| --- |
| license: apache-2.0 |
| pipeline_tag: sentence-similarity |
| inference: false |
| tags: |
| - sentence-transformers |
| - feature-extraction |
| - sentence-similarity |
| - mteb |
| language: en |
| datasets: |
| - s2orc |
| - flax-sentence-embeddings/stackexchange_title_body_jsonl |
| - flax-sentence-embeddings/stackexchange_titlebody_best_voted_answer_jsonl |
| - flax-sentence-embeddings/stackexchange_title_best_voted_answer_jsonl |
| - flax-sentence-embeddings/stackexchange_titlebody_best_and_down_voted_answer_jsonl |
| - sentence-transformers/reddit-title-body |
| - msmarco |
| - gooaq |
| - yahoo_answers_topics |
| - code_search_net |
| - search_qa |
| - eli5 |
| - snli |
| - multi_nli |
| - wikihow |
| - natural_questions |
| - trivia_qa |
| - embedding-data/sentence-compression |
| - embedding-data/flickr30k-captions |
| - embedding-data/altlex |
| - embedding-data/simple-wiki |
| - embedding-data/QQP |
| - embedding-data/SPECTER |
| - embedding-data/PAQ_pairs |
| - embedding-data/WikiAnswers |
| - sentence-transformers/embedding-training-data |
| model-index: |
| - name: lodestone-base-4096-v1 |
| results: |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/amazon_counterfactual |
| name: MTEB AmazonCounterfactualClassification (en) |
| config: en |
| split: test |
| revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
| metrics: |
| - type: accuracy |
| value: 69.7313432835821 |
| - type: ap |
| value: 31.618259511417733 |
| - type: f1 |
| value: 63.30313825394228 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/amazon_polarity |
| name: MTEB AmazonPolarityClassification |
| config: default |
| split: test |
| revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
| metrics: |
| - type: accuracy |
| value: 86.89837499999999 |
| - type: ap |
| value: 82.39500885672128 |
| - type: f1 |
| value: 86.87317947399657 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/amazon_reviews_multi |
| name: MTEB AmazonReviewsClassification (en) |
| config: en |
| split: test |
| revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
| metrics: |
| - type: accuracy |
| value: 44.05 |
| - type: f1 |
| value: 42.67624383248947 |
| - task: |
| type: Retrieval |
| dataset: |
| type: arguana |
| name: MTEB ArguAna |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 26.173999999999996 |
| - type: map_at_10 |
| value: 40.976 |
| - type: map_at_100 |
| value: 42.067 |
| - type: map_at_1000 |
| value: 42.075 |
| - type: map_at_3 |
| value: 35.917 |
| - type: map_at_5 |
| value: 38.656 |
| - type: mrr_at_1 |
| value: 26.814 |
| - type: mrr_at_10 |
| value: 41.252 |
| - type: mrr_at_100 |
| value: 42.337 |
| - type: mrr_at_1000 |
| value: 42.345 |
| - type: mrr_at_3 |
| value: 36.226 |
| - type: mrr_at_5 |
| value: 38.914 |
| - type: ndcg_at_1 |
| value: 26.173999999999996 |
| - type: ndcg_at_10 |
| value: 49.819 |
| - type: ndcg_at_100 |
| value: 54.403999999999996 |
| - type: ndcg_at_1000 |
| value: 54.59 |
| - type: ndcg_at_3 |
| value: 39.231 |
| - type: ndcg_at_5 |
| value: 44.189 |
| - type: precision_at_1 |
| value: 26.173999999999996 |
| - type: precision_at_10 |
| value: 7.838000000000001 |
| - type: precision_at_100 |
| value: 0.9820000000000001 |
| - type: precision_at_1000 |
| value: 0.1 |
| - type: precision_at_3 |
| value: 16.287 |
| - type: precision_at_5 |
| value: 12.191 |
| - type: recall_at_1 |
| value: 26.173999999999996 |
| - type: recall_at_10 |
| value: 78.378 |
| - type: recall_at_100 |
| value: 98.222 |
| - type: recall_at_1000 |
| value: 99.644 |
| - type: recall_at_3 |
| value: 48.862 |
| - type: recall_at_5 |
| value: 60.953 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/arxiv-clustering-p2p |
| name: MTEB ArxivClusteringP2P |
| config: default |
| split: test |
| revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
| metrics: |
| - type: v_measure |
| value: 42.31689035788179 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/arxiv-clustering-s2s |
| name: MTEB ArxivClusteringS2S |
| config: default |
| split: test |
| revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
| metrics: |
| - type: v_measure |
| value: 31.280245136660984 |
| - task: |
| type: Reranking |
| dataset: |
| type: mteb/askubuntudupquestions-reranking |
| name: MTEB AskUbuntuDupQuestions |
| config: default |
| split: test |
| revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
| metrics: |
| - type: map |
| value: 58.79109720839415 |
| - type: mrr |
| value: 71.79615705931495 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/biosses-sts |
| name: MTEB BIOSSES |
| config: default |
| split: test |
| revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
| metrics: |
| - type: cos_sim_pearson |
| value: 76.44918756608115 |
| - type: cos_sim_spearman |
| value: 70.86607256286257 |
| - type: euclidean_pearson |
| value: 74.12154678100815 |
| - type: euclidean_spearman |
| value: 70.86607256286257 |
| - type: manhattan_pearson |
| value: 74.0078626964417 |
| - type: manhattan_spearman |
| value: 70.68353828321327 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/banking77 |
| name: MTEB Banking77Classification |
| config: default |
| split: test |
| revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
| metrics: |
| - type: accuracy |
| value: 75.40584415584415 |
| - type: f1 |
| value: 74.29514617572676 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/biorxiv-clustering-p2p |
| name: MTEB BiorxivClusteringP2P |
| config: default |
| split: test |
| revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
| metrics: |
| - type: v_measure |
| value: 37.41860080664014 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/biorxiv-clustering-s2s |
| name: MTEB BiorxivClusteringS2S |
| config: default |
| split: test |
| revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
| metrics: |
| - type: v_measure |
| value: 29.319217023090705 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackAndroidRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 26.595000000000002 |
| - type: map_at_10 |
| value: 36.556 |
| - type: map_at_100 |
| value: 37.984 |
| - type: map_at_1000 |
| value: 38.134 |
| - type: map_at_3 |
| value: 33.417 |
| - type: map_at_5 |
| value: 35.160000000000004 |
| - type: mrr_at_1 |
| value: 32.761 |
| - type: mrr_at_10 |
| value: 41.799 |
| - type: mrr_at_100 |
| value: 42.526 |
| - type: mrr_at_1000 |
| value: 42.582 |
| - type: mrr_at_3 |
| value: 39.39 |
| - type: mrr_at_5 |
| value: 40.727000000000004 |
| - type: ndcg_at_1 |
| value: 32.761 |
| - type: ndcg_at_10 |
| value: 42.549 |
| - type: ndcg_at_100 |
| value: 47.915 |
| - type: ndcg_at_1000 |
| value: 50.475 |
| - type: ndcg_at_3 |
| value: 37.93 |
| - type: ndcg_at_5 |
| value: 39.939 |
| - type: precision_at_1 |
| value: 32.761 |
| - type: precision_at_10 |
| value: 8.312 |
| - type: precision_at_100 |
| value: 1.403 |
| - type: precision_at_1000 |
| value: 0.197 |
| - type: precision_at_3 |
| value: 18.741 |
| - type: precision_at_5 |
| value: 13.447999999999999 |
| - type: recall_at_1 |
| value: 26.595000000000002 |
| - type: recall_at_10 |
| value: 54.332 |
| - type: recall_at_100 |
| value: 76.936 |
| - type: recall_at_1000 |
| value: 93.914 |
| - type: recall_at_3 |
| value: 40.666000000000004 |
| - type: recall_at_5 |
| value: 46.513 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackEnglishRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 22.528000000000002 |
| - type: map_at_10 |
| value: 30.751 |
| - type: map_at_100 |
| value: 31.855 |
| - type: map_at_1000 |
| value: 31.972 |
| - type: map_at_3 |
| value: 28.465 |
| - type: map_at_5 |
| value: 29.738 |
| - type: mrr_at_1 |
| value: 28.662 |
| - type: mrr_at_10 |
| value: 35.912 |
| - type: mrr_at_100 |
| value: 36.726 |
| - type: mrr_at_1000 |
| value: 36.777 |
| - type: mrr_at_3 |
| value: 34.013 |
| - type: mrr_at_5 |
| value: 35.156 |
| - type: ndcg_at_1 |
| value: 28.662 |
| - type: ndcg_at_10 |
| value: 35.452 |
| - type: ndcg_at_100 |
| value: 40.1 |
| - type: ndcg_at_1000 |
| value: 42.323 |
| - type: ndcg_at_3 |
| value: 32.112 |
| - type: ndcg_at_5 |
| value: 33.638 |
| - type: precision_at_1 |
| value: 28.662 |
| - type: precision_at_10 |
| value: 6.688 |
| - type: precision_at_100 |
| value: 1.13 |
| - type: precision_at_1000 |
| value: 0.16 |
| - type: precision_at_3 |
| value: 15.562999999999999 |
| - type: precision_at_5 |
| value: 11.019 |
| - type: recall_at_1 |
| value: 22.528000000000002 |
| - type: recall_at_10 |
| value: 43.748 |
| - type: recall_at_100 |
| value: 64.235 |
| - type: recall_at_1000 |
| value: 78.609 |
| - type: recall_at_3 |
| value: 33.937 |
| - type: recall_at_5 |
| value: 38.234 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackGamingRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 33.117999999999995 |
| - type: map_at_10 |
| value: 44.339 |
| - type: map_at_100 |
| value: 45.367000000000004 |
| - type: map_at_1000 |
| value: 45.437 |
| - type: map_at_3 |
| value: 41.195 |
| - type: map_at_5 |
| value: 42.922 |
| - type: mrr_at_1 |
| value: 38.37 |
| - type: mrr_at_10 |
| value: 47.786 |
| - type: mrr_at_100 |
| value: 48.522 |
| - type: mrr_at_1000 |
| value: 48.567 |
| - type: mrr_at_3 |
| value: 45.371 |
| - type: mrr_at_5 |
| value: 46.857 |
| - type: ndcg_at_1 |
| value: 38.37 |
| - type: ndcg_at_10 |
| value: 50.019999999999996 |
| - type: ndcg_at_100 |
| value: 54.36299999999999 |
| - type: ndcg_at_1000 |
| value: 55.897 |
| - type: ndcg_at_3 |
| value: 44.733000000000004 |
| - type: ndcg_at_5 |
| value: 47.292 |
| - type: precision_at_1 |
| value: 38.37 |
| - type: precision_at_10 |
| value: 8.288 |
| - type: precision_at_100 |
| value: 1.139 |
| - type: precision_at_1000 |
| value: 0.132 |
| - type: precision_at_3 |
| value: 20.293 |
| - type: precision_at_5 |
| value: 14.107 |
| - type: recall_at_1 |
| value: 33.117999999999995 |
| - type: recall_at_10 |
| value: 63.451 |
| - type: recall_at_100 |
| value: 82.767 |
| - type: recall_at_1000 |
| value: 93.786 |
| - type: recall_at_3 |
| value: 48.964999999999996 |
| - type: recall_at_5 |
| value: 55.358 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackGisRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 16.028000000000002 |
| - type: map_at_10 |
| value: 23.186999999999998 |
| - type: map_at_100 |
| value: 24.236 |
| - type: map_at_1000 |
| value: 24.337 |
| - type: map_at_3 |
| value: 20.816000000000003 |
| - type: map_at_5 |
| value: 22.311 |
| - type: mrr_at_1 |
| value: 17.514 |
| - type: mrr_at_10 |
| value: 24.84 |
| - type: mrr_at_100 |
| value: 25.838 |
| - type: mrr_at_1000 |
| value: 25.924999999999997 |
| - type: mrr_at_3 |
| value: 22.542 |
| - type: mrr_at_5 |
| value: 24.04 |
| - type: ndcg_at_1 |
| value: 17.514 |
| - type: ndcg_at_10 |
| value: 27.391 |
| - type: ndcg_at_100 |
| value: 32.684999999999995 |
| - type: ndcg_at_1000 |
| value: 35.367 |
| - type: ndcg_at_3 |
| value: 22.820999999999998 |
| - type: ndcg_at_5 |
| value: 25.380999999999997 |
| - type: precision_at_1 |
| value: 17.514 |
| - type: precision_at_10 |
| value: 4.463 |
| - type: precision_at_100 |
| value: 0.745 |
| - type: precision_at_1000 |
| value: 0.101 |
| - type: precision_at_3 |
| value: 10.019 |
| - type: precision_at_5 |
| value: 7.457999999999999 |
| - type: recall_at_1 |
| value: 16.028000000000002 |
| - type: recall_at_10 |
| value: 38.81 |
| - type: recall_at_100 |
| value: 63.295 |
| - type: recall_at_1000 |
| value: 83.762 |
| - type: recall_at_3 |
| value: 26.604 |
| - type: recall_at_5 |
| value: 32.727000000000004 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackMathematicaRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 11.962 |
| - type: map_at_10 |
| value: 17.218 |
| - type: map_at_100 |
| value: 18.321 |
| - type: map_at_1000 |
| value: 18.455 |
| - type: map_at_3 |
| value: 15.287999999999998 |
| - type: map_at_5 |
| value: 16.417 |
| - type: mrr_at_1 |
| value: 14.677000000000001 |
| - type: mrr_at_10 |
| value: 20.381 |
| - type: mrr_at_100 |
| value: 21.471999999999998 |
| - type: mrr_at_1000 |
| value: 21.566 |
| - type: mrr_at_3 |
| value: 18.448999999999998 |
| - type: mrr_at_5 |
| value: 19.587 |
| - type: ndcg_at_1 |
| value: 14.677000000000001 |
| - type: ndcg_at_10 |
| value: 20.86 |
| - type: ndcg_at_100 |
| value: 26.519 |
| - type: ndcg_at_1000 |
| value: 30.020000000000003 |
| - type: ndcg_at_3 |
| value: 17.208000000000002 |
| - type: ndcg_at_5 |
| value: 19.037000000000003 |
| - type: precision_at_1 |
| value: 14.677000000000001 |
| - type: precision_at_10 |
| value: 3.856 |
| - type: precision_at_100 |
| value: 0.7889999999999999 |
| - type: precision_at_1000 |
| value: 0.124 |
| - type: precision_at_3 |
| value: 8.043 |
| - type: precision_at_5 |
| value: 6.069999999999999 |
| - type: recall_at_1 |
| value: 11.962 |
| - type: recall_at_10 |
| value: 28.994999999999997 |
| - type: recall_at_100 |
| value: 54.071999999999996 |
| - type: recall_at_1000 |
| value: 79.309 |
| - type: recall_at_3 |
| value: 19.134999999999998 |
| - type: recall_at_5 |
| value: 23.727999999999998 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackPhysicsRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 22.764 |
| - type: map_at_10 |
| value: 31.744 |
| - type: map_at_100 |
| value: 33.037 |
| - type: map_at_1000 |
| value: 33.156 |
| - type: map_at_3 |
| value: 29.015 |
| - type: map_at_5 |
| value: 30.434 |
| - type: mrr_at_1 |
| value: 28.296 |
| - type: mrr_at_10 |
| value: 37.03 |
| - type: mrr_at_100 |
| value: 37.902 |
| - type: mrr_at_1000 |
| value: 37.966 |
| - type: mrr_at_3 |
| value: 34.568 |
| - type: mrr_at_5 |
| value: 35.786 |
| - type: ndcg_at_1 |
| value: 28.296 |
| - type: ndcg_at_10 |
| value: 37.289 |
| - type: ndcg_at_100 |
| value: 42.787 |
| - type: ndcg_at_1000 |
| value: 45.382 |
| - type: ndcg_at_3 |
| value: 32.598 |
| - type: ndcg_at_5 |
| value: 34.521 |
| - type: precision_at_1 |
| value: 28.296 |
| - type: precision_at_10 |
| value: 6.901 |
| - type: precision_at_100 |
| value: 1.135 |
| - type: precision_at_1000 |
| value: 0.152 |
| - type: precision_at_3 |
| value: 15.367 |
| - type: precision_at_5 |
| value: 11.03 |
| - type: recall_at_1 |
| value: 22.764 |
| - type: recall_at_10 |
| value: 48.807 |
| - type: recall_at_100 |
| value: 71.859 |
| - type: recall_at_1000 |
| value: 89.606 |
| - type: recall_at_3 |
| value: 35.594 |
| - type: recall_at_5 |
| value: 40.541 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackProgrammersRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 19.742 |
| - type: map_at_10 |
| value: 27.741 |
| - type: map_at_100 |
| value: 29.323 |
| - type: map_at_1000 |
| value: 29.438 |
| - type: map_at_3 |
| value: 25.217 |
| - type: map_at_5 |
| value: 26.583000000000002 |
| - type: mrr_at_1 |
| value: 24.657999999999998 |
| - type: mrr_at_10 |
| value: 32.407000000000004 |
| - type: mrr_at_100 |
| value: 33.631 |
| - type: mrr_at_1000 |
| value: 33.686 |
| - type: mrr_at_3 |
| value: 30.194 |
| - type: mrr_at_5 |
| value: 31.444 |
| - type: ndcg_at_1 |
| value: 24.657999999999998 |
| - type: ndcg_at_10 |
| value: 32.614 |
| - type: ndcg_at_100 |
| value: 39.61 |
| - type: ndcg_at_1000 |
| value: 42.114000000000004 |
| - type: ndcg_at_3 |
| value: 28.516000000000002 |
| - type: ndcg_at_5 |
| value: 30.274 |
| - type: precision_at_1 |
| value: 24.657999999999998 |
| - type: precision_at_10 |
| value: 6.176 |
| - type: precision_at_100 |
| value: 1.1400000000000001 |
| - type: precision_at_1000 |
| value: 0.155 |
| - type: precision_at_3 |
| value: 13.927 |
| - type: precision_at_5 |
| value: 9.954 |
| - type: recall_at_1 |
| value: 19.742 |
| - type: recall_at_10 |
| value: 42.427 |
| - type: recall_at_100 |
| value: 72.687 |
| - type: recall_at_1000 |
| value: 89.89 |
| - type: recall_at_3 |
| value: 30.781 |
| - type: recall_at_5 |
| value: 35.606 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 19.72608333333333 |
| - type: map_at_10 |
| value: 27.165333333333336 |
| - type: map_at_100 |
| value: 28.292499999999997 |
| - type: map_at_1000 |
| value: 28.416333333333327 |
| - type: map_at_3 |
| value: 24.783833333333334 |
| - type: map_at_5 |
| value: 26.101750000000003 |
| - type: mrr_at_1 |
| value: 23.721500000000002 |
| - type: mrr_at_10 |
| value: 30.853333333333328 |
| - type: mrr_at_100 |
| value: 31.741750000000003 |
| - type: mrr_at_1000 |
| value: 31.812999999999995 |
| - type: mrr_at_3 |
| value: 28.732249999999997 |
| - type: mrr_at_5 |
| value: 29.945166666666665 |
| - type: ndcg_at_1 |
| value: 23.721500000000002 |
| - type: ndcg_at_10 |
| value: 31.74883333333333 |
| - type: ndcg_at_100 |
| value: 36.883583333333334 |
| - type: ndcg_at_1000 |
| value: 39.6145 |
| - type: ndcg_at_3 |
| value: 27.639583333333334 |
| - type: ndcg_at_5 |
| value: 29.543666666666667 |
| - type: precision_at_1 |
| value: 23.721500000000002 |
| - type: precision_at_10 |
| value: 5.709083333333333 |
| - type: precision_at_100 |
| value: 0.9859166666666666 |
| - type: precision_at_1000 |
| value: 0.1413333333333333 |
| - type: precision_at_3 |
| value: 12.85683333333333 |
| - type: precision_at_5 |
| value: 9.258166666666668 |
| - type: recall_at_1 |
| value: 19.72608333333333 |
| - type: recall_at_10 |
| value: 41.73583333333334 |
| - type: recall_at_100 |
| value: 64.66566666666668 |
| - type: recall_at_1000 |
| value: 84.09833333333336 |
| - type: recall_at_3 |
| value: 30.223083333333328 |
| - type: recall_at_5 |
| value: 35.153083333333335 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackStatsRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 17.582 |
| - type: map_at_10 |
| value: 22.803 |
| - type: map_at_100 |
| value: 23.503 |
| - type: map_at_1000 |
| value: 23.599999999999998 |
| - type: map_at_3 |
| value: 21.375 |
| - type: map_at_5 |
| value: 22.052 |
| - type: mrr_at_1 |
| value: 20.399 |
| - type: mrr_at_10 |
| value: 25.369999999999997 |
| - type: mrr_at_100 |
| value: 26.016000000000002 |
| - type: mrr_at_1000 |
| value: 26.090999999999998 |
| - type: mrr_at_3 |
| value: 23.952 |
| - type: mrr_at_5 |
| value: 24.619 |
| - type: ndcg_at_1 |
| value: 20.399 |
| - type: ndcg_at_10 |
| value: 25.964 |
| - type: ndcg_at_100 |
| value: 29.607 |
| - type: ndcg_at_1000 |
| value: 32.349 |
| - type: ndcg_at_3 |
| value: 23.177 |
| - type: ndcg_at_5 |
| value: 24.276 |
| - type: precision_at_1 |
| value: 20.399 |
| - type: precision_at_10 |
| value: 4.018 |
| - type: precision_at_100 |
| value: 0.629 |
| - type: precision_at_1000 |
| value: 0.093 |
| - type: precision_at_3 |
| value: 9.969 |
| - type: precision_at_5 |
| value: 6.748 |
| - type: recall_at_1 |
| value: 17.582 |
| - type: recall_at_10 |
| value: 33.35 |
| - type: recall_at_100 |
| value: 50.219 |
| - type: recall_at_1000 |
| value: 71.06099999999999 |
| - type: recall_at_3 |
| value: 25.619999999999997 |
| - type: recall_at_5 |
| value: 28.291 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackTexRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 11.071 |
| - type: map_at_10 |
| value: 16.201999999999998 |
| - type: map_at_100 |
| value: 17.112 |
| - type: map_at_1000 |
| value: 17.238 |
| - type: map_at_3 |
| value: 14.508 |
| - type: map_at_5 |
| value: 15.440999999999999 |
| - type: mrr_at_1 |
| value: 13.833 |
| - type: mrr_at_10 |
| value: 19.235 |
| - type: mrr_at_100 |
| value: 20.108999999999998 |
| - type: mrr_at_1000 |
| value: 20.196 |
| - type: mrr_at_3 |
| value: 17.515 |
| - type: mrr_at_5 |
| value: 18.505 |
| - type: ndcg_at_1 |
| value: 13.833 |
| - type: ndcg_at_10 |
| value: 19.643 |
| - type: ndcg_at_100 |
| value: 24.298000000000002 |
| - type: ndcg_at_1000 |
| value: 27.614 |
| - type: ndcg_at_3 |
| value: 16.528000000000002 |
| - type: ndcg_at_5 |
| value: 17.991 |
| - type: precision_at_1 |
| value: 13.833 |
| - type: precision_at_10 |
| value: 3.6990000000000003 |
| - type: precision_at_100 |
| value: 0.713 |
| - type: precision_at_1000 |
| value: 0.116 |
| - type: precision_at_3 |
| value: 7.9030000000000005 |
| - type: precision_at_5 |
| value: 5.891 |
| - type: recall_at_1 |
| value: 11.071 |
| - type: recall_at_10 |
| value: 27.019 |
| - type: recall_at_100 |
| value: 48.404 |
| - type: recall_at_1000 |
| value: 72.641 |
| - type: recall_at_3 |
| value: 18.336 |
| - type: recall_at_5 |
| value: 21.991 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackUnixRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 18.573 |
| - type: map_at_10 |
| value: 25.008999999999997 |
| - type: map_at_100 |
| value: 26.015 |
| - type: map_at_1000 |
| value: 26.137 |
| - type: map_at_3 |
| value: 22.798 |
| - type: map_at_5 |
| value: 24.092 |
| - type: mrr_at_1 |
| value: 22.108 |
| - type: mrr_at_10 |
| value: 28.646 |
| - type: mrr_at_100 |
| value: 29.477999999999998 |
| - type: mrr_at_1000 |
| value: 29.57 |
| - type: mrr_at_3 |
| value: 26.415 |
| - type: mrr_at_5 |
| value: 27.693 |
| - type: ndcg_at_1 |
| value: 22.108 |
| - type: ndcg_at_10 |
| value: 29.42 |
| - type: ndcg_at_100 |
| value: 34.385 |
| - type: ndcg_at_1000 |
| value: 37.572 |
| - type: ndcg_at_3 |
| value: 25.274 |
| - type: ndcg_at_5 |
| value: 27.315 |
| - type: precision_at_1 |
| value: 22.108 |
| - type: precision_at_10 |
| value: 5.093 |
| - type: precision_at_100 |
| value: 0.859 |
| - type: precision_at_1000 |
| value: 0.124 |
| - type: precision_at_3 |
| value: 11.474 |
| - type: precision_at_5 |
| value: 8.321000000000002 |
| - type: recall_at_1 |
| value: 18.573 |
| - type: recall_at_10 |
| value: 39.433 |
| - type: recall_at_100 |
| value: 61.597 |
| - type: recall_at_1000 |
| value: 84.69 |
| - type: recall_at_3 |
| value: 27.849 |
| - type: recall_at_5 |
| value: 33.202999999999996 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackWebmastersRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 22.807 |
| - type: map_at_10 |
| value: 30.014000000000003 |
| - type: map_at_100 |
| value: 31.422 |
| - type: map_at_1000 |
| value: 31.652 |
| - type: map_at_3 |
| value: 27.447 |
| - type: map_at_5 |
| value: 28.711 |
| - type: mrr_at_1 |
| value: 27.668 |
| - type: mrr_at_10 |
| value: 34.489 |
| - type: mrr_at_100 |
| value: 35.453 |
| - type: mrr_at_1000 |
| value: 35.526 |
| - type: mrr_at_3 |
| value: 32.477000000000004 |
| - type: mrr_at_5 |
| value: 33.603 |
| - type: ndcg_at_1 |
| value: 27.668 |
| - type: ndcg_at_10 |
| value: 34.983 |
| - type: ndcg_at_100 |
| value: 40.535 |
| - type: ndcg_at_1000 |
| value: 43.747 |
| - type: ndcg_at_3 |
| value: 31.026999999999997 |
| - type: ndcg_at_5 |
| value: 32.608 |
| - type: precision_at_1 |
| value: 27.668 |
| - type: precision_at_10 |
| value: 6.837999999999999 |
| - type: precision_at_100 |
| value: 1.411 |
| - type: precision_at_1000 |
| value: 0.23600000000000002 |
| - type: precision_at_3 |
| value: 14.295 |
| - type: precision_at_5 |
| value: 10.435 |
| - type: recall_at_1 |
| value: 22.807 |
| - type: recall_at_10 |
| value: 43.545 |
| - type: recall_at_100 |
| value: 69.39800000000001 |
| - type: recall_at_1000 |
| value: 90.706 |
| - type: recall_at_3 |
| value: 32.183 |
| - type: recall_at_5 |
| value: 36.563 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackWordpressRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 13.943 |
| - type: map_at_10 |
| value: 20.419999999999998 |
| - type: map_at_100 |
| value: 21.335 |
| - type: map_at_1000 |
| value: 21.44 |
| - type: map_at_3 |
| value: 17.865000000000002 |
| - type: map_at_5 |
| value: 19.36 |
| - type: mrr_at_1 |
| value: 15.712000000000002 |
| - type: mrr_at_10 |
| value: 22.345000000000002 |
| - type: mrr_at_100 |
| value: 23.227999999999998 |
| - type: mrr_at_1000 |
| value: 23.304 |
| - type: mrr_at_3 |
| value: 19.901 |
| - type: mrr_at_5 |
| value: 21.325 |
| - type: ndcg_at_1 |
| value: 15.712000000000002 |
| - type: ndcg_at_10 |
| value: 24.801000000000002 |
| - type: ndcg_at_100 |
| value: 29.799 |
| - type: ndcg_at_1000 |
| value: 32.513999999999996 |
| - type: ndcg_at_3 |
| value: 19.750999999999998 |
| - type: ndcg_at_5 |
| value: 22.252 |
| - type: precision_at_1 |
| value: 15.712000000000002 |
| - type: precision_at_10 |
| value: 4.1770000000000005 |
| - type: precision_at_100 |
| value: 0.738 |
| - type: precision_at_1000 |
| value: 0.106 |
| - type: precision_at_3 |
| value: 8.688 |
| - type: precision_at_5 |
| value: 6.617000000000001 |
| - type: recall_at_1 |
| value: 13.943 |
| - type: recall_at_10 |
| value: 36.913000000000004 |
| - type: recall_at_100 |
| value: 60.519 |
| - type: recall_at_1000 |
| value: 81.206 |
| - type: recall_at_3 |
| value: 23.006999999999998 |
| - type: recall_at_5 |
| value: 29.082 |
| - task: |
| type: Retrieval |
| dataset: |
| type: climate-fever |
| name: MTEB ClimateFEVER |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 9.468 |
| - type: map_at_10 |
| value: 16.029 |
| - type: map_at_100 |
| value: 17.693 |
| - type: map_at_1000 |
| value: 17.886 |
| - type: map_at_3 |
| value: 13.15 |
| - type: map_at_5 |
| value: 14.568 |
| - type: mrr_at_1 |
| value: 21.173000000000002 |
| - type: mrr_at_10 |
| value: 31.028 |
| - type: mrr_at_100 |
| value: 32.061 |
| - type: mrr_at_1000 |
| value: 32.119 |
| - type: mrr_at_3 |
| value: 27.534999999999997 |
| - type: mrr_at_5 |
| value: 29.431 |
| - type: ndcg_at_1 |
| value: 21.173000000000002 |
| - type: ndcg_at_10 |
| value: 23.224 |
| - type: ndcg_at_100 |
| value: 30.225 |
| - type: ndcg_at_1000 |
| value: 33.961000000000006 |
| - type: ndcg_at_3 |
| value: 18.174 |
| - type: ndcg_at_5 |
| value: 19.897000000000002 |
| - type: precision_at_1 |
| value: 21.173000000000002 |
| - type: precision_at_10 |
| value: 7.4719999999999995 |
| - type: precision_at_100 |
| value: 1.5010000000000001 |
| - type: precision_at_1000 |
| value: 0.219 |
| - type: precision_at_3 |
| value: 13.312 |
| - type: precision_at_5 |
| value: 10.619 |
| - type: recall_at_1 |
| value: 9.468 |
| - type: recall_at_10 |
| value: 28.823 |
| - type: recall_at_100 |
| value: 53.26499999999999 |
| - type: recall_at_1000 |
| value: 74.536 |
| - type: recall_at_3 |
| value: 16.672 |
| - type: recall_at_5 |
| value: 21.302 |
| - task: |
| type: Retrieval |
| dataset: |
| type: dbpedia-entity |
| name: MTEB DBPedia |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 6.343 |
| - type: map_at_10 |
| value: 12.717 |
| - type: map_at_100 |
| value: 16.48 |
| - type: map_at_1000 |
| value: 17.381 |
| - type: map_at_3 |
| value: 9.568999999999999 |
| - type: map_at_5 |
| value: 11.125 |
| - type: mrr_at_1 |
| value: 48.75 |
| - type: mrr_at_10 |
| value: 58.425000000000004 |
| - type: mrr_at_100 |
| value: 59.075 |
| - type: mrr_at_1000 |
| value: 59.095 |
| - type: mrr_at_3 |
| value: 56.291999999999994 |
| - type: mrr_at_5 |
| value: 57.679 |
| - type: ndcg_at_1 |
| value: 37.875 |
| - type: ndcg_at_10 |
| value: 27.77 |
| - type: ndcg_at_100 |
| value: 30.288999999999998 |
| - type: ndcg_at_1000 |
| value: 36.187999999999995 |
| - type: ndcg_at_3 |
| value: 31.385999999999996 |
| - type: ndcg_at_5 |
| value: 29.923 |
| - type: precision_at_1 |
| value: 48.75 |
| - type: precision_at_10 |
| value: 22.375 |
| - type: precision_at_100 |
| value: 6.3420000000000005 |
| - type: precision_at_1000 |
| value: 1.4489999999999998 |
| - type: precision_at_3 |
| value: 35.5 |
| - type: precision_at_5 |
| value: 30.55 |
| - type: recall_at_1 |
| value: 6.343 |
| - type: recall_at_10 |
| value: 16.936 |
| - type: recall_at_100 |
| value: 35.955999999999996 |
| - type: recall_at_1000 |
| value: 55.787 |
| - type: recall_at_3 |
| value: 10.771 |
| - type: recall_at_5 |
| value: 13.669999999999998 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/emotion |
| name: MTEB EmotionClassification |
| config: default |
| split: test |
| revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
| metrics: |
| - type: accuracy |
| value: 41.99 |
| - type: f1 |
| value: 36.823402174564954 |
| - task: |
| type: Retrieval |
| dataset: |
| type: fever |
| name: MTEB FEVER |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 40.088 |
| - type: map_at_10 |
| value: 52.69200000000001 |
| - type: map_at_100 |
| value: 53.296 |
| - type: map_at_1000 |
| value: 53.325 |
| - type: map_at_3 |
| value: 49.905 |
| - type: map_at_5 |
| value: 51.617000000000004 |
| - type: mrr_at_1 |
| value: 43.009 |
| - type: mrr_at_10 |
| value: 56.203 |
| - type: mrr_at_100 |
| value: 56.75 |
| - type: mrr_at_1000 |
| value: 56.769000000000005 |
| - type: mrr_at_3 |
| value: 53.400000000000006 |
| - type: mrr_at_5 |
| value: 55.163 |
| - type: ndcg_at_1 |
| value: 43.009 |
| - type: ndcg_at_10 |
| value: 59.39 |
| - type: ndcg_at_100 |
| value: 62.129999999999995 |
| - type: ndcg_at_1000 |
| value: 62.793 |
| - type: ndcg_at_3 |
| value: 53.878 |
| - type: ndcg_at_5 |
| value: 56.887 |
| - type: precision_at_1 |
| value: 43.009 |
| - type: precision_at_10 |
| value: 8.366 |
| - type: precision_at_100 |
| value: 0.983 |
| - type: precision_at_1000 |
| value: 0.105 |
| - type: precision_at_3 |
| value: 22.377 |
| - type: precision_at_5 |
| value: 15.035000000000002 |
| - type: recall_at_1 |
| value: 40.088 |
| - type: recall_at_10 |
| value: 76.68700000000001 |
| - type: recall_at_100 |
| value: 88.91 |
| - type: recall_at_1000 |
| value: 93.782 |
| - type: recall_at_3 |
| value: 61.809999999999995 |
| - type: recall_at_5 |
| value: 69.131 |
| - task: |
| type: Retrieval |
| dataset: |
| type: fiqa |
| name: MTEB FiQA2018 |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 10.817 |
| - type: map_at_10 |
| value: 18.9 |
| - type: map_at_100 |
| value: 20.448 |
| - type: map_at_1000 |
| value: 20.660999999999998 |
| - type: map_at_3 |
| value: 15.979 |
| - type: map_at_5 |
| value: 17.415 |
| - type: mrr_at_1 |
| value: 23.148 |
| - type: mrr_at_10 |
| value: 31.208000000000002 |
| - type: mrr_at_100 |
| value: 32.167 |
| - type: mrr_at_1000 |
| value: 32.242 |
| - type: mrr_at_3 |
| value: 28.498 |
| - type: mrr_at_5 |
| value: 29.964000000000002 |
| - type: ndcg_at_1 |
| value: 23.148 |
| - type: ndcg_at_10 |
| value: 25.325999999999997 |
| - type: ndcg_at_100 |
| value: 31.927 |
| - type: ndcg_at_1000 |
| value: 36.081 |
| - type: ndcg_at_3 |
| value: 21.647 |
| - type: ndcg_at_5 |
| value: 22.762999999999998 |
| - type: precision_at_1 |
| value: 23.148 |
| - type: precision_at_10 |
| value: 7.546 |
| - type: precision_at_100 |
| value: 1.415 |
| - type: precision_at_1000 |
| value: 0.216 |
| - type: precision_at_3 |
| value: 14.969 |
| - type: precision_at_5 |
| value: 11.327 |
| - type: recall_at_1 |
| value: 10.817 |
| - type: recall_at_10 |
| value: 32.164 |
| - type: recall_at_100 |
| value: 57.655 |
| - type: recall_at_1000 |
| value: 82.797 |
| - type: recall_at_3 |
| value: 19.709 |
| - type: recall_at_5 |
| value: 24.333 |
| - task: |
| type: Retrieval |
| dataset: |
| type: hotpotqa |
| name: MTEB HotpotQA |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 25.380999999999997 |
| - type: map_at_10 |
| value: 33.14 |
| - type: map_at_100 |
| value: 33.948 |
| - type: map_at_1000 |
| value: 34.028000000000006 |
| - type: map_at_3 |
| value: 31.019999999999996 |
| - type: map_at_5 |
| value: 32.23 |
| - type: mrr_at_1 |
| value: 50.763000000000005 |
| - type: mrr_at_10 |
| value: 57.899 |
| - type: mrr_at_100 |
| value: 58.426 |
| - type: mrr_at_1000 |
| value: 58.457 |
| - type: mrr_at_3 |
| value: 56.093 |
| - type: mrr_at_5 |
| value: 57.116 |
| - type: ndcg_at_1 |
| value: 50.763000000000005 |
| - type: ndcg_at_10 |
| value: 41.656 |
| - type: ndcg_at_100 |
| value: 45.079 |
| - type: ndcg_at_1000 |
| value: 46.916999999999994 |
| - type: ndcg_at_3 |
| value: 37.834 |
| - type: ndcg_at_5 |
| value: 39.732 |
| - type: precision_at_1 |
| value: 50.763000000000005 |
| - type: precision_at_10 |
| value: 8.648 |
| - type: precision_at_100 |
| value: 1.135 |
| - type: precision_at_1000 |
| value: 0.13799999999999998 |
| - type: precision_at_3 |
| value: 23.105999999999998 |
| - type: precision_at_5 |
| value: 15.363 |
| - type: recall_at_1 |
| value: 25.380999999999997 |
| - type: recall_at_10 |
| value: 43.241 |
| - type: recall_at_100 |
| value: 56.745000000000005 |
| - type: recall_at_1000 |
| value: 69.048 |
| - type: recall_at_3 |
| value: 34.659 |
| - type: recall_at_5 |
| value: 38.406 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/imdb |
| name: MTEB ImdbClassification |
| config: default |
| split: test |
| revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
| metrics: |
| - type: accuracy |
| value: 79.544 |
| - type: ap |
| value: 73.82920133396664 |
| - type: f1 |
| value: 79.51048124883265 |
| - task: |
| type: Retrieval |
| dataset: |
| type: msmarco |
| name: MTEB MSMARCO |
| config: default |
| split: dev |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 11.174000000000001 |
| - type: map_at_10 |
| value: 19.451999999999998 |
| - type: map_at_100 |
| value: 20.612 |
| - type: map_at_1000 |
| value: 20.703 |
| - type: map_at_3 |
| value: 16.444 |
| - type: map_at_5 |
| value: 18.083 |
| - type: mrr_at_1 |
| value: 11.447000000000001 |
| - type: mrr_at_10 |
| value: 19.808 |
| - type: mrr_at_100 |
| value: 20.958 |
| - type: mrr_at_1000 |
| value: 21.041999999999998 |
| - type: mrr_at_3 |
| value: 16.791 |
| - type: mrr_at_5 |
| value: 18.459 |
| - type: ndcg_at_1 |
| value: 11.447000000000001 |
| - type: ndcg_at_10 |
| value: 24.556 |
| - type: ndcg_at_100 |
| value: 30.637999999999998 |
| - type: ndcg_at_1000 |
| value: 33.14 |
| - type: ndcg_at_3 |
| value: 18.325 |
| - type: ndcg_at_5 |
| value: 21.278 |
| - type: precision_at_1 |
| value: 11.447000000000001 |
| - type: precision_at_10 |
| value: 4.215 |
| - type: precision_at_100 |
| value: 0.732 |
| - type: precision_at_1000 |
| value: 0.095 |
| - type: precision_at_3 |
| value: 8.052 |
| - type: precision_at_5 |
| value: 6.318 |
| - type: recall_at_1 |
| value: 11.174000000000001 |
| - type: recall_at_10 |
| value: 40.543 |
| - type: recall_at_100 |
| value: 69.699 |
| - type: recall_at_1000 |
| value: 89.403 |
| - type: recall_at_3 |
| value: 23.442 |
| - type: recall_at_5 |
| value: 30.536 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/mtop_domain |
| name: MTEB MTOPDomainClassification (en) |
| config: en |
| split: test |
| revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
| metrics: |
| - type: accuracy |
| value: 89.6671226630187 |
| - type: f1 |
| value: 89.57660424361246 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/mtop_intent |
| name: MTEB MTOPIntentClassification (en) |
| config: en |
| split: test |
| revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
| metrics: |
| - type: accuracy |
| value: 60.284997720018254 |
| - type: f1 |
| value: 40.30637400152823 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/amazon_massive_intent |
| name: MTEB MassiveIntentClassification (en) |
| config: en |
| split: test |
| revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
| metrics: |
| - type: accuracy |
| value: 63.33557498318763 |
| - type: f1 |
| value: 60.24039910680179 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/amazon_massive_scenario |
| name: MTEB MassiveScenarioClassification (en) |
| config: en |
| split: test |
| revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
| metrics: |
| - type: accuracy |
| value: 72.37390719569603 |
| - type: f1 |
| value: 72.33097333477316 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/medrxiv-clustering-p2p |
| name: MTEB MedrxivClusteringP2P |
| config: default |
| split: test |
| revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
| metrics: |
| - type: v_measure |
| value: 34.68158939060552 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/medrxiv-clustering-s2s |
| name: MTEB MedrxivClusteringS2S |
| config: default |
| split: test |
| revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
| metrics: |
| - type: v_measure |
| value: 30.340061711905236 |
| - task: |
| type: Reranking |
| dataset: |
| type: mteb/mind_small |
| name: MTEB MindSmallReranking |
| config: default |
| split: test |
| revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
| metrics: |
| - type: map |
| value: 32.01814326295803 |
| - type: mrr |
| value: 33.20555240055367 |
| - task: |
| type: Retrieval |
| dataset: |
| type: nfcorpus |
| name: MTEB NFCorpus |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 3.3910000000000005 |
| - type: map_at_10 |
| value: 7.7219999999999995 |
| - type: map_at_100 |
| value: 10.286 |
| - type: map_at_1000 |
| value: 11.668000000000001 |
| - type: map_at_3 |
| value: 5.552 |
| - type: map_at_5 |
| value: 6.468 |
| - type: mrr_at_1 |
| value: 34.365 |
| - type: mrr_at_10 |
| value: 42.555 |
| - type: mrr_at_100 |
| value: 43.295 |
| - type: mrr_at_1000 |
| value: 43.357 |
| - type: mrr_at_3 |
| value: 40.299 |
| - type: mrr_at_5 |
| value: 41.182 |
| - type: ndcg_at_1 |
| value: 31.424000000000003 |
| - type: ndcg_at_10 |
| value: 24.758 |
| - type: ndcg_at_100 |
| value: 23.677999999999997 |
| - type: ndcg_at_1000 |
| value: 33.377 |
| - type: ndcg_at_3 |
| value: 28.302 |
| - type: ndcg_at_5 |
| value: 26.342 |
| - type: precision_at_1 |
| value: 33.437 |
| - type: precision_at_10 |
| value: 19.256999999999998 |
| - type: precision_at_100 |
| value: 6.662999999999999 |
| - type: precision_at_1000 |
| value: 1.9900000000000002 |
| - type: precision_at_3 |
| value: 27.761000000000003 |
| - type: precision_at_5 |
| value: 23.715 |
| - type: recall_at_1 |
| value: 3.3910000000000005 |
| - type: recall_at_10 |
| value: 11.068 |
| - type: recall_at_100 |
| value: 25.878 |
| - type: recall_at_1000 |
| value: 60.19 |
| - type: recall_at_3 |
| value: 6.1690000000000005 |
| - type: recall_at_5 |
| value: 7.767 |
| - task: |
| type: Retrieval |
| dataset: |
| type: nq |
| name: MTEB NQ |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 15.168000000000001 |
| - type: map_at_10 |
| value: 26.177 |
| - type: map_at_100 |
| value: 27.564 |
| - type: map_at_1000 |
| value: 27.628999999999998 |
| - type: map_at_3 |
| value: 22.03 |
| - type: map_at_5 |
| value: 24.276 |
| - type: mrr_at_1 |
| value: 17.439 |
| - type: mrr_at_10 |
| value: 28.205000000000002 |
| - type: mrr_at_100 |
| value: 29.357 |
| - type: mrr_at_1000 |
| value: 29.408 |
| - type: mrr_at_3 |
| value: 24.377 |
| - type: mrr_at_5 |
| value: 26.540000000000003 |
| - type: ndcg_at_1 |
| value: 17.41 |
| - type: ndcg_at_10 |
| value: 32.936 |
| - type: ndcg_at_100 |
| value: 39.196999999999996 |
| - type: ndcg_at_1000 |
| value: 40.892 |
| - type: ndcg_at_3 |
| value: 24.721 |
| - type: ndcg_at_5 |
| value: 28.615000000000002 |
| - type: precision_at_1 |
| value: 17.41 |
| - type: precision_at_10 |
| value: 6.199000000000001 |
| - type: precision_at_100 |
| value: 0.9690000000000001 |
| - type: precision_at_1000 |
| value: 0.11299999999999999 |
| - type: precision_at_3 |
| value: 11.790000000000001 |
| - type: precision_at_5 |
| value: 9.264 |
| - type: recall_at_1 |
| value: 15.168000000000001 |
| - type: recall_at_10 |
| value: 51.914 |
| - type: recall_at_100 |
| value: 79.804 |
| - type: recall_at_1000 |
| value: 92.75999999999999 |
| - type: recall_at_3 |
| value: 30.212 |
| - type: recall_at_5 |
| value: 39.204 |
| - task: |
| type: Retrieval |
| dataset: |
| type: quora |
| name: MTEB QuoraRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 67.306 |
| - type: map_at_10 |
| value: 80.634 |
| - type: map_at_100 |
| value: 81.349 |
| - type: map_at_1000 |
| value: 81.37299999999999 |
| - type: map_at_3 |
| value: 77.691 |
| - type: map_at_5 |
| value: 79.512 |
| - type: mrr_at_1 |
| value: 77.56 |
| - type: mrr_at_10 |
| value: 84.177 |
| - type: mrr_at_100 |
| value: 84.35000000000001 |
| - type: mrr_at_1000 |
| value: 84.353 |
| - type: mrr_at_3 |
| value: 83.003 |
| - type: mrr_at_5 |
| value: 83.799 |
| - type: ndcg_at_1 |
| value: 77.58 |
| - type: ndcg_at_10 |
| value: 84.782 |
| - type: ndcg_at_100 |
| value: 86.443 |
| - type: ndcg_at_1000 |
| value: 86.654 |
| - type: ndcg_at_3 |
| value: 81.67 |
| - type: ndcg_at_5 |
| value: 83.356 |
| - type: precision_at_1 |
| value: 77.58 |
| - type: precision_at_10 |
| value: 12.875 |
| - type: precision_at_100 |
| value: 1.503 |
| - type: precision_at_1000 |
| value: 0.156 |
| - type: precision_at_3 |
| value: 35.63 |
| - type: precision_at_5 |
| value: 23.483999999999998 |
| - type: recall_at_1 |
| value: 67.306 |
| - type: recall_at_10 |
| value: 92.64 |
| - type: recall_at_100 |
| value: 98.681 |
| - type: recall_at_1000 |
| value: 99.79 |
| - type: recall_at_3 |
| value: 83.682 |
| - type: recall_at_5 |
| value: 88.424 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/reddit-clustering |
| name: MTEB RedditClustering |
| config: default |
| split: test |
| revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
| metrics: |
| - type: v_measure |
| value: 50.76319866126382 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/reddit-clustering-p2p |
| name: MTEB RedditClusteringP2P |
| config: default |
| split: test |
| revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
| metrics: |
| - type: v_measure |
| value: 55.024711941648995 |
| - task: |
| type: Retrieval |
| dataset: |
| type: scidocs |
| name: MTEB SCIDOCS |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 3.9379999999999997 |
| - type: map_at_10 |
| value: 8.817 |
| - type: map_at_100 |
| value: 10.546999999999999 |
| - type: map_at_1000 |
| value: 10.852 |
| - type: map_at_3 |
| value: 6.351999999999999 |
| - type: map_at_5 |
| value: 7.453 |
| - type: mrr_at_1 |
| value: 19.400000000000002 |
| - type: mrr_at_10 |
| value: 27.371000000000002 |
| - type: mrr_at_100 |
| value: 28.671999999999997 |
| - type: mrr_at_1000 |
| value: 28.747 |
| - type: mrr_at_3 |
| value: 24.583 |
| - type: mrr_at_5 |
| value: 26.143 |
| - type: ndcg_at_1 |
| value: 19.400000000000002 |
| - type: ndcg_at_10 |
| value: 15.264 |
| - type: ndcg_at_100 |
| value: 22.63 |
| - type: ndcg_at_1000 |
| value: 28.559 |
| - type: ndcg_at_3 |
| value: 14.424999999999999 |
| - type: ndcg_at_5 |
| value: 12.520000000000001 |
| - type: precision_at_1 |
| value: 19.400000000000002 |
| - type: precision_at_10 |
| value: 7.8100000000000005 |
| - type: precision_at_100 |
| value: 1.854 |
| - type: precision_at_1000 |
| value: 0.329 |
| - type: precision_at_3 |
| value: 13.100000000000001 |
| - type: precision_at_5 |
| value: 10.68 |
| - type: recall_at_1 |
| value: 3.9379999999999997 |
| - type: recall_at_10 |
| value: 15.903 |
| - type: recall_at_100 |
| value: 37.645 |
| - type: recall_at_1000 |
| value: 66.86 |
| - type: recall_at_3 |
| value: 7.993 |
| - type: recall_at_5 |
| value: 10.885 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sickr-sts |
| name: MTEB SICK-R |
| config: default |
| split: test |
| revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
| metrics: |
| - type: cos_sim_pearson |
| value: 80.12689060151425 |
| - type: cos_sim_spearman |
| value: 70.46515535094771 |
| - type: euclidean_pearson |
| value: 77.17160003557223 |
| - type: euclidean_spearman |
| value: 70.4651757047438 |
| - type: manhattan_pearson |
| value: 77.18129609281937 |
| - type: manhattan_spearman |
| value: 70.46610403752913 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sts12-sts |
| name: MTEB STS12 |
| config: default |
| split: test |
| revision: a0d554a64d88156834ff5ae9920b964011b16384 |
| metrics: |
| - type: cos_sim_pearson |
| value: 70.451157033355 |
| - type: cos_sim_spearman |
| value: 63.99899601697852 |
| - type: euclidean_pearson |
| value: 67.46985359967678 |
| - type: euclidean_spearman |
| value: 64.00001637764805 |
| - type: manhattan_pearson |
| value: 67.56534741780037 |
| - type: manhattan_spearman |
| value: 64.06533893575366 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sts13-sts |
| name: MTEB STS13 |
| config: default |
| split: test |
| revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
| metrics: |
| - type: cos_sim_pearson |
| value: 77.65086614464292 |
| - type: cos_sim_spearman |
| value: 78.20169706921848 |
| - type: euclidean_pearson |
| value: 77.77758172155283 |
| - type: euclidean_spearman |
| value: 78.20169706921848 |
| - type: manhattan_pearson |
| value: 77.75077884860052 |
| - type: manhattan_spearman |
| value: 78.16875216484164 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sts14-sts |
| name: MTEB STS14 |
| config: default |
| split: test |
| revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
| metrics: |
| - type: cos_sim_pearson |
| value: 76.26381598259717 |
| - type: cos_sim_spearman |
| value: 70.78377709313477 |
| - type: euclidean_pearson |
| value: 74.82646556532096 |
| - type: euclidean_spearman |
| value: 70.78377658155212 |
| - type: manhattan_pearson |
| value: 74.81784766108225 |
| - type: manhattan_spearman |
| value: 70.79351454692176 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sts15-sts |
| name: MTEB STS15 |
| config: default |
| split: test |
| revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
| metrics: |
| - type: cos_sim_pearson |
| value: 79.00532026789739 |
| - type: cos_sim_spearman |
| value: 80.02708383244838 |
| - type: euclidean_pearson |
| value: 79.48345422610525 |
| - type: euclidean_spearman |
| value: 80.02708383244838 |
| - type: manhattan_pearson |
| value: 79.44519739854803 |
| - type: manhattan_spearman |
| value: 79.98344094559687 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sts16-sts |
| name: MTEB STS16 |
| config: default |
| split: test |
| revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
| metrics: |
| - type: cos_sim_pearson |
| value: 77.32783048164805 |
| - type: cos_sim_spearman |
| value: 78.79729961288045 |
| - type: euclidean_pearson |
| value: 78.72111945793154 |
| - type: euclidean_spearman |
| value: 78.79729904606872 |
| - type: manhattan_pearson |
| value: 78.72464311117116 |
| - type: manhattan_spearman |
| value: 78.822591248334 |
| - 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: 82.04318630630854 |
| - type: cos_sim_spearman |
| value: 83.87886389259836 |
| - type: euclidean_pearson |
| value: 83.40385877895086 |
| - type: euclidean_spearman |
| value: 83.87886389259836 |
| - type: manhattan_pearson |
| value: 83.46337128901547 |
| - type: manhattan_spearman |
| value: 83.9723106941644 |
| - 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: 63.003511169944595 |
| - type: cos_sim_spearman |
| value: 64.39318805580227 |
| - type: euclidean_pearson |
| value: 65.4797990735967 |
| - type: euclidean_spearman |
| value: 64.39318805580227 |
| - type: manhattan_pearson |
| value: 65.44604544280844 |
| - type: manhattan_spearman |
| value: 64.38742899984233 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/stsbenchmark-sts |
| name: MTEB STSBenchmark |
| config: default |
| split: test |
| revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
| metrics: |
| - type: cos_sim_pearson |
| value: 76.63101237585029 |
| - type: cos_sim_spearman |
| value: 75.57446967644269 |
| - type: euclidean_pearson |
| value: 76.93491768734478 |
| - type: euclidean_spearman |
| value: 75.57446967644269 |
| - type: manhattan_pearson |
| value: 76.92187567800636 |
| - type: manhattan_spearman |
| value: 75.57239337194585 |
| - task: |
| type: Reranking |
| dataset: |
| type: mteb/scidocs-reranking |
| name: MTEB SciDocsRR |
| config: default |
| split: test |
| revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
| metrics: |
| - type: map |
| value: 78.5376604868993 |
| - type: mrr |
| value: 92.94422897364073 |
| - task: |
| type: Retrieval |
| dataset: |
| type: scifact |
| name: MTEB SciFact |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 38.872 |
| - type: map_at_10 |
| value: 50.417 |
| - type: map_at_100 |
| value: 51.202000000000005 |
| - type: map_at_1000 |
| value: 51.25999999999999 |
| - type: map_at_3 |
| value: 47.02 |
| - type: map_at_5 |
| value: 49.326 |
| - type: mrr_at_1 |
| value: 41.0 |
| - type: mrr_at_10 |
| value: 51.674 |
| - type: mrr_at_100 |
| value: 52.32599999999999 |
| - type: mrr_at_1000 |
| value: 52.376999999999995 |
| - type: mrr_at_3 |
| value: 48.778 |
| - type: mrr_at_5 |
| value: 50.744 |
| - type: ndcg_at_1 |
| value: 41.0 |
| - type: ndcg_at_10 |
| value: 56.027 |
| - type: ndcg_at_100 |
| value: 59.362 |
| - type: ndcg_at_1000 |
| value: 60.839 |
| - type: ndcg_at_3 |
| value: 50.019999999999996 |
| - type: ndcg_at_5 |
| value: 53.644999999999996 |
| - type: precision_at_1 |
| value: 41.0 |
| - type: precision_at_10 |
| value: 8.1 |
| - type: precision_at_100 |
| value: 0.987 |
| - type: precision_at_1000 |
| value: 0.11100000000000002 |
| - type: precision_at_3 |
| value: 20.444000000000003 |
| - type: precision_at_5 |
| value: 14.466999999999999 |
| - type: recall_at_1 |
| value: 38.872 |
| - type: recall_at_10 |
| value: 71.906 |
| - type: recall_at_100 |
| value: 86.367 |
| - type: recall_at_1000 |
| value: 98.0 |
| - type: recall_at_3 |
| value: 56.206 |
| - type: recall_at_5 |
| value: 65.05 |
| - task: |
| type: PairClassification |
| dataset: |
| type: mteb/sprintduplicatequestions-pairclassification |
| name: MTEB SprintDuplicateQuestions |
| config: default |
| split: test |
| revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
| metrics: |
| - type: cos_sim_accuracy |
| value: 99.7039603960396 |
| - type: cos_sim_ap |
| value: 90.40809844250262 |
| - type: cos_sim_f1 |
| value: 84.53181583031557 |
| - type: cos_sim_precision |
| value: 87.56698821007502 |
| - type: cos_sim_recall |
| value: 81.69999999999999 |
| - type: dot_accuracy |
| value: 99.7039603960396 |
| - type: dot_ap |
| value: 90.40809844250262 |
| - type: dot_f1 |
| value: 84.53181583031557 |
| - type: dot_precision |
| value: 87.56698821007502 |
| - type: dot_recall |
| value: 81.69999999999999 |
| - type: euclidean_accuracy |
| value: 99.7039603960396 |
| - type: euclidean_ap |
| value: 90.4080982863383 |
| - type: euclidean_f1 |
| value: 84.53181583031557 |
| - type: euclidean_precision |
| value: 87.56698821007502 |
| - type: euclidean_recall |
| value: 81.69999999999999 |
| - type: manhattan_accuracy |
| value: 99.7 |
| - type: manhattan_ap |
| value: 90.39771161966652 |
| - type: manhattan_f1 |
| value: 84.32989690721648 |
| - type: manhattan_precision |
| value: 87.02127659574468 |
| - type: manhattan_recall |
| value: 81.8 |
| - type: max_accuracy |
| value: 99.7039603960396 |
| - type: max_ap |
| value: 90.40809844250262 |
| - type: max_f1 |
| value: 84.53181583031557 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/stackexchange-clustering |
| name: MTEB StackExchangeClustering |
| config: default |
| split: test |
| revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
| metrics: |
| - type: v_measure |
| value: 59.663210666678715 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/stackexchange-clustering-p2p |
| name: MTEB StackExchangeClusteringP2P |
| config: default |
| split: test |
| revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
| metrics: |
| - type: v_measure |
| value: 32.107791216468776 |
| - task: |
| type: Reranking |
| dataset: |
| type: mteb/stackoverflowdupquestions-reranking |
| name: MTEB StackOverflowDupQuestions |
| config: default |
| split: test |
| revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
| metrics: |
| - type: map |
| value: 46.440691925067604 |
| - type: mrr |
| value: 47.03390257618199 |
| - task: |
| type: Summarization |
| dataset: |
| type: mteb/summeval |
| name: MTEB SummEval |
| config: default |
| split: test |
| revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
| metrics: |
| - type: cos_sim_pearson |
| value: 31.067177519784074 |
| - type: cos_sim_spearman |
| value: 31.234728424648967 |
| - type: dot_pearson |
| value: 31.06717083018107 |
| - type: dot_spearman |
| value: 31.234728424648967 |
| - task: |
| type: Retrieval |
| dataset: |
| type: trec-covid |
| name: MTEB TRECCOVID |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 0.136 |
| - type: map_at_10 |
| value: 0.767 |
| - type: map_at_100 |
| value: 3.3689999999999998 |
| - type: map_at_1000 |
| value: 8.613999999999999 |
| - type: map_at_3 |
| value: 0.369 |
| - type: map_at_5 |
| value: 0.514 |
| - type: mrr_at_1 |
| value: 48.0 |
| - type: mrr_at_10 |
| value: 63.908 |
| - type: mrr_at_100 |
| value: 64.615 |
| - type: mrr_at_1000 |
| value: 64.615 |
| - type: mrr_at_3 |
| value: 62.0 |
| - type: mrr_at_5 |
| value: 63.4 |
| - type: ndcg_at_1 |
| value: 44.0 |
| - type: ndcg_at_10 |
| value: 38.579 |
| - type: ndcg_at_100 |
| value: 26.409 |
| - type: ndcg_at_1000 |
| value: 26.858999999999998 |
| - type: ndcg_at_3 |
| value: 47.134 |
| - type: ndcg_at_5 |
| value: 43.287 |
| - type: precision_at_1 |
| value: 48.0 |
| - type: precision_at_10 |
| value: 40.400000000000006 |
| - type: precision_at_100 |
| value: 26.640000000000004 |
| - type: precision_at_1000 |
| value: 12.04 |
| - type: precision_at_3 |
| value: 52.666999999999994 |
| - type: precision_at_5 |
| value: 46.800000000000004 |
| - type: recall_at_1 |
| value: 0.136 |
| - type: recall_at_10 |
| value: 1.0070000000000001 |
| - type: recall_at_100 |
| value: 6.318 |
| - type: recall_at_1000 |
| value: 26.522000000000002 |
| - type: recall_at_3 |
| value: 0.41700000000000004 |
| - type: recall_at_5 |
| value: 0.606 |
| - task: |
| type: Retrieval |
| dataset: |
| type: webis-touche2020 |
| name: MTEB Touche2020 |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 1.9949999999999999 |
| - type: map_at_10 |
| value: 8.304 |
| - type: map_at_100 |
| value: 13.644 |
| - type: map_at_1000 |
| value: 15.43 |
| - type: map_at_3 |
| value: 4.788 |
| - type: map_at_5 |
| value: 6.22 |
| - type: mrr_at_1 |
| value: 22.448999999999998 |
| - type: mrr_at_10 |
| value: 37.658 |
| - type: mrr_at_100 |
| value: 38.491 |
| - type: mrr_at_1000 |
| value: 38.503 |
| - type: mrr_at_3 |
| value: 32.312999999999995 |
| - type: mrr_at_5 |
| value: 35.68 |
| - type: ndcg_at_1 |
| value: 21.429000000000002 |
| - type: ndcg_at_10 |
| value: 18.995 |
| - type: ndcg_at_100 |
| value: 32.029999999999994 |
| - type: ndcg_at_1000 |
| value: 44.852 |
| - type: ndcg_at_3 |
| value: 19.464000000000002 |
| - type: ndcg_at_5 |
| value: 19.172 |
| - type: precision_at_1 |
| value: 22.448999999999998 |
| - type: precision_at_10 |
| value: 17.143 |
| - type: precision_at_100 |
| value: 6.877999999999999 |
| - type: precision_at_1000 |
| value: 1.524 |
| - type: precision_at_3 |
| value: 21.769 |
| - type: precision_at_5 |
| value: 20.0 |
| - type: recall_at_1 |
| value: 1.9949999999999999 |
| - type: recall_at_10 |
| value: 13.395999999999999 |
| - type: recall_at_100 |
| value: 44.348 |
| - type: recall_at_1000 |
| value: 82.622 |
| - type: recall_at_3 |
| value: 5.896 |
| - type: recall_at_5 |
| value: 8.554 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/toxic_conversations_50k |
| name: MTEB ToxicConversationsClassification |
| config: default |
| split: test |
| revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
| metrics: |
| - type: accuracy |
| value: 67.9394 |
| - type: ap |
| value: 12.943337263423334 |
| - type: f1 |
| value: 52.28243093094156 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/tweet_sentiment_extraction |
| name: MTEB TweetSentimentExtractionClassification |
| config: default |
| split: test |
| revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
| metrics: |
| - type: accuracy |
| value: 56.414827391058296 |
| - type: f1 |
| value: 56.666412409573105 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/twentynewsgroups-clustering |
| name: MTEB TwentyNewsgroupsClustering |
| config: default |
| split: test |
| revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
| metrics: |
| - type: v_measure |
| value: 47.009746255495465 |
| - task: |
| type: PairClassification |
| dataset: |
| type: mteb/twittersemeval2015-pairclassification |
| name: MTEB TwitterSemEval2015 |
| config: default |
| split: test |
| revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
| metrics: |
| - type: cos_sim_accuracy |
| value: 84.02574953805807 |
| - type: cos_sim_ap |
| value: 67.66599910763128 |
| - type: cos_sim_f1 |
| value: 63.491277990844985 |
| - type: cos_sim_precision |
| value: 59.77172140694154 |
| - type: cos_sim_recall |
| value: 67.70448548812665 |
| - type: dot_accuracy |
| value: 84.02574953805807 |
| - type: dot_ap |
| value: 67.66600090945406 |
| - type: dot_f1 |
| value: 63.491277990844985 |
| - type: dot_precision |
| value: 59.77172140694154 |
| - type: dot_recall |
| value: 67.70448548812665 |
| - type: euclidean_accuracy |
| value: 84.02574953805807 |
| - type: euclidean_ap |
| value: 67.6659842364448 |
| - type: euclidean_f1 |
| value: 63.491277990844985 |
| - type: euclidean_precision |
| value: 59.77172140694154 |
| - type: euclidean_recall |
| value: 67.70448548812665 |
| - type: manhattan_accuracy |
| value: 84.0317100792752 |
| - type: manhattan_ap |
| value: 67.66351692448987 |
| - type: manhattan_f1 |
| value: 63.48610948306178 |
| - type: manhattan_precision |
| value: 57.11875131828729 |
| - type: manhattan_recall |
| value: 71.45118733509234 |
| - type: max_accuracy |
| value: 84.0317100792752 |
| - type: max_ap |
| value: 67.66600090945406 |
| - type: max_f1 |
| value: 63.491277990844985 |
| - task: |
| type: PairClassification |
| dataset: |
| type: mteb/twitterurlcorpus-pairclassification |
| name: MTEB TwitterURLCorpus |
| config: default |
| split: test |
| revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
| metrics: |
| - type: cos_sim_accuracy |
| value: 87.53832421314084 |
| - type: cos_sim_ap |
| value: 83.11416594316626 |
| - type: cos_sim_f1 |
| value: 75.41118114347518 |
| - type: cos_sim_precision |
| value: 73.12839059674504 |
| - type: cos_sim_recall |
| value: 77.8410840776101 |
| - type: dot_accuracy |
| value: 87.53832421314084 |
| - type: dot_ap |
| value: 83.11416226342155 |
| - type: dot_f1 |
| value: 75.41118114347518 |
| - type: dot_precision |
| value: 73.12839059674504 |
| - type: dot_recall |
| value: 77.8410840776101 |
| - type: euclidean_accuracy |
| value: 87.53832421314084 |
| - type: euclidean_ap |
| value: 83.11416284455395 |
| - type: euclidean_f1 |
| value: 75.41118114347518 |
| - type: euclidean_precision |
| value: 73.12839059674504 |
| - type: euclidean_recall |
| value: 77.8410840776101 |
| - type: manhattan_accuracy |
| value: 87.49369348391353 |
| - type: manhattan_ap |
| value: 83.08066812574694 |
| - type: manhattan_f1 |
| value: 75.36561228603892 |
| - type: manhattan_precision |
| value: 71.9202518363064 |
| - type: manhattan_recall |
| value: 79.15768401601478 |
| - type: max_accuracy |
| value: 87.53832421314084 |
| - type: max_ap |
| value: 83.11416594316626 |
| - type: max_f1 |
| value: 75.41118114347518 |
| --- |
| |
|
|
