Update README.md

README.md

@@ -910,7 +910,7 @@ model-index:
     - type: ndcg_at_3
       value: 35.829
     - type: ndcg_at_5
-      value: 38.0
+      value: 38
     - type: precision_at_1
       value: 31.818
     - type: precision_at_10
@@ -2054,7 +2054,7 @@ model-index:
     - type: mrr_at_1000
       value: 70.722
     - type: mrr_at_3
-      value: 68.0
+      value: 68
     - type: mrr_at_5
       value: 69.56700000000001
     - type: ndcg_at_1
@@ -2121,7 +2121,7 @@ model-index:
     - type: dot_precision
       value: 92.90187891440502
     - type: dot_recall
-      value: 89.0
+      value: 89
     - type: euclidean_accuracy
       value: 99.84851485148515
     - type: euclidean_ap
@@ -2222,7 +2222,7 @@ model-index:
     - type: map_at_5
       value: 1.076
     - type: mrr_at_1
-      value: 86.0
+      value: 86
     - type: mrr_at_10
       value: 91.8
     - type: mrr_at_100
@@ -2230,11 +2230,11 @@ model-index:
     - type: mrr_at_1000
       value: 91.8
     - type: mrr_at_3
-      value: 91.0
+      value: 91
     - type: mrr_at_5
       value: 91.8
     - type: ndcg_at_1
-      value: 82.0
+      value: 82
     - type: ndcg_at_10
       value: 78.07300000000001
     - type: ndcg_at_100
@@ -2246,9 +2246,9 @@ model-index:
     - type: ndcg_at_5
       value: 81.059
     - type: precision_at_1
-      value: 86.0
+      value: 86
     - type: precision_at_10
-      value: 83.0
+      value: 83
     - type: precision_at_100
       value: 59.38
     - type: precision_at_1000
@@ -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)