Update README.md

README.md

@@ -27,7 +27,7 @@ model-index:
       type: mteb/amazon_counterfactual
     metrics:
     - type: accuracy
-      value: 0.6700214132762312
+      value: 67.00214132762312
     task:
       type: Classification
   - dataset:
@@ -38,7 +38,7 @@ model-index:
       type: mteb/amazon_counterfactual
     metrics:
     - type: accuracy
-      value: 0.6843347639484978
+      value: 68.43347639484978
     task:
       type: Classification
   - dataset:
@@ -49,7 +49,7 @@ model-index:
       type: mteb/amazon_reviews_multi
     metrics:
     - type: accuracy
-      value: 0.39092
+      value: 39.092
     task:
       type: Classification
   - dataset:
@@ -60,7 +60,7 @@ model-index:
       type: mteb/amazon_reviews_multi
     metrics:
     - type: accuracy
-      value: 0.39146000000000003
+      value: 39.146000000000003
     task:
       type: Classification
   - dataset:
@@ -71,7 +71,7 @@ model-index:
       type: slvnwhrl/blurbs-clustering-p2p
     metrics:
     - type: v_measure
-      value: 0.38680981669842135
+      value: 38.680981669842135
     task:
       type: Clustering
   - dataset:
@@ -82,7 +82,7 @@ model-index:
       type: slvnwhrl/blurbs-clustering-s2s
     metrics:
     - type: v_measure
-      value: 0.17624489937027504
+      value: 17.624489937027504
     task:
       type: Clustering
   - dataset:
@@ -93,7 +93,7 @@ model-index:
       type: deepset/germandpr
     metrics:
     - type: ndcg_at_10
-      value: 0.72921
+      value: 72.921
     task:
       type: Retrieval
   - dataset:
@@ -104,7 +104,7 @@ model-index:
       type: mteb/germanquad-retrieval
     metrics:
     - type: mrr_at_5
-      value: 0.85316
+      value: 85.316
     task:
       type: Retrieval
   - dataset:
@@ -115,7 +115,7 @@ model-index:
       type: jinaai/german-STSbenchmark
     metrics:
     - type: cos_sim_spearman
-      value: 0.8467696933608695
+      value: 84.67696933608695
     task:
       type: STS
   - dataset:
@@ -126,7 +126,7 @@ model-index:
       type: jinaai/german-STSbenchmark
     metrics:
     - type: cos_sim_spearman
-      value: 0.88048957974805
+      value: 88.048957974805
     task:
       type: STS
   - dataset:
@@ -137,7 +137,7 @@ model-index:
       type: mteb/amazon_massive_intent
     metrics:
     - type: accuracy
-      value: 0.6625084061869536
+      value: 66.25084061869536
     task:
       type: Classification
   - dataset:
@@ -148,7 +148,7 @@ model-index:
       type: mteb/amazon_massive_intent
     metrics:
     - type: accuracy
-      value: 0.6644859813084113
+      value: 66.44859813084113
     task:
       type: Classification
   - dataset:
@@ -159,7 +159,7 @@ model-index:
       type: mteb/amazon_massive_scenario
     metrics:
     - type: accuracy
-      value: 0.7251176866173503
+      value: 72.51176866173503
     task:
       type: Classification
   - dataset:
@@ -170,7 +170,7 @@ model-index:
       type: mteb/amazon_massive_scenario
     metrics:
     - type: accuracy
-      value: 0.7202164289227742
+      value: 72.02164289227742
     task:
       type: Classification
   - dataset:
@@ -181,7 +181,7 @@ model-index:
       type: mteb/mtop_domain
     metrics:
     - type: accuracy
-      value: 0.8900253592561285
+      value: 89.00253592561285
     task:
       type: Classification
   - dataset:
@@ -192,7 +192,7 @@ model-index:
       type: mteb/mtop_domain
     metrics:
     - type: accuracy
-      value: 0.8770798898071626
+      value: 87.70798898071626
     task:
       type: Classification
   - dataset:
@@ -203,7 +203,7 @@ model-index:
       type: mteb/mtop_intent
     metrics:
     - type: accuracy
-      value: 0.7006198929275853
+      value: 70.06198929275853
     task:
       type: Classification
   - dataset:
@@ -214,7 +214,7 @@ model-index:
       type: mteb/mtop_intent
     metrics:
     - type: accuracy
-      value: 0.686060606060606
+      value: 68.6060606060606
     task:
       type: Classification
   - dataset:
@@ -225,7 +225,7 @@ model-index:
       type: google-research-datasets/paws-x
     metrics:
     - type: ap
-      value: 0.5747670853851811
+      value: 57.47670853851811
     task:
       type: PairClassification
   - dataset:
@@ -236,7 +236,7 @@ model-index:
       type: google-research-datasets/paws-x
     metrics:
     - type: ap
-      value: 0.5285587710877178
+      value: 52.85587710877178
     task:
       type: PairClassification
   - dataset:
@@ -247,7 +247,7 @@ model-index:
       type: mteb/sts22-crosslingual-sts
     metrics:
     - type: cos_sim_spearman
-      value: 0.5063839763951755
+      value: 50.63839763951755
     task:
       type: STS
   - dataset:
@@ -258,7 +258,7 @@ model-index:
       type: slvnwhrl/tenkgnad-clustering-p2p
     metrics:
     - type: v_measure
-      value: 0.37996685796529817
+      value: 37.996685796529817
     task:
       type: Clustering
   - dataset:
@@ -269,7 +269,7 @@ model-index:
       type: slvnwhrl/tenkgnad-clustering-s2s
     metrics:
     - type: v_measure
-      value: 0.2371145428041516
+      value: 23.71145428041516
     task:
       type: Clustering
   - dataset:
@@ -280,7 +280,7 @@ model-index:
       type: aari1995/false_friends_de_en_mteb
     metrics:
     - type: ap
-      value: 0.7122096746794873
+      value: 71.22096746794873
     task:
       type: PairClassification
   - dataset:
@@ -291,7 +291,7 @@ model-index:
       type: jinaai/german-STSbenchmark
     metrics:
     - type: cos_sim_spearman
-      value: 0.8467698604065061
+      value: 84.67698604065061
     task:
       type: STS
   - dataset:
@@ -302,7 +302,7 @@ model-index:
       type: jinaai/german-STSbenchmark
     metrics:
     - type: cos_sim_spearman
-      value: 0.88048957974805
+      value: 88.048957974805
     task:
       type: STS
 ---