Update README.md

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README.md

@@ -15,6 +15,48 @@ model-index:
     metrics:
     - type: v_measure
       value: 4.6762575299584555
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/AFQMC
+      name: MTEB AFQMC
+      config: default
+      split: validation
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 39.92944665836267
+    - type: cos_sim_spearman
+      value: 44.25208147787637
+    - type: euclidean_pearson
+      value: 42.772842908404925
+    - type: euclidean_spearman
+      value: 44.25208147787637
+    - type: manhattan_pearson
+      value: 42.600565541302124
+    - type: manhattan_spearman
+      value: 44.10077657065955
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/ATEC
+      name: MTEB ATEC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 40.99236789888241
+    - type: cos_sim_spearman
+      value: 48.23930486989189
+    - type: euclidean_pearson
+      value: 48.58722571676781
+    - type: euclidean_spearman
+      value: 48.23930486989189
+    - type: manhattan_pearson
+      value: 48.46099247089918
+    - type: manhattan_spearman
+      value: 48.146434253428446
   - task:
       type: Classification
     dataset:
@@ -164,6 +206,27 @@ model-index:
       value: 53.987091172373944
     - type: mrr
       value: 67.65840038693224
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/BQ
+      name: MTEB BQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 54.56093256747345
+    - type: cos_sim_spearman
+      value: 56.27367976851523
+    - type: euclidean_pearson
+      value: 55.38528627937832
+    - type: euclidean_spearman
+      value: 56.27367284031196
+    - type: manhattan_pearson
+      value: 55.30402898692059
+    - type: manhattan_spearman
+      value: 56.19811385550433
   - task:
       type: BitextMining
     dataset:
@@ -837,6 +900,27 @@ model-index:
       value: 39.86267586660359
     - type: f1
       value: 71.07975139386433
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/LCQMC
+      name: MTEB LCQMC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 68.22943962011342
+    - type: cos_sim_spearman
+      value: 74.09285052519111
+    - type: euclidean_pearson
+      value: 72.99465307442854
+    - type: euclidean_spearman
+      value: 74.09285052519111
+    - type: manhattan_pearson
+      value: 73.00139084439715
+    - type: manhattan_spearman
+      value: 74.07472412844967
   - task:
       type: Classification
     dataset:
@@ -2631,6 +2715,27 @@ model-index:
       value: 72.7490265036156
     - type: f1
       value: 55.67596841902006
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/PAWSX
+      name: MTEB PAWSX
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 11.928849138540556
+    - type: cos_sim_spearman
+      value: 12.182908575820269
+    - type: euclidean_pearson
+      value: 14.455528347393356
+    - type: euclidean_spearman
+      value: 12.182908575820269
+    - type: manhattan_pearson
+      value: 14.506141564058982
+    - type: manhattan_spearman
+      value: 12.25397844569351
   - task:
       type: PairClassification
     dataset:
@@ -2767,6 +2872,27 @@ model-index:
       value: 17.57085020242915
     - type: f1
       value: 13.699227854176883
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/QBQTC
+      name: MTEB QBQTC
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 28.3302552745107
+    - type: cos_sim_spearman
+      value: 29.935415470590353
+    - type: euclidean_pearson
+      value: 28.406125326818536
+    - type: euclidean_spearman
+      value: 29.935394196825893
+    - type: manhattan_pearson
+      value: 28.535226539445524
+    - type: manhattan_spearman
+      value: 30.110291572017182
   - task:
       type: Clustering
     dataset:
@@ -2844,6 +2970,48 @@ model-index:
       value: 46.514972647839905
     - type: max_f1
       value: 53.48066298342542
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (zh)
+      config: zh
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 65.06521909332356
+    - type: cos_sim_spearman
+      value: 66.05535986394263
+    - type: euclidean_pearson
+      value: 65.77030042276493
+    - type: euclidean_spearman
+      value: 66.05535986394263
+    - type: manhattan_pearson
+      value: 65.91869122430603
+    - type: manhattan_spearman
+      value: 66.15477943325074
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/STSB
+      name: MTEB STSB
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.77776864632986
+    - type: cos_sim_spearman
+      value: 80.54295891407341
+    - type: euclidean_pearson
+      value: 80.15310049503712
+    - type: euclidean_spearman
+      value: 80.54295891407341
+    - type: manhattan_pearson
+      value: 80.16703044389185
+    - type: manhattan_spearman
+      value: 80.61034669195091
   - task:
       type: Classification
     dataset: