--- tags: - mteb model-index: - name: nomic_classification results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 71.86567164179104 - type: ap value: 34.245594561996064 - type: f1 value: 65.69023935040455 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 65.190925 - type: ap value: 60.21626939955754 - type: f1 value: 64.943414550771 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 34.529999999999994 - type: f1 value: 34.01639094527221 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 21.55 - type: map_at_10 value: 35.416 - type: map_at_100 value: 36.602000000000004 - type: map_at_1000 value: 36.625 - type: map_at_3 value: 30.725 - type: map_at_5 value: 33.35 - type: mrr_at_1 value: 21.906 - type: mrr_at_10 value: 35.553000000000004 - type: mrr_at_100 value: 36.746 - type: mrr_at_1000 value: 36.769 - type: mrr_at_3 value: 30.819999999999997 - type: mrr_at_5 value: 33.495000000000005 - type: ndcg_at_1 value: 21.55 - type: ndcg_at_10 value: 43.527 - type: ndcg_at_100 value: 49.025 - type: ndcg_at_1000 value: 49.586999999999996 - type: ndcg_at_3 value: 33.772000000000006 - type: ndcg_at_5 value: 38.57 - type: precision_at_1 value: 21.55 - type: precision_at_10 value: 6.963 - type: precision_at_100 value: 0.947 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 14.201 - type: precision_at_5 value: 10.882 - type: recall_at_1 value: 21.55 - type: recall_at_10 value: 69.63000000000001 - type: recall_at_100 value: 94.73700000000001 - type: recall_at_1000 value: 99.075 - type: recall_at_3 value: 42.603 - type: recall_at_5 value: 54.410000000000004 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 34.411339757911335 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 24.489247458031933 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 53.582468551652696 - type: mrr value: 68.10425185771446 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 81.96093442776794 - type: cos_sim_spearman value: 79.80362560866212 - type: euclidean_pearson value: 81.2337598243594 - type: euclidean_spearman value: 79.80362560866212 - type: manhattan_pearson value: 80.54695854084805 - type: manhattan_spearman value: 79.70904514032895 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 73.23051948051948 - type: f1 value: 72.48430722973309 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 32.40784337223032 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 23.628387342867686 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 21.909 - type: map_at_10 value: 30.186 - type: map_at_100 value: 31.301000000000002 - type: map_at_1000 value: 31.457 - type: map_at_3 value: 27.752 - type: map_at_5 value: 29.255 - type: mrr_at_1 value: 27.467999999999996 - type: mrr_at_10 value: 35.655 - type: mrr_at_100 value: 36.535000000000004 - type: mrr_at_1000 value: 36.608000000000004 - type: mrr_at_3 value: 33.882 - type: mrr_at_5 value: 34.961999999999996 - type: ndcg_at_1 value: 27.467999999999996 - type: ndcg_at_10 value: 35.17 - type: ndcg_at_100 value: 40.136 - type: ndcg_at_1000 value: 43.254999999999995 - type: ndcg_at_3 value: 31.884 - type: ndcg_at_5 value: 33.532000000000004 - type: precision_at_1 value: 27.467999999999996 - type: precision_at_10 value: 6.694999999999999 - type: precision_at_100 value: 1.133 - type: precision_at_1000 value: 0.17099999999999999 - type: precision_at_3 value: 15.689 - type: precision_at_5 value: 11.302 - type: recall_at_1 value: 21.909 - type: recall_at_10 value: 44.008 - type: recall_at_100 value: 65.989 - type: recall_at_1000 value: 87.046 - type: recall_at_3 value: 33.733000000000004 - type: recall_at_5 value: 38.626 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 17.623 - type: map_at_10 value: 23.324 - type: map_at_100 value: 24.287 - type: map_at_1000 value: 24.410999999999998 - type: map_at_3 value: 21.392 - type: map_at_5 value: 22.477 - type: mrr_at_1 value: 22.229 - type: mrr_at_10 value: 27.71 - type: mrr_at_100 value: 28.523 - type: mrr_at_1000 value: 28.596 - type: mrr_at_3 value: 25.775 - type: mrr_at_5 value: 26.895999999999997 - type: ndcg_at_1 value: 22.229 - type: ndcg_at_10 value: 27.252 - type: ndcg_at_100 value: 31.616 - type: ndcg_at_1000 value: 34.488 - type: ndcg_at_3 value: 23.926 - type: ndcg_at_5 value: 25.467000000000002 - type: precision_at_1 value: 22.229 - type: precision_at_10 value: 5.032 - type: precision_at_100 value: 0.903 - type: precision_at_1000 value: 0.14100000000000001 - type: precision_at_3 value: 11.359 - type: precision_at_5 value: 8.229000000000001 - type: recall_at_1 value: 17.623 - type: recall_at_10 value: 34.613 - type: recall_at_100 value: 53.784 - type: recall_at_1000 value: 73.289 - type: recall_at_3 value: 25.121 - type: recall_at_5 value: 29.132 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 26.368000000000002 - type: map_at_10 value: 35.022 - type: map_at_100 value: 36.187999999999995 - type: map_at_1000 value: 36.278 - type: map_at_3 value: 32.594 - type: map_at_5 value: 33.910000000000004 - type: mrr_at_1 value: 30.596 - type: mrr_at_10 value: 38.29 - type: mrr_at_100 value: 39.225 - type: mrr_at_1000 value: 39.28 - type: mrr_at_3 value: 36.019 - type: mrr_at_5 value: 37.285000000000004 - type: ndcg_at_1 value: 30.596 - type: ndcg_at_10 value: 39.788000000000004 - type: ndcg_at_100 value: 45.214 - type: ndcg_at_1000 value: 47.301 - type: ndcg_at_3 value: 35.28 - type: ndcg_at_5 value: 37.368 - type: precision_at_1 value: 30.596 - type: precision_at_10 value: 6.476 - type: precision_at_100 value: 1.004 - type: precision_at_1000 value: 0.126 - type: precision_at_3 value: 15.758 - type: precision_at_5 value: 10.871 - type: recall_at_1 value: 26.368000000000002 - type: recall_at_10 value: 50.973 - type: recall_at_100 value: 75.357 - type: recall_at_1000 value: 90.476 - type: recall_at_3 value: 38.754 - type: recall_at_5 value: 43.958000000000006 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 13.277 - type: map_at_10 value: 17.374000000000002 - type: map_at_100 value: 18.182000000000002 - type: map_at_1000 value: 18.291 - type: map_at_3 value: 15.982 - type: map_at_5 value: 16.750999999999998 - type: mrr_at_1 value: 14.463000000000001 - type: mrr_at_10 value: 18.637 - type: mrr_at_100 value: 19.448999999999998 - type: mrr_at_1000 value: 19.552 - type: mrr_at_3 value: 17.232 - type: mrr_at_5 value: 18.006 - type: ndcg_at_1 value: 14.463000000000001 - type: ndcg_at_10 value: 20.063 - type: ndcg_at_100 value: 24.509 - type: ndcg_at_1000 value: 27.875 - type: ndcg_at_3 value: 17.238 - type: ndcg_at_5 value: 18.594 - type: precision_at_1 value: 14.463000000000001 - type: precision_at_10 value: 3.0620000000000003 - type: precision_at_100 value: 0.563 - type: precision_at_1000 value: 0.09 - type: precision_at_3 value: 7.269 - type: precision_at_5 value: 5.106999999999999 - type: recall_at_1 value: 13.277 - type: recall_at_10 value: 27.250000000000004 - type: recall_at_100 value: 48.553000000000004 - type: recall_at_1000 value: 74.937 - type: recall_at_3 value: 19.586000000000002 - type: recall_at_5 value: 22.853 - 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: 9.888 - type: map_at_100 value: 10.645 - type: map_at_1000 value: 10.775 - type: map_at_3 value: 8.673 - type: map_at_5 value: 9.275 - type: mrr_at_1 value: 8.581999999999999 - type: mrr_at_10 value: 12.365 - type: mrr_at_100 value: 13.156 - type: mrr_at_1000 value: 13.257 - type: mrr_at_3 value: 10.883 - type: mrr_at_5 value: 11.616999999999999 - type: ndcg_at_1 value: 8.581999999999999 - type: ndcg_at_10 value: 12.469 - type: ndcg_at_100 value: 16.564 - type: ndcg_at_1000 value: 20.263 - type: ndcg_at_3 value: 10.001999999999999 - type: ndcg_at_5 value: 11.008 - type: precision_at_1 value: 8.581999999999999 - type: precision_at_10 value: 2.413 - type: precision_at_100 value: 0.525 - type: precision_at_1000 value: 0.098 - type: precision_at_3 value: 4.851 - type: precision_at_5 value: 3.6069999999999998 - type: recall_at_1 value: 6.497999999999999 - type: recall_at_10 value: 18.14 - type: recall_at_100 value: 36.699 - type: recall_at_1000 value: 64.044 - type: recall_at_3 value: 11.245 - type: recall_at_5 value: 13.8 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 17.617 - type: map_at_10 value: 23.912 - type: map_at_100 value: 25.165 - type: map_at_1000 value: 25.298 - type: map_at_3 value: 21.953 - type: map_at_5 value: 23.114 - type: mrr_at_1 value: 22.137 - type: mrr_at_10 value: 28.62 - type: mrr_at_100 value: 29.653000000000002 - type: mrr_at_1000 value: 29.73 - type: mrr_at_3 value: 26.58 - type: mrr_at_5 value: 27.836 - type: ndcg_at_1 value: 22.137 - type: ndcg_at_10 value: 28.138 - type: ndcg_at_100 value: 34.032000000000004 - type: ndcg_at_1000 value: 37.022 - type: ndcg_at_3 value: 24.783 - type: ndcg_at_5 value: 26.512 - type: precision_at_1 value: 22.137 - type: precision_at_10 value: 5.101 - type: precision_at_100 value: 0.971 - type: precision_at_1000 value: 0.14200000000000002 - type: precision_at_3 value: 11.709999999999999 - type: precision_at_5 value: 8.488999999999999 - type: recall_at_1 value: 17.617 - type: recall_at_10 value: 36.367 - type: recall_at_100 value: 61.939 - type: recall_at_1000 value: 82.565 - type: recall_at_3 value: 26.651000000000003 - type: recall_at_5 value: 31.312 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 12.742999999999999 - type: map_at_10 value: 18.634999999999998 - type: map_at_100 value: 19.686 - type: map_at_1000 value: 19.825 - type: map_at_3 value: 16.689999999999998 - type: map_at_5 value: 17.785 - type: mrr_at_1 value: 16.096 - type: mrr_at_10 value: 22.177 - type: mrr_at_100 value: 23.058 - type: mrr_at_1000 value: 23.154 - type: mrr_at_3 value: 20.166999999999998 - type: mrr_at_5 value: 21.263 - type: ndcg_at_1 value: 16.096 - type: ndcg_at_10 value: 22.555 - type: ndcg_at_100 value: 27.561000000000003 - type: ndcg_at_1000 value: 31.012 - type: ndcg_at_3 value: 18.897 - type: ndcg_at_5 value: 20.567 - type: precision_at_1 value: 16.096 - type: precision_at_10 value: 4.326 - type: precision_at_100 value: 0.8130000000000001 - type: precision_at_1000 value: 0.129 - type: precision_at_3 value: 9.209 - type: precision_at_5 value: 6.804 - type: recall_at_1 value: 12.742999999999999 - type: recall_at_10 value: 31.034 - type: recall_at_100 value: 52.913 - type: recall_at_1000 value: 77.389 - type: recall_at_3 value: 20.778 - type: recall_at_5 value: 25.112000000000002 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 14.406833333333333 - type: map_at_10 value: 19.934083333333334 - type: map_at_100 value: 20.85825 - type: map_at_1000 value: 20.98333333333333 - type: map_at_3 value: 18.2575 - type: map_at_5 value: 19.182499999999997 - type: mrr_at_1 value: 17.532666666666668 - type: mrr_at_10 value: 23.07375 - type: mrr_at_100 value: 23.89891666666667 - type: mrr_at_1000 value: 23.984416666666668 - type: mrr_at_3 value: 21.403166666666664 - type: mrr_at_5 value: 22.338 - type: ndcg_at_1 value: 17.532666666666668 - type: ndcg_at_10 value: 23.479833333333332 - type: ndcg_at_100 value: 28.046916666666664 - type: ndcg_at_1000 value: 31.1955 - type: ndcg_at_3 value: 20.464666666666666 - type: ndcg_at_5 value: 21.841500000000003 - type: precision_at_1 value: 17.532666666666668 - type: precision_at_10 value: 4.1924166666666665 - type: precision_at_100 value: 0.7695833333333333 - type: precision_at_1000 value: 0.12216666666666667 - type: precision_at_3 value: 9.573 - type: precision_at_5 value: 6.846333333333334 - type: recall_at_1 value: 14.406833333333333 - type: recall_at_10 value: 31.059000000000005 - type: recall_at_100 value: 51.878999999999984 - type: recall_at_1000 value: 74.73100000000001 - type: recall_at_3 value: 22.483916666666666 - type: recall_at_5 value: 26.078250000000004 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 10.663 - type: map_at_10 value: 15.082999999999998 - type: map_at_100 value: 15.715000000000002 - type: map_at_1000 value: 15.792 - type: map_at_3 value: 13.69 - type: map_at_5 value: 14.334 - type: mrr_at_1 value: 12.883 - type: mrr_at_10 value: 17.253 - type: mrr_at_100 value: 17.897 - type: mrr_at_1000 value: 17.967 - type: mrr_at_3 value: 15.848999999999998 - type: mrr_at_5 value: 16.516000000000002 - type: ndcg_at_1 value: 12.883 - type: ndcg_at_10 value: 18.035999999999998 - type: ndcg_at_100 value: 21.682000000000002 - type: ndcg_at_1000 value: 24.154 - type: ndcg_at_3 value: 15.343000000000002 - type: ndcg_at_5 value: 16.342000000000002 - type: precision_at_1 value: 12.883 - type: precision_at_10 value: 3.16 - type: precision_at_100 value: 0.5459999999999999 - type: precision_at_1000 value: 0.083 - type: precision_at_3 value: 7.106 - type: precision_at_5 value: 5.0 - type: recall_at_1 value: 10.663 - type: recall_at_10 value: 25.131999999999998 - type: recall_at_100 value: 42.794 - type: recall_at_1000 value: 61.895999999999994 - type: recall_at_3 value: 17.408 - type: recall_at_5 value: 19.972 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 7.84 - type: map_at_10 value: 11.468 - type: map_at_100 value: 12.093 - type: map_at_1000 value: 12.218 - type: map_at_3 value: 10.407 - type: map_at_5 value: 10.994 - type: mrr_at_1 value: 9.635 - type: mrr_at_10 value: 13.725999999999999 - type: mrr_at_100 value: 14.350999999999999 - type: mrr_at_1000 value: 14.457 - type: mrr_at_3 value: 12.479999999999999 - type: mrr_at_5 value: 13.177 - type: ndcg_at_1 value: 9.635 - type: ndcg_at_10 value: 13.883000000000001 - type: ndcg_at_100 value: 17.405 - type: ndcg_at_1000 value: 20.951 - type: ndcg_at_3 value: 11.841 - type: ndcg_at_5 value: 12.792 - type: precision_at_1 value: 9.635 - type: precision_at_10 value: 2.581 - type: precision_at_100 value: 0.523 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 5.689 - type: precision_at_5 value: 4.178 - type: recall_at_1 value: 7.84 - type: recall_at_10 value: 18.947 - type: recall_at_100 value: 35.474 - type: recall_at_1000 value: 61.73800000000001 - type: recall_at_3 value: 13.311 - type: recall_at_5 value: 15.661 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 12.769 - type: map_at_10 value: 17.686 - type: map_at_100 value: 18.549 - type: map_at_1000 value: 18.672 - type: map_at_3 value: 16.253999999999998 - type: map_at_5 value: 17.000999999999998 - type: mrr_at_1 value: 15.392 - type: mrr_at_10 value: 20.598 - type: mrr_at_100 value: 21.468999999999998 - type: mrr_at_1000 value: 21.567 - type: mrr_at_3 value: 19.061 - type: mrr_at_5 value: 19.835 - type: ndcg_at_1 value: 15.392 - type: ndcg_at_10 value: 20.961 - type: ndcg_at_100 value: 25.308000000000003 - type: ndcg_at_1000 value: 28.685 - type: ndcg_at_3 value: 18.151 - type: ndcg_at_5 value: 19.317999999999998 - type: precision_at_1 value: 15.392 - type: precision_at_10 value: 3.582 - type: precision_at_100 value: 0.628 - type: precision_at_1000 value: 0.104 - type: precision_at_3 value: 8.396 - type: precision_at_5 value: 5.821 - type: recall_at_1 value: 12.769 - type: recall_at_10 value: 28.26 - type: recall_at_100 value: 47.811 - type: recall_at_1000 value: 72.509 - type: recall_at_3 value: 20.357 - type: recall_at_5 value: 23.401 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 14.102 - type: map_at_10 value: 20.848 - type: map_at_100 value: 21.936 - type: map_at_1000 value: 22.125 - type: map_at_3 value: 19.093 - type: map_at_5 value: 20.074 - type: mrr_at_1 value: 17.787 - type: mrr_at_10 value: 24.442 - type: mrr_at_100 value: 25.296999999999997 - type: mrr_at_1000 value: 25.377 - type: mrr_at_3 value: 22.858999999999998 - type: mrr_at_5 value: 23.827 - type: ndcg_at_1 value: 17.787 - type: ndcg_at_10 value: 25.006 - type: ndcg_at_100 value: 29.798000000000002 - type: ndcg_at_1000 value: 33.355000000000004 - type: ndcg_at_3 value: 22.293 - type: ndcg_at_5 value: 23.555 - type: precision_at_1 value: 17.787 - type: precision_at_10 value: 4.96 - type: precision_at_100 value: 1.083 - type: precision_at_1000 value: 0.192 - type: precision_at_3 value: 11.001 - type: precision_at_5 value: 7.904999999999999 - type: recall_at_1 value: 14.102 - type: recall_at_10 value: 32.765 - type: recall_at_100 value: 55.206 - type: recall_at_1000 value: 79.739 - type: recall_at_3 value: 24.52 - type: recall_at_5 value: 28.175 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 11.472999999999999 - type: map_at_10 value: 15.783 - type: map_at_100 value: 16.552 - type: map_at_1000 value: 16.658 - type: map_at_3 value: 14.610000000000001 - type: map_at_5 value: 15.22 - type: mrr_at_1 value: 13.123999999999999 - type: mrr_at_10 value: 17.412 - type: mrr_at_100 value: 18.174 - type: mrr_at_1000 value: 18.268 - type: mrr_at_3 value: 16.051000000000002 - type: mrr_at_5 value: 16.836000000000002 - type: ndcg_at_1 value: 13.123999999999999 - type: ndcg_at_10 value: 18.437 - type: ndcg_at_100 value: 22.738 - type: ndcg_at_1000 value: 25.985000000000003 - type: ndcg_at_3 value: 15.937999999999999 - type: ndcg_at_5 value: 17.043 - type: precision_at_1 value: 13.123999999999999 - type: precision_at_10 value: 2.921 - type: precision_at_100 value: 0.543 - type: precision_at_1000 value: 0.091 - type: precision_at_3 value: 6.839 - type: precision_at_5 value: 4.843 - type: recall_at_1 value: 11.472999999999999 - type: recall_at_10 value: 25.219 - type: recall_at_100 value: 46.028999999999996 - type: recall_at_1000 value: 71.14399999999999 - type: recall_at_3 value: 18.343 - type: recall_at_5 value: 20.937 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 6.212 - type: map_at_10 value: 11.229 - type: map_at_100 value: 12.620999999999999 - type: map_at_1000 value: 12.812999999999999 - type: map_at_3 value: 9.027000000000001 - type: map_at_5 value: 10.135 - type: mrr_at_1 value: 13.29 - type: mrr_at_10 value: 22.08 - type: mrr_at_100 value: 23.244 - type: mrr_at_1000 value: 23.311999999999998 - type: mrr_at_3 value: 19.012 - type: mrr_at_5 value: 20.787 - type: ndcg_at_1 value: 13.29 - type: ndcg_at_10 value: 16.852 - type: ndcg_at_100 value: 23.425 - type: ndcg_at_1000 value: 27.465 - type: ndcg_at_3 value: 12.653 - type: ndcg_at_5 value: 14.24 - type: precision_at_1 value: 13.29 - type: precision_at_10 value: 5.7 - type: precision_at_100 value: 1.28 - type: precision_at_1000 value: 0.201 - type: precision_at_3 value: 9.707 - type: precision_at_5 value: 7.9479999999999995 - type: recall_at_1 value: 6.212 - type: recall_at_10 value: 21.806 - type: recall_at_100 value: 45.243 - type: recall_at_1000 value: 68.709 - type: recall_at_3 value: 11.941 - type: recall_at_5 value: 15.844 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 4.373 - type: map_at_10 value: 9.591 - type: map_at_100 value: 13.075000000000001 - type: map_at_1000 value: 14.018 - type: map_at_3 value: 6.93 - type: map_at_5 value: 8.189 - type: mrr_at_1 value: 40.0 - type: mrr_at_10 value: 49.713 - type: mrr_at_100 value: 50.497 - type: mrr_at_1000 value: 50.527 - type: mrr_at_3 value: 47.083000000000006 - type: mrr_at_5 value: 48.333 - type: ndcg_at_1 value: 28.875 - type: ndcg_at_10 value: 23.486 - type: ndcg_at_100 value: 26.192 - type: ndcg_at_1000 value: 32.922000000000004 - type: ndcg_at_3 value: 26.246000000000002 - type: ndcg_at_5 value: 24.769 - type: precision_at_1 value: 40.0 - type: precision_at_10 value: 20.5 - type: precision_at_100 value: 6.3950000000000005 - type: precision_at_1000 value: 1.362 - type: precision_at_3 value: 30.917 - type: precision_at_5 value: 26.150000000000002 - type: recall_at_1 value: 4.373 - type: recall_at_10 value: 14.041999999999998 - type: recall_at_100 value: 32.055 - type: recall_at_1000 value: 54.351000000000006 - type: recall_at_3 value: 8.208 - type: recall_at_5 value: 10.615 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 45.045 - type: f1 value: 41.00531027586712 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 14.998000000000001 - type: map_at_10 value: 22.807 - type: map_at_100 value: 23.74 - type: map_at_1000 value: 23.816000000000003 - type: map_at_3 value: 20.333000000000002 - type: map_at_5 value: 21.712999999999997 - type: mrr_at_1 value: 16.006999999999998 - type: mrr_at_10 value: 24.233 - type: mrr_at_100 value: 25.163000000000004 - type: mrr_at_1000 value: 25.229000000000003 - type: mrr_at_3 value: 21.634999999999998 - type: mrr_at_5 value: 23.098 - type: ndcg_at_1 value: 16.006999999999998 - type: ndcg_at_10 value: 27.578000000000003 - type: ndcg_at_100 value: 32.391 - type: ndcg_at_1000 value: 34.504000000000005 - type: ndcg_at_3 value: 22.457 - type: ndcg_at_5 value: 24.947 - type: precision_at_1 value: 16.006999999999998 - type: precision_at_10 value: 4.487 - type: precision_at_100 value: 0.707 - type: precision_at_1000 value: 0.091 - type: precision_at_3 value: 9.780999999999999 - type: precision_at_5 value: 7.2010000000000005 - type: recall_at_1 value: 14.998000000000001 - type: recall_at_10 value: 41.201 - type: recall_at_100 value: 63.800000000000004 - type: recall_at_1000 value: 80.15299999999999 - type: recall_at_3 value: 27.288 - type: recall_at_5 value: 33.263999999999996 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 6.297 - type: map_at_10 value: 10.769 - type: map_at_100 value: 11.923 - type: map_at_1000 value: 12.117 - type: map_at_3 value: 9.28 - type: map_at_5 value: 10.001 - type: mrr_at_1 value: 12.963 - type: mrr_at_10 value: 18.951999999999998 - type: mrr_at_100 value: 19.976 - type: mrr_at_1000 value: 20.073 - type: mrr_at_3 value: 16.847 - type: mrr_at_5 value: 17.904 - type: ndcg_at_1 value: 12.963 - type: ndcg_at_10 value: 14.979999999999999 - type: ndcg_at_100 value: 20.588 - type: ndcg_at_1000 value: 25.121 - type: ndcg_at_3 value: 12.697 - type: ndcg_at_5 value: 13.337 - type: precision_at_1 value: 12.963 - type: precision_at_10 value: 4.367 - type: precision_at_100 value: 0.9950000000000001 - type: precision_at_1000 value: 0.17700000000000002 - type: precision_at_3 value: 8.693 - type: precision_at_5 value: 6.419999999999999 - type: recall_at_1 value: 6.297 - type: recall_at_10 value: 19.400000000000002 - type: recall_at_100 value: 41.400999999999996 - type: recall_at_1000 value: 70.163 - type: recall_at_3 value: 11.884 - type: recall_at_5 value: 14.549999999999999 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 17.677 - type: map_at_10 value: 24.685000000000002 - type: map_at_100 value: 25.604 - type: map_at_1000 value: 25.717000000000002 - type: map_at_3 value: 22.747 - type: map_at_5 value: 23.846 - type: mrr_at_1 value: 35.354 - type: mrr_at_10 value: 42.126999999999995 - type: mrr_at_100 value: 42.867 - type: mrr_at_1000 value: 42.925000000000004 - type: mrr_at_3 value: 40.241 - type: mrr_at_5 value: 41.3 - type: ndcg_at_1 value: 35.354 - type: ndcg_at_10 value: 31.438 - type: ndcg_at_100 value: 35.666 - type: ndcg_at_1000 value: 38.346000000000004 - type: ndcg_at_3 value: 27.766999999999996 - type: ndcg_at_5 value: 29.572 - type: precision_at_1 value: 35.354 - type: precision_at_10 value: 6.8870000000000005 - type: precision_at_100 value: 1.026 - type: precision_at_1000 value: 0.13799999999999998 - type: precision_at_3 value: 17.424999999999997 - type: precision_at_5 value: 11.889 - type: recall_at_1 value: 17.677 - type: recall_at_10 value: 34.436 - type: recall_at_100 value: 51.303 - type: recall_at_1000 value: 69.18299999999999 - type: recall_at_3 value: 26.138 - type: recall_at_5 value: 29.723 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 64.3004 - type: ap value: 59.425036750361784 - type: f1 value: 64.15840309881166 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 6.418 - type: map_at_10 value: 11.181000000000001 - type: map_at_100 value: 12.078 - type: map_at_1000 value: 12.18 - type: map_at_3 value: 9.414 - type: map_at_5 value: 10.359 - type: mrr_at_1 value: 6.59 - type: mrr_at_10 value: 11.479000000000001 - type: mrr_at_100 value: 12.377 - type: mrr_at_1000 value: 12.475 - type: mrr_at_3 value: 9.678 - type: mrr_at_5 value: 10.639999999999999 - type: ndcg_at_1 value: 6.59 - type: ndcg_at_10 value: 14.152000000000001 - type: ndcg_at_100 value: 19.037000000000003 - type: ndcg_at_1000 value: 22.125 - type: ndcg_at_3 value: 10.456 - type: ndcg_at_5 value: 12.166 - type: precision_at_1 value: 6.59 - type: precision_at_10 value: 2.436 - type: precision_at_100 value: 0.49699999999999994 - type: precision_at_1000 value: 0.076 - type: precision_at_3 value: 4.556 - type: precision_at_5 value: 3.6020000000000003 - type: recall_at_1 value: 6.418 - type: recall_at_10 value: 23.385 - type: recall_at_100 value: 47.169 - type: recall_at_1000 value: 71.995 - type: recall_at_3 value: 13.209000000000001 - type: recall_at_5 value: 17.335 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 89.67852257181941 - type: f1 value: 88.95204075691726 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 60.597355221158224 - type: f1 value: 41.690585365044186 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 63.056489576328175 - type: f1 value: 60.956720996001664 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 69.88231338264963 - type: f1 value: 68.65445434231955 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 28.16245614593283 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 25.243876419694487 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 29.22788130698314 - type: mrr value: 30.181799152132406 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 3.611 - type: map_at_10 value: 7.911 - type: map_at_100 value: 9.895 - type: map_at_1000 value: 11.193999999999999 - type: map_at_3 value: 5.93 - type: map_at_5 value: 6.979 - type: mrr_at_1 value: 32.817 - type: mrr_at_10 value: 42.955 - type: mrr_at_100 value: 43.657000000000004 - type: mrr_at_1000 value: 43.723 - type: mrr_at_3 value: 40.351 - type: mrr_at_5 value: 42.224000000000004 - type: ndcg_at_1 value: 30.186 - type: ndcg_at_10 value: 24.783 - type: ndcg_at_100 value: 22.906000000000002 - type: ndcg_at_1000 value: 32.609 - type: ndcg_at_3 value: 27.786 - type: ndcg_at_5 value: 27.322999999999997 - type: precision_at_1 value: 32.817 - type: precision_at_10 value: 18.39 - type: precision_at_100 value: 6.297 - type: precision_at_1000 value: 1.9539999999999997 - type: precision_at_3 value: 26.625 - type: precision_at_5 value: 24.149 - type: recall_at_1 value: 3.611 - type: recall_at_10 value: 12.184000000000001 - type: recall_at_100 value: 24.642 - type: recall_at_1000 value: 59.829 - type: recall_at_3 value: 7.317 - type: recall_at_5 value: 9.702 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 9.258 - type: map_at_10 value: 15.838 - type: map_at_100 value: 16.97 - type: map_at_1000 value: 17.072000000000003 - type: map_at_3 value: 13.285 - type: map_at_5 value: 14.606 - type: mrr_at_1 value: 10.545 - type: mrr_at_10 value: 17.453 - type: mrr_at_100 value: 18.516 - type: mrr_at_1000 value: 18.601 - type: mrr_at_3 value: 14.813 - type: mrr_at_5 value: 16.189999999999998 - type: ndcg_at_1 value: 10.545 - type: ndcg_at_10 value: 20.278 - type: ndcg_at_100 value: 26.200000000000003 - type: ndcg_at_1000 value: 28.956 - type: ndcg_at_3 value: 14.963000000000001 - type: ndcg_at_5 value: 17.347 - type: precision_at_1 value: 10.545 - type: precision_at_10 value: 3.8350000000000004 - type: precision_at_100 value: 0.722 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 7.03 - type: precision_at_5 value: 5.556 - type: recall_at_1 value: 9.258 - type: recall_at_10 value: 32.551 - type: recall_at_100 value: 60.39 - type: recall_at_1000 value: 81.441 - type: recall_at_3 value: 18.346999999999998 - type: recall_at_5 value: 23.947 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 63.037 - type: map_at_10 value: 75.644 - type: map_at_100 value: 76.417 - type: map_at_1000 value: 76.452 - type: map_at_3 value: 72.71600000000001 - type: map_at_5 value: 74.504 - type: mrr_at_1 value: 72.69 - type: mrr_at_10 value: 80.037 - type: mrr_at_100 value: 80.291 - type: mrr_at_1000 value: 80.296 - type: mrr_at_3 value: 78.615 - type: mrr_at_5 value: 79.54 - type: ndcg_at_1 value: 72.75 - type: ndcg_at_10 value: 80.316 - type: ndcg_at_100 value: 82.48299999999999 - type: ndcg_at_1000 value: 82.876 - type: ndcg_at_3 value: 76.778 - type: ndcg_at_5 value: 78.63900000000001 - type: precision_at_1 value: 72.75 - type: precision_at_10 value: 12.110999999999999 - type: precision_at_100 value: 1.452 - type: precision_at_1000 value: 0.154 - type: precision_at_3 value: 33.243 - type: precision_at_5 value: 21.974 - type: recall_at_1 value: 63.037 - type: recall_at_10 value: 89.183 - type: recall_at_100 value: 97.38799999999999 - type: recall_at_1000 value: 99.591 - type: recall_at_3 value: 79.041 - type: recall_at_5 value: 84.25200000000001 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 38.90354115378983 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 45.41196647530998 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 3.013 - type: map_at_10 value: 6.869 - type: map_at_100 value: 8.216 - type: map_at_1000 value: 8.462 - type: map_at_3 value: 5.042 - type: map_at_5 value: 5.970000000000001 - type: mrr_at_1 value: 14.799999999999999 - type: mrr_at_10 value: 22.184 - type: mrr_at_100 value: 23.485 - type: mrr_at_1000 value: 23.57 - type: mrr_at_3 value: 19.383 - type: mrr_at_5 value: 20.938000000000002 - type: ndcg_at_1 value: 14.799999999999999 - type: ndcg_at_10 value: 12.223 - type: ndcg_at_100 value: 18.508 - type: ndcg_at_1000 value: 23.544 - type: ndcg_at_3 value: 11.488 - type: ndcg_at_5 value: 10.095 - type: precision_at_1 value: 14.799999999999999 - type: precision_at_10 value: 6.329999999999999 - type: precision_at_100 value: 1.546 - type: precision_at_1000 value: 0.27599999999999997 - type: precision_at_3 value: 10.567 - type: precision_at_5 value: 8.799999999999999 - type: recall_at_1 value: 3.013 - type: recall_at_10 value: 12.828000000000001 - type: recall_at_100 value: 31.408 - type: recall_at_1000 value: 56.157000000000004 - type: recall_at_3 value: 6.433 - type: recall_at_5 value: 8.903 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 76.5160077089625 - type: cos_sim_spearman value: 67.28825297023138 - type: euclidean_pearson value: 72.39938443269206 - type: euclidean_spearman value: 67.28835245540397 - type: manhattan_pearson value: 69.46413862678756 - type: manhattan_spearman value: 65.04853993701172 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 74.53773965480292 - type: cos_sim_spearman value: 67.41284745598715 - type: euclidean_pearson value: 70.57848011423972 - type: euclidean_spearman value: 67.4141763023251 - type: manhattan_pearson value: 70.0268534606741 - type: manhattan_spearman value: 67.8439837728854 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 78.2216356861313 - type: cos_sim_spearman value: 79.37038668590753 - type: euclidean_pearson value: 79.01512518225226 - 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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: 76.43507688364112 - type: cos_sim_spearman value: 77.63882301316933 - type: euclidean_pearson value: 77.25501398026381 - type: euclidean_spearman value: 77.63965196736244 - type: manhattan_pearson value: 77.67118978923139 - type: manhattan_spearman value: 78.01084214592416 - task: type: STS dataset: type: None name: MTEB STS17 (en-en) config: en-en split: test revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d metrics: - type: cos_sim_pearson value: 84.39964672680482 - type: cos_sim_spearman value: 85.4075592513342 - type: euclidean_pearson value: 85.111606756296 - type: euclidean_spearman value: 85.40843260765956 - type: manhattan_pearson value: 84.8842901249278 - type: manhattan_spearman value: 85.63868618596224 - task: type: STS dataset: type: None name: MTEB STS22 (en) config: en split: test revision: eea2b4fe26a775864c896887d910b76a8098ad3f metrics: - 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