---
tags:
- mteb
model-index:
- name: student
  results:
  - task:
      type: STS
    dataset:
      type: C-MTEB/AFQMC
      name: MTEB AFQMC
      config: default
      split: validation
      revision: None
    metrics:
    - type: cos_sim_pearson
      value: 40.91316509476044
    - type: cos_sim_spearman
      value: 42.15447998074082
    - type: euclidean_pearson
      value: 40.75570308038097
    - type: euclidean_spearman
      value: 42.18696851742006
    - type: manhattan_pearson
      value: 40.74593541085464
    - type: manhattan_spearman
      value: 42.168593195033196
  - task:
      type: STS
    dataset:
      type: C-MTEB/ATEC
      name: MTEB ATEC
      config: default
      split: test
      revision: None
    metrics:
    - type: cos_sim_pearson
      value: 46.725819834634464
    - type: cos_sim_spearman
      value: 47.17043036583591
  - task:
      type: STS
    dataset:
      type: mteb/biosses-sts
      name: MTEB BIOSSES
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
    metrics:
    - type: cos_sim_pearson
      value: 69.88762455284282
    - type: cos_sim_spearman
      value: 70.08171734139917
  - task:
      type: STS
    dataset:
      type: C-MTEB/BQ
      name: MTEB BQ
      config: default
      split: test
      revision: None
    metrics:
    - type: cos_sim_pearson
      value: 63.08987944823096
    - type: cos_sim_spearman
      value: 65.09202505635365
    - type: euclidean_pearson
      value: 63.94487851411776
    - type: euclidean_spearman
      value: 65.11536270927158
    - type: manhattan_pearson
      value: 63.96439145814998
    - type: manhattan_spearman
      value: 65.15436502913671
  - task:
      type: BitextMining
    dataset:
      type: mteb/bucc-bitext-mining
      name: MTEB BUCC (zh-en)
      config: zh-en
      split: test
      revision: d51519689f32196a32af33b075a01d0e7c51e252
    metrics:
    - type: accuracy
      value: 96.89310163243813
    - type: f1
      value: 96.73512374934175
    - type: precision
      value: 96.65613480779356
    - type: recall
      value: 96.89310163243813
  - task:
      type: STS
    dataset:
      type: C-MTEB/LCQMC
      name: MTEB LCQMC
      config: default
      split: test
      revision: None
    metrics:
    - type: cos_sim_pearson
      value: 71.22780217464086
    - type: cos_sim_spearman
      value: 75.41080644124342
    - type: euclidean_pearson
      value: 74.42953416060485
    - type: euclidean_spearman
      value: 75.40354009919878
    - type: manhattan_pearson
      value: 74.32774911364228
    - type: manhattan_spearman
      value: 75.3280437467927
  - task:
      type: STS
    dataset:
      type: C-MTEB/PAWSX
      name: MTEB PAWSX
      config: default
      split: test
      revision: None
    metrics:
    - type: cos_sim_pearson
      value: 41.81022935049082
    - type: cos_sim_spearman
      value: 45.976457509690135
    - type: euclidean_pearson
      value: 45.557380973395354
    - type: euclidean_spearman
      value: 45.98499286170924
    - type: manhattan_pearson
      value: 45.523262792422074
    - type: manhattan_spearman
      value: 45.93325817702208
  - task:
      type: STS
    dataset:
      type: C-MTEB/QBQTC
      name: MTEB QBQTC
      config: default
      split: test
      revision: None
    metrics:
    - type: cos_sim_pearson
      value: 39.94718485406172
    - type: cos_sim_spearman
      value: 41.098661827510305
    - type: euclidean_pearson
      value: 39.86255273340732
    - type: euclidean_spearman
      value: 41.15290935536096
    - type: manhattan_pearson
      value: 39.863123584769724
    - type: manhattan_spearman
      value: 41.17415145988198
  - task:
      type: STS
    dataset:
      type: mteb/sickr-sts
      name: MTEB SICK-R
      config: default
      split: test
      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
    metrics:
    - type: cos_sim_pearson
      value: 81.56387919608468
    - type: cos_sim_spearman
      value: 78.75732162882358
    - type: euclidean_pearson
      value: 79.02956570060519
    - type: euclidean_spearman
      value: 78.71228552912916
    - type: manhattan_pearson
      value: 79.06844694882324
    - type: manhattan_spearman
      value: 78.69868278915642
  - task:
      type: STS
    dataset:
      type: mteb/sts12-sts
      name: MTEB STS12
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    metrics:
    - type: cos_sim_pearson
      value: 86.15510864455804
    - type: cos_sim_spearman
      value: 78.7708432946505
    - type: euclidean_pearson
      value: 83.68363706832233
    - type: euclidean_spearman
      value: 78.78650831771783
    - type: manhattan_pearson
      value: 83.67089210433146
    - type: manhattan_spearman
      value: 78.70803769177486
  - task:
      type: STS
    dataset:
      type: mteb/sts13-sts
      name: MTEB STS13
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    metrics:
    - type: cos_sim_pearson
      value: 82.53786735807482
    - type: cos_sim_spearman
      value: 84.02772969929838
    - type: euclidean_pearson
      value: 83.19920856368063
    - type: euclidean_spearman
      value: 83.99306440464439
    - type: manhattan_pearson
      value: 83.08713826575895
    - type: manhattan_spearman
      value: 83.86031835772083
  - task:
      type: STS
    dataset:
      type: mteb/sts14-sts
      name: MTEB STS14
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    metrics:
    - type: cos_sim_pearson
      value: 81.56166956221318
    - type: cos_sim_spearman
      value: 80.06334801035285
    - type: euclidean_pearson
      value: 80.98387170684191
    - type: euclidean_spearman
      value: 80.04675234004853
    - type: manhattan_pearson
      value: 80.8816345688504
    - type: manhattan_spearman
      value: 79.89563062684375
  - task:
      type: STS
    dataset:
      type: mteb/sts15-sts
      name: MTEB STS15
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    metrics:
    - type: cos_sim_pearson
      value: 84.64327253569073
    - type: cos_sim_spearman
      value: 85.45110004911946
    - type: euclidean_pearson
      value: 85.14212256622051
    - type: euclidean_spearman
      value: 85.42352401462047
    - type: manhattan_pearson
      value: 85.14099528030054
    - type: manhattan_spearman
      value: 85.42775430187923
  - task:
      type: STS
    dataset:
      type: mteb/sts16-sts
      name: MTEB STS16
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    metrics:
    - type: cos_sim_pearson
      value: 80.17907671776537
    - type: cos_sim_spearman
      value: 82.3368573370074
    - type: euclidean_pearson
      value: 81.87815816267751
    - type: euclidean_spearman
      value: 82.3127081431384
    - type: manhattan_pearson
      value: 81.79695740149177
    - type: manhattan_spearman
      value: 82.22853942368664
  - task:
      type: STS
    dataset:
      type: mteb/sts17-crosslingual-sts
      name: MTEB STS17 (en-en)
      config: en-en
      split: test
      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
    metrics:
    - type: cos_sim_pearson
      value: 86.59832079150682
    - type: cos_sim_spearman
      value: 87.47193377445156
    - type: euclidean_pearson
      value: 87.34841983042398
    - type: euclidean_spearman
      value: 87.37948640391828
    - type: manhattan_pearson
      value: 87.35660438290569
    - type: manhattan_spearman
      value: 87.35438530913316
  - task:
      type: STS
    dataset:
      type: mteb/sts22-crosslingual-sts
      name: MTEB STS22 (en)
      config: en
      split: test
      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
    metrics:
    - type: cos_sim_pearson
      value: 59.55046429289429
    - type: cos_sim_spearman
      value: 64.71427514836357
  - 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: 59.51186872765162
    - type: cos_sim_spearman
      value: 65.74713636722952
  - task:
      type: STS
    dataset:
      type: mteb/sts22-crosslingual-sts
      name: MTEB STS22 (zh-en)
      config: zh-en
      split: test
      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
    metrics:
    - type: cos_sim_pearson
      value: 66.48535547574825
    - type: cos_sim_spearman
      value: 66.79810573363201
  - task:
      type: STS
    dataset:
      type: C-MTEB/STSB
      name: MTEB STSB
      config: default
      split: test
      revision: None
    metrics:
    - type: cos_sim_pearson
      value: 75.04999540891333
    - type: cos_sim_spearman
      value: 74.62339574875271
  - task:
      type: STS
    dataset:
      type: mteb/stsbenchmark-sts
      name: MTEB STSBenchmark
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    metrics:
    - type: cos_sim_pearson
      value: 84.7992876036714
    - type: cos_sim_spearman
      value: 85.61296277793372
    - type: euclidean_pearson
      value: 85.76460377585413
    - type: euclidean_spearman
      value: 85.60426880111991
    - type: manhattan_pearson
      value: 85.69426826544448
    - type: manhattan_spearman
      value: 85.476642711014
  - task:
      type: BitextMining
    dataset:
      type: mteb/tatoeba-bitext-mining
      name: MTEB Tatoeba (cmn-eng)
      config: cmn-eng
      split: test
      revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
    metrics:
    - type: accuracy
      value: 96.0
    - type: f1
      value: 94.76666666666668
    - type: precision
      value: 94.16666666666667
    - type: recall
      value: 96.0
---


使用中英文STS、NLI语料在xlmr上进行对比学习的训练