--- tags: - mteb model-index: - name: nomic_classification_300_correct results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 71.64179104477613 - type: ap value: 34.159744260532136 - type: f1 value: 65.53100428249736 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 65.08860000000001 - type: ap value: 60.14010028941874 - type: f1 value: 64.83351000800369 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 34.446 - type: f1 value: 33.94159065718346 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 21.124000000000002 - type: map_at_10 value: 34.697 - type: map_at_100 value: 35.941 - type: map_at_1000 value: 35.965 - type: map_at_3 value: 30.322 - type: map_at_5 value: 32.757999999999996 - type: mrr_at_1 value: 21.693 - type: mrr_at_10 value: 34.915 - type: mrr_at_100 value: 36.159 - type: mrr_at_1000 value: 36.184 - type: mrr_at_3 value: 30.464999999999996 - type: mrr_at_5 value: 32.965 - type: ndcg_at_1 value: 21.124000000000002 - type: ndcg_at_10 value: 42.515 - type: ndcg_at_100 value: 48.304 - type: ndcg_at_1000 value: 48.92 - type: ndcg_at_3 value: 33.397 - type: ndcg_at_5 value: 37.835 - type: precision_at_1 value: 21.124000000000002 - type: precision_at_10 value: 6.764 - type: precision_at_100 value: 0.942 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 14.106 - type: precision_at_5 value: 10.639999999999999 - type: recall_at_1 value: 21.124000000000002 - type: recall_at_10 value: 67.63900000000001 - type: recall_at_100 value: 94.16799999999999 - type: recall_at_1000 value: 98.933 - type: recall_at_3 value: 42.319 - type: recall_at_5 value: 53.201 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 33.518293831744074 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 23.84324528943955 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 53.14496107592509 - type: mrr value: 67.71039440707031 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 80.81796255278779 - type: cos_sim_spearman value: 79.26023973327042 - type: euclidean_pearson value: 80.28015896874675 - type: euclidean_spearman value: 79.26023973327042 - type: manhattan_pearson value: 80.86598836117923 - type: manhattan_spearman value: 79.52108905039304 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 72.09415584415585 - type: f1 value: 71.26661446466763 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 32.07186711903559 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 23.19051850098106 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 21.83 - type: map_at_10 value: 29.202 - type: map_at_100 value: 30.312 - type: map_at_1000 value: 30.473 - type: map_at_3 value: 26.756999999999998 - type: map_at_5 value: 28.249999999999996 - type: mrr_at_1 value: 27.611 - type: mrr_at_10 value: 34.859 - type: mrr_at_100 value: 35.711 - type: mrr_at_1000 value: 35.789 - type: mrr_at_3 value: 32.761 - type: mrr_at_5 value: 34.127 - type: ndcg_at_1 value: 27.611 - type: ndcg_at_10 value: 33.978 - type: ndcg_at_100 value: 38.931 - type: ndcg_at_1000 value: 42.204 - type: ndcg_at_3 value: 30.541 - type: ndcg_at_5 value: 32.272 - type: precision_at_1 value: 27.611 - type: precision_at_10 value: 6.366 - type: precision_at_100 value: 1.0959999999999999 - type: precision_at_1000 value: 0.168 - type: precision_at_3 value: 14.783 - type: precision_at_5 value: 10.786999999999999 - type: recall_at_1 value: 21.83 - type: recall_at_10 value: 42.213 - type: recall_at_100 value: 64.104 - type: recall_at_1000 value: 86.378 - type: recall_at_3 value: 31.624000000000002 - type: recall_at_5 value: 36.693999999999996 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 16.703000000000003 - type: map_at_10 value: 22.081999999999997 - type: map_at_100 value: 22.961000000000002 - type: map_at_1000 value: 23.087 - type: map_at_3 value: 20.185 - type: map_at_5 value: 21.199 - type: mrr_at_1 value: 21.019 - type: mrr_at_10 value: 26.307000000000002 - type: mrr_at_100 value: 27.053 - type: mrr_at_1000 value: 27.13 - type: mrr_at_3 value: 24.395 - type: mrr_at_5 value: 25.395 - type: ndcg_at_1 value: 21.019 - type: ndcg_at_10 value: 25.906000000000002 - type: ndcg_at_100 value: 30.051 - type: ndcg_at_1000 value: 32.974 - type: ndcg_at_3 value: 22.578 - type: ndcg_at_5 value: 23.964 - type: precision_at_1 value: 21.019 - type: precision_at_10 value: 4.828 - type: precision_at_100 value: 0.8630000000000001 - type: precision_at_1000 value: 0.136 - type: precision_at_3 value: 10.722 - type: precision_at_5 value: 7.682 - type: recall_at_1 value: 16.703000000000003 - type: recall_at_10 value: 33.237 - type: recall_at_100 value: 51.71 - type: recall_at_1000 value: 71.625 - type: recall_at_3 value: 23.598 - type: recall_at_5 value: 27.339000000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 25.507 - type: map_at_10 value: 33.812999999999995 - type: map_at_100 value: 34.899 - type: map_at_1000 value: 34.995 - type: map_at_3 value: 31.430999999999997 - type: map_at_5 value: 32.72 - type: mrr_at_1 value: 29.53 - type: mrr_at_10 value: 36.961 - type: mrr_at_100 value: 37.839 - type: mrr_at_1000 value: 37.9 - type: mrr_at_3 value: 34.775 - type: mrr_at_5 value: 35.931999999999995 - type: ndcg_at_1 value: 29.53 - type: ndcg_at_10 value: 38.468999999999994 - type: ndcg_at_100 value: 43.652 - type: ndcg_at_1000 value: 45.873999999999995 - type: ndcg_at_3 value: 34.041 - type: ndcg_at_5 value: 36.042 - type: precision_at_1 value: 29.53 - type: precision_at_10 value: 6.263000000000001 - type: precision_at_100 value: 0.971 - type: precision_at_1000 value: 0.124 - type: precision_at_3 value: 15.171999999999999 - type: precision_at_5 value: 10.458 - type: recall_at_1 value: 25.507 - type: recall_at_10 value: 49.464999999999996 - type: recall_at_100 value: 72.912 - type: recall_at_1000 value: 88.993 - type: recall_at_3 value: 37.492999999999995 - type: recall_at_5 value: 42.494 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 11.827 - type: map_at_10 value: 15.834999999999999 - type: map_at_100 value: 16.608999999999998 - type: map_at_1000 value: 16.718 - type: map_at_3 value: 14.510000000000002 - type: map_at_5 value: 15.213 - type: mrr_at_1 value: 12.994 - type: mrr_at_10 value: 17.09 - type: mrr_at_100 value: 17.868000000000002 - type: mrr_at_1000 value: 17.971 - type: mrr_at_3 value: 15.763 - type: mrr_at_5 value: 16.48 - type: ndcg_at_1 value: 12.994 - type: ndcg_at_10 value: 18.382 - type: ndcg_at_100 value: 22.656000000000002 - type: ndcg_at_1000 value: 26.017000000000003 - type: ndcg_at_3 value: 15.662 - type: ndcg_at_5 value: 16.902 - type: precision_at_1 value: 12.994 - type: precision_at_10 value: 2.836 - type: precision_at_100 value: 0.529 - type: precision_at_1000 value: 0.087 - type: precision_at_3 value: 6.516 - type: precision_at_5 value: 4.655 - type: recall_at_1 value: 11.827 - type: recall_at_10 value: 25.179000000000002 - type: recall_at_100 value: 45.749 - type: recall_at_1000 value: 72.057 - type: recall_at_3 value: 17.740000000000002 - type: recall_at_5 value: 20.659 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 6.497999999999999 - type: map_at_10 value: 9.685 - type: map_at_100 value: 10.355 - type: map_at_1000 value: 10.481 - type: map_at_3 value: 8.545 - type: map_at_5 value: 9.135 - type: mrr_at_1 value: 8.458 - type: mrr_at_10 value: 11.968 - type: mrr_at_100 value: 12.681999999999999 - type: mrr_at_1000 value: 12.784 - type: mrr_at_3 value: 10.613999999999999 - type: mrr_at_5 value: 11.347 - type: ndcg_at_1 value: 8.458 - type: ndcg_at_10 value: 12.101 - type: ndcg_at_100 value: 15.809000000000001 - type: ndcg_at_1000 value: 19.514 - type: ndcg_at_3 value: 9.802 - type: ndcg_at_5 value: 10.796 - type: precision_at_1 value: 8.458 - type: precision_at_10 value: 2.313 - type: precision_at_100 value: 0.48900000000000005 - type: precision_at_1000 value: 0.094 - type: precision_at_3 value: 4.726 - type: precision_at_5 value: 3.5319999999999996 - type: recall_at_1 value: 6.497999999999999 - type: recall_at_10 value: 17.455000000000002 - type: recall_at_100 value: 34.374 - type: recall_at_1000 value: 61.881 - type: recall_at_3 value: 10.955 - type: recall_at_5 value: 13.489 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 16.775000000000002 - type: map_at_10 value: 22.869999999999997 - type: map_at_100 value: 23.997 - type: map_at_1000 value: 24.136 - type: map_at_3 value: 20.956 - type: map_at_5 value: 21.936 - type: mrr_at_1 value: 20.885 - type: mrr_at_10 value: 27.388 - type: mrr_at_100 value: 28.314 - type: mrr_at_1000 value: 28.397 - type: mrr_at_3 value: 25.489 - type: mrr_at_5 value: 26.480999999999998 - type: ndcg_at_1 value: 20.885 - type: ndcg_at_10 value: 27.014 - type: ndcg_at_100 value: 32.499 - type: ndcg_at_1000 value: 35.64 - type: ndcg_at_3 value: 23.695 - type: ndcg_at_5 value: 25.061 - type: precision_at_1 value: 20.885 - type: precision_at_10 value: 4.928 - type: precision_at_100 value: 0.923 - type: precision_at_1000 value: 0.13999999999999999 - type: precision_at_3 value: 11.229 - type: precision_at_5 value: 7.988 - type: recall_at_1 value: 16.775000000000002 - type: recall_at_10 value: 35.189 - type: recall_at_100 value: 59.414 - type: recall_at_1000 value: 81.073 - type: recall_at_3 value: 25.621 - type: recall_at_5 value: 29.209000000000003 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 11.918 - type: map_at_10 value: 17.445 - type: map_at_100 value: 18.412 - type: map_at_1000 value: 18.556 - type: map_at_3 value: 15.715000000000002 - type: map_at_5 value: 16.622 - type: mrr_at_1 value: 15.068000000000001 - type: mrr_at_10 value: 20.82 - type: mrr_at_100 value: 21.7 - type: mrr_at_1000 value: 21.8 - type: mrr_at_3 value: 19.121 - type: mrr_at_5 value: 19.994 - type: ndcg_at_1 value: 15.068000000000001 - type: ndcg_at_10 value: 21.063000000000002 - type: ndcg_at_100 value: 25.81 - type: ndcg_at_1000 value: 29.446 - type: ndcg_at_3 value: 17.951 - type: ndcg_at_5 value: 19.246 - type: precision_at_1 value: 15.068000000000001 - type: precision_at_10 value: 3.995 - type: precision_at_100 value: 0.758 - type: precision_at_1000 value: 0.125 - type: precision_at_3 value: 8.828 - type: precision_at_5 value: 6.3469999999999995 - type: recall_at_1 value: 11.918 - type: recall_at_10 value: 28.693 - type: recall_at_100 value: 49.451 - type: recall_at_1000 value: 75.33999999999999 - type: recall_at_3 value: 20.044 - type: recall_at_5 value: 23.472 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 13.772666666666666 - type: map_at_10 value: 18.910083333333336 - type: map_at_100 value: 19.776333333333334 - type: map_at_1000 value: 19.9015 - type: map_at_3 value: 17.286333333333335 - type: map_at_5 value: 18.16575 - type: mrr_at_1 value: 16.76525 - type: mrr_at_10 value: 21.966250000000002 - type: mrr_at_100 value: 22.74941666666667 - type: mrr_at_1000 value: 22.837916666666665 - type: mrr_at_3 value: 20.33125 - type: mrr_at_5 value: 21.24025 - type: ndcg_at_1 value: 16.76525 - type: ndcg_at_10 value: 22.28141666666666 - type: ndcg_at_100 value: 26.642999999999994 - type: ndcg_at_1000 value: 29.849750000000004 - type: ndcg_at_3 value: 19.343999999999998 - type: ndcg_at_5 value: 20.661083333333334 - type: precision_at_1 value: 16.76525 - type: precision_at_10 value: 3.972666666666666 - type: precision_at_100 value: 0.7320833333333333 - type: precision_at_1000 value: 0.11858333333333335 - type: precision_at_3 value: 9.005583333333334 - type: precision_at_5 value: 6.460416666666667 - type: recall_at_1 value: 13.772666666666666 - type: recall_at_10 value: 29.464333333333332 - type: recall_at_100 value: 49.43716666666667 - type: recall_at_1000 value: 72.77666666666667 - type: recall_at_3 value: 21.147083333333335 - type: recall_at_5 value: 24.555500000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 9.792 - type: map_at_10 value: 13.836 - type: map_at_100 value: 14.435999999999998 - type: map_at_1000 value: 14.519000000000002 - type: map_at_3 value: 12.389999999999999 - type: map_at_5 value: 13.255 - type: mrr_at_1 value: 12.117 - type: mrr_at_10 value: 16.024 - type: mrr_at_100 value: 16.616 - type: mrr_at_1000 value: 16.694 - type: mrr_at_3 value: 14.519000000000002 - type: mrr_at_5 value: 15.409 - type: ndcg_at_1 value: 12.117 - type: ndcg_at_10 value: 16.607 - type: ndcg_at_100 value: 19.933999999999997 - type: ndcg_at_1000 value: 22.475 - type: ndcg_at_3 value: 13.875000000000002 - type: ndcg_at_5 value: 15.276 - type: precision_at_1 value: 12.117 - type: precision_at_10 value: 2.899 - type: precision_at_100 value: 0.509 - type: precision_at_1000 value: 0.079 - type: precision_at_3 value: 6.390999999999999 - type: precision_at_5 value: 4.755 - type: recall_at_1 value: 9.792 - type: recall_at_10 value: 23.230999999999998 - type: recall_at_100 value: 39.068999999999996 - type: recall_at_1000 value: 58.706 - type: recall_at_3 value: 15.414 - type: recall_at_5 value: 19.066 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 7.575 - type: map_at_10 value: 10.82 - type: map_at_100 value: 11.416 - type: map_at_1000 value: 11.537 - type: map_at_3 value: 9.758 - type: map_at_5 value: 10.362 - type: mrr_at_1 value: 9.36 - type: mrr_at_10 value: 13.007 - type: mrr_at_100 value: 13.621 - type: mrr_at_1000 value: 13.722999999999999 - type: mrr_at_3 value: 11.734 - type: mrr_at_5 value: 12.493 - type: ndcg_at_1 value: 9.36 - type: ndcg_at_10 value: 13.120000000000001 - type: ndcg_at_100 value: 16.486 - type: ndcg_at_1000 value: 20.01 - type: ndcg_at_3 value: 11.044 - type: ndcg_at_5 value: 12.064 - type: precision_at_1 value: 9.36 - type: precision_at_10 value: 2.4539999999999997 - type: precision_at_100 value: 0.498 - type: precision_at_1000 value: 0.096 - type: precision_at_3 value: 5.231 - type: precision_at_5 value: 3.9570000000000003 - type: recall_at_1 value: 7.575 - type: recall_at_10 value: 17.968999999999998 - type: recall_at_100 value: 33.736 - type: recall_at_1000 value: 60.013000000000005 - type: recall_at_3 value: 12.293 - type: recall_at_5 value: 14.729999999999999 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 11.837 - type: map_at_10 value: 16.402 - type: map_at_100 value: 17.202 - type: map_at_1000 value: 17.314 - type: map_at_3 value: 14.908 - type: map_at_5 value: 15.717 - type: mrr_at_1 value: 14.366000000000001 - type: mrr_at_10 value: 19.252 - type: mrr_at_100 value: 20.078 - type: mrr_at_1000 value: 20.168 - type: mrr_at_3 value: 17.693 - type: mrr_at_5 value: 18.523 - type: ndcg_at_1 value: 14.366000000000001 - type: ndcg_at_10 value: 19.557 - type: ndcg_at_100 value: 23.821 - type: ndcg_at_1000 value: 27.095000000000002 - type: ndcg_at_3 value: 16.638 - type: ndcg_at_5 value: 17.927 - type: precision_at_1 value: 14.366000000000001 - type: precision_at_10 value: 3.3680000000000003 - type: precision_at_100 value: 0.605 - type: precision_at_1000 value: 0.101 - type: precision_at_3 value: 7.649 - type: precision_at_5 value: 5.448 - type: recall_at_1 value: 11.837 - type: recall_at_10 value: 26.623 - type: recall_at_100 value: 46.274 - type: recall_at_1000 value: 70.49499999999999 - type: recall_at_3 value: 18.429000000000002 - type: recall_at_5 value: 21.711 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 14.091999999999999 - type: map_at_10 value: 20.265 - type: map_at_100 value: 21.262 - type: map_at_1000 value: 21.433 - type: map_at_3 value: 18.755 - type: map_at_5 value: 19.55 - type: mrr_at_1 value: 17.391000000000002 - type: mrr_at_10 value: 23.730999999999998 - type: mrr_at_100 value: 24.534 - type: mrr_at_1000 value: 24.616 - type: mrr_at_3 value: 22.2 - type: mrr_at_5 value: 23.218 - type: ndcg_at_1 value: 17.391000000000002 - type: ndcg_at_10 value: 24.095 - type: ndcg_at_100 value: 28.762 - type: ndcg_at_1000 value: 32.279 - type: ndcg_at_3 value: 21.617 - type: ndcg_at_5 value: 22.829 - type: precision_at_1 value: 17.391000000000002 - type: precision_at_10 value: 4.723 - type: precision_at_100 value: 1.028 - type: precision_at_1000 value: 0.185 - type: precision_at_3 value: 10.474 - type: precision_at_5 value: 7.628 - type: recall_at_1 value: 14.091999999999999 - type: recall_at_10 value: 31.102 - type: recall_at_100 value: 53.197 - type: recall_at_1000 value: 77.602 - type: recall_at_3 value: 23.937 - type: recall_at_5 value: 27.060000000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 10.918 - type: map_at_10 value: 14.666 - type: map_at_100 value: 15.455 - type: map_at_1000 value: 15.568999999999999 - type: map_at_3 value: 13.526 - type: map_at_5 value: 14.030000000000001 - type: mrr_at_1 value: 12.384 - type: mrr_at_10 value: 16.188 - type: mrr_at_100 value: 16.977 - type: mrr_at_1000 value: 17.083000000000002 - type: mrr_at_3 value: 14.911 - type: mrr_at_5 value: 15.484 - type: ndcg_at_1 value: 12.384 - type: ndcg_at_10 value: 17.085 - type: ndcg_at_100 value: 21.305 - type: ndcg_at_1000 value: 24.669 - type: ndcg_at_3 value: 14.684 - type: ndcg_at_5 value: 15.554000000000002 - type: precision_at_1 value: 12.384 - type: precision_at_10 value: 2.699 - type: precision_at_100 value: 0.516 - type: precision_at_1000 value: 0.08800000000000001 - type: precision_at_3 value: 6.346 - type: precision_at_5 value: 4.288 - type: recall_at_1 value: 10.918 - type: recall_at_10 value: 23.216 - type: recall_at_100 value: 43.256 - type: recall_at_1000 value: 69.157 - type: recall_at_3 value: 16.617 - type: recall_at_5 value: 18.743000000000002 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 5.3629999999999995 - type: map_at_10 value: 9.915000000000001 - type: map_at_100 value: 11.212 - type: map_at_1000 value: 11.405 - type: map_at_3 value: 7.9479999999999995 - type: map_at_5 value: 8.862 - type: mrr_at_1 value: 11.661000000000001 - type: mrr_at_10 value: 19.907 - type: mrr_at_100 value: 21.046 - type: mrr_at_1000 value: 21.124000000000002 - type: mrr_at_3 value: 17.09 - type: mrr_at_5 value: 18.582 - type: ndcg_at_1 value: 11.661000000000001 - type: ndcg_at_10 value: 15.129999999999999 - type: ndcg_at_100 value: 21.393 - type: ndcg_at_1000 value: 25.506 - type: ndcg_at_3 value: 11.325000000000001 - type: ndcg_at_5 value: 12.604000000000001 - type: precision_at_1 value: 11.661000000000001 - type: precision_at_10 value: 5.186 - type: precision_at_100 value: 1.197 - type: precision_at_1000 value: 0.194 - type: precision_at_3 value: 8.817 - type: precision_at_5 value: 7.101 - type: recall_at_1 value: 5.3629999999999995 - type: recall_at_10 value: 19.82 - type: recall_at_100 value: 42.22 - type: recall_at_1000 value: 66.17 - type: recall_at_3 value: 10.904 - type: recall_at_5 value: 14.088000000000001 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 3.385 - type: map_at_10 value: 7.8149999999999995 - type: map_at_100 value: 10.774000000000001 - type: map_at_1000 value: 11.568000000000001 - type: map_at_3 value: 5.539000000000001 - type: map_at_5 value: 6.603000000000001 - type: mrr_at_1 value: 34.5 - type: mrr_at_10 value: 44.3 - type: mrr_at_100 value: 45.218 - type: mrr_at_1000 value: 45.261 - type: mrr_at_3 value: 41.75 - type: mrr_at_5 value: 43.3 - type: ndcg_at_1 value: 25.25 - type: ndcg_at_10 value: 20.493 - type: ndcg_at_100 value: 22.833000000000002 - type: ndcg_at_1000 value: 29.278 - type: ndcg_at_3 value: 22.862 - type: ndcg_at_5 value: 21.636 - type: precision_at_1 value: 34.5 - type: precision_at_10 value: 18.275 - type: precision_at_100 value: 5.685 - type: precision_at_1000 value: 1.206 - type: precision_at_3 value: 26.917 - type: precision_at_5 value: 23.45 - type: recall_at_1 value: 3.385 - type: recall_at_10 value: 12.22 - type: recall_at_100 value: 28.225 - type: recall_at_1000 value: 50.20099999999999 - type: recall_at_3 value: 6.603000000000001 - type: recall_at_5 value: 8.872 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 44.30500000000001 - type: f1 value: 40.23633979795541 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 12.283 - type: map_at_10 value: 18.655 - type: map_at_100 value: 19.587 - type: map_at_1000 value: 19.666 - type: map_at_3 value: 16.592000000000002 - type: map_at_5 value: 17.655 - type: mrr_at_1 value: 13.126 - type: mrr_at_10 value: 19.869999999999997 - type: mrr_at_100 value: 20.809 - type: mrr_at_1000 value: 20.883 - type: mrr_at_3 value: 17.697 - type: mrr_at_5 value: 18.829 - type: ndcg_at_1 value: 13.126 - type: ndcg_at_10 value: 22.631999999999998 - type: ndcg_at_100 value: 27.476 - type: ndcg_at_1000 value: 29.788999999999998 - type: ndcg_at_3 value: 18.295 - type: ndcg_at_5 value: 20.224 - type: precision_at_1 value: 13.126 - type: precision_at_10 value: 3.705 - type: precision_at_100 value: 0.629 - type: precision_at_1000 value: 0.08499999999999999 - type: precision_at_3 value: 7.951 - type: precision_at_5 value: 5.800000000000001 - type: recall_at_1 value: 12.283 - type: recall_at_10 value: 34.016999999999996 - type: recall_at_100 value: 56.83200000000001 - type: recall_at_1000 value: 74.942 - type: recall_at_3 value: 22.104 - type: recall_at_5 value: 26.75 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 5.615 - type: map_at_10 value: 9.742 - type: map_at_100 value: 10.782 - type: map_at_1000 value: 10.981 - type: map_at_3 value: 8.324 - type: map_at_5 value: 9.097 - type: mrr_at_1 value: 11.574 - type: mrr_at_10 value: 17.386 - type: mrr_at_100 value: 18.349 - type: mrr_at_1000 value: 18.451 - type: mrr_at_3 value: 15.406 - type: mrr_at_5 value: 16.448 - type: ndcg_at_1 value: 11.574 - type: ndcg_at_10 value: 13.623 - type: ndcg_at_100 value: 18.82 - type: ndcg_at_1000 value: 23.534 - type: ndcg_at_3 value: 11.521 - type: ndcg_at_5 value: 12.3 - type: precision_at_1 value: 11.574 - type: precision_at_10 value: 3.997 - type: precision_at_100 value: 0.918 - type: precision_at_1000 value: 0.17099999999999999 - type: precision_at_3 value: 7.973 - type: precision_at_5 value: 6.049 - type: recall_at_1 value: 5.615 - type: recall_at_10 value: 17.588 - type: recall_at_100 value: 38.091 - type: recall_at_1000 value: 68.12 - type: recall_at_3 value: 10.763 - type: recall_at_5 value: 13.65 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 14.868 - type: map_at_10 value: 20.803 - type: map_at_100 value: 21.625 - type: map_at_1000 value: 21.739 - type: map_at_3 value: 19.075 - type: map_at_5 value: 20.072000000000003 - type: mrr_at_1 value: 29.737000000000002 - type: mrr_at_10 value: 36.177 - type: mrr_at_100 value: 36.923 - type: mrr_at_1000 value: 36.992999999999995 - type: mrr_at_3 value: 34.414 - type: mrr_at_5 value: 35.417 - type: ndcg_at_1 value: 29.737000000000002 - type: ndcg_at_10 value: 26.884000000000004 - type: ndcg_at_100 value: 30.873 - type: ndcg_at_1000 value: 33.727000000000004 - type: ndcg_at_3 value: 23.557 - type: ndcg_at_5 value: 25.215 - type: precision_at_1 value: 29.737000000000002 - type: precision_at_10 value: 5.966 - type: precision_at_100 value: 0.9169999999999999 - type: precision_at_1000 value: 0.13 - type: precision_at_3 value: 14.868 - type: precision_at_5 value: 10.236 - type: recall_at_1 value: 14.868 - type: recall_at_10 value: 29.831000000000003 - type: recall_at_100 value: 45.861000000000004 - type: recall_at_1000 value: 64.956 - type: recall_at_3 value: 22.302 - type: recall_at_5 value: 25.591 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 64.77400000000002 - type: ap value: 59.8271641498241 - type: f1 value: 64.63116569862132 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 5.795 - type: map_at_10 value: 9.893 - type: map_at_100 value: 10.7 - type: map_at_1000 value: 10.801 - type: map_at_3 value: 8.402 - type: map_at_5 value: 9.168 - type: mrr_at_1 value: 5.974 - type: mrr_at_10 value: 10.168000000000001 - type: mrr_at_100 value: 10.983 - type: mrr_at_1000 value: 11.081000000000001 - type: mrr_at_3 value: 8.656 - type: mrr_at_5 value: 9.434 - type: ndcg_at_1 value: 5.946 - type: ndcg_at_10 value: 12.485 - type: ndcg_at_100 value: 16.982 - type: ndcg_at_1000 value: 20.038 - type: ndcg_at_3 value: 9.34 - type: ndcg_at_5 value: 10.725999999999999 - type: precision_at_1 value: 5.946 - type: precision_at_10 value: 2.1399999999999997 - type: precision_at_100 value: 0.44799999999999995 - type: precision_at_1000 value: 0.07100000000000001 - type: precision_at_3 value: 4.093 - type: precision_at_5 value: 3.16 - type: recall_at_1 value: 5.795 - type: recall_at_10 value: 20.558 - type: recall_at_100 value: 42.65 - type: recall_at_1000 value: 67.243 - type: recall_at_3 value: 11.812000000000001 - type: recall_at_5 value: 15.162 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 89.16324669402644 - type: f1 value: 88.43597223143398 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 60.58595531235751 - type: f1 value: 41.403903752740575 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 63.076664425016816 - type: f1 value: 61.059741194179736 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 69.74781439139205 - type: f1 value: 68.49712942816453 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 27.87584903553076 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 25.076231171218932 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 28.963878084019868 - type: mrr value: 29.861285643130348 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 3.319 - type: map_at_10 value: 6.807 - type: map_at_100 value: 8.634 - type: map_at_1000 value: 9.887 - type: map_at_3 value: 5.153 - type: map_at_5 value: 5.863 - type: mrr_at_1 value: 31.269000000000002 - type: mrr_at_10 value: 40.787 - type: mrr_at_100 value: 41.498000000000005 - type: mrr_at_1000 value: 41.563 - type: mrr_at_3 value: 38.287 - type: mrr_at_5 value: 39.772999999999996 - type: ndcg_at_1 value: 28.947 - type: ndcg_at_10 value: 22.505 - type: ndcg_at_100 value: 21.15 - type: ndcg_at_1000 value: 30.887999999999998 - type: ndcg_at_3 value: 25.357000000000003 - type: ndcg_at_5 value: 24.492 - type: precision_at_1 value: 31.269000000000002 - type: precision_at_10 value: 16.594 - type: precision_at_100 value: 6.031000000000001 - type: precision_at_1000 value: 1.9300000000000002 - type: precision_at_3 value: 23.942 - type: precision_at_5 value: 21.424000000000003 - type: recall_at_1 value: 3.319 - type: recall_at_10 value: 11.189 - type: recall_at_100 value: 23.278 - type: recall_at_1000 value: 58.019 - type: recall_at_3 value: 6.6129999999999995 - type: recall_at_5 value: 8.093 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 8.413 - type: map_at_10 value: 14.465 - type: map_at_100 value: 15.564 - type: map_at_1000 value: 15.667 - type: map_at_3 value: 12.258 - type: map_at_5 value: 13.377 - type: mrr_at_1 value: 9.647 - type: mrr_at_10 value: 16.003 - type: mrr_at_100 value: 17.052999999999997 - type: mrr_at_1000 value: 17.14 - type: mrr_at_3 value: 13.688 - type: mrr_at_5 value: 14.868 - type: ndcg_at_1 value: 9.647 - type: ndcg_at_10 value: 18.519 - type: ndcg_at_100 value: 24.247 - type: ndcg_at_1000 value: 27.113 - type: ndcg_at_3 value: 13.88 - type: ndcg_at_5 value: 15.913 - type: precision_at_1 value: 9.647 - type: precision_at_10 value: 3.476 - type: precision_at_100 value: 0.676 - type: precision_at_1000 value: 0.095 - type: precision_at_3 value: 6.566 - type: precision_at_5 value: 5.075 - type: recall_at_1 value: 8.413 - type: recall_at_10 value: 29.664 - type: recall_at_100 value: 56.508 - type: recall_at_1000 value: 78.58699999999999 - type: recall_at_3 value: 17.207 - type: recall_at_5 value: 22.006999999999998 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 60.949 - type: map_at_10 value: 73.328 - type: map_at_100 value: 74.127 - type: map_at_1000 value: 74.166 - type: map_at_3 value: 70.415 - type: map_at_5 value: 72.138 - type: mrr_at_1 value: 70.3 - type: mrr_at_10 value: 77.842 - type: mrr_at_100 value: 78.133 - type: mrr_at_1000 value: 78.14 - type: mrr_at_3 value: 76.28200000000001 - type: mrr_at_5 value: 77.268 - type: ndcg_at_1 value: 70.35 - type: ndcg_at_10 value: 78.159 - type: ndcg_at_100 value: 80.508 - type: ndcg_at_1000 value: 81.0 - type: ndcg_at_3 value: 74.42999999999999 - type: ndcg_at_5 value: 76.292 - type: precision_at_1 value: 70.35 - type: precision_at_10 value: 11.823 - type: precision_at_100 value: 1.432 - type: precision_at_1000 value: 0.154 - type: precision_at_3 value: 32.196999999999996 - type: precision_at_5 value: 21.310000000000002 - type: recall_at_1 value: 60.949 - type: recall_at_10 value: 87.467 - type: recall_at_100 value: 96.538 - type: recall_at_1000 value: 99.392 - type: recall_at_3 value: 76.785 - type: recall_at_5 value: 81.96900000000001 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 35.43953690940825 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 44.61896168883127 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 2.713 - type: map_at_10 value: 6.231 - type: map_at_100 value: 7.498 - type: map_at_1000 value: 7.739 - type: map_at_3 value: 4.605 - type: map_at_5 value: 5.425 - type: mrr_at_1 value: 13.3 - type: mrr_at_10 value: 20.465 - type: mrr_at_100 value: 21.77 - type: mrr_at_1000 value: 21.86 - type: mrr_at_3 value: 17.9 - type: mrr_at_5 value: 19.43 - type: ndcg_at_1 value: 13.3 - type: ndcg_at_10 value: 11.212 - type: ndcg_at_100 value: 17.29 - type: ndcg_at_1000 value: 22.394 - type: ndcg_at_3 value: 10.612 - type: ndcg_at_5 value: 9.347 - type: precision_at_1 value: 13.3 - type: precision_at_10 value: 5.81 - type: precision_at_100 value: 1.466 - type: precision_at_1000 value: 0.27 - type: precision_at_3 value: 9.9 - type: precision_at_5 value: 8.24 - type: recall_at_1 value: 2.713 - type: recall_at_10 value: 11.782 - type: recall_at_100 value: 29.782999999999998 - type: recall_at_1000 value: 54.893 - type: recall_at_3 value: 6.033 - type: recall_at_5 value: 8.347999999999999 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 76.63214304205766 - type: cos_sim_spearman value: 67.71499664891415 - type: euclidean_pearson value: 72.96053690788013 - type: euclidean_spearman value: 67.7150505294685 - type: manhattan_pearson value: 71.49242466797857 - type: manhattan_spearman value: 66.30592132651962 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 73.98202042588984 - type: cos_sim_spearman value: 66.78936320389309 - type: euclidean_pearson value: 70.21512206492227 - type: euclidean_spearman value: 66.79063000258616 - type: manhattan_pearson value: 71.20537398006118 - type: manhattan_spearman value: 68.24653806879788 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 78.0171307532766 - type: cos_sim_spearman value: 79.27543352695267 - type: euclidean_pearson value: 78.89714107587923 - 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task: type: STS dataset: type: None name: MTEB STS16 config: default split: test revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 metrics: - type: cos_sim_pearson value: 75.55753675792221 - type: cos_sim_spearman value: 76.89378362885061 - type: euclidean_pearson value: 76.6218145917796 - type: euclidean_spearman value: 76.89461265271441 - type: manhattan_pearson value: 77.4558040757338 - type: manhattan_spearman value: 77.8288305199812 - task: type: STS dataset: type: None name: MTEB STS17 (en-en) config: en-en split: test revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d metrics: - type: cos_sim_pearson value: 83.3112412907745 - type: cos_sim_spearman value: 84.57510944099658 - type: euclidean_pearson value: 84.50205420480455 - type: euclidean_spearman value: 84.57598327682105 - type: manhattan_pearson value: 84.74804769582275 - type: manhattan_spearman value: 84.99120851101564 - task: type: STS dataset: type: None name: MTEB STS22 (en) config: en split: test revision: eea2b4fe26a775864c896887d910b76a8098ad3f metrics: - 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