--- tags: - mteb model-index: - name: fasttext_main_lower results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 72.92537313432837 - type: ap value: 35.92406337485786 - type: f1 value: 67.02887091461996 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 63.944849999999995 - type: ap value: 59.63729279839117 - type: f1 value: 63.22827966847257 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 31.663999999999998 - type: f1 value: 31.01142901535539 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 14.651 - type: map_at_10 value: 24.84 - type: map_at_100 value: 25.907999999999998 - type: map_at_1000 value: 25.980999999999998 - type: map_at_3 value: 21.349 - type: map_at_5 value: 23.476 - type: mrr_at_1 value: 15.007000000000001 - type: mrr_at_10 value: 24.975 - type: mrr_at_100 value: 26.043 - type: mrr_at_1000 value: 26.116 - type: mrr_at_3 value: 21.55 - type: mrr_at_5 value: 23.624000000000002 - type: ndcg_at_1 value: 14.651 - type: ndcg_at_10 value: 30.675 - type: ndcg_at_100 value: 36.162 - type: ndcg_at_1000 value: 38.214 - type: ndcg_at_3 value: 23.571 - type: ndcg_at_5 value: 27.406000000000002 - type: precision_at_1 value: 14.651 - type: precision_at_10 value: 4.936 - type: precision_at_100 value: 0.757 - type: precision_at_1000 value: 0.092 - type: precision_at_3 value: 10.005 - type: precision_at_5 value: 7.866 - type: recall_at_1 value: 14.651 - type: recall_at_10 value: 49.36 - type: recall_at_100 value: 75.676 - type: recall_at_1000 value: 92.105 - type: recall_at_3 value: 30.014000000000003 - type: recall_at_5 value: 39.330999999999996 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 35.330404041952 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 28.88645728041347 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 50.148759855706025 - type: mrr value: 63.64430813876797 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 47.2456819755334 - type: cos_sim_spearman value: 56.87539232993938 - type: euclidean_pearson value: 51.27139431629815 - type: euclidean_spearman value: 56.87539232993938 - type: manhattan_pearson value: 54.61352629478075 - type: manhattan_spearman value: 58.84230461724967 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 60.3474025974026 - type: f1 value: 58.61279983720927 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 33.53819524955979 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 26.93233785618298 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 16.328 - type: map_at_10 value: 22.020999999999997 - type: map_at_100 value: 23.037 - type: map_at_1000 value: 23.188 - type: map_at_3 value: 20.252 - type: map_at_5 value: 21.401 - type: mrr_at_1 value: 21.316 - type: mrr_at_10 value: 26.795 - type: mrr_at_100 value: 27.626 - type: mrr_at_1000 value: 27.721 - type: mrr_at_3 value: 25.155 - type: mrr_at_5 value: 26.299 - type: ndcg_at_1 value: 21.316 - type: ndcg_at_10 value: 25.846000000000004 - type: ndcg_at_100 value: 30.654999999999998 - type: ndcg_at_1000 value: 34.049 - type: ndcg_at_3 value: 23.247 - type: ndcg_at_5 value: 24.745 - type: precision_at_1 value: 21.316 - type: precision_at_10 value: 4.95 - type: precision_at_100 value: 0.9339999999999999 - type: precision_at_1000 value: 0.152 - type: precision_at_3 value: 11.540000000000001 - type: precision_at_5 value: 8.469 - type: recall_at_1 value: 16.328 - type: recall_at_10 value: 32.345 - type: recall_at_100 value: 54.24099999999999 - type: recall_at_1000 value: 77.729 - type: recall_at_3 value: 24.11 - type: recall_at_5 value: 28.559 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 13.532 - type: map_at_10 value: 18.482000000000003 - type: map_at_100 value: 19.279 - type: map_at_1000 value: 19.39 - type: map_at_3 value: 16.875 - type: map_at_5 value: 17.83 - type: mrr_at_1 value: 17.516000000000002 - type: mrr_at_10 value: 22.781000000000002 - type: mrr_at_100 value: 23.439 - type: mrr_at_1000 value: 23.513 - type: mrr_at_3 value: 21.04 - type: mrr_at_5 value: 22.142 - type: ndcg_at_1 value: 17.516000000000002 - type: ndcg_at_10 value: 21.954 - type: ndcg_at_100 value: 25.662000000000003 - type: ndcg_at_1000 value: 28.519 - type: ndcg_at_3 value: 19.262999999999998 - type: ndcg_at_5 value: 20.676 - type: precision_at_1 value: 17.516000000000002 - type: precision_at_10 value: 4.274 - type: precision_at_100 value: 0.775 - type: precision_at_1000 value: 0.124 - type: precision_at_3 value: 9.447999999999999 - type: precision_at_5 value: 7.031999999999999 - type: recall_at_1 value: 13.532 - type: recall_at_10 value: 27.967 - type: recall_at_100 value: 44.232 - type: recall_at_1000 value: 64.457 - type: recall_at_3 value: 20.454 - type: recall_at_5 value: 24.022 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 18.844 - type: map_at_10 value: 25.446 - type: map_at_100 value: 26.412999999999997 - type: map_at_1000 value: 26.508 - type: map_at_3 value: 23.354 - type: map_at_5 value: 24.531 - type: mrr_at_1 value: 21.755 - type: mrr_at_10 value: 28.182000000000002 - type: mrr_at_100 value: 29.096 - type: mrr_at_1000 value: 29.168 - type: mrr_at_3 value: 26.155 - type: mrr_at_5 value: 27.349 - type: ndcg_at_1 value: 21.755 - type: ndcg_at_10 value: 29.421999999999997 - type: ndcg_at_100 value: 34.215 - type: ndcg_at_1000 value: 36.757 - type: ndcg_at_3 value: 25.374999999999996 - type: ndcg_at_5 value: 27.348 - type: precision_at_1 value: 21.755 - type: precision_at_10 value: 4.871 - type: precision_at_100 value: 0.788 - type: precision_at_1000 value: 0.108 - type: precision_at_3 value: 11.285 - type: precision_at_5 value: 8.025 - type: recall_at_1 value: 18.844 - type: recall_at_10 value: 38.932 - type: recall_at_100 value: 60.587 - type: recall_at_1000 value: 79.53099999999999 - type: recall_at_3 value: 28.072999999999997 - type: recall_at_5 value: 32.885 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 7.228999999999999 - type: map_at_10 value: 10.242999999999999 - type: map_at_100 value: 10.766 - type: map_at_1000 value: 10.864 - type: map_at_3 value: 9.231 - type: map_at_5 value: 9.782 - type: mrr_at_1 value: 7.91 - type: mrr_at_10 value: 11.044 - type: mrr_at_100 value: 11.600000000000001 - type: mrr_at_1000 value: 11.697000000000001 - type: mrr_at_3 value: 10.019 - type: mrr_at_5 value: 10.584 - type: ndcg_at_1 value: 7.91 - type: ndcg_at_10 value: 12.149000000000001 - type: ndcg_at_100 value: 15.177 - type: ndcg_at_1000 value: 18.240000000000002 - type: ndcg_at_3 value: 10.097000000000001 - type: ndcg_at_5 value: 11.058 - type: precision_at_1 value: 7.91 - type: precision_at_10 value: 1.966 - type: precision_at_100 value: 0.376 - type: precision_at_1000 value: 0.067 - type: precision_at_3 value: 4.331 - type: precision_at_5 value: 3.1189999999999998 - type: recall_at_1 value: 7.228999999999999 - type: recall_at_10 value: 17.360999999999997 - type: recall_at_100 value: 31.967000000000002 - type: recall_at_1000 value: 56.284 - type: recall_at_3 value: 11.692 - type: recall_at_5 value: 14.084 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 3.666 - type: map_at_10 value: 5.902 - type: map_at_100 value: 6.436 - type: map_at_1000 value: 6.529 - type: map_at_3 value: 5.0729999999999995 - type: map_at_5 value: 5.466 - type: mrr_at_1 value: 4.726 - type: mrr_at_10 value: 7.59 - type: mrr_at_100 value: 8.190999999999999 - type: mrr_at_1000 value: 8.275 - type: mrr_at_3 value: 6.426 - type: mrr_at_5 value: 6.973 - type: ndcg_at_1 value: 4.726 - type: ndcg_at_10 value: 7.707999999999999 - type: ndcg_at_100 value: 10.688 - type: ndcg_at_1000 value: 13.5 - type: ndcg_at_3 value: 5.865 - type: ndcg_at_5 value: 6.58 - type: precision_at_1 value: 4.726 - type: precision_at_10 value: 1.592 - type: precision_at_100 value: 0.356 - type: precision_at_1000 value: 0.06899999999999999 - type: precision_at_3 value: 2.861 - type: precision_at_5 value: 2.189 - type: recall_at_1 value: 3.666 - type: recall_at_10 value: 11.700000000000001 - type: recall_at_100 value: 25.474000000000004 - type: recall_at_1000 value: 46.483000000000004 - type: recall_at_3 value: 6.749 - type: recall_at_5 value: 8.461 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 12.57 - type: map_at_10 value: 16.923 - type: map_at_100 value: 17.78 - type: map_at_1000 value: 17.909 - type: map_at_3 value: 15.143 - type: map_at_5 value: 16.145 - type: mrr_at_1 value: 15.303 - type: mrr_at_10 value: 20.379 - type: mrr_at_100 value: 21.169 - type: mrr_at_1000 value: 21.257 - type: mrr_at_3 value: 18.479 - type: mrr_at_5 value: 19.548 - type: ndcg_at_1 value: 15.303 - type: ndcg_at_10 value: 20.308999999999997 - type: ndcg_at_100 value: 24.740000000000002 - type: ndcg_at_1000 value: 28.031 - type: ndcg_at_3 value: 17.03 - type: ndcg_at_5 value: 18.614 - type: precision_at_1 value: 15.303 - type: precision_at_10 value: 3.821 - type: precision_at_100 value: 0.741 - type: precision_at_1000 value: 0.12 - type: precision_at_3 value: 7.988 - type: precision_at_5 value: 5.987 - type: recall_at_1 value: 12.57 - type: recall_at_10 value: 27.267000000000003 - type: recall_at_100 value: 46.995 - type: recall_at_1000 value: 70.743 - type: recall_at_3 value: 18.13 - type: recall_at_5 value: 22.16 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 8.965 - type: map_at_10 value: 11.955 - type: map_at_100 value: 12.82 - type: map_at_1000 value: 12.937999999999999 - type: map_at_3 value: 10.545 - type: map_at_5 value: 11.39 - type: mrr_at_1 value: 11.073 - type: mrr_at_10 value: 14.684 - type: mrr_at_100 value: 15.487 - type: mrr_at_1000 value: 15.583 - type: mrr_at_3 value: 12.995000000000001 - type: mrr_at_5 value: 14.022000000000002 - type: ndcg_at_1 value: 11.073 - type: ndcg_at_10 value: 14.511 - type: ndcg_at_100 value: 19.187 - type: ndcg_at_1000 value: 22.643 - type: ndcg_at_3 value: 11.736 - type: ndcg_at_5 value: 13.184000000000001 - type: precision_at_1 value: 11.073 - type: precision_at_10 value: 2.705 - type: precision_at_100 value: 0.614 - type: precision_at_1000 value: 0.109 - type: precision_at_3 value: 5.4030000000000005 - type: precision_at_5 value: 4.224 - type: recall_at_1 value: 8.965 - type: recall_at_10 value: 19.739 - type: recall_at_100 value: 41.118 - type: recall_at_1000 value: 66.338 - type: recall_at_3 value: 12.456 - type: recall_at_5 value: 15.921 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 10.108083333333333 - type: map_at_10 value: 13.991999999999999 - type: map_at_100 value: 14.732333333333333 - type: map_at_1000 value: 14.844750000000001 - type: map_at_3 value: 12.643666666666666 - type: map_at_5 value: 13.403166666666666 - type: mrr_at_1 value: 12.410499999999999 - type: mrr_at_10 value: 16.612333333333332 - type: mrr_at_100 value: 17.314500000000002 - type: mrr_at_1000 value: 17.400916666666667 - type: mrr_at_3 value: 15.176250000000003 - type: mrr_at_5 value: 15.996083333333337 - type: ndcg_at_1 value: 12.410499999999999 - type: ndcg_at_10 value: 16.770000000000003 - type: ndcg_at_100 value: 20.619166666666665 - type: ndcg_at_1000 value: 23.642416666666666 - type: ndcg_at_3 value: 14.258999999999997 - type: ndcg_at_5 value: 15.456583333333333 - type: precision_at_1 value: 12.410499999999999 - type: precision_at_10 value: 3.072416666666667 - type: precision_at_100 value: 0.6025833333333332 - type: precision_at_1000 value: 0.10208333333333332 - type: precision_at_3 value: 6.697916666666666 - type: precision_at_5 value: 4.908416666666667 - type: recall_at_1 value: 10.108083333333333 - type: recall_at_10 value: 22.638333333333332 - type: recall_at_100 value: 40.4035 - type: recall_at_1000 value: 62.729666666666674 - type: recall_at_3 value: 15.552249999999997 - type: recall_at_5 value: 18.653 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 6.938999999999999 - type: map_at_10 value: 10.834000000000001 - type: map_at_100 value: 11.478 - type: map_at_1000 value: 11.552 - type: map_at_3 value: 9.661999999999999 - type: map_at_5 value: 10.316 - type: mrr_at_1 value: 8.436 - type: mrr_at_10 value: 12.531 - type: mrr_at_100 value: 13.165 - type: mrr_at_1000 value: 13.229 - type: mrr_at_3 value: 11.324 - type: mrr_at_5 value: 11.953 - type: ndcg_at_1 value: 8.436 - type: ndcg_at_10 value: 13.264999999999999 - type: ndcg_at_100 value: 16.637 - type: ndcg_at_1000 value: 18.681 - type: ndcg_at_3 value: 10.993 - type: ndcg_at_5 value: 12.033000000000001 - type: precision_at_1 value: 8.436 - type: precision_at_10 value: 2.408 - type: precision_at_100 value: 0.44600000000000006 - type: precision_at_1000 value: 0.067 - type: precision_at_3 value: 5.215 - type: precision_at_5 value: 3.804 - type: recall_at_1 value: 6.938999999999999 - type: recall_at_10 value: 19.154 - type: recall_at_100 value: 34.833 - type: recall_at_1000 value: 50.275999999999996 - type: recall_at_3 value: 12.740000000000002 - type: recall_at_5 value: 15.473999999999998 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 4.916 - type: map_at_10 value: 7.295 - type: map_at_100 value: 7.793 - type: map_at_1000 value: 7.886 - type: map_at_3 value: 6.462 - type: map_at_5 value: 6.927 - type: mrr_at_1 value: 6.607 - type: mrr_at_10 value: 9.322999999999999 - type: mrr_at_100 value: 9.847 - type: mrr_at_1000 value: 9.932 - type: mrr_at_3 value: 8.368 - type: mrr_at_5 value: 8.905000000000001 - type: ndcg_at_1 value: 6.607 - type: ndcg_at_10 value: 9.123000000000001 - type: ndcg_at_100 value: 11.846 - type: ndcg_at_1000 value: 14.732000000000001 - type: ndcg_at_3 value: 7.5520000000000005 - type: ndcg_at_5 value: 8.272 - type: precision_at_1 value: 6.607 - type: precision_at_10 value: 1.796 - type: precision_at_100 value: 0.379 - type: precision_at_1000 value: 0.074 - type: precision_at_3 value: 3.739 - type: precision_at_5 value: 2.815 - type: recall_at_1 value: 4.916 - type: recall_at_10 value: 12.773000000000001 - type: recall_at_100 value: 25.465 - type: recall_at_1000 value: 47.243 - type: recall_at_3 value: 8.272 - type: recall_at_5 value: 10.162 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 9.5 - type: map_at_10 value: 12.776000000000002 - type: map_at_100 value: 13.444 - type: map_at_1000 value: 13.547999999999998 - type: map_at_3 value: 11.858 - type: map_at_5 value: 12.231 - type: mrr_at_1 value: 11.66 - type: mrr_at_10 value: 15.454 - type: mrr_at_100 value: 16.137999999999998 - type: mrr_at_1000 value: 16.233 - type: mrr_at_3 value: 14.427999999999999 - type: mrr_at_5 value: 14.81 - type: ndcg_at_1 value: 11.66 - type: ndcg_at_10 value: 15.27 - type: ndcg_at_100 value: 18.965 - type: ndcg_at_1000 value: 22.177 - type: ndcg_at_3 value: 13.431000000000001 - type: ndcg_at_5 value: 13.944999999999999 - type: precision_at_1 value: 11.66 - type: precision_at_10 value: 2.603 - type: precision_at_100 value: 0.504 - type: precision_at_1000 value: 0.087 - type: precision_at_3 value: 6.281000000000001 - type: precision_at_5 value: 4.179 - type: recall_at_1 value: 9.5 - type: recall_at_10 value: 20.514 - type: recall_at_100 value: 37.724000000000004 - type: recall_at_1000 value: 62.098 - type: recall_at_3 value: 15.034 - type: recall_at_5 value: 16.506999999999998 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 12.277000000000001 - type: map_at_10 value: 16.07 - type: map_at_100 value: 16.958000000000002 - type: map_at_1000 value: 17.142 - type: map_at_3 value: 14.457999999999998 - type: map_at_5 value: 15.283 - type: mrr_at_1 value: 15.415000000000001 - type: mrr_at_10 value: 19.624 - type: mrr_at_100 value: 20.434 - type: mrr_at_1000 value: 20.525 - type: mrr_at_3 value: 18.083 - type: mrr_at_5 value: 18.903 - type: ndcg_at_1 value: 15.415000000000001 - type: ndcg_at_10 value: 19.429 - type: ndcg_at_100 value: 23.767 - type: ndcg_at_1000 value: 27.415 - type: ndcg_at_3 value: 16.73 - type: ndcg_at_5 value: 17.882 - type: precision_at_1 value: 15.415000000000001 - type: precision_at_10 value: 3.794 - type: precision_at_100 value: 0.8869999999999999 - type: precision_at_1000 value: 0.173 - type: precision_at_3 value: 7.971 - type: precision_at_5 value: 5.731 - type: recall_at_1 value: 12.277000000000001 - type: recall_at_10 value: 25.441999999999997 - type: recall_at_100 value: 46.048 - type: recall_at_1000 value: 71.329 - type: recall_at_3 value: 17.055999999999997 - type: recall_at_5 value: 20.53 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 6.531000000000001 - type: map_at_10 value: 9.957 - type: map_at_100 value: 10.584 - type: map_at_1000 value: 10.683 - type: map_at_3 value: 8.811 - type: map_at_5 value: 9.536 - type: mrr_at_1 value: 7.2090000000000005 - type: mrr_at_10 value: 10.961 - type: mrr_at_100 value: 11.582 - type: mrr_at_1000 value: 11.677999999999999 - type: mrr_at_3 value: 9.643 - type: mrr_at_5 value: 10.465 - type: ndcg_at_1 value: 7.2090000000000005 - type: ndcg_at_10 value: 12.254 - type: ndcg_at_100 value: 15.891 - type: ndcg_at_1000 value: 18.965 - type: ndcg_at_3 value: 9.789 - type: ndcg_at_5 value: 11.142000000000001 - type: precision_at_1 value: 7.2090000000000005 - type: precision_at_10 value: 2.089 - type: precision_at_100 value: 0.43099999999999994 - type: precision_at_1000 value: 0.075 - type: precision_at_3 value: 4.313000000000001 - type: precision_at_5 value: 3.327 - type: recall_at_1 value: 6.531000000000001 - type: recall_at_10 value: 18.465999999999998 - type: recall_at_100 value: 36.158 - type: recall_at_1000 value: 60.245000000000005 - type: recall_at_3 value: 11.860999999999999 - type: recall_at_5 value: 15.071000000000002 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 5.463 - type: map_at_10 value: 9.592 - type: map_at_100 value: 10.724 - type: map_at_1000 value: 10.892 - type: map_at_3 value: 7.866 - type: map_at_5 value: 8.658000000000001 - type: mrr_at_1 value: 12.899 - type: mrr_at_10 value: 20.073 - type: mrr_at_100 value: 21.05 - type: mrr_at_1000 value: 21.126 - type: mrr_at_3 value: 17.438000000000002 - type: mrr_at_5 value: 18.756999999999998 - type: ndcg_at_1 value: 12.899 - type: ndcg_at_10 value: 14.539 - type: ndcg_at_100 value: 19.903000000000002 - type: ndcg_at_1000 value: 23.485 - type: ndcg_at_3 value: 11.225999999999999 - type: ndcg_at_5 value: 12.232 - type: precision_at_1 value: 12.899 - type: precision_at_10 value: 4.8340000000000005 - type: precision_at_100 value: 1.053 - type: precision_at_1000 value: 0.16999999999999998 - type: precision_at_3 value: 8.512 - type: precision_at_5 value: 6.683999999999999 - type: recall_at_1 value: 5.463 - type: recall_at_10 value: 18.383 - type: recall_at_100 value: 37.592999999999996 - type: recall_at_1000 value: 58.12199999999999 - type: recall_at_3 value: 10.388 - type: recall_at_5 value: 13.197999999999999 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 2.386 - type: map_at_10 value: 5.118 - type: map_at_100 value: 6.997000000000001 - type: map_at_1000 value: 7.5520000000000005 - type: map_at_3 value: 3.8019999999999996 - type: map_at_5 value: 4.38 - type: mrr_at_1 value: 28.000000000000004 - type: mrr_at_10 value: 36.482 - type: mrr_at_100 value: 37.284 - type: mrr_at_1000 value: 37.338 - type: mrr_at_3 value: 33.875 - type: mrr_at_5 value: 35.3 - type: ndcg_at_1 value: 19.625 - type: ndcg_at_10 value: 14.543000000000001 - type: ndcg_at_100 value: 16.511 - type: ndcg_at_1000 value: 21.855 - type: ndcg_at_3 value: 16.842 - type: ndcg_at_5 value: 15.405 - type: precision_at_1 value: 28.000000000000004 - type: precision_at_10 value: 13.15 - type: precision_at_100 value: 4.192 - type: precision_at_1000 value: 0.918 - type: precision_at_3 value: 20.833 - type: precision_at_5 value: 16.950000000000003 - type: recall_at_1 value: 2.386 - type: recall_at_10 value: 8.482000000000001 - type: recall_at_100 value: 20.44 - type: recall_at_1000 value: 39.257 - type: recall_at_3 value: 4.739 - type: recall_at_5 value: 6.1370000000000005 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 32.865 - type: f1 value: 30.37449911679073 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 7.928 - type: map_at_10 value: 11.763 - type: map_at_100 value: 12.429 - type: map_at_1000 value: 12.499 - type: map_at_3 value: 10.452 - type: map_at_5 value: 11.162999999999998 - type: mrr_at_1 value: 8.371 - type: mrr_at_10 value: 12.357 - type: mrr_at_100 value: 13.061 - type: mrr_at_1000 value: 13.129 - type: mrr_at_3 value: 11.016 - type: mrr_at_5 value: 11.729000000000001 - type: ndcg_at_1 value: 8.371 - type: ndcg_at_10 value: 14.182 - type: ndcg_at_100 value: 17.771 - type: ndcg_at_1000 value: 19.872 - type: ndcg_at_3 value: 11.434999999999999 - type: ndcg_at_5 value: 12.708 - type: precision_at_1 value: 8.371 - type: precision_at_10 value: 2.283 - type: precision_at_100 value: 0.42100000000000004 - type: precision_at_1000 value: 0.062 - type: precision_at_3 value: 4.8500000000000005 - type: precision_at_5 value: 3.5700000000000003 - type: recall_at_1 value: 7.928 - type: recall_at_10 value: 21.287 - type: recall_at_100 value: 38.393 - type: recall_at_1000 value: 54.925000000000004 - type: recall_at_3 value: 13.725000000000001 - type: recall_at_5 value: 16.798 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 4.37 - type: map_at_10 value: 7.382 - type: map_at_100 value: 8.193 - type: map_at_1000 value: 8.349 - type: map_at_3 value: 6.361 - type: map_at_5 value: 6.814000000000001 - type: mrr_at_1 value: 8.642 - type: mrr_at_10 value: 13.352 - type: mrr_at_100 value: 14.288 - type: mrr_at_1000 value: 14.394000000000002 - type: mrr_at_3 value: 11.728 - type: mrr_at_5 value: 12.592999999999998 - type: ndcg_at_1 value: 8.642 - type: ndcg_at_10 value: 10.464 - type: ndcg_at_100 value: 14.921000000000001 - type: ndcg_at_1000 value: 19.106 - type: ndcg_at_3 value: 8.564 - type: ndcg_at_5 value: 9.186 - type: precision_at_1 value: 8.642 - type: precision_at_10 value: 2.978 - type: precision_at_100 value: 0.738 - type: precision_at_1000 value: 0.14300000000000002 - type: precision_at_3 value: 5.71 - type: precision_at_5 value: 4.352 - type: recall_at_1 value: 4.37 - type: recall_at_10 value: 13.794 - type: recall_at_100 value: 31.596000000000004 - type: recall_at_1000 value: 58.724 - type: recall_at_3 value: 8.401 - type: recall_at_5 value: 10.266 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 8.596 - type: map_at_10 value: 11.951 - type: map_at_100 value: 12.478 - type: map_at_1000 value: 12.558 - type: map_at_3 value: 10.870000000000001 - type: map_at_5 value: 11.476 - type: mrr_at_1 value: 17.191000000000003 - type: mrr_at_10 value: 21.662 - type: mrr_at_100 value: 22.249 - type: mrr_at_1000 value: 22.319 - type: mrr_at_3 value: 20.227 - type: mrr_at_5 value: 21.047 - type: ndcg_at_1 value: 17.191000000000003 - type: ndcg_at_10 value: 15.939 - type: ndcg_at_100 value: 18.711 - type: ndcg_at_1000 value: 20.942 - type: ndcg_at_3 value: 13.642999999999999 - type: ndcg_at_5 value: 14.767 - type: precision_at_1 value: 17.191000000000003 - type: precision_at_10 value: 3.633 - type: precision_at_100 value: 0.587 - type: precision_at_1000 value: 0.089 - type: precision_at_3 value: 8.643 - type: precision_at_5 value: 6.077 - type: recall_at_1 value: 8.596 - type: recall_at_10 value: 18.163 - type: recall_at_100 value: 29.359 - type: recall_at_1000 value: 44.348 - type: recall_at_3 value: 12.964 - type: recall_at_5 value: 15.192 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 63.91439999999999 - type: ap value: 59.096879955371705 - type: f1 value: 63.65122028830217 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 4.728000000000001 - type: map_at_10 value: 7.846 - type: map_at_100 value: 8.577 - type: map_at_1000 value: 8.669 - type: map_at_3 value: 6.601 - type: map_at_5 value: 7.239 - type: mrr_at_1 value: 4.857 - type: mrr_at_10 value: 8.056000000000001 - type: mrr_at_100 value: 8.792 - type: mrr_at_1000 value: 8.882 - type: mrr_at_3 value: 6.776999999999999 - type: mrr_at_5 value: 7.430000000000001 - type: ndcg_at_1 value: 4.842 - type: ndcg_at_10 value: 9.908999999999999 - type: ndcg_at_100 value: 14.008999999999999 - type: ndcg_at_1000 value: 16.833000000000002 - type: ndcg_at_3 value: 7.276000000000001 - type: ndcg_at_5 value: 8.434 - type: precision_at_1 value: 4.842 - type: precision_at_10 value: 1.699 - type: precision_at_100 value: 0.384 - type: precision_at_1000 value: 0.063 - type: precision_at_3 value: 3.114 - type: precision_at_5 value: 2.45 - type: recall_at_1 value: 4.728000000000001 - type: recall_at_10 value: 16.375 - type: recall_at_100 value: 36.644 - type: recall_at_1000 value: 59.394999999999996 - type: recall_at_3 value: 9.062000000000001 - type: recall_at_5 value: 11.866999999999999 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 85.20291837665299 - type: f1 value: 84.70904496376967 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 56.529867761057915 - type: f1 value: 37.68950362422533 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 56.38870208473436 - type: f1 value: 53.66913773017876 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 64.53597848016139 - type: f1 value: 62.79623963098659 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 27.17951777550973 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 25.59311527698471 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 28.965933039410707 - type: mrr value: 29.71860627679794 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 3.497 - type: map_at_10 value: 7.195 - type: map_at_100 value: 8.738999999999999 - type: map_at_1000 value: 9.934999999999999 - type: map_at_3 value: 5.572 - type: map_at_5 value: 6.311 - type: mrr_at_1 value: 26.935 - type: mrr_at_10 value: 38.634 - type: mrr_at_100 value: 39.236 - type: mrr_at_1000 value: 39.308 - type: mrr_at_3 value: 35.759 - type: mrr_at_5 value: 37.183 - type: ndcg_at_1 value: 25.697 - type: ndcg_at_10 value: 21.618000000000002 - type: ndcg_at_100 value: 20.832 - type: ndcg_at_1000 value: 30.742000000000004 - type: ndcg_at_3 value: 23.904 - type: ndcg_at_5 value: 22.922 - type: precision_at_1 value: 26.935 - type: precision_at_10 value: 15.851 - type: precision_at_100 value: 5.5329999999999995 - type: precision_at_1000 value: 1.886 - type: precision_at_3 value: 22.497 - type: precision_at_5 value: 19.752 - type: recall_at_1 value: 3.497 - type: recall_at_10 value: 11.411999999999999 - type: recall_at_100 value: 23.757 - type: recall_at_1000 value: 58.314 - type: recall_at_3 value: 6.814000000000001 - type: recall_at_5 value: 8.36 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 6.4430000000000005 - type: map_at_10 value: 10.884 - type: map_at_100 value: 11.689 - type: map_at_1000 value: 11.772 - type: map_at_3 value: 9.109 - type: map_at_5 value: 10.075000000000001 - type: mrr_at_1 value: 7.445 - type: mrr_at_10 value: 12.103 - type: mrr_at_100 value: 12.882 - type: mrr_at_1000 value: 12.956999999999999 - type: mrr_at_3 value: 10.294 - type: mrr_at_5 value: 11.292 - type: ndcg_at_1 value: 7.445 - type: ndcg_at_10 value: 13.949 - type: ndcg_at_100 value: 18.285999999999998 - type: ndcg_at_1000 value: 20.738 - type: ndcg_at_3 value: 10.302999999999999 - type: ndcg_at_5 value: 12.052 - type: precision_at_1 value: 7.445 - type: precision_at_10 value: 2.648 - type: precision_at_100 value: 0.516 - type: precision_at_1000 value: 0.075 - type: precision_at_3 value: 4.896 - type: precision_at_5 value: 3.9170000000000003 - type: recall_at_1 value: 6.4430000000000005 - type: recall_at_10 value: 22.296 - type: recall_at_100 value: 42.903000000000006 - type: recall_at_1000 value: 61.988 - type: recall_at_3 value: 12.617999999999999 - type: recall_at_5 value: 16.77 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 54.93599999999999 - type: map_at_10 value: 66.461 - type: map_at_100 value: 67.274 - type: map_at_1000 value: 67.31899999999999 - type: map_at_3 value: 63.742 - type: map_at_5 value: 65.347 - type: mrr_at_1 value: 63.28 - type: mrr_at_10 value: 71.163 - type: mrr_at_100 value: 71.53 - type: mrr_at_1000 value: 71.54599999999999 - type: mrr_at_3 value: 69.50699999999999 - type: mrr_at_5 value: 70.52000000000001 - type: ndcg_at_1 value: 63.33 - type: ndcg_at_10 value: 71.439 - type: ndcg_at_100 value: 74.154 - type: ndcg_at_1000 value: 74.90400000000001 - type: ndcg_at_3 value: 67.723 - type: ndcg_at_5 value: 69.549 - type: precision_at_1 value: 63.33 - type: precision_at_10 value: 10.81 - type: precision_at_100 value: 1.3390000000000002 - type: precision_at_1000 value: 0.147 - type: precision_at_3 value: 29.38 - type: precision_at_5 value: 19.432 - type: recall_at_1 value: 54.93599999999999 - type: recall_at_10 value: 81.259 - type: recall_at_100 value: 92.15100000000001 - type: recall_at_1000 value: 96.994 - type: recall_at_3 value: 70.499 - type: recall_at_5 value: 75.575 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 28.528725482087307 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 39.02529299655054 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 2.078 - type: map_at_10 value: 5.050000000000001 - type: map_at_100 value: 6.0440000000000005 - type: map_at_1000 value: 6.261 - type: map_at_3 value: 3.763 - type: map_at_5 value: 4.376 - type: mrr_at_1 value: 10.2 - type: mrr_at_10 value: 17.36 - type: mrr_at_100 value: 18.403 - type: mrr_at_1000 value: 18.52 - type: mrr_at_3 value: 14.899999999999999 - type: mrr_at_5 value: 16.13 - type: ndcg_at_1 value: 10.2 - type: ndcg_at_10 value: 9.398 - type: ndcg_at_100 value: 14.48 - type: ndcg_at_1000 value: 19.551 - type: ndcg_at_3 value: 8.790000000000001 - type: ndcg_at_5 value: 7.669 - type: precision_at_1 value: 10.2 - type: precision_at_10 value: 4.9399999999999995 - type: precision_at_100 value: 1.25 - type: precision_at_1000 value: 0.248 - type: precision_at_3 value: 8.267 - type: precision_at_5 value: 6.74 - type: recall_at_1 value: 2.078 - type: recall_at_10 value: 10.025 - type: recall_at_100 value: 25.346999999999998 - type: recall_at_1000 value: 50.393 - type: recall_at_3 value: 5.038 - type: recall_at_5 value: 6.851999999999999 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 70.69485438461535 - type: cos_sim_spearman value: 60.7079462281202 - type: euclidean_pearson value: 66.34648734074841 - type: euclidean_spearman value: 60.70819668068561 - type: manhattan_pearson value: 67.08589891209486 - type: manhattan_spearman value: 61.037259945651165 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 62.63440086574824 - type: cos_sim_spearman value: 57.22862459567004 - type: euclidean_pearson value: 61.33135391980671 - type: euclidean_spearman value: 57.2287396395971 - type: manhattan_pearson value: 63.538353299276665 - type: manhattan_spearman value: 59.31604272847601 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 66.99729287299299 - type: cos_sim_spearman value: 69.20264774948375 - type: euclidean_pearson value: 68.83879433164682 - 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