Update README.md

README.md

@@ -7,21 +7,10 @@ language:
 library_name: sentence-transformers
 license: mit
 metrics:
-- dot_accuracy@1
-- dot_accuracy@3
-- dot_accuracy@5
-- dot_accuracy@10
-- dot_precision@1
-- dot_precision@3
-- dot_precision@5
-- dot_precision@10
-- dot_recall@1
-- dot_recall@3
 - dot_recall@5
 - dot_recall@10
 - dot_ndcg@10
 - dot_mrr@10
-- dot_map@100
 - query_active_dims
 - query_sparsity_ratio
 - corpus_active_dims
@@ -87,36 +76,6 @@ model-index:
       name: Amharic Passage Retrieval Dataset V2
       type: rasyosef/Amharic-Passage-Retrieval-Dataset-V2
     metrics:
-    - type: dot_accuracy@1
-      value: 0.6285881663737551
-      name: Dot Accuracy@1
-    - type: dot_accuracy@3
-      value: 0.8107791446983011
-      name: Dot Accuracy@3
-    - type: dot_accuracy@5
-      value: 0.8580843585237259
-      name: Dot Accuracy@5
-    - type: dot_accuracy@10
-      value: 0.895577035735208
-      name: Dot Accuracy@10
-    - type: dot_precision@1
-      value: 0.6285881663737551
-      name: Dot Precision@1
-    - type: dot_precision@3
-      value: 0.2702597148994337
-      name: Dot Precision@3
-    - type: dot_precision@5
-      value: 0.17161687170474518
-      name: Dot Precision@5
-    - type: dot_precision@10
-      value: 0.0895577035735208
-      name: Dot Precision@10
-    - type: dot_recall@1
-      value: 0.6285881663737551
-      name: Dot Recall@1
-    - type: dot_recall@3
-      value: 0.8107791446983011
-      name: Dot Recall@3
     - type: dot_recall@5
       value: 0.8580843585237259
       name: Dot Recall@5
@@ -129,9 +88,6 @@ model-index:
     - type: dot_mrr@10
       value: 0.7282295240884877
       name: Dot Mrr@10
-    - type: dot_map@100
-      value: 0.731417730197726
-      name: Dot Map@100
     - type: query_active_dims
       value: 60.95884704589844
       name: Query Active Dims
@@ -223,21 +179,10 @@ print(similarities)
 
 | Metric                | Value      |
 |:----------------------|:-----------|
-| dot_accuracy@1        | 0.6286     |
-| dot_accuracy@3        | 0.8108     |
-| dot_accuracy@5        | 0.8581     |
-| dot_accuracy@10       | 0.8956     |
-| dot_precision@1       | 0.6286     |
-| dot_precision@3       | 0.2703     |
-| dot_precision@5       | 0.1716     |
-| dot_precision@10      | 0.0896     |
-| dot_recall@1          | 0.6286     |
-| dot_recall@3          | 0.8108     |
 | dot_recall@5          | 0.8581     |
 | dot_recall@10         | 0.8956     |
 | **dot_ndcg@10**       | **0.7694** |
 | dot_mrr@10            | 0.7282     |
-| dot_map@100           | 0.7314     |
 | query_active_dims     | 60.9588    |
 | query_sparsity_ratio  | 0.9981     |
 | corpus_active_dims    | 117.9303   |