update readme.md

README.md

@@ -4,6 +4,7 @@ language:
 - ar
 library_name: sentence-transformers
 tags:
+- mteb
 - sentence-transformers
 - sentence-similarity
 - feature-extraction
@@ -57,6 +58,261 @@ widget:
   - الشاب نائم بينما الأم تقود ابنتها إلى الحديقة
 pipeline_tag: sentence-similarity
 model-index:
+- name: Omartificial-Intelligence-Space/Arabic-labse-Matryoshka
+  results:
+  - dataset:
+      config: default
+      name: MTEB BIOSSES (default)
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+      split: test
+      type: mteb/biosses-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.7646793455363026
+    - type: cosine_spearman
+      value: 0.7666439745271297
+    - type: euclidean_pearson
+      value: 0.7652075986969038
+    - type: euclidean_spearman
+      value: 0.7666439745271297
+    - type: main_score
+      value: 0.7666439745271297
+    - type: manhattan_pearson
+      value: 0.766800186746739
+    - type: manhattan_spearman
+      value: 0.7673066402288269
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB SICK-R (default)
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+      split: test
+      type: mteb/sickr-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.7967657888969051
+    - type: cosine_spearman
+      value: 0.7703286109413092
+    - type: euclidean_pearson
+      value: 0.7819607355683363
+    - type: euclidean_spearman
+      value: 0.7703284984176336
+    - type: main_score
+      value: 0.7703286109413092
+    - type: manhattan_pearson
+      value: 0.7825627279409032
+    - type: manhattan_spearman
+      value: 0.7700431033772339
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS12 (default)
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+      split: test
+      type: mteb/sts12-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.8394288958816406
+    - type: cosine_spearman
+      value: 0.7921432094488725
+    - type: euclidean_pearson
+      value: 0.8121333332608397
+    - type: euclidean_spearman
+      value: 0.7921511763341483
+    - type: main_score
+      value: 0.7921432094488725
+    - type: manhattan_pearson
+      value: 0.8116910808144705
+    - type: manhattan_spearman
+      value: 0.7908747588244719
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS13 (default)
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+      split: test
+      type: mteb/sts13-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.7748393894472824
+    - type: cosine_spearman
+      value: 0.7954963868861196
+    - type: euclidean_pearson
+      value: 0.7928415966325013
+    - type: euclidean_spearman
+      value: 0.7954963861790114
+    - type: main_score
+      value: 0.7954963868861196
+    - type: manhattan_pearson
+      value: 0.7918653941335837
+    - type: manhattan_spearman
+      value: 0.7946719007113934
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS14 (default)
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+      split: test
+      type: mteb/sts14-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.7851596254385209
+    - type: cosine_spearman
+      value: 0.7884601914737768
+    - type: euclidean_pearson
+      value: 0.7855199771287279
+    - type: euclidean_spearman
+      value: 0.7884602020117785
+    - type: main_score
+      value: 0.7884601914737768
+    - type: manhattan_pearson
+      value: 0.7852780144651308
+    - type: manhattan_spearman
+      value: 0.787774430076152
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS15 (default)
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+      split: test
+      type: mteb/sts15-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.8453393469117113
+    - type: cosine_spearman
+      value: 0.8560821849381648
+    - type: euclidean_pearson
+      value: 0.8532813929769605
+    - type: euclidean_spearman
+      value: 0.8560818604001905
+    - type: main_score
+      value: 0.8560821849381648
+    - type: manhattan_pearson
+      value: 0.8532782084710221
+    - type: manhattan_spearman
+      value: 0.8558098668045864
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS16 (default)
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+      split: test
+      type: mteb/sts16-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.7700197085349484
+    - type: cosine_spearman
+      value: 0.79930951699069
+    - type: euclidean_pearson
+      value: 0.7943196781811703
+    - type: euclidean_spearman
+      value: 0.7993095112410258
+    - type: main_score
+      value: 0.79930951699069
+    - type: manhattan_pearson
+      value: 0.7933744400544465
+    - type: manhattan_spearman
+      value: 0.7982939266539602
+    task:
+      type: STS
+  - dataset:
+      config: ar-ar
+      name: MTEB STS17 (ar-ar)
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
+      split: test
+      type: mteb/sts17-crosslingual-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.8160289458371599
+    - type: cosine_spearman
+      value: 0.8246806381979653
+    - type: euclidean_pearson
+      value: 0.813223525262988
+    - type: euclidean_spearman
+      value: 0.8248167872078906
+    - type: main_score
+      value: 0.8246806381979653
+    - type: manhattan_pearson
+      value: 0.8143885482754425
+    - type: manhattan_spearman
+      value: 0.8240446963802593
+    task:
+      type: STS
+  - dataset:
+      config: ar
+      name: MTEB STS22 (ar)
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
+      split: test
+      type: mteb/sts22-crosslingual-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.4958293768761313
+    - type: cosine_spearman
+      value: 0.5726188878983287
+    - type: euclidean_pearson
+      value: 0.5336549109538782
+    - type: euclidean_spearman
+      value: 0.5726188878983287
+    - type: main_score
+      value: 0.5726188878983287
+    - type: manhattan_pearson
+      value: 0.5306640323833928
+    - type: manhattan_spearman
+      value: 0.5705837935512948
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STSBenchmark (default)
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+      split: test
+      type: mteb/stsbenchmark-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.8143997878838204
+    - type: cosine_spearman
+      value: 0.8204996129795596
+    - type: euclidean_pearson
+      value: 0.8201917849577418
+    - type: euclidean_spearman
+      value: 0.8204996129795596
+    - type: main_score
+      value: 0.8204996129795596
+    - type: manhattan_pearson
+      value: 0.8203487073719467
+    - type: manhattan_spearman
+      value: 0.8203774605775651
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB SummEval (default)
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+      split: test
+      type: mteb/summeval
+    metrics:
+    - type: cosine_pearson
+      value: 0.32113473699294887
+    - type: cosine_spearman
+      value: 0.32171942337648785
+    - type: dot_pearson
+      value: 0.3211346945795219
+    - type: dot_spearman
+      value: 0.32168802810995234
+    - type: main_score
+      value: 0.32171942337648785
+    - type: pearson
+      value: 0.3211347400449732
+    - type: spearman
+      value: 0.32171942337648785
+    task:
+      type: Summarization
 - name: SentenceTransformer based on sentence-transformers/LaBSE
   results:
   - task: