update readme.md

README.md

@@ -58,8 +58,7 @@ widget:
   - الشاب نائم بينما الأم تقود ابنتها إلى الحديقة
 pipeline_tag: sentence-similarity
 model-index:
-- name: >-
-    Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka
+- name: Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka
   results:
   - dataset:
       config: default
@@ -69,19 +68,19 @@ model-index:
       type: mteb/biosses-sts
     metrics:
     - type: cosine_pearson
-      value: 0.812057800982253
+      value: 81.20578037912223
     - type: cosine_spearman
-      value: 0.7743670420687278
+      value: 77.43670420687278
     - type: euclidean_pearson
-      value: 0.7460444712056118
+      value: 74.60444698819703
     - type: euclidean_spearman
-      value: 0.7225767053642665
+      value: 72.25767053642666
     - type: main_score
-      value: 0.7743670420687278
+      value: 77.43670420687278
     - type: manhattan_pearson
-      value: 0.7386951377207792
+      value: 73.86951335383257
     - type: manhattan_spearman
-      value: 0.7141608509527123
+      value: 71.41608509527123
     task:
       type: STS
   - dataset:
@@ -92,19 +91,19 @@ model-index:
       type: mteb/sickr-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8311155547671772
+      value: 83.11155556919923
     - type: cosine_spearman
-      value: 0.7939432362484752
+      value: 79.39435627520159
     - type: euclidean_pearson
-      value: 0.8105225017040599
+      value: 81.05225024180342
     - type: euclidean_spearman
-      value: 0.7909924631941372
+      value: 79.09926890001618
     - type: main_score
-      value: 0.7939432362484752
+      value: 79.39435627520159
     - type: manhattan_pearson
-      value: 0.8074351287736231
+      value: 80.74351302609706
     - type: manhattan_spearman
-      value: 0.788262288980994
+      value: 78.826254748334
     task:
       type: STS
   - dataset:
@@ -115,19 +114,19 @@ model-index:
       type: mteb/sts12-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8510074994064332
+      value: 85.10074960888633
     - type: cosine_spearman
-      value: 0.7893044619242582
+      value: 78.93043293576132
     - type: euclidean_pearson
-      value: 0.8411682196045721
+      value: 84.1168219787408
     - type: euclidean_spearman
-      value: 0.7844752715986906
+      value: 78.44739559202252
     - type: main_score
-      value: 0.7893044619242582
+      value: 78.93043293576132
     - type: manhattan_pearson
-      value: 0.8379447843248978
+      value: 83.79447841594396
     - type: manhattan_spearman
-      value: 0.7794040918060501
+      value: 77.94028171700384
     task:
       type: STS
   - dataset:
@@ -138,19 +137,19 @@ model-index:
       type: mteb/sts13-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8134459899902762
+      value: 81.34459901517775
     - type: cosine_spearman
-      value: 0.8273032633919924
+      value: 82.73032633919925
     - type: euclidean_pearson
-      value: 0.8283546515124637
+      value: 82.83546499367434
     - type: euclidean_spearman
-      value: 0.832970167361539
+      value: 83.29701673615389
     - type: main_score
-      value: 0.8273032633919924
+      value: 82.73032633919925
     - type: manhattan_pearson
-      value: 0.8263480513035283
+      value: 82.63480502797324
     - type: manhattan_spearman
-      value: 0.8305011101470007
+      value: 83.05016589615636
     task:
       type: STS
   - dataset:
@@ -161,19 +160,19 @@ model-index:
       type: mteb/sts14-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8253180006413311
+      value: 82.53179983763488
     - type: cosine_spearman
-      value: 0.8164975795042967
+      value: 81.64974497557361
     - type: euclidean_pearson
-      value: 0.830398106556093
+      value: 83.03981070806898
     - type: euclidean_spearman
-      value: 0.8265556163598445
+      value: 82.65556168300631
     - type: main_score
-      value: 0.8164975795042967
+      value: 81.64974497557361
     - type: manhattan_pearson
-      value: 0.8283722367680182
+      value: 82.83722360191446
     - type: manhattan_spearman
-      value: 0.8241643390000183
+      value: 82.4164264119
     task:
       type: STS
   - dataset:
@@ -184,19 +183,19 @@ model-index:
       type: mteb/sts15-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8656841591623938
+      value: 86.5684162475647
     - type: cosine_spearman
-      value: 0.8762163215009723
+      value: 87.62163215009723
     - type: euclidean_pearson
-      value: 0.8730682852717704
+      value: 87.3068288651339
     - type: euclidean_spearman
-      value: 0.8803508853008059
+      value: 88.03508640722863
     - type: main_score
-      value: 0.8762163215009723
+      value: 87.62163215009723
     - type: manhattan_pearson
-      value: 0.8721818663211192
+      value: 87.21818681800193
     - type: manhattan_spearman
-      value: 0.8794690723666818
+      value: 87.94690511382603
     task:
       type: STS
   - dataset:
@@ -207,19 +206,19 @@ model-index:
       type: mteb/sts16-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8170518034922376
+      value: 81.70518105237446
     - type: cosine_spearman
-      value: 0.8366083698795428
+      value: 83.66083698795428
     - type: euclidean_pearson
-      value: 0.828040068871351
+      value: 82.80400684544435
     - type: euclidean_spearman
-      value: 0.83399268952758
+      value: 83.39926895275799
     - type: main_score
-      value: 0.8366083698795428
+      value: 83.66083698795428
     - type: manhattan_pearson
-      value: 0.8244430532436002
+      value: 82.44430538731845
     - type: manhattan_spearman
-      value: 0.8299600783826029
+      value: 82.99600783826028
     task:
       type: STS
   - dataset:
@@ -230,19 +229,19 @@ model-index:
       type: mteb/sts17-crosslingual-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8223229977759101
+      value: 82.23229967696153
     - type: cosine_spearman
-      value: 0.8240039006538706
+      value: 82.40039006538706
     - type: euclidean_pearson
-      value: 0.792132286463706
+      value: 79.21322872573518
     - type: euclidean_spearman
-      value: 0.7914230529579782
+      value: 79.14230529579783
     - type: main_score
-      value: 0.8240039006538706
+      value: 82.40039006538706
     - type: manhattan_pearson
-      value: 0.791476347725118
+      value: 79.1476348987964
     - type: manhattan_spearman
-      value: 0.7882381660638142
+      value: 78.82381660638143
     task:
       type: STS
   - dataset:
@@ -253,19 +252,19 @@ model-index:
       type: mteb/sts22-crosslingual-sts
     metrics:
     - type: cosine_pearson
-      value: 0.45957671245188714
+      value: 45.95767124518871
     - type: cosine_spearman
-      value: 0.5137922888872568
+      value: 51.37922888872568
     - type: euclidean_pearson
-      value: 0.4551947112131013
+      value: 45.519471121310126
     - type: euclidean_spearman
-      value: 0.5145605803385654
+      value: 51.45605803385654
     - type: main_score
-      value: 0.5137922888872568
+      value: 51.37922888872568
     - type: manhattan_pearson
-      value: 0.4598761117909666
+      value: 45.98761117909666
     - type: manhattan_spearman
-      value: 0.5148451973989366
+      value: 51.48451973989366
     task:
       type: STS
   - dataset:
@@ -276,19 +275,19 @@ model-index:
       type: mteb/stsbenchmark-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8538916797164717
+      value: 85.38916827757183
     - type: cosine_spearman
-      value: 0.861630373485377
+      value: 86.16303183485594
     - type: euclidean_pearson
-      value: 0.8516406915802421
+      value: 85.16406897245115
     - type: euclidean_spearman
-      value: 0.8540363516461557
+      value: 85.40364087457081
     - type: main_score
-      value: 0.861630373485377
+      value: 86.16303183485594
     - type: manhattan_pearson
-      value: 0.8496853231016919
+      value: 84.96853193915084
     - type: manhattan_spearman
-      value: 0.8513238442843545
+      value: 85.13238442843544
     task:
       type: STS
   - dataset:
@@ -299,19 +298,19 @@ model-index:
       type: mteb/summeval
     metrics:
     - type: cosine_pearson
-      value: 0.30077426774436794
+      value: 30.077426987171158
     - type: cosine_spearman
-      value: 0.3018447236792281
+      value: 30.163682020271608
     - type: dot_pearson
-      value: 0.2731125515799231
+      value: 27.31125295906803
     - type: dot_spearman
-      value: 0.2913769055225091
+      value: 29.138235153208193
     - type: main_score
-      value: 0.3018447236792281
+      value: 30.163682020271608
     - type: pearson
-      value: 0.30077424365417527
+      value: 30.077426987171158
     - type: spearman
-      value: 0.3017043383352844
+      value: 30.163682020271608
     task:
       type: Summarization
 - name: >-