update readme.md

README.md

@@ -3,6 +3,7 @@ language:
 - ar
 library_name: sentence-transformers
 tags:
+- mteb
 - sentence-transformers
 - sentence-similarity
 - feature-extraction
@@ -56,6 +57,261 @@ widget:
   - الشاب نائم بينما الأم تقود ابنتها إلى الحديقة
 pipeline_tag: sentence-similarity
 model-index:
+- name: Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet
+  results:
+  - dataset:
+      config: default
+      name: MTEB BIOSSES (default)
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+      split: test
+      type: mteb/biosses-sts
+    metrics:
+    - type: cosine_pearson
+      value: 69.84925402371587
+    - type: cosine_spearman
+      value: 67.12261377163864
+    - type: euclidean_pearson
+      value: 68.77931734192
+    - type: euclidean_spearman
+      value: 67.10454107068325
+    - type: main_score
+      value: 67.12261377163864
+    - type: manhattan_pearson
+      value: 69.39988076793398
+    - type: manhattan_spearman
+      value: 67.68708446481159
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB SICK-R (default)
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+      split: test
+      type: mteb/sickr-sts
+    metrics:
+    - type: cosine_pearson
+      value: 72.71925116055804
+    - type: cosine_spearman
+      value: 68.9386835022992
+    - type: euclidean_pearson
+      value: 71.00708266525079
+    - type: euclidean_spearman
+      value: 69.07087906196487
+    - type: main_score
+      value: 68.9386835022992
+    - type: manhattan_pearson
+      value: 70.95266060047263
+    - type: manhattan_spearman
+      value: 69.11051988196195
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS12 (default)
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+      split: test
+      type: mteb/sts12-sts
+    metrics:
+    - type: cosine_pearson
+      value: 71.67274455692545
+    - type: cosine_spearman
+      value: 68.71669873972587
+    - type: euclidean_pearson
+      value: 69.79037485042406
+    - type: euclidean_spearman
+      value: 68.80550150752252
+    - type: main_score
+      value: 68.71669873972587
+    - type: manhattan_pearson
+      value: 69.7571283034187
+    - type: manhattan_spearman
+      value: 68.58306466019968
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS13 (default)
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+      split: test
+      type: mteb/sts13-sts
+    metrics:
+    - type: cosine_pearson
+      value: 54.172888286882504
+    - type: cosine_spearman
+      value: 56.04247097489131
+    - type: euclidean_pearson
+      value: 57.88587934777827
+    - type: euclidean_spearman
+      value: 57.6139294630564
+    - type: main_score
+      value: 56.04247097489131
+    - type: manhattan_pearson
+      value: 57.616116618991185
+    - type: manhattan_spearman
+      value: 57.23150380799801
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS14 (default)
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+      split: test
+      type: mteb/sts14-sts
+    metrics:
+    - type: cosine_pearson
+      value: 59.58820914531488
+    - type: cosine_spearman
+      value: 58.80575077741524
+    - type: euclidean_pearson
+      value: 61.1884427988923
+    - type: euclidean_spearman
+      value: 60.661625936116124
+    - type: main_score
+      value: 58.80575077741524
+    - type: manhattan_pearson
+      value: 60.800157410891885
+    - type: manhattan_spearman
+      value: 60.29447727072491
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS15 (default)
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+      split: test
+      type: mteb/sts15-sts
+    metrics:
+    - type: cosine_pearson
+      value: 73.45220638967554
+    - type: cosine_spearman
+      value: 73.74453589715445
+    - type: euclidean_pearson
+      value: 73.8887071337604
+    - type: euclidean_spearman
+      value: 73.51752094057372
+    - type: main_score
+      value: 73.74453589715445
+    - type: manhattan_pearson
+      value: 73.45961523235827
+    - type: manhattan_spearman
+      value: 73.07675481848841
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS16 (default)
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+      split: test
+      type: mteb/sts16-sts
+    metrics:
+    - type: cosine_pearson
+      value: 66.84132105540075
+    - type: cosine_spearman
+      value: 68.24735989887876
+    - type: euclidean_pearson
+      value: 68.2712231484699
+    - type: euclidean_spearman
+      value: 68.02365271737838
+    - type: main_score
+      value: 68.24735989887876
+    - type: manhattan_pearson
+      value: 67.87379902773417
+    - type: manhattan_spearman
+      value: 67.65342499070456
+    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: 79.2987412566616
+    - type: cosine_spearman
+      value: 79.93275889323859
+    - type: euclidean_pearson
+      value: 77.90301430319637
+    - type: euclidean_spearman
+      value: 79.12169562085792
+    - type: main_score
+      value: 79.93275889323859
+    - type: manhattan_pearson
+      value: 77.93298637610417
+    - type: manhattan_spearman
+      value: 79.38516109229111
+    task:
+      type: STS
+  - dataset:
+      config: ar
+      name: MTEB STS22 (ar)
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
+      split: test
+      type: mteb/sts22-crosslingual-sts
+    metrics:
+    - type: cosine_pearson
+      value: 46.955019830396445
+    - type: cosine_spearman
+      value: 52.44226852669887
+    - type: euclidean_pearson
+      value: 42.80891863181744
+    - type: euclidean_spearman
+      value: 53.175461247693704
+    - type: main_score
+      value: 52.44226852669887
+    - type: manhattan_pearson
+      value: 42.97005510727849
+    - type: manhattan_spearman
+      value: 53.158087426369825
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STSBenchmark (default)
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+      split: test
+      type: mteb/stsbenchmark-sts
+    metrics:
+    - type: cosine_pearson
+      value: 66.99025999216197
+    - type: cosine_spearman
+      value: 67.56341643518167
+    - type: euclidean_pearson
+      value: 69.73441598964332
+    - type: euclidean_spearman
+      value: 68.72541136876826
+    - type: main_score
+      value: 67.56341643518167
+    - type: manhattan_pearson
+      value: 69.43492004000674
+    - type: manhattan_spearman
+      value: 68.39614969063062
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB SummEval (default)
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+      split: test
+      type: mteb/summeval
+    metrics:
+    - type: cosine_pearson
+      value: 30.13248188083236
+    - type: cosine_spearman
+      value: 28.78575545661001
+    - type: dot_pearson
+      value: 30.934754821379464
+    - type: dot_spearman
+      value: 29.730792596057093
+    - type: main_score
+      value: 28.78575545661001
+    - type: pearson
+      value: 30.13248188083236
+    - type: spearman
+      value: 28.78575545661001
+    task:
+      type: Summarization
 - name: SentenceTransformer based on tomaarsen/mpnet-base-all-nli-triplet
   results:
   - task: