--- tags: - mteb model-index: - name: mpnet_main_noabtt results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 68.01492537313432 - type: ap value: 29.926088215432827 - type: f1 value: 61.543829186658314 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 66.03607500000001 - type: ap value: 60.89551858560106 - type: f1 value: 65.80068648160709 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 34.78199999999999 - type: f1 value: 34.250938954862356 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 21.266 - type: map_at_10 value: 35.196 - type: map_at_100 value: 36.387 - type: map_at_1000 value: 36.416 - type: map_at_3 value: 30.773 - type: map_at_5 value: 33.163 - type: mrr_at_1 value: 22.048000000000002 - type: mrr_at_10 value: 35.481 - type: mrr_at_100 value: 36.665 - type: mrr_at_1000 value: 36.693999999999996 - type: mrr_at_3 value: 31.069000000000003 - type: mrr_at_5 value: 33.455 - type: ndcg_at_1 value: 21.266 - type: ndcg_at_10 value: 43.114000000000004 - type: ndcg_at_100 value: 48.61 - type: ndcg_at_1000 value: 49.334 - type: ndcg_at_3 value: 33.951 - type: ndcg_at_5 value: 38.257999999999996 - type: precision_at_1 value: 21.266 - type: precision_at_10 value: 6.848999999999999 - type: precision_at_100 value: 0.935 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 14.391000000000002 - type: precision_at_5 value: 10.725 - type: recall_at_1 value: 21.266 - type: recall_at_10 value: 68.49199999999999 - type: recall_at_100 value: 93.528 - type: recall_at_1000 value: 99.14699999999999 - type: recall_at_3 value: 43.172 - 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: 36.01511495124908 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 26.77906639415867 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 54.32809895348082 - type: mrr value: 68.93109967902211 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 78.61413947741643 - type: cos_sim_spearman value: 75.72702669649405 - type: euclidean_pearson value: 77.72961558201939 - type: euclidean_spearman value: 75.72702669649405 - type: manhattan_pearson value: 78.63299657922013 - type: manhattan_spearman value: 77.19874697762698 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 72.92857142857143 - type: f1 value: 72.1661081571387 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 33.19795849293594 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 25.13940168273952 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 22.384999999999998 - type: map_at_10 value: 29.628 - type: map_at_100 value: 30.781 - type: map_at_1000 value: 30.933 - type: map_at_3 value: 26.889000000000003 - type: map_at_5 value: 28.388999999999996 - type: mrr_at_1 value: 28.183000000000003 - type: mrr_at_10 value: 34.952 - type: mrr_at_100 value: 35.774 - type: mrr_at_1000 value: 35.843 - type: mrr_at_3 value: 32.499 - type: mrr_at_5 value: 33.829 - type: ndcg_at_1 value: 28.183000000000003 - type: ndcg_at_10 value: 34.614 - type: ndcg_at_100 value: 39.737 - type: ndcg_at_1000 value: 42.742999999999995 - type: ndcg_at_3 value: 30.328 - type: ndcg_at_5 value: 32.23 - type: precision_at_1 value: 28.183000000000003 - type: precision_at_10 value: 6.723999999999999 - type: precision_at_100 value: 1.172 - type: precision_at_1000 value: 0.181 - type: precision_at_3 value: 14.402000000000001 - type: precision_at_5 value: 10.587 - type: recall_at_1 value: 22.384999999999998 - type: recall_at_10 value: 43.537 - type: recall_at_100 value: 66.37100000000001 - type: recall_at_1000 value: 86.978 - type: recall_at_3 value: 30.874000000000002 - type: recall_at_5 value: 36.358000000000004 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 15.145 - type: map_at_10 value: 20.992 - type: map_at_100 value: 21.951999999999998 - type: map_at_1000 value: 22.076999999999998 - type: map_at_3 value: 19.211 - type: map_at_5 value: 20.233999999999998 - type: mrr_at_1 value: 19.363 - type: mrr_at_10 value: 24.97 - type: mrr_at_100 value: 25.818 - type: mrr_at_1000 value: 25.895000000000003 - type: mrr_at_3 value: 23.238 - type: mrr_at_5 value: 24.288999999999998 - type: ndcg_at_1 value: 19.363 - type: ndcg_at_10 value: 24.665 - type: ndcg_at_100 value: 29.122999999999998 - type: ndcg_at_1000 value: 32.06 - type: ndcg_at_3 value: 21.729000000000003 - type: ndcg_at_5 value: 23.148 - type: precision_at_1 value: 19.363 - type: precision_at_10 value: 4.643 - type: precision_at_100 value: 0.864 - type: precision_at_1000 value: 0.13699999999999998 - type: precision_at_3 value: 10.51 - type: precision_at_5 value: 7.617999999999999 - type: recall_at_1 value: 15.145 - type: recall_at_10 value: 31.653 - type: recall_at_100 value: 51.344 - type: recall_at_1000 value: 71.352 - type: recall_at_3 value: 22.892000000000003 - type: recall_at_5 value: 26.878999999999998 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 24.68 - type: map_at_10 value: 33.0 - type: map_at_100 value: 34.095 - type: map_at_1000 value: 34.193 - type: map_at_3 value: 30.444 - type: map_at_5 value: 31.691999999999997 - type: mrr_at_1 value: 28.527 - type: mrr_at_10 value: 36.162 - type: mrr_at_100 value: 37.064 - type: mrr_at_1000 value: 37.124 - type: mrr_at_3 value: 33.866 - type: mrr_at_5 value: 35.026 - type: ndcg_at_1 value: 28.527 - type: ndcg_at_10 value: 37.893 - type: ndcg_at_100 value: 43.082 - type: ndcg_at_1000 value: 45.366 - type: ndcg_at_3 value: 33.062000000000005 - type: ndcg_at_5 value: 35.007 - type: precision_at_1 value: 28.527 - type: precision_at_10 value: 6.276 - type: precision_at_100 value: 0.966 - type: precision_at_1000 value: 0.125 - type: precision_at_3 value: 14.879999999999999 - type: precision_at_5 value: 10.206999999999999 - type: recall_at_1 value: 24.68 - type: recall_at_10 value: 49.8 - type: recall_at_100 value: 73.27900000000001 - type: recall_at_1000 value: 89.761 - type: recall_at_3 value: 36.428 - type: recall_at_5 value: 41.284 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 12.674 - type: map_at_10 value: 17.466 - type: map_at_100 value: 18.309 - type: map_at_1000 value: 18.415 - type: map_at_3 value: 16.072 - type: map_at_5 value: 16.835 - type: mrr_at_1 value: 13.672 - type: mrr_at_10 value: 18.602 - type: mrr_at_100 value: 19.434 - type: mrr_at_1000 value: 19.526 - type: mrr_at_3 value: 17.213 - type: mrr_at_5 value: 17.942 - type: ndcg_at_1 value: 13.672 - type: ndcg_at_10 value: 20.339 - type: ndcg_at_100 value: 24.979000000000003 - type: ndcg_at_1000 value: 28.186 - type: ndcg_at_3 value: 17.5 - type: ndcg_at_5 value: 18.791 - type: precision_at_1 value: 13.672 - type: precision_at_10 value: 3.209 - type: precision_at_100 value: 0.5890000000000001 - type: precision_at_1000 value: 0.091 - type: precision_at_3 value: 7.571 - type: precision_at_5 value: 5.311 - type: recall_at_1 value: 12.674 - type: recall_at_10 value: 28.096 - type: recall_at_100 value: 50.444 - type: recall_at_1000 value: 75.581 - type: recall_at_3 value: 20.330000000000002 - type: recall_at_5 value: 23.384 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 6.537 - type: map_at_10 value: 9.889000000000001 - type: map_at_100 value: 10.775 - type: map_at_1000 value: 10.902000000000001 - type: map_at_3 value: 8.639 - type: map_at_5 value: 9.264 - type: mrr_at_1 value: 8.706 - type: mrr_at_10 value: 12.606 - type: mrr_at_100 value: 13.455 - type: mrr_at_1000 value: 13.557 - type: mrr_at_3 value: 11.111 - type: mrr_at_5 value: 11.801 - type: ndcg_at_1 value: 8.706 - type: ndcg_at_10 value: 12.617999999999999 - type: ndcg_at_100 value: 17.34 - type: ndcg_at_1000 value: 20.905 - type: ndcg_at_3 value: 10.027999999999999 - type: ndcg_at_5 value: 11.063 - type: precision_at_1 value: 8.706 - type: precision_at_10 value: 2.45 - type: precision_at_100 value: 0.573 - type: precision_at_1000 value: 0.10200000000000001 - type: precision_at_3 value: 4.934 - type: precision_at_5 value: 3.6319999999999997 - type: recall_at_1 value: 6.537 - type: recall_at_10 value: 18.593 - type: recall_at_100 value: 39.922999999999995 - type: recall_at_1000 value: 66.08000000000001 - type: recall_at_3 value: 11.27 - type: recall_at_5 value: 13.996 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 18.319 - type: map_at_10 value: 24.237000000000002 - type: map_at_100 value: 25.406000000000002 - type: map_at_1000 value: 25.554 - type: map_at_3 value: 22.032 - type: map_at_5 value: 23.258000000000003 - type: mrr_at_1 value: 22.522000000000002 - type: mrr_at_10 value: 28.764 - type: mrr_at_100 value: 29.692 - type: mrr_at_1000 value: 29.781999999999996 - type: mrr_at_3 value: 26.468000000000004 - type: mrr_at_5 value: 27.801 - type: ndcg_at_1 value: 22.522000000000002 - type: ndcg_at_10 value: 28.549999999999997 - type: ndcg_at_100 value: 34.126 - type: ndcg_at_1000 value: 37.471 - type: ndcg_at_3 value: 24.643 - type: ndcg_at_5 value: 26.537 - type: precision_at_1 value: 22.522000000000002 - type: precision_at_10 value: 5.2940000000000005 - type: precision_at_100 value: 0.97 - type: precision_at_1000 value: 0.146 - type: precision_at_3 value: 11.485 - type: precision_at_5 value: 8.508000000000001 - type: recall_at_1 value: 18.319 - type: recall_at_10 value: 37.061 - type: recall_at_100 value: 61.68 - type: recall_at_1000 value: 84.885 - type: recall_at_3 value: 26.117 - type: recall_at_5 value: 30.939 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 12.307 - type: map_at_10 value: 17.764 - type: map_at_100 value: 18.843 - type: map_at_1000 value: 18.983 - type: map_at_3 value: 15.774 - type: map_at_5 value: 16.872999999999998 - type: mrr_at_1 value: 15.753 - type: mrr_at_10 value: 21.42 - type: mrr_at_100 value: 22.351 - type: mrr_at_1000 value: 22.448999999999998 - type: mrr_at_3 value: 19.368 - type: mrr_at_5 value: 20.527 - type: ndcg_at_1 value: 15.753 - type: ndcg_at_10 value: 21.573 - type: ndcg_at_100 value: 26.994 - type: ndcg_at_1000 value: 30.407 - type: ndcg_at_3 value: 17.968 - type: ndcg_at_5 value: 19.669 - type: precision_at_1 value: 15.753 - type: precision_at_10 value: 4.144 - type: precision_at_100 value: 0.826 - type: precision_at_1000 value: 0.129 - type: precision_at_3 value: 8.638 - type: precision_at_5 value: 6.575 - type: recall_at_1 value: 12.307 - type: recall_at_10 value: 29.615000000000002 - type: recall_at_100 value: 53.729000000000006 - type: recall_at_1000 value: 77.751 - type: recall_at_3 value: 19.584 - type: recall_at_5 value: 23.923 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 13.978749999999998 - type: map_at_10 value: 19.17908333333333 - type: map_at_100 value: 20.128416666666666 - type: map_at_1000 value: 20.25808333333333 - type: map_at_3 value: 17.398 - type: map_at_5 value: 18.342999999999996 - type: mrr_at_1 value: 17.03141666666667 - type: mrr_at_10 value: 22.300083333333333 - type: mrr_at_100 value: 23.13458333333334 - type: mrr_at_1000 value: 23.222583333333333 - type: mrr_at_3 value: 20.495749999999997 - type: mrr_at_5 value: 21.48033333333333 - type: ndcg_at_1 value: 17.03141666666667 - type: ndcg_at_10 value: 22.739833333333337 - type: ndcg_at_100 value: 27.511749999999996 - type: ndcg_at_1000 value: 30.706333333333337 - type: ndcg_at_3 value: 19.47566666666667 - type: ndcg_at_5 value: 20.91025 - type: precision_at_1 value: 17.03141666666667 - type: precision_at_10 value: 4.118166666666667 - type: precision_at_100 value: 0.7796666666666667 - type: precision_at_1000 value: 0.12458333333333332 - type: precision_at_3 value: 9.0545 - type: precision_at_5 value: 6.56175 - type: recall_at_1 value: 13.978749999999998 - type: recall_at_10 value: 30.441333333333333 - type: recall_at_100 value: 52.37841666666667 - type: recall_at_1000 value: 75.46725 - type: recall_at_3 value: 21.12483333333333 - type: recall_at_5 value: 24.88366666666667 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 10.685 - type: map_at_10 value: 14.92 - type: map_at_100 value: 15.620000000000001 - type: map_at_1000 value: 15.702 - type: map_at_3 value: 13.327 - type: map_at_5 value: 14.148 - type: mrr_at_1 value: 12.73 - type: mrr_at_10 value: 16.999 - type: mrr_at_100 value: 17.727999999999998 - type: mrr_at_1000 value: 17.799 - type: mrr_at_3 value: 15.440000000000001 - type: mrr_at_5 value: 16.299 - type: ndcg_at_1 value: 12.73 - type: ndcg_at_10 value: 17.892 - type: ndcg_at_100 value: 21.819 - type: ndcg_at_1000 value: 24.238 - type: ndcg_at_3 value: 14.865999999999998 - type: ndcg_at_5 value: 16.157 - type: precision_at_1 value: 12.73 - type: precision_at_10 value: 3.16 - type: precision_at_100 value: 0.563 - type: precision_at_1000 value: 0.084 - type: precision_at_3 value: 6.902 - type: precision_at_5 value: 5.031 - type: recall_at_1 value: 10.685 - type: recall_at_10 value: 25.291999999999998 - type: recall_at_100 value: 43.815 - type: recall_at_1000 value: 62.278 - type: recall_at_3 value: 16.481 - type: recall_at_5 value: 19.869 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 7.295 - type: map_at_10 value: 10.568 - type: map_at_100 value: 11.224 - type: map_at_1000 value: 11.354000000000001 - type: map_at_3 value: 9.41 - type: map_at_5 value: 10.055 - type: mrr_at_1 value: 9.36 - type: mrr_at_10 value: 12.956000000000001 - type: mrr_at_100 value: 13.628000000000002 - type: mrr_at_1000 value: 13.735 - type: mrr_at_3 value: 11.608 - type: mrr_at_5 value: 12.367 - type: ndcg_at_1 value: 9.36 - type: ndcg_at_10 value: 12.992 - type: ndcg_at_100 value: 16.681 - type: ndcg_at_1000 value: 20.355 - type: ndcg_at_3 value: 10.756 - type: ndcg_at_5 value: 11.805 - type: precision_at_1 value: 9.36 - type: precision_at_10 value: 2.46 - type: precision_at_100 value: 0.523 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 5.1499999999999995 - type: precision_at_5 value: 3.882 - type: recall_at_1 value: 7.295 - type: recall_at_10 value: 18.109 - type: recall_at_100 value: 35.382000000000005 - type: recall_at_1000 value: 62.734 - type: recall_at_3 value: 11.906 - type: recall_at_5 value: 14.524999999999999 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 12.784999999999998 - type: map_at_10 value: 16.897000000000002 - type: map_at_100 value: 17.804000000000002 - type: map_at_1000 value: 17.925 - type: map_at_3 value: 15.494 - type: map_at_5 value: 16.223000000000003 - type: mrr_at_1 value: 15.485 - type: mrr_at_10 value: 20.007 - type: mrr_at_100 value: 20.882 - type: mrr_at_1000 value: 20.979 - type: mrr_at_3 value: 18.392 - type: mrr_at_5 value: 19.320999999999998 - type: ndcg_at_1 value: 15.485 - type: ndcg_at_10 value: 19.993 - type: ndcg_at_100 value: 24.945999999999998 - type: ndcg_at_1000 value: 28.233000000000004 - type: ndcg_at_3 value: 17.19 - type: ndcg_at_5 value: 18.404999999999998 - type: precision_at_1 value: 15.485 - type: precision_at_10 value: 3.3680000000000003 - type: precision_at_100 value: 0.654 - type: precision_at_1000 value: 0.106 - type: precision_at_3 value: 7.805 - type: precision_at_5 value: 5.56 - type: recall_at_1 value: 12.784999999999998 - type: recall_at_10 value: 26.740000000000002 - type: recall_at_100 value: 49.907000000000004 - type: recall_at_1000 value: 73.85000000000001 - type: recall_at_3 value: 18.741 - type: recall_at_5 value: 21.894 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 15.253 - type: map_at_10 value: 20.666999999999998 - type: map_at_100 value: 21.809 - type: map_at_1000 value: 22.012 - type: map_at_3 value: 18.754 - type: map_at_5 value: 19.743 - type: mrr_at_1 value: 19.17 - type: mrr_at_10 value: 24.614 - type: mrr_at_100 value: 25.487 - type: mrr_at_1000 value: 25.575 - type: mrr_at_3 value: 22.759999999999998 - type: mrr_at_5 value: 23.818 - type: ndcg_at_1 value: 19.17 - type: ndcg_at_10 value: 24.685000000000002 - type: ndcg_at_100 value: 29.84 - type: ndcg_at_1000 value: 33.548 - type: ndcg_at_3 value: 21.569 - type: ndcg_at_5 value: 22.842000000000002 - type: precision_at_1 value: 19.17 - type: precision_at_10 value: 4.862 - type: precision_at_100 value: 1.105 - type: precision_at_1000 value: 0.2 - type: precision_at_3 value: 10.277 - type: precision_at_5 value: 7.431 - type: recall_at_1 value: 15.253 - type: recall_at_10 value: 31.858999999999998 - type: recall_at_100 value: 56.477999999999994 - type: recall_at_1000 value: 81.56099999999999 - type: recall_at_3 value: 22.11 - type: recall_at_5 value: 26.003 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 9.68 - type: map_at_10 value: 14.121 - type: map_at_100 value: 14.923 - type: map_at_1000 value: 15.046999999999999 - type: map_at_3 value: 12.73 - type: map_at_5 value: 13.402 - type: mrr_at_1 value: 10.906 - type: mrr_at_10 value: 15.549 - type: mrr_at_100 value: 16.302 - type: mrr_at_1000 value: 16.407 - type: mrr_at_3 value: 13.986 - type: mrr_at_5 value: 14.743999999999998 - type: ndcg_at_1 value: 10.906 - type: ndcg_at_10 value: 17.064 - type: ndcg_at_100 value: 21.474 - type: ndcg_at_1000 value: 24.964 - type: ndcg_at_3 value: 14.069 - type: ndcg_at_5 value: 15.268999999999998 - type: precision_at_1 value: 10.906 - type: precision_at_10 value: 2.828 - type: precision_at_100 value: 0.551 - type: precision_at_1000 value: 0.095 - type: precision_at_3 value: 6.1 - type: precision_at_5 value: 4.399 - type: recall_at_1 value: 9.68 - type: recall_at_10 value: 24.941 - type: recall_at_100 value: 46.189 - type: recall_at_1000 value: 72.796 - type: recall_at_3 value: 16.765 - type: recall_at_5 value: 19.55 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 6.151 - type: map_at_10 value: 11.699 - type: map_at_100 value: 13.213 - type: map_at_1000 value: 13.441 - type: map_at_3 value: 9.356 - type: map_at_5 value: 10.456999999999999 - type: mrr_at_1 value: 13.29 - type: mrr_at_10 value: 23.102 - type: mrr_at_100 value: 24.262 - type: mrr_at_1000 value: 24.332 - type: mrr_at_3 value: 19.75 - type: mrr_at_5 value: 21.490000000000002 - type: ndcg_at_1 value: 13.29 - type: ndcg_at_10 value: 17.761 - type: ndcg_at_100 value: 24.587 - type: ndcg_at_1000 value: 29.004 - type: ndcg_at_3 value: 13.247 - type: ndcg_at_5 value: 14.776 - type: precision_at_1 value: 13.29 - type: precision_at_10 value: 6.104 - type: precision_at_100 value: 1.343 - type: precision_at_1000 value: 0.213 - type: precision_at_3 value: 10.315000000000001 - type: precision_at_5 value: 8.352 - type: recall_at_1 value: 6.151 - type: recall_at_10 value: 23.374 - type: recall_at_100 value: 47.381 - type: recall_at_1000 value: 72.707 - type: recall_at_3 value: 12.709000000000001 - type: recall_at_5 value: 16.575 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 3.2969999999999997 - type: map_at_10 value: 8.185 - type: map_at_100 value: 11.555 - type: map_at_1000 value: 12.506 - type: map_at_3 value: 5.63 - type: map_at_5 value: 6.851 - type: mrr_at_1 value: 37.5 - type: mrr_at_10 value: 47.846 - type: mrr_at_100 value: 48.595 - type: mrr_at_1000 value: 48.619 - type: mrr_at_3 value: 44.792 - type: mrr_at_5 value: 46.367000000000004 - type: ndcg_at_1 value: 27.375 - type: ndcg_at_10 value: 21.753 - type: ndcg_at_100 value: 24.714 - type: ndcg_at_1000 value: 31.426 - type: ndcg_at_3 value: 23.781 - type: ndcg_at_5 value: 22.808 - type: precision_at_1 value: 37.5 - type: precision_at_10 value: 19.775000000000002 - type: precision_at_100 value: 6.45 - type: precision_at_1000 value: 1.434 - type: precision_at_3 value: 28.333000000000002 - type: precision_at_5 value: 24.95 - type: recall_at_1 value: 3.2969999999999997 - type: recall_at_10 value: 12.861 - type: recall_at_100 value: 31.055 - type: recall_at_1000 value: 53.855 - type: recall_at_3 value: 6.848999999999999 - type: recall_at_5 value: 9.328 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 45.91 - type: f1 value: 41.614000185716236 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 14.413 - type: map_at_10 value: 21.197 - type: map_at_100 value: 22.116 - type: map_at_1000 value: 22.186 - type: map_at_3 value: 18.867 - type: map_at_5 value: 20.154 - type: mrr_at_1 value: 15.302 - type: mrr_at_10 value: 22.462 - type: mrr_at_100 value: 23.391000000000002 - type: mrr_at_1000 value: 23.452 - type: mrr_at_3 value: 20.012 - type: mrr_at_5 value: 21.38 - type: ndcg_at_1 value: 15.302 - type: ndcg_at_10 value: 25.458 - type: ndcg_at_100 value: 30.144 - type: ndcg_at_1000 value: 32.124 - type: ndcg_at_3 value: 20.638 - type: ndcg_at_5 value: 22.964000000000002 - type: precision_at_1 value: 15.302 - type: precision_at_10 value: 4.086 - type: precision_at_100 value: 0.662 - type: precision_at_1000 value: 0.08499999999999999 - type: precision_at_3 value: 8.806 - type: precision_at_5 value: 6.514 - type: recall_at_1 value: 14.413 - type: recall_at_10 value: 37.682 - type: recall_at_100 value: 59.521 - type: recall_at_1000 value: 74.95100000000001 - type: recall_at_3 value: 24.618000000000002 - type: recall_at_5 value: 30.186 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 6.948 - type: map_at_10 value: 11.461 - type: map_at_100 value: 12.565000000000001 - type: map_at_1000 value: 12.76 - type: map_at_3 value: 9.679 - type: map_at_5 value: 10.59 - type: mrr_at_1 value: 13.58 - type: mrr_at_10 value: 19.377 - type: mrr_at_100 value: 20.435 - type: mrr_at_1000 value: 20.526 - type: mrr_at_3 value: 17.000999999999998 - type: mrr_at_5 value: 18.374 - type: ndcg_at_1 value: 13.58 - type: ndcg_at_10 value: 15.756999999999998 - type: ndcg_at_100 value: 21.529999999999998 - type: ndcg_at_1000 value: 25.956000000000003 - type: ndcg_at_3 value: 12.848 - type: ndcg_at_5 value: 13.998 - type: precision_at_1 value: 13.58 - type: precision_at_10 value: 4.491 - type: precision_at_100 value: 1.035 - type: precision_at_1000 value: 0.182 - type: precision_at_3 value: 8.385 - type: precision_at_5 value: 6.6049999999999995 - type: recall_at_1 value: 6.948 - type: recall_at_10 value: 20.569000000000003 - type: recall_at_100 value: 43.488 - type: recall_at_1000 value: 70.87400000000001 - type: recall_at_3 value: 12.17 - type: recall_at_5 value: 15.495999999999999 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 14.854999999999999 - type: map_at_10 value: 21.003 - type: map_at_100 value: 21.797 - type: map_at_1000 value: 21.904 - type: map_at_3 value: 19.258 - type: map_at_5 value: 20.188 - type: mrr_at_1 value: 29.709999999999997 - type: mrr_at_10 value: 36.414 - type: mrr_at_100 value: 37.113 - type: mrr_at_1000 value: 37.179 - type: mrr_at_3 value: 34.542 - type: mrr_at_5 value: 35.619 - type: ndcg_at_1 value: 29.709999999999997 - type: ndcg_at_10 value: 27.198 - type: ndcg_at_100 value: 31.052999999999997 - type: ndcg_at_1000 value: 33.757 - type: ndcg_at_3 value: 23.775 - type: ndcg_at_5 value: 25.399 - type: precision_at_1 value: 29.709999999999997 - type: precision_at_10 value: 6.078 - type: precision_at_100 value: 0.919 - type: precision_at_1000 value: 0.128 - type: precision_at_3 value: 15.093 - type: precision_at_5 value: 10.344000000000001 - type: recall_at_1 value: 14.854999999999999 - type: recall_at_10 value: 30.392000000000003 - type: recall_at_100 value: 45.949 - type: recall_at_1000 value: 64.078 - type: recall_at_3 value: 22.64 - type: recall_at_5 value: 25.861 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 66.3596 - type: ap value: 60.91255566890042 - type: f1 value: 66.1523853101571 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 6.046 - type: map_at_10 value: 10.651 - type: map_at_100 value: 11.505 - type: map_at_1000 value: 11.61 - type: map_at_3 value: 8.959999999999999 - type: map_at_5 value: 9.843 - type: mrr_at_1 value: 6.261 - type: mrr_at_10 value: 10.934000000000001 - type: mrr_at_100 value: 11.795 - type: mrr_at_1000 value: 11.897 - type: mrr_at_3 value: 9.205 - type: mrr_at_5 value: 10.112 - type: ndcg_at_1 value: 6.246 - type: ndcg_at_10 value: 13.559 - type: ndcg_at_100 value: 18.291 - type: ndcg_at_1000 value: 21.503 - type: ndcg_at_3 value: 10.012 - type: ndcg_at_5 value: 11.605 - type: precision_at_1 value: 6.246 - type: precision_at_10 value: 2.357 - type: precision_at_100 value: 0.481 - type: precision_at_1000 value: 0.076 - type: precision_at_3 value: 4.436 - type: precision_at_5 value: 3.4610000000000003 - type: recall_at_1 value: 6.046 - type: recall_at_10 value: 22.621 - type: recall_at_100 value: 45.829 - type: recall_at_1000 value: 71.735 - type: recall_at_3 value: 12.826 - type: recall_at_5 value: 16.658 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 88.10989512083903 - type: f1 value: 87.64152476625755 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 57.87505699954399 - type: f1 value: 40.00822983589675 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 63.21788836583726 - type: f1 value: 61.64373490787742 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 72.50168123739071 - type: f1 value: 71.25047204682383 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 29.30894849088611 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 27.369395178404975 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 30.225892079841838 - type: mrr value: 31.239259568046673 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 4.115 - type: map_at_10 value: 7.8149999999999995 - type: map_at_100 value: 9.962 - type: map_at_1000 value: 11.253 - type: map_at_3 value: 6.014 - type: map_at_5 value: 6.874 - type: mrr_at_1 value: 32.198 - type: mrr_at_10 value: 42.025 - type: mrr_at_100 value: 42.875 - type: mrr_at_1000 value: 42.925999999999995 - type: mrr_at_3 value: 39.318999999999996 - type: mrr_at_5 value: 41.192 - type: ndcg_at_1 value: 30.186 - type: ndcg_at_10 value: 24.194 - type: ndcg_at_100 value: 23.426 - type: ndcg_at_1000 value: 32.955 - type: ndcg_at_3 value: 27.528999999999996 - type: ndcg_at_5 value: 26.295 - type: precision_at_1 value: 32.198 - type: precision_at_10 value: 17.740000000000002 - type: precision_at_100 value: 6.433 - type: precision_at_1000 value: 1.9609999999999999 - type: precision_at_3 value: 26.006 - type: precision_at_5 value: 22.786 - type: recall_at_1 value: 4.115 - type: recall_at_10 value: 11.774 - type: recall_at_100 value: 26.046999999999997 - type: recall_at_1000 value: 60.171 - type: recall_at_3 value: 6.935 - type: recall_at_5 value: 8.958 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 7.959 - type: map_at_10 value: 13.771 - type: map_at_100 value: 14.954 - type: map_at_1000 value: 15.061 - type: map_at_3 value: 11.548 - type: map_at_5 value: 12.686 - type: mrr_at_1 value: 9.067 - type: mrr_at_10 value: 15.262 - type: mrr_at_100 value: 16.358 - type: mrr_at_1000 value: 16.447 - type: mrr_at_3 value: 12.895999999999999 - type: mrr_at_5 value: 14.13 - type: ndcg_at_1 value: 9.067 - type: ndcg_at_10 value: 17.711 - type: ndcg_at_100 value: 23.771 - type: ndcg_at_1000 value: 26.695 - type: ndcg_at_3 value: 13.04 - type: ndcg_at_5 value: 15.098 - type: precision_at_1 value: 9.067 - type: precision_at_10 value: 3.36 - type: precision_at_100 value: 0.6819999999999999 - type: precision_at_1000 value: 0.096 - type: precision_at_3 value: 6.132 - type: precision_at_5 value: 4.832 - type: recall_at_1 value: 7.959 - type: recall_at_10 value: 28.529 - type: recall_at_100 value: 56.747 - type: recall_at_1000 value: 79.251 - type: recall_at_3 value: 16.066 - type: recall_at_5 value: 20.836 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 63.468999999999994 - type: map_at_10 value: 76.363 - type: map_at_100 value: 77.13799999999999 - type: map_at_1000 value: 77.169 - type: map_at_3 value: 73.303 - type: map_at_5 value: 75.139 - type: mrr_at_1 value: 73.09 - type: mrr_at_10 value: 80.379 - type: mrr_at_100 value: 80.632 - type: mrr_at_1000 value: 80.637 - type: mrr_at_3 value: 78.9 - type: mrr_at_5 value: 79.83200000000001 - type: ndcg_at_1 value: 73.14 - type: ndcg_at_10 value: 80.99 - type: ndcg_at_100 value: 83.086 - type: ndcg_at_1000 value: 83.421 - type: ndcg_at_3 value: 77.263 - type: ndcg_at_5 value: 79.175 - type: precision_at_1 value: 73.14 - type: precision_at_10 value: 12.324 - type: precision_at_100 value: 1.469 - type: precision_at_1000 value: 0.155 - type: precision_at_3 value: 33.562999999999995 - type: precision_at_5 value: 22.259999999999998 - type: recall_at_1 value: 63.468999999999994 - type: recall_at_10 value: 89.997 - type: recall_at_100 value: 97.87 - type: recall_at_1000 value: 99.714 - type: recall_at_3 value: 79.45100000000001 - type: recall_at_5 value: 84.652 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 40.96803215988553 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 44.76290891260663 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 3.118 - type: map_at_10 value: 7.127999999999999 - type: map_at_100 value: 8.551 - type: map_at_1000 value: 8.819 - type: map_at_3 value: 5.269 - type: map_at_5 value: 6.136 - type: mrr_at_1 value: 15.299999999999999 - type: mrr_at_10 value: 23.138 - type: mrr_at_100 value: 24.354 - type: mrr_at_1000 value: 24.449 - type: mrr_at_3 value: 20.349999999999998 - type: mrr_at_5 value: 21.875 - type: ndcg_at_1 value: 15.299999999999999 - type: ndcg_at_10 value: 12.7 - type: ndcg_at_100 value: 19.177 - type: ndcg_at_1000 value: 24.578 - type: ndcg_at_3 value: 12.076 - type: ndcg_at_5 value: 10.446 - type: precision_at_1 value: 15.299999999999999 - type: precision_at_10 value: 6.5600000000000005 - type: precision_at_100 value: 1.598 - type: precision_at_1000 value: 0.29 - type: precision_at_3 value: 11.200000000000001 - type: precision_at_5 value: 9.04 - type: recall_at_1 value: 3.118 - type: recall_at_10 value: 13.297999999999998 - type: recall_at_100 value: 32.427 - type: recall_at_1000 value: 58.885 - type: recall_at_3 value: 6.827999999999999 - type: recall_at_5 value: 9.173 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 76.43930654983161 - type: cos_sim_spearman value: 64.67852678771158 - type: euclidean_pearson value: 71.3061879333313 - type: euclidean_spearman value: 64.67866157468679 - type: manhattan_pearson value: 69.51075530995897 - type: manhattan_spearman value: 63.82662313156165 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 73.65362279607574 - type: cos_sim_spearman value: 64.97375169407779 - type: euclidean_pearson value: 70.50786081642359 - type: euclidean_spearman value: 64.97517508701773 - type: manhattan_pearson value: 69.51012145127774 - type: manhattan_spearman value: 64.81905653953442 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 75.02560272667618 - type: cos_sim_spearman value: 76.85285173868739 - type: euclidean_pearson value: 76.51659956643294 - type: euclidean_spearman value: 76.85288956038684 - type: manhattan_pearson value: 77.15391795740369 - type: manhattan_spearman value: 77.55482712197826 - task: type: STS dataset: type: None name: MTEB STS14 config: default split: test revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 metrics: - 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type: euclidean_spearman value: 75.66761977438898 - type: manhattan_pearson value: 75.77299348357039 - type: manhattan_spearman value: 75.55171542186395 - task: type: STS dataset: type: None name: MTEB STS17 (en-en) config: en-en split: test revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d metrics: - type: cos_sim_pearson value: 81.6132447770844 - type: cos_sim_spearman value: 82.86761864975185 - type: euclidean_pearson value: 82.79978751053565 - type: euclidean_spearman value: 82.8684934691074 - type: manhattan_pearson value: 82.34063577443474 - type: manhattan_spearman value: 82.44500370747792 - task: type: STS dataset: type: None name: MTEB STS22 (en) config: en split: test revision: eea2b4fe26a775864c896887d910b76a8098ad3f metrics: - type: cos_sim_pearson value: 57.122789236461344 - type: cos_sim_spearman value: 59.32471385840999 - type: euclidean_pearson value: 60.436929454793386 - type: euclidean_spearman value: 59.32471385840999 - type: manhattan_pearson value: 62.55817551321529 - 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type: map_at_3 value: 36.741 - type: map_at_5 value: 38.588 - type: mrr_at_1 value: 32.667 - type: mrr_at_10 value: 41.123 - type: mrr_at_100 value: 42.135 - type: mrr_at_1000 value: 42.197 - type: mrr_at_3 value: 38.944 - type: mrr_at_5 value: 40.528 - type: ndcg_at_1 value: 32.667 - type: ndcg_at_10 value: 44.06 - type: ndcg_at_100 value: 49.599 - type: ndcg_at_1000 value: 51.573 - type: ndcg_at_3 value: 39.373999999999995 - type: ndcg_at_5 value: 42.393 - type: precision_at_1 value: 32.667 - type: precision_at_10 value: 6.267 - type: precision_at_100 value: 0.9329999999999999 - type: precision_at_1000 value: 0.11100000000000002 - type: precision_at_3 value: 16.111 - type: precision_at_5 value: 11.267000000000001 - type: recall_at_1 value: 30.528 - type: recall_at_10 value: 56.77799999999999 - type: recall_at_100 value: 82.73899999999999 - type: recall_at_1000 value: 98.2 - type: recall_at_3 value: 44.806000000000004 - type: recall_at_5 value: 52.0 - task: type: PairClassification dataset: type: None name: MTEB SprintDuplicateQuestions config: default split: test revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 metrics: - type: cos_sim_accuracy value: 99.71386138613862 - type: cos_sim_ap value: 91.49236791906557 - type: cos_sim_f1 value: 85.24262131065534 - type: cos_sim_precision value: 85.28528528528528 - type: cos_sim_recall value: 85.2 - type: dot_accuracy value: 99.71386138613862 - type: dot_ap value: 91.49236791906557 - type: dot_f1 value: 85.24262131065534 - type: dot_precision value: 85.28528528528528 - type: dot_recall value: 85.2 - type: euclidean_accuracy value: 99.71386138613862 - type: euclidean_ap value: 91.49236791906557 - type: euclidean_f1 value: 85.24262131065534 - type: euclidean_precision value: 85.28528528528528 - type: euclidean_recall value: 85.2 - type: manhattan_accuracy value: 99.74356435643564 - type: manhattan_ap value: 92.92378153295812 - type: manhattan_f1 value: 86.91358024691358 - type: manhattan_precision value: 85.85365853658537 - type: manhattan_recall value: 88.0 - type: max_accuracy value: 99.74356435643564 - type: max_ap value: 92.92378153295812 - type: max_f1 value: 86.91358024691358 - task: type: Clustering dataset: type: None name: MTEB StackExchangeClustering config: default split: test revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 metrics: - type: v_measure value: 46.49650440995953 - task: type: Clustering dataset: type: None name: MTEB StackExchangeClusteringP2P config: default split: test revision: 815ca46b2622cec33ccafc3735d572c266efdb44 metrics: - type: v_measure value: 30.729040984470192 - task: type: Reranking dataset: type: None name: MTEB StackOverflowDupQuestions config: default split: test revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 metrics: - type: map value: 42.340961146720595 - type: mrr value: 42.78318903318903 - task: type: Summarization dataset: type: None name: MTEB SummEval config: default split: test revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c metrics: - type: cos_sim_pearson value: 31.518691188419957 - type: cos_sim_spearman value: 31.803967934264456 - type: dot_pearson value: 31.518690928671965 - type: dot_spearman value: 31.787757429064612 - task: type: Retrieval dataset: type: None name: MTEB TRECCOVID config: default split: test revision: None metrics: - type: map_at_1 value: 0.146 - type: map_at_10 value: 0.9169999999999999 - type: map_at_100 value: 4.661 - type: map_at_1000 value: 11.487 - type: map_at_3 value: 0.332 - type: map_at_5 value: 0.503 - type: mrr_at_1 value: 54.0 - type: mrr_at_10 value: 66.813 - type: mrr_at_100 value: 67.338 - type: mrr_at_1000 value: 67.338 - type: mrr_at_3 value: 64.333 - type: mrr_at_5 value: 65.833 - type: ndcg_at_1 value: 50.0 - type: ndcg_at_10 value: 45.345 - type: ndcg_at_100 value: 34.175 - type: ndcg_at_1000 value: 31.346 - type: ndcg_at_3 value: 47.038999999999994 - type: ndcg_at_5 value: 47.219 - type: precision_at_1 value: 56.00000000000001 - type: precision_at_10 value: 50.0 - type: precision_at_100 value: 36.24 - type: precision_at_1000 value: 15.129999999999999 - type: precision_at_3 value: 52.666999999999994 - type: precision_at_5 value: 52.0 - type: recall_at_1 value: 0.146 - type: recall_at_10 value: 1.216 - type: recall_at_100 value: 7.892 - type: recall_at_1000 value: 30.56 - type: recall_at_3 value: 0.379 - type: recall_at_5 value: 0.61 - task: type: Retrieval dataset: type: None name: MTEB Touche2020 config: default split: test revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f metrics: - type: map_at_1 value: 2.0140000000000002 - type: map_at_10 value: 6.574000000000001 - type: map_at_100 value: 12.025 - type: map_at_1000 value: 13.649000000000001 - type: map_at_3 value: 3.5450000000000004 - type: map_at_5 value: 4.903 - type: mrr_at_1 value: 28.571 - type: mrr_at_10 value: 40.943000000000005 - type: mrr_at_100 value: 42.535000000000004 - type: mrr_at_1000 value: 42.535000000000004 - type: mrr_at_3 value: 37.075 - type: mrr_at_5 value: 38.81 - type: ndcg_at_1 value: 27.551 - type: ndcg_at_10 value: 19.471 - type: ndcg_at_100 value: 32.823 - type: ndcg_at_1000 value: 44.644 - type: ndcg_at_3 value: 21.255 - type: ndcg_at_5 value: 21.438 - type: precision_at_1 value: 28.571 - type: precision_at_10 value: 17.347 - type: precision_at_100 value: 7.5920000000000005 - type: precision_at_1000 value: 1.508 - type: precision_at_3 value: 21.088 - type: precision_at_5 value: 21.633 - type: recall_at_1 value: 2.0140000000000002 - type: recall_at_10 value: 11.748 - type: recall_at_100 value: 46.436 - type: recall_at_1000 value: 82.16799999999999 - type: recall_at_3 value: 4.4990000000000006 - type: recall_at_5 value: 7.423 - task: type: Classification dataset: type: None name: MTEB ToxicConversationsClassification config: default split: test revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c metrics: - type: accuracy value: 70.5234 - type: ap value: 14.633576385764599 - type: f1 value: 54.63581892147792 - task: type: Classification dataset: type: None name: MTEB TweetSentimentExtractionClassification config: default split: test revision: d604517c81ca91fe16a244d1248fc021f9ecee7a metrics: - type: accuracy value: 56.57894736842105 - type: f1 value: 56.73891238797681 - task: type: Clustering dataset: type: None name: MTEB TwentyNewsgroupsClustering config: default split: test revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 metrics: - type: v_measure value: 38.4061559598505 - task: type: PairClassification dataset: type: None name: MTEB TwitterSemEval2015 config: default split: test revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 metrics: - type: cos_sim_accuracy value: 82.92900995410383 - type: cos_sim_ap value: 62.43405323490786 - type: cos_sim_f1 value: 60.06760019314341 - type: cos_sim_precision value: 55.36270582999555 - type: cos_sim_recall value: 65.64643799472294 - type: dot_accuracy value: 82.92900995410383 - type: dot_ap value: 62.43405323490786 - type: dot_f1 value: 60.06760019314341 - type: dot_precision value: 55.36270582999555 - type: dot_recall value: 65.64643799472294 - type: euclidean_accuracy value: 82.92900995410383 - type: euclidean_ap value: 62.43405323490786 - type: euclidean_f1 value: 60.06760019314341 - type: euclidean_precision value: 55.36270582999555 - type: euclidean_recall value: 65.64643799472294 - type: manhattan_accuracy value: 82.14221851344102 - type: manhattan_ap value: 60.311627003336824 - type: manhattan_f1 value: 58.30150527971243 - type: manhattan_precision value: 50.762910798122064 - type: manhattan_recall value: 68.46965699208444 - type: max_accuracy value: 82.92900995410383 - type: max_ap value: 62.43405323490786 - type: max_f1 value: 60.06760019314341 - task: type: PairClassification dataset: type: None name: MTEB TwitterURLCorpus config: default split: test revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy value: 87.08813598789149 - type: cos_sim_ap value: 82.16719168081325 - type: cos_sim_f1 value: 74.65280302479458 - type: cos_sim_precision value: 70.71910731505717 - type: cos_sim_recall value: 79.04989220819218 - type: dot_accuracy value: 87.08813598789149 - type: dot_ap value: 82.16719168228374 - type: dot_f1 value: 74.65280302479458 - type: dot_precision value: 70.71910731505717 - type: dot_recall value: 79.04989220819218 - type: euclidean_accuracy value: 87.08813598789149 - type: euclidean_ap value: 82.16720008129118 - type: euclidean_f1 value: 74.65280302479458 - type: euclidean_precision value: 70.71910731505717 - type: euclidean_recall value: 79.04989220819218 - type: manhattan_accuracy value: 87.16963558039352 - type: manhattan_ap value: 82.17943816238372 - type: manhattan_f1 value: 74.91245171305823 - type: manhattan_precision value: 70.52545714091497 - type: manhattan_recall value: 79.88142901139513 - type: max_accuracy value: 87.16963558039352 - type: max_ap value: 82.17943816238372 - type: max_f1 value: 74.91245171305823 ---