--- tags: - mteb model-index: - name: nomic_classification_307_w30k_b10k results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 71.955223880597 - type: ap value: 34.13197114646943 - type: f1 value: 65.68946854348061 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 64.32617499999999 - type: ap value: 59.490845212236245 - type: f1 value: 64.1040492114687 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 33.838 - type: f1 value: 33.407172447103896 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 20.128 - type: map_at_10 value: 34.056 - type: map_at_100 value: 35.238 - type: map_at_1000 value: 35.266999999999996 - type: map_at_3 value: 29.457 - type: map_at_5 value: 32.11 - type: mrr_at_1 value: 20.483999999999998 - type: mrr_at_10 value: 34.186 - type: mrr_at_100 value: 35.388 - type: mrr_at_1000 value: 35.416 - type: mrr_at_3 value: 29.576 - type: mrr_at_5 value: 32.236 - type: ndcg_at_1 value: 20.128 - type: ndcg_at_10 value: 42.05 - type: ndcg_at_100 value: 47.661 - type: ndcg_at_1000 value: 48.339999999999996 - type: ndcg_at_3 value: 32.555 - type: ndcg_at_5 value: 37.348 - type: precision_at_1 value: 20.128 - type: precision_at_10 value: 6.771000000000001 - type: precision_at_100 value: 0.936 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 13.844999999999999 - type: precision_at_5 value: 10.639999999999999 - type: recall_at_1 value: 20.128 - type: recall_at_10 value: 67.71000000000001 - type: recall_at_100 value: 93.599 - type: recall_at_1000 value: 98.791 - type: recall_at_3 value: 41.536 - type: recall_at_5 value: 53.201 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 30.332603841310025 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 20.867624126885154 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 52.71119008857963 - type: mrr value: 66.35789033988479 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 78.18517708213652 - type: cos_sim_spearman value: 77.68068566977038 - type: euclidean_pearson value: 77.54287673443481 - type: euclidean_spearman value: 77.68068566977038 - type: manhattan_pearson value: 77.11580342725216 - type: manhattan_spearman value: 76.84632930899711 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 71.8603896103896 - type: f1 value: 71.02556795780878 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 28.30104672592466 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 18.177382002944345 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 20.352999999999998 - type: map_at_10 value: 27.258 - type: map_at_100 value: 28.396 - type: map_at_1000 value: 28.554000000000002 - type: map_at_3 value: 25.013999999999996 - type: map_at_5 value: 26.384999999999998 - type: mrr_at_1 value: 25.894000000000002 - type: mrr_at_10 value: 32.863 - type: mrr_at_100 value: 33.809 - type: mrr_at_1000 value: 33.886 - type: mrr_at_3 value: 31.020999999999997 - type: mrr_at_5 value: 32.129000000000005 - type: ndcg_at_1 value: 25.894000000000002 - type: ndcg_at_10 value: 31.830000000000002 - type: ndcg_at_100 value: 36.895 - type: ndcg_at_1000 value: 40.233000000000004 - type: ndcg_at_3 value: 28.764 - type: ndcg_at_5 value: 30.267 - type: precision_at_1 value: 25.894000000000002 - type: precision_at_10 value: 6.094 - type: precision_at_100 value: 1.072 - type: precision_at_1000 value: 0.167 - type: precision_at_3 value: 13.828999999999999 - type: precision_at_5 value: 10.157 - type: recall_at_1 value: 20.352999999999998 - type: recall_at_10 value: 39.318999999999996 - type: recall_at_100 value: 61.989000000000004 - type: recall_at_1000 value: 84.74199999999999 - type: recall_at_3 value: 29.673 - type: recall_at_5 value: 34.136 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 16.134 - type: map_at_10 value: 21.423000000000002 - type: map_at_100 value: 22.326999999999998 - type: map_at_1000 value: 22.451999999999998 - type: map_at_3 value: 19.602 - type: map_at_5 value: 20.77 - type: mrr_at_1 value: 20.446 - type: mrr_at_10 value: 25.496999999999996 - type: mrr_at_100 value: 26.264 - type: mrr_at_1000 value: 26.339000000000002 - type: mrr_at_3 value: 23.662 - type: mrr_at_5 value: 24.752 - type: ndcg_at_1 value: 20.446 - type: ndcg_at_10 value: 24.933 - type: ndcg_at_100 value: 29.268 - type: ndcg_at_1000 value: 32.24 - type: ndcg_at_3 value: 21.919 - type: ndcg_at_5 value: 23.54 - type: precision_at_1 value: 20.446 - type: precision_at_10 value: 4.5920000000000005 - type: precision_at_100 value: 0.853 - type: precision_at_1000 value: 0.136 - type: precision_at_3 value: 10.424999999999999 - type: precision_at_5 value: 7.605 - type: recall_at_1 value: 16.134 - type: recall_at_10 value: 31.369000000000003 - type: recall_at_100 value: 50.592999999999996 - type: recall_at_1000 value: 71.06 - type: recall_at_3 value: 22.888 - type: recall_at_5 value: 27.189000000000004 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 24.673000000000002 - type: map_at_10 value: 32.711 - type: map_at_100 value: 33.711 - type: map_at_1000 value: 33.802 - type: map_at_3 value: 30.301000000000002 - type: map_at_5 value: 31.499 - type: mrr_at_1 value: 28.589 - type: mrr_at_10 value: 35.812 - type: mrr_at_100 value: 36.63 - type: mrr_at_1000 value: 36.687999999999995 - type: mrr_at_3 value: 33.532000000000004 - type: mrr_at_5 value: 34.682 - type: ndcg_at_1 value: 28.589 - type: ndcg_at_10 value: 37.4 - type: ndcg_at_100 value: 42.363 - type: ndcg_at_1000 value: 44.525999999999996 - type: ndcg_at_3 value: 32.768 - type: ndcg_at_5 value: 34.683 - type: precision_at_1 value: 28.589 - type: precision_at_10 value: 6.144 - type: precision_at_100 value: 0.9530000000000001 - type: precision_at_1000 value: 0.121 - type: precision_at_3 value: 14.524999999999999 - type: precision_at_5 value: 10.006 - type: recall_at_1 value: 24.673000000000002 - type: recall_at_10 value: 48.711 - type: recall_at_100 value: 71.481 - type: recall_at_1000 value: 87.307 - type: recall_at_3 value: 36.04 - type: recall_at_5 value: 40.851 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 10.245 - type: map_at_10 value: 14.524000000000001 - type: map_at_100 value: 15.315000000000001 - type: map_at_1000 value: 15.418999999999999 - type: map_at_3 value: 13.255 - type: map_at_5 value: 13.898 - type: mrr_at_1 value: 11.411999999999999 - type: mrr_at_10 value: 15.681999999999999 - type: mrr_at_100 value: 16.497999999999998 - type: mrr_at_1000 value: 16.597 - type: mrr_at_3 value: 14.388000000000002 - type: mrr_at_5 value: 15.026 - type: ndcg_at_1 value: 11.411999999999999 - type: ndcg_at_10 value: 17.11 - type: ndcg_at_100 value: 21.426000000000002 - type: ndcg_at_1000 value: 24.747 - type: ndcg_at_3 value: 14.527999999999999 - type: ndcg_at_5 value: 15.626999999999999 - type: precision_at_1 value: 11.411999999999999 - type: precision_at_10 value: 2.723 - type: precision_at_100 value: 0.518 - type: precision_at_1000 value: 0.08499999999999999 - type: precision_at_3 value: 6.328 - type: precision_at_5 value: 4.3839999999999995 - type: recall_at_1 value: 10.245 - type: recall_at_10 value: 24.065 - type: recall_at_100 value: 44.627 - type: recall_at_1000 value: 70.844 - type: recall_at_3 value: 17.006 - type: recall_at_5 value: 19.661 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 6.197 - type: map_at_10 value: 9.278 - type: map_at_100 value: 9.916 - type: map_at_1000 value: 10.038 - type: map_at_3 value: 8.218 - type: map_at_5 value: 8.752 - type: mrr_at_1 value: 8.085 - type: mrr_at_10 value: 11.359 - type: mrr_at_100 value: 12.071 - type: mrr_at_1000 value: 12.174999999999999 - type: mrr_at_3 value: 10.158000000000001 - type: mrr_at_5 value: 10.73 - type: ndcg_at_1 value: 8.085 - type: ndcg_at_10 value: 11.545 - type: ndcg_at_100 value: 15.126999999999999 - type: ndcg_at_1000 value: 18.792 - type: ndcg_at_3 value: 9.462 - type: ndcg_at_5 value: 10.289 - type: precision_at_1 value: 8.085 - type: precision_at_10 value: 2.226 - type: precision_at_100 value: 0.47400000000000003 - type: precision_at_1000 value: 0.092 - type: precision_at_3 value: 4.643 - type: precision_at_5 value: 3.3329999999999997 - type: recall_at_1 value: 6.197 - type: recall_at_10 value: 16.597 - type: recall_at_100 value: 32.922000000000004 - type: recall_at_1000 value: 60.171 - type: recall_at_3 value: 10.644 - type: recall_at_5 value: 12.867 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 16.543 - type: map_at_10 value: 22.024 - type: map_at_100 value: 23.169999999999998 - type: map_at_1000 value: 23.304 - type: map_at_3 value: 20.215 - type: map_at_5 value: 21.208 - type: mrr_at_1 value: 20.885 - type: mrr_at_10 value: 26.616 - type: mrr_at_100 value: 27.508 - type: mrr_at_1000 value: 27.589000000000002 - type: mrr_at_3 value: 24.607 - type: mrr_at_5 value: 25.81 - type: ndcg_at_1 value: 20.885 - type: ndcg_at_10 value: 25.921 - type: ndcg_at_100 value: 31.351000000000003 - type: ndcg_at_1000 value: 34.434 - type: ndcg_at_3 value: 22.686 - type: ndcg_at_5 value: 24.21 - type: precision_at_1 value: 20.885 - type: precision_at_10 value: 4.735 - type: precision_at_100 value: 0.906 - type: precision_at_1000 value: 0.136 - type: precision_at_3 value: 10.555 - type: precision_at_5 value: 7.642 - type: recall_at_1 value: 16.543 - type: recall_at_10 value: 33.377 - type: recall_at_100 value: 57.043 - type: recall_at_1000 value: 78.497 - type: recall_at_3 value: 24.076 - type: recall_at_5 value: 28.101 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 10.985 - type: map_at_10 value: 16.586000000000002 - type: map_at_100 value: 17.616 - type: map_at_1000 value: 17.748 - type: map_at_3 value: 14.933 - type: map_at_5 value: 15.826 - type: mrr_at_1 value: 13.699 - type: mrr_at_10 value: 19.683999999999997 - type: mrr_at_100 value: 20.636 - type: mrr_at_1000 value: 20.719 - type: mrr_at_3 value: 17.941 - type: mrr_at_5 value: 18.866 - type: ndcg_at_1 value: 13.699 - type: ndcg_at_10 value: 20.057 - type: ndcg_at_100 value: 25.215 - type: ndcg_at_1000 value: 28.584 - type: ndcg_at_3 value: 16.989 - type: ndcg_at_5 value: 18.321 - type: precision_at_1 value: 13.699 - type: precision_at_10 value: 3.8580000000000005 - type: precision_at_100 value: 0.76 - type: precision_at_1000 value: 0.122 - type: precision_at_3 value: 8.219 - type: precision_at_5 value: 6.027 - type: recall_at_1 value: 10.985 - type: recall_at_10 value: 27.351 - type: recall_at_100 value: 50.221000000000004 - type: recall_at_1000 value: 74.368 - type: recall_at_3 value: 19.177 - type: recall_at_5 value: 22.42 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 13.05425 - type: map_at_10 value: 18.011166666666668 - type: map_at_100 value: 18.863249999999997 - type: map_at_1000 value: 18.986499999999996 - type: map_at_3 value: 16.473000000000003 - type: map_at_5 value: 17.302666666666667 - type: mrr_at_1 value: 15.915333333333335 - type: mrr_at_10 value: 20.951083333333333 - type: mrr_at_100 value: 21.731333333333332 - type: mrr_at_1000 value: 21.818749999999998 - type: mrr_at_3 value: 19.372833333333332 - type: mrr_at_5 value: 20.232750000000003 - type: ndcg_at_1 value: 15.915333333333335 - type: ndcg_at_10 value: 21.271500000000003 - type: ndcg_at_100 value: 25.59883333333333 - type: ndcg_at_1000 value: 28.81025 - type: ndcg_at_3 value: 18.473500000000005 - type: ndcg_at_5 value: 19.711666666666666 - type: precision_at_1 value: 15.915333333333335 - type: precision_at_10 value: 3.8305 - type: precision_at_100 value: 0.7128333333333334 - type: precision_at_1000 value: 0.11674999999999999 - type: precision_at_3 value: 8.618166666666667 - type: precision_at_5 value: 6.160166666666667 - type: recall_at_1 value: 13.05425 - type: recall_at_10 value: 28.18425 - type: recall_at_100 value: 48.085249999999995 - type: recall_at_1000 value: 71.58041666666665 - type: recall_at_3 value: 20.2705 - type: recall_at_5 value: 23.499916666666664 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 9.724 - type: map_at_10 value: 13.367 - type: map_at_100 value: 13.987 - type: map_at_1000 value: 14.075 - type: map_at_3 value: 12.4 - type: map_at_5 value: 12.838 - type: mrr_at_1 value: 11.35 - type: mrr_at_10 value: 15.268 - type: mrr_at_100 value: 15.885 - type: mrr_at_1000 value: 15.969 - type: mrr_at_3 value: 14.238000000000001 - type: mrr_at_5 value: 14.691 - type: ndcg_at_1 value: 11.35 - type: ndcg_at_10 value: 15.779000000000002 - type: ndcg_at_100 value: 19.204 - type: ndcg_at_1000 value: 21.964 - type: ndcg_at_3 value: 13.896 - type: ndcg_at_5 value: 14.538 - type: precision_at_1 value: 11.35 - type: precision_at_10 value: 2.699 - type: precision_at_100 value: 0.486 - type: precision_at_1000 value: 0.079 - type: precision_at_3 value: 6.442 - type: precision_at_5 value: 4.387 - type: recall_at_1 value: 9.724 - type: recall_at_10 value: 21.393 - type: recall_at_100 value: 37.618 - type: recall_at_1000 value: 59.035000000000004 - type: recall_at_3 value: 15.751000000000001 - type: recall_at_5 value: 17.544999999999998 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 7.026000000000001 - type: map_at_10 value: 10.151 - type: map_at_100 value: 10.699 - type: map_at_1000 value: 10.816 - type: map_at_3 value: 9.118 - type: map_at_5 value: 9.684 - type: mrr_at_1 value: 8.706 - type: mrr_at_10 value: 12.289 - type: mrr_at_100 value: 12.857 - type: mrr_at_1000 value: 12.956999999999999 - type: mrr_at_3 value: 11.126 - type: mrr_at_5 value: 11.808 - type: ndcg_at_1 value: 8.706 - type: ndcg_at_10 value: 12.386 - type: ndcg_at_100 value: 15.562000000000001 - type: ndcg_at_1000 value: 19.038 - type: ndcg_at_3 value: 10.392 - type: ndcg_at_5 value: 11.33 - type: precision_at_1 value: 8.706 - type: precision_at_10 value: 2.3539999999999996 - type: precision_at_100 value: 0.47400000000000003 - type: precision_at_1000 value: 0.093 - type: precision_at_3 value: 4.967 - type: precision_at_5 value: 3.7159999999999997 - type: recall_at_1 value: 7.026000000000001 - type: recall_at_10 value: 17.05 - type: recall_at_100 value: 32.12 - type: recall_at_1000 value: 58.179 - type: recall_at_3 value: 11.62 - type: recall_at_5 value: 13.91 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 11.023 - type: map_at_10 value: 15.139 - type: map_at_100 value: 15.919 - type: map_at_1000 value: 16.038 - type: map_at_3 value: 13.794 - type: map_at_5 value: 14.555000000000001 - type: mrr_at_1 value: 13.526 - type: mrr_at_10 value: 17.906 - type: mrr_at_100 value: 18.731 - type: mrr_at_1000 value: 18.831 - type: mrr_at_3 value: 16.496 - type: mrr_at_5 value: 17.317 - type: ndcg_at_1 value: 13.526 - type: ndcg_at_10 value: 17.999000000000002 - type: ndcg_at_100 value: 22.227 - type: ndcg_at_1000 value: 25.708 - type: ndcg_at_3 value: 15.421999999999999 - type: ndcg_at_5 value: 16.646 - type: precision_at_1 value: 13.526 - type: precision_at_10 value: 3.106 - type: precision_at_100 value: 0.5720000000000001 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 7.1209999999999996 - type: precision_at_5 value: 5.075 - type: recall_at_1 value: 11.023 - type: recall_at_10 value: 24.174 - type: recall_at_100 value: 43.861 - type: recall_at_1000 value: 69.729 - type: recall_at_3 value: 17.019000000000002 - type: recall_at_5 value: 20.189 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 12.83 - type: map_at_10 value: 18.9 - type: map_at_100 value: 19.874 - type: map_at_1000 value: 20.047 - type: map_at_3 value: 17.413 - type: map_at_5 value: 18.127 - type: mrr_at_1 value: 16.008 - type: mrr_at_10 value: 22.157 - type: mrr_at_100 value: 22.952 - type: mrr_at_1000 value: 23.035 - type: mrr_at_3 value: 20.487 - type: mrr_at_5 value: 21.397 - type: ndcg_at_1 value: 16.008 - type: ndcg_at_10 value: 22.898 - type: ndcg_at_100 value: 27.345999999999997 - type: ndcg_at_1000 value: 30.818 - type: ndcg_at_3 value: 20.294 - type: ndcg_at_5 value: 21.328 - type: precision_at_1 value: 16.008 - type: precision_at_10 value: 4.625 - type: precision_at_100 value: 0.972 - type: precision_at_1000 value: 0.18 - type: precision_at_3 value: 10.079 - type: precision_at_5 value: 7.154000000000001 - type: recall_at_1 value: 12.83 - type: recall_at_10 value: 30.509999999999998 - type: recall_at_100 value: 51.671 - type: recall_at_1000 value: 75.529 - type: recall_at_3 value: 22.889 - type: recall_at_5 value: 25.740000000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 10.918 - type: map_at_10 value: 14.773 - type: map_at_100 value: 15.429 - type: map_at_1000 value: 15.545 - type: map_at_3 value: 13.413 - type: map_at_5 value: 14.09 - type: mrr_at_1 value: 12.384 - type: mrr_at_10 value: 16.28 - type: mrr_at_100 value: 16.935 - type: mrr_at_1000 value: 17.04 - type: mrr_at_3 value: 14.818000000000001 - type: mrr_at_5 value: 15.584999999999999 - type: ndcg_at_1 value: 12.384 - type: ndcg_at_10 value: 17.4 - type: ndcg_at_100 value: 21.201999999999998 - type: ndcg_at_1000 value: 24.639 - type: ndcg_at_3 value: 14.562 - type: ndcg_at_5 value: 15.761 - type: precision_at_1 value: 12.384 - type: precision_at_10 value: 2.81 - type: precision_at_100 value: 0.514 - type: precision_at_1000 value: 0.091 - type: precision_at_3 value: 6.285 - type: precision_at_5 value: 4.436 - type: recall_at_1 value: 10.918 - type: recall_at_10 value: 24.295 - type: recall_at_100 value: 42.876999999999995 - type: recall_at_1000 value: 69.504 - type: recall_at_3 value: 16.463 - type: recall_at_5 value: 19.39 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 5.498 - type: map_at_10 value: 9.462 - type: map_at_100 value: 10.659 - type: map_at_1000 value: 10.837 - type: map_at_3 value: 7.701 - type: map_at_5 value: 8.524 - type: mrr_at_1 value: 12.182 - type: mrr_at_10 value: 19.561999999999998 - type: mrr_at_100 value: 20.665 - type: mrr_at_1000 value: 20.747 - type: mrr_at_3 value: 16.84 - type: mrr_at_5 value: 18.287 - type: ndcg_at_1 value: 12.182 - type: ndcg_at_10 value: 14.382 - type: ndcg_at_100 value: 20.244 - type: ndcg_at_1000 value: 24.247 - type: ndcg_at_3 value: 10.876 - type: ndcg_at_5 value: 12.064 - type: precision_at_1 value: 12.182 - type: precision_at_10 value: 4.853 - type: precision_at_100 value: 1.115 - type: precision_at_1000 value: 0.184 - type: precision_at_3 value: 8.208 - type: precision_at_5 value: 6.632000000000001 - type: recall_at_1 value: 5.498 - type: recall_at_10 value: 18.336 - type: recall_at_100 value: 39.318999999999996 - type: recall_at_1000 value: 62.760000000000005 - type: recall_at_3 value: 10.16 - type: recall_at_5 value: 13.149 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 2.928 - type: map_at_10 value: 6.816 - type: map_at_100 value: 9.347999999999999 - type: map_at_1000 value: 10.051 - type: map_at_3 value: 4.7669999999999995 - type: map_at_5 value: 5.6419999999999995 - type: mrr_at_1 value: 33.75 - type: mrr_at_10 value: 41.662 - type: mrr_at_100 value: 42.483 - type: mrr_at_1000 value: 42.536 - type: mrr_at_3 value: 39.125 - type: mrr_at_5 value: 40.363 - type: ndcg_at_1 value: 24.5 - type: ndcg_at_10 value: 18.73 - type: ndcg_at_100 value: 20.355 - type: ndcg_at_1000 value: 26.606 - type: ndcg_at_3 value: 21.169 - type: ndcg_at_5 value: 19.776 - type: precision_at_1 value: 33.75 - type: precision_at_10 value: 16.85 - type: precision_at_100 value: 5.095000000000001 - type: precision_at_1000 value: 1.107 - type: precision_at_3 value: 24.667 - type: precision_at_5 value: 21.3 - type: recall_at_1 value: 2.928 - type: recall_at_10 value: 10.637 - type: recall_at_100 value: 24.968 - type: recall_at_1000 value: 46.566 - type: recall_at_3 value: 5.619 - type: recall_at_5 value: 7.344 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 43.254999999999995 - type: f1 value: 39.47105271415231 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 9.212 - type: map_at_10 value: 13.952 - type: map_at_100 value: 14.680000000000001 - type: map_at_1000 value: 14.766000000000002 - type: map_at_3 value: 12.292 - type: map_at_5 value: 13.192 - type: mrr_at_1 value: 9.796000000000001 - type: mrr_at_10 value: 14.825 - type: mrr_at_100 value: 15.573999999999998 - type: mrr_at_1000 value: 15.656 - type: mrr_at_3 value: 13.064 - type: mrr_at_5 value: 14.025000000000002 - type: ndcg_at_1 value: 9.796000000000001 - type: ndcg_at_10 value: 16.985 - type: ndcg_at_100 value: 21.015 - type: ndcg_at_1000 value: 23.507 - type: ndcg_at_3 value: 13.505 - type: ndcg_at_5 value: 15.132000000000001 - type: precision_at_1 value: 9.796000000000001 - type: precision_at_10 value: 2.789 - type: precision_at_100 value: 0.49899999999999994 - type: precision_at_1000 value: 0.073 - type: precision_at_3 value: 5.816000000000001 - type: precision_at_5 value: 4.340999999999999 - type: recall_at_1 value: 9.212 - type: recall_at_10 value: 25.756 - type: recall_at_100 value: 45.279 - type: recall_at_1000 value: 64.806 - type: recall_at_3 value: 16.235 - type: recall_at_5 value: 20.125999999999998 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 5.604 - type: map_at_10 value: 9.46 - type: map_at_100 value: 10.417 - type: map_at_1000 value: 10.604 - type: map_at_3 value: 7.776 - type: map_at_5 value: 8.601 - type: mrr_at_1 value: 11.265 - type: mrr_at_10 value: 16.661 - type: mrr_at_100 value: 17.575 - type: mrr_at_1000 value: 17.684 - type: mrr_at_3 value: 14.582999999999998 - type: mrr_at_5 value: 15.717999999999998 - type: ndcg_at_1 value: 11.265 - type: ndcg_at_10 value: 13.36 - type: ndcg_at_100 value: 18.199 - type: ndcg_at_1000 value: 22.682 - type: ndcg_at_3 value: 10.677 - type: ndcg_at_5 value: 11.64 - type: precision_at_1 value: 11.265 - type: precision_at_10 value: 4.043 - type: precision_at_100 value: 0.8920000000000001 - type: precision_at_1000 value: 0.165 - type: precision_at_3 value: 7.305000000000001 - type: precision_at_5 value: 5.772 - type: recall_at_1 value: 5.604 - type: recall_at_10 value: 17.756 - type: recall_at_100 value: 36.913000000000004 - type: recall_at_1000 value: 65.438 - type: recall_at_3 value: 9.626999999999999 - type: recall_at_5 value: 12.665000000000001 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 12.026 - type: map_at_10 value: 16.878999999999998 - type: map_at_100 value: 17.607999999999997 - type: map_at_1000 value: 17.716 - type: map_at_3 value: 15.514 - type: map_at_5 value: 16.236 - type: mrr_at_1 value: 24.038 - type: mrr_at_10 value: 29.831999999999997 - type: mrr_at_100 value: 30.578 - type: mrr_at_1000 value: 30.656 - type: mrr_at_3 value: 28.298000000000002 - type: mrr_at_5 value: 29.116999999999997 - type: ndcg_at_1 value: 24.051000000000002 - type: ndcg_at_10 value: 22.042 - type: ndcg_at_100 value: 25.756 - type: ndcg_at_1000 value: 28.579 - type: ndcg_at_3 value: 19.296 - type: ndcg_at_5 value: 20.549999999999997 - type: precision_at_1 value: 24.051000000000002 - type: precision_at_10 value: 4.920999999999999 - type: precision_at_100 value: 0.792 - type: precision_at_1000 value: 0.117 - type: precision_at_3 value: 12.225999999999999 - type: precision_at_5 value: 8.332 - type: recall_at_1 value: 12.026 - type: recall_at_10 value: 24.605 - type: recall_at_100 value: 39.595 - type: recall_at_1000 value: 58.494 - type: recall_at_3 value: 18.339 - type: recall_at_5 value: 20.831 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 63.706399999999995 - type: ap value: 58.9524031201249 - type: f1 value: 63.556083975109466 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 4.845 - type: map_at_10 value: 8.402999999999999 - type: map_at_100 value: 9.106 - type: map_at_1000 value: 9.199 - type: map_at_3 value: 7.074999999999999 - type: map_at_5 value: 7.757 - type: mrr_at_1 value: 5.0 - type: mrr_at_10 value: 8.625 - type: mrr_at_100 value: 9.337 - type: mrr_at_1000 value: 9.428 - type: mrr_at_3 value: 7.266 - type: mrr_at_5 value: 7.965999999999999 - type: ndcg_at_1 value: 4.971 - type: ndcg_at_10 value: 10.696 - type: ndcg_at_100 value: 14.716000000000001 - type: ndcg_at_1000 value: 17.663999999999998 - type: ndcg_at_3 value: 7.881 - type: ndcg_at_5 value: 9.118 - type: precision_at_1 value: 4.971 - type: precision_at_10 value: 1.855 - type: precision_at_100 value: 0.398 - type: precision_at_1000 value: 0.066 - type: precision_at_3 value: 3.453 - type: precision_at_5 value: 2.693 - type: recall_at_1 value: 4.845 - type: recall_at_10 value: 17.88 - type: recall_at_100 value: 37.816 - type: recall_at_1000 value: 61.726000000000006 - type: recall_at_3 value: 10.045 - type: recall_at_5 value: 13.032 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 89.28408572731419 - type: f1 value: 88.36057445001192 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 59.366165070679436 - type: f1 value: 40.06121455563378 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 61.80228648285138 - type: f1 value: 59.56813863530079 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 68.55413584398117 - type: f1 value: 67.09171141857304 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 26.373735594129403 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 22.97944248268257 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 28.174012229019485 - type: mrr value: 28.972842705926528 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 2.814 - type: map_at_10 value: 5.412999999999999 - type: map_at_100 value: 7.0120000000000005 - type: map_at_1000 value: 8.187 - type: map_at_3 value: 4.289 - type: map_at_5 value: 4.825 - type: mrr_at_1 value: 29.102 - type: mrr_at_10 value: 36.876999999999995 - type: mrr_at_100 value: 37.506 - type: mrr_at_1000 value: 37.592 - type: mrr_at_3 value: 34.262 - type: mrr_at_5 value: 35.888 - type: ndcg_at_1 value: 27.089999999999996 - type: ndcg_at_10 value: 19.134999999999998 - type: ndcg_at_100 value: 18.29 - type: ndcg_at_1000 value: 27.842 - type: ndcg_at_3 value: 22.417 - type: ndcg_at_5 value: 21.081 - type: precision_at_1 value: 29.102 - type: precision_at_10 value: 14.302999999999999 - type: precision_at_100 value: 5.632000000000001 - type: precision_at_1000 value: 1.856 - type: precision_at_3 value: 21.156 - type: precision_at_5 value: 18.39 - type: recall_at_1 value: 2.814 - type: recall_at_10 value: 8.431 - type: recall_at_100 value: 19.332 - type: recall_at_1000 value: 53.879999999999995 - type: recall_at_3 value: 5.212 - type: recall_at_5 value: 6.364 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 7.423 - type: map_at_10 value: 12.638 - type: map_at_100 value: 13.672 - type: map_at_1000 value: 13.776 - type: map_at_3 value: 10.727 - type: map_at_5 value: 11.745 - type: mrr_at_1 value: 8.459 - type: mrr_at_10 value: 14.068 - type: mrr_at_100 value: 15.067 - type: mrr_at_1000 value: 15.155 - type: mrr_at_3 value: 12.065 - type: mrr_at_5 value: 13.142999999999999 - type: ndcg_at_1 value: 8.459 - type: ndcg_at_10 value: 16.152 - type: ndcg_at_100 value: 21.636 - type: ndcg_at_1000 value: 24.593 - type: ndcg_at_3 value: 12.16 - type: ndcg_at_5 value: 14.011000000000001 - type: precision_at_1 value: 8.459 - type: precision_at_10 value: 3.004 - type: precision_at_100 value: 0.615 - type: precision_at_1000 value: 0.09 - type: precision_at_3 value: 5.755 - type: precision_at_5 value: 4.460999999999999 - type: recall_at_1 value: 7.423 - type: recall_at_10 value: 25.698 - type: recall_at_100 value: 51.556999999999995 - type: recall_at_1000 value: 74.435 - type: recall_at_3 value: 15.015 - type: recall_at_5 value: 19.397000000000002 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 60.516999999999996 - type: map_at_10 value: 72.943 - type: map_at_100 value: 73.741 - type: map_at_1000 value: 73.78 - type: map_at_3 value: 70.025 - type: map_at_5 value: 71.786 - type: mrr_at_1 value: 69.82000000000001 - type: mrr_at_10 value: 77.402 - type: mrr_at_100 value: 77.694 - type: mrr_at_1000 value: 77.702 - type: mrr_at_3 value: 75.852 - type: mrr_at_5 value: 76.839 - type: ndcg_at_1 value: 69.78 - type: ndcg_at_10 value: 77.777 - type: ndcg_at_100 value: 80.148 - type: ndcg_at_1000 value: 80.64 - type: ndcg_at_3 value: 74.071 - type: ndcg_at_5 value: 75.974 - type: precision_at_1 value: 69.78 - type: precision_at_10 value: 11.776 - type: precision_at_100 value: 1.431 - type: precision_at_1000 value: 0.153 - type: precision_at_3 value: 32.11 - type: precision_at_5 value: 21.284 - type: recall_at_1 value: 60.516999999999996 - type: recall_at_10 value: 87.149 - type: recall_at_100 value: 96.33 - type: recall_at_1000 value: 99.236 - type: recall_at_3 value: 76.592 - type: recall_at_5 value: 81.828 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 24.96238867406633 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 42.15456565539958 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 2.545 - type: map_at_10 value: 5.84 - type: map_at_100 value: 6.984999999999999 - type: map_at_1000 value: 7.216 - type: map_at_3 value: 4.348 - type: map_at_5 value: 5.064 - type: mrr_at_1 value: 12.6 - type: mrr_at_10 value: 19.799 - type: mrr_at_100 value: 20.964 - type: mrr_at_1000 value: 21.067 - type: mrr_at_3 value: 17.349999999999998 - type: mrr_at_5 value: 18.77 - type: ndcg_at_1 value: 12.6 - type: ndcg_at_10 value: 10.683 - type: ndcg_at_100 value: 16.256 - type: ndcg_at_1000 value: 21.304000000000002 - type: ndcg_at_3 value: 10.167 - type: ndcg_at_5 value: 8.853 - type: precision_at_1 value: 12.6 - type: precision_at_10 value: 5.54 - type: precision_at_100 value: 1.3679999999999999 - type: precision_at_1000 value: 0.259 - type: precision_at_3 value: 9.467 - type: precision_at_5 value: 7.739999999999999 - type: recall_at_1 value: 2.545 - type: recall_at_10 value: 11.212 - type: recall_at_100 value: 27.785 - type: recall_at_1000 value: 52.588 - type: recall_at_3 value: 5.768 - type: recall_at_5 value: 7.843 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 76.14154775161344 - type: cos_sim_spearman value: 67.34346119954171 - type: euclidean_pearson value: 72.35899953785258 - type: euclidean_spearman value: 67.3437533363199 - type: manhattan_pearson value: 70.9274622484765 - type: manhattan_spearman value: 66.00500346801255 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 73.45319575935073 - type: cos_sim_spearman value: 66.85451568709998 - type: euclidean_pearson value: 69.91095676583507 - type: euclidean_spearman value: 66.8557417173495 - type: manhattan_pearson value: 70.79095833168148 - type: manhattan_spearman value: 68.07407266249538 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 76.69086874055675 - type: cos_sim_spearman value: 78.04733839857 - type: euclidean_pearson value: 77.63075897573337 - type: euclidean_spearman value: 78.04737621071355 - type: manhattan_pearson value: 77.94694857794688 - type: manhattan_spearman value: 78.45352622493287 - task: type: STS dataset: type: None name: MTEB STS14 config: default split: test revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 metrics: - 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type: euclidean_spearman value: 76.44127170482552 - type: manhattan_pearson value: 76.6332220160955 - type: manhattan_spearman value: 77.11730946641201 - task: type: STS dataset: type: None name: MTEB STS17 (en-en) config: en-en split: test revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d metrics: - type: cos_sim_pearson value: 82.86191718272701 - type: cos_sim_spearman value: 84.05759596682893 - type: euclidean_pearson value: 84.05247433515731 - type: euclidean_spearman value: 84.05847010074612 - type: manhattan_pearson value: 84.20796352611727 - type: manhattan_spearman value: 84.20823102579908 - task: type: STS dataset: type: None name: MTEB STS22 (en) config: en split: test revision: eea2b4fe26a775864c896887d910b76a8098ad3f metrics: - type: cos_sim_pearson value: 63.405232991348434 - type: cos_sim_spearman value: 61.017715202418366 - type: euclidean_pearson value: 63.436431062341434 - type: euclidean_spearman value: 61.017715202418366 - type: manhattan_pearson value: 63.6521277557926 - type: manhattan_spearman value: 61.73049790460205 - task: type: STS dataset: type: None name: MTEB STSBenchmark config: default split: test revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 metrics: - type: cos_sim_pearson value: 76.80795371667985 - type: cos_sim_spearman value: 75.43643133516306 - type: euclidean_pearson value: 76.87791904895818 - type: euclidean_spearman value: 75.4364797257313 - type: manhattan_pearson value: 76.89603534893224 - type: manhattan_spearman value: 75.44538808910046 - task: type: Reranking dataset: type: None name: MTEB SciDocsRR config: default split: test revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab metrics: - type: map value: 69.67746354273282 - type: mrr value: 89.80577701165936 - task: type: Retrieval dataset: type: None name: MTEB SciFact config: default split: test revision: 0228b52cf27578f30900b9e5271d331663a030d7 metrics: - type: map_at_1 value: 31.333 - type: map_at_10 value: 37.378 - type: map_at_100 value: 38.641999999999996 - type: map_at_1000 value: 38.719 - type: map_at_3 value: 35.06 - type: map_at_5 value: 36.64 - type: mrr_at_1 value: 33.667 - type: mrr_at_10 value: 39.324 - type: mrr_at_100 value: 40.449 - type: mrr_at_1000 value: 40.512 - type: mrr_at_3 value: 37.278 - type: mrr_at_5 value: 38.744 - type: ndcg_at_1 value: 33.667 - type: ndcg_at_10 value: 40.92 - type: ndcg_at_100 value: 46.938 - type: ndcg_at_1000 value: 48.811 - type: ndcg_at_3 value: 36.675999999999995 - type: ndcg_at_5 value: 39.31 - type: precision_at_1 value: 33.667 - type: precision_at_10 value: 5.633 - type: precision_at_100 value: 0.88 - type: precision_at_1000 value: 0.104 - type: precision_at_3 value: 14.222000000000001 - type: precision_at_5 value: 10.0 - type: recall_at_1 value: 31.333 - type: recall_at_10 value: 49.956 - type: recall_at_100 value: 77.683 - type: recall_at_1000 value: 92.133 - type: recall_at_3 value: 39.0 - type: recall_at_5 value: 45.317 - task: type: PairClassification dataset: type: None name: MTEB SprintDuplicateQuestions config: default split: test revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 metrics: - 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task: type: Clustering dataset: type: None name: MTEB StackExchangeClustering config: default split: test revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 metrics: - type: v_measure value: 31.564966710258002 - task: type: Clustering dataset: type: None name: MTEB StackExchangeClusteringP2P config: default split: test revision: 815ca46b2622cec33ccafc3735d572c266efdb44 metrics: - type: v_measure value: 28.902331000032934 - task: type: Reranking dataset: type: None name: MTEB StackOverflowDupQuestions config: default split: test revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 metrics: - type: map value: 42.84399261061117 - type: mrr value: 43.29435372633902 - task: type: Summarization dataset: type: None name: MTEB SummEval config: default split: test revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c metrics: - type: cos_sim_pearson value: 29.95259336062129 - type: cos_sim_spearman value: 29.305731756791836 - type: dot_pearson value: 29.95259337454406 - type: dot_spearman value: 29.33902263846769 - task: type: Retrieval dataset: type: None name: MTEB TRECCOVID config: default split: test revision: None metrics: - type: map_at_1 value: 0.13 - type: map_at_10 value: 0.653 - type: map_at_100 value: 3.5479999999999996 - type: map_at_1000 value: 8.239 - type: map_at_3 value: 0.27 - type: map_at_5 value: 0.387 - type: mrr_at_1 value: 46.0 - type: mrr_at_10 value: 58.477999999999994 - type: mrr_at_100 value: 59.079 - type: mrr_at_1000 value: 59.099000000000004 - type: mrr_at_3 value: 56.00000000000001 - type: mrr_at_5 value: 57.3 - type: ndcg_at_1 value: 42.0 - type: ndcg_at_10 value: 34.636 - type: ndcg_at_100 value: 26.856 - type: ndcg_at_1000 value: 24.409 - type: ndcg_at_3 value: 39.050000000000004 - type: ndcg_at_5 value: 36.541000000000004 - type: precision_at_1 value: 50.0 - type: precision_at_10 value: 37.2 - type: precision_at_100 value: 28.28 - type: precision_at_1000 value: 11.996 - type: precision_at_3 value: 44.0 - type: precision_at_5 value: 40.0 - type: recall_at_1 value: 0.13 - type: recall_at_10 value: 0.822 - type: recall_at_100 value: 6.015000000000001 - type: recall_at_1000 value: 23.772 - type: recall_at_3 value: 0.307 - type: recall_at_5 value: 0.453 - task: type: Retrieval dataset: type: None name: MTEB Touche2020 config: default split: test revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f metrics: - type: map_at_1 value: 2.537 - type: map_at_10 value: 8.591 - type: map_at_100 value: 14.328 - type: map_at_1000 value: 15.919 - type: map_at_3 value: 4.8500000000000005 - type: map_at_5 value: 6.389 - type: mrr_at_1 value: 34.694 - type: mrr_at_10 value: 46.553 - type: mrr_at_100 value: 47.515 - type: mrr_at_1000 value: 47.515 - type: mrr_at_3 value: 42.857 - type: mrr_at_5 value: 44.796 - type: ndcg_at_1 value: 33.672999999999995 - type: ndcg_at_10 value: 21.73 - type: ndcg_at_100 value: 34.699000000000005 - type: ndcg_at_1000 value: 46.143 - type: ndcg_at_3 value: 27.343 - type: ndcg_at_5 value: 24.11 - type: precision_at_1 value: 34.694 - type: precision_at_10 value: 18.776 - type: precision_at_100 value: 7.571 - type: precision_at_1000 value: 1.478 - type: precision_at_3 value: 27.211000000000002 - type: precision_at_5 value: 23.673 - type: recall_at_1 value: 2.537 - type: recall_at_10 value: 13.012 - type: recall_at_100 value: 45.891 - type: recall_at_1000 value: 80.739 - type: recall_at_3 value: 5.744 - type: recall_at_5 value: 8.278 - task: type: Classification dataset: type: None name: MTEB ToxicConversationsClassification config: default split: test revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c metrics: - type: accuracy value: 69.004 - type: ap value: 13.022449069209996 - type: f1 value: 52.831422157603235 - task: type: Classification dataset: type: None name: MTEB TweetSentimentExtractionClassification config: default split: test revision: d604517c81ca91fe16a244d1248fc021f9ecee7a metrics: - type: accuracy value: 53.55687606112054 - type: f1 value: 53.742471169925146 - task: type: Clustering dataset: type: None name: MTEB TwentyNewsgroupsClustering config: default split: test revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 metrics: - type: v_measure value: 30.854612368831237 - task: type: PairClassification dataset: type: None name: MTEB TwitterSemEval2015 config: default split: test revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 metrics: - type: cos_sim_accuracy value: 83.20915539130954 - type: cos_sim_ap value: 64.64935846149021 - type: cos_sim_f1 value: 61.74544588641505 - type: cos_sim_precision value: 56.25949229767846 - type: cos_sim_recall value: 68.41688654353561 - type: dot_accuracy value: 83.20915539130954 - type: dot_ap value: 64.64935846149021 - type: dot_f1 value: 61.74544588641505 - type: dot_precision value: 56.25949229767846 - type: dot_recall value: 68.41688654353561 - type: euclidean_accuracy value: 83.20915539130954 - type: euclidean_ap value: 64.64935846149021 - type: euclidean_f1 value: 61.74544588641505 - type: euclidean_precision value: 56.25949229767846 - type: euclidean_recall value: 68.41688654353561 - type: manhattan_accuracy value: 83.00649698992669 - type: manhattan_ap value: 63.241363240922475 - type: manhattan_f1 value: 60.10508778674869 - type: manhattan_precision value: 58.435085970595566 - type: manhattan_recall value: 61.87335092348285 - type: max_accuracy value: 83.20915539130954 - type: max_ap value: 64.64935846149021 - type: max_f1 value: 61.74544588641505 - task: type: PairClassification dataset: type: None name: MTEB TwitterURLCorpus config: default split: test revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy value: 87.33457523188575 - type: cos_sim_ap value: 82.48667288124405 - type: cos_sim_f1 value: 74.60564319040213 - type: cos_sim_precision value: 71.86474532743615 - type: cos_sim_recall value: 77.56390514320911 - type: dot_accuracy value: 87.33457523188575 - type: dot_ap value: 82.48667984460607 - type: dot_f1 value: 74.60564319040213 - type: dot_precision value: 71.86474532743615 - type: dot_recall value: 77.56390514320911 - type: euclidean_accuracy value: 87.33457523188575 - type: euclidean_ap value: 82.48667328332766 - type: euclidean_f1 value: 74.60564319040213 - type: euclidean_precision value: 71.86474532743615 - type: euclidean_recall value: 77.56390514320911 - type: manhattan_accuracy value: 87.28994450265843 - type: manhattan_ap value: 82.53662260997004 - type: manhattan_f1 value: 74.64819224940463 - type: manhattan_precision value: 70.24310742903708 - type: manhattan_recall value: 79.64274715121651 - type: max_accuracy value: 87.33457523188575 - type: max_ap value: 82.53662260997004 - type: max_f1 value: 74.64819224940463 ---