--- tags: - mteb model-index: - name: gte-base-en-v1.5_embs_nofiltering_sortlenTrue_phrase2sent_512_15epoch__adam0.001_accum1_best_epoch_2611200_bs128_result results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 75.02985074626866 - type: ap value: 38.2391132433526 - type: f1 value: 69.06974168824816 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 74.00564999999999 - type: ap value: 68.12255640587608 - type: f1 value: 73.88644324572483 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 39.46000000000001 - type: f1 value: 38.77579430134605 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 21.337 - type: map_at_10 value: 36.104 - type: map_at_100 value: 37.363 - type: map_at_1000 value: 37.38 - type: map_at_3 value: 31.46 - type: map_at_5 value: 33.861000000000004 - type: mrr_at_1 value: 22.119 - type: mrr_at_10 value: 36.379 - type: mrr_at_100 value: 37.644 - type: mrr_at_1000 value: 37.662 - type: mrr_at_3 value: 31.745 - type: mrr_at_5 value: 34.12 - type: ndcg_at_1 value: 21.337 - type: ndcg_at_10 value: 44.557 - type: ndcg_at_100 value: 50.072 - type: ndcg_at_1000 value: 50.499 - type: ndcg_at_3 value: 34.794000000000004 - type: ndcg_at_5 value: 39.125 - type: precision_at_1 value: 21.337 - type: precision_at_10 value: 7.176 - type: precision_at_100 value: 0.962 - type: precision_at_1000 value: 0.1 - type: precision_at_3 value: 14.817 - type: precision_at_5 value: 10.996 - type: recall_at_1 value: 21.337 - type: recall_at_10 value: 71.764 - type: recall_at_100 value: 96.23 - type: recall_at_1000 value: 99.502 - type: recall_at_3 value: 44.452000000000005 - type: recall_at_5 value: 54.979 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 38.36878876355172 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 28.19433994044647 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 54.16001797554904 - type: mrr value: 67.81130457723256 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 82.1086837226076 - type: cos_sim_spearman value: 80.60966807127197 - type: euclidean_pearson value: 80.73535719827952 - type: euclidean_spearman value: 80.60966807127197 - type: manhattan_pearson value: 79.10544477221981 - type: manhattan_spearman value: 79.59759681777079 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 75.1525974025974 - type: f1 value: 74.45181803662257 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 34.568758810321945 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 25.645931603960374 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 21.36 - type: map_at_10 value: 29.034 - type: map_at_100 value: 30.197000000000003 - type: map_at_1000 value: 30.36 - type: map_at_3 value: 26.334999999999997 - type: map_at_5 value: 27.894999999999996 - type: mrr_at_1 value: 27.325 - type: mrr_at_10 value: 34.975 - type: mrr_at_100 value: 35.787 - type: mrr_at_1000 value: 35.864000000000004 - type: mrr_at_3 value: 32.761 - type: mrr_at_5 value: 34.083999999999996 - type: ndcg_at_1 value: 27.325 - type: ndcg_at_10 value: 34.302 - type: ndcg_at_100 value: 39.35 - type: ndcg_at_1000 value: 42.516999999999996 - type: ndcg_at_3 value: 30.336000000000002 - type: ndcg_at_5 value: 32.234 - type: precision_at_1 value: 27.325 - type: precision_at_10 value: 6.694999999999999 - type: precision_at_100 value: 1.157 - type: precision_at_1000 value: 0.17500000000000002 - type: precision_at_3 value: 14.926 - type: precision_at_5 value: 11.044 - type: recall_at_1 value: 21.36 - type: recall_at_10 value: 43.64 - type: recall_at_100 value: 66.219 - type: recall_at_1000 value: 87.675 - type: recall_at_3 value: 31.34 - type: recall_at_5 value: 36.896 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 19.008 - type: map_at_10 value: 25.762 - type: map_at_100 value: 26.819 - type: map_at_1000 value: 26.944000000000003 - type: map_at_3 value: 23.688000000000002 - type: map_at_5 value: 24.844 - type: mrr_at_1 value: 24.204 - type: mrr_at_10 value: 30.325999999999997 - type: mrr_at_100 value: 31.151 - type: mrr_at_1000 value: 31.22 - type: mrr_at_3 value: 28.311999999999998 - type: mrr_at_5 value: 29.424 - type: ndcg_at_1 value: 24.204 - type: ndcg_at_10 value: 30.020999999999997 - type: ndcg_at_100 value: 34.632000000000005 - type: ndcg_at_1000 value: 37.462 - type: ndcg_at_3 value: 26.607999999999997 - type: ndcg_at_5 value: 28.105999999999998 - type: precision_at_1 value: 24.204 - type: precision_at_10 value: 5.624 - type: precision_at_100 value: 1.012 - type: precision_at_1000 value: 0.151 - type: precision_at_3 value: 12.887 - type: precision_at_5 value: 9.159 - type: recall_at_1 value: 19.008 - type: recall_at_10 value: 38.156 - type: recall_at_100 value: 58.158 - type: recall_at_1000 value: 77.471 - type: recall_at_3 value: 27.964 - type: recall_at_5 value: 32.221 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 27.833999999999996 - type: map_at_10 value: 36.896 - type: map_at_100 value: 38.002 - type: map_at_1000 value: 38.088 - type: map_at_3 value: 34.283 - type: map_at_5 value: 35.754999999999995 - type: mrr_at_1 value: 32.351 - type: mrr_at_10 value: 40.275 - type: mrr_at_100 value: 41.152 - type: mrr_at_1000 value: 41.204 - type: mrr_at_3 value: 37.973 - type: mrr_at_5 value: 39.242 - type: ndcg_at_1 value: 32.351 - type: ndcg_at_10 value: 41.867 - type: ndcg_at_100 value: 47.073 - type: ndcg_at_1000 value: 49.125 - type: ndcg_at_3 value: 37.129 - type: ndcg_at_5 value: 39.361000000000004 - type: precision_at_1 value: 32.351 - type: precision_at_10 value: 6.765000000000001 - type: precision_at_100 value: 1.0330000000000001 - type: precision_at_1000 value: 0.129 - type: precision_at_3 value: 16.489 - type: precision_at_5 value: 11.398 - type: recall_at_1 value: 27.833999999999996 - type: recall_at_10 value: 53.668000000000006 - type: recall_at_100 value: 77.114 - type: recall_at_1000 value: 92.131 - type: recall_at_3 value: 40.745 - type: recall_at_5 value: 46.375 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 12.863 - type: map_at_10 value: 17.881 - type: map_at_100 value: 18.742 - type: map_at_1000 value: 18.86 - type: map_at_3 value: 16.485 - type: map_at_5 value: 17.262 - type: mrr_at_1 value: 13.898 - type: mrr_at_10 value: 19.152 - type: mrr_at_100 value: 20.007 - type: mrr_at_1000 value: 20.116 - type: mrr_at_3 value: 17.759 - type: mrr_at_5 value: 18.544 - type: ndcg_at_1 value: 13.898 - type: ndcg_at_10 value: 20.818 - type: ndcg_at_100 value: 25.342 - type: ndcg_at_1000 value: 28.895 - type: ndcg_at_3 value: 18.034 - type: ndcg_at_5 value: 19.367 - type: precision_at_1 value: 13.898 - type: precision_at_10 value: 3.254 - type: precision_at_100 value: 0.582 - type: precision_at_1000 value: 0.094 - type: precision_at_3 value: 7.8340000000000005 - type: precision_at_5 value: 5.446 - type: recall_at_1 value: 12.863 - type: recall_at_10 value: 28.636 - type: recall_at_100 value: 50.112 - type: recall_at_1000 value: 77.828 - type: recall_at_3 value: 21.087 - type: recall_at_5 value: 24.307000000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 7.8020000000000005 - type: map_at_10 value: 11.673 - type: map_at_100 value: 12.462 - type: map_at_1000 value: 12.589 - type: map_at_3 value: 10.035 - type: map_at_5 value: 10.699 - type: mrr_at_1 value: 9.826 - type: mrr_at_10 value: 14.248 - type: mrr_at_100 value: 15.057 - type: mrr_at_1000 value: 15.156 - type: mrr_at_3 value: 12.5 - type: mrr_at_5 value: 13.221 - type: ndcg_at_1 value: 9.826 - type: ndcg_at_10 value: 14.818999999999999 - type: ndcg_at_100 value: 19.309 - type: ndcg_at_1000 value: 22.954 - type: ndcg_at_3 value: 11.535 - type: ndcg_at_5 value: 12.577 - type: precision_at_1 value: 9.826 - type: precision_at_10 value: 2.923 - type: precision_at_100 value: 0.618 - type: precision_at_1000 value: 0.105 - type: precision_at_3 value: 5.5969999999999995 - type: precision_at_5 value: 4.08 - type: recall_at_1 value: 7.8020000000000005 - type: recall_at_10 value: 22.141 - type: recall_at_100 value: 42.653999999999996 - type: recall_at_1000 value: 70.02199999999999 - type: recall_at_3 value: 13.020000000000001 - type: recall_at_5 value: 15.645999999999999 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 18.532 - type: map_at_10 value: 24.692 - type: map_at_100 value: 26.023000000000003 - type: map_at_1000 value: 26.165 - type: map_at_3 value: 22.522000000000002 - type: map_at_5 value: 23.694000000000003 - type: mrr_at_1 value: 22.618 - type: mrr_at_10 value: 29.334 - type: mrr_at_100 value: 30.348999999999997 - type: mrr_at_1000 value: 30.435000000000002 - type: mrr_at_3 value: 26.997 - type: mrr_at_5 value: 28.282 - type: ndcg_at_1 value: 22.618 - type: ndcg_at_10 value: 29.188 - type: ndcg_at_100 value: 35.213 - type: ndcg_at_1000 value: 38.471 - type: ndcg_at_3 value: 25.313999999999997 - type: ndcg_at_5 value: 27.057 - type: precision_at_1 value: 22.618 - type: precision_at_10 value: 5.38 - type: precision_at_100 value: 1.0 - type: precision_at_1000 value: 0.149 - type: precision_at_3 value: 11.741999999999999 - type: precision_at_5 value: 8.662 - type: recall_at_1 value: 18.532 - type: recall_at_10 value: 38.164 - type: recall_at_100 value: 64.197 - type: recall_at_1000 value: 86.75399999999999 - type: recall_at_3 value: 27.262999999999998 - type: recall_at_5 value: 31.651 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 15.257000000000001 - type: map_at_10 value: 20.762 - type: map_at_100 value: 21.956999999999997 - type: map_at_1000 value: 22.102 - type: map_at_3 value: 18.826999999999998 - type: map_at_5 value: 19.911 - type: mrr_at_1 value: 18.836 - type: mrr_at_10 value: 24.484 - type: mrr_at_100 value: 25.561 - type: mrr_at_1000 value: 25.651000000000003 - type: mrr_at_3 value: 22.546 - type: mrr_at_5 value: 23.613 - type: ndcg_at_1 value: 18.836 - type: ndcg_at_10 value: 24.465999999999998 - type: ndcg_at_100 value: 30.337999999999997 - type: ndcg_at_1000 value: 33.775 - type: ndcg_at_3 value: 21.029 - type: ndcg_at_5 value: 22.576 - type: precision_at_1 value: 18.836 - type: precision_at_10 value: 4.5089999999999995 - type: precision_at_100 value: 0.895 - type: precision_at_1000 value: 0.13799999999999998 - type: precision_at_3 value: 9.893 - type: precision_at_5 value: 7.146 - type: recall_at_1 value: 15.257000000000001 - type: recall_at_10 value: 32.062000000000005 - type: recall_at_100 value: 57.577 - type: recall_at_1000 value: 81.75 - type: recall_at_3 value: 22.579 - type: recall_at_5 value: 26.613999999999997 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 15.333916666666667 - type: map_at_10 value: 20.908583333333333 - type: map_at_100 value: 21.891333333333332 - type: map_at_1000 value: 22.02225 - type: map_at_3 value: 19.053833333333333 - type: map_at_5 value: 20.053916666666666 - type: mrr_at_1 value: 18.5485 - type: mrr_at_10 value: 24.15733333333333 - type: mrr_at_100 value: 25.01325 - type: mrr_at_1000 value: 25.101000000000003 - type: mrr_at_3 value: 22.34708333333333 - type: mrr_at_5 value: 23.317833333333336 - type: ndcg_at_1 value: 18.5485 - type: ndcg_at_10 value: 24.614 - type: ndcg_at_100 value: 29.431166666666662 - type: ndcg_at_1000 value: 32.6675 - type: ndcg_at_3 value: 21.285083333333336 - type: ndcg_at_5 value: 22.751416666666664 - type: precision_at_1 value: 18.5485 - type: precision_at_10 value: 4.4013333333333335 - type: precision_at_100 value: 0.8160000000000001 - type: precision_at_1000 value: 0.12825 - type: precision_at_3 value: 9.847916666666666 - type: precision_at_5 value: 7.069166666666668 - type: recall_at_1 value: 15.333916666666667 - type: recall_at_10 value: 32.5695 - type: recall_at_100 value: 54.50375 - type: recall_at_1000 value: 78.02300000000001 - type: recall_at_3 value: 23.115000000000002 - type: recall_at_5 value: 26.968416666666666 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 11.745 - type: map_at_10 value: 16.406000000000002 - type: map_at_100 value: 17.157 - type: map_at_1000 value: 17.249 - type: map_at_3 value: 14.835999999999999 - type: map_at_5 value: 15.803 - type: mrr_at_1 value: 13.804 - type: mrr_at_10 value: 18.55 - type: mrr_at_100 value: 19.306 - type: mrr_at_1000 value: 19.38 - type: mrr_at_3 value: 17.05 - type: mrr_at_5 value: 17.947 - type: ndcg_at_1 value: 13.804 - type: ndcg_at_10 value: 19.339000000000002 - type: ndcg_at_100 value: 23.624000000000002 - type: ndcg_at_1000 value: 26.301999999999996 - type: ndcg_at_3 value: 16.454 - type: ndcg_at_5 value: 17.999000000000002 - type: precision_at_1 value: 13.804 - type: precision_at_10 value: 3.282 - type: precision_at_100 value: 0.598 - type: precision_at_1000 value: 0.091 - type: precision_at_3 value: 7.413 - type: precision_at_5 value: 5.428999999999999 - type: recall_at_1 value: 11.745 - type: recall_at_10 value: 26.255 - type: recall_at_100 value: 46.888000000000005 - type: recall_at_1000 value: 67.131 - type: recall_at_3 value: 18.434 - type: recall_at_5 value: 22.328 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 8.119 - type: map_at_10 value: 11.944 - type: map_at_100 value: 12.647 - type: map_at_1000 value: 12.770000000000001 - type: map_at_3 value: 10.612 - type: map_at_5 value: 11.292 - type: mrr_at_1 value: 10.22 - type: mrr_at_10 value: 14.496 - type: mrr_at_100 value: 15.18 - type: mrr_at_1000 value: 15.279000000000002 - type: mrr_at_3 value: 12.979 - type: mrr_at_5 value: 13.755 - type: ndcg_at_1 value: 10.22 - type: ndcg_at_10 value: 14.687 - type: ndcg_at_100 value: 18.543000000000003 - type: ndcg_at_1000 value: 22.099 - type: ndcg_at_3 value: 12.076 - type: ndcg_at_5 value: 13.161999999999999 - type: precision_at_1 value: 10.22 - type: precision_at_10 value: 2.822 - type: precision_at_100 value: 0.565 - type: precision_at_1000 value: 0.104 - type: precision_at_3 value: 5.781 - type: precision_at_5 value: 4.301 - type: recall_at_1 value: 8.119 - type: recall_at_10 value: 20.527 - type: recall_at_100 value: 38.719 - type: recall_at_1000 value: 65.16300000000001 - type: recall_at_3 value: 13.275 - type: recall_at_5 value: 15.998999999999999 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 13.334999999999999 - type: map_at_10 value: 18.194 - type: map_at_100 value: 19.049 - type: map_at_1000 value: 19.17 - type: map_at_3 value: 16.625 - type: map_at_5 value: 17.509 - type: mrr_at_1 value: 16.231 - type: mrr_at_10 value: 21.308 - type: mrr_at_100 value: 22.154 - type: mrr_at_1000 value: 22.25 - type: mrr_at_3 value: 19.761 - type: mrr_at_5 value: 20.567 - type: ndcg_at_1 value: 16.231 - type: ndcg_at_10 value: 21.525 - type: ndcg_at_100 value: 26.008 - type: ndcg_at_1000 value: 29.351 - type: ndcg_at_3 value: 18.54 - type: ndcg_at_5 value: 19.916 - type: precision_at_1 value: 16.231 - type: precision_at_10 value: 3.6470000000000002 - type: precision_at_100 value: 0.655 - type: precision_at_1000 value: 0.106 - type: precision_at_3 value: 8.488999999999999 - type: precision_at_5 value: 6.007 - type: recall_at_1 value: 13.334999999999999 - type: recall_at_10 value: 28.804999999999996 - type: recall_at_100 value: 49.303000000000004 - type: recall_at_1000 value: 73.95 - type: recall_at_3 value: 20.531 - type: recall_at_5 value: 24.067 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 16.002 - type: map_at_10 value: 21.282 - type: map_at_100 value: 22.518 - type: map_at_1000 value: 22.728 - type: map_at_3 value: 19.463 - type: map_at_5 value: 20.314 - type: mrr_at_1 value: 19.96 - type: mrr_at_10 value: 25.084 - type: mrr_at_100 value: 26.028000000000002 - type: mrr_at_1000 value: 26.119999999999997 - type: mrr_at_3 value: 23.352999999999998 - type: mrr_at_5 value: 24.203 - type: ndcg_at_1 value: 19.96 - type: ndcg_at_10 value: 25.275 - type: ndcg_at_100 value: 30.574 - type: ndcg_at_1000 value: 34.359 - type: ndcg_at_3 value: 22.281000000000002 - type: ndcg_at_5 value: 23.32 - type: precision_at_1 value: 19.96 - type: precision_at_10 value: 4.920999999999999 - type: precision_at_100 value: 1.1320000000000001 - type: precision_at_1000 value: 0.20400000000000001 - type: precision_at_3 value: 10.408000000000001 - type: precision_at_5 value: 7.352 - type: recall_at_1 value: 16.002 - type: recall_at_10 value: 32.452 - type: recall_at_100 value: 57.297 - type: recall_at_1000 value: 83.332 - type: recall_at_3 value: 23.101 - type: recall_at_5 value: 26.395999999999997 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 12.15 - type: map_at_10 value: 16.377 - type: map_at_100 value: 17.122999999999998 - type: map_at_1000 value: 17.241999999999997 - type: map_at_3 value: 14.935 - type: map_at_5 value: 15.669 - type: mrr_at_1 value: 13.309000000000001 - type: mrr_at_10 value: 17.656 - type: mrr_at_100 value: 18.427 - type: mrr_at_1000 value: 18.537 - type: mrr_at_3 value: 16.174 - type: mrr_at_5 value: 16.932 - type: ndcg_at_1 value: 13.309000000000001 - type: ndcg_at_10 value: 19.061 - type: ndcg_at_100 value: 23.168 - type: ndcg_at_1000 value: 26.700000000000003 - type: ndcg_at_3 value: 16.085 - type: ndcg_at_5 value: 17.342 - type: precision_at_1 value: 13.309000000000001 - type: precision_at_10 value: 2.994 - type: precision_at_100 value: 0.545 - type: precision_at_1000 value: 0.093 - type: precision_at_3 value: 6.715999999999999 - type: precision_at_5 value: 4.806 - type: recall_at_1 value: 12.15 - type: recall_at_10 value: 26.328000000000003 - type: recall_at_100 value: 45.806999999999995 - type: recall_at_1000 value: 73.06899999999999 - type: recall_at_3 value: 18.041 - type: recall_at_5 value: 21.121000000000002 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 7.675999999999999 - type: map_at_10 value: 13.600000000000001 - type: map_at_100 value: 15.287999999999998 - type: map_at_1000 value: 15.508 - type: map_at_3 value: 11.256 - type: map_at_5 value: 12.312 - type: mrr_at_1 value: 17.459 - type: mrr_at_10 value: 27.166 - type: mrr_at_100 value: 28.406 - type: mrr_at_1000 value: 28.464 - type: mrr_at_3 value: 23.931 - type: mrr_at_5 value: 25.66 - type: ndcg_at_1 value: 17.459 - type: ndcg_at_10 value: 20.146 - type: ndcg_at_100 value: 27.625 - type: ndcg_at_1000 value: 31.819999999999997 - type: ndcg_at_3 value: 15.870999999999999 - type: ndcg_at_5 value: 17.158 - type: precision_at_1 value: 17.459 - type: precision_at_10 value: 6.638 - type: precision_at_100 value: 1.4569999999999999 - type: precision_at_1000 value: 0.22300000000000003 - type: precision_at_3 value: 12.074 - type: precision_at_5 value: 9.407 - type: recall_at_1 value: 7.675999999999999 - type: recall_at_10 value: 25.267 - type: recall_at_100 value: 51.69200000000001 - type: recall_at_1000 value: 75.58 - type: recall_at_3 value: 14.901 - type: recall_at_5 value: 18.543000000000003 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 4.424 - type: map_at_10 value: 10.278 - type: map_at_100 value: 14.516000000000002 - type: map_at_1000 value: 15.584999999999999 - type: map_at_3 value: 7.179 - type: map_at_5 value: 8.556 - type: mrr_at_1 value: 42.0 - type: mrr_at_10 value: 52.653000000000006 - type: mrr_at_100 value: 53.33599999999999 - type: mrr_at_1000 value: 53.364999999999995 - type: mrr_at_3 value: 50.542 - type: mrr_at_5 value: 51.803999999999995 - type: ndcg_at_1 value: 31.624999999999996 - type: ndcg_at_10 value: 25.167 - type: ndcg_at_100 value: 28.766000000000002 - type: ndcg_at_1000 value: 35.959 - type: ndcg_at_3 value: 27.807 - type: ndcg_at_5 value: 26.569 - type: precision_at_1 value: 42.0 - type: precision_at_10 value: 22.5 - type: precision_at_100 value: 7.295 - type: precision_at_1000 value: 1.543 - type: precision_at_3 value: 33.5 - type: precision_at_5 value: 29.099999999999998 - type: recall_at_1 value: 4.424 - type: recall_at_10 value: 15.359 - type: recall_at_100 value: 35.99 - type: recall_at_1000 value: 60.707 - type: recall_at_3 value: 8.803999999999998 - type: recall_at_5 value: 11.349 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 48.99 - type: f1 value: 44.72383731785718 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 17.753 - type: map_at_10 value: 26.762999999999998 - type: map_at_100 value: 27.773999999999997 - type: map_at_1000 value: 27.845 - type: map_at_3 value: 24.096 - type: map_at_5 value: 25.6 - type: mrr_at_1 value: 19.022 - type: mrr_at_10 value: 28.46 - type: mrr_at_100 value: 29.462 - type: mrr_at_1000 value: 29.520999999999997 - type: mrr_at_3 value: 25.679999999999996 - type: mrr_at_5 value: 27.272999999999996 - type: ndcg_at_1 value: 19.022 - type: ndcg_at_10 value: 32.063 - type: ndcg_at_100 value: 37.169999999999995 - type: ndcg_at_1000 value: 39.048 - type: ndcg_at_3 value: 26.558999999999997 - type: ndcg_at_5 value: 29.266 - type: precision_at_1 value: 19.022 - type: precision_at_10 value: 5.119 - type: precision_at_100 value: 0.786 - type: precision_at_1000 value: 0.097 - type: precision_at_3 value: 11.571 - type: precision_at_5 value: 8.368 - type: recall_at_1 value: 17.753 - type: recall_at_10 value: 47.061 - type: recall_at_100 value: 70.75200000000001 - type: recall_at_1000 value: 85.134 - type: recall_at_3 value: 32.049 - type: recall_at_5 value: 38.556000000000004 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 6.845 - type: map_at_10 value: 11.806999999999999 - type: map_at_100 value: 13.104 - type: map_at_1000 value: 13.317 - type: map_at_3 value: 9.746 - type: map_at_5 value: 10.806000000000001 - type: mrr_at_1 value: 13.889000000000001 - type: mrr_at_10 value: 20.456 - type: mrr_at_100 value: 21.572 - type: mrr_at_1000 value: 21.666 - type: mrr_at_3 value: 18.184 - type: mrr_at_5 value: 19.387999999999998 - type: ndcg_at_1 value: 13.889000000000001 - type: ndcg_at_10 value: 16.552 - type: ndcg_at_100 value: 22.817999999999998 - type: ndcg_at_1000 value: 27.401999999999997 - type: ndcg_at_3 value: 13.527000000000001 - type: ndcg_at_5 value: 14.6 - type: precision_at_1 value: 13.889000000000001 - type: precision_at_10 value: 4.984999999999999 - type: precision_at_100 value: 1.097 - type: precision_at_1000 value: 0.191 - type: precision_at_3 value: 9.208 - type: precision_at_5 value: 7.13 - type: recall_at_1 value: 6.845 - type: recall_at_10 value: 22.012999999999998 - type: recall_at_100 value: 46.75 - type: recall_at_1000 value: 74.945 - type: recall_at_3 value: 12.352 - type: recall_at_5 value: 16.217000000000002 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 18.886 - type: map_at_10 value: 26.729999999999997 - type: map_at_100 value: 27.732 - type: map_at_1000 value: 27.85 - type: map_at_3 value: 24.57 - type: map_at_5 value: 25.774 - type: mrr_at_1 value: 37.772 - type: mrr_at_10 value: 45.239000000000004 - type: mrr_at_100 value: 45.972 - type: mrr_at_1000 value: 46.027 - type: mrr_at_3 value: 43.279 - type: mrr_at_5 value: 44.397 - type: ndcg_at_1 value: 37.772 - type: ndcg_at_10 value: 33.973 - type: ndcg_at_100 value: 38.456 - type: ndcg_at_1000 value: 41.178 - type: ndcg_at_3 value: 29.988999999999997 - type: ndcg_at_5 value: 31.935999999999996 - type: precision_at_1 value: 37.772 - type: precision_at_10 value: 7.465 - type: precision_at_100 value: 1.1039999999999999 - type: precision_at_1000 value: 0.147 - type: precision_at_3 value: 18.902 - type: precision_at_5 value: 12.883 - type: recall_at_1 value: 18.886 - type: recall_at_10 value: 37.326 - type: recall_at_100 value: 55.186 - type: recall_at_1000 value: 73.309 - type: recall_at_3 value: 28.352 - type: recall_at_5 value: 32.208 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 70.6808 - type: ap value: 64.78268083902698 - type: f1 value: 70.48410216634053 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 6.300999999999999 - type: map_at_10 value: 11.068999999999999 - type: map_at_100 value: 12.0 - type: map_at_1000 value: 12.113999999999999 - type: map_at_3 value: 9.381 - type: map_at_5 value: 10.265 - type: mrr_at_1 value: 6.476 - type: mrr_at_10 value: 11.357000000000001 - type: mrr_at_100 value: 12.293 - type: mrr_at_1000 value: 12.403 - type: mrr_at_3 value: 9.62 - type: mrr_at_5 value: 10.544 - type: ndcg_at_1 value: 6.461 - type: ndcg_at_10 value: 14.058000000000002 - type: ndcg_at_100 value: 19.156000000000002 - type: ndcg_at_1000 value: 22.570999999999998 - type: ndcg_at_3 value: 10.475 - type: ndcg_at_5 value: 12.092 - type: precision_at_1 value: 6.461 - type: precision_at_10 value: 2.431 - type: precision_at_100 value: 0.508 - type: precision_at_1000 value: 0.08 - type: precision_at_3 value: 4.6080000000000005 - type: precision_at_5 value: 3.5900000000000003 - type: recall_at_1 value: 6.300999999999999 - type: recall_at_10 value: 23.378 - type: recall_at_100 value: 48.258 - type: recall_at_1000 value: 75.652 - type: recall_at_3 value: 13.422 - type: recall_at_5 value: 17.316000000000003 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 91.34290925672595 - type: f1 value: 90.45651851550997 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 63.57045143638851 - type: f1 value: 44.02606500037181 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 65.63214525891057 - type: f1 value: 63.33629303043603 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 72.65635507733691 - type: f1 value: 71.52506282204605 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 30.593804768886113 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 27.41249151566158 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 31.0983658178549 - type: mrr value: 32.18857446274346 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 4.79 - type: map_at_10 value: 9.095 - type: map_at_100 value: 11.738999999999999 - type: map_at_1000 value: 13.203000000000001 - type: map_at_3 value: 6.68 - type: map_at_5 value: 7.924 - type: mrr_at_1 value: 37.461 - type: mrr_at_10 value: 46.283 - type: mrr_at_100 value: 46.983999999999995 - type: mrr_at_1000 value: 47.046 - type: mrr_at_3 value: 43.55 - type: mrr_at_5 value: 45.268 - type: ndcg_at_1 value: 35.604 - type: ndcg_at_10 value: 27.249000000000002 - type: ndcg_at_100 value: 26.215 - type: ndcg_at_1000 value: 35.867 - type: ndcg_at_3 value: 30.330000000000002 - type: ndcg_at_5 value: 29.574 - type: precision_at_1 value: 37.152 - type: precision_at_10 value: 20.031 - type: precision_at_100 value: 7.217 - type: precision_at_1000 value: 2.072 - type: precision_at_3 value: 27.761000000000003 - type: precision_at_5 value: 25.448999999999998 - type: recall_at_1 value: 4.79 - type: recall_at_10 value: 13.197000000000001 - type: recall_at_100 value: 28.816999999999997 - type: recall_at_1000 value: 63.010999999999996 - type: recall_at_3 value: 7.53 - type: recall_at_5 value: 10.234 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 9.345 - type: map_at_10 value: 16.655 - type: map_at_100 value: 17.991 - type: map_at_1000 value: 18.093999999999998 - type: map_at_3 value: 13.825000000000001 - type: map_at_5 value: 15.445 - type: mrr_at_1 value: 10.834000000000001 - type: mrr_at_10 value: 18.533 - type: mrr_at_100 value: 19.750999999999998 - type: mrr_at_1000 value: 19.837 - type: mrr_at_3 value: 15.623999999999999 - type: mrr_at_5 value: 17.307 - type: ndcg_at_1 value: 10.834000000000001 - type: ndcg_at_10 value: 21.503 - type: ndcg_at_100 value: 28.141 - type: ndcg_at_1000 value: 30.951 - type: ndcg_at_3 value: 15.7 - type: ndcg_at_5 value: 18.608 - type: precision_at_1 value: 10.834000000000001 - type: precision_at_10 value: 4.09 - type: precision_at_100 value: 0.782 - type: precision_at_1000 value: 0.105 - type: precision_at_3 value: 7.474 - type: precision_at_5 value: 6.089 - type: recall_at_1 value: 9.345 - type: recall_at_10 value: 34.760000000000005 - type: recall_at_100 value: 65.455 - type: recall_at_1000 value: 87.008 - type: recall_at_3 value: 19.397000000000002 - type: recall_at_5 value: 26.205000000000002 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 63.864 - type: map_at_10 value: 76.823 - type: map_at_100 value: 77.58699999999999 - type: map_at_1000 value: 77.619 - type: map_at_3 value: 73.834 - type: map_at_5 value: 75.703 - type: mrr_at_1 value: 73.55000000000001 - type: mrr_at_10 value: 81.077 - type: mrr_at_100 value: 81.296 - type: mrr_at_1000 value: 81.3 - type: mrr_at_3 value: 79.647 - type: mrr_at_5 value: 80.601 - type: ndcg_at_1 value: 73.63 - type: ndcg_at_10 value: 81.526 - type: ndcg_at_100 value: 83.544 - type: ndcg_at_1000 value: 83.86200000000001 - type: ndcg_at_3 value: 77.96300000000001 - type: ndcg_at_5 value: 79.888 - type: precision_at_1 value: 73.63 - type: precision_at_10 value: 12.325 - type: precision_at_100 value: 1.468 - type: precision_at_1000 value: 0.155 - type: precision_at_3 value: 33.857 - type: precision_at_5 value: 22.428 - type: recall_at_1 value: 63.864 - type: recall_at_10 value: 90.537 - type: recall_at_100 value: 97.985 - type: recall_at_1000 value: 99.679 - type: recall_at_3 value: 80.351 - type: recall_at_5 value: 85.697 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 44.25321653229755 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 49.93875732877625 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 2.8979999999999997 - type: map_at_10 value: 7.376 - type: map_at_100 value: 8.902000000000001 - type: map_at_1000 value: 9.174 - type: map_at_3 value: 5.47 - type: map_at_5 value: 6.432 - type: mrr_at_1 value: 14.2 - type: mrr_at_10 value: 22.966 - type: mrr_at_100 value: 24.117 - type: mrr_at_1000 value: 24.209 - type: mrr_at_3 value: 20.033 - type: mrr_at_5 value: 21.532999999999998 - type: ndcg_at_1 value: 14.2 - type: ndcg_at_10 value: 13.016 - type: ndcg_at_100 value: 19.804 - type: ndcg_at_1000 value: 25.251 - type: ndcg_at_3 value: 12.395 - type: ndcg_at_5 value: 10.793999999999999 - type: precision_at_1 value: 14.2 - type: precision_at_10 value: 6.800000000000001 - type: precision_at_100 value: 1.6709999999999998 - type: precision_at_1000 value: 0.298 - type: precision_at_3 value: 11.767 - type: precision_at_5 value: 9.56 - type: recall_at_1 value: 2.8979999999999997 - type: recall_at_10 value: 13.753000000000002 - type: recall_at_100 value: 33.92 - type: recall_at_1000 value: 60.592 - type: recall_at_3 value: 7.163 - type: recall_at_5 value: 9.678 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 76.86234724246499 - type: cos_sim_spearman value: 67.59298171796401 - type: euclidean_pearson value: 72.34370409015565 - type: euclidean_spearman value: 67.59294254877997 - type: manhattan_pearson value: 70.76123243638206 - type: manhattan_spearman value: 66.86233305574997 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 75.2193174164991 - type: cos_sim_spearman value: 66.95885463258551 - type: euclidean_pearson value: 70.69637254317986 - type: euclidean_spearman value: 66.95991031425478 - type: manhattan_pearson value: 67.25988575290648 - type: manhattan_spearman value: 64.94406492662402 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - 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