radames/e5-large
119
1---2tags:3- mteb4- feature-extraction5library_name: generic6widget:7- text: "query: how much protein should a female eat"8model-index:9- name: e5-large10 results:11 - task:12 type: Classification13 dataset:14 type: mteb/amazon_counterfactual15 name: MTEB AmazonCounterfactualClassification (en)16 config: en17 split: test18 revision: e8379541af4e31359cca9fbcf4b00f2671dba20519 metrics:20 - type: accuracy21 value: 77.6865671641791122 - type: ap23 value: 41.33689607557358424 - type: f125 value: 71.78856146807526 - task:27 type: Classification28 dataset:29 type: mteb/amazon_polarity30 name: MTEB AmazonPolarityClassification31 config: default32 split: test33 revision: e2d317d38cd51312af73b3d32a06d1a08b44204634 metrics:35 - type: accuracy36 value: 90.0496537 - type: ap38 value: 86.2463700956941839 - type: f140 value: 90.0389667176264541 - task:42 type: Classification43 dataset:44 type: mteb/amazon_reviews_multi45 name: MTEB AmazonReviewsClassification (en)46 config: en47 split: test48 revision: 1399c76144fd37290681b995c656ef9b2e06e26d49 metrics:50 - type: accuracy51 value: 43.01600000000000552 - type: f153 value: 42.194243188018654 - task:55 type: Retrieval56 dataset:57 type: arguana58 name: MTEB ArguAna59 config: default60 split: test61 revision: None62 metrics:63 - type: map_at_164 value: 25.10700000000000365 - type: map_at_1066 value: 40.46467 - type: map_at_10068 value: 41.57799999999999669 - type: map_at_100070 value: 41.58871 - type: map_at_372 value: 35.30173 - type: map_at_574 value: 38.26300000000000575 - type: mrr_at_176 value: 25.60577 - type: mrr_at_1078 value: 40.6479 - type: mrr_at_10080 value: 41.76000000000000581 - type: mrr_at_100082 value: 41.7783 - type: mrr_at_384 value: 35.44300000000000585 - type: mrr_at_586 value: 38.44887 - type: ndcg_at_188 value: 25.10700000000000389 - type: ndcg_at_1090 value: 49.35200000000000491 - type: ndcg_at_10092 value: 53.9850000000000193 - type: ndcg_at_100094 value: 54.20895 - type: ndcg_at_396 value: 38.67197 - type: ndcg_at_598 value: 43.99199 - type: precision_at_1100 value: 25.107000000000003101 - type: precision_at_10102 value: 7.795000000000001103 - type: precision_at_100104 value: 0.979105 - type: precision_at_1000106 value: 0.1107 - type: precision_at_3108 value: 16.145109 - type: precision_at_5110 value: 12.262111 - type: recall_at_1112 value: 25.107000000000003113 - type: recall_at_10114 value: 77.952115 - type: recall_at_100116 value: 97.866117 - type: recall_at_1000118 value: 99.57300000000001119 - type: recall_at_3120 value: 48.435121 - type: recall_at_5122 value: 61.309000000000005123 - task:124 type: Clustering125 dataset:126 type: mteb/arxiv-clustering-p2p127 name: MTEB ArxivClusteringP2P128 config: default129 split: test130 revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d131 metrics:132 - type: v_measure133 value: 46.19278045044154134 - task:135 type: Clustering136 dataset:137 type: mteb/arxiv-clustering-s2s138 name: MTEB ArxivClusteringS2S139 config: default140 split: test141 revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53142 metrics:143 - type: v_measure144 value: 41.37976387757665145 - task:146 type: Reranking147 dataset:148 type: mteb/askubuntudupquestions-reranking149 name: MTEB AskUbuntuDupQuestions150 config: default151 split: test152 revision: 2000358ca161889fa9c082cb41daa8dcfb161a54153 metrics:154 - type: map155 value: 60.07433334608074156 - type: mrr157 value: 73.44347711383723158 - task:159 type: STS160 dataset:161 type: mteb/biosses-sts162 name: MTEB BIOSSES163 config: default164 split: test165 revision: d3fb88f8f02e40887cd149695127462bbcf29b4a166 metrics:167 - type: cos_sim_pearson168 value: 86.4298072183543169 - type: cos_sim_spearman170 value: 84.73144873582848171 - type: euclidean_pearson172 value: 85.15885058870728173 - type: euclidean_spearman174 value: 85.42062106559356175 - type: manhattan_pearson176 value: 84.89409921792054177 - type: manhattan_spearman178 value: 85.31941394024344179 - task:180 type: Classification181 dataset:182 type: mteb/banking77183 name: MTEB Banking77Classification184 config: default185 split: test186 revision: 0fd18e25b25c072e09e0d92ab615fda904d66300187 metrics:188 - type: accuracy189 value: 84.14285714285714190 - type: f1191 value: 84.11674412565644192 - task:193 type: Clustering194 dataset:195 type: mteb/biorxiv-clustering-p2p196 name: MTEB BiorxivClusteringP2P197 config: default198 split: test199 revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40200 metrics:201 - type: v_measure202 value: 37.600076342340785203 - task:204 type: Clustering205 dataset:206 type: mteb/biorxiv-clustering-s2s207 name: MTEB BiorxivClusteringS2S208 config: default209 split: test210 revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908211 metrics:212 - type: v_measure213 value: 35.08861812135148214 - task:215 type: Retrieval216 dataset:217 type: BeIR/cqadupstack218 name: MTEB CQADupstackAndroidRetrieval219 config: default220 split: test221 revision: None222 metrics:223 - type: map_at_1224 value: 32.684000000000005225 - type: map_at_10226 value: 41.675000000000004227 - type: map_at_100228 value: 42.963229 - type: map_at_1000230 value: 43.078231 - type: map_at_3232 value: 38.708999999999996233 - type: map_at_5234 value: 40.316235 - type: mrr_at_1236 value: 39.485237 - type: mrr_at_10238 value: 47.152239 - type: mrr_at_100240 value: 47.96241 - type: mrr_at_1000242 value: 48.010000000000005243 - type: mrr_at_3244 value: 44.754245 - type: mrr_at_5246 value: 46.285247 - type: ndcg_at_1248 value: 39.485249 - type: ndcg_at_10250 value: 46.849000000000004251 - type: ndcg_at_100252 value: 52.059253 - type: ndcg_at_1000254 value: 54.358255 - type: ndcg_at_3256 value: 42.705257 - type: ndcg_at_5258 value: 44.663000000000004259 - type: precision_at_1260 value: 39.485261 - type: precision_at_10262 value: 8.455263 - type: precision_at_100264 value: 1.3379999999999999265 - type: precision_at_1000266 value: 0.178267 - type: precision_at_3268 value: 19.695269 - type: precision_at_5270 value: 13.905999999999999271 - type: recall_at_1272 value: 32.684000000000005273 - type: recall_at_10274 value: 56.227000000000004275 - type: recall_at_100276 value: 78.499277 - type: recall_at_1000278 value: 94.021279 - type: recall_at_3280 value: 44.157999999999994281 - type: recall_at_5282 value: 49.694283 - task:284 type: Retrieval285 dataset:286 type: BeIR/cqadupstack287 name: MTEB CQADupstackEnglishRetrieval288 config: default289 split: test290 revision: None291 metrics:292 - type: map_at_1293 value: 31.875999999999998294 - type: map_at_10295 value: 41.603296 - type: map_at_100297 value: 42.825298 - type: map_at_1000299 value: 42.961300 - type: map_at_3301 value: 38.655302 - type: map_at_5303 value: 40.294999999999995304 - type: mrr_at_1305 value: 40.127306 - type: mrr_at_10307 value: 47.959308 - type: mrr_at_100309 value: 48.59310 - type: mrr_at_1000311 value: 48.634312 - type: mrr_at_3313 value: 45.786314 - type: mrr_at_5315 value: 46.964316 - type: ndcg_at_1317 value: 40.127318 - type: ndcg_at_10319 value: 47.176320 - type: ndcg_at_100321 value: 51.346000000000004322 - type: ndcg_at_1000323 value: 53.502324 - type: ndcg_at_3325 value: 43.139326 - type: ndcg_at_5327 value: 44.883328 - type: precision_at_1329 value: 40.127330 - type: precision_at_10331 value: 8.72332 - type: precision_at_100333 value: 1.387334 - type: precision_at_1000335 value: 0.188336 - type: precision_at_3337 value: 20.637338 - type: precision_at_5339 value: 14.446340 - type: recall_at_1341 value: 31.875999999999998342 - type: recall_at_10343 value: 56.54900000000001344 - type: recall_at_100345 value: 73.939346 - type: recall_at_1000347 value: 87.732348 - type: recall_at_3349 value: 44.326350 - type: recall_at_5351 value: 49.445352 - task:353 type: Retrieval354 dataset:355 type: BeIR/cqadupstack356 name: MTEB CQADupstackGamingRetrieval357 config: default358 split: test359 revision: None360 metrics:361 - type: map_at_1362 value: 41.677363 - type: map_at_10364 value: 52.222365 - type: map_at_100366 value: 53.229000000000006367 - type: map_at_1000368 value: 53.288000000000004369 - type: map_at_3370 value: 49.201371 - type: map_at_5372 value: 51.00599999999999373 - type: mrr_at_1374 value: 47.524375 - type: mrr_at_10376 value: 55.745999999999995377 - type: mrr_at_100378 value: 56.433379 - type: mrr_at_1000380 value: 56.464999999999996381 - type: mrr_at_3382 value: 53.37499999999999383 - type: mrr_at_5384 value: 54.858385 - type: ndcg_at_1386 value: 47.524387 - type: ndcg_at_10388 value: 57.406389 - type: ndcg_at_100390 value: 61.403391 - type: ndcg_at_1000392 value: 62.7393 - type: ndcg_at_3394 value: 52.298395 - type: ndcg_at_5396 value: 55.02397 - type: precision_at_1398 value: 47.524399 - type: precision_at_10400 value: 8.865401 - type: precision_at_100402 value: 1.179403 - type: precision_at_1000404 value: 0.134405 - type: precision_at_3406 value: 22.612407 - type: precision_at_5408 value: 15.461409 - type: recall_at_1410 value: 41.677411 - type: recall_at_10412 value: 69.346413 - type: recall_at_100414 value: 86.344415 - type: recall_at_1000416 value: 95.703417 - type: recall_at_3418 value: 55.789419 - type: recall_at_5420 value: 62.488421 - task:422 type: Retrieval423 dataset:424 type: BeIR/cqadupstack425 name: MTEB CQADupstackGisRetrieval426 config: default427 split: test428 revision: None429 metrics:430 - type: map_at_1431 value: 25.991999999999997432 - type: map_at_10433 value: 32.804434 - type: map_at_100435 value: 33.812999999999995436 - type: map_at_1000437 value: 33.897438 - type: map_at_3439 value: 30.567440 - type: map_at_5441 value: 31.599442 - type: mrr_at_1443 value: 27.797444 - type: mrr_at_10445 value: 34.768446 - type: mrr_at_100447 value: 35.702448 - type: mrr_at_1000449 value: 35.766450 - type: mrr_at_3451 value: 32.637452 - type: mrr_at_5453 value: 33.614454 - type: ndcg_at_1455 value: 27.797456 - type: ndcg_at_10457 value: 36.966458 - type: ndcg_at_100459 value: 41.972460 - type: ndcg_at_1000461 value: 44.139462 - type: ndcg_at_3463 value: 32.547464 - type: ndcg_at_5465 value: 34.258466 - type: precision_at_1467 value: 27.797468 - type: precision_at_10469 value: 5.514470 - type: precision_at_100471 value: 0.8340000000000001472 - type: precision_at_1000473 value: 0.106474 - type: precision_at_3475 value: 13.333476 - type: precision_at_5477 value: 9.04478 - type: recall_at_1479 value: 25.991999999999997480 - type: recall_at_10481 value: 47.941482 - type: recall_at_100483 value: 71.039484 - type: recall_at_1000485 value: 87.32799999999999486 - type: recall_at_3487 value: 36.01488 - type: recall_at_5489 value: 40.056000000000004490 - task:491 type: Retrieval492 dataset:493 type: BeIR/cqadupstack494 name: MTEB CQADupstackMathematicaRetrieval495 config: default496 split: test497 revision: None498 metrics:499 - type: map_at_1500 value: 17.533501 - type: map_at_10502 value: 24.336503 - type: map_at_100504 value: 25.445505 - type: map_at_1000506 value: 25.561507 - type: map_at_3508 value: 22.116509 - type: map_at_5510 value: 23.347511 - type: mrr_at_1512 value: 21.642513 - type: mrr_at_10514 value: 28.910999999999998515 - type: mrr_at_100516 value: 29.836000000000002517 - type: mrr_at_1000518 value: 29.907519 - type: mrr_at_3520 value: 26.638521 - type: mrr_at_5522 value: 27.857523 - type: ndcg_at_1524 value: 21.642525 - type: ndcg_at_10526 value: 28.949527 - type: ndcg_at_100528 value: 34.211000000000006529 - type: ndcg_at_1000530 value: 37.031531 - type: ndcg_at_3532 value: 24.788533 - type: ndcg_at_5534 value: 26.685535 - type: precision_at_1536 value: 21.642537 - type: precision_at_10538 value: 5.137539 - type: precision_at_100540 value: 0.893541 - type: precision_at_1000542 value: 0.127543 - type: precision_at_3544 value: 11.733545 - type: precision_at_5546 value: 8.383000000000001547 - type: recall_at_1548 value: 17.533549 - type: recall_at_10550 value: 38.839551 - type: recall_at_100552 value: 61.458999999999996553 - type: recall_at_1000554 value: 81.58555 - type: recall_at_3556 value: 27.328999999999997557 - type: recall_at_5558 value: 32.168559 - task:560 type: Retrieval561 dataset:562 type: BeIR/cqadupstack563 name: MTEB CQADupstackPhysicsRetrieval564 config: default565 split: test566 revision: None567 metrics:568 - type: map_at_1569 value: 28.126570 - type: map_at_10571 value: 37.872572 - type: map_at_100573 value: 39.229574 - type: map_at_1000575 value: 39.353576 - type: map_at_3577 value: 34.93578 - type: map_at_5579 value: 36.59580 - type: mrr_at_1581 value: 34.071582 - type: mrr_at_10583 value: 43.056584 - type: mrr_at_100585 value: 43.944586 - type: mrr_at_1000587 value: 43.999588 - type: mrr_at_3589 value: 40.536590 - type: mrr_at_5591 value: 42.065999999999995592 - type: ndcg_at_1593 value: 34.071594 - type: ndcg_at_10595 value: 43.503596 - type: ndcg_at_100597 value: 49.120000000000005598 - type: ndcg_at_1000599 value: 51.410999999999994600 - type: ndcg_at_3601 value: 38.767602 - type: ndcg_at_5603 value: 41.075604 - type: precision_at_1605 value: 34.071606 - type: precision_at_10607 value: 7.843999999999999608 - type: precision_at_100609 value: 1.2489999999999999610 - type: precision_at_1000611 value: 0.163612 - type: precision_at_3613 value: 18.223614 - type: precision_at_5615 value: 13.050999999999998616 - type: recall_at_1617 value: 28.126618 - type: recall_at_10619 value: 54.952620 - type: recall_at_100621 value: 78.375622 - type: recall_at_1000623 value: 93.29899999999999624 - type: recall_at_3625 value: 41.714626 - type: recall_at_5627 value: 47.635628 - task:629 type: Retrieval630 dataset:631 type: BeIR/cqadupstack632 name: MTEB CQADupstackProgrammersRetrieval633 config: default634 split: test635 revision: None636 metrics:637 - type: map_at_1638 value: 25.957639 - type: map_at_10640 value: 34.749641 - type: map_at_100642 value: 35.929643 - type: map_at_1000644 value: 36.043645 - type: map_at_3646 value: 31.947647 - type: map_at_5648 value: 33.575649 - type: mrr_at_1650 value: 32.078651 - type: mrr_at_10652 value: 39.844653 - type: mrr_at_100654 value: 40.71655 - type: mrr_at_1000656 value: 40.77657 - type: mrr_at_3658 value: 37.386659 - type: mrr_at_5660 value: 38.83661 - type: ndcg_at_1662 value: 32.078663 - type: ndcg_at_10664 value: 39.97665 - type: ndcg_at_100666 value: 45.254667 - type: ndcg_at_1000668 value: 47.818669 - type: ndcg_at_3670 value: 35.453671 - type: ndcg_at_5672 value: 37.631673 - type: precision_at_1674 value: 32.078675 - type: precision_at_10676 value: 7.158677 - type: precision_at_100678 value: 1.126679 - type: precision_at_1000680 value: 0.153681 - type: precision_at_3682 value: 16.743683 - type: precision_at_5684 value: 11.872685 - type: recall_at_1686 value: 25.957687 - type: recall_at_10688 value: 50.583689 - type: recall_at_100690 value: 73.593691 - type: recall_at_1000692 value: 91.23599999999999693 - type: recall_at_3694 value: 37.651695 - type: recall_at_5696 value: 43.626697 - task:698 type: Retrieval699 dataset:700 type: BeIR/cqadupstack701 name: MTEB CQADupstackRetrieval702 config: default703 split: test704 revision: None705 metrics:706 - type: map_at_1707 value: 27.1505708 - type: map_at_10709 value: 34.844833333333334710 - type: map_at_100711 value: 35.95216666666667712 - type: map_at_1000713 value: 36.06675714 - type: map_at_3715 value: 32.41975716 - type: map_at_5717 value: 33.74233333333333718 - type: mrr_at_1719 value: 31.923666666666662720 - type: mrr_at_10721 value: 38.87983333333334722 - type: mrr_at_100723 value: 39.706250000000004724 - type: mrr_at_1000725 value: 39.76708333333333726 - type: mrr_at_3727 value: 36.72008333333333728 - type: mrr_at_5729 value: 37.96933333333334730 - type: ndcg_at_1731 value: 31.923666666666662732 - type: ndcg_at_10733 value: 39.44258333333334734 - type: ndcg_at_100735 value: 44.31475736 - type: ndcg_at_1000737 value: 46.75738 - type: ndcg_at_3739 value: 35.36299999999999740 - type: ndcg_at_5741 value: 37.242333333333335742 - type: precision_at_1743 value: 31.923666666666662744 - type: precision_at_10745 value: 6.643333333333333746 - type: precision_at_100747 value: 1.0612499999999998748 - type: precision_at_1000749 value: 0.14575750 - type: precision_at_3751 value: 15.875250000000001752 - type: precision_at_5753 value: 11.088916666666664754 - type: recall_at_1755 value: 27.1505756 - type: recall_at_10757 value: 49.06349999999999758 - type: recall_at_100759 value: 70.60841666666666760 - type: recall_at_1000761 value: 87.72049999999999762 - type: recall_at_3763 value: 37.60575000000001764 - type: recall_at_5765 value: 42.511166666666675766 - task:767 type: Retrieval768 dataset:769 type: BeIR/cqadupstack770 name: MTEB CQADupstackStatsRetrieval771 config: default772 split: test773 revision: None774 metrics:775 - type: map_at_1776 value: 25.101000000000003777 - type: map_at_10778 value: 30.147000000000002779 - type: map_at_100780 value: 30.98781 - type: map_at_1000782 value: 31.080000000000002783 - type: map_at_3784 value: 28.571785 - type: map_at_5786 value: 29.319787 - type: mrr_at_1788 value: 27.761000000000003789 - type: mrr_at_10790 value: 32.716791 - type: mrr_at_100792 value: 33.504793 - type: mrr_at_1000794 value: 33.574795 - type: mrr_at_3796 value: 31.135797 - type: mrr_at_5798 value: 32.032799 - type: ndcg_at_1800 value: 27.761000000000003801 - type: ndcg_at_10802 value: 33.358803 - type: ndcg_at_100804 value: 37.569805 - type: ndcg_at_1000806 value: 40.189807 - type: ndcg_at_3808 value: 30.291809 - type: ndcg_at_5810 value: 31.558000000000003811 - type: precision_at_1812 value: 27.761000000000003813 - type: precision_at_10814 value: 4.939815 - type: precision_at_100816 value: 0.759817 - type: precision_at_1000818 value: 0.106819 - type: precision_at_3820 value: 12.577821 - type: precision_at_5822 value: 8.497823 - type: recall_at_1824 value: 25.101000000000003825 - type: recall_at_10826 value: 40.739827 - type: recall_at_100828 value: 60.089999999999996829 - type: recall_at_1000830 value: 79.768831 - type: recall_at_3832 value: 32.16833 - type: recall_at_5834 value: 35.131835 - task:836 type: Retrieval837 dataset:838 type: BeIR/cqadupstack839 name: MTEB CQADupstackTexRetrieval840 config: default841 split: test842 revision: None843 metrics:844 - type: map_at_1845 value: 20.112846 - type: map_at_10847 value: 26.119999999999997848 - type: map_at_100849 value: 27.031850 - type: map_at_1000851 value: 27.150000000000002852 - type: map_at_3853 value: 24.230999999999998854 - type: map_at_5855 value: 25.15856 - type: mrr_at_1857 value: 24.535858 - type: mrr_at_10859 value: 30.198000000000004860 - 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