--- tags: - mteb model-index: - name: nomic_classification_nignore50 results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 73.34328358208954 - type: ap value: 35.68453876944336 - type: f1 value: 67.06992889373645 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 59.672925 - type: ap value: 55.848120844301974 - type: f1 value: 59.45636290076794 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 30.610000000000003 - type: f1 value: 30.300316542261875 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 20.697 - type: map_at_10 value: 35.189 - type: map_at_100 value: 36.4 - type: map_at_1000 value: 36.425000000000004 - type: map_at_3 value: 30.714000000000002 - type: map_at_5 value: 32.918 - type: mrr_at_1 value: 21.337 - type: mrr_at_10 value: 35.424 - type: mrr_at_100 value: 36.634 - type: mrr_at_1000 value: 36.659000000000006 - type: mrr_at_3 value: 30.927 - type: mrr_at_5 value: 33.132 - type: ndcg_at_1 value: 20.697 - type: ndcg_at_10 value: 43.525999999999996 - type: ndcg_at_100 value: 48.978 - type: ndcg_at_1000 value: 49.527 - type: ndcg_at_3 value: 34.087 - type: ndcg_at_5 value: 38.080999999999996 - type: precision_at_1 value: 20.697 - type: precision_at_10 value: 7.034 - type: precision_at_100 value: 0.9490000000000001 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 14.628 - type: precision_at_5 value: 10.725 - type: recall_at_1 value: 20.697 - type: recall_at_10 value: 70.341 - type: recall_at_100 value: 94.879 - type: recall_at_1000 value: 99.004 - type: recall_at_3 value: 43.883 - 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: 35.49094114007186 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 24.389506327986794 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 54.325008936884444 - type: mrr value: 69.04992745020445 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 83.44469574569193 - type: cos_sim_spearman value: 80.2397801250519 - type: euclidean_pearson value: 82.22256751323195 - type: euclidean_spearman value: 80.2397801250519 - type: manhattan_pearson value: 81.55829597082581 - type: manhattan_spearman value: 79.90603758074258 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 71.56818181818181 - type: f1 value: 70.79234518018967 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 32.120028817225204 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 23.27141125132152 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 22.482 - type: map_at_10 value: 29.986 - type: map_at_100 value: 31.19 - type: map_at_1000 value: 31.339 - type: map_at_3 value: 27.869 - type: map_at_5 value: 28.83 - type: mrr_at_1 value: 28.326 - type: mrr_at_10 value: 35.675000000000004 - type: mrr_at_100 value: 36.559000000000005 - type: mrr_at_1000 value: 36.632999999999996 - type: mrr_at_3 value: 34.049 - type: mrr_at_5 value: 34.8 - type: ndcg_at_1 value: 28.326 - type: ndcg_at_10 value: 34.788000000000004 - type: ndcg_at_100 value: 40.162 - type: ndcg_at_1000 value: 43.145 - type: ndcg_at_3 value: 31.903 - type: ndcg_at_5 value: 32.74 - type: precision_at_1 value: 28.326 - type: precision_at_10 value: 6.552 - type: precision_at_100 value: 1.146 - type: precision_at_1000 value: 0.17099999999999999 - type: precision_at_3 value: 15.451 - type: precision_at_5 value: 10.644 - type: recall_at_1 value: 22.482 - type: recall_at_10 value: 42.995 - type: recall_at_100 value: 66.79899999999999 - type: recall_at_1000 value: 87.02600000000001 - type: recall_at_3 value: 33.495999999999995 - type: recall_at_5 value: 36.7 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 17.147000000000002 - type: map_at_10 value: 23.28 - type: map_at_100 value: 24.191 - type: map_at_1000 value: 24.309 - type: map_at_3 value: 21.542 - type: map_at_5 value: 22.486 - type: mrr_at_1 value: 21.529 - type: mrr_at_10 value: 27.366 - type: mrr_at_100 value: 28.138 - type: mrr_at_1000 value: 28.206999999999997 - type: mrr_at_3 value: 25.668999999999997 - type: mrr_at_5 value: 26.653 - type: ndcg_at_1 value: 21.529 - type: ndcg_at_10 value: 27.107999999999997 - type: ndcg_at_100 value: 31.381999999999998 - type: ndcg_at_1000 value: 34.050000000000004 - type: ndcg_at_3 value: 24.101 - type: ndcg_at_5 value: 25.465 - type: precision_at_1 value: 21.529 - type: precision_at_10 value: 4.9430000000000005 - type: precision_at_100 value: 0.8829999999999999 - type: precision_at_1000 value: 0.136 - type: precision_at_3 value: 11.591999999999999 - type: precision_at_5 value: 8.153 - type: recall_at_1 value: 17.147000000000002 - type: recall_at_10 value: 34.510000000000005 - type: recall_at_100 value: 53.337999999999994 - type: recall_at_1000 value: 71.25200000000001 - type: recall_at_3 value: 25.711000000000002 - type: recall_at_5 value: 29.448999999999998 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 25.628 - type: map_at_10 value: 34.53 - type: map_at_100 value: 35.648 - type: map_at_1000 value: 35.746 - type: map_at_3 value: 32.001000000000005 - type: map_at_5 value: 33.516 - type: mrr_at_1 value: 29.842999999999996 - type: mrr_at_10 value: 37.679 - type: mrr_at_100 value: 38.607 - type: mrr_at_1000 value: 38.671 - type: mrr_at_3 value: 35.528 - type: mrr_at_5 value: 36.747 - type: ndcg_at_1 value: 29.842999999999996 - type: ndcg_at_10 value: 39.271 - type: ndcg_at_100 value: 44.507000000000005 - type: ndcg_at_1000 value: 46.79 - type: ndcg_at_3 value: 34.699999999999996 - type: ndcg_at_5 value: 37.032 - type: precision_at_1 value: 29.842999999999996 - type: precision_at_10 value: 6.3759999999999994 - type: precision_at_100 value: 0.989 - type: precision_at_1000 value: 0.126 - type: precision_at_3 value: 15.507000000000001 - type: precision_at_5 value: 10.871 - type: recall_at_1 value: 25.628 - type: recall_at_10 value: 50.552 - type: recall_at_100 value: 74.008 - type: recall_at_1000 value: 90.518 - type: recall_at_3 value: 38.397 - type: recall_at_5 value: 44.052 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 13.07 - type: map_at_10 value: 17.630000000000003 - type: map_at_100 value: 18.502 - type: map_at_1000 value: 18.614 - type: map_at_3 value: 16.213 - type: map_at_5 value: 17.029 - type: mrr_at_1 value: 14.124 - type: mrr_at_10 value: 18.706999999999997 - type: mrr_at_100 value: 19.604 - type: mrr_at_1000 value: 19.705000000000002 - type: mrr_at_3 value: 17.326 - type: mrr_at_5 value: 18.099999999999998 - type: ndcg_at_1 value: 14.124 - type: ndcg_at_10 value: 20.368 - type: ndcg_at_100 value: 25.020999999999997 - type: ndcg_at_1000 value: 28.360000000000003 - type: ndcg_at_3 value: 17.518 - type: ndcg_at_5 value: 18.914 - type: precision_at_1 value: 14.124 - type: precision_at_10 value: 3.164 - type: precision_at_100 value: 0.577 - type: precision_at_1000 value: 0.092 - type: precision_at_3 value: 7.457999999999999 - type: precision_at_5 value: 5.266 - type: recall_at_1 value: 13.07 - type: recall_at_10 value: 27.811000000000003 - type: recall_at_100 value: 49.874 - type: recall_at_1000 value: 75.786 - type: recall_at_3 value: 20.06 - type: recall_at_5 value: 23.397000000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 6.646000000000001 - type: map_at_10 value: 10.141 - type: map_at_100 value: 10.9 - type: map_at_1000 value: 11.036999999999999 - type: map_at_3 value: 8.781 - type: map_at_5 value: 9.581000000000001 - type: mrr_at_1 value: 8.333 - type: mrr_at_10 value: 12.504000000000001 - type: mrr_at_100 value: 13.331000000000001 - type: mrr_at_1000 value: 13.435 - type: mrr_at_3 value: 11.007 - type: mrr_at_5 value: 11.909 - type: ndcg_at_1 value: 8.333 - type: ndcg_at_10 value: 12.796 - type: ndcg_at_100 value: 17.115 - type: ndcg_at_1000 value: 20.84 - type: ndcg_at_3 value: 10.171 - type: ndcg_at_5 value: 11.496 - type: precision_at_1 value: 8.333 - type: precision_at_10 value: 2.5 - type: precision_at_100 value: 0.5519999999999999 - type: precision_at_1000 value: 0.101 - type: precision_at_3 value: 5.017 - type: precision_at_5 value: 3.955 - type: recall_at_1 value: 6.646000000000001 - type: recall_at_10 value: 18.725 - type: recall_at_100 value: 38.590999999999994 - type: recall_at_1000 value: 65.955 - type: recall_at_3 value: 11.376999999999999 - type: recall_at_5 value: 14.673 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 17.865000000000002 - type: map_at_10 value: 23.877000000000002 - type: map_at_100 value: 25.058000000000003 - type: map_at_1000 value: 25.202999999999996 - type: map_at_3 value: 21.861 - type: map_at_5 value: 22.958000000000002 - type: mrr_at_1 value: 22.137 - type: mrr_at_10 value: 28.391 - type: mrr_at_100 value: 29.364 - type: mrr_at_1000 value: 29.454 - type: mrr_at_3 value: 26.372 - type: mrr_at_5 value: 27.551 - type: ndcg_at_1 value: 22.137 - type: ndcg_at_10 value: 28.183999999999997 - type: ndcg_at_100 value: 33.806000000000004 - type: ndcg_at_1000 value: 37.099 - type: ndcg_at_3 value: 24.621000000000002 - type: ndcg_at_5 value: 26.235000000000003 - type: precision_at_1 value: 22.137 - type: precision_at_10 value: 5.178 - type: precision_at_100 value: 0.9440000000000001 - type: precision_at_1000 value: 0.14100000000000001 - type: precision_at_3 value: 11.613999999999999 - type: precision_at_5 value: 8.373 - type: recall_at_1 value: 17.865000000000002 - type: recall_at_10 value: 36.885 - type: recall_at_100 value: 61.49400000000001 - type: recall_at_1000 value: 84.309 - type: recall_at_3 value: 26.51 - type: recall_at_5 value: 30.788 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 13.691999999999998 - type: map_at_10 value: 19.463 - type: map_at_100 value: 20.558 - type: map_at_1000 value: 20.703 - type: map_at_3 value: 17.277 - type: map_at_5 value: 18.607000000000003 - type: mrr_at_1 value: 16.895 - type: mrr_at_10 value: 22.939999999999998 - type: mrr_at_100 value: 23.902 - type: mrr_at_1000 value: 23.993000000000002 - type: mrr_at_3 value: 20.89 - type: mrr_at_5 value: 22.158 - type: ndcg_at_1 value: 16.895 - type: ndcg_at_10 value: 23.308 - type: ndcg_at_100 value: 28.675 - type: ndcg_at_1000 value: 32.156 - type: ndcg_at_3 value: 19.53 - type: ndcg_at_5 value: 21.519 - type: precision_at_1 value: 16.895 - type: precision_at_10 value: 4.417999999999999 - type: precision_at_100 value: 0.844 - type: precision_at_1000 value: 0.134 - type: precision_at_3 value: 9.399000000000001 - type: precision_at_5 value: 7.146 - type: recall_at_1 value: 13.691999999999998 - type: recall_at_10 value: 31.424000000000003 - type: recall_at_100 value: 55.223 - type: recall_at_1000 value: 79.842 - type: recall_at_3 value: 20.949 - type: recall_at_5 value: 26.166 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 14.61475 - type: map_at_10 value: 19.97075 - type: map_at_100 value: 20.916083333333333 - type: map_at_1000 value: 21.046 - type: map_at_3 value: 18.229250000000004 - type: map_at_5 value: 19.20266666666667 - type: mrr_at_1 value: 17.608083333333333 - type: mrr_at_10 value: 23.027083333333334 - type: mrr_at_100 value: 23.87941666666667 - type: mrr_at_1000 value: 23.96783333333333 - type: mrr_at_3 value: 21.377083333333335 - type: mrr_at_5 value: 22.300833333333333 - type: ndcg_at_1 value: 17.608083333333333 - type: ndcg_at_10 value: 23.473083333333335 - type: ndcg_at_100 value: 28.176750000000002 - type: ndcg_at_1000 value: 31.36625 - type: ndcg_at_3 value: 20.38383333333334 - type: ndcg_at_5 value: 21.82283333333333 - type: precision_at_1 value: 17.608083333333333 - type: precision_at_10 value: 4.162666666666666 - type: precision_at_100 value: 0.7761666666666668 - type: precision_at_1000 value: 0.12325000000000001 - type: precision_at_3 value: 9.466000000000001 - type: precision_at_5 value: 6.79 - type: recall_at_1 value: 14.61475 - type: recall_at_10 value: 31.009500000000003 - type: recall_at_100 value: 52.470000000000006 - type: recall_at_1000 value: 75.52175 - type: recall_at_3 value: 22.22875 - type: recall_at_5 value: 26.018083333333337 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 11.016 - type: map_at_10 value: 15.293999999999999 - type: map_at_100 value: 16.08 - type: map_at_1000 value: 16.177 - type: map_at_3 value: 13.898 - type: map_at_5 value: 14.637 - type: mrr_at_1 value: 12.883 - type: mrr_at_10 value: 17.279 - type: mrr_at_100 value: 18.082 - type: mrr_at_1000 value: 18.169 - type: mrr_at_3 value: 15.9 - type: mrr_at_5 value: 16.667 - type: ndcg_at_1 value: 12.883 - type: ndcg_at_10 value: 18.073 - type: ndcg_at_100 value: 22.142 - type: ndcg_at_1000 value: 24.887999999999998 - type: ndcg_at_3 value: 15.405 - type: ndcg_at_5 value: 16.622999999999998 - type: precision_at_1 value: 12.883 - type: precision_at_10 value: 3.052 - type: precision_at_100 value: 0.5519999999999999 - type: precision_at_1000 value: 0.086 - type: precision_at_3 value: 7.0040000000000004 - type: precision_at_5 value: 4.939 - type: recall_at_1 value: 11.016 - type: recall_at_10 value: 24.72 - type: recall_at_100 value: 43.553999999999995 - type: recall_at_1000 value: 64.189 - type: recall_at_3 value: 17.308 - type: recall_at_5 value: 20.455000000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 7.148000000000001 - type: map_at_10 value: 10.878 - type: map_at_100 value: 11.547 - type: map_at_1000 value: 11.67 - type: map_at_3 value: 9.679 - type: map_at_5 value: 10.41 - type: mrr_at_1 value: 8.878 - type: mrr_at_10 value: 13.142999999999999 - type: mrr_at_100 value: 13.825999999999999 - type: mrr_at_1000 value: 13.927999999999999 - type: mrr_at_3 value: 11.786000000000001 - type: mrr_at_5 value: 12.623999999999999 - type: ndcg_at_1 value: 8.878 - type: ndcg_at_10 value: 13.414000000000001 - type: ndcg_at_100 value: 17.129 - type: ndcg_at_1000 value: 20.754 - type: ndcg_at_3 value: 11.135 - type: ndcg_at_5 value: 12.333 - type: precision_at_1 value: 8.878 - type: precision_at_10 value: 2.564 - type: precision_at_100 value: 0.525 - type: precision_at_1000 value: 0.1 - type: precision_at_3 value: 5.448 - type: precision_at_5 value: 4.136 - type: recall_at_1 value: 7.148000000000001 - type: recall_at_10 value: 18.875 - type: recall_at_100 value: 36.321999999999996 - type: recall_at_1000 value: 63.273999999999994 - type: recall_at_3 value: 12.590000000000002 - type: recall_at_5 value: 15.6 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 13.178 - type: map_at_10 value: 17.538 - type: map_at_100 value: 18.343999999999998 - type: map_at_1000 value: 18.462999999999997 - type: map_at_3 value: 15.984000000000002 - type: map_at_5 value: 16.78 - type: mrr_at_1 value: 15.672 - type: mrr_at_10 value: 20.385 - type: mrr_at_100 value: 21.160999999999998 - type: mrr_at_1000 value: 21.252 - type: mrr_at_3 value: 18.766 - type: mrr_at_5 value: 19.554 - type: ndcg_at_1 value: 15.672 - type: ndcg_at_10 value: 20.785 - type: ndcg_at_100 value: 25.089 - type: ndcg_at_1000 value: 28.396 - type: ndcg_at_3 value: 17.701 - type: ndcg_at_5 value: 18.968 - type: precision_at_1 value: 15.672 - type: precision_at_10 value: 3.5069999999999997 - type: precision_at_100 value: 0.633 - type: precision_at_1000 value: 0.10300000000000001 - type: precision_at_3 value: 8.022 - type: precision_at_5 value: 5.634 - type: recall_at_1 value: 13.178 - type: recall_at_10 value: 28.227999999999998 - type: recall_at_100 value: 48.022999999999996 - type: recall_at_1000 value: 72.475 - type: recall_at_3 value: 19.425 - type: recall_at_5 value: 22.783 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 15.662999999999998 - type: map_at_10 value: 21.191 - type: map_at_100 value: 22.436 - type: map_at_1000 value: 22.634999999999998 - type: map_at_3 value: 19.493 - type: map_at_5 value: 20.543 - type: mrr_at_1 value: 19.368 - type: mrr_at_10 value: 24.866 - type: mrr_at_100 value: 25.875999999999998 - type: mrr_at_1000 value: 25.958 - type: mrr_at_3 value: 23.551 - type: mrr_at_5 value: 24.233 - type: ndcg_at_1 value: 19.368 - type: ndcg_at_10 value: 24.869 - type: ndcg_at_100 value: 30.54 - type: ndcg_at_1000 value: 33.994 - type: ndcg_at_3 value: 22.522000000000002 - type: ndcg_at_5 value: 23.674 - type: precision_at_1 value: 19.368 - type: precision_at_10 value: 4.704 - type: precision_at_100 value: 1.1400000000000001 - type: precision_at_1000 value: 0.2 - type: precision_at_3 value: 10.671999999999999 - type: precision_at_5 value: 7.668 - type: recall_at_1 value: 15.662999999999998 - type: recall_at_10 value: 31.03 - type: recall_at_100 value: 57.861 - type: recall_at_1000 value: 81.179 - type: recall_at_3 value: 23.843 - type: recall_at_5 value: 27.223999999999997 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 11.842 - type: map_at_10 value: 15.841 - type: map_at_100 value: 16.539 - type: map_at_1000 value: 16.656000000000002 - type: map_at_3 value: 14.152999999999999 - type: map_at_5 value: 15.055 - type: mrr_at_1 value: 13.309000000000001 - type: mrr_at_10 value: 17.39 - type: mrr_at_100 value: 18.102999999999998 - type: mrr_at_1000 value: 18.209 - type: mrr_at_3 value: 15.681000000000001 - type: mrr_at_5 value: 16.614 - type: ndcg_at_1 value: 13.309000000000001 - type: ndcg_at_10 value: 18.712999999999997 - type: ndcg_at_100 value: 22.553 - type: ndcg_at_1000 value: 25.923000000000002 - type: ndcg_at_3 value: 15.299 - type: ndcg_at_5 value: 16.875 - type: precision_at_1 value: 13.309000000000001 - type: precision_at_10 value: 2.994 - type: precision_at_100 value: 0.529 - type: precision_at_1000 value: 0.089 - type: precision_at_3 value: 6.4079999999999995 - type: precision_at_5 value: 4.695 - type: recall_at_1 value: 11.842 - type: recall_at_10 value: 26.358999999999998 - type: recall_at_100 value: 44.553 - type: recall_at_1000 value: 70.456 - type: recall_at_3 value: 17.079 - type: recall_at_5 value: 20.93 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 6.841 - type: map_at_10 value: 11.955 - type: map_at_100 value: 13.322000000000001 - type: map_at_1000 value: 13.517000000000001 - type: map_at_3 value: 9.818 - type: map_at_5 value: 10.875 - type: mrr_at_1 value: 15.504999999999999 - type: mrr_at_10 value: 24.087 - type: mrr_at_100 value: 25.149 - type: mrr_at_1000 value: 25.221 - type: mrr_at_3 value: 20.923 - type: mrr_at_5 value: 22.64 - type: ndcg_at_1 value: 15.504999999999999 - type: ndcg_at_10 value: 17.787 - type: ndcg_at_100 value: 24.032 - type: ndcg_at_1000 value: 28.058 - type: ndcg_at_3 value: 13.729 - type: ndcg_at_5 value: 15.165999999999999 - type: precision_at_1 value: 15.504999999999999 - type: precision_at_10 value: 5.811 - type: precision_at_100 value: 1.246 - type: precision_at_1000 value: 0.197 - type: precision_at_3 value: 10.228 - type: precision_at_5 value: 8.155999999999999 - type: recall_at_1 value: 6.841 - type: recall_at_10 value: 22.451999999999998 - type: recall_at_100 value: 44.588 - type: recall_at_1000 value: 67.806 - type: recall_at_3 value: 12.824 - type: recall_at_5 value: 16.59 - 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: 10.209 - type: map_at_100 value: 14.172 - type: map_at_1000 value: 15.121 - type: map_at_3 value: 7.59 - type: map_at_5 value: 8.853 - type: mrr_at_1 value: 41.75 - type: mrr_at_10 value: 51.949 - type: mrr_at_100 value: 52.678000000000004 - type: mrr_at_1000 value: 52.708 - type: mrr_at_3 value: 49.542 - type: mrr_at_5 value: 51.054 - type: ndcg_at_1 value: 31.125000000000004 - type: ndcg_at_10 value: 24.581 - type: ndcg_at_100 value: 27.894999999999996 - type: ndcg_at_1000 value: 34.438 - type: ndcg_at_3 value: 27.877999999999997 - type: ndcg_at_5 value: 26.273000000000003 - type: precision_at_1 value: 41.75 - type: precision_at_10 value: 21.15 - type: precision_at_100 value: 6.787999999999999 - type: precision_at_1000 value: 1.394 - type: precision_at_3 value: 32.917 - type: precision_at_5 value: 28.000000000000004 - type: recall_at_1 value: 4.601999999999999 - type: recall_at_10 value: 14.434 - type: recall_at_100 value: 33.838 - type: recall_at_1000 value: 56.438 - type: recall_at_3 value: 9.073 - type: recall_at_5 value: 11.395 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 43.364999999999995 - type: f1 value: 41.05024359810464 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 17.078 - type: map_at_10 value: 25.590000000000003 - type: map_at_100 value: 26.581 - type: map_at_1000 value: 26.651000000000003 - type: map_at_3 value: 23.113 - type: map_at_5 value: 24.457 - type: mrr_at_1 value: 18.257 - type: mrr_at_10 value: 27.171 - type: mrr_at_100 value: 28.147 - type: mrr_at_1000 value: 28.206999999999997 - type: mrr_at_3 value: 24.607 - type: mrr_at_5 value: 26.005 - type: ndcg_at_1 value: 18.257 - type: ndcg_at_10 value: 30.617 - type: ndcg_at_100 value: 35.625 - type: ndcg_at_1000 value: 37.566 - type: ndcg_at_3 value: 25.488 - type: ndcg_at_5 value: 27.897 - type: precision_at_1 value: 18.257 - type: precision_at_10 value: 4.877 - type: precision_at_100 value: 0.76 - type: precision_at_1000 value: 0.095 - type: precision_at_3 value: 11.081000000000001 - type: precision_at_5 value: 7.933 - type: recall_at_1 value: 17.078 - type: recall_at_10 value: 44.866 - type: recall_at_100 value: 68.148 - type: recall_at_1000 value: 83.134 - type: recall_at_3 value: 30.830999999999996 - type: recall_at_5 value: 36.629 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 7.515 - type: map_at_10 value: 11.788 - type: map_at_100 value: 12.974 - type: map_at_1000 value: 13.177 - type: map_at_3 value: 9.844 - type: map_at_5 value: 10.8 - type: mrr_at_1 value: 14.352 - type: mrr_at_10 value: 20.134 - type: mrr_at_100 value: 21.288 - type: mrr_at_1000 value: 21.384 - type: mrr_at_3 value: 18.133 - type: mrr_at_5 value: 19.097 - type: ndcg_at_1 value: 14.352 - type: ndcg_at_10 value: 16.203 - type: ndcg_at_100 value: 21.891 - type: ndcg_at_1000 value: 26.653 - type: ndcg_at_3 value: 13.369 - type: ndcg_at_5 value: 14.327000000000002 - type: precision_at_1 value: 14.352 - type: precision_at_10 value: 4.645 - type: precision_at_100 value: 1.028 - type: precision_at_1000 value: 0.185 - type: precision_at_3 value: 8.796 - type: precision_at_5 value: 6.728000000000001 - type: recall_at_1 value: 7.515 - type: recall_at_10 value: 21.018 - type: recall_at_100 value: 42.887 - type: recall_at_1000 value: 72.898 - type: recall_at_3 value: 12.215 - type: recall_at_5 value: 15.612 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 18.332 - type: map_at_10 value: 25.791999999999998 - type: map_at_100 value: 26.706999999999997 - type: map_at_1000 value: 26.810000000000002 - type: map_at_3 value: 23.742 - type: map_at_5 value: 24.903 - type: mrr_at_1 value: 36.664 - type: mrr_at_10 value: 44.067 - type: mrr_at_100 value: 44.756 - type: mrr_at_1000 value: 44.806000000000004 - type: mrr_at_3 value: 42.091 - type: mrr_at_5 value: 43.206 - type: ndcg_at_1 value: 36.664 - type: ndcg_at_10 value: 32.938 - type: ndcg_at_100 value: 37.184 - type: ndcg_at_1000 value: 39.723000000000006 - type: ndcg_at_3 value: 29.087000000000003 - type: ndcg_at_5 value: 30.986000000000004 - type: precision_at_1 value: 36.664 - type: precision_at_10 value: 7.245 - type: precision_at_100 value: 1.0670000000000002 - type: precision_at_1000 value: 0.14100000000000001 - type: precision_at_3 value: 18.37 - type: precision_at_5 value: 12.527 - type: recall_at_1 value: 18.332 - type: recall_at_10 value: 36.226 - type: recall_at_100 value: 53.342 - type: recall_at_1000 value: 70.42500000000001 - type: recall_at_3 value: 27.556000000000004 - type: recall_at_5 value: 31.317 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 58.64719999999999 - type: ap value: 55.19966477229678 - type: f1 value: 58.24961396114563 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 6.459 - type: map_at_10 value: 11.254999999999999 - type: map_at_100 value: 12.132 - type: map_at_1000 value: 12.237 - type: map_at_3 value: 9.522 - type: map_at_5 value: 10.456999999999999 - type: mrr_at_1 value: 6.633 - type: mrr_at_10 value: 11.518 - type: mrr_at_100 value: 12.395 - type: mrr_at_1000 value: 12.497 - type: mrr_at_3 value: 9.751999999999999 - type: mrr_at_5 value: 10.708 - type: ndcg_at_1 value: 6.59 - type: ndcg_at_10 value: 14.264 - type: ndcg_at_100 value: 19.070999999999998 - type: ndcg_at_1000 value: 22.235 - type: ndcg_at_3 value: 10.631 - type: ndcg_at_5 value: 12.339 - type: precision_at_1 value: 6.59 - type: precision_at_10 value: 2.461 - type: precision_at_100 value: 0.496 - type: precision_at_1000 value: 0.077 - type: precision_at_3 value: 4.6850000000000005 - type: precision_at_5 value: 3.6790000000000003 - type: recall_at_1 value: 6.459 - type: recall_at_10 value: 23.649 - type: recall_at_100 value: 47.13 - type: recall_at_1000 value: 72.51100000000001 - type: recall_at_3 value: 13.641 - type: recall_at_5 value: 17.787 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 85.75695394436845 - type: f1 value: 84.39448911327825 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 54.072047423620596 - type: f1 value: 36.95943939246465 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 58.78614660390047 - type: f1 value: 57.44347017992026 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 64.28379287155346 - type: f1 value: 62.76816678345901 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 29.671378352049466 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 25.86783118767072 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 29.346696390536565 - type: mrr value: 30.303238754879626 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 3.9190000000000005 - type: map_at_10 value: 8.742999999999999 - type: map_at_100 value: 11.073 - type: map_at_1000 value: 12.447999999999999 - type: map_at_3 value: 6.2379999999999995 - type: map_at_5 value: 7.443 - type: mrr_at_1 value: 34.365 - type: mrr_at_10 value: 44.238 - type: mrr_at_100 value: 44.857 - type: mrr_at_1000 value: 44.91 - type: mrr_at_3 value: 41.744 - type: mrr_at_5 value: 43.478 - type: ndcg_at_1 value: 32.353 - type: ndcg_at_10 value: 26.695 - type: ndcg_at_100 value: 24.728 - type: ndcg_at_1000 value: 34.013 - type: ndcg_at_3 value: 30.268 - type: ndcg_at_5 value: 28.95 - type: precision_at_1 value: 34.365 - type: precision_at_10 value: 20.31 - type: precision_at_100 value: 6.984999999999999 - type: precision_at_1000 value: 2.019 - type: precision_at_3 value: 28.896 - type: precision_at_5 value: 25.697 - type: recall_at_1 value: 3.9190000000000005 - type: recall_at_10 value: 13.046 - type: recall_at_100 value: 26.08 - type: recall_at_1000 value: 60.207 - type: recall_at_3 value: 7.255000000000001 - type: recall_at_5 value: 9.853000000000002 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 8.408 - type: map_at_10 value: 15.064 - type: map_at_100 value: 16.282 - type: map_at_1000 value: 16.384999999999998 - type: map_at_3 value: 12.605 - type: map_at_5 value: 13.866 - type: mrr_at_1 value: 9.589 - type: mrr_at_10 value: 16.598 - type: mrr_at_100 value: 17.716 - type: mrr_at_1000 value: 17.8 - type: mrr_at_3 value: 14.021 - type: mrr_at_5 value: 15.39 - type: ndcg_at_1 value: 9.589 - type: ndcg_at_10 value: 19.408 - type: ndcg_at_100 value: 25.549 - type: ndcg_at_1000 value: 28.344 - type: ndcg_at_3 value: 14.258000000000001 - type: ndcg_at_5 value: 16.549 - type: precision_at_1 value: 9.589 - type: precision_at_10 value: 3.711 - type: precision_at_100 value: 0.717 - type: precision_at_1000 value: 0.098 - type: precision_at_3 value: 6.769 - type: precision_at_5 value: 5.359 - type: recall_at_1 value: 8.408 - type: recall_at_10 value: 31.442999999999998 - type: recall_at_100 value: 59.931 - type: recall_at_1000 value: 81.40899999999999 - type: recall_at_3 value: 17.654 - type: recall_at_5 value: 22.982 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 64.35600000000001 - type: map_at_10 value: 77.12400000000001 - type: map_at_100 value: 77.873 - type: map_at_1000 value: 77.905 - type: map_at_3 value: 74.18599999999999 - type: map_at_5 value: 76.00099999999999 - type: mrr_at_1 value: 74.22 - type: mrr_at_10 value: 81.326 - type: mrr_at_100 value: 81.54 - type: mrr_at_1000 value: 81.545 - type: mrr_at_3 value: 79.912 - type: mrr_at_5 value: 80.833 - type: ndcg_at_1 value: 74.26 - type: ndcg_at_10 value: 81.709 - type: ndcg_at_100 value: 83.688 - type: ndcg_at_1000 value: 84.029 - type: ndcg_at_3 value: 78.214 - type: ndcg_at_5 value: 80.07 - type: precision_at_1 value: 74.26 - type: precision_at_10 value: 12.334 - type: precision_at_100 value: 1.463 - type: precision_at_1000 value: 0.155 - type: precision_at_3 value: 33.977000000000004 - type: precision_at_5 value: 22.442 - type: recall_at_1 value: 64.35600000000001 - type: recall_at_10 value: 90.50200000000001 - type: recall_at_100 value: 97.833 - type: recall_at_1000 value: 99.681 - type: recall_at_3 value: 80.426 - type: recall_at_5 value: 85.627 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 36.774788977863864 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 46.77683019813603 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 2.988 - type: map_at_10 value: 7.183000000000001 - type: map_at_100 value: 8.522 - type: map_at_1000 value: 8.769 - type: map_at_3 value: 5.29 - type: map_at_5 value: 6.249 - type: mrr_at_1 value: 14.7 - type: mrr_at_10 value: 22.526 - type: mrr_at_100 value: 23.749000000000002 - type: mrr_at_1000 value: 23.827 - type: mrr_at_3 value: 19.617 - type: mrr_at_5 value: 21.322 - type: ndcg_at_1 value: 14.7 - type: ndcg_at_10 value: 12.666 - type: ndcg_at_100 value: 18.999 - type: ndcg_at_1000 value: 24.060000000000002 - type: ndcg_at_3 value: 11.908000000000001 - type: ndcg_at_5 value: 10.517999999999999 - type: precision_at_1 value: 14.7 - type: precision_at_10 value: 6.59 - type: precision_at_100 value: 1.592 - type: precision_at_1000 value: 0.28200000000000003 - type: precision_at_3 value: 11.1 - type: precision_at_5 value: 9.28 - type: recall_at_1 value: 2.988 - type: recall_at_10 value: 13.361999999999998 - type: recall_at_100 value: 32.312999999999995 - type: recall_at_1000 value: 57.293000000000006 - type: recall_at_3 value: 6.768000000000001 - type: recall_at_5 value: 9.408 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 74.41889076801608 - type: cos_sim_spearman value: 64.0943040174807 - type: euclidean_pearson value: 68.82034211304835 - type: euclidean_spearman value: 64.09442214998937 - type: manhattan_pearson value: 67.28965034113492 - type: manhattan_spearman value: 63.44420264246327 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 74.19404151109595 - type: cos_sim_spearman value: 67.74306846452986 - type: euclidean_pearson value: 70.18395120349778 - type: euclidean_spearman value: 67.74435929212751 - type: manhattan_pearson value: 68.00233535704764 - type: manhattan_spearman value: 66.49484254678912 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 76.87296571665527 - type: cos_sim_spearman value: 77.89561218206916 - type: euclidean_pearson value: 77.69387561554153 - 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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: 75.87657339764795 - type: cos_sim_spearman value: 76.85063393951995 - type: euclidean_pearson value: 76.4294473355708 - type: euclidean_spearman value: 76.85118422928095 - type: manhattan_pearson value: 76.64930860894692 - type: manhattan_spearman value: 77.10013496496948 - task: type: STS dataset: type: None name: MTEB STS17 (en-en) config: en-en split: test revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d metrics: - type: cos_sim_pearson value: 83.34326345648941 - type: cos_sim_spearman value: 83.88446362725742 - type: euclidean_pearson value: 83.46533085232362 - type: euclidean_spearman value: 83.8853378609005 - type: manhattan_pearson value: 83.1484584186202 - type: manhattan_spearman value: 83.95137720105474 - task: type: STS dataset: type: None name: MTEB STS22 (en) config: en split: test revision: eea2b4fe26a775864c896887d910b76a8098ad3f metrics: - 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