diff --git "a/README.md" "b/README.md" new file mode 100644--- /dev/null +++ "b/README.md" @@ -0,0 +1,5283 @@ +--- +tags: +- mteb +model-index: +- name: mteb + results: + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (en) + config: en + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 76.23880597014924 + - type: ap + value: 39.07351965022687 + - type: f1 + value: 70.04836733862683 + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (de) + config: de + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 66.71306209850107 + - type: ap + value: 79.01499914759529 + - type: f1 + value: 64.81951817560703 + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (en-ext) + config: en-ext + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 73.85307346326837 + - type: ap + value: 22.447519885878737 + - type: f1 + value: 61.0162730745633 + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (ja) + config: ja + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 76.04925053533191 + - type: ap + value: 23.44983217128922 + - type: f1 + value: 62.5723230907759 + - task: + type: Classification + dataset: + type: mteb/amazon_polarity + name: MTEB AmazonPolarityClassification + config: default + split: test + revision: e2d317d38cd51312af73b3d32a06d1a08b442046 + metrics: + - type: accuracy + value: 96.28742500000001 + - type: ap + value: 94.8449918887462 + - type: f1 + value: 96.28680923610432 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (en) + config: en + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 56.716 + - type: f1 + value: 55.76510398266401 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (de) + config: de + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 52.99999999999999 + - type: f1 + value: 52.00829994765178 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (es) + config: es + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 48.806000000000004 + - type: f1 + value: 48.082345914983634 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (fr) + config: fr + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 48.507999999999996 + - type: f1 + value: 47.68752844642045 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (ja) + config: ja + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 47.709999999999994 + - type: f1 + value: 47.05870376637181 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (zh) + config: zh + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 44.662000000000006 + - type: f1 + value: 43.42371965372771 + - task: + type: Retrieval + dataset: + type: arguana + name: MTEB ArguAna + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 31.721 + - type: map_at_10 + value: 49.221 + - type: map_at_100 + value: 49.884 + - type: map_at_1000 + value: 49.888 + - type: map_at_3 + value: 44.31 + - type: map_at_5 + value: 47.276 + - type: mrr_at_1 + value: 32.432 + - type: mrr_at_10 + value: 49.5 + - type: mrr_at_100 + value: 50.163000000000004 + - type: mrr_at_1000 + value: 50.166 + - type: mrr_at_3 + value: 44.618 + - type: mrr_at_5 + value: 47.541 + - type: ndcg_at_1 + value: 31.721 + - type: ndcg_at_10 + value: 58.384 + - type: ndcg_at_100 + value: 61.111000000000004 + - type: ndcg_at_1000 + value: 61.187999999999995 + - type: ndcg_at_3 + value: 48.386 + - type: ndcg_at_5 + value: 53.708999999999996 + - type: precision_at_1 + value: 31.721 + - type: precision_at_10 + value: 8.741 + - type: precision_at_100 + value: 0.991 + - type: precision_at_1000 + value: 0.1 + - type: precision_at_3 + value: 20.057 + - type: precision_at_5 + value: 14.609 + - type: recall_at_1 + value: 31.721 + - type: recall_at_10 + value: 87.411 + - type: recall_at_100 + value: 99.075 + - type: recall_at_1000 + value: 99.644 + - type: recall_at_3 + value: 60.171 + - type: recall_at_5 + value: 73.044 + - task: + type: Clustering + dataset: + type: mteb/arxiv-clustering-p2p + name: MTEB ArxivClusteringP2P + config: default + split: test + revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d + metrics: + - type: v_measure + value: 46.40419580759799 + - task: + type: Clustering + dataset: + type: mteb/arxiv-clustering-s2s + name: MTEB ArxivClusteringS2S + config: default + split: test + revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 + metrics: + - type: v_measure + value: 40.48593255007969 + - task: + type: Reranking + dataset: + type: mteb/askubuntudupquestions-reranking + name: MTEB AskUbuntuDupQuestions + config: default + split: test + revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 + metrics: + - type: map + value: 63.889179122289995 + - type: mrr + value: 77.61146286769556 + - task: + type: STS + dataset: + type: mteb/biosses-sts + name: MTEB BIOSSES + config: default + split: test + revision: d3fb88f8f02e40887cd149695127462bbcf29b4a + metrics: + - type: cos_sim_pearson + value: 88.15075203727929 + - type: cos_sim_spearman + value: 86.9622224570873 + - type: euclidean_pearson + value: 86.70473853624121 + - type: euclidean_spearman + value: 86.9622224570873 + - type: manhattan_pearson + value: 86.21089380980065 + - type: manhattan_spearman + value: 86.75318154937008 + - task: + type: BitextMining + dataset: + type: mteb/bucc-bitext-mining + name: MTEB BUCC (de-en) + config: de-en + split: test + revision: d51519689f32196a32af33b075a01d0e7c51e252 + metrics: + - type: accuracy + value: 99.65553235908142 + - type: f1 + value: 99.60681976339595 + - type: precision + value: 99.58246346555325 + - type: recall + value: 99.65553235908142 + - task: + type: BitextMining + dataset: + type: mteb/bucc-bitext-mining + name: MTEB BUCC (fr-en) + config: fr-en + split: test + revision: d51519689f32196a32af33b075a01d0e7c51e252 + metrics: + - type: accuracy + value: 99.26260180497468 + - type: f1 + value: 99.14520507740848 + - type: precision + value: 99.08650671362535 + - type: recall + value: 99.26260180497468 + - task: + type: BitextMining + dataset: + type: mteb/bucc-bitext-mining + name: MTEB BUCC (ru-en) + config: ru-en + split: test + revision: d51519689f32196a32af33b075a01d0e7c51e252 + metrics: + - type: accuracy + value: 98.07412538967787 + - type: f1 + value: 97.86629719431936 + - type: precision + value: 97.76238309664012 + - type: recall + value: 98.07412538967787 + - task: + type: BitextMining + dataset: + type: mteb/bucc-bitext-mining + name: MTEB BUCC (zh-en) + config: zh-en + split: test + revision: d51519689f32196a32af33b075a01d0e7c51e252 + metrics: + - type: accuracy + value: 99.42074776197998 + - type: f1 + value: 99.38564156573635 + - type: precision + value: 99.36808846761454 + - type: recall + value: 99.42074776197998 + - task: + type: Classification + dataset: + type: mteb/banking77 + name: MTEB Banking77Classification + config: default + split: test + revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 + metrics: + - type: accuracy + value: 85.73376623376623 + - type: f1 + value: 85.68480707214599 + - task: + type: Clustering + dataset: + type: mteb/biorxiv-clustering-p2p + name: MTEB BiorxivClusteringP2P + config: default + split: test + revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 + metrics: + - type: v_measure + value: 40.935218072113855 + - task: + type: Clustering + dataset: + type: mteb/biorxiv-clustering-s2s + name: MTEB BiorxivClusteringS2S + config: default + split: test + revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 + metrics: + - type: v_measure + value: 36.276389017675264 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 27.764166666666668 + - type: map_at_10 + value: 37.298166666666674 + - type: map_at_100 + value: 38.530166666666666 + - type: map_at_1000 + value: 38.64416666666667 + - type: map_at_3 + value: 34.484833333333334 + - type: map_at_5 + value: 36.0385 + - type: mrr_at_1 + value: 32.93558333333333 + - type: mrr_at_10 + value: 41.589749999999995 + - type: mrr_at_100 + value: 42.425333333333334 + - type: mrr_at_1000 + value: 42.476333333333336 + - type: mrr_at_3 + value: 39.26825 + - type: mrr_at_5 + value: 40.567083333333336 + - type: ndcg_at_1 + value: 32.93558333333333 + - type: ndcg_at_10 + value: 42.706583333333334 + - type: ndcg_at_100 + value: 47.82483333333333 + - type: ndcg_at_1000 + value: 49.95733333333334 + - type: ndcg_at_3 + value: 38.064750000000004 + - type: ndcg_at_5 + value: 40.18158333333333 + - type: precision_at_1 + value: 32.93558333333333 + - type: precision_at_10 + value: 7.459833333333334 + - type: precision_at_100 + value: 1.1830833333333335 + - type: precision_at_1000 + value: 0.15608333333333332 + - type: precision_at_3 + value: 17.5235 + - type: precision_at_5 + value: 12.349833333333333 + - type: recall_at_1 + value: 27.764166666666668 + - type: recall_at_10 + value: 54.31775 + - type: recall_at_100 + value: 76.74350000000001 + - type: recall_at_1000 + value: 91.45208333333332 + - type: recall_at_3 + value: 41.23425 + - type: recall_at_5 + value: 46.73983333333334 + - task: + type: Retrieval + dataset: + type: climate-fever + name: MTEB ClimateFEVER + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 12.969 + - type: map_at_10 + value: 21.584999999999997 + - type: map_at_100 + value: 23.3 + - type: map_at_1000 + value: 23.5 + - type: map_at_3 + value: 18.218999999999998 + - type: map_at_5 + value: 19.983 + - type: mrr_at_1 + value: 29.316 + - type: mrr_at_10 + value: 40.033 + - type: mrr_at_100 + value: 40.96 + - type: mrr_at_1000 + value: 41.001 + - type: mrr_at_3 + value: 37.123 + - type: mrr_at_5 + value: 38.757999999999996 + - type: ndcg_at_1 + value: 29.316 + - type: ndcg_at_10 + value: 29.858 + - type: ndcg_at_100 + value: 36.756 + - type: ndcg_at_1000 + value: 40.245999999999995 + - type: ndcg_at_3 + value: 24.822 + - type: ndcg_at_5 + value: 26.565 + - type: precision_at_1 + value: 29.316 + - type: precision_at_10 + value: 9.186 + - type: precision_at_100 + value: 1.6549999999999998 + - type: precision_at_1000 + value: 0.22999999999999998 + - type: precision_at_3 + value: 18.436 + - type: precision_at_5 + value: 13.876 + - type: recall_at_1 + value: 12.969 + - type: recall_at_10 + value: 35.142 + - type: recall_at_100 + value: 59.143 + - type: recall_at_1000 + value: 78.594 + - type: recall_at_3 + value: 22.604 + - type: recall_at_5 + value: 27.883000000000003 + - task: + type: Retrieval + dataset: + type: dbpedia-entity + name: MTEB DBPedia + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 8.527999999999999 + - type: map_at_10 + value: 17.974999999999998 + - type: map_at_100 + value: 25.665 + - type: map_at_1000 + value: 27.406000000000002 + - type: map_at_3 + value: 13.017999999999999 + - type: map_at_5 + value: 15.137 + - type: mrr_at_1 + value: 62.5 + - type: mrr_at_10 + value: 71.891 + - type: mrr_at_100 + value: 72.294 + - type: mrr_at_1000 + value: 72.296 + - type: mrr_at_3 + value: 69.958 + - type: mrr_at_5 + value: 71.121 + - type: ndcg_at_1 + value: 50.875 + - type: ndcg_at_10 + value: 38.36 + - type: ndcg_at_100 + value: 44.235 + - type: ndcg_at_1000 + value: 52.154 + - type: ndcg_at_3 + value: 43.008 + - type: ndcg_at_5 + value: 40.083999999999996 + - type: precision_at_1 + value: 62.5 + - type: precision_at_10 + value: 30.0 + - type: precision_at_100 + value: 10.038 + - type: precision_at_1000 + value: 2.0869999999999997 + - type: precision_at_3 + value: 46.833000000000006 + - type: precision_at_5 + value: 38.800000000000004 + - type: recall_at_1 + value: 8.527999999999999 + - type: recall_at_10 + value: 23.828 + - type: recall_at_100 + value: 52.322 + - type: recall_at_1000 + value: 77.143 + - type: recall_at_3 + value: 14.136000000000001 + - type: recall_at_5 + value: 17.761 + - task: + type: Classification + dataset: + type: mteb/emotion + name: MTEB EmotionClassification + config: default + split: test + revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 + metrics: + - type: accuracy + value: 51.51 + - type: f1 + value: 47.632159862049896 + - task: + type: Retrieval + dataset: + type: fever + name: MTEB FEVER + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 60.734 + - type: map_at_10 + value: 72.442 + - type: map_at_100 + value: 72.735 + - type: map_at_1000 + value: 72.75 + - type: map_at_3 + value: 70.41199999999999 + - type: map_at_5 + value: 71.80499999999999 + - type: mrr_at_1 + value: 65.212 + - type: mrr_at_10 + value: 76.613 + - type: mrr_at_100 + value: 76.79899999999999 + - type: mrr_at_1000 + value: 76.801 + - type: mrr_at_3 + value: 74.8 + - type: mrr_at_5 + value: 76.12400000000001 + - type: ndcg_at_1 + value: 65.212 + - type: ndcg_at_10 + value: 77.988 + - type: ndcg_at_100 + value: 79.167 + - type: ndcg_at_1000 + value: 79.452 + - type: ndcg_at_3 + value: 74.362 + - type: ndcg_at_5 + value: 76.666 + - type: precision_at_1 + value: 65.212 + - type: precision_at_10 + value: 10.003 + - type: precision_at_100 + value: 1.077 + - type: precision_at_1000 + value: 0.11199999999999999 + - type: precision_at_3 + value: 29.518 + - type: precision_at_5 + value: 19.016 + - type: recall_at_1 + value: 60.734 + - type: recall_at_10 + value: 90.824 + - type: recall_at_100 + value: 95.71600000000001 + - type: recall_at_1000 + value: 97.577 + - type: recall_at_3 + value: 81.243 + - type: recall_at_5 + value: 86.90299999999999 + - task: + type: Retrieval + dataset: + type: fiqa + name: MTEB FiQA2018 + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 23.845 + - type: map_at_10 + value: 39.281 + - type: map_at_100 + value: 41.422 + - type: map_at_1000 + value: 41.593 + - type: map_at_3 + value: 34.467 + - type: map_at_5 + value: 37.017 + - type: mrr_at_1 + value: 47.531 + - type: mrr_at_10 + value: 56.204 + - type: mrr_at_100 + value: 56.928999999999995 + - type: mrr_at_1000 + value: 56.962999999999994 + - type: mrr_at_3 + value: 54.115 + - type: mrr_at_5 + value: 55.373000000000005 + - type: ndcg_at_1 + value: 47.531 + - type: ndcg_at_10 + value: 47.711999999999996 + - type: ndcg_at_100 + value: 54.510999999999996 + - type: ndcg_at_1000 + value: 57.103 + - type: ndcg_at_3 + value: 44.145 + - type: ndcg_at_5 + value: 45.032 + - type: precision_at_1 + value: 47.531 + - type: precision_at_10 + value: 13.194 + - type: precision_at_100 + value: 2.045 + - type: precision_at_1000 + value: 0.249 + - type: precision_at_3 + value: 29.424 + - type: precision_at_5 + value: 21.451 + - type: recall_at_1 + value: 23.845 + - type: recall_at_10 + value: 54.967 + - type: recall_at_100 + value: 79.11399999999999 + - type: recall_at_1000 + value: 94.56700000000001 + - type: recall_at_3 + value: 40.256 + - type: recall_at_5 + value: 46.215 + - task: + type: Retrieval + dataset: + type: hotpotqa + name: MTEB HotpotQA + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 37.819 + - type: map_at_10 + value: 60.889 + - type: map_at_100 + value: 61.717999999999996 + - type: map_at_1000 + value: 61.778 + - type: map_at_3 + value: 57.254000000000005 + - type: map_at_5 + value: 59.541 + - type: mrr_at_1 + value: 75.638 + - type: mrr_at_10 + value: 82.173 + - type: mrr_at_100 + value: 82.362 + - type: mrr_at_1000 + value: 82.37 + - type: mrr_at_3 + value: 81.089 + - type: mrr_at_5 + value: 81.827 + - type: ndcg_at_1 + value: 75.638 + - type: ndcg_at_10 + value: 69.317 + - type: ndcg_at_100 + value: 72.221 + - type: ndcg_at_1000 + value: 73.382 + - type: ndcg_at_3 + value: 64.14 + - type: ndcg_at_5 + value: 67.07600000000001 + - type: precision_at_1 + value: 75.638 + - type: precision_at_10 + value: 14.704999999999998 + - type: precision_at_100 + value: 1.698 + - type: precision_at_1000 + value: 0.185 + - type: precision_at_3 + value: 41.394999999999996 + - type: precision_at_5 + value: 27.162999999999997 + - type: recall_at_1 + value: 37.819 + - type: recall_at_10 + value: 73.52499999999999 + - type: recall_at_100 + value: 84.875 + - type: recall_at_1000 + value: 92.559 + - type: recall_at_3 + value: 62.092999999999996 + - type: recall_at_5 + value: 67.907 + - task: + type: Classification + dataset: + type: mteb/imdb + name: MTEB ImdbClassification + config: default + split: test + revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 + metrics: + - type: accuracy + value: 94.60079999999999 + - type: ap + value: 92.67396345347356 + - type: f1 + value: 94.5988098167121 + - task: + type: Retrieval + dataset: + type: msmarco + name: MTEB MSMARCO + config: default + split: dev + revision: None + metrics: + - type: map_at_1 + value: 21.285 + - type: map_at_10 + value: 33.436 + - type: map_at_100 + value: 34.63 + - type: map_at_1000 + value: 34.681 + - type: map_at_3 + value: 29.412 + - type: map_at_5 + value: 31.715 + - type: mrr_at_1 + value: 21.848 + - type: mrr_at_10 + value: 33.979 + - type: mrr_at_100 + value: 35.118 + - type: mrr_at_1000 + value: 35.162 + - type: mrr_at_3 + value: 30.036 + - type: mrr_at_5 + value: 32.298 + - type: ndcg_at_1 + value: 21.862000000000002 + - type: ndcg_at_10 + value: 40.43 + - type: ndcg_at_100 + value: 46.17 + - type: ndcg_at_1000 + value: 47.412 + - type: ndcg_at_3 + value: 32.221 + - type: ndcg_at_5 + value: 36.332 + - type: precision_at_1 + value: 21.862000000000002 + - type: precision_at_10 + value: 6.491 + - type: precision_at_100 + value: 0.935 + - type: precision_at_1000 + value: 0.104 + - type: precision_at_3 + value: 13.744 + - type: precision_at_5 + value: 10.331999999999999 + - type: recall_at_1 + value: 21.285 + - type: recall_at_10 + value: 62.083 + - type: recall_at_100 + value: 88.576 + - type: recall_at_1000 + value: 98.006 + - type: recall_at_3 + value: 39.729 + - type: recall_at_5 + value: 49.608000000000004 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (en) + config: en + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 93.92612859097127 + - type: f1 + value: 93.82370333372853 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (de) + config: de + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 92.67681036911807 + - type: f1 + value: 92.14191382411472 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (es) + config: es + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 92.26817878585723 + - type: f1 + value: 91.92824250337878 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (fr) + config: fr + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 89.96554963983714 + - type: f1 + value: 90.02859329630792 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (hi) + config: hi + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 90.02509860164935 + - type: f1 + value: 89.30665159182062 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (th) + config: th + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 87.55515370705244 + - type: f1 + value: 87.94449232331907 + - task: + type: Classification + dataset: + type: mteb/mtop_intent + name: MTEB MTOPIntentClassification (en) + config: en + split: test + revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + metrics: + - type: accuracy + value: 82.4623803009576 + - type: f1 + value: 66.06738378772725 + - task: + type: Classification + dataset: + type: mteb/mtop_intent + name: MTEB MTOPIntentClassification (de) + config: de + split: test + revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + metrics: + - 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task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (ta) + config: ta + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 70.93140551445865 + - type: f1 + value: 70.755435928495 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (te) + config: te + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 72.40753194351042 + - type: f1 + value: 71.61816115782923 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (th) + config: th + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 75.1815736381977 + - type: f1 + value: 75.08016717887205 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (tl) + config: tl + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 72.86482851378614 + - type: f1 + value: 72.39521180006291 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (tr) + config: tr + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 76.46940147948891 + - type: f1 + value: 76.70044085362349 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (ur) + config: ur + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 71.89307330195024 + - type: f1 + value: 71.5721825332298 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (vi) + config: vi + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 74.7511768661735 + - type: f1 + value: 75.17918654541515 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (zh-CN) + config: zh-CN + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 78.69535978480162 + - type: f1 + value: 78.90019070153316 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (zh-TW) + config: zh-TW + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 75.45729657027572 + - type: f1 + value: 76.19578371794672 + - task: + type: Clustering + dataset: + type: mteb/medrxiv-clustering-p2p + name: MTEB MedrxivClusteringP2P + config: default + split: test + revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 + metrics: + - type: v_measure + value: 36.92715354123554 + - task: + type: Clustering + dataset: + type: mteb/medrxiv-clustering-s2s + name: MTEB MedrxivClusteringS2S + config: default + split: test + revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 + metrics: + - type: v_measure + value: 35.53536244162518 + - task: + type: Reranking + dataset: + type: mteb/mind_small + name: MTEB MindSmallReranking + config: default + split: test + revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 + metrics: + - type: map + value: 33.08507884504006 + - type: mrr + value: 34.32436977159129 + - task: + type: Retrieval + dataset: + type: nfcorpus + name: MTEB NFCorpus + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 5.935 + - type: map_at_10 + value: 13.297 + - type: map_at_100 + value: 16.907 + - type: map_at_1000 + value: 18.391 + - type: map_at_3 + value: 9.626999999999999 + - type: map_at_5 + value: 11.190999999999999 + - type: mrr_at_1 + value: 46.129999999999995 + - type: mrr_at_10 + value: 54.346000000000004 + - type: mrr_at_100 + value: 55.067 + - type: mrr_at_1000 + value: 55.1 + - type: mrr_at_3 + value: 51.961 + - type: mrr_at_5 + value: 53.246 + - type: ndcg_at_1 + value: 44.118 + - type: ndcg_at_10 + value: 35.534 + - 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type: precision_at_5 + value: 24.92 + - type: recall_at_1 + value: 71.241 + - type: recall_at_10 + value: 96.128 + - type: recall_at_100 + value: 99.696 + - type: recall_at_1000 + value: 99.994 + - type: recall_at_3 + value: 88.181 + - type: recall_at_5 + value: 92.694 + - task: + type: Clustering + dataset: + type: mteb/reddit-clustering + name: MTEB RedditClustering + config: default + split: test + revision: 24640382cdbf8abc73003fb0fa6d111a705499eb + metrics: + - type: v_measure + value: 56.59757799655151 + - task: + type: Clustering + dataset: + type: mteb/reddit-clustering-p2p + name: MTEB RedditClusteringP2P + config: default + split: test + revision: 282350215ef01743dc01b456c7f5241fa8937f16 + metrics: + - type: v_measure + value: 64.27391998854624 + - task: + type: Retrieval + dataset: + type: scidocs + name: MTEB SCIDOCS + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 4.243 + - type: map_at_10 + value: 10.965 + - type: map_at_100 + value: 12.934999999999999 + - type: map_at_1000 + value: 13.256 + - type: map_at_3 + value: 7.907 + - type: map_at_5 + value: 9.435 + - type: mrr_at_1 + value: 20.9 + - type: mrr_at_10 + value: 31.849 + - type: mrr_at_100 + value: 32.964 + - type: mrr_at_1000 + value: 33.024 + - type: mrr_at_3 + value: 28.517 + - type: mrr_at_5 + value: 30.381999999999998 + - type: ndcg_at_1 + value: 20.9 + - type: ndcg_at_10 + value: 18.723 + - type: ndcg_at_100 + value: 26.384999999999998 + - type: ndcg_at_1000 + value: 32.114 + - type: ndcg_at_3 + value: 17.753 + - type: ndcg_at_5 + value: 15.558 + - type: precision_at_1 + value: 20.9 + - type: precision_at_10 + value: 9.8 + - type: precision_at_100 + value: 2.078 + - type: precision_at_1000 + value: 0.345 + - type: precision_at_3 + value: 16.900000000000002 + - type: precision_at_5 + value: 13.88 + - type: recall_at_1 + value: 4.243 + - type: recall_at_10 + value: 19.885 + - type: recall_at_100 + value: 42.17 + - type: recall_at_1000 + value: 70.12 + - type: recall_at_3 + value: 10.288 + - type: recall_at_5 + value: 14.072000000000001 + - task: + type: STS + dataset: + type: mteb/sickr-sts + name: MTEB SICK-R + config: default + split: test + revision: a6ea5a8cab320b040a23452cc28066d9beae2cee + metrics: + - type: cos_sim_pearson + value: 85.84209174935282 + - type: cos_sim_spearman + value: 81.73248048438833 + - type: euclidean_pearson + value: 83.02810070308149 + - type: euclidean_spearman + value: 81.73248295679514 + - type: manhattan_pearson + value: 82.95368060376002 + - type: manhattan_spearman + value: 81.60277910998718 + - task: + type: STS + dataset: + type: mteb/sts12-sts + name: MTEB STS12 + config: default + split: test + revision: a0d554a64d88156834ff5ae9920b964011b16384 + metrics: + - type: cos_sim_pearson + value: 88.52628804556943 + - type: cos_sim_spearman + value: 82.5713913555672 + - type: euclidean_pearson + value: 85.8796774746988 + - type: euclidean_spearman + value: 82.57137506803424 + - type: manhattan_pearson + value: 85.79671002960058 + - type: manhattan_spearman + value: 82.49445981618027 + - task: + type: STS + dataset: + type: mteb/sts13-sts + name: MTEB STS13 + config: default + split: test + revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca + metrics: + - type: cos_sim_pearson + value: 86.23682503505542 + - type: cos_sim_spearman + value: 87.15008956711806 + - type: euclidean_pearson + value: 86.79805401524959 + - type: euclidean_spearman + value: 87.15008956711806 + - type: manhattan_pearson + value: 86.65298502699244 + - type: manhattan_spearman + value: 86.97677821948562 + - task: + type: STS + dataset: + type: mteb/sts14-sts + name: MTEB STS14 + config: default + split: test + revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 + metrics: + - type: cos_sim_pearson + value: 85.63370304677802 + - type: cos_sim_spearman + value: 84.97105553540318 + - type: euclidean_pearson + value: 85.28896108687721 + - type: euclidean_spearman + value: 84.97105553540318 + - type: manhattan_pearson + value: 85.09663190337331 + - type: manhattan_spearman + value: 84.79126831644619 + - task: + type: STS + dataset: + type: mteb/sts15-sts + name: MTEB STS15 + config: default + split: test + revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 + metrics: + - type: cos_sim_pearson + value: 90.2614838800733 + - type: cos_sim_spearman + value: 91.0509162991835 + - type: euclidean_pearson + value: 90.33098317533373 + - type: euclidean_spearman + value: 91.05091625871644 + - type: manhattan_pearson + value: 90.26250435151107 + - type: manhattan_spearman + value: 90.97999594417519 + - task: + type: STS + dataset: + type: mteb/sts16-sts + name: MTEB STS16 + config: default + split: test + revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 + metrics: + - type: cos_sim_pearson + value: 85.80480973335091 + - type: cos_sim_spearman + value: 87.313695492969 + - type: euclidean_pearson + value: 86.49267251576939 + - type: euclidean_spearman + value: 87.313695492969 + - type: manhattan_pearson + value: 86.44019901831935 + - type: manhattan_spearman + value: 87.24205395460392 + - task: + type: STS + dataset: + type: mteb/sts17-crosslingual-sts + name: MTEB STS17 (en-en) + config: en-en + split: test + revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + metrics: + - type: cos_sim_pearson + value: 90.05662789380672 + - type: cos_sim_spearman + value: 90.02759424426651 + - type: euclidean_pearson + value: 90.4042483422981 + - type: euclidean_spearman + value: 90.02759424426651 + - type: manhattan_pearson + value: 90.51446975000226 + - type: manhattan_spearman + value: 90.08832889933616 + - task: + type: STS + dataset: + type: mteb/sts22-crosslingual-sts + name: MTEB STS22 (en) + config: en + split: test + revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + metrics: + - type: cos_sim_pearson + value: 67.5975528273532 + - type: cos_sim_spearman + value: 67.62969861411354 + - type: euclidean_pearson + value: 69.224275734323 + - type: euclidean_spearman + value: 67.62969861411354 + - type: manhattan_pearson + value: 69.3761447059927 + - type: manhattan_spearman + value: 67.90921005611467 + - task: + type: STS + dataset: + type: mteb/stsbenchmark-sts + name: MTEB STSBenchmark + config: default + split: test + revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 + metrics: + - type: cos_sim_pearson + value: 87.11244327231684 + - type: cos_sim_spearman + value: 88.37902438979035 + - type: euclidean_pearson + value: 87.86054279847336 + - type: euclidean_spearman + value: 88.37902438979035 + - type: manhattan_pearson + value: 87.77257757320378 + - type: manhattan_spearman + value: 88.25208966098123 + - task: + type: Reranking + dataset: + type: mteb/scidocs-reranking + name: MTEB SciDocsRR + config: default + split: test + revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab + metrics: + - type: map + value: 85.87174608143563 + - type: mrr + value: 96.12836872640794 + - task: + type: Retrieval + dataset: + type: scifact + name: MTEB SciFact + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 57.760999999999996 + - type: map_at_10 + value: 67.258 + - type: map_at_100 + value: 67.757 + - type: map_at_1000 + value: 67.78800000000001 + - type: map_at_3 + value: 64.602 + - type: map_at_5 + value: 65.64 + - type: mrr_at_1 + value: 60.667 + - type: mrr_at_10 + value: 68.441 + - type: mrr_at_100 + value: 68.825 + - type: mrr_at_1000 + value: 68.853 + - type: mrr_at_3 + value: 66.444 + - type: mrr_at_5 + value: 67.26100000000001 + - type: ndcg_at_1 + value: 60.667 + - type: ndcg_at_10 + value: 71.852 + - type: ndcg_at_100 + value: 73.9 + - type: ndcg_at_1000 + value: 74.628 + - type: ndcg_at_3 + value: 67.093 + - type: ndcg_at_5 + value: 68.58 + - type: precision_at_1 + value: 60.667 + - type: precision_at_10 + value: 9.6 + - type: precision_at_100 + value: 1.0670000000000002 + - type: precision_at_1000 + value: 0.11199999999999999 + - type: precision_at_3 + value: 26.111 + - type: precision_at_5 + value: 16.733 + - type: recall_at_1 + value: 57.760999999999996 + - type: recall_at_10 + value: 84.967 + - type: recall_at_100 + value: 93.833 + - type: recall_at_1000 + value: 99.333 + - type: recall_at_3 + value: 71.589 + - type: recall_at_5 + value: 75.483 + - task: + type: PairClassification + dataset: + type: mteb/sprintduplicatequestions-pairclassification + name: MTEB SprintDuplicateQuestions + config: default + split: test + revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 + metrics: + - type: cos_sim_accuracy + value: 99.66633663366336 + - type: cos_sim_ap + value: 91.17685358899108 + - type: cos_sim_f1 + value: 82.16818642350559 + - type: cos_sim_precision + value: 83.26488706365504 + - type: cos_sim_recall + value: 81.10000000000001 + - type: dot_accuracy + value: 99.66633663366336 + - type: dot_ap + value: 91.17663411119032 + - type: dot_f1 + value: 82.16818642350559 + - type: dot_precision + value: 83.26488706365504 + - type: dot_recall + value: 81.10000000000001 + - type: euclidean_accuracy + value: 99.66633663366336 + - type: euclidean_ap + value: 91.17685189882275 + - type: euclidean_f1 + value: 82.16818642350559 + - type: euclidean_precision + value: 83.26488706365504 + - type: euclidean_recall + value: 81.10000000000001 + - type: manhattan_accuracy + value: 99.66633663366336 + - type: manhattan_ap + value: 91.2241619496737 + - type: manhattan_f1 + value: 82.20472440944883 + - type: manhattan_precision + value: 86.51933701657458 + - type: manhattan_recall + value: 78.3 + - type: max_accuracy + value: 99.66633663366336 + - type: max_ap + value: 91.2241619496737 + - type: max_f1 + value: 82.20472440944883 + - task: + type: Clustering + dataset: + type: mteb/stackexchange-clustering + name: MTEB StackExchangeClustering + config: default + split: test + revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 + metrics: + - type: v_measure + value: 66.85101268897951 + - task: + type: Clustering + dataset: + type: mteb/stackexchange-clustering-p2p + name: MTEB StackExchangeClusteringP2P + config: default + split: test + revision: 815ca46b2622cec33ccafc3735d572c266efdb44 + metrics: + - type: v_measure + value: 42.461184054706905 + - task: + type: Reranking + dataset: + type: mteb/stackoverflowdupquestions-reranking + name: MTEB StackOverflowDupQuestions + config: default + split: test + revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 + metrics: + - type: map + value: 51.44542568873886 + - type: mrr + value: 52.33656151854681 + - task: + type: Summarization + dataset: + type: mteb/summeval + name: MTEB SummEval + config: default + split: test + revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c + metrics: + - type: cos_sim_pearson + value: 30.75982974997539 + - type: cos_sim_spearman + value: 30.385405026539914 + - type: dot_pearson + value: 30.75982433546523 + - type: dot_spearman + value: 30.385405026539914 + - task: + type: Retrieval + dataset: + type: trec-covid + name: MTEB TRECCOVID + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 0.22799999999999998 + - type: map_at_10 + value: 2.064 + - type: map_at_100 + value: 13.056000000000001 + - type: map_at_1000 + value: 31.747999999999998 + - type: map_at_3 + value: 0.67 + - type: map_at_5 + value: 1.097 + - type: mrr_at_1 + value: 90.0 + - type: mrr_at_10 + value: 94.667 + - type: mrr_at_100 + value: 94.667 + - type: mrr_at_1000 + value: 94.667 + - type: mrr_at_3 + value: 94.667 + - type: mrr_at_5 + value: 94.667 + - type: ndcg_at_1 + value: 86.0 + - type: ndcg_at_10 + value: 82.0 + - type: ndcg_at_100 + value: 64.307 + - type: ndcg_at_1000 + value: 57.023999999999994 + - type: ndcg_at_3 + value: 85.816 + - 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type: accuracy + value: 85.54913294797689 + - type: f1 + value: 82.46628131021194 + - type: precision + value: 81.1175337186898 + - type: recall + value: 85.54913294797689 + - task: + type: BitextMining + dataset: + type: mteb/tatoeba-bitext-mining + name: MTEB Tatoeba (kur-eng) + config: kur-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 81.21951219512195 + - type: f1 + value: 77.33333333333334 + - type: precision + value: 75.54878048780488 + - type: recall + value: 81.21951219512195 + - task: + type: BitextMining + dataset: + type: mteb/tatoeba-bitext-mining + name: MTEB Tatoeba (tur-eng) + config: tur-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 98.6 + - type: f1 + value: 98.26666666666665 + - type: precision + value: 98.1 + - type: recall + value: 98.6 + - task: + type: BitextMining + dataset: + type: mteb/tatoeba-bitext-mining + name: MTEB Tatoeba (deu-eng) + config: deu-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 99.5 + - type: f1 + value: 99.33333333333333 + - type: precision + value: 99.25 + - type: recall + value: 99.5 + - task: + type: BitextMining + dataset: + type: mteb/tatoeba-bitext-mining + name: MTEB Tatoeba (nld-eng) + config: nld-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 97.8 + - type: f1 + value: 97.2 + - type: precision + value: 96.89999999999999 + - type: recall + value: 97.8 + - task: + type: BitextMining + dataset: + type: mteb/tatoeba-bitext-mining + name: MTEB Tatoeba (ron-eng) + config: ron-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 97.8 + - type: f1 + value: 97.18333333333334 + - type: precision + value: 96.88333333333333 + - type: recall + value: 97.8 + - task: + type: BitextMining + dataset: + type: mteb/tatoeba-bitext-mining + name: MTEB Tatoeba (ang-eng) + config: ang-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - 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type: accuracy + value: 96.1 + - type: f1 + value: 95.0 + - type: precision + value: 94.46666666666668 + - type: recall + value: 96.1 + - task: + type: BitextMining + dataset: + type: mteb/tatoeba-bitext-mining + name: MTEB Tatoeba (slv-eng) + config: slv-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 93.681652490887 + - type: f1 + value: 91.90765492102065 + - type: precision + value: 91.05913325232888 + - type: recall + value: 93.681652490887 + - task: + type: BitextMining + dataset: + type: mteb/tatoeba-bitext-mining + name: MTEB Tatoeba (cym-eng) + config: cym-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - type: accuracy + value: 92.17391304347827 + - type: f1 + value: 89.97101449275361 + - type: precision + value: 88.96811594202899 + - type: recall + value: 92.17391304347827 + - task: + type: BitextMining + dataset: + type: mteb/tatoeba-bitext-mining + name: MTEB Tatoeba (kaz-eng) + config: kaz-eng + split: test + revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + metrics: + - 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type: dot_precision + value: 78.1165262000733 + - type: dot_recall + value: 82.06806282722513 + - type: euclidean_accuracy + value: 89.81061047075717 + - type: euclidean_ap + value: 87.11746919324248 + - type: euclidean_f1 + value: 80.04355498817256 + - type: euclidean_precision + value: 78.1165262000733 + - type: euclidean_recall + value: 82.06806282722513 + - type: manhattan_accuracy + value: 89.79508673885202 + - type: manhattan_ap + value: 87.11074390832218 + - type: manhattan_f1 + value: 80.13002540726349 + - type: manhattan_precision + value: 77.83826945412311 + - type: manhattan_recall + value: 82.56082537727133 + - type: max_accuracy + value: 89.81061047075717 + - type: max_ap + value: 87.11747055081017 + - type: max_f1 + value: 80.13002540726349 +--- \ No newline at end of file