sentence-transformers safetensors bert mteb feature-extraction sentence-similarity en model-index autotrain_compatible text-embeddings-inference endpoints_compatible region:us
---
language: en
tags:
- mteb
- sentence-transformers
- feature-extraction
- sentence-similarity
model-index:
- name: qinxianliu/FAE-v1
  results:
  - task:
      type: Retrieval
    dataset:
      name: MTEB ArguAna (default)
      type: mteb/arguana
      config: default
      split: test
      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
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  - task:
      type: Reranking
    dataset:
      name: MTEB AskUbuntuDupQuestions (default)
      type: mteb/askubuntudupquestions-reranking
      config: default
      split: test
      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
    metrics:
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  - task:
      type: STS
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      name: MTEB BIOSSES (default)
      type: mteb/biosses-sts
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
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  - task:
      type: Retrieval
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      name: MTEB CQADupstackAndroidRetrieval (default)
      type: mteb/cqadupstack-android
      config: default
      split: test
      revision: f46a197baaae43b4f621051089b82a364682dfeb
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      type: CQADupstackRetrieval_is_a_combined_dataset
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  - task:
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    - type: precision_at_20
      value: 6.59
    - type: precision_at_3
      value: 33.497
    - type: precision_at_5
      value: 22.208
    - type: recall_at_1
      value: 62.58200000000001
    - type: recall_at_10
      value: 88.82
    - type: recall_at_100
      value: 97.042
    - type: recall_at_1000
      value: 99.397
    - type: recall_at_20
      value: 92.314
    - type: recall_at_3
      value: 78.901
    - type: recall_at_5
      value: 84.114
  - task:
      type: Retrieval
    dataset:
      name: MTEB SCIDOCS (default)
      type: mteb/scidocs
      config: default
      split: test
      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
    metrics:
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      value: 18.815
    - type: map_at_1
      value: 4.388
    - type: map_at_10
      value: 11.033999999999999
    - type: map_at_100
      value: 13.184000000000001
    - type: map_at_1000
      value: 13.498
    - type: map_at_20
      value: 12.132
    - type: map_at_3
      value: 7.638
    - type: map_at_5
      value: 9.311
    - type: mrr_at_1
      value: 21.6
    - type: mrr_at_10
      value: 32.14289682539679
    - type: mrr_at_100
      value: 33.367637184331095
    - type: mrr_at_1000
      value: 33.42877675945694
    - type: mrr_at_20
      value: 32.91334022917221
    - type: mrr_at_3
      value: 28.999999999999996
    - type: mrr_at_5
      value: 30.794999999999977
    - type: nauc_map_at_1000_diff1
      value: 14.992309399065002
    - type: nauc_map_at_1000_max
      value: 30.04216786671432
    - type: nauc_map_at_1000_std
      value: 19.403025833790046
    - type: nauc_map_at_100_diff1
      value: 14.97668225139453
    - type: nauc_map_at_100_max
      value: 30.01556122365911
    - type: nauc_map_at_100_std
      value: 19.19131489040135
    - type: nauc_map_at_10_diff1
      value: 16.64969338179179
    - type: nauc_map_at_10_max
      value: 28.095929894791787
    - type: nauc_map_at_10_std
      value: 14.911986168177268
    - type: nauc_map_at_1_diff1
      value: 22.9080669398112
    - type: nauc_map_at_1_max
      value: 20.470566052362248
    - type: nauc_map_at_1_std
      value: 5.387656253377904
    - type: nauc_map_at_20_diff1
      value: 16.00920195827532
    - type: nauc_map_at_20_max
      value: 29.18658304019089
    - type: nauc_map_at_20_std
      value: 16.905559771925518
    - type: nauc_map_at_3_diff1
      value: 17.811282806295306
    - type: nauc_map_at_3_max
      value: 22.775462057284404
    - type: nauc_map_at_3_std
      value: 8.812099102222447
    - type: nauc_map_at_5_diff1
      value: 17.395354432271052
    - type: nauc_map_at_5_max
      value: 24.929022266678018
    - type: nauc_map_at_5_std
      value: 12.030240965301807
    - type: nauc_mrr_at_1000_diff1
      value: 19.624949413998873
    - type: nauc_mrr_at_1000_max
      value: 23.509349249725528
    - type: nauc_mrr_at_1000_std
      value: 9.096913253790342
    - type: nauc_mrr_at_100_diff1
      value: 19.604896632633725
    - type: nauc_mrr_at_100_max
      value: 23.529226272766753
    - type: nauc_mrr_at_100_std
      value: 9.122073443817575
    - type: nauc_mrr_at_10_diff1
      value: 19.492417108173115
    - type: nauc_mrr_at_10_max
      value: 23.55139986526891
    - type: nauc_mrr_at_10_std
      value: 9.01815523265598
    - type: nauc_mrr_at_1_diff1
      value: 23.40695023735268
    - type: nauc_mrr_at_1_max
      value: 20.81235361164343
    - type: nauc_mrr_at_1_std
      value: 5.203910369618854
    - type: nauc_mrr_at_20_diff1
      value: 19.535248005619575
    - type: nauc_mrr_at_20_max
      value: 23.454689931123042
    - type: nauc_mrr_at_20_std
      value: 9.024889207132956
    - type: nauc_mrr_at_3_diff1
      value: 20.133423661128127
    - type: nauc_mrr_at_3_max
      value: 21.729896123035964
    - type: nauc_mrr_at_3_std
      value: 7.380351327580885
    - type: nauc_mrr_at_5_diff1
      value: 19.742877598619195
    - type: nauc_mrr_at_5_max
      value: 22.91644301383022
    - type: nauc_mrr_at_5_std
      value: 8.506494639648777
    - type: nauc_ndcg_at_1000_diff1
      value: 13.131716969513885
    - type: nauc_ndcg_at_1000_max
      value: 31.44563074370653
    - type: nauc_ndcg_at_1000_std
      value: 24.95358851902592
    - type: nauc_ndcg_at_100_diff1
      value: 12.300809090910738
    - type: nauc_ndcg_at_100_max
      value: 31.790835700794684
    - type: nauc_ndcg_at_100_std
      value: 24.334764158027895
    - type: nauc_ndcg_at_10_diff1
      value: 15.436722107490034
    - type: nauc_ndcg_at_10_max
      value: 28.48622904326115
    - type: nauc_ndcg_at_10_std
      value: 15.631958568118998
    - type: nauc_ndcg_at_1_diff1
      value: 23.40695023735268
    - type: nauc_ndcg_at_1_max
      value: 20.81235361164343
    - type: nauc_ndcg_at_1_std
      value: 5.203910369618854
    - type: nauc_ndcg_at_20_diff1
      value: 14.742116644623456
    - type: nauc_ndcg_at_20_max
      value: 29.904733508551946
    - type: nauc_ndcg_at_20_std
      value: 18.38754844809362
    - type: nauc_ndcg_at_3_diff1
      value: 17.823999283055503
    - type: nauc_ndcg_at_3_max
      value: 22.819089924084448
    - type: nauc_ndcg_at_3_std
      value: 8.872961233304373
    - type: nauc_ndcg_at_5_diff1
      value: 16.492850334419888
    - type: nauc_ndcg_at_5_max
      value: 25.298471810419354
    - type: nauc_ndcg_at_5_std
      value: 12.266965054397325
    - type: nauc_precision_at_1000_diff1
      value: 2.251293456224972
    - type: nauc_precision_at_1000_max
      value: 26.334788019708206
    - type: nauc_precision_at_1000_std
      value: 37.1709483032033
    - type: nauc_precision_at_100_diff1
      value: 2.206624244564809
    - type: nauc_precision_at_100_max
      value: 31.795254108850123
    - type: nauc_precision_at_100_std
      value: 35.7395278345668
    - type: nauc_precision_at_10_diff1
      value: 10.692105982421195
    - type: nauc_precision_at_10_max
      value: 30.413329798667938
    - type: nauc_precision_at_10_std
      value: 20.17405144582198
    - type: nauc_precision_at_1_diff1
      value: 23.40695023735268
    - type: nauc_precision_at_1_max
      value: 20.81235361164343
    - type: nauc_precision_at_1_std
      value: 5.203910369618854
    - type: nauc_precision_at_20_diff1
      value: 9.233644236795378
    - type: nauc_precision_at_20_max
      value: 31.725792707342443
    - type: nauc_precision_at_20_std
      value: 24.47098387854373
    - type: nauc_precision_at_3_diff1
      value: 14.61067882596925
    - type: nauc_precision_at_3_max
      value: 23.112244853705857
    - type: nauc_precision_at_3_std
      value: 10.578385087564847
    - type: nauc_precision_at_5_diff1
      value: 12.827000720835926
    - type: nauc_precision_at_5_max
      value: 26.70897621241524
    - type: nauc_precision_at_5_std
      value: 15.5251202619082
    - type: nauc_recall_at_1000_diff1
      value: 1.5399018591142186
    - type: nauc_recall_at_1000_max
      value: 26.92275012633373
    - type: nauc_recall_at_1000_std
      value: 38.5415595437211
    - type: nauc_recall_at_100_diff1
      value: 1.6769526113731705
    - type: nauc_recall_at_100_max
      value: 31.81732405206231
    - type: nauc_recall_at_100_std
      value: 36.071638624272936
    - type: nauc_recall_at_10_diff1
      value: 10.334495279158029
    - type: nauc_recall_at_10_max
      value: 30.1614363627515
    - type: nauc_recall_at_10_std
      value: 20.138861129879377
    - type: nauc_recall_at_1_diff1
      value: 22.9080669398112
    - type: nauc_recall_at_1_max
      value: 20.470566052362248
    - type: nauc_recall_at_1_std
      value: 5.387656253377904
    - type: nauc_recall_at_20_diff1
      value: 8.889315815139522
    - type: nauc_recall_at_20_max
      value: 31.399346622918234
    - type: nauc_recall_at_20_std
      value: 24.2997002128506
    - type: nauc_recall_at_3_diff1
      value: 14.219058680056603
    - type: nauc_recall_at_3_max
      value: 22.867117811125386
    - type: nauc_recall_at_3_std
      value: 10.61465361500001
    - type: nauc_recall_at_5_diff1
      value: 12.334406281143524
    - type: nauc_recall_at_5_max
      value: 26.3833742742357
    - type: nauc_recall_at_5_std
      value: 15.470639323965301
    - type: ndcg_at_1
      value: 21.6
    - type: ndcg_at_10
      value: 18.815
    - type: ndcg_at_100
      value: 27.204
    - type: ndcg_at_1000
      value: 32.72
    - type: ndcg_at_20
      value: 21.852
    - type: ndcg_at_3
      value: 17.461
    - type: ndcg_at_5
      value: 15.473
    - type: precision_at_1
      value: 21.6
    - type: precision_at_10
      value: 9.9
    - type: precision_at_100
      value: 2.196
    - type: precision_at_1000
      value: 0.35200000000000004
    - type: precision_at_20
      value: 6.705
    - type: precision_at_3
      value: 16.367
    - type: precision_at_5
      value: 13.76
    - type: recall_at_1
      value: 4.388
    - type: recall_at_10
      value: 20.041999999999998
    - type: recall_at_100
      value: 44.519999999999996
    - type: recall_at_1000
      value: 71.465
    - type: recall_at_20
      value: 27.117
    - type: recall_at_3
      value: 9.953
    - type: recall_at_5
      value: 13.943
  - task:
      type: STS
    dataset:
      name: MTEB SICK-R (default)
      type: mteb/sickr-sts
      config: default
      split: test
      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
    metrics:
    - type: cosine_pearson
      value: 83.47896294522505
    - type: cosine_spearman
      value: 78.58138846656605
    - type: euclidean_pearson
      value: 81.53550885116962
    - type: euclidean_spearman
      value: 78.58138206502672
    - type: main_score
      value: 78.58138846656605
    - type: manhattan_pearson
      value: 81.53606128698297
    - type: manhattan_spearman
      value: 78.58443151441742
    - type: pearson
      value: 83.47896301843217
    - type: spearman
      value: 78.5813878530546
  - task:
      type: STS
    dataset:
      name: MTEB STS12 (default)
      type: mteb/sts12-sts
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    metrics:
    - type: cosine_pearson
      value: 74.94256267725675
    - type: cosine_spearman
      value: 66.26009040338589
    - type: euclidean_pearson
      value: 71.55284395666686
    - type: euclidean_spearman
      value: 66.26009719717328
    - type: main_score
      value: 66.26009040338589
    - type: manhattan_pearson
      value: 71.56747157067545
    - type: manhattan_spearman
      value: 66.23543857505753
    - type: pearson
      value: 74.94256316818873
    - type: spearman
      value: 66.26066224337552
  - task:
      type: STS
    dataset:
      name: MTEB STS13 (default)
      type: mteb/sts13-sts
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    metrics:
    - type: cosine_pearson
      value: 77.49461688192719
    - type: cosine_spearman
      value: 77.33737783414868
    - type: euclidean_pearson
      value: 77.2362720791902
    - type: euclidean_spearman
      value: 77.33737790289304
    - type: main_score
      value: 77.33737783414868
    - type: manhattan_pearson
      value: 77.18968226173979
    - type: manhattan_spearman
      value: 77.30807069750404
    - type: pearson
      value: 77.49461741493985
    - type: spearman
      value: 77.3372987367678
  - task:
      type: STS
    dataset:
      name: MTEB STS14 (default)
      type: mteb/sts14-sts
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    metrics:
    - type: cosine_pearson
      value: 78.09436682848995
    - type: cosine_spearman
      value: 71.41284680400035
    - type: euclidean_pearson
      value: 76.43310290563801
    - type: euclidean_spearman
      value: 71.41283690588209
    - type: main_score
      value: 71.41284680400035
    - type: manhattan_pearson
      value: 76.4113633662835
    - type: manhattan_spearman
      value: 71.43084199305252
    - type: pearson
      value: 78.09436645082553
    - type: spearman
      value: 71.4128661731029
  - task:
      type: STS
    dataset:
      name: MTEB STS15 (default)
      type: mteb/sts15-sts
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    metrics:
    - type: cosine_pearson
      value: 79.63123634319518
    - type: cosine_spearman
      value: 81.28599026004485
    - type: euclidean_pearson
      value: 81.17266049240027
    - type: euclidean_spearman
      value: 81.28597846924721
    - type: main_score
      value: 81.28599026004485
    - type: manhattan_pearson
      value: 81.15664218783468
    - type: manhattan_spearman
      value: 81.27387035609632
    - type: pearson
      value: 79.6312366257981
    - type: spearman
      value: 81.28596595590757
  - task:
      type: STS
    dataset:
      name: MTEB STS16 (default)
      type: mteb/sts16-sts
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    metrics:
    - type: cosine_pearson
      value: 74.69295251853329
    - type: cosine_spearman
      value: 76.59558062717349
    - type: euclidean_pearson
      value: 76.67340229606259
    - type: euclidean_spearman
      value: 76.59558062717349
    - type: main_score
      value: 76.59558062717349
    - type: manhattan_pearson
      value: 76.61796295206811
    - type: manhattan_spearman
      value: 76.52455311484546
    - type: pearson
      value: 74.69295264693476
    - type: spearman
      value: 76.5955802139429
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (en-en)
      type: mteb/sts17-crosslingual-sts
      config: en-en
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    metrics:
    - type: cosine_pearson
      value: 84.93024785019507
    - type: cosine_spearman
      value: 85.05738527853588
    - type: euclidean_pearson
      value: 86.26154905611153
    - type: euclidean_spearman
      value: 85.05738527853588
    - type: main_score
      value: 85.05738527853588
    - type: manhattan_pearson
      value: 86.2883781232081
    - type: manhattan_spearman
      value: 85.16144142491157
    - type: pearson
      value: 84.93024600884287
    - type: spearman
      value: 85.05738527853588
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (it-en)
      type: mteb/sts17-crosslingual-sts
      config: it-en
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    metrics:
    - type: cosine_pearson
      value: 36.98050181111314
    - type: cosine_spearman
      value: 35.493909017546855
    - type: euclidean_pearson
      value: 37.134361088907305
    - type: euclidean_spearman
      value: 35.493909017546855
    - type: main_score
      value: 35.493909017546855
    - type: manhattan_pearson
      value: 37.955347255124856
    - type: manhattan_spearman
      value: 35.98808922360748
    - type: pearson
      value: 36.98050425264484
    - type: spearman
      value: 35.493909017546855
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (fr-en)
      type: mteb/sts17-crosslingual-sts
      config: fr-en
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    metrics:
    - type: cosine_pearson
      value: 46.54055268035715
    - type: cosine_spearman
      value: 46.40904128356623
    - type: euclidean_pearson
      value: 47.294550335163194
    - type: euclidean_spearman
      value: 46.40904128356623
    - type: main_score
      value: 46.40904128356623
    - type: manhattan_pearson
      value: 47.18458191034412
    - type: manhattan_spearman
      value: 46.50517886098983
    - type: pearson
      value: 46.5405474024788
    - type: spearman
      value: 46.40904128356623
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (ko-ko)
      type: mteb/sts17-crosslingual-sts
      config: ko-ko
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    metrics:
    - type: cosine_pearson
      value: 38.9577677634066
    - type: cosine_spearman
      value: 45.12448164996394
    - type: euclidean_pearson
      value: 43.86960012237883
    - type: euclidean_spearman
      value: 45.12448164996394
    - type: main_score
      value: 45.12448164996394
    - type: manhattan_pearson
      value: 43.83439672666363
    - type: manhattan_spearman
      value: 45.109084284045956
    - type: pearson
      value: 38.95776603490583
    - type: spearman
      value: 45.12394846080456
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (en-de)
      type: mteb/sts17-crosslingual-sts
      config: en-de
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    metrics:
    - type: cosine_pearson
      value: 55.15701799430596
    - type: cosine_spearman
      value: 55.048200010332074
    - type: euclidean_pearson
      value: 55.276904816912854
    - type: euclidean_spearman
      value: 55.04784540296499
    - type: main_score
      value: 55.048200010332074
    - type: manhattan_pearson
      value: 54.80763732978706
    - type: manhattan_spearman
      value: 54.71285245917519
    - type: pearson
      value: 55.157016418044655
    - type: spearman
      value: 55.04746965688503
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (es-en)
      type: mteb/sts17-crosslingual-sts
      config: es-en
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    metrics:
    - type: cosine_pearson
      value: 47.08563639467451
    - type: cosine_spearman
      value: 45.84416156012341
    - type: euclidean_pearson
      value: 47.594678041073266
    - type: euclidean_spearman
      value: 45.84416156012341
    - type: main_score
      value: 45.84416156012341
    - type: manhattan_pearson
      value: 47.613508854911544
    - type: manhattan_spearman
      value: 45.57190709338262
    - type: pearson
      value: 47.08562882319779
    - type: spearman
      value: 45.84416156012341
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (en-tr)
      type: mteb/sts17-crosslingual-sts
      config: en-tr
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    metrics:
    - type: cosine_pearson
      value: 9.395620031864444
    - type: cosine_spearman
      value: 3.9218330860979886
    - type: euclidean_pearson
      value: 10.44963671518243
    - type: euclidean_spearman
      value: 3.9218330860979886
    - type: main_score
      value: 3.9218330860979886
    - type: manhattan_pearson
      value: 10.552786821837499
    - type: manhattan_spearman
      value: 3.9540901882217474
    - type: pearson
      value: 9.395623469871897
    - type: spearman
      value: 3.9218330860979886
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (en-ar)
      type: mteb/sts17-crosslingual-sts
      config: en-ar
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    metrics:
    - type: cosine_pearson
      value: 0.22203481061349242
    - type: cosine_spearman
      value: 2.870498917705844
    - type: euclidean_pearson
      value: 0.39549330505408087
    - type: euclidean_spearman
      value: 2.870498917705844
    - type: main_score
      value: 2.870498917705844
    - type: manhattan_pearson
      value: 0.3438783535944422
    - type: manhattan_spearman
      value: 2.8776102976827516
    - type: pearson
      value: 0.22203680479095794
    - type: spearman
      value: 2.870498917705844
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (nl-en)
      type: mteb/sts17-crosslingual-sts
      config: nl-en
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    metrics:
    - type: cosine_pearson
      value: 38.84931140088301
    - type: cosine_spearman
      value: 33.906466580576904
    - type: euclidean_pearson
      value: 39.479512281553056
    - type: euclidean_spearman
      value: 33.906466580576904
    - type: main_score
      value: 33.906466580576904
    - type: manhattan_pearson
      value: 38.74076749827063
    - type: manhattan_spearman
      value: 33.11214954743777
    - type: pearson
      value: 38.84930967289944
    - type: spearman
      value: 33.906466580576904
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (ar-ar)
      type: mteb/sts17-crosslingual-sts
      config: ar-ar
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    metrics:
    - type: cosine_pearson
      value: 48.44401830209434
    - type: cosine_spearman
      value: 49.618608213496714
    - type: euclidean_pearson
      value: 51.14301970125222
    - type: euclidean_spearman
      value: 49.618608213496714
    - type: main_score
      value: 49.618608213496714
    - type: manhattan_pearson
      value: 51.21745885274998
    - type: manhattan_spearman
      value: 49.5552409707315
    - type: pearson
      value: 48.44402041954123
    - type: spearman
      value: 49.62879037657747
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (es-es)
      type: mteb/sts17-crosslingual-sts
      config: es-es
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    metrics:
    - type: cosine_pearson
      value: 77.44308047670222
    - type: cosine_spearman
      value: 77.56515065575512
    - type: euclidean_pearson
      value: 79.01382877478639
    - type: euclidean_spearman
      value: 77.56515065575512
    - type: main_score
      value: 77.56515065575512
    - type: manhattan_pearson
      value: 79.10875473080131
    - type: manhattan_spearman
      value: 77.71092321256016
    - type: pearson
      value: 77.44307761589218
    - type: spearman
      value: 77.56348530781206
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (fr)
      type: mteb/sts22-crosslingual-sts
      config: fr
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 72.73294371449127
    - type: cosine_spearman
      value: 77.79313192257435
    - type: euclidean_pearson
      value: 76.23899442501447
    - type: euclidean_spearman
      value: 77.79313192257435
    - type: main_score
      value: 77.79313192257435
    - type: manhattan_pearson
      value: 76.09639746176255
    - type: manhattan_spearman
      value: 77.49242595614645
    - type: pearson
      value: 72.732949953475
    - type: spearman
      value: 77.79313192257435
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (es)
      type: mteb/sts22-crosslingual-sts
      config: es
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 45.09011389888268
    - type: cosine_spearman
      value: 53.403256347928064
    - type: euclidean_pearson
      value: 51.48711827065138
    - type: euclidean_spearman
      value: 53.403256347928064
    - type: main_score
      value: 53.403256347928064
    - type: manhattan_pearson
      value: 51.41746716002863
    - type: manhattan_spearman
      value: 53.26844543878181
    - type: pearson
      value: 45.09011220990754
    - type: spearman
      value: 53.403256347928064
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (ru)
      type: mteb/sts22-crosslingual-sts
      config: ru
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 25.280313189151034
    - type: cosine_spearman
      value: 41.06113290742698
    - type: euclidean_pearson
      value: 28.175781586231157
    - type: euclidean_spearman
      value: 41.06113290742698
    - type: main_score
      value: 41.06113290742698
    - type: manhattan_pearson
      value: 28.953109908551806
    - type: manhattan_spearman
      value: 41.663836410985525
    - type: pearson
      value: 25.280311099643637
    - type: spearman
      value: 41.06113290742698
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (de-fr)
      type: mteb/sts22-crosslingual-sts
      config: de-fr
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 45.44142839309502
    - type: cosine_spearman
      value: 53.921297136928224
    - type: euclidean_pearson
      value: 48.22371811766405
    - type: euclidean_spearman
      value: 53.921297136928224
    - type: main_score
      value: 53.921297136928224
    - type: manhattan_pearson
      value: 47.90791960934547
    - type: manhattan_spearman
      value: 52.38249369532705
    - type: pearson
      value: 45.4414279078996
    - type: spearman
      value: 53.921297136928224
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (de-en)
      type: mteb/sts22-crosslingual-sts
      config: de-en
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 52.365094700443834
    - type: cosine_spearman
      value: 54.568644303182765
    - type: euclidean_pearson
      value: 56.39018187430841
    - type: euclidean_spearman
      value: 54.568644303182765
    - type: main_score
      value: 54.568644303182765
    - type: manhattan_pearson
      value: 56.324620702765316
    - type: manhattan_spearman
      value: 54.35428313885703
    - type: pearson
      value: 52.36509499669323
    - type: spearman
      value: 54.568644303182765
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (ar)
      type: mteb/sts22-crosslingual-sts
      config: ar
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 27.30941306068323
    - type: cosine_spearman
      value: 33.176621402477494
    - type: euclidean_pearson
      value: 30.178010192058892
    - type: euclidean_spearman
      value: 33.176621402477494
    - type: main_score
      value: 33.176621402477494
    - type: manhattan_pearson
      value: 29.998551552749507
    - type: manhattan_spearman
      value: 33.01580442318808
    - type: pearson
      value: 27.30941421148114
    - type: spearman
      value: 33.15588972199948
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (it)
      type: mteb/sts22-crosslingual-sts
      config: it
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 62.9833487288473
    - type: cosine_spearman
      value: 69.38429521978789
    - type: euclidean_pearson
      value: 66.07350379064765
    - type: euclidean_spearman
      value: 69.38429521978789
    - type: main_score
      value: 69.38429521978789
    - type: manhattan_pearson
      value: 66.02900856292439
    - type: manhattan_spearman
      value: 69.35237908580561
    - type: pearson
      value: 62.98334935860703
    - type: spearman
      value: 69.38429521978789
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (fr-pl)
      type: mteb/sts22-crosslingual-sts
      config: fr-pl
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 52.75739149051546
    - type: cosine_spearman
      value: 61.97797868009122
    - type: euclidean_pearson
      value: 53.942663414343365
    - type: euclidean_spearman
      value: 61.97797868009122
    - type: main_score
      value: 61.97797868009122
    - type: manhattan_pearson
      value: 56.22095634226725
    - type: manhattan_spearman
      value: 61.97797868009122
    - type: pearson
      value: 52.75738015076455
    - type: spearman
      value: 61.97797868009122
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (pl-en)
      type: mteb/sts22-crosslingual-sts
      config: pl-en
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 56.56003667243195
    - type: cosine_spearman
      value: 58.42258478740181
    - type: euclidean_pearson
      value: 58.440736717808996
    - type: euclidean_spearman
      value: 58.42258478740181
    - type: main_score
      value: 58.42258478740181
    - type: manhattan_pearson
      value: 58.46678321554849
    - type: manhattan_spearman
      value: 57.65160462257475
    - type: pearson
      value: 56.5600309417495
    - type: spearman
      value: 58.42258478740181
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (tr)
      type: mteb/sts22-crosslingual-sts
      config: tr
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 37.226902751309986
    - type: cosine_spearman
      value: 48.1165004516197
    - type: euclidean_pearson
      value: 43.409142388660136
    - type: euclidean_spearman
      value: 48.1165004516197
    - type: main_score
      value: 48.1165004516197
    - type: manhattan_pearson
      value: 43.08219829833049
    - type: manhattan_spearman
      value: 47.64156794787065
    - type: pearson
      value: 37.226897962757505
    - type: spearman
      value: 48.1165004516197
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (zh)
      type: mteb/sts22-crosslingual-sts
      config: zh
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 29.880131766327185
    - type: cosine_spearman
      value: 46.310127093746175
    - type: euclidean_pearson
      value: 37.36571816404737
    - type: euclidean_spearman
      value: 46.310127093746175
    - type: main_score
      value: 46.310127093746175
    - type: manhattan_pearson
      value: 37.60556072706827
    - type: manhattan_spearman
      value: 46.466626800159865
    - type: pearson
      value: 29.880130472551826
    - type: spearman
      value: 46.310127093746175
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (zh-en)
      type: mteb/sts22-crosslingual-sts
      config: zh-en
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 47.187786408550046
    - type: cosine_spearman
      value: 48.42284079206805
    - type: euclidean_pearson
      value: 47.291468174478155
    - type: euclidean_spearman
      value: 48.42284079206805
    - type: main_score
      value: 48.42284079206805
    - type: manhattan_pearson
      value: 48.20835653356923
    - type: manhattan_spearman
      value: 49.06357562259191
    - type: pearson
      value: 47.18777577416298
    - type: spearman
      value: 48.42284079206805
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (es-it)
      type: mteb/sts22-crosslingual-sts
      config: es-it
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 53.94953418541708
    - type: cosine_spearman
      value: 57.57021411119584
    - type: euclidean_pearson
      value: 56.766685953249926
    - type: euclidean_spearman
      value: 57.57021411119584
    - type: main_score
      value: 57.57021411119584
    - type: manhattan_pearson
      value: 56.87231344702022
    - type: manhattan_spearman
      value: 57.26001907780148
    - type: pearson
      value: 53.94953241138819
    - type: spearman
      value: 57.57021411119584
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (en)
      type: mteb/sts22-crosslingual-sts
      config: en
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 66.95451974555488
    - type: cosine_spearman
      value: 68.83740860370997
    - type: euclidean_pearson
      value: 69.94514100347804
    - type: euclidean_spearman
      value: 68.83740860370997
    - type: main_score
      value: 68.83740860370997
    - type: manhattan_pearson
      value: 69.99260802858045
    - type: manhattan_spearman
      value: 69.11127407446222
    - type: pearson
      value: 66.95451919650156
    - type: spearman
      value: 68.83740860370997
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (es-en)
      type: mteb/sts22-crosslingual-sts
      config: es-en
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 52.65521718450752
    - type: cosine_spearman
      value: 58.92556682952341
    - type: euclidean_pearson
      value: 54.87955128227681
    - type: euclidean_spearman
      value: 58.92556682952341
    - type: main_score
      value: 58.92556682952341
    - type: manhattan_pearson
      value: 55.0027352064837
    - type: manhattan_spearman
      value: 58.996193656804365
    - type: pearson
      value: 52.655220848058136
    - type: spearman
      value: 58.92556682952341
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (pl)
      type: mteb/sts22-crosslingual-sts
      config: pl
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 22.10928133587088
    - type: cosine_spearman
      value: 29.857823090492317
    - type: euclidean_pearson
      value: 14.48760450588454
    - type: euclidean_spearman
      value: 29.857823090492317
    - type: main_score
      value: 29.857823090492317
    - type: manhattan_pearson
      value: 14.570530585191099
    - type: manhattan_spearman
      value: 30.014597908053386
    - type: pearson
      value: 22.109277158795113
    - type: spearman
      value: 29.746361240735496
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (de-pl)
      type: mteb/sts22-crosslingual-sts
      config: de-pl
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 22.43358146333989
    - type: cosine_spearman
      value: 29.747103980640244
    - type: euclidean_pearson
      value: 24.938982651089304
    - type: euclidean_spearman
      value: 29.747103980640244
    - type: main_score
      value: 29.747103980640244
    - type: manhattan_pearson
      value: 25.383503956596215
    - type: manhattan_spearman
      value: 28.607722151154025
    - type: pearson
      value: 22.433578884413528
    - type: spearman
      value: 29.747103980640244
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (de)
      type: mteb/sts22-crosslingual-sts
      config: de
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 27.82285698255933
    - type: cosine_spearman
      value: 35.532237247056614
    - type: euclidean_pearson
      value: 27.63828683877825
    - type: euclidean_spearman
      value: 35.532237247056614
    - type: main_score
      value: 35.532237247056614
    - type: manhattan_pearson
      value: 27.51207738980629
    - type: manhattan_spearman
      value: 35.45982549275369
    - type: pearson
      value: 27.822854933688223
    - type: spearman
      value: 35.54209109134044
  - task:
      type: STS
    dataset:
      name: MTEB STSBenchmark (default)
      type: mteb/stsbenchmark-sts
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    metrics:
    - type: cosine_pearson
      value: 79.36368440823921
    - type: cosine_spearman
      value: 78.9560224946353
    - type: euclidean_pearson
      value: 79.83248523305473
    - type: euclidean_spearman
      value: 78.95601697270864
    - type: main_score
      value: 78.9560224946353
    - type: manhattan_pearson
      value: 79.78509763473953
    - type: manhattan_spearman
      value: 78.93780782218094
    - type: pearson
      value: 79.36368417196914
    - type: spearman
      value: 78.9560224946353
  - task:
      type: Reranking
    dataset:
      name: MTEB SciDocsRR (default)
      type: mteb/scidocs-reranking
      config: default
      split: test
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
    metrics:
    - type: main_score
      value: 83.88293293758416
    - type: map
      value: 83.88293293758416
    - type: mrr
      value: 95.53085621713075
    - type: nAUC_map_diff1
      value: -3.176543571923649
    - type: nAUC_map_max
      value: 54.14838584392502
    - type: nAUC_map_std
      value: 65.29984860036645
    - type: nAUC_mrr_diff1
      value: 42.60042960430804
    - type: nAUC_mrr_max
      value: 85.456623050802
    - type: nAUC_mrr_std
      value: 75.25741314081536
  - task:
      type: Retrieval
    dataset:
      name: MTEB SciFact (default)
      type: mteb/scifact
      config: default
      split: test
      revision: 0228b52cf27578f30900b9e5271d331663a030d7
    metrics:
    - type: main_score
      value: 63.410999999999994
    - type: map_at_1
      value: 49.611
    - type: map_at_10
      value: 58.781000000000006
    - type: map_at_100
      value: 59.695
    - type: map_at_1000
      value: 59.73500000000001
    - type: map_at_20
      value: 59.443
    - type: map_at_3
      value: 55.754999999999995
    - type: map_at_5
      value: 57.447
    - type: mrr_at_1
      value: 52.0
    - type: mrr_at_10
      value: 59.977777777777774
    - type: mrr_at_100
      value: 60.74219239109412
    - type: mrr_at_1000
      value: 60.77884905150584
    - type: mrr_at_20
      value: 60.52833222705514
    - type: mrr_at_3
      value: 57.49999999999999
    - type: mrr_at_5
      value: 58.966666666666654
    - type: nauc_map_at_1000_diff1
      value: 60.05714513432072
    - type: nauc_map_at_1000_max
      value: 41.854516877046755
    - type: nauc_map_at_1000_std
      value: -2.7219432350641037
    - type: nauc_map_at_100_diff1
      value: 60.03673950706474
    - type: nauc_map_at_100_max
      value: 41.88656645375547
    - type: nauc_map_at_100_std
      value: -2.7030698296404694
    - type: nauc_map_at_10_diff1
      value: 60.08688866827823
    - type: nauc_map_at_10_max
      value: 41.91374419091637
    - type: nauc_map_at_10_std
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  - task:
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  - task:
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      type: mteb/sprintduplicatequestions-pairclassification
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      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
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  - task:
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      type: mteb/sprintduplicatequestions-pairclassification
      config: default
      split: validation
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
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  - task:
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      type: mteb/stackoverflowdupquestions-reranking
      config: default
      split: test
      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
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  - task:
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      type: mteb/trec-covid
      config: default
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      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
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  - task:
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      type: mteb/touche2020
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    - type: nauc_precision_at_100_std
      value: 67.2854894307787
    - type: nauc_precision_at_10_diff1
      value: -0.09200325626652063
    - type: nauc_precision_at_10_max
      value: -32.03703654583935
    - type: nauc_precision_at_10_std
      value: 22.4037217406587
    - type: nauc_precision_at_1_diff1
      value: -8.06431205769537
    - type: nauc_precision_at_1_max
      value: -32.336425928178976
    - type: nauc_precision_at_1_std
      value: 13.604000993208912
    - type: nauc_precision_at_20_diff1
      value: -6.234971494983468
    - type: nauc_precision_at_20_max
      value: -30.356093477553664
    - type: nauc_precision_at_20_std
      value: 28.20524075851042
    - type: nauc_precision_at_3_diff1
      value: 4.606858014602901
    - type: nauc_precision_at_3_max
      value: -28.168779973044106
    - type: nauc_precision_at_3_std
      value: 16.698130987587955
    - type: nauc_precision_at_5_diff1
      value: 14.639189113387536
    - type: nauc_precision_at_5_max
      value: -26.78005614395128
    - type: nauc_precision_at_5_std
      value: 10.946798822151997
    - type: nauc_recall_at_1000_diff1
      value: -30.524346333490655
    - type: nauc_recall_at_1000_max
      value: -21.075417353925026
    - type: nauc_recall_at_1000_std
      value: 74.22949435007064
    - type: nauc_recall_at_100_diff1
      value: -9.77575583119297
    - type: nauc_recall_at_100_max
      value: -37.07008469837298
    - type: nauc_recall_at_100_std
      value: 52.120230360541775
    - type: nauc_recall_at_10_diff1
      value: 9.745498888406615
    - type: nauc_recall_at_10_max
      value: -40.79008195388784
    - type: nauc_recall_at_10_std
      value: 9.660739412488208
    - type: nauc_recall_at_1_diff1
      value: 7.61028045283501
    - type: nauc_recall_at_1_max
      value: -39.557582744593645
    - type: nauc_recall_at_1_std
      value: 7.735640885032767
    - type: nauc_recall_at_20_diff1
      value: 2.0644237101077745
    - type: nauc_recall_at_20_max
      value: -39.01808667391472
    - type: nauc_recall_at_20_std
      value: 19.00124585263139
    - type: nauc_recall_at_3_diff1
      value: 16.33154242036851
    - type: nauc_recall_at_3_max
      value: -36.478930737889165
    - type: nauc_recall_at_3_std
      value: 9.289013372689602
    - type: nauc_recall_at_5_diff1
      value: 26.540205506422566
    - type: nauc_recall_at_5_max
      value: -38.0518452674111
    - type: nauc_recall_at_5_std
      value: -2.2102236055615827
    - type: ndcg_at_1
      value: 16.326999999999998
    - type: ndcg_at_10
      value: 19.273
    - type: ndcg_at_100
      value: 30.534
    - type: ndcg_at_1000
      value: 42.769
    - type: ndcg_at_20
      value: 20.386000000000003
    - type: ndcg_at_3
      value: 18.381
    - type: ndcg_at_5
      value: 19.338
    - type: precision_at_1
      value: 18.367
    - type: precision_at_10
      value: 18.570999999999998
    - type: precision_at_100
      value: 6.571000000000001
    - type: precision_at_1000
      value: 1.471
    - type: precision_at_20
      value: 13.571
    - type: precision_at_3
      value: 20.408
    - type: precision_at_5
      value: 21.224
    - type: recall_at_1
      value: 1.709
    - type: recall_at_10
      value: 14.161999999999999
    - type: recall_at_100
      value: 42.65
    - type: recall_at_1000
      value: 80.388
    - type: recall_at_20
      value: 20.638
    - type: recall_at_3
      value: 4.503
    - type: recall_at_5
      value: 7.957
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterSemEval2015 (default)
      type: mteb/twittersemeval2015-pairclassification
      config: default
      split: test
      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
    metrics:
    - type: cosine_accuracy
      value: 83.32836621565238
    - type: cosine_accuracy_threshold
      value: 81.38269186019897
    - type: cosine_ap
      value: 65.00845873856156
    - type: cosine_f1
      value: 60.39579770339605
    - type: cosine_f1_threshold
      value: 74.81536865234375
    - type: cosine_precision
      value: 56.23293903548681
    - type: cosine_recall
      value: 65.22427440633246
    - type: dot_accuracy
      value: 83.32836621565238
    - type: dot_accuracy_threshold
      value: 81.38269186019897
    - type: dot_ap
      value: 65.00846130715131
    - type: dot_f1
      value: 60.39579770339605
    - type: dot_f1_threshold
      value: 74.81536865234375
    - type: dot_precision
      value: 56.23293903548681
    - type: dot_recall
      value: 65.22427440633246
    - type: euclidean_accuracy
      value: 83.32836621565238
    - type: euclidean_accuracy_threshold
      value: 61.02017164230347
    - type: euclidean_ap
      value: 65.00849169500765
    - type: euclidean_f1
      value: 60.39579770339605
    - type: euclidean_f1_threshold
      value: 70.97129821777344
    - type: euclidean_precision
      value: 56.23293903548681
    - type: euclidean_recall
      value: 65.22427440633246
    - type: main_score
      value: 65.00849957566061
    - type: manhattan_accuracy
      value: 83.30452405078381
    - type: manhattan_accuracy_threshold
      value: 1550.2988815307617
    - type: manhattan_ap
      value: 64.91239914569253
    - type: manhattan_f1
      value: 60.321324245374875
    - type: manhattan_f1_threshold
      value: 1813.8046264648438
    - type: manhattan_precision
      value: 55.98734749209219
    - type: manhattan_recall
      value: 65.3825857519789
    - type: max_accuracy
      value: 83.32836621565238
    - type: max_ap
      value: 65.00849957566061
    - type: max_f1
      value: 60.39579770339605
    - type: max_precision
      value: 56.23293903548681
    - type: max_recall
      value: 65.3825857519789
    - type: similarity_accuracy
      value: 83.32836621565238
    - type: similarity_accuracy_threshold
      value: 81.38269186019897
    - type: similarity_ap
      value: 65.00849957566061
    - type: similarity_f1
      value: 60.39579770339605
    - type: similarity_f1_threshold
      value: 74.81537461280823
    - type: similarity_precision
      value: 56.23293903548681
    - type: similarity_recall
      value: 65.22427440633246
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterURLCorpus (default)
      type: mteb/twitterurlcorpus-pairclassification
      config: default
      split: test
      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
    metrics:
    - type: cosine_accuracy
      value: 86.81064928008693
    - type: cosine_accuracy_threshold
      value: 78.35582494735718
    - type: cosine_ap
      value: 81.59163968357905
    - type: cosine_f1
      value: 73.65905665232897
    - type: cosine_f1_threshold
      value: 74.80239272117615
    - type: cosine_precision
      value: 70.484767466404
    - type: cosine_recall
      value: 77.1327379119187
    - type: dot_accuracy
      value: 86.81064928008693
    - type: dot_accuracy_threshold
      value: 78.35582494735718
    - type: dot_ap
      value: 81.5916362109219
    - type: dot_f1
      value: 73.65905665232897
    - type: dot_f1_threshold
      value: 74.80239868164062
    - type: dot_precision
      value: 70.484767466404
    - type: dot_recall
      value: 77.1327379119187
    - type: euclidean_accuracy
      value: 86.81064928008693
    - type: euclidean_accuracy_threshold
      value: 65.79388380050659
    - type: euclidean_ap
      value: 81.59164674676272
    - type: euclidean_f1
      value: 73.65905665232897
    - type: euclidean_f1_threshold
      value: 70.98958492279053
    - type: euclidean_precision
      value: 70.484767466404
    - type: euclidean_recall
      value: 77.1327379119187
    - type: main_score
      value: 81.59164674676272
    - type: manhattan_accuracy
      value: 86.78348274925291
    - type: manhattan_accuracy_threshold
      value: 1683.5384368896484
    - type: manhattan_ap
      value: 81.56908899994865
    - type: manhattan_f1
      value: 73.62843580969202
    - type: manhattan_f1_threshold
      value: 1811.0942840576172
    - type: manhattan_precision
      value: 70.51236873634505
    - type: manhattan_recall
      value: 77.03264551894056
    - type: max_accuracy
      value: 86.81064928008693
    - type: max_ap
      value: 81.59164674676272
    - type: max_f1
      value: 73.65905665232897
    - type: max_precision
      value: 70.51236873634505
    - type: max_recall
      value: 77.1327379119187
    - type: similarity_accuracy
      value: 86.81064928008693
    - type: similarity_accuracy_threshold
      value: 78.35582494735718
    - type: similarity_ap
      value: 81.59164176193602
    - type: similarity_f1
      value: 73.65905665232897
    - type: similarity_f1_threshold
      value: 74.8024046421051
    - type: similarity_precision
      value: 70.484767466404
    - type: similarity_recall
      value: 77.1327379119187
---

# FAE

This is a sentence transformer model based on e5-large-v2.

## Usage

```python
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is encoded"]

model = SentenceTransformer('FAE')
embeddings = model.encode(sentences)
print(embeddings)
```

