update readme.md

README.md

@@ -68,19 +68,19 @@ model-index:
       type: mteb/biosses-sts
     metrics:
     - type: cosine_pearson
-      value: 0.7646793455363026
+      value: 76.46793440999714
     - type: cosine_spearman
-      value: 0.7666439745271297
+      value: 76.66439745271298
     - type: euclidean_pearson
-      value: 0.7652075986969038
+      value: 76.52075972347127
     - type: euclidean_spearman
-      value: 0.7666439745271297
+      value: 76.66439745271298
     - type: main_score
-      value: 0.7666439745271297
+      value: 76.66439745271298
     - type: manhattan_pearson
-      value: 0.766800186746739
+      value: 76.68001857069733
     - type: manhattan_spearman
-      value: 0.7673066402288269
+      value: 76.73066402288269
     task:
       type: STS
   - dataset:
@@ -91,19 +91,19 @@ model-index:
       type: mteb/sickr-sts
     metrics:
     - type: cosine_pearson
-      value: 0.7967657888969051
+      value: 79.67657890693198
     - type: cosine_spearman
-      value: 0.7703286109413092
+      value: 77.03286420274621
     - type: euclidean_pearson
-      value: 0.7819607355683363
+      value: 78.1960735272073
     - type: euclidean_spearman
-      value: 0.7703284984176336
+      value: 77.032855497919
     - type: main_score
-      value: 0.7703286109413092
+      value: 77.03286420274621
     - type: manhattan_pearson
-      value: 0.7825627279409032
+      value: 78.25627275994229
     - type: manhattan_spearman
-      value: 0.7700431033772339
+      value: 77.00430810589081
     task:
       type: STS
   - dataset:
@@ -114,19 +114,19 @@ model-index:
       type: mteb/sts12-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8394288958816406
+      value: 83.94288954523996
     - type: cosine_spearman
-      value: 0.7921432094488725
+      value: 79.21432176112556
     - type: euclidean_pearson
-      value: 0.8121333332608397
+      value: 81.21333251943913
     - type: euclidean_spearman
-      value: 0.7921511763341483
+      value: 79.2152067330468
     - type: main_score
-      value: 0.7921432094488725
+      value: 79.21432176112556
     - type: manhattan_pearson
-      value: 0.8116910808144705
+      value: 81.16910737482634
     - type: manhattan_spearman
-      value: 0.7908747588244719
+      value: 79.08756466301445
     task:
       type: STS
   - dataset:
@@ -137,19 +137,19 @@ model-index:
       type: mteb/sts13-sts
     metrics:
     - type: cosine_pearson
-      value: 0.7748393894472824
+      value: 77.48393909963059
     - type: cosine_spearman
-      value: 0.7954963868861196
+      value: 79.54963868861196
     - type: euclidean_pearson
-      value: 0.7928415966325013
+      value: 79.28416002197451
     - type: euclidean_spearman
-      value: 0.7954963861790114
+      value: 79.54963861790114
     - type: main_score
-      value: 0.7954963868861196
+      value: 79.54963868861196
     - type: manhattan_pearson
-      value: 0.7918653941335837
+      value: 79.18653917582513
     - type: manhattan_spearman
-      value: 0.7946719007113934
+      value: 79.46713533414295
     task:
       type: STS
   - dataset:
@@ -160,19 +160,19 @@ model-index:
       type: mteb/sts14-sts
     metrics:
     - type: cosine_pearson
-      value: 0.7851596254385209
+      value: 78.51596313692846
     - type: cosine_spearman
-      value: 0.7884601914737768
+      value: 78.84601702652395
     - type: euclidean_pearson
-      value: 0.7855199771287279
+      value: 78.55199809961427
     - type: euclidean_spearman
-      value: 0.7884602020117785
+      value: 78.84603362286225
     - type: main_score
-      value: 0.7884601914737768
+      value: 78.84601702652395
     - type: manhattan_pearson
-      value: 0.7852780144651308
+      value: 78.52780170677605
     - type: manhattan_spearman
-      value: 0.787774430076152
+      value: 78.77744294039178
     task:
       type: STS
   - dataset:
@@ -183,19 +183,19 @@ model-index:
       type: mteb/sts15-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8453393469117113
+      value: 84.53393478889929
     - type: cosine_spearman
-      value: 0.8560821849381648
+      value: 85.60821849381648
     - type: euclidean_pearson
-      value: 0.8532813929769605
+      value: 85.32813923250558
     - type: euclidean_spearman
-      value: 0.8560818604001905
+      value: 85.6081835456016
     - type: main_score
-      value: 0.8560821849381648
+      value: 85.60821849381648
     - type: manhattan_pearson
-      value: 0.8532782084710221
+      value: 85.32782097916476
     - type: manhattan_spearman
-      value: 0.8558098668045864
+      value: 85.58098670898562
     task:
       type: STS
   - dataset:
@@ -206,19 +206,19 @@ model-index:
       type: mteb/sts16-sts
     metrics:
     - type: cosine_pearson
-      value: 0.7700197085349484
+      value: 77.00196998325856
     - type: cosine_spearman
-      value: 0.79930951699069
+      value: 79.930951699069
     - type: euclidean_pearson
-      value: 0.7943196781811703
+      value: 79.43196738390897
     - type: euclidean_spearman
-      value: 0.7993095112410258
+      value: 79.93095112410258
     - type: main_score
-      value: 0.79930951699069
+      value: 79.930951699069
     - type: manhattan_pearson
-      value: 0.7933744400544465
+      value: 79.33744358111427
     - type: manhattan_spearman
-      value: 0.7982939266539602
+      value: 79.82939266539601
     task:
       type: STS
   - dataset:
@@ -229,19 +229,19 @@ model-index:
       type: mteb/sts17-crosslingual-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8160289458371599
+      value: 81.60289529424327
     - type: cosine_spearman
-      value: 0.8246806381979653
+      value: 82.46806381979653
     - type: euclidean_pearson
-      value: 0.813223525262988
+      value: 81.32235058296072
     - type: euclidean_spearman
-      value: 0.8248167872078906
+      value: 82.46676890643914
     - type: main_score
-      value: 0.8246806381979653
+      value: 82.46806381979653
     - type: manhattan_pearson
-      value: 0.8143885482754425
+      value: 81.43885277175312
     - type: manhattan_spearman
-      value: 0.8240446963802593
+      value: 82.38955952718666
     task:
       type: STS
   - dataset:
@@ -252,19 +252,19 @@ model-index:
       type: mteb/sts22-crosslingual-sts
     metrics:
     - type: cosine_pearson
-      value: 0.4958293768761313
+      value: 49.58293768761314
     - type: cosine_spearman
-      value: 0.5726188878983287
+      value: 57.261888789832874
     - type: euclidean_pearson
-      value: 0.5336549109538782
+      value: 53.36549109538782
     - type: euclidean_spearman
-      value: 0.5726188878983287
+      value: 57.261888789832874
     - type: main_score
-      value: 0.5726188878983287
+      value: 57.261888789832874
     - type: manhattan_pearson
-      value: 0.5306640323833928
+      value: 53.06640323833928
     - type: manhattan_spearman
-      value: 0.5705837935512948
+      value: 57.05837935512948
     task:
       type: STS
   - dataset:
@@ -275,19 +275,19 @@ model-index:
       type: mteb/stsbenchmark-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8143997878838204
+      value: 81.43997935928729
     - type: cosine_spearman
-      value: 0.8204996129795596
+      value: 82.04996129795596
     - type: euclidean_pearson
-      value: 0.8201917849577418
+      value: 82.01917866996972
     - type: euclidean_spearman
-      value: 0.8204996129795596
+      value: 82.04996129795596
     - type: main_score
-      value: 0.8204996129795596
+      value: 82.04996129795596
     - type: manhattan_pearson
-      value: 0.8203487073719467
+      value: 82.03487112040936
     - type: manhattan_spearman
-      value: 0.8203774605775651
+      value: 82.03774605775651
     task:
       type: STS
   - dataset:
@@ -298,19 +298,19 @@ model-index:
       type: mteb/summeval
     metrics:
     - type: cosine_pearson
-      value: 0.32113473699294887
+      value: 32.113475997147674
     - type: cosine_spearman
-      value: 0.32171942337648785
+      value: 32.17194233764879
     - type: dot_pearson
-      value: 0.3211346945795219
+      value: 32.113469728827255
     - type: dot_spearman
-      value: 0.32168802810995234
+      value: 32.174771315355386
     - type: main_score
-      value: 0.32171942337648785
+      value: 32.17194233764879
     - type: pearson
-      value: 0.3211347400449732
+      value: 32.113475997147674
     - type: spearman
-      value: 0.32171942337648785
+      value: 32.17194233764879
     task:
       type: Summarization
 - name: SentenceTransformer based on sentence-transformers/LaBSE