---
tags:
- mteb
model-index:
- name: llama-tiny
  results:
  - task:
      type: Classification
    dataset:
      type: mteb/amazon_counterfactual
      name: MTEB AmazonCounterfactualClassification (en)
      config: en
      split: test
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    metrics:
    - type: accuracy
      value: 84.82089552238806
    - type: ap
      value: 52.244288754498804
    - type: f1
      value: 79.35565129121834
  - task:
      type: Classification
    dataset:
      type: mteb/amazon_polarity
      name: MTEB AmazonPolarityClassification
      config: default
      split: test
      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
    metrics:
    - type: accuracy
      value: 76.88005
    - type: ap
      value: 71.7558743112296
    - type: f1
      value: 76.75929709152336
  - task:
      type: Classification
    dataset:
      type: mteb/amazon_reviews_multi
      name: MTEB AmazonReviewsClassification (en)
      config: en
      split: test
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    metrics:
    - type: accuracy
      value: 36.716
    - type: f1
      value: 36.331656620051916
  - task:
      type: Clustering
    dataset:
      type: mteb/arxiv-clustering-s2s
      name: MTEB ArxivClusteringS2S
      config: default
      split: test
      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
    metrics:
    - type: v_measure
      value: 30.154098978087656
  - task:
      type: Reranking
    dataset:
      type: mteb/askubuntudupquestions-reranking
      name: MTEB AskUbuntuDupQuestions
      config: default
      split: test
      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
    metrics:
    - type: map
      value: 48.655981827941844
    - type: mrr
      value: 62.225959635931936
  - task:
      type: STS
    dataset:
      type: mteb/biosses-sts
      name: MTEB BIOSSES
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
    metrics:
    - type: cos_sim_pearson
      value: 69.1874521857414
    - type: cos_sim_spearman
      value: 67.84973877341001
    - type: euclidean_pearson
      value: 63.36571115098326
    - type: euclidean_spearman
      value: 63.01529126784642
    - type: manhattan_pearson
      value: 63.691756204527984
    - type: manhattan_spearman
      value: 63.5966298152444
  - task:
      type: Clustering
    dataset:
      type: mteb/biorxiv-clustering-s2s
      name: MTEB BiorxivClusteringS2S
      config: default
      split: test
      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
    metrics:
    - type: v_measure
      value: 24.29369891574357
  - task:
      type: Classification
    dataset:
      type: mteb/emotion
      name: MTEB EmotionClassification
      config: default
      split: test
      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
    metrics:
    - type: accuracy
      value: 41.93000000000001
    - type: f1
      value: 38.45098233405931
  - task:
      type: Classification
    dataset:
      type: mteb/mtop_domain
      name: MTEB MTOPDomainClassification (en)
      config: en
      split: test
      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
    metrics:
    - type: accuracy
      value: 87.95257637938899
    - type: f1
      value: 87.25507653572913
  - task:
      type: Classification
    dataset:
      type: mteb/mtop_intent
      name: MTEB MTOPIntentClassification (en)
      config: en
      split: test
      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
    metrics:
    - type: accuracy
      value: 78.43365253077977
    - type: f1
      value: 55.64695289940465
  - task:
      type: Classification
    dataset:
      type: mteb/amazon_massive_intent
      name: MTEB MassiveIntentClassification (en)
      config: en
      split: test
      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
    metrics:
    - type: accuracy
      value: 65.90786819098857
    - type: f1
      value: 62.35389823052779
  - task:
      type: Classification
    dataset:
      type: mteb/amazon_massive_scenario
      name: MTEB MassiveScenarioClassification (en)
      config: en
      split: test
      revision: 7d571f92784cd94a019292a1f45445077d0ef634
    metrics:
    - type: accuracy
      value: 67.61600537995966
    - type: f1
      value: 66.37808715079163
  - task:
      type: Clustering
    dataset:
      type: mteb/medrxiv-clustering-s2s
      name: MTEB MedrxivClusteringS2S
      config: default
      split: test
      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
    metrics:
    - type: v_measure
      value: 23.00601527438721
  - task:
      type: Clustering
    dataset:
      type: mteb/reddit-clustering
      name: MTEB RedditClustering
      config: default
      split: test
      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
    metrics:
    - type: v_measure
      value: 21.286029353821007
  - task:
      type: STS
    dataset:
      type: mteb/sickr-sts
      name: MTEB SICK-R
      config: default
      split: test
      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
    metrics:
    - type: cos_sim_pearson
      value: 61.34352630182002
    - type: cos_sim_spearman
      value: 57.3159446726199
    - type: euclidean_pearson
      value: 57.77383201309595
    - type: euclidean_spearman
      value: 56.52916341448532
    - type: manhattan_pearson
      value: 57.81159634093376
    - type: manhattan_spearman
      value: 56.58929614335256
  - task:
      type: STS
    dataset:
      type: mteb/sts12-sts
      name: MTEB STS12
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    metrics:
    - type: cos_sim_pearson
      value: 42.43826552918454
    - type: cos_sim_spearman
      value: 42.79832498565007
    - type: euclidean_pearson
      value: 43.28436689786081
    - type: euclidean_spearman
      value: 41.85722944201275
    - type: manhattan_pearson
      value: 43.603582859415155
    - type: manhattan_spearman
      value: 42.03496823632042
  - task:
      type: STS
    dataset:
      type: mteb/sts13-sts
      name: MTEB STS13
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    metrics:
    - type: cos_sim_pearson
      value: 58.098123831839864
    - type: cos_sim_spearman
      value: 58.76942124480372
    - type: euclidean_pearson
      value: 56.97457224841097
    - type: euclidean_spearman
      value: 57.18340478354308
    - type: manhattan_pearson
      value: 57.31295064497741
    - type: manhattan_spearman
      value: 57.493896474014484
  - task:
      type: STS
    dataset:
      type: mteb/sts14-sts
      name: MTEB STS14
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    metrics:
    - type: cos_sim_pearson
      value: 56.49517429141376
    - type: cos_sim_spearman
      value: 53.35774064269118
    - type: euclidean_pearson
      value: 55.40952387726341
    - type: euclidean_spearman
      value: 53.229797688882066
    - type: manhattan_pearson
      value: 55.74150917721058
    - type: manhattan_spearman
      value: 53.54718901411597
  - task:
      type: STS
    dataset:
      type: mteb/sts15-sts
      name: MTEB STS15
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    metrics:
    - type: cos_sim_pearson
      value: 68.72772088428103
    - type: cos_sim_spearman
      value: 69.22566145584167
    - type: euclidean_pearson
      value: 65.30796876669609
    - type: euclidean_spearman
      value: 67.10758913762312
    - type: manhattan_pearson
      value: 65.57806238071112
    - type: manhattan_spearman
      value: 67.39903132713971
  - task:
      type: STS
    dataset:
      type: mteb/sts16-sts
      name: MTEB STS16
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    metrics:
    - type: cos_sim_pearson
      value: 58.979556654868105
    - type: cos_sim_spearman
      value: 58.80648121538181
    - type: euclidean_pearson
      value: 56.6389358556767
    - type: euclidean_spearman
      value: 56.57842223984996
    - type: manhattan_pearson
      value: 56.782732319570805
    - type: manhattan_spearman
      value: 56.722675792288754
  - 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: 67.99528891263441
    - type: cos_sim_spearman
      value: 68.604405659815
    - type: euclidean_pearson
      value: 65.37326812628687
    - type: euclidean_spearman
      value: 67.71917884234688
    - type: manhattan_pearson
      value: 65.49059918281816
    - type: manhattan_spearman
      value: 67.80712877323259
  - task:
      type: STS
    dataset:
      type: mteb/stsbenchmark-sts
      name: MTEB STSBenchmark
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    metrics:
    - type: cos_sim_pearson
      value: 54.312560058176615
    - type: cos_sim_spearman
      value: 52.66713108890498
    - type: euclidean_pearson
      value: 53.872433462935966
    - type: euclidean_spearman
      value: 53.68953787551416
    - type: manhattan_pearson
      value: 54.26767414800746
    - type: manhattan_spearman
      value: 54.1060935491622
  - task:
      type: Reranking
    dataset:
      type: mteb/scidocs-reranking
      name: MTEB SciDocsRR
      config: default
      split: test
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
    metrics:
    - type: map
      value: 66.69386947176218
    - type: mrr
      value: 88.32853511775079
  - task:
      type: PairClassification
    dataset:
      type: mteb/sprintduplicatequestions-pairclassification
      name: MTEB SprintDuplicateQuestions
      config: default
      split: test
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
    metrics:
    - type: cos_sim_accuracy
      value: 99.27821782178218
    - type: cos_sim_ap
      value: 57.55972038310294
    - type: cos_sim_f1
      value: 56.744186046511636
    - type: cos_sim_precision
      value: 67.77777777777779
    - type: cos_sim_recall
      value: 48.8
    - type: dot_accuracy
      value: 99.08514851485148
    - type: dot_ap
      value: 38.03171387315323
    - type: dot_f1
      value: 42.29492650545282
    - type: dot_precision
      value: 40.21641118124437
    - type: dot_recall
      value: 44.6
    - type: euclidean_accuracy
      value: 99.25445544554455
    - type: euclidean_ap
      value: 55.0893612229229
    - type: euclidean_f1
      value: 55.27950310559005
    - type: euclidean_precision
      value: 57.2961373390558
    - type: euclidean_recall
      value: 53.400000000000006
    - type: manhattan_accuracy
      value: 99.27029702970297
    - type: manhattan_ap
      value: 56.570555954231416
    - type: manhattan_f1
      value: 56.53825284861639
    - type: manhattan_precision
      value: 61.80308422301305
    - type: manhattan_recall
      value: 52.1
    - type: max_accuracy
      value: 99.27821782178218
    - type: max_ap
      value: 57.55972038310294
    - type: max_f1
      value: 56.744186046511636
  - task:
      type: Clustering
    dataset:
      type: mteb/stackexchange-clustering
      name: MTEB StackExchangeClustering
      config: default
      split: test
      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
    metrics:
    - type: v_measure
      value: 35.549661310808844
  - task:
      type: Reranking
    dataset:
      type: mteb/stackoverflowdupquestions-reranking
      name: MTEB StackOverflowDupQuestions
      config: default
      split: test
      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
    metrics:
    - type: map
      value: 39.49585587792292
    - type: mrr
      value: 39.614673520923525
  - task:
      type: Summarization
    dataset:
      type: mteb/summeval
      name: MTEB SummEval
      config: default
      split: test
      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
    metrics:
    - type: cos_sim_pearson
      value: 31.296596619931705
    - type: cos_sim_spearman
      value: 30.615476110489308
    - type: dot_pearson
      value: 22.591641241858532
    - type: dot_spearman
      value: 23.172280120633175
  - task:
      type: Classification
    dataset:
      type: mteb/tweet_sentiment_extraction
      name: MTEB TweetSentimentExtractionClassification
      config: default
      split: test
      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
    metrics:
    - type: accuracy
      value: 56.28466327108092
    - type: f1
      value: 56.51136199945227
  - task:
      type: Clustering
    dataset:
      type: mteb/twentynewsgroups-clustering
      name: MTEB TwentyNewsgroupsClustering
      config: default
      split: test
      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
    metrics:
    - type: v_measure
      value: 18.349314406029464
---