--- tags: - mteb model-index: - name: mpnet_main results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 68.11940298507461 - type: ap value: 30.542146596139048 - type: f1 value: 61.92465989589396 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 62.503875 - type: ap value: 58.0577571607728 - type: f1 value: 62.34928241469865 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 31.66999999999999 - type: f1 value: 31.2458385101798 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 23.329 - type: map_at_10 value: 37.384 - type: map_at_100 value: 38.57 - type: map_at_1000 value: 38.586999999999996 - type: map_at_3 value: 32.492 - type: map_at_5 value: 35.376000000000005 - type: mrr_at_1 value: 23.755000000000003 - type: mrr_at_10 value: 37.547000000000004 - type: mrr_at_100 value: 38.733000000000004 - type: mrr_at_1000 value: 38.749 - type: mrr_at_3 value: 32.658 - type: mrr_at_5 value: 35.567 - type: ndcg_at_1 value: 23.329 - type: ndcg_at_10 value: 45.574999999999996 - type: ndcg_at_100 value: 50.953 - type: ndcg_at_1000 value: 51.354 - type: ndcg_at_3 value: 35.608000000000004 - type: ndcg_at_5 value: 40.784 - type: precision_at_1 value: 23.329 - type: precision_at_10 value: 7.183000000000001 - type: precision_at_100 value: 0.962 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 14.889 - type: precision_at_5 value: 11.437 - type: recall_at_1 value: 23.329 - type: recall_at_10 value: 71.83500000000001 - type: recall_at_100 value: 96.15899999999999 - type: recall_at_1000 value: 99.21799999999999 - type: recall_at_3 value: 44.666 - type: recall_at_5 value: 57.18299999999999 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 37.14558539727219 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 27.2291028039137 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 55.286820678107716 - type: mrr value: 69.43762916062084 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 81.32170750010246 - type: cos_sim_spearman value: 78.48130632209363 - type: euclidean_pearson value: 80.42696573048755 - type: euclidean_spearman value: 78.48130632209363 - type: manhattan_pearson value: 80.68662655318546 - type: manhattan_spearman value: 78.4475706136436 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 73.05194805194805 - type: f1 value: 72.31114319146532 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 33.842006272885655 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 25.238443830234058 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 22.647000000000002 - type: map_at_10 value: 29.842999999999996 - type: map_at_100 value: 31.131999999999998 - type: map_at_1000 value: 31.289 - type: map_at_3 value: 27.534999999999997 - type: map_at_5 value: 28.782999999999998 - type: mrr_at_1 value: 28.183000000000003 - type: mrr_at_10 value: 35.225 - type: mrr_at_100 value: 36.128 - type: mrr_at_1000 value: 36.198 - type: mrr_at_3 value: 33.19 - type: mrr_at_5 value: 34.363 - type: ndcg_at_1 value: 28.183000000000003 - type: ndcg_at_10 value: 34.644000000000005 - type: ndcg_at_100 value: 40.194 - type: ndcg_at_1000 value: 43.289 - type: ndcg_at_3 value: 31.259999999999998 - type: ndcg_at_5 value: 32.707 - type: precision_at_1 value: 28.183000000000003 - type: precision_at_10 value: 6.666999999999999 - type: precision_at_100 value: 1.187 - type: precision_at_1000 value: 0.185 - type: precision_at_3 value: 14.974000000000002 - type: precision_at_5 value: 10.844 - type: recall_at_1 value: 22.647000000000002 - type: recall_at_10 value: 42.792 - type: recall_at_100 value: 67.399 - type: recall_at_1000 value: 88.646 - type: recall_at_3 value: 32.535 - type: recall_at_5 value: 36.748999999999995 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 15.895000000000001 - type: map_at_10 value: 21.631 - type: map_at_100 value: 22.56 - type: map_at_1000 value: 22.689 - type: map_at_3 value: 19.799 - type: map_at_5 value: 20.824 - type: mrr_at_1 value: 20.191 - type: mrr_at_10 value: 25.674999999999997 - type: mrr_at_100 value: 26.482 - type: mrr_at_1000 value: 26.558 - type: mrr_at_3 value: 23.854 - type: mrr_at_5 value: 24.85 - type: ndcg_at_1 value: 20.191 - type: ndcg_at_10 value: 25.428 - type: ndcg_at_100 value: 29.799999999999997 - type: ndcg_at_1000 value: 32.927 - type: ndcg_at_3 value: 22.284000000000002 - type: ndcg_at_5 value: 23.699 - type: precision_at_1 value: 20.191 - type: precision_at_10 value: 4.7829999999999995 - type: precision_at_100 value: 0.876 - type: precision_at_1000 value: 0.14200000000000002 - type: precision_at_3 value: 10.743 - type: precision_at_5 value: 7.720000000000001 - type: recall_at_1 value: 15.895000000000001 - type: recall_at_10 value: 32.789 - type: recall_at_100 value: 52.156000000000006 - type: recall_at_1000 value: 73.804 - type: recall_at_3 value: 23.589 - type: recall_at_5 value: 27.486 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 25.465 - type: map_at_10 value: 33.93 - type: map_at_100 value: 35.07 - type: map_at_1000 value: 35.165 - type: map_at_3 value: 31.091 - type: map_at_5 value: 32.722 - type: mrr_at_1 value: 29.654999999999998 - type: mrr_at_10 value: 37.156 - type: mrr_at_100 value: 38.074000000000005 - type: mrr_at_1000 value: 38.132 - type: mrr_at_3 value: 34.608 - type: mrr_at_5 value: 36.077999999999996 - type: ndcg_at_1 value: 29.654999999999998 - type: ndcg_at_10 value: 38.872 - type: ndcg_at_100 value: 44.293 - type: ndcg_at_1000 value: 46.455999999999996 - type: ndcg_at_3 value: 33.661 - type: ndcg_at_5 value: 36.237 - type: precision_at_1 value: 29.654999999999998 - type: precision_at_10 value: 6.464 - type: precision_at_100 value: 1.012 - type: precision_at_1000 value: 0.127 - type: precision_at_3 value: 14.943000000000001 - type: precision_at_5 value: 10.696 - type: recall_at_1 value: 25.465 - type: recall_at_10 value: 50.8 - type: recall_at_100 value: 75.373 - type: recall_at_1000 value: 91.053 - type: recall_at_3 value: 36.808 - type: recall_at_5 value: 43.069 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 12.853 - type: map_at_10 value: 18.047 - type: map_at_100 value: 18.9 - type: map_at_1000 value: 19.017999999999997 - type: map_at_3 value: 16.325 - type: map_at_5 value: 17.281 - type: mrr_at_1 value: 14.124 - type: mrr_at_10 value: 19.344 - type: mrr_at_100 value: 20.194000000000003 - type: mrr_at_1000 value: 20.298 - type: mrr_at_3 value: 17.589 - type: mrr_at_5 value: 18.601 - type: ndcg_at_1 value: 14.124 - type: ndcg_at_10 value: 21.188000000000002 - type: ndcg_at_100 value: 25.856 - type: ndcg_at_1000 value: 29.275000000000002 - type: ndcg_at_3 value: 17.726 - type: ndcg_at_5 value: 19.397000000000002 - type: precision_at_1 value: 14.124 - type: precision_at_10 value: 3.379 - type: precision_at_100 value: 0.61 - type: precision_at_1000 value: 0.095 - type: precision_at_3 value: 7.608 - type: precision_at_5 value: 5.537 - type: recall_at_1 value: 12.853 - type: recall_at_10 value: 29.731999999999996 - type: recall_at_100 value: 51.99399999999999 - type: recall_at_1000 value: 78.581 - type: recall_at_3 value: 20.339 - type: recall_at_5 value: 24.304000000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 6.736000000000001 - type: map_at_10 value: 10.587 - type: map_at_100 value: 11.515 - type: map_at_1000 value: 11.633000000000001 - type: map_at_3 value: 9.24 - type: map_at_5 value: 9.856 - type: mrr_at_1 value: 8.955 - type: mrr_at_10 value: 13.383999999999999 - type: mrr_at_100 value: 14.297 - type: mrr_at_1000 value: 14.391000000000002 - type: mrr_at_3 value: 11.92 - type: mrr_at_5 value: 12.584999999999999 - type: ndcg_at_1 value: 8.955 - type: ndcg_at_10 value: 13.498 - type: ndcg_at_100 value: 18.684 - type: ndcg_at_1000 value: 22.105 - type: ndcg_at_3 value: 10.881 - type: ndcg_at_5 value: 11.824 - type: precision_at_1 value: 8.955 - type: precision_at_10 value: 2.662 - type: precision_at_100 value: 0.633 - type: precision_at_1000 value: 0.106 - type: precision_at_3 value: 5.473 - type: precision_at_5 value: 3.9800000000000004 - type: recall_at_1 value: 6.736000000000001 - type: recall_at_10 value: 19.945 - type: recall_at_100 value: 43.807 - type: recall_at_1000 value: 69.215 - type: recall_at_3 value: 12.458 - type: recall_at_5 value: 14.878 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 19.169 - type: map_at_10 value: 25.34 - type: map_at_100 value: 26.509 - type: map_at_1000 value: 26.663999999999998 - type: map_at_3 value: 22.964000000000002 - type: map_at_5 value: 24.229 - type: mrr_at_1 value: 23.483999999999998 - type: mrr_at_10 value: 29.872 - type: mrr_at_100 value: 30.775999999999996 - type: mrr_at_1000 value: 30.858 - type: mrr_at_3 value: 27.43 - type: mrr_at_5 value: 28.782000000000004 - type: ndcg_at_1 value: 23.483999999999998 - type: ndcg_at_10 value: 29.859 - type: ndcg_at_100 value: 35.498000000000005 - type: ndcg_at_1000 value: 38.875 - type: ndcg_at_3 value: 25.635 - type: ndcg_at_5 value: 27.522000000000002 - type: precision_at_1 value: 23.483999999999998 - type: precision_at_10 value: 5.573 - type: precision_at_100 value: 1.002 - type: precision_at_1000 value: 0.15 - type: precision_at_3 value: 11.902 - type: precision_at_5 value: 8.72 - type: recall_at_1 value: 19.169 - type: recall_at_10 value: 38.991 - type: recall_at_100 value: 64.13600000000001 - type: recall_at_1000 value: 87.45 - type: recall_at_3 value: 27.053 - type: recall_at_5 value: 31.996999999999996 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 13.791999999999998 - type: map_at_10 value: 19.362 - type: map_at_100 value: 20.51 - type: map_at_1000 value: 20.663999999999998 - type: map_at_3 value: 17.408 - type: map_at_5 value: 18.373 - type: mrr_at_1 value: 17.122999999999998 - type: mrr_at_10 value: 22.939 - type: mrr_at_100 value: 23.913999999999998 - type: mrr_at_1000 value: 24.016000000000002 - type: mrr_at_3 value: 20.871000000000002 - type: mrr_at_5 value: 22.019 - type: ndcg_at_1 value: 17.122999999999998 - type: ndcg_at_10 value: 23.219 - type: ndcg_at_100 value: 28.610999999999997 - type: ndcg_at_1000 value: 32.361000000000004 - type: ndcg_at_3 value: 19.657 - type: ndcg_at_5 value: 21.153 - type: precision_at_1 value: 17.122999999999998 - type: precision_at_10 value: 4.3950000000000005 - type: precision_at_100 value: 0.852 - type: precision_at_1000 value: 0.136 - type: precision_at_3 value: 9.399000000000001 - type: precision_at_5 value: 6.963 - type: recall_at_1 value: 13.791999999999998 - type: recall_at_10 value: 31.407 - type: recall_at_100 value: 54.69199999999999 - type: recall_at_1000 value: 81.281 - type: recall_at_3 value: 21.253 - type: recall_at_5 value: 25.22 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 14.433916666666665 - type: map_at_10 value: 19.892166666666668 - type: map_at_100 value: 20.87308333333333 - type: map_at_1000 value: 21.008416666666665 - type: map_at_3 value: 18.058666666666667 - type: map_at_5 value: 19.015583333333336 - type: mrr_at_1 value: 17.51 - type: mrr_at_10 value: 23.03275 - type: mrr_at_100 value: 23.89025 - type: mrr_at_1000 value: 23.980333333333334 - type: mrr_at_3 value: 21.20616666666667 - type: mrr_at_5 value: 22.195833333333333 - type: ndcg_at_1 value: 17.51 - type: ndcg_at_10 value: 23.55825 - type: ndcg_at_100 value: 28.414249999999996 - type: ndcg_at_1000 value: 31.749083333333328 - type: ndcg_at_3 value: 20.22475 - type: ndcg_at_5 value: 21.668916666666664 - type: precision_at_1 value: 17.51 - type: precision_at_10 value: 4.271333333333334 - type: precision_at_100 value: 0.8016666666666666 - type: precision_at_1000 value: 0.12825 - type: precision_at_3 value: 9.423833333333336 - type: precision_at_5 value: 6.818833333333334 - type: recall_at_1 value: 14.433916666666665 - type: recall_at_10 value: 31.521166666666662 - type: recall_at_100 value: 53.71125 - type: recall_at_1000 value: 77.92325000000001 - type: recall_at_3 value: 22.02575 - type: recall_at_5 value: 25.789916666666663 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 11.074 - type: map_at_10 value: 15.728 - type: map_at_100 value: 16.442999999999998 - type: map_at_1000 value: 16.536 - type: map_at_3 value: 14.082 - type: map_at_5 value: 14.808 - type: mrr_at_1 value: 12.883 - type: mrr_at_10 value: 17.687 - type: mrr_at_100 value: 18.436 - type: mrr_at_1000 value: 18.515 - type: mrr_at_3 value: 16.181 - type: mrr_at_5 value: 16.84 - type: ndcg_at_1 value: 12.883 - type: ndcg_at_10 value: 18.778 - type: ndcg_at_100 value: 22.817999999999998 - type: ndcg_at_1000 value: 25.657999999999998 - type: ndcg_at_3 value: 15.606 - type: ndcg_at_5 value: 16.727 - type: precision_at_1 value: 12.883 - type: precision_at_10 value: 3.2520000000000002 - type: precision_at_100 value: 0.5780000000000001 - type: precision_at_1000 value: 0.089 - type: precision_at_3 value: 7.156999999999999 - type: precision_at_5 value: 5.061 - type: recall_at_1 value: 11.074 - type: recall_at_10 value: 26.479999999999997 - type: recall_at_100 value: 45.61 - type: recall_at_1000 value: 67.586 - type: recall_at_3 value: 17.377000000000002 - type: recall_at_5 value: 20.238 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 7.303999999999999 - type: map_at_10 value: 10.779 - type: map_at_100 value: 11.484 - type: map_at_1000 value: 11.616 - type: map_at_3 value: 9.62 - type: map_at_5 value: 10.263 - type: mrr_at_1 value: 9.394 - type: mrr_at_10 value: 13.22 - type: mrr_at_100 value: 13.924 - type: mrr_at_1000 value: 14.032 - type: mrr_at_3 value: 11.912 - type: mrr_at_5 value: 12.671 - type: ndcg_at_1 value: 9.394 - type: ndcg_at_10 value: 13.276 - type: ndcg_at_100 value: 17.118 - type: ndcg_at_1000 value: 20.878 - type: ndcg_at_3 value: 11.084 - type: ndcg_at_5 value: 12.113999999999999 - type: precision_at_1 value: 9.394 - type: precision_at_10 value: 2.533 - type: precision_at_100 value: 0.538 - type: precision_at_1000 value: 0.10300000000000001 - type: precision_at_3 value: 5.391 - type: precision_at_5 value: 4.0329999999999995 - type: recall_at_1 value: 7.303999999999999 - type: recall_at_10 value: 18.523999999999997 - type: recall_at_100 value: 36.452 - type: recall_at_1000 value: 64.38199999999999 - type: recall_at_3 value: 12.366000000000001 - type: recall_at_5 value: 14.994 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 12.963 - type: map_at_10 value: 17.46 - type: map_at_100 value: 18.297 - type: map_at_1000 value: 18.428 - type: map_at_3 value: 15.709999999999999 - type: map_at_5 value: 16.551 - type: mrr_at_1 value: 15.485 - type: mrr_at_10 value: 20.501 - type: mrr_at_100 value: 21.278 - type: mrr_at_1000 value: 21.379 - type: mrr_at_3 value: 18.548000000000002 - type: mrr_at_5 value: 19.537 - type: ndcg_at_1 value: 15.485 - type: ndcg_at_10 value: 20.994 - type: ndcg_at_100 value: 25.506 - type: ndcg_at_1000 value: 29.022 - type: ndcg_at_3 value: 17.410999999999998 - type: ndcg_at_5 value: 18.808 - type: precision_at_1 value: 15.485 - type: precision_at_10 value: 3.666 - type: precision_at_100 value: 0.662 - type: precision_at_1000 value: 0.109 - type: precision_at_3 value: 7.898 - type: precision_at_5 value: 5.672 - type: recall_at_1 value: 12.963 - type: recall_at_10 value: 29.201 - type: recall_at_100 value: 50.109 - type: recall_at_1000 value: 75.797 - type: recall_at_3 value: 18.989 - type: recall_at_5 value: 22.601 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 15.260000000000002 - type: map_at_10 value: 21.165 - type: map_at_100 value: 22.400000000000002 - type: map_at_1000 value: 22.612 - type: map_at_3 value: 19.427 - type: map_at_5 value: 20.312 - type: mrr_at_1 value: 19.368 - type: mrr_at_10 value: 25.148 - type: mrr_at_100 value: 26.143 - type: mrr_at_1000 value: 26.235000000000003 - type: mrr_at_3 value: 23.584 - type: mrr_at_5 value: 24.433 - type: ndcg_at_1 value: 19.368 - type: ndcg_at_10 value: 25.239 - type: ndcg_at_100 value: 30.509999999999998 - type: ndcg_at_1000 value: 34.326 - type: ndcg_at_3 value: 22.57 - type: ndcg_at_5 value: 23.668 - type: precision_at_1 value: 19.368 - type: precision_at_10 value: 4.9799999999999995 - type: precision_at_100 value: 1.117 - type: precision_at_1000 value: 0.201 - type: precision_at_3 value: 11.067 - type: precision_at_5 value: 7.904999999999999 - type: recall_at_1 value: 15.260000000000002 - type: recall_at_10 value: 32.368 - type: recall_at_100 value: 56.908 - type: recall_at_1000 value: 82.708 - type: recall_at_3 value: 23.816000000000003 - type: recall_at_5 value: 27.191 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 10.049 - type: map_at_10 value: 14.834 - type: map_at_100 value: 15.656999999999998 - type: map_at_1000 value: 15.787 - type: map_at_3 value: 13.503000000000002 - type: map_at_5 value: 14.185 - type: mrr_at_1 value: 11.275 - type: mrr_at_10 value: 16.242 - type: mrr_at_100 value: 17.037 - type: mrr_at_1000 value: 17.152 - type: mrr_at_3 value: 14.787 - type: mrr_at_5 value: 15.591 - type: ndcg_at_1 value: 11.275 - type: ndcg_at_10 value: 17.704 - type: ndcg_at_100 value: 22.083 - type: ndcg_at_1000 value: 25.817 - type: ndcg_at_3 value: 14.921999999999999 - type: ndcg_at_5 value: 16.171 - type: precision_at_1 value: 11.275 - type: precision_at_10 value: 2.902 - type: precision_at_100 value: 0.553 - type: precision_at_1000 value: 0.096 - type: precision_at_3 value: 6.531000000000001 - type: precision_at_5 value: 4.695 - type: recall_at_1 value: 10.049 - type: recall_at_10 value: 25.224999999999998 - type: recall_at_100 value: 45.899 - type: recall_at_1000 value: 74.576 - type: recall_at_3 value: 17.726 - type: recall_at_5 value: 20.752000000000002 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 6.762 - type: map_at_10 value: 12.867 - type: map_at_100 value: 14.478 - type: map_at_1000 value: 14.696000000000002 - type: map_at_3 value: 10.437000000000001 - type: map_at_5 value: 11.689 - type: mrr_at_1 value: 15.309000000000001 - type: mrr_at_10 value: 25.839000000000002 - type: mrr_at_100 value: 26.994 - type: mrr_at_1000 value: 27.056 - type: mrr_at_3 value: 22.400000000000002 - type: mrr_at_5 value: 24.451999999999998 - type: ndcg_at_1 value: 15.309000000000001 - type: ndcg_at_10 value: 19.384999999999998 - type: ndcg_at_100 value: 26.517000000000003 - type: ndcg_at_1000 value: 30.676 - type: ndcg_at_3 value: 14.876000000000001 - type: ndcg_at_5 value: 16.611 - type: precision_at_1 value: 15.309000000000001 - type: precision_at_10 value: 6.489000000000001 - type: precision_at_100 value: 1.409 - type: precision_at_1000 value: 0.217 - type: precision_at_3 value: 11.530999999999999 - type: precision_at_5 value: 9.381 - type: recall_at_1 value: 6.762 - type: recall_at_10 value: 24.996 - type: recall_at_100 value: 50.202999999999996 - type: recall_at_1000 value: 73.87899999999999 - type: recall_at_3 value: 14.149000000000001 - type: recall_at_5 value: 18.648 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 3.846 - type: map_at_10 value: 9.048 - type: map_at_100 value: 12.656 - type: map_at_1000 value: 13.605999999999998 - type: map_at_3 value: 6.293 - type: map_at_5 value: 7.5920000000000005 - type: mrr_at_1 value: 41.5 - type: mrr_at_10 value: 51.08200000000001 - type: mrr_at_100 value: 51.82299999999999 - type: mrr_at_1000 value: 51.856 - type: mrr_at_3 value: 48.5 - type: mrr_at_5 value: 49.836999999999996 - type: ndcg_at_1 value: 30.375000000000004 - type: ndcg_at_10 value: 23.343 - type: ndcg_at_100 value: 26.261000000000003 - type: ndcg_at_1000 value: 33.053 - type: ndcg_at_3 value: 25.814999999999998 - type: ndcg_at_5 value: 24.583 - type: precision_at_1 value: 41.5 - type: precision_at_10 value: 20.849999999999998 - type: precision_at_100 value: 6.635000000000001 - type: precision_at_1000 value: 1.438 - type: precision_at_3 value: 30.833 - type: precision_at_5 value: 26.85 - type: recall_at_1 value: 3.846 - type: recall_at_10 value: 13.83 - type: recall_at_100 value: 32.757999999999996 - type: recall_at_1000 value: 56.25 - type: recall_at_3 value: 7.574 - type: recall_at_5 value: 10.071 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 46.62 - type: f1 value: 42.79767018915584 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 15.677 - type: map_at_10 value: 23.551 - type: map_at_100 value: 24.442 - type: map_at_1000 value: 24.514 - type: map_at_3 value: 21.192 - type: map_at_5 value: 22.499 - type: mrr_at_1 value: 16.742 - type: mrr_at_10 value: 25.019000000000002 - type: mrr_at_100 value: 25.894000000000002 - type: mrr_at_1000 value: 25.958 - type: mrr_at_3 value: 22.555 - type: mrr_at_5 value: 23.909 - type: ndcg_at_1 value: 16.742 - type: ndcg_at_10 value: 28.247 - type: ndcg_at_100 value: 32.797 - type: ndcg_at_1000 value: 34.809 - type: ndcg_at_3 value: 23.358999999999998 - type: ndcg_at_5 value: 25.705 - type: precision_at_1 value: 16.742 - type: precision_at_10 value: 4.532 - type: precision_at_100 value: 0.701 - type: precision_at_1000 value: 0.089 - type: precision_at_3 value: 10.145999999999999 - type: precision_at_5 value: 7.342 - type: recall_at_1 value: 15.677 - type: recall_at_10 value: 41.571000000000005 - type: recall_at_100 value: 62.834999999999994 - type: recall_at_1000 value: 78.387 - type: recall_at_3 value: 28.214 - type: recall_at_5 value: 33.891 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 7.5520000000000005 - type: map_at_10 value: 12.378 - type: map_at_100 value: 13.572999999999999 - type: map_at_1000 value: 13.79 - type: map_at_3 value: 10.737 - type: map_at_5 value: 11.629000000000001 - type: mrr_at_1 value: 15.123000000000001 - type: mrr_at_10 value: 21.001 - type: mrr_at_100 value: 22.112000000000002 - type: mrr_at_1000 value: 22.21 - type: mrr_at_3 value: 19.264 - type: mrr_at_5 value: 20.166999999999998 - type: ndcg_at_1 value: 15.123000000000001 - type: ndcg_at_10 value: 16.699 - type: ndcg_at_100 value: 22.688 - type: ndcg_at_1000 value: 27.394000000000002 - type: ndcg_at_3 value: 14.516000000000002 - type: ndcg_at_5 value: 15.336 - type: precision_at_1 value: 15.123000000000001 - type: precision_at_10 value: 4.7219999999999995 - type: precision_at_100 value: 1.065 - type: precision_at_1000 value: 0.188 - type: precision_at_3 value: 9.825000000000001 - type: precision_at_5 value: 7.284 - type: recall_at_1 value: 7.5520000000000005 - type: recall_at_10 value: 20.887 - type: recall_at_100 value: 44.613 - type: recall_at_1000 value: 73.55699999999999 - type: recall_at_3 value: 13.715 - type: recall_at_5 value: 16.75 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 15.314 - type: map_at_10 value: 21.73 - type: map_at_100 value: 22.595000000000002 - type: map_at_1000 value: 22.7 - type: map_at_3 value: 19.914 - type: map_at_5 value: 20.891000000000002 - type: mrr_at_1 value: 30.628 - type: mrr_at_10 value: 37.302 - type: mrr_at_100 value: 38.04 - type: mrr_at_1000 value: 38.102999999999994 - type: mrr_at_3 value: 35.445 - type: mrr_at_5 value: 36.464999999999996 - type: ndcg_at_1 value: 30.628 - type: ndcg_at_10 value: 27.986 - type: ndcg_at_100 value: 32.103 - type: ndcg_at_1000 value: 34.739 - type: ndcg_at_3 value: 24.48 - type: ndcg_at_5 value: 26.125 - type: precision_at_1 value: 30.628 - type: precision_at_10 value: 6.243 - type: precision_at_100 value: 0.955 - type: precision_at_1000 value: 0.131 - type: precision_at_3 value: 15.517 - type: precision_at_5 value: 10.613999999999999 - type: recall_at_1 value: 15.314 - type: recall_at_10 value: 31.215 - type: recall_at_100 value: 47.752 - type: recall_at_1000 value: 65.422 - type: recall_at_3 value: 23.275000000000002 - type: recall_at_5 value: 26.535999999999998 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 61.661200000000015 - type: ap value: 57.26137842361126 - type: f1 value: 61.44069729315865 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 6.308999999999999 - type: map_at_10 value: 11.003 - type: map_at_100 value: 11.865 - type: map_at_1000 value: 11.974 - type: map_at_3 value: 9.309000000000001 - type: map_at_5 value: 10.145999999999999 - type: mrr_at_1 value: 6.5329999999999995 - type: mrr_at_10 value: 11.296000000000001 - type: mrr_at_100 value: 12.168 - type: mrr_at_1000 value: 12.273 - type: mrr_at_3 value: 9.582 - type: mrr_at_5 value: 10.42 - type: ndcg_at_1 value: 6.519 - type: ndcg_at_10 value: 13.998 - type: ndcg_at_100 value: 18.701 - type: ndcg_at_1000 value: 21.944 - type: ndcg_at_3 value: 10.383000000000001 - type: ndcg_at_5 value: 11.898 - type: precision_at_1 value: 6.519 - type: precision_at_10 value: 2.4330000000000003 - type: precision_at_100 value: 0.486 - type: precision_at_1000 value: 0.077 - type: precision_at_3 value: 4.585 - type: precision_at_5 value: 3.5130000000000003 - type: recall_at_1 value: 6.308999999999999 - type: recall_at_10 value: 23.381 - type: recall_at_100 value: 46.25 - type: recall_at_1000 value: 72.261 - type: recall_at_3 value: 13.239 - type: recall_at_5 value: 16.902 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 87.84313725490198 - type: f1 value: 87.24204022782286 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 56.409028727770185 - type: f1 value: 38.57449573016968 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 62.010759919300604 - type: f1 value: 60.290520300650584 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 70.65232010759918 - type: f1 value: 69.36104886302014 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 30.364401278066065 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 28.00495863318603 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 30.917670435424853 - type: mrr value: 31.929615376181395 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 4.279 - type: map_at_10 value: 8.491999999999999 - type: map_at_100 value: 10.969 - type: map_at_1000 value: 12.396 - type: map_at_3 value: 6.254999999999999 - type: map_at_5 value: 7.417 - type: mrr_at_1 value: 34.056 - type: mrr_at_10 value: 43.877 - type: mrr_at_100 value: 44.590999999999994 - type: mrr_at_1000 value: 44.651 - type: mrr_at_3 value: 41.382999999999996 - type: mrr_at_5 value: 42.838 - type: ndcg_at_1 value: 32.198 - type: ndcg_at_10 value: 25.971 - type: ndcg_at_100 value: 25.112000000000002 - type: ndcg_at_1000 value: 34.83 - type: ndcg_at_3 value: 29.018 - type: ndcg_at_5 value: 28.447 - type: precision_at_1 value: 34.056 - type: precision_at_10 value: 19.412 - type: precision_at_100 value: 7.053 - type: precision_at_1000 value: 2.061 - type: precision_at_3 value: 27.761000000000003 - type: precision_at_5 value: 25.076999999999998 - type: recall_at_1 value: 4.279 - type: recall_at_10 value: 12.917000000000002 - type: recall_at_100 value: 27.386 - type: recall_at_1000 value: 62.90599999999999 - type: recall_at_3 value: 7.234999999999999 - type: recall_at_5 value: 9.866 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 8.427 - type: map_at_10 value: 14.471 - type: map_at_100 value: 15.704 - type: map_at_1000 value: 15.809000000000001 - type: map_at_3 value: 12.059000000000001 - type: map_at_5 value: 13.288 - type: mrr_at_1 value: 9.647 - type: mrr_at_10 value: 16.064999999999998 - type: mrr_at_100 value: 17.212 - type: mrr_at_1000 value: 17.297 - type: mrr_at_3 value: 13.562 - type: mrr_at_5 value: 14.843 - type: ndcg_at_1 value: 9.647 - type: ndcg_at_10 value: 18.613 - type: ndcg_at_100 value: 24.834999999999997 - type: ndcg_at_1000 value: 27.716 - type: ndcg_at_3 value: 13.605 - type: ndcg_at_5 value: 15.797 - type: precision_at_1 value: 9.647 - type: precision_at_10 value: 3.531 - type: precision_at_100 value: 0.7060000000000001 - type: precision_at_1000 value: 0.098 - type: precision_at_3 value: 6.431000000000001 - type: precision_at_5 value: 5.093 - type: recall_at_1 value: 8.427 - type: recall_at_10 value: 29.995 - type: recall_at_100 value: 58.760999999999996 - type: recall_at_1000 value: 81.033 - type: recall_at_3 value: 16.621 - type: recall_at_5 value: 21.69 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 63.709 - type: map_at_10 value: 76.66 - type: map_at_100 value: 77.444 - type: map_at_1000 value: 77.474 - type: map_at_3 value: 73.639 - type: map_at_5 value: 75.495 - type: mrr_at_1 value: 73.42 - type: mrr_at_10 value: 80.643 - type: mrr_at_100 value: 80.886 - type: mrr_at_1000 value: 80.891 - type: mrr_at_3 value: 79.163 - type: mrr_at_5 value: 80.132 - type: ndcg_at_1 value: 73.44000000000001 - type: ndcg_at_10 value: 81.26100000000001 - type: ndcg_at_100 value: 83.34 - type: ndcg_at_1000 value: 83.65599999999999 - type: ndcg_at_3 value: 77.593 - type: ndcg_at_5 value: 79.552 - type: precision_at_1 value: 73.44000000000001 - type: precision_at_10 value: 12.356 - type: precision_at_100 value: 1.472 - type: precision_at_1000 value: 0.155 - type: precision_at_3 value: 33.733000000000004 - type: precision_at_5 value: 22.398 - type: recall_at_1 value: 63.709 - type: recall_at_10 value: 90.24 - type: recall_at_100 value: 97.992 - type: recall_at_1000 value: 99.725 - type: recall_at_3 value: 79.843 - type: recall_at_5 value: 85.199 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 42.214155529412366 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 48.10171269080449 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 3.098 - type: map_at_10 value: 7.359999999999999 - type: map_at_100 value: 8.888 - type: map_at_1000 value: 9.158 - type: map_at_3 value: 5.406 - type: map_at_5 value: 6.308999999999999 - type: mrr_at_1 value: 15.2 - type: mrr_at_10 value: 23.508000000000003 - type: mrr_at_100 value: 24.709 - type: mrr_at_1000 value: 24.787 - type: mrr_at_3 value: 20.383000000000003 - type: mrr_at_5 value: 22.103 - type: ndcg_at_1 value: 15.2 - type: ndcg_at_10 value: 13.174 - type: ndcg_at_100 value: 19.885 - type: ndcg_at_1000 value: 25.247999999999998 - type: ndcg_at_3 value: 12.242 - type: ndcg_at_5 value: 10.702 - type: precision_at_1 value: 15.2 - type: precision_at_10 value: 6.93 - type: precision_at_100 value: 1.6709999999999998 - type: precision_at_1000 value: 0.296 - type: precision_at_3 value: 11.4 - type: precision_at_5 value: 9.379999999999999 - type: recall_at_1 value: 3.098 - type: recall_at_10 value: 14.048 - type: recall_at_100 value: 33.902 - type: recall_at_1000 value: 60.17 - type: recall_at_3 value: 6.9430000000000005 - type: recall_at_5 value: 9.498 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 76.69196724733715 - type: cos_sim_spearman value: 65.00669029968084 - type: euclidean_pearson value: 71.35623218354901 - type: euclidean_spearman value: 65.00662504036774 - type: manhattan_pearson value: 69.46286814034032 - type: manhattan_spearman value: 64.05091703970768 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 75.45675254280496 - type: cos_sim_spearman value: 67.48465522195806 - type: euclidean_pearson value: 71.932572180082 - type: euclidean_spearman value: 67.48597260989263 - type: manhattan_pearson value: 70.01381315407934 - type: manhattan_spearman value: 66.83129276722313 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 75.56784955823615 - type: cos_sim_spearman value: 77.1656947836492 - type: euclidean_pearson value: 76.86159714478943 - type: euclidean_spearman value: 77.16570697849755 - type: manhattan_pearson value: 77.05983226779968 - type: manhattan_spearman value: 77.43229771628044 - task: type: STS dataset: type: None name: MTEB STS14 config: default split: test revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 metrics: - type: cos_sim_pearson value: 77.28801641888653 - type: cos_sim_spearman value: 72.72947194978411 - type: euclidean_pearson value: 76.2115552769551 - type: euclidean_spearman value: 72.72946226092458 - type: manhattan_pearson value: 75.19019262864614 - type: manhattan_spearman value: 72.18378967267259 - task: type: STS dataset: type: None name: MTEB STS15 config: default split: test revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 metrics: - type: cos_sim_pearson value: 79.73471725204746 - type: cos_sim_spearman value: 80.79015625826382 - type: euclidean_pearson value: 80.81110611872813 - type: euclidean_spearman value: 80.79016252191039 - type: manhattan_pearson value: 79.93979968573043 - type: manhattan_spearman value: 80.07556394648903 - task: type: STS dataset: type: None name: MTEB STS16 config: default split: test revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 metrics: - type: cos_sim_pearson value: 74.47923638473124 - type: cos_sim_spearman value: 75.71286196807024 - type: euclidean_pearson value: 75.83804880943377 - type: euclidean_spearman value: 75.71341236422742 - type: manhattan_pearson value: 75.93646913049322 - type: manhattan_spearman value: 75.85181752457555 - task: type: STS dataset: type: None name: MTEB STS17 (en-en) config: en-en split: test revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d metrics: - type: cos_sim_pearson value: 82.62219071209913 - type: cos_sim_spearman value: 83.44167690000958 - type: euclidean_pearson value: 83.28214784087085 - type: euclidean_spearman value: 83.44255138870209 - type: manhattan_pearson value: 82.77261607066816 - type: manhattan_spearman value: 83.06899474864443 - task: type: STS dataset: type: None name: MTEB STS22 (en) config: en split: test revision: eea2b4fe26a775864c896887d910b76a8098ad3f metrics: - type: cos_sim_pearson value: 64.70345108985259 - type: cos_sim_spearman value: 62.482753044620786 - type: euclidean_pearson value: 64.79437494489187 - type: euclidean_spearman value: 62.482753044620786 - type: manhattan_pearson value: 63.71939825347573 - type: manhattan_spearman value: 61.174953862000336 - task: type: STS dataset: type: None name: MTEB STSBenchmark config: default split: test revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 metrics: - type: cos_sim_pearson value: 76.07865440954043 - type: cos_sim_spearman value: 74.54667758834077 - type: euclidean_pearson value: 76.48558570428264 - type: euclidean_spearman value: 74.54672598094477 - type: manhattan_pearson value: 76.06256712227383 - type: manhattan_spearman value: 74.42758128821515 - task: type: Reranking dataset: type: None name: MTEB SciDocsRR config: default split: test revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab metrics: - type: map value: 75.15143418949978 - type: mrr value: 91.98409705762647 - task: type: Retrieval dataset: type: None name: MTEB SciFact config: default split: test revision: 0228b52cf27578f30900b9e5271d331663a030d7 metrics: - type: map_at_1 value: 33.417 - type: map_at_10 value: 42.594 - type: map_at_100 value: 43.535000000000004 - type: map_at_1000 value: 43.6 - type: map_at_3 value: 39.759 - type: map_at_5 value: 41.506 - type: mrr_at_1 value: 35.667 - type: mrr_at_10 value: 44.446000000000005 - type: mrr_at_100 value: 45.244 - type: mrr_at_1000 value: 45.300000000000004 - type: mrr_at_3 value: 42.167 - type: mrr_at_5 value: 43.5 - type: ndcg_at_1 value: 35.667 - type: ndcg_at_10 value: 47.591 - type: ndcg_at_100 value: 52.611 - type: ndcg_at_1000 value: 54.31 - type: ndcg_at_3 value: 42.356 - type: ndcg_at_5 value: 45.194 - type: precision_at_1 value: 35.667 - type: precision_at_10 value: 6.7669999999999995 - type: precision_at_100 value: 0.967 - type: precision_at_1000 value: 0.11100000000000002 - type: precision_at_3 value: 16.889000000000003 - type: precision_at_5 value: 11.799999999999999 - type: recall_at_1 value: 33.417 - type: recall_at_10 value: 61.260999999999996 - type: recall_at_100 value: 85.556 - type: recall_at_1000 value: 98.867 - type: recall_at_3 value: 47.528 - type: recall_at_5 value: 54.388999999999996 - task: type: PairClassification dataset: type: None name: MTEB SprintDuplicateQuestions config: default split: test revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 metrics: - type: cos_sim_accuracy value: 99.73267326732673 - type: cos_sim_ap value: 92.36951341438333 - type: cos_sim_f1 value: 86.04073522106309 - type: cos_sim_precision value: 85.48864758144127 - type: cos_sim_recall value: 86.6 - type: dot_accuracy value: 99.73267326732673 - type: dot_ap value: 92.36951341438333 - type: dot_f1 value: 86.04073522106309 - type: dot_precision value: 85.48864758144127 - type: dot_recall value: 86.6 - type: euclidean_accuracy value: 99.73267326732673 - type: euclidean_ap value: 92.36951341438333 - type: euclidean_f1 value: 86.04073522106309 - type: euclidean_precision value: 85.48864758144127 - type: euclidean_recall value: 86.6 - type: manhattan_accuracy value: 99.74455445544554 - type: manhattan_ap value: 92.96894184904977 - type: manhattan_f1 value: 86.8917576961271 - type: manhattan_precision value: 86.29191321499013 - type: manhattan_recall value: 87.5 - type: max_accuracy value: 99.74455445544554 - type: max_ap value: 92.96894184904977 - type: max_f1 value: 86.8917576961271 - task: type: Clustering dataset: type: None name: MTEB StackExchangeClustering config: default split: test revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 metrics: - type: v_measure value: 45.349940718460374 - task: type: Clustering dataset: type: None name: MTEB StackExchangeClusteringP2P config: default split: test revision: 815ca46b2622cec33ccafc3735d572c266efdb44 metrics: - type: v_measure value: 31.266631844140036 - task: type: Reranking dataset: type: None name: MTEB StackOverflowDupQuestions config: default split: test revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 metrics: - type: map value: 42.02550203348626 - type: mrr value: 42.442651302945414 - task: type: Summarization dataset: type: None name: MTEB SummEval config: default split: test revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c metrics: - type: cos_sim_pearson value: 30.22842420698354 - type: cos_sim_spearman value: 30.568909812744543 - type: dot_pearson value: 30.228424144316747 - type: dot_spearman value: 30.619692862283827 - task: type: Retrieval dataset: type: None name: MTEB TRECCOVID config: default split: test revision: None metrics: - type: map_at_1 value: 0.125 - type: map_at_10 value: 0.86 - type: map_at_100 value: 4.665 - type: map_at_1000 value: 11.877 - type: map_at_3 value: 0.299 - type: map_at_5 value: 0.47200000000000003 - type: mrr_at_1 value: 50.0 - type: mrr_at_10 value: 64.711 - type: mrr_at_100 value: 65.065 - type: mrr_at_1000 value: 65.065 - type: mrr_at_3 value: 62.0 - type: mrr_at_5 value: 62.9 - type: ndcg_at_1 value: 43.0 - type: ndcg_at_10 value: 43.147999999999996 - type: ndcg_at_100 value: 33.417 - type: ndcg_at_1000 value: 31.341 - type: ndcg_at_3 value: 43.653999999999996 - type: ndcg_at_5 value: 43.21 - type: precision_at_1 value: 50.0 - type: precision_at_10 value: 48.199999999999996 - type: precision_at_100 value: 35.46 - type: precision_at_1000 value: 15.342 - type: precision_at_3 value: 48.0 - type: precision_at_5 value: 47.599999999999994 - type: recall_at_1 value: 0.125 - type: recall_at_10 value: 1.145 - type: recall_at_100 value: 7.727 - type: recall_at_1000 value: 30.742000000000004 - type: recall_at_3 value: 0.356 - type: recall_at_5 value: 0.5780000000000001 - task: type: Retrieval dataset: type: None name: MTEB Touche2020 config: default split: test revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f metrics: - type: map_at_1 value: 1.585 - type: map_at_10 value: 7.398000000000001 - type: map_at_100 value: 13.603000000000002 - type: map_at_1000 value: 15.267 - type: map_at_3 value: 3.857 - type: map_at_5 value: 5.509 - type: mrr_at_1 value: 24.490000000000002 - type: mrr_at_10 value: 39.883 - type: mrr_at_100 value: 41.082 - type: mrr_at_1000 value: 41.082 - type: mrr_at_3 value: 35.034 - type: mrr_at_5 value: 37.483 - type: ndcg_at_1 value: 23.469 - type: ndcg_at_10 value: 21.221999999999998 - type: ndcg_at_100 value: 34.851 - type: ndcg_at_1000 value: 46.26 - type: ndcg_at_3 value: 21.906 - type: ndcg_at_5 value: 21.229 - type: precision_at_1 value: 24.490000000000002 - type: precision_at_10 value: 19.796 - type: precision_at_100 value: 8.122 - type: precision_at_1000 value: 1.541 - type: precision_at_3 value: 23.810000000000002 - type: precision_at_5 value: 22.041 - type: recall_at_1 value: 1.585 - type: recall_at_10 value: 13.664000000000001 - type: recall_at_100 value: 49.559 - type: recall_at_1000 value: 83.978 - type: recall_at_3 value: 5.088 - type: recall_at_5 value: 8.203000000000001 - task: type: Classification dataset: type: None name: MTEB ToxicConversationsClassification config: default split: test revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c metrics: - type: accuracy value: 71.68520000000001 - type: ap value: 14.622321024533974 - type: f1 value: 55.1924859473184 - task: type: Classification dataset: type: None name: MTEB TweetSentimentExtractionClassification config: default split: test revision: d604517c81ca91fe16a244d1248fc021f9ecee7a metrics: - type: accuracy value: 53.34748160724392 - type: f1 value: 53.518629300332755 - task: type: Clustering dataset: type: None name: MTEB TwentyNewsgroupsClustering config: default split: test revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 metrics: - type: v_measure value: 40.22582442073446 - task: type: PairClassification dataset: type: None name: MTEB TwitterSemEval2015 config: default split: test revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 metrics: - type: cos_sim_accuracy value: 82.46408773916671 - type: cos_sim_ap value: 60.57612839124909 - type: cos_sim_f1 value: 58.366606170598914 - type: cos_sim_precision value: 53.899441340782126 - type: cos_sim_recall value: 63.641160949868066 - type: dot_accuracy value: 82.46408773916671 - type: dot_ap value: 60.57612839124909 - type: dot_f1 value: 58.366606170598914 - type: dot_precision value: 53.899441340782126 - type: dot_recall value: 63.641160949868066 - type: euclidean_accuracy value: 82.46408773916671 - type: euclidean_ap value: 60.57612839124909 - type: euclidean_f1 value: 58.366606170598914 - type: euclidean_precision value: 53.899441340782126 - type: euclidean_recall value: 63.641160949868066 - type: manhattan_accuracy value: 81.68921738093819 - type: manhattan_ap value: 58.62502289564927 - type: manhattan_f1 value: 57.40318906605921 - type: manhattan_precision value: 50.50100200400801 - type: manhattan_recall value: 66.49076517150397 - type: max_accuracy value: 82.46408773916671 - type: max_ap value: 60.57612839124909 - type: max_f1 value: 58.366606170598914 - task: type: PairClassification dataset: type: None name: MTEB TwitterURLCorpus config: default split: test revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy value: 86.89602980556526 - type: cos_sim_ap value: 81.92992391915341 - type: cos_sim_f1 value: 74.31139877741819 - type: cos_sim_precision value: 69.71393873971124 - type: cos_sim_recall value: 79.55805358792732 - type: dot_accuracy value: 86.89602980556526 - type: dot_ap value: 81.92992407440505 - type: dot_f1 value: 74.31139877741819 - type: dot_precision value: 69.71393873971124 - type: dot_recall value: 79.55805358792732 - type: euclidean_accuracy value: 86.89602980556526 - type: euclidean_ap value: 81.92992329073074 - type: euclidean_f1 value: 74.31139877741819 - type: euclidean_precision value: 69.71393873971124 - type: euclidean_recall value: 79.55805358792732 - type: manhattan_accuracy value: 86.94454146776886 - type: manhattan_ap value: 81.96535237136042 - type: manhattan_f1 value: 74.41181834761991 - type: manhattan_precision value: 70.70076939072572 - type: manhattan_recall value: 78.53403141361257 - type: max_accuracy value: 86.94454146776886 - type: max_ap value: 81.96535237136042 - type: max_f1 value: 74.41181834761991 ---