--- tags: - mteb model-index: - name: nomic_classification_nignore30 results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 74.02985074626865 - type: ap value: 36.54755879675939 - type: f1 value: 67.84911428462374 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 60.98745000000001 - type: ap value: 56.79972495487593 - type: f1 value: 60.79607311981127 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 31.606000000000005 - type: f1 value: 31.20575804283948 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 21.266 - type: map_at_10 value: 35.579 - type: map_at_100 value: 36.867 - type: map_at_1000 value: 36.887 - type: map_at_3 value: 31.105 - type: map_at_5 value: 33.512 - type: mrr_at_1 value: 21.764 - type: mrr_at_10 value: 35.768 - type: mrr_at_100 value: 37.049 - type: mrr_at_1000 value: 37.069 - type: mrr_at_3 value: 31.354 - type: mrr_at_5 value: 33.694 - type: ndcg_at_1 value: 21.266 - type: ndcg_at_10 value: 43.697 - type: ndcg_at_100 value: 49.444 - type: ndcg_at_1000 value: 49.918 - type: ndcg_at_3 value: 34.415 - type: ndcg_at_5 value: 38.751999999999995 - type: precision_at_1 value: 21.266 - type: precision_at_10 value: 6.97 - type: precision_at_100 value: 0.954 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 14.674999999999999 - type: precision_at_5 value: 10.91 - type: recall_at_1 value: 21.266 - type: recall_at_10 value: 69.70100000000001 - type: recall_at_100 value: 95.448 - type: recall_at_1000 value: 99.075 - type: recall_at_3 value: 44.025999999999996 - type: recall_at_5 value: 54.552 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 35.45486521675564 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 24.270159650279354 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 53.62399843388994 - type: mrr value: 68.1675680429143 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 83.62266587849676 - type: cos_sim_spearman value: 80.48918339823612 - type: euclidean_pearson value: 82.46661732971302 - type: euclidean_spearman value: 80.48918339823612 - type: manhattan_pearson value: 81.55398066885756 - type: manhattan_spearman value: 80.27411825686711 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 73.07142857142857 - type: f1 value: 72.39723822054579 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 32.426645848653045 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 23.54829160604571 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 24.001 - type: map_at_10 value: 31.195 - type: map_at_100 value: 32.342999999999996 - type: map_at_1000 value: 32.489000000000004 - type: map_at_3 value: 28.814 - type: map_at_5 value: 30.014000000000003 - type: mrr_at_1 value: 30.186 - type: mrr_at_10 value: 37.034 - type: mrr_at_100 value: 37.881 - type: mrr_at_1000 value: 37.946000000000005 - type: mrr_at_3 value: 35.241 - type: mrr_at_5 value: 36.120999999999995 - type: ndcg_at_1 value: 30.186 - type: ndcg_at_10 value: 35.972 - type: ndcg_at_100 value: 41.25 - type: ndcg_at_1000 value: 44.171 - type: ndcg_at_3 value: 32.674 - type: ndcg_at_5 value: 33.833 - type: precision_at_1 value: 30.186 - type: precision_at_10 value: 6.723999999999999 - type: precision_at_100 value: 1.157 - type: precision_at_1000 value: 0.172 - type: precision_at_3 value: 15.451 - type: precision_at_5 value: 10.815 - type: recall_at_1 value: 24.001 - type: recall_at_10 value: 44.057 - type: recall_at_100 value: 67.72500000000001 - type: recall_at_1000 value: 87.464 - type: recall_at_3 value: 33.817 - type: recall_at_5 value: 37.684 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 16.766000000000002 - type: map_at_10 value: 23.07 - type: map_at_100 value: 24.062 - type: map_at_1000 value: 24.178 - type: map_at_3 value: 21.364 - type: map_at_5 value: 22.3 - type: mrr_at_1 value: 21.146 - type: mrr_at_10 value: 27.24 - type: mrr_at_100 value: 28.092 - type: mrr_at_1000 value: 28.163 - type: mrr_at_3 value: 25.605 - type: mrr_at_5 value: 26.567 - type: ndcg_at_1 value: 21.146 - type: ndcg_at_10 value: 27.031 - type: ndcg_at_100 value: 31.430999999999997 - type: ndcg_at_1000 value: 34.086 - type: ndcg_at_3 value: 24.136 - type: ndcg_at_5 value: 25.462 - type: precision_at_1 value: 21.146 - type: precision_at_10 value: 5.006 - type: precision_at_100 value: 0.901 - type: precision_at_1000 value: 0.13699999999999998 - type: precision_at_3 value: 11.762 - type: precision_at_5 value: 8.229000000000001 - type: recall_at_1 value: 16.766000000000002 - type: recall_at_10 value: 34.55 - type: recall_at_100 value: 53.542 - type: recall_at_1000 value: 71.66900000000001 - type: recall_at_3 value: 26.205000000000002 - type: recall_at_5 value: 29.854000000000003 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 26.579000000000004 - type: map_at_10 value: 35.482 - type: map_at_100 value: 36.564 - type: map_at_1000 value: 36.656 - type: map_at_3 value: 32.940999999999995 - type: map_at_5 value: 34.331 - type: mrr_at_1 value: 30.784 - type: mrr_at_10 value: 38.721 - type: mrr_at_100 value: 39.592 - type: mrr_at_1000 value: 39.653 - type: mrr_at_3 value: 36.468 - type: mrr_at_5 value: 37.688 - type: ndcg_at_1 value: 30.784 - type: ndcg_at_10 value: 40.351 - type: ndcg_at_100 value: 45.499 - type: ndcg_at_1000 value: 47.641 - type: ndcg_at_3 value: 35.605 - type: ndcg_at_5 value: 37.798 - type: precision_at_1 value: 30.784 - type: precision_at_10 value: 6.564 - type: precision_at_100 value: 1.004 - type: precision_at_1000 value: 0.126 - type: precision_at_3 value: 15.862000000000002 - type: precision_at_5 value: 11.008999999999999 - type: recall_at_1 value: 26.579000000000004 - type: recall_at_10 value: 51.978 - type: recall_at_100 value: 75.331 - type: recall_at_1000 value: 90.774 - type: recall_at_3 value: 39.149 - type: recall_at_5 value: 44.516 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 13.013 - type: map_at_10 value: 17.393 - type: map_at_100 value: 18.256 - type: map_at_1000 value: 18.364 - type: map_at_3 value: 15.812000000000001 - type: map_at_5 value: 16.601 - type: mrr_at_1 value: 14.237 - type: mrr_at_10 value: 18.706999999999997 - type: mrr_at_100 value: 19.553 - type: mrr_at_1000 value: 19.651 - type: mrr_at_3 value: 17.081 - type: mrr_at_5 value: 17.895 - type: ndcg_at_1 value: 14.237 - type: ndcg_at_10 value: 20.315 - type: ndcg_at_100 value: 24.914 - type: ndcg_at_1000 value: 28.244999999999997 - type: ndcg_at_3 value: 16.994 - type: ndcg_at_5 value: 18.396 - type: precision_at_1 value: 14.237 - type: precision_at_10 value: 3.198 - type: precision_at_100 value: 0.583 - type: precision_at_1000 value: 0.092 - type: precision_at_3 value: 7.0809999999999995 - type: precision_at_5 value: 4.994 - type: recall_at_1 value: 13.013 - type: recall_at_10 value: 28.297 - type: recall_at_100 value: 50.113 - type: recall_at_1000 value: 76.19500000000001 - type: recall_at_3 value: 19.062 - type: recall_at_5 value: 22.527 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 6.783 - type: map_at_10 value: 10.439 - type: map_at_100 value: 11.26 - type: map_at_1000 value: 11.394 - type: map_at_3 value: 9.314 - type: map_at_5 value: 9.832 - type: mrr_at_1 value: 8.831 - type: mrr_at_10 value: 12.902 - type: mrr_at_100 value: 13.799 - type: mrr_at_1000 value: 13.901 - type: mrr_at_3 value: 11.692 - type: mrr_at_5 value: 12.200999999999999 - type: ndcg_at_1 value: 8.831 - type: ndcg_at_10 value: 12.973 - type: ndcg_at_100 value: 17.465 - type: ndcg_at_1000 value: 21.203 - type: ndcg_at_3 value: 10.778 - type: ndcg_at_5 value: 11.601 - type: precision_at_1 value: 8.831 - type: precision_at_10 value: 2.475 - type: precision_at_100 value: 0.553 - type: precision_at_1000 value: 0.101 - type: precision_at_3 value: 5.265000000000001 - type: precision_at_5 value: 3.781 - type: recall_at_1 value: 6.783 - type: recall_at_10 value: 18.386 - type: recall_at_100 value: 38.885999999999996 - type: recall_at_1000 value: 66.621 - type: recall_at_3 value: 12.235 - type: recall_at_5 value: 14.374999999999998 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 17.946 - type: map_at_10 value: 24.188000000000002 - type: map_at_100 value: 25.402 - type: map_at_1000 value: 25.544 - type: map_at_3 value: 22.157 - type: map_at_5 value: 23.315 - type: mrr_at_1 value: 22.233 - type: mrr_at_10 value: 28.703 - type: mrr_at_100 value: 29.669 - type: mrr_at_1000 value: 29.748 - type: mrr_at_3 value: 26.676 - type: mrr_at_5 value: 27.894000000000002 - type: ndcg_at_1 value: 22.233 - type: ndcg_at_10 value: 28.483999999999998 - type: ndcg_at_100 value: 34.239999999999995 - type: ndcg_at_1000 value: 37.351 - type: ndcg_at_3 value: 25.018 - type: ndcg_at_5 value: 26.679000000000002 - type: precision_at_1 value: 22.233 - type: precision_at_10 value: 5.236 - type: precision_at_100 value: 0.962 - type: precision_at_1000 value: 0.14200000000000002 - type: precision_at_3 value: 11.806 - type: precision_at_5 value: 8.566 - type: recall_at_1 value: 17.946 - type: recall_at_10 value: 37.049 - type: recall_at_100 value: 62.473 - type: recall_at_1000 value: 83.829 - type: recall_at_3 value: 27.022000000000002 - type: recall_at_5 value: 31.435000000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 13.966000000000001 - type: map_at_10 value: 19.797 - type: map_at_100 value: 20.764 - type: map_at_1000 value: 20.913 - type: map_at_3 value: 17.688000000000002 - type: map_at_5 value: 18.796 - type: mrr_at_1 value: 17.122999999999998 - type: mrr_at_10 value: 23.277 - type: mrr_at_100 value: 24.095 - type: mrr_at_1000 value: 24.197 - type: mrr_at_3 value: 21.176000000000002 - type: mrr_at_5 value: 22.323 - type: ndcg_at_1 value: 17.122999999999998 - type: ndcg_at_10 value: 23.860999999999997 - type: ndcg_at_100 value: 28.669 - type: ndcg_at_1000 value: 32.375 - type: ndcg_at_3 value: 19.983999999999998 - type: ndcg_at_5 value: 21.647 - type: precision_at_1 value: 17.122999999999998 - type: precision_at_10 value: 4.623 - type: precision_at_100 value: 0.839 - type: precision_at_1000 value: 0.133 - type: precision_at_3 value: 9.551 - type: precision_at_5 value: 7.1 - type: recall_at_1 value: 13.966000000000001 - type: recall_at_10 value: 32.629999999999995 - type: recall_at_100 value: 53.842 - type: recall_at_1000 value: 80.583 - type: recall_at_3 value: 21.804000000000002 - type: recall_at_5 value: 26.101999999999997 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 14.974750000000004 - type: map_at_10 value: 20.34575 - type: map_at_100 value: 21.290416666666665 - type: map_at_1000 value: 21.41825 - type: map_at_3 value: 18.576500000000003 - type: map_at_5 value: 19.546166666666668 - type: mrr_at_1 value: 18.049249999999997 - type: mrr_at_10 value: 23.45216666666667 - type: mrr_at_100 value: 24.29241666666667 - type: mrr_at_1000 value: 24.37841666666667 - type: mrr_at_3 value: 21.728749999999998 - type: mrr_at_5 value: 22.680916666666665 - type: ndcg_at_1 value: 18.049249999999997 - type: ndcg_at_10 value: 23.90125 - type: ndcg_at_100 value: 28.57325 - type: ndcg_at_1000 value: 31.747583333333335 - type: ndcg_at_3 value: 20.71783333333333 - type: ndcg_at_5 value: 22.17008333333333 - type: precision_at_1 value: 18.049249999999997 - type: precision_at_10 value: 4.257666666666667 - type: precision_at_100 value: 0.7843333333333332 - type: precision_at_1000 value: 0.12375000000000003 - type: precision_at_3 value: 9.573750000000002 - type: precision_at_5 value: 6.871666666666666 - type: recall_at_1 value: 14.974750000000004 - type: recall_at_10 value: 31.535416666666666 - type: recall_at_100 value: 52.869583333333324 - type: recall_at_1000 value: 75.93208333333334 - type: recall_at_3 value: 22.561833333333333 - type: recall_at_5 value: 26.351583333333334 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 11.584 - type: map_at_10 value: 15.47 - type: map_at_100 value: 16.276 - type: map_at_1000 value: 16.361 - type: map_at_3 value: 14.022000000000002 - type: map_at_5 value: 14.884 - type: mrr_at_1 value: 13.65 - type: mrr_at_10 value: 17.566000000000003 - type: mrr_at_100 value: 18.335 - type: mrr_at_1000 value: 18.411 - type: mrr_at_3 value: 16.053 - type: mrr_at_5 value: 16.843 - type: ndcg_at_1 value: 13.65 - type: ndcg_at_10 value: 18.208 - type: ndcg_at_100 value: 22.352 - type: ndcg_at_1000 value: 24.969 - type: ndcg_at_3 value: 15.459 - type: ndcg_at_5 value: 16.817 - type: precision_at_1 value: 13.65 - type: precision_at_10 value: 3.083 - type: precision_at_100 value: 0.561 - type: precision_at_1000 value: 0.086 - type: precision_at_3 value: 6.902 - type: precision_at_5 value: 4.968999999999999 - type: recall_at_1 value: 11.584 - type: recall_at_10 value: 24.629 - type: recall_at_100 value: 43.963 - type: recall_at_1000 value: 63.944 - type: recall_at_3 value: 17.155 - type: recall_at_5 value: 20.598 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 7.792000000000001 - type: map_at_10 value: 11.246 - type: map_at_100 value: 11.955 - type: map_at_1000 value: 12.076 - type: map_at_3 value: 10.176 - type: map_at_5 value: 10.802 - type: mrr_at_1 value: 9.67 - type: mrr_at_10 value: 13.591000000000001 - type: mrr_at_100 value: 14.285999999999998 - type: mrr_at_1000 value: 14.385 - type: mrr_at_3 value: 12.394 - type: mrr_at_5 value: 13.104 - type: ndcg_at_1 value: 9.67 - type: ndcg_at_10 value: 13.645 - type: ndcg_at_100 value: 17.562 - type: ndcg_at_1000 value: 21.101 - type: ndcg_at_3 value: 11.635 - type: ndcg_at_5 value: 12.638 - type: precision_at_1 value: 9.67 - type: precision_at_10 value: 2.54 - type: precision_at_100 value: 0.538 - type: precision_at_1000 value: 0.101 - type: precision_at_3 value: 5.632000000000001 - type: precision_at_5 value: 4.136 - type: recall_at_1 value: 7.792000000000001 - type: recall_at_10 value: 18.63 - type: recall_at_100 value: 37.047999999999995 - type: recall_at_1000 value: 63.391 - type: recall_at_3 value: 12.956999999999999 - type: recall_at_5 value: 15.581 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 13.358999999999998 - type: map_at_10 value: 18.154999999999998 - type: map_at_100 value: 19.008 - type: map_at_1000 value: 19.125 - type: map_at_3 value: 16.645 - type: map_at_5 value: 17.544999999999998 - type: mrr_at_1 value: 15.672 - type: mrr_at_10 value: 20.973 - type: mrr_at_100 value: 21.782 - type: mrr_at_1000 value: 21.88 - type: mrr_at_3 value: 19.356 - type: mrr_at_5 value: 20.28 - type: ndcg_at_1 value: 15.672 - type: ndcg_at_10 value: 21.391 - type: ndcg_at_100 value: 25.71 - type: ndcg_at_1000 value: 29.016 - type: ndcg_at_3 value: 18.489 - type: ndcg_at_5 value: 19.916 - type: precision_at_1 value: 15.672 - type: precision_at_10 value: 3.573 - type: precision_at_100 value: 0.636 - type: precision_at_1000 value: 0.10300000000000001 - type: precision_at_3 value: 8.488999999999999 - type: precision_at_5 value: 5.989 - type: recall_at_1 value: 13.358999999999998 - type: recall_at_10 value: 28.695999999999998 - type: recall_at_100 value: 48.165 - type: recall_at_1000 value: 72.64500000000001 - type: recall_at_3 value: 20.573 - type: recall_at_5 value: 24.284 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 15.881 - type: map_at_10 value: 21.754 - type: map_at_100 value: 22.88 - type: map_at_1000 value: 23.087 - type: map_at_3 value: 19.827 - type: map_at_5 value: 20.964 - type: mrr_at_1 value: 19.564999999999998 - type: mrr_at_10 value: 25.246000000000002 - type: mrr_at_100 value: 26.163999999999998 - type: mrr_at_1000 value: 26.240999999999996 - type: mrr_at_3 value: 23.352999999999998 - type: mrr_at_5 value: 24.587999999999997 - type: ndcg_at_1 value: 19.564999999999998 - type: ndcg_at_10 value: 25.740000000000002 - type: ndcg_at_100 value: 30.977 - type: ndcg_at_1000 value: 34.486 - type: ndcg_at_3 value: 22.625 - type: ndcg_at_5 value: 24.294 - type: precision_at_1 value: 19.564999999999998 - type: precision_at_10 value: 5.0200000000000005 - type: precision_at_100 value: 1.146 - type: precision_at_1000 value: 0.201 - type: precision_at_3 value: 10.738 - type: precision_at_5 value: 8.103 - type: recall_at_1 value: 15.881 - type: recall_at_10 value: 32.918 - type: recall_at_100 value: 58.184000000000005 - type: recall_at_1000 value: 81.76299999999999 - type: recall_at_3 value: 23.992 - type: recall_at_5 value: 28.265 - 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: 15.959999999999999 - type: map_at_100 value: 16.715 - type: map_at_1000 value: 16.832 - type: map_at_3 value: 14.158000000000001 - type: map_at_5 value: 15.17 - type: mrr_at_1 value: 13.494 - type: mrr_at_10 value: 17.466 - type: mrr_at_100 value: 18.261 - type: mrr_at_1000 value: 18.365000000000002 - type: mrr_at_3 value: 15.65 - type: mrr_at_5 value: 16.667 - type: ndcg_at_1 value: 13.494 - type: ndcg_at_10 value: 18.844 - type: ndcg_at_100 value: 22.81 - type: ndcg_at_1000 value: 26.327 - type: ndcg_at_3 value: 15.217 - type: ndcg_at_5 value: 16.96 - type: precision_at_1 value: 13.494 - type: precision_at_10 value: 3.05 - type: precision_at_100 value: 0.532 - type: precision_at_1000 value: 0.091 - type: precision_at_3 value: 6.346 - type: precision_at_5 value: 4.769 - type: recall_at_1 value: 12.027000000000001 - type: recall_at_10 value: 26.605 - type: recall_at_100 value: 45.163 - type: recall_at_1000 value: 72.307 - type: recall_at_3 value: 16.771 - type: recall_at_5 value: 20.998 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 6.479 - type: map_at_10 value: 11.559 - type: map_at_100 value: 12.936 - type: map_at_1000 value: 13.120000000000001 - type: map_at_3 value: 9.377 - type: map_at_5 value: 10.494 - type: mrr_at_1 value: 14.396999999999998 - type: mrr_at_10 value: 23.039 - type: mrr_at_100 value: 24.141000000000002 - type: mrr_at_1000 value: 24.215999999999998 - type: mrr_at_3 value: 19.814999999999998 - type: mrr_at_5 value: 21.656 - type: ndcg_at_1 value: 14.396999999999998 - type: ndcg_at_10 value: 17.258000000000003 - type: ndcg_at_100 value: 23.615 - type: ndcg_at_1000 value: 27.605 - type: ndcg_at_3 value: 13.114999999999998 - type: ndcg_at_5 value: 14.698 - type: precision_at_1 value: 14.396999999999998 - type: precision_at_10 value: 5.713 - type: precision_at_100 value: 1.25 - type: precision_at_1000 value: 0.198 - type: precision_at_3 value: 9.924 - type: precision_at_5 value: 8.104 - type: recall_at_1 value: 6.479 - type: recall_at_10 value: 22.088 - type: recall_at_100 value: 44.681 - type: recall_at_1000 value: 67.869 - type: recall_at_3 value: 12.203 - type: recall_at_5 value: 16.275000000000002 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 4.618 - type: map_at_10 value: 10.217 - type: map_at_100 value: 14.038999999999998 - type: map_at_1000 value: 15.03 - type: map_at_3 value: 7.523000000000001 - type: map_at_5 value: 8.688 - type: mrr_at_1 value: 41.75 - type: mrr_at_10 value: 51.991 - type: mrr_at_100 value: 52.711 - type: mrr_at_1000 value: 52.746 - type: mrr_at_3 value: 49.5 - type: mrr_at_5 value: 50.961999999999996 - type: ndcg_at_1 value: 30.875000000000004 - type: ndcg_at_10 value: 24.709999999999997 - type: ndcg_at_100 value: 27.584999999999997 - type: ndcg_at_1000 value: 34.508 - type: ndcg_at_3 value: 27.88 - type: ndcg_at_5 value: 26.168999999999997 - type: precision_at_1 value: 41.75 - type: precision_at_10 value: 21.45 - type: precision_at_100 value: 6.795 - type: precision_at_1000 value: 1.43 - type: precision_at_3 value: 33.083 - type: precision_at_5 value: 27.750000000000004 - type: recall_at_1 value: 4.618 - type: recall_at_10 value: 14.898 - type: recall_at_100 value: 33.027 - type: recall_at_1000 value: 57.036 - type: recall_at_3 value: 8.995000000000001 - type: recall_at_5 value: 11.23 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 43.19499999999999 - type: f1 value: 40.60048839070268 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 17.11 - type: map_at_10 value: 25.478 - type: map_at_100 value: 26.436 - type: map_at_1000 value: 26.51 - type: map_at_3 value: 22.996 - type: map_at_5 value: 24.329 - type: mrr_at_1 value: 18.317 - type: mrr_at_10 value: 27.090999999999998 - type: mrr_at_100 value: 28.037 - type: mrr_at_1000 value: 28.102 - type: mrr_at_3 value: 24.532 - type: mrr_at_5 value: 25.918999999999997 - type: ndcg_at_1 value: 18.317 - type: ndcg_at_10 value: 30.448999999999998 - type: ndcg_at_100 value: 35.302 - type: ndcg_at_1000 value: 37.325 - type: ndcg_at_3 value: 25.326999999999998 - type: ndcg_at_5 value: 27.716 - type: precision_at_1 value: 18.317 - type: precision_at_10 value: 4.8469999999999995 - type: precision_at_100 value: 0.747 - type: precision_at_1000 value: 0.094 - type: precision_at_3 value: 10.975999999999999 - type: precision_at_5 value: 7.846 - type: recall_at_1 value: 17.11 - type: recall_at_10 value: 44.466 - type: recall_at_100 value: 67.06299999999999 - type: recall_at_1000 value: 82.64200000000001 - type: recall_at_3 value: 30.509999999999998 - type: recall_at_5 value: 36.27 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 7.446999999999999 - type: map_at_10 value: 12.188 - type: map_at_100 value: 13.241 - type: map_at_1000 value: 13.450000000000001 - type: map_at_3 value: 10.184999999999999 - type: map_at_5 value: 11.266 - type: mrr_at_1 value: 15.123000000000001 - type: mrr_at_10 value: 21.397 - type: mrr_at_100 value: 22.303 - type: mrr_at_1000 value: 22.398 - type: mrr_at_3 value: 19.187 - type: mrr_at_5 value: 20.383000000000003 - type: ndcg_at_1 value: 15.123000000000001 - type: ndcg_at_10 value: 16.957 - type: ndcg_at_100 value: 22.147 - type: ndcg_at_1000 value: 26.759 - type: ndcg_at_3 value: 14.091000000000001 - type: ndcg_at_5 value: 15.135000000000002 - type: precision_at_1 value: 15.123000000000001 - type: precision_at_10 value: 4.938 - type: precision_at_100 value: 1.019 - type: precision_at_1000 value: 0.18 - type: precision_at_3 value: 9.568 - type: precision_at_5 value: 7.438000000000001 - type: recall_at_1 value: 7.446999999999999 - type: recall_at_10 value: 22.094 - type: recall_at_100 value: 42.397 - type: recall_at_1000 value: 71.15700000000001 - type: recall_at_3 value: 12.879 - type: recall_at_5 value: 16.49 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 18.285 - type: map_at_10 value: 25.703 - type: map_at_100 value: 26.634 - type: map_at_1000 value: 26.741999999999997 - type: map_at_3 value: 23.642 - type: map_at_5 value: 24.826 - type: mrr_at_1 value: 36.57 - type: mrr_at_10 value: 43.772 - type: mrr_at_100 value: 44.51 - type: mrr_at_1000 value: 44.561 - type: mrr_at_3 value: 41.787 - type: mrr_at_5 value: 42.964 - type: ndcg_at_1 value: 36.57 - type: ndcg_at_10 value: 32.763999999999996 - type: ndcg_at_100 value: 37.077 - type: ndcg_at_1000 value: 39.666000000000004 - type: ndcg_at_3 value: 28.906 - type: ndcg_at_5 value: 30.86 - type: precision_at_1 value: 36.57 - type: precision_at_10 value: 7.202 - type: precision_at_100 value: 1.065 - type: precision_at_1000 value: 0.14100000000000001 - type: precision_at_3 value: 18.231 - type: precision_at_5 value: 12.483 - type: recall_at_1 value: 18.285 - type: recall_at_10 value: 36.009 - type: recall_at_100 value: 53.27499999999999 - type: recall_at_1000 value: 70.635 - type: recall_at_3 value: 27.345999999999997 - type: recall_at_5 value: 31.208999999999996 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 61.361999999999995 - type: ap value: 57.09674595597791 - type: f1 value: 60.94720401382382 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 6.686 - type: map_at_10 value: 11.454 - type: map_at_100 value: 12.342 - type: map_at_1000 value: 12.447 - type: map_at_3 value: 9.722 - type: map_at_5 value: 10.632 - type: mrr_at_1 value: 6.891 - type: mrr_at_10 value: 11.768 - type: mrr_at_100 value: 12.651000000000002 - type: mrr_at_1000 value: 12.753 - type: mrr_at_3 value: 10.001999999999999 - type: mrr_at_5 value: 10.918999999999999 - type: ndcg_at_1 value: 6.848 - type: ndcg_at_10 value: 14.466000000000001 - type: ndcg_at_100 value: 19.301 - type: ndcg_at_1000 value: 22.458 - type: ndcg_at_3 value: 10.836 - type: ndcg_at_5 value: 12.475 - type: precision_at_1 value: 6.848 - type: precision_at_10 value: 2.48 - type: precision_at_100 value: 0.49899999999999994 - type: precision_at_1000 value: 0.077 - type: precision_at_3 value: 4.766 - type: precision_at_5 value: 3.682 - type: recall_at_1 value: 6.686 - type: recall_at_10 value: 23.82 - type: recall_at_100 value: 47.349999999999994 - type: recall_at_1000 value: 72.66 - type: recall_at_3 value: 13.811000000000002 - type: recall_at_5 value: 17.76 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 87.67213862289103 - type: f1 value: 86.45841301738238 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 56.82170542635659 - type: f1 value: 39.12615117855274 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 60.18829858776058 - type: f1 value: 58.617914607265064 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 66.45595158036315 - type: f1 value: 64.9778374481982 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 29.531989286141012 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 26.070324322784792 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 29.516858081965257 - type: mrr value: 30.51047930520146 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 4.131 - type: map_at_10 value: 8.826 - type: map_at_100 value: 11.094999999999999 - type: map_at_1000 value: 12.484 - type: map_at_3 value: 6.723 - type: map_at_5 value: 7.683 - type: mrr_at_1 value: 34.985 - type: mrr_at_10 value: 44.921 - type: mrr_at_100 value: 45.62 - type: mrr_at_1000 value: 45.676 - type: mrr_at_3 value: 42.931000000000004 - type: mrr_at_5 value: 44.385999999999996 - type: ndcg_at_1 value: 32.507999999999996 - type: ndcg_at_10 value: 26.773000000000003 - type: ndcg_at_100 value: 24.751 - type: ndcg_at_1000 value: 34.19 - type: ndcg_at_3 value: 31.213 - type: ndcg_at_5 value: 29.249000000000002 - type: precision_at_1 value: 34.985 - type: precision_at_10 value: 20.247999999999998 - type: precision_at_100 value: 6.907000000000001 - type: precision_at_1000 value: 2.031 - type: precision_at_3 value: 30.341 - type: precision_at_5 value: 25.759 - type: recall_at_1 value: 4.131 - type: recall_at_10 value: 12.465 - type: recall_at_100 value: 25.776 - type: recall_at_1000 value: 59.876 - type: recall_at_3 value: 7.968 - type: recall_at_5 value: 9.968 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 9.277000000000001 - type: map_at_10 value: 15.709999999999999 - type: map_at_100 value: 16.980999999999998 - type: map_at_1000 value: 17.074 - type: map_at_3 value: 13.157 - type: map_at_5 value: 14.571000000000002 - type: mrr_at_1 value: 10.574 - type: mrr_at_10 value: 17.344 - type: mrr_at_100 value: 18.506 - type: mrr_at_1000 value: 18.584999999999997 - type: mrr_at_3 value: 14.677000000000001 - type: mrr_at_5 value: 16.213 - type: ndcg_at_1 value: 10.574 - type: ndcg_at_10 value: 20.044 - type: ndcg_at_100 value: 26.447 - type: ndcg_at_1000 value: 29.084 - type: ndcg_at_3 value: 14.787 - type: ndcg_at_5 value: 17.362 - type: precision_at_1 value: 10.574 - type: precision_at_10 value: 3.7600000000000002 - type: precision_at_100 value: 0.738 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 6.933 - type: precision_at_5 value: 5.608 - type: recall_at_1 value: 9.277000000000001 - type: recall_at_10 value: 31.948 - type: recall_at_100 value: 61.708 - type: recall_at_1000 value: 82.07799999999999 - type: recall_at_3 value: 18.045 - type: recall_at_5 value: 24.038999999999998 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 64.268 - type: map_at_10 value: 77.19500000000001 - type: map_at_100 value: 77.95299999999999 - type: map_at_1000 value: 77.986 - type: map_at_3 value: 74.30499999999999 - type: map_at_5 value: 76.054 - type: mrr_at_1 value: 74.09 - type: mrr_at_10 value: 81.384 - type: mrr_at_100 value: 81.592 - type: mrr_at_1000 value: 81.597 - type: mrr_at_3 value: 80.00500000000001 - type: mrr_at_5 value: 80.876 - type: ndcg_at_1 value: 74.16 - type: ndcg_at_10 value: 81.813 - type: ndcg_at_100 value: 83.787 - type: ndcg_at_1000 value: 84.11800000000001 - type: ndcg_at_3 value: 78.389 - type: ndcg_at_5 value: 80.123 - type: precision_at_1 value: 74.16 - type: precision_at_10 value: 12.35 - type: precision_at_100 value: 1.466 - type: precision_at_1000 value: 0.155 - type: precision_at_3 value: 34.067 - type: precision_at_5 value: 22.442 - type: recall_at_1 value: 64.268 - type: recall_at_10 value: 90.67 - type: recall_at_100 value: 97.935 - type: recall_at_1000 value: 99.703 - type: recall_at_3 value: 80.752 - type: recall_at_5 value: 85.63300000000001 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 39.191626251430044 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 47.00784930616429 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 2.948 - type: map_at_10 value: 7.126 - type: map_at_100 value: 8.462 - type: map_at_1000 value: 8.713 - type: map_at_3 value: 5.143 - type: map_at_5 value: 6.117 - type: mrr_at_1 value: 14.499999999999998 - type: mrr_at_10 value: 22.455 - type: mrr_at_100 value: 23.666 - type: mrr_at_1000 value: 23.745 - type: mrr_at_3 value: 19.417 - type: mrr_at_5 value: 21.117 - type: ndcg_at_1 value: 14.499999999999998 - type: ndcg_at_10 value: 12.666 - type: ndcg_at_100 value: 18.993 - type: ndcg_at_1000 value: 24.09 - type: ndcg_at_3 value: 11.655999999999999 - type: ndcg_at_5 value: 10.342 - type: precision_at_1 value: 14.499999999999998 - type: precision_at_10 value: 6.65 - type: precision_at_100 value: 1.598 - type: precision_at_1000 value: 0.28300000000000003 - type: precision_at_3 value: 10.8 - type: precision_at_5 value: 9.1 - type: recall_at_1 value: 2.948 - type: recall_at_10 value: 13.492 - type: recall_at_100 value: 32.448 - type: recall_at_1000 value: 57.553 - type: recall_at_3 value: 6.578 - type: recall_at_5 value: 9.242 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 75.38146213095916 - type: cos_sim_spearman value: 65.36914729991646 - type: euclidean_pearson value: 70.34893420889419 - type: euclidean_spearman value: 65.36925972117625 - type: manhattan_pearson value: 68.16816720045782 - type: manhattan_spearman value: 64.0884396246228 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 74.45813185900207 - type: cos_sim_spearman value: 68.03206487736479 - type: euclidean_pearson value: 70.55331228911669 - type: euclidean_spearman value: 68.03330456319067 - type: manhattan_pearson value: 68.32513309931606 - type: manhattan_spearman value: 66.90519361570585 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 77.32203252223916 - type: cos_sim_spearman value: 78.44952447167366 - type: euclidean_pearson value: 78.18870184193474 - type: euclidean_spearman value: 78.44956228059971 - type: manhattan_pearson value: 77.82417744157945 - type: manhattan_spearman value: 78.17317129725184 - task: type: STS dataset: type: None name: MTEB STS14 config: default split: test revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 metrics: - type: cos_sim_pearson value: 77.98515479114604 - type: cos_sim_spearman value: 74.70914230860409 - type: euclidean_pearson value: 76.81874418213698 - type: euclidean_spearman value: 74.70913261737951 - type: manhattan_pearson value: 75.54410520012546 - type: manhattan_spearman value: 73.74596322038998 - task: type: STS dataset: type: None name: MTEB STS15 config: default split: test revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 metrics: - type: cos_sim_pearson value: 81.34912352314105 - type: cos_sim_spearman value: 82.13479378308254 - type: euclidean_pearson value: 82.07291865315551 - type: euclidean_spearman value: 82.13479226815167 - type: manhattan_pearson value: 81.51909627091456 - type: manhattan_spearman value: 81.70075499671213 - task: type: STS dataset: type: None name: MTEB STS16 config: default split: test revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 metrics: - type: cos_sim_pearson value: 76.1116492955691 - type: cos_sim_spearman value: 77.19800116078945 - type: euclidean_pearson value: 76.8231316467101 - type: euclidean_spearman value: 77.19883015620502 - type: manhattan_pearson value: 77.10588536013977 - type: manhattan_spearman value: 77.50215416532438 - task: type: STS dataset: type: None name: MTEB STS17 (en-en) config: en-en split: test revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d metrics: - type: cos_sim_pearson value: 84.10770264372314 - type: cos_sim_spearman value: 84.97403648808209 - type: euclidean_pearson value: 84.41825024902698 - type: euclidean_spearman value: 84.97491009412074 - type: manhattan_pearson value: 84.16827578787243 - type: manhattan_spearman value: 84.92739867128569 - task: type: STS dataset: type: None name: MTEB STS22 (en) config: en split: test revision: eea2b4fe26a775864c896887d910b76a8098ad3f metrics: - type: cos_sim_pearson value: 62.91807215204278 - type: cos_sim_spearman value: 59.61282196137074 - type: euclidean_pearson value: 62.702286829442436 - type: euclidean_spearman value: 59.61282196137074 - type: manhattan_pearson value: 62.26491120673072 - type: manhattan_spearman value: 59.7161013914999 - task: type: STS dataset: type: None name: MTEB STSBenchmark config: default split: test revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 metrics: - type: cos_sim_pearson value: 78.43114398442724 - type: cos_sim_spearman value: 77.35423527756463 - type: euclidean_pearson value: 78.2269102978861 - type: euclidean_spearman value: 77.35428366374488 - type: manhattan_pearson value: 77.26973789544932 - type: manhattan_spearman value: 76.58307796792111 - task: type: Reranking dataset: type: None name: MTEB SciDocsRR config: default split: test revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab metrics: - type: map value: 72.61932743075317 - type: mrr value: 91.38920810489437 - task: type: Retrieval dataset: type: None name: MTEB SciFact config: default split: test revision: 0228b52cf27578f30900b9e5271d331663a030d7 metrics: - type: map_at_1 value: 36.861 - type: map_at_10 value: 45.93 - type: map_at_100 value: 46.861000000000004 - type: map_at_1000 value: 46.924 - type: map_at_3 value: 43.283 - type: map_at_5 value: 44.675 - type: mrr_at_1 value: 39.333 - type: mrr_at_10 value: 47.906 - type: mrr_at_100 value: 48.665000000000006 - type: mrr_at_1000 value: 48.722 - type: mrr_at_3 value: 45.611000000000004 - type: mrr_at_5 value: 46.778 - type: ndcg_at_1 value: 39.333 - type: ndcg_at_10 value: 50.970000000000006 - type: ndcg_at_100 value: 55.491 - type: ndcg_at_1000 value: 57.099 - type: ndcg_at_3 value: 45.837 - type: ndcg_at_5 value: 48.081 - type: precision_at_1 value: 39.333 - type: precision_at_10 value: 7.199999999999999 - type: precision_at_100 value: 0.9730000000000001 - type: precision_at_1000 value: 0.11100000000000002 - type: precision_at_3 value: 18.333 - type: precision_at_5 value: 12.4 - type: recall_at_1 value: 36.861 - type: recall_at_10 value: 64.839 - type: recall_at_100 value: 85.983 - type: recall_at_1000 value: 98.467 - type: recall_at_3 value: 50.678 - type: recall_at_5 value: 56.24400000000001 - task: type: PairClassification dataset: type: None name: MTEB SprintDuplicateQuestions config: default split: test revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 metrics: - type: cos_sim_accuracy value: 99.75742574257426 - type: cos_sim_ap value: 93.4938177052363 - type: cos_sim_f1 value: 87.45019920318725 - type: cos_sim_precision value: 87.10317460317461 - type: cos_sim_recall value: 87.8 - type: dot_accuracy value: 99.75742574257426 - type: dot_ap value: 93.4938177052363 - type: dot_f1 value: 87.45019920318725 - type: dot_precision value: 87.10317460317461 - type: dot_recall value: 87.8 - type: euclidean_accuracy value: 99.75742574257426 - type: euclidean_ap value: 93.4938177052363 - type: euclidean_f1 value: 87.45019920318725 - type: euclidean_precision value: 87.10317460317461 - type: euclidean_recall value: 87.8 - type: manhattan_accuracy value: 99.77425742574258 - type: manhattan_ap value: 94.11582049960462 - type: manhattan_f1 value: 88.3367139959432 - type: manhattan_precision value: 89.60905349794238 - type: manhattan_recall value: 87.1 - type: max_accuracy value: 99.77425742574258 - type: max_ap value: 94.11582049960462 - type: max_f1 value: 88.3367139959432 - task: type: Clustering dataset: type: None name: MTEB StackExchangeClustering config: default split: test revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 metrics: - type: v_measure value: 40.69098529569445 - task: type: Clustering dataset: type: None name: MTEB StackExchangeClusteringP2P config: default split: test revision: 815ca46b2622cec33ccafc3735d572c266efdb44 metrics: - type: v_measure value: 29.68544212745689 - task: type: Reranking dataset: type: None name: MTEB StackOverflowDupQuestions config: default split: test revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 metrics: - type: map value: 43.065922067847836 - type: mrr value: 43.64432136490961 - task: type: Summarization dataset: type: None name: MTEB SummEval config: default split: test revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c metrics: - type: cos_sim_pearson value: 29.750957237960492 - type: cos_sim_spearman value: 30.099771071145582 - type: dot_pearson value: 29.75095720371408 - type: dot_spearman value: 30.128683537072114 - task: type: Retrieval dataset: type: None name: MTEB TRECCOVID config: default split: test revision: None metrics: - type: map_at_1 value: 0.129 - type: map_at_10 value: 0.6890000000000001 - type: map_at_100 value: 3.511 - type: map_at_1000 value: 8.943 - type: map_at_3 value: 0.304 - type: map_at_5 value: 0.42700000000000005 - type: mrr_at_1 value: 56.00000000000001 - type: mrr_at_10 value: 65.908 - type: mrr_at_100 value: 66.60199999999999 - type: mrr_at_1000 value: 66.60199999999999 - type: mrr_at_3 value: 63.333 - type: mrr_at_5 value: 64.23299999999999 - type: ndcg_at_1 value: 51.0 - type: ndcg_at_10 value: 39.304 - type: ndcg_at_100 value: 29.392000000000003 - type: ndcg_at_1000 value: 26.044 - type: ndcg_at_3 value: 45.408 - type: ndcg_at_5 value: 41.997 - type: precision_at_1 value: 56.00000000000001 - type: precision_at_10 value: 40.8 - type: precision_at_100 value: 30.48 - type: precision_at_1000 value: 12.692 - type: precision_at_3 value: 48.0 - type: precision_at_5 value: 43.6 - type: recall_at_1 value: 0.129 - type: recall_at_10 value: 0.893 - type: recall_at_100 value: 6.324000000000001 - type: recall_at_1000 value: 24.964 - type: recall_at_3 value: 0.33999999999999997 - type: recall_at_5 value: 0.505 - task: type: Retrieval dataset: type: None name: MTEB Touche2020 config: default split: test revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f metrics: - type: map_at_1 value: 1.6179999999999999 - type: map_at_10 value: 8.232000000000001 - type: map_at_100 value: 14.643999999999998 - type: map_at_1000 value: 16.259 - type: map_at_3 value: 4.2090000000000005 - type: map_at_5 value: 5.401 - type: mrr_at_1 value: 24.490000000000002 - type: mrr_at_10 value: 43.963 - type: mrr_at_100 value: 45.022 - type: mrr_at_1000 value: 45.039 - type: mrr_at_3 value: 42.177 - type: mrr_at_5 value: 42.687000000000005 - type: ndcg_at_1 value: 23.469 - type: ndcg_at_10 value: 22.526 - type: ndcg_at_100 value: 36.411 - type: ndcg_at_1000 value: 47.461 - type: ndcg_at_3 value: 27.176000000000002 - type: ndcg_at_5 value: 23.787 - type: precision_at_1 value: 24.490000000000002 - type: precision_at_10 value: 20.0 - type: precision_at_100 value: 8.286 - type: precision_at_1000 value: 1.543 - type: precision_at_3 value: 29.252 - type: precision_at_5 value: 23.265 - type: recall_at_1 value: 1.6179999999999999 - type: recall_at_10 value: 14.443 - type: recall_at_100 value: 50.073 - type: recall_at_1000 value: 83.56700000000001 - type: recall_at_3 value: 5.831 - type: recall_at_5 value: 7.797 - task: type: Classification dataset: type: None name: MTEB ToxicConversationsClassification config: default split: test revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c metrics: - type: accuracy value: 69.5932 - type: ap value: 13.748287764670659 - type: f1 value: 53.6121537777008 - task: type: Classification dataset: type: None name: MTEB TweetSentimentExtractionClassification config: default split: test revision: d604517c81ca91fe16a244d1248fc021f9ecee7a metrics: - type: accuracy value: 48.60498019241653 - type: f1 value: 48.8190614849162 - task: type: Clustering dataset: type: None name: MTEB TwentyNewsgroupsClustering config: default split: test revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 metrics: - type: v_measure value: 37.40279692338929 - task: type: PairClassification dataset: type: None name: MTEB TwitterSemEval2015 config: default split: test revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 metrics: - type: cos_sim_accuracy value: 83.11378673183525 - type: cos_sim_ap value: 63.412004464549696 - type: cos_sim_f1 value: 60.880921286952386 - type: cos_sim_precision value: 55.34211094323332 - type: cos_sim_recall value: 67.65171503957784 - type: dot_accuracy value: 83.11378673183525 - type: dot_ap value: 63.412004464549696 - type: dot_f1 value: 60.880921286952386 - type: dot_precision value: 55.34211094323332 - type: dot_recall value: 67.65171503957784 - type: euclidean_accuracy value: 83.11378673183525 - type: euclidean_ap value: 63.412004464549696 - type: euclidean_f1 value: 60.880921286952386 - type: euclidean_precision value: 55.34211094323332 - type: euclidean_recall value: 67.65171503957784 - type: manhattan_accuracy value: 82.13625797222389 - type: manhattan_ap value: 60.704142220415335 - type: manhattan_f1 value: 58.10686319668357 - type: manhattan_precision value: 51.55292194523907 - type: manhattan_recall value: 66.56992084432719 - type: max_accuracy value: 83.11378673183525 - type: max_ap value: 63.412004464549696 - type: max_f1 value: 60.880921286952386 - task: type: PairClassification dataset: type: None name: MTEB TwitterURLCorpus config: default split: test revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy value: 87.48593161796096 - type: cos_sim_ap value: 83.09276630048417 - type: cos_sim_f1 value: 75.22376690154258 - type: cos_sim_precision value: 74.4328031958996 - type: cos_sim_recall value: 76.03172158915923 - type: dot_accuracy value: 87.48593161796096 - type: dot_ap value: 83.09276630048417 - type: dot_f1 value: 75.22376690154258 - type: dot_precision value: 74.4328031958996 - type: dot_recall value: 76.03172158915923 - type: euclidean_accuracy value: 87.48593161796096 - type: euclidean_ap value: 83.09276683624702 - type: euclidean_f1 value: 75.22376690154258 - type: euclidean_precision value: 74.4328031958996 - type: euclidean_recall value: 76.03172158915923 - type: manhattan_accuracy value: 87.49369348391353 - type: manhattan_ap value: 82.94869347657408 - type: manhattan_f1 value: 74.95875695376942 - type: manhattan_precision value: 74.70367821365757 - type: manhattan_recall value: 75.21558361564522 - type: max_accuracy value: 87.49369348391353 - type: max_ap value: 83.09276683624702 - type: max_f1 value: 75.22376690154258 ---