update readme.md

README.md

@@ -3,6 +3,7 @@ language:
 - ar
 library_name: sentence-transformers
 tags:
+- mteb
 - sentence-transformers
 - sentence-similarity
 - feature-extraction
@@ -54,6 +55,261 @@ 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
+  results:
+  - dataset:
+      config: default
+      name: MTEB BIOSSES (default)
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+      split: test
+      type: mteb/biosses-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.7250818409521711
+    - type: cosine_spearman
+      value: 0.6941362982941537
+    - type: euclidean_pearson
+      value: 0.6745121488533713
+    - type: euclidean_spearman
+      value: 0.6715273493989758
+    - type: main_score
+      value: 0.6941362982941537
+    - type: manhattan_pearson
+      value: 0.6761190163962777
+    - type: manhattan_spearman
+      value: 0.6751659865246586
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB SICK-R (default)
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+      split: test
+      type: mteb/sickr-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.8361591257325394
+    - type: cosine_spearman
+      value: 0.7961916609254315
+    - type: euclidean_pearson
+      value: 0.8132044879728667
+    - type: euclidean_spearman
+      value: 0.7904866337741477
+    - type: main_score
+      value: 0.7961916609254315
+    - type: manhattan_pearson
+      value: 0.8109220507649304
+    - type: manhattan_spearman
+      value: 0.788759072870693
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS12 (default)
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+      split: test
+      type: mteb/sts12-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.8459807799938677
+    - type: cosine_spearman
+      value: 0.7738693998841099
+    - type: euclidean_pearson
+      value: 0.8392034843846014
+    - type: euclidean_spearman
+      value: 0.7675885845111178
+    - type: main_score
+      value: 0.7738693998841099
+    - type: manhattan_pearson
+      value: 0.839719185297225
+    - type: manhattan_spearman
+      value: 0.7689817666168436
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS13 (default)
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+      split: test
+      type: mteb/sts13-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.7818664261660525
+    - type: cosine_spearman
+      value: 0.7958983823792369
+    - type: euclidean_pearson
+      value: 0.7925259705344635
+    - type: euclidean_spearman
+      value: 0.8017005740384345
+    - type: main_score
+      value: 0.7958983823792369
+    - type: manhattan_pearson
+      value: 0.7912601460543303
+    - type: manhattan_spearman
+      value: 0.7998999436073664
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS14 (default)
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+      split: test
+      type: mteb/sts14-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.8097541864884892
+    - type: cosine_spearman
+      value: 0.7978614318208406
+    - type: euclidean_pearson
+      value: 0.8101514510666364
+    - type: euclidean_spearman
+      value: 0.8073664902232889
+    - type: main_score
+      value: 0.7978614318208406
+    - type: manhattan_pearson
+      value: 0.8087465598516294
+    - type: manhattan_spearman
+      value: 0.8067025764710201
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS15 (default)
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+      split: test
+      type: mteb/sts15-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.8523661146717714
+    - type: cosine_spearman
+      value: 0.8621134676636548
+    - type: euclidean_pearson
+      value: 0.8582518696321332
+    - type: euclidean_spearman
+      value: 0.8643600579765282
+    - type: main_score
+      value: 0.8621134676636548
+    - type: manhattan_pearson
+      value: 0.8583101157321226
+    - type: manhattan_spearman
+      value: 0.8642228913708263
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS16 (default)
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+      split: test
+      type: mteb/sts16-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.7920106671969702
+    - type: cosine_spearman
+      value: 0.8139570893867826
+    - type: euclidean_pearson
+      value: 0.8039578867280891
+    - type: euclidean_spearman
+      value: 0.8119950443340411
+    - type: main_score
+      value: 0.8139570893867826
+    - type: manhattan_pearson
+      value: 0.8022266789441443
+    - type: manhattan_spearman
+      value: 0.8099142422593824
+    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: 0.810529486499453
+    - type: cosine_spearman
+      value: 0.8110570655134113
+    - type: euclidean_pearson
+      value: 0.7922292797849199
+    - type: euclidean_spearman
+      value: 0.7884204232638424
+    - type: main_score
+      value: 0.8110570655134113
+    - type: manhattan_pearson
+      value: 0.794375048304064
+    - type: manhattan_spearman
+      value: 0.7933713593557482
+    task:
+      type: STS
+  - dataset:
+      config: ar
+      name: MTEB STS22 (ar)
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
+      split: test
+      type: mteb/sts22-crosslingual-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.4596875498680092
+    - type: cosine_spearman
+      value: 0.5240550911714991
+    - type: euclidean_pearson
+      value: 0.4209745089672823
+    - type: euclidean_spearman
+      value: 0.5089022884113708
+    - type: main_score
+      value: 0.5240550911714991
+    - type: manhattan_pearson
+      value: 0.42228277270755343
+    - type: manhattan_spearman
+      value: 0.5091284105544264
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STSBenchmark (default)
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+      split: test
+      type: mteb/stsbenchmark-sts
+    metrics:
+    - type: cosine_pearson
+      value: 0.8313261561415963
+    - type: cosine_spearman
+      value: 0.8434925272214979
+    - type: euclidean_pearson
+      value: 0.8269160336719744
+    - type: euclidean_spearman
+      value: 0.830499566200785
+    - type: main_score
+      value: 0.8434925272214979
+    - type: manhattan_pearson
+      value: 0.8268307451129593
+    - type: manhattan_spearman
+      value: 0.8301315217242468
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB SummEval (default)
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+      split: test
+      type: mteb/summeval
+    metrics:
+    - type: cosine_pearson
+      value: 0.3114922991233836
+    - type: cosine_spearman
+      value: 0.30685504130606256
+    - type: dot_pearson
+      value: 0.27466309476290485
+    - type: dot_spearman
+      value: 0.2893064261485915
+    - type: main_score
+      value: 0.30685504130606256
+    - type: pearson
+      value: 0.31149233329283954
+    - type: spearman
+      value: 0.30685504130606256
+    task:
+      type: Summarization
 - name: >-
     SentenceTransformer based on
     sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2