_accuracy@5   | 0.7593     |
 | cosine_accuracy@10  | 0.8333     |
-| cosine_precision@1  | 0.4383     |
-| cosine_precision@3  | 0.3765     |
-| cosine_precision@5  | 0.3556     |
-| cosine_precision@10 | 0.3006     |
-| cosine_recall@1     | 0.0606     |
-| cosine_recall@3     | 0.1171     |
-| cosine_recall@5     | 0.1602     |
-| cosine_recall@10    | 0.2369     |
 | **cosine_ndcg@10**  | **0.3885** |
 | cosine_mrr@10       | 0.5802     |
 | cosine_map@100      | 0.2538     |