diff --git "a/README.md" "b/README.md" new file mode 100644--- /dev/null +++ "b/README.md" @@ -0,0 +1,6681 @@ +--- +language: +- multilingual +- af +- am +- ar +- as +- az +- be +- bg +- bn +- br +- bs +- ca +- cs +- cy +- da +- de +- el +- en +- eo +- es +- et +- eu +- fa +- fi +- fr +- fy +- ga +- gd +- gl +- gu +- ha +- he +- hi +- hr +- hu +- hy +- id +- is +- it +- ja +- jv +- ka +- kk +- km +- kn +- ko +- ku +- ky +- la +- lo +- lt +- lv +- mg +- mk +- ml +- mn +- mr +- ms +- my +- ne +- nl +- 'no' +- om +- or +- pa +- pl +- ps +- pt +- ro +- ru +- sa +- sd +- si +- sk +- sl +- so +- sq +- sr +- su +- sv +- sw +- ta +- te +- th +- tl +- tr +- ug +- uk +- ur +- uz +- vi +- xh +- yi +- zh +license: mit +tags: +- mteb +- Sentence Transformers +- sentence-similarity +- sentence-transformers +- mlx +model-index: +- name: multilingual-e5-base + results: + - task: + type: Classification + dataset: + name: MTEB AmazonCounterfactualClassification (en) + type: mteb/amazon_counterfactual + config: en + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 78.97014925373135 + - type: ap + value: 43.69351129103008 + - type: f1 + value: 73.38075030070492 + - task: + type: Classification + dataset: + name: MTEB AmazonCounterfactualClassification (de) + type: mteb/amazon_counterfactual + config: de + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 71.7237687366167 + - type: ap + value: 82.22089859962671 + - type: f1 + value: 69.95532758884401 + - task: + type: Classification + dataset: + name: MTEB AmazonCounterfactualClassification (en-ext) + type: mteb/amazon_counterfactual + config: en-ext + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 79.65517241379312 + - type: ap + value: 28.507918657094738 + - type: f1 + value: 66.84516013726119 + - task: + type: Classification + dataset: + name: MTEB AmazonCounterfactualClassification (ja) + type: mteb/amazon_counterfactual + config: ja + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 73.32976445396146 + - type: ap + value: 20.720481637566014 + - type: f1 + value: 59.78002763416003 + - task: + type: Classification + dataset: + name: MTEB AmazonPolarityClassification + type: mteb/amazon_polarity + config: default + split: test + revision: e2d317d38cd51312af73b3d32a06d1a08b442046 + metrics: + - type: accuracy + value: 90.63775 + - type: ap + value: 87.22277903861716 + - type: f1 + value: 90.60378636386807 + - task: + type: Classification + dataset: + name: MTEB AmazonReviewsClassification (en) + type: mteb/amazon_reviews_multi + config: en + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 44.546 + - type: f1 + value: 44.05666638370923 + - task: + type: Classification + dataset: + name: MTEB AmazonReviewsClassification (de) + type: mteb/amazon_reviews_multi + config: de + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 41.828 + - type: f1 + value: 41.2710255644252 + - task: + type: Classification + dataset: + name: MTEB AmazonReviewsClassification (es) + type: mteb/amazon_reviews_multi + config: es + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 40.534 + - type: f1 + value: 39.820743174270326 + - task: + type: Classification + dataset: + name: MTEB AmazonReviewsClassification (fr) + type: mteb/amazon_reviews_multi + config: fr + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 39.684 + - type: f1 + value: 39.11052682815307 + - task: + type: Classification + dataset: + name: MTEB AmazonReviewsClassification (ja) + type: mteb/amazon_reviews_multi + config: ja + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 37.436 + - type: f1 + value: 37.07082931930871 + - task: + type: Classification + dataset: + name: MTEB AmazonReviewsClassification (zh) + type: mteb/amazon_reviews_multi + config: zh + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 37.226000000000006 + - type: f1 + value: 36.65372077739185 + - task: + type: Retrieval + dataset: + name: MTEB ArguAna + type: arguana + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 22.831000000000003 + - type: map_at_10 + value: 36.42 + - type: map_at_100 + value: 37.699 + - type: map_at_1000 + value: 37.724000000000004 + - type: map_at_3 + value: 32.207 + - type: map_at_5 + value: 34.312 + - type: mrr_at_1 + value: 23.257 + - type: mrr_at_10 + value: 36.574 + - type: mrr_at_100 + value: 37.854 + - type: mrr_at_1000 + value: 37.878 + - type: mrr_at_3 + value: 32.385000000000005 + - type: mrr_at_5 + value: 34.48 + - type: ndcg_at_1 + value: 22.831000000000003 + - type: ndcg_at_10 + value: 44.230000000000004 + - type: ndcg_at_100 + value: 49.974000000000004 + - type: ndcg_at_1000 + value: 50.522999999999996 + - type: ndcg_at_3 + value: 35.363 + - type: ndcg_at_5 + value: 39.164 + - type: precision_at_1 + value: 22.831000000000003 + - type: precision_at_10 + value: 6.935 + - type: precision_at_100 + value: 0.9520000000000001 + - type: precision_at_1000 + value: 0.099 + - type: precision_at_3 + value: 14.841 + - type: precision_at_5 + value: 10.754 + - type: recall_at_1 + value: 22.831000000000003 + - type: recall_at_10 + value: 69.346 + - type: recall_at_100 + value: 95.235 + - type: recall_at_1000 + value: 99.36 + - type: recall_at_3 + value: 44.523 + - type: recall_at_5 + value: 53.769999999999996 + - task: + type: Clustering + dataset: + name: MTEB ArxivClusteringP2P + type: mteb/arxiv-clustering-p2p + config: default + split: test + revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d + metrics: + - type: v_measure + value: 40.27789869854063 + - task: + type: Clustering + dataset: + name: MTEB ArxivClusteringS2S + type: mteb/arxiv-clustering-s2s + config: default + split: test + revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 + metrics: + - type: v_measure + value: 35.41979463347428 + - task: + type: Reranking + dataset: + name: MTEB AskUbuntuDupQuestions + type: mteb/askubuntudupquestions-reranking + config: default + split: test + revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 + metrics: + - type: map + value: 58.22752045109304 + - type: mrr + value: 71.51112430198303 + - task: + type: STS + dataset: + name: MTEB BIOSSES + type: mteb/biosses-sts + config: default + split: test + revision: d3fb88f8f02e40887cd149695127462bbcf29b4a + metrics: + - type: cos_sim_pearson + value: 84.71147646622866 + - type: cos_sim_spearman + value: 85.059167046486 + - type: euclidean_pearson + value: 75.88421613600647 + - type: euclidean_spearman + value: 75.12821787150585 + - type: manhattan_pearson + value: 75.22005646957604 + - type: manhattan_spearman + value: 74.42880434453272 + - task: + type: BitextMining + dataset: + name: MTEB BUCC (de-en) + type: mteb/bucc-bitext-mining + config: de-en + split: test + revision: d51519689f32196a32af33b075a01d0e7c51e252 + metrics: + - type: accuracy + value: 99.23799582463465 + - type: f1 + value: 99.12665274878218 + - type: precision + value: 99.07098121085595 + - type: recall + value: 99.23799582463465 + - task: + type: BitextMining + dataset: + name: MTEB BUCC (fr-en) + type: mteb/bucc-bitext-mining + config: fr-en + split: test + revision: d51519689f32196a32af33b075a01d0e7c51e252 + metrics: + - type: accuracy + value: 97.88685890380806 + - type: f1 + value: 97.59336708489249 + - type: precision + value: 97.44662117543473 + - type: recall + value: 97.88685890380806 + - task: + type: BitextMining + dataset: + name: MTEB BUCC (ru-en) + type: mteb/bucc-bitext-mining + config: ru-en + split: test + revision: d51519689f32196a32af33b075a01d0e7c51e252 + metrics: + - type: accuracy + value: 97.47142362313821 + - type: f1 + value: 97.1989377670015 + - type: precision + value: 97.06384944001847 + - type: recall + value: 97.47142362313821 + - task: + type: BitextMining + dataset: + name: MTEB BUCC (zh-en) + type: mteb/bucc-bitext-mining + config: zh-en + split: test + revision: d51519689f32196a32af33b075a01d0e7c51e252 + metrics: + - type: accuracy + value: 98.4728804634018 + - type: f1 + value: 98.2973494821836 + - type: precision + value: 98.2095839915745 + - type: recall + value: 98.4728804634018 + - task: + type: Classification + dataset: + name: MTEB Banking77Classification + type: mteb/banking77 + config: default + split: test + revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 + metrics: + - type: accuracy + value: 82.74025974025975 + - type: f1 + value: 82.67420447730439 + - task: + type: Clustering + dataset: + name: MTEB BiorxivClusteringP2P + type: mteb/biorxiv-clustering-p2p + config: default + split: test + revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 + metrics: + - type: v_measure + value: 35.0380848063507 + - task: + type: Clustering + dataset: + name: MTEB BiorxivClusteringS2S + type: mteb/biorxiv-clustering-s2s + config: default + split: test + revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 + metrics: + - type: v_measure + value: 29.45956405670166 + - task: + type: Retrieval + dataset: + name: MTEB CQADupstackAndroidRetrieval + type: BeIR/cqadupstack + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 32.122 + - type: map_at_10 + value: 42.03 + - type: map_at_100 + value: 43.364000000000004 + - type: map_at_1000 + value: 43.474000000000004 + - type: map_at_3 + value: 38.804 + - type: map_at_5 + value: 40.585 + - type: mrr_at_1 + value: 39.914 + - type: mrr_at_10 + value: 48.227 + - type: mrr_at_100 + value: 49.018 + - type: mrr_at_1000 + value: 49.064 + - type: mrr_at_3 + value: 45.994 + - type: mrr_at_5 + value: 47.396 + - type: ndcg_at_1 + value: 39.914 + - type: ndcg_at_10 + value: 47.825 + - type: ndcg_at_100 + value: 52.852 + - type: ndcg_at_1000 + value: 54.891 + - type: ndcg_at_3 + value: 43.517 + - type: ndcg_at_5 + value: 45.493 + - type: precision_at_1 + value: 39.914 + - type: precision_at_10 + value: 8.956 + - type: precision_at_100 + value: 1.388 + - type: precision_at_1000 + value: 0.182 + - type: precision_at_3 + value: 20.791999999999998 + - type: precision_at_5 + value: 14.821000000000002 + - type: recall_at_1 + value: 32.122 + - type: recall_at_10 + value: 58.294999999999995 + - type: recall_at_100 + value: 79.726 + - type: recall_at_1000 + value: 93.099 + - type: recall_at_3 + value: 45.017 + - type: recall_at_5 + value: 51.002 + - type: map_at_1 + value: 29.677999999999997 + - type: map_at_10 + value: 38.684000000000005 + - type: map_at_100 + value: 39.812999999999995 + - type: map_at_1000 + value: 39.945 + - type: map_at_3 + value: 35.831 + - type: map_at_5 + value: 37.446 + - type: mrr_at_1 + value: 37.771 + - type: mrr_at_10 + value: 44.936 + - type: mrr_at_100 + value: 45.583 + - type: mrr_at_1000 + value: 45.634 + - type: mrr_at_3 + value: 42.771 + - type: mrr_at_5 + value: 43.994 + - type: ndcg_at_1 + value: 37.771 + - type: ndcg_at_10 + value: 44.059 + - type: ndcg_at_100 + value: 48.192 + - type: ndcg_at_1000 + value: 50.375 + - type: ndcg_at_3 + value: 40.172000000000004 + - type: ndcg_at_5 + value: 41.899 + - type: precision_at_1 + value: 37.771 + - type: precision_at_10 + value: 8.286999999999999 + - type: precision_at_100 + value: 1.322 + - type: precision_at_1000 + value: 0.178 + - type: precision_at_3 + value: 19.406000000000002 + - type: precision_at_5 + value: 13.745 + - type: recall_at_1 + value: 29.677999999999997 + - type: recall_at_10 + value: 53.071 + - type: recall_at_100 + value: 70.812 + - type: recall_at_1000 + value: 84.841 + - type: recall_at_3 + value: 41.016000000000005 + - type: recall_at_5 + value: 46.22 + - type: map_at_1 + value: 42.675000000000004 + - type: map_at_10 + value: 53.93599999999999 + - type: map_at_100 + value: 54.806999999999995 + - type: map_at_1000 + value: 54.867 + - type: map_at_3 + value: 50.934000000000005 + - type: map_at_5 + value: 52.583 + - type: mrr_at_1 + value: 48.339 + - type: mrr_at_10 + value: 57.265 + - type: mrr_at_100 + value: 57.873 + - type: mrr_at_1000 + value: 57.906 + - type: mrr_at_3 + value: 55.193000000000005 + - type: mrr_at_5 + value: 56.303000000000004 + - type: ndcg_at_1 + value: 48.339 + - type: ndcg_at_10 + value: 59.19799999999999 + - type: ndcg_at_100 + value: 62.743 + - type: ndcg_at_1000 + value: 63.99399999999999 + - type: ndcg_at_3 + value: 54.367 + - type: ndcg_at_5 + value: 56.548 + - type: precision_at_1 + value: 48.339 + - type: precision_at_10 + value: 9.216000000000001 + - type: precision_at_100 + value: 1.1809999999999998 + - type: precision_at_1000 + value: 0.134 + - type: precision_at_3 + value: 23.72 + - type: precision_at_5 + value: 16.025 + - type: recall_at_1 + value: 42.675000000000004 + - type: recall_at_10 + value: 71.437 + - type: recall_at_100 + value: 86.803 + - type: recall_at_1000 + value: 95.581 + - type: recall_at_3 + value: 58.434 + - type: recall_at_5 + value: 63.754 + - type: map_at_1 + value: 23.518 + - type: map_at_10 + value: 30.648999999999997 + - type: map_at_100 + value: 31.508999999999997 + - type: map_at_1000 + value: 31.604 + - type: map_at_3 + value: 28.247 + - type: map_at_5 + value: 29.65 + - type: mrr_at_1 + value: 25.650000000000002 + - type: mrr_at_10 + value: 32.771 + - type: mrr_at_100 + value: 33.554 + - type: mrr_at_1000 + value: 33.629999999999995 + - type: mrr_at_3 + value: 30.433 + - type: mrr_at_5 + value: 31.812 + - type: ndcg_at_1 + value: 25.650000000000002 + - type: ndcg_at_10 + value: 34.929 + - type: ndcg_at_100 + value: 39.382 + - type: ndcg_at_1000 + value: 41.913 + - type: ndcg_at_3 + value: 30.292 + - type: ndcg_at_5 + value: 32.629999999999995 + - type: precision_at_1 + value: 25.650000000000002 + - type: precision_at_10 + value: 5.311 + - type: precision_at_100 + value: 0.792 + - type: precision_at_1000 + value: 0.105 + - type: precision_at_3 + value: 12.58 + - type: precision_at_5 + value: 8.994 + - type: recall_at_1 + value: 23.518 + - type: recall_at_10 + value: 46.19 + - type: recall_at_100 + value: 67.123 + - type: recall_at_1000 + value: 86.442 + - type: recall_at_3 + value: 33.678000000000004 + - type: recall_at_5 + value: 39.244 + - type: map_at_1 + value: 15.891 + - type: map_at_10 + value: 22.464000000000002 + - type: map_at_100 + value: 23.483 + - type: map_at_1000 + value: 23.613 + - type: map_at_3 + value: 20.080000000000002 + - type: map_at_5 + value: 21.526 + - type: mrr_at_1 + value: 20.025000000000002 + - type: mrr_at_10 + value: 26.712999999999997 + - type: mrr_at_100 + value: 27.650000000000002 + - type: mrr_at_1000 + value: 27.737000000000002 + - type: mrr_at_3 + value: 24.274 + - type: mrr_at_5 + value: 25.711000000000002 + - type: ndcg_at_1 + value: 20.025000000000002 + - type: ndcg_at_10 + value: 27.028999999999996 + - type: ndcg_at_100 + value: 32.064 + - type: ndcg_at_1000 + value: 35.188 + - type: ndcg_at_3 + value: 22.512999999999998 + - type: ndcg_at_5 + value: 24.89 + - type: precision_at_1 + value: 20.025000000000002 + - type: precision_at_10 + value: 4.776 + - type: precision_at_100 + value: 0.8500000000000001 + - type: precision_at_1000 + value: 0.125 + - type: precision_at_3 + value: 10.531 + - type: precision_at_5 + value: 7.811 + - type: recall_at_1 + value: 15.891 + - type: recall_at_10 + value: 37.261 + - type: recall_at_100 + value: 59.12 + - type: recall_at_1000 + value: 81.356 + - type: recall_at_3 + value: 24.741 + - type: recall_at_5 + value: 30.753999999999998 + - type: map_at_1 + value: 27.544 + - type: map_at_10 + value: 36.283 + - type: map_at_100 + value: 37.467 + - type: map_at_1000 + value: 37.574000000000005 + - type: map_at_3 + value: 33.528999999999996 + - type: map_at_5 + value: 35.028999999999996 + - type: mrr_at_1 + value: 34.166999999999994 + - type: mrr_at_10 + value: 41.866 + - type: mrr_at_100 + value: 42.666 + - type: mrr_at_1000 + value: 42.716 + - type: mrr_at_3 + value: 39.541 + - type: mrr_at_5 + value: 40.768 + - type: ndcg_at_1 + value: 34.166999999999994 + - type: ndcg_at_10 + value: 41.577 + - type: ndcg_at_100 + value: 46.687 + - type: ndcg_at_1000 + value: 48.967 + - type: ndcg_at_3 + value: 37.177 + - type: ndcg_at_5 + value: 39.097 + - type: precision_at_1 + value: 34.166999999999994 + - type: precision_at_10 + value: 7.420999999999999 + - type: precision_at_100 + value: 1.165 + - type: precision_at_1000 + value: 0.154 + - type: precision_at_3 + value: 17.291999999999998 + - type: precision_at_5 + value: 12.166 + - type: recall_at_1 + value: 27.544 + - type: recall_at_10 + value: 51.99399999999999 + - type: recall_at_100 + value: 73.738 + - type: recall_at_1000 + value: 89.33 + - type: recall_at_3 + value: 39.179 + - type: recall_at_5 + value: 44.385999999999996 + - type: map_at_1 + value: 26.661 + - type: map_at_10 + value: 35.475 + - type: map_at_100 + value: 36.626999999999995 + - type: map_at_1000 + value: 36.741 + - type: map_at_3 + value: 32.818000000000005 + - type: map_at_5 + value: 34.397 + - type: mrr_at_1 + value: 32.647999999999996 + - type: mrr_at_10 + value: 40.784 + - type: mrr_at_100 + value: 41.602 + - type: mrr_at_1000 + value: 41.661 + - type: mrr_at_3 + value: 38.68 + - type: mrr_at_5 + value: 39.838 + - type: ndcg_at_1 + value: 32.647999999999996 + - type: ndcg_at_10 + value: 40.697 + - type: ndcg_at_100 + value: 45.799 + - type: ndcg_at_1000 + value: 48.235 + - type: ndcg_at_3 + value: 36.516 + - type: ndcg_at_5 + value: 38.515 + - type: precision_at_1 + value: 32.647999999999996 + - type: precision_at_10 + value: 7.202999999999999 + - type: precision_at_100 + value: 1.1360000000000001 + - type: precision_at_1000 + value: 0.151 + - type: precision_at_3 + value: 17.314 + - type: precision_at_5 + value: 12.145999999999999 + - type: recall_at_1 + value: 26.661 + - type: recall_at_10 + value: 50.995000000000005 + - type: recall_at_100 + value: 73.065 + - type: recall_at_1000 + value: 89.781 + - type: recall_at_3 + value: 39.073 + - type: recall_at_5 + value: 44.395 + - type: map_at_1 + value: 25.946583333333333 + - type: map_at_10 + value: 33.79725 + - type: map_at_100 + value: 34.86408333333333 + - type: map_at_1000 + value: 34.9795 + - type: map_at_3 + value: 31.259999999999998 + - type: map_at_5 + value: 32.71541666666666 + - type: mrr_at_1 + value: 30.863749999999996 + - type: mrr_at_10 + value: 37.99183333333333 + - type: mrr_at_100 + value: 38.790499999999994 + - type: mrr_at_1000 + value: 38.85575000000001 + - type: mrr_at_3 + value: 35.82083333333333 + - type: mrr_at_5 + value: 37.07533333333333 + - type: ndcg_at_1 + value: 30.863749999999996 + - type: ndcg_at_10 + value: 38.52141666666667 + - type: ndcg_at_100 + value: 43.17966666666667 + - type: ndcg_at_1000 + value: 45.64608333333333 + - type: ndcg_at_3 + value: 34.333000000000006 + - type: ndcg_at_5 + value: 36.34975 + - type: precision_at_1 + value: 30.863749999999996 + - type: precision_at_10 + value: 6.598999999999999 + - type: precision_at_100 + value: 1.0502500000000001 + - type: precision_at_1000 + value: 0.14400000000000002 + - type: precision_at_3 + value: 15.557583333333334 + - type: precision_at_5 + value: 11.020000000000001 + - type: recall_at_1 + value: 25.946583333333333 + - type: recall_at_10 + value: 48.36991666666666 + - type: recall_at_100 + value: 69.02408333333334 + - type: recall_at_1000 + value: 86.43858333333331 + - type: recall_at_3 + value: 36.4965 + - type: recall_at_5 + value: 41.76258333333334 + - type: map_at_1 + value: 22.431 + - type: map_at_10 + value: 28.889 + - type: map_at_100 + value: 29.642000000000003 + - type: map_at_1000 + value: 29.742 + - type: map_at_3 + value: 26.998 + - type: map_at_5 + value: 28.172000000000004 + - type: mrr_at_1 + value: 25.307000000000002 + - type: mrr_at_10 + value: 31.763 + - type: mrr_at_100 + value: 32.443 + - type: mrr_at_1000 + value: 32.531 + - type: mrr_at_3 + value: 29.959000000000003 + - type: mrr_at_5 + value: 31.063000000000002 + - type: ndcg_at_1 + value: 25.307000000000002 + - type: ndcg_at_10 + value: 32.586999999999996 + - type: ndcg_at_100 + value: 36.5 + - type: ndcg_at_1000 + value: 39.133 + - type: ndcg_at_3 + value: 29.25 + - type: ndcg_at_5 + value: 31.023 + - type: precision_at_1 + value: 25.307000000000002 + - type: precision_at_10 + value: 4.954 + - type: precision_at_100 + value: 0.747 + - type: precision_at_1000 + value: 0.104 + - type: precision_at_3 + value: 12.577 + - type: precision_at_5 + value: 8.741999999999999 + - type: recall_at_1 + value: 22.431 + - type: recall_at_10 + value: 41.134 + - type: recall_at_100 + value: 59.28600000000001 + - type: recall_at_1000 + value: 78.857 + - type: recall_at_3 + value: 31.926 + - type: recall_at_5 + value: 36.335 + - type: map_at_1 + value: 17.586 + - type: map_at_10 + value: 23.304 + - type: map_at_100 + value: 24.159 + - type: map_at_1000 + value: 24.281 + - type: map_at_3 + value: 21.316 + - type: map_at_5 + value: 22.383 + - type: mrr_at_1 + value: 21.645 + - type: mrr_at_10 + value: 27.365000000000002 + - type: mrr_at_100 + value: 28.108 + - type: mrr_at_1000 + value: 28.192 + - type: mrr_at_3 + value: 25.482 + - type: mrr_at_5 + value: 26.479999999999997 + - type: ndcg_at_1 + value: 21.645 + - type: ndcg_at_10 + value: 27.306 + - type: ndcg_at_100 + value: 31.496000000000002 + - type: ndcg_at_1000 + value: 34.53 + - type: ndcg_at_3 + value: 23.73 + - type: ndcg_at_5 + value: 25.294 + - type: precision_at_1 + value: 21.645 + - type: precision_at_10 + value: 4.797 + - type: precision_at_100 + value: 0.8059999999999999 + - type: precision_at_1000 + value: 0.121 + - type: precision_at_3 + value: 10.850999999999999 + - type: precision_at_5 + value: 7.736 + - type: recall_at_1 + value: 17.586 + - type: recall_at_10 + value: 35.481 + - type: recall_at_100 + value: 54.534000000000006 + - type: recall_at_1000 + value: 76.456 + - type: recall_at_3 + value: 25.335 + - type: recall_at_5 + value: 29.473 + - type: map_at_1 + value: 25.095 + - type: map_at_10 + value: 32.374 + - type: map_at_100 + value: 33.537 + - type: map_at_1000 + value: 33.634 + - type: map_at_3 + value: 30.089 + - type: map_at_5 + value: 31.433 + - type: mrr_at_1 + value: 29.198 + - type: mrr_at_10 + value: 36.01 + - type: mrr_at_100 + value: 37.022 + - type: mrr_at_1000 + value: 37.083 + - type: mrr_at_3 + value: 33.94 + - type: mrr_at_5 + value: 35.148 + - type: ndcg_at_1 + value: 29.198 + - type: ndcg_at_10 + value: 36.729 + - type: ndcg_at_100 + value: 42.114000000000004 + - type: ndcg_at_1000 + value: 44.592 + - type: ndcg_at_3 + value: 32.644 + - type: ndcg_at_5 + value: 34.652 + - type: precision_at_1 + value: 29.198 + - type: precision_at_10 + value: 5.970000000000001 + - type: precision_at_100 + value: 0.967 + - type: precision_at_1000 + value: 0.129 + - type: precision_at_3 + value: 14.396999999999998 + - type: precision_at_5 + value: 10.093 + - type: recall_at_1 + value: 25.095 + - type: recall_at_10 + value: 46.392 + - type: recall_at_100 + value: 69.706 + - type: recall_at_1000 + value: 87.738 + - type: recall_at_3 + value: 35.303000000000004 + - type: recall_at_5 + value: 40.441 + - type: map_at_1 + value: 26.857999999999997 + - type: map_at_10 + value: 34.066 + - type: map_at_100 + value: 35.671 + - type: map_at_1000 + value: 35.881 + - type: map_at_3 + value: 31.304 + - type: map_at_5 + value: 32.885 + - type: mrr_at_1 + value: 32.411 + - type: mrr_at_10 + value: 38.987 + - type: mrr_at_100 + value: 39.894 + - type: mrr_at_1000 + value: 39.959 + - type: mrr_at_3 + value: 36.626999999999995 + - type: mrr_at_5 + value: 38.011 + - type: ndcg_at_1 + value: 32.411 + - type: ndcg_at_10 + value: 39.208 + - type: ndcg_at_100 + value: 44.626 + - type: ndcg_at_1000 + value: 47.43 + - type: ndcg_at_3 + value: 35.091 + - type: ndcg_at_5 + value: 37.119 + - type: precision_at_1 + value: 32.411 + - type: precision_at_10 + value: 7.51 + - type: precision_at_100 + value: 1.486 + - type: precision_at_1000 + value: 0.234 + - type: precision_at_3 + value: 16.14 + - type: precision_at_5 + value: 11.976 + - type: recall_at_1 + value: 26.857999999999997 + - type: recall_at_10 + value: 47.407 + - type: recall_at_100 + value: 72.236 + - type: recall_at_1000 + value: 90.77 + - type: recall_at_3 + value: 35.125 + - type: recall_at_5 + value: 40.522999999999996 + - type: map_at_1 + value: 21.3 + - type: map_at_10 + value: 27.412999999999997 + - type: map_at_100 + value: 28.29 + - type: map_at_1000 + value: 28.398 + - type: map_at_3 + value: 25.169999999999998 + - type: map_at_5 + value: 26.496 + - type: mrr_at_1 + value: 23.29 + - type: mrr_at_10 + value: 29.215000000000003 + - type: mrr_at_100 + value: 30.073 + - type: mrr_at_1000 + value: 30.156 + - type: mrr_at_3 + value: 26.956000000000003 + - type: mrr_at_5 + value: 28.38 + - type: ndcg_at_1 + value: 23.29 + - type: ndcg_at_10 + value: 31.113000000000003 + - type: ndcg_at_100 + value: 35.701 + - type: ndcg_at_1000 + value: 38.505 + - type: ndcg_at_3 + value: 26.727 + - type: ndcg_at_5 + value: 29.037000000000003 + - type: precision_at_1 + value: 23.29 + - type: precision_at_10 + value: 4.787 + - type: precision_at_100 + value: 0.763 + - type: precision_at_1000 + value: 0.11100000000000002 + - type: precision_at_3 + value: 11.091 + - type: precision_at_5 + value: 7.985 + - type: recall_at_1 + value: 21.3 + - type: recall_at_10 + value: 40.782000000000004 + - type: recall_at_100 + value: 62.13999999999999 + - type: recall_at_1000 + value: 83.012 + - type: recall_at_3 + value: 29.131 + - type: recall_at_5 + value: 34.624 + - task: + type: Retrieval + dataset: + name: MTEB ClimateFEVER + type: climate-fever + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 9.631 + - type: map_at_10 + value: 16.634999999999998 + - type: map_at_100 + value: 18.23 + - type: map_at_1000 + value: 18.419 + - type: map_at_3 + value: 13.66 + - type: map_at_5 + value: 15.173 + - type: mrr_at_1 + value: 21.368000000000002 + - type: mrr_at_10 + value: 31.56 + - type: mrr_at_100 + value: 32.58 + - type: mrr_at_1000 + value: 32.633 + - type: mrr_at_3 + value: 28.241 + - type: mrr_at_5 + value: 30.225 + - type: ndcg_at_1 + value: 21.368000000000002 + - type: ndcg_at_10 + value: 23.855999999999998 + - type: ndcg_at_100 + value: 30.686999999999998 + - type: ndcg_at_1000 + value: 34.327000000000005 + - type: ndcg_at_3 + value: 18.781 + - type: ndcg_at_5 + value: 20.73 + - type: precision_at_1 + value: 21.368000000000002 + - type: precision_at_10 + value: 7.564 + - type: precision_at_100 + value: 1.496 + - type: precision_at_1000 + value: 0.217 + - type: precision_at_3 + value: 13.876 + - type: precision_at_5 + value: 11.062 + - type: recall_at_1 + value: 9.631 + - type: recall_at_10 + value: 29.517 + - type: recall_at_100 + value: 53.452 + - type: recall_at_1000 + value: 74.115 + - type: recall_at_3 + value: 17.605999999999998 + - type: recall_at_5 + value: 22.505 + - task: + type: Retrieval + dataset: + name: MTEB DBPedia + type: dbpedia-entity + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 8.885 + - type: map_at_10 + value: 18.798000000000002 + - type: map_at_100 + value: 26.316 + - type: map_at_1000 + value: 27.869 + - type: map_at_3 + value: 13.719000000000001 + - type: map_at_5 + value: 15.716 + - type: mrr_at_1 + value: 66 + - type: mrr_at_10 + value: 74.263 + - type: mrr_at_100 + value: 74.519 + - type: mrr_at_1000 + value: 74.531 + - type: mrr_at_3 + value: 72.458 + - type: mrr_at_5 + value: 73.321 + - type: ndcg_at_1 + value: 53.87499999999999 + - type: ndcg_at_10 + value: 40.355999999999995 + - type: ndcg_at_100 + value: 44.366 + - type: ndcg_at_1000 + value: 51.771 + - type: ndcg_at_3 + value: 45.195 + - type: ndcg_at_5 + value: 42.187000000000005 + - type: precision_at_1 + value: 66 + - type: precision_at_10 + value: 31.75 + - type: precision_at_100 + value: 10.11 + - type: precision_at_1000 + value: 1.9800000000000002 + - type: precision_at_3 + value: 48.167 + - type: precision_at_5 + value: 40.050000000000004 + - type: recall_at_1 + value: 8.885 + - type: recall_at_10 + value: 24.471999999999998 + - type: recall_at_100 + value: 49.669000000000004 + - type: recall_at_1000 + value: 73.383 + - type: recall_at_3 + value: 14.872 + - type: recall_at_5 + value: 18.262999999999998 + - task: + type: Classification + dataset: + name: MTEB EmotionClassification + type: mteb/emotion + config: default + split: test + revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 + metrics: + - type: accuracy + value: 45.18 + - type: f1 + value: 40.26878691789978 + - task: + type: Retrieval + dataset: + name: MTEB FEVER + type: fever + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 62.751999999999995 + - type: map_at_10 + value: 74.131 + - type: map_at_100 + value: 74.407 + - type: map_at_1000 + value: 74.423 + - type: map_at_3 + value: 72.329 + - type: map_at_5 + value: 73.555 + - type: mrr_at_1 + value: 67.282 + - type: mrr_at_10 + value: 78.292 + - type: mrr_at_100 + value: 78.455 + - type: mrr_at_1000 + value: 78.458 + - type: mrr_at_3 + value: 76.755 + - type: mrr_at_5 + value: 77.839 + - type: ndcg_at_1 + value: 67.282 + - type: ndcg_at_10 + value: 79.443 + - type: ndcg_at_100 + value: 80.529 + - type: ndcg_at_1000 + value: 80.812 + - type: ndcg_at_3 + value: 76.281 + - type: ndcg_at_5 + value: 78.235 + - type: precision_at_1 + value: 67.282 + - type: precision_at_10 + value: 10.078 + - type: precision_at_100 + value: 1.082 + - type: precision_at_1000 + value: 0.11199999999999999 + - type: precision_at_3 + value: 30.178 + - type: precision_at_5 + value: 19.232 + - type: recall_at_1 + value: 62.751999999999995 + - type: recall_at_10 + value: 91.521 + - type: recall_at_100 + value: 95.997 + - type: recall_at_1000 + value: 97.775 + - type: recall_at_3 + value: 83.131 + - type: recall_at_5 + value: 87.93299999999999 + - task: + type: Retrieval + dataset: + name: MTEB FiQA2018 + type: fiqa + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 18.861 + - type: map_at_10 + value: 30.252000000000002 + - type: map_at_100 + value: 32.082 + - type: map_at_1000 + value: 32.261 + - type: map_at_3 + value: 25.909 + - type: map_at_5 + value: 28.296 + - type: mrr_at_1 + value: 37.346000000000004 + - type: mrr_at_10 + value: 45.802 + - type: mrr_at_100 + value: 46.611999999999995 + - type: mrr_at_1000 + value: 46.659 + - type: mrr_at_3 + value: 43.056 + - type: mrr_at_5 + value: 44.637 + - type: ndcg_at_1 + value: 37.346000000000004 + - type: ndcg_at_10 + value: 38.169 + - type: ndcg_at_100 + value: 44.864 + - type: ndcg_at_1000 + value: 47.974 + - type: ndcg_at_3 + value: 33.619 + - type: ndcg_at_5 + value: 35.317 + - type: precision_at_1 + value: 37.346000000000004 + - type: precision_at_10 + value: 10.693999999999999 + - type: precision_at_100 + value: 1.775 + - type: precision_at_1000 + value: 0.231 + - type: precision_at_3 + value: 22.325 + - type: precision_at_5 + value: 16.852 + - type: recall_at_1 + value: 18.861 + - type: recall_at_10 + value: 45.672000000000004 + - type: recall_at_100 + value: 70.60499999999999 + - type: recall_at_1000 + value: 89.216 + - type: recall_at_3 + value: 30.361 + - type: recall_at_5 + value: 36.998999999999995 + - task: + type: Retrieval + dataset: + name: MTEB HotpotQA + type: hotpotqa + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 37.852999999999994 + - type: map_at_10 + value: 59.961 + - type: map_at_100 + value: 60.78 + - type: map_at_1000 + value: 60.843 + - type: map_at_3 + value: 56.39999999999999 + - type: map_at_5 + value: 58.646 + - type: mrr_at_1 + value: 75.70599999999999 + - type: mrr_at_10 + value: 82.321 + - type: mrr_at_100 + value: 82.516 + - type: mrr_at_1000 + value: 82.525 + - type: mrr_at_3 + value: 81.317 + - type: mrr_at_5 + value: 81.922 + - type: ndcg_at_1 + value: 75.70599999999999 + - type: ndcg_at_10 + value: 68.557 + - type: ndcg_at_100 + value: 71.485 + - type: ndcg_at_1000 + value: 72.71600000000001 + - type: ndcg_at_3 + value: 63.524 + - type: ndcg_at_5 + value: 66.338 + - type: precision_at_1 + value: 75.70599999999999 + - type: precision_at_10 + value: 14.463000000000001 + - type: precision_at_100 + value: 1.677 + - type: precision_at_1000 + value: 0.184 + - type: precision_at_3 + value: 40.806 + - type: precision_at_5 + value: 26.709 + - type: recall_at_1 + value: 37.852999999999994 + - type: recall_at_10 + value: 72.316 + - type: recall_at_100 + value: 83.842 + - type: recall_at_1000 + value: 91.999 + - type: recall_at_3 + value: 61.209 + - type: recall_at_5 + value: 66.77199999999999 + - task: + type: Classification + dataset: + name: MTEB ImdbClassification + type: mteb/imdb + config: default + split: test + revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 + metrics: + - type: accuracy + value: 85.46039999999999 + - type: ap + value: 79.9812521351881 + - type: f1 + value: 85.31722909702084 + - task: + type: Retrieval + dataset: + name: MTEB MSMARCO + type: msmarco + config: default + split: dev + revision: None + metrics: + - type: map_at_1 + value: 22.704 + - type: map_at_10 + value: 35.329 + - type: map_at_100 + value: 36.494 + - type: map_at_1000 + value: 36.541000000000004 + - type: map_at_3 + value: 31.476 + - type: map_at_5 + value: 33.731 + - type: mrr_at_1 + value: 23.294999999999998 + - type: mrr_at_10 + value: 35.859 + - type: mrr_at_100 + value: 36.968 + - type: mrr_at_1000 + value: 37.008 + - type: mrr_at_3 + value: 32.085 + - type: mrr_at_5 + value: 34.299 + - type: ndcg_at_1 + value: 23.324 + - type: ndcg_at_10 + value: 42.274 + - type: ndcg_at_100 + value: 47.839999999999996 + - type: ndcg_at_1000 + value: 48.971 + - type: ndcg_at_3 + value: 34.454 + - type: ndcg_at_5 + value: 38.464 + - type: precision_at_1 + value: 23.324 + - type: precision_at_10 + value: 6.648 + - type: precision_at_100 + value: 0.9440000000000001 + - type: precision_at_1000 + value: 0.104 + - type: precision_at_3 + value: 14.674999999999999 + - type: precision_at_5 + value: 10.850999999999999 + - type: recall_at_1 + value: 22.704 + - type: recall_at_10 + value: 63.660000000000004 + - type: recall_at_100 + value: 89.29899999999999 + - type: recall_at_1000 + value: 97.88900000000001 + - type: recall_at_3 + value: 42.441 + - type: recall_at_5 + value: 52.04 + - task: + type: Classification + dataset: + name: MTEB MTOPDomainClassification (en) + type: mteb/mtop_domain + config: en + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 93.1326949384405 + - type: f1 + value: 92.89743579612082 + - task: + type: Classification + dataset: + name: MTEB MTOPDomainClassification (de) + type: mteb/mtop_domain + config: de + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 89.62524654832347 + - type: f1 + value: 88.65106082263151 + - task: + type: Classification + dataset: + name: MTEB MTOPDomainClassification (es) + type: mteb/mtop_domain + config: es + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 90.59039359573046 + - type: f1 + value: 90.31532892105662 + - task: + type: Classification + dataset: + name: MTEB MTOPDomainClassification (fr) + type: mteb/mtop_domain + config: fr + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 86.21046038208581 + - type: f1 + value: 86.41459529813113 + - task: + type: Classification + dataset: + name: MTEB MTOPDomainClassification (hi) + type: mteb/mtop_domain + config: hi + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 87.3180351380423 + - type: f1 + value: 86.71383078226444 + - task: + type: Classification + dataset: + name: MTEB MTOPDomainClassification (th) + type: mteb/mtop_domain + config: th + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 86.24231464737792 + - type: f1 + value: 86.31845567592403 + - task: + type: Classification + dataset: + name: MTEB MTOPIntentClassification (en) + type: mteb/mtop_intent + config: en + split: test + revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + metrics: + - 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task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (it) + type: mteb/amazon_massive_scenario + config: it + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 72.320107599193 + - type: f1 + value: 72.19836409602924 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (ja) + type: mteb/amazon_massive_scenario + config: ja + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 74.65366509751176 + - type: f1 + value: 74.55188288799579 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (jv) + type: mteb/amazon_massive_scenario + config: jv + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 59.694014794889036 + - type: f1 + value: 58.11353311721067 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (ka) + type: mteb/amazon_massive_scenario + config: ka + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - 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task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (lv) + type: mteb/amazon_massive_scenario + config: lv + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 62.81439139206455 + - type: f1 + value: 62.06735559105593 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (ml) + type: mteb/amazon_massive_scenario + config: ml + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 68.04303967720242 + - type: f1 + value: 66.68298851670133 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (mn) + type: mteb/amazon_massive_scenario + config: mn + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 61.43913920645595 + - type: f1 + value: 60.25605977560783 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (ms) + type: mteb/amazon_massive_scenario + config: ms + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - 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task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (pl) + type: mteb/amazon_massive_scenario + config: pl + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 70.59515803631471 + - type: f1 + value: 70.05040128099003 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (pt) + type: mteb/amazon_massive_scenario + config: pt + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 70.83389374579691 + - type: f1 + value: 70.84877936562735 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (ro) + type: mteb/amazon_massive_scenario + config: ro + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 69.18628110289173 + - type: f1 + value: 68.97232927921841 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (ru) + type: mteb/amazon_massive_scenario + config: ru + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - 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task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (sw) + type: mteb/amazon_massive_scenario + config: sw + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 59.88567585743107 + - type: f1 + value: 58.3073765932569 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (ta) + type: mteb/amazon_massive_scenario + config: ta + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 62.38399462004034 + - type: f1 + value: 60.82139544252606 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (te) + type: mteb/amazon_massive_scenario + config: te + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 62.58574310692671 + - type: f1 + value: 60.71443370385374 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (th) + type: mteb/amazon_massive_scenario + config: th + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 71.61398789509079 + - type: f1 + value: 70.99761812049401 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (tl) + type: mteb/amazon_massive_scenario + config: tl + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 62.73705447209146 + - type: f1 + value: 61.680849331794796 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (tr) + type: mteb/amazon_massive_scenario + config: tr + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 71.66778749159381 + - type: f1 + value: 71.17320646080115 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (ur) + type: mteb/amazon_massive_scenario + config: ur + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 64.640215198386 + - type: f1 + value: 63.301805157015444 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (vi) + type: mteb/amazon_massive_scenario + config: vi + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 70.00672494956288 + - type: f1 + value: 70.26005548582106 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (zh-CN) + type: mteb/amazon_massive_scenario + config: zh-CN + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 75.42030934767989 + - type: f1 + value: 75.2074842882598 + - task: + type: Classification + dataset: + name: MTEB MassiveScenarioClassification (zh-TW) + type: mteb/amazon_massive_scenario + config: zh-TW + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 70.69266980497646 + - type: f1 + value: 70.94103167391192 + - task: + type: Clustering + dataset: + name: MTEB MedrxivClusteringP2P + type: mteb/medrxiv-clustering-p2p + config: default + split: test + revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 + metrics: + - type: v_measure + value: 28.91697191169135 + - task: + type: Clustering + dataset: + name: MTEB MedrxivClusteringS2S + type: mteb/medrxiv-clustering-s2s + config: default + split: test + revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 + metrics: + - type: v_measure + value: 28.434000079573313 + - task: + type: Reranking + dataset: + name: MTEB MindSmallReranking + type: mteb/mind_small + config: default + split: test + revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 + metrics: + - type: map + value: 30.96683513343383 + - type: mrr + value: 31.967364078714834 + - task: + type: Retrieval + dataset: + name: MTEB NFCorpus + type: nfcorpus + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 5.5280000000000005 + - type: map_at_10 + value: 11.793 + - type: map_at_100 + value: 14.496999999999998 + - type: map_at_1000 + value: 15.783 + - type: map_at_3 + value: 8.838 + - type: map_at_5 + value: 10.07 + - type: mrr_at_1 + value: 43.653 + - type: mrr_at_10 + value: 51.531000000000006 + - 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type: map_at_1 + value: 37.041000000000004 + - type: map_at_10 + value: 52.664 + - type: map_at_100 + value: 53.477 + - type: map_at_1000 + value: 53.505 + - type: map_at_3 + value: 48.510999999999996 + - type: map_at_5 + value: 51.036 + - type: mrr_at_1 + value: 41.338 + - type: mrr_at_10 + value: 55.071000000000005 + - type: mrr_at_100 + value: 55.672 + - type: mrr_at_1000 + value: 55.689 + - type: mrr_at_3 + value: 51.82 + - type: mrr_at_5 + value: 53.852 + - type: ndcg_at_1 + value: 41.338 + - type: ndcg_at_10 + value: 60.01800000000001 + - type: ndcg_at_100 + value: 63.409000000000006 + - type: ndcg_at_1000 + value: 64.017 + - type: ndcg_at_3 + value: 52.44799999999999 + - type: ndcg_at_5 + value: 56.571000000000005 + - type: precision_at_1 + value: 41.338 + - type: precision_at_10 + value: 9.531 + - type: precision_at_100 + value: 1.145 + - type: precision_at_1000 + value: 0.12 + - type: precision_at_3 + value: 23.416 + - type: precision_at_5 + value: 16.46 + - type: recall_at_1 + value: 37.041000000000004 + - type: recall_at_10 + value: 79.76299999999999 + - type: recall_at_100 + value: 94.39 + - type: recall_at_1000 + value: 98.851 + - type: recall_at_3 + value: 60.465 + - type: recall_at_5 + value: 69.906 + - task: + type: Retrieval + dataset: + name: MTEB QuoraRetrieval + type: quora + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 69.952 + - type: map_at_10 + value: 83.758 + - type: map_at_100 + value: 84.406 + - type: map_at_1000 + value: 84.425 + - type: map_at_3 + value: 80.839 + - type: map_at_5 + value: 82.646 + - type: mrr_at_1 + value: 80.62 + - type: mrr_at_10 + value: 86.947 + - type: mrr_at_100 + value: 87.063 + - type: mrr_at_1000 + value: 87.064 + - type: mrr_at_3 + value: 85.96000000000001 + - type: mrr_at_5 + value: 86.619 + - type: ndcg_at_1 + value: 80.63 + - type: ndcg_at_10 + value: 87.64800000000001 + - type: ndcg_at_100 + value: 88.929 + - type: ndcg_at_1000 + value: 89.054 + - type: ndcg_at_3 + value: 84.765 + - type: ndcg_at_5 + value: 86.291 + - type: precision_at_1 + value: 80.63 + - type: precision_at_10 + value: 13.314 + - type: precision_at_100 + value: 1.525 + - type: precision_at_1000 + value: 0.157 + - type: precision_at_3 + value: 37.1 + - type: precision_at_5 + value: 24.372 + - type: recall_at_1 + value: 69.952 + - type: recall_at_10 + value: 94.955 + - type: recall_at_100 + value: 99.38 + - type: recall_at_1000 + value: 99.96000000000001 + - type: recall_at_3 + value: 86.60600000000001 + - type: recall_at_5 + value: 90.997 + - task: + type: Clustering + dataset: + name: MTEB RedditClustering + type: mteb/reddit-clustering + config: default + split: test + revision: 24640382cdbf8abc73003fb0fa6d111a705499eb + metrics: + - type: v_measure + value: 42.41329517878427 + - task: + type: Clustering + dataset: + name: MTEB RedditClusteringP2P + type: mteb/reddit-clustering-p2p + config: default + split: test + revision: 282350215ef01743dc01b456c7f5241fa8937f16 + metrics: + - type: v_measure + value: 55.171278362748666 + - task: + type: Retrieval + dataset: + name: MTEB SCIDOCS + type: scidocs + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 4.213 + - type: map_at_10 + value: 9.895 + - type: map_at_100 + value: 11.776 + - type: map_at_1000 + value: 12.084 + - type: map_at_3 + value: 7.2669999999999995 + - type: map_at_5 + value: 8.620999999999999 + - type: mrr_at_1 + value: 20.8 + - type: mrr_at_10 + value: 31.112000000000002 + - type: mrr_at_100 + value: 32.274 + - type: mrr_at_1000 + value: 32.35 + - type: mrr_at_3 + value: 28.133000000000003 + - type: mrr_at_5 + value: 29.892999999999997 + - type: ndcg_at_1 + value: 20.8 + - type: ndcg_at_10 + value: 17.163999999999998 + - type: ndcg_at_100 + value: 24.738 + - type: ndcg_at_1000 + value: 30.316 + - type: ndcg_at_3 + value: 16.665 + - type: ndcg_at_5 + value: 14.478 + - type: precision_at_1 + value: 20.8 + - type: precision_at_10 + value: 8.74 + - type: precision_at_100 + value: 1.963 + - type: precision_at_1000 + value: 0.33 + - type: precision_at_3 + value: 15.467 + - type: precision_at_5 + value: 12.6 + - type: recall_at_1 + value: 4.213 + - type: recall_at_10 + value: 17.698 + - 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type: euclidean_spearman + value: 74.2371211567807 + - type: manhattan_pearson + value: 77.69697879669705 + - type: manhattan_spearman + value: 73.86529778022278 + - task: + type: STS + dataset: + name: MTEB STS13 + type: mteb/sts13-sts + config: default + split: test + revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca + metrics: + - type: cos_sim_pearson + value: 77.0293269315045 + - type: cos_sim_spearman + value: 78.02555120584198 + - type: euclidean_pearson + value: 78.25398100379078 + - type: euclidean_spearman + value: 78.66963870599464 + - type: manhattan_pearson + value: 78.14314682167348 + - type: manhattan_spearman + value: 78.57692322969135 + - task: + type: STS + dataset: + name: MTEB STS14 + type: mteb/sts14-sts + config: default + split: test + revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 + metrics: + - type: cos_sim_pearson + value: 79.16989925136942 + - type: cos_sim_spearman + value: 76.5996225327091 + - type: euclidean_pearson + value: 77.8319003279786 + - type: euclidean_spearman + value: 76.42824009468998 + - 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type: manhattan_spearman + value: 85.43502665436196 + - task: + type: Reranking + dataset: + name: MTEB SciDocsRR + type: mteb/scidocs-reranking + config: default + split: test + revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab + metrics: + - type: map + value: 80.73900991689766 + - type: mrr + value: 94.81624131133934 + - task: + type: Retrieval + dataset: + name: MTEB SciFact + type: scifact + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 55.678000000000004 + - type: map_at_10 + value: 65.135 + - type: map_at_100 + value: 65.824 + - type: map_at_1000 + value: 65.852 + - type: map_at_3 + value: 62.736000000000004 + - type: map_at_5 + value: 64.411 + - type: mrr_at_1 + value: 58.333 + - type: mrr_at_10 + value: 66.5 + - type: mrr_at_100 + value: 67.053 + - type: mrr_at_1000 + value: 67.08 + - type: mrr_at_3 + value: 64.944 + - type: mrr_at_5 + value: 65.89399999999999 + - type: ndcg_at_1 + value: 58.333 + - type: ndcg_at_10 + value: 69.34700000000001 + - 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type: accuracy + value: 23.15270935960591 + - type: f1 + value: 19.65673625772148 + - type: precision + value: 18.793705293464992 + - type: recall + value: 23.15270935960591 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (max-eng) + type: mteb/tatoeba-bitext-mining + config: max-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 59.154929577464785 + - type: f1 + value: 52.3868463305083 + - type: precision + value: 50.14938113529662 + - type: recall + value: 59.154929577464785 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (swh-eng) + type: mteb/tatoeba-bitext-mining + config: swh-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 70.51282051282051 + - type: f1 + value: 66.8089133089133 + - type: precision + value: 65.37645687645687 + - type: recall + value: 70.51282051282051 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (hin-eng) + type: mteb/tatoeba-bitext-mining + config: hin-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 94.6 + - type: f1 + value: 93 + - type: precision + value: 92.23333333333333 + - type: recall + value: 94.6 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (dsb-eng) + type: mteb/tatoeba-bitext-mining + config: dsb-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 38.62212943632568 + - type: f1 + value: 34.3278276962583 + - type: precision + value: 33.07646935732408 + - type: recall + value: 38.62212943632568 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (ber-eng) + type: mteb/tatoeba-bitext-mining + config: ber-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 28.1 + - type: f1 + value: 23.579609223054604 + - type: precision + value: 22.39622774921555 + - type: recall + value: 28.1 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (tam-eng) + type: mteb/tatoeba-bitext-mining + config: tam-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 88.27361563517914 + - type: f1 + value: 85.12486427795874 + - type: precision + value: 83.71335504885994 + - type: recall + value: 88.27361563517914 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (slk-eng) + type: mteb/tatoeba-bitext-mining + config: slk-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 88.6 + - type: f1 + value: 86.39928571428571 + - type: precision + value: 85.4947557997558 + - type: recall + value: 88.6 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (tgl-eng) + type: mteb/tatoeba-bitext-mining + config: tgl-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 86.5 + - type: f1 + value: 83.77952380952381 + - type: precision + value: 82.67602564102565 + - type: recall + value: 86.5 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (ast-eng) + type: mteb/tatoeba-bitext-mining + config: ast-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 79.52755905511812 + - type: f1 + value: 75.3055868016498 + - type: precision + value: 73.81889763779527 + - type: recall + value: 79.52755905511812 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (mkd-eng) + type: mteb/tatoeba-bitext-mining + config: mkd-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 77.9 + - type: f1 + value: 73.76261904761905 + - type: precision + value: 72.11670995670995 + - type: recall + value: 77.9 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (khm-eng) + type: mteb/tatoeba-bitext-mining + config: khm-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 53.8781163434903 + - type: f1 + value: 47.25804051288816 + - type: precision + value: 45.0603482390186 + - type: recall + value: 53.8781163434903 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (ces-eng) + type: mteb/tatoeba-bitext-mining + config: ces-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 91.10000000000001 + - type: f1 + value: 88.88 + - type: precision + value: 87.96333333333334 + - type: recall + value: 91.10000000000001 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (tzl-eng) + type: mteb/tatoeba-bitext-mining + config: tzl-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 38.46153846153847 + - type: f1 + value: 34.43978243978244 + - type: precision + value: 33.429487179487175 + - type: recall + value: 38.46153846153847 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (urd-eng) + type: mteb/tatoeba-bitext-mining + config: urd-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 88.9 + - type: f1 + value: 86.19888888888887 + - type: precision + value: 85.07440476190476 + - type: recall + value: 88.9 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (ara-eng) + type: mteb/tatoeba-bitext-mining + config: ara-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 85.9 + - type: f1 + value: 82.58857142857143 + - type: precision + value: 81.15666666666667 + - type: recall + value: 85.9 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (kor-eng) + type: mteb/tatoeba-bitext-mining + config: kor-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 86.8 + - type: f1 + value: 83.36999999999999 + - type: precision + value: 81.86833333333333 + - type: recall + value: 86.8 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (yid-eng) + type: mteb/tatoeba-bitext-mining + config: yid-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 68.51415094339622 + - type: f1 + value: 63.195000099481234 + - type: precision + value: 61.394033442972116 + - type: recall + value: 68.51415094339622 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (fin-eng) + type: mteb/tatoeba-bitext-mining + config: fin-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 88.5 + - type: f1 + value: 86.14603174603175 + - type: precision + value: 85.1162037037037 + - type: recall + value: 88.5 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (tha-eng) + type: mteb/tatoeba-bitext-mining + config: tha-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 95.62043795620438 + - type: f1 + value: 94.40389294403892 + - type: precision + value: 93.7956204379562 + - type: recall + value: 95.62043795620438 + - task: + type: BitextMining + dataset: + name: MTEB Tatoeba (wuu-eng) + type: mteb/tatoeba-bitext-mining + config: wuu-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 81.8 + - type: f1 + value: 78.6532178932179 + - type: precision + value: 77.46348795840176 + - type: recall + value: 81.8 + - task: + type: Retrieval + dataset: + name: MTEB Touche2020 + type: webis-touche2020 + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 2.603 + - type: map_at_10 + value: 8.5 + - type: map_at_100 + value: 12.985 + - type: map_at_1000 + value: 14.466999999999999 + - type: map_at_3 + value: 4.859999999999999 + - type: map_at_5 + value: 5.817 + - type: mrr_at_1 + value: 28.571 + - type: mrr_at_10 + value: 42.331 + - type: mrr_at_100 + value: 43.592999999999996 + - type: mrr_at_1000 + value: 43.592999999999996 + - type: mrr_at_3 + value: 38.435 + - type: mrr_at_5 + value: 39.966 + - type: ndcg_at_1 + value: 26.531 + - type: ndcg_at_10 + value: 21.353 + - type: ndcg_at_100 + value: 31.087999999999997 + - type: ndcg_at_1000 + value: 43.163000000000004 + - type: ndcg_at_3 + value: 22.999 + - type: ndcg_at_5 + value: 21.451 + - type: precision_at_1 + value: 28.571 + - type: precision_at_10 + value: 19.387999999999998 + - type: precision_at_100 + value: 6.265 + - type: precision_at_1000 + value: 1.4160000000000001 + - type: precision_at_3 + value: 24.490000000000002 + - type: precision_at_5 + value: 21.224 + - type: recall_at_1 + value: 2.603 + - type: recall_at_10 + value: 14.474 + - type: recall_at_100 + value: 40.287 + - type: recall_at_1000 + value: 76.606 + - type: recall_at_3 + value: 5.978 + - type: recall_at_5 + value: 7.819 + - task: + type: Classification + dataset: + name: MTEB ToxicConversationsClassification + type: mteb/toxic_conversations_50k + config: default + split: test + revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c + metrics: + - type: accuracy + value: 69.7848 + - type: ap + value: 13.661023167088224 + - type: f1 + value: 53.61686134460943 + - task: + type: Classification + dataset: + name: MTEB TweetSentimentExtractionClassification + type: mteb/tweet_sentiment_extraction + config: default + split: test + revision: d604517c81ca91fe16a244d1248fc021f9ecee7a + metrics: + - type: accuracy + value: 61.28183361629882 + - type: f1 + value: 61.55481034919965 + - task: + type: Clustering + dataset: + name: MTEB TwentyNewsgroupsClustering + type: mteb/twentynewsgroups-clustering + config: default + split: test + revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 + metrics: + - type: v_measure + value: 35.972128420092396 + - task: + type: PairClassification + dataset: + name: MTEB TwitterSemEval2015 + type: mteb/twittersemeval2015-pairclassification + config: default + split: test + revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 + metrics: + - type: cos_sim_accuracy + value: 85.59933241938367 + - type: cos_sim_ap + value: 72.20760361208136 + - type: cos_sim_f1 + value: 66.4447731755424 + - type: cos_sim_precision + value: 62.35539102267469 + - type: cos_sim_recall + value: 71.10817941952506 + - type: dot_accuracy + value: 78.98313166835548 + - type: dot_ap + value: 44.492521645493795 + - type: dot_f1 + value: 45.814889336016094 + - type: dot_precision + value: 37.02439024390244 + - type: dot_recall + value: 60.07915567282321 + - type: euclidean_accuracy + value: 85.3907134767837 + - type: euclidean_ap + value: 71.53847289080343 + - type: euclidean_f1 + value: 65.95952206778834 + - type: euclidean_precision + value: 61.31006346328196 + - type: euclidean_recall + value: 71.37203166226914 + - type: manhattan_accuracy + value: 85.40859510043511 + - type: manhattan_ap + value: 71.49664104395515 + - type: manhattan_f1 + value: 65.98569969356485 + - type: manhattan_precision + value: 63.928748144482924 + - type: manhattan_recall + value: 68.17941952506597 + - type: max_accuracy + value: 85.59933241938367 + - type: max_ap + value: 72.20760361208136 + - type: max_f1 + value: 66.4447731755424 + - task: + type: PairClassification + dataset: + name: MTEB TwitterURLCorpus + type: mteb/twitterurlcorpus-pairclassification + config: default + split: test + revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf + metrics: + - type: cos_sim_accuracy + value: 88.83261536073273 + - type: cos_sim_ap + value: 85.48178133644264 + - type: cos_sim_f1 + value: 77.87816307403935 + - type: cos_sim_precision + value: 75.88953021114926 + - type: cos_sim_recall + value: 79.97382198952879 + - type: dot_accuracy + value: 79.76287499514883 + - type: dot_ap + value: 59.17438838475084 + - type: dot_f1 + value: 56.34566667855996 + - type: dot_precision + value: 52.50349092359864 + - type: dot_recall + value: 60.794579611949494 + - type: euclidean_accuracy + value: 88.76857996662397 + - type: euclidean_ap + value: 85.22764834359887 + - type: euclidean_f1 + value: 77.65379751543554 + - type: euclidean_precision + value: 75.11152683839401 + - type: euclidean_recall + value: 80.37419156144134 + - type: manhattan_accuracy + value: 88.6987231730508 + - type: manhattan_ap + value: 85.18907981724007 + - type: manhattan_f1 + value: 77.51967028849757 + - type: manhattan_precision + value: 75.49992701795358 + - type: manhattan_recall + value: 79.65044656606098 + - type: max_accuracy + value: 88.83261536073273 + - type: max_ap + value: 85.48178133644264 + - type: max_f1 + value: 77.87816307403935 +--- + +# multilingual-e5-base-mlx +This model was converted to MLX format from [`intfloat/multilingual-e5-base`](). +Refer to the [original model card](https://huggingface.co/intfloat/multilingual-e5-base) for more details on the model. +## Use with mlx +```bash +pip install mlx +git clone https://github.com/ml-explore/mlx-examples.git +cd mlx-examples/llms/hf_llm +python generate.py --model mlx-community/multilingual-e5-base-mlx --prompt "My name is" +```