Set `library_name` as Sentence Transformers (#1)

- Set `library_name` as Sentence Transformers (d1718de109560003f46d209d7f392c35c912e078)


Co-authored-by: Tom Aarsen <[email protected]>

README.md

@@ -316,7 +316,7 @@ model-index:
     - type: recall_at_100
       value: 99.579
     - type: recall_at_1000
-      value: 100.0
+      value: 100
     - type: recall_at_3
       value: 92.703
     - type: recall_at_5
@@ -452,7 +452,7 @@ model-index:
     - type: recall_at_10
       value: 86.9
     - type: recall_at_100
-      value: 97.0
+      value: 97
     - type: recall_at_1000
       value: 98.9
     - type: recall_at_3
@@ -646,7 +646,7 @@ model-index:
     - type: mrr_at_1000
       value: 65.548
     - type: mrr_at_3
-      value: 63.0
+      value: 63
     - type: mrr_at_5
       value: 64.235
     - type: ndcg_at_1
@@ -680,11 +680,11 @@ model-index:
     - type: recall_at_100
       value: 92.60000000000001
     - type: recall_at_1000
-      value: 99.0
+      value: 99
     - type: recall_at_3
       value: 68.7
     - type: recall_at_5
-      value: 74.0
+      value: 74
   - task:
       type: Classification
     dataset:
@@ -991,7 +991,7 @@ model-index:
     - type: map_at_5
       value: 74.973
     - type: mrr_at_1
-      value: 65.0
+      value: 65
     - type: mrr_at_10
       value: 75.676
     - type: mrr_at_100
@@ -1037,7 +1037,7 @@ model-index:
     - type: recall_at_3
       value: 84.6
     - type: recall_at_5
-      value: 89.0
+      value: 89
   - task:
       type: Classification
     dataset:
@@ -1053,6 +1053,7 @@ model-index:
       value: 75.20638024616892
     - type: f1
       value: 87.88648489072128
+library_name: sentence-transformers
 ---
 # xiaobu-embedding-v2
 
@@ -1081,4 +1082,4 @@ print(similarity)
 ## Reference
 1. https://github.com/hjq133/piccolo-embedding
 2. https://huggingface.co/lier007/xiaobu-embedding
-3. https://arxiv.org/abs/2002.10857
+3. https://arxiv.org/abs/2002.10857