Luke Merrick
commited on
Commit
·
2ea2e86
1
Parent(s):
97eab2e
Add other MTEB eval numbers
Browse files
README.md
CHANGED
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@@ -7591,6 +7591,1059 @@ model-index:
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| 7591 |
value: 11.994
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| 7592 |
task:
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| 7593 |
type: Retrieval
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|
| 7594 |
---
|
| 7595 |
|
| 7596 |
|
|
|
|
| 7591 |
value: 11.994
|
| 7592 |
task:
|
| 7593 |
type: Retrieval
|
| 7594 |
+
- dataset:
|
| 7595 |
+
config: en
|
| 7596 |
+
name: MTEB AmazonCounterfactualClassification (en)
|
| 7597 |
+
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
|
| 7598 |
+
split: test
|
| 7599 |
+
type: mteb/amazon_counterfactual
|
| 7600 |
+
metrics:
|
| 7601 |
+
- type: accuracy
|
| 7602 |
+
value: 68.29850746268657
|
| 7603 |
+
- type: ap
|
| 7604 |
+
value: 30.109785890841966
|
| 7605 |
+
- type: ap_weighted
|
| 7606 |
+
value: 30.109785890841966
|
| 7607 |
+
- type: f1
|
| 7608 |
+
value: 61.76875915202924
|
| 7609 |
+
- type: f1_weighted
|
| 7610 |
+
value: 71.32073190458556
|
| 7611 |
+
- type: main_score
|
| 7612 |
+
value: 68.29850746268657
|
| 7613 |
+
task:
|
| 7614 |
+
type: Classification
|
| 7615 |
+
- dataset:
|
| 7616 |
+
config: default
|
| 7617 |
+
name: MTEB AmazonPolarityClassification (default)
|
| 7618 |
+
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
|
| 7619 |
+
split: test
|
| 7620 |
+
type: mteb/amazon_polarity
|
| 7621 |
+
metrics:
|
| 7622 |
+
- type: accuracy
|
| 7623 |
+
value: 90.3068
|
| 7624 |
+
- type: ap
|
| 7625 |
+
value: 86.17914339624038
|
| 7626 |
+
- type: ap_weighted
|
| 7627 |
+
value: 86.17914339624038
|
| 7628 |
+
- type: f1
|
| 7629 |
+
value: 90.29716826358077
|
| 7630 |
+
- type: f1_weighted
|
| 7631 |
+
value: 90.29716826358077
|
| 7632 |
+
- type: main_score
|
| 7633 |
+
value: 90.3068
|
| 7634 |
+
task:
|
| 7635 |
+
type: Classification
|
| 7636 |
+
- dataset:
|
| 7637 |
+
config: en
|
| 7638 |
+
name: MTEB AmazonReviewsClassification (en)
|
| 7639 |
+
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
|
| 7640 |
+
split: test
|
| 7641 |
+
type: mteb/amazon_reviews_multi
|
| 7642 |
+
metrics:
|
| 7643 |
+
- type: accuracy
|
| 7644 |
+
value: 46.272000000000006
|
| 7645 |
+
- type: f1
|
| 7646 |
+
value: 45.57042543386915
|
| 7647 |
+
- type: f1_weighted
|
| 7648 |
+
value: 45.57042543386915
|
| 7649 |
+
- type: main_score
|
| 7650 |
+
value: 46.272000000000006
|
| 7651 |
+
task:
|
| 7652 |
+
type: Classification
|
| 7653 |
+
- dataset:
|
| 7654 |
+
config: default
|
| 7655 |
+
name: MTEB ArxivClusteringP2P (default)
|
| 7656 |
+
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
|
| 7657 |
+
split: test
|
| 7658 |
+
type: mteb/arxiv-clustering-p2p
|
| 7659 |
+
metrics:
|
| 7660 |
+
- type: main_score
|
| 7661 |
+
value: 44.9469238081379
|
| 7662 |
+
- type: v_measure
|
| 7663 |
+
value: 44.9469238081379
|
| 7664 |
+
- type: v_measure_std
|
| 7665 |
+
value: 13.26811262671461
|
| 7666 |
+
task:
|
| 7667 |
+
type: Clustering
|
| 7668 |
+
- dataset:
|
| 7669 |
+
config: default
|
| 7670 |
+
name: MTEB ArxivClusteringS2S (default)
|
| 7671 |
+
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
|
| 7672 |
+
split: test
|
| 7673 |
+
type: mteb/arxiv-clustering-s2s
|
| 7674 |
+
metrics:
|
| 7675 |
+
- type: main_score
|
| 7676 |
+
value: 34.12071448053325
|
| 7677 |
+
- type: v_measure
|
| 7678 |
+
value: 34.12071448053325
|
| 7679 |
+
- type: v_measure_std
|
| 7680 |
+
value: 13.7019879046405
|
| 7681 |
+
task:
|
| 7682 |
+
type: Clustering
|
| 7683 |
+
- dataset:
|
| 7684 |
+
config: default
|
| 7685 |
+
name: MTEB AskUbuntuDupQuestions (default)
|
| 7686 |
+
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
|
| 7687 |
+
split: test
|
| 7688 |
+
type: mteb/askubuntudupquestions-reranking
|
| 7689 |
+
metrics:
|
| 7690 |
+
- type: main_score
|
| 7691 |
+
value: 61.597667288657846
|
| 7692 |
+
- type: map
|
| 7693 |
+
value: 61.597667288657846
|
| 7694 |
+
- type: mrr
|
| 7695 |
+
value: 75.57940904893813
|
| 7696 |
+
- type: nAUC_map_diff1
|
| 7697 |
+
value: 8.745172077340095
|
| 7698 |
+
- type: nAUC_map_max
|
| 7699 |
+
value: 20.114863024035493
|
| 7700 |
+
- type: nAUC_map_std
|
| 7701 |
+
value: 15.991351189572192
|
| 7702 |
+
- type: nAUC_mrr_diff1
|
| 7703 |
+
value: 20.781369244159983
|
| 7704 |
+
- type: nAUC_mrr_max
|
| 7705 |
+
value: 30.78542570228559
|
| 7706 |
+
- type: nAUC_mrr_std
|
| 7707 |
+
value: 19.861484857303676
|
| 7708 |
+
task:
|
| 7709 |
+
type: Reranking
|
| 7710 |
+
- dataset:
|
| 7711 |
+
config: default
|
| 7712 |
+
name: MTEB BIOSSES (default)
|
| 7713 |
+
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
|
| 7714 |
+
split: test
|
| 7715 |
+
type: mteb/biosses-sts
|
| 7716 |
+
metrics:
|
| 7717 |
+
- type: cosine_pearson
|
| 7718 |
+
value: 88.55587996301419
|
| 7719 |
+
- type: cosine_spearman
|
| 7720 |
+
value: 86.40317357420093
|
| 7721 |
+
- type: euclidean_pearson
|
| 7722 |
+
value: 86.93771958250231
|
| 7723 |
+
- type: euclidean_spearman
|
| 7724 |
+
value: 86.40317357420093
|
| 7725 |
+
- type: main_score
|
| 7726 |
+
value: 86.40317357420093
|
| 7727 |
+
- type: manhattan_pearson
|
| 7728 |
+
value: 86.92196577117366
|
| 7729 |
+
- type: manhattan_spearman
|
| 7730 |
+
value: 85.79834051556095
|
| 7731 |
+
- type: pearson
|
| 7732 |
+
value: 88.55587996301419
|
| 7733 |
+
- type: spearman
|
| 7734 |
+
value: 86.40317357420093
|
| 7735 |
+
task:
|
| 7736 |
+
type: STS
|
| 7737 |
+
- dataset:
|
| 7738 |
+
config: default
|
| 7739 |
+
name: MTEB Banking77Classification (default)
|
| 7740 |
+
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
|
| 7741 |
+
split: test
|
| 7742 |
+
type: mteb/banking77
|
| 7743 |
+
metrics:
|
| 7744 |
+
- type: accuracy
|
| 7745 |
+
value: 80.0064935064935
|
| 7746 |
+
- type: f1
|
| 7747 |
+
value: 79.29524254086299
|
| 7748 |
+
- type: f1_weighted
|
| 7749 |
+
value: 79.295242540863
|
| 7750 |
+
- type: main_score
|
| 7751 |
+
value: 80.0064935064935
|
| 7752 |
+
task:
|
| 7753 |
+
type: Classification
|
| 7754 |
+
- dataset:
|
| 7755 |
+
config: default
|
| 7756 |
+
name: MTEB BiorxivClusteringP2P (default)
|
| 7757 |
+
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
|
| 7758 |
+
split: test
|
| 7759 |
+
type: mteb/biorxiv-clustering-p2p
|
| 7760 |
+
metrics:
|
| 7761 |
+
- type: main_score
|
| 7762 |
+
value: 35.27186813341181
|
| 7763 |
+
- type: v_measure
|
| 7764 |
+
value: 35.27186813341181
|
| 7765 |
+
- type: v_measure_std
|
| 7766 |
+
value: 0.8621482145872432
|
| 7767 |
+
task:
|
| 7768 |
+
type: Clustering
|
| 7769 |
+
- dataset:
|
| 7770 |
+
config: default
|
| 7771 |
+
name: MTEB BiorxivClusteringS2S (default)
|
| 7772 |
+
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
|
| 7773 |
+
split: test
|
| 7774 |
+
type: mteb/biorxiv-clustering-s2s
|
| 7775 |
+
metrics:
|
| 7776 |
+
- type: main_score
|
| 7777 |
+
value: 28.411805064852295
|
| 7778 |
+
- type: v_measure
|
| 7779 |
+
value: 28.411805064852295
|
| 7780 |
+
- type: v_measure_std
|
| 7781 |
+
value: 0.7194290078011281
|
| 7782 |
+
task:
|
| 7783 |
+
type: Clustering
|
| 7784 |
+
- dataset:
|
| 7785 |
+
config: default
|
| 7786 |
+
name: MTEB EmotionClassification (default)
|
| 7787 |
+
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
|
| 7788 |
+
split: test
|
| 7789 |
+
type: mteb/emotion
|
| 7790 |
+
metrics:
|
| 7791 |
+
- type: accuracy
|
| 7792 |
+
value: 43.675
|
| 7793 |
+
- type: f1
|
| 7794 |
+
value: 40.15061931375577
|
| 7795 |
+
- type: f1_weighted
|
| 7796 |
+
value: 45.714186572727066
|
| 7797 |
+
- type: main_score
|
| 7798 |
+
value: 43.675
|
| 7799 |
+
task:
|
| 7800 |
+
type: Classification
|
| 7801 |
+
- dataset:
|
| 7802 |
+
config: default
|
| 7803 |
+
name: MTEB ImdbClassification (default)
|
| 7804 |
+
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
|
| 7805 |
+
split: test
|
| 7806 |
+
type: mteb/imdb
|
| 7807 |
+
metrics:
|
| 7808 |
+
- type: accuracy
|
| 7809 |
+
value: 84.35640000000001
|
| 7810 |
+
- type: ap
|
| 7811 |
+
value: 79.07507736685174
|
| 7812 |
+
- type: ap_weighted
|
| 7813 |
+
value: 79.07507736685174
|
| 7814 |
+
- type: f1
|
| 7815 |
+
value: 84.32288494833531
|
| 7816 |
+
- type: f1_weighted
|
| 7817 |
+
value: 84.32288494833531
|
| 7818 |
+
- type: main_score
|
| 7819 |
+
value: 84.35640000000001
|
| 7820 |
+
task:
|
| 7821 |
+
type: Classification
|
| 7822 |
+
- dataset:
|
| 7823 |
+
config: en
|
| 7824 |
+
name: MTEB MTOPDomainClassification (en)
|
| 7825 |
+
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 7826 |
+
split: test
|
| 7827 |
+
type: mteb/mtop_domain
|
| 7828 |
+
metrics:
|
| 7829 |
+
- type: accuracy
|
| 7830 |
+
value: 91.35658914728684
|
| 7831 |
+
- type: f1
|
| 7832 |
+
value: 90.86877537911086
|
| 7833 |
+
- type: f1_weighted
|
| 7834 |
+
value: 91.3282092774443
|
| 7835 |
+
- type: main_score
|
| 7836 |
+
value: 91.35658914728684
|
| 7837 |
+
task:
|
| 7838 |
+
type: Classification
|
| 7839 |
+
- dataset:
|
| 7840 |
+
config: en
|
| 7841 |
+
name: MTEB MTOPIntentClassification (en)
|
| 7842 |
+
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
|
| 7843 |
+
split: test
|
| 7844 |
+
type: mteb/mtop_intent
|
| 7845 |
+
metrics:
|
| 7846 |
+
- type: accuracy
|
| 7847 |
+
value: 60.63611491108071
|
| 7848 |
+
- type: f1
|
| 7849 |
+
value: 42.78886482112741
|
| 7850 |
+
- type: f1_weighted
|
| 7851 |
+
value: 63.44208631840539
|
| 7852 |
+
- type: main_score
|
| 7853 |
+
value: 60.63611491108071
|
| 7854 |
+
task:
|
| 7855 |
+
type: Classification
|
| 7856 |
+
- dataset:
|
| 7857 |
+
config: en
|
| 7858 |
+
name: MTEB MassiveIntentClassification (en)
|
| 7859 |
+
revision: 4672e20407010da34463acc759c162ca9734bca6
|
| 7860 |
+
split: test
|
| 7861 |
+
type: mteb/amazon_massive_intent
|
| 7862 |
+
metrics:
|
| 7863 |
+
- type: accuracy
|
| 7864 |
+
value: 66.68796234028245
|
| 7865 |
+
- type: f1
|
| 7866 |
+
value: 64.44940791000278
|
| 7867 |
+
- type: f1_weighted
|
| 7868 |
+
value: 65.77554417406792
|
| 7869 |
+
- type: main_score
|
| 7870 |
+
value: 66.68796234028245
|
| 7871 |
+
task:
|
| 7872 |
+
type: Classification
|
| 7873 |
+
- dataset:
|
| 7874 |
+
config: en
|
| 7875 |
+
name: MTEB MassiveScenarioClassification (en)
|
| 7876 |
+
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
|
| 7877 |
+
split: test
|
| 7878 |
+
type: mteb/amazon_massive_scenario
|
| 7879 |
+
metrics:
|
| 7880 |
+
- type: accuracy
|
| 7881 |
+
value: 73.0598520511096
|
| 7882 |
+
- type: f1
|
| 7883 |
+
value: 72.14267273884774
|
| 7884 |
+
- type: f1_weighted
|
| 7885 |
+
value: 72.93345180137516
|
| 7886 |
+
- type: main_score
|
| 7887 |
+
value: 73.0598520511096
|
| 7888 |
+
task:
|
| 7889 |
+
type: Classification
|
| 7890 |
+
- dataset:
|
| 7891 |
+
config: default
|
| 7892 |
+
name: MTEB MedrxivClusteringP2P (default)
|
| 7893 |
+
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
| 7894 |
+
split: test
|
| 7895 |
+
type: mteb/medrxiv-clustering-p2p
|
| 7896 |
+
metrics:
|
| 7897 |
+
- type: main_score
|
| 7898 |
+
value: 31.143081341699606
|
| 7899 |
+
- type: v_measure
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| 7900 |
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value: 31.143081341699606
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value: 1.5578716347076906
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task:
|
| 7904 |
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type: Clustering
|
| 7905 |
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- dataset:
|
| 7906 |
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config: default
|
| 7907 |
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name: MTEB MedrxivClusteringS2S (default)
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| 7908 |
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revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
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| 7909 |
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split: test
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metrics:
|
| 7912 |
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- type: main_score
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value: 27.010818869829556
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value: 27.010818869829556
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value: 1.1771554540819378
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task:
|
| 7919 |
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type: Clustering
|
| 7920 |
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- dataset:
|
| 7921 |
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config: default
|
| 7922 |
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name: MTEB MindSmallReranking (default)
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| 7923 |
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revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
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| 7924 |
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split: test
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| 7925 |
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type: mteb/mind_small
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metrics:
|
| 7927 |
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- type: main_score
|
| 7928 |
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value: 30.20503776754942
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- type: map
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value: 30.20503776754942
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value: 7.290568655287842
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value: -21.381599355932945
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value: -7.709920607543168
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value: 7.558397329284913
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- type: nAUC_mrr_max
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value: -15.981397186427607
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- type: nAUC_mrr_std
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value: -4.870495243168834
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task:
|
| 7946 |
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type: Reranking
|
| 7947 |
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|
| 7948 |
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config: default
|
| 7949 |
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name: MTEB RedditClustering (default)
|
| 7950 |
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| 7951 |
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| 7952 |
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| 7953 |
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metrics:
|
| 7954 |
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- type: main_score
|
| 7955 |
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value: 51.85893476633338
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- type: v_measure
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value: 51.85893476633338
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value: 4.704770139385852
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task:
|
| 7961 |
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type: Clustering
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| 7962 |
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- dataset:
|
| 7963 |
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config: default
|
| 7964 |
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name: MTEB RedditClusteringP2P (default)
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| 7965 |
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revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
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| 7966 |
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split: test
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type: mteb/reddit-clustering-p2p
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| 7968 |
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metrics:
|
| 7969 |
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- type: main_score
|
| 7970 |
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value: 61.8124222918822
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value: 61.8124222918822
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value: 11.994472578100165
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| 7975 |
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task:
|
| 7976 |
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type: Clustering
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| 7977 |
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- dataset:
|
| 7978 |
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config: default
|
| 7979 |
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name: MTEB SICK-R (default)
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| 7980 |
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revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
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| 7981 |
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split: test
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| 7982 |
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type: mteb/sickr-sts
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| 7983 |
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metrics:
|
| 7984 |
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- type: cosine_pearson
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value: 77.63310776935984
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- type: cosine_spearman
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value: 69.86468291111039
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- type: euclidean_pearson
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value: 73.91537077798837
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| 7990 |
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- type: euclidean_spearman
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value: 69.86468376650203
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value: 69.86468291111039
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- type: manhattan_pearson
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value: 73.68616048370464
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value: 69.76232036206659
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| 8000 |
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| 8001 |
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value: 69.86468291111039
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task:
|
| 8003 |
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type: STS
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| 8004 |
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|
| 8005 |
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config: default
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| 8006 |
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name: MTEB STS12 (default)
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| 8007 |
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split: test
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| 8009 |
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type: mteb/sts12-sts
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metrics:
|
| 8011 |
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value: 57.71716838245049
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- type: cosine_spearman
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value: 61.797855543446424
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value: 58.22958675325848
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value: 61.797855543446424
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value: 61.797855543446424
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value: 57.63117544997929
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value: 61.3629404350085
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| 8027 |
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value: 61.797855543446424
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task:
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| 8030 |
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type: STS
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| 8031 |
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- dataset:
|
| 8032 |
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config: default
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| 8033 |
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name: MTEB STS13 (default)
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| 8034 |
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revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
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| 8035 |
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split: test
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| 8036 |
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type: mteb/sts13-sts
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| 8037 |
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metrics:
|
| 8038 |
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- type: cosine_pearson
|
| 8039 |
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value: 82.30260026790903
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| 8040 |
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- type: cosine_spearman
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| 8041 |
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value: 82.66959813070869
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| 8042 |
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- type: euclidean_pearson
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| 8043 |
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value: 82.08383017580783
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| 8044 |
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| 8047 |
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value: 82.66959813070869
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| 8048 |
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value: 81.77991451392153
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| 8050 |
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| 8053 |
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| 8054 |
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| 8055 |
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value: 82.66959813070869
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| 8056 |
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task:
|
| 8057 |
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type: STS
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| 8058 |
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- dataset:
|
| 8059 |
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config: default
|
| 8060 |
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name: MTEB STS14 (default)
|
| 8061 |
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| 8062 |
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split: test
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| 8063 |
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type: mteb/sts14-sts
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| 8064 |
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metrics:
|
| 8065 |
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- type: cosine_pearson
|
| 8066 |
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value: 71.50608384084478
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| 8067 |
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- type: cosine_spearman
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| 8068 |
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| 8069 |
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| 8070 |
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value: 70.73381299949564
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| 8071 |
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| 8072 |
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value: 68.94968064977785
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| 8074 |
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value: 68.94968064977785
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| 8075 |
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value: 70.5385486953787
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| 8077 |
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| 8080 |
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| 8081 |
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| 8082 |
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value: 68.94968064977785
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| 8083 |
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task:
|
| 8084 |
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type: STS
|
| 8085 |
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- dataset:
|
| 8086 |
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config: default
|
| 8087 |
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name: MTEB STS15 (default)
|
| 8088 |
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revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
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| 8089 |
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split: test
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| 8090 |
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type: mteb/sts15-sts
|
| 8091 |
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metrics:
|
| 8092 |
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- type: cosine_pearson
|
| 8093 |
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value: 73.66969825874907
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| 8094 |
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- type: cosine_spearman
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| 8095 |
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value: 75.55374982088381
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| 8096 |
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- type: euclidean_pearson
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| 8097 |
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value: 75.9339313749594
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| 8098 |
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- type: euclidean_spearman
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| 8099 |
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value: 75.55374982088381
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| 8100 |
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- type: main_score
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| 8101 |
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value: 75.55374982088381
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| 8102 |
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| 8103 |
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value: 75.88287553383817
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| 8104 |
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| 8105 |
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value: 75.50729812977688
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| 8107 |
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| 8108 |
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- type: spearman
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| 8109 |
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value: 75.55374982088381
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| 8110 |
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task:
|
| 8111 |
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type: STS
|
| 8112 |
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- dataset:
|
| 8113 |
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config: default
|
| 8114 |
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name: MTEB STS16 (default)
|
| 8115 |
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revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
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| 8116 |
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split: test
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| 8117 |
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type: mteb/sts16-sts
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| 8118 |
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metrics:
|
| 8119 |
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- type: cosine_pearson
|
| 8120 |
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value: 74.5954724414016
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| 8121 |
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- type: cosine_spearman
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| 8122 |
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value: 77.2688820850505
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| 8123 |
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- type: euclidean_pearson
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| 8124 |
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value: 77.19866353971555
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| 8125 |
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| 8126 |
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value: 77.2688820850505
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| 8127 |
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| 8128 |
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value: 77.2688820850505
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| 8129 |
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value: 77.27072603680978
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| 8131 |
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| 8132 |
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value: 77.29408453673607
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| 8133 |
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| 8134 |
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| 8135 |
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| 8136 |
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value: 77.2688820850505
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| 8137 |
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task:
|
| 8138 |
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type: STS
|
| 8139 |
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- dataset:
|
| 8140 |
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config: en-en
|
| 8141 |
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name: MTEB STS17 (en-en)
|
| 8142 |
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revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
| 8143 |
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split: test
|
| 8144 |
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type: mteb/sts17-crosslingual-sts
|
| 8145 |
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metrics:
|
| 8146 |
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- type: cosine_pearson
|
| 8147 |
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value: 71.52588722654055
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| 8148 |
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- type: cosine_spearman
|
| 8149 |
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value: 74.97235736456061
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| 8150 |
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- type: euclidean_pearson
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| 8151 |
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value: 74.51952528854038
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| 8152 |
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| 8153 |
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value: 74.97235736456061
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| 8154 |
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- type: main_score
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| 8155 |
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value: 74.97235736456061
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| 8156 |
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| 8157 |
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| 8158 |
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| 8159 |
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| 8160 |
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| 8161 |
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| 8162 |
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|
| 8163 |
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value: 74.97235736456061
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| 8164 |
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task:
|
| 8165 |
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type: STS
|
| 8166 |
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- dataset:
|
| 8167 |
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config: en
|
| 8168 |
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name: MTEB STS22 (en)
|
| 8169 |
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revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
| 8170 |
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split: test
|
| 8171 |
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type: mteb/sts22-crosslingual-sts
|
| 8172 |
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metrics:
|
| 8173 |
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- type: cosine_pearson
|
| 8174 |
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value: 68.80031120401976
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| 8175 |
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- type: cosine_spearman
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| 8176 |
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| 8177 |
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| 8178 |
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value: 68.99674496430792
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| 8179 |
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- type: euclidean_spearman
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| 8180 |
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value: 69.07945196478491
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| 8181 |
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- type: main_score
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| 8182 |
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| 8183 |
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| 8184 |
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value: 69.00236107775687
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| 8185 |
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| 8186 |
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| 8187 |
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| 8188 |
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| 8189 |
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| 8190 |
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| 8191 |
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task:
|
| 8192 |
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type: STS
|
| 8193 |
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- dataset:
|
| 8194 |
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config: default
|
| 8195 |
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name: MTEB STSBenchmark (default)
|
| 8196 |
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revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
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| 8197 |
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split: test
|
| 8198 |
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type: mteb/stsbenchmark-sts
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| 8199 |
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metrics:
|
| 8200 |
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- type: cosine_pearson
|
| 8201 |
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value: 65.6898007230089
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| 8202 |
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- type: cosine_spearman
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| 8203 |
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value: 69.72386211803668
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| 8204 |
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| 8205 |
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value: 69.04523003701475
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| 8206 |
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| 8207 |
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| 8209 |
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| 8210 |
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| 8211 |
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| 8212 |
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| 8213 |
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| 8214 |
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| 8215 |
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| 8216 |
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| 8217 |
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| 8218 |
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task:
|
| 8219 |
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type: STS
|
| 8220 |
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- dataset:
|
| 8221 |
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config: default
|
| 8222 |
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name: MTEB SciDocsRR (default)
|
| 8223 |
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| 8224 |
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split: test
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| 8225 |
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|
| 8226 |
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metrics:
|
| 8227 |
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- type: main_score
|
| 8228 |
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value: 79.74088066874383
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| 8229 |
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- type: map
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| 8230 |
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| 8231 |
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| 8243 |
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- type: nAUC_mrr_std
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| 8244 |
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value: 83.63973501802224
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| 8245 |
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task:
|
| 8246 |
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type: Reranking
|
| 8247 |
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- dataset:
|
| 8248 |
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config: default
|
| 8249 |
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name: MTEB SprintDuplicateQuestions (default)
|
| 8250 |
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|
| 8251 |
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split: test
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| 8252 |
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|
| 8253 |
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metrics:
|
| 8254 |
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- type: cosine_accuracy
|
| 8255 |
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value: 99.83861386138614
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value: 91.30434782608695
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| 8266 |
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- type: cosine_recall
|
| 8267 |
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value: 92.4
|
| 8268 |
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- type: dot_accuracy
|
| 8269 |
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value: 99.83861386138614
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| 8270 |
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- type: dot_accuracy_threshold
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| 8271 |
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value: 74.75666999816895
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| 8272 |
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- type: dot_ap
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| 8273 |
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value: 96.15132792066653
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| 8274 |
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- type: dot_f1
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| 8275 |
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value: 91.84890656063618
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| 8276 |
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- type: dot_f1_threshold
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| 8277 |
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value: 71.70596122741699
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| 8278 |
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- type: dot_precision
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| 8279 |
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value: 91.30434782608695
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| 8280 |
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- type: dot_recall
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| 8281 |
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value: 92.4
|
| 8282 |
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- type: euclidean_accuracy
|
| 8283 |
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value: 99.83861386138614
|
| 8284 |
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- type: euclidean_accuracy_threshold
|
| 8285 |
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value: 71.05395793914795
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| 8286 |
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- type: euclidean_ap
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| 8287 |
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value: 96.15132792066652
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| 8288 |
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- type: euclidean_f1
|
| 8289 |
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value: 91.84890656063618
|
| 8290 |
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- type: euclidean_f1_threshold
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| 8291 |
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value: 75.22505521774292
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| 8292 |
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- type: euclidean_precision
|
| 8293 |
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value: 91.30434782608695
|
| 8294 |
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- type: euclidean_recall
|
| 8295 |
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value: 92.4
|
| 8296 |
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- type: main_score
|
| 8297 |
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value: 96.15132792066653
|
| 8298 |
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- type: manhattan_accuracy
|
| 8299 |
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value: 99.83564356435643
|
| 8300 |
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- type: manhattan_accuracy_threshold
|
| 8301 |
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value: 1547.6950645446777
|
| 8302 |
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- type: manhattan_ap
|
| 8303 |
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value: 96.06151211452136
|
| 8304 |
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- type: manhattan_f1
|
| 8305 |
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value: 91.61676646706587
|
| 8306 |
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- type: manhattan_f1_threshold
|
| 8307 |
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value: 1626.3608932495117
|
| 8308 |
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- type: manhattan_precision
|
| 8309 |
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value: 91.43426294820716
|
| 8310 |
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- type: manhattan_recall
|
| 8311 |
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value: 91.8
|
| 8312 |
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- type: max_ap
|
| 8313 |
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value: 96.15132792066653
|
| 8314 |
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- type: max_f1
|
| 8315 |
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value: 91.84890656063618
|
| 8316 |
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- type: max_precision
|
| 8317 |
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value: 91.43426294820716
|
| 8318 |
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- type: max_recall
|
| 8319 |
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value: 92.4
|
| 8320 |
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- type: similarity_accuracy
|
| 8321 |
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value: 99.83861386138614
|
| 8322 |
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- type: similarity_accuracy_threshold
|
| 8323 |
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value: 74.75666999816895
|
| 8324 |
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- type: similarity_ap
|
| 8325 |
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value: 96.15132792066652
|
| 8326 |
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- type: similarity_f1
|
| 8327 |
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value: 91.84890656063618
|
| 8328 |
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- type: similarity_f1_threshold
|
| 8329 |
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value: 71.70594930648804
|
| 8330 |
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- type: similarity_precision
|
| 8331 |
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value: 91.30434782608695
|
| 8332 |
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- type: similarity_recall
|
| 8333 |
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value: 92.4
|
| 8334 |
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task:
|
| 8335 |
+
type: PairClassification
|
| 8336 |
+
- dataset:
|
| 8337 |
+
config: default
|
| 8338 |
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name: MTEB StackExchangeClustering (default)
|
| 8339 |
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revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
| 8340 |
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split: test
|
| 8341 |
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type: mteb/stackexchange-clustering
|
| 8342 |
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metrics:
|
| 8343 |
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- type: main_score
|
| 8344 |
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value: 61.24120328328453
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| 8345 |
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- type: v_measure
|
| 8346 |
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value: 61.24120328328453
|
| 8347 |
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- type: v_measure_std
|
| 8348 |
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value: 3.9946560691100372
|
| 8349 |
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task:
|
| 8350 |
+
type: Clustering
|
| 8351 |
+
- dataset:
|
| 8352 |
+
config: default
|
| 8353 |
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name: MTEB StackExchangeClusteringP2P (default)
|
| 8354 |
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revision: 815ca46b2622cec33ccafc3735d572c266efdb44
|
| 8355 |
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split: test
|
| 8356 |
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type: mteb/stackexchange-clustering-p2p
|
| 8357 |
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metrics:
|
| 8358 |
+
- type: main_score
|
| 8359 |
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value: 33.808268374864745
|
| 8360 |
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- type: v_measure
|
| 8361 |
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value: 33.808268374864745
|
| 8362 |
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- type: v_measure_std
|
| 8363 |
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value: 1.2212188701887239
|
| 8364 |
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task:
|
| 8365 |
+
type: Clustering
|
| 8366 |
+
- dataset:
|
| 8367 |
+
config: default
|
| 8368 |
+
name: MTEB StackOverflowDupQuestions (default)
|
| 8369 |
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revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
|
| 8370 |
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split: test
|
| 8371 |
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type: mteb/stackoverflowdupquestions-reranking
|
| 8372 |
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metrics:
|
| 8373 |
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- type: main_score
|
| 8374 |
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value: 52.19806018468037
|
| 8375 |
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- type: map
|
| 8376 |
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value: 52.19806018468037
|
| 8377 |
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- type: mrr
|
| 8378 |
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value: 52.98921462524404
|
| 8379 |
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- type: nAUC_map_diff1
|
| 8380 |
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value: 37.41443156995912
|
| 8381 |
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- type: nAUC_map_max
|
| 8382 |
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value: 9.410262727675603
|
| 8383 |
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- type: nAUC_map_std
|
| 8384 |
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value: 8.7094185014992
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| 8385 |
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- type: nAUC_mrr_diff1
|
| 8386 |
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value: 37.78202772392581
|
| 8387 |
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- type: nAUC_mrr_max
|
| 8388 |
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value: 10.517635536565816
|
| 8389 |
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- type: nAUC_mrr_std
|
| 8390 |
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value: 8.509423813772491
|
| 8391 |
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task:
|
| 8392 |
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type: Reranking
|
| 8393 |
+
- dataset:
|
| 8394 |
+
config: default
|
| 8395 |
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name: MTEB SummEval (default)
|
| 8396 |
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revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
|
| 8397 |
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split: test
|
| 8398 |
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type: mteb/summeval
|
| 8399 |
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metrics:
|
| 8400 |
+
- type: cosine_pearson
|
| 8401 |
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value: 30.48413700430812
|
| 8402 |
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- type: cosine_spearman
|
| 8403 |
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value: 30.357162200875816
|
| 8404 |
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- type: dot_pearson
|
| 8405 |
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value: 30.484140144824938
|
| 8406 |
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- type: dot_spearman
|
| 8407 |
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value: 30.357162200875816
|
| 8408 |
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- type: main_score
|
| 8409 |
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value: 30.357162200875816
|
| 8410 |
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- type: pearson
|
| 8411 |
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value: 30.48413700430812
|
| 8412 |
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- type: spearman
|
| 8413 |
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value: 30.357162200875816
|
| 8414 |
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task:
|
| 8415 |
+
type: Summarization
|
| 8416 |
+
- dataset:
|
| 8417 |
+
config: default
|
| 8418 |
+
name: MTEB ToxicConversationsClassification (default)
|
| 8419 |
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revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
|
| 8420 |
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split: test
|
| 8421 |
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type: mteb/toxic_conversations_50k
|
| 8422 |
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metrics:
|
| 8423 |
+
- type: accuracy
|
| 8424 |
+
value: 66.8359375
|
| 8425 |
+
- type: ap
|
| 8426 |
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value: 12.482653786025985
|
| 8427 |
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- type: ap_weighted
|
| 8428 |
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value: 12.482653786025985
|
| 8429 |
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- type: f1
|
| 8430 |
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value: 51.328608527332385
|
| 8431 |
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- type: f1_weighted
|
| 8432 |
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value: 74.07974463955398
|
| 8433 |
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- type: main_score
|
| 8434 |
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value: 66.8359375
|
| 8435 |
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task:
|
| 8436 |
+
type: Classification
|
| 8437 |
+
- dataset:
|
| 8438 |
+
config: default
|
| 8439 |
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name: MTEB TweetSentimentExtractionClassification (default)
|
| 8440 |
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revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
| 8441 |
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split: test
|
| 8442 |
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type: mteb/tweet_sentiment_extraction
|
| 8443 |
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metrics:
|
| 8444 |
+
- type: accuracy
|
| 8445 |
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value: 53.907753254103
|
| 8446 |
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- type: f1
|
| 8447 |
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value: 54.22707647269581
|
| 8448 |
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- type: f1_weighted
|
| 8449 |
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value: 53.611822984407695
|
| 8450 |
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- type: main_score
|
| 8451 |
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value: 53.907753254103
|
| 8452 |
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task:
|
| 8453 |
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type: Classification
|
| 8454 |
+
- dataset:
|
| 8455 |
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config: default
|
| 8456 |
+
name: MTEB TwentyNewsgroupsClustering (default)
|
| 8457 |
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revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
| 8458 |
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split: test
|
| 8459 |
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type: mteb/twentynewsgroups-clustering
|
| 8460 |
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metrics:
|
| 8461 |
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- type: main_score
|
| 8462 |
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value: 38.1364789307295
|
| 8463 |
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- type: v_measure
|
| 8464 |
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value: 38.1364789307295
|
| 8465 |
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- type: v_measure_std
|
| 8466 |
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value: 2.0731634966352077
|
| 8467 |
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task:
|
| 8468 |
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type: Clustering
|
| 8469 |
+
- dataset:
|
| 8470 |
+
config: default
|
| 8471 |
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name: MTEB TwitterSemEval2015 (default)
|
| 8472 |
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revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 8473 |
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split: test
|
| 8474 |
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type: mteb/twittersemeval2015-pairclassification
|
| 8475 |
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metrics:
|
| 8476 |
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- type: cosine_accuracy
|
| 8477 |
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value: 82.66674614054956
|
| 8478 |
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- type: cosine_accuracy_threshold
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| 8479 |
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value: 79.80123162269592
|
| 8480 |
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- type: cosine_ap
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| 8481 |
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value: 63.28209719072804
|
| 8482 |
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- type: cosine_f1
|
| 8483 |
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value: 60.16389710903711
|
| 8484 |
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- type: cosine_f1_threshold
|
| 8485 |
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value: 72.22893834114075
|
| 8486 |
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- type: cosine_precision
|
| 8487 |
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value: 52.90232185748599
|
| 8488 |
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- type: cosine_recall
|
| 8489 |
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value: 69.73614775725594
|
| 8490 |
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- type: dot_accuracy
|
| 8491 |
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value: 82.66674614054956
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| 8492 |
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- type: dot_accuracy_threshold
|
| 8493 |
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value: 79.8012375831604
|
| 8494 |
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- type: dot_ap
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| 8495 |
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value: 63.282103870645166
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| 8496 |
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- type: dot_f1
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| 8497 |
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value: 60.16389710903711
|
| 8498 |
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- type: dot_f1_threshold
|
| 8499 |
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value: 72.22894430160522
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| 8500 |
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- type: dot_precision
|
| 8501 |
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value: 52.90232185748599
|
| 8502 |
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- type: dot_recall
|
| 8503 |
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value: 69.73614775725594
|
| 8504 |
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- type: euclidean_accuracy
|
| 8505 |
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value: 82.66674614054956
|
| 8506 |
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- type: euclidean_accuracy_threshold
|
| 8507 |
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value: 63.55905532836914
|
| 8508 |
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- type: euclidean_ap
|
| 8509 |
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value: 63.282095399953164
|
| 8510 |
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- type: euclidean_f1
|
| 8511 |
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value: 60.16389710903711
|
| 8512 |
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- type: euclidean_f1_threshold
|
| 8513 |
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value: 74.5265781879425
|
| 8514 |
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- type: euclidean_precision
|
| 8515 |
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value: 52.90232185748599
|
| 8516 |
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- type: euclidean_recall
|
| 8517 |
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value: 69.73614775725594
|
| 8518 |
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- type: main_score
|
| 8519 |
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value: 63.282103870645166
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| 8520 |
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- type: manhattan_accuracy
|
| 8521 |
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value: 82.74423317637242
|
| 8522 |
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- type: manhattan_accuracy_threshold
|
| 8523 |
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value: 1415.380859375
|
| 8524 |
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- type: manhattan_ap
|
| 8525 |
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value: 63.26931757839598
|
| 8526 |
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- type: manhattan_f1
|
| 8527 |
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value: 60.11014948859166
|
| 8528 |
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- type: manhattan_f1_threshold
|
| 8529 |
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value: 1632.522201538086
|
| 8530 |
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- type: manhattan_precision
|
| 8531 |
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value: 52.359506559624045
|
| 8532 |
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- type: manhattan_recall
|
| 8533 |
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value: 70.55408970976254
|
| 8534 |
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- type: max_ap
|
| 8535 |
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value: 63.282103870645166
|
| 8536 |
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- type: max_f1
|
| 8537 |
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value: 60.16389710903711
|
| 8538 |
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- type: max_precision
|
| 8539 |
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value: 52.90232185748599
|
| 8540 |
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- type: max_recall
|
| 8541 |
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value: 70.55408970976254
|
| 8542 |
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- type: similarity_accuracy
|
| 8543 |
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value: 82.66674614054956
|
| 8544 |
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- type: similarity_accuracy_threshold
|
| 8545 |
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value: 79.80123162269592
|
| 8546 |
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- type: similarity_ap
|
| 8547 |
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value: 63.28209719072804
|
| 8548 |
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- type: similarity_f1
|
| 8549 |
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value: 60.16389710903711
|
| 8550 |
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- type: similarity_f1_threshold
|
| 8551 |
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value: 72.22893834114075
|
| 8552 |
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- type: similarity_precision
|
| 8553 |
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value: 52.90232185748599
|
| 8554 |
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- type: similarity_recall
|
| 8555 |
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value: 69.73614775725594
|
| 8556 |
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task:
|
| 8557 |
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type: PairClassification
|
| 8558 |
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- dataset:
|
| 8559 |
+
config: default
|
| 8560 |
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name: MTEB TwitterURLCorpus (default)
|
| 8561 |
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revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 8562 |
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split: test
|
| 8563 |
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type: mteb/twitterurlcorpus-pairclassification
|
| 8564 |
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metrics:
|
| 8565 |
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- type: cosine_accuracy
|
| 8566 |
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value: 88.10105949470253
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| 8567 |
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- type: cosine_accuracy_threshold
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| 8568 |
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value: 68.95147562026978
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| 8569 |
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- type: cosine_ap
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| 8570 |
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| 8571 |
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- type: cosine_f1
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| 8572 |
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value: 76.54581123301605
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| 8573 |
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- type: cosine_f1_threshold
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| 8574 |
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value: 63.92929553985596
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| 8575 |
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- type: cosine_precision
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| 8576 |
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value: 72.46526344751685
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| 8577 |
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- type: cosine_recall
|
| 8578 |
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value: 81.11333538651063
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| 8579 |
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- type: dot_accuracy
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| 8580 |
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value: 88.10105949470253
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| 8581 |
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- type: dot_accuracy_threshold
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| 8582 |
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value: 68.95147562026978
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| 8583 |
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- type: dot_ap
|
| 8584 |
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| 8585 |
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- type: dot_f1
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| 8586 |
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| 8587 |
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- type: dot_f1_threshold
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| 8588 |
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value: 63.92928957939148
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| 8589 |
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- type: dot_precision
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| 8590 |
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|
| 8591 |
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- type: dot_recall
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| 8592 |
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value: 81.11333538651063
|
| 8593 |
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- type: euclidean_accuracy
|
| 8594 |
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value: 88.10105949470253
|
| 8595 |
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- type: euclidean_accuracy_threshold
|
| 8596 |
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value: 78.80169153213501
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| 8597 |
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- type: euclidean_ap
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| 8598 |
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value: 84.65517268264233
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| 8599 |
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- type: euclidean_f1
|
| 8600 |
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value: 76.54581123301605
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| 8601 |
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- type: euclidean_f1_threshold
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| 8602 |
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value: 84.93610620498657
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| 8603 |
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- type: euclidean_precision
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| 8604 |
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value: 72.46526344751685
|
| 8605 |
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- type: euclidean_recall
|
| 8606 |
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value: 81.11333538651063
|
| 8607 |
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- type: main_score
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| 8608 |
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value: 84.65517268264233
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| 8609 |
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- type: manhattan_accuracy
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| 8610 |
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value: 88.08941669577366
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| 8611 |
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- type: manhattan_accuracy_threshold
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| 8612 |
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value: 1739.3169403076172
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| 8613 |
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- type: manhattan_ap
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| 8614 |
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| 8615 |
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| 8616 |
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| 8617 |
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- type: manhattan_f1_threshold
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| 8618 |
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value: 1861.344337463379
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| 8619 |
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- type: manhattan_precision
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| 8620 |
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value: 72.09775967413442
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| 8621 |
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- type: manhattan_recall
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| 8622 |
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value: 81.76778564829073
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| 8623 |
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- type: max_ap
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| 8624 |
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value: 84.65517268264233
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| 8625 |
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- type: max_f1
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| 8626 |
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value: 76.62890540443034
|
| 8627 |
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- type: max_precision
|
| 8628 |
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value: 72.46526344751685
|
| 8629 |
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- type: max_recall
|
| 8630 |
+
value: 81.76778564829073
|
| 8631 |
+
- type: similarity_accuracy
|
| 8632 |
+
value: 88.10105949470253
|
| 8633 |
+
- type: similarity_accuracy_threshold
|
| 8634 |
+
value: 68.95147562026978
|
| 8635 |
+
- type: similarity_ap
|
| 8636 |
+
value: 84.65516103854583
|
| 8637 |
+
- type: similarity_f1
|
| 8638 |
+
value: 76.54581123301605
|
| 8639 |
+
- type: similarity_f1_threshold
|
| 8640 |
+
value: 63.92929553985596
|
| 8641 |
+
- type: similarity_precision
|
| 8642 |
+
value: 72.46526344751685
|
| 8643 |
+
- type: similarity_recall
|
| 8644 |
+
value: 81.11333538651063
|
| 8645 |
+
task:
|
| 8646 |
+
type: PairClassification
|
| 8647 |
---
|
| 8648 |
|
| 8649 |
|