--- tags: - mteb model-index: - name: nomic_classification_prompt results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 71.86567164179104 - type: ap value: 34.245594561996064 - type: f1 value: 65.69023935040455 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 65.190925 - type: ap value: 60.21626939955754 - type: f1 value: 64.943414550771 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 34.529999999999994 - type: f1 value: 34.01639094527221 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 21.55 - type: map_at_10 value: 35.416 - type: map_at_100 value: 36.602000000000004 - type: map_at_1000 value: 36.625 - type: map_at_3 value: 30.725 - type: map_at_5 value: 33.35 - type: mrr_at_1 value: 21.906 - type: mrr_at_10 value: 35.553000000000004 - type: mrr_at_100 value: 36.746 - type: mrr_at_1000 value: 36.769 - type: mrr_at_3 value: 30.819999999999997 - type: mrr_at_5 value: 33.495000000000005 - type: ndcg_at_1 value: 21.55 - type: ndcg_at_10 value: 43.527 - type: ndcg_at_100 value: 49.025 - type: ndcg_at_1000 value: 49.586999999999996 - type: ndcg_at_3 value: 33.772000000000006 - type: ndcg_at_5 value: 38.57 - type: precision_at_1 value: 21.55 - type: precision_at_10 value: 6.963 - type: precision_at_100 value: 0.947 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 14.201 - type: precision_at_5 value: 10.882 - type: recall_at_1 value: 21.55 - type: recall_at_10 value: 69.63000000000001 - type: recall_at_100 value: 94.73700000000001 - type: recall_at_1000 value: 99.075 - type: recall_at_3 value: 42.603 - type: recall_at_5 value: 54.410000000000004 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 34.77701037657294 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 24.616534607718528 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 53.582468551652696 - type: mrr value: 68.10425185771446 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 81.96093442776794 - type: cos_sim_spearman value: 79.80362560866212 - type: euclidean_pearson value: 81.2337598243594 - type: euclidean_spearman value: 79.80362560866212 - type: manhattan_pearson value: 80.54695854084805 - type: manhattan_spearman value: 79.70904514032895 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 73.23051948051948 - type: f1 value: 72.48430722973309 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 32.160979697519885 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 23.63609395107967 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 22.972 - type: map_at_10 value: 31.483 - type: map_at_100 value: 32.58 - type: map_at_1000 value: 32.732 - type: map_at_3 value: 28.822 - type: map_at_5 value: 30.412 - type: mrr_at_1 value: 28.754999999999995 - type: mrr_at_10 value: 37.302 - type: mrr_at_100 value: 38.065 - type: mrr_at_1000 value: 38.132 - type: mrr_at_3 value: 35.074 - type: mrr_at_5 value: 36.504999999999995 - type: ndcg_at_1 value: 28.754999999999995 - type: ndcg_at_10 value: 36.9 - type: ndcg_at_100 value: 41.785 - type: ndcg_at_1000 value: 44.861000000000004 - type: ndcg_at_3 value: 33.013999999999996 - type: ndcg_at_5 value: 34.966 - type: precision_at_1 value: 28.754999999999995 - type: precision_at_10 value: 7.053 - type: precision_at_100 value: 1.1860000000000002 - type: precision_at_1000 value: 0.17500000000000002 - type: precision_at_3 value: 16.023 - type: precision_at_5 value: 11.76 - type: recall_at_1 value: 22.972 - type: recall_at_10 value: 46.699 - type: recall_at_100 value: 68.476 - type: recall_at_1000 value: 89.461 - type: recall_at_3 value: 34.792 - type: recall_at_5 value: 40.453 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 18.001 - type: map_at_10 value: 24.213 - type: map_at_100 value: 25.184 - type: map_at_1000 value: 25.301000000000002 - type: map_at_3 value: 22.157 - type: map_at_5 value: 23.357 - type: mrr_at_1 value: 22.93 - type: mrr_at_10 value: 28.843000000000004 - type: mrr_at_100 value: 29.637999999999998 - type: mrr_at_1000 value: 29.706 - type: mrr_at_3 value: 26.868 - type: mrr_at_5 value: 28.021 - type: ndcg_at_1 value: 22.93 - type: ndcg_at_10 value: 28.337 - type: ndcg_at_100 value: 32.696 - type: ndcg_at_1000 value: 35.483 - type: ndcg_at_3 value: 24.909 - type: ndcg_at_5 value: 26.601999999999997 - type: precision_at_1 value: 22.93 - type: precision_at_10 value: 5.255 - type: precision_at_100 value: 0.9199999999999999 - type: precision_at_1000 value: 0.14300000000000002 - type: precision_at_3 value: 11.911 - type: precision_at_5 value: 8.599 - type: recall_at_1 value: 18.001 - type: recall_at_10 value: 36.047000000000004 - type: recall_at_100 value: 55.123999999999995 - type: recall_at_1000 value: 73.919 - type: recall_at_3 value: 26.230999999999998 - type: recall_at_5 value: 30.791 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 27.74 - type: map_at_10 value: 36.899 - type: map_at_100 value: 38.021 - type: map_at_1000 value: 38.115 - type: map_at_3 value: 34.226 - type: map_at_5 value: 35.791000000000004 - type: mrr_at_1 value: 32.038 - type: mrr_at_10 value: 40.196 - type: mrr_at_100 value: 41.099000000000004 - type: mrr_at_1000 value: 41.159 - type: mrr_at_3 value: 37.858000000000004 - type: mrr_at_5 value: 39.262 - type: ndcg_at_1 value: 32.038 - type: ndcg_at_10 value: 41.835 - type: ndcg_at_100 value: 46.957 - type: ndcg_at_1000 value: 49.132 - type: ndcg_at_3 value: 37.03 - type: ndcg_at_5 value: 39.466 - type: precision_at_1 value: 32.038 - type: precision_at_10 value: 6.771000000000001 - type: precision_at_100 value: 1.027 - type: precision_at_1000 value: 0.129 - type: precision_at_3 value: 16.405 - type: precision_at_5 value: 11.549 - type: recall_at_1 value: 27.74 - type: recall_at_10 value: 53.43599999999999 - type: recall_at_100 value: 76.239 - type: recall_at_1000 value: 92.038 - type: recall_at_3 value: 40.625 - type: recall_at_5 value: 46.483000000000004 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 13.71 - type: map_at_10 value: 18.269 - type: map_at_100 value: 19.095000000000002 - type: map_at_1000 value: 19.206 - type: map_at_3 value: 16.667 - type: map_at_5 value: 17.461 - type: mrr_at_1 value: 14.915000000000001 - type: mrr_at_10 value: 19.6 - type: mrr_at_100 value: 20.429 - type: mrr_at_1000 value: 20.527 - type: mrr_at_3 value: 18.041 - type: mrr_at_5 value: 18.826999999999998 - type: ndcg_at_1 value: 14.915000000000001 - type: ndcg_at_10 value: 21.197 - type: ndcg_at_100 value: 25.790999999999997 - type: ndcg_at_1000 value: 29.15 - type: ndcg_at_3 value: 17.947 - type: ndcg_at_5 value: 19.316 - type: precision_at_1 value: 14.915000000000001 - type: precision_at_10 value: 3.277 - type: precision_at_100 value: 0.601 - type: precision_at_1000 value: 0.094 - type: precision_at_3 value: 7.495 - type: precision_at_5 value: 5.266 - type: recall_at_1 value: 13.71 - type: recall_at_10 value: 29.104999999999997 - type: recall_at_100 value: 51.283 - type: recall_at_1000 value: 77.706 - type: recall_at_3 value: 20.217 - type: recall_at_5 value: 23.465 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 7.8759999999999994 - type: map_at_10 value: 11.171000000000001 - type: map_at_100 value: 12.096 - type: map_at_1000 value: 12.224 - type: map_at_3 value: 10.148 - type: map_at_5 value: 10.529 - type: mrr_at_1 value: 10.199 - type: mrr_at_10 value: 13.789000000000001 - type: mrr_at_100 value: 14.789 - type: mrr_at_1000 value: 14.887 - type: mrr_at_3 value: 12.706999999999999 - type: mrr_at_5 value: 13.142999999999999 - type: ndcg_at_1 value: 10.199 - type: ndcg_at_10 value: 13.602 - type: ndcg_at_100 value: 18.54 - type: ndcg_at_1000 value: 22.141 - type: ndcg_at_3 value: 11.569 - type: ndcg_at_5 value: 12.151 - type: precision_at_1 value: 10.199 - type: precision_at_10 value: 2.488 - type: precision_at_100 value: 0.588 - type: precision_at_1000 value: 0.10300000000000001 - type: precision_at_3 value: 5.473 - type: precision_at_5 value: 3.781 - type: recall_at_1 value: 7.8759999999999994 - type: recall_at_10 value: 18.678 - type: recall_at_100 value: 40.818 - type: recall_at_1000 value: 67.49000000000001 - type: recall_at_3 value: 12.841 - type: recall_at_5 value: 14.366999999999999 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 18.293 - type: map_at_10 value: 24.626 - type: map_at_100 value: 25.828 - type: map_at_1000 value: 25.964 - type: map_at_3 value: 22.439 - type: map_at_5 value: 23.541 - type: mrr_at_1 value: 22.81 - type: mrr_at_10 value: 29.213 - type: mrr_at_100 value: 30.188 - type: mrr_at_1000 value: 30.258000000000003 - type: mrr_at_3 value: 26.933 - type: mrr_at_5 value: 28.069 - type: ndcg_at_1 value: 22.81 - type: ndcg_at_10 value: 29.107 - type: ndcg_at_100 value: 34.958 - type: ndcg_at_1000 value: 37.968 - type: ndcg_at_3 value: 25.144 - type: ndcg_at_5 value: 26.769 - type: precision_at_1 value: 22.81 - type: precision_at_10 value: 5.351 - type: precision_at_100 value: 0.9939999999999999 - type: precision_at_1000 value: 0.145 - type: precision_at_3 value: 11.741999999999999 - type: precision_at_5 value: 8.431 - type: recall_at_1 value: 18.293 - type: recall_at_10 value: 38.315 - type: recall_at_100 value: 64.16199999999999 - type: recall_at_1000 value: 84.944 - type: recall_at_3 value: 27.006000000000004 - type: recall_at_5 value: 31.284 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 13.896 - type: map_at_10 value: 19.695999999999998 - type: map_at_100 value: 20.813000000000002 - type: map_at_1000 value: 20.953 - type: map_at_3 value: 17.657 - type: map_at_5 value: 18.752 - type: mrr_at_1 value: 17.122999999999998 - type: mrr_at_10 value: 23.345 - type: mrr_at_100 value: 24.294 - type: mrr_at_1000 value: 24.386 - type: mrr_at_3 value: 21.404 - type: mrr_at_5 value: 22.494 - type: ndcg_at_1 value: 17.122999999999998 - type: ndcg_at_10 value: 23.692 - type: ndcg_at_100 value: 29.012 - type: ndcg_at_1000 value: 32.45 - type: ndcg_at_3 value: 20.002 - type: ndcg_at_5 value: 21.62 - type: precision_at_1 value: 17.122999999999998 - type: precision_at_10 value: 4.543 - type: precision_at_100 value: 0.852 - type: precision_at_1000 value: 0.133 - type: precision_at_3 value: 9.589 - type: precision_at_5 value: 7.1 - type: recall_at_1 value: 13.896 - type: recall_at_10 value: 32.176 - type: recall_at_100 value: 55.382 - type: recall_at_1000 value: 79.725 - type: recall_at_3 value: 21.942 - type: recall_at_5 value: 26.068 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 15.481333333333335 - type: map_at_10 value: 21.042999999999996 - type: map_at_100 value: 22.0115 - type: map_at_1000 value: 22.138250000000003 - type: map_at_3 value: 19.255166666666664 - type: map_at_5 value: 20.23483333333333 - type: mrr_at_1 value: 18.692583333333335 - type: mrr_at_10 value: 24.281 - type: mrr_at_100 value: 25.134249999999998 - type: mrr_at_1000 value: 25.218833333333336 - type: mrr_at_3 value: 22.54816666666667 - type: mrr_at_5 value: 23.507916666666667 - type: ndcg_at_1 value: 18.692583333333335 - type: ndcg_at_10 value: 24.682166666666667 - type: ndcg_at_100 value: 29.43166666666666 - type: ndcg_at_1000 value: 32.59633333333334 - type: ndcg_at_3 value: 21.481749999999998 - type: ndcg_at_5 value: 22.93933333333333 - type: precision_at_1 value: 18.692583333333335 - type: precision_at_10 value: 4.370916666666667 - type: precision_at_100 value: 0.8024999999999999 - type: precision_at_1000 value: 0.12566666666666668 - type: precision_at_3 value: 9.923833333333334 - type: precision_at_5 value: 7.110416666666667 - type: recall_at_1 value: 15.481333333333335 - type: recall_at_10 value: 32.433166666666665 - type: recall_at_100 value: 54.03975 - type: recall_at_1000 value: 77.06675 - type: recall_at_3 value: 23.353916666666663 - type: recall_at_5 value: 27.16183333333334 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 12.656999999999998 - type: map_at_10 value: 16.59 - type: map_at_100 value: 17.372 - type: map_at_1000 value: 17.465 - type: map_at_3 value: 15.075 - type: map_at_5 value: 16.016 - type: mrr_at_1 value: 14.877 - type: mrr_at_10 value: 18.726000000000003 - type: mrr_at_100 value: 19.488 - type: mrr_at_1000 value: 19.569 - type: mrr_at_3 value: 17.127 - type: mrr_at_5 value: 18.108 - type: ndcg_at_1 value: 14.877 - type: ndcg_at_10 value: 19.326 - type: ndcg_at_100 value: 23.426 - type: ndcg_at_1000 value: 26.168999999999997 - type: ndcg_at_3 value: 16.445 - type: ndcg_at_5 value: 18.037 - type: precision_at_1 value: 14.877 - type: precision_at_10 value: 3.206 - type: precision_at_100 value: 0.5740000000000001 - type: precision_at_1000 value: 0.08800000000000001 - type: precision_at_3 value: 7.26 - type: precision_at_5 value: 5.367999999999999 - type: recall_at_1 value: 12.656999999999998 - type: recall_at_10 value: 25.723000000000003 - type: recall_at_100 value: 44.9 - type: recall_at_1000 value: 65.923 - type: recall_at_3 value: 17.854 - type: recall_at_5 value: 21.912000000000003 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 7.997999999999999 - type: map_at_10 value: 11.765 - type: map_at_100 value: 12.453 - type: map_at_1000 value: 12.575 - type: map_at_3 value: 10.721 - type: map_at_5 value: 11.269 - type: mrr_at_1 value: 9.945 - type: mrr_at_10 value: 14.172 - type: mrr_at_100 value: 14.862 - type: mrr_at_1000 value: 14.965 - type: mrr_at_3 value: 13.048000000000002 - type: mrr_at_5 value: 13.638 - type: ndcg_at_1 value: 9.945 - type: ndcg_at_10 value: 14.238000000000001 - type: ndcg_at_100 value: 18.052 - type: ndcg_at_1000 value: 21.633 - type: ndcg_at_3 value: 12.301 - type: ndcg_at_5 value: 13.113 - type: precision_at_1 value: 9.945 - type: precision_at_10 value: 2.636 - type: precision_at_100 value: 0.543 - type: precision_at_1000 value: 0.101 - type: precision_at_3 value: 5.9990000000000006 - type: precision_at_5 value: 4.253 - type: recall_at_1 value: 7.997999999999999 - type: recall_at_10 value: 19.363 - type: recall_at_100 value: 37.203 - type: recall_at_1000 value: 63.9 - type: recall_at_3 value: 13.755999999999998 - type: recall_at_5 value: 15.966 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 14.132 - type: map_at_10 value: 19.032 - type: map_at_100 value: 19.942 - type: map_at_1000 value: 20.061999999999998 - type: map_at_3 value: 17.498 - type: map_at_5 value: 18.352 - type: mrr_at_1 value: 16.698 - type: mrr_at_10 value: 21.898 - type: mrr_at_100 value: 22.775000000000002 - type: mrr_at_1000 value: 22.869999999999997 - type: mrr_at_3 value: 20.196 - type: mrr_at_5 value: 21.143 - type: ndcg_at_1 value: 16.698 - type: ndcg_at_10 value: 22.303 - type: ndcg_at_100 value: 26.889000000000003 - type: ndcg_at_1000 value: 30.249 - type: ndcg_at_3 value: 19.28 - type: ndcg_at_5 value: 20.694000000000003 - type: precision_at_1 value: 16.698 - type: precision_at_10 value: 3.7409999999999997 - type: precision_at_100 value: 0.6649999999999999 - type: precision_at_1000 value: 0.107 - type: precision_at_3 value: 8.706 - type: precision_at_5 value: 6.119 - type: recall_at_1 value: 14.132 - type: recall_at_10 value: 29.572 - type: recall_at_100 value: 50.346999999999994 - type: recall_at_1000 value: 75.214 - type: recall_at_3 value: 21.197 - type: recall_at_5 value: 24.887999999999998 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 16.474 - type: map_at_10 value: 22.362000000000002 - type: map_at_100 value: 23.533 - type: map_at_1000 value: 23.733999999999998 - type: map_at_3 value: 20.529 - type: map_at_5 value: 21.543 - type: mrr_at_1 value: 20.158 - type: mrr_at_10 value: 26.069 - type: mrr_at_100 value: 26.962999999999997 - type: mrr_at_1000 value: 27.049 - type: mrr_at_3 value: 24.44 - type: mrr_at_5 value: 25.3 - type: ndcg_at_1 value: 20.158 - type: ndcg_at_10 value: 26.447 - type: ndcg_at_100 value: 31.405 - type: ndcg_at_1000 value: 34.969 - type: ndcg_at_3 value: 23.639 - type: ndcg_at_5 value: 24.852 - type: precision_at_1 value: 20.158 - type: precision_at_10 value: 5.099 - type: precision_at_100 value: 1.113 - type: precision_at_1000 value: 0.196 - type: precision_at_3 value: 11.397 - type: precision_at_5 value: 8.182 - type: recall_at_1 value: 16.474 - type: recall_at_10 value: 33.812 - type: recall_at_100 value: 56.725 - type: recall_at_1000 value: 81.151 - type: recall_at_3 value: 25.043 - type: recall_at_5 value: 28.564 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 12.027000000000001 - type: map_at_10 value: 16.41 - type: map_at_100 value: 17.221 - type: map_at_1000 value: 17.328 - type: map_at_3 value: 15.123000000000001 - type: map_at_5 value: 15.795 - type: mrr_at_1 value: 13.863 - type: mrr_at_10 value: 18.218999999999998 - type: mrr_at_100 value: 19.021 - type: mrr_at_1000 value: 19.118 - type: mrr_at_3 value: 16.882 - type: mrr_at_5 value: 17.585 - type: ndcg_at_1 value: 13.863 - type: ndcg_at_10 value: 19.201999999999998 - type: ndcg_at_100 value: 23.669 - type: ndcg_at_1000 value: 26.951000000000004 - type: ndcg_at_3 value: 16.500999999999998 - type: ndcg_at_5 value: 17.686 - type: precision_at_1 value: 13.863 - type: precision_at_10 value: 3.031 - type: precision_at_100 value: 0.567 - type: precision_at_1000 value: 0.094 - type: precision_at_3 value: 7.086 - type: precision_at_5 value: 4.917 - type: recall_at_1 value: 12.027000000000001 - type: recall_at_10 value: 26.272000000000002 - type: recall_at_100 value: 47.818 - type: recall_at_1000 value: 73.33 - type: recall_at_3 value: 18.743000000000002 - type: recall_at_5 value: 21.701 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 6.357 - type: map_at_10 value: 11.350999999999999 - type: map_at_100 value: 12.774 - type: map_at_1000 value: 12.962000000000002 - type: map_at_3 value: 9.142 - type: map_at_5 value: 10.219000000000001 - type: mrr_at_1 value: 14.593 - type: mrr_at_10 value: 23.003 - type: mrr_at_100 value: 24.15 - type: mrr_at_1000 value: 24.215999999999998 - type: mrr_at_3 value: 19.924 - type: mrr_at_5 value: 21.628 - type: ndcg_at_1 value: 14.593 - type: ndcg_at_10 value: 17.06 - type: ndcg_at_100 value: 23.674 - type: ndcg_at_1000 value: 27.57 - type: ndcg_at_3 value: 12.903 - type: ndcg_at_5 value: 14.399000000000001 - type: precision_at_1 value: 14.593 - type: precision_at_10 value: 5.6739999999999995 - type: precision_at_100 value: 1.279 - type: precision_at_1000 value: 0.198 - type: precision_at_3 value: 9.794 - type: precision_at_5 value: 7.961 - type: recall_at_1 value: 6.357 - type: recall_at_10 value: 21.837 - type: recall_at_100 value: 45.317 - type: recall_at_1000 value: 67.868 - type: recall_at_3 value: 11.959999999999999 - type: recall_at_5 value: 15.744 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 3.972 - type: map_at_10 value: 9.464 - type: map_at_100 value: 13.014999999999999 - type: map_at_1000 value: 13.956 - type: map_at_3 value: 6.796 - type: map_at_5 value: 7.896 - type: mrr_at_1 value: 40.0 - type: mrr_at_10 value: 49.381 - type: mrr_at_100 value: 50.156 - type: mrr_at_1000 value: 50.17700000000001 - type: mrr_at_3 value: 46.208 - type: mrr_at_5 value: 47.958 - type: ndcg_at_1 value: 29.5 - type: ndcg_at_10 value: 23.438 - type: ndcg_at_100 value: 26.128 - type: ndcg_at_1000 value: 32.922000000000004 - type: ndcg_at_3 value: 26.436999999999998 - type: ndcg_at_5 value: 24.63 - type: precision_at_1 value: 40.0 - type: precision_at_10 value: 20.724999999999998 - type: precision_at_100 value: 6.353000000000001 - type: precision_at_1000 value: 1.329 - type: precision_at_3 value: 31.5 - type: precision_at_5 value: 26.400000000000002 - type: recall_at_1 value: 3.972 - type: recall_at_10 value: 14.173 - type: recall_at_100 value: 32.249 - type: recall_at_1000 value: 54.991 - type: recall_at_3 value: 8.177 - type: recall_at_5 value: 10.415000000000001 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 45.045 - type: f1 value: 41.00531027586712 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 15.373000000000001 - type: map_at_10 value: 23.247999999999998 - type: map_at_100 value: 24.16 - type: map_at_1000 value: 24.233 - type: map_at_3 value: 20.718 - type: map_at_5 value: 22.117 - type: mrr_at_1 value: 16.381999999999998 - type: mrr_at_10 value: 24.654999999999998 - type: mrr_at_100 value: 25.56 - type: mrr_at_1000 value: 25.625999999999998 - type: mrr_at_3 value: 21.987000000000002 - type: mrr_at_5 value: 23.466 - type: ndcg_at_1 value: 16.381999999999998 - type: ndcg_at_10 value: 28.083000000000002 - type: ndcg_at_100 value: 32.939 - type: ndcg_at_1000 value: 35.025 - type: ndcg_at_3 value: 22.830000000000002 - type: ndcg_at_5 value: 25.351000000000003 - type: precision_at_1 value: 16.381999999999998 - type: precision_at_10 value: 4.5600000000000005 - type: precision_at_100 value: 0.722 - type: precision_at_1000 value: 0.092 - type: precision_at_3 value: 9.921000000000001 - type: precision_at_5 value: 7.276000000000001 - type: recall_at_1 value: 15.373000000000001 - type: recall_at_10 value: 41.942 - type: recall_at_100 value: 65.051 - type: recall_at_1000 value: 81.208 - type: recall_at_3 value: 27.639999999999997 - type: recall_at_5 value: 33.708 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 6.894 - type: map_at_10 value: 11.912 - type: map_at_100 value: 13.096 - type: map_at_1000 value: 13.29 - type: map_at_3 value: 9.82 - type: map_at_5 value: 10.999 - type: mrr_at_1 value: 14.352 - type: mrr_at_10 value: 20.811 - type: mrr_at_100 value: 21.908 - type: mrr_at_1000 value: 22.001 - type: mrr_at_3 value: 18.441 - type: mrr_at_5 value: 19.961000000000002 - type: ndcg_at_1 value: 14.352 - type: ndcg_at_10 value: 16.636 - type: ndcg_at_100 value: 22.419 - type: ndcg_at_1000 value: 26.771 - type: ndcg_at_3 value: 13.436 - type: ndcg_at_5 value: 14.908 - type: precision_at_1 value: 14.352 - type: precision_at_10 value: 4.938 - type: precision_at_100 value: 1.076 - type: precision_at_1000 value: 0.18 - type: precision_at_3 value: 9.156 - type: precision_at_5 value: 7.407 - type: recall_at_1 value: 6.894 - type: recall_at_10 value: 21.672 - type: recall_at_100 value: 44.193 - type: recall_at_1000 value: 71.604 - type: recall_at_3 value: 12.498 - type: recall_at_5 value: 16.704 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 18.555 - type: map_at_10 value: 25.963 - type: map_at_100 value: 26.932000000000002 - type: map_at_1000 value: 27.044 - type: map_at_3 value: 23.916 - type: map_at_5 value: 25.112000000000002 - type: mrr_at_1 value: 37.11 - type: mrr_at_10 value: 44.175 - type: mrr_at_100 value: 44.926 - type: mrr_at_1000 value: 44.978 - type: mrr_at_3 value: 42.254999999999995 - type: mrr_at_5 value: 43.427 - type: ndcg_at_1 value: 37.11 - type: ndcg_at_10 value: 32.991 - type: ndcg_at_100 value: 37.335 - type: ndcg_at_1000 value: 40.007 - type: ndcg_at_3 value: 29.206 - type: ndcg_at_5 value: 31.173000000000002 - type: precision_at_1 value: 37.11 - type: precision_at_10 value: 7.207 - type: precision_at_100 value: 1.065 - type: precision_at_1000 value: 0.14200000000000002 - type: precision_at_3 value: 18.375 - type: precision_at_5 value: 12.581000000000001 - type: recall_at_1 value: 18.555 - type: recall_at_10 value: 36.036 - type: recall_at_100 value: 53.248 - type: recall_at_1000 value: 71.128 - type: recall_at_3 value: 27.561999999999998 - type: recall_at_5 value: 31.452 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 64.3004 - type: ap value: 59.425036750361784 - type: f1 value: 64.15840309881166 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 7.042 - type: map_at_10 value: 11.837 - type: map_at_100 value: 12.756 - type: map_at_1000 value: 12.863 - type: map_at_3 value: 10.131 - type: map_at_5 value: 11.05 - type: mrr_at_1 value: 7.2059999999999995 - type: mrr_at_10 value: 12.117 - type: mrr_at_100 value: 13.038 - type: mrr_at_1000 value: 13.141 - type: mrr_at_3 value: 10.392 - type: mrr_at_5 value: 11.323 - type: ndcg_at_1 value: 7.178 - type: ndcg_at_10 value: 14.806 - type: ndcg_at_100 value: 19.81 - type: ndcg_at_1000 value: 23.003999999999998 - type: ndcg_at_3 value: 11.236 - type: ndcg_at_5 value: 12.901000000000002 - type: precision_at_1 value: 7.178 - type: precision_at_10 value: 2.506 - type: precision_at_100 value: 0.51 - type: precision_at_1000 value: 0.079 - type: precision_at_3 value: 4.89 - type: precision_at_5 value: 3.782 - type: recall_at_1 value: 7.042 - type: recall_at_10 value: 24.037 - type: recall_at_100 value: 48.415 - type: recall_at_1000 value: 74.039 - type: recall_at_3 value: 14.194999999999999 - type: recall_at_5 value: 18.209 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 89.67852257181941 - type: f1 value: 88.95204075691726 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 60.597355221158224 - type: f1 value: 41.690585365044186 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 63.056489576328175 - type: f1 value: 60.956720996001664 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 69.88231338264963 - type: f1 value: 68.65445434231955 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 28.530997915529994 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 25.711540056372872 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 29.22788130698314 - type: mrr value: 30.181799152132406 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 3.9730000000000003 - type: map_at_10 value: 8.282 - type: map_at_100 value: 10.331 - type: map_at_1000 value: 11.613 - type: map_at_3 value: 6.106 - type: map_at_5 value: 7.258000000000001 - type: mrr_at_1 value: 35.604 - type: mrr_at_10 value: 44.241 - type: mrr_at_100 value: 45.023 - type: mrr_at_1000 value: 45.079 - type: mrr_at_3 value: 42.002 - type: mrr_at_5 value: 43.751 - type: ndcg_at_1 value: 32.663 - type: ndcg_at_10 value: 25.419999999999998 - type: ndcg_at_100 value: 23.454 - type: ndcg_at_1000 value: 32.726 - type: ndcg_at_3 value: 28.892 - type: ndcg_at_5 value: 27.982000000000003 - type: precision_at_1 value: 35.604 - type: precision_at_10 value: 18.7 - type: precision_at_100 value: 6.353000000000001 - type: precision_at_1000 value: 1.9429999999999998 - type: precision_at_3 value: 27.554000000000002 - type: precision_at_5 value: 24.396 - type: recall_at_1 value: 3.9730000000000003 - type: recall_at_10 value: 12.606 - type: recall_at_100 value: 24.915000000000003 - type: recall_at_1000 value: 57.75900000000001 - type: recall_at_3 value: 7.207 - type: recall_at_5 value: 10.017 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 9.543 - type: map_at_10 value: 16.445999999999998 - type: map_at_100 value: 17.682000000000002 - type: map_at_1000 value: 17.78 - type: map_at_3 value: 13.895 - type: map_at_5 value: 15.282000000000002 - type: mrr_at_1 value: 10.863 - type: mrr_at_10 value: 18.137 - type: mrr_at_100 value: 19.291 - type: mrr_at_1000 value: 19.371 - type: mrr_at_3 value: 15.556000000000001 - type: mrr_at_5 value: 16.98 - type: ndcg_at_1 value: 10.834000000000001 - type: ndcg_at_10 value: 20.96 - type: ndcg_at_100 value: 27.336 - type: ndcg_at_1000 value: 30.001 - type: ndcg_at_3 value: 15.719 - type: ndcg_at_5 value: 18.212999999999997 - type: precision_at_1 value: 10.834000000000001 - type: precision_at_10 value: 3.911 - type: precision_at_100 value: 0.756 - type: precision_at_1000 value: 0.101 - type: precision_at_3 value: 7.455 - type: precision_at_5 value: 5.846 - type: recall_at_1 value: 9.543 - type: recall_at_10 value: 33.35 - type: recall_at_100 value: 63.141999999999996 - type: recall_at_1000 value: 83.57 - type: recall_at_3 value: 19.38 - type: recall_at_5 value: 25.266 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 63.037 - type: map_at_10 value: 75.644 - type: map_at_100 value: 76.417 - type: map_at_1000 value: 76.452 - type: map_at_3 value: 72.71600000000001 - type: map_at_5 value: 74.504 - type: mrr_at_1 value: 72.69 - type: mrr_at_10 value: 80.037 - type: mrr_at_100 value: 80.291 - type: mrr_at_1000 value: 80.296 - type: mrr_at_3 value: 78.615 - type: mrr_at_5 value: 79.54 - type: ndcg_at_1 value: 72.75 - type: ndcg_at_10 value: 80.316 - type: ndcg_at_100 value: 82.48299999999999 - type: ndcg_at_1000 value: 82.876 - type: ndcg_at_3 value: 76.778 - type: ndcg_at_5 value: 78.63900000000001 - type: precision_at_1 value: 72.75 - type: precision_at_10 value: 12.110999999999999 - type: precision_at_100 value: 1.452 - type: precision_at_1000 value: 0.154 - type: precision_at_3 value: 33.243 - type: precision_at_5 value: 21.974 - type: recall_at_1 value: 63.037 - type: recall_at_10 value: 89.183 - type: recall_at_100 value: 97.38799999999999 - type: recall_at_1000 value: 99.591 - type: recall_at_3 value: 79.041 - type: recall_at_5 value: 84.25200000000001 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 37.24530383149719 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 47.10522668186171 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 3.003 - type: map_at_10 value: 7.0169999999999995 - type: map_at_100 value: 8.436 - type: map_at_1000 value: 8.693 - type: map_at_3 value: 5.143 - type: map_at_5 value: 6.165 - type: mrr_at_1 value: 14.7 - type: mrr_at_10 value: 22.664 - type: mrr_at_100 value: 23.880000000000003 - type: mrr_at_1000 value: 23.964 - type: mrr_at_3 value: 19.650000000000002 - type: mrr_at_5 value: 21.295 - type: ndcg_at_1 value: 14.7 - type: ndcg_at_10 value: 12.509999999999998 - type: ndcg_at_100 value: 18.848000000000003 - type: ndcg_at_1000 value: 23.97 - type: ndcg_at_3 value: 11.673 - type: ndcg_at_5 value: 10.397 - type: precision_at_1 value: 14.7 - type: precision_at_10 value: 6.49 - type: precision_at_100 value: 1.562 - type: precision_at_1000 value: 0.27899999999999997 - type: precision_at_3 value: 10.767 - type: precision_at_5 value: 9.139999999999999 - type: recall_at_1 value: 3.003 - type: recall_at_10 value: 13.161999999999999 - type: recall_at_100 value: 31.747999999999998 - type: recall_at_1000 value: 56.752 - type: recall_at_3 value: 6.563 - type: recall_at_5 value: 9.263 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 76.5160077089625 - type: cos_sim_spearman value: 67.28825297023138 - type: euclidean_pearson value: 72.39938443269206 - type: euclidean_spearman value: 67.28835245540397 - type: manhattan_pearson value: 69.46413862678756 - type: manhattan_spearman value: 65.04853993701172 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 74.53773965480292 - type: cos_sim_spearman value: 67.41284745598715 - type: euclidean_pearson value: 70.57848011423972 - type: euclidean_spearman value: 67.4141763023251 - type: manhattan_pearson value: 70.0268534606741 - type: manhattan_spearman value: 67.8439837728854 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 78.2216356861313 - type: cos_sim_spearman value: 79.37038668590753 - type: euclidean_pearson value: 79.01512518225226 - type: euclidean_spearman value: 79.37042448746669 - type: manhattan_pearson value: 78.96268955680836 - type: manhattan_spearman value: 79.54073298193023 - task: type: STS dataset: type: None name: MTEB STS14 config: default split: test revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 metrics: - 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type: euclidean_spearman value: 77.63965196736244 - type: manhattan_pearson value: 77.67118978923139 - type: manhattan_spearman value: 78.01084214592416 - task: type: STS dataset: type: None name: MTEB STS17 (en-en) config: en-en split: test revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d metrics: - type: cos_sim_pearson value: 84.39964672680482 - type: cos_sim_spearman value: 85.4075592513342 - type: euclidean_pearson value: 85.111606756296 - type: euclidean_spearman value: 85.40843260765956 - type: manhattan_pearson value: 84.8842901249278 - type: manhattan_spearman value: 85.63868618596224 - task: type: STS dataset: type: None name: MTEB STS22 (en) config: en split: test revision: eea2b4fe26a775864c896887d910b76a8098ad3f metrics: - type: cos_sim_pearson value: 62.75456403534724 - type: cos_sim_spearman value: 60.22663871632273 - type: euclidean_pearson value: 62.65086137572171 - type: euclidean_spearman value: 60.22663871632273 - type: manhattan_pearson value: 62.250953520717104 - type: manhattan_spearman value: 60.3533574497436 - task: type: STS dataset: type: None name: MTEB STSBenchmark config: default split: test revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 metrics: - type: cos_sim_pearson value: 78.68220902816006 - type: cos_sim_spearman value: 77.52592408424563 - type: euclidean_pearson value: 78.64874043891504 - type: euclidean_spearman value: 77.5259126306683 - type: manhattan_pearson value: 77.84730420742085 - type: manhattan_spearman value: 76.87780210711085 - task: type: Reranking dataset: type: None name: MTEB SciDocsRR config: default split: test revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab metrics: - type: map value: 72.3409090022697 - type: mrr value: 90.91359620771387 - task: type: Retrieval dataset: type: None name: MTEB SciFact config: default split: test revision: 0228b52cf27578f30900b9e5271d331663a030d7 metrics: - type: map_at_1 value: 37.583 - type: map_at_10 value: 45.412 - type: map_at_100 value: 46.504 - type: map_at_1000 value: 46.558 - type: map_at_3 value: 42.552 - type: map_at_5 value: 44.635000000000005 - type: mrr_at_1 value: 40.0 - type: mrr_at_10 value: 47.33 - type: mrr_at_100 value: 48.285 - type: mrr_at_1000 value: 48.329 - type: mrr_at_3 value: 44.944 - type: mrr_at_5 value: 46.711000000000006 - type: ndcg_at_1 value: 40.0 - type: ndcg_at_10 value: 49.818 - type: ndcg_at_100 value: 55.226 - type: ndcg_at_1000 value: 56.599999999999994 - type: ndcg_at_3 value: 44.659 - type: ndcg_at_5 value: 48.107 - type: precision_at_1 value: 40.0 - type: precision_at_10 value: 6.833 - type: precision_at_100 value: 0.98 - type: precision_at_1000 value: 0.11 - type: precision_at_3 value: 17.444000000000003 - type: precision_at_5 value: 12.333 - type: recall_at_1 value: 37.583 - type: recall_at_10 value: 61.622 - type: recall_at_100 value: 87.1 - type: recall_at_1000 value: 97.8 - type: recall_at_3 value: 47.983 - type: recall_at_5 value: 56.65 - task: type: PairClassification dataset: type: None name: MTEB SprintDuplicateQuestions config: default split: test revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 metrics: - type: cos_sim_accuracy value: 99.70990099009902 - type: cos_sim_ap value: 91.32913696282823 - type: cos_sim_f1 value: 85.01006036217304 - type: cos_sim_precision value: 85.52631578947368 - type: cos_sim_recall value: 84.5 - type: dot_accuracy value: 99.70990099009902 - type: dot_ap value: 91.32913696282823 - type: dot_f1 value: 85.01006036217304 - type: dot_precision value: 85.52631578947368 - type: dot_recall value: 84.5 - type: euclidean_accuracy value: 99.70990099009902 - type: euclidean_ap value: 91.32913696282823 - type: euclidean_f1 value: 85.01006036217304 - type: euclidean_precision value: 85.52631578947368 - type: euclidean_recall value: 84.5 - type: manhattan_accuracy value: 99.76138613861386 - type: manhattan_ap value: 93.79556639749748 - type: manhattan_f1 value: 87.80246913580247 - type: manhattan_precision value: 86.73170731707317 - type: manhattan_recall value: 88.9 - type: max_accuracy value: 99.76138613861386 - type: max_ap value: 93.79556639749748 - type: max_f1 value: 87.80246913580247 - task: type: Clustering dataset: type: None name: MTEB StackExchangeClustering config: default split: test revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 metrics: - type: v_measure value: 43.31369355223715 - task: type: Clustering dataset: type: None name: MTEB StackExchangeClusteringP2P config: default split: test revision: 815ca46b2622cec33ccafc3735d572c266efdb44 metrics: - type: v_measure value: 29.601772320922777 - task: type: Reranking dataset: type: None name: MTEB StackOverflowDupQuestions config: default split: test revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 metrics: - type: map value: 43.57844146880517 - type: mrr value: 44.13609572616926 - task: type: Summarization dataset: type: None name: MTEB SummEval config: default split: test revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c metrics: - type: cos_sim_pearson value: 30.0154193888818 - type: cos_sim_spearman value: 30.147164982667924 - type: dot_pearson value: 30.015419367262712 - type: dot_spearman value: 30.1547894792066 - task: type: Retrieval dataset: type: None name: MTEB TRECCOVID config: default split: test revision: None metrics: - type: map_at_1 value: 0.125 - type: map_at_10 value: 0.683 - type: map_at_100 value: 3.88 - type: map_at_1000 value: 10.776 - type: map_at_3 value: 0.28200000000000003 - type: map_at_5 value: 0.416 - type: mrr_at_1 value: 56.00000000000001 - type: mrr_at_10 value: 67.144 - type: mrr_at_100 value: 67.674 - type: mrr_at_1000 value: 67.674 - type: mrr_at_3 value: 63.333 - type: mrr_at_5 value: 66.033 - type: ndcg_at_1 value: 48.0 - type: ndcg_at_10 value: 40.453 - type: ndcg_at_100 value: 32.356 - type: ndcg_at_1000 value: 30.54 - type: ndcg_at_3 value: 45.531 - type: ndcg_at_5 value: 43.791999999999994 - type: precision_at_1 value: 54.0 - type: precision_at_10 value: 43.2 - type: precision_at_100 value: 34.12 - type: precision_at_1000 value: 15.192 - type: precision_at_3 value: 48.667 - type: precision_at_5 value: 47.199999999999996 - type: recall_at_1 value: 0.125 - type: recall_at_10 value: 0.9490000000000001 - type: recall_at_100 value: 7.066 - type: recall_at_1000 value: 29.948000000000004 - type: recall_at_3 value: 0.313 - type: recall_at_5 value: 0.526 - task: type: Retrieval dataset: type: None name: MTEB Touche2020 config: default split: test revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f metrics: - type: map_at_1 value: 1.494 - type: map_at_10 value: 8.271 - type: map_at_100 value: 13.59 - type: map_at_1000 value: 15.18 - type: map_at_3 value: 4.232 - type: map_at_5 value: 5.656 - type: mrr_at_1 value: 26.531 - type: mrr_at_10 value: 42.504999999999995 - type: mrr_at_100 value: 43.318 - type: mrr_at_1000 value: 43.318 - type: mrr_at_3 value: 39.456 - type: mrr_at_5 value: 39.966 - type: ndcg_at_1 value: 24.490000000000002 - type: ndcg_at_10 value: 22.358 - type: ndcg_at_100 value: 33.625 - type: ndcg_at_1000 value: 45.211 - type: ndcg_at_3 value: 26.345000000000002 - type: ndcg_at_5 value: 22.743 - type: precision_at_1 value: 26.531 - type: precision_at_10 value: 20.612 - type: precision_at_100 value: 7.5920000000000005 - type: precision_at_1000 value: 1.494 - type: precision_at_3 value: 28.571 - type: precision_at_5 value: 22.857 - type: recall_at_1 value: 1.494 - type: recall_at_10 value: 14.657 - type: recall_at_100 value: 45.273 - type: recall_at_1000 value: 80.66 - type: recall_at_3 value: 5.904 - type: recall_at_5 value: 8.053 - task: type: Classification dataset: type: None name: MTEB ToxicConversationsClassification config: default split: test revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c metrics: - type: accuracy value: 70.35860000000001 - type: ap value: 13.90249255744945 - type: f1 value: 54.08442274867805 - task: type: Classification dataset: type: None name: MTEB TweetSentimentExtractionClassification config: default split: test revision: d604517c81ca91fe16a244d1248fc021f9ecee7a metrics: - type: accuracy value: 54.3010752688172 - type: f1 value: 54.493273092344666 - task: type: Clustering dataset: type: None name: MTEB TwentyNewsgroupsClustering config: default split: test revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 metrics: - 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type: manhattan_f1 value: 59.96326905417815 - type: manhattan_precision value: 53.06785859406745 - type: manhattan_recall value: 68.91820580474935 - type: max_accuracy value: 83.88269654884664 - type: max_ap value: 66.09276985843528 - type: max_f1 value: 63.225649744959924 - task: type: PairClassification dataset: type: None name: MTEB TwitterURLCorpus config: default split: test revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy value: 87.57519307641557 - type: cos_sim_ap value: 83.25474211186804 - type: cos_sim_f1 value: 75.56529680365297 - type: cos_sim_precision value: 71.89129074859248 - type: cos_sim_recall value: 79.63504773637203 - type: dot_accuracy value: 87.57519307641557 - type: dot_ap value: 83.25474240805171 - type: dot_f1 value: 75.56529680365297 - type: dot_precision value: 71.89129074859248 - type: dot_recall value: 79.63504773637203 - type: euclidean_accuracy value: 87.57519307641557 - type: euclidean_ap value: 83.25474211186805 - type: euclidean_f1 value: 75.56529680365297 - type: euclidean_precision value: 71.89129074859248 - type: euclidean_recall value: 79.63504773637203 - type: manhattan_accuracy value: 87.60041914076145 - type: manhattan_ap value: 83.11911507311108 - type: manhattan_f1 value: 75.27478546649627 - type: manhattan_precision value: 71.59130374383552 - type: manhattan_recall value: 79.35786880197105 - type: max_accuracy value: 87.60041914076145 - type: max_ap value: 83.25474240805171 - type: max_f1 value: 75.56529680365297 ---