--- tags: - mteb model-index: - name: gte_WORDLLAMA_MODEL2VEC_result results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 73.13432835820896 - type: ap value: 35.167459200441506 - type: f1 value: 66.74544259725131 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 71.5158 - type: ap value: 65.87290139797425 - type: f1 value: 71.31117308043078 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 37.032 - type: f1 value: 36.34554421029957 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 23.541999999999998 - type: map_at_10 value: 38.172 - type: map_at_100 value: 39.339 - type: map_at_1000 value: 39.353 - type: map_at_3 value: 33.286 - type: map_at_5 value: 35.942 - type: mrr_at_1 value: 24.253 - type: mrr_at_10 value: 38.423 - type: mrr_at_100 value: 39.589 - type: mrr_at_1000 value: 39.604 - type: mrr_at_3 value: 33.559 - type: mrr_at_5 value: 36.169000000000004 - type: ndcg_at_1 value: 23.541999999999998 - type: ndcg_at_10 value: 46.660000000000004 - type: ndcg_at_100 value: 51.800999999999995 - type: ndcg_at_1000 value: 52.147 - type: ndcg_at_3 value: 36.498000000000005 - type: ndcg_at_5 value: 41.309000000000005 - type: precision_at_1 value: 23.541999999999998 - type: precision_at_10 value: 7.396999999999999 - type: precision_at_100 value: 0.9690000000000001 - type: precision_at_1000 value: 0.1 - type: precision_at_3 value: 15.268 - type: precision_at_5 value: 11.508000000000001 - type: recall_at_1 value: 23.541999999999998 - type: recall_at_10 value: 73.969 - type: recall_at_100 value: 96.871 - type: recall_at_1000 value: 99.502 - type: recall_at_3 value: 45.804 - type: recall_at_5 value: 57.538999999999994 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 39.8392617925804 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 29.39147233524174 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 55.43457632808065 - type: mrr value: 69.7011168271556 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 79.40924171268267 - type: cos_sim_spearman value: 76.48728498335026 - type: euclidean_pearson value: 78.11322656013188 - type: euclidean_spearman value: 76.48728498335026 - type: manhattan_pearson value: 78.39882365124392 - type: manhattan_spearman value: 76.55837094044142 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 75.63311688311688 - type: f1 value: 74.89031278068427 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 34.47759744268641 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 26.72176842867392 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 21.918000000000003 - type: map_at_10 value: 29.912 - type: map_at_100 value: 31.205 - type: map_at_1000 value: 31.357000000000003 - type: map_at_3 value: 27.206000000000003 - type: map_at_5 value: 28.613 - type: mrr_at_1 value: 27.897 - type: mrr_at_10 value: 35.921 - type: mrr_at_100 value: 36.825 - type: mrr_at_1000 value: 36.894 - type: mrr_at_3 value: 33.858 - type: mrr_at_5 value: 34.881 - type: ndcg_at_1 value: 27.897 - type: ndcg_at_10 value: 35.306 - type: ndcg_at_100 value: 40.955999999999996 - type: ndcg_at_1000 value: 43.909 - type: ndcg_at_3 value: 31.422 - type: ndcg_at_5 value: 32.89 - type: precision_at_1 value: 27.897 - type: precision_at_10 value: 6.9239999999999995 - type: precision_at_100 value: 1.233 - type: precision_at_1000 value: 0.18 - type: precision_at_3 value: 15.451 - type: precision_at_5 value: 11.044 - type: recall_at_1 value: 21.918000000000003 - type: recall_at_10 value: 45.171 - type: recall_at_100 value: 70.226 - type: recall_at_1000 value: 90.279 - type: recall_at_3 value: 32.657000000000004 - type: recall_at_5 value: 37.372 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 20.456 - type: map_at_10 value: 26.596999999999998 - type: map_at_100 value: 27.639999999999997 - type: map_at_1000 value: 27.766000000000002 - type: map_at_3 value: 24.487000000000002 - type: map_at_5 value: 25.683 - type: mrr_at_1 value: 25.605 - type: mrr_at_10 value: 31.326999999999998 - type: mrr_at_100 value: 32.133 - type: mrr_at_1000 value: 32.198 - type: mrr_at_3 value: 29.310000000000002 - type: mrr_at_5 value: 30.431 - type: ndcg_at_1 value: 25.605 - type: ndcg_at_10 value: 30.728 - type: ndcg_at_100 value: 35.318 - type: ndcg_at_1000 value: 38.082 - type: ndcg_at_3 value: 27.226 - type: ndcg_at_5 value: 28.828 - type: precision_at_1 value: 25.605 - type: precision_at_10 value: 5.561 - type: precision_at_100 value: 1.001 - type: precision_at_1000 value: 0.15 - type: precision_at_3 value: 12.717999999999998 - type: precision_at_5 value: 9.134 - type: recall_at_1 value: 20.456 - type: recall_at_10 value: 38.476 - type: recall_at_100 value: 58.120000000000005 - type: recall_at_1000 value: 76.793 - type: recall_at_3 value: 28.232000000000003 - type: recall_at_5 value: 32.53 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 28.088 - type: map_at_10 value: 37.584 - type: map_at_100 value: 38.75 - type: map_at_1000 value: 38.842999999999996 - type: map_at_3 value: 34.839999999999996 - type: map_at_5 value: 36.352000000000004 - type: mrr_at_1 value: 32.476 - type: mrr_at_10 value: 40.892 - type: mrr_at_100 value: 41.792 - type: mrr_at_1000 value: 41.845 - type: mrr_at_3 value: 38.474000000000004 - type: mrr_at_5 value: 39.818999999999996 - type: ndcg_at_1 value: 32.476 - type: ndcg_at_10 value: 42.811 - type: ndcg_at_100 value: 48.045 - type: ndcg_at_1000 value: 50.09400000000001 - type: ndcg_at_3 value: 37.830000000000005 - type: ndcg_at_5 value: 40.168 - type: precision_at_1 value: 32.476 - type: precision_at_10 value: 7.034 - type: precision_at_100 value: 1.061 - type: precision_at_1000 value: 0.131 - type: precision_at_3 value: 16.949 - type: precision_at_5 value: 11.799 - type: recall_at_1 value: 28.088 - type: recall_at_10 value: 55.318 - type: recall_at_100 value: 78.66499999999999 - type: recall_at_1000 value: 93.415 - type: recall_at_3 value: 41.865 - type: recall_at_5 value: 47.675 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 13.13 - type: map_at_10 value: 18.506 - type: map_at_100 value: 19.405 - type: map_at_1000 value: 19.516 - type: map_at_3 value: 16.821 - type: map_at_5 value: 17.782 - type: mrr_at_1 value: 14.124 - type: mrr_at_10 value: 19.767000000000003 - type: mrr_at_100 value: 20.66 - type: mrr_at_1000 value: 20.755000000000003 - type: mrr_at_3 value: 18.023 - type: mrr_at_5 value: 19.0 - type: ndcg_at_1 value: 14.124 - type: ndcg_at_10 value: 21.728 - type: ndcg_at_100 value: 26.422 - type: ndcg_at_1000 value: 29.73 - type: ndcg_at_3 value: 18.312 - type: ndcg_at_5 value: 19.993 - type: precision_at_1 value: 14.124 - type: precision_at_10 value: 3.4459999999999997 - type: precision_at_100 value: 0.617 - type: precision_at_1000 value: 0.095 - type: precision_at_3 value: 7.91 - type: precision_at_5 value: 5.695 - type: recall_at_1 value: 13.13 - type: recall_at_10 value: 30.470000000000002 - type: recall_at_100 value: 52.449 - type: recall_at_1000 value: 78.25 - type: recall_at_3 value: 21.209 - type: recall_at_5 value: 25.281 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 7.7 - type: map_at_10 value: 12.333 - type: map_at_100 value: 13.367999999999999 - type: map_at_1000 value: 13.492 - type: map_at_3 value: 10.747 - type: map_at_5 value: 11.645999999999999 - type: mrr_at_1 value: 9.826 - type: mrr_at_10 value: 14.81 - type: mrr_at_100 value: 15.854 - type: mrr_at_1000 value: 15.953000000000001 - type: mrr_at_3 value: 13.039000000000001 - type: mrr_at_5 value: 14.046 - type: ndcg_at_1 value: 9.826 - type: ndcg_at_10 value: 15.437000000000001 - type: ndcg_at_100 value: 21.009 - type: ndcg_at_1000 value: 24.515 - type: ndcg_at_3 value: 12.349 - type: ndcg_at_5 value: 13.850000000000001 - type: precision_at_1 value: 9.826 - type: precision_at_10 value: 3.01 - type: precision_at_100 value: 0.692 - type: precision_at_1000 value: 0.11199999999999999 - type: precision_at_3 value: 6.053 - type: precision_at_5 value: 4.577 - type: recall_at_1 value: 7.7 - type: recall_at_10 value: 22.546 - type: recall_at_100 value: 47.648 - type: recall_at_1000 value: 73.655 - type: recall_at_3 value: 14.289 - type: recall_at_5 value: 17.994 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 19.886 - type: map_at_10 value: 26.63 - type: map_at_100 value: 27.944999999999997 - type: map_at_1000 value: 28.097 - type: map_at_3 value: 24.077 - type: map_at_5 value: 25.378 - type: mrr_at_1 value: 24.254 - type: mrr_at_10 value: 31.416 - type: mrr_at_100 value: 32.425 - type: mrr_at_1000 value: 32.501999999999995 - type: mrr_at_3 value: 28.793999999999997 - type: mrr_at_5 value: 30.237000000000002 - type: ndcg_at_1 value: 24.254 - type: ndcg_at_10 value: 31.524 - type: ndcg_at_100 value: 37.658 - type: ndcg_at_1000 value: 40.722 - type: ndcg_at_3 value: 26.953 - type: ndcg_at_5 value: 28.919 - type: precision_at_1 value: 24.254 - type: precision_at_10 value: 5.881 - type: precision_at_100 value: 1.072 - type: precision_at_1000 value: 0.155 - type: precision_at_3 value: 12.479999999999999 - type: precision_at_5 value: 9.105 - type: recall_at_1 value: 19.886 - type: recall_at_10 value: 41.593 - type: recall_at_100 value: 68.43599999999999 - type: recall_at_1000 value: 89.041 - type: recall_at_3 value: 28.723 - type: recall_at_5 value: 33.804 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 15.821 - type: map_at_10 value: 21.898999999999997 - type: map_at_100 value: 23.189 - type: map_at_1000 value: 23.323 - type: map_at_3 value: 19.634999999999998 - type: map_at_5 value: 20.848 - type: mrr_at_1 value: 19.064 - type: mrr_at_10 value: 25.784000000000002 - type: mrr_at_100 value: 26.828999999999997 - type: mrr_at_1000 value: 26.904 - type: mrr_at_3 value: 23.573 - type: mrr_at_5 value: 24.812 - type: ndcg_at_1 value: 19.064 - type: ndcg_at_10 value: 26.229999999999997 - type: ndcg_at_100 value: 32.326 - type: ndcg_at_1000 value: 35.435 - type: ndcg_at_3 value: 22.070999999999998 - type: ndcg_at_5 value: 23.93 - type: precision_at_1 value: 19.064 - type: precision_at_10 value: 4.966 - type: precision_at_100 value: 0.967 - type: precision_at_1000 value: 0.14100000000000001 - type: precision_at_3 value: 10.54 - type: precision_at_5 value: 7.785 - type: recall_at_1 value: 15.821 - type: recall_at_10 value: 35.516 - type: recall_at_100 value: 61.971 - type: recall_at_1000 value: 83.848 - type: recall_at_3 value: 23.97 - type: recall_at_5 value: 28.662 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 15.921916666666666 - type: map_at_10 value: 21.780166666666666 - type: map_at_100 value: 22.84433333333333 - type: map_at_1000 value: 22.975916666666667 - type: map_at_3 value: 19.735916666666665 - type: map_at_5 value: 20.860416666666666 - type: mrr_at_1 value: 19.054249999999996 - type: mrr_at_10 value: 25.021333333333335 - type: mrr_at_100 value: 25.93491666666667 - type: mrr_at_1000 value: 26.019166666666667 - type: mrr_at_3 value: 23.03583333333333 - type: mrr_at_5 value: 24.140000000000004 - type: ndcg_at_1 value: 19.054249999999996 - type: ndcg_at_10 value: 25.70233333333334 - type: ndcg_at_100 value: 30.890500000000003 - type: ndcg_at_1000 value: 34.02575 - type: ndcg_at_3 value: 22.017666666666663 - type: ndcg_at_5 value: 23.718666666666664 - type: precision_at_1 value: 19.054249999999996 - type: precision_at_10 value: 4.622083333333333 - type: precision_at_100 value: 0.86825 - type: precision_at_1000 value: 0.13258333333333333 - type: precision_at_3 value: 10.176166666666669 - type: precision_at_5 value: 7.382749999999999 - type: recall_at_1 value: 15.921916666666666 - type: recall_at_10 value: 34.314833333333326 - type: recall_at_100 value: 57.83341666666667 - type: recall_at_1000 value: 80.45625000000001 - type: recall_at_3 value: 23.967166666666667 - type: recall_at_5 value: 28.36841666666666 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 12.857 - type: map_at_10 value: 17.826 - type: map_at_100 value: 18.677 - type: map_at_1000 value: 18.775 - type: map_at_3 value: 16.227 - type: map_at_5 value: 17.168 - type: mrr_at_1 value: 14.877 - type: mrr_at_10 value: 19.784 - type: mrr_at_100 value: 20.662 - type: mrr_at_1000 value: 20.746000000000002 - type: mrr_at_3 value: 18.175 - type: mrr_at_5 value: 19.08 - type: ndcg_at_1 value: 14.877 - type: ndcg_at_10 value: 20.987000000000002 - type: ndcg_at_100 value: 25.654 - type: ndcg_at_1000 value: 28.360000000000003 - type: ndcg_at_3 value: 17.919 - type: ndcg_at_5 value: 19.404 - type: precision_at_1 value: 14.877 - type: precision_at_10 value: 3.528 - type: precision_at_100 value: 0.641 - type: precision_at_1000 value: 0.095 - type: precision_at_3 value: 8.129 - type: precision_at_5 value: 5.798 - type: recall_at_1 value: 12.857 - type: recall_at_10 value: 28.864 - type: recall_at_100 value: 50.943000000000005 - type: recall_at_1000 value: 71.158 - type: recall_at_3 value: 20.330000000000002 - type: recall_at_5 value: 24.03 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 8.823 - type: map_at_10 value: 12.664 - type: map_at_100 value: 13.447000000000001 - type: map_at_1000 value: 13.58 - type: map_at_3 value: 11.372 - type: map_at_5 value: 12.052 - type: mrr_at_1 value: 10.84 - type: mrr_at_10 value: 15.135000000000002 - type: mrr_at_100 value: 15.919 - type: mrr_at_1000 value: 16.026 - type: mrr_at_3 value: 13.702 - type: mrr_at_5 value: 14.496 - type: ndcg_at_1 value: 10.84 - type: ndcg_at_10 value: 15.375 - type: ndcg_at_100 value: 19.612 - type: ndcg_at_1000 value: 23.305 - type: ndcg_at_3 value: 12.879999999999999 - type: ndcg_at_5 value: 13.980999999999998 - type: precision_at_1 value: 10.84 - type: precision_at_10 value: 2.887 - type: precision_at_100 value: 0.599 - type: precision_at_1000 value: 0.109 - type: precision_at_3 value: 6.171 - type: precision_at_5 value: 4.522 - type: recall_at_1 value: 8.823 - type: recall_at_10 value: 21.19 - type: recall_at_100 value: 40.843 - type: recall_at_1000 value: 68.118 - type: recall_at_3 value: 14.219000000000001 - type: recall_at_5 value: 17.061 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 14.841999999999999 - type: map_at_10 value: 19.807 - type: map_at_100 value: 20.646 - type: map_at_1000 value: 20.782 - type: map_at_3 value: 17.881 - type: map_at_5 value: 18.94 - type: mrr_at_1 value: 17.631 - type: mrr_at_10 value: 22.949 - type: mrr_at_100 value: 23.727 - type: mrr_at_1000 value: 23.829 - type: mrr_at_3 value: 20.896 - type: mrr_at_5 value: 21.964 - type: ndcg_at_1 value: 17.631 - type: ndcg_at_10 value: 23.544999999999998 - type: ndcg_at_100 value: 28.042 - type: ndcg_at_1000 value: 31.66 - type: ndcg_at_3 value: 19.697 - type: ndcg_at_5 value: 21.467 - type: precision_at_1 value: 17.631 - type: precision_at_10 value: 4.039000000000001 - type: precision_at_100 value: 0.7080000000000001 - type: precision_at_1000 value: 0.11399999999999999 - type: precision_at_3 value: 8.831 - type: precision_at_5 value: 6.381 - type: recall_at_1 value: 14.841999999999999 - type: recall_at_10 value: 32.144 - type: recall_at_100 value: 52.896 - type: recall_at_1000 value: 79.3 - type: recall_at_3 value: 21.64 - type: recall_at_5 value: 26.127 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 15.182 - type: map_at_10 value: 21.423000000000002 - type: map_at_100 value: 22.766000000000002 - type: map_at_1000 value: 22.966 - type: map_at_3 value: 19.096 - type: map_at_5 value: 20.514 - type: mrr_at_1 value: 18.379 - type: mrr_at_10 value: 24.834999999999997 - type: mrr_at_100 value: 25.818 - type: mrr_at_1000 value: 25.893 - type: mrr_at_3 value: 22.628 - type: mrr_at_5 value: 24.032 - type: ndcg_at_1 value: 18.379 - type: ndcg_at_10 value: 25.766 - type: ndcg_at_100 value: 31.677 - type: ndcg_at_1000 value: 35.024 - type: ndcg_at_3 value: 22.027 - type: ndcg_at_5 value: 24.046 - type: precision_at_1 value: 18.379 - type: precision_at_10 value: 5.158 - type: precision_at_100 value: 1.2309999999999999 - type: precision_at_1000 value: 0.211 - type: precision_at_3 value: 10.474 - type: precision_at_5 value: 7.983999999999999 - type: recall_at_1 value: 15.182 - type: recall_at_10 value: 34.008 - type: recall_at_100 value: 61.882000000000005 - type: recall_at_1000 value: 84.635 - type: recall_at_3 value: 23.3 - type: recall_at_5 value: 28.732999999999997 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 12.36 - type: map_at_10 value: 16.181 - type: map_at_100 value: 17.094 - type: map_at_1000 value: 17.214 - type: map_at_3 value: 14.442 - type: map_at_5 value: 15.348999999999998 - type: mrr_at_1 value: 13.678 - type: mrr_at_10 value: 17.636 - type: mrr_at_100 value: 18.575 - type: mrr_at_1000 value: 18.685 - type: mrr_at_3 value: 15.958 - type: mrr_at_5 value: 16.882 - type: ndcg_at_1 value: 13.678 - type: ndcg_at_10 value: 18.991 - type: ndcg_at_100 value: 23.967 - type: ndcg_at_1000 value: 27.473 - type: ndcg_at_3 value: 15.526000000000002 - type: ndcg_at_5 value: 17.148 - type: precision_at_1 value: 13.678 - type: precision_at_10 value: 3.031 - type: precision_at_100 value: 0.597 - type: precision_at_1000 value: 0.098 - type: precision_at_3 value: 6.4079999999999995 - type: precision_at_5 value: 4.769 - type: recall_at_1 value: 12.36 - type: recall_at_10 value: 26.482 - type: recall_at_100 value: 49.922 - type: recall_at_1000 value: 76.983 - type: recall_at_3 value: 17.172 - type: recall_at_5 value: 21.152 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 8.464 - type: map_at_10 value: 14.78 - type: map_at_100 value: 16.436999999999998 - type: map_at_1000 value: 16.650000000000002 - type: map_at_3 value: 12.027000000000001 - type: map_at_5 value: 13.428999999999998 - type: mrr_at_1 value: 19.544 - type: mrr_at_10 value: 29.537999999999997 - type: mrr_at_100 value: 30.653000000000002 - type: mrr_at_1000 value: 30.708000000000002 - type: mrr_at_3 value: 25.798 - type: mrr_at_5 value: 28.072000000000003 - type: ndcg_at_1 value: 19.544 - type: ndcg_at_10 value: 21.953 - type: ndcg_at_100 value: 29.188 - type: ndcg_at_1000 value: 33.222 - type: ndcg_at_3 value: 16.89 - type: ndcg_at_5 value: 18.825 - type: precision_at_1 value: 19.544 - type: precision_at_10 value: 7.277 - type: precision_at_100 value: 1.506 - type: precision_at_1000 value: 0.22399999999999998 - type: precision_at_3 value: 12.834000000000001 - type: precision_at_5 value: 10.488999999999999 - type: recall_at_1 value: 8.464 - type: recall_at_10 value: 27.762999999999998 - type: recall_at_100 value: 53.147999999999996 - type: recall_at_1000 value: 76.183 - type: recall_at_3 value: 15.642 - type: recall_at_5 value: 20.593 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 5.676 - type: map_at_10 value: 11.847000000000001 - type: map_at_100 value: 16.875999999999998 - type: map_at_1000 value: 18.081 - type: map_at_3 value: 8.512 - type: map_at_5 value: 9.956 - type: mrr_at_1 value: 48.0 - type: mrr_at_10 value: 57.928000000000004 - type: mrr_at_100 value: 58.52 - type: mrr_at_1000 value: 58.544 - type: mrr_at_3 value: 55.333 - type: mrr_at_5 value: 56.958 - type: ndcg_at_1 value: 35.875 - type: ndcg_at_10 value: 27.221 - type: ndcg_at_100 value: 31.808999999999997 - type: ndcg_at_1000 value: 39.199 - type: ndcg_at_3 value: 30.274 - type: ndcg_at_5 value: 28.785 - type: precision_at_1 value: 48.0 - type: precision_at_10 value: 23.65 - type: precision_at_100 value: 7.818 - type: precision_at_1000 value: 1.651 - type: precision_at_3 value: 35.833 - type: precision_at_5 value: 31.0 - type: recall_at_1 value: 5.676 - type: recall_at_10 value: 16.619 - type: recall_at_100 value: 39.422000000000004 - type: recall_at_1000 value: 64.095 - type: recall_at_3 value: 9.608 - type: recall_at_5 value: 12.277000000000001 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 49.185 - type: f1 value: 44.87033813298503 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 18.904 - type: map_at_10 value: 28.435 - type: map_at_100 value: 29.498 - type: map_at_1000 value: 29.567 - type: map_at_3 value: 25.319000000000003 - type: map_at_5 value: 27.13 - type: mrr_at_1 value: 20.116999999999997 - type: mrr_at_10 value: 30.112 - type: mrr_at_100 value: 31.155 - type: mrr_at_1000 value: 31.213 - type: mrr_at_3 value: 26.895000000000003 - type: mrr_at_5 value: 28.793000000000003 - type: ndcg_at_1 value: 20.116999999999997 - type: ndcg_at_10 value: 34.244 - type: ndcg_at_100 value: 39.409 - type: ndcg_at_1000 value: 41.195 - type: ndcg_at_3 value: 27.872000000000003 - type: ndcg_at_5 value: 31.128 - type: precision_at_1 value: 20.116999999999997 - type: precision_at_10 value: 5.534 - type: precision_at_100 value: 0.828 - type: precision_at_1000 value: 0.1 - type: precision_at_3 value: 12.076 - type: precision_at_5 value: 8.965 - type: recall_at_1 value: 18.904 - type: recall_at_10 value: 50.858000000000004 - type: recall_at_100 value: 74.42 - type: recall_at_1000 value: 88.023 - type: recall_at_3 value: 33.675 - type: recall_at_5 value: 41.449999999999996 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 8.892 - type: map_at_10 value: 14.363000000000001 - type: map_at_100 value: 15.75 - type: map_at_1000 value: 15.959000000000001 - type: map_at_3 value: 12.25 - type: map_at_5 value: 13.286999999999999 - type: mrr_at_1 value: 16.821 - type: mrr_at_10 value: 23.425 - type: mrr_at_100 value: 24.556 - type: mrr_at_1000 value: 24.637 - type: mrr_at_3 value: 20.885 - type: mrr_at_5 value: 22.127 - type: ndcg_at_1 value: 16.821 - type: ndcg_at_10 value: 19.412 - type: ndcg_at_100 value: 25.836 - type: ndcg_at_1000 value: 30.131000000000004 - type: ndcg_at_3 value: 16.198 - type: ndcg_at_5 value: 17.185 - type: precision_at_1 value: 16.821 - type: precision_at_10 value: 5.556 - type: precision_at_100 value: 1.1820000000000002 - type: precision_at_1000 value: 0.194 - type: precision_at_3 value: 10.545 - type: precision_at_5 value: 8.056000000000001 - type: recall_at_1 value: 8.892 - type: recall_at_10 value: 25.249 - type: recall_at_100 value: 50.263000000000005 - type: recall_at_1000 value: 76.43299999999999 - type: recall_at_3 value: 15.094 - type: recall_at_5 value: 18.673000000000002 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 20.831 - type: map_at_10 value: 29.959999999999997 - type: map_at_100 value: 30.959999999999997 - type: map_at_1000 value: 31.069000000000003 - type: map_at_3 value: 27.453 - type: map_at_5 value: 28.838 - type: mrr_at_1 value: 41.661 - type: mrr_at_10 value: 49.647999999999996 - type: mrr_at_100 value: 50.304 - type: mrr_at_1000 value: 50.352 - type: mrr_at_3 value: 47.403 - type: mrr_at_5 value: 48.657000000000004 - type: ndcg_at_1 value: 41.661 - type: ndcg_at_10 value: 37.854 - type: ndcg_at_100 value: 42.248999999999995 - type: ndcg_at_1000 value: 44.756 - type: ndcg_at_3 value: 33.243 - type: ndcg_at_5 value: 35.467 - type: precision_at_1 value: 41.661 - type: precision_at_10 value: 8.386000000000001 - type: precision_at_100 value: 1.1900000000000002 - type: precision_at_1000 value: 0.152 - type: precision_at_3 value: 21.022 - type: precision_at_5 value: 14.377 - type: recall_at_1 value: 20.831 - type: recall_at_10 value: 41.931000000000004 - type: recall_at_100 value: 59.507 - type: recall_at_1000 value: 76.232 - type: recall_at_3 value: 31.533 - type: recall_at_5 value: 35.942 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 70.2136 - type: ap value: 64.38274263735502 - type: f1 value: 70.02577813394484 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 7.542999999999999 - type: map_at_10 value: 13.229 - type: map_at_100 value: 14.283999999999999 - type: map_at_1000 value: 14.396 - type: map_at_3 value: 11.139000000000001 - type: map_at_5 value: 12.259 - type: mrr_at_1 value: 7.808 - type: mrr_at_10 value: 13.577 - type: mrr_at_100 value: 14.625 - type: mrr_at_1000 value: 14.732000000000001 - type: mrr_at_3 value: 11.464 - type: mrr_at_5 value: 12.584999999999999 - type: ndcg_at_1 value: 7.779 - type: ndcg_at_10 value: 16.793 - type: ndcg_at_100 value: 22.564 - type: ndcg_at_1000 value: 25.799 - type: ndcg_at_3 value: 12.431000000000001 - type: ndcg_at_5 value: 14.442 - type: precision_at_1 value: 7.779 - type: precision_at_10 value: 2.894 - type: precision_at_100 value: 0.59 - type: precision_at_1000 value: 0.087 - type: precision_at_3 value: 5.454 - type: precision_at_5 value: 4.278 - type: recall_at_1 value: 7.542999999999999 - type: recall_at_10 value: 27.907 - type: recall_at_100 value: 56.13399999999999 - type: recall_at_1000 value: 81.877 - type: recall_at_3 value: 15.878999999999998 - type: recall_at_5 value: 20.726 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 91.68490652074783 - type: f1 value: 90.90009716586837 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 61.33150934792522 - type: f1 value: 42.414995407585955 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 66.29455279085406 - type: f1 value: 64.0154454215856 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 73.91055817081372 - type: f1 value: 72.79505573377739 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 30.478611587568 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 27.395691978780366 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 30.75504868917307 - type: mrr value: 31.723412508217553 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 4.739 - type: map_at_10 value: 9.419 - type: map_at_100 value: 12.209 - type: map_at_1000 value: 13.653 - type: map_at_3 value: 7.292999999999999 - type: map_at_5 value: 8.291 - type: mrr_at_1 value: 38.7 - type: mrr_at_10 value: 47.934 - type: mrr_at_100 value: 48.605 - type: mrr_at_1000 value: 48.646 - type: mrr_at_3 value: 45.717 - type: mrr_at_5 value: 47.157 - type: ndcg_at_1 value: 36.842000000000006 - type: ndcg_at_10 value: 28.077 - type: ndcg_at_100 value: 26.83 - type: ndcg_at_1000 value: 36.272 - type: ndcg_at_3 value: 32.429 - type: ndcg_at_5 value: 30.823 - type: precision_at_1 value: 38.7 - type: precision_at_10 value: 20.774 - type: precision_at_100 value: 7.331 - type: precision_at_1000 value: 2.085 - type: precision_at_3 value: 30.341 - type: precision_at_5 value: 26.502 - type: recall_at_1 value: 4.739 - type: recall_at_10 value: 13.065999999999999 - type: recall_at_100 value: 28.875 - type: recall_at_1000 value: 62.751000000000005 - type: recall_at_3 value: 8.338 - type: recall_at_5 value: 10.211 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 10.764 - type: map_at_10 value: 18.582 - type: map_at_100 value: 19.953000000000003 - type: map_at_1000 value: 20.049 - type: map_at_3 value: 15.551 - type: map_at_5 value: 17.143 - type: mrr_at_1 value: 12.283 - type: mrr_at_10 value: 20.507 - type: mrr_at_100 value: 21.724 - type: mrr_at_1000 value: 21.801000000000002 - type: mrr_at_3 value: 17.434 - type: mrr_at_5 value: 19.097 - type: ndcg_at_1 value: 12.254 - type: ndcg_at_10 value: 23.818 - type: ndcg_at_100 value: 30.652 - type: ndcg_at_1000 value: 33.25 - type: ndcg_at_3 value: 17.577 - type: ndcg_at_5 value: 20.43 - type: precision_at_1 value: 12.254 - type: precision_at_10 value: 4.492999999999999 - type: precision_at_100 value: 0.8370000000000001 - type: precision_at_1000 value: 0.109 - type: precision_at_3 value: 8.333 - type: precision_at_5 value: 6.593 - type: recall_at_1 value: 10.764 - type: recall_at_10 value: 38.279999999999994 - type: recall_at_100 value: 69.77600000000001 - type: recall_at_1000 value: 89.75 - type: recall_at_3 value: 21.608 - type: recall_at_5 value: 28.247 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 66.238 - type: map_at_10 value: 79.61 - type: map_at_100 value: 80.339 - type: map_at_1000 value: 80.366 - type: map_at_3 value: 76.572 - type: map_at_5 value: 78.45100000000001 - type: mrr_at_1 value: 76.18 - type: mrr_at_10 value: 83.319 - type: mrr_at_100 value: 83.492 - type: mrr_at_1000 value: 83.49499999999999 - type: mrr_at_3 value: 82.002 - type: mrr_at_5 value: 82.88 - type: ndcg_at_1 value: 76.24 - type: ndcg_at_10 value: 84.048 - type: ndcg_at_100 value: 85.76700000000001 - type: ndcg_at_1000 value: 85.989 - type: ndcg_at_3 value: 80.608 - type: ndcg_at_5 value: 82.45 - type: precision_at_1 value: 76.24 - type: precision_at_10 value: 12.775 - type: precision_at_100 value: 1.498 - type: precision_at_1000 value: 0.156 - type: precision_at_3 value: 35.107 - type: precision_at_5 value: 23.198 - type: recall_at_1 value: 66.238 - type: recall_at_10 value: 92.655 - type: recall_at_100 value: 98.79599999999999 - type: recall_at_1000 value: 99.914 - type: recall_at_3 value: 82.818 - type: recall_at_5 value: 87.985 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 45.96790773164943 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 51.114201492992976 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 3.3029999999999995 - type: map_at_10 value: 8.534 - type: map_at_100 value: 10.269 - type: map_at_1000 value: 10.569 - type: map_at_3 value: 6.02 - type: map_at_5 value: 7.3 - type: mrr_at_1 value: 16.2 - type: mrr_at_10 value: 26.048 - type: mrr_at_100 value: 27.229 - type: mrr_at_1000 value: 27.307 - type: mrr_at_3 value: 22.8 - type: mrr_at_5 value: 24.555 - type: ndcg_at_1 value: 16.2 - type: ndcg_at_10 value: 15.152 - type: ndcg_at_100 value: 22.692999999999998 - type: ndcg_at_1000 value: 28.283 - type: ndcg_at_3 value: 13.831 - type: ndcg_at_5 value: 12.383 - type: precision_at_1 value: 16.2 - type: precision_at_10 value: 8.15 - type: precision_at_100 value: 1.921 - type: precision_at_1000 value: 0.326 - type: precision_at_3 value: 13.167000000000002 - type: precision_at_5 value: 11.200000000000001 - type: recall_at_1 value: 3.3029999999999995 - type: recall_at_10 value: 16.463 - type: recall_at_100 value: 38.968 - type: recall_at_1000 value: 66.208 - type: recall_at_3 value: 8.023 - type: recall_at_5 value: 11.338 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 78.21858054391086 - type: cos_sim_spearman value: 67.3365618536054 - type: euclidean_pearson value: 72.40963340986721 - type: euclidean_spearman value: 67.336666949735 - type: manhattan_pearson value: 72.14690674984998 - type: manhattan_spearman value: 67.32922820760339 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 76.49003508454533 - type: cos_sim_spearman value: 66.84152843358724 - type: euclidean_pearson value: 72.00905568823764 - type: euclidean_spearman value: 66.8427445518875 - type: manhattan_pearson value: 71.33279968302561 - type: manhattan_spearman value: 66.63248621937453 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 78.26330596241046 - type: cos_sim_spearman value: 78.99008985666835 - type: euclidean_pearson value: 78.51141445278363 - type: euclidean_spearman value: 78.99010203692151 - type: manhattan_pearson value: 78.06877144241578 - 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