--- tags: - mteb model-index: - name: gte-base-en-v1.5_embs_nofiltering_sortlenTrue_phrase2sent_15epoch_15epoch__adam0.001_accum1_best_epoch_3863037_bs128_result results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 72.71641791044777 - type: ap value: 35.599140186230734 - type: f1 value: 66.72372354326045 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 72.7823 - type: ap value: 66.88980427652794 - type: f1 value: 72.60105018624591 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 38.483999999999995 - type: f1 value: 37.867826932045745 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 21.195 - type: map_at_10 value: 35.876999999999995 - type: map_at_100 value: 37.147999999999996 - type: map_at_1000 value: 37.165 - type: map_at_3 value: 31.342 - type: map_at_5 value: 33.764 - type: mrr_at_1 value: 21.906 - type: mrr_at_10 value: 36.128 - type: mrr_at_100 value: 37.397999999999996 - type: mrr_at_1000 value: 37.416 - type: mrr_at_3 value: 31.555 - type: mrr_at_5 value: 34.001999999999995 - type: ndcg_at_1 value: 21.195 - type: ndcg_at_10 value: 44.207 - type: ndcg_at_100 value: 49.88 - type: ndcg_at_1000 value: 50.298 - type: ndcg_at_3 value: 34.755 - type: ndcg_at_5 value: 39.135 - type: precision_at_1 value: 21.195 - type: precision_at_10 value: 7.091 - type: precision_at_100 value: 0.963 - type: precision_at_1000 value: 0.1 - type: precision_at_3 value: 14.889 - type: precision_at_5 value: 11.067 - type: recall_at_1 value: 21.195 - type: recall_at_10 value: 70.91 - type: recall_at_100 value: 96.30199999999999 - type: recall_at_1000 value: 99.502 - type: recall_at_3 value: 44.666 - type: recall_at_5 value: 55.334 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 38.289190023047105 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 28.15017802770073 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 54.677327183831046 - type: mrr value: 68.2003253748406 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 81.79485923763309 - type: cos_sim_spearman value: 79.71265968052003 - type: euclidean_pearson value: 80.78575386279923 - type: euclidean_spearman value: 79.71265968052003 - type: manhattan_pearson value: 81.12300703450198 - type: manhattan_spearman value: 81.23377867759768 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 75.04870129870129 - type: f1 value: 74.29090714638184 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 34.18202629628483 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 25.419352316577875 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 20.305 - type: map_at_10 value: 28.046 - type: map_at_100 value: 29.174 - type: map_at_1000 value: 29.326999999999998 - type: map_at_3 value: 25.464 - type: map_at_5 value: 26.874 - type: mrr_at_1 value: 26.179999999999996 - type: mrr_at_10 value: 34.0 - type: mrr_at_100 value: 34.797 - type: mrr_at_1000 value: 34.864 - type: mrr_at_3 value: 31.784000000000002 - type: mrr_at_5 value: 32.992 - type: ndcg_at_1 value: 26.179999999999996 - type: ndcg_at_10 value: 33.46 - type: ndcg_at_100 value: 38.539 - type: ndcg_at_1000 value: 41.619 - type: ndcg_at_3 value: 29.471000000000004 - type: ndcg_at_5 value: 31.169999999999998 - type: precision_at_1 value: 26.179999999999996 - type: precision_at_10 value: 6.680999999999999 - type: precision_at_100 value: 1.15 - type: precision_at_1000 value: 0.173 - type: precision_at_3 value: 14.591999999999999 - type: precision_at_5 value: 10.73 - type: recall_at_1 value: 20.305 - type: recall_at_10 value: 43.199 - type: recall_at_100 value: 66.46 - type: recall_at_1000 value: 87.469 - type: recall_at_3 value: 30.94 - type: recall_at_5 value: 35.927 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 18.265 - type: map_at_10 value: 24.661 - type: map_at_100 value: 25.739 - type: map_at_1000 value: 25.86 - type: map_at_3 value: 22.775000000000002 - type: map_at_5 value: 23.814 - type: mrr_at_1 value: 23.185 - type: mrr_at_10 value: 29.067 - type: mrr_at_100 value: 29.939 - type: mrr_at_1000 value: 30.007 - type: mrr_at_3 value: 27.197 - type: mrr_at_5 value: 28.248 - type: ndcg_at_1 value: 23.185 - type: ndcg_at_10 value: 28.638 - type: ndcg_at_100 value: 33.341 - type: ndcg_at_1000 value: 36.11 - type: ndcg_at_3 value: 25.599 - type: ndcg_at_5 value: 26.901999999999997 - type: precision_at_1 value: 23.185 - type: precision_at_10 value: 5.306 - type: precision_at_100 value: 0.959 - type: precision_at_1000 value: 0.145 - type: precision_at_3 value: 12.442 - type: precision_at_5 value: 8.764 - type: recall_at_1 value: 18.265 - type: recall_at_10 value: 36.055 - type: recall_at_100 value: 56.419 - type: recall_at_1000 value: 75.25500000000001 - type: recall_at_3 value: 26.906999999999996 - type: recall_at_5 value: 30.637999999999998 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 27.065 - type: map_at_10 value: 35.952 - type: map_at_100 value: 37.092999999999996 - type: map_at_1000 value: 37.19 - type: map_at_3 value: 33.410000000000004 - type: map_at_5 value: 34.743 - type: mrr_at_1 value: 31.223 - type: mrr_at_10 value: 39.174 - type: mrr_at_100 value: 40.091 - type: mrr_at_1000 value: 40.152 - type: mrr_at_3 value: 37.011 - type: mrr_at_5 value: 38.115 - type: ndcg_at_1 value: 31.223 - type: ndcg_at_10 value: 40.871 - type: ndcg_at_100 value: 46.068 - type: ndcg_at_1000 value: 48.295 - type: ndcg_at_3 value: 36.285000000000004 - type: ndcg_at_5 value: 38.25 - type: precision_at_1 value: 31.223 - type: precision_at_10 value: 6.639 - type: precision_at_100 value: 1.014 - type: precision_at_1000 value: 0.128 - type: precision_at_3 value: 16.092000000000002 - type: precision_at_5 value: 11.047 - type: recall_at_1 value: 27.065 - type: recall_at_10 value: 52.605000000000004 - type: recall_at_100 value: 75.653 - type: recall_at_1000 value: 91.724 - type: recall_at_3 value: 40.150999999999996 - type: recall_at_5 value: 44.979 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 12.692999999999998 - type: map_at_10 value: 17.427 - type: map_at_100 value: 18.235 - type: map_at_1000 value: 18.355 - type: map_at_3 value: 16.144 - type: map_at_5 value: 16.81 - type: mrr_at_1 value: 13.672 - type: mrr_at_10 value: 18.633 - type: mrr_at_100 value: 19.447 - type: mrr_at_1000 value: 19.554 - type: mrr_at_3 value: 17.401 - type: mrr_at_5 value: 17.983 - type: ndcg_at_1 value: 13.672 - type: ndcg_at_10 value: 20.212 - type: ndcg_at_100 value: 24.66 - type: ndcg_at_1000 value: 28.265 - type: ndcg_at_3 value: 17.625 - type: ndcg_at_5 value: 18.728 - type: precision_at_1 value: 13.672 - type: precision_at_10 value: 3.141 - type: precision_at_100 value: 0.569 - type: precision_at_1000 value: 0.093 - type: precision_at_3 value: 7.5329999999999995 - type: precision_at_5 value: 5.220000000000001 - type: recall_at_1 value: 12.692999999999998 - type: recall_at_10 value: 27.656 - type: recall_at_100 value: 48.927 - type: recall_at_1000 value: 77.113 - type: recall_at_3 value: 20.54 - type: recall_at_5 value: 23.177 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 7.814 - type: map_at_10 value: 11.472 - type: map_at_100 value: 12.283 - type: map_at_1000 value: 12.407 - type: map_at_3 value: 9.892 - type: map_at_5 value: 10.525 - type: mrr_at_1 value: 9.950000000000001 - type: mrr_at_10 value: 13.947999999999999 - type: mrr_at_100 value: 14.790000000000001 - type: mrr_at_1000 value: 14.893999999999998 - type: mrr_at_3 value: 12.189 - type: mrr_at_5 value: 12.91 - type: ndcg_at_1 value: 9.950000000000001 - type: ndcg_at_10 value: 14.481 - type: ndcg_at_100 value: 18.999 - type: ndcg_at_1000 value: 22.519 - type: ndcg_at_3 value: 11.212 - type: ndcg_at_5 value: 12.238 - type: precision_at_1 value: 9.950000000000001 - type: precision_at_10 value: 2.861 - type: precision_at_100 value: 0.607 - type: precision_at_1000 value: 0.104 - type: precision_at_3 value: 5.224 - type: precision_at_5 value: 3.856 - type: recall_at_1 value: 7.814 - type: recall_at_10 value: 21.507 - type: recall_at_100 value: 42.067 - type: recall_at_1000 value: 68.059 - type: recall_at_3 value: 12.489 - type: recall_at_5 value: 14.973 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 18.572 - type: map_at_10 value: 24.854000000000003 - type: map_at_100 value: 26.029000000000003 - type: map_at_1000 value: 26.177 - type: map_at_3 value: 22.417 - type: map_at_5 value: 23.612 - type: mrr_at_1 value: 22.907 - type: mrr_at_10 value: 29.643000000000004 - type: mrr_at_100 value: 30.499 - type: mrr_at_1000 value: 30.586999999999996 - type: mrr_at_3 value: 27.108999999999998 - type: mrr_at_5 value: 28.355999999999998 - type: ndcg_at_1 value: 22.907 - type: ndcg_at_10 value: 29.601 - type: ndcg_at_100 value: 35.11 - type: ndcg_at_1000 value: 38.433 - type: ndcg_at_3 value: 25.068 - type: ndcg_at_5 value: 26.828000000000003 - type: precision_at_1 value: 22.907 - type: precision_at_10 value: 5.525 - type: precision_at_100 value: 1.002 - type: precision_at_1000 value: 0.149 - type: precision_at_3 value: 11.389000000000001 - type: precision_at_5 value: 8.354000000000001 - type: recall_at_1 value: 18.572 - type: recall_at_10 value: 39.499 - type: recall_at_100 value: 63.46000000000001 - type: recall_at_1000 value: 86.52499999999999 - type: recall_at_3 value: 26.699 - type: recall_at_5 value: 31.175000000000004 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 14.918000000000001 - type: map_at_10 value: 20.223 - type: map_at_100 value: 21.429000000000002 - type: map_at_1000 value: 21.578 - type: map_at_3 value: 18.278 - type: map_at_5 value: 19.312 - type: mrr_at_1 value: 18.037 - type: mrr_at_10 value: 23.75 - type: mrr_at_100 value: 24.804000000000002 - type: mrr_at_1000 value: 24.898 - type: mrr_at_3 value: 21.842 - type: mrr_at_5 value: 22.755 - type: ndcg_at_1 value: 18.037 - type: ndcg_at_10 value: 23.907 - type: ndcg_at_100 value: 29.663 - type: ndcg_at_1000 value: 33.245000000000005 - type: ndcg_at_3 value: 20.379 - type: ndcg_at_5 value: 21.799 - type: precision_at_1 value: 18.037 - type: precision_at_10 value: 4.452 - type: precision_at_100 value: 0.881 - type: precision_at_1000 value: 0.13799999999999998 - type: precision_at_3 value: 9.513 - type: precision_at_5 value: 6.895 - type: recall_at_1 value: 14.918000000000001 - type: recall_at_10 value: 31.503999999999998 - type: recall_at_100 value: 56.354000000000006 - type: recall_at_1000 value: 81.774 - type: recall_at_3 value: 21.819 - type: recall_at_5 value: 25.459 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 14.668083333333332 - type: map_at_10 value: 20.24666666666667 - type: map_at_100 value: 21.21025 - type: map_at_1000 value: 21.340666666666664 - type: map_at_3 value: 18.417083333333334 - type: map_at_5 value: 19.366833333333332 - type: mrr_at_1 value: 17.777833333333334 - type: mrr_at_10 value: 23.403333333333336 - type: mrr_at_100 value: 24.25408333333333 - type: mrr_at_1000 value: 24.34333333333333 - type: mrr_at_3 value: 21.6155 - type: mrr_at_5 value: 22.521 - type: ndcg_at_1 value: 17.777833333333334 - type: ndcg_at_10 value: 23.933500000000002 - type: ndcg_at_100 value: 28.714749999999995 - type: ndcg_at_1000 value: 31.968833333333336 - type: ndcg_at_3 value: 20.60758333333333 - type: ndcg_at_5 value: 21.982416666666666 - type: precision_at_1 value: 17.777833333333334 - type: precision_at_10 value: 4.3180000000000005 - type: precision_at_100 value: 0.8045833333333333 - type: precision_at_1000 value: 0.12691666666666668 - type: precision_at_3 value: 9.535000000000002 - type: precision_at_5 value: 6.825916666666666 - type: recall_at_1 value: 14.668083333333332 - type: recall_at_10 value: 31.930916666666665 - type: recall_at_100 value: 53.753249999999994 - type: recall_at_1000 value: 77.43366666666667 - type: recall_at_3 value: 22.524250000000002 - type: recall_at_5 value: 26.094916666666666 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 10.096 - type: map_at_10 value: 15.190999999999999 - type: map_at_100 value: 15.922 - type: map_at_1000 value: 16.017 - type: map_at_3 value: 13.664000000000001 - type: map_at_5 value: 14.446 - type: mrr_at_1 value: 12.117 - type: mrr_at_10 value: 17.294 - type: mrr_at_100 value: 18.074 - type: mrr_at_1000 value: 18.153 - type: mrr_at_3 value: 15.823 - type: mrr_at_5 value: 16.59 - type: ndcg_at_1 value: 12.117 - type: ndcg_at_10 value: 18.248 - type: ndcg_at_100 value: 22.418 - type: ndcg_at_1000 value: 25.271 - type: ndcg_at_3 value: 15.368 - type: ndcg_at_5 value: 16.614 - type: precision_at_1 value: 12.117 - type: precision_at_10 value: 3.206 - type: precision_at_100 value: 0.583 - type: precision_at_1000 value: 0.09 - type: precision_at_3 value: 7.106 - type: precision_at_5 value: 5.061 - type: recall_at_1 value: 10.096 - type: recall_at_10 value: 25.624000000000002 - type: recall_at_100 value: 45.49 - type: recall_at_1000 value: 67.392 - type: recall_at_3 value: 17.68 - type: recall_at_5 value: 20.823 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 7.7780000000000005 - type: map_at_10 value: 11.493 - type: map_at_100 value: 12.200999999999999 - type: map_at_1000 value: 12.324 - type: map_at_3 value: 10.244 - type: map_at_5 value: 10.899000000000001 - type: mrr_at_1 value: 9.876 - type: mrr_at_10 value: 14.001 - type: mrr_at_100 value: 14.701 - type: mrr_at_1000 value: 14.799999999999999 - type: mrr_at_3 value: 12.583 - type: mrr_at_5 value: 13.325000000000001 - type: ndcg_at_1 value: 9.876 - type: ndcg_at_10 value: 14.158000000000001 - type: ndcg_at_100 value: 18.038999999999998 - type: ndcg_at_1000 value: 21.58 - type: ndcg_at_3 value: 11.722000000000001 - type: ndcg_at_5 value: 12.769 - type: precision_at_1 value: 9.876 - type: precision_at_10 value: 2.705 - type: precision_at_100 value: 0.555 - type: precision_at_1000 value: 0.10300000000000001 - type: precision_at_3 value: 5.666 - type: precision_at_5 value: 4.178 - type: recall_at_1 value: 7.7780000000000005 - type: recall_at_10 value: 19.86 - type: recall_at_100 value: 38.0 - type: recall_at_1000 value: 64.331 - type: recall_at_3 value: 13.117999999999999 - type: recall_at_5 value: 15.783 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 13.088 - type: map_at_10 value: 17.759 - type: map_at_100 value: 18.597 - type: map_at_1000 value: 18.718 - type: map_at_3 value: 16.232 - type: map_at_5 value: 17.129 - type: mrr_at_1 value: 15.672 - type: mrr_at_10 value: 20.676 - type: mrr_at_100 value: 21.505 - type: mrr_at_1000 value: 21.605 - type: mrr_at_3 value: 18.999 - type: mrr_at_5 value: 19.932 - type: ndcg_at_1 value: 15.672 - type: ndcg_at_10 value: 21.035 - type: ndcg_at_100 value: 25.52 - type: ndcg_at_1000 value: 28.875 - type: ndcg_at_3 value: 18.015 - type: ndcg_at_5 value: 19.476 - type: precision_at_1 value: 15.672 - type: precision_at_10 value: 3.535 - type: precision_at_100 value: 0.652 - type: precision_at_1000 value: 0.106 - type: precision_at_3 value: 8.24 - type: precision_at_5 value: 5.821 - type: recall_at_1 value: 13.088 - type: recall_at_10 value: 28.414 - type: recall_at_100 value: 48.949999999999996 - type: recall_at_1000 value: 73.67399999999999 - type: recall_at_3 value: 19.893 - type: recall_at_5 value: 23.718 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 13.433 - type: map_at_10 value: 19.926 - type: map_at_100 value: 21.11 - type: map_at_1000 value: 21.302 - type: map_at_3 value: 17.991 - type: map_at_5 value: 19.078999999999997 - type: mrr_at_1 value: 17.391000000000002 - type: mrr_at_10 value: 23.433999999999997 - type: mrr_at_100 value: 24.41 - type: mrr_at_1000 value: 24.501 - type: mrr_at_3 value: 21.706 - type: mrr_at_5 value: 22.684 - type: ndcg_at_1 value: 17.391000000000002 - type: ndcg_at_10 value: 24.11 - type: ndcg_at_100 value: 29.500999999999998 - type: ndcg_at_1000 value: 33.093 - type: ndcg_at_3 value: 21.037 - type: ndcg_at_5 value: 22.439 - type: precision_at_1 value: 17.391000000000002 - type: precision_at_10 value: 4.881 - type: precision_at_100 value: 1.138 - type: precision_at_1000 value: 0.2 - type: precision_at_3 value: 10.277 - type: precision_at_5 value: 7.549 - type: recall_at_1 value: 13.433 - type: recall_at_10 value: 32.029 - type: recall_at_100 value: 57.727 - type: recall_at_1000 value: 82.536 - type: recall_at_3 value: 22.914 - type: recall_at_5 value: 26.844 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 11.99 - type: map_at_10 value: 15.956000000000001 - type: map_at_100 value: 16.711000000000002 - type: map_at_1000 value: 16.833000000000002 - type: map_at_3 value: 14.494000000000002 - type: map_at_5 value: 15.159 - type: mrr_at_1 value: 13.123999999999999 - type: mrr_at_10 value: 17.22 - type: mrr_at_100 value: 17.992 - type: mrr_at_1000 value: 18.105 - type: mrr_at_3 value: 15.742 - type: mrr_at_5 value: 16.362 - type: ndcg_at_1 value: 13.123999999999999 - type: ndcg_at_10 value: 18.481 - type: ndcg_at_100 value: 22.719 - type: ndcg_at_1000 value: 26.321 - type: ndcg_at_3 value: 15.509999999999998 - type: ndcg_at_5 value: 16.576 - type: precision_at_1 value: 13.123999999999999 - type: precision_at_10 value: 2.884 - type: precision_at_100 value: 0.545 - type: precision_at_1000 value: 0.094 - type: precision_at_3 value: 6.346 - type: precision_at_5 value: 4.436 - type: recall_at_1 value: 11.99 - type: recall_at_10 value: 25.219 - type: recall_at_100 value: 45.532000000000004 - type: recall_at_1000 value: 73.35199999999999 - type: recall_at_3 value: 17.141000000000002 - type: recall_at_5 value: 19.643 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 7.6240000000000006 - type: map_at_10 value: 13.211999999999998 - type: map_at_100 value: 14.82 - type: map_at_1000 value: 15.039 - type: map_at_3 value: 10.793999999999999 - type: map_at_5 value: 12.035 - type: mrr_at_1 value: 17.459 - type: mrr_at_10 value: 26.590000000000003 - type: mrr_at_100 value: 27.792 - type: mrr_at_1000 value: 27.851 - type: mrr_at_3 value: 23.268 - type: mrr_at_5 value: 25.192999999999998 - type: ndcg_at_1 value: 17.459 - type: ndcg_at_10 value: 19.606 - type: ndcg_at_100 value: 26.87 - type: ndcg_at_1000 value: 31.080000000000002 - type: ndcg_at_3 value: 15.190000000000001 - type: ndcg_at_5 value: 16.85 - type: precision_at_1 value: 17.459 - type: precision_at_10 value: 6.45 - type: precision_at_100 value: 1.421 - type: precision_at_1000 value: 0.219 - type: precision_at_3 value: 11.488 - type: precision_at_5 value: 9.316 - type: recall_at_1 value: 7.6240000000000006 - type: recall_at_10 value: 24.593 - type: recall_at_100 value: 50.300999999999995 - type: recall_at_1000 value: 74.439 - type: recall_at_3 value: 14.097000000000001 - type: recall_at_5 value: 18.362000000000002 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 4.456 - type: map_at_10 value: 9.995 - type: map_at_100 value: 14.196 - type: map_at_1000 value: 15.284 - type: map_at_3 value: 7.02 - type: map_at_5 value: 8.341 - type: mrr_at_1 value: 43.25 - type: mrr_at_10 value: 52.626 - type: mrr_at_100 value: 53.361000000000004 - type: mrr_at_1000 value: 53.396 - type: mrr_at_3 value: 50.208 - type: mrr_at_5 value: 51.696 - type: ndcg_at_1 value: 31.75 - type: ndcg_at_10 value: 24.557000000000002 - type: ndcg_at_100 value: 28.179 - type: ndcg_at_1000 value: 35.42 - type: ndcg_at_3 value: 27.05 - type: ndcg_at_5 value: 25.938 - type: precision_at_1 value: 43.25 - type: precision_at_10 value: 21.95 - type: precision_at_100 value: 7.21 - type: precision_at_1000 value: 1.5310000000000001 - type: precision_at_3 value: 32.25 - type: precision_at_5 value: 28.050000000000004 - type: recall_at_1 value: 4.456 - type: recall_at_10 value: 14.808 - type: recall_at_100 value: 35.062 - type: recall_at_1000 value: 60.111000000000004 - type: recall_at_3 value: 8.333 - type: recall_at_5 value: 10.847999999999999 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 48.275 - type: f1 value: 44.11697299626323 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 16.512 - type: map_at_10 value: 25.102000000000004 - type: map_at_100 value: 26.14 - type: map_at_1000 value: 26.212000000000003 - type: map_at_3 value: 22.531000000000002 - type: map_at_5 value: 23.959 - type: mrr_at_1 value: 17.642 - type: mrr_at_10 value: 26.665 - type: mrr_at_100 value: 27.700000000000003 - type: mrr_at_1000 value: 27.762999999999998 - type: mrr_at_3 value: 24.03 - type: mrr_at_5 value: 25.501 - type: ndcg_at_1 value: 17.642 - type: ndcg_at_10 value: 30.162 - type: ndcg_at_100 value: 35.393 - type: ndcg_at_1000 value: 37.370999999999995 - type: ndcg_at_3 value: 24.878 - type: ndcg_at_5 value: 27.426000000000002 - type: precision_at_1 value: 17.642 - type: precision_at_10 value: 4.845 - type: precision_at_100 value: 0.765 - type: precision_at_1000 value: 0.095 - type: precision_at_3 value: 10.876 - type: precision_at_5 value: 7.864 - type: recall_at_1 value: 16.512 - type: recall_at_10 value: 44.528 - type: recall_at_100 value: 68.794 - type: recall_at_1000 value: 84.055 - type: recall_at_3 value: 30.151 - type: recall_at_5 value: 36.244 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 6.548 - type: map_at_10 value: 11.365 - type: map_at_100 value: 12.659 - type: map_at_1000 value: 12.870999999999999 - type: map_at_3 value: 9.238 - type: map_at_5 value: 10.295 - type: mrr_at_1 value: 13.735 - type: mrr_at_10 value: 19.666 - type: mrr_at_100 value: 20.848 - type: mrr_at_1000 value: 20.951 - type: mrr_at_3 value: 17.335 - type: mrr_at_5 value: 18.616 - type: ndcg_at_1 value: 13.735 - type: ndcg_at_10 value: 15.923000000000002 - type: ndcg_at_100 value: 22.23 - type: ndcg_at_1000 value: 26.893 - type: ndcg_at_3 value: 12.756 - type: ndcg_at_5 value: 13.883999999999999 - type: precision_at_1 value: 13.735 - type: precision_at_10 value: 4.7379999999999995 - type: precision_at_100 value: 1.086 - type: precision_at_1000 value: 0.19 - type: precision_at_3 value: 8.436 - type: precision_at_5 value: 6.7589999999999995 - type: recall_at_1 value: 6.548 - type: recall_at_10 value: 21.267 - type: recall_at_100 value: 46.07 - type: recall_at_1000 value: 74.868 - type: recall_at_3 value: 11.611 - type: recall_at_5 value: 15.284 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 17.387 - type: map_at_10 value: 24.564 - type: map_at_100 value: 25.503999999999998 - type: map_at_1000 value: 25.619999999999997 - type: map_at_3 value: 22.496 - type: map_at_5 value: 23.646 - type: mrr_at_1 value: 34.774 - type: mrr_at_10 value: 41.935 - type: mrr_at_100 value: 42.679 - type: mrr_at_1000 value: 42.737 - type: mrr_at_3 value: 39.883 - type: mrr_at_5 value: 41.063 - type: ndcg_at_1 value: 34.774 - type: ndcg_at_10 value: 31.456 - type: ndcg_at_100 value: 35.827 - type: ndcg_at_1000 value: 38.627 - type: ndcg_at_3 value: 27.534999999999997 - type: ndcg_at_5 value: 29.452 - type: precision_at_1 value: 34.774 - type: precision_at_10 value: 6.97 - type: precision_at_100 value: 1.048 - type: precision_at_1000 value: 0.14200000000000002 - type: precision_at_3 value: 17.349 - type: precision_at_5 value: 11.924 - type: recall_at_1 value: 17.387 - type: recall_at_10 value: 34.848 - type: recall_at_100 value: 52.384 - type: recall_at_1000 value: 71.134 - type: recall_at_3 value: 26.023000000000003 - type: recall_at_5 value: 29.811 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 69.98119999999999 - type: ap value: 64.17725086855937 - type: f1 value: 69.78928359055172 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 6.372999999999999 - type: map_at_10 value: 11.145 - type: map_at_100 value: 12.055 - type: map_at_1000 value: 12.17 - type: map_at_3 value: 9.391 - type: map_at_5 value: 10.270999999999999 - type: mrr_at_1 value: 6.561999999999999 - type: mrr_at_10 value: 11.446000000000002 - type: mrr_at_100 value: 12.359 - type: mrr_at_1000 value: 12.47 - type: mrr_at_3 value: 9.654 - type: mrr_at_5 value: 10.566 - type: ndcg_at_1 value: 6.5329999999999995 - type: ndcg_at_10 value: 14.174000000000001 - type: ndcg_at_100 value: 19.168 - type: ndcg_at_1000 value: 22.579 - type: ndcg_at_3 value: 10.465 - type: ndcg_at_5 value: 12.057 - type: precision_at_1 value: 6.5329999999999995 - type: precision_at_10 value: 2.451 - type: precision_at_100 value: 0.506 - type: precision_at_1000 value: 0.08 - type: precision_at_3 value: 4.58 - type: precision_at_5 value: 3.553 - type: recall_at_1 value: 6.372999999999999 - type: recall_at_10 value: 23.639 - type: recall_at_100 value: 48.012 - type: recall_at_1000 value: 75.368 - type: recall_at_3 value: 13.333 - type: recall_at_5 value: 17.147000000000002 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 91.3953488372093 - type: f1 value: 90.47618297254341 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 61.249430004559954 - type: f1 value: 42.242289025471344 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 65.15131136516476 - type: f1 value: 62.8508450491576 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 71.9670477471419 - type: f1 value: 70.83719077833712 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 31.27049656570754 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 27.8992311215977 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 31.216583547389536 - type: mrr value: 32.31147129597184 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 4.651000000000001 - type: map_at_10 value: 8.924999999999999 - type: map_at_100 value: 11.43 - type: map_at_1000 value: 12.879999999999999 - type: map_at_3 value: 6.718 - type: map_at_5 value: 7.727 - type: mrr_at_1 value: 37.461 - type: mrr_at_10 value: 46.018 - type: mrr_at_100 value: 46.649 - type: mrr_at_1000 value: 46.713 - type: mrr_at_3 value: 43.55 - type: mrr_at_5 value: 44.928000000000004 - type: ndcg_at_1 value: 36.378 - type: ndcg_at_10 value: 27.193 - type: ndcg_at_100 value: 25.840000000000003 - type: ndcg_at_1000 value: 35.382999999999996 - type: ndcg_at_3 value: 31.054 - type: ndcg_at_5 value: 29.523 - type: precision_at_1 value: 37.461 - type: precision_at_10 value: 19.875999999999998 - type: precision_at_100 value: 7.198 - type: precision_at_1000 value: 2.069 - type: precision_at_3 value: 28.38 - type: precision_at_5 value: 25.386999999999997 - type: recall_at_1 value: 4.651000000000001 - type: recall_at_10 value: 13.517999999999999 - type: recall_at_100 value: 28.475 - type: recall_at_1000 value: 61.861999999999995 - type: recall_at_3 value: 7.657 - type: recall_at_5 value: 9.76 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 9.456000000000001 - type: map_at_10 value: 16.392 - type: map_at_100 value: 17.730999999999998 - type: map_at_1000 value: 17.835 - type: map_at_3 value: 13.743 - type: map_at_5 value: 15.262999999999998 - type: mrr_at_1 value: 10.776 - type: mrr_at_10 value: 18.163999999999998 - type: mrr_at_100 value: 19.403000000000002 - type: mrr_at_1000 value: 19.489 - type: mrr_at_3 value: 15.464 - type: mrr_at_5 value: 17.035 - type: ndcg_at_1 value: 10.776 - type: ndcg_at_10 value: 20.959 - type: ndcg_at_100 value: 27.589000000000002 - type: ndcg_at_1000 value: 30.416999999999998 - type: ndcg_at_3 value: 15.552 - type: ndcg_at_5 value: 18.275 - type: precision_at_1 value: 10.776 - type: precision_at_10 value: 3.94 - type: precision_at_100 value: 0.763 - type: precision_at_1000 value: 0.10300000000000001 - type: precision_at_3 value: 7.396999999999999 - type: precision_at_5 value: 5.933 - type: recall_at_1 value: 9.456000000000001 - type: recall_at_10 value: 33.394 - type: recall_at_100 value: 63.915 - type: recall_at_1000 value: 85.598 - type: recall_at_3 value: 19.098000000000003 - type: recall_at_5 value: 25.466 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 64.744 - type: map_at_10 value: 77.86 - type: map_at_100 value: 78.58800000000001 - type: map_at_1000 value: 78.617 - type: map_at_3 value: 74.788 - type: map_at_5 value: 76.716 - type: mrr_at_1 value: 74.49 - type: mrr_at_10 value: 81.843 - type: mrr_at_100 value: 82.035 - type: mrr_at_1000 value: 82.038 - type: mrr_at_3 value: 80.39 - type: mrr_at_5 value: 81.372 - type: ndcg_at_1 value: 74.59 - type: ndcg_at_10 value: 82.459 - type: ndcg_at_100 value: 84.34899999999999 - type: ndcg_at_1000 value: 84.626 - type: ndcg_at_3 value: 78.821 - type: ndcg_at_5 value: 80.83500000000001 - type: precision_at_1 value: 74.59 - type: precision_at_10 value: 12.494 - type: precision_at_100 value: 1.477 - type: precision_at_1000 value: 0.155 - type: precision_at_3 value: 34.233000000000004 - type: precision_at_5 value: 22.747999999999998 - type: recall_at_1 value: 64.744 - type: recall_at_10 value: 91.355 - type: recall_at_100 value: 98.30799999999999 - type: recall_at_1000 value: 99.766 - type: recall_at_3 value: 81.109 - type: recall_at_5 value: 86.572 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 46.254882422464526 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 50.94989318333412 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 2.868 - type: map_at_10 value: 7.155 - type: map_at_100 value: 8.651 - type: map_at_1000 value: 8.921 - type: map_at_3 value: 5.197 - type: map_at_5 value: 6.168 - type: mrr_at_1 value: 14.099999999999998 - type: mrr_at_10 value: 22.528000000000002 - type: mrr_at_100 value: 23.730999999999998 - type: mrr_at_1000 value: 23.827 - type: mrr_at_3 value: 19.683 - type: mrr_at_5 value: 21.233 - type: ndcg_at_1 value: 14.099999999999998 - type: ndcg_at_10 value: 12.756 - type: ndcg_at_100 value: 19.49 - type: ndcg_at_1000 value: 24.942 - type: ndcg_at_3 value: 11.905000000000001 - type: ndcg_at_5 value: 10.474 - type: precision_at_1 value: 14.099999999999998 - type: precision_at_10 value: 6.7299999999999995 - type: precision_at_100 value: 1.657 - type: precision_at_1000 value: 0.297 - type: precision_at_3 value: 11.200000000000001 - type: precision_at_5 value: 9.3 - type: recall_at_1 value: 2.868 - type: recall_at_10 value: 13.613 - type: recall_at_100 value: 33.645 - type: recall_at_1000 value: 60.372 - type: recall_at_3 value: 6.808 - type: recall_at_5 value: 9.418 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 77.98965504956827 - type: cos_sim_spearman value: 68.28460263921258 - type: euclidean_pearson value: 73.50270698016448 - type: euclidean_spearman value: 68.28468403646217 - type: manhattan_pearson value: 72.8261914195885 - type: manhattan_spearman value: 67.86873546122553 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 77.14830947681742 - type: cos_sim_spearman value: 68.60266030636393 - type: euclidean_pearson value: 72.88451477994006 - type: euclidean_spearman value: 68.60389167221209 - type: manhattan_pearson value: 71.89880964464528 - type: manhattan_spearman value: 68.11051648970675 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 78.72037928360238 - type: cos_sim_spearman value: 79.74389537608737 - type: euclidean_pearson value: 79.39980926218213 - type: euclidean_spearman value: 79.74393317465844 - type: manhattan_pearson value: 78.7481714360194 - type: manhattan_spearman value: 79.05784658583435 - task: type: STS dataset: type: None name: MTEB STS14 config: default split: test revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 metrics: - 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type: euclidean_spearman value: 79.07335507859334 - type: manhattan_pearson value: 78.146156004842 - type: manhattan_spearman value: 78.85783029933849 - task: type: STS dataset: type: None name: MTEB STS17 (en-en) config: en-en split: test revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d metrics: - type: cos_sim_pearson value: 84.74773705987958 - type: cos_sim_spearman value: 85.73402749289298 - type: euclidean_pearson value: 85.18510280404286 - type: euclidean_spearman value: 85.73490066116952 - type: manhattan_pearson value: 84.93638596678905 - type: manhattan_spearman value: 85.5315548466084 - task: type: STS dataset: type: None name: MTEB STS22 (en) config: en split: test revision: eea2b4fe26a775864c896887d910b76a8098ad3f metrics: - type: cos_sim_pearson value: 59.17015437324628 - type: cos_sim_spearman value: 59.75467857816752 - type: euclidean_pearson value: 60.812443155269534 - type: euclidean_spearman value: 59.75467857816752 - type: manhattan_pearson value: 59.950493146979255 - 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task: type: Clustering dataset: type: None name: MTEB StackExchangeClustering config: default split: test revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 metrics: - type: v_measure value: 49.394155025012324 - task: type: Clustering dataset: type: None name: MTEB StackExchangeClusteringP2P config: default split: test revision: 815ca46b2622cec33ccafc3735d572c266efdb44 metrics: - type: v_measure value: 30.32321222461949 - task: type: Reranking dataset: type: None name: MTEB StackOverflowDupQuestions config: default split: test revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 metrics: - type: map value: 43.523517787741575 - type: mrr value: 44.07447638146168 - task: type: Summarization dataset: type: None name: MTEB SummEval config: default split: test revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c metrics: - type: cos_sim_pearson value: 31.28542082978425 - type: cos_sim_spearman value: 30.039804865964005 - type: dot_pearson value: 31.28542082880828 - type: dot_spearman value: 30.051397798547818 - task: type: Retrieval dataset: type: None name: MTEB TRECCOVID config: default split: test revision: None metrics: - type: map_at_1 value: 0.157 - type: map_at_10 value: 0.989 - type: map_at_100 value: 5.3580000000000005 - type: map_at_1000 value: 13.614999999999998 - type: map_at_3 value: 0.391 - type: map_at_5 value: 0.557 - type: mrr_at_1 value: 57.99999999999999 - type: mrr_at_10 value: 69.039 - type: mrr_at_100 value: 69.618 - type: mrr_at_1000 value: 69.618 - type: mrr_at_3 value: 67.667 - type: mrr_at_5 value: 68.56700000000001 - type: ndcg_at_1 value: 55.00000000000001 - type: ndcg_at_10 value: 48.394 - type: ndcg_at_100 value: 37.158 - type: ndcg_at_1000 value: 34.204 - type: ndcg_at_3 value: 53.754000000000005 - type: ndcg_at_5 value: 50.712999999999994 - type: precision_at_1 value: 57.99999999999999 - type: precision_at_10 value: 51.800000000000004 - type: precision_at_100 value: 39.26 - type: precision_at_1000 value: 16.503999999999998 - type: precision_at_3 value: 57.333 - type: precision_at_5 value: 52.800000000000004 - type: recall_at_1 value: 0.157 - type: recall_at_10 value: 1.238 - type: recall_at_100 value: 8.674 - type: recall_at_1000 value: 33.222 - type: recall_at_3 value: 0.436 - type: recall_at_5 value: 0.643 - task: type: Retrieval dataset: type: None name: MTEB Touche2020 config: default split: test revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f metrics: - type: map_at_1 value: 1.385 - type: map_at_10 value: 7.414 - type: map_at_100 value: 13.084999999999999 - type: map_at_1000 value: 14.765 - type: map_at_3 value: 3.5909999999999997 - type: map_at_5 value: 5.402 - type: mrr_at_1 value: 20.408 - type: mrr_at_10 value: 37.669000000000004 - type: mrr_at_100 value: 38.823 - type: mrr_at_1000 value: 38.823 - type: mrr_at_3 value: 33.672999999999995 - type: mrr_at_5 value: 35.612 - type: ndcg_at_1 value: 19.387999999999998 - type: ndcg_at_10 value: 19.288 - type: ndcg_at_100 value: 33.376 - type: ndcg_at_1000 value: 45.28 - type: ndcg_at_3 value: 20.511 - 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type: f1 value: 60.47726202926952 - task: type: Clustering dataset: type: None name: MTEB TwentyNewsgroupsClustering config: default split: test revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 metrics: - type: v_measure value: 42.20230019842334 - task: type: PairClassification dataset: type: None name: MTEB TwitterSemEval2015 config: default split: test revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 metrics: - type: cos_sim_accuracy value: 83.32240567443525 - type: cos_sim_ap value: 63.95052535841297 - type: cos_sim_f1 value: 60.78094302554028 - type: cos_sim_precision value: 56.844281120808446 - type: cos_sim_recall value: 65.30343007915567 - type: dot_accuracy value: 83.32240567443525 - type: dot_ap value: 63.95052535841297 - type: dot_f1 value: 60.78094302554028 - type: dot_precision value: 56.844281120808446 - type: dot_recall value: 65.30343007915567 - type: euclidean_accuracy value: 83.32240567443525 - type: euclidean_ap value: 63.95052535841297 - type: euclidean_f1 value: 60.78094302554028 - type: euclidean_precision value: 56.844281120808446 - type: euclidean_recall value: 65.30343007915567 - type: manhattan_accuracy value: 83.30452405078381 - type: manhattan_ap value: 63.82521079916541 - type: manhattan_f1 value: 60.567750833237554 - type: manhattan_precision value: 53.65506006923234 - type: manhattan_recall value: 69.52506596306068 - type: max_accuracy value: 83.32240567443525 - type: max_ap value: 63.95052535841297 - type: max_f1 value: 60.78094302554028 - task: type: PairClassification dataset: type: None name: MTEB TwitterURLCorpus config: default split: test revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy value: 87.51309814879497 - type: cos_sim_ap value: 83.04143677647984 - type: cos_sim_f1 value: 75.14412661109682 - type: cos_sim_precision value: 71.82871182871183 - type: cos_sim_recall value: 78.78041268863566 - type: dot_accuracy value: 87.51309814879497 - type: dot_ap value: 83.0414382592019 - type: dot_f1 value: 75.14412661109682 - type: dot_precision value: 71.82871182871183 - type: dot_recall value: 78.78041268863566 - type: euclidean_accuracy value: 87.51309814879497 - type: euclidean_ap value: 83.04144849399968 - type: euclidean_f1 value: 75.14412661109682 - type: euclidean_precision value: 71.82871182871183 - type: euclidean_recall value: 78.78041268863566 - type: manhattan_accuracy value: 87.50921721581868 - type: manhattan_ap value: 82.97187030449552 - type: manhattan_f1 value: 74.93584260051325 - type: manhattan_precision value: 72.48003453485863 - type: manhattan_recall value: 77.56390514320911 - type: max_accuracy value: 87.51309814879497 - type: max_ap value: 83.04144849399968 - type: max_f1 value: 75.14412661109682 ---