%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
JA
Stella En 400M V5
S
Stella En 400M V5
billatsectorflowによって開発
Stella 400M v5は英語テキスト埋め込みモデルで、複数のテキスト分類および検索タスクで優れた性能を発揮します。
ダウンロード数 7,630
リリース時間 : 1/22/2025
モデル概要
このモデルは英語テキスト埋め込みモデルで、主にテキスト分類と検索タスクに使用され、複数の標準データセットで優れた性能を示しています。
モデル特徴
高性能テキスト分類
Amazon製品レビュー分類タスクで97.19%の精度を達成
強力なテキスト検索能力
ArguAna検索タスクでNDCG@10スコア64.24を達成
マルチタスク適応性
分類や検索など、様々なテキスト処理タスクでバランスの取れた性能を発揮
モデル能力
テキスト分類
テキスト検索
意味的類似度計算
テキスト埋め込み生成
使用事例
電子商取引
製品レビュー分類
Amazon製品レビューをポジティブ/ネガティブに分類
精度97.19%
製品レビューマルチ分類
Amazon製品レビューを星評価で分類
精度59.53%
情報検索
議論検索
ArguAnaデータセットで議論検索を実施
NDCG@10 64.24
model-index:
- name: stella_en_400M_v5
results:
- dataset:
config: en
name: MTEB AmazonCounterfactualClassification (en)
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
split: test
type: mteb/amazon_counterfactual
metrics:
- type: accuracy value: 92.35820895522387
- type: ap value: 70.81322736988783
- type: ap_weighted value: 70.81322736988783
- type: f1 value: 88.9505466159595
- type: f1_weighted value: 92.68630932872613
- type: main_score value: 92.35820895522387 task: type: Classification
- dataset:
config: default
name: MTEB AmazonPolarityClassification
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
split: test
type: mteb/amazon_polarity
metrics:
- type: accuracy value: 97.1945
- type: ap value: 96.08192192244094
- type: ap_weighted value: 96.08192192244094
- type: f1 value: 97.1936887167346
- type: f1_weighted value: 97.1936887167346
- type: main_score value: 97.1945 task: type: Classification
- dataset:
config: en
name: MTEB AmazonReviewsClassification (en)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics:
- type: accuracy value: 59.528000000000006
- type: f1 value: 59.21016819840188
- type: f1_weighted value: 59.21016819840188
- type: main_score value: 59.528000000000006 task: type: Classification
- dataset:
config: default
name: MTEB ArguAna
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
split: test
type: mteb/arguana
metrics:
- type: main_score value: 64.24
- type: map_at_1 value: 40.398
- type: map_at_10 value: 56.215
- type: map_at_100 value: 56.833999999999996
- type: map_at_1000 value: 56.835
- type: map_at_20 value: 56.747
- type: map_at_3 value: 52.181
- type: map_at_5 value: 54.628
- type: mrr_at_1 value: 41.25177809388336
- type: mrr_at_10 value: 56.570762491815216
- type: mrr_at_100 value: 57.17548614361504
- type: mrr_at_1000 value: 57.176650626377466
- type: mrr_at_20 value: 57.08916253512566
- type: mrr_at_3 value: 52.47747747747754
- type: mrr_at_5 value: 54.94547178757718
- type: nauc_map_at_1000_diff1 value: 22.408086887100158
- type: nauc_map_at_1000_max value: -8.730419096847543
- type: nauc_map_at_1000_std value: -17.789262741255737
- type: nauc_map_at_100_diff1 value: 22.407371684274025
- type: nauc_map_at_100_max value: -8.732263549026266
- type: nauc_map_at_100_std value: -17.79550515579994
- type: nauc_map_at_10_diff1 value: 21.925005073301246
- type: nauc_map_at_10_max value: -8.990323944492134
- type: nauc_map_at_10_std value: -18.199246301671458
- type: nauc_map_at_1_diff1 value: 26.23276644969203
- type: nauc_map_at_1_max value: -12.376511389571245
- type: nauc_map_at_1_std value: -18.11411715207284
- type: nauc_map_at_20_diff1 value: 22.32455790850922
- type: nauc_map_at_20_max value: -8.664671547236034
- type: nauc_map_at_20_std value: -17.8290016125137
- type: nauc_map_at_3_diff1 value: 22.395462147465064
- type: nauc_map_at_3_max value: -8.206580750918844
- type: nauc_map_at_3_std value: -17.604490446911484
- type: nauc_map_at_5_diff1 value: 21.95307379904799
- type: nauc_map_at_5_max value: -8.03958102978443
- type: nauc_map_at_5_std value: -17.36578866595004
- type: nauc_mrr_at_1000_diff1 value: 20.124236798365587
- type: nauc_mrr_at_1000_max value: -9.587376069575898
- type: nauc_mrr_at_1000_std value: -17.79191612151833
- type: nauc_mrr_at_100_diff1 value: 20.123612603474033
- type: nauc_mrr_at_100_max value: -9.589187218607831
- type: nauc_mrr_at_100_std value: -17.7981617777748
- type: nauc_mrr_at_10_diff1 value: 19.723683875738075
- type: nauc_mrr_at_10_max value: -9.774151729178815
- type: nauc_mrr_at_10_std value: -18.168668675495162
- type: nauc_mrr_at_1_diff1 value: 23.945332059908132
- type: nauc_mrr_at_1_max value: -12.260461466152819
- type: nauc_mrr_at_1_std value: -18.007194922921148
- type: nauc_mrr_at_20_diff1 value: 20.04819461810257
- type: nauc_mrr_at_20_max value: -9.518368283588936
- type: nauc_mrr_at_20_std value: -17.831608149836136
- type: nauc_mrr_at_3_diff1 value: 19.8571785245832
- type: nauc_mrr_at_3_max value: -9.464375021240478
- type: nauc_mrr_at_3_std value: -17.728533927330453
- type: nauc_mrr_at_5_diff1 value: 19.670313652167827
- type: nauc_mrr_at_5_max value: -8.966372585728434
- type: nauc_mrr_at_5_std value: -17.468955834324817
- type: nauc_ndcg_at_1000_diff1 value: 21.863049281767417
- type: nauc_ndcg_at_1000_max value: -8.18698520924057
- type: nauc_ndcg_at_1000_std value: -17.634483364794804
- type: nauc_ndcg_at_100_diff1 value: 21.849924385738586
- type: nauc_ndcg_at_100_max value: -8.226437560889345
- type: nauc_ndcg_at_100_std value: -17.774648478087002
- type: nauc_ndcg_at_10_diff1 value: 19.888395590413573
- type: nauc_ndcg_at_10_max value: -8.968706085632382
- type: nauc_ndcg_at_10_std value: -19.31386964628115
- type: nauc_ndcg_at_1_diff1 value: 26.23276644969203
- type: nauc_ndcg_at_1_max value: -12.376511389571245
- type: nauc_ndcg_at_1_std value: -18.11411715207284
- type: nauc_ndcg_at_20_diff1 value: 21.38413342416933
- type: nauc_ndcg_at_20_max value: -7.636238194084164
- type: nauc_ndcg_at_20_std value: -17.946390844693028
- type: nauc_ndcg_at_3_diff1 value: 21.29169165029195
- type: nauc_ndcg_at_3_max value: -6.793840499730093
- type: nauc_ndcg_at_3_std value: -17.52359001586737
- type: nauc_ndcg_at_5_diff1 value: 20.238297656671364
- type: nauc_ndcg_at_5_max value: -6.424992706950072
- type: nauc_ndcg_at_5_std value: -17.082391132291356
- type: nauc_precision_at_1000_diff1 value: -7.05195108528572
- type: nauc_precision_at_1000_max value: 34.439879624882145
- type: nauc_precision_at_1000_std value: 68.72436351659353
- type: nauc_precision_at_100_diff1 value: -2.769464113932605
- type: nauc_precision_at_100_max value: 9.89562961226698
- type: nauc_precision_at_100_std value: -0.5880967482224028
- type: nauc_precision_at_10_diff1 value: 2.1371544726832323
- type: nauc_precision_at_10_max value: -11.93051325147756
- type: nauc_precision_at_10_std value: -30.83144187392059
- type: nauc_precision_at_1_diff1 value: 26.23276644969203
- type: nauc_precision_at_1_max value: -12.376511389571245
- type: nauc_precision_at_1_std value: -18.11411715207284
- type: nauc_precision_at_20_diff1 value: 3.780146814257504
- type: nauc_precision_at_20_max value: 17.06527540214615
- type: nauc_precision_at_20_std value: -20.36832563035565
- type: nauc_precision_at_3_diff1 value: 17.63894384012077
- type: nauc_precision_at_3_max value: -2.0220490624638887
- type: nauc_precision_at_3_std value: -17.285601413493918
- type: nauc_precision_at_5_diff1 value: 12.557855071944601
- type: nauc_precision_at_5_max value: 0.5840236463956658
- type: nauc_precision_at_5_std value: -15.827224420217846
- type: nauc_recall_at_1000_diff1 value: -7.051951085286463
- type: nauc_recall_at_1000_max value: 34.43987962487738
- type: nauc_recall_at_1000_std value: 68.724363516591
- type: nauc_recall_at_100_diff1 value: -2.769464113930314
- type: nauc_recall_at_100_max value: 9.895629612270017
- type: nauc_recall_at_100_std value: -0.58809674821745
- type: nauc_recall_at_10_diff1 value: 2.1371544726834495
- type: nauc_recall_at_10_max value: -11.930513251477253
- type: nauc_recall_at_10_std value: -30.83144187392047
- type: nauc_recall_at_1_diff1 value: 26.23276644969203
- type: nauc_recall_at_1_max value: -12.376511389571245
- type: nauc_recall_at_1_std value: -18.11411715207284
- type: nauc_recall_at_20_diff1 value: 3.7801468142575922
- type: nauc_recall_at_20_max value: 17.0652754021456
- type: nauc_recall_at_20_std value: -20.36832563035559
- type: nauc_recall_at_3_diff1 value: 17.63894384012074
- type: nauc_recall_at_3_max value: -2.02204906246383
- type: nauc_recall_at_3_std value: -17.28560141349386
- type: nauc_recall_at_5_diff1 value: 12.55785507194463
- type: nauc_recall_at_5_max value: 0.5840236463957296
- type: nauc_recall_at_5_std value: -15.827224420217856
- type: ndcg_at_1 value: 40.398
- type: ndcg_at_10 value: 64.24
- type: ndcg_at_100 value: 66.631
- type: ndcg_at_1000 value: 66.65100000000001
- type: ndcg_at_20 value: 66.086
- type: ndcg_at_3 value: 55.938
- type: ndcg_at_5 value: 60.370000000000005
- type: precision_at_1 value: 40.398
- type: precision_at_10 value: 8.962
- type: precision_at_100 value: 0.9950000000000001
- type: precision_at_1000 value: 0.1
- type: precision_at_20 value: 4.836
- type: precision_at_3 value: 22.262
- type: precision_at_5 value: 15.519
- type: recall_at_1 value: 40.398
- type: recall_at_10 value: 89.616
- type: recall_at_100 value: 99.502
- type: recall_at_1000 value: 99.644
- type: recall_at_20 value: 96.72800000000001
- type: recall_at_3 value: 66.78500000000001
- type: recall_at_5 value: 77.596 task: type: Retrieval
- dataset:
config: default
name: MTEB ArxivClusteringP2P
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
split: test
type: mteb/arxiv-clustering-p2p
metrics:
- type: main_score value: 55.1564333205451
- type: v_measure value: 55.1564333205451
- type: v_measure_std value: 14.696883012214512 task: type: Clustering
- dataset:
config: default
name: MTEB ArxivClusteringS2S
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
split: test
type: mteb/arxiv-clustering-s2s
metrics:
- type: main_score value: 49.823698316694795
- type: v_measure value: 49.823698316694795
- type: v_measure_std value: 14.951660654298186 task: type: Clustering
- dataset:
config: default
name: MTEB AskUbuntuDupQuestions
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
split: test
type: mteb/askubuntudupquestions-reranking
metrics:
- type: main_score value: 66.15294503553424
- type: map value: 66.15294503553424
- type: mrr value: 78.53438420612935
- type: nAUC_map_diff1 value: 12.569697092717997
- type: nAUC_map_max value: 21.50670312412572
- type: nAUC_map_std value: 16.943786429229064
- type: nAUC_mrr_diff1 value: 15.590272897361238
- type: nAUC_mrr_max value: 34.96072022474653
- type: nAUC_mrr_std value: 21.649217605241045 task: type: Reranking
- dataset:
config: default
name: MTEB BIOSSES
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
split: test
type: mteb/biosses-sts
metrics:
- type: cosine_pearson value: 85.7824546319275
- type: cosine_spearman value: 83.29587385660628
- type: euclidean_pearson value: 84.58764190565167
- type: euclidean_spearman value: 83.30069324352772
- type: main_score value: 83.29587385660628
- type: manhattan_pearson value: 84.95996839947179
- type: manhattan_spearman value: 83.87480271054358
- type: pearson value: 85.7824546319275
- type: spearman value: 83.29587385660628 task: type: STS
- dataset:
config: default
name: MTEB Banking77Classification
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
split: test
type: mteb/banking77
metrics:
- type: accuracy value: 89.30194805194806
- type: f1 value: 89.26182507266391
- type: f1_weighted value: 89.26182507266391
- type: main_score value: 89.30194805194806 task: type: Classification
- dataset:
config: default
name: MTEB BiorxivClusteringP2P
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
split: test
type: mteb/biorxiv-clustering-p2p
metrics:
- type: main_score value: 50.67972171889736
- type: v_measure value: 50.67972171889736
- type: v_measure_std value: 0.7687409980036303 task: type: Clustering
- dataset:
config: default
name: MTEB BiorxivClusteringS2S
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
split: test
type: mteb/biorxiv-clustering-s2s
metrics:
- type: main_score value: 45.80539715556144
- type: v_measure value: 45.80539715556144
- type: v_measure_std value: 0.9601346216579142 task: type: Clustering
- dataset:
config: default
name: MTEB CQADupstackRetrieval
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
split: test
type: mteb/cqadupstack
metrics:
- type: main_score value: 44.361250000000005
- type: map_at_1 value: 28.304499999999997
- type: map_at_10 value: 38.54841666666666
- type: map_at_100 value: 39.83141666666667
- type: map_at_1000 value: 39.944750000000006
- type: map_at_20 value: 39.25341666666667
- type: map_at_3 value: 35.406749999999995
- type: map_at_5 value: 37.15558333333333
- type: mrr_at_1 value: 34.09077232860122
- type: mrr_at_10 value: 43.15445393211421
- type: mrr_at_100 value: 43.98645286848257
- type: mrr_at_1000 value: 44.037631313469404
- type: mrr_at_20 value: 43.64045813249614
- type: mrr_at_3 value: 40.674138648480486
- type: mrr_at_5 value: 42.106251182620255
- type: nauc_map_at_1000_diff1 value: 46.250011739434996
- type: nauc_map_at_1000_max value: 30.13664446260598
- type: nauc_map_at_1000_std value: 5.422301791618935
- type: nauc_map_at_100_diff1 value: 46.253631351999395
- type: nauc_map_at_100_max value: 30.12612918885181
- type: nauc_map_at_100_std value: 5.367077019987172
- type: nauc_map_at_10_diff1 value: 46.328171341741346
- type: nauc_map_at_10_max value: 29.80274612581464
- type: nauc_map_at_10_std value: 4.62996685176396
- type: nauc_map_at_1_diff1 value: 51.56118117729493
- type: nauc_map_at_1_max value: 27.94885243863768
- type: nauc_map_at_1_std value: 1.700366508927356
- type: nauc_map_at_20_diff1 value: 46.286750260299094
- type: nauc_map_at_20_max value: 29.979205290353278
- type: nauc_map_at_20_std value: 5.010588412441873
- type: nauc_map_at_3_diff1 value: 47.10018183619064
- type: nauc_map_at_3_max value: 29.062318206078753
- type: nauc_map_at_3_std value: 3.2235696254694197
- type: nauc_map_at_5_diff1 value: 46.41971733050039
- type: nauc_map_at_5_max value: 29.456798617695657
- type: nauc_map_at_5_std value: 4.0921691023077145
- type: nauc_mrr_at_1000_diff1 value: 45.88888977975723
- type: nauc_mrr_at_1000_max value: 32.162138978089544
- type: nauc_mrr_at_1000_std value: 6.2811943424217915
- type: nauc_mrr_at_100_diff1 value: 45.87480433011124
- type: nauc_mrr_at_100_max value: 32.16011334212834
- type: nauc_mrr_at_100_std value: 6.2865717772421785
- type: nauc_mrr_at_10_diff1 value: 45.849652904658825
- type: nauc_mrr_at_10_max value: 32.13847916232293
- type: nauc_mrr_at_10_std value: 6.105718728141999
- type: nauc_mrr_at_1_diff1 value: 51.013730325062156
- type: nauc_mrr_at_1_max value: 32.77457396492779
- type: nauc_mrr_at_1_std value: 4.415684893471724
- type: nauc_mrr_at_20_diff1 value: 45.86663046255274
- type: nauc_mrr_at_20_max value: 32.15219360697865
- type: nauc_mrr_at_20_std value: 6.19603046412763
- type: nauc_mrr_at_3_diff1 value: 46.522376582423185
- type: nauc_mrr_at_3_max value: 32.18259009733714
- type: nauc_mrr_at_3_std value: 5.288000648220897
- type: nauc_mrr_at_5_diff1 value: 45.86611481369745
- type: nauc_mrr_at_5_max value: 32.14261639054921
- type: nauc_mrr_at_5_std value: 5.8811238177073735
- type: nauc_ndcg_at_1000_diff1 value: 44.5055097547565
- type: nauc_ndcg_at_1000_max value: 31.149682057975458
- type: nauc_ndcg_at_1000_std value: 8.157937194901333
- type: nauc_ndcg_at_100_diff1 value: 44.12398363638596
- type: nauc_ndcg_at_100_max value: 30.878064321409994
- type: nauc_ndcg_at_100_std value: 8.40493441452808
- type: nauc_ndcg_at_10_diff1 value: 44.200093505221474
- type: nauc_ndcg_at_10_max value: 30.15267107733158
- type: nauc_ndcg_at_10_std value: 6.407495361566107
- type: nauc_ndcg_at_1_diff1 value: 51.013730325062156
- type: nauc_ndcg_at_1_max value: 32.77457396492779
- type: nauc_ndcg_at_1_std value: 4.415684893471724
- type: nauc_ndcg_at_20_diff1 value: 44.16988321564116
- type: nauc_ndcg_at_20_max value: 30.333532500651213
- type: nauc_ndcg_at_20_std value: 7.10024701386895
- type: nauc_ndcg_at_3_diff1 value: 45.35982873879988
- type: nauc_ndcg_at_3_max value: 30.288312457948702
- type: nauc_ndcg_at_3_std value: 4.653900898293395
- type: nauc_ndcg_at_5_diff1 value: 44.324558115380185
- type: nauc_ndcg_at_5_max value: 30.048149698941373
- type: nauc_ndcg_at_5_std value: 5.6684459618413205
- type: nauc_precision_at_1000_diff1 value: -7.282175798304458
- type: nauc_precision_at_1000_max value: 7.820142031765352
- type: nauc_precision_at_1000_std value: 11.736131836431172
- type: nauc_precision_at_100_diff1 value: 1.0222940256506976
- type: nauc_precision_at_100_max value: 16.12346497070298
- type: nauc_precision_at_100_std value: 18.202607395247874
- type: nauc_precision_at_10_diff1 value: 18.289439185857837
- type: nauc_precision_at_10_max value: 26.116517399154375
- type: nauc_precision_at_10_std value: 13.921214069982302
- type: nauc_precision_at_1_diff1 value: 51.013730325062156
- type: nauc_precision_at_1_max value: 32.77457396492779
- type: nauc_precision_at_1_std value: 4.415684893471724
- type: nauc_precision_at_20_diff1 value: 12.365165405210886
- type: nauc_precision_at_20_max value: 22.946297258937367
- type: nauc_precision_at_20_std value: 16.13862870358933
- type: nauc_precision_at_3_diff1 value: 32.063423642849685
- type: nauc_precision_at_3_max value: 30.140965811989407
- type: nauc_precision_at_3_std value: 8.501746262550146
- type: nauc_precision_at_5_diff1 value: 24.777203357717948
- type: nauc_precision_at_5_max value: 28.401579566848472
- type: nauc_precision_at_5_std value: 11.643246774390914
- type: nauc_recall_at_1000_diff1 value: 30.04216463401409
- type: nauc_recall_at_1000_max value: 34.98067760563842
- type: nauc_recall_at_1000_std value: 48.01453905250591
- type: nauc_recall_at_100_diff1 value: 31.193415507513972
- type: nauc_recall_at_100_max value: 28.69740149270981
- type: nauc_recall_at_100_std value: 25.20960758920368
- type: nauc_recall_at_10_diff1 value: 36.18870823636506
- type: nauc_recall_at_10_max value: 26.005625231341238
- type: nauc_recall_at_10_std value: 8.891983977041376
- type: nauc_recall_at_1_diff1 value: 51.56118117729493
- type: nauc_recall_at_1_max value: 27.94885243863768
- type: nauc_recall_at_1_std value: 1.700366508927356
- type: nauc_recall_at_20_diff1 value: 34.93996118564803
- type: nauc_recall_at_20_max value: 26.149961715956138
- type: nauc_recall_at_20_std value: 12.0657502367633
- type: nauc_recall_at_3_diff1 value: 40.80743946709512
- type: nauc_recall_at_3_max value: 26.443127773025783
- type: nauc_recall_at_3_std value: 3.7011448604241477
- type: nauc_recall_at_5_diff1 value: 37.608535157055776
- type: nauc_recall_at_5_max value: 26.168016189725822
- type: nauc_recall_at_5_std value: 6.344191564595316
- type: ndcg_at_1 value: 34.09083333333333
- type: ndcg_at_10 value: 44.361250000000005
- type: ndcg_at_100 value: 49.586166666666664
- type: ndcg_at_1000 value: 51.623583333333336
- type: ndcg_at_20 value: 46.40158333333333
- type: ndcg_at_3 value: 39.27733333333333
- type: ndcg_at_5 value: 41.662333333333336
- type: precision_at_1 value: 34.09083333333333
- type: precision_at_10 value: 7.957000000000002
- type: precision_at_100 value: 1.2521666666666669
- type: precision_at_1000 value: 0.16125
- type: precision_at_20 value: 4.6755
- type: precision_at_3 value: 18.402083333333334
- type: precision_at_5 value: 13.104333333333335
- type: recall_at_1 value: 28.304499999999997
- type: recall_at_10 value: 56.80666666666667
- type: recall_at_100 value: 79.66208333333334
- type: recall_at_1000 value: 93.6455
- type: recall_at_20 value: 64.2495
- type: recall_at_3 value: 42.431333333333335
- type: recall_at_5 value: 48.665416666666665 task: type: Retrieval
- dataset:
config: default
name: MTEB ClimateFEVER
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
split: test
type: mteb/climate-fever
metrics:
- type: main_score value: 43.525999999999996
- type: map_at_1 value: 19.291
- type: map_at_10 value: 33.471000000000004
- type: map_at_100 value: 35.388999999999996
- type: map_at_1000 value: 35.568
- type: map_at_20 value: 34.496
- type: map_at_3 value: 28.713
- type: map_at_5 value: 31.384
- type: mrr_at_1 value: 43.77850162866449
- type: mrr_at_10 value: 56.28576598934912
- type: mrr_at_100 value: 56.8588518168194
- type: mrr_at_1000 value: 56.878236725973544
- type: mrr_at_20 value: 56.6409328120183
- type: mrr_at_3 value: 53.56134636264935
- type: mrr_at_5 value: 55.27795874049956
- type: nauc_map_at_1000_diff1 value: 27.262513153363876
- type: nauc_map_at_1000_max value: 40.099398684385584
- type: nauc_map_at_1000_std value: 18.847812394005512
- type: nauc_map_at_100_diff1 value: 27.238993503030745
- type: nauc_map_at_100_max value: 40.07730434492169
- type: nauc_map_at_100_std value: 18.795349250833684
- type: nauc_map_at_10_diff1 value: 27.70929180366227
- type: nauc_map_at_10_max value: 39.55987024970173
- type: nauc_map_at_10_std value: 17.214881544648996
- type: nauc_map_at_1_diff1 value: 43.34155892182403
- type: nauc_map_at_1_max value: 38.23324890148018
- type: nauc_map_at_1_std value: 6.0781444393516075
- type: nauc_map_at_20_diff1 value: 27.311577477800103
- type: nauc_map_at_20_max value: 39.624414083413456
- type: nauc_map_at_20_std value: 18.149811054163287
- type: nauc_map_at_3_diff1 value: 30.475965062734367
- type: nauc_map_at_3_max value: 38.49324825043695
- type: nauc_map_at_3_std value: 13.357656038648487
- type: nauc_map_at_5_diff1 value: 28.425110095017747
- type: nauc_map_at_5_max value: 39.017894870747796
- type: nauc_map_at_5_std value: 15.543817194122564
- type: nauc_mrr_at_1000_diff1 value: 33.16689354701644
- type: nauc_mrr_at_1000_max value: 41.70755363247148
- type: nauc_mrr_at_1000_std value: 24.61667417463176
- type: nauc_mrr_at_100_diff1 value: 33.147229262917506
- type: nauc_mrr_at_100_max value: 41.712455697170725
- type: nauc_mrr_at_100_std value: 24.6418922043652
- type: nauc_mrr_at_10_diff1 value: 32.94185191112572
- type: nauc_mrr_at_10_max value: 41.64272730141954
- type: nauc_mrr_at_10_std value: 24.663391015702707
- type: nauc_mrr_at_1_diff1 value: 39.571969559016395
- type: nauc_mrr_at_1_max value: 39.396249211263495
- type: nauc_mrr_at_1_std value: 16.984149923258357
- type: nauc_mrr_at_20_diff1 value: 33.10040770334742
- type: nauc_mrr_at_20_max value: 41.807565560083034
- type: nauc_mrr_at_20_std value: 24.8064180365271
- type: nauc_mrr_at_3_diff1 value: 33.065406161485704
- type: nauc_mrr_at_3_max value: 41.049510969934694
- type: nauc_mrr_at_3_std value: 23.18371458928609
- type: nauc_mrr_at_5_diff1 value: 33.2389593543916
- type: nauc_mrr_at_5_max value: 41.629486918949915
- type: nauc_mrr_at_5_std value: 24.5777253036149
- type: nauc_ndcg_at_1000_diff1 value: 25.868840609197637
- type: nauc_ndcg_at_1000_max value: 42.79564910784761
- type: nauc_ndcg_at_1000_std value: 27.035091271680113
- type: nauc_ndcg_at_100_diff1 value: 25.019789319579942
- type: nauc_ndcg_at_100_max value: 42.482345143533735
- type: nauc_ndcg_at_100_std value: 26.76872010731345
- type: nauc_ndcg_at_10_diff1 value: 25.949464660653238
- type: nauc_ndcg_at_10_max value: 40.79769544643906
- type: nauc_ndcg_at_10_std value: 22.486116508973204
- type: nauc_ndcg_at_1_diff1 value: 39.571969559016395
- type: nauc_ndcg_at_1_max value: 39.396249211263495
- type: nauc_ndcg_at_1_std value: 16.984149923258357
- type: nauc_ndcg_at_20_diff1 value: 25.173455685962214
- type: nauc_ndcg_at_20_max value: 40.88873540662413
- type: nauc_ndcg_at_20_std value: 24.4451041955519
- type: nauc_ndcg_at_3_diff1 value: 28.185416070726333
- type: nauc_ndcg_at_3_max value: 39.10600031163912
- type: nauc_ndcg_at_3_std value: 18.42694044215541
- type: nauc_ndcg_at_5_diff1 value: 27.112647584005583
- type: nauc_ndcg_at_5_max value: 40.154045682322526
- type: nauc_ndcg_at_5_std value: 20.26822517176828
- type: nauc_precision_at_1000_diff1 value: -16.42087927044017
- type: nauc_precision_at_1000_max value: 3.5326295053913
- type: nauc_precision_at_1000_std value: 24.406810708493197
- type: nauc_precision_at_100_diff1 value: -12.17648135724982
- type: nauc_precision_at_100_max value: 15.895489260126183
- type: nauc_precision_at_100_std value: 32.48346122610907
- type: nauc_precision_at_10_diff1 value: -1.2493131347748072
- type: nauc_precision_at_10_max value: 26.409459305604376
- type: nauc_precision_at_10_std value: 31.115432019300016
- type: nauc_precision_at_1_diff1 value: 39.571969559016395
- type: nauc_precision_at_1_max value: 39.396249211263495
- type: nauc_precision_at_1_std value: 16.984149923258357
- type: nauc_precision_at_20_diff1 value: -6.597509397240593
- type: nauc_precision_at_20_max value: 21.461984620659695
- type: nauc_precision_at_20_std value: 32.9450259748889
- type: nauc_precision_at_3_diff1 value: 9.46378764865453
- type: nauc_precision_at_3_max value: 32.03650819375425
- type: nauc_precision_at_3_std value: 26.489382638510765
- type: nauc_precision_at_5_diff1 value: 3.5987036728169537
- type: nauc_precision_at_5_max value: 30.633955978579703
- type: nauc_precision_at_5_std value: 30.532430088014443
- type: nauc_recall_at_1000_diff1 value: 10.714633106872254
- type: nauc_recall_at_1000_max value: 43.94958623961
- type: nauc_recall_at_1000_std value: 51.78914468954123
- type: nauc_recall_at_100_diff1 value: 9.63781472255557
- type: nauc_recall_at_100_max value: 38.50917465255336
- type: nauc_recall_at_100_std value: 37.78623984642377
- type: nauc_recall_at_10_diff1 value: 16.480342820841688
- type: nauc_recall_at_10_max value: 35.982566867357406
- type: nauc_recall_at_10_std value: 23.30688188788895
- type: nauc_recall_at_1_diff1 value: 43.34155892182403
- type: nauc_recall_at_1_max value: 38.23324890148018
- type: nauc_recall_at_1_std value: 6.0781444393516075
- type: nauc_recall_at_20_diff1 value: 13.521048985146367
- type: nauc_recall_at_20_max value: 34.62462209239834
- type: nauc_recall_at_20_std value: 27.85924191501618
- type: nauc_recall_at_3_diff1 value: 23.57032748533523
- type: nauc_recall_at_3_max value: 36.32703197635613
- type: nauc_recall_at_3_std value: 15.730238734014337
- type: nauc_recall_at_5_diff1 value: 19.61387036368584
- type: nauc_recall_at_5_max value: 36.22030835529556
- type: nauc_recall_at_5_std value: 19.76310648649897
- type: ndcg_at_1 value: 43.779
- type: ndcg_at_10 value: 43.525999999999996
- type: ndcg_at_100 value: 50.138000000000005
- type: ndcg_at_1000 value: 52.991
- type: ndcg_at_20 value: 46.083
- type: ndcg_at_3 value: 38.002
- type: ndcg_at_5 value: 39.842
- type: precision_at_1 value: 43.779
- type: precision_at_10 value: 13.205
- type: precision_at_100 value: 2.051
- type: precision_at_1000 value: 0.259
- type: precision_at_20 value: 7.722999999999999
- type: precision_at_3 value: 28.903000000000002
- type: precision_at_5 value: 21.368000000000002
- type: recall_at_1 value: 19.291
- type: recall_at_10 value: 48.754
- type: recall_at_100 value: 70.97200000000001
- type: recall_at_1000 value: 86.611
- type: recall_at_20 value: 55.884
- type: recall_at_3 value: 34.101
- type: recall_at_5 value: 40.784 task: type: Retrieval
- dataset:
config: default
name: MTEB DBPedia
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
split: test
type: mteb/dbpedia
metrics:
- type: main_score value: 49.884
- type: map_at_1 value: 9.913
- type: map_at_10 value: 23.186999999999998
- type: map_at_100 value: 34.207
- type: map_at_1000 value: 36.318
- type: map_at_20 value: 27.419
- type: map_at_3 value: 15.656
- type: map_at_5 value: 18.945999999999998
- type: mrr_at_1 value: 75.75
- type: mrr_at_10 value: 82.16279761904761
- type: mrr_at_100 value: 82.48445635330299
- type: mrr_at_1000 value: 82.4870246719901
- type: mrr_at_20 value: 82.36203632968338
- type: mrr_at_3 value: 81.29166666666666
- type: mrr_at_5 value: 82.02916666666667
- type: nauc_map_at_1000_diff1 value: 17.0739966990996
- type: nauc_map_at_1000_max value: 28.440065298437133
- type: nauc_map_at_1000_std value: 20.83498154003865
- type: nauc_map_at_100_diff1 value: 17.75982086107111
- type: nauc_map_at_100_max value: 26.87850835673573
- type: nauc_map_at_100_std value: 18.350282298599275
- type: nauc_map_at_10_diff1 value: 17.15984258564116
- type: nauc_map_at_10_max value: 10.846179132675553
- type: nauc_map_at_10_std value: -6.263534464094614
- type: nauc_map_at_1_diff1 value: 24.014897777973694
- type: nauc_map_at_1_max value: -4.556638938723358
- type: nauc_map_at_1_std value: -22.7844467526989
- type: nauc_map_at_20_diff1 value: 16.3179372493187
- type: nauc_map_at_20_max value: 17.176378915498915
- type: nauc_map_at_20_std value: 1.9378637630340372
- type: nauc_map_at_3_diff1 value: 19.12786794046792
- type: nauc_map_at_3_max value: 0.09063919305677291
- type: nauc_map_at_3_std value: -16.713143158330492
- type: nauc_map_at_5_diff1 value: 18.76504725420023
- type: nauc_map_at_5_max value: 5.040867712207419
- type: nauc_map_at_5_std value: -12.382578318931165
- type: nauc_mrr_at_1000_diff1 value: 54.61266255011247
- type: nauc_mrr_at_1000_max value: 60.83961280977112
- type: nauc_mrr_at_1000_std value: 32.70429260443016
- type: nauc_mrr_at_100_diff1 value: 54.61346236538542
- type: nauc_mrr_at_100_max value: 60.8407974416647
- type: nauc_mrr_at_100_std value: 32.69272843993462
- type: nauc_mrr_at_10_diff1 value: 54.74633685810871
- type: nauc_mrr_at_10_max value: 61.084525933097865
- type: nauc_mrr_at_10_std value: 33.001220210025565
- type: nauc_mrr_at_1_diff1 value: 56.12708423835806
- type: nauc_mrr_at_1_max value: 58.9314540998289
- type: nauc_mrr_at_1_std value: 27.39422607651012
- type: nauc_mrr_at_20_diff1 value: 54.58896150245695
- type: nauc_mrr_at_20_max value: 60.890929983464815
- type: nauc_mrr_at_20_std value: 32.65559641276393
- type: nauc_mrr_at_3_diff1 value: 54.38229071443791
- type: nauc_mrr_at_3_max value: 59.987849044098596
- type: nauc_mrr_at_3_std value: 33.439813880719974
- type: nauc_mrr_at_5_diff1 value: 54.961790262449824
- type: nauc_mrr_at_5_max value: 61.17705173908951
- type: nauc_mrr_at_5_std value: 33.30939850734856
- type: nauc_ndcg_at_1000_diff1 value: 29.27465932507067
- type: nauc_ndcg_at_1000_max value: 47.952543312315214
- type: nauc_ndcg_at_1000_std value: 36.17132236391485
- type: nauc_ndcg_at_100_diff1 value: 28.63072328980134
- type: nauc_ndcg_at_100_max value: 41.460833419186564
- type: nauc_ndcg_at_100_std value: 27.157100358988135
- type: nauc_ndcg_at_10_diff1 value: 23.41488013023301
- type: nauc_ndcg_at_10_max value: 39.27798133072349
- type: nauc_ndcg_at_10_std value: 21.979241438928312
- type: nauc_ndcg_at_1_diff1 value: 46.12120543657642
- type: nauc_ndcg_at_1_max value: 47.28452124039853
- type: nauc_ndcg_at_1_std value: 19.799884708952543
- type: nauc_ndcg_at_20_diff1 value: 23.627669045115574
- type: nauc_ndcg_at_20_max value: 35.88225062457673
- type: nauc_ndcg_at_20_std value: 18.218628030529498
- type: nauc_ndcg_at_3_diff1 value: 25.37309228946118
- type: nauc_ndcg_at_3_max value: 40.64426332992231
- type: nauc_ndcg_at_3_std value: 24.608330645901482
- type: nauc_ndcg_at_5_diff1 value: 24.055798594999654
- type: nauc_ndcg_at_5_max value: 41.16180524175431
- type: nauc_ndcg_at_5_std value: 24.048305528761315
- type: nauc_precision_at_1000_diff1 value: -18.234943251015576
- type: nauc_precision_at_1000_max value: 0.48708502364659184
- type: nauc_precision_at_1000_std value: 2.4473601543134027
- type: nauc_precision_at_100_diff1 value: -3.0077810947381227
- type: nauc_precision_at_100_max value: 25.27249321108913
- type: nauc_precision_at_100_std value: 37.36575792126928
- type: nauc_precision_at_10_diff1 value: -0.2393778190297635
- type: nauc_precision_at_10_max value: 36.40513293547299
- type: nauc_precision_at_10_std value: 37.4827885766009
- type: nauc_precision_at_1_diff1 value: 56.12708423835806
- type: nauc_precision_at_1_max value: 58.9314540998289
- type: nauc_precision_at_1_std value: 27.39422607651012
- type: nauc_precision_at_20_diff1 value: -1.2010133229402933
- type: nauc_precision_at_20_max value: 34.117541814385966
- type: nauc_precision_at_20_std value: 39.13273254177449
- type: nauc_precision_at_3_diff1 value: 11.757378092198486
- type: nauc_precision_at_3_max value: 42.637962482588875
- type: nauc_precision_at_3_std value: 37.42465077352342
- type: nauc_precision_at_5_diff1 value: 7.233177203405101
- type: nauc_precision_at_5_max value: 43.1663582897407
- type: nauc_precision_at_5_std value: 38.848449220750055
- type: nauc_recall_at_1000_diff1 value: 27.33938551969145
- type: nauc_recall_at_1000_max value: 45.5614254479334
- type: nauc_recall_at_1000_std value: 50.58528916250458
- type: nauc_recall_at_100_diff1 value: 23.610383761920097
- type: nauc_recall_at_100_max value: 31.422168485847184
- type: nauc_recall_at_100_std value: 25.58649926458304
- type: nauc_recall_at_10_diff1 value: 14.62495111808408
- type: nauc_recall_at_10_max value: 7.4295041277681095
- type: nauc_recall_at_10_std value: -9.32297089600654
- type: nauc_recall_at_1_diff1 value: 24.014897777973694
- type: nauc_recall_at_1_max value: -4.556638938723358
- type: nauc_recall_at_1_std value: -22.7844467526989
- type: nauc_recall_at_20_diff1 value: 14.027862330014662
- type: nauc_recall_at_20_max value: 12.437478731690844
- type: nauc_recall_at_20_std value: -3.0740743798103676
- type: nauc_recall_at_3_diff1 value: 16.354018356566712
- type: nauc_recall_at_3_max value: -2.9812231240997917
- type: nauc_recall_at_3_std value: -18.27746460743442
- type: nauc_recall_at_5_diff1 value: 16.81486583473587
- type: nauc_recall_at_5_max value: 2.420128513974744
- type: nauc_recall_at_5_std value: -14.441820321214108
- type: ndcg_at_1 value: 63.87500000000001
- type: ndcg_at_10 value: 49.884
- type: ndcg_at_100 value: 54.738
- type: ndcg_at_1000 value: 61.635
- type: ndcg_at_20 value: 48.894999999999996
- type: ndcg_at_3 value: 54.287
- type: ndcg_at_5 value: 52.40899999999999
- type: precision_at_1 value: 75.75
- type: precision_at_10 value: 40.9
- type: precision_at_100 value: 13.139999999999999
- type: precision_at_1000 value: 2.533
- type: precision_at_20 value: 30.8
- type: precision_at_3 value: 57.667
- type: precision_at_5 value: 51.05
- type: recall_at_1 value: 9.913
- type: recall_at_10 value: 28.591
- type: recall_at_100 value: 61.017999999999994
- type: recall_at_1000 value: 83.383
- type: recall_at_20 value: 37.834
- type: recall_at_3 value: 17.049
- type: recall_at_5 value: 21.685 task: type: Retrieval
- dataset:
config: default
name: MTEB EmotionClassification
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
split: test
type: mteb/emotion
metrics:
- type: accuracy value: 78.77499999999999
- type: f1 value: 73.74058240799386
- type: f1_weighted value: 79.78804377638227
- type: main_score value: 78.77499999999999 task: type: Classification
- dataset:
config: default
name: MTEB FEVER
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
split: test
type: mteb/fever
metrics:
- type: main_score value: 90.986
- type: map_at_1 value: 81.601
- type: map_at_10 value: 88.242
- type: map_at_100 value: 88.46000000000001
- type: map_at_1000 value: 88.472
- type: map_at_20 value: 88.375
- type: map_at_3 value: 87.237
- type: map_at_5 value: 87.85300000000001
- type: mrr_at_1 value: 87.81878187818782
- type: mrr_at_10 value: 92.20301196786335
- type: mrr_at_100 value: 92.24884236673292
- type: mrr_at_1000 value: 92.2496338899362
- type: mrr_at_20 value: 92.23112073283473
- type: mrr_at_3 value: 91.77417741774165
- type: mrr_at_5 value: 92.03970397039689
- type: nauc_map_at_1000_diff1 value: 56.54670664910505
- type: nauc_map_at_1000_max value: 33.08375749975477
- type: nauc_map_at_1000_std value: 2.7491595418252865
- type: nauc_map_at_100_diff1 value: 56.50887688686924
- type: nauc_map_at_100_max value: 33.075487189958494
- type: nauc_map_at_100_std value: 2.7675869969253375
- type: nauc_map_at_10_diff1 value: 56.08080806610569
- type: nauc_map_at_10_max value: 32.776972098819066
- type: nauc_map_at_10_std value: 2.5904846711290097
- type: nauc_map_at_1_diff1 value: 60.645344065853145
- type: nauc_map_at_1_max value: 31.232776777514797
- type: nauc_map_at_1_std value: -1.1946138176109171
- type: nauc_map_at_20_diff1 value: 56.28378454162355
- type: nauc_map_at_20_max value: 32.98207150385811
- type: nauc_map_at_20_std value: 2.8469814040214025
- type: nauc_map_at_3_diff1 value: 55.81958007095375
- type: nauc_map_at_3_max value: 31.602707711038313
- type: nauc_map_at_3_std value: 0.8117019292273401
- type: nauc_map_at_5_diff1 value: 55.706025752316535
- type: nauc_map_at_5_max value: 32.16032683604737
- type: nauc_map_at_5_std value: 1.8853201503498669
- type: nauc_mrr_at_1000_diff1 value: 75.4997173366251
- type: nauc_mrr_at_1000_max value: 41.49117135484116
- type: nauc_mrr_at_1000_std value: -2.0636172883680852
- type: nauc_mrr_at_100_diff1 value: 75.50118860648519
- type: nauc_mrr_at_100_max value: 41.49490161517194
- type: nauc_mrr_at_100_std value: -2.057024385178682
- type: nauc_mrr_at_10_diff1 value: 75.47295153099428
- type: nauc_mrr_at_10_max value: 41.55003304042536
- type: nauc_mrr_at_10_std value: -2.0353663198929253
- type: nauc_mrr_at_1_diff1 value: 76.632058433229
- type: nauc_mrr_at_1_max value: 39.754483718891656
- type: nauc_mrr_at_1_std value: -2.962241058101701
- type: nauc_mrr_at_20_diff1 value: 75.47221882396194
- type: nauc_mrr_at_20_max value: 41.50779280480839
- type: nauc_mrr_at_20_std value: -1.9620212266426307
- type: nauc_mrr_at_3_diff1 value: 75.5682297897137
- type: nauc_mrr_at_3_max value: 41.53543801506081
- type: nauc_mrr_at_3_std value: -3.391681195945978
- type: nauc_mrr_at_5_diff1 value: 75.37562775183947
- type: nauc_mrr_at_5_max value: 41.42028509006753
- type: nauc_mrr_at_5_std value: -2.418698675622726
- type: nauc_ndcg_at_1000_diff1 value: 59.364557011624
- type: nauc_ndcg_at_1000_max value: 35.4112238125149
- type: nauc_ndcg_at_1000_std value: 3.717516193303376
- type: nauc_ndcg_at_100_diff1 value: 58.55706703023122
- type: nauc_ndcg_at_100_max value: 35.352285999934594
- type: nauc_ndcg_at_100_std value: 4.273437944266781
- type: nauc_ndcg_at_10_diff1 value: 56.77422701267037
- type: nauc_ndcg_at_10_max value: 34.24909893882957
- type: nauc_ndcg_at_10_std value: 4.178151434006727
- type: nauc_ndcg_at_1_diff1 value: 76.632058433229
- type: nauc_ndcg_at_1_max value: 39.754483718891656
- type: nauc_ndcg_at_1_std value: -2.962241058101701
- type: nauc_ndcg_at_20_diff1 value: 57.27343398231262
- type: nauc_ndcg_at_20_max value: 34.7416626740278
- type: nauc_ndcg_at_20_std value: 4.955858766014002
- type: nauc_ndcg_at_3_diff1 value: 57.69267803121093
- type: nauc_ndcg_at_3_max value: 33.13744317023105
- type: nauc_ndcg_at_3_std value: 0.40380284030057023
- type: nauc_ndcg_at_5_diff1 value: 56.57461019113917
- type: nauc_ndcg_at_5_max value: 33.244657840804386
- type: nauc_ndcg_at_5_std value: 2.5121440827702046
- type: nauc_precision_at_1000_diff1 value: -14.54492513449718
- type: nauc_precision_at_1000_max value: -5.94552147573623
- type: nauc_precision_at_1000_std value: 1.2446209816057374
- type: nauc_precision_at_100_diff1 value: -15.452676132568344
- type: nauc_precision_at_100_max value: -3.760241749847617
- type: nauc_precision_at_100_std value: 4.623534605290865
- type: nauc_precision_at_10_diff1 value: -12.712908026086176
- type: nauc_precision_at_10_max value: 0.45241316994816805
- type: nauc_precision_at_10_std value: 7.849478570138391
- type: nauc_precision_at_1_diff1 value: 76.632058433229
- type: nauc_precision_at_1_max value: 39.754483718891656
- type: nauc_precision_at_1_std value: -2.962241058101701
- type: nauc_precision_at_20_diff1 value: -14.514618673172041
- type: nauc_precision_at_20_max value: -1.113635490621818
- type: nauc_precision_at_20_std value: 8.599811730457576
- type: nauc_precision_at_3_diff1 value: 6.1367799850003815
- type: nauc_precision_at_3_max value: 8.466271950897857
- type: nauc_precision_at_3_std value: 1.7458051543195068
- type: nauc_precision_at_5_diff1 value: -5.804548945783379
- type: nauc_precision_at_5_max value: 3.4060251839074818
- type: nauc_precision_at_5_std value: 5.583410511782371
- type: nauc_recall_at_1000_diff1 value: 19.329432953574095
- type: nauc_recall_at_1000_max value: 43.260442595158736
- type: nauc_recall_at_1000_std value: 53.89644660661804
- type: nauc_recall_at_100_diff1 value: 21.265326296051235
- type: nauc_recall_at_100_max value: 38.573000195373695
- type: nauc_recall_at_100_std value: 42.169391082152785
- type: nauc_recall_at_10_diff1 value: 29.785129558987432
- type: nauc_recall_at_10_max value: 28.379657867558034
- type: nauc_recall_at_10_std value: 21.132574624091973
- type: nauc_recall_at_1_diff1 value: 60.645344065853145
- type: nauc_recall_at_1_max value: 31.232776777514797
- type: nauc_recall_at_1_std value: -1.1946138176109171
- type: nauc_recall_at_20_diff1 value: 25.88845612373954
- type: nauc_recall_at_20_max value: 30.24785945821152
- type: nauc_recall_at_20_std value: 31.73911437468067
- type: nauc_recall_at_3_diff1 value: 42.2968464797395
- type: nauc_recall_at_3_max value: 26.494318009870018
- type: nauc_recall_at_3_std value: 2.6045977160467544
- type: nauc_recall_at_5_diff1 value: 35.81340094401374
- type: nauc_recall_at_5_max value: 25.91082947510634
- type: nauc_recall_at_5_std value: 9.759404930864779
- type: ndcg_at_1 value: 87.819
- type: ndcg_at_10 value: 90.986
- type: ndcg_at_100 value: 91.69
- type: ndcg_at_1000 value: 91.863
- type: ndcg_at_20 value: 91.293
- type: ndcg_at_3 value: 89.621
- type: ndcg_at_5 value: 90.333
- type: precision_at_1 value: 87.819
- type: precision_at_10 value: 10.753
- type: precision_at_100 value: 1.138
- type: precision_at_1000 value: 0.117
- type: precision_at_20 value: 5.4879999999999995
- type: precision_at_3 value: 33.703
- type: precision_at_5 value: 20.831
- type: recall_at_1 value: 81.601
- type: recall_at_10 value: 95.44200000000001
- type: recall_at_100 value: 98.14399999999999
- type: recall_at_1000 value: 99.157
- type: recall_at_20 value: 96.43
- type: recall_at_3 value: 91.729
- type: recall_at_5 value: 93.552 task: type: Retrieval
- dataset:
config: default
name: MTEB FiQA2018
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
split: test
type: mteb/fiqa
metrics:
- type: main_score value: 56.056
- type: map_at_1 value: 28.666000000000004
- type: map_at_10 value: 47.437000000000005
- type: map_at_100 value: 49.537
- type: map_at_1000 value: 49.665
- type: map_at_20 value: 48.618
- type: map_at_3 value: 41.355
- type: map_at_5 value: 44.525
- type: mrr_at_1 value: 55.55555555555556
- type: mrr_at_10 value: 63.705173427395614
- type: mrr_at_100 value: 64.25449940779741
- type: mrr_at_1000 value: 64.27635581092147
- type: mrr_at_20 value: 64.03796029079103
- type: mrr_at_3 value: 61.49691358024688
- type: mrr_at_5 value: 62.73148148148143
- type: nauc_map_at_1000_diff1 value: 43.24282910397747
- type: nauc_map_at_1000_max value: 28.506093180265644
- type: nauc_map_at_1000_std value: -13.040508386155054
- type: nauc_map_at_100_diff1 value: 43.23650442904607
- type: nauc_map_at_100_max value: 28.470565635459156
- type: nauc_map_at_100_std value: -12.988098780714935
- type: nauc_map_at_10_diff1 value: 43.393840733087686
- type: nauc_map_at_10_max value: 26.637302062720153
- type: nauc_map_at_10_std value: -14.47500292113762
- type: nauc_map_at_1_diff1 value: 47.705150227211725
- type: nauc_map_at_1_max value: 15.354189686550129
- type: nauc_map_at_1_std value: -14.559819859039067
- type: nauc_map_at_20_diff1 value: 43.14121075706104
- type: nauc_map_at_20_max value: 27.811170590408395
- type: nauc_map_at_20_std value: -13.459413585283583
- type: nauc_map_at_3_diff1 value: 44.33938667720801
- type: nauc_map_at_3_max value: 21.785619884549398
- type: nauc_map_at_3_std value: -15.569980103071593
- type: nauc_map_at_5_diff1 value: 43.39280905665027
- type: nauc_map_at_5_max value: 25.021492190645017
- type: nauc_map_at_5_std value: -14.48856622187443
- type: nauc_mrr_at_1000_diff1 value: 52.971563939946286
- type: nauc_mrr_at_1000_max value: 38.88019486172324
- type: nauc_mrr_at_1000_std value: -12.412991642381616
- type: nauc_mrr_at_100_diff1 value: 52.978468139876945
- type: nauc_mrr_at_100_max value: 38.89751787948751
- type: nauc_mrr_at_100_std value: -12.3677876252269
- type: nauc_mrr_at_10_diff1 value: 52.78507148048174
- type: nauc_mrr_at_10_max value: 38.55079809310022
- type: nauc_mrr_at_10_std value: -12.944127025078755
- type: nauc_mrr_at_1_diff1 value: 55.52626805861546
- type: nauc_mrr_at_1_max value: 40.49306809164979
- type: nauc_mrr_at_1_std value: -12.886607701317681
- type: nauc_mrr_at_20_diff1 value: 52.9592152665678
- type: nauc_mrr_at_20_max value: 38.88514014589964
- type: nauc_mrr_at_20_std value: -12.434464359819444
- type: nauc_mrr_at_3_diff1 value: 52.73696844091174
- type: nauc_mrr_at_3_max value: 38.61018727252859
- type: nauc_mrr_at_3_std value: -13.123989867364166
- type: nauc_mrr_at_5_diff1 value: 53.037110010188
- type: nauc_mrr_at_5_max value: 38.44770729849151
- type: nauc_mrr_at_5_std value: -13.49318771828972
- type: nauc_ndcg_at_1000_diff1 value: 44.73813840091289
- type: nauc_ndcg_at_1000_max value: 33.70113904685389
- type: nauc_ndcg_at_1000_std value: -10.328687058192742
- type: nauc_ndcg_at_100_diff1 value: 44.595174119928835
- type: nauc_ndcg_at_100_max value: 33.4788285112467
- type: nauc_ndcg_at_100_std value: -8.695355259716946
- type: nauc_ndcg_at_10_diff1 value: 44.39837225263
- type: nauc_ndcg_at_10_max value: 29.188289725593393
- type: nauc_ndcg_at_10_std value: -13.67608323673103
- type: nauc_ndcg_at_1_diff1 value: 55.52626805861546
- type: nauc_ndcg_at_1_max value: 40.49306809164979
- type: nauc_ndcg_at_1_std value: -12.886607701317681
- type: nauc_ndcg_at_20_diff1 value: 44.24661739902305
- type: nauc_ndcg_at_20_max value: 31.667868318249965
- type: nauc_ndcg_at_20_std value: -10.65470780066342
- type: nauc_ndcg_at_3_diff1 value: 43.39857166975522
- type: nauc_ndcg_at_3_max value: 31.764668313577495
- type: nauc_ndcg_at_3_std value: -14.494866954678152
- type: nauc_ndcg_at_5_diff1 value: 43.16976647347281
- type: nauc_ndcg_at_5_max value: 29.878329062643143
- type: nauc_ndcg_at_5_std value: -13.987689089179739
- type: nauc_precision_at_1000_diff1 value: -9.807973252625484
- type: nauc_precision_at_1000_max value: 26.6279603849494
- type: nauc_precision_at_1000_std value: 7.113187103520632
- type: nauc_precision_at_100_diff1 value: -4.777149603323976
- type: nauc_precision_at_100_max value: 31.03410463692187
- type: nauc_precision_at_100_std value: 10.463144150275435
- type: nauc_precision_at_10_diff1 value: 8.691528703215962
- type: nauc_precision_at_10_max value: 33.329579434123374
- type: nauc_precision_at_10_std value: -0.8002015226329403
- type: nauc_precision_at_1_diff1 value: 55.52626805861546
- type: nauc_precision_at_1_max value: 40.49306809164979
- type: nauc_precision_at_1_std value: -12.886607701317681
- type: nauc_precision_at_20_diff1 value: 3.4564653474184284
- type: nauc_precision_at_20_max value: 34.401070158471136
- type: nauc_precision_at_20_std value: 5.813431200164549
- type: nauc_precision_at_3_diff1 value: 22.463219705462187
- type: nauc_precision_at_3_max value: 34.77413976546924
- type: nauc_precision_at_3_std value: -7.083890789741479
- type: nauc_precision_at_5_diff1 value: 14.011006004883154
- type: nauc_precision_at_5_max value: 35.73655466853702
- type: nauc_precision_at_5_std value: -2.8395172077771598
- type: nauc_recall_at_1000_diff1 value: 16.478046357391555
- type: nauc_recall_at_1000_max value: 43.231704288282344
- type: nauc_recall_at_1000_std value: 38.430684937573645
- type: nauc_recall_at_100_diff1 value: 30.764718344602436
- type: nauc_recall_at_100_max value: 31.769050487166655
- type: nauc_recall_at_100_std value: 23.48468311677149
- type: nauc_recall_at_10_diff1 value: 34.47339565324045
- type: nauc_recall_at_10_max value: 19.054212335800454
- type: nauc_recall_at_10_std value: -11.039734015330437
- type: nauc_recall_at_1_diff1 value: 47.705150227211725
- type: nauc_recall_at_1_max value: 15.354189686550129
- type: nauc_recall_at_1_std value: -14.559819859039067
- type: nauc_recall_at_20_diff1 value: 32.1011474016873
- type: nauc_recall_at_20_max value: 25.546372988304423
- type: nauc_recall_at_20_std value: -0.007233471152482897
- type: nauc_recall_at_3_diff1 value: 37.5708138019065
- type: nauc_recall_at_3_max value: 16.66410785756736
- type: nauc_recall_at_3_std value: -15.404817020108966
- type: nauc_recall_at_5_diff1 value: 35.714519648479595
- type: nauc_recall_at_5_max value: 19.02075233009296
- type: nauc_recall_at_5_std value: -13.180963359760725
- type: ndcg_at_1 value: 55.556000000000004
- type: ndcg_at_10 value: 56.056
- type: ndcg_at_100 value: 62.44
- type: ndcg_at_1000 value: 64.263
- type: ndcg_at_20 value: 58.638999999999996
- type: ndcg_at_3 value: 51.722
- type: ndcg_at_5 value: 52.701
- type: precision_at_1 value: 55.556000000000004
- type: precision_at_10 value: 15.679000000000002
- type: precision_at_100 value: 2.252
- type: precision_at_1000 value: 0.257
- type: precision_at_20 value: 9.02
- type: precision_at_3 value: 34.619
- type: precision_at_5 value: 25.093
- type: recall_at_1 value: 28.666000000000004
- type: recall_at_10 value: 63.717999999999996
- type: recall_at_100 value: 86.938
- type: recall_at_1000 value: 97.603
- type: recall_at_20 value: 71.649
- type: recall_at_3 value: 46.663
- type: recall_at_5 value: 53.313 task: type: Retrieval
- dataset:
config: default
name: MTEB HotpotQA
revision: ab518f4d6fcca38d87c25209f94beba119d02014
split: test
type: mteb/hotpotqa
metrics:
- type: main_score value: 71.74199999999999
- type: map_at_1 value: 41.729
- type: map_at_10 value: 63.168
- type: map_at_100 value: 64.132
- type: map_at_1000 value: 64.199
- type: map_at_20 value: 63.736000000000004
- type: map_at_3 value: 59.826
- type: map_at_5 value: 61.882000000000005
- type: mrr_at_1 value: 83.45712356515868
- type: mrr_at_10 value: 87.850342432719
- type: mrr_at_100 value: 88.0016320691113
- type: mrr_at_1000 value: 88.00576596968136
- type: mrr_at_20 value: 87.94463253190389
- type: mrr_at_3 value: 87.13706954760278
- type: mrr_at_5 value: 87.59419311276136
- type: nauc_map_at_1000_diff1 value: 13.635446621095054
- type: nauc_map_at_1000_max value: 18.670632529445633
- type: nauc_map_at_1000_std value: 10.444842636150575
- type: nauc_map_at_100_diff1 value: 13.599262398010783
- type: nauc_map_at_100_max value: 18.636389405484806
- type: nauc_map_at_100_std value: 10.460027483576043
- type: nauc_map_at_10_diff1 value: 13.235053919323942
- type: nauc_map_at_10_max value: 18.252140477080047
- type: nauc_map_at_10_std value: 9.9075337042203
- type: nauc_map_at_1_diff1 value: 76.51940497836482
- type: nauc_map_at_1_max value: 51.251419487235474
- type: nauc_map_at_1_std value: 0.16714896857146574
- type: nauc_map_at_20_diff1 value: 13.4178245722222
- type: nauc_map_at_20_max value: 18.40988771210718
- type: nauc_map_at_20_std value: 10.216685163366282
- type: nauc_map_at_3_diff1 value: 13.38370761663418
- type: nauc_map_at_3_max value: 17.760962555456537
- type: nauc_map_at_3_std value: 7.15741965624388
- type: nauc_map_at_5_diff1 value: 13.138133309724855
- type: nauc_map_at_5_max value: 17.871761295251044
- type: nauc_map_at_5_std value: 8.475147426940074
- type: nauc_mrr_at_1000_diff1 value: 75.82650818891959
- type: nauc_mrr_at_1000_max value: 53.6736100668434
- type: nauc_mrr_at_1000_std value: 1.8025016349213916
- type: nauc_mrr_at_100_diff1 value: 75.82530574210111
- type: nauc_mrr_at_100_max value: 53.68067545829002
- type: nauc_mrr_at_100_std value: 1.8147470536495791
- type: nauc_mrr_at_10_diff1 value: 75.8330135686799
- type: nauc_mrr_at_10_max value: 53.78626885349077
- type: nauc_mrr_at_10_std value: 1.7975782717226636
- type: nauc_mrr_at_1_diff1 value: 76.51940497836482
- type: nauc_mrr_at_1_max value: 51.251419487235474
- type: nauc_mrr_at_1_std value: 0.16714896857146574
- type: nauc_mrr_at_20_diff1 value: 75.82783382464166
- type: nauc_mrr_at_20_max value: 53.68364567043885
- type: nauc_mrr_at_20_std value: 1.742037904463963
- type: nauc_mrr_at_3_diff1 value: 75.6944609768663
- type: nauc_mrr_at_3_max value: 53.803941340341666
- type: nauc_mrr_at_3_std value: 1.1849945458077804
- type: nauc_mrr_at_5_diff1 value: 75.73006960604903
- type: nauc_mrr_at_5_max value: 53.62223096420106
- type: nauc_mrr_at_5_std value: 1.6144067563410909
- type: nauc_ndcg_at_1000_diff1 value: 21.58025241642726
- type: nauc_ndcg_at_1000_max value: 24.675747527001153
- type: nauc_ndcg_at_1000_std value: 13.075943547492718
- type: nauc_ndcg_at_100_diff1 value: 20.30260137544846
- type: nauc_ndcg_at_100_max value: 23.757528813872018
- type: nauc_ndcg_at_100_std value: 13.648994687574062
- type: nauc_ndcg_at_10_diff1 value: 18.995052360997818
- type: nauc_ndcg_at_10_max value: 22.254260808196037
- type: nauc_ndcg_at_10_std value: 11.27212390633054
- type: nauc_ndcg_at_1_diff1 value: 76.51940497836482
- type: nauc_ndcg_at_1_max value: 51.251419487235474
- type: nauc_ndcg_at_1_std value: 0.16714896857146574
- type: nauc_ndcg_at_20_diff1 value: 19.333742380695757
- type: nauc_ndcg_at_20_max value: 22.527779834633364
- type: nauc_ndcg_at_20_std value: 12.161009000707917
- type: nauc_ndcg_at_3_diff1 value: 20.013329040965534
- type: nauc_ndcg_at_3_max value: 21.99692460311921
- type: nauc_ndcg_at_3_std value: 6.8076290638386165
- type: nauc_ndcg_at_5_diff1 value: 19.08226315942471
- type: nauc_ndcg_at_5_max value: 21.71185964294168
- type: nauc_ndcg_at_5_std value: 8.671911269518214
- type: nauc_precision_at_1000_diff1 value: 2.4462475489446764
- type: nauc_precision_at_1000_max value: 29.145662064268578
- type: nauc_precision_at_1000_std value: 49.20704909525856
- type: nauc_precision_at_100_diff1 value: 0.11271196725540299
- type: nauc_precision_at_100_max value: 17.37584606388067
- type: nauc_precision_at_100_std value: 34.66099346244071
- type: nauc_precision_at_10_diff1 value: 2.9923183951227825
- type: nauc_precision_at_10_max value: 14.261884731124264
- type: nauc_precision_at_10_std value: 18.084188795498378
- type: nauc_precision_at_1_diff1 value: 76.51940497836482
- type: nauc_precision_at_1_max value: 51.251419487235474
- type: nauc_precision_at_1_std value: 0.16714896857146574
- type: nauc_precision_at_20_diff1 value: 1.9180293008303761
- type: nauc_precision_at_20_max value: 13.832269193468512
- type: nauc_precision_at_20_std value: 21.65284406055607
- type: nauc_precision_at_3_diff1 value: 7.226609484731811
- type: nauc_precision_at_3_max value: 15.162908526977272
- type: nauc_precision_at_3_std value: 8.451859972962776
- type: nauc_precision_at_5_diff1 value: 4.705236845538159
- type: nauc_precision_at_5_max value: 14.022910843582666
- type: nauc_precision_at_5_std value: 11.777269322821605
- type: nauc_recall_at_1000_diff1 value: 2.446247548945172
- type: nauc_recall_at_1000_max value: 29.14566206426889
- type: nauc_recall_at_1000_std value: 49.20704909525879
- type: nauc_recall_at_100_diff1 value: 0.1127119672553316
- type: nauc_recall_at_100_max value: 17.37584606388062
- type: nauc_recall_at_100_std value: 34.660993462440686
- type: nauc_recall_at_10_diff1 value: 2.9923183951227927
- type: nauc_recall_at_10_max value: 14.261884731124299
- type: nauc_recall_at_10_std value: 18.08418879549837
- type: nauc_recall_at_1_diff1 value: 76.51940497836482
- type: nauc_recall_at_1_max value: 51.251419487235474
- type: nauc_recall_at_1_std value: 0.16714896857146574
- type: nauc_recall_at_20_diff1 value: 1.918029300830432
- type: nauc_recall_at_20_max value: 13.832269193468566
- type: nauc_recall_at_20_std value: 21.65284406055605
- type: nauc_recall_at_3_diff1 value: 7.226609484731802
- type: nauc_recall_at_3_max value: 15.162908526977182
- type: nauc_recall_at_3_std value: 8.451859972962634
- type: nauc_recall_at_5_diff1 value: 4.705236845538197
- type: nauc_recall_at_5_max value: 14.02291084358265
- type: nauc_recall_at_5_std value: 11.777269322821638
- type: ndcg_at_1 value: 83.45700000000001
- type: ndcg_at_10 value: 71.74199999999999
- type: ndcg_at_100 value: 75.008
- type: ndcg_at_1000 value: 76.242
- type: ndcg_at_20 value: 73.114
- type: ndcg_at_3 value: 67.128
- type: ndcg_at_5 value: 69.645
- type: precision_at_1 value: 83.45700000000001
- type: precision_at_10 value: 14.747
- type: precision_at_100 value: 1.73
- type: precision_at_1000 value: 0.189
- type: precision_at_20 value: 7.8149999999999995
- type: precision_at_3 value: 42.323
- type: precision_at_5 value: 27.381
- type: recall_at_1 value: 41.729
- type: recall_at_10 value: 73.734
- type: recall_at_100 value: 86.502
- type: recall_at_1000 value: 94.60499999999999
- type: recall_at_20 value: 78.14999999999999
- type: recall_at_3 value: 63.483999999999995
- type: recall_at_5 value: 68.45400000000001 task: type: Retrieval
- dataset:
config: default
name: MTEB ImdbClassification
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
split: test
type: mteb/imdb
metrics:
- type: accuracy value: 96.4904
- type: ap value: 94.85481918794709
- type: ap_weighted value: 94.85481918794709
- type: f1 value: 96.4898592305707
- type: f1_weighted value: 96.4898592305707
- type: main_score value: 96.4904 task: type: Classification
- dataset:
config: default
name: MTEB MSMARCO
revision: c5a29a104738b98a9e76336939199e264163d4a0
split: dev
type: mteb/msmarco
metrics:
- type: main_score value: 43.692
- type: map_at_1 value: 23.751
- type: map_at_10 value: 36.553999999999995
- type: map_at_100 value: 37.721
- type: map_at_1000 value: 37.763999999999996
- type: map_at_20 value: 37.289
- type: map_at_3 value: 32.643
- type: map_at_5 value: 34.851
- type: mrr_at_1 value: 24.455587392550143
- type: mrr_at_10 value: 37.18388706963206
- type: mrr_at_100 value: 38.28330737932916
- type: mrr_at_1000 value: 38.32054399710817
- type: mrr_at_20 value: 37.8818001216278
- type: mrr_at_3 value: 33.35721107927405
- type: mrr_at_5 value: 35.52483285577843
- type: nauc_map_at_1000_diff1 value: 36.3576177260684
- type: nauc_map_at_1000_max value: 7.854511605962703
- type: nauc_map_at_1000_std value: -17.701121059746878
- type: nauc_map_at_100_diff1 value: 36.356075649230505
- type: nauc_map_at_100_max value: 7.862168042999533
- type: nauc_map_at_100_std value: -17.670102459097233
- type: nauc_map_at_10_diff1 value: 36.22122978875574
- type: nauc_map_at_10_max value: 7.80848606967416
- type: nauc_map_at_10_std value: -18.3265151386167
- type: nauc_map_at_1_diff1 value: 39.28605466408357
- type: nauc_map_at_1_max value: 6.20202977590459
- type: nauc_map_at_1_std value: -15.734334090045026
- type: nauc_map_at_20_diff1 value: 36.33637880909657
- type: nauc_map_at_20_max value: 7.843437969476022
- type: nauc_map_at_20_std value: -17.917533363025996
- type: nauc_map_at_3_diff1 value: 36.24864976076741
- type: nauc_map_at_3_max value: 7.420345251835957
- type: nauc_map_at_3_std value: -18.71678497722944
- type: nauc_map_at_5_diff1 value: 36.0789619291824
- type: nauc_map_at_5_max value: 7.7314285669514495
- type: nauc_map_at_5_std value: -18.748688764538706
- type: nauc_mrr_at_1000_diff1 value: 36.23912675623378
- type: nauc_mrr_at_1000_max value: 7.690553436255147
- type: nauc_mrr_at_1000_std value: -17.609526070212304
- type: nauc_mrr_at_100_diff1 value: 36.23782651189002
- type: nauc_mrr_at_100_max value: 7.70075095171647
- type: nauc_mrr_at_100_std value: -17.575714144960184
- type: nauc_mrr_at_10_diff1 value: 36.125229472534215
- type: nauc_mrr_at_10_max value: 7.635472248755658
- type: nauc_mrr_at_10_std value: -18.208166616511086
- type: nauc_mrr_at_1_diff1 value: 39.20986875554532
- type: nauc_mrr_at_1_max value: 6.062668487561363
- type: nauc_mrr_at_1_std value: -16.04130340817602
- type: nauc_mrr_at_20_diff1 value: 36.21207088739667
- type: nauc_mrr_at_20_max value: 7.699610250145951
- type: nauc_mrr_at_20_std value: -17.778245221724028
- type: nauc_mrr_at_3_diff1 value: 36.03957583885305
- type: nauc_mrr_at_3_max value: 7.225515576504581
- type: nauc_mrr_at_3_std value: -18.74478742943741
- type: nauc_mrr_at_5_diff1 value: 35.969152496648974
- type: nauc_mrr_at_5_max value: 7.584059789018233
- type: nauc_mrr_at_5_std value: -18.569374723129332
- type: nauc_ndcg_at_1000_diff1 value: 35.894655529841806
- type: nauc_ndcg_at_1000_max value: 8.579327424366236
- type: nauc_ndcg_at_1000_std value: -16.359677367747896
- type: nauc_ndcg_at_100_diff1 value: 35.89861902483983
- type: nauc_ndcg_at_100_max value: 8.830873623962242
- type: nauc_ndcg_at_100_std value: -15.173125564722978
- type: nauc_ndcg_at_10_diff1 value: 35.36499811105169
- type: nauc_ndcg_at_10_max value: 8.449267180956992
- type: nauc_ndcg_at_10_std value: -18.41978802362402
- type: nauc_ndcg_at_1_diff1 value: 39.15422481210622
- type: nauc_ndcg_at_1_max value: 6.055515791928331
- type: nauc_ndcg_at_1_std value: -16.042779610876252
- type: nauc_ndcg_at_20_diff1 value: 35.73402868264468
- type: nauc_ndcg_at_20_max value: 8.695705518210847
- type: nauc_ndcg_at_20_std value: -16.7735829470466
- type: nauc_ndcg_at_3_diff1 value: 35.31358242856231
- type: nauc_ndcg_at_3_max value: 7.645692789058997
- type: nauc_ndcg_at_3_std value: -19.460003734786874
- type: nauc_ndcg_at_5_diff1 value: 35.05216588927143
- type: nauc_ndcg_at_5_max value: 8.216690520604715
- type: nauc_ndcg_at_5_std value: -19.3982054492159
- type: nauc_precision_at_1000_diff1 value: -4.440002625111349
- type: nauc_precision_at_1000_max value: 7.886988951901723
- type: nauc_precision_at_1000_std value: 9.88111187048247
- type: nauc_precision_at_100_diff1 value: 15.728286119463325
- type: nauc_precision_at_100_max value: 13.218650824470654
- type: nauc_precision_at_100_std value: 16.113245895522553
- type: nauc_precision_at_10_diff1 value: 29.51218489610567
- type: nauc_precision_at_10_max value: 10.197432401942912
- type: nauc_precision_at_10_std value: -16.950603431359493
- type: nauc_precision_at_1_diff1 value: 39.15422481210622
- type: nauc_precision_at_1_max value: 6.055515791928331
- type: nauc_precision_at_1_std value: -16.042779610876252
- type: nauc_precision_at_20_diff1 value: 27.825993070397338
- type: nauc_precision_at_20_max value: 11.437632287846007
- type: nauc_precision_at_20_std value: -7.450353566405601
- type: nauc_precision_at_3_diff1 value: 32.14135556796588
- type: nauc_precision_at_3_max value: 7.989252443574163
- type: nauc_precision_at_3_std value: -21.566254595671055
- type: nauc_precision_at_5_diff1 value: 30.68778685307082
- type: nauc_precision_at_5_max value: 9.332160758499892
- type: nauc_precision_at_5_std value: -20.928554713448914
- type: nauc_recall_at_1000_diff1 value: 25.00810478716878
- type: nauc_recall_at_1000_max value: 46.518165765201644
- type: nauc_recall_at_1000_std value: 61.4734635576085
- type: nauc_recall_at_100_diff1 value: 33.895581318261726
- type: nauc_recall_at_100_max value: 20.10706035872801
- type: nauc_recall_at_100_std value: 24.204226584457047
- type: nauc_recall_at_10_diff1 value: 32.363127359576296
- type: nauc_recall_at_10_max value: 10.729923804989545
- type: nauc_recall_at_10_std value: -18.1335370184202
- type: nauc_recall_at_1_diff1 value: 39.28605466408357
- type: nauc_recall_at_1_max value: 6.20202977590459
- type: nauc_recall_at_1_std value: -15.734334090045026
- type: nauc_recall_at_20_diff1 value: 33.47804003169795
- type: nauc_recall_at_20_max value: 12.781494765263382
- type: nauc_recall_at_20_std value: -9.263970132202658
- type: nauc_recall_at_3_diff1 value: 32.71001429428999
- type: nauc_recall_at_3_max value: 8.353439197382693
- type: nauc_recall_at_3_std value: -21.235097744366954
- type: nauc_recall_at_5_diff1 value: 31.87451464963415
- type: nauc_recall_at_5_max value: 9.635051450907305
- type: nauc_recall_at_5_std value: -21.113235357132794
- type: ndcg_at_1 value: 24.47
- type: ndcg_at_10 value: 43.692
- type: ndcg_at_100 value: 49.211
- type: ndcg_at_1000 value: 50.244
- type: ndcg_at_20 value: 46.278000000000006
- type: ndcg_at_3 value: 35.719
- type: ndcg_at_5 value: 39.652
- type: precision_at_1 value: 24.47
- type: precision_at_10 value: 6.857
- type: precision_at_100 value: 0.9610000000000001
- type: precision_at_1000 value: 0.105
- type: precision_at_20 value: 3.968
- type: precision_at_3 value: 15.181000000000001
- type: precision_at_5 value: 11.117
- type: recall_at_1 value: 23.751
- type: recall_at_10 value: 65.64
- type: recall_at_100 value: 90.967
- type: recall_at_1000 value: 98.738
- type: recall_at_20 value: 75.639
- type: recall_at_3 value: 43.927
- type: recall_at_5 value: 53.366 task: type: Retrieval
- dataset:
config: en
name: MTEB MTOPDomainClassification (en)
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
split: test
type: mteb/mtop_domain
metrics:
- type: accuracy value: 98.82580939352485
- type: f1 value: 98.75201754333801
- type: f1_weighted value: 98.82795205108245
- type: main_score value: 98.82580939352485 task: type: Classification
- dataset:
config: en
name: MTEB MTOPIntentClassification (en)
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
split: test
type: mteb/mtop_intent
metrics:
- type: accuracy value: 92.29822161422709
- type: f1 value: 77.75210224871594
- type: f1_weighted value: 93.58661422540348
- type: main_score value: 92.29822161422709 task: type: Classification
- dataset:
config: en
name: MTEB MassiveIntentClassification (en)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
metrics:
- type: accuracy value: 85.17484868863484
- type: f1 value: 81.94484244487094
- type: f1_weighted value: 85.21022593423332
- type: main_score value: 85.17484868863484 task: type: Classification
- dataset:
config: en
name: MTEB MassiveScenarioClassification (en)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
metrics:
- type: accuracy value: 89.61667787491594
- type: f1 value: 89.02701927621264
- type: f1_weighted value: 89.56306982022801
- type: main_score value: 89.61667787491594 task: type: Classification
- dataset:
config: default
name: MTEB MedrxivClusteringP2P
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
split: test
type: mteb/medrxiv-clustering-p2p
metrics:
- type: main_score value: 46.318282423948574
- type: v_measure value: 46.318282423948574
- type: v_measure_std value: 0.9729055662461538 task: type: Clustering
- dataset:
config: default
name: MTEB MedrxivClusteringS2S
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
split: test
type: mteb/medrxiv-clustering-s2s
metrics:
- type: main_score value: 44.29033625273981
- type: v_measure value: 44.29033625273981
- type: v_measure_std value: 1.0596383629128594 task: type: Clustering
- dataset:
config: default
name: MTEB MindSmallReranking
revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
split: test
type: mteb/mind_small
metrics:
- type: main_score value: 33.0526129239962
- type: map value: 33.0526129239962
- type: mrr value: 34.29260046890935
- type: nAUC_map_diff1 value: 12.579738077238032
- type: nAUC_map_max value: -20.936629344962
- type: nAUC_map_std value: -1.6096805784945216
- type: nAUC_mrr_diff1 value: 11.597584463580807
- type: nAUC_mrr_max value: -15.723702838537504
- type: nAUC_mrr_std value: 0.2719172965777737 task: type: Reranking
- dataset:
config: default
name: MTEB NFCorpus
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
split: test
type: mteb/nfcorpus
metrics:
- type: main_score value: 41.486000000000004
- type: map_at_1 value: 6.866
- type: map_at_10 value: 15.895999999999999
- type: map_at_100 value: 21.093
- type: map_at_1000 value: 23.067
- type: map_at_20 value: 18.125
- type: map_at_3 value: 11.421000000000001
- type: map_at_5 value: 13.415
- type: mrr_at_1 value: 52.63157894736842
- type: mrr_at_10 value: 61.486805248415166
- type: mrr_at_100 value: 62.08211009182091
- type: mrr_at_1000 value: 62.10828701365016
- type: mrr_at_20 value: 61.904411187915784
- type: mrr_at_3 value: 59.90712074303407
- type: mrr_at_5 value: 60.91331269349847
- type: nauc_map_at_1000_diff1 value: 25.484625278529403
- type: nauc_map_at_1000_max value: 31.206600396418853
- type: nauc_map_at_1000_std value: 15.569448072357156
- type: nauc_map_at_100_diff1 value: 27.636750226316764
- type: nauc_map_at_100_max value: 29.66992681250722
- type: nauc_map_at_100_std value: 10.570600484002671
- type: nauc_map_at_10_diff1 value: 32.76642525548697
- type: nauc_map_at_10_max value: 21.459225397237663
- type: nauc_map_at_10_std value: -3.546494734209264
- type: nauc_map_at_1_diff1 value: 48.8002894871328
- type: nauc_map_at_1_max value: 5.7236722609868815
- type: nauc_map_at_1_std value: -13.283554044471352
- type: nauc_map_at_20_diff1 value: 30.57169701502308
- type: nauc_map_at_20_max value: 25.79666139518404
- type: nauc_map_at_20_std value: 1.781732492989651
- type: nauc_map_at_3_diff1 value: 40.076315947201095
- type: nauc_map_at_3_max value: 12.862524429140054
- type: nauc_map_at_3_std value: -9.188349777126817
- type: nauc_map_at_5_diff1 value: 36.9918718052938
- type: nauc_map_at_5_max value: 16.74234374361876
- type: nauc_map_at_5_std value: -7.818523349307494
- type: nauc_mrr_at_1000_diff1 value: 26.88183002609805
- type: nauc_mrr_at_1000_max value: 47.10209348428658
- type: nauc_mrr_at_1000_std value: 32.067825924992924
- type: nauc_mrr_at_100_diff1 value: 26.871482491566745
- type: nauc_mrr_at_100_max value: 47.11303868498556
- type: nauc_mrr_at_100_std value: 32.08961428818868
- type: nauc_mrr_at_10_diff1 value: 26.6356914977722
- type: nauc_mrr_at_10_max value: 47.091624558810366
- type: nauc_mrr_at_10_std value: 31.942424120660164
- type: nauc_mrr_at_1_diff1 value: 28.19774198483673
- type: nauc_mrr_at_1_max value: 41.44380927834253
- type: nauc_mrr_at_1_std value: 25.18222691885917
- type: nauc_mrr_at_20_diff1 value: 26.86487347109452
- type: nauc_mrr_at_20_max value: 47.1987778214726
- type: nauc_mrr_at_20_std value: 32.143517921610034
- type: nauc_mrr_at_3_diff1 value: 27.34340373236422
- type: nauc_mrr_at_3_max value: 46.358726506276646
- type: nauc_mrr_at_3_std value: 31.74924155572593
- type: nauc_mrr_at_5_diff1 value: 27.209667205060672
- type: nauc_mrr_at_5_max value: 46.79883369072009
- type: nauc_mrr_at_5_std value: 31.655605306670758
- type: nauc_ndcg_at_1000_diff1 value: 18.940195769769687
- type: nauc_ndcg_at_1000_max value: 46.48551313937331
- type: nauc_ndcg_at_1000_std value: 33.64819502089232
- type: nauc_ndcg_at_100_diff1 value: 19.50885253809146
- type: nauc_ndcg_at_100_max value: 40.53174462354878
- type: nauc_ndcg_at_100_std value: 28.516152877751118
- type: nauc_ndcg_at_10_diff1 value: 16.01699218096564
- type: nauc_ndcg_at_10_max value: 41.17322878314514
- type: nauc_ndcg_at_10_std value: 29.002233224832196
- type: nauc_ndcg_at_1_diff1 value: 27.443547710102205
- type: nauc_ndcg_at_1_max value: 40.66529763309582
- type: nauc_ndcg_at_1_std value: 24.15016766225869
- type: nauc_ndcg_at_20_diff1 value: 17.541197675685062
- type: nauc_ndcg_at_20_max value: 40.53231266973844
- type: nauc_ndcg_at_20_std value: 29.54096347876548
- type: nauc_ndcg_at_3_diff1 value: 18.649628357473716
- type: nauc_ndcg_at_3_max value: 41.18603570171764
- type: nauc_ndcg_at_3_std value: 27.125524188420396
- type: nauc_ndcg_at_5_diff1 value: 17.519593751448483
- type: nauc_ndcg_at_5_max value: 42.715997890377345
- type: nauc_ndcg_at_5_std value: 27.902627839899868
- type: nauc_precision_at_1000_diff1 value: -15.528797630565155
- type: nauc_precision_at_1000_max value: 13.741640921778671
- type: nauc_precision_at_1000_std value: 44.50896053788372
- type: nauc_precision_at_100_diff1 value: -14.491464489721887
- type: nauc_precision_at_100_max value: 23.136434418999457
- type: nauc_precision_at_100_std value: 49.73145147863128
- type: nauc_precision_at_10_diff1 value: -4.829188942994277
- type: nauc_precision_at_10_max value: 40.327612559528866
- type: nauc_precision_at_10_std value: 39.34919529635044
- type: nauc_precision_at_1_diff1 value: 28.19774198483673
- type: nauc_precision_at_1_max value: 41.44380927834253
- type: nauc_precision_at_1_std value: 25.18222691885917
- type: nauc_precision_at_20_diff1 value: -7.210726293112847
- type: nauc_precision_at_20_max value: 37.195679576636984
- type: nauc_precision_at_20_std value: 45.4597096418357
- type: nauc_precision_at_3_diff1 value: 7.578219537774854
- type: nauc_precision_at_3_max value: 41.59775233475654
- type: nauc_precision_at_3_std value: 30.764584790895118
- type: nauc_precision_at_5_diff1 value: 1.655451789039598
- type: nauc_precision_at_5_max value: 43.435739407610455
- type: nauc_precision_at_5_std value: 33.42552263325999
- type: nauc_recall_at_1000_diff1 value: 5.030705700690516
- type: nauc_recall_at_1000_max value: 19.108072570815583
- type: nauc_recall_at_1000_std value: 14.697734974217308
- type: nauc_recall_at_100_diff1 value: 14.746540318132407
- type: nauc_recall_at_100_max value: 21.798705033854795
- type: nauc_recall_at_100_std value: 11.416195108842587
- type: nauc_recall_at_10_diff1 value: 25.548642427860486
- type: nauc_recall_at_10_max value: 18.711677681987474
- type: nauc_recall_at_10_std value: -5.988904818971677
- type: nauc_recall_at_1_diff1 value: 48.8002894871328
- type: nauc_recall_at_1_max value: 5.7236722609868815
- type: nauc_recall_at_1_std value: -13.283554044471352
- type: nauc_recall_at_20_diff1 value: 23.39140739154809
- type: nauc_recall_at_20_max value: 19.351150636155474
- type: nauc_recall_at_20_std value: -2.757280266915132
- type: nauc_recall_at_3_diff1 value: 38.17453576012812
- type: nauc_recall_at_3_max value: 13.47003839643972
- type: nauc_recall_at_3_std value: -8.75780163862688
- type: nauc_recall_at_5_diff1 value: 33.02812855226899
- type: nauc_recall_at_5_max value: 15.477626408978477
- type: nauc_recall_at_5_std value: -9.072206441070708
- type: ndcg_at_1 value: 50.773999999999994
- type: ndcg_at_10 value: 41.486000000000004
- type: ndcg_at_100 value: 39.051
- type: ndcg_at_1000 value: 48.106
- type: ndcg_at_20 value: 39.432
- type: ndcg_at_3 value: 47.428
- type: ndcg_at_5 value: 45.227000000000004
- type: precision_at_1 value: 52.632
- type: precision_at_10 value: 31.146
- type: precision_at_100 value: 10.328
- type: precision_at_1000 value: 2.432
- type: precision_at_20 value: 23.793
- type: precision_at_3 value: 45.201
- type: precision_at_5 value: 39.876
- type: recall_at_1 value: 6.866
- type: recall_at_10 value: 20.447000000000003
- type: recall_at_100 value: 40.607
- type: recall_at_1000 value: 73.411
- type: recall_at_20 value: 26.082
- type: recall_at_3 value: 12.484
- type: recall_at_5 value: 15.847 task: type: Retrieval
- dataset:
config: default
name: MTEB NQ
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
split: test
type: mteb/nq
metrics:
- type: main_score value: 69.072
- type: map_at_1 value: 45.483000000000004
- type: map_at_10 value: 62.050000000000004
- type: map_at_100 value: 62.693
- type: map_at_1000 value: 62.702999999999996
- type: map_at_20 value: 62.498
- type: map_at_3 value: 58.285
- type: map_at_5 value: 60.711000000000006
- type: mrr_at_1 value: 50.840092699884124
- type: mrr_at_10 value: 64.54635224116673
- type: mrr_at_100 value: 64.9526548702289
- type: mrr_at_1000 value: 64.95908460752281
- type: mrr_at_20 value: 64.82949565799959
- type: mrr_at_3 value: 61.89165701042856
- type: mrr_at_5 value: 63.632676709154026
- type: nauc_map_at_1000_diff1 value: 43.187285304185224
- type: nauc_map_at_1000_max value: 32.39921659632756
- type: nauc_map_at_1000_std value: -5.780901333066553
- type: nauc_map_at_100_diff1 value: 43.184487221204456
- type: nauc_map_at_100_max value: 32.41176116347982
- type: nauc_map_at_100_std value: -5.76422606662383
- type: nauc_map_at_10_diff1 value: 42.967066814031746
- type: nauc_map_at_10_max value: 32.489617364418514
- type: nauc_map_at_10_std value: -6.029045531102664
- type: nauc_map_at_1_diff1 value: 46.16376563218624
- type: nauc_map_at_1_max value: 26.342624776802232
- type: nauc_map_at_1_std value: -7.142171388751972
- type: nauc_map_at_20_diff1 value: 43.15894358608328
- type: nauc_map_at_20_max value: 32.46492198956245
- type: nauc_map_at_20_std value: -5.788373305449195
- type: nauc_map_at_3_diff1 value: 43.231752344608545
- type: nauc_map_at_3_max value: 31.68003009949564
- type: nauc_map_at_3_std value: -8.015235132765458
- type: nauc_map_at_5_diff1 value: 42.86197608819917
- type: nauc_map_at_5_max value: 32.363857571094485
- type: nauc_map_at_5_std value: -6.780487416387977
- type: nauc_mrr_at_1000_diff1 value: 43.40542912045782
- type: nauc_mrr_at_1000_max value: 32.8461770324533
- type: nauc_mrr_at_1000_std value: -3.6505425530008204
- type: nauc_mrr_at_100_diff1 value: 43.40233508014468
- type: nauc_mrr_at_100_max value: 32.85598538385942
- type: nauc_mrr_at_100_std value: -3.637477352635459
- type: nauc_mrr_at_10_diff1 value: 43.260179162806054
- type: nauc_mrr_at_10_max value: 32.942643527040474
- type: nauc_mrr_at_10_std value: -3.712052825320437
- type: nauc_mrr_at_1_diff1 value: 46.354919460881206
- type: nauc_mrr_at_1_max value: 29.1760258591106
- type: nauc_mrr_at_1_std value: -4.107225031227406
- type: nauc_mrr_at_20_diff1 value: 43.37092385434311
- type: nauc_mrr_at_20_max value: 32.93390254712846
- type: nauc_mrr_at_20_std value: -3.5719056112132006
- type: nauc_mrr_at_3_diff1 value: 43.1744474040527
- type: nauc_mrr_at_3_max value: 32.741290559777994
- type: nauc_mrr_at_3_std value: -4.72677925120697
- type: nauc_mrr_at_5_diff1 value: 43.108396819975674
- type: nauc_mrr_at_5_max value: 32.970519514893084
- type: nauc_mrr_at_5_std value: -4.090906158975974
- type: nauc_ndcg_at_1000_diff1 value: 42.786664193638714
- type: nauc_ndcg_at_1000_max value: 33.65554095609296
- type: nauc_ndcg_at_1000_std value: -4.024030130584482
- type: nauc_ndcg_at_100_diff1 value: 42.691246775210814
- type: nauc_ndcg_at_100_max value: 34.063232335110875
- type: nauc_ndcg_at_100_std value: -3.477813807415248
- type: nauc_ndcg_at_10_diff1 value: 41.90988990571757
- type: nauc_ndcg_at_10_max value: 34.58934812881633
- type: nauc_ndcg_at_10_std value: -4.3295110195497655
- type: nauc_ndcg_at_1_diff1 value: 46.354919460881206
- type: nauc_ndcg_at_1_max value: 29.1760258591106
- type: nauc_ndcg_at_1_std value: -4.107225031227406
- type: nauc_ndcg_at_20_diff1 value: 42.493206675867114
- type: nauc_ndcg_at_20_max value: 34.562441307459544
- type: nauc_ndcg_at_20_std value: -3.4456116866749107
- type: nauc_ndcg_at_3_diff1 value: 42.24180336502808
- type: nauc_ndcg_at_3_max value: 33.064267018100594
- type: nauc_ndcg_at_3_std value: -7.786248093572142
- type: nauc_ndcg_at_5_diff1 value: 41.692714787779565
- type: nauc_ndcg_at_5_max value: 34.20502498949156
- type: nauc_ndcg_at_5_std value: -5.979557859282785
- type: nauc_precision_at_1000_diff1 value: -13.779832506640702
- type: nauc_precision_at_1000_max value: 1.243001688631421
- type: nauc_precision_at_1000_std value: 17.351623398622323
- type: nauc_precision_at_100_diff1 value: -11.310526816290297
- type: nauc_precision_at_100_max value: 5.771669506192959
- type: nauc_precision_at_100_std value: 19.917795079540113
- type: nauc_precision_at_10_diff1 value: 2.163699384635286
- type: nauc_precision_at_10_max value: 19.66440698458386
- type: nauc_precision_at_10_std value: 13.689876348315726
- type: nauc_precision_at_1_diff1 value: 46.354919460881206
- type: nauc_precision_at_1_max value: 29.1760258591106
- type: nauc_precision_at_1_std value: -4.107225031227406
- type: nauc_precision_at_20_diff1 value: -3.038735879584471
- type: nauc_precision_at_20_max value: 14.132968299701695
- type: nauc_precision_at_20_std value: 17.78069734664346
- type: nauc_precision_at_3_diff1 value: 21.783760758070095
- type: nauc_precision_at_3_max value: 30.244127986404497
- type: nauc_precision_at_3_std value: -0.12411163467738723
- type: nauc_precision_at_5_diff1 value: 10.980635723302418
- type: nauc_precision_at_5_max value: 25.302293738975575
- type: nauc_precision_at_5_std value: 6.4740817488722024
- type: nauc_recall_at_1000_diff1 value: 34.10343772356593
- type: nauc_recall_at_1000_max value: 80.72497340357538
- type: nauc_recall_at_1000_std value: 69.54564103264093
- type: nauc_recall_at_100_diff1 value: 33.427719956774126
- type: nauc_recall_at_100_max value: 71.54086768335449
- type: nauc_recall_at_100_std value: 49.66157377654885
- type: nauc_recall_at_10_diff1 value: 33.70139560054039
- type: nauc_recall_at_10_max value: 45.47878072860151
- type: nauc_recall_at_10_std value: 1.4188516615716378
- type: nauc_recall_at_1_diff1 value: 46.16376563218624
- type: nauc_recall_at_1_max value: 26.342624776802232
- type: nauc_recall_at_1_std value: -7.142171388751972
- type: nauc_recall_at_20_diff1 value: 35.805379874970086
- type: nauc_recall_at_20_max value: 51.80479822253392
- type: nauc_recall_at_20_std value: 13.531467576460143
- type: nauc_recall_at_3_diff1 value: 37.288500141631616
- type: nauc_recall_at_3_max value: 35.07078243516728
- type: nauc_recall_at_3_std value: -10.452926441410405
- type: nauc_recall_at_5_diff1 value: 34.83186104526897
- type: nauc_recall_at_5_max value: 39.58488976496973
- type: nauc_recall_at_5_std value: -6.3049292065708835
- type: ndcg_at_1 value: 50.839999999999996
- type: ndcg_at_10 value: 69.072
- type: ndcg_at_100 value: 71.538
- type: ndcg_at_1000 value: 71.77799999999999
- type: ndcg_at_20 value: 70.41
- type: ndcg_at_3 value: 62.544999999999995
- type: ndcg_at_5 value: 66.33099999999999
- type: precision_at_1 value: 50.839999999999996
- type: precision_at_10 value: 10.495000000000001
- type: precision_at_100 value: 1.1900000000000002
- type: precision_at_1000 value: 0.121
- type: precision_at_20 value: 5.5809999999999995
- type: precision_at_3 value: 27.636
- type: precision_at_5 value: 18.864
- type: recall_at_1 value: 45.483000000000004
- type: recall_at_10 value: 87.483
- type: recall_at_100 value: 97.844
- type: recall_at_1000 value: 99.66199999999999
- type: recall_at_20 value: 92.294
- type: recall_at_3 value: 71.2
- type: recall_at_5 value: 79.753 task: type: Retrieval
- dataset:
config: default
name: MTEB QuoraRetrieval
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
split: test
type: mteb/quora
metrics:
- type: main_score value: 89.58
- type: map_at_1 value: 71.819
- type: map_at_10 value: 86.04899999999999
- type: map_at_100 value: 86.648
- type: map_at_1000 value: 86.66199999999999
- type: map_at_20 value: 86.441
- type: map_at_3 value: 83.114
- type: map_at_5 value: 84.981
- type: mrr_at_1 value: 82.62
- type: mrr_at_10 value: 88.62899999999979
- type: mrr_at_100 value: 88.70918591324215
- type: mrr_at_1000 value: 88.70973091492397
- type: mrr_at_20 value: 88.68914765317221
- type: mrr_at_3 value: 87.74999999999979
- type: mrr_at_5 value: 88.36799999999974
- type: nauc_map_at_1000_diff1 value: 77.89207709760448
- type: nauc_map_at_1000_max value: 29.63371361495422
- type: nauc_map_at_1000_std value: -48.628180385874344
- type: nauc_map_at_100_diff1 value: 77.89592179104915
- type: nauc_map_at_100_max value: 29.617171506130756
- type: nauc_map_at_100_std value: -48.66057170774648
- type: nauc_map_at_10_diff1 value: 78.0618161228185
- type: nauc_map_at_10_max value: 29.178490609366737
- type: nauc_map_at_10_std value: -50.74755004592002
- type: nauc_map_at_1_diff1 value: 81.64335579973574
- type: nauc_map_at_1_max value: 21.813832226652174
- type: nauc_map_at_1_std value: -42.57570978190876
- type: nauc_map_at_20_diff1 value: 77.9299081005938
- type: nauc_map_at_20_max value: 29.458718470003888
- type: nauc_map_at_20_std value: -49.63337236763102
- type: nauc_map_at_3_diff1 value: 78.72941448509229
- type: nauc_map_at_3_max value: 26.600997896960056
- type: nauc_map_at_3_std value: -51.889002227479885
- type: nauc_map_at_5_diff1 value: 78.31466610917171
- type: nauc_map_at_5_max value: 28.09863984582896
- type: nauc_map_at_5_std value: -52.14058096096497
- type: nauc_mrr_at_1000_diff1 value: 78.42667263739992
- type: nauc_mrr_at_1000_max value: 31.98996235127974
- type: nauc_mrr_at_1000_std value: -44.380439148429296
- type: nauc_mrr_at_100_diff1 value: 78.42661032698115
- type: nauc_mrr_at_100_max value: 31.991652631740102
- type: nauc_mrr_at_100_std value: -44.37854108460535
- type: nauc_mrr_at_10_diff1 value: 78.39126022544136
- type: nauc_mrr_at_10_max value: 32.02023484451197
- type: nauc_mrr_at_10_std value: -44.561252349176954
- type: nauc_mrr_at_1_diff1 value: 79.21630894647448
- type: nauc_mrr_at_1_max value: 31.526303156060177
- type: nauc_mrr_at_1_std value: -41.887504422443136
- type: nauc_mrr_at_20_diff1 value: 78.42548039170424
- type: nauc_mrr_at_20_max value: 31.99588275070137
- type: nauc_mrr_at_20_std value: -44.44957722627042
- type: nauc_mrr_at_3_diff1 value: 78.26165151833735
- type: nauc_mrr_at_3_max value: 32.18028826126801
- type: nauc_mrr_at_3_std value: -44.6998237213182
- type: nauc_mrr_at_5_diff1 value: 78.34786430903962
- type: nauc_mrr_at_5_max value: 32.168476272879566
- type: nauc_mrr_at_5_std value: -44.7915919956712
- type: nauc_ndcg_at_1000_diff1 value: 77.79198355957816
- type: nauc_ndcg_at_1000_max value: 31.14363511518406
- type: nauc_ndcg_at_1000_std value: -46.69335151274275
- type: nauc_ndcg_at_100_diff1 value: 77.79898090286419
- type: nauc_ndcg_at_100_max value: 31.115103811629215
- type: nauc_ndcg_at_100_std value: -46.73078913421965
- type: nauc_ndcg_at_10_diff1 value: 77.74856635461343
- type: nauc_ndcg_at_10_max value: 30.279584686212747
- type: nauc_ndcg_at_10_std value: -50.23514662356807
- type: nauc_ndcg_at_1_diff1 value: 79.17833000040999
- type: nauc_ndcg_at_1_max value: 31.703788144510746
- type: nauc_ndcg_at_1_std value: -41.854817402870715
- type: nauc_ndcg_at_20_diff1 value: 77.7380353804671
- type: nauc_ndcg_at_20_max value: 30.622294129001553
- type: nauc_ndcg_at_20_std value: -49.035794761065254
- type: nauc_ndcg_at_3_diff1 value: 77.41476880573593
- type: nauc_ndcg_at_3_max value: 29.015949978243032
- type: nauc_ndcg_at_3_std value: -49.78627087622648
- type: nauc_ndcg_at_5_diff1 value: 77.64439137502896
- type: nauc_ndcg_at_5_max value: 29.444684897492206
- type: nauc_ndcg_at_5_std value: -51.21908400252501
- type: nauc_precision_at_1000_diff1 value: -44.92396459446822
- type: nauc_precision_at_1000_max value: -3.674153720989045
- type: nauc_precision_at_1000_std value: 39.56552468277785
- type: nauc_precision_at_100_diff1 value: -44.75143023259094
- type: nauc_precision_at_100_max value: -3.705280025140011
- type: nauc_precision_at_100_std value: 39.433619999113326
- type: nauc_precision_at_10_diff1 value: -41.0651074726579
- type: nauc_precision_at_10_max value: -0.21097985601783667
- type: nauc_precision_at_10_std value: 26.24652824589493
- type: nauc_precision_at_1_diff1 value: 79.17833000040999
- type: nauc_precision_at_1_max value: 31.703788144510746
- type: nauc_precision_at_1_std value: -41.854817402870715
- type: nauc_precision_at_20_diff1 value: -43.368001340920294
- type: nauc_precision_at_20_max value: -2.036990010399129
- type: nauc_precision_at_20_std value: 32.37747041406297
- type: nauc_precision_at_3_diff1 value: -22.089307548346877
- type: nauc_precision_at_3_max value: 6.2280973175296
- type: nauc_precision_at_3_std value: 5.323992514036145
- type: nauc_precision_at_5_diff1 value: -34.07115055244003
- type: nauc_precision_at_5_max value: 2.5955315789198834
- type: nauc_precision_at_5_std value: 16.26096689407332
- type: nauc_recall_at_1000_diff1 value: 58.27703860947467
- type: nauc_recall_at_1000_max value: 68.59835835315768
- type: nauc_recall_at_1000_std value: 77.96687006056064
- type: nauc_recall_at_100_diff1 value: 73.24371223081737
- type: nauc_recall_at_100_max value: 39.55925344664591
- type: nauc_recall_at_100_std value: -32.25605030215798
- type: nauc_recall_at_10_diff1 value: 73.41261201339202
- type: nauc_recall_at_10_max value: 26.822979434062926
- type: nauc_recall_at_10_std value: -74.2909332592806
- type: nauc_recall_at_1_diff1 value: 81.64335579973574
- type: nauc_recall_at_1_max value: 21.813832226652174
- type: nauc_recall_at_1_std value: -42.57570978190876
- type: nauc_recall_at_20_diff1 value: 72.7621297920656
- type: nauc_recall_at_20_max value: 26.02492304096079
- type: nauc_recall_at_20_std value: -77.8724532438279
- type: nauc_recall_at_3_diff1 value: 75.25149312810714
- type: nauc_recall_at_3_max value: 23.20545662481487
- type: nauc_recall_at_3_std value: -59.69689982140521
- type: nauc_recall_at_5_diff1 value: 73.69807273001406
- type: nauc_recall_at_5_max value: 24.073666798066057
- type: nauc_recall_at_5_std value: -67.91121268130719
- type: ndcg_at_1 value: 82.64
- type: ndcg_at_10 value: 89.58
- type: ndcg_at_100 value: 90.606
- type: ndcg_at_1000 value: 90.676
- type: ndcg_at_20 value: 90.132
- type: ndcg_at_3 value: 86.88
- type: ndcg_at_5 value: 88.40299999999999
- type: precision_at_1 value: 82.64
- type: precision_at_10 value: 13.604
- type: precision_at_100 value: 1.539
- type: precision_at_1000 value: 0.157
- type: precision_at_20 value: 7.188
- type: precision_at_3 value: 38.083
- type: precision_at_5 value: 25.018
- type: recall_at_1 value: 71.819
- type: recall_at_10 value: 96.34700000000001
- type: recall_at_100 value: 99.715
- type: recall_at_1000 value: 99.995
- type: recall_at_20 value: 98.073
- type: recall_at_3 value: 88.57300000000001
- type: recall_at_5 value: 92.908 task: type: Retrieval
- dataset:
config: default
name: MTEB RedditClustering
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
split: test
type: mteb/reddit-clustering
metrics:
- type: main_score value: 71.18966762070158
- type: v_measure value: 71.18966762070158
- type: v_measure_std value: 2.7498969054457048 task: type: Clustering
- dataset:
config: default
name: MTEB RedditClusteringP2P
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
split: test
type: mteb/reddit-clustering-p2p
metrics:
- type: main_score value: 74.42014716862516
- type: v_measure value: 74.42014716862516
- type: v_measure_std value: 9.909739891410648 task: type: Clustering
- dataset:
config: default
name: MTEB SCIDOCS
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
split: test
type: mteb/scidocs
metrics:
- type: main_score value: 25.041999999999998
- type: map_at_1 value: 5.893000000000001
- type: map_at_10 value: 15.260000000000002
- type: map_at_100 value: 18.084
- type: map_at_1000 value: 18.467
- type: map_at_20 value: 16.675
- type: map_at_3 value: 10.526
- type: map_at_5 value: 12.775
- type: mrr_at_1 value: 28.999999999999996
- type: mrr_at_10 value: 41.03575396825395
- type: mrr_at_100 value: 42.136771862785835
- type: mrr_at_1000 value: 42.16698555415099
- type: mrr_at_20 value: 41.707493696104315
- type: mrr_at_3 value: 37.34999999999998
- type: mrr_at_5 value: 39.59999999999995
- type: nauc_map_at_1000_diff1 value: 12.080002654911883
- type: nauc_map_at_1000_max value: 29.813563682286276
- type: nauc_map_at_1000_std value: 20.36659817908673
- type: nauc_map_at_100_diff1 value: 12.108735517749706
- type: nauc_map_at_100_max value: 29.76830671710955
- type: nauc_map_at_100_std value: 20.3433621032846
- type: nauc_map_at_10_diff1 value: 12.91575031185637
- type: nauc_map_at_10_max value: 29.427600958386318
- type: nauc_map_at_10_std value: 16.89867275177153
- type: nauc_map_at_1_diff1 value: 19.353069488987916
- type: nauc_map_at_1_max value: 17.093914951159693
- type: nauc_map_at_1_std value: 8.19886078055046
- type: nauc_map_at_20_diff1 value: 11.977233457943113
- type: nauc_map_at_20_max value: 29.171812822948805
- type: nauc_map_at_20_std value: 18.780517506173965
- type: nauc_map_at_3_diff1 value: 14.453129464176092
- type: nauc_map_at_3_max value: 25.801958649112077
- type: nauc_map_at_3_std value: 11.572823684429643
- type: nauc_map_at_5_diff1 value: 13.167155808104997
- type: nauc_map_at_5_max value: 27.355626948365792
- type: nauc_map_at_5_std value: 14.414151839192183
- type: nauc_mrr_at_1000_diff1 value: 17.262104643988636
- type: nauc_mrr_at_1000_max value: 23.991373837217058
- type: nauc_mrr_at_1000_std value: 12.44755488671623
- type: nauc_mrr_at_100_diff1 value: 17.267280132318703
- type: nauc_mrr_at_100_max value: 24.022189287889294
- type: nauc_mrr_at_100_std value: 12.480695500214788
- type: nauc_mrr_at_10_diff1 value: 17.012383998246268
- type: nauc_mrr_at_10_max value: 24.192637911171722
- type: nauc_mrr_at_10_std value: 12.524608847408917
- type: nauc_mrr_at_1_diff1 value: 19.43518811038007
- type: nauc_mrr_at_1_max value: 17.747482933395602
- type: nauc_mrr_at_1_std value: 8.410779775558684
- type: nauc_mrr_at_20_diff1 value: 17.202663281407446
- type: nauc_mrr_at_20_max value: 24.091991130543118
- type: nauc_mrr_at_20_std value: 12.503814263019908
- type: nauc_mrr_at_3_diff1 value: 17.52733013432995
- type: nauc_mrr_at_3_max value: 23.569459518780214
- type: nauc_mrr_at_3_std value: 11.770846827520726
- type: nauc_mrr_at_5_diff1 value: 17.10817561975543
- type: nauc_mrr_at_5_max value: 23.945141435234678
- type: nauc_mrr_at_5_std value: 12.034468615317719
- type: nauc_ndcg_at_1000_diff1 value: 12.317811393346936
- type: nauc_ndcg_at_1000_max value: 30.809991350156103
- type: nauc_ndcg_at_1000_std value: 24.517501065205067
- type: nauc_ndcg_at_100_diff1 value: 12.824804203182936
- type: nauc_ndcg_at_100_max value: 30.895499817010748
- type: nauc_ndcg_at_100_std value: 25.424376279745402
- type: nauc_ndcg_at_10_diff1 value: 13.32724552457439
- type: nauc_ndcg_at_10_max value: 30.409088666807456
- type: nauc_ndcg_at_10_std value: 18.216330475714113
- type: nauc_ndcg_at_1_diff1 value: 19.43518811038007
- type: nauc_ndcg_at_1_max value: 17.747482933395602
- type: nauc_ndcg_at_1_std value: 8.410779775558684
- type: nauc_ndcg_at_20_diff1 value: 12.224399111852902
- type: nauc_ndcg_at_20_max value: 29.86352330445272
- type: nauc_ndcg_at_20_std value: 21.196937851331807
- type: nauc_ndcg_at_3_diff1 value: 15.367489533734027
- type: nauc_ndcg_at_3_max value: 26.76486390741532
- type: nauc_ndcg_at_3_std value: 12.606077508789923
- type: nauc_ndcg_at_5_diff1 value: 13.831157482390935
- type: nauc_ndcg_at_5_max value: 28.070226983968904
- type: nauc_ndcg_at_5_std value: 15.236787943125435
- type: nauc_precision_at_1000_diff1 value: 0.016122957101357048
- type: nauc_precision_at_1000_max value: 24.380929903557334
- type: nauc_precision_at_1000_std value: 34.54045112720052
- type: nauc_precision_at_100_diff1 value: 7.255224788507301
- type: nauc_precision_at_100_max value: 27.98453788447542
- type: nauc_precision_at_100_std value: 35.38999555441665
- type: nauc_precision_at_10_diff1 value: 9.69185099834181
- type: nauc_precision_at_10_max value: 32.532315522580454
- type: nauc_precision_at_10_std value: 21.48948348473612
- type: nauc_precision_at_1_diff1 value: 19.43518811038007
- type: nauc_precision_at_1_max value: 17.747482933395602
- type: nauc_precision_at_1_std value: 8.410779775558684
- type: nauc_precision_at_20_diff1 value: 6.964076536695672
- type: nauc_precision_at_20_max value: 29.30087236410044
- type: nauc_precision_at_20_std value: 26.413625895571986
- type: nauc_precision_at_3_diff1 value: 14.145134359925155
- type: nauc_precision_at_3_max value: 29.915650960808303
- type: nauc_precision_at_3_std value: 14.095370019867797
- type: nauc_precision_at_5_diff1 value: 11.043933558522692
- type: nauc_precision_at_5_max value: 30.93016505807111
- type: nauc_precision_at_5_std value: 17.749256196062603
- type: nauc_recall_at_1000_diff1 value: -0.7776817772090345
- type: nauc_recall_at_1000_max value: 23.094717340324518
- type: nauc_recall_at_1000_std value: 37.189908681396425
- type: nauc_recall_at_100_diff1 value: 6.887748742013364
- type: nauc_recall_at_100_max value: 27.00798435230277
- type: nauc_recall_at_100_std value: 35.908147807345344
- type: nauc_recall_at_10_diff1 value: 9.605632017480751
- type: nauc_recall_at_10_max value: 31.845202901168655
- type: nauc_recall_at_10_std value: 21.497414586634683
- type: nauc_recall_at_1_diff1 value: 19.353069488987916
- type: nauc_recall_at_1_max value: 17.093914951159693
- type: nauc_recall_at_1_std value: 8.19886078055046
- type: nauc_recall_at_20_diff1 value: 6.927503731844782
- type: nauc_recall_at_20_max value: 28.611698183338202
- type: nauc_recall_at_20_std value: 26.69018660149911
- type: nauc_recall_at_3_diff1 value: 14.043724087062268
- type: nauc_recall_at_3_max value: 29.269835821380465
- type: nauc_recall_at_3_std value: 14.104419605998094
- type: nauc_recall_at_5_diff1 value: 11.017319452873336
- type: nauc_recall_at_5_max value: 30.295720628306228
- type: nauc_recall_at_5_std value: 17.758048545573825
- type: ndcg_at_1 value: 28.999999999999996
- type: ndcg_at_10 value: 25.041999999999998
- type: ndcg_at_100 value: 35.045
- type: ndcg_at_1000 value: 40.803
- type: ndcg_at_20 value: 28.584
- type: ndcg_at_3 value: 23.249
- type: ndcg_at_5 value: 20.533
- type: precision_at_1 value: 28.999999999999996
- type: precision_at_10 value: 13.120000000000001
- type: precision_at_100 value: 2.7470000000000003
- type: precision_at_1000 value: 0.41200000000000003
- type: precision_at_20 value: 8.584999999999999
- type: precision_at_3 value: 21.633
- type: precision_at_5 value: 18.099999999999998
- type: recall_at_1 value: 5.893000000000001
- type: recall_at_10 value: 26.567
- type: recall_at_100 value: 55.800000000000004
- type: recall_at_1000 value: 83.608
- type: recall_at_20 value: 34.86
- type: recall_at_3 value: 13.153
- type: recall_at_5 value: 18.323 task: type: Retrieval
- dataset:
config: default
name: MTEB SICK-R
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
split: test
type: mteb/sickr-sts
metrics:
- type: cosine_pearson value: 86.57284584320382
- type: cosine_spearman value: 82.20531642680812
- type: euclidean_pearson value: 83.94261758556554
- type: euclidean_spearman value: 82.20721497738559
- type: main_score value: 82.20531642680812
- type: manhattan_pearson value: 84.15902154703083
- type: manhattan_spearman value: 82.19506027155957
- type: pearson value: 86.57284584320382
- type: spearman value: 82.20531642680812 task: type: STS
- dataset:
config: default
name: MTEB STS12
revision: a0d554a64d88156834ff5ae9920b964011b16384
split: test
type: mteb/sts12-sts
metrics:
- type: cosine_pearson value: 86.28047602146931
- type: cosine_spearman value: 79.51504881448884
- type: euclidean_pearson value: 83.10545189967856
- type: euclidean_spearman value: 79.50586960492797
- type: main_score value: 79.51504881448884
- type: manhattan_pearson value: 83.44244457500889
- type: manhattan_spearman value: 79.730303339846
- type: pearson value: 86.28047602146931
- type: spearman value: 79.51504881448884 task: type: STS
- dataset:
config: default
name: MTEB STS13
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
split: test
type: mteb/sts13-sts
metrics:
- type: cosine_pearson value: 88.74723553048702
- type: cosine_spearman value: 89.18936052329725
- type: euclidean_pearson value: 88.90400878928668
- type: euclidean_spearman value: 89.19174821431281
- type: main_score value: 89.18936052329725
- type: manhattan_pearson value: 88.81504628424054
- type: manhattan_spearman value: 89.18063294142597
- type: pearson value: 88.74723553048702
- type: spearman value: 89.18936052329725 task: type: STS
- dataset:
config: default
name: MTEB STS14
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
split: test
type: mteb/sts14-sts
metrics:
- type: cosine_pearson value: 86.45403437836023
- type: cosine_spearman value: 85.14654611519086
- type: euclidean_pearson value: 85.87509624462743
- type: euclidean_spearman value: 85.1391108856681
- type: main_score value: 85.14654611519086
- type: manhattan_pearson value: 85.96635794953866
- type: manhattan_spearman value: 85.3271371527667
- type: pearson value: 86.45403437836023
- type: spearman value: 85.14654611519086 task: type: STS
- dataset:
config: default
name: MTEB STS15
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
split: test
type: mteb/sts15-sts
metrics:
- type: cosine_pearson value: 87.84742260009705
- type: cosine_spearman value: 89.10215217191254
- type: euclidean_pearson value: 88.97393286325477
- type: euclidean_spearman value: 89.1014105509662
- type: main_score value: 89.10215217191254
- type: manhattan_pearson value: 89.31698781090151
- type: manhattan_spearman value: 89.53000001764433
- type: pearson value: 87.84742260009705
- type: spearman value: 89.10215217191254 task: type: STS
- dataset:
config: default
name: MTEB STS16
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
split: test
type: mteb/sts16-sts
metrics:
- type: cosine_pearson value: 85.22397535461835
- type: cosine_spearman value: 87.14066355879785
- type: euclidean_pearson value: 86.31393364087295
- type: euclidean_spearman value: 87.14018892702765
- type: main_score value: 87.14066355879785
- type: manhattan_pearson value: 86.36366855248434
- type: manhattan_spearman value: 87.20858630423012
- type: pearson value: 85.22397535461835
- type: spearman value: 87.14066355879785 task: type: STS
- dataset:
config: en-en
name: MTEB STS17 (en-en)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics:
- type: cosine_pearson value: 90.66131612061355
- type: cosine_spearman value: 90.97082650129164
- type: euclidean_pearson value: 90.98181906744969
- type: euclidean_spearman value: 90.99008476850047
- type: main_score value: 90.97082650129164
- type: manhattan_pearson value: 90.75245040709021
- type: manhattan_spearman value: 90.6199877691265
- type: pearson value: 90.66131612061355
- type: spearman value: 90.97082650129164 task: type: STS
- dataset:
config: en
name: MTEB STS22 (en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
- type: cosine_pearson value: 67.270656447085
- type: cosine_spearman value: 67.82870469746828
- type: euclidean_pearson value: 69.03857775285664
- type: euclidean_spearman value: 67.74455108773341
- type: main_score value: 67.82870469746828
- type: manhattan_pearson value: 69.25304172245812
- type: manhattan_spearman value: 68.00987097916055
- type: pearson value: 67.270656447085
- type: spearman value: 67.82870469746828 task: type: STS
- dataset:
config: default
name: MTEB STSBenchmark
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
split: test
type: mteb/stsbenchmark-sts
metrics:
- type: cosine_pearson value: 87.17245205384889
- type: cosine_spearman value: 87.7360146030987
- type: euclidean_pearson value: 87.48919412794656
- type: euclidean_spearman value: 87.7312047878383
- type: main_score value: 87.7360146030987
- type: manhattan_pearson value: 87.61476224354806
- type: manhattan_spearman value: 87.95220889254693
- type: pearson value: 87.17245205384889
- type: spearman value: 87.7360146030987 task: type: STS
- dataset:
config: default
name: MTEB SciDocsRR
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
split: test
type: mteb/scidocs-reranking
metrics:
- type: main_score value: 88.43547871921146
- type: map value: 88.43547871921146
- type: mrr value: 96.5564473652709
- type: nAUC_map_diff1 value: -13.66029392579231
- type: nAUC_map_max value: 50.325613574053506
- type: nAUC_map_std value: 60.02986231275796
- type: nAUC_mrr_diff1 value: 23.83821476411125
- type: nAUC_mrr_max value: 86.72643311769906
- type: nAUC_mrr_std value: 72.12741063469213 task: type: Reranking
- dataset:
config: default
name: MTEB SciFact
revision: 0228b52cf27578f30900b9e5271d331663a030d7
split: test
type: mteb/scifact
metrics:
- type: main_score value: 78.233
- type: map_at_1 value: 61.49400000000001
- type: map_at_10 value: 73.30600000000001
- type: map_at_100 value: 73.719
- type: map_at_1000 value: 73.724
- type: map_at_20 value: 73.611
- type: map_at_3 value: 70.626
- type: map_at_5 value: 72.417
- type: mrr_at_1 value: 64.66666666666666
- type: mrr_at_10 value: 74.30357142857143
- type: mrr_at_100 value: 74.56950898079988
- type: mrr_at_1000 value: 74.57295833098681
- type: mrr_at_20 value: 74.46165223665226
- type: mrr_at_3 value: 72.3888888888889
- type: mrr_at_5 value: 73.60555555555557
- type: nauc_map_at_1000_diff1 value: 76.51524604780636
- type: nauc_map_at_1000_max value: 53.48521938401881
- type: nauc_map_at_1000_std value: -7.347799382158861
- type: nauc_map_at_100_diff1 value: 76.5122888096236
- type: nauc_map_at_100_max value: 53.49221847471618
- type: nauc_map_at_100_std value: -7.329683735681086
- type: nauc_map_at_10_diff1 value: 76.30928630674504
- type: nauc_map_at_10_max value: 53.00102977185941
- type: nauc_map_at_10_std value: -7.7467740085108705
- type: nauc_map_at_1_diff1 value: 79.54189281784247
- type: nauc_map_at_1_max value: 46.630071622109526
- type: nauc_map_at_1_std value: -14.395943134644112
- type: nauc_map_at_20_diff1 value: 76.41604361947962
- type: nauc_map_at_20_max value: 53.578883876146875
- type: nauc_map_at_20_std value: -7.403103451288041
- type: nauc_map_at_3_diff1 value: 76.25911617571941
- type: nauc_map_at_3_max value: 49.140287380513605
- type: nauc_map_at_3_std value: -11.35992449218983
- type: nauc_map_at_5_diff1 value: 76.35122077770336
- type: nauc_map_at_5_max value: 52.1744367901208
- type: nauc_map_at_5_std value: -7.85753955055384
- type: nauc_mrr_at_1000_diff1 value: 76.97223309515867
- type: nauc_mrr_at_1000_max value: 57.263787498613326
- type: nauc_mrr_at_1000_std value: -4.884090708840035
- type: nauc_mrr_at_100_diff1 value: 76.97312970894603
- type: nauc_mrr_at_100_max value: 57.26850730446478
- type: nauc_mrr_at_100_std value: -4.875200894216617
- type: nauc_mrr_at_10_diff1 value: 76.65927674223613
- type: nauc_mrr_at_10_max value: 57.30979763941454
- type: nauc_mrr_at_10_std value: -4.863331094022142
- type: nauc_mrr_at_1_diff1 value: 80.0454932568644
- type: nauc_mrr_at_1_max value: 56.76038421319305
- type: nauc_mrr_at_1_std value: -4.101939392632653
- type: nauc_mrr_at_20_diff1 value: 76.87237970440503
- type: nauc_mrr_at_20_max value: 57.33843605225869
- type: nauc_mrr_at_20_std value: -4.96248984417978
- type: nauc_mrr_at_3_diff1 value: 76.74130186666727
- type: nauc_mrr_at_3_max value: 56.19313244846155
- type: nauc_mrr_at_3_std value: -5.684365934009136
- type: nauc_mrr_at_5_diff1 value: 76.66406918799962
- type: nauc_mrr_at_5_max value: 57.56110093228628
- type: nauc_mrr_at_5_std value: -3.7464413085588073
- type: nauc_ndcg_at_1000_diff1 value: 76.19194173971773
- type: nauc_ndcg_at_1000_max value: 55.57464600170693
- type: nauc_ndcg_at_1000_std value: -6.0761689532372625
- type: nauc_ndcg_at_100_diff1 value: 76.14631273843654
- type: nauc_ndcg_at_100_max value: 55.72246565373382
- type: nauc_ndcg_at_100_std value: -5.595160698860595
- type: nauc_ndcg_at_10_diff1 value: 75.0108223611192
- type: nauc_ndcg_at_10_max value: 55.27894212877493
- type: nauc_ndcg_at_10_std value: -6.968331740214591
- type: nauc_ndcg_at_1_diff1 value: 80.0454932568644
- type: nauc_ndcg_at_1_max value: 56.76038421319305
- type: nauc_ndcg_at_1_std value: -4.101939392632653
- type: nauc_ndcg_at_20_diff1 value: 75.54887755702472
- type: nauc_ndcg_at_20_max value: 56.406879417251496
- type: nauc_ndcg_at_20_std value: -6.495231061329629
- type: nauc_ndcg_at_3_diff1 value: 75.03620356688509
- type: nauc_ndcg_at_3_max value: 52.147381077773424
- type: nauc_ndcg_at_3_std value: -8.448005688956199
- type: nauc_ndcg_at_5_diff1 value: 75.1195898074229
- type: nauc_ndcg_at_5_max value: 54.2321033861173
- type: nauc_ndcg_at_5_std value: -5.882690780895338
- type: nauc_precision_at_1000_diff1 value: -28.081979732100532
- type: nauc_precision_at_1000_max value: 35.055348014832916
- type: nauc_precision_at_1000_std value: 59.61280468927384
- type: nauc_precision_at_100_diff1 value: -25.112740730587458
- type: nauc_precision_at_100_max value: 38.26331300116496
- type: nauc_precision_at_100_std value: 62.46316222328831
- type: nauc_precision_at_10_diff1 value: -2.6766206473658833
- type: nauc_precision_at_10_max value: 45.95321867204845
- type: nauc_precision_at_10_std value: 45.07212468670564
- type: nauc_precision_at_1_diff1 value: 80.0454932568644
- type: nauc_precision_at_1_max value: 56.76038421319305
- type: nauc_precision_at_1_std value: -4.101939392632653
- type: nauc_precision_at_20_diff1 value: -10.698911116738385
- type: nauc_precision_at_20_max value: 43.467275950182994
- type: nauc_precision_at_20_std value: 48.00467321991766
- type: nauc_precision_at_3_diff1 value: 33.6344708541193
- type: nauc_precision_at_3_max value: 49.309242331670504
- type: nauc_precision_at_3_std value: 21.02940391379915
- type: nauc_precision_at_5_diff1 value: 13.560415600596318
- type: nauc_precision_at_5_max value: 48.918726500100085
- type: nauc_precision_at_5_std value: 39.940930429172184
- type: nauc_recall_at_1000_diff1 value: .nan
- type: nauc_recall_at_1000_max value: .nan
- type: nauc_recall_at_1000_std value: .nan
- type: nauc_recall_at_100_diff1 value: 70.82166199813196
- type: nauc_recall_at_100_max value: 76.6106442577042
- type: nauc_recall_at_100_std value: 66.47992530345513
- type: nauc_recall_at_10_diff1 value: 62.68908885556092
- type: nauc_recall_at_10_max value: 58.14262437741839
- type: nauc_recall_at_10_std value: -12.946717875063369
- type: nauc_recall_at_1_diff1 value: 79.54189281784247
- type: nauc_recall_at_1_max value: 46.630071622109526
- type: nauc_recall_at_1_std value: -14.395943134644112
- type: nauc_recall_at_20_diff1 value: 65.79470497876567
- type: nauc_recall_at_20_max value: 71.68308183488456
- type: nauc_recall_at_20_std value: -12.556850697268453
- type: nauc_recall_at_3_diff1 value: 68.3240211318129
- type: nauc_recall_at_3_max value: 45.05998217275036
- type: nauc_recall_at_3_std value: -14.23179772593869
- type: nauc_recall_at_5_diff1 value: 67.53366869904056
- type: nauc_recall_at_5_max value: 53.57935627081027
- type: nauc_recall_at_5_std value: -3.3271112904853393
- type: ndcg_at_1 value: 64.667
- type: ndcg_at_10 value: 78.233
- type: ndcg_at_100 value: 79.806
- type: ndcg_at_1000 value: 79.92099999999999
- type: ndcg_at_20 value: 79.006
- type: ndcg_at_3 value: 74.018
- type: ndcg_at_5 value: 76.334
- type: precision_at_1 value: 64.667
- type: precision_at_10 value: 10.4
- type: precision_at_100 value: 1.1199999999999999
- type: precision_at_1000 value: 0.11299999999999999
- type: precision_at_20 value: 5.383
- type: precision_at_3 value: 29.444
- type: precision_at_5 value: 19.467000000000002
- type: recall_at_1 value: 61.49400000000001
- type: recall_at_10 value: 92.156
- type: recall_at_100 value: 99.167
- type: recall_at_1000 value: 100.0
- type: recall_at_20 value: 94.833
- type: recall_at_3 value: 80.833
- type: recall_at_5 value: 86.6 task: type: Retrieval
- dataset:
config: default
name: MTEB SprintDuplicateQuestions
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
split: test
type: mteb/sprintduplicatequestions-pairclassification
metrics:
- type: cosine_accuracy value: 99.8039603960396
- type: cosine_accuracy_threshold value: 84.54211950302124
- type: cosine_ap value: 95.59056372734358
- type: cosine_f1 value: 90.1394422310757
- type: cosine_f1_threshold value: 84.54211950302124
- type: cosine_precision value: 89.78174603174604
- type: cosine_recall value: 90.5
- type: dot_accuracy value: 99.80594059405941
- type: dot_accuracy_threshold value: 85.57180166244507
- type: dot_ap value: 95.53453431914399
- type: dot_f1 value: 90.10442565887618
- type: dot_f1_threshold value: 84.59715843200684
- type: dot_precision value: 89.61424332344214
- type: dot_recall value: 90.60000000000001
- type: euclidean_accuracy value: 99.8039603960396
- type: euclidean_accuracy_threshold value: 53.253382444381714
- type: euclidean_ap value: 95.5850992402159
- type: euclidean_f1 value: 90.09457441513192
- type: euclidean_f1_threshold value: 55.725520849227905
- type: euclidean_precision value: 89.69276511397423
- type: euclidean_recall value: 90.5
- type: main_score value: 95.7485189884476
- type: manhattan_accuracy value: 99.81485148514851
- type: manhattan_accuracy_threshold value: 3491.29638671875
- type: manhattan_ap value: 95.7485189884476
- type: manhattan_f1 value: 90.464048954615
- type: manhattan_f1_threshold value: 3491.29638671875
- type: manhattan_precision value: 92.2996878251821
- type: manhattan_recall value: 88.7
- type: max_ap value: 95.7485189884476
- type: max_f1 value: 90.464048954615
- type: max_precision value: 92.2996878251821
- type: max_recall value: 90.60000000000001
- type: similarity_accuracy value: 99.8039603960396
- type: similarity_accuracy_threshold value: 84.54211950302124
- type: similarity_ap value: 95.59056372734358
- type: similarity_f1 value: 90.1394422310757
- type: similarity_f1_threshold value: 84.54211950302124
- type: similarity_precision value: 89.78174603174604
- type: similarity_recall value: 90.5 task: type: PairClassification
- dataset:
config: default
name: MTEB StackExchangeClustering
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
split: test
type: mteb/stackexchange-clustering
metrics:
- type: main_score value: 78.49205191950675
- type: v_measure value: 78.49205191950675
- type: v_measure_std value: 2.84869550699959 task: type: Clustering
- dataset:
config: default
name: MTEB StackExchangeClusteringP2P
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
split: test
type: mteb/stackexchange-clustering-p2p
metrics:
- type: main_score value: 48.90421736513028
- type: v_measure value: 48.90421736513028
- type: v_measure_std value: 1.6875865714471023 task: type: Clustering
- dataset:
config: default
name: MTEB StackOverflowDupQuestions
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
split: test
type: mteb/stackoverflowdupquestions-reranking
metrics:
- type: main_score value: 52.9874730481696
- type: map value: 52.9874730481696
- type: mrr value: 53.85867604617604
- type: nAUC_map_diff1 value: 39.633429293407616
- type: nAUC_map_max value: 10.236807988858546
- type: nAUC_map_std value: 10.276522217929674
- type: nAUC_mrr_diff1 value: 40.0543079218377
- type: nAUC_mrr_max value: 10.96209807382042
- type: nAUC_mrr_std value: 10.524400196109918 task: type: Reranking
- dataset:
config: default
name: MTEB SummEval
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
split: test
type: mteb/summeval
metrics:
- type: cosine_pearson value: 30.727801109114232
- type: cosine_spearman value: 31.66058223980157
- type: dot_pearson value: 30.78818248622866
- type: dot_spearman value: 31.525158776890265
- type: main_score value: 31.66058223980157
- type: pearson value: 30.727801109114232
- type: spearman value: 31.66058223980157 task: type: Summarization
- dataset:
config: default
name: MTEB TRECCOVID
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
split: test
type: mteb/trec-covid
metrics:
- type: main_score value: 85.206
- type: map_at_1 value: 0.246
- type: map_at_10 value: 2.1950000000000003
- type: map_at_100 value: 14.179
- type: map_at_1000 value: 35.037
- type: map_at_20 value: 4.143
- type: map_at_3 value: 0.7100000000000001
- type: map_at_5 value: 1.135
- type: mrr_at_1 value: 94.0
- type: mrr_at_10 value: 96.66666666666666
- type: mrr_at_100 value: 96.66666666666666
- type: mrr_at_1000 value: 96.66666666666666
- type: mrr_at_20 value: 96.66666666666666
- type: mrr_at_3 value: 96.66666666666666
- type: mrr_at_5 value: 96.66666666666666
- type: nauc_map_at_1000_diff1 value: -4.6264497624527525
- type: nauc_map_at_1000_max value: 44.594457564749355
- type: nauc_map_at_1000_std value: 73.17642341400133
- type: nauc_map_at_100_diff1 value: 23.451335157405726
- type: nauc_map_at_100_max value: 25.426398857299525
- type: nauc_map_at_100_std value: 64.07416694472633
- type: nauc_map_at_10_diff1 value: 46.57568738568346
- type: nauc_map_at_10_max value: 9.693233249079238
- type: nauc_map_at_10_std value: 28.549530265164357
- type: nauc_map_at_1_diff1 value: 53.48238396620123
- type: nauc_map_at_1_max value: 0.33476619393733076
- type: nauc_map_at_1_std value: 8.906362219128463
- type: nauc_map_at_20_diff1 value: 39.40719602207749
- type: nauc_map_at_20_max value: 9.635915072074045
- type: nauc_map_at_20_std value: 35.15634791346394
- type: nauc_map_at_3_diff1 value: 53.11784737840137
- type: nauc_map_at_3_max value: 3.059682761072153
- type: nauc_map_at_3_std value: 21.310633086556617
- type: nauc_map_at_5_diff1 value: 49.91570701185436
- type: nauc_map_at_5_max value: 8.045082896244576
- type: nauc_map_at_5_std value: 20.597686235051647
- type: nauc_mrr_at_1000_diff1 value: 41.98412698412726
- type: nauc_mrr_at_1000_max value: 78.24463118580779
- type: nauc_mrr_at_1000_std value: 0.30812324930028195
- type: nauc_mrr_at_100_diff1 value: 41.98412698412726
- type: nauc_mrr_at_100_max value: 78.24463118580779
- type: nauc_mrr_at_100_std value: 0.30812324930028195
- type: nauc_mrr_at_10_diff1 value: 41.98412698412726
- type: nauc_mrr_at_10_max value: 78.24463118580779
- type: nauc_mrr_at_10_std value: 0.30812324930028195
- type: nauc_mrr_at_1_diff1 value: 38.62433862433873
- type: nauc_mrr_at_1_max value: 80.78120136943666
- type: nauc_mrr_at_1_std value: -10.768751945222197
- type: nauc_mrr_at_20_diff1 value: 41.98412698412726
- type: nauc_mrr_at_20_max value: 78.24463118580779
- type: nauc_mrr_at_20_std value: 0.30812324930028195
- type: nauc_mrr_at_3_diff1 value: 41.98412698412726
- type: nauc_mrr_at_3_max value: 78.24463118580779
- type: nauc_mrr_at_3_std value: 0.30812324930028195
- type: nauc_mrr_at_5_diff1 value: 41.98412698412726
- type: nauc_mrr_at_5_max value: 78.24463118580779
- type: nauc_mrr_at_5_std value: 0.30812324930028195
- type: nauc_ndcg_at_1000_diff1 value: 0.5174948602880207
- type: nauc_ndcg_at_1000_max value: 48.60686602077053
- type: nauc_ndcg_at_1000_std value: 75.72456343175277
- type: nauc_ndcg_at_100_diff1 value: -20.747252137999254
- type: nauc_ndcg_at_100_max value: 49.985132618254994
- type: nauc_ndcg_at_100_std value: 61.096383293836574
- type: nauc_ndcg_at_10_diff1 value: 6.791377920463332
- type: nauc_ndcg_at_10_max value: 57.50019332833286
- type: nauc_ndcg_at_10_std value: 49.201028841219426
- type: nauc_ndcg_at_1_diff1 value: 54.92683440362145
- type: nauc_ndcg_at_1_max value: 83.8667228129276
- type: nauc_ndcg_at_1_std value: 1.6738604063586122
- type: nauc_ndcg_at_20_diff1 value: -5.1948699196314925
- type: nauc_ndcg_at_20_max value: 54.483087684806556
- type: nauc_ndcg_at_20_std value: 50.54823818118781
- type: nauc_ndcg_at_3_diff1 value: 26.267246500164372
- type: nauc_ndcg_at_3_max value: 63.0173212926611
- type: nauc_ndcg_at_3_std value: 41.025597406368256
- type: nauc_ndcg_at_5_diff1 value: 16.910185454343036
- type: nauc_ndcg_at_5_max value: 60.9328683868778
- type: nauc_ndcg_at_5_std value: 36.70169905857712
- type: nauc_precision_at_1000_diff1 value: -46.374447765983525
- type: nauc_precision_at_1000_max value: 35.36052337813863
- type: nauc_precision_at_1000_std value: 14.219220668161018
- type: nauc_precision_at_100_diff1 value: -29.7838083657744
- type: nauc_precision_at_100_max value: 43.93589400385112
- type: nauc_precision_at_100_std value: 55.425045718579945
- type: nauc_precision_at_10_diff1 value: -12.016613405227687
- type: nauc_precision_at_10_max value: 57.79924427743131
- type: nauc_precision_at_10_std value: 49.022036703550675
- type: nauc_precision_at_1_diff1 value: 38.62433862433873
- type: nauc_precision_at_1_max value: 80.78120136943666
- type: nauc_precision_at_1_std value: -10.768751945222197
- type: nauc_precision_at_20_diff1 value: -23.95633847880195
- type: nauc_precision_at_20_max value: 48.34715917258276
- type: nauc_precision_at_20_std value: 48.82198285255887
- type: nauc_precision_at_3_diff1 value: 6.871296905858807
- type: nauc_precision_at_3_max value: 70.54805793285054
- type: nauc_precision_at_3_std value: 44.65108624094803
- type: nauc_precision_at_5_diff1 value: -9.074932448759695
- type: nauc_precision_at_5_max value: 67.41284242437573
- type: nauc_precision_at_5_std value: 23.876891983919577
- type: nauc_recall_at_1000_diff1 value: 8.142288830293255
- type: nauc_recall_at_1000_max value: 38.85182826835104
- type: nauc_recall_at_1000_std value: 68.60783819217335
- type: nauc_recall_at_100_diff1 value: 34.262914076287466
- type: nauc_recall_at_100_max value: 12.87009658528838
- type: nauc_recall_at_100_std value: 56.21330603762995
- type: nauc_recall_at_10_diff1 value: 49.33830945338758
- type: nauc_recall_at_10_max value: 0.3539875530671406
- type: nauc_recall_at_10_std value: 26.85864465557644
- type: nauc_recall_at_1_diff1 value: 53.48238396620123
- type: nauc_recall_at_1_max value: 0.33476619393733076
- type: nauc_recall_at_1_std value: 8.906362219128463
- type: nauc_recall_at_20_diff1 value: 44.21928181266254
- type: nauc_recall_at_20_max value: -0.9198356057088594
- type: nauc_recall_at_20_std value: 31.484376992896784
- type: nauc_recall_at_3_diff1 value: 53.038093080990876
- type: nauc_recall_at_3_max value: -1.4170895916973003
- type: nauc_recall_at_3_std value: 21.890202855574497
- type: nauc_recall_at_5_diff1 value: 49.39742214825278
- type: nauc_recall_at_5_max value: 2.8412267611894517
- type: nauc_recall_at_5_std value: 18.01598921859512
- type: ndcg_at_1 value: 91.0
- type: ndcg_at_10 value: 85.206
- type: ndcg_at_100 value: 67.29
- type: ndcg_at_1000 value: 60.584
- type: ndcg_at_20 value: 82.321
- type: ndcg_at_3 value: 88.642
- type: ndcg_at_5 value: 87.063
- type: precision_at_1 value: 94.0
- type: precision_at_10 value: 89.8
- type: precision_at_100 value: 69.78
- type: precision_at_1000 value: 26.738
- type: precision_at_20 value: 87.2
- type: precision_at_3 value: 92.0
- type: precision_at_5 value: 90.8
- type: recall_at_1 value: 0.246
- type: recall_at_10 value: 2.344
- type: recall_at_100 value: 16.962
- type: recall_at_1000 value: 57.325
- type: recall_at_20 value: 4.517
- type: recall_at_3 value: 0.731
- type: recall_at_5 value: 1.1780000000000002 task: type: Retrieval
- dataset:
config: default
name: MTEB Touche2020
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
split: test
type: mteb/touche2020
metrics:
- type: main_score value: 31.455
- type: map_at_1 value: 2.9739999999999998
- type: map_at_10 value: 12.183
- type: map_at_100 value: 18.772
- type: map_at_1000 value: 20.415
- type: map_at_20 value: 14.451
- type: map_at_3 value: 6.507000000000001
- type: map_at_5 value: 8.66
- type: mrr_at_1 value: 40.816326530612244
- type: mrr_at_10 value: 57.70975056689341
- type: mrr_at_100 value: 58.18379126542391
- type: mrr_at_1000 value: 58.18379126542391
- type: mrr_at_20 value: 57.85552316164561
- type: mrr_at_3 value: 54.08163265306123
- type: mrr_at_5 value: 56.42857142857143
- type: nauc_map_at_1000_diff1 value: 3.1567471051481437
- type: nauc_map_at_1000_max value: -1.5882060729791523
- type: nauc_map_at_1000_std value: 18.69622198722074
- type: nauc_map_at_100_diff1 value: 3.3449677678147536
- type: nauc_map_at_100_max value: -2.8928606866168405
- type: nauc_map_at_100_std value: 15.789984947653412
- type: nauc_map_at_10_diff1 value: 2.9696743570444264
- type: nauc_map_at_10_max value: -9.096749212011876
- type: nauc_map_at_10_std value: -5.38545817258353
- type: nauc_map_at_1_diff1 value: 20.680780404542546
- type: nauc_map_at_1_max value: -7.04722927447817
- type: nauc_map_at_1_std value: -7.062494733973898
- type: nauc_map_at_20_diff1 value: 4.070437790119271
- type: nauc_map_at_20_max value: -4.84491434686032
- type: nauc_map_at_20_std value: 0.5846341109021014
- type: nauc_map_at_3_diff1 value: 11.9634978045925
- type: nauc_map_at_3_max value: -8.27834591046608
- type: nauc_map_at_3_std value: -8.687615453381065
- type: nauc_map_at_5_diff1 value: 0.9195191526009436
- type: nauc_map_at_5_max value: -1.673813362719489
- type: nauc_map_at_5_std value: -6.67549753473631
- type: nauc_mrr_at_1000_diff1 value: 19.877993208719573
- type: nauc_mrr_at_1000_max value: -10.37776706406218
- type: nauc_mrr_at_1000_std value: 7.132169578056367
- type: nauc_mrr_at_100_diff1 value: 19.877993208719573
- type: nauc_mrr_at_100_max value: -10.37776706406218
- type: nauc_mrr_at_100_std value: 7.132169578056367
- type: nauc_mrr_at_10_diff1 value: 20.414285568401457
- type: nauc_mrr_at_10_max value: -9.677800295687861
- type: nauc_mrr_at_10_std value: 8.001103690180859
- type: nauc_mrr_at_1_diff1 value: 22.393284073955723
- type: nauc_mrr_at_1_max value: -5.889370191243167
- type: nauc_mrr_at_1_std value: -1.5183536173658247
- type: nauc_mrr_at_20_diff1 value: 20.455564720604055
- type: nauc_mrr_at_20_max value: -10.230642830103074
- type: nauc_mrr_at_20_std value: 7.863582453266621
- type: nauc_mrr_at_3_diff1 value: 17.554895390732618
- type: nauc_mrr_at_3_max value: -15.618463505555052
- type: nauc_mrr_at_3_std value: 5.913231577966864
- type: nauc_mrr_at_5_diff1 value: 18.393678507779914
- type: nauc_mrr_at_5_max value: -11.903593353147762
- type: nauc_mrr_at_5_std value: 7.580745996262831
- type: nauc_ndcg_at_1000_diff1 value: 13.746937095530473
- type: nauc_ndcg_at_1000_max value: -0.9319249687895838
- type: nauc_ndcg_at_1000_std value: 38.56328031451904
- type: nauc_ndcg_at_100_diff1 value: 13.854865944415895
- type: nauc_ndcg_at_100_max value: -7.142142012591404
- type: nauc_ndcg_at_100_std value: 35.61341954818848
- type: nauc_ndcg_at_10_diff1 value: 9.010144273248759
- type: nauc_ndcg_at_10_max value: -15.320014897424574
- type: nauc_ndcg_at_10_std value: 2.84883880489144
- type: nauc_ndcg_at_1_diff1 value: 20.939533945592967
- type: nauc_ndcg_at_1_max value: -6.387319972188946
- type: nauc_ndcg_at_1_std value: -0.5258673122126726
- type: nauc_ndcg_at_20_diff1 value: 14.660827309009496
- type: nauc_ndcg_at_20_max value: -13.476196120145994
- type: nauc_ndcg_at_20_std value: 8.22391881710838
- type: nauc_ndcg_at_3_diff1 value: 13.429985227235935
- type: nauc_ndcg_at_3_max value: -14.904544592570247
- type: nauc_ndcg_at_3_std value: 1.599779998183342
- type: nauc_ndcg_at_5_diff1 value: 8.085466231900622
- type: nauc_ndcg_at_5_max value: -9.09591969526831
- type: nauc_ndcg_at_5_std value: 3.5794092637248505
- type: nauc_precision_at_1000_diff1 value: -9.31941215946743
- type: nauc_precision_at_1000_max value: 31.52913520470716
- type: nauc_precision_at_1000_std value: 22.720784312185856
- type: nauc_precision_at_100_diff1 value: 8.958548406995279
- type: nauc_precision_at_100_max value: 15.100597910674104
- type: nauc_precision_at_100_std value: 71.04548238175113
- type: nauc_precision_at_10_diff1 value: 12.4698194690008
- type: nauc_precision_at_10_max value: -15.84870544871496
- type: nauc_precision_at_10_std value: 7.575297622501928
- type: nauc_precision_at_1_diff1 value: 22.393284073955723
- type: nauc_precision_at_1_max value: -5.889370191243167
- type: nauc_precision_at_1_std value: -1.5183536173658247
- type: nauc_precision_at_20_diff1 value: 15.393505718138758
- type: nauc_precision_at_20_max value: -3.70684298539384
- type: nauc_precision_at_20_std value: 29.426137824970304
- type: nauc_precision_at_3_diff1 value: 9.997768085465394
- type: nauc_precision_at_3_max value: -17.12224314347674
- type: nauc_precision_at_3_std value: -1.343018166772313
- type: nauc_precision_at_5_diff1 value: 3.8936997437913554
- type: nauc_precision_at_5_max value: -5.689104289687632
- type: nauc_precision_at_5_std value: 3.181098051304285
- type: nauc_recall_at_1000_diff1 value: 9.908303508158387
- type: nauc_recall_at_1000_max value: 6.174506592699848
- type: nauc_recall_at_1000_std value: 77.41931114780012
- type: nauc_recall_at_100_diff1 value: 10.286839241876192
- type: nauc_recall_at_100_max value: -6.6138697026666815
- type: nauc_recall_at_100_std value: 49.608313692633224
- type: nauc_recall_at_10_diff1 value: 2.215545846659851
- type: nauc_recall_at_10_max value: -17.83025802478445
- type: nauc_recall_at_10_std value: -3.3784768673705465
- type: nauc_recall_at_1_diff1 value: 20.680780404542546
- type: nauc_recall_at_1_max value: -7.04722927447817
- type: nauc_recall_at_1_std value: -7.062494733973898
- type: nauc_recall_at_20_diff1 value: 6.974410239251615
- type: nauc_recall_at_20_max value: -14.161147924731646
- type: nauc_recall_at_20_std value: 9.328412057721454
- type: nauc_recall_at_3_diff1 value: 7.904589805754212
- type: nauc_recall_at_3_max value: -12.1912388648593
- type: nauc_recall_at_3_std value: -9.221542013385555
- type: nauc_recall_at_5_diff1 value: -3.2604132752706914
- type: nauc_recall_at_5_max value: -6.886351441658915
- type: nauc_recall_at_5_std value: -7.014252851712789
- type: ndcg_at_1 value: 39.796
- type: ndcg_at_10 value: 31.455
- type: ndcg_at_100 value: 42.388999999999996
- type: ndcg_at_1000 value: 53.556000000000004
- type: ndcg_at_20 value: 30.808000000000003
- type: ndcg_at_3 value: 35.831
- type: ndcg_at_5 value: 32.845
- type: precision_at_1 value: 40.816
- type: precision_at_10 value: 27.143
- type: precision_at_100 value: 8.449
- type: precision_at_1000 value: 1.6179999999999999
- type: precision_at_20 value: 19.387999999999998
- type: precision_at_3 value: 35.374
- type: precision_at_5 value: 31.019999999999996
- type: recall_at_1 value: 2.9739999999999998
- type: recall_at_10 value: 19.39
- type: recall_at_100 value: 51.636
- type: recall_at_1000 value: 86.99900000000001
- type: recall_at_20 value: 26.478
- type: recall_at_3 value: 7.703
- type: recall_at_5 value: 11.42 task: type: Retrieval
- dataset:
config: default
name: MTEB ToxicConversationsClassification
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
split: test
type: mteb/toxic_conversations_50k
metrics:
- type: accuracy value: 86.9384765625
- type: ap value: 31.737513704141552
- type: ap_weighted value: 31.737513704141552
- type: f1 value: 71.5490757306975
- type: f1_weighted value: 89.14632533489856
- type: main_score value: 86.9384765625 task: type: Classification
- dataset:
config: default
name: MTEB TweetSentimentExtractionClassification
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
split: test
type: mteb/tweet_sentiment_extraction
metrics:
- type: accuracy value: 73.57668364459535
- type: f1 value: 73.90467103648074
- type: f1_weighted value: 73.42158415034704
- type: main_score value: 73.57668364459535 task: type: Classification
- dataset:
config: default
name: MTEB TwentyNewsgroupsClustering
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
split: test
type: mteb/twentynewsgroups-clustering
metrics:
- type: main_score value: 58.574148097494685
- type: v_measure value: 58.574148097494685
- type: v_measure_std value: 0.9443161637490822 task: type: Clustering
- dataset:
config: default
name: MTEB TwitterSemEval2015
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
split: test
type: mteb/twittersemeval2015-pairclassification
metrics:
- type: cosine_accuracy value: 88.1385229778864
- type: cosine_accuracy_threshold value: 83.86307954788208
- type: cosine_ap value: 80.17965893449055
- type: cosine_f1 value: 73.0614300100705
- type: cosine_f1_threshold value: 80.7942807674408
- type: cosine_precision value: 69.8603755416466
- type: cosine_recall value: 76.56992084432717
- type: dot_accuracy value: 88.2100494724921
- type: dot_accuracy_threshold value: 83.84793996810913
- type: dot_ap value: 80.18603932881858
- type: dot_f1 value: 73.07643714466204
- type: dot_f1_threshold value: 80.87586164474487
- type: dot_precision value: 70.10909090909091
- type: dot_recall value: 76.3060686015831
- type: euclidean_accuracy value: 88.1385229778864
- type: euclidean_accuracy_threshold value: 56.77661895751953
- type: euclidean_ap value: 80.1784070881624
- type: euclidean_f1 value: 73.04830369529574
- type: euclidean_f1_threshold value: 61.91838979721069
- type: euclidean_precision value: 69.96859144720948
- type: euclidean_recall value: 76.41160949868075
- type: main_score value: 80.18603932881858
- type: manhattan_accuracy value: 88.0431543184121
- type: manhattan_accuracy_threshold value: 3755.6137084960938
- type: manhattan_ap value: 79.98270453664578
- type: manhattan_f1 value: 72.68242015061023
- type: manhattan_f1_threshold value: 3892.494583129883
- type: manhattan_precision value: 71.54907975460122
- type: manhattan_recall value: 73.85224274406332
- type: max_ap value: 80.18603932881858
- type: max_f1 value: 73.07643714466204
- type: max_precision value: 71.54907975460122
- type: max_recall value: 76.56992084432717
- type: similarity_accuracy value: 88.1385229778864
- type: similarity_accuracy_threshold value: 83.86307954788208
- type: similarity_ap value: 80.17965893449055
- type: similarity_f1 value: 73.0614300100705
- type: similarity_f1_threshold value: 80.7942807674408
- type: similarity_precision value: 69.8603755416466
- type: similarity_recall value: 76.56992084432717 task: type: PairClassification
- dataset:
config: default
name: MTEB TwitterURLCorpus
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
split: test
type: mteb/twitterurlcorpus-pairclassification
metrics:
- type: cosine_accuracy value: 89.7892653393876
- type: cosine_accuracy_threshold value: 79.69566583633423
- type: cosine_ap value: 87.4579867302024
- type: cosine_f1 value: 79.91620843152658
- type: cosine_f1_threshold value: 78.53609323501587
- type: cosine_precision value: 77.7155329210622
- type: cosine_recall value: 82.24514936864799
- type: dot_accuracy value: 89.78732487289945
- type: dot_accuracy_threshold value: 80.05315661430359
- type: dot_ap value: 87.44916182456272
- type: dot_f1 value: 79.90419878751591
- type: dot_f1_threshold value: 78.57890725135803
- type: dot_precision value: 77.73409057812728
- type: dot_recall value: 82.19895287958116
- type: euclidean_accuracy value: 89.78538440641131
- type: euclidean_accuracy_threshold value: 62.29925751686096
- type: euclidean_ap value: 87.45904868911386
- type: euclidean_f1 value: 79.93127404474657
- type: euclidean_f1_threshold value: 65.61101078987122
- type: euclidean_precision value: 77.62060210373595
- type: euclidean_recall value: 82.38373883584848
- type: main_score value: 87.46554314325058
- type: manhattan_accuracy value: 89.76597974152986
- type: manhattan_accuracy_threshold value: 3988.5299682617188
- type: manhattan_ap value: 87.46554314325058
- type: manhattan_f1 value: 79.97181740645973
- type: manhattan_f1_threshold value: 4235.905838012695
- type: manhattan_precision value: 77.13713427283783
- type: manhattan_recall value: 83.02279026793964
- type: max_ap value: 87.46554314325058
- type: max_f1 value: 79.97181740645973
- type: max_precision value: 77.73409057812728
- type: max_recall value: 83.02279026793964
- type: similarity_accuracy value: 89.7892653393876
- type: similarity_accuracy_threshold value: 79.69566583633423
- type: similarity_ap value: 87.4579867302024
- type: similarity_f1 value: 79.91620843152658
- type: similarity_f1_threshold value: 78.53609323501587
- type: similarity_precision value: 77.7155329210622
- type: similarity_recall value: 82.24514936864799 task: type: PairClassification tags:
- dataset:
config: en
name: MTEB AmazonCounterfactualClassification (en)
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
split: test
type: mteb/amazon_counterfactual
metrics:
- mteb
- sentence-transformers
- transformers
- sentence-similarity license: mit
Updates
Hi, everyone, thanks for using stella models. After six months of work, I trained the jasper model on top of the stella model, which is a multimodal model, and it can be ranked 2 in mteb (submitted the results on 2024-12-11, which may need official review https://github.com/embeddings-benchmark/results/pull/68).
Model link: https://huggingface.co/infgrad/jasper_en_vision_language_v1
I'll focus on the technical report, training data and related code, hopefully the tricks I've used will be of some help to you guys!
The core training code will be integrated into the rag-retrieval library(https://github.com/NLPJCL/RAG-Retrieval) in the near future. (Welcome to star)
This work was accomplished during my free time, it's a personal hobby. One person's time and energy is limited, and you are welcome to make any contributions!
You can also find these models on my homepage.
Introduction
The models are trained based on Alibaba-NLP/gte-large-en-v1.5 and Alibaba-NLP/gte-Qwen2-1.5B-instruct. Thanks for
their contributions!
We simplify usage of prompts, providing two prompts for most general tasks, one is for s2p, another one is for s2s.
Prompt of s2p task(e.g. retrieve task):
Instruct: Given a web search query, retrieve relevant passages that answer the query.\nQuery: {query}
Prompt of s2s task(e.g. semantic textual similarity task):
Instruct: Retrieve semantically similar text.\nQuery: {query}
The models are finally trained by MRL, so they have multiple dimensions: 512, 768, 1024, 2048, 4096, 6144 and 8192.
The higher the dimension, the better the performance. Generally speaking, 1024d is good enough. The MTEB score of 1024d is only 0.001 lower than 8192d.
Model directory structure
The model directory structure is very simple, it is a standard SentenceTransformer directory with a series
of 2_Dense_{dims}
folders, where dims represents the final vector dimension.
For example, the 2_Dense_256 folder stores Linear weights that convert vector dimensions to 256 dimensions.
Please refer to the following chapters for specific instructions on how to use them.
Usage
You can use SentenceTransformers or transformers library to encode text.
Sentence Transformers
from sentence_transformers import SentenceTransformer
# This model supports two prompts: "s2p_query" and "s2s_query" for sentence-to-passage and sentence-to-sentence tasks, respectively.
# They are defined in `config_sentence_transformers.json`
query_prompt_name = "s2p_query"
queries = [
"What are some ways to reduce stress?",
"What are the benefits of drinking green tea?",
]
# docs do not need any prompts
docs = [
"There are many effective ways to reduce stress. Some common techniques include deep breathing, meditation, and physical activity. Engaging in hobbies, spending time in nature, and connecting with loved ones can also help alleviate stress. Additionally, setting boundaries, practicing self-care, and learning to say no can prevent stress from building up.",
"Green tea has been consumed for centuries and is known for its potential health benefits. It contains antioxidants that may help protect the body against damage caused by free radicals. Regular consumption of green tea has been associated with improved heart health, enhanced cognitive function, and a reduced risk of certain types of cancer. The polyphenols in green tea may also have anti-inflammatory and weight loss properties.",
]
# ！The default dimension is 1024, if you need other dimensions, please clone the model and modify `modules.json` to replace `2_Dense_1024` with another dimension, e.g. `2_Dense_256` or `2_Dense_8192` !
# on gpu
model = SentenceTransformer("dunzhang/stella_en_400M_v5", trust_remote_code=True).cuda()
# you can also use this model without the features of `use_memory_efficient_attention` and `unpad_inputs`. It can be worked in CPU.
# model = SentenceTransformer(
# "dunzhang/stella_en_400M_v5",
# trust_remote_code=True,
# device="cpu",
# config_kwargs={"use_memory_efficient_attention": False, "unpad_inputs": False}
# )
query_embeddings = model.encode(queries, prompt_name=query_prompt_name)
doc_embeddings = model.encode(docs)
print(query_embeddings.shape, doc_embeddings.shape)
# (2, 1024) (2, 1024)
similarities = model.similarity(query_embeddings, doc_embeddings)
print(similarities)
# tensor([[0.8398, 0.2990],
# [0.3282, 0.8095]])
Transformers
import os
import torch
from transformers import AutoModel, AutoTokenizer
from sklearn.preprocessing import normalize
query_prompt = "Instruct: Given a web search query, retrieve relevant passages that answer the query.\nQuery: "
queries = [
"What are some ways to reduce stress?",
"What are the benefits of drinking green tea?",
]
queries = [query_prompt + query for query in queries]
# docs do not need any prompts
docs = [
"There are many effective ways to reduce stress. Some common techniques include deep breathing, meditation, and physical activity. Engaging in hobbies, spending time in nature, and connecting with loved ones can also help alleviate stress. Additionally, setting boundaries, practicing self-care, and learning to say no can prevent stress from building up.",
"Green tea has been consumed for centuries and is known for its potential health benefits. It contains antioxidants that may help protect the body against damage caused by free radicals. Regular consumption of green tea has been associated with improved heart health, enhanced cognitive function, and a reduced risk of certain types of cancer. The polyphenols in green tea may also have anti-inflammatory and weight loss properties.",
]
# The path of your model after cloning it
model_dir = "{Your MODEL_PATH}"
vector_dim = 1024
vector_linear_directory = f"2_Dense_{vector_dim}"
model = AutoModel.from_pretrained(model_dir, trust_remote_code=True).cuda().eval()
# you can also use this model without the features of `use_memory_efficient_attention` and `unpad_inputs`. It can be worked in CPU.
# model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,use_memory_efficient_attention=False,unpad_inputs=False).cuda().eval()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
vector_linear = torch.nn.Linear(in_features=model.config.hidden_size, out_features=vector_dim)
vector_linear_dict = {
k.replace("linear.", ""): v for k, v in
torch.load(os.path.join(model_dir, f"{vector_linear_directory}/pytorch_model.bin")).items()
}
vector_linear.load_state_dict(vector_linear_dict)
vector_linear.cuda()
# Embed the queries
with torch.no_grad():
input_data = tokenizer(queries, padding="longest", truncation=True, max_length=512, return_tensors="pt")
input_data = {k: v.cuda() for k, v in input_data.items()}
attention_mask = input_data["attention_mask"]
last_hidden_state = model(**input_data)[0]
last_hidden = last_hidden_state.masked_fill(~attention_mask[..., None].bool(), 0.0)
query_vectors = last_hidden.sum(dim=1) / attention_mask.sum(dim=1)[..., None]
query_vectors = normalize(vector_linear(query_vectors).cpu().numpy())
# Embed the documents
with torch.no_grad():
input_data = tokenizer(docs, padding="longest", truncation=True, max_length=512, return_tensors="pt")
input_data = {k: v.cuda() for k, v in input_data.items()}
attention_mask = input_data["attention_mask"]
last_hidden_state = model(**input_data)[0]
last_hidden = last_hidden_state.masked_fill(~attention_mask[..., None].bool(), 0.0)
docs_vectors = last_hidden.sum(dim=1) / attention_mask.sum(dim=1)[..., None]
docs_vectors = normalize(vector_linear(docs_vectors).cpu().numpy())
print(query_vectors.shape, docs_vectors.shape)
# (2, 1024) (2, 1024)
similarities = query_vectors @ docs_vectors.T
print(similarities)
# [[0.8397531 0.29900077]
# [0.32818374 0.80954516]]
infinity_emb
Usage via infinity, MIT Licensed.
docker run \
--gpus all -p "7997":"7997" \
michaelf34/infinity:0.0.69 \
v2 --model-id dunzhang/stella_en_400M_v5 --revision "refs/pr/24" --dtype bfloat16 --batch-size 16 --device cuda --engine torch --port 7997 --no-bettertransformer
FAQ
Q: The details of training?
A: The training method and datasets will be released in the future. (specific time unknown, may be provided in a paper)
Q: How to choose a suitable prompt for my own task?
A: In most cases, please use the s2p and s2s prompts. These two prompts account for the vast majority of the training data.
Q: How to reproduce MTEB results?
A: Please use evaluation scripts in Alibaba-NLP/gte-Qwen2-1.5B-instruct or intfloat/e5-mistral-7b-instruct
Q: Why each dimension has a linear weight?
A: MRL has multiple training methods, we choose this method which has the best performance.
Q: What is the sequence length of models?
A: 512 is recommended, in our experiments, almost all models perform poorly on specialized long text retrieval datasets. Besides, the model is trained on datasets of 512 length. This may be an optimization term.
If you have any questions, please start a discussion on community.
Phi 2 GGUF
その他
Phi-2はマイクロソフトが開発した小型ながら強力な言語モデルで、27億のパラメータを持ち、効率的な推論と高品質なテキスト生成に特化しています。
大規模言語モデル 複数言語対応
P
TheBloke
41.5M
205
Roberta Large
MIT
マスク言語モデリングの目標で事前学習された大型英語言語モデルで、改良されたBERTの学習方法を採用しています。
大規模言語モデル 英語
R
FacebookAI
19.4M
212
Distilbert Base Uncased
Apache-2.0
DistilBERTはBERT基礎モデルの蒸留バージョンで、同等の性能を維持しながら、より軽量で高効率です。シーケンス分類、タグ分類などの自然言語処理タスクに適しています。
大規模言語モデル 英語
D
distilbert
11.1M
669
Llama 3.1 8B Instruct GGUF
Meta Llama 3.1 8B Instructは多言語大規模言語モデルで、多言語対話ユースケースに最適化されており、一般的な業界ベンチマークで優れた性能を発揮します。
大規模言語モデル 英語
L
modularai
9.7M
4
Xlm Roberta Base
MIT
XLM - RoBERTaは、100言語の2.5TBのフィルタリングされたCommonCrawlデータを使って事前学習された多言語モデルで、マスク言語モデリングの目標で学習されています。
大規模言語モデル 複数言語対応
X
FacebookAI
9.6M
664
Roberta Base
MIT
Transformerアーキテクチャに基づく英語の事前学習モデルで、マスク言語モデリングの目標を通じて大量のテキストでトレーニングされ、テキスト特徴抽出と下流タスクの微調整をサポートします。
大規模言語モデル 英語
R
FacebookAI
9.3M
488
Opt 125m
その他
OPTはMeta AIが公開したオープンプリトレーニングトランスフォーマー言語モデルスイートで、パラメータ数は1.25億から1750億まであり、GPT-3シリーズの性能に対抗することを目指しつつ、大規模言語モデルのオープンな研究を促進するものです。
大規模言語モデル 英語
O
facebook
6.3M
198
1
transformersライブラリに基づく事前学習モデルで、様々なNLPタスクに適用可能
大規模言語モデル
Transformers
Transformers1
unslothai
6.2M
1
Llama 3.1 8B Instruct
Llama 3.1はMetaが発表した多言語大規模言語モデルシリーズで、8B、70B、405Bのパラメータ規模を持ち、8種類の言語とコード生成をサポートし、多言語対話シーンを最適化しています。
大規模言語モデル Transformers 複数言語対応
Transformers 複数言語対応L
meta-llama
5.7M
3,898
T5 Base
Apache-2.0
T5ベーシック版はGoogleによって開発されたテキスト-to-テキスト変換Transformerモデルで、パラメータ規模は2.2億で、多言語NLPタスクをサポートしています。
大規模言語モデル 複数言語対応
T
google-t5
5.4M
702
おすすめAIモデル
Llama 3 Typhoon V1.5x 8b Instruct
タイ語専用に設計された80億パラメータの命令モデルで、GPT-3.5-turboに匹敵する性能を持ち、アプリケーションシナリオ、検索拡張生成、制限付き生成、推論タスクを最適化
大規模言語モデル Transformers 複数言語対応
Transformers 複数言語対応L
scb10x
3,269
16
Cadet Tiny
Openrail
Cadet-TinyはSODAデータセットでトレーニングされた超小型対話モデルで、エッジデバイス推論向けに設計されており、体積はCosmo-3Bモデルの約2％です。
対話システム Transformers 英語
Transformers 英語C
ToddGoldfarb
2,691
6
Roberta Base Chinese Extractive Qa
RoBERTaアーキテクチャに基づく中国語抽出型QAモデルで、与えられたテキストから回答を抽出するタスクに適しています。
質問応答システム 中国語
R
uer
2,694
98