Update README.md

README.md

@@ -6951,7 +6951,7 @@ model-index:
     - type: precision_at_3
       value: 18.099999999999998
     - type: precision_at_5
-      value: 15.0
+      value: 15
     - type: precision_at_10
       value: 10.48
     - type: precision_at_20
@@ -7763,7 +7763,7 @@ model-index:
       type: mteb/scifact
     metrics:
     - type: ndcg_at_1
-      value: 61.0
+      value: 61
     - type: ndcg_at_3
       value: 67.589
     - type: ndcg_at_5
@@ -7805,7 +7805,7 @@ model-index:
     - type: recall_at_1000
       value: 99.667
     - type: precision_at_1
-      value: 61.0
+      value: 61
     - type: precision_at_3
       value: 26.111
     - type: precision_at_5
@@ -7819,7 +7819,7 @@ model-index:
     - type: precision_at_1000
       value: 0.11299999999999999
     - type: mrr_at_1
-      value: 61.0
+      value: 61
     - type: mrr_at_3
       value: 67.4444
     - type: mrr_at_5
@@ -7953,7 +7953,7 @@ model-index:
     - type: nauc_recall_at_100_diff1
       value: 65.733
     - type: nauc_recall_at_1000_max
-      value: 100.0
+      value: 100
     - type: nauc_recall_at_1000_std
       value: 72.2222
     - type: nauc_recall_at_1000_diff1
@@ -8225,7 +8225,7 @@ model-index:
       type: mteb/trec-covid
     metrics:
     - type: ndcg_at_1
-      value: 85.0
+      value: 85
     - type: ndcg_at_3
       value: 84.58099999999999
     - type: ndcg_at_5
@@ -8267,7 +8267,7 @@ model-index:
     - type: recall_at_1000
       value: 53.516
     - type: precision_at_1
-      value: 90.0
+      value: 90
     - type: precision_at_3
       value: 89.333
     - type: precision_at_5
@@ -8281,7 +8281,7 @@ model-index:
     - type: precision_at_1000
       value: 25.380000000000003
     - type: mrr_at_1
-      value: 90.0
+      value: 90
     - type: mrr_at_3
       value: 94.6667
     - type: mrr_at_5
@@ -9036,16 +9036,12 @@ model-index:
       type: PairClassification
 pipeline_tag: sentence-similarity
 tags:
-- sentence-transformers
 - feature-extraction
-- sentence-similarity
 - mteb
 - arctic
 - snowflake-arctic-embed
-- transformers.js
 - onnx
 - teradata
-
 ---
 # A Teradata Vantage compatible Embeddings Model
 
@@ -9197,5 +9193,4 @@ 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)