diff --git "a/README.md" "b/README.md" --- "a/README.md" +++ "b/README.md" @@ -1,3 +1,5247 @@ +--- +tags: +- mteb +model-index: +- name: winberta + results: + - task: + type: Clustering + dataset: + type: PL-MTEB/8tags-clustering + name: MTEB 8TagsClustering + config: default + split: test + revision: None + metrics: + - type: v_measure + value: 4.6762575299584555 + - task: + type: Classification + dataset: + type: PL-MTEB/allegro-reviews + name: MTEB AllegroReviews + config: default + split: test + revision: None + metrics: + - type: accuracy + value: 24.890656063618295 + - type: f1 + value: 22.302214664290936 + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (en) + config: en + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 69.91044776119402 + - type: ap + value: 31.66723912472561 + - type: f1 + value: 63.421139457970746 + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (de) + config: de + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 54.111349036402565 + - type: ap + value: 71.1991959997261 + - type: f1 + value: 51.56958434326653 + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (en-ext) + config: en-ext + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 70.38230884557721 + - type: ap + value: 19.909214544678782 + - type: f1 + value: 57.875461279657294 + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (ja) + config: ja + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 53.9507494646681 + - type: ap + value: 11.599932987437649 + - type: f1 + value: 43.985879202841346 + - task: + type: Classification + dataset: + type: mteb/amazon_polarity + name: MTEB AmazonPolarityClassification + config: default + split: test + revision: e2d317d38cd51312af73b3d32a06d1a08b442046 + metrics: + - type: accuracy + value: 72.94987499999999 + - type: ap + value: 67.05052265683933 + - type: f1 + value: 72.74508057235695 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (zh) + config: zh + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 39.681999999999995 + - type: f1 + value: 37.89870143785791 + - task: + type: Classification + dataset: + type: DDSC/angry-tweets + name: MTEB AngryTweetsClassification + config: default + split: test + revision: 20b0e6081892e78179356fada741b7afa381443d + metrics: + - type: accuracy + value: 46.170009551098374 + - type: f1 + value: 45.00796485732147 + - task: + type: Clustering + dataset: + type: mteb/arxiv-clustering-p2p + name: MTEB ArxivClusteringP2P + config: default + split: test + revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d + metrics: + - type: v_measure + value: 33.69909330263927 + - task: + type: Clustering + dataset: + type: mteb/arxiv-clustering-s2s + name: MTEB ArxivClusteringS2S + config: default + split: test + revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 + metrics: + - type: v_measure + value: 23.04252711340139 + - task: + type: Reranking + dataset: + type: mteb/askubuntudupquestions-reranking + name: MTEB AskUbuntuDupQuestions + config: default + split: test + revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 + metrics: + - type: map + value: 53.987091172373944 + - type: mrr + value: 67.65840038693224 + - 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: 9.384133611691023 + - type: f1 + value: 9.25678496868476 + - type: precision + value: 9.204791728800078 + - type: recall + value: 9.384133611691023 + - 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: 17.719568567026194 + - type: f1 + value: 17.413603345806735 + - type: precision + value: 17.284183459067894 + - type: recall + value: 17.719568567026194 + - 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: 52.70523034291652 + - type: f1 + value: 51.97355963514606 + - type: precision + value: 51.642562994485395 + - type: recall + value: 52.70523034291652 + - 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: 89.0995260663507 + - type: f1 + value: 88.70458135860979 + - type: precision + value: 88.5202738283307 + - type: recall + value: 89.0995260663507 + - task: + type: Classification + dataset: + type: mteb/banking77 + name: MTEB Banking77Classification + config: default + split: test + revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 + metrics: + - type: accuracy + value: 64.12337662337661 + - type: f1 + value: 62.35908261257942 + - task: + type: Clustering + dataset: + type: mteb/biorxiv-clustering-p2p + name: MTEB BiorxivClusteringP2P + config: default + split: test + revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 + metrics: + - type: v_measure + value: 32.70437969303962 + - task: + type: Clustering + dataset: + type: mteb/biorxiv-clustering-s2s + name: MTEB BiorxivClusteringS2S + config: default + split: test + revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 + metrics: + - type: v_measure + value: 23.27850834359782 + - task: + type: Clustering + dataset: + type: slvnwhrl/blurbs-clustering-p2p + name: MTEB BlurbsClusteringP2P + config: default + split: test + revision: a2dd5b02a77de3466a3eaa98ae586b5610314496 + metrics: + - type: v_measure + value: 17.471535040494018 + - task: + type: Clustering + dataset: + type: slvnwhrl/blurbs-clustering-s2s + name: MTEB BlurbsClusteringS2S + config: default + split: test + revision: 9bfff9a7f8f6dc6ffc9da71c48dd48b68696471d + metrics: + - type: v_measure + value: 7.957798776861661 + - task: + type: Classification + dataset: + type: PL-MTEB/cbd + name: MTEB CBD + config: default + split: test + revision: None + metrics: + - type: accuracy + value: 53.78000000000001 + - type: ap + value: 16.030265142358818 + - type: f1 + value: 46.39936854646567 + - task: + type: PairClassification + dataset: + type: PL-MTEB/cdsce-pairclassification + name: MTEB CDSC-E + config: default + split: test + revision: None + metrics: + - type: cos_sim_accuracy + value: 82.69999999999999 + - type: cos_sim_ap + value: 43.50726455006939 + - type: cos_sim_f1 + value: 55.21472392638037 + - type: cos_sim_precision + value: 45.1505016722408 + - type: cos_sim_recall + value: 71.05263157894737 + - type: dot_accuracy + value: 82.69999999999999 + - type: dot_ap + value: 43.50726455006939 + - type: dot_f1 + value: 55.21472392638037 + - type: dot_precision + value: 45.1505016722408 + - type: dot_recall + value: 71.05263157894737 + - type: euclidean_accuracy + value: 82.69999999999999 + - type: euclidean_ap + value: 43.50726455006939 + - type: euclidean_f1 + value: 55.21472392638037 + - type: euclidean_precision + value: 45.1505016722408 + - type: euclidean_recall + value: 71.05263157894737 + - type: manhattan_accuracy + value: 83.1 + - type: manhattan_ap + value: 43.95534719205733 + - type: manhattan_f1 + value: 55.34351145038169 + - type: manhattan_precision + value: 43.41317365269461 + - type: manhattan_recall + value: 76.31578947368422 + - type: max_accuracy + value: 83.1 + - type: max_ap + value: 43.95534719205733 + - type: max_f1 + value: 55.34351145038169 + - task: + type: Clustering + dataset: + type: C-MTEB/CLSClusteringP2P + name: MTEB CLSClusteringP2P + config: default + split: test + revision: None + metrics: + - type: v_measure + value: 42.20892953002924 + - task: + type: Clustering + dataset: + type: C-MTEB/CLSClusteringS2S + name: MTEB CLSClusteringS2S + config: default + split: test + revision: None + metrics: + - type: v_measure + value: 40.33286164241634 + - task: + type: Reranking + dataset: + type: C-MTEB/CMedQAv1-reranking + name: MTEB CMedQAv1 + config: default + split: test + revision: None + metrics: + - type: map + value: 76.47170720756812 + - type: mrr + value: 79.89289682539682 + - task: + type: Reranking + dataset: + type: C-MTEB/CMedQAv2-reranking + name: MTEB CMedQAv2 + config: default + split: test + revision: None + metrics: + - type: map + value: 77.43675520157939 + - type: mrr + value: 81.11420634920636 + - task: + type: Retrieval + dataset: + type: C-MTEB/CmedqaRetrieval + name: MTEB CmedqaRetrieval + config: default + split: dev + revision: None + metrics: + - type: map_at_1 + value: 17.308 + - type: map_at_10 + value: 26.144000000000002 + - type: map_at_100 + value: 27.864 + - type: map_at_1000 + value: 28.032 + - type: map_at_3 + value: 23.058999999999997 + - type: map_at_5 + value: 24.724 + - type: mrr_at_1 + value: 27.206999999999997 + - type: mrr_at_10 + value: 34.287 + - type: mrr_at_100 + value: 35.375 + - type: mrr_at_1000 + value: 35.449999999999996 + - type: mrr_at_3 + value: 31.912000000000003 + - type: mrr_at_5 + value: 33.222 + - type: ndcg_at_1 + value: 27.206999999999997 + - type: ndcg_at_10 + value: 31.789 + - type: ndcg_at_100 + value: 39.251000000000005 + - type: ndcg_at_1000 + value: 42.536 + - type: ndcg_at_3 + value: 27.503 + - type: ndcg_at_5 + value: 29.226999999999997 + - type: precision_at_1 + value: 27.206999999999997 + - type: precision_at_10 + value: 7.3069999999999995 + - type: precision_at_100 + value: 1.345 + - type: precision_at_1000 + value: 0.17700000000000002 + - type: precision_at_3 + value: 15.854 + - type: precision_at_5 + value: 11.593 + - type: recall_at_1 + value: 17.308 + - type: recall_at_10 + value: 40.474 + - type: recall_at_100 + value: 71.897 + - type: recall_at_1000 + value: 94.375 + - type: recall_at_3 + value: 27.563 + - type: recall_at_5 + value: 32.944 + - task: + type: PairClassification + dataset: + type: C-MTEB/CMNLI + name: MTEB Cmnli + config: default + split: validation + revision: None + metrics: + - type: cos_sim_accuracy + value: 76.11545399879735 + - type: cos_sim_ap + value: 84.09842598179311 + - type: cos_sim_f1 + value: 77.66760077602932 + - type: cos_sim_precision + value: 72.04559088182364 + - type: cos_sim_recall + value: 84.24129062426935 + - type: dot_accuracy + value: 76.11545399879735 + - type: dot_ap + value: 84.11185112340806 + - type: dot_f1 + value: 77.66760077602932 + - type: dot_precision + value: 72.04559088182364 + - type: dot_recall + value: 84.24129062426935 + - type: euclidean_accuracy + value: 76.11545399879735 + - type: euclidean_ap + value: 84.09842259671359 + - type: euclidean_f1 + value: 77.66760077602932 + - type: euclidean_precision + value: 72.04559088182364 + - type: euclidean_recall + value: 84.24129062426935 + - type: manhattan_accuracy + value: 76.12748045700542 + - type: manhattan_ap + value: 84.07246090513767 + - type: manhattan_f1 + value: 77.41864555848726 + - type: manhattan_precision + value: 73.064951234696 + - type: manhattan_recall + value: 82.3240589198036 + - type: max_accuracy + value: 76.12748045700542 + - type: max_ap + value: 84.11185112340806 + - type: max_f1 + value: 77.66760077602932 + - task: + type: Retrieval + dataset: + type: C-MTEB/CovidRetrieval + name: MTEB CovidRetrieval + config: default + split: dev + revision: None + metrics: + - type: map_at_1 + value: 53.266999999999996 + - type: map_at_10 + value: 61.807 + - type: map_at_100 + value: 62.342 + - type: map_at_1000 + value: 62.36000000000001 + - type: map_at_3 + value: 59.255 + - type: map_at_5 + value: 60.757000000000005 + - type: mrr_at_1 + value: 53.21399999999999 + - type: mrr_at_10 + value: 61.760999999999996 + - type: mrr_at_100 + value: 62.283 + - type: mrr_at_1000 + value: 62.300999999999995 + - type: mrr_at_3 + value: 59.272999999999996 + - type: mrr_at_5 + value: 60.727 + - type: ndcg_at_1 + value: 53.319 + - type: ndcg_at_10 + value: 66.334 + - type: ndcg_at_100 + value: 69.128 + - type: ndcg_at_1000 + value: 69.651 + - type: ndcg_at_3 + value: 61.105 + - type: ndcg_at_5 + value: 63.806 + - type: precision_at_1 + value: 53.319 + - type: precision_at_10 + value: 8.145 + - type: precision_at_100 + value: 0.9530000000000001 + - type: precision_at_1000 + value: 0.099 + - type: precision_at_3 + value: 22.234 + - type: precision_at_5 + value: 14.668000000000001 + - type: recall_at_1 + value: 53.266999999999996 + - type: recall_at_10 + value: 80.717 + - type: recall_at_100 + value: 94.204 + - type: recall_at_1000 + value: 98.419 + - type: recall_at_3 + value: 66.359 + - type: recall_at_5 + value: 72.94500000000001 + - task: + type: Classification + dataset: + type: DDSC/dkhate + name: MTEB DKHateClassification + config: default + split: test + revision: 59d12749a3c91a186063c7d729ec392fda94681c + metrics: + - type: accuracy + value: 55.89665653495442 + - type: ap + value: 13.442306681200666 + - type: f1 + value: 45.52792790494033 + - task: + type: Classification + dataset: + type: AI-Sweden/SuperLim + name: MTEB DalajClassification + config: default + split: test + revision: 7ebf0b4caa7b2ae39698a889de782c09e6f5ee56 + metrics: + - type: accuracy + value: 49.77477477477478 + - type: ap + value: 49.891019810950006 + - type: f1 + value: 49.271004191082156 + - task: + type: Classification + dataset: + type: danish_political_comments + name: MTEB DanishPoliticalCommentsClassification + config: default + split: train + revision: edbb03726c04a0efab14fc8c3b8b79e4d420e5a1 + metrics: + - type: accuracy + value: 28.334721065778517 + - type: f1 + value: 25.604541019064698 + - task: + type: Retrieval + dataset: + type: C-MTEB/DuRetrieval + name: MTEB DuRetrieval + config: default + split: dev + revision: None + metrics: + - type: map_at_1 + value: 21.575 + - type: map_at_10 + value: 65.302 + - type: map_at_100 + value: 68.85 + - type: map_at_1000 + value: 68.94200000000001 + - type: map_at_3 + value: 44.824000000000005 + - type: map_at_5 + value: 56.303000000000004 + - type: mrr_at_1 + value: 77.9 + - type: mrr_at_10 + value: 84.612 + - type: mrr_at_100 + value: 84.774 + - type: mrr_at_1000 + value: 84.78099999999999 + - type: mrr_at_3 + value: 84.05 + - type: mrr_at_5 + value: 84.42699999999999 + - type: ndcg_at_1 + value: 77.9 + - type: ndcg_at_10 + value: 75.247 + - type: ndcg_at_100 + value: 80.252 + - type: ndcg_at_1000 + value: 81.21000000000001 + - type: ndcg_at_3 + value: 73.664 + - type: ndcg_at_5 + value: 72.36200000000001 + - type: precision_at_1 + value: 77.9 + - type: precision_at_10 + value: 36.875 + - type: precision_at_100 + value: 4.607 + - type: precision_at_1000 + value: 0.483 + - type: precision_at_3 + value: 66.567 + - type: precision_at_5 + value: 55.97 + - type: recall_at_1 + value: 21.575 + - type: recall_at_10 + value: 77.268 + - type: recall_at_100 + value: 92.706 + - type: recall_at_1000 + value: 97.721 + - type: recall_at_3 + value: 48.42 + - type: recall_at_5 + value: 62.92 + - task: + type: Retrieval + dataset: + type: C-MTEB/EcomRetrieval + name: MTEB EcomRetrieval + config: default + split: dev + revision: None + metrics: + - type: map_at_1 + value: 41.199999999999996 + - type: map_at_10 + value: 52.12 + - type: map_at_100 + value: 52.878 + - type: map_at_1000 + value: 52.898 + - type: map_at_3 + value: 49.6 + - type: map_at_5 + value: 51.23 + - type: mrr_at_1 + value: 41.199999999999996 + - type: mrr_at_10 + value: 52.12 + - type: mrr_at_100 + value: 52.878 + - type: mrr_at_1000 + value: 52.898 + - type: mrr_at_3 + value: 49.6 + - type: mrr_at_5 + value: 51.23 + - type: ndcg_at_1 + value: 41.199999999999996 + - type: ndcg_at_10 + value: 57.321 + - type: ndcg_at_100 + value: 61.019 + - type: ndcg_at_1000 + value: 61.638000000000005 + - type: ndcg_at_3 + value: 52.20399999999999 + - type: ndcg_at_5 + value: 55.177 + - type: precision_at_1 + value: 41.199999999999996 + - type: precision_at_10 + value: 7.359999999999999 + - type: precision_at_100 + value: 0.909 + - type: precision_at_1000 + value: 0.096 + - type: precision_at_3 + value: 19.900000000000002 + - type: precision_at_5 + value: 13.4 + - type: recall_at_1 + value: 41.199999999999996 + - type: recall_at_10 + value: 73.6 + - type: recall_at_100 + value: 90.9 + - type: recall_at_1000 + value: 95.89999999999999 + - type: recall_at_3 + value: 59.699999999999996 + - type: recall_at_5 + value: 67.0 + - task: + type: Classification + dataset: + type: mteb/emotion + name: MTEB EmotionClassification + config: default + split: test + revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 + metrics: + - type: accuracy + value: 31.514999999999997 + - type: f1 + value: 26.58222460337632 + - task: + type: Classification + dataset: + type: C-MTEB/IFlyTek-classification + name: MTEB IFlyTek + config: default + split: validation + revision: None + metrics: + - type: accuracy + value: 47.00269334359369 + - type: f1 + value: 35.35096851514498 + - task: + type: Classification + dataset: + type: mteb/imdb + name: MTEB ImdbClassification + config: default + split: test + revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 + metrics: + - type: accuracy + value: 65.1704 + - type: ap + value: 59.97217670850408 + - type: f1 + value: 64.92509757731281 + - task: + type: Classification + dataset: + type: C-MTEB/JDReview-classification + name: MTEB JDReview + config: default + split: test + revision: None + metrics: + - type: accuracy + value: 77.33583489681051 + - type: ap + value: 39.86267586660359 + - type: f1 + value: 71.07975139386433 + - task: + type: Classification + dataset: + type: DDSC/lcc + name: MTEB LccSentimentClassification + config: default + split: test + revision: de7ba3406ee55ea2cc52a0a41408fa6aede6d3c6 + metrics: + - type: accuracy + value: 42.266666666666666 + - type: f1 + value: 40.963628523464294 + - task: + type: Reranking + dataset: + type: C-MTEB/Mmarco-reranking + name: MTEB MMarcoReranking + config: default + split: dev + revision: None + metrics: + - type: map + value: 24.311577701296468 + - type: mrr + value: 23.545238095238094 + - task: + type: Retrieval + dataset: + type: C-MTEB/MMarcoRetrieval + name: MTEB MMarcoRetrieval + config: default + split: dev + revision: None + metrics: + - type: map_at_1 + value: 55.757 + - type: map_at_10 + value: 64.866 + - type: map_at_100 + value: 65.398 + - type: map_at_1000 + value: 65.41900000000001 + - type: map_at_3 + value: 62.634 + - type: map_at_5 + value: 63.993 + - type: mrr_at_1 + value: 57.794000000000004 + - type: mrr_at_10 + value: 65.661 + - type: mrr_at_100 + value: 66.137 + - type: mrr_at_1000 + value: 66.156 + - type: mrr_at_3 + value: 63.625 + - type: mrr_at_5 + value: 64.863 + - type: ndcg_at_1 + value: 57.794000000000004 + - type: ndcg_at_10 + value: 69.107 + - type: ndcg_at_100 + value: 71.56700000000001 + - type: ndcg_at_1000 + value: 72.146 + - type: ndcg_at_3 + value: 64.756 + - type: ndcg_at_5 + value: 67.094 + - type: precision_at_1 + value: 57.794000000000004 + - type: precision_at_10 + value: 8.656 + - type: precision_at_100 + value: 0.989 + - type: precision_at_1000 + value: 0.104 + - type: precision_at_3 + value: 24.623 + - type: precision_at_5 + value: 15.991 + - type: recall_at_1 + value: 55.757 + - type: recall_at_10 + value: 81.55799999999999 + - type: recall_at_100 + value: 92.826 + - type: recall_at_1000 + value: 97.38900000000001 + - type: recall_at_3 + value: 69.903 + - type: recall_at_5 + value: 75.497 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (en) + config: en + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 81.20611035111718 + - type: f1 + value: 80.7763576575655 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (de) + config: de + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 57.22175260636799 + - type: f1 + value: 53.81709852420842 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (es) + config: es + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 58.40226817878585 + - type: f1 + value: 57.10362737664957 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (fr) + config: fr + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + 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: 37.80766644250168 + - type: f1 + value: 35.80909783577956 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (te) + config: te + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 34.5965030262273 + - type: f1 + value: 33.552796756090274 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (th) + config: th + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 57.38399462004035 + - type: f1 + value: 53.92067950173084 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (tl) + config: tl + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - 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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: 75.69266980497646 + - type: f1 + value: 75.03810873420112 + - 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: 71.96032279757902 + - type: f1 + value: 71.05327209484685 + - task: + type: Retrieval + dataset: + type: C-MTEB/MedicalRetrieval + name: MTEB MedicalRetrieval + config: default + split: dev + revision: None + metrics: + - type: map_at_1 + value: 41.3 + - type: map_at_10 + value: 46.753 + - type: map_at_100 + value: 47.344 + - type: map_at_1000 + value: 47.410000000000004 + - type: map_at_3 + value: 45.533 + - type: map_at_5 + value: 46.248 + - 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type: v_measure + value: 31.936450521634473 + - task: + type: Clustering + dataset: + type: mteb/medrxiv-clustering-s2s + name: MTEB MedrxivClusteringS2S + config: default + split: test + revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 + metrics: + - type: v_measure + value: 28.047583673034808 + - task: + type: Classification + dataset: + type: C-MTEB/MultilingualSentiment-classification + name: MTEB MultilingualSentiment + config: default + split: validation + revision: None + metrics: + - type: accuracy + value: 69.17 + - type: f1 + value: 68.72937085716812 + - task: + type: Classification + dataset: + type: ScandEval/norec-mini + name: MTEB NoRecClassification + config: default + split: test + revision: 07b99ab3363c2e7f8f87015b01c21f4d9b917ce3 + metrics: + - type: accuracy + value: 43.5302734375 + - type: f1 + value: 40.85343331953274 + - task: + type: Classification + dataset: + type: NbAiLab/norwegian_parliament + name: MTEB NorwegianParliament + config: default + split: test + revision: f7393532774c66312378d30b197610b43d751972 + metrics: + - type: accuracy + value: 54.900000000000006 + - type: ap + value: 52.72583551130585 + - type: f1 + value: 54.72449827992906 + - task: + type: PairClassification + dataset: + type: C-MTEB/OCNLI + name: MTEB Ocnli + config: default + split: validation + revision: None + metrics: + - type: cos_sim_accuracy + value: 70.27612344342177 + - type: cos_sim_ap + value: 73.44116481862304 + - type: cos_sim_f1 + value: 72.28607918263091 + - type: cos_sim_precision + value: 60.556348074179745 + - type: cos_sim_recall + value: 89.65153115100317 + - type: dot_accuracy + value: 70.27612344342177 + - type: dot_ap + value: 73.44116481862304 + - type: dot_f1 + value: 72.28607918263091 + - type: dot_precision + value: 60.556348074179745 + - type: dot_recall + value: 89.65153115100317 + - type: euclidean_accuracy + value: 70.27612344342177 + - type: euclidean_ap + value: 73.44116481862304 + - type: euclidean_f1 + value: 72.28607918263091 + - type: euclidean_precision + value: 60.556348074179745 + - type: euclidean_recall + value: 89.65153115100317 + - 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type: max_f1 + value: 75.44529262086515 + - task: + type: PairClassification + dataset: + type: PL-MTEB/psc-pairclassification + name: MTEB PSC + config: default + split: test + revision: None + metrics: + - type: cos_sim_accuracy + value: 83.20964749536178 + - type: cos_sim_ap + value: 77.83239751517948 + - type: cos_sim_f1 + value: 70.17045454545455 + - type: cos_sim_precision + value: 65.69148936170212 + - type: cos_sim_recall + value: 75.3048780487805 + - type: dot_accuracy + value: 83.20964749536178 + - type: dot_ap + value: 77.83239751517948 + - type: dot_f1 + value: 70.17045454545455 + - type: dot_precision + value: 65.69148936170212 + - type: dot_recall + value: 75.3048780487805 + - type: euclidean_accuracy + value: 83.20964749536178 + - type: euclidean_ap + value: 77.83239751517948 + - type: euclidean_f1 + value: 70.17045454545455 + - type: euclidean_precision + value: 65.69148936170212 + - type: euclidean_recall + value: 75.3048780487805 + - type: manhattan_accuracy + value: 82.74582560296847 + - type: manhattan_ap + value: 77.71434418573791 + - type: manhattan_f1 + value: 69.89720998531571 + - type: manhattan_precision + value: 67.42209631728045 + - type: manhattan_recall + value: 72.5609756097561 + - type: max_accuracy + value: 83.20964749536178 + - type: max_ap + value: 77.83239751517948 + - type: max_f1 + value: 70.17045454545455 + - task: + type: Classification + dataset: + type: PL-MTEB/polemo2_in + name: MTEB PolEmo2.0-IN + config: default + split: test + revision: None + metrics: + - type: accuracy + value: 40.96952908587258 + - type: f1 + value: 40.34996985581621 + - task: + type: Classification + dataset: + type: PL-MTEB/polemo2_out + name: MTEB PolEmo2.0-OUT + config: default + split: test + revision: None + metrics: + - type: accuracy + value: 17.57085020242915 + - type: f1 + value: 13.699227854176883 + - task: + type: Clustering + dataset: + type: mteb/reddit-clustering + name: MTEB RedditClustering + config: default + split: test + revision: 24640382cdbf8abc73003fb0fa6d111a705499eb + metrics: + - type: v_measure + value: 30.831283224792134 + - task: + type: Clustering + dataset: + type: mteb/reddit-clustering-p2p + name: MTEB RedditClusteringP2P + config: default + split: test + revision: 282350215ef01743dc01b456c7f5241fa8937f16 + metrics: + - type: v_measure + value: 46.29339268141013 + - task: + type: PairClassification + dataset: + type: PL-MTEB/sicke-pl-pairclassification + name: MTEB SICK-E-PL + config: default + split: test + revision: None + metrics: + - type: cos_sim_accuracy + value: 73.11455360782715 + - type: cos_sim_ap + value: 46.51191750197438 + - type: cos_sim_f1 + value: 53.48066298342542 + - type: cos_sim_precision + value: 43.682310469314075 + - type: cos_sim_recall + value: 68.94586894586895 + - type: dot_accuracy + value: 73.11455360782715 + - type: dot_ap + value: 46.511775041787075 + - type: dot_f1 + value: 53.48066298342542 + - type: dot_precision + value: 43.682310469314075 + - type: dot_recall + value: 68.94586894586895 + - type: euclidean_accuracy + value: 73.11455360782715 + - 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type: accuracy + value: 49.8193359375 + - type: ap + value: 49.91266630748165 + - type: f1 + value: 49.56571584707715 + - task: + type: PairClassification + dataset: + type: mteb/sprintduplicatequestions-pairclassification + name: MTEB SprintDuplicateQuestions + config: default + split: test + revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 + metrics: + - type: cos_sim_accuracy + value: 99.71188118811881 + - type: cos_sim_ap + value: 90.71339192859018 + - type: cos_sim_f1 + value: 85.26740665993945 + - type: cos_sim_precision + value: 86.0488798370672 + - type: cos_sim_recall + value: 84.5 + - type: dot_accuracy + value: 99.71188118811881 + - type: dot_ap + value: 90.71339192859018 + - type: dot_f1 + value: 85.26740665993945 + - type: dot_precision + value: 86.0488798370672 + - type: dot_recall + value: 84.5 + - type: euclidean_accuracy + value: 99.71188118811881 + - type: euclidean_ap + value: 90.71339192859018 + - type: euclidean_f1 + value: 85.26740665993945 + - type: euclidean_precision + value: 86.0488798370672 + - 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type: accuracy + value: 84.33999999999999 + - type: ap + value: 65.75892461630445 + - type: f1 + value: 82.55845192469975 +--- + --- license: apache-2.0 ---