--- tags: - mteb model-index: - name: l3_wordllama_fixed results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 67.40298507462687 - type: ap value: 28.677454675181384 - type: f1 value: 60.58324071299079 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 63.75847499999999 - type: ap value: 59.00482910406265 - type: f1 value: 63.59920748914567 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 32.09 - type: f1 value: 31.527306414565835 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 20.413 - type: map_at_10 value: 35.176 - type: map_at_100 value: 36.489 - type: map_at_1000 value: 36.507 - type: map_at_3 value: 30.69 - type: map_at_5 value: 32.859 - type: mrr_at_1 value: 21.124000000000002 - type: mrr_at_10 value: 35.44 - type: mrr_at_100 value: 36.753 - type: mrr_at_1000 value: 36.77 - type: mrr_at_3 value: 30.915 - type: mrr_at_5 value: 33.113 - type: ndcg_at_1 value: 20.413 - type: ndcg_at_10 value: 43.565 - type: ndcg_at_100 value: 49.329 - type: ndcg_at_1000 value: 49.757 - type: ndcg_at_3 value: 34.143 - type: ndcg_at_5 value: 38.046 - type: precision_at_1 value: 20.413 - type: precision_at_10 value: 7.048 - type: precision_at_100 value: 0.9610000000000001 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 14.723 - type: precision_at_5 value: 10.725 - type: recall_at_1 value: 20.413 - type: recall_at_10 value: 70.48400000000001 - type: recall_at_100 value: 96.088 - type: recall_at_1000 value: 99.36 - type: recall_at_3 value: 44.168 - type: recall_at_5 value: 53.627 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 39.885229242790935 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 29.49720713710708 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 55.61953366105678 - type: mrr value: 70.12344457635315 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 76.26075421266883 - type: cos_sim_spearman value: 71.32873370732024 - type: euclidean_pearson value: 74.59312194402976 - type: euclidean_spearman value: 71.32873370732024 - type: manhattan_pearson value: 74.5892678336525 - type: manhattan_spearman value: 71.02450990790472 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 73.68506493506494 - type: f1 value: 72.88555102531198 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 33.29089107203252 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 25.19965378718348 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 21.508 - type: map_at_10 value: 29.088 - type: map_at_100 value: 30.279 - type: map_at_1000 value: 30.445 - type: map_at_3 value: 26.552999999999997 - type: map_at_5 value: 27.939000000000004 - type: mrr_at_1 value: 26.466 - type: mrr_at_10 value: 34.171 - type: mrr_at_100 value: 35.059000000000005 - type: mrr_at_1000 value: 35.137 - type: mrr_at_3 value: 31.855 - type: mrr_at_5 value: 33.093 - type: ndcg_at_1 value: 26.466 - type: ndcg_at_10 value: 34.097 - type: ndcg_at_100 value: 39.612 - type: ndcg_at_1000 value: 42.819 - type: ndcg_at_3 value: 29.918 - type: ndcg_at_5 value: 31.683 - type: precision_at_1 value: 26.466 - type: precision_at_10 value: 6.422999999999999 - type: precision_at_100 value: 1.15 - type: precision_at_1000 value: 0.17700000000000002 - type: precision_at_3 value: 13.972000000000001 - type: precision_at_5 value: 10.129000000000001 - type: recall_at_1 value: 21.508 - type: recall_at_10 value: 43.699 - type: recall_at_100 value: 68.404 - type: recall_at_1000 value: 89.687 - type: recall_at_3 value: 31.773 - type: recall_at_5 value: 36.687 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 16.865 - type: map_at_10 value: 23.164 - type: map_at_100 value: 24.15 - type: map_at_1000 value: 24.288 - type: map_at_3 value: 20.97 - type: map_at_5 value: 22.277 - type: mrr_at_1 value: 21.401 - type: mrr_at_10 value: 27.614 - type: mrr_at_100 value: 28.395 - type: mrr_at_1000 value: 28.469 - type: mrr_at_3 value: 25.594 - type: mrr_at_5 value: 26.735 - type: ndcg_at_1 value: 21.401 - type: ndcg_at_10 value: 27.343 - type: ndcg_at_100 value: 31.726 - type: ndcg_at_1000 value: 34.586 - type: ndcg_at_3 value: 23.723 - type: ndcg_at_5 value: 25.524 - type: precision_at_1 value: 21.401 - type: precision_at_10 value: 5.236 - type: precision_at_100 value: 0.9650000000000001 - type: precision_at_1000 value: 0.146 - type: precision_at_3 value: 11.444 - type: precision_at_5 value: 8.497 - type: recall_at_1 value: 16.865 - type: recall_at_10 value: 35.209 - type: recall_at_100 value: 54.371 - type: recall_at_1000 value: 73.651 - type: recall_at_3 value: 24.943 - type: recall_at_5 value: 29.634 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 25.424000000000003 - type: map_at_10 value: 34.318 - type: map_at_100 value: 35.461999999999996 - type: map_at_1000 value: 35.551 - type: map_at_3 value: 31.694 - type: map_at_5 value: 33.111000000000004 - type: mrr_at_1 value: 29.215999999999998 - type: mrr_at_10 value: 37.333 - type: mrr_at_100 value: 38.223 - type: mrr_at_1000 value: 38.282 - type: mrr_at_3 value: 35.004999999999995 - type: mrr_at_5 value: 36.272 - type: ndcg_at_1 value: 29.215999999999998 - type: ndcg_at_10 value: 39.309 - type: ndcg_at_100 value: 44.718999999999994 - type: ndcg_at_1000 value: 46.877 - type: ndcg_at_3 value: 34.449999999999996 - type: ndcg_at_5 value: 36.675999999999995 - type: precision_at_1 value: 29.215999999999998 - type: precision_at_10 value: 6.483 - type: precision_at_100 value: 1.0330000000000001 - type: precision_at_1000 value: 0.128 - type: precision_at_3 value: 15.298 - type: precision_at_5 value: 10.734 - type: recall_at_1 value: 25.424000000000003 - type: recall_at_10 value: 51.464 - type: recall_at_100 value: 75.87 - type: recall_at_1000 value: 91.77300000000001 - type: recall_at_3 value: 38.396 - type: recall_at_5 value: 43.759 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 14.674000000000001 - type: map_at_10 value: 18.984 - type: map_at_100 value: 19.867 - type: map_at_1000 value: 19.975 - type: map_at_3 value: 17.488999999999997 - type: map_at_5 value: 18.412 - type: mrr_at_1 value: 15.818999999999999 - type: mrr_at_10 value: 20.472 - type: mrr_at_100 value: 21.342 - type: mrr_at_1000 value: 21.431 - type: mrr_at_3 value: 18.908 - type: mrr_at_5 value: 19.811999999999998 - type: ndcg_at_1 value: 15.818999999999999 - type: ndcg_at_10 value: 21.823 - type: ndcg_at_100 value: 27.0 - type: ndcg_at_1000 value: 30.064999999999998 - type: ndcg_at_3 value: 18.776 - type: ndcg_at_5 value: 20.395 - type: precision_at_1 value: 15.818999999999999 - type: precision_at_10 value: 3.367 - type: precision_at_100 value: 0.649 - type: precision_at_1000 value: 0.095 - type: precision_at_3 value: 7.797 - type: precision_at_5 value: 5.582 - type: recall_at_1 value: 14.674000000000001 - type: recall_at_10 value: 29.087000000000003 - type: recall_at_100 value: 54.52 - type: recall_at_1000 value: 78.27 - type: recall_at_3 value: 21.075 - type: recall_at_5 value: 24.92 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 8.123 - type: map_at_10 value: 13.483 - type: map_at_100 value: 14.457999999999998 - type: map_at_1000 value: 14.579 - type: map_at_3 value: 11.271 - type: map_at_5 value: 12.418 - type: mrr_at_1 value: 10.323 - type: mrr_at_10 value: 16.244 - type: mrr_at_100 value: 17.186 - type: mrr_at_1000 value: 17.27 - type: mrr_at_3 value: 13.91 - type: mrr_at_5 value: 15.116 - type: ndcg_at_1 value: 10.323 - type: ndcg_at_10 value: 17.366999999999997 - type: ndcg_at_100 value: 22.553 - type: ndcg_at_1000 value: 25.817 - type: ndcg_at_3 value: 12.895000000000001 - type: ndcg_at_5 value: 14.856 - type: precision_at_1 value: 10.323 - type: precision_at_10 value: 3.5069999999999997 - type: precision_at_100 value: 0.711 - type: precision_at_1000 value: 0.11299999999999999 - type: precision_at_3 value: 6.3020000000000005 - type: precision_at_5 value: 5.0 - type: recall_at_1 value: 8.123 - type: recall_at_10 value: 26.889000000000003 - type: recall_at_100 value: 50.397999999999996 - type: recall_at_1000 value: 74.244 - type: recall_at_3 value: 14.691 - type: recall_at_5 value: 19.503 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 18.607000000000003 - type: map_at_10 value: 25.596000000000004 - type: map_at_100 value: 26.984 - type: map_at_1000 value: 27.125 - type: map_at_3 value: 22.917 - type: map_at_5 value: 24.201 - type: mrr_at_1 value: 22.907 - type: mrr_at_10 value: 30.384 - type: mrr_at_100 value: 31.432 - type: mrr_at_1000 value: 31.5 - type: mrr_at_3 value: 27.703 - type: mrr_at_5 value: 29.137 - type: ndcg_at_1 value: 22.907 - type: ndcg_at_10 value: 30.824 - type: ndcg_at_100 value: 37.265 - type: ndcg_at_1000 value: 40.191 - type: ndcg_at_3 value: 25.913000000000004 - type: ndcg_at_5 value: 27.849 - type: precision_at_1 value: 22.907 - type: precision_at_10 value: 5.9479999999999995 - type: precision_at_100 value: 1.094 - type: precision_at_1000 value: 0.155 - type: precision_at_3 value: 12.384 - type: precision_at_5 value: 9.009 - type: recall_at_1 value: 18.607000000000003 - type: recall_at_10 value: 42.082 - type: recall_at_100 value: 70.018 - type: recall_at_1000 value: 90.003 - type: recall_at_3 value: 27.932000000000002 - type: recall_at_5 value: 32.975 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 14.52 - type: map_at_10 value: 21.61 - type: map_at_100 value: 22.827 - type: map_at_1000 value: 22.964000000000002 - type: map_at_3 value: 19.500999999999998 - type: map_at_5 value: 20.798 - type: mrr_at_1 value: 17.694 - type: mrr_at_10 value: 25.161 - type: mrr_at_100 value: 26.180999999999997 - type: mrr_at_1000 value: 26.269 - type: mrr_at_3 value: 23.116 - type: mrr_at_5 value: 24.412 - type: ndcg_at_1 value: 17.694 - type: ndcg_at_10 value: 25.924000000000003 - type: ndcg_at_100 value: 31.615 - type: ndcg_at_1000 value: 34.955000000000005 - type: ndcg_at_3 value: 22.161 - type: ndcg_at_5 value: 24.16 - type: precision_at_1 value: 17.694 - type: precision_at_10 value: 4.874 - type: precision_at_100 value: 0.91 - type: precision_at_1000 value: 0.13799999999999998 - type: precision_at_3 value: 10.731 - type: precision_at_5 value: 8.014000000000001 - type: recall_at_1 value: 14.52 - type: recall_at_10 value: 35.369 - type: recall_at_100 value: 60.0 - type: recall_at_1000 value: 83.66799999999999 - type: recall_at_3 value: 25.058999999999997 - type: recall_at_5 value: 30.131999999999998 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 15.35675 - type: map_at_10 value: 21.087750000000007 - type: map_at_100 value: 22.12925 - type: map_at_1000 value: 22.262 - type: map_at_3 value: 19.156249999999996 - type: map_at_5 value: 20.202916666666663 - type: mrr_at_1 value: 18.301583333333333 - type: mrr_at_10 value: 24.283083333333334 - type: mrr_at_100 value: 25.176583333333337 - type: mrr_at_1000 value: 25.262083333333337 - type: mrr_at_3 value: 22.38533333333333 - type: mrr_at_5 value: 23.408 - type: ndcg_at_1 value: 18.301583333333333 - type: ndcg_at_10 value: 24.931416666666667 - type: ndcg_at_100 value: 30.107249999999997 - type: ndcg_at_1000 value: 33.292500000000004 - type: ndcg_at_3 value: 21.380833333333335 - type: ndcg_at_5 value: 22.965416666666663 - type: precision_at_1 value: 18.301583333333333 - type: precision_at_10 value: 4.475583333333334 - type: precision_at_100 value: 0.84875 - type: precision_at_1000 value: 0.13066666666666668 - type: precision_at_3 value: 9.858500000000001 - type: precision_at_5 value: 7.125333333333334 - type: recall_at_1 value: 15.35675 - type: recall_at_10 value: 33.385666666666665 - type: recall_at_100 value: 57.03541666666667 - type: recall_at_1000 value: 80.00874999999999 - type: recall_at_3 value: 23.440833333333337 - type: recall_at_5 value: 27.48841666666666 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 13.023000000000001 - type: map_at_10 value: 17.116999999999997 - type: map_at_100 value: 18.016 - type: map_at_1000 value: 18.124000000000002 - type: map_at_3 value: 15.654000000000002 - type: map_at_5 value: 16.494 - type: mrr_at_1 value: 14.877 - type: mrr_at_10 value: 19.061 - type: mrr_at_100 value: 19.933 - type: mrr_at_1000 value: 20.027 - type: mrr_at_3 value: 17.740000000000002 - type: mrr_at_5 value: 18.384 - type: ndcg_at_1 value: 14.877 - type: ndcg_at_10 value: 19.991999999999997 - type: ndcg_at_100 value: 24.836 - type: ndcg_at_1000 value: 27.922000000000004 - type: ndcg_at_3 value: 17.221 - type: ndcg_at_5 value: 18.496000000000002 - type: precision_at_1 value: 14.877 - type: precision_at_10 value: 3.298 - type: precision_at_100 value: 0.629 - type: precision_at_1000 value: 0.098 - type: precision_at_3 value: 7.617999999999999 - type: precision_at_5 value: 5.428999999999999 - type: recall_at_1 value: 13.023000000000001 - type: recall_at_10 value: 27.064 - type: recall_at_100 value: 49.971 - type: recall_at_1000 value: 73.195 - type: recall_at_3 value: 19.273 - type: recall_at_5 value: 22.465 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 8.86 - type: map_at_10 value: 12.806999999999999 - type: map_at_100 value: 13.55 - type: map_at_1000 value: 13.684 - type: map_at_3 value: 11.368 - type: map_at_5 value: 12.106 - type: mrr_at_1 value: 10.943 - type: mrr_at_10 value: 15.397 - type: mrr_at_100 value: 16.139 - type: mrr_at_1000 value: 16.242 - type: mrr_at_3 value: 13.805 - type: mrr_at_5 value: 14.601 - type: ndcg_at_1 value: 10.943 - type: ndcg_at_10 value: 15.693999999999999 - type: ndcg_at_100 value: 19.869 - type: ndcg_at_1000 value: 23.579 - type: ndcg_at_3 value: 12.920000000000002 - type: ndcg_at_5 value: 14.054 - type: precision_at_1 value: 10.943 - type: precision_at_10 value: 2.97 - type: precision_at_100 value: 0.609 - type: precision_at_1000 value: 0.11100000000000002 - type: precision_at_3 value: 6.148 - type: precision_at_5 value: 4.529 - type: recall_at_1 value: 8.86 - type: recall_at_10 value: 22.041 - type: recall_at_100 value: 41.528 - type: recall_at_1000 value: 68.917 - type: recall_at_3 value: 14.257 - type: recall_at_5 value: 17.191000000000003 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 14.508 - type: map_at_10 value: 19.814999999999998 - type: map_at_100 value: 20.761 - type: map_at_1000 value: 20.899 - type: map_at_3 value: 17.959 - type: map_at_5 value: 18.877 - type: mrr_at_1 value: 17.444000000000003 - type: mrr_at_10 value: 23.067 - type: mrr_at_100 value: 23.906 - type: mrr_at_1000 value: 24.015 - type: mrr_at_3 value: 21.191 - type: mrr_at_5 value: 22.124 - type: ndcg_at_1 value: 17.444000000000003 - type: ndcg_at_10 value: 23.519000000000002 - type: ndcg_at_100 value: 28.546 - type: ndcg_at_1000 value: 32.243 - type: ndcg_at_3 value: 19.958000000000002 - type: ndcg_at_5 value: 21.391 - type: precision_at_1 value: 17.444000000000003 - type: precision_at_10 value: 4.104 - type: precision_at_100 value: 0.758 - type: precision_at_1000 value: 0.11900000000000001 - type: precision_at_3 value: 9.142 - type: precision_at_5 value: 6.474 - type: recall_at_1 value: 14.508 - type: recall_at_10 value: 31.788 - type: recall_at_100 value: 55.047999999999995 - type: recall_at_1000 value: 82.155 - type: recall_at_3 value: 21.857 - type: recall_at_5 value: 25.549 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 16.733 - type: map_at_10 value: 21.721 - type: map_at_100 value: 22.986 - type: map_at_1000 value: 23.198 - type: map_at_3 value: 20.229 - type: map_at_5 value: 21.066 - type: mrr_at_1 value: 19.96 - type: mrr_at_10 value: 25.683 - type: mrr_at_100 value: 26.662000000000003 - type: mrr_at_1000 value: 26.749000000000002 - type: mrr_at_3 value: 24.209 - type: mrr_at_5 value: 25.049 - type: ndcg_at_1 value: 19.96 - type: ndcg_at_10 value: 25.413999999999998 - type: ndcg_at_100 value: 30.916 - type: ndcg_at_1000 value: 34.678 - type: ndcg_at_3 value: 23.138 - type: ndcg_at_5 value: 24.169 - type: precision_at_1 value: 19.96 - type: precision_at_10 value: 4.743 - type: precision_at_100 value: 1.126 - type: precision_at_1000 value: 0.201 - type: precision_at_3 value: 10.935 - type: precision_at_5 value: 7.707999999999999 - type: recall_at_1 value: 16.733 - type: recall_at_10 value: 31.512 - type: recall_at_100 value: 57.079 - type: recall_at_1000 value: 82.661 - type: recall_at_3 value: 24.252000000000002 - type: recall_at_5 value: 27.317000000000004 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 11.436 - type: map_at_10 value: 15.35 - type: map_at_100 value: 16.211000000000002 - type: map_at_1000 value: 16.311999999999998 - type: map_at_3 value: 14.27 - type: map_at_5 value: 14.735999999999999 - type: mrr_at_1 value: 12.568999999999999 - type: mrr_at_10 value: 16.81 - type: mrr_at_100 value: 17.660999999999998 - type: mrr_at_1000 value: 17.754 - type: mrr_at_3 value: 15.588 - type: mrr_at_5 value: 16.161 - type: ndcg_at_1 value: 12.568999999999999 - type: ndcg_at_10 value: 17.871000000000002 - type: ndcg_at_100 value: 22.63 - type: ndcg_at_1000 value: 25.778000000000002 - type: ndcg_at_3 value: 15.497 - type: ndcg_at_5 value: 16.332 - type: precision_at_1 value: 12.568999999999999 - type: precision_at_10 value: 2.754 - type: precision_at_100 value: 0.551 - type: precision_at_1000 value: 0.087 - type: precision_at_3 value: 6.531000000000001 - type: precision_at_5 value: 4.399 - type: recall_at_1 value: 11.436 - type: recall_at_10 value: 24.424 - type: recall_at_100 value: 47.217999999999996 - type: recall_at_1000 value: 71.881 - type: recall_at_3 value: 17.782 - type: recall_at_5 value: 19.729 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 6.822 - type: map_at_10 value: 12.872 - type: map_at_100 value: 14.504 - type: map_at_1000 value: 14.712 - type: map_at_3 value: 10.357 - type: map_at_5 value: 11.700000000000001 - type: mrr_at_1 value: 15.895999999999999 - type: mrr_at_10 value: 26.407999999999998 - type: mrr_at_100 value: 27.528999999999996 - type: mrr_at_1000 value: 27.586 - type: mrr_at_3 value: 22.714000000000002 - type: mrr_at_5 value: 24.762999999999998 - type: ndcg_at_1 value: 15.895999999999999 - type: ndcg_at_10 value: 19.643 - type: ndcg_at_100 value: 26.863999999999997 - type: ndcg_at_1000 value: 30.804 - type: ndcg_at_3 value: 14.914 - type: ndcg_at_5 value: 16.723 - type: precision_at_1 value: 15.895999999999999 - type: precision_at_10 value: 6.612 - type: precision_at_100 value: 1.434 - type: precision_at_1000 value: 0.216 - type: precision_at_3 value: 11.488 - type: precision_at_5 value: 9.354999999999999 - type: recall_at_1 value: 6.822 - type: recall_at_10 value: 25.478 - type: recall_at_100 value: 50.94 - type: recall_at_1000 value: 73.264 - type: recall_at_3 value: 14.228 - type: recall_at_5 value: 18.91 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 4.601999999999999 - type: map_at_10 value: 9.225999999999999 - type: map_at_100 value: 12.692 - type: map_at_1000 value: 13.65 - type: map_at_3 value: 6.883 - type: map_at_5 value: 7.904 - type: mrr_at_1 value: 34.0 - type: mrr_at_10 value: 45.83 - type: mrr_at_100 value: 46.608 - type: mrr_at_1000 value: 46.635 - type: mrr_at_3 value: 42.583 - type: mrr_at_5 value: 44.721 - type: ndcg_at_1 value: 24.75 - type: ndcg_at_10 value: 21.092 - type: ndcg_at_100 value: 25.288 - type: ndcg_at_1000 value: 32.550000000000004 - type: ndcg_at_3 value: 22.808999999999997 - type: ndcg_at_5 value: 21.931 - type: precision_at_1 value: 34.0 - type: precision_at_10 value: 18.525 - type: precision_at_100 value: 6.265 - type: precision_at_1000 value: 1.395 - type: precision_at_3 value: 27.500000000000004 - type: precision_at_5 value: 23.799999999999997 - type: recall_at_1 value: 4.601999999999999 - type: recall_at_10 value: 13.578000000000001 - type: recall_at_100 value: 32.438 - type: recall_at_1000 value: 57.067 - type: recall_at_3 value: 8.013 - type: recall_at_5 value: 10.057 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 39.0 - type: f1 value: 35.038106148143335 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 16.577 - type: map_at_10 value: 25.397 - type: map_at_100 value: 26.493 - type: map_at_1000 value: 26.56 - type: map_at_3 value: 22.523 - type: map_at_5 value: 24.102 - type: mrr_at_1 value: 17.717 - type: mrr_at_10 value: 26.999000000000002 - type: mrr_at_100 value: 28.084999999999997 - type: mrr_at_1000 value: 28.144999999999996 - type: mrr_at_3 value: 24.01 - type: mrr_at_5 value: 25.669999999999998 - type: ndcg_at_1 value: 17.717 - type: ndcg_at_10 value: 30.836999999999996 - type: ndcg_at_100 value: 36.278 - type: ndcg_at_1000 value: 38.139 - type: ndcg_at_3 value: 24.868000000000002 - type: ndcg_at_5 value: 27.701999999999998 - type: precision_at_1 value: 17.717 - type: precision_at_10 value: 5.0569999999999995 - type: precision_at_100 value: 0.791 - type: precision_at_1000 value: 0.097 - type: precision_at_3 value: 10.850999999999999 - type: precision_at_5 value: 8.004999999999999 - type: recall_at_1 value: 16.577 - type: recall_at_10 value: 46.451 - type: recall_at_100 value: 71.61800000000001 - type: recall_at_1000 value: 85.902 - type: recall_at_3 value: 30.130000000000003 - type: recall_at_5 value: 36.902 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 7.0680000000000005 - type: map_at_10 value: 12.424 - type: map_at_100 value: 13.750000000000002 - type: map_at_1000 value: 13.963999999999999 - type: map_at_3 value: 10.41 - type: map_at_5 value: 11.459999999999999 - type: mrr_at_1 value: 14.506 - type: mrr_at_10 value: 21.644 - type: mrr_at_100 value: 22.708000000000002 - type: mrr_at_1000 value: 22.811 - type: mrr_at_3 value: 19.084 - type: mrr_at_5 value: 20.543 - type: ndcg_at_1 value: 14.506 - type: ndcg_at_10 value: 17.485 - type: ndcg_at_100 value: 23.565 - type: ndcg_at_1000 value: 28.177000000000003 - type: ndcg_at_3 value: 14.423 - type: ndcg_at_5 value: 15.536 - type: precision_at_1 value: 14.506 - type: precision_at_10 value: 5.122999999999999 - type: precision_at_100 value: 1.13 - type: precision_at_1000 value: 0.193 - type: precision_at_3 value: 9.722 - type: precision_at_5 value: 7.623 - type: recall_at_1 value: 7.0680000000000005 - type: recall_at_10 value: 23.423 - type: recall_at_100 value: 46.682 - type: recall_at_1000 value: 75.22999999999999 - type: recall_at_3 value: 13.544999999999998 - type: recall_at_5 value: 17.448 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 21.837 - type: map_at_10 value: 30.614 - type: map_at_100 value: 31.6 - type: map_at_1000 value: 31.71 - type: map_at_3 value: 28.219 - type: map_at_5 value: 29.598000000000003 - type: mrr_at_1 value: 43.673 - type: mrr_at_10 value: 51.627 - type: mrr_at_100 value: 52.323 - type: mrr_at_1000 value: 52.364 - type: mrr_at_3 value: 49.527 - type: mrr_at_5 value: 50.76500000000001 - type: ndcg_at_1 value: 43.673 - type: ndcg_at_10 value: 38.696000000000005 - type: ndcg_at_100 value: 43.124 - type: ndcg_at_1000 value: 45.552 - type: ndcg_at_3 value: 34.338 - type: ndcg_at_5 value: 36.553000000000004 - type: precision_at_1 value: 43.673 - type: precision_at_10 value: 8.432 - type: precision_at_100 value: 1.198 - type: precision_at_1000 value: 0.152 - type: precision_at_3 value: 21.58 - type: precision_at_5 value: 14.706 - type: recall_at_1 value: 21.837 - type: recall_at_10 value: 42.161 - type: recall_at_100 value: 59.899 - type: recall_at_1000 value: 76.036 - type: recall_at_3 value: 32.37 - type: recall_at_5 value: 36.766 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 65.0232 - type: ap value: 59.81346113056583 - type: f1 value: 64.78827292080608 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 6.614000000000001 - type: map_at_10 value: 11.733 - type: map_at_100 value: 12.757 - type: map_at_1000 value: 12.873999999999999 - type: map_at_3 value: 9.783999999999999 - type: map_at_5 value: 10.807 - type: mrr_at_1 value: 6.834 - type: mrr_at_10 value: 12.074 - type: mrr_at_100 value: 13.099 - type: mrr_at_1000 value: 13.211 - type: mrr_at_3 value: 10.098 - type: mrr_at_5 value: 11.132 - type: ndcg_at_1 value: 6.834 - type: ndcg_at_10 value: 15.046000000000001 - type: ndcg_at_100 value: 20.657 - type: ndcg_at_1000 value: 24.112000000000002 - type: ndcg_at_3 value: 10.95 - type: ndcg_at_5 value: 12.796 - type: precision_at_1 value: 6.834 - type: precision_at_10 value: 2.633 - type: precision_at_100 value: 0.555 - type: precision_at_1000 value: 0.08499999999999999 - type: precision_at_3 value: 4.842 - type: precision_at_5 value: 3.8249999999999997 - type: recall_at_1 value: 6.614000000000001 - type: recall_at_10 value: 25.39 - type: recall_at_100 value: 52.793 - type: recall_at_1000 value: 80.415 - type: recall_at_3 value: 14.033000000000001 - type: recall_at_5 value: 18.496000000000002 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 85.58139534883719 - type: f1 value: 84.72133199480218 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 56.2608299133607 - type: f1 value: 36.74698315617003 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 61.993947545393404 - type: f1 value: 59.68762807193991 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 68.49361129791525 - type: f1 value: 67.16568787114376 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 30.675655693797378 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 26.87954369022046 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 30.47254787311633 - type: mrr value: 31.476216991631862 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 2.703 - type: map_at_10 value: 6.99 - type: map_at_100 value: 9.191 - type: map_at_1000 value: 10.385 - type: map_at_3 value: 5.015 - type: map_at_5 value: 5.904 - type: mrr_at_1 value: 30.031000000000002 - type: mrr_at_10 value: 40.001 - type: mrr_at_100 value: 40.724 - type: mrr_at_1000 value: 40.778 - type: mrr_at_3 value: 37.358000000000004 - type: mrr_at_5 value: 38.426 - type: ndcg_at_1 value: 28.483000000000004 - type: ndcg_at_10 value: 23.229 - type: ndcg_at_100 value: 22.115000000000002 - type: ndcg_at_1000 value: 31.263 - type: ndcg_at_3 value: 26.432 - type: ndcg_at_5 value: 25.074999999999996 - type: precision_at_1 value: 30.031000000000002 - type: precision_at_10 value: 17.957 - type: precision_at_100 value: 6.3 - type: precision_at_1000 value: 1.909 - type: precision_at_3 value: 26.006 - type: precision_at_5 value: 22.786 - type: recall_at_1 value: 2.703 - type: recall_at_10 value: 11.333 - type: recall_at_100 value: 24.629 - type: recall_at_1000 value: 57.162 - type: recall_at_3 value: 6.148 - type: recall_at_5 value: 7.902000000000001 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 10.904 - type: map_at_10 value: 18.551000000000002 - type: map_at_100 value: 19.913 - type: map_at_1000 value: 20.008 - type: map_at_3 value: 15.8 - type: map_at_5 value: 17.261000000000003 - type: mrr_at_1 value: 12.457 - type: mrr_at_10 value: 20.319000000000003 - type: mrr_at_100 value: 21.532999999999998 - type: mrr_at_1000 value: 21.61 - type: mrr_at_3 value: 17.449 - type: mrr_at_5 value: 19.023 - type: ndcg_at_1 value: 12.457 - type: ndcg_at_10 value: 23.488999999999997 - type: ndcg_at_100 value: 30.109 - type: ndcg_at_1000 value: 32.725 - type: ndcg_at_3 value: 17.73 - type: ndcg_at_5 value: 20.387 - type: precision_at_1 value: 12.457 - type: precision_at_10 value: 4.3709999999999996 - type: precision_at_100 value: 0.8109999999999999 - type: precision_at_1000 value: 0.106 - type: precision_at_3 value: 8.333 - type: precision_at_5 value: 6.489000000000001 - type: recall_at_1 value: 10.904 - type: recall_at_10 value: 37.143 - type: recall_at_100 value: 67.432 - type: recall_at_1000 value: 87.59400000000001 - type: recall_at_3 value: 21.734 - type: recall_at_5 value: 27.927999999999997 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 63.499 - type: map_at_10 value: 77.088 - type: map_at_100 value: 77.91 - type: map_at_1000 value: 77.935 - type: map_at_3 value: 73.88900000000001 - type: map_at_5 value: 75.797 - type: mrr_at_1 value: 73.2 - type: mrr_at_10 value: 80.927 - type: mrr_at_100 value: 81.146 - type: mrr_at_1000 value: 81.148 - type: mrr_at_3 value: 79.427 - type: mrr_at_5 value: 80.363 - type: ndcg_at_1 value: 73.22999999999999 - type: ndcg_at_10 value: 81.926 - type: ndcg_at_100 value: 83.929 - type: ndcg_at_1000 value: 84.127 - type: ndcg_at_3 value: 78.071 - type: ndcg_at_5 value: 80.015 - type: precision_at_1 value: 73.22999999999999 - type: precision_at_10 value: 12.639 - type: precision_at_100 value: 1.5110000000000001 - type: precision_at_1000 value: 0.156 - type: precision_at_3 value: 34.217 - type: precision_at_5 value: 22.722 - type: recall_at_1 value: 63.499 - type: recall_at_10 value: 91.646 - type: recall_at_100 value: 98.92999999999999 - type: recall_at_1000 value: 99.914 - type: recall_at_3 value: 80.703 - type: recall_at_5 value: 86.048 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 43.80644854168368 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 48.708800185514974 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 3.773 - type: map_at_10 value: 9.305 - type: map_at_100 value: 11.469 - type: map_at_1000 value: 11.828 - type: map_at_3 value: 6.675000000000001 - type: map_at_5 value: 7.965 - type: mrr_at_1 value: 18.6 - type: mrr_at_10 value: 28.392 - type: mrr_at_100 value: 29.664 - type: mrr_at_1000 value: 29.724 - type: mrr_at_3 value: 25.183 - type: mrr_at_5 value: 26.893 - type: ndcg_at_1 value: 18.6 - type: ndcg_at_10 value: 16.292 - type: ndcg_at_100 value: 25.0 - type: ndcg_at_1000 value: 31.136000000000003 - type: ndcg_at_3 value: 15.212 - type: ndcg_at_5 value: 13.354 - type: precision_at_1 value: 18.6 - type: precision_at_10 value: 8.57 - type: precision_at_100 value: 2.122 - type: precision_at_1000 value: 0.359 - type: precision_at_3 value: 14.267 - type: precision_at_5 value: 11.799999999999999 - type: recall_at_1 value: 3.773 - type: recall_at_10 value: 17.352999999999998 - type: recall_at_100 value: 43.062 - type: recall_at_1000 value: 72.775 - type: recall_at_3 value: 8.677999999999999 - type: recall_at_5 value: 11.958 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 77.70369570699015 - type: cos_sim_spearman value: 67.00421728409633 - type: euclidean_pearson value: 71.7303217538682 - type: euclidean_spearman value: 67.00421728409633 - type: manhattan_pearson value: 71.62358736603595 - type: manhattan_spearman value: 66.93696271331966 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 72.3464707081196 - type: cos_sim_spearman value: 63.91086584602619 - type: euclidean_pearson value: 68.22390430027092 - type: euclidean_spearman value: 63.91086584602619 - type: manhattan_pearson value: 68.14984324829423 - type: manhattan_spearman value: 63.86219497566778 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 72.80276772789091 - type: cos_sim_spearman value: 73.34700075766551 - type: euclidean_pearson value: 72.88415583236083 - 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task: type: STS dataset: type: None name: MTEB STS16 config: default split: test revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 metrics: - type: cos_sim_pearson value: 75.7401837172966 - type: cos_sim_spearman value: 76.13099867057305 - type: euclidean_pearson value: 75.56851096153042 - type: euclidean_spearman value: 76.13099867057305 - type: manhattan_pearson value: 75.4483276223799 - type: manhattan_spearman value: 75.96804558062843 - task: type: STS dataset: type: None name: MTEB STS17 (en-en) config: en-en split: test revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d metrics: - type: cos_sim_pearson value: 85.0294369233462 - type: cos_sim_spearman value: 85.17543345937065 - type: euclidean_pearson value: 84.55546274084796 - type: euclidean_spearman value: 85.17543345937065 - type: manhattan_pearson value: 84.48053547013386 - type: manhattan_spearman value: 85.1543300887167 - task: type: STS dataset: type: None name: MTEB STS22 (en) config: en split: test revision: eea2b4fe26a775864c896887d910b76a8098ad3f metrics: - 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type: cos_sim_precision value: 68.7196541403392 - type: cos_sim_recall value: 79.55035417308285 - type: dot_accuracy value: 86.65541196103544 - type: dot_ap value: 80.90654522467446 - type: dot_f1 value: 73.7394283267316 - type: dot_precision value: 68.7196541403392 - type: dot_recall value: 79.55035417308285 - type: euclidean_accuracy value: 86.65541196103544 - type: euclidean_ap value: 80.90654748736512 - type: euclidean_f1 value: 73.7394283267316 - type: euclidean_precision value: 68.7196541403392 - type: euclidean_recall value: 79.55035417308285 - type: manhattan_accuracy value: 86.61272169829627 - type: manhattan_ap value: 80.85801370403492 - type: manhattan_f1 value: 73.63878299647558 - type: manhattan_precision value: 69.0916452962613 - type: manhattan_recall value: 78.8266091777025 - type: max_accuracy value: 86.65541196103544 - type: max_ap value: 80.90654748736512 - type: max_f1 value: 73.7394283267316 ---