update readme.md

README.md

@@ -55,7 +55,7 @@ widget:
   - الشاب نائم بينما الأم تقود ابنتها إلى الحديقة
 pipeline_tag: sentence-similarity
 model-index:
-- name: Omartificial-Intelligence-Space/MiniLM-L12-v2-all-nli-triplet
+- name: Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet
   results:
   - dataset:
       config: default
@@ -65,19 +65,19 @@ model-index:
       type: mteb/biosses-sts
     metrics:
     - type: cosine_pearson
-      value: 0.7250818409521711
+      value: 72.5081840952171
     - type: cosine_spearman
-      value: 0.6941362982941537
+      value: 69.41362982941537
     - type: euclidean_pearson
-      value: 0.6745121488533713
+      value: 67.45121490183709
     - type: euclidean_spearman
-      value: 0.6715273493989758
+      value: 67.15273493989758
     - type: main_score
-      value: 0.6941362982941537
+      value: 69.41362982941537
     - type: manhattan_pearson
-      value: 0.6761190163962777
+      value: 67.6119022794479
     - type: manhattan_spearman
-      value: 0.6751659865246586
+      value: 67.51659865246586
     task:
       type: STS
   - dataset:
@@ -88,19 +88,19 @@ model-index:
       type: mteb/sickr-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8361591257325394
+      value: 83.61591268324493
     - type: cosine_spearman
-      value: 0.7961916609254315
+      value: 79.61914245705792
     - type: euclidean_pearson
-      value: 0.8132044879728667
+      value: 81.32044881859483
     - type: euclidean_spearman
-      value: 0.7904866337741477
+      value: 79.04866675279919
     - type: main_score
-      value: 0.7961916609254315
+      value: 79.61914245705792
     - type: manhattan_pearson
-      value: 0.8109220507649304
+      value: 81.09220518201322
     - type: manhattan_spearman
-      value: 0.788759072870693
+      value: 78.87590523907905
     task:
       type: STS
   - dataset:
@@ -111,19 +111,19 @@ model-index:
       type: mteb/sts12-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8459807799938677
+      value: 84.59807803376341
     - type: cosine_spearman
-      value: 0.7738693998841099
+      value: 77.38689922564416
     - type: euclidean_pearson
-      value: 0.8392034843846014
+      value: 83.92034850646732
     - type: euclidean_spearman
-      value: 0.7675885845111178
+      value: 76.75857193093438
     - type: main_score
-      value: 0.7738693998841099
+      value: 77.38689922564416
     - type: manhattan_pearson
-      value: 0.839719185297225
+      value: 83.97191863964667
     - type: manhattan_spearman
-      value: 0.7689817666168436
+      value: 76.89790070725708
     task:
       type: STS
   - dataset:
@@ -134,19 +134,19 @@ model-index:
       type: mteb/sts13-sts
     metrics:
     - type: cosine_pearson
-      value: 0.7818664261660525
+      value: 78.18664268536664
     - type: cosine_spearman
-      value: 0.7958983823792369
+      value: 79.58989311630421
     - type: euclidean_pearson
-      value: 0.7925259705344635
+      value: 79.25259731614729
     - type: euclidean_spearman
-      value: 0.8017005740384345
+      value: 80.1701122827397
     - type: main_score
-      value: 0.7958983823792369
+      value: 79.58989311630421
     - type: manhattan_pearson
-      value: 0.7912601460543303
+      value: 79.12601451996869
     - type: manhattan_spearman
-      value: 0.7998999436073664
+      value: 79.98999436073663
     task:
       type: STS
   - dataset:
@@ -157,19 +157,19 @@ model-index:
       type: mteb/sts14-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8097541864884892
+      value: 80.97541876658141
     - type: cosine_spearman
-      value: 0.7978614318208406
+      value: 79.78614320477877
     - type: euclidean_pearson
-      value: 0.8101514510666364
+      value: 81.01514505747167
     - type: euclidean_spearman
-      value: 0.8073664902232889
+      value: 80.73664735567839
     - type: main_score
-      value: 0.7978614318208406
+      value: 79.78614320477877
     - type: manhattan_pearson
-      value: 0.8087465598516294
+      value: 80.8746560526314
     - type: manhattan_spearman
-      value: 0.8067025764710201
+      value: 80.67025673179079
     task:
       type: STS
   - dataset:
@@ -180,19 +180,19 @@ model-index:
       type: mteb/sts15-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8523661146717714
+      value: 85.23661155813113
     - type: cosine_spearman
-      value: 0.8621134676636548
+      value: 86.21134464371615
     - type: euclidean_pearson
-      value: 0.8582518696321332
+      value: 85.82518684522182
     - type: euclidean_spearman
-      value: 0.8643600579765282
+      value: 86.43600784349509
     - type: main_score
-      value: 0.8621134676636548
+      value: 86.21134464371615
     - type: manhattan_pearson
-      value: 0.8583101157321226
+      value: 85.83101152371589
     - type: manhattan_spearman
-      value: 0.8642228913708263
+      value: 86.42228695679498
     task:
       type: STS
   - dataset:
@@ -203,19 +203,19 @@ model-index:
       type: mteb/sts16-sts
     metrics:
     - type: cosine_pearson
-      value: 0.7920106671969702
+      value: 79.20106689077852
     - type: cosine_spearman
-      value: 0.8139570893867826
+      value: 81.39570893867825
     - type: euclidean_pearson
-      value: 0.8039578867280891
+      value: 80.39578888768929
     - type: euclidean_spearman
-      value: 0.8119950443340411
+      value: 81.19950443340412
     - type: main_score
-      value: 0.8139570893867826
+      value: 81.39570893867825
     - type: manhattan_pearson
-      value: 0.8022266789441443
+      value: 80.2226679341839
     - type: manhattan_spearman
-      value: 0.8099142422593824
+      value: 80.99142422593823
     task:
       type: STS
   - dataset:
@@ -226,19 +226,19 @@ model-index:
       type: mteb/sts17-crosslingual-sts
     metrics:
     - type: cosine_pearson
-      value: 0.810529486499453
+      value: 81.05294851623468
     - type: cosine_spearman
-      value: 0.8110570655134113
+      value: 81.10570655134113
     - type: euclidean_pearson
-      value: 0.7922292797849199
+      value: 79.22292773537778
     - type: euclidean_spearman
-      value: 0.7884204232638424
+      value: 78.84204232638425
     - type: main_score
-      value: 0.8110570655134113
+      value: 81.10570655134113
     - type: manhattan_pearson
-      value: 0.794375048304064
+      value: 79.43750460320484
     - type: manhattan_spearman
-      value: 0.7933713593557482
+      value: 79.33713593557482
     task:
       type: STS
   - dataset:
@@ -249,19 +249,19 @@ model-index:
       type: mteb/sts22-crosslingual-sts
     metrics:
     - type: cosine_pearson
-      value: 0.4596875498680092
+      value: 45.96875498680092
     - type: cosine_spearman
-      value: 0.5240550911714991
+      value: 52.405509117149904
     - type: euclidean_pearson
-      value: 0.4209745089672823
+      value: 42.097450896728226
     - type: euclidean_spearman
-      value: 0.5089022884113708
+      value: 50.89022884113707
     - type: main_score
-      value: 0.5240550911714991
+      value: 52.405509117149904
     - type: manhattan_pearson
-      value: 0.42228277270755343
+      value: 42.22827727075534
     - type: manhattan_spearman
-      value: 0.5091284105544264
+      value: 50.912841055442634
     task:
       type: STS
   - dataset:
@@ -272,19 +272,19 @@ model-index:
       type: mteb/stsbenchmark-sts
     metrics:
     - type: cosine_pearson
-      value: 0.8313261561415963
+      value: 83.13261516884116
     - type: cosine_spearman
-      value: 0.8434925272214979
+      value: 84.3492527221498
     - type: euclidean_pearson
-      value: 0.8269160336719744
+      value: 82.691603178401
     - type: euclidean_spearman
-      value: 0.830499566200785
+      value: 83.0499566200785
     - type: main_score
-      value: 0.8434925272214979
+      value: 84.3492527221498
     - type: manhattan_pearson
-      value: 0.8268307451129593
+      value: 82.68307441014618
     - type: manhattan_spearman
-      value: 0.8301315217242468
+      value: 83.01315787964519
     task:
       type: STS
   - dataset:
@@ -295,19 +295,19 @@ model-index:
       type: mteb/summeval
     metrics:
     - type: cosine_pearson
-      value: 0.3114922991233836
+      value: 31.149232235402845
     - type: cosine_spearman
-      value: 0.30685504130606256
+      value: 30.685504130606255
     - type: dot_pearson
-      value: 0.27466309476290485
+      value: 27.466307571160375
     - type: dot_spearman
-      value: 0.2893064261485915
+      value: 28.93064261485915
     - type: main_score
-      value: 0.30685504130606256
+      value: 30.685504130606255
     - type: pearson
-      value: 0.31149233329283954
+      value: 31.149232235402845
     - type: spearman
-      value: 0.30685504130606256
+      value: 30.685504130606255
     task:
       type: Summarization
 - name: >-