Update README.md

README.md

@@ -750,7 +750,7 @@ model-index:
     - type: recall_at_100
       value: 63.851
     - type: recall_at_1000
-      value: 82.0
+      value: 82
     - type: recall_at_3
       value: 34.288000000000004
     - type: recall_at_5
@@ -2222,7 +2222,7 @@ model-index:
     - type: map_at_5
       value: 1.024
     - type: mrr_at_1
-      value: 88.0
+      value: 88
     - type: mrr_at_10
       value: 93.067
     - type: mrr_at_100
@@ -2234,7 +2234,7 @@ model-index:
     - type: mrr_at_5
       value: 93.067
     - type: ndcg_at_1
-      value: 82.0
+      value: 82
     - type: ndcg_at_10
       value: 75.899
     - type: ndcg_at_100
@@ -2246,7 +2246,7 @@ model-index:
     - type: ndcg_at_5
       value: 78.39699999999999
     - type: precision_at_1
-      value: 88.0
+      value: 88
     - type: precision_at_10
       value: 79.60000000000001
     - type: precision_at_100
@@ -2490,14 +2490,11 @@ model-index:
     task:
       type: PairClassification
 tags:
-- sentence-transformers
 - feature-extraction
 - sentence-similarity
-- transformers
 - mteb
 - onnx
 - teradata
-
 ---
 # A Teradata Vantage compatible Embeddings Model
 
@@ -2649,5 +2646,4 @@ print("Cosine similiarity for embeddings calculated with ONNX:" + str(cos_sim(em
 print("Cosine similiarity for embeddings calculated with SentenceTransformer:" + str(cos_sim(embeddings_1_sentence_transformer, embeddings_2_sentence_transformer)))
 ```
 
-You can find the detailed ONNX vs. SentenceTransformer result comparison steps in the file [test_local.py](./test_local.py)
-
+You can find the detailed ONNX vs. SentenceTransformer result comparison steps in the file [test_local.py](./test_local.py)