Update README.md

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 tags:
 - mteb
+- arctic
 model-index:
 - name: arctic-embed-xs
   results:
@@ -1207,7 +1208,7 @@ model-index:
     - type: map_at_5
       value: 16.062
     - type: mrr_at_1
-      value: 67.0
+      value: 67
     - type: mrr_at_10
       value: 74.607
     - type: mrr_at_100
@@ -1231,7 +1232,7 @@ model-index:
     - type: ndcg_at_5
       value: 42.137
     - type: precision_at_1
-      value: 67.0
+      value: 67
     - type: precision_at_10
       value: 31.8
     - type: precision_at_100
@@ -1843,47 +1844,47 @@ model-index:
     - type: cos_sim_accuracy
       value: 99.89816700610999
     - type: cos_sim_ap
-      value: 100.0
+      value: 100
     - type: cos_sim_f1
       value: 99.9490575649516
     - type: cos_sim_precision
-      value: 100.0
+      value: 100
     - type: cos_sim_recall
       value: 99.89816700610999
     - type: dot_accuracy
       value: 99.89816700610999
     - type: dot_ap
-      value: 100.0
+      value: 100
     - type: dot_f1
       value: 99.9490575649516
     - type: dot_precision
-      value: 100.0
+      value: 100
     - type: dot_recall
       value: 99.89816700610999
     - type: euclidean_accuracy
       value: 99.89816700610999
     - type: euclidean_ap
-      value: 100.0
+      value: 100
     - type: euclidean_f1
       value: 99.9490575649516
     - type: euclidean_precision
-      value: 100.0
+      value: 100
     - type: euclidean_recall
       value: 99.89816700610999
     - type: manhattan_accuracy
       value: 99.89816700610999
     - type: manhattan_ap
-      value: 100.0
+      value: 100
     - type: manhattan_f1
       value: 99.9490575649516
     - type: manhattan_precision
-      value: 100.0
+      value: 100
     - type: manhattan_recall
       value: 99.89816700610999
     - type: max_accuracy
       value: 99.89816700610999
     - type: max_ap
-      value: 100.0
+      value: 100
     - type: max_f1
       value: 99.9490575649516
   - task:
@@ -1904,7 +1905,7 @@ model-index:
     - type: cos_sim_precision
       value: 45.3953953953954
     - type: cos_sim_recall
-      value: 100.0
+      value: 100
     - type: dot_accuracy
       value: 61.75000000000001
     - type: dot_ap
@@ -1914,7 +1915,7 @@ model-index:
     - type: dot_precision
       value: 45.3953953953954
     - type: dot_recall
-      value: 100.0
+      value: 100
     - type: euclidean_accuracy
       value: 61.75000000000001
     - type: euclidean_ap
@@ -1924,7 +1925,7 @@ model-index:
     - type: euclidean_precision
       value: 45.3953953953954
     - type: euclidean_recall
-      value: 100.0
+      value: 100
     - type: manhattan_accuracy
       value: 61.7
     - type: manhattan_ap
@@ -2388,7 +2389,7 @@ model-index:
     - type: recall_at_100
       value: 90.10000000000001
     - type: recall_at_1000
-      value: 99.0
+      value: 99
     - type: recall_at_3
       value: 64.39399999999999
     - type: recall_at_5
@@ -2522,7 +2523,7 @@ model-index:
     - type: map_at_5
       value: 1.0959999999999999
     - type: mrr_at_1
-      value: 88.0
+      value: 88
     - type: mrr_at_10
       value: 92.667
     - type: mrr_at_100
@@ -2534,7 +2535,7 @@ model-index:
     - type: mrr_at_5
       value: 92.667
     - type: ndcg_at_1
-      value: 84.0
+      value: 84
     - type: ndcg_at_10
       value: 79.431
     - type: ndcg_at_100
@@ -2546,7 +2547,7 @@ model-index:
     - type: ndcg_at_5
       value: 81.565
     - type: precision_at_1
-      value: 88.0
+      value: 88
     - type: precision_at_10
       value: 84.8
     - type: precision_at_100
@@ -2798,4 +2799,4 @@ model-index:
     metrics:
     - type: v_measure
       value: 81.46426354153643
----
+---