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/Marbert-all-nli-triplet-Matryoshka
+  results:
+  - dataset:
+      config: default
+      name: MTEB BIOSSES (default)
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+      split: test
+      type: mteb/biosses-sts
+    metrics:
+    - type: cosine_pearson
+      value: 49.25240527202211
+    - type: cosine_spearman
+      value: 51.87708566904703
+    - type: euclidean_pearson
+      value: 49.790877425774696
+    - type: euclidean_spearman
+      value: 51.725274981021855
+    - type: main_score
+      value: 51.87708566904703
+    - type: manhattan_pearson
+      value: 52.31560776967401
+    - type: manhattan_spearman
+      value: 54.28979124658997
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB SICK-R (default)
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+      split: test
+      type: mteb/sickr-sts
+    metrics:
+    - type: cosine_pearson
+      value: 65.81089479351829
+    - type: cosine_spearman
+      value: 65.80163441928238
+    - type: euclidean_pearson
+      value: 65.2718874370746
+    - type: euclidean_spearman
+      value: 65.92429031695988
+    - type: main_score
+      value: 65.80163441928238
+    - type: manhattan_pearson
+      value: 65.28701419332383
+    - type: manhattan_spearman
+      value: 65.94229793651319
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS12 (default)
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+      split: test
+      type: mteb/sts12-sts
+    metrics:
+    - type: cosine_pearson
+      value: 65.11346939995998
+    - type: cosine_spearman
+      value: 63.00297824477175
+    - type: euclidean_pearson
+      value: 63.85320097970942
+    - type: euclidean_spearman
+      value: 63.25151047701848
+    - type: main_score
+      value: 63.00297824477175
+    - type: manhattan_pearson
+      value: 64.40291990853984
+    - type: manhattan_spearman
+      value: 63.63497232399945
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS13 (default)
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+      split: test
+      type: mteb/sts13-sts
+    metrics:
+    - type: cosine_pearson
+      value: 52.2735823521702
+    - type: cosine_spearman
+      value: 52.23198766098021
+    - type: euclidean_pearson
+      value: 54.12467577456837
+    - type: euclidean_spearman
+      value: 52.40014028261351
+    - type: main_score
+      value: 52.23198766098021
+    - type: manhattan_pearson
+      value: 54.38052509834607
+    - type: manhattan_spearman
+      value: 52.70836595958237
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS14 (default)
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+      split: test
+      type: mteb/sts14-sts
+    metrics:
+    - type: cosine_pearson
+      value: 58.55307076840419
+    - type: cosine_spearman
+      value: 59.2261024017655
+    - type: euclidean_pearson
+      value: 59.55734715751804
+    - type: euclidean_spearman
+      value: 60.135899681574834
+    - type: main_score
+      value: 59.2261024017655
+    - type: manhattan_pearson
+      value: 59.99274396356966
+    - type: manhattan_spearman
+      value: 60.44325356503041
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS15 (default)
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+      split: test
+      type: mteb/sts15-sts
+    metrics:
+    - type: cosine_pearson
+      value: 68.94418532602707
+    - type: cosine_spearman
+      value: 70.01912156519296
+    - type: euclidean_pearson
+      value: 71.67028435860581
+    - type: euclidean_spearman
+      value: 71.48252471922122
+    - type: main_score
+      value: 70.01912156519296
+    - type: manhattan_pearson
+      value: 71.9587452337792
+    - type: manhattan_spearman
+      value: 71.69160519065173
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STS16 (default)
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+      split: test
+      type: mteb/sts16-sts
+    metrics:
+    - type: cosine_pearson
+      value: 62.81619254162203
+    - type: cosine_spearman
+      value: 64.98814526698425
+    - type: euclidean_pearson
+      value: 66.43531796610995
+    - type: euclidean_spearman
+      value: 66.53768451143964
+    - type: main_score
+      value: 64.98814526698425
+    - type: manhattan_pearson
+      value: 66.57822125651369
+    - type: manhattan_spearman
+      value: 66.71830390508079
+    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: 81.68055610903552
+    - type: cosine_spearman
+      value: 82.18125783448961
+    - type: euclidean_pearson
+      value: 80.5422740473486
+    - type: euclidean_spearman
+      value: 81.79456727036232
+    - type: main_score
+      value: 82.18125783448961
+    - type: manhattan_pearson
+      value: 80.43564733654793
+    - type: manhattan_spearman
+      value: 81.76103816207625
+    task:
+      type: STS
+  - dataset:
+      config: ar
+      name: MTEB STS22 (ar)
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
+      split: test
+      type: mteb/sts22-crosslingual-sts
+    metrics:
+    - type: cosine_pearson
+      value: 51.33460593849487
+    - type: cosine_spearman
+      value: 58.07741072443786
+    - type: euclidean_pearson
+      value: 54.26430308336828
+    - type: euclidean_spearman
+      value: 58.8384539429318
+    - type: main_score
+      value: 58.07741072443786
+    - type: manhattan_pearson
+      value: 54.41587176266624
+    - type: manhattan_spearman
+      value: 58.831993325957086
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB STSBenchmark (default)
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+      split: test
+      type: mteb/stsbenchmark-sts
+    metrics:
+    - type: cosine_pearson
+      value: 61.11956207522431
+    - type: cosine_spearman
+      value: 61.16768766134144
+    - type: euclidean_pearson
+      value: 64.44141934993837
+    - type: euclidean_spearman
+      value: 63.450379593077066
+    - type: main_score
+      value: 61.16768766134144
+    - type: manhattan_pearson
+      value: 64.43852352892529
+    - type: manhattan_spearman
+      value: 63.57630045107761
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB SummEval (default)
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+      split: test
+      type: mteb/summeval
+    metrics:
+    - type: cosine_pearson
+      value: 29.583566160417668
+    - type: cosine_spearman
+      value: 29.534419950502212
+    - type: dot_pearson
+      value: 28.13970643170574
+    - type: dot_spearman
+      value: 28.907762267009073
+    - type: main_score
+      value: 29.534419950502212
+    - type: pearson
+      value: 29.583566160417668
+    - type: spearman
+      value: 29.534419950502212
+    task:
+      type: Summarization
 - name: SentenceTransformer based on UBC-NLP/MARBERTv2
   results:
   - task: