--- tags: - mteb model-index: - name: model2vec_result_fixed results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 71.7910447761194 - type: ap value: 33.038020188116036 - type: f1 value: 65.03799728338926 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 72.47644999999999 - type: ap value: 66.91002822830875 - type: f1 value: 72.2600863044581 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 36.012 - type: f1 value: 35.38209336470206 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 21.124000000000002 - type: map_at_10 value: 34.329 - type: map_at_100 value: 35.612 - type: map_at_1000 value: 35.647 - type: map_at_3 value: 30.263 - type: map_at_5 value: 32.358 - type: mrr_at_1 value: 21.764 - type: mrr_at_10 value: 34.558 - type: mrr_at_100 value: 35.848 - type: mrr_at_1000 value: 35.882999999999996 - type: mrr_at_3 value: 30.441000000000003 - type: mrr_at_5 value: 32.621 - type: ndcg_at_1 value: 21.124000000000002 - type: ndcg_at_10 value: 41.961 - type: ndcg_at_100 value: 47.746 - type: ndcg_at_1000 value: 48.63 - type: ndcg_at_3 value: 33.469 - type: ndcg_at_5 value: 37.261 - type: precision_at_1 value: 21.124000000000002 - type: precision_at_10 value: 6.643000000000001 - type: precision_at_100 value: 0.9249999999999999 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 14.272000000000002 - type: precision_at_5 value: 10.413 - type: recall_at_1 value: 21.124000000000002 - type: recall_at_10 value: 66.43 - type: recall_at_100 value: 92.461 - type: recall_at_1000 value: 99.289 - type: recall_at_3 value: 42.817 - type: recall_at_5 value: 52.063 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 35.422522812555265 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 25.271555965391595 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 54.11180788298141 - type: mrr value: 68.73587477465594 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 79.11612347924923 - type: cos_sim_spearman value: 75.85775256673794 - type: euclidean_pearson value: 77.46080567383865 - type: euclidean_spearman value: 75.85775256673794 - type: manhattan_pearson value: 77.7319143671074 - type: manhattan_spearman value: 75.98908086034702 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 72.63636363636363 - type: f1 value: 71.69751597573539 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 30.861094091770546 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 20.222365644637257 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 19.939 - type: map_at_10 value: 26.924 - type: map_at_100 value: 28.16 - type: map_at_1000 value: 28.316999999999997 - type: map_at_3 value: 24.45 - type: map_at_5 value: 25.751 - type: mrr_at_1 value: 25.894000000000002 - type: mrr_at_10 value: 32.652 - type: mrr_at_100 value: 33.584 - type: mrr_at_1000 value: 33.664 - type: mrr_at_3 value: 30.520000000000003 - type: mrr_at_5 value: 31.671 - type: ndcg_at_1 value: 25.894000000000002 - type: ndcg_at_10 value: 31.835 - type: ndcg_at_100 value: 37.325 - type: ndcg_at_1000 value: 40.586 - type: ndcg_at_3 value: 28.143 - type: ndcg_at_5 value: 29.648999999999997 - type: precision_at_1 value: 25.894000000000002 - type: precision_at_10 value: 6.194999999999999 - type: precision_at_100 value: 1.126 - type: precision_at_1000 value: 0.173 - type: precision_at_3 value: 13.543 - type: precision_at_5 value: 9.757 - type: recall_at_1 value: 19.939 - type: recall_at_10 value: 40.537 - type: recall_at_100 value: 64.717 - type: recall_at_1000 value: 87.01299999999999 - type: recall_at_3 value: 29.301 - type: recall_at_5 value: 33.918 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 16.601 - type: map_at_10 value: 22.07 - type: map_at_100 value: 22.958000000000002 - type: map_at_1000 value: 23.074 - type: map_at_3 value: 20.137 - type: map_at_5 value: 21.315 - type: mrr_at_1 value: 20.382 - type: mrr_at_10 value: 25.954 - type: mrr_at_100 value: 26.723000000000003 - type: mrr_at_1000 value: 26.791999999999998 - type: mrr_at_3 value: 24.098 - type: mrr_at_5 value: 25.27 - type: ndcg_at_1 value: 20.382 - type: ndcg_at_10 value: 25.734 - type: ndcg_at_100 value: 29.952 - type: ndcg_at_1000 value: 32.618 - type: ndcg_at_3 value: 22.445999999999998 - type: ndcg_at_5 value: 24.162 - type: precision_at_1 value: 20.382 - type: precision_at_10 value: 4.662 - type: precision_at_100 value: 0.8580000000000001 - type: precision_at_1000 value: 0.133 - type: precision_at_3 value: 10.446 - type: precision_at_5 value: 7.682 - type: recall_at_1 value: 16.601 - type: recall_at_10 value: 32.882 - type: recall_at_100 value: 51.273 - type: recall_at_1000 value: 69.33200000000001 - type: recall_at_3 value: 23.54 - type: recall_at_5 value: 28.054000000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 25.386999999999997 - type: map_at_10 value: 34.183 - type: map_at_100 value: 35.198 - type: map_at_1000 value: 35.292 - type: map_at_3 value: 31.466 - type: map_at_5 value: 33.037 - type: mrr_at_1 value: 29.404000000000003 - type: mrr_at_10 value: 37.519000000000005 - type: mrr_at_100 value: 38.305 - type: mrr_at_1000 value: 38.365 - type: mrr_at_3 value: 35.152 - type: mrr_at_5 value: 36.531000000000006 - type: ndcg_at_1 value: 29.404000000000003 - type: ndcg_at_10 value: 39.235 - type: ndcg_at_100 value: 44.072 - type: ndcg_at_1000 value: 46.272999999999996 - type: ndcg_at_3 value: 34.292 - type: ndcg_at_5 value: 36.735 - type: precision_at_1 value: 29.404000000000003 - type: precision_at_10 value: 6.539000000000001 - type: precision_at_100 value: 0.984 - type: precision_at_1000 value: 0.125 - type: precision_at_3 value: 15.423 - type: precision_at_5 value: 10.984 - type: recall_at_1 value: 25.386999999999997 - type: recall_at_10 value: 51.256 - type: recall_at_100 value: 73.53699999999999 - type: recall_at_1000 value: 89.522 - type: recall_at_3 value: 37.830999999999996 - type: recall_at_5 value: 43.811 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 10.832 - type: map_at_10 value: 16.154 - type: map_at_100 value: 16.863 - type: map_at_1000 value: 16.979 - type: map_at_3 value: 14.654 - type: map_at_5 value: 15.634 - type: mrr_at_1 value: 11.751000000000001 - type: mrr_at_10 value: 17.286 - type: mrr_at_100 value: 18.019 - type: mrr_at_1000 value: 18.122 - type: mrr_at_3 value: 15.706000000000001 - type: mrr_at_5 value: 16.774 - type: ndcg_at_1 value: 11.751000000000001 - type: ndcg_at_10 value: 19.197 - type: ndcg_at_100 value: 23.159 - type: ndcg_at_1000 value: 26.453 - type: ndcg_at_3 value: 16.186 - type: ndcg_at_5 value: 17.936 - type: precision_at_1 value: 11.751000000000001 - type: precision_at_10 value: 3.1189999999999998 - type: precision_at_100 value: 0.54 - type: precision_at_1000 value: 0.086 - type: precision_at_3 value: 7.194000000000001 - type: precision_at_5 value: 5.311 - type: recall_at_1 value: 10.832 - type: recall_at_10 value: 27.472 - type: recall_at_100 value: 46.471000000000004 - type: recall_at_1000 value: 71.91199999999999 - type: recall_at_3 value: 19.417 - type: recall_at_5 value: 23.577 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 6.019 - type: map_at_10 value: 9.584 - type: map_at_100 value: 10.433 - type: map_at_1000 value: 10.562000000000001 - type: map_at_3 value: 8.351 - type: map_at_5 value: 9.005 - type: mrr_at_1 value: 7.2139999999999995 - type: mrr_at_10 value: 11.62 - type: mrr_at_100 value: 12.469 - type: mrr_at_1000 value: 12.577 - type: mrr_at_3 value: 10.158000000000001 - type: mrr_at_5 value: 10.898 - type: ndcg_at_1 value: 7.2139999999999995 - type: ndcg_at_10 value: 12.145 - type: ndcg_at_100 value: 16.672 - type: ndcg_at_1000 value: 20.342 - type: ndcg_at_3 value: 9.607000000000001 - type: ndcg_at_5 value: 10.712000000000002 - type: precision_at_1 value: 7.2139999999999995 - type: precision_at_10 value: 2.338 - type: precision_at_100 value: 0.5459999999999999 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 4.726 - type: precision_at_5 value: 3.5319999999999996 - type: recall_at_1 value: 6.019 - type: recall_at_10 value: 18.102999999999998 - type: recall_at_100 value: 38.482 - type: recall_at_1000 value: 65.436 - type: recall_at_3 value: 11.178 - type: recall_at_5 value: 13.877 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 16.822 - type: map_at_10 value: 22.476 - type: map_at_100 value: 23.69 - type: map_at_1000 value: 23.827 - type: map_at_3 value: 20.441000000000003 - type: map_at_5 value: 21.512 - type: mrr_at_1 value: 20.788999999999998 - type: mrr_at_10 value: 26.674 - type: mrr_at_100 value: 27.675 - type: mrr_at_1000 value: 27.753 - type: mrr_at_3 value: 24.495 - type: mrr_at_5 value: 25.629999999999995 - type: ndcg_at_1 value: 20.788999999999998 - type: ndcg_at_10 value: 26.667999999999996 - type: ndcg_at_100 value: 32.565 - type: ndcg_at_1000 value: 35.634 - type: ndcg_at_3 value: 22.942 - type: ndcg_at_5 value: 24.514 - type: precision_at_1 value: 20.788999999999998 - type: precision_at_10 value: 4.947 - type: precision_at_100 value: 0.96 - type: precision_at_1000 value: 0.14100000000000001 - type: precision_at_3 value: 10.748000000000001 - type: precision_at_5 value: 7.68 - type: recall_at_1 value: 16.822 - type: recall_at_10 value: 35.237 - type: recall_at_100 value: 61.219 - type: recall_at_1000 value: 82.499 - type: recall_at_3 value: 24.524 - type: recall_at_5 value: 28.787000000000003 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 12.416 - type: map_at_10 value: 17.684 - type: map_at_100 value: 18.851000000000003 - type: map_at_1000 value: 18.991 - type: map_at_3 value: 15.770999999999999 - type: map_at_5 value: 16.606 - type: mrr_at_1 value: 15.068000000000001 - type: mrr_at_10 value: 21.288 - type: mrr_at_100 value: 22.306 - type: mrr_at_1000 value: 22.396 - type: mrr_at_3 value: 19.273 - type: mrr_at_5 value: 20.398 - type: ndcg_at_1 value: 15.068000000000001 - type: ndcg_at_10 value: 21.66 - type: ndcg_at_100 value: 27.245 - type: ndcg_at_1000 value: 30.591 - type: ndcg_at_3 value: 17.968999999999998 - type: ndcg_at_5 value: 19.352 - type: precision_at_1 value: 15.068000000000001 - type: precision_at_10 value: 4.326 - type: precision_at_100 value: 0.855 - type: precision_at_1000 value: 0.132 - type: precision_at_3 value: 8.713999999999999 - type: precision_at_5 value: 6.3469999999999995 - type: recall_at_1 value: 12.416 - type: recall_at_10 value: 30.008000000000003 - type: recall_at_100 value: 54.498999999999995 - type: recall_at_1000 value: 78.32000000000001 - type: recall_at_3 value: 19.79 - type: recall_at_5 value: 23.376 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 13.36133333333333 - type: map_at_10 value: 18.6895 - type: map_at_100 value: 19.62275 - type: map_at_1000 value: 19.748833333333334 - type: map_at_3 value: 16.8815 - type: map_at_5 value: 17.84133333333334 - type: mrr_at_1 value: 16.093083333333336 - type: mrr_at_10 value: 21.63225 - type: mrr_at_100 value: 22.477333333333334 - type: mrr_at_1000 value: 22.563166666666664 - type: mrr_at_3 value: 19.83 - type: mrr_at_5 value: 20.799166666666668 - type: ndcg_at_1 value: 16.093083333333336 - type: ndcg_at_10 value: 22.30233333333333 - type: ndcg_at_100 value: 27.000333333333337 - type: ndcg_at_1000 value: 30.14883333333333 - type: ndcg_at_3 value: 18.966499999999996 - type: ndcg_at_5 value: 20.425916666666666 - type: precision_at_1 value: 16.093083333333336 - type: precision_at_10 value: 4.062916666666667 - type: precision_at_100 value: 0.7655833333333333 - type: precision_at_1000 value: 0.12208333333333334 - type: precision_at_3 value: 8.848666666666666 - type: precision_at_5 value: 6.400833333333333 - type: recall_at_1 value: 13.36133333333333 - type: recall_at_10 value: 30.32383333333334 - type: recall_at_100 value: 51.808 - type: recall_at_1000 value: 74.64483333333332 - type: recall_at_3 value: 20.884249999999994 - type: recall_at_5 value: 24.67641666666667 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 9.722999999999999 - type: map_at_10 value: 14.280999999999999 - type: map_at_100 value: 15.065000000000001 - type: map_at_1000 value: 15.154 - type: map_at_3 value: 13.004 - type: map_at_5 value: 13.626 - type: mrr_at_1 value: 11.81 - type: mrr_at_10 value: 16.384 - type: mrr_at_100 value: 17.189 - type: mrr_at_1000 value: 17.269000000000002 - type: mrr_at_3 value: 15.082 - type: mrr_at_5 value: 15.711 - type: ndcg_at_1 value: 11.81 - type: ndcg_at_10 value: 17.253 - type: ndcg_at_100 value: 21.404 - type: ndcg_at_1000 value: 24.09 - type: ndcg_at_3 value: 14.716999999999999 - type: ndcg_at_5 value: 15.706000000000001 - type: precision_at_1 value: 11.81 - type: precision_at_10 value: 2.9749999999999996 - type: precision_at_100 value: 0.543 - type: precision_at_1000 value: 0.084 - type: precision_at_3 value: 6.902 - type: precision_at_5 value: 4.816 - type: recall_at_1 value: 9.722999999999999 - type: recall_at_10 value: 24.569 - type: recall_at_100 value: 43.997 - type: recall_at_1000 value: 64.44 - type: recall_at_3 value: 17.134 - type: recall_at_5 value: 19.72 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 7.497 - type: map_at_10 value: 10.846 - type: map_at_100 value: 11.498999999999999 - type: map_at_1000 value: 11.618 - type: map_at_3 value: 9.658999999999999 - type: map_at_5 value: 10.298 - type: mrr_at_1 value: 9.119 - type: mrr_at_10 value: 12.992999999999999 - type: mrr_at_100 value: 13.700999999999999 - type: mrr_at_1000 value: 13.797999999999998 - type: mrr_at_3 value: 11.666 - type: mrr_at_5 value: 12.362 - type: ndcg_at_1 value: 9.119 - type: ndcg_at_10 value: 13.308 - type: ndcg_at_100 value: 16.98 - type: ndcg_at_1000 value: 20.488 - type: ndcg_at_3 value: 10.982 - type: ndcg_at_5 value: 12.003 - type: precision_at_1 value: 9.119 - type: precision_at_10 value: 2.4979999999999998 - type: precision_at_100 value: 0.519 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 5.288 - type: precision_at_5 value: 3.8890000000000002 - type: recall_at_1 value: 7.497 - type: recall_at_10 value: 18.817999999999998 - type: recall_at_100 value: 35.893 - type: recall_at_1000 value: 61.966 - type: recall_at_3 value: 12.199 - type: recall_at_5 value: 14.87 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 11.856 - type: map_at_10 value: 16.685 - type: map_at_100 value: 17.433 - type: map_at_1000 value: 17.558 - type: map_at_3 value: 15.021 - type: map_at_5 value: 15.931999999999999 - type: mrr_at_1 value: 14.179 - type: mrr_at_10 value: 19.398 - type: mrr_at_100 value: 20.153 - type: mrr_at_1000 value: 20.251 - type: mrr_at_3 value: 17.631 - type: mrr_at_5 value: 18.517 - type: ndcg_at_1 value: 14.179 - type: ndcg_at_10 value: 20.061999999999998 - type: ndcg_at_100 value: 24.149 - type: ndcg_at_1000 value: 27.644999999999996 - type: ndcg_at_3 value: 16.794 - type: ndcg_at_5 value: 18.224 - type: precision_at_1 value: 14.179 - type: precision_at_10 value: 3.582 - type: precision_at_100 value: 0.623 - type: precision_at_1000 value: 0.105 - type: precision_at_3 value: 7.774 - type: precision_at_5 value: 5.5969999999999995 - type: recall_at_1 value: 11.856 - type: recall_at_10 value: 27.778999999999996 - type: recall_at_100 value: 46.733000000000004 - type: recall_at_1000 value: 72.481 - type: recall_at_3 value: 18.859 - type: recall_at_5 value: 22.435 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 13.164000000000001 - type: map_at_10 value: 19.317999999999998 - type: map_at_100 value: 20.463 - type: map_at_1000 value: 20.646 - type: map_at_3 value: 17.126 - type: map_at_5 value: 18.056 - type: mrr_at_1 value: 16.601 - type: mrr_at_10 value: 22.62 - type: mrr_at_100 value: 23.601 - type: mrr_at_1000 value: 23.676 - type: mrr_at_3 value: 20.685000000000002 - type: mrr_at_5 value: 21.465999999999998 - type: ndcg_at_1 value: 16.601 - type: ndcg_at_10 value: 23.735999999999997 - type: ndcg_at_100 value: 29.047 - type: ndcg_at_1000 value: 32.323 - type: ndcg_at_3 value: 20.013 - type: ndcg_at_5 value: 21.165 - type: precision_at_1 value: 16.601 - type: precision_at_10 value: 4.7829999999999995 - type: precision_at_100 value: 1.077 - type: precision_at_1000 value: 0.197 - type: precision_at_3 value: 9.881 - type: precision_at_5 value: 7.074999999999999 - type: recall_at_1 value: 13.164000000000001 - type: recall_at_10 value: 33.041 - type: recall_at_100 value: 57.907 - type: recall_at_1000 value: 79.887 - type: recall_at_3 value: 21.397 - type: recall_at_5 value: 24.863 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 10.08 - type: map_at_10 value: 14.069 - type: map_at_100 value: 14.860000000000001 - type: map_at_1000 value: 14.968 - type: map_at_3 value: 12.498 - type: map_at_5 value: 13.324 - type: mrr_at_1 value: 10.906 - type: mrr_at_10 value: 15.198999999999998 - type: mrr_at_100 value: 16.003 - type: mrr_at_1000 value: 16.095000000000002 - type: mrr_at_3 value: 13.494 - type: mrr_at_5 value: 14.362 - type: ndcg_at_1 value: 10.906 - type: ndcg_at_10 value: 16.794999999999998 - type: ndcg_at_100 value: 21.434 - type: ndcg_at_1000 value: 24.743000000000002 - type: ndcg_at_3 value: 13.507 - type: ndcg_at_5 value: 14.953 - type: precision_at_1 value: 10.906 - type: precision_at_10 value: 2.791 - type: precision_at_100 value: 0.5559999999999999 - type: precision_at_1000 value: 0.091 - type: precision_at_3 value: 5.545 - type: precision_at_5 value: 4.14 - type: recall_at_1 value: 10.08 - type: recall_at_10 value: 24.184 - type: recall_at_100 value: 46.967999999999996 - type: recall_at_1000 value: 72.92999999999999 - type: recall_at_3 value: 15.440999999999999 - type: recall_at_5 value: 18.829 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 6.537 - type: map_at_10 value: 11.465 - type: map_at_100 value: 12.851 - type: map_at_1000 value: 13.045000000000002 - type: map_at_3 value: 9.369 - type: map_at_5 value: 10.331 - type: mrr_at_1 value: 15.244 - type: mrr_at_10 value: 23.593 - type: mrr_at_100 value: 24.772 - type: mrr_at_1000 value: 24.839 - type: mrr_at_3 value: 20.467 - type: mrr_at_5 value: 22.027 - type: ndcg_at_1 value: 15.244 - type: ndcg_at_10 value: 17.288999999999998 - type: ndcg_at_100 value: 23.757 - type: ndcg_at_1000 value: 27.725 - type: ndcg_at_3 value: 13.245000000000001 - type: ndcg_at_5 value: 14.485000000000001 - type: precision_at_1 value: 15.244 - type: precision_at_10 value: 5.733 - type: precision_at_100 value: 1.264 - type: precision_at_1000 value: 0.199 - type: precision_at_3 value: 10.054 - type: precision_at_5 value: 7.9350000000000005 - type: recall_at_1 value: 6.537 - type: recall_at_10 value: 22.046 - type: recall_at_100 value: 44.818000000000005 - type: recall_at_1000 value: 67.676 - type: recall_at_3 value: 12.232 - type: recall_at_5 value: 15.540999999999999 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 4.304 - type: map_at_10 value: 9.944 - type: map_at_100 value: 14.113000000000001 - type: map_at_1000 value: 15.085 - type: map_at_3 value: 7.228999999999999 - type: map_at_5 value: 8.368 - type: mrr_at_1 value: 43.0 - type: mrr_at_10 value: 53.303999999999995 - type: mrr_at_100 value: 53.979 - type: mrr_at_1000 value: 54.005 - type: mrr_at_3 value: 50.542 - type: mrr_at_5 value: 52.154 - type: ndcg_at_1 value: 31.5 - type: ndcg_at_10 value: 24.235 - type: ndcg_at_100 value: 28.01 - type: ndcg_at_1000 value: 34.724 - type: ndcg_at_3 value: 26.682 - type: ndcg_at_5 value: 25.249 - type: precision_at_1 value: 43.0 - type: precision_at_10 value: 21.65 - type: precision_at_100 value: 6.97 - type: precision_at_1000 value: 1.4449999999999998 - type: precision_at_3 value: 32.25 - type: precision_at_5 value: 27.250000000000004 - type: recall_at_1 value: 4.304 - type: recall_at_10 value: 15.014 - type: recall_at_100 value: 35.115 - type: recall_at_1000 value: 58.52 - type: recall_at_3 value: 8.698 - type: recall_at_5 value: 11.052 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 45.09 - type: f1 value: 41.3731018097549 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 16.349 - type: map_at_10 value: 24.917 - type: map_at_100 value: 26.003 - type: map_at_1000 value: 26.072 - type: map_at_3 value: 22.067999999999998 - type: map_at_5 value: 23.610999999999997 - type: mrr_at_1 value: 17.416999999999998 - type: mrr_at_10 value: 26.44 - type: mrr_at_100 value: 27.509 - type: mrr_at_1000 value: 27.57 - type: mrr_at_3 value: 23.422 - type: mrr_at_5 value: 25.063999999999997 - type: ndcg_at_1 value: 17.416999999999998 - type: ndcg_at_10 value: 30.267 - type: ndcg_at_100 value: 35.650999999999996 - type: ndcg_at_1000 value: 37.57 - type: ndcg_at_3 value: 24.303 - type: ndcg_at_5 value: 27.099 - type: precision_at_1 value: 17.416999999999998 - type: precision_at_10 value: 4.9590000000000005 - type: precision_at_100 value: 0.7799999999999999 - type: precision_at_1000 value: 0.096 - type: precision_at_3 value: 10.536 - type: precision_at_5 value: 7.807 - type: recall_at_1 value: 16.349 - type: recall_at_10 value: 45.678999999999995 - type: recall_at_100 value: 70.541 - type: recall_at_1000 value: 85.36500000000001 - type: recall_at_3 value: 29.42 - type: recall_at_5 value: 36.112 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 7.478999999999999 - type: map_at_10 value: 11.933 - type: map_at_100 value: 13.078000000000001 - type: map_at_1000 value: 13.267999999999999 - type: map_at_3 value: 9.975000000000001 - type: map_at_5 value: 10.928 - type: mrr_at_1 value: 14.66 - type: mrr_at_10 value: 20.737 - type: mrr_at_100 value: 21.719 - type: mrr_at_1000 value: 21.809 - type: mrr_at_3 value: 18.57 - type: mrr_at_5 value: 19.558 - type: ndcg_at_1 value: 14.66 - type: ndcg_at_10 value: 16.619 - type: ndcg_at_100 value: 22.467000000000002 - type: ndcg_at_1000 value: 26.745 - type: ndcg_at_3 value: 13.547 - type: ndcg_at_5 value: 14.466999999999999 - type: precision_at_1 value: 14.66 - type: precision_at_10 value: 4.8149999999999995 - type: precision_at_100 value: 1.0619999999999998 - type: precision_at_1000 value: 0.182 - type: precision_at_3 value: 9.002 - type: precision_at_5 value: 6.79 - type: recall_at_1 value: 7.478999999999999 - type: recall_at_10 value: 21.884 - type: recall_at_100 value: 45.545 - type: recall_at_1000 value: 71.887 - type: recall_at_3 value: 12.485 - type: recall_at_5 value: 15.862000000000002 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 20.628 - type: map_at_10 value: 28.559 - type: map_at_100 value: 29.5 - type: map_at_1000 value: 29.601 - type: map_at_3 value: 26.429000000000002 - type: map_at_5 value: 27.589000000000002 - type: mrr_at_1 value: 41.256 - type: mrr_at_10 value: 48.842999999999996 - type: mrr_at_100 value: 49.523 - type: mrr_at_1000 value: 49.57 - type: mrr_at_3 value: 46.894000000000005 - type: mrr_at_5 value: 48.024 - type: ndcg_at_1 value: 41.256 - type: ndcg_at_10 value: 36.217 - type: ndcg_at_100 value: 40.422000000000004 - type: ndcg_at_1000 value: 42.762 - type: ndcg_at_3 value: 32.275999999999996 - type: ndcg_at_5 value: 34.184 - type: precision_at_1 value: 41.256 - type: precision_at_10 value: 7.838000000000001 - type: precision_at_100 value: 1.119 - type: precision_at_1000 value: 0.14300000000000002 - type: precision_at_3 value: 20.207 - type: precision_at_5 value: 13.636999999999999 - type: recall_at_1 value: 20.628 - type: recall_at_10 value: 39.190000000000005 - type: recall_at_100 value: 55.962 - type: recall_at_1000 value: 71.56700000000001 - type: recall_at_3 value: 30.311 - type: recall_at_5 value: 34.092 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 70.78 - type: ap value: 65.09281598781793 - type: f1 value: 70.56498155979408 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 7.149 - type: map_at_10 value: 12.494 - type: map_at_100 value: 13.438 - type: map_at_1000 value: 13.544 - type: map_at_3 value: 10.58 - type: map_at_5 value: 11.623 - type: mrr_at_1 value: 7.364 - type: mrr_at_10 value: 12.817 - type: mrr_at_100 value: 13.758000000000001 - type: mrr_at_1000 value: 13.861 - type: mrr_at_3 value: 10.879 - type: mrr_at_5 value: 11.942 - type: ndcg_at_1 value: 7.364 - type: ndcg_at_10 value: 15.787999999999998 - type: ndcg_at_100 value: 20.973 - type: ndcg_at_1000 value: 24.156 - type: ndcg_at_3 value: 11.782 - type: ndcg_at_5 value: 13.675 - type: precision_at_1 value: 7.364 - type: precision_at_10 value: 2.702 - type: precision_at_100 value: 0.539 - type: precision_at_1000 value: 0.08099999999999999 - type: precision_at_3 value: 5.148 - type: precision_at_5 value: 4.043 - type: recall_at_1 value: 7.149 - type: recall_at_10 value: 26.039 - type: recall_at_100 value: 51.405 - type: recall_at_1000 value: 76.97500000000001 - type: recall_at_3 value: 14.979000000000001 - type: recall_at_5 value: 19.553 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 88.95576835385319 - type: f1 value: 88.06364678376042 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 56.99726402188783 - type: f1 value: 38.19916053247397 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 63.79287155346336 - type: f1 value: 61.634629394462934 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 70.30934767989241 - type: f1 value: 68.77914761769519 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 27.617349409076375 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 23.802943866708315 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 29.431263837648547 - type: mrr value: 30.205900793315156 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 3.479 - type: map_at_10 value: 7.603 - type: map_at_100 value: 9.725999999999999 - type: map_at_1000 value: 10.84 - type: map_at_3 value: 5.844 - type: map_at_5 value: 6.732 - type: mrr_at_1 value: 33.745999999999995 - type: mrr_at_10 value: 43.516 - type: mrr_at_100 value: 44.190000000000005 - type: mrr_at_1000 value: 44.248 - type: mrr_at_3 value: 41.744 - type: mrr_at_5 value: 42.828 - type: ndcg_at_1 value: 31.424000000000003 - type: ndcg_at_10 value: 24.267 - type: ndcg_at_100 value: 22.416 - type: ndcg_at_1000 value: 31.165 - type: ndcg_at_3 value: 28.349999999999998 - type: ndcg_at_5 value: 26.596999999999998 - type: precision_at_1 value: 33.745999999999995 - type: precision_at_10 value: 18.173000000000002 - type: precision_at_100 value: 6.142 - type: precision_at_1000 value: 1.856 - type: precision_at_3 value: 27.141 - type: precision_at_5 value: 22.91 - type: recall_at_1 value: 3.479 - type: recall_at_10 value: 10.838000000000001 - type: recall_at_100 value: 23.817 - type: recall_at_1000 value: 54.910000000000004 - type: recall_at_3 value: 7.236 - type: recall_at_5 value: 9.003 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 8.413 - type: map_at_10 value: 15.137 - type: map_at_100 value: 16.393 - type: map_at_1000 value: 16.492 - type: map_at_3 value: 12.584999999999999 - type: map_at_5 value: 13.963000000000001 - type: mrr_at_1 value: 9.762 - type: mrr_at_10 value: 16.813 - type: mrr_at_100 value: 17.98 - type: mrr_at_1000 value: 18.064 - type: mrr_at_3 value: 14.257 - type: mrr_at_5 value: 15.651000000000002 - type: ndcg_at_1 value: 9.733 - type: ndcg_at_10 value: 19.543 - type: ndcg_at_100 value: 25.965 - type: ndcg_at_1000 value: 28.663 - type: ndcg_at_3 value: 14.308000000000002 - type: ndcg_at_5 value: 16.771 - type: precision_at_1 value: 9.733 - type: precision_at_10 value: 3.7249999999999996 - type: precision_at_100 value: 0.739 - type: precision_at_1000 value: 0.1 - type: precision_at_3 value: 6.856 - type: precision_at_5 value: 5.475 - type: recall_at_1 value: 8.413 - type: recall_at_10 value: 31.668000000000003 - type: recall_at_100 value: 61.551 - type: recall_at_1000 value: 82.228 - type: recall_at_3 value: 17.669 - type: recall_at_5 value: 23.488999999999997 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 63.522 - type: map_at_10 value: 76.068 - type: map_at_100 value: 76.858 - type: map_at_1000 value: 76.89099999999999 - type: map_at_3 value: 73.07000000000001 - type: map_at_5 value: 74.883 - type: mrr_at_1 value: 73.11 - type: mrr_at_10 value: 80.134 - type: mrr_at_100 value: 80.403 - type: mrr_at_1000 value: 80.411 - type: mrr_at_3 value: 78.728 - type: mrr_at_5 value: 79.60000000000001 - type: ndcg_at_1 value: 73.1 - type: ndcg_at_10 value: 80.595 - type: ndcg_at_100 value: 82.749 - type: ndcg_at_1000 value: 83.14099999999999 - type: ndcg_at_3 value: 77.021 - type: ndcg_at_5 value: 78.846 - type: precision_at_1 value: 73.1 - type: precision_at_10 value: 12.206999999999999 - type: precision_at_100 value: 1.459 - type: precision_at_1000 value: 0.155 - type: precision_at_3 value: 33.36 - type: precision_at_5 value: 22.09 - type: recall_at_1 value: 63.522 - type: recall_at_10 value: 89.32600000000001 - type: recall_at_100 value: 97.35000000000001 - type: recall_at_1000 value: 99.613 - type: recall_at_3 value: 79.074 - type: recall_at_5 value: 84.143 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 39.546512756347916 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 47.07923662495948 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 3.053 - type: map_at_10 value: 6.912999999999999 - type: map_at_100 value: 8.261000000000001 - type: map_at_1000 value: 8.530999999999999 - type: map_at_3 value: 5.094 - type: map_at_5 value: 5.997 - type: mrr_at_1 value: 15.0 - type: mrr_at_10 value: 22.795 - type: mrr_at_100 value: 24.008 - type: mrr_at_1000 value: 24.099999999999998 - type: mrr_at_3 value: 20.1 - type: mrr_at_5 value: 21.685 - type: ndcg_at_1 value: 15.0 - type: ndcg_at_10 value: 12.386999999999999 - type: ndcg_at_100 value: 18.533 - type: ndcg_at_1000 value: 23.955000000000002 - type: ndcg_at_3 value: 11.75 - type: ndcg_at_5 value: 10.285 - type: precision_at_1 value: 15.0 - type: precision_at_10 value: 6.36 - type: precision_at_100 value: 1.528 - type: precision_at_1000 value: 0.28300000000000003 - type: precision_at_3 value: 10.767 - type: precision_at_5 value: 8.9 - type: recall_at_1 value: 3.053 - type: recall_at_10 value: 12.873000000000001 - type: recall_at_100 value: 30.982 - type: recall_at_1000 value: 57.489999999999995 - type: recall_at_3 value: 6.553000000000001 - type: recall_at_5 value: 9.013 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 75.6733681207629 - type: cos_sim_spearman value: 64.67529822790183 - type: euclidean_pearson value: 69.13481548437119 - type: euclidean_spearman value: 64.67521597440148 - type: manhattan_pearson value: 69.01619022585454 - type: manhattan_spearman value: 64.8728374071917 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 72.06681953798454 - type: cos_sim_spearman value: 62.247506425866405 - type: euclidean_pearson value: 68.05816014766324 - type: euclidean_spearman value: 62.24902354181767 - type: manhattan_pearson value: 66.68543187933726 - type: manhattan_spearman value: 61.438544148098664 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 76.53983672284885 - type: cos_sim_spearman value: 77.2760080817994 - type: euclidean_pearson value: 76.7796065728204 - 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task: type: STS dataset: type: None name: MTEB STS16 config: default split: test revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 metrics: - type: cos_sim_pearson value: 75.64452384480809 - type: cos_sim_spearman value: 76.26343905510407 - type: euclidean_pearson value: 75.64112078051633 - type: euclidean_spearman value: 76.26343823222666 - type: manhattan_pearson value: 75.32718790811802 - type: manhattan_spearman value: 75.9420892784719 - task: type: STS dataset: type: None name: MTEB STS17 (en-en) config: en-en split: test revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d metrics: - type: cos_sim_pearson value: 84.67406953406964 - type: cos_sim_spearman value: 85.96709815630739 - type: euclidean_pearson value: 84.71863724469544 - type: euclidean_spearman value: 85.96709815630739 - type: manhattan_pearson value: 85.07894738833434 - type: manhattan_spearman value: 86.57110045700985 - task: type: STS dataset: type: None name: MTEB STS22 (en) config: en split: test revision: eea2b4fe26a775864c896887d910b76a8098ad3f metrics: - 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