Update README.md

README.md

@@ -1086,7 +1086,7 @@ model-index:
     - type: map_at_5
       value: 17.471999999999998
     - type: mrr_at_1
-      value: 71.0
+      value: 71
     - type: mrr_at_10
       value: 79.176
     - type: mrr_at_100
@@ -1110,9 +1110,9 @@ model-index:
     - type: ndcg_at_5
       value: 45.826
     - type: precision_at_1
-      value: 71.0
+      value: 71
     - type: precision_at_10
-      value: 35.0
+      value: 35
     - type: precision_at_100
       value: 11.360000000000001
     - type: precision_at_1000
@@ -2046,7 +2046,7 @@ model-index:
     - type: map_at_5
       value: 68.447
     - type: mrr_at_1
-      value: 64.0
+      value: 64
     - type: mrr_at_10
       value: 71.212
     - type: mrr_at_100
@@ -2058,7 +2058,7 @@ model-index:
     - type: mrr_at_5
       value: 70.094
     - type: ndcg_at_1
-      value: 64.0
+      value: 64
     - type: ndcg_at_10
       value: 74.607
     - type: ndcg_at_100
@@ -2070,7 +2070,7 @@ model-index:
     - type: ndcg_at_5
       value: 71.41300000000001
     - type: precision_at_1
-      value: 64.0
+      value: 64
     - type: precision_at_10
       value: 9.933
     - type: precision_at_100
@@ -2088,7 +2088,7 @@ model-index:
     - type: recall_at_100
       value: 94.833
     - type: recall_at_1000
-      value: 100.0
+      value: 100
     - type: recall_at_3
       value: 72.628
     - type: recall_at_5
@@ -2121,7 +2121,7 @@ model-index:
     - type: dot_precision
       value: 87.16475095785441
     - type: dot_recall
-      value: 91.0
+      value: 91
     - type: euclidean_accuracy
       value: 99.85445544554456
     - type: euclidean_ap
@@ -2131,7 +2131,7 @@ model-index:
     - type: euclidean_precision
       value: 92.17046580773042
     - type: euclidean_recall
-      value: 93.0
+      value: 93
     - type: manhattan_accuracy
       value: 99.85445544554456
     - type: manhattan_ap
@@ -2222,7 +2222,7 @@ model-index:
     - type: map_at_5
       value: 1.077
     - type: mrr_at_1
-      value: 82.0
+      value: 82
     - type: mrr_at_10
       value: 89.86699999999999
     - type: mrr_at_100
@@ -2234,7 +2234,7 @@ model-index:
     - type: mrr_at_5
       value: 89.667
     - type: ndcg_at_1
-      value: 79.0
+      value: 79
     - type: ndcg_at_10
       value: 74.818
     - type: ndcg_at_100
@@ -2246,9 +2246,9 @@ model-index:
     - type: ndcg_at_5
       value: 79.81899999999999
     - type: precision_at_1
-      value: 82.0
+      value: 82
     - type: precision_at_10
-      value: 78.0
+      value: 78
     - type: precision_at_100
       value: 54.48
     - 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)