--- tags: - mteb - feature-extraction - sentence-similarity model-index: - name: v1 results: - task: type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 77.07462686567163 - type: ap value: 40.56545526400157 - type: f1 value: 71.14615231582567 - task: type: Classification dataset: type: mteb/amazon_polarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 93.03617500000001 - type: ap value: 89.68075993779713 - type: f1 value: 93.01941324029784 - task: type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 47.730000000000004 - type: f1 value: 47.17780812766083 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: map_at_1 value: 41.963 - type: map_at_10 value: 57.289 - type: map_at_100 value: 57.813 - type: map_at_1000 value: 57.81699999999999 - type: map_at_3 value: 53.425999999999995 - type: map_at_5 value: 55.798 - type: mrr_at_1 value: 42.603 - type: mrr_at_10 value: 57.528999999999996 - type: mrr_at_100 value: 58.053999999999995 - type: mrr_at_1000 value: 58.058 - type: mrr_at_3 value: 53.639 - type: mrr_at_5 value: 56.018 - type: ndcg_at_1 value: 41.963 - type: ndcg_at_10 value: 65.038 - type: ndcg_at_100 value: 67.243 - type: ndcg_at_1000 value: 67.337 - type: ndcg_at_3 value: 57.218 - type: ndcg_at_5 value: 61.49400000000001 - type: precision_at_1 value: 41.963 - type: precision_at_10 value: 8.94 - type: precision_at_100 value: 0.989 - type: precision_at_1000 value: 0.1 - type: precision_at_3 value: 22.736 - type: precision_at_5 value: 15.717999999999998 - type: recall_at_1 value: 41.963 - type: recall_at_10 value: 89.403 - type: recall_at_100 value: 98.933 - type: recall_at_1000 value: 99.644 - type: recall_at_3 value: 68.208 - type: recall_at_5 value: 78.592 - task: type: Clustering dataset: type: mteb/arxiv-clustering-p2p name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 49.7119537244616 - task: type: Clustering dataset: type: mteb/arxiv-clustering-s2s name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 43.45461573320737 - task: type: Reranking dataset: type: mteb/askubuntudupquestions-reranking name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 63.77183059365367 - type: mrr value: 76.47836697005673 - task: type: STS dataset: type: mteb/biosses-sts name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 84.6676490140397 - type: cos_sim_spearman value: 83.62479701399418 - type: euclidean_pearson value: 83.77348388669043 - type: euclidean_spearman value: 85.15254266808878 - type: manhattan_pearson value: 83.82596617753741 - type: manhattan_spearman value: 84.92783875287692 - task: type: Classification dataset: type: mteb/banking77 name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 87.85714285714286 - type: f1 value: 87.84374773981708 - task: type: Clustering dataset: type: mteb/biorxiv-clustering-p2p name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 42.02700557366043 - task: type: Clustering dataset: type: mteb/biorxiv-clustering-s2s name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 38.19662622375156 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 32.83 - type: map_at_10 value: 44.035000000000004 - type: map_at_100 value: 45.49 - type: map_at_1000 value: 45.613 - type: map_at_3 value: 40.542 - type: map_at_5 value: 42.213 - type: mrr_at_1 value: 39.914 - type: mrr_at_10 value: 49.742999999999995 - type: mrr_at_100 value: 50.473 - type: mrr_at_1000 value: 50.514 - type: mrr_at_3 value: 47.043 - type: mrr_at_5 value: 48.603 - type: ndcg_at_1 value: 39.914 - type: ndcg_at_10 value: 50.432 - type: ndcg_at_100 value: 55.675 - type: ndcg_at_1000 value: 57.547000000000004 - type: ndcg_at_3 value: 45.33 - type: ndcg_at_5 value: 47.326 - type: precision_at_1 value: 39.914 - type: precision_at_10 value: 9.614 - type: precision_at_100 value: 1.522 - type: precision_at_1000 value: 0.197 - type: precision_at_3 value: 21.602 - type: precision_at_5 value: 15.308 - type: recall_at_1 value: 32.83 - type: recall_at_10 value: 62.824000000000005 - type: recall_at_100 value: 84.604 - type: recall_at_1000 value: 96.318 - type: recall_at_3 value: 47.991 - type: recall_at_5 value: 53.74 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 34.666000000000004 - type: map_at_10 value: 45.149 - type: map_at_100 value: 46.373 - type: map_at_1000 value: 46.505 - type: map_at_3 value: 41.973 - type: map_at_5 value: 43.876 - type: mrr_at_1 value: 43.248 - type: mrr_at_10 value: 51.346000000000004 - type: mrr_at_100 value: 51.903 - type: mrr_at_1000 value: 51.94800000000001 - type: mrr_at_3 value: 49.289 - type: mrr_at_5 value: 50.575 - type: ndcg_at_1 value: 43.248 - type: ndcg_at_10 value: 50.849999999999994 - type: ndcg_at_100 value: 54.836 - type: ndcg_at_1000 value: 56.821999999999996 - type: ndcg_at_3 value: 46.788000000000004 - type: ndcg_at_5 value: 48.901 - type: precision_at_1 value: 43.248 - type: precision_at_10 value: 9.51 - type: precision_at_100 value: 1.5 - type: precision_at_1000 value: 0.196 - type: precision_at_3 value: 22.548000000000002 - type: precision_at_5 value: 15.936 - type: recall_at_1 value: 34.666000000000004 - type: recall_at_10 value: 60.244 - type: recall_at_100 value: 77.03 - type: recall_at_1000 value: 89.619 - type: recall_at_3 value: 48.147 - type: recall_at_5 value: 54.19199999999999 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackGamingRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 42.317 - type: map_at_10 value: 55.084999999999994 - type: map_at_100 value: 56.081 - type: map_at_1000 value: 56.131 - type: map_at_3 value: 51.87199999999999 - type: map_at_5 value: 53.638 - type: mrr_at_1 value: 48.464 - type: mrr_at_10 value: 58.664 - type: mrr_at_100 value: 59.282999999999994 - type: mrr_at_1000 value: 59.307 - type: mrr_at_3 value: 56.426 - type: mrr_at_5 value: 57.799 - type: ndcg_at_1 value: 48.464 - type: ndcg_at_10 value: 60.939 - type: ndcg_at_100 value: 64.77000000000001 - type: ndcg_at_1000 value: 65.732 - type: ndcg_at_3 value: 55.769000000000005 - type: ndcg_at_5 value: 58.282000000000004 - type: precision_at_1 value: 48.464 - type: precision_at_10 value: 9.693 - type: precision_at_100 value: 1.248 - type: precision_at_1000 value: 0.13699999999999998 - type: precision_at_3 value: 24.89 - type: precision_at_5 value: 16.828000000000003 - type: recall_at_1 value: 42.317 - type: recall_at_10 value: 74.602 - type: recall_at_100 value: 90.943 - type: recall_at_1000 value: 97.617 - type: recall_at_3 value: 60.909 - type: recall_at_5 value: 67.172 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackGisRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 28.854999999999997 - type: map_at_10 value: 37.508 - type: map_at_100 value: 38.576 - type: map_at_1000 value: 38.646 - type: map_at_3 value: 35.066 - type: map_at_5 value: 36.291000000000004 - type: mrr_at_1 value: 30.959999999999997 - type: mrr_at_10 value: 39.559 - type: mrr_at_100 value: 40.481 - type: mrr_at_1000 value: 40.536 - type: mrr_at_3 value: 37.288 - type: mrr_at_5 value: 38.463 - type: ndcg_at_1 value: 30.959999999999997 - type: ndcg_at_10 value: 42.403 - type: ndcg_at_100 value: 47.49 - type: ndcg_at_1000 value: 49.227 - type: ndcg_at_3 value: 37.599 - type: ndcg_at_5 value: 39.652 - type: precision_at_1 value: 30.959999999999997 - type: precision_at_10 value: 6.328 - type: precision_at_100 value: 0.9329999999999999 - type: precision_at_1000 value: 0.11100000000000002 - type: precision_at_3 value: 15.744 - type: precision_at_5 value: 10.667 - type: recall_at_1 value: 28.854999999999997 - type: recall_at_10 value: 55.539 - type: recall_at_100 value: 78.481 - type: recall_at_1000 value: 91.456 - type: recall_at_3 value: 42.302 - type: recall_at_5 value: 47.288999999999994 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 19.17 - type: map_at_10 value: 27.737000000000002 - type: map_at_100 value: 28.912 - type: map_at_1000 value: 29.029 - type: map_at_3 value: 25.038 - type: map_at_5 value: 26.478 - type: mrr_at_1 value: 23.632 - type: mrr_at_10 value: 32.614 - type: mrr_at_100 value: 33.578 - type: mrr_at_1000 value: 33.642 - type: mrr_at_3 value: 30.079 - type: mrr_at_5 value: 31.490000000000002 - type: ndcg_at_1 value: 23.632 - type: ndcg_at_10 value: 33.204 - type: ndcg_at_100 value: 38.805 - type: ndcg_at_1000 value: 41.508 - type: ndcg_at_3 value: 28.316999999999997 - type: ndcg_at_5 value: 30.459999999999997 - type: precision_at_1 value: 23.632 - type: precision_at_10 value: 6.007 - type: precision_at_100 value: 1.015 - type: precision_at_1000 value: 0.13799999999999998 - type: precision_at_3 value: 13.639999999999999 - type: precision_at_5 value: 9.776 - type: recall_at_1 value: 19.17 - type: recall_at_10 value: 45.247 - type: recall_at_100 value: 69.455 - type: recall_at_1000 value: 88.548 - type: recall_at_3 value: 31.55 - type: recall_at_5 value: 36.97 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 30.788 - type: map_at_10 value: 41.510000000000005 - type: map_at_100 value: 42.827 - type: map_at_1000 value: 42.936 - type: map_at_3 value: 38.454 - type: map_at_5 value: 40.116 - type: mrr_at_1 value: 37.247 - type: mrr_at_10 value: 46.976 - type: mrr_at_100 value: 47.797 - type: mrr_at_1000 value: 47.838 - type: mrr_at_3 value: 44.61 - type: mrr_at_5 value: 45.961999999999996 - type: ndcg_at_1 value: 37.247 - type: ndcg_at_10 value: 47.447 - type: ndcg_at_100 value: 52.711 - type: ndcg_at_1000 value: 54.663 - type: ndcg_at_3 value: 42.576 - type: ndcg_at_5 value: 44.832 - type: precision_at_1 value: 37.247 - type: precision_at_10 value: 8.441 - type: precision_at_100 value: 1.277 - type: precision_at_1000 value: 0.163 - type: precision_at_3 value: 20.019000000000002 - type: precision_at_5 value: 14.033000000000001 - type: recall_at_1 value: 30.788 - type: recall_at_10 value: 59.51499999999999 - type: recall_at_100 value: 81.317 - type: recall_at_1000 value: 93.88300000000001 - type: recall_at_3 value: 46.021 - type: recall_at_5 value: 51.791 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 26.671 - type: map_at_10 value: 37.088 - type: map_at_100 value: 38.482 - type: map_at_1000 value: 38.594 - type: map_at_3 value: 33.947 - type: map_at_5 value: 35.682 - type: mrr_at_1 value: 32.647999999999996 - type: mrr_at_10 value: 42.469 - type: mrr_at_100 value: 43.332 - type: mrr_at_1000 value: 43.387 - type: mrr_at_3 value: 39.916000000000004 - type: mrr_at_5 value: 41.382999999999996 - type: ndcg_at_1 value: 32.647999999999996 - type: ndcg_at_10 value: 43.013 - type: ndcg_at_100 value: 48.554 - type: ndcg_at_1000 value: 50.854 - type: ndcg_at_3 value: 37.987 - type: ndcg_at_5 value: 40.316 - type: precision_at_1 value: 32.647999999999996 - type: precision_at_10 value: 7.911 - type: precision_at_100 value: 1.2309999999999999 - type: precision_at_1000 value: 0.16 - type: precision_at_3 value: 18.151 - type: precision_at_5 value: 12.991 - type: recall_at_1 value: 26.671 - type: recall_at_10 value: 54.935 - type: recall_at_100 value: 78.387 - type: recall_at_1000 value: 93.997 - type: recall_at_3 value: 41.117 - type: recall_at_5 value: 47.211 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 28.19883333333333 - type: map_at_10 value: 37.64883333333333 - type: map_at_100 value: 38.861749999999994 - type: map_at_1000 value: 38.97366666666666 - type: map_at_3 value: 34.831999999999994 - type: map_at_5 value: 36.366083333333336 - type: mrr_at_1 value: 33.25125 - type: mrr_at_10 value: 41.90383333333333 - type: mrr_at_100 value: 42.75125 - type: mrr_at_1000 value: 42.80408333333334 - type: mrr_at_3 value: 39.58091666666667 - type: mrr_at_5 value: 40.919250000000005 - type: ndcg_at_1 value: 33.25125 - type: ndcg_at_10 value: 43.03475 - type: ndcg_at_100 value: 48.11583333333333 - type: ndcg_at_1000 value: 50.23949999999999 - type: ndcg_at_3 value: 38.373666666666665 - type: ndcg_at_5 value: 40.52941666666667 - type: precision_at_1 value: 33.25125 - type: precision_at_10 value: 7.442750000000001 - type: precision_at_100 value: 1.1699166666666667 - type: precision_at_1000 value: 0.15416666666666667 - type: precision_at_3 value: 17.556416666666667 - type: precision_at_5 value: 12.3295 - type: recall_at_1 value: 28.19883333333333 - type: recall_at_10 value: 54.61899999999999 - type: recall_at_100 value: 76.78066666666666 - type: recall_at_1000 value: 91.29883333333333 - type: recall_at_3 value: 41.69391666666667 - type: recall_at_5 value: 47.250083333333336 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackStatsRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 26.891 - type: map_at_10 value: 33.765 - type: map_at_100 value: 34.762 - type: map_at_1000 value: 34.855999999999995 - type: map_at_3 value: 31.813999999999997 - type: map_at_5 value: 32.925 - type: mrr_at_1 value: 30.368000000000002 - type: mrr_at_10 value: 36.85 - type: mrr_at_100 value: 37.681 - type: mrr_at_1000 value: 37.747 - type: mrr_at_3 value: 35.046 - type: mrr_at_5 value: 36.065999999999995 - type: ndcg_at_1 value: 30.368000000000002 - type: ndcg_at_10 value: 37.716 - type: ndcg_at_100 value: 42.529 - type: ndcg_at_1000 value: 44.769999999999996 - type: ndcg_at_3 value: 34.226 - type: ndcg_at_5 value: 35.933 - type: precision_at_1 value: 30.368000000000002 - type: precision_at_10 value: 5.736 - type: precision_at_100 value: 0.8789999999999999 - type: precision_at_1000 value: 0.11299999999999999 - type: precision_at_3 value: 14.519000000000002 - type: precision_at_5 value: 9.969 - type: recall_at_1 value: 26.891 - type: recall_at_10 value: 46.733999999999995 - type: recall_at_100 value: 68.696 - type: recall_at_1000 value: 85.085 - type: recall_at_3 value: 37.153000000000006 - type: recall_at_5 value: 41.396 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackTexRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 19.184 - type: map_at_10 value: 26.717000000000002 - type: map_at_100 value: 27.863 - type: map_at_1000 value: 27.98 - type: map_at_3 value: 24.248 - type: map_at_5 value: 25.619999999999997 - type: mrr_at_1 value: 23.021 - type: mrr_at_10 value: 30.517 - type: mrr_at_100 value: 31.480000000000004 - type: mrr_at_1000 value: 31.549 - type: mrr_at_3 value: 28.194999999999997 - type: mrr_at_5 value: 29.573 - type: ndcg_at_1 value: 23.021 - type: ndcg_at_10 value: 31.501 - type: ndcg_at_100 value: 36.927 - type: ndcg_at_1000 value: 39.61 - type: ndcg_at_3 value: 27.058 - type: ndcg_at_5 value: 29.171999999999997 - type: precision_at_1 value: 23.021 - type: precision_at_10 value: 5.64 - type: precision_at_100 value: 0.97 - type: precision_at_1000 value: 0.13799999999999998 - type: precision_at_3 value: 12.572 - type: precision_at_5 value: 9.147 - type: recall_at_1 value: 19.184 - type: recall_at_10 value: 42.108000000000004 - type: recall_at_100 value: 66.438 - type: recall_at_1000 value: 85.309 - type: recall_at_3 value: 29.853 - type: recall_at_5 value: 35.228 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackUnixRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 27.516000000000002 - type: map_at_10 value: 37.16 - type: map_at_100 value: 38.329 - type: map_at_1000 value: 38.424 - type: map_at_3 value: 34.365 - type: map_at_5 value: 35.905 - type: mrr_at_1 value: 32.275999999999996 - type: mrr_at_10 value: 41.192 - type: mrr_at_100 value: 42.055 - type: mrr_at_1000 value: 42.111 - type: mrr_at_3 value: 38.682 - type: mrr_at_5 value: 40.044000000000004 - type: ndcg_at_1 value: 32.275999999999996 - type: ndcg_at_10 value: 42.573 - type: ndcg_at_100 value: 47.9 - type: ndcg_at_1000 value: 50.005 - type: ndcg_at_3 value: 37.536 - type: ndcg_at_5 value: 39.812 - type: precision_at_1 value: 32.275999999999996 - type: precision_at_10 value: 7.127 - type: precision_at_100 value: 1.107 - type: precision_at_1000 value: 0.13899999999999998 - type: precision_at_3 value: 16.947000000000003 - type: precision_at_5 value: 11.866 - type: recall_at_1 value: 27.516000000000002 - type: recall_at_10 value: 54.94 - type: recall_at_100 value: 78.011 - type: recall_at_1000 value: 92.66 - type: recall_at_3 value: 41.522 - type: recall_at_5 value: 46.989 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 25.052999999999997 - type: map_at_10 value: 33.847 - type: map_at_100 value: 35.555 - type: map_at_1000 value: 35.772999999999996 - type: map_at_3 value: 31.273 - type: map_at_5 value: 32.49 - type: mrr_at_1 value: 30.435000000000002 - type: mrr_at_10 value: 38.41 - type: mrr_at_100 value: 39.567 - type: mrr_at_1000 value: 39.62 - type: mrr_at_3 value: 36.265 - type: mrr_at_5 value: 37.342 - type: ndcg_at_1 value: 30.435000000000002 - type: ndcg_at_10 value: 39.579 - type: ndcg_at_100 value: 45.865 - type: ndcg_at_1000 value: 48.363 - type: ndcg_at_3 value: 35.545 - type: ndcg_at_5 value: 37.023 - type: precision_at_1 value: 30.435000000000002 - type: precision_at_10 value: 7.668 - type: precision_at_100 value: 1.518 - type: precision_at_1000 value: 0.24 - type: precision_at_3 value: 16.798 - type: precision_at_5 value: 11.858 - type: recall_at_1 value: 25.052999999999997 - type: recall_at_10 value: 50.160000000000004 - type: recall_at_100 value: 78.313 - type: recall_at_1000 value: 93.697 - type: recall_at_3 value: 38.368 - type: recall_at_5 value: 42.568 - task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 24.445 - type: map_at_10 value: 32.185 - type: map_at_100 value: 33.091 - type: map_at_1000 value: 33.196999999999996 - type: map_at_3 value: 29.392000000000003 - type: map_at_5 value: 31.159 - type: mrr_at_1 value: 26.802 - type: mrr_at_10 value: 34.506 - type: mrr_at_100 value: 35.385 - type: mrr_at_1000 value: 35.449999999999996 - type: mrr_at_3 value: 32.132 - type: mrr_at_5 value: 33.731 - type: ndcg_at_1 value: 26.802 - type: ndcg_at_10 value: 36.76 - type: ndcg_at_100 value: 41.327999999999996 - type: ndcg_at_1000 value: 43.773 - type: ndcg_at_3 value: 31.752999999999997 - type: ndcg_at_5 value: 34.644000000000005 - type: precision_at_1 value: 26.802 - type: precision_at_10 value: 5.638 - type: precision_at_100 value: 0.839 - type: precision_at_1000 value: 0.11800000000000001 - type: precision_at_3 value: 13.247 - type: precision_at_5 value: 9.575 - type: recall_at_1 value: 24.445 - type: recall_at_10 value: 48.58 - type: recall_at_100 value: 69.69300000000001 - type: recall_at_1000 value: 87.397 - type: recall_at_3 value: 35.394 - type: recall_at_5 value: 42.455 - task: type: Retrieval dataset: type: climate-fever name: MTEB ClimateFEVER config: default split: test revision: None metrics: - type: map_at_1 value: 17.441000000000003 - type: map_at_10 value: 29.369 - type: map_at_100 value: 31.339 - type: map_at_1000 value: 31.537 - type: map_at_3 value: 25.09 - type: map_at_5 value: 27.388 - type: mrr_at_1 value: 39.217999999999996 - type: mrr_at_10 value: 51.23799999999999 - type: mrr_at_100 value: 51.88 - type: mrr_at_1000 value: 51.905 - type: mrr_at_3 value: 48.426 - type: mrr_at_5 value: 49.986000000000004 - type: ndcg_at_1 value: 39.217999999999996 - type: ndcg_at_10 value: 38.987 - type: ndcg_at_100 value: 46.043 - type: ndcg_at_1000 value: 49.19 - type: ndcg_at_3 value: 33.426 - type: ndcg_at_5 value: 35.182 - type: precision_at_1 value: 39.217999999999996 - type: precision_at_10 value: 11.909 - type: precision_at_100 value: 1.9640000000000002 - type: precision_at_1000 value: 0.255 - type: precision_at_3 value: 24.973 - type: precision_at_5 value: 18.528 - type: recall_at_1 value: 17.441000000000003 - type: recall_at_10 value: 44.378 - type: recall_at_100 value: 68.377 - type: recall_at_1000 value: 85.67 - type: recall_at_3 value: 30.214999999999996 - type: recall_at_5 value: 36.094 - task: type: Retrieval dataset: type: dbpedia-entity name: MTEB DBPedia config: default split: test revision: None metrics: - type: map_at_1 value: 9.922 - type: map_at_10 value: 22.095000000000002 - type: map_at_100 value: 32.196999999999996 - type: map_at_1000 value: 33.949 - type: map_at_3 value: 15.695999999999998 - type: map_at_5 value: 18.561 - type: mrr_at_1 value: 71.75 - type: mrr_at_10 value: 79.4 - type: mrr_at_100 value: 79.64 - type: mrr_at_1000 value: 79.645 - type: mrr_at_3 value: 77.792 - type: mrr_at_5 value: 79.00399999999999 - type: ndcg_at_1 value: 59.25 - type: ndcg_at_10 value: 45.493 - type: ndcg_at_100 value: 51.461 - type: ndcg_at_1000 value: 58.62500000000001 - type: ndcg_at_3 value: 50.038000000000004 - type: ndcg_at_5 value: 47.796 - type: precision_at_1 value: 71.75 - type: precision_at_10 value: 36.325 - type: precision_at_100 value: 12.068 - type: precision_at_1000 value: 2.2089999999999996 - type: precision_at_3 value: 53.25 - type: precision_at_5 value: 46.650000000000006 - type: recall_at_1 value: 9.922 - type: recall_at_10 value: 27.371000000000002 - type: recall_at_100 value: 58.36900000000001 - type: recall_at_1000 value: 81.43 - type: recall_at_3 value: 16.817 - type: recall_at_5 value: 21.179000000000002 - task: type: Classification dataset: type: mteb/emotion name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 54.665 - type: f1 value: 49.727174733557334 - task: type: Retrieval dataset: type: fever name: MTEB FEVER config: default split: test revision: None metrics: - type: map_at_1 value: 77.523 - type: map_at_10 value: 85.917 - type: map_at_100 value: 86.102 - type: map_at_1000 value: 86.115 - type: map_at_3 value: 84.946 - type: map_at_5 value: 85.541 - type: mrr_at_1 value: 83.678 - type: mrr_at_10 value: 90.24600000000001 - type: mrr_at_100 value: 90.278 - type: mrr_at_1000 value: 90.279 - type: mrr_at_3 value: 89.779 - type: mrr_at_5 value: 90.09700000000001 - type: ndcg_at_1 value: 83.678 - type: ndcg_at_10 value: 89.34100000000001 - type: ndcg_at_100 value: 89.923 - type: ndcg_at_1000 value: 90.14 - type: ndcg_at_3 value: 88.01400000000001 - type: ndcg_at_5 value: 88.723 - type: precision_at_1 value: 83.678 - type: precision_at_10 value: 10.687000000000001 - type: precision_at_100 value: 1.123 - type: precision_at_1000 value: 0.116 - type: precision_at_3 value: 33.678000000000004 - type: precision_at_5 value: 20.771 - type: recall_at_1 value: 77.523 - type: recall_at_10 value: 95.48299999999999 - type: recall_at_100 value: 97.622 - type: recall_at_1000 value: 98.932 - type: recall_at_3 value: 91.797 - type: recall_at_5 value: 93.702 - task: type: Retrieval dataset: type: fiqa name: MTEB FiQA2018 config: default split: test revision: None metrics: - type: map_at_1 value: 23.335 - type: map_at_10 value: 37.689 - type: map_at_100 value: 39.638 - type: map_at_1000 value: 39.805 - type: map_at_3 value: 33.099000000000004 - type: map_at_5 value: 35.563 - type: mrr_at_1 value: 45.525 - type: mrr_at_10 value: 54.07300000000001 - type: mrr_at_100 value: 54.736 - type: mrr_at_1000 value: 54.772 - type: mrr_at_3 value: 51.62 - type: mrr_at_5 value: 52.932 - type: ndcg_at_1 value: 45.525 - type: ndcg_at_10 value: 45.877 - type: ndcg_at_100 value: 52.428 - type: ndcg_at_1000 value: 55.089 - type: ndcg_at_3 value: 42.057 - type: ndcg_at_5 value: 43.067 - type: precision_at_1 value: 45.525 - type: precision_at_10 value: 12.67 - type: precision_at_100 value: 1.951 - type: precision_at_1000 value: 0.242 - type: precision_at_3 value: 28.035 - type: precision_at_5 value: 20.525 - type: recall_at_1 value: 23.335 - type: recall_at_10 value: 53.047 - type: recall_at_100 value: 77.061 - type: recall_at_1000 value: 92.842 - type: recall_at_3 value: 38.182 - type: recall_at_5 value: 44.094 - task: type: Retrieval dataset: type: hotpotqa name: MTEB HotpotQA config: default split: test revision: None metrics: - type: map_at_1 value: 41.918 - type: map_at_10 value: 69.01 - type: map_at_100 value: 69.806 - type: map_at_1000 value: 69.853 - type: map_at_3 value: 65.594 - type: map_at_5 value: 67.77300000000001 - type: mrr_at_1 value: 83.83500000000001 - type: mrr_at_10 value: 88.804 - type: mrr_at_100 value: 88.912 - type: mrr_at_1000 value: 88.915 - type: mrr_at_3 value: 88.091 - type: mrr_at_5 value: 88.564 - type: ndcg_at_1 value: 83.83500000000001 - type: ndcg_at_10 value: 76.627 - type: ndcg_at_100 value: 79.269 - type: ndcg_at_1000 value: 80.122 - type: ndcg_at_3 value: 71.98 - type: ndcg_at_5 value: 74.64 - type: precision_at_1 value: 83.83500000000001 - type: precision_at_10 value: 16.005 - type: precision_at_100 value: 1.806 - type: precision_at_1000 value: 0.192 - type: precision_at_3 value: 46.544999999999995 - type: precision_at_5 value: 30.026000000000003 - type: recall_at_1 value: 41.918 - type: recall_at_10 value: 80.027 - type: recall_at_100 value: 90.29700000000001 - type: recall_at_1000 value: 95.901 - type: recall_at_3 value: 69.818 - type: recall_at_5 value: 75.064 - task: type: Classification dataset: type: mteb/imdb name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 93.70040000000002 - type: ap value: 90.58039961008838 - type: f1 value: 93.696322976805 - task: type: Retrieval dataset: type: msmarco name: MTEB MSMARCO config: default split: dev revision: None metrics: - type: map_at_1 value: 23.388 - type: map_at_10 value: 36.164 - type: map_at_100 value: 37.289 - type: map_at_1000 value: 37.336000000000006 - type: map_at_3 value: 32.208 - type: map_at_5 value: 34.482 - type: mrr_at_1 value: 23.997 - type: mrr_at_10 value: 36.779 - type: mrr_at_100 value: 37.839 - type: mrr_at_1000 value: 37.881 - type: mrr_at_3 value: 32.93 - type: mrr_at_5 value: 35.158 - type: ndcg_at_1 value: 23.997 - type: ndcg_at_10 value: 43.282 - type: ndcg_at_100 value: 48.637 - type: ndcg_at_1000 value: 49.754 - type: ndcg_at_3 value: 35.266999999999996 - type: ndcg_at_5 value: 39.305 - type: precision_at_1 value: 23.997 - type: precision_at_10 value: 6.821000000000001 - type: precision_at_100 value: 0.9490000000000001 - type: precision_at_1000 value: 0.104 - type: precision_at_3 value: 15.004999999999999 - type: precision_at_5 value: 11.054 - type: recall_at_1 value: 23.388 - type: recall_at_10 value: 65.127 - type: recall_at_100 value: 89.753 - type: recall_at_1000 value: 98.173 - type: recall_at_3 value: 43.4 - type: recall_at_5 value: 53.071999999999996 - task: type: Classification dataset: type: mteb/mtop_domain name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 95.16187870497038 - type: f1 value: 94.92465121683176 - task: type: Classification dataset: type: mteb/mtop_intent name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 80.03191974464204 - type: f1 value: 61.33007652226683 - task: type: Classification dataset: type: mteb/amazon_massive_intent name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 79.09885675857431 - type: f1 value: 76.96223435507879 - task: type: Classification dataset: type: mteb/amazon_massive_scenario name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 81.94687289845326 - type: f1 value: 81.72213346382495 - task: type: Clustering dataset: type: mteb/medrxiv-clustering-p2p name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 36.23008400582387 - task: type: Clustering dataset: type: mteb/medrxiv-clustering-s2s name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 32.38335563600822 - task: type: Reranking dataset: type: mteb/mind_small name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 31.52782587210441 - type: mrr value: 32.7035429328629 - task: type: Retrieval dataset: type: nfcorpus name: MTEB NFCorpus config: default split: test revision: None metrics: - type: map_at_1 value: 6.845999999999999 - type: map_at_10 value: 14.63 - type: map_at_100 value: 18.345 - type: map_at_1000 value: 19.807 - type: map_at_3 value: 10.953 - type: map_at_5 value: 12.697 - type: mrr_at_1 value: 47.368 - type: mrr_at_10 value: 56.408 - type: mrr_at_100 value: 56.991 - type: mrr_at_1000 value: 57.02700000000001 - type: mrr_at_3 value: 54.747 - type: mrr_at_5 value: 55.846 - type: ndcg_at_1 value: 45.82 - type: ndcg_at_10 value: 36.732 - type: ndcg_at_100 value: 34.036 - type: ndcg_at_1000 value: 42.918 - type: ndcg_at_3 value: 42.628 - type: ndcg_at_5 value: 40.128 - type: precision_at_1 value: 47.368 - type: precision_at_10 value: 26.904 - type: precision_at_100 value: 8.334 - type: precision_at_1000 value: 2.111 - type: precision_at_3 value: 40.144000000000005 - type: precision_at_5 value: 34.489 - type: recall_at_1 value: 6.845999999999999 - type: recall_at_10 value: 18.232 - type: recall_at_100 value: 34.136 - type: recall_at_1000 value: 65.57 - type: recall_at_3 value: 11.759 - type: recall_at_5 value: 14.707999999999998 - task: type: Retrieval dataset: type: nq name: MTEB NQ config: default split: test revision: None metrics: - type: map_at_1 value: 32.607 - type: map_at_10 value: 48.68 - type: map_at_100 value: 49.631 - type: map_at_1000 value: 49.653999999999996 - type: map_at_3 value: 44.174 - type: map_at_5 value: 46.865 - type: mrr_at_1 value: 36.79 - type: mrr_at_10 value: 51.156 - type: mrr_at_100 value: 51.856 - type: mrr_at_1000 value: 51.870000000000005 - type: mrr_at_3 value: 47.455999999999996 - type: mrr_at_5 value: 49.724000000000004 - type: ndcg_at_1 value: 36.79 - type: ndcg_at_10 value: 56.541 - type: ndcg_at_100 value: 60.465 - type: ndcg_at_1000 value: 61.013 - type: ndcg_at_3 value: 48.209 - type: ndcg_at_5 value: 52.644000000000005 - type: precision_at_1 value: 36.79 - type: precision_at_10 value: 9.27 - type: precision_at_100 value: 1.149 - type: precision_at_1000 value: 0.12 - type: precision_at_3 value: 21.852 - type: precision_at_5 value: 15.672 - type: recall_at_1 value: 32.607 - type: recall_at_10 value: 77.957 - type: recall_at_100 value: 94.757 - type: recall_at_1000 value: 98.832 - type: recall_at_3 value: 56.61000000000001 - type: recall_at_5 value: 66.732 - task: type: Retrieval dataset: type: quora name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 71.949 - type: map_at_10 value: 85.863 - type: map_at_100 value: 86.491 - type: map_at_1000 value: 86.505 - type: map_at_3 value: 83.043 - type: map_at_5 value: 84.8 - type: mrr_at_1 value: 82.93 - type: mrr_at_10 value: 88.716 - type: mrr_at_100 value: 88.805 - type: mrr_at_1000 value: 88.805 - type: mrr_at_3 value: 87.848 - type: mrr_at_5 value: 88.452 - type: ndcg_at_1 value: 82.94 - type: ndcg_at_10 value: 89.396 - type: ndcg_at_100 value: 90.523 - type: ndcg_at_1000 value: 90.596 - type: ndcg_at_3 value: 86.833 - type: ndcg_at_5 value: 88.225 - type: precision_at_1 value: 82.94 - type: precision_at_10 value: 13.522 - type: precision_at_100 value: 1.5350000000000001 - type: precision_at_1000 value: 0.157 - type: precision_at_3 value: 38.019999999999996 - type: precision_at_5 value: 24.874 - type: recall_at_1 value: 71.949 - type: recall_at_10 value: 95.985 - type: recall_at_100 value: 99.705 - type: recall_at_1000 value: 99.982 - type: recall_at_3 value: 88.413 - type: recall_at_5 value: 92.532 - task: type: Clustering dataset: type: mteb/reddit-clustering name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 58.50397537756067 - task: type: Clustering dataset: type: mteb/reddit-clustering-p2p name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 65.09111585312182 - task: type: Retrieval dataset: type: scidocs name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 5.328 - type: map_at_10 value: 14.025000000000002 - type: map_at_100 value: 16.403000000000002 - type: map_at_1000 value: 16.755 - type: map_at_3 value: 10.128 - type: map_at_5 value: 12.042 - type: mrr_at_1 value: 26.3 - type: mrr_at_10 value: 38.027 - type: mrr_at_100 value: 39.112 - type: mrr_at_1000 value: 39.15 - type: mrr_at_3 value: 34.433 - type: mrr_at_5 value: 36.437999999999995 - type: ndcg_at_1 value: 26.3 - type: ndcg_at_10 value: 22.904 - type: ndcg_at_100 value: 31.808999999999997 - type: ndcg_at_1000 value: 37.408 - type: ndcg_at_3 value: 22.017999999999997 - type: ndcg_at_5 value: 19.122 - type: precision_at_1 value: 26.3 - type: precision_at_10 value: 11.84 - type: precision_at_100 value: 2.471 - type: precision_at_1000 value: 0.38 - type: precision_at_3 value: 20.767 - type: precision_at_5 value: 16.84 - type: recall_at_1 value: 5.328 - type: recall_at_10 value: 24.0 - type: recall_at_100 value: 50.173 - type: recall_at_1000 value: 77.22200000000001 - type: recall_at_3 value: 12.652 - type: recall_at_5 value: 17.092 - task: type: STS dataset: type: mteb/sickr-sts name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 84.24083803725871 - type: cos_sim_spearman value: 81.00003675131066 - type: euclidean_pearson value: 81.66288190755017 - type: euclidean_spearman value: 80.8591677979369 - type: manhattan_pearson value: 81.65188499932559 - type: manhattan_spearman value: 80.84969273926379 - task: type: STS dataset: type: mteb/sts12-sts name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 86.86245596720207 - type: cos_sim_spearman value: 79.76982315849432 - type: euclidean_pearson value: 84.08674590166918 - type: euclidean_spearman value: 79.82960710579087 - type: manhattan_pearson value: 84.05370633411236 - type: manhattan_spearman value: 79.78889972125556 - task: type: STS dataset: type: mteb/sts13-sts name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 84.3103299403235 - type: cos_sim_spearman value: 85.4504570470498 - type: euclidean_pearson value: 84.78582379605986 - type: euclidean_spearman value: 85.42627922874793 - type: manhattan_pearson value: 84.72093039095986 - type: manhattan_spearman value: 85.37545973987105 - task: type: STS dataset: type: mteb/sts14-sts name: MTEB STS14 config: default split: test revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 metrics: - type: cos_sim_pearson value: 81.7811125755656 - type: cos_sim_spearman value: 82.1418064552016 - type: euclidean_pearson value: 81.76768854155489 - type: euclidean_spearman value: 81.87925885994605 - type: manhattan_pearson value: 81.73823381133532 - type: manhattan_spearman value: 81.83848324852914 - task: type: STS dataset: type: mteb/sts15-sts name: MTEB STS15 config: default split: test revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 metrics: - type: cos_sim_pearson value: 84.77170385298344 - type: cos_sim_spearman value: 86.6995105881395 - type: euclidean_pearson value: 86.09997193597131 - type: euclidean_spearman value: 86.6691809576152 - type: manhattan_pearson value: 86.05819223132623 - type: manhattan_spearman value: 86.63909618446979 - task: type: STS dataset: type: mteb/sts16-sts name: MTEB STS16 config: default split: test revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 metrics: - type: cos_sim_pearson value: 84.42286993921634 - type: cos_sim_spearman value: 86.35209040752669 - type: euclidean_pearson value: 85.42582334105671 - type: euclidean_spearman value: 86.28412244758633 - type: manhattan_pearson value: 85.43059107029272 - type: manhattan_spearman value: 86.27090062806225 - 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: 85.27814644680406 - type: cos_sim_spearman value: 86.13269619051003 - type: euclidean_pearson value: 86.43759619681596 - type: euclidean_spearman value: 85.35609983837541 - type: manhattan_pearson value: 86.56900966648851 - type: manhattan_spearman value: 85.53334508807559 - 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: 66.53522441640088 - type: cos_sim_spearman value: 66.98460545542223 - type: euclidean_pearson value: 68.14585405221024 - type: euclidean_spearman value: 66.50486820484109 - type: manhattan_pearson value: 68.07695653374543 - type: manhattan_spearman value: 66.60229880909495 - task: type: STS dataset: type: mteb/stsbenchmark-sts name: MTEB STSBenchmark config: default split: test revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 metrics: - type: cos_sim_pearson value: 83.36210258340701 - type: cos_sim_spearman value: 86.27961596583953 - type: euclidean_pearson value: 85.05824596275431 - type: euclidean_spearman value: 85.95626794662996 - type: manhattan_pearson value: 85.08493690885169 - type: manhattan_spearman value: 85.97991960000013 - task: type: Reranking dataset: type: mteb/scidocs-reranking name: MTEB SciDocsRR config: default split: test revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab metrics: - type: map value: 88.05926431433953 - type: mrr value: 96.53995786348727 - task: type: Retrieval dataset: type: scifact name: MTEB SciFact config: default split: test revision: None metrics: - type: map_at_1 value: 59.660999999999994 - type: map_at_10 value: 69.39999999999999 - type: map_at_100 value: 69.787 - type: map_at_1000 value: 69.82000000000001 - type: map_at_3 value: 66.43 - type: map_at_5 value: 67.989 - type: mrr_at_1 value: 63.0 - type: mrr_at_10 value: 70.509 - type: mrr_at_100 value: 70.792 - type: mrr_at_1000 value: 70.824 - type: mrr_at_3 value: 68.167 - type: mrr_at_5 value: 69.5 - type: ndcg_at_1 value: 63.0 - type: ndcg_at_10 value: 74.209 - type: ndcg_at_100 value: 75.74300000000001 - type: ndcg_at_1000 value: 76.423 - type: ndcg_at_3 value: 69.087 - type: ndcg_at_5 value: 71.42399999999999 - type: precision_at_1 value: 63.0 - type: precision_at_10 value: 9.966999999999999 - type: precision_at_100 value: 1.077 - type: precision_at_1000 value: 0.11299999999999999 - type: precision_at_3 value: 27.111 - type: precision_at_5 value: 17.8 - type: recall_at_1 value: 59.660999999999994 - type: recall_at_10 value: 87.922 - type: recall_at_100 value: 94.667 - type: recall_at_1000 value: 99.667 - type: recall_at_3 value: 73.906 - type: recall_at_5 value: 80.094 - task: type: PairClassification dataset: type: mteb/sprintduplicatequestions-pairclassification name: MTEB SprintDuplicateQuestions config: default split: test revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 metrics: - type: cos_sim_accuracy value: 99.87029702970297 - type: cos_sim_ap value: 96.78080271162648 - type: cos_sim_f1 value: 93.33333333333333 - type: cos_sim_precision value: 95.02590673575129 - type: cos_sim_recall value: 91.7 - type: dot_accuracy value: 99.6960396039604 - type: dot_ap value: 91.07533824017564 - type: dot_f1 value: 84.41432720232332 - type: dot_precision value: 81.80112570356472 - type: dot_recall value: 87.2 - type: euclidean_accuracy value: 99.87425742574257 - type: euclidean_ap value: 96.82184426825803 - type: euclidean_f1 value: 93.52371239163692 - type: euclidean_precision value: 95.42143600416233 - type: euclidean_recall value: 91.7 - type: manhattan_accuracy value: 99.87425742574257 - type: manhattan_ap value: 96.84824127992334 - type: manhattan_f1 value: 93.5500253936008 - type: manhattan_precision value: 95.04643962848297 - type: manhattan_recall value: 92.10000000000001 - type: max_accuracy value: 99.87425742574257 - type: max_ap value: 96.84824127992334 - type: max_f1 value: 93.5500253936008 - task: type: Clustering dataset: type: mteb/stackexchange-clustering name: MTEB StackExchangeClustering config: default split: test revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 metrics: - type: v_measure value: 66.80646711150717 - task: type: Clustering dataset: type: mteb/stackexchange-clustering-p2p name: MTEB StackExchangeClusteringP2P config: default split: test revision: 815ca46b2622cec33ccafc3735d572c266efdb44 metrics: - type: v_measure value: 35.28773452906587 - task: type: Reranking dataset: type: mteb/stackoverflowdupquestions-reranking name: MTEB StackOverflowDupQuestions config: default split: test revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 metrics: - type: map value: 55.28585488417727 - type: mrr value: 56.23835519056107 - task: type: Summarization dataset: type: mteb/summeval name: MTEB SummEval config: default split: test revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c metrics: - type: cos_sim_pearson value: 31.303110609843536 - type: cos_sim_spearman value: 32.121313527446944 - type: dot_pearson value: 28.14303657628762 - type: dot_spearman value: 27.80000491563264 - task: type: Retrieval dataset: type: trec-covid name: MTEB TRECCOVID config: default split: test revision: None metrics: - type: map_at_1 value: 0.243 - type: map_at_10 value: 2.099 - type: map_at_100 value: 10.894 - type: map_at_1000 value: 24.587999999999997 - type: map_at_3 value: 0.6910000000000001 - type: map_at_5 value: 1.1039999999999999 - type: mrr_at_1 value: 90.0 - type: mrr_at_10 value: 94.5 - type: mrr_at_100 value: 94.5 - type: mrr_at_1000 value: 94.5 - type: mrr_at_3 value: 94.0 - type: mrr_at_5 value: 94.5 - type: ndcg_at_1 value: 87.0 - type: ndcg_at_10 value: 80.265 - type: ndcg_at_100 value: 57.371 - type: ndcg_at_1000 value: 49.147999999999996 - type: ndcg_at_3 value: 83.296 - type: ndcg_at_5 value: 82.003 - type: precision_at_1 value: 90.0 - type: precision_at_10 value: 85.0 - type: precision_at_100 value: 58.36 - type: precision_at_1000 value: 21.352 - type: precision_at_3 value: 87.333 - type: precision_at_5 value: 86.8 - type: recall_at_1 value: 0.243 - type: recall_at_10 value: 2.262 - type: recall_at_100 value: 13.919 - type: recall_at_1000 value: 45.251999999999995 - type: recall_at_3 value: 0.711 - type: recall_at_5 value: 1.162 - task: type: Retrieval dataset: type: webis-touche2020 name: MTEB Touche2020 config: default split: test revision: None metrics: - type: map_at_1 value: 3.334 - type: map_at_10 value: 11.221 - type: map_at_100 value: 18.207 - type: map_at_1000 value: 19.588 - type: map_at_3 value: 6.085 - type: map_at_5 value: 8.773 - type: mrr_at_1 value: 42.857 - type: mrr_at_10 value: 55.175 - type: mrr_at_100 value: 56.133 - type: mrr_at_1000 value: 56.133 - type: mrr_at_3 value: 51.019999999999996 - type: mrr_at_5 value: 53.878 - type: ndcg_at_1 value: 39.796 - type: ndcg_at_10 value: 27.533 - type: ndcg_at_100 value: 39.823 - type: ndcg_at_1000 value: 50.412 - type: ndcg_at_3 value: 32.558 - type: ndcg_at_5 value: 31.863000000000003 - type: precision_at_1 value: 42.857 - type: precision_at_10 value: 23.673 - type: precision_at_100 value: 8.184 - type: precision_at_1000 value: 1.522 - type: precision_at_3 value: 32.653 - type: precision_at_5 value: 31.429000000000002 - type: recall_at_1 value: 3.334 - type: recall_at_10 value: 16.645 - type: recall_at_100 value: 49.876 - type: recall_at_1000 value: 82.512 - type: recall_at_3 value: 6.763 - type: recall_at_5 value: 11.461 - task: type: Classification dataset: type: mteb/toxic_conversations_50k name: MTEB ToxicConversationsClassification config: default split: test revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c metrics: - type: accuracy value: 72.1264 - type: ap value: 14.7287447276112 - type: f1 value: 55.46235112706406 - task: type: Classification dataset: type: mteb/tweet_sentiment_extraction name: MTEB TweetSentimentExtractionClassification config: default split: test revision: d604517c81ca91fe16a244d1248fc021f9ecee7a metrics: - type: accuracy value: 61.07809847198642 - type: f1 value: 61.377630233653036 - task: type: Clustering dataset: type: mteb/twentynewsgroups-clustering name: MTEB TwentyNewsgroupsClustering config: default split: test revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 metrics: - type: v_measure value: 54.10055371858293 - task: type: PairClassification dataset: type: mteb/twittersemeval2015-pairclassification name: MTEB TwitterSemEval2015 config: default split: test revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 metrics: - type: cos_sim_accuracy value: 87.35769207844072 - type: cos_sim_ap value: 78.4339038750439 - type: cos_sim_f1 value: 71.50245668476856 - type: cos_sim_precision value: 70.10649087221095 - type: cos_sim_recall value: 72.95514511873351 - type: dot_accuracy value: 82.8396018358467 - type: dot_ap value: 62.120847549876125 - type: dot_f1 value: 58.371350364963504 - type: dot_precision value: 51.40618722378465 - type: dot_recall value: 67.5197889182058 - type: euclidean_accuracy value: 87.52458723252072 - type: euclidean_ap value: 78.77453300254041 - type: euclidean_f1 value: 71.625 - type: euclidean_precision value: 68.05225653206651 - type: euclidean_recall value: 75.59366754617413 - type: manhattan_accuracy value: 87.536508314955 - type: manhattan_ap value: 78.75992501489914 - type: manhattan_f1 value: 71.6182364729459 - type: manhattan_precision value: 68.16881258941345 - type: manhattan_recall value: 75.4353562005277 - type: max_accuracy value: 87.536508314955 - type: max_ap value: 78.77453300254041 - type: max_f1 value: 71.625 - task: type: PairClassification dataset: type: mteb/twitterurlcorpus-pairclassification name: MTEB TwitterURLCorpus config: default split: test revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy value: 88.48721232584313 - type: cos_sim_ap value: 84.74350149247529 - type: cos_sim_f1 value: 76.55672345052554 - type: cos_sim_precision value: 72.32570880701273 - type: cos_sim_recall value: 81.3135201724669 - type: dot_accuracy value: 84.74599293670198 - type: dot_ap value: 75.44592372136103 - type: dot_f1 value: 69.34277843368751 - type: dot_precision value: 64.76642384548553 - type: dot_recall value: 74.61502925777641 - type: euclidean_accuracy value: 88.52020025614158 - type: euclidean_ap value: 85.01860042460612 - type: euclidean_f1 value: 76.97924816512052 - type: euclidean_precision value: 74.57590413628817 - type: euclidean_recall value: 79.54265475823837 - type: manhattan_accuracy value: 88.51049792370085 - type: manhattan_ap value: 85.03208810011937 - type: manhattan_f1 value: 77.0230840258541 - type: manhattan_precision value: 74.01859870802868 - type: manhattan_recall value: 80.28179858330768 - type: max_accuracy value: 88.52020025614158 - type: max_ap value: 85.03208810011937 - type: max_f1 value: 77.0230840258541 ---