--- tags: - mteb model-index: - name: gte_wordllama_result results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 72.07462686567165 - type: ap value: 34.03639155919273 - type: f1 value: 65.69832537072352 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 69.453025 - type: ap value: 63.87884877644433 - type: f1 value: 69.23150048939367 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 36.364 - type: f1 value: 35.72067919658383 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 22.546 - type: map_at_10 value: 37.411 - type: map_at_100 value: 38.582 - type: map_at_1000 value: 38.597 - type: map_at_3 value: 32.492 - type: map_at_5 value: 35.141 - type: mrr_at_1 value: 23.186 - type: mrr_at_10 value: 37.651 - type: mrr_at_100 value: 38.822 - type: mrr_at_1000 value: 38.836999999999996 - type: mrr_at_3 value: 32.741 - type: mrr_at_5 value: 35.408 - type: ndcg_at_1 value: 22.546 - type: ndcg_at_10 value: 46.012 - type: ndcg_at_100 value: 51.197 - type: ndcg_at_1000 value: 51.547 - type: ndcg_at_3 value: 35.762 - type: ndcg_at_5 value: 40.567 - type: precision_at_1 value: 22.546 - type: precision_at_10 value: 7.367999999999999 - type: precision_at_100 value: 0.968 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 15.078 - type: precision_at_5 value: 11.394 - type: recall_at_1 value: 22.546 - type: recall_at_10 value: 73.68400000000001 - type: recall_at_100 value: 96.799 - type: recall_at_1000 value: 99.431 - type: recall_at_3 value: 45.235 - type: recall_at_5 value: 56.97 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 39.643731613769525 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 29.63510872385387 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 55.581954717688454 - type: mrr value: 69.65857626522447 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 79.65184787408168 - type: cos_sim_spearman value: 76.59391391898701 - type: euclidean_pearson value: 78.27369147487082 - type: euclidean_spearman value: 76.59391391898701 - type: manhattan_pearson value: 78.35436546555296 - type: manhattan_spearman value: 76.41258448606804 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 75.67532467532469 - type: f1 value: 74.96407787263568 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 34.80818669258118 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 27.110794795227715 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 22.831000000000003 - type: map_at_10 value: 30.358 - type: map_at_100 value: 31.708 - type: map_at_1000 value: 31.857999999999997 - type: map_at_3 value: 27.721 - type: map_at_5 value: 29.054000000000002 - type: mrr_at_1 value: 29.041 - type: mrr_at_10 value: 36.405 - type: mrr_at_100 value: 37.358000000000004 - type: mrr_at_1000 value: 37.419999999999995 - type: mrr_at_3 value: 34.335 - type: mrr_at_5 value: 35.365 - type: ndcg_at_1 value: 29.041 - type: ndcg_at_10 value: 35.673 - type: ndcg_at_100 value: 41.432 - type: ndcg_at_1000 value: 44.372 - type: ndcg_at_3 value: 31.707 - type: ndcg_at_5 value: 33.147999999999996 - type: precision_at_1 value: 29.041 - type: precision_at_10 value: 6.895999999999999 - type: precision_at_100 value: 1.237 - type: precision_at_1000 value: 0.181 - type: precision_at_3 value: 15.212 - type: precision_at_5 value: 10.901 - type: recall_at_1 value: 22.831000000000003 - type: recall_at_10 value: 45.234 - type: recall_at_100 value: 70.658 - type: recall_at_1000 value: 90.70700000000001 - type: recall_at_3 value: 32.729 - type: recall_at_5 value: 37.242 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 18.834 - type: map_at_10 value: 25.796999999999997 - type: map_at_100 value: 26.881 - type: map_at_1000 value: 27.004 - type: map_at_3 value: 23.857999999999997 - type: map_at_5 value: 24.89 - type: mrr_at_1 value: 24.204 - type: mrr_at_10 value: 30.529 - type: mrr_at_100 value: 31.386999999999997 - type: mrr_at_1000 value: 31.456 - type: mrr_at_3 value: 28.715000000000003 - type: mrr_at_5 value: 29.658 - type: ndcg_at_1 value: 24.204 - type: ndcg_at_10 value: 30.053 - type: ndcg_at_100 value: 34.826 - type: ndcg_at_1000 value: 37.557 - type: ndcg_at_3 value: 26.927 - type: ndcg_at_5 value: 28.205999999999996 - type: precision_at_1 value: 24.204 - type: precision_at_10 value: 5.561 - type: precision_at_100 value: 1.011 - type: precision_at_1000 value: 0.152 - type: precision_at_3 value: 12.994 - type: precision_at_5 value: 9.107999999999999 - type: recall_at_1 value: 18.834 - type: recall_at_10 value: 38.022 - type: recall_at_100 value: 58.587 - type: recall_at_1000 value: 76.953 - type: recall_at_3 value: 28.777 - type: recall_at_5 value: 32.372 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 28.138999999999996 - type: map_at_10 value: 37.378 - type: map_at_100 value: 38.576 - type: map_at_1000 value: 38.673 - type: map_at_3 value: 34.733000000000004 - type: map_at_5 value: 36.083999999999996 - type: mrr_at_1 value: 32.414 - type: mrr_at_10 value: 40.589999999999996 - type: mrr_at_100 value: 41.519 - type: mrr_at_1000 value: 41.577999999999996 - type: mrr_at_3 value: 38.213 - type: mrr_at_5 value: 39.428999999999995 - type: ndcg_at_1 value: 32.414 - type: ndcg_at_10 value: 42.501 - type: ndcg_at_100 value: 47.715 - type: ndcg_at_1000 value: 49.899 - type: ndcg_at_3 value: 37.595 - type: ndcg_at_5 value: 39.653 - type: precision_at_1 value: 32.414 - type: precision_at_10 value: 6.978 - type: precision_at_100 value: 1.054 - type: precision_at_1000 value: 0.131 - type: precision_at_3 value: 16.761 - type: precision_at_5 value: 11.498 - type: recall_at_1 value: 28.138999999999996 - type: recall_at_10 value: 54.803999999999995 - type: recall_at_100 value: 77.648 - type: recall_at_1000 value: 93.545 - type: recall_at_3 value: 41.323 - type: recall_at_5 value: 46.489999999999995 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 13.864 - type: map_at_10 value: 18.775 - type: map_at_100 value: 19.706000000000003 - type: map_at_1000 value: 19.822 - type: map_at_3 value: 17.314 - type: map_at_5 value: 18.028 - type: mrr_at_1 value: 14.915000000000001 - type: mrr_at_10 value: 20.095 - type: mrr_at_100 value: 20.992 - type: mrr_at_1000 value: 21.092 - type: mrr_at_3 value: 18.587999999999997 - type: mrr_at_5 value: 19.271 - type: ndcg_at_1 value: 14.915000000000001 - type: ndcg_at_10 value: 21.811 - type: ndcg_at_100 value: 26.656000000000002 - type: ndcg_at_1000 value: 30.009000000000004 - type: ndcg_at_3 value: 18.790000000000003 - type: ndcg_at_5 value: 20.009 - type: precision_at_1 value: 14.915000000000001 - type: precision_at_10 value: 3.401 - type: precision_at_100 value: 0.623 - type: precision_at_1000 value: 0.095 - type: precision_at_3 value: 8.06 - type: precision_at_5 value: 5.537 - type: recall_at_1 value: 13.864 - type: recall_at_10 value: 29.914 - type: recall_at_100 value: 52.580000000000005 - type: recall_at_1000 value: 78.648 - type: recall_at_3 value: 21.586 - type: recall_at_5 value: 24.58 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 7.223 - type: map_at_10 value: 12.272 - type: map_at_100 value: 13.252 - type: map_at_1000 value: 13.381000000000002 - type: map_at_3 value: 10.610999999999999 - type: map_at_5 value: 11.505 - type: mrr_at_1 value: 9.203999999999999 - type: mrr_at_10 value: 14.639 - type: mrr_at_100 value: 15.629000000000001 - type: mrr_at_1000 value: 15.733 - type: mrr_at_3 value: 12.852 - type: mrr_at_5 value: 13.797999999999998 - type: ndcg_at_1 value: 9.203999999999999 - type: ndcg_at_10 value: 15.543999999999999 - type: ndcg_at_100 value: 20.89 - type: ndcg_at_1000 value: 24.547 - type: ndcg_at_3 value: 12.264 - type: ndcg_at_5 value: 13.748 - type: precision_at_1 value: 9.203999999999999 - type: precision_at_10 value: 3.085 - type: precision_at_100 value: 0.688 - type: precision_at_1000 value: 0.11299999999999999 - type: precision_at_3 value: 6.095 - type: precision_at_5 value: 4.677 - type: recall_at_1 value: 7.223 - type: recall_at_10 value: 23.268 - type: recall_at_100 value: 47.452 - type: recall_at_1000 value: 74.69200000000001 - type: recall_at_3 value: 14.437 - type: recall_at_5 value: 18.007 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 19.661 - type: map_at_10 value: 26.145000000000003 - type: map_at_100 value: 27.477 - type: map_at_1000 value: 27.622999999999998 - type: map_at_3 value: 23.315 - type: map_at_5 value: 24.87 - type: mrr_at_1 value: 24.157999999999998 - type: mrr_at_10 value: 31.035 - type: mrr_at_100 value: 32.011 - type: mrr_at_1000 value: 32.086999999999996 - type: mrr_at_3 value: 28.199999999999996 - type: mrr_at_5 value: 29.769000000000002 - type: ndcg_at_1 value: 24.157999999999998 - type: ndcg_at_10 value: 31.249 - type: ndcg_at_100 value: 37.319 - type: ndcg_at_1000 value: 40.394999999999996 - type: ndcg_at_3 value: 26.184 - type: ndcg_at_5 value: 28.518 - type: precision_at_1 value: 24.157999999999998 - type: precision_at_10 value: 5.9479999999999995 - type: precision_at_100 value: 1.077 - type: precision_at_1000 value: 0.156 - type: precision_at_3 value: 12.191 - type: precision_at_5 value: 9.142999999999999 - type: recall_at_1 value: 19.661 - type: recall_at_10 value: 41.959 - type: recall_at_100 value: 68.22399999999999 - type: recall_at_1000 value: 89.071 - type: recall_at_3 value: 27.617000000000004 - type: recall_at_5 value: 33.693 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 15.714 - type: map_at_10 value: 21.786 - type: map_at_100 value: 23.052 - type: map_at_1000 value: 23.186999999999998 - type: map_at_3 value: 19.286 - type: map_at_5 value: 20.699 - type: mrr_at_1 value: 19.064 - type: mrr_at_10 value: 25.576 - type: mrr_at_100 value: 26.613 - type: mrr_at_1000 value: 26.697 - type: mrr_at_3 value: 23.212 - type: mrr_at_5 value: 24.553 - type: ndcg_at_1 value: 19.064 - type: ndcg_at_10 value: 26.19 - type: ndcg_at_100 value: 32.019 - type: ndcg_at_1000 value: 35.323 - type: ndcg_at_3 value: 21.609 - type: ndcg_at_5 value: 23.747 - type: precision_at_1 value: 19.064 - type: precision_at_10 value: 5.045999999999999 - type: precision_at_100 value: 0.947 - type: precision_at_1000 value: 0.14100000000000001 - type: precision_at_3 value: 10.16 - type: precision_at_5 value: 7.693999999999999 - type: recall_at_1 value: 15.714 - type: recall_at_10 value: 35.846000000000004 - type: recall_at_100 value: 60.885 - type: recall_at_1000 value: 84.437 - type: recall_at_3 value: 23.357 - type: recall_at_5 value: 28.698 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 15.797416666666667 - type: map_at_10 value: 21.674916666666668 - type: map_at_100 value: 22.73633333333333 - type: map_at_1000 value: 22.868583333333333 - type: map_at_3 value: 19.66508333333333 - type: map_at_5 value: 20.75133333333333 - type: mrr_at_1 value: 19.052333333333333 - type: mrr_at_10 value: 24.958083333333335 - type: mrr_at_100 value: 25.862666666666666 - type: mrr_at_1000 value: 25.95 - type: mrr_at_3 value: 23.02525 - type: mrr_at_5 value: 24.053166666666666 - type: ndcg_at_1 value: 19.052333333333333 - type: ndcg_at_10 value: 25.618249999999996 - type: ndcg_at_100 value: 30.751666666666665 - type: ndcg_at_1000 value: 33.93783333333333 - type: ndcg_at_3 value: 21.966166666666666 - type: ndcg_at_5 value: 23.569333333333333 - type: precision_at_1 value: 19.052333333333333 - type: precision_at_10 value: 4.6321666666666665 - type: precision_at_100 value: 0.8673333333333333 - type: precision_at_1000 value: 0.13283333333333333 - type: precision_at_3 value: 10.15075 - type: precision_at_5 value: 7.330416666666667 - type: recall_at_1 value: 15.797416666666667 - type: recall_at_10 value: 34.28000000000001 - type: recall_at_100 value: 57.498416666666664 - type: recall_at_1000 value: 80.52425000000001 - type: recall_at_3 value: 23.929416666666665 - type: recall_at_5 value: 28.09466666666667 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 11.323 - type: map_at_10 value: 17.07 - type: map_at_100 value: 17.849999999999998 - type: map_at_1000 value: 17.957 - type: map_at_3 value: 15.414 - type: map_at_5 value: 16.431 - type: mrr_at_1 value: 13.497 - type: mrr_at_10 value: 19.188 - type: mrr_at_100 value: 19.978 - type: mrr_at_1000 value: 20.071 - type: mrr_at_3 value: 17.663999999999998 - type: mrr_at_5 value: 18.538 - type: ndcg_at_1 value: 13.497 - type: ndcg_at_10 value: 20.485999999999997 - type: ndcg_at_100 value: 24.855 - type: ndcg_at_1000 value: 27.773999999999997 - type: ndcg_at_3 value: 17.399 - type: ndcg_at_5 value: 18.988 - type: precision_at_1 value: 13.497 - type: precision_at_10 value: 3.5740000000000003 - type: precision_at_100 value: 0.63 - type: precision_at_1000 value: 0.096 - type: precision_at_3 value: 8.129 - type: precision_at_5 value: 5.92 - type: recall_at_1 value: 11.323 - type: recall_at_10 value: 28.92 - type: recall_at_100 value: 49.75 - type: recall_at_1000 value: 71.492 - type: recall_at_3 value: 20.452 - type: recall_at_5 value: 24.346 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 8.625 - type: map_at_10 value: 12.41 - type: map_at_100 value: 13.200999999999999 - type: map_at_1000 value: 13.333999999999998 - type: map_at_3 value: 11.141 - type: map_at_5 value: 11.776 - type: mrr_at_1 value: 10.805 - type: mrr_at_10 value: 14.979999999999999 - type: mrr_at_100 value: 15.759 - type: mrr_at_1000 value: 15.867 - type: mrr_at_3 value: 13.569999999999999 - type: mrr_at_5 value: 14.316 - type: ndcg_at_1 value: 10.805 - type: ndcg_at_10 value: 15.129999999999999 - type: ndcg_at_100 value: 19.339000000000002 - type: ndcg_at_1000 value: 23.034 - type: ndcg_at_3 value: 12.661 - type: ndcg_at_5 value: 13.664000000000001 - type: precision_at_1 value: 10.805 - type: precision_at_10 value: 2.88 - type: precision_at_100 value: 0.5950000000000001 - type: precision_at_1000 value: 0.109 - type: precision_at_3 value: 6.091 - type: precision_at_5 value: 4.4319999999999995 - type: recall_at_1 value: 8.625 - type: recall_at_10 value: 20.924 - type: recall_at_100 value: 40.343 - type: recall_at_1000 value: 67.60199999999999 - type: recall_at_3 value: 13.963000000000001 - type: recall_at_5 value: 16.558999999999997 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 15.116999999999999 - type: map_at_10 value: 20.283 - type: map_at_100 value: 21.181 - type: map_at_1000 value: 21.318 - type: map_at_3 value: 18.528 - type: map_at_5 value: 19.506 - type: mrr_at_1 value: 17.91 - type: mrr_at_10 value: 23.399 - type: mrr_at_100 value: 24.254 - type: mrr_at_1000 value: 24.36 - type: mrr_at_3 value: 21.502 - type: mrr_at_5 value: 22.617 - type: ndcg_at_1 value: 17.91 - type: ndcg_at_10 value: 23.848 - type: ndcg_at_100 value: 28.63 - type: ndcg_at_1000 value: 32.236 - type: ndcg_at_3 value: 20.351 - type: ndcg_at_5 value: 21.992 - type: precision_at_1 value: 17.91 - type: precision_at_10 value: 4.011 - type: precision_at_100 value: 0.722 - type: precision_at_1000 value: 0.116 - type: precision_at_3 value: 9.049 - type: precision_at_5 value: 6.455 - type: recall_at_1 value: 15.116999999999999 - type: recall_at_10 value: 31.911 - type: recall_at_100 value: 53.791999999999994 - type: recall_at_1000 value: 79.997 - type: recall_at_3 value: 22.229 - type: recall_at_5 value: 26.366 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 15.415999999999999 - type: map_at_10 value: 21.364 - type: map_at_100 value: 22.631 - type: map_at_1000 value: 22.832 - type: map_at_3 value: 19.139999999999997 - type: map_at_5 value: 20.549 - type: mrr_at_1 value: 19.368 - type: mrr_at_10 value: 25.218 - type: mrr_at_100 value: 26.135 - type: mrr_at_1000 value: 26.218999999999998 - type: mrr_at_3 value: 23.155 - type: mrr_at_5 value: 24.371000000000002 - type: ndcg_at_1 value: 19.368 - type: ndcg_at_10 value: 25.715 - type: ndcg_at_100 value: 31.291999999999998 - type: ndcg_at_1000 value: 34.757 - type: ndcg_at_3 value: 22.131999999999998 - type: ndcg_at_5 value: 24.018 - type: precision_at_1 value: 19.368 - type: precision_at_10 value: 5.138 - type: precision_at_100 value: 1.229 - type: precision_at_1000 value: 0.209 - type: precision_at_3 value: 10.474 - type: precision_at_5 value: 7.904999999999999 - type: recall_at_1 value: 15.415999999999999 - type: recall_at_10 value: 33.83 - type: recall_at_100 value: 60.19799999999999 - type: recall_at_1000 value: 83.88600000000001 - type: recall_at_3 value: 23.018 - type: recall_at_5 value: 28.37 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 12.822 - type: map_at_10 value: 16.461000000000002 - type: map_at_100 value: 17.321 - type: map_at_1000 value: 17.434 - type: map_at_3 value: 14.92 - type: map_at_5 value: 15.623999999999999 - type: mrr_at_1 value: 14.048 - type: mrr_at_10 value: 17.843 - type: mrr_at_100 value: 18.717 - type: mrr_at_1000 value: 18.82 - type: mrr_at_3 value: 16.297 - type: mrr_at_5 value: 16.953 - type: ndcg_at_1 value: 14.048 - type: ndcg_at_10 value: 19.219 - type: ndcg_at_100 value: 24.047 - type: ndcg_at_1000 value: 27.351 - type: ndcg_at_3 value: 15.975 - type: ndcg_at_5 value: 17.141000000000002 - type: precision_at_1 value: 14.048 - type: precision_at_10 value: 3.068 - type: precision_at_100 value: 0.5950000000000001 - type: precision_at_1000 value: 0.095 - type: precision_at_3 value: 6.593 - type: precision_at_5 value: 4.695 - type: recall_at_1 value: 12.822 - type: recall_at_10 value: 26.728 - type: recall_at_100 value: 49.864000000000004 - type: recall_at_1000 value: 75.261 - type: recall_at_3 value: 17.665 - type: recall_at_5 value: 20.413 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 8.301 - type: map_at_10 value: 14.709 - type: map_at_100 value: 16.396 - type: map_at_1000 value: 16.606 - type: map_at_3 value: 11.987 - type: map_at_5 value: 13.401 - type: mrr_at_1 value: 19.088 - type: mrr_at_10 value: 29.421999999999997 - type: mrr_at_100 value: 30.517 - type: mrr_at_1000 value: 30.568 - type: mrr_at_3 value: 25.646 - type: mrr_at_5 value: 27.897 - type: ndcg_at_1 value: 19.088 - type: ndcg_at_10 value: 21.851000000000003 - type: ndcg_at_100 value: 29.093999999999998 - type: ndcg_at_1000 value: 33.101 - type: ndcg_at_3 value: 16.862 - type: ndcg_at_5 value: 18.790000000000003 - type: precision_at_1 value: 19.088 - type: precision_at_10 value: 7.244000000000001 - type: precision_at_100 value: 1.496 - type: precision_at_1000 value: 0.22300000000000003 - type: precision_at_3 value: 12.812000000000001 - type: precision_at_5 value: 10.41 - type: recall_at_1 value: 8.301 - type: recall_at_10 value: 27.49 - type: recall_at_100 value: 52.937999999999995 - type: recall_at_1000 value: 75.79599999999999 - type: recall_at_3 value: 15.603 - type: recall_at_5 value: 20.612 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 5.576 - type: map_at_10 value: 11.394 - type: map_at_100 value: 16.276 - type: map_at_1000 value: 17.459 - type: map_at_3 value: 8.269 - type: map_at_5 value: 9.711 - type: mrr_at_1 value: 47.25 - type: mrr_at_10 value: 57.201 - type: mrr_at_100 value: 57.727 - type: mrr_at_1000 value: 57.751 - type: mrr_at_3 value: 54.458 - type: mrr_at_5 value: 56.421 - type: ndcg_at_1 value: 35.25 - type: ndcg_at_10 value: 26.617 - type: ndcg_at_100 value: 30.952 - type: ndcg_at_1000 value: 38.287 - type: ndcg_at_3 value: 29.814 - type: ndcg_at_5 value: 28.436 - type: precision_at_1 value: 47.25 - type: precision_at_10 value: 23.175 - type: precision_at_100 value: 7.6450000000000005 - type: precision_at_1000 value: 1.624 - type: precision_at_3 value: 35.667 - type: precision_at_5 value: 30.65 - type: recall_at_1 value: 5.576 - type: recall_at_10 value: 15.804000000000002 - type: recall_at_100 value: 38.086 - type: recall_at_1000 value: 63.034 - type: recall_at_3 value: 9.407 - type: recall_at_5 value: 12.247 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 47.21 - type: f1 value: 43.021356364911156 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 17.775 - type: map_at_10 value: 27.131 - type: map_at_100 value: 28.186 - type: map_at_1000 value: 28.255999999999997 - type: map_at_3 value: 24.198 - type: map_at_5 value: 25.907000000000004 - type: mrr_at_1 value: 19.006999999999998 - type: mrr_at_10 value: 28.769 - type: mrr_at_100 value: 29.809 - type: mrr_at_1000 value: 29.866 - type: mrr_at_3 value: 25.773000000000003 - type: mrr_at_5 value: 27.51 - type: ndcg_at_1 value: 19.006999999999998 - type: ndcg_at_10 value: 32.698 - type: ndcg_at_100 value: 37.891999999999996 - type: ndcg_at_1000 value: 39.728 - type: ndcg_at_3 value: 26.680999999999997 - type: ndcg_at_5 value: 29.73 - type: precision_at_1 value: 19.006999999999998 - type: precision_at_10 value: 5.2909999999999995 - type: precision_at_100 value: 0.8049999999999999 - type: precision_at_1000 value: 0.098 - type: precision_at_3 value: 11.616 - type: precision_at_5 value: 8.554 - type: recall_at_1 value: 17.775 - type: recall_at_10 value: 48.603 - type: recall_at_100 value: 72.465 - type: recall_at_1000 value: 86.509 - type: recall_at_3 value: 32.26 - type: recall_at_5 value: 39.589999999999996 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 8.584 - type: map_at_10 value: 13.774000000000001 - type: map_at_100 value: 15.247 - type: map_at_1000 value: 15.468000000000002 - type: map_at_3 value: 11.779 - type: map_at_5 value: 12.732 - type: mrr_at_1 value: 16.512 - type: mrr_at_10 value: 23.016000000000002 - type: mrr_at_100 value: 24.276 - type: mrr_at_1000 value: 24.362000000000002 - type: mrr_at_3 value: 20.756 - type: mrr_at_5 value: 21.852 - type: ndcg_at_1 value: 16.512 - type: ndcg_at_10 value: 18.604000000000003 - type: ndcg_at_100 value: 25.298 - type: ndcg_at_1000 value: 29.803 - type: ndcg_at_3 value: 15.790000000000001 - type: ndcg_at_5 value: 16.614 - type: precision_at_1 value: 16.512 - type: precision_at_10 value: 5.293 - type: precision_at_100 value: 1.17 - type: precision_at_1000 value: 0.196 - type: precision_at_3 value: 10.237 - type: precision_at_5 value: 7.7780000000000005 - type: recall_at_1 value: 8.584 - type: recall_at_10 value: 23.685000000000002 - type: recall_at_100 value: 49.461 - type: recall_at_1000 value: 76.972 - type: recall_at_3 value: 14.657 - type: recall_at_5 value: 17.861 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 19.662 - type: map_at_10 value: 28.195999999999998 - type: map_at_100 value: 29.21 - type: map_at_1000 value: 29.322 - type: map_at_3 value: 25.852999999999998 - type: map_at_5 value: 27.121000000000002 - type: mrr_at_1 value: 39.324999999999996 - type: mrr_at_10 value: 47.083999999999996 - type: mrr_at_100 value: 47.805 - type: mrr_at_1000 value: 47.853 - type: mrr_at_3 value: 44.913 - type: mrr_at_5 value: 46.132 - type: ndcg_at_1 value: 39.324999999999996 - type: ndcg_at_10 value: 35.766999999999996 - type: ndcg_at_100 value: 40.306 - type: ndcg_at_1000 value: 42.870000000000005 - type: ndcg_at_3 value: 31.395 - type: ndcg_at_5 value: 33.469 - type: precision_at_1 value: 39.324999999999996 - type: precision_at_10 value: 7.933999999999999 - type: precision_at_100 value: 1.157 - type: precision_at_1000 value: 0.15 - type: precision_at_3 value: 19.855999999999998 - type: precision_at_5 value: 13.556000000000001 - type: recall_at_1 value: 19.662 - type: recall_at_10 value: 39.669 - type: recall_at_100 value: 57.833 - type: recall_at_1000 value: 74.929 - type: recall_at_3 value: 29.784 - type: recall_at_5 value: 33.889 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 68.03079999999999 - type: ap value: 62.45465282637356 - type: f1 value: 67.82133366706746 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 7.297 - type: map_at_10 value: 12.847 - type: map_at_100 value: 13.872000000000002 - type: map_at_1000 value: 13.987 - type: map_at_3 value: 10.741 - type: map_at_5 value: 11.838999999999999 - type: mrr_at_1 value: 7.536 - type: mrr_at_10 value: 13.157 - type: mrr_at_100 value: 14.184 - type: mrr_at_1000 value: 14.295 - type: mrr_at_3 value: 11.020000000000001 - type: mrr_at_5 value: 12.133 - type: ndcg_at_1 value: 7.507 - type: ndcg_at_10 value: 16.374 - type: ndcg_at_100 value: 22.039 - type: ndcg_at_1000 value: 25.380999999999997 - type: ndcg_at_3 value: 11.935 - type: ndcg_at_5 value: 13.919999999999998 - type: precision_at_1 value: 7.507 - type: precision_at_10 value: 2.8449999999999998 - type: precision_at_100 value: 0.581 - type: precision_at_1000 value: 0.087 - type: precision_at_3 value: 5.191 - type: precision_at_5 value: 4.112 - type: recall_at_1 value: 7.297 - type: recall_at_10 value: 27.450999999999997 - type: recall_at_100 value: 55.215 - type: recall_at_1000 value: 81.878 - type: recall_at_3 value: 15.143 - type: recall_at_5 value: 19.922 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 91.23347013223893 - type: f1 value: 90.37745005574784 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 60.43775649794802 - type: f1 value: 41.826394298669705 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 65.53799596503026 - type: f1 value: 63.37514998537075 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 72.92535305985206 - type: f1 value: 72.01043365342854 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 31.093053205851135 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 27.838169401102558 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 31.012335830272843 - type: mrr value: 32.04656357642063 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 4.865 - type: map_at_10 value: 9.599 - type: map_at_100 value: 12.466000000000001 - type: map_at_1000 value: 13.935 - type: map_at_3 value: 7.260999999999999 - type: map_at_5 value: 8.526 - type: mrr_at_1 value: 38.080000000000005 - type: mrr_at_10 value: 47.695 - type: mrr_at_100 value: 48.304 - type: mrr_at_1000 value: 48.351 - type: mrr_at_3 value: 45.098 - type: mrr_at_5 value: 46.569 - type: ndcg_at_1 value: 36.223 - type: ndcg_at_10 value: 28.582 - type: ndcg_at_100 value: 27.229 - type: ndcg_at_1000 value: 36.643 - type: ndcg_at_3 value: 32.653 - type: ndcg_at_5 value: 31.215 - type: precision_at_1 value: 38.080000000000005 - type: precision_at_10 value: 21.207 - type: precision_at_100 value: 7.498 - type: precision_at_1000 value: 2.104 - type: precision_at_3 value: 30.65 - type: precision_at_5 value: 27.059 - type: recall_at_1 value: 4.865 - type: recall_at_10 value: 13.614 - type: recall_at_100 value: 29.659999999999997 - type: recall_at_1000 value: 63.172 - type: recall_at_3 value: 8.248 - type: recall_at_5 value: 10.684000000000001 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 10.581 - type: map_at_10 value: 18.221 - type: map_at_100 value: 19.637999999999998 - type: map_at_1000 value: 19.737 - type: map_at_3 value: 15.341 - type: map_at_5 value: 16.943 - type: mrr_at_1 value: 12.051 - type: mrr_at_10 value: 20.102 - type: mrr_at_100 value: 21.385 - type: mrr_at_1000 value: 21.465 - type: mrr_at_3 value: 17.159 - type: mrr_at_5 value: 18.851000000000003 - type: ndcg_at_1 value: 12.051 - type: ndcg_at_10 value: 23.267 - type: ndcg_at_100 value: 30.211 - type: ndcg_at_1000 value: 32.878 - type: ndcg_at_3 value: 17.354 - type: ndcg_at_5 value: 20.247999999999998 - type: precision_at_1 value: 12.051 - type: precision_at_10 value: 4.356999999999999 - type: precision_at_100 value: 0.827 - type: precision_at_1000 value: 0.108 - type: precision_at_3 value: 8.266 - type: precision_at_5 value: 6.553000000000001 - type: recall_at_1 value: 10.581 - type: recall_at_10 value: 37.119 - type: recall_at_100 value: 68.89699999999999 - type: recall_at_1000 value: 89.354 - type: recall_at_3 value: 21.404999999999998 - type: recall_at_5 value: 28.194000000000003 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 66.119 - type: map_at_10 value: 79.611 - type: map_at_100 value: 80.354 - type: map_at_1000 value: 80.38 - type: map_at_3 value: 76.606 - type: map_at_5 value: 78.485 - type: mrr_at_1 value: 76.12 - type: mrr_at_10 value: 83.328 - type: mrr_at_100 value: 83.499 - type: mrr_at_1000 value: 83.502 - type: mrr_at_3 value: 82.00699999999999 - type: mrr_at_5 value: 82.89699999999999 - type: ndcg_at_1 value: 76.22 - type: ndcg_at_10 value: 84.051 - type: ndcg_at_100 value: 85.797 - type: ndcg_at_1000 value: 86.007 - type: ndcg_at_3 value: 80.646 - type: ndcg_at_5 value: 82.50800000000001 - type: precision_at_1 value: 76.22 - type: precision_at_10 value: 12.76 - type: precision_at_100 value: 1.5010000000000001 - type: precision_at_1000 value: 0.156 - type: precision_at_3 value: 35.160000000000004 - type: precision_at_5 value: 23.264000000000003 - type: recall_at_1 value: 66.119 - type: recall_at_10 value: 92.664 - type: recall_at_100 value: 98.863 - type: recall_at_1000 value: 99.91 - type: recall_at_3 value: 82.994 - type: recall_at_5 value: 88.119 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 43.342566470284666 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 51.11469484366251 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 3.2680000000000002 - type: map_at_10 value: 8.579 - type: map_at_100 value: 10.421999999999999 - type: map_at_1000 value: 10.737 - type: map_at_3 value: 6.0040000000000004 - type: map_at_5 value: 7.26 - type: mrr_at_1 value: 16.0 - type: mrr_at_10 value: 26.185000000000002 - type: mrr_at_100 value: 27.439000000000004 - type: mrr_at_1000 value: 27.511999999999997 - type: mrr_at_3 value: 22.917 - type: mrr_at_5 value: 24.642 - type: ndcg_at_1 value: 16.0 - type: ndcg_at_10 value: 15.232000000000001 - type: ndcg_at_100 value: 23.047 - type: ndcg_at_1000 value: 28.774 - type: ndcg_at_3 value: 13.834 - type: ndcg_at_5 value: 12.304 - type: precision_at_1 value: 16.0 - type: precision_at_10 value: 8.19 - type: precision_at_100 value: 1.958 - type: precision_at_1000 value: 0.333 - type: precision_at_3 value: 13.167000000000002 - type: precision_at_5 value: 11.06 - type: recall_at_1 value: 3.2680000000000002 - type: recall_at_10 value: 16.563 - type: recall_at_100 value: 39.708 - type: recall_at_1000 value: 67.60199999999999 - type: recall_at_3 value: 8.018 - type: recall_at_5 value: 11.193 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 78.76771912274579 - type: cos_sim_spearman value: 68.21965433585433 - type: euclidean_pearson value: 73.41725536408647 - type: euclidean_spearman value: 68.21970849513703 - type: manhattan_pearson value: 73.07310010299138 - type: manhattan_spearman value: 68.02842343011922 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 77.24856339472711 - type: cos_sim_spearman value: 68.13233535199409 - type: euclidean_pearson value: 72.83173400932682 - type: euclidean_spearman value: 68.13353961544857 - type: manhattan_pearson value: 72.364020033214 - type: manhattan_spearman value: 67.96817473009628 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 78.11822706559114 - type: cos_sim_spearman value: 78.82692788488787 - type: euclidean_pearson value: 78.42176146428962 - 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