--- tags: - mteb model-index: - name: unsup-simcse results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 74.8358208955224 - type: ap value: 37.70683035233076 - type: f1 value: 68.78678023266646 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 63.304125 - type: ap value: 58.4635579061818 - type: f1 value: 63.21775726536531 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 32.21 - type: f1 value: 31.70875045143009 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 18.137 - type: map_at_10 value: 30.755 - type: map_at_100 value: 32.064 - type: map_at_1000 value: 32.1 - type: map_at_3 value: 26.529000000000003 - type: map_at_5 value: 28.993999999999996 - type: mrr_at_1 value: 18.563 - type: mrr_at_10 value: 30.915 - type: mrr_at_100 value: 32.225 - type: mrr_at_1000 value: 32.26 - type: mrr_at_3 value: 26.730999999999998 - type: mrr_at_5 value: 29.17 - type: ndcg_at_1 value: 18.137 - type: ndcg_at_10 value: 38.043 - type: ndcg_at_100 value: 44.436 - type: ndcg_at_1000 value: 45.349000000000004 - type: ndcg_at_3 value: 29.404000000000003 - type: ndcg_at_5 value: 33.851 - type: precision_at_1 value: 18.137 - type: precision_at_10 value: 6.138 - type: precision_at_100 value: 0.9129999999999999 - type: precision_at_1000 value: 0.098 - type: precision_at_3 value: 12.589 - type: precision_at_5 value: 9.716 - type: recall_at_1 value: 18.137 - type: recall_at_10 value: 61.38 - type: recall_at_100 value: 91.252 - type: recall_at_1000 value: 98.36399999999999 - type: recall_at_3 value: 37.767 - type: recall_at_5 value: 48.577999999999996 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 32.293280401731245 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 23.868651645200988 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 51.507998420651354 - type: mrr value: 64.7392604317812 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 75.4902994498795 - type: cos_sim_spearman value: 75.32641515864982 - type: euclidean_pearson value: 74.58993168066989 - type: euclidean_spearman value: 75.32641515864982 - type: manhattan_pearson value: 75.11085698985096 - type: manhattan_spearman value: 75.85413802654686 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 67.07467532467533 - type: f1 value: 65.89351970361722 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 30.325700297722353 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 21.618349077104433 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 18.523 - type: map_at_10 value: 25.218 - type: map_at_100 value: 26.090999999999998 - type: map_at_1000 value: 26.228 - type: map_at_3 value: 23.147000000000002 - type: map_at_5 value: 24.333 - type: mrr_at_1 value: 23.462 - type: mrr_at_10 value: 29.907 - type: mrr_at_100 value: 30.684 - type: mrr_at_1000 value: 30.757 - type: mrr_at_3 value: 28.112 - type: mrr_at_5 value: 29.092000000000002 - type: ndcg_at_1 value: 23.462 - type: ndcg_at_10 value: 29.53 - type: ndcg_at_100 value: 33.812 - type: ndcg_at_1000 value: 36.941 - type: ndcg_at_3 value: 26.531 - type: ndcg_at_5 value: 27.904 - type: precision_at_1 value: 23.462 - type: precision_at_10 value: 5.608 - type: precision_at_100 value: 0.946 - type: precision_at_1000 value: 0.149 - type: precision_at_3 value: 13.019 - type: precision_at_5 value: 9.27 - type: recall_at_1 value: 18.523 - type: recall_at_10 value: 37.364999999999995 - type: recall_at_100 value: 57.033 - type: recall_at_1000 value: 78.625 - type: recall_at_3 value: 27.863 - type: recall_at_5 value: 32.196000000000005 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 16.101 - type: map_at_10 value: 21.261 - type: map_at_100 value: 22.205 - type: map_at_1000 value: 22.319 - type: map_at_3 value: 19.509 - type: map_at_5 value: 20.471 - type: mrr_at_1 value: 20.318 - type: mrr_at_10 value: 25.574 - type: mrr_at_100 value: 26.36 - type: mrr_at_1000 value: 26.436 - type: mrr_at_3 value: 23.822 - type: mrr_at_5 value: 24.79 - type: ndcg_at_1 value: 20.318 - type: ndcg_at_10 value: 24.859 - type: ndcg_at_100 value: 29.217 - type: ndcg_at_1000 value: 31.979000000000003 - type: ndcg_at_3 value: 21.906 - type: ndcg_at_5 value: 23.188 - type: precision_at_1 value: 20.318 - type: precision_at_10 value: 4.682 - type: precision_at_100 value: 0.8670000000000001 - type: precision_at_1000 value: 0.133 - type: precision_at_3 value: 10.552 - type: precision_at_5 value: 7.452 - type: recall_at_1 value: 16.101 - type: recall_at_10 value: 31.256 - type: recall_at_100 value: 50.562 - type: recall_at_1000 value: 69.704 - type: recall_at_3 value: 22.657 - type: recall_at_5 value: 26.301000000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 21.956 - type: map_at_10 value: 29.03 - type: map_at_100 value: 29.964000000000002 - type: map_at_1000 value: 30.059 - type: map_at_3 value: 26.793 - type: map_at_5 value: 28.136 - type: mrr_at_1 value: 25.517 - type: mrr_at_10 value: 32.213 - type: mrr_at_100 value: 33.019999999999996 - type: mrr_at_1000 value: 33.094 - type: mrr_at_3 value: 30.166999999999998 - type: mrr_at_5 value: 31.427 - type: ndcg_at_1 value: 25.517 - type: ndcg_at_10 value: 33.165 - type: ndcg_at_100 value: 37.781 - type: ndcg_at_1000 value: 40.303 - type: ndcg_at_3 value: 29.095 - type: ndcg_at_5 value: 31.223 - type: precision_at_1 value: 25.517 - type: precision_at_10 value: 5.361 - type: precision_at_100 value: 0.8330000000000001 - type: precision_at_1000 value: 0.11299999999999999 - type: precision_at_3 value: 12.831999999999999 - type: precision_at_5 value: 9.103 - type: recall_at_1 value: 21.956 - type: recall_at_10 value: 42.634 - type: recall_at_100 value: 63.774 - type: recall_at_1000 value: 82.548 - type: recall_at_3 value: 31.813000000000002 - type: recall_at_5 value: 36.992000000000004 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 8.831999999999999 - type: map_at_10 value: 12.455 - type: map_at_100 value: 13.142000000000001 - type: map_at_1000 value: 13.238 - type: map_at_3 value: 10.995000000000001 - type: map_at_5 value: 11.837 - type: mrr_at_1 value: 9.605 - type: mrr_at_10 value: 13.444999999999999 - type: mrr_at_100 value: 14.119000000000002 - type: mrr_at_1000 value: 14.21 - type: mrr_at_3 value: 11.902 - type: mrr_at_5 value: 12.817 - type: ndcg_at_1 value: 9.605 - type: ndcg_at_10 value: 14.899000000000001 - type: ndcg_at_100 value: 18.788 - type: ndcg_at_1000 value: 21.861 - type: ndcg_at_3 value: 11.923 - type: ndcg_at_5 value: 13.420000000000002 - type: precision_at_1 value: 9.605 - type: precision_at_10 value: 2.4410000000000003 - type: precision_at_100 value: 0.46299999999999997 - type: precision_at_1000 value: 0.077 - type: precision_at_3 value: 5.009 - type: precision_at_5 value: 3.7969999999999997 - type: recall_at_1 value: 8.831999999999999 - type: recall_at_10 value: 21.626 - type: recall_at_100 value: 40.585 - type: recall_at_1000 value: 64.842 - type: recall_at_3 value: 13.719000000000001 - type: recall_at_5 value: 17.222 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 5.013999999999999 - type: map_at_10 value: 7.323 - type: map_at_100 value: 7.921 - type: map_at_1000 value: 8.044 - type: map_at_3 value: 6.389 - type: map_at_5 value: 6.958 - type: mrr_at_1 value: 6.715999999999999 - type: mrr_at_10 value: 9.33 - type: mrr_at_100 value: 10.03 - type: mrr_at_1000 value: 10.133000000000001 - type: mrr_at_3 value: 8.354000000000001 - type: mrr_at_5 value: 8.895 - type: ndcg_at_1 value: 6.715999999999999 - type: ndcg_at_10 value: 9.146 - type: ndcg_at_100 value: 12.703000000000001 - type: ndcg_at_1000 value: 16.246 - type: ndcg_at_3 value: 7.376 - type: ndcg_at_5 value: 8.27 - type: precision_at_1 value: 6.715999999999999 - type: precision_at_10 value: 1.729 - type: precision_at_100 value: 0.422 - type: precision_at_1000 value: 0.084 - type: precision_at_3 value: 3.6479999999999997 - type: precision_at_5 value: 2.7359999999999998 - type: recall_at_1 value: 5.013999999999999 - type: recall_at_10 value: 12.928 - type: recall_at_100 value: 29.298000000000002 - type: recall_at_1000 value: 55.632000000000005 - type: recall_at_3 value: 8.011 - type: recall_at_5 value: 10.333 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 15.629999999999999 - type: map_at_10 value: 20.529 - type: map_at_100 value: 21.555 - type: map_at_1000 value: 21.688 - type: map_at_3 value: 18.733 - type: map_at_5 value: 19.761 - type: mrr_at_1 value: 19.057 - type: mrr_at_10 value: 24.482 - type: mrr_at_100 value: 25.348 - type: mrr_at_1000 value: 25.436999999999998 - type: mrr_at_3 value: 22.698 - type: mrr_at_5 value: 23.766000000000002 - type: ndcg_at_1 value: 19.057 - type: ndcg_at_10 value: 24.121000000000002 - type: ndcg_at_100 value: 29.215000000000003 - type: ndcg_at_1000 value: 32.506 - type: ndcg_at_3 value: 21.096999999999998 - type: ndcg_at_5 value: 22.546 - type: precision_at_1 value: 19.057 - type: precision_at_10 value: 4.389 - type: precision_at_100 value: 0.83 - type: precision_at_1000 value: 0.13 - type: precision_at_3 value: 9.881 - type: precision_at_5 value: 7.161 - type: recall_at_1 value: 15.629999999999999 - type: recall_at_10 value: 31.217 - type: recall_at_100 value: 53.800000000000004 - type: recall_at_1000 value: 77.012 - type: recall_at_3 value: 22.416 - type: recall_at_5 value: 26.368000000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 11.217 - type: map_at_10 value: 15.401000000000002 - type: map_at_100 value: 16.187 - type: map_at_1000 value: 16.314999999999998 - type: map_at_3 value: 14.030000000000001 - type: map_at_5 value: 14.784 - type: mrr_at_1 value: 14.041 - type: mrr_at_10 value: 18.81 - type: mrr_at_100 value: 19.534000000000002 - type: mrr_at_1000 value: 19.628 - type: mrr_at_3 value: 17.314 - type: mrr_at_5 value: 18.232 - type: ndcg_at_1 value: 14.041 - type: ndcg_at_10 value: 18.457 - type: ndcg_at_100 value: 22.616 - type: ndcg_at_1000 value: 25.991999999999997 - type: ndcg_at_3 value: 15.943999999999999 - type: ndcg_at_5 value: 17.096 - type: precision_at_1 value: 14.041 - type: precision_at_10 value: 3.39 - type: precision_at_100 value: 0.651 - type: precision_at_1000 value: 0.11100000000000002 - type: precision_at_3 value: 7.534000000000001 - type: precision_at_5 value: 5.525 - type: recall_at_1 value: 11.217 - type: recall_at_10 value: 24.568 - type: recall_at_100 value: 43.454 - type: recall_at_1000 value: 67.69 - type: recall_at_3 value: 17.413 - type: recall_at_5 value: 20.383000000000003 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 12.025 - type: map_at_10 value: 16.28216666666667 - type: map_at_100 value: 17.044916666666666 - type: map_at_1000 value: 17.159416666666665 - type: map_at_3 value: 14.794166666666667 - type: map_at_5 value: 15.65475 - type: mrr_at_1 value: 14.642249999999999 - type: mrr_at_10 value: 19.092833333333335 - type: mrr_at_100 value: 19.81375 - type: mrr_at_1000 value: 19.901249999999997 - type: mrr_at_3 value: 17.602999999999998 - type: mrr_at_5 value: 18.462083333333336 - type: ndcg_at_1 value: 14.642249999999999 - type: ndcg_at_10 value: 19.229916666666664 - type: ndcg_at_100 value: 23.18841666666667 - type: ndcg_at_1000 value: 26.286000000000005 - type: ndcg_at_3 value: 16.579916666666666 - type: ndcg_at_5 value: 17.851583333333334 - type: precision_at_1 value: 14.642249999999999 - type: precision_at_10 value: 3.4223333333333334 - type: precision_at_100 value: 0.6358333333333333 - type: precision_at_1000 value: 0.10575000000000001 - type: precision_at_3 value: 7.6842500000000005 - type: precision_at_5 value: 5.5715 - type: recall_at_1 value: 12.025 - type: recall_at_10 value: 25.470750000000002 - type: recall_at_100 value: 43.7285 - type: recall_at_1000 value: 66.525 - type: recall_at_3 value: 17.878083333333336 - type: recall_at_5 value: 21.252750000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 8.567 - type: map_at_10 value: 11.591 - type: map_at_100 value: 12.248000000000001 - type: map_at_1000 value: 12.318999999999999 - type: map_at_3 value: 10.456999999999999 - type: map_at_5 value: 11.020000000000001 - type: mrr_at_1 value: 10.428999999999998 - type: mrr_at_10 value: 13.758000000000001 - type: mrr_at_100 value: 14.363000000000001 - type: mrr_at_1000 value: 14.427000000000001 - type: mrr_at_3 value: 12.577 - type: mrr_at_5 value: 13.167000000000002 - type: ndcg_at_1 value: 10.428999999999998 - type: ndcg_at_10 value: 13.911999999999999 - type: ndcg_at_100 value: 17.307 - type: ndcg_at_1000 value: 19.478 - type: ndcg_at_3 value: 11.659 - type: ndcg_at_5 value: 12.555 - type: precision_at_1 value: 10.428999999999998 - type: precision_at_10 value: 2.423 - type: precision_at_100 value: 0.449 - type: precision_at_1000 value: 0.06899999999999999 - type: precision_at_3 value: 5.317 - type: precision_at_5 value: 3.804 - type: recall_at_1 value: 8.567 - type: recall_at_10 value: 19.122 - type: recall_at_100 value: 35.021 - type: recall_at_1000 value: 51.857 - type: recall_at_3 value: 12.696 - type: recall_at_5 value: 15.015 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 6.414000000000001 - type: map_at_10 value: 9.049999999999999 - type: map_at_100 value: 9.587 - type: map_at_1000 value: 9.689 - type: map_at_3 value: 8.113 - type: map_at_5 value: 8.591 - type: mrr_at_1 value: 8.19 - type: mrr_at_10 value: 11.232000000000001 - type: mrr_at_100 value: 11.799 - type: mrr_at_1000 value: 11.888 - type: mrr_at_3 value: 10.145999999999999 - type: mrr_at_5 value: 10.691 - type: ndcg_at_1 value: 8.19 - type: ndcg_at_10 value: 11.1 - type: ndcg_at_100 value: 14.074 - type: ndcg_at_1000 value: 17.169 - type: ndcg_at_3 value: 9.302000000000001 - type: ndcg_at_5 value: 10.034 - type: precision_at_1 value: 8.19 - type: precision_at_10 value: 2.072 - type: precision_at_100 value: 0.42900000000000005 - type: precision_at_1000 value: 0.083 - type: precision_at_3 value: 4.393 - type: precision_at_5 value: 3.2140000000000004 - type: recall_at_1 value: 6.414000000000001 - type: recall_at_10 value: 15.354999999999999 - type: recall_at_100 value: 29.186 - type: recall_at_1000 value: 52.445 - type: recall_at_3 value: 10.197000000000001 - type: recall_at_5 value: 12.136 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 10.596 - type: map_at_10 value: 13.754 - type: map_at_100 value: 14.362 - type: map_at_1000 value: 14.472 - type: map_at_3 value: 12.450999999999999 - type: map_at_5 value: 13.156 - type: mrr_at_1 value: 12.592999999999998 - type: mrr_at_10 value: 15.906 - type: mrr_at_100 value: 16.564 - type: mrr_at_1000 value: 16.669 - type: mrr_at_3 value: 14.459 - type: mrr_at_5 value: 15.261 - type: ndcg_at_1 value: 12.592999999999998 - type: ndcg_at_10 value: 16.166 - type: ndcg_at_100 value: 19.496 - type: ndcg_at_1000 value: 22.825 - type: ndcg_at_3 value: 13.591000000000001 - type: ndcg_at_5 value: 14.727 - type: precision_at_1 value: 12.592999999999998 - type: precision_at_10 value: 2.733 - type: precision_at_100 value: 0.485 - type: precision_at_1000 value: 0.086 - type: precision_at_3 value: 5.908 - type: precision_at_5 value: 4.328 - type: recall_at_1 value: 10.596 - type: recall_at_10 value: 21.698999999999998 - type: recall_at_100 value: 37.044 - type: recall_at_1000 value: 62.214999999999996 - type: recall_at_3 value: 14.501 - type: recall_at_5 value: 17.319000000000003 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 12.658 - type: map_at_10 value: 17.258000000000003 - type: map_at_100 value: 18.08 - type: map_at_1000 value: 18.248 - type: map_at_3 value: 15.648000000000001 - type: map_at_5 value: 16.659 - type: mrr_at_1 value: 15.613 - type: mrr_at_10 value: 20.379 - type: mrr_at_100 value: 21.15 - type: mrr_at_1000 value: 21.247 - type: mrr_at_3 value: 18.808 - type: mrr_at_5 value: 19.707 - type: ndcg_at_1 value: 15.613 - type: ndcg_at_10 value: 20.515 - type: ndcg_at_100 value: 24.618000000000002 - type: ndcg_at_1000 value: 28.407 - type: ndcg_at_3 value: 18.059 - type: ndcg_at_5 value: 19.274 - type: precision_at_1 value: 15.613 - type: precision_at_10 value: 3.8739999999999997 - type: precision_at_100 value: 0.8019999999999999 - type: precision_at_1000 value: 0.156 - type: precision_at_3 value: 8.696 - type: precision_at_5 value: 6.364 - type: recall_at_1 value: 12.658 - type: recall_at_10 value: 27.004 - type: recall_at_100 value: 46.245000000000005 - type: recall_at_1000 value: 72.696 - type: recall_at_3 value: 18.907 - type: recall_at_5 value: 22.666 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 8.792 - type: map_at_10 value: 12.516 - type: map_at_100 value: 13.197000000000001 - type: map_at_1000 value: 13.294 - type: map_at_3 value: 11.265 - type: map_at_5 value: 12.151 - type: mrr_at_1 value: 10.166 - type: mrr_at_10 value: 14.078 - type: mrr_at_100 value: 14.793999999999999 - type: mrr_at_1000 value: 14.889 - type: mrr_at_3 value: 12.876999999999999 - type: mrr_at_5 value: 13.700000000000001 - type: ndcg_at_1 value: 10.166 - type: ndcg_at_10 value: 14.889 - type: ndcg_at_100 value: 18.634 - type: ndcg_at_1000 value: 21.725 - type: ndcg_at_3 value: 12.475999999999999 - type: ndcg_at_5 value: 13.982 - type: precision_at_1 value: 10.166 - type: precision_at_10 value: 2.366 - type: precision_at_100 value: 0.453 - type: precision_at_1000 value: 0.078 - type: precision_at_3 value: 5.422 - type: precision_at_5 value: 4.104 - type: recall_at_1 value: 8.792 - type: recall_at_10 value: 20.875 - type: recall_at_100 value: 38.74 - type: recall_at_1000 value: 63.034 - type: recall_at_3 value: 14.344000000000001 - type: recall_at_5 value: 18.102 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 5.908 - type: map_at_10 value: 10.325 - type: map_at_100 value: 11.652 - type: map_at_1000 value: 11.847000000000001 - type: map_at_3 value: 8.519 - type: map_at_5 value: 9.407 - type: mrr_at_1 value: 13.16 - type: mrr_at_10 value: 21.617 - type: mrr_at_100 value: 22.712 - type: mrr_at_1000 value: 22.785 - type: mrr_at_3 value: 18.806 - type: mrr_at_5 value: 20.324 - type: ndcg_at_1 value: 13.16 - type: ndcg_at_10 value: 15.695999999999998 - type: ndcg_at_100 value: 22.006999999999998 - type: ndcg_at_1000 value: 26.226 - type: ndcg_at_3 value: 12.213000000000001 - type: ndcg_at_5 value: 13.403 - type: precision_at_1 value: 13.16 - type: precision_at_10 value: 5.199 - type: precision_at_100 value: 1.199 - type: precision_at_1000 value: 0.197 - type: precision_at_3 value: 9.468 - type: precision_at_5 value: 7.478999999999999 - type: recall_at_1 value: 5.908 - type: recall_at_10 value: 19.898 - type: recall_at_100 value: 42.46 - type: recall_at_1000 value: 67.06400000000001 - type: recall_at_3 value: 11.417 - type: recall_at_5 value: 14.610000000000001 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 2.923 - type: map_at_10 value: 6.648999999999999 - type: map_at_100 value: 9.408 - type: map_at_1000 value: 10.181 - type: map_at_3 value: 4.709 - type: map_at_5 value: 5.5329999999999995 - type: mrr_at_1 value: 33.75 - type: mrr_at_10 value: 42.895 - type: mrr_at_100 value: 43.759 - type: mrr_at_1000 value: 43.796 - type: mrr_at_3 value: 40.167 - type: mrr_at_5 value: 41.492000000000004 - type: ndcg_at_1 value: 24.375 - type: ndcg_at_10 value: 18.611 - type: ndcg_at_100 value: 21.141 - type: ndcg_at_1000 value: 27.177 - type: ndcg_at_3 value: 21.035 - type: ndcg_at_5 value: 19.703 - type: precision_at_1 value: 33.75 - type: precision_at_10 value: 16.8 - type: precision_at_100 value: 5.4399999999999995 - type: precision_at_1000 value: 1.208 - type: precision_at_3 value: 25.25 - type: precision_at_5 value: 21.55 - type: recall_at_1 value: 2.923 - type: recall_at_10 value: 10.530000000000001 - type: recall_at_100 value: 26.943 - type: recall_at_1000 value: 47.449999999999996 - type: recall_at_3 value: 5.608 - type: recall_at_5 value: 7.259 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 40.15 - type: f1 value: 36.73372782577792 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 12.628 - type: map_at_10 value: 18.238 - type: map_at_100 value: 19.085 - type: map_at_1000 value: 19.17 - type: map_at_3 value: 16.322 - type: map_at_5 value: 17.357 - type: mrr_at_1 value: 13.441 - type: mrr_at_10 value: 19.373 - type: mrr_at_100 value: 20.232 - type: mrr_at_1000 value: 20.31 - type: mrr_at_3 value: 17.389 - type: mrr_at_5 value: 18.467 - type: ndcg_at_1 value: 13.441 - type: ndcg_at_10 value: 21.823 - type: ndcg_at_100 value: 26.216 - type: ndcg_at_1000 value: 28.614 - type: ndcg_at_3 value: 17.845 - type: ndcg_at_5 value: 19.705000000000002 - type: precision_at_1 value: 13.441 - type: precision_at_10 value: 3.476 - type: precision_at_100 value: 0.584 - type: precision_at_1000 value: 0.08099999999999999 - type: precision_at_3 value: 7.596 - type: precision_at_5 value: 5.5329999999999995 - type: recall_at_1 value: 12.628 - type: recall_at_10 value: 32.062000000000005 - type: recall_at_100 value: 52.661 - type: recall_at_1000 value: 71.38799999999999 - type: recall_at_3 value: 21.175 - type: recall_at_5 value: 25.665 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 4.919 - type: map_at_10 value: 7.489 - type: map_at_100 value: 8.347 - type: map_at_1000 value: 8.520999999999999 - type: map_at_3 value: 6.7299999999999995 - type: map_at_5 value: 7.079000000000001 - type: mrr_at_1 value: 9.105 - type: mrr_at_10 value: 13.303 - type: mrr_at_100 value: 14.262 - type: mrr_at_1000 value: 14.371999999999998 - type: mrr_at_3 value: 12.217 - type: mrr_at_5 value: 12.773000000000001 - type: ndcg_at_1 value: 9.105 - type: ndcg_at_10 value: 10.194 - type: ndcg_at_100 value: 14.875 - type: ndcg_at_1000 value: 19.111 - type: ndcg_at_3 value: 9.113 - type: ndcg_at_5 value: 9.369 - type: precision_at_1 value: 9.105 - type: precision_at_10 value: 2.762 - type: precision_at_100 value: 0.738 - type: precision_at_1000 value: 0.14300000000000002 - type: precision_at_3 value: 5.864 - type: precision_at_5 value: 4.259 - type: recall_at_1 value: 4.919 - type: recall_at_10 value: 12.597 - type: recall_at_100 value: 31.233 - type: recall_at_1000 value: 58.312 - type: recall_at_3 value: 8.892 - type: recall_at_5 value: 10.116999999999999 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 13.275 - type: map_at_10 value: 18.406 - type: map_at_100 value: 19.148 - type: map_at_1000 value: 19.25 - type: map_at_3 value: 16.855999999999998 - type: map_at_5 value: 17.706 - type: mrr_at_1 value: 26.55 - type: mrr_at_10 value: 32.561 - type: mrr_at_100 value: 33.283 - type: mrr_at_1000 value: 33.352 - type: mrr_at_3 value: 30.767 - type: mrr_at_5 value: 31.801000000000002 - type: ndcg_at_1 value: 26.55 - type: ndcg_at_10 value: 24.031 - type: ndcg_at_100 value: 27.76 - type: ndcg_at_1000 value: 30.426 - type: ndcg_at_3 value: 20.91 - type: ndcg_at_5 value: 22.417 - type: precision_at_1 value: 26.55 - type: precision_at_10 value: 5.3629999999999995 - type: precision_at_100 value: 0.8380000000000001 - type: precision_at_1000 value: 0.12 - type: precision_at_3 value: 13.167000000000002 - type: precision_at_5 value: 9.091000000000001 - type: recall_at_1 value: 13.275 - type: recall_at_10 value: 26.813 - type: recall_at_100 value: 41.891 - type: recall_at_1000 value: 59.804 - type: recall_at_3 value: 19.75 - type: recall_at_5 value: 22.728 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 62.651999999999994 - type: ap value: 58.13172545320704 - type: f1 value: 62.47429101001618 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 4.661 - type: map_at_10 value: 8.003 - type: map_at_100 value: 8.741 - type: map_at_1000 value: 8.834 - type: map_at_3 value: 6.765000000000001 - type: map_at_5 value: 7.396999999999999 - type: mrr_at_1 value: 4.814 - type: mrr_at_10 value: 8.25 - type: mrr_at_100 value: 8.997 - type: mrr_at_1000 value: 9.088000000000001 - type: mrr_at_3 value: 6.988999999999999 - type: mrr_at_5 value: 7.630000000000001 - type: ndcg_at_1 value: 4.771 - type: ndcg_at_10 value: 10.142 - type: ndcg_at_100 value: 14.282 - type: ndcg_at_1000 value: 17.169 - type: ndcg_at_3 value: 7.531000000000001 - type: ndcg_at_5 value: 8.671 - type: precision_at_1 value: 4.771 - type: precision_at_10 value: 1.7510000000000001 - type: precision_at_100 value: 0.38999999999999996 - type: precision_at_1000 value: 0.064 - type: precision_at_3 value: 3.314 - type: precision_at_5 value: 2.5669999999999997 - type: recall_at_1 value: 4.661 - type: recall_at_10 value: 16.792 - type: recall_at_100 value: 37.221 - type: recall_at_1000 value: 60.550000000000004 - type: recall_at_3 value: 9.549000000000001 - type: recall_at_5 value: 12.276 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 85.74555403556772 - type: f1 value: 85.29014785765409 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 59.1016871865025 - type: f1 value: 39.799156304661324 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 60.29253530598522 - type: f1 value: 57.58027304406067 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 66.4862138533961 - type: f1 value: 65.09934822244887 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 27.405192268682242 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 24.459696217158037 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 29.380882515419433 - type: mrr value: 30.311119546825378 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 3.06 - type: map_at_10 value: 5.1659999999999995 - type: map_at_100 value: 6.596 - type: map_at_1000 value: 7.661 - type: map_at_3 value: 4.208 - type: map_at_5 value: 4.662 - type: mrr_at_1 value: 26.935 - type: mrr_at_10 value: 35.577 - type: mrr_at_100 value: 36.548 - type: mrr_at_1000 value: 36.616 - type: mrr_at_3 value: 33.024 - type: mrr_at_5 value: 34.587 - type: ndcg_at_1 value: 25.232 - type: ndcg_at_10 value: 17.793999999999997 - type: ndcg_at_100 value: 17.47 - type: ndcg_at_1000 value: 26.964 - type: ndcg_at_3 value: 21.428 - type: ndcg_at_5 value: 19.868 - type: precision_at_1 value: 26.935 - type: precision_at_10 value: 13.034 - type: precision_at_100 value: 5.006 - type: precision_at_1000 value: 1.7870000000000001 - type: precision_at_3 value: 20.124 - type: precision_at_5 value: 16.966 - type: recall_at_1 value: 3.06 - type: recall_at_10 value: 7.896 - type: recall_at_100 value: 20.28 - type: recall_at_1000 value: 53.613 - type: recall_at_3 value: 4.8309999999999995 - type: recall_at_5 value: 5.994 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 7.4959999999999996 - type: map_at_10 value: 12.836 - type: map_at_100 value: 13.835 - type: map_at_1000 value: 13.94 - type: map_at_3 value: 10.896 - type: map_at_5 value: 11.956 - type: mrr_at_1 value: 8.575000000000001 - type: mrr_at_10 value: 14.292 - type: mrr_at_100 value: 15.24 - type: mrr_at_1000 value: 15.332 - type: mrr_at_3 value: 12.22 - type: mrr_at_5 value: 13.379 - type: ndcg_at_1 value: 8.575000000000001 - type: ndcg_at_10 value: 16.36 - type: ndcg_at_100 value: 21.598 - type: ndcg_at_1000 value: 24.547 - type: ndcg_at_3 value: 12.305000000000001 - type: ndcg_at_5 value: 14.249 - type: precision_at_1 value: 8.575000000000001 - type: precision_at_10 value: 3.024 - type: precision_at_100 value: 0.602 - type: precision_at_1000 value: 0.08800000000000001 - type: precision_at_3 value: 5.726 - type: precision_at_5 value: 4.537 - type: recall_at_1 value: 7.4959999999999996 - type: recall_at_10 value: 25.898 - type: recall_at_100 value: 50.495000000000005 - type: recall_at_1000 value: 73.206 - type: recall_at_3 value: 15.124 - type: recall_at_5 value: 19.667 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 58.19499999999999 - type: map_at_10 value: 70.086 - type: map_at_100 value: 70.922 - type: map_at_1000 value: 70.967 - type: map_at_3 value: 67.274 - type: map_at_5 value: 68.948 - type: mrr_at_1 value: 66.85 - type: mrr_at_10 value: 74.74499999999999 - type: mrr_at_100 value: 75.09 - type: mrr_at_1000 value: 75.102 - type: mrr_at_3 value: 73.15 - type: mrr_at_5 value: 74.153 - type: ndcg_at_1 value: 66.92 - type: ndcg_at_10 value: 74.998 - type: ndcg_at_100 value: 77.66499999999999 - type: ndcg_at_1000 value: 78.309 - type: ndcg_at_3 value: 71.287 - type: ndcg_at_5 value: 73.154 - type: precision_at_1 value: 66.92 - type: precision_at_10 value: 11.347999999999999 - type: precision_at_100 value: 1.394 - type: precision_at_1000 value: 0.152 - type: precision_at_3 value: 30.857 - type: precision_at_5 value: 20.419999999999998 - type: recall_at_1 value: 58.19499999999999 - type: recall_at_10 value: 84.407 - type: recall_at_100 value: 95.089 - type: recall_at_1000 value: 99.032 - type: recall_at_3 value: 73.847 - type: recall_at_5 value: 78.994 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 33.78467254732863 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 40.672180041658585 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 2.273 - type: map_at_10 value: 5.082 - type: map_at_100 value: 6.081 - type: map_at_1000 value: 6.3 - type: map_at_3 value: 3.887 - type: map_at_5 value: 4.455 - type: mrr_at_1 value: 11.1 - type: mrr_at_10 value: 17.724 - type: mrr_at_100 value: 18.815 - type: mrr_at_1000 value: 18.927 - type: mrr_at_3 value: 15.45 - type: mrr_at_5 value: 16.665 - type: ndcg_at_1 value: 11.1 - type: ndcg_at_10 value: 9.337 - type: ndcg_at_100 value: 14.328 - type: ndcg_at_1000 value: 19.358 - type: ndcg_at_3 value: 9.055 - type: ndcg_at_5 value: 7.782 - type: precision_at_1 value: 11.1 - type: precision_at_10 value: 4.760000000000001 - type: precision_at_100 value: 1.208 - type: precision_at_1000 value: 0.243 - type: precision_at_3 value: 8.5 - type: precision_at_5 value: 6.72 - type: recall_at_1 value: 2.273 - type: recall_at_10 value: 9.708 - type: recall_at_100 value: 24.490000000000002 - type: recall_at_1000 value: 49.378 - type: recall_at_3 value: 5.207 - type: recall_at_5 value: 6.855 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 75.31271548030631 - type: cos_sim_spearman value: 66.39869412209516 - type: euclidean_pearson value: 71.7717241609781 - type: euclidean_spearman value: 66.3987881681945 - type: manhattan_pearson value: 69.11732057374952 - type: manhattan_spearman value: 64.37112055858346 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 67.60073903347859 - type: cos_sim_spearman value: 60.19179782879366 - type: euclidean_pearson value: 64.11314220006894 - type: euclidean_spearman value: 60.19314941038865 - type: manhattan_pearson value: 61.97187813126979 - type: manhattan_spearman value: 59.52596441655491 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 72.51824007418035 - type: cos_sim_spearman value: 74.95359317393202 - type: euclidean_pearson value: 74.49726165629166 - type: euclidean_spearman value: 74.95363101082553 - 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