Model: avsolatorio/60-600-13-1-4-2-0-0-384-512-cm_NOI_avsolatorio_GIST-all-MiniLM-L6-v2-20240511173541-best
Author: avsolatorio
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, feature-extraction, mteb, sentence-similarity, en, arxiv:2402.16829, arxiv:2212.09741, license:mit, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: language: en
library_name: sentence-transformers
license: mit
pipeline_tag: sentence-similarity
tags: feature-extraction, mteb, sentence-similarity, sentence-transformers
model-index: name: GIST-all-MiniLM-L6-v2
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 72.8955223880597
verified: no, type: ap
value: 35.447605103320775
verified: no, type: f1
value: 66.82951715365854
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 87.19474999999998
verified: no, type: ap
value: 83.09577890808514
verified: no, type: f1
value: 87.13833121762009
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 42.556000000000004
verified: no, type: f1
value: 42.236256693772276
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.884999999999998
verified: no, type: map_at_10
value: 42.364000000000004
verified: no, type: map_at_100
value: 43.382
verified: no, type: map_at_1000
value: 43.391000000000005
verified: no, type: map_at_3
value: 37.162
verified: no, type: map_at_5
value: 40.139
verified: no, type: mrr_at_1
value: 26.884999999999998
verified: no, type: mrr_at_10
value: 42.193999999999996
verified: no, type: mrr_at_100
value: 43.211
verified: no, type: mrr_at_1000
value: 43.221
verified: no, type: mrr_at_3
value: 36.949
verified: no, type: mrr_at_5
value: 40.004
verified: no, type: ndcg_at_1
value: 26.884999999999998
verified: no, type: ndcg_at_10
value: 51.254999999999995
verified: no, type: ndcg_at_100
value: 55.481
verified: no, type: ndcg_at_1000
value: 55.68300000000001
verified: no, type: ndcg_at_3
value: 40.565
verified: no, type: ndcg_at_5
value: 45.882
verified: no, type: precision_at_1
value: 26.884999999999998
verified: no, type: precision_at_10
value: 7.9799999999999995
verified: no, type: precision_at_100
value: 0.98
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 16.808999999999997
verified: no, type: precision_at_5
value: 12.645999999999999
verified: no, type: recall_at_1
value: 26.884999999999998
verified: no, type: recall_at_10
value: 79.801
verified: no, type: recall_at_100
value: 98.009
verified: no, type: recall_at_1000
value: 99.502
verified: no, type: recall_at_3
value: 50.427
verified: no, type: recall_at_5
value: 63.229
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics: type: v_measure
value: 45.31044837358167
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics: type: v_measure
value: 35.44751738734691
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 62.96517580629869
verified: no, type: mrr
value: 76.30051004704744
verified: no, task: type: STS
dataset: type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics: type: cos_sim_pearson
value: 83.97262600499639
verified: no, type: cos_sim_spearman
value: 81.25787561220484
verified: no, type: euclidean_pearson
value: 64.96260261677082
verified: no, type: euclidean_spearman
value: 64.17616109254686
verified: no, type: manhattan_pearson
value: 65.05620628102835
verified: no, type: manhattan_spearman
value: 64.71171546419122
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 84.2435064935065
verified: no, type: f1
value: 84.2334859253828
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics: type: v_measure
value: 38.38358435972693
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics: type: v_measure
value: 31.093619653843124
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 35.016999999999996
verified: no, type: map_at_10
value: 47.019
verified: no, type: map_at_100
value: 48.634
verified: no, type: map_at_1000
value: 48.757
verified: no, type: map_at_3
value: 43.372
verified: no, type: map_at_5
value: 45.314
verified: no, type: mrr_at_1
value: 43.491
verified: no, type: mrr_at_10
value: 53.284
verified: no, type: mrr_at_100
value: 54.038
verified: no, type: mrr_at_1000
value: 54.071000000000005
verified: no, type: mrr_at_3
value: 51.001
verified: no, type: mrr_at_5
value: 52.282
verified: no, type: ndcg_at_1
value: 43.491
verified: no, type: ndcg_at_10
value: 53.498999999999995
verified: no, type: ndcg_at_100
value: 58.733999999999995
verified: no, type: ndcg_at_1000
value: 60.307
verified: no, type: ndcg_at_3
value: 48.841
verified: no, type: ndcg_at_5
value: 50.76199999999999
verified: no, type: precision_at_1
value: 43.491
verified: no, type: precision_at_10
value: 10.315000000000001
verified: no, type: precision_at_100
value: 1.6209999999999998
verified: no, type: precision_at_1000
value: 0.20500000000000002
verified: no, type: precision_at_3
value: 23.462
verified: no, type: precision_at_5
value: 16.652
verified: no, type: recall_at_1
value: 35.016999999999996
verified: no, type: recall_at_10
value: 64.92
verified: no, type: recall_at_100
value: 86.605
verified: no, type: recall_at_1000
value: 96.174
verified: no, type: recall_at_3
value: 50.99
verified: no, type: recall_at_5
value: 56.93
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 29.866
verified: no, type: map_at_10
value: 40.438
verified: no, type: map_at_100
value: 41.77
verified: no, type: map_at_1000
value: 41.913
verified: no, type: map_at_3
value: 37.634
verified: no, type: map_at_5
value: 39.226
verified: no, type: mrr_at_1
value: 37.834
verified: no, type: mrr_at_10
value: 46.765
verified: no, type: mrr_at_100
value: 47.410000000000004
verified: no, type: mrr_at_1000
value: 47.461
verified: no, type: mrr_at_3
value: 44.735
verified: no, type: mrr_at_5
value: 46.028000000000006
verified: no, type: ndcg_at_1
value: 37.834
verified: no, type: ndcg_at_10
value: 46.303
verified: no, type: ndcg_at_100
value: 50.879
verified: no, type: ndcg_at_1000
value: 53.112
verified: no, type: ndcg_at_3
value: 42.601
verified: no, type: ndcg_at_5
value: 44.384
verified: no, type: precision_at_1
value: 37.834
verified: no, type: precision_at_10
value: 8.898
verified: no, type: precision_at_100
value: 1.4409999999999998
verified: no, type: precision_at_1000
value: 0.19499999999999998
verified: no, type: precision_at_3
value: 20.977
verified: no, type: precision_at_5
value: 14.841
verified: no, type: recall_at_1
value: 29.866
verified: no, type: recall_at_10
value: 56.06100000000001
verified: no, type: recall_at_100
value: 75.809
verified: no, type: recall_at_1000
value: 89.875
verified: no, type: recall_at_3
value: 44.707
verified: no, type: recall_at_5
value: 49.846000000000004
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 38.985
verified: no, type: map_at_10
value: 51.165000000000006
verified: no, type: map_at_100
value: 52.17
verified: no, type: map_at_1000
value: 52.229000000000006
verified: no, type: map_at_3
value: 48.089999999999996
verified: no, type: map_at_5
value: 49.762
verified: no, type: mrr_at_1
value: 44.577
verified: no, type: mrr_at_10
value: 54.493
verified: no, type: mrr_at_100
value: 55.137
verified: no, type: mrr_at_1000
value: 55.167
verified: no, type: mrr_at_3
value: 52.079
verified: no, type: mrr_at_5
value: 53.518
verified: no, type: ndcg_at_1
value: 44.577
verified: no, type: ndcg_at_10
value: 56.825
verified: no, type: ndcg_at_100
value: 60.842
verified: no, type: ndcg_at_1000
value: 62.015
verified: no, type: ndcg_at_3
value: 51.699
verified: no, type: ndcg_at_5
value: 54.11
verified: no, type: precision_at_1
value: 44.577
verified: no, type: precision_at_10
value: 9.11
verified: no, type: precision_at_100
value: 1.206
verified: no, type: precision_at_1000
value: 0.135
verified: no, type: precision_at_3
value: 23.156
verified: no, type: precision_at_5
value: 15.737000000000002
verified: no, type: recall_at_1
value: 38.985
verified: no, type: recall_at_10
value: 70.164
verified: no, type: recall_at_100
value: 87.708
verified: no, type: recall_at_1000
value: 95.979
verified: no, type: recall_at_3
value: 56.285
verified: no, type: recall_at_5
value: 62.303
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 28.137
verified: no, type: map_at_10
value: 36.729
verified: no, type: map_at_100
value: 37.851
verified: no, type: map_at_1000
value: 37.932
verified: no, type: map_at_3
value: 34.074
verified: no, type: map_at_5
value: 35.398
verified: no, type: mrr_at_1
value: 30.621
verified: no, type: mrr_at_10
value: 39.007
verified: no, type: mrr_at_100
value: 39.961
verified: no, type: mrr_at_1000
value: 40.02
verified: no, type: mrr_at_3
value: 36.591
verified: no, type: mrr_at_5
value: 37.806
verified: no, type: ndcg_at_1
value: 30.621
verified: no, type: ndcg_at_10
value: 41.772
verified: no, type: ndcg_at_100
value: 47.181
verified: no, type: ndcg_at_1000
value: 49.053999999999995
verified: no, type: ndcg_at_3
value: 36.577
verified: no, type: ndcg_at_5
value: 38.777
verified: no, type: precision_at_1
value: 30.621
verified: no, type: precision_at_10
value: 6.372999999999999
verified: no, type: precision_at_100
value: 0.955
verified: no, type: precision_at_1000
value: 0.11499999999999999
verified: no, type: precision_at_3
value: 15.367
verified: no, type: precision_at_5
value: 10.531
verified: no, type: recall_at_1
value: 28.137
verified: no, type: recall_at_10
value: 55.162
verified: no, type: recall_at_100
value: 79.931
verified: no, type: recall_at_1000
value: 93.67
verified: no, type: recall_at_3
value: 41.057
verified: no, type: recall_at_5
value: 46.327
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 16.798
verified: no, type: map_at_10
value: 25.267
verified: no, type: map_at_100
value: 26.579000000000004
verified: no, type: map_at_1000
value: 26.697
verified: no, type: map_at_3
value: 22.456
verified: no, type: map_at_5
value: 23.912
verified: no, type: mrr_at_1
value: 20.771
verified: no, type: mrr_at_10
value: 29.843999999999998
verified: no, type: mrr_at_100
value: 30.849
verified: no, type: mrr_at_1000
value: 30.916
verified: no, type: mrr_at_3
value: 27.156000000000002
verified: no, type: mrr_at_5
value: 28.518
verified: no, type: ndcg_at_1
value: 20.771
verified: no, type: ndcg_at_10
value: 30.792
verified: no, type: ndcg_at_100
value: 36.945
verified: no, type: ndcg_at_1000
value: 39.619
verified: no, type: ndcg_at_3
value: 25.52
verified: no, type: ndcg_at_5
value: 27.776
verified: no, type: precision_at_1
value: 20.771
verified: no, type: precision_at_10
value: 5.734
verified: no, type: precision_at_100
value: 1.031
verified: no, type: precision_at_1000
value: 0.13899999999999998
verified: no, type: precision_at_3
value: 12.148
verified: no, type: precision_at_5
value: 9.055
verified: no, type: recall_at_1
value: 16.798
verified: no, type: recall_at_10
value: 43.332
verified: no, type: recall_at_100
value: 70.016
verified: no, type: recall_at_1000
value: 88.90400000000001
verified: no, type: recall_at_3
value: 28.842000000000002
verified: no, type: recall_at_5
value: 34.37
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 31.180000000000003
verified: no, type: map_at_10
value: 41.78
verified: no, type: map_at_100
value: 43.102000000000004
verified: no, type: map_at_1000
value: 43.222
verified: no, type: map_at_3
value: 38.505
verified: no, type: map_at_5
value: 40.443
verified: no, type: mrr_at_1
value: 37.824999999999996
verified: no, type: mrr_at_10
value: 47.481
verified: no, type: mrr_at_100
value: 48.268
verified: no, type: mrr_at_1000
value: 48.313
verified: no, type: mrr_at_3
value: 44.946999999999996
verified: no, type: mrr_at_5
value: 46.492
verified: no, type: ndcg_at_1
value: 37.824999999999996
verified: no, type: ndcg_at_10
value: 47.827
verified: no, type: ndcg_at_100
value: 53.407000000000004
verified: no, type: ndcg_at_1000
value: 55.321
verified: no, type: ndcg_at_3
value: 42.815
verified: no, type: ndcg_at_5
value: 45.363
verified: no, type: precision_at_1
value: 37.824999999999996
verified: no, type: precision_at_10
value: 8.652999999999999
verified: no, type: precision_at_100
value: 1.354
verified: no, type: precision_at_1000
value: 0.172
verified: no, type: precision_at_3
value: 20.372
verified: no, type: precision_at_5
value: 14.591000000000001
verified: no, type: recall_at_1
value: 31.180000000000003
verified: no, type: recall_at_10
value: 59.894000000000005
verified: no, type: recall_at_100
value: 83.722
verified: no, type: recall_at_1000
value: 95.705
verified: no, type: recall_at_3
value: 45.824
verified: no, type: recall_at_5
value: 52.349999999999994
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.66
verified: no, type: map_at_10
value: 34.141
verified: no, type: map_at_100
value: 35.478
verified: no, type: map_at_1000
value: 35.594
verified: no, type: map_at_3
value: 30.446
verified: no, type: map_at_5
value: 32.583
verified: no, type: mrr_at_1
value: 29.909000000000002
verified: no, type: mrr_at_10
value: 38.949
verified: no, type: mrr_at_100
value: 39.803
verified: no, type: mrr_at_1000
value: 39.867999999999995
verified: no, type: mrr_at_3
value: 35.921
verified: no, type: mrr_at_5
value: 37.753
verified: no, type: ndcg_at_1
value: 29.909000000000002
verified: no, type: ndcg_at_10
value: 40.012
verified: no, type: ndcg_at_100
value: 45.707
verified: no, type: ndcg_at_1000
value: 48.15
verified: no, type: ndcg_at_3
value: 34.015
verified: no, type: ndcg_at_5
value: 37.002
verified: no, type: precision_at_1
value: 29.909000000000002
verified: no, type: precision_at_10
value: 7.693999999999999
verified: no, type: precision_at_100
value: 1.2229999999999999
verified: no, type: precision_at_1000
value: 0.16
verified: no, type: precision_at_3
value: 16.323999999999998
verified: no, type: precision_at_5
value: 12.306000000000001
verified: no, type: recall_at_1
value: 24.66
verified: no, type: recall_at_10
value: 52.478
verified: no, type: recall_at_100
value: 77.051
verified: no, type: recall_at_1000
value: 93.872
verified: no, type: recall_at_3
value: 36.382999999999996
verified: no, type: recall_at_5
value: 43.903999999999996
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.768416666666667
verified: no, type: map_at_10
value: 36.2485
verified: no, type: map_at_100
value: 37.520833333333336
verified: no, type: map_at_1000
value: 37.64033333333334
verified: no, type: map_at_3
value: 33.25791666666667
verified: no, type: map_at_5
value: 34.877250000000004
verified: no, type: mrr_at_1
value: 31.65408333333334
verified: no, type: mrr_at_10
value: 40.43866666666667
verified: no, type: mrr_at_100
value: 41.301249999999996
verified: no, type: mrr_at_1000
value: 41.357499999999995
verified: no, type: mrr_at_3
value: 37.938916666666664
verified: no, type: mrr_at_5
value: 39.35183333333334
verified: no, type: ndcg_at_1
value: 31.65408333333334
verified: no, type: ndcg_at_10
value: 41.76983333333334
verified: no, type: ndcg_at_100
value: 47.138
verified: no, type: ndcg_at_1000
value: 49.33816666666667
verified: no, type: ndcg_at_3
value: 36.76683333333333
verified: no, type: ndcg_at_5
value: 39.04441666666666
verified: no, type: precision_at_1
value: 31.65408333333334
verified: no, type: precision_at_10
value: 7.396249999999998
verified: no, type: precision_at_100
value: 1.1974166666666666
verified: no, type: precision_at_1000
value: 0.15791666666666668
verified: no, type: precision_at_3
value: 16.955583333333333
verified: no, type: precision_at_5
value: 12.09925
verified: no, type: recall_at_1
value: 26.768416666666667
verified: no, type: recall_at_10
value: 53.82366666666667
verified: no, type: recall_at_100
value: 77.39600000000002
verified: no, type: recall_at_1000
value: 92.46300000000001
verified: no, type: recall_at_3
value: 39.90166666666667
verified: no, type: recall_at_5
value: 45.754000000000005
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.369
verified: no, type: map_at_10
value: 32.025
verified: no, type: map_at_100
value: 33.08
verified: no, type: map_at_1000
value: 33.169
verified: no, type: map_at_3
value: 29.589
verified: no, type: map_at_5
value: 30.894
verified: no, type: mrr_at_1
value: 27.301
verified: no, type: mrr_at_10
value: 34.64
verified: no, type: mrr_at_100
value: 35.556
verified: no, type: mrr_at_1000
value: 35.616
verified: no, type: mrr_at_3
value: 32.515
verified: no, type: mrr_at_5
value: 33.666000000000004
verified: no, type: ndcg_at_1
value: 27.301
verified: no, type: ndcg_at_10
value: 36.386
verified: no, type: ndcg_at_100
value: 41.598
verified: no, type: ndcg_at_1000
value: 43.864999999999995
verified: no, type: ndcg_at_3
value: 32.07
verified: no, type: ndcg_at_5
value: 34.028999999999996
verified: no, type: precision_at_1
value: 27.301
verified: no, type: precision_at_10
value: 5.782
verified: no, type: precision_at_100
value: 0.923
verified: no, type: precision_at_1000
value: 0.11900000000000001
verified: no, type: precision_at_3
value: 13.804
verified: no, type: precision_at_5
value: 9.693
verified: no, type: recall_at_1
value: 24.369
verified: no, type: recall_at_10
value: 47.026
verified: no, type: recall_at_100
value: 70.76400000000001
verified: no, type: recall_at_1000
value: 87.705
verified: no, type: recall_at_3
value: 35.366
verified: no, type: recall_at_5
value: 40.077
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 17.878
verified: no, type: map_at_10
value: 25.582
verified: no, type: map_at_100
value: 26.848
verified: no, type: map_at_1000
value: 26.985
verified: no, type: map_at_3
value: 22.997
verified: no, type: map_at_5
value: 24.487000000000002
verified: no, type: mrr_at_1
value: 22.023
verified: no, type: mrr_at_10
value: 29.615000000000002
verified: no, type: mrr_at_100
value: 30.656
verified: no, type: mrr_at_1000
value: 30.737
verified: no, type: mrr_at_3
value: 27.322999999999997
verified: no, type: mrr_at_5
value: 28.665000000000003
verified: no, type: ndcg_at_1
value: 22.023
verified: no, type: ndcg_at_10
value: 30.476999999999997
verified: no, type: ndcg_at_100
value: 36.258
verified: no, type: ndcg_at_1000
value: 39.287
verified: no, type: ndcg_at_3
value: 25.995
verified: no, type: ndcg_at_5
value: 28.174
verified: no, type: precision_at_1
value: 22.023
verified: no, type: precision_at_10
value: 5.657
verified: no, type: precision_at_100
value: 1.01
verified: no, type: precision_at_1000
value: 0.145
verified: no, type: precision_at_3
value: 12.491
verified: no, type: precision_at_5
value: 9.112
verified: no, type: recall_at_1
value: 17.878
verified: no, type: recall_at_10
value: 41.155
verified: no, type: recall_at_100
value: 66.62599999999999
verified: no, type: recall_at_1000
value: 88.08200000000001
verified: no, type: recall_at_3
value: 28.505000000000003
verified: no, type: recall_at_5
value: 34.284
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.369999999999997
verified: no, type: map_at_10
value: 36.115
verified: no, type: map_at_100
value: 37.346000000000004
verified: no, type: map_at_1000
value: 37.449
verified: no, type: map_at_3
value: 32.976
verified: no, type: map_at_5
value: 34.782000000000004
verified: no, type: mrr_at_1
value: 30.784
verified: no, type: mrr_at_10
value: 40.014
verified: no, type: mrr_at_100
value: 40.913
verified: no, type: mrr_at_1000
value: 40.967999999999996
verified: no, type: mrr_at_3
value: 37.205
verified: no, type: mrr_at_5
value: 38.995999999999995
verified: no, type: ndcg_at_1
value: 30.784
verified: no, type: ndcg_at_10
value: 41.797000000000004
verified: no, type: ndcg_at_100
value: 47.355000000000004
verified: no, type: ndcg_at_1000
value: 49.535000000000004
verified: no, type: ndcg_at_3
value: 36.29
verified: no, type: ndcg_at_5
value: 39.051
verified: no, type: precision_at_1
value: 30.784
verified: no, type: precision_at_10
value: 7.164
verified: no, type: precision_at_100
value: 1.122
verified: no, type: precision_at_1000
value: 0.14200000000000002
verified: no, type: precision_at_3
value: 16.636
verified: no, type: precision_at_5
value: 11.996
verified: no, type: recall_at_1
value: 26.369999999999997
verified: no, type: recall_at_10
value: 55.010000000000005
verified: no, type: recall_at_100
value: 79.105
verified: no, type: recall_at_1000
value: 94.053
verified: no, type: recall_at_3
value: 40.139
verified: no, type: recall_at_5
value: 47.089
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.421
verified: no, type: map_at_10
value: 35.253
verified: no, type: map_at_100
value: 36.97
verified: no, type: map_at_1000
value: 37.195
verified: no, type: map_at_3
value: 32.068000000000005
verified: no, type: map_at_5
value: 33.763
verified: no, type: mrr_at_1
value: 31.423000000000002
verified: no, type: mrr_at_10
value: 39.995999999999995
verified: no, type: mrr_at_100
value: 40.977999999999994
verified: no, type: mrr_at_1000
value: 41.024
verified: no, type: mrr_at_3
value: 36.989
verified: no, type: mrr_at_5
value: 38.629999999999995
verified: no, type: ndcg_at_1
value: 31.423000000000002
verified: no, type: ndcg_at_10
value: 41.382000000000005
verified: no, type: ndcg_at_100
value: 47.532000000000004
verified: no, type: ndcg_at_1000
value: 49.829
verified: no, type: ndcg_at_3
value: 35.809000000000005
verified: no, type: ndcg_at_5
value: 38.308
verified: no, type: precision_at_1
value: 31.423000000000002
verified: no, type: precision_at_10
value: 7.885000000000001
verified: no, type: precision_at_100
value: 1.609
verified: no, type: precision_at_1000
value: 0.246
verified: no, type: precision_at_3
value: 16.469
verified: no, type: precision_at_5
value: 12.174
verified: no, type: recall_at_1
value: 26.421
verified: no, type: recall_at_10
value: 53.618
verified: no, type: recall_at_100
value: 80.456
verified: no, type: recall_at_1000
value: 94.505
verified: no, type: recall_at_3
value: 37.894
verified: no, type: recall_at_5
value: 44.352999999999994
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 21.54
verified: no, type: map_at_10
value: 29.468
verified: no, type: map_at_100
value: 30.422
verified: no, type: map_at_1000
value: 30.542
verified: no, type: map_at_3
value: 26.888
verified: no, type: map_at_5
value: 27.962999999999997
verified: no, type: mrr_at_1
value: 23.29
verified: no, type: mrr_at_10
value: 31.176
verified: no, type: mrr_at_100
value: 32.046
verified: no, type: mrr_at_1000
value: 32.129000000000005
verified: no, type: mrr_at_3
value: 28.804999999999996
verified: no, type: mrr_at_5
value: 29.868
verified: no, type: ndcg_at_1
value: 23.29
verified: no, type: ndcg_at_10
value: 34.166000000000004
verified: no, type: ndcg_at_100
value: 39.217999999999996
verified: no, type: ndcg_at_1000
value: 41.964
verified: no, type: ndcg_at_3
value: 28.970000000000002
verified: no, type: ndcg_at_5
value: 30.797
verified: no, type: precision_at_1
value: 23.29
verified: no, type: precision_at_10
value: 5.489999999999999
verified: no, type: precision_at_100
value: 0.874
verified: no, type: precision_at_1000
value: 0.122
verified: no, type: precision_at_3
value: 12.261
verified: no, type: precision_at_5
value: 8.503
verified: no, type: recall_at_1
value: 21.54
verified: no, type: recall_at_10
value: 47.064
verified: no, type: recall_at_100
value: 70.959
verified: no, type: recall_at_1000
value: 91.032
verified: no, type: recall_at_3
value: 32.828
verified: no, type: recall_at_5
value: 37.214999999999996
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 10.102
verified: no, type: map_at_10
value: 17.469
verified: no, type: map_at_100
value: 19.244
verified: no, type: map_at_1000
value: 19.435
verified: no, type: map_at_3
value: 14.257
verified: no, type: map_at_5
value: 16.028000000000002
verified: no, type: mrr_at_1
value: 22.866
verified: no, type: mrr_at_10
value: 33.535
verified: no, type: mrr_at_100
value: 34.583999999999996
verified: no, type: mrr_at_1000
value: 34.622
verified: no, type: mrr_at_3
value: 29.946
verified: no, type: mrr_at_5
value: 32.157000000000004
verified: no, type: ndcg_at_1
value: 22.866
verified: no, type: ndcg_at_10
value: 25.16
verified: no, type: ndcg_at_100
value: 32.347
verified: no, type: ndcg_at_1000
value: 35.821
verified: no, type: ndcg_at_3
value: 19.816
verified: no, type: ndcg_at_5
value: 22.026
verified: no, type: precision_at_1
value: 22.866
verified: no, type: precision_at_10
value: 8.072
verified: no, type: precision_at_100
value: 1.5709999999999997
verified: no, type: precision_at_1000
value: 0.22200000000000003
verified: no, type: precision_at_3
value: 14.701
verified: no, type: precision_at_5
value: 11.960999999999999
verified: no, type: recall_at_1
value: 10.102
verified: no, type: recall_at_10
value: 31.086000000000002
verified: no, type: recall_at_100
value: 55.896
verified: no, type: recall_at_1000
value: 75.375
verified: no, type: recall_at_3
value: 18.343999999999998
verified: no, type: recall_at_5
value: 24.102
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 7.961
verified: no, type: map_at_10
value: 16.058
verified: no, type: map_at_100
value: 21.878
verified: no, type: map_at_1000
value: 23.156
verified: no, type: map_at_3
value: 12.206999999999999
verified: no, type: map_at_5
value: 13.747000000000002
verified: no, type: mrr_at_1
value: 60.5
verified: no, type: mrr_at_10
value: 68.488
verified: no, type: mrr_at_100
value: 69.02199999999999
verified: no, type: mrr_at_1000
value: 69.03200000000001
verified: no, type: mrr_at_3
value: 66.792
verified: no, type: mrr_at_5
value: 67.62899999999999
verified: no, type: ndcg_at_1
value: 49.125
verified: no, type: ndcg_at_10
value: 34.827999999999996
verified: no, type: ndcg_at_100
value: 38.723
verified: no, type: ndcg_at_1000
value: 45.988
verified: no, type: ndcg_at_3
value: 40.302
verified: no, type: ndcg_at_5
value: 36.781000000000006
verified: no, type: precision_at_1
value: 60.5
verified: no, type: precision_at_10
value: 26.825
verified: no, type: precision_at_100
value: 8.445
verified: no, type: precision_at_1000
value: 1.7000000000000002
verified: no, type: precision_at_3
value: 43.25
verified: no, type: precision_at_5
value: 34.5
verified: no, type: recall_at_1
value: 7.961
verified: no, type: recall_at_10
value: 20.843
verified: no, type: recall_at_100
value: 43.839
verified: no, type: recall_at_1000
value: 67.33
verified: no, type: recall_at_3
value: 13.516
verified: no, type: recall_at_5
value: 15.956000000000001
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 52.06000000000001
verified: no, type: f1
value: 47.21494728335567
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 56.798
verified: no, type: map_at_10
value: 67.644
verified: no, type: map_at_100
value: 68.01700000000001
verified: no, type: map_at_1000
value: 68.038
verified: no, type: map_at_3
value: 65.539
verified: no, type: map_at_5
value: 66.912
verified: no, type: mrr_at_1
value: 61.221000000000004
verified: no, type: mrr_at_10
value: 71.97099999999999
verified: no, type: mrr_at_100
value: 72.262
verified: no, type: mrr_at_1000
value: 72.27
verified: no, type: mrr_at_3
value: 70.052
verified: no, type: mrr_at_5
value: 71.324
verified: no, type: ndcg_at_1
value: 61.221000000000004
verified: no, type: ndcg_at_10
value: 73.173
verified: no, type: ndcg_at_100
value: 74.779
verified: no, type: ndcg_at_1000
value: 75.229
verified: no, type: ndcg_at_3
value: 69.291
verified: no, type: ndcg_at_5
value: 71.552
verified: no, type: precision_at_1
value: 61.221000000000004
verified: no, type: precision_at_10
value: 9.449
verified: no, type: precision_at_100
value: 1.0370000000000001
verified: no, type: precision_at_1000
value: 0.109
verified: no, type: precision_at_3
value: 27.467999999999996
verified: no, type: precision_at_5
value: 17.744
verified: no, type: recall_at_1
value: 56.798
verified: no, type: recall_at_10
value: 85.991
verified: no, type: recall_at_100
value: 92.973
verified: no, type: recall_at_1000
value: 96.089
verified: no, type: recall_at_3
value: 75.576
verified: no, type: recall_at_5
value: 81.12
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 18.323
verified: no, type: map_at_10
value: 30.279
verified: no, type: map_at_100
value: 32.153999999999996
verified: no, type: map_at_1000
value: 32.339
verified: no, type: map_at_3
value: 26.336
verified: no, type: map_at_5
value: 28.311999999999998
verified: no, type: mrr_at_1
value: 35.339999999999996
verified: no, type: mrr_at_10
value: 44.931
verified: no, type: mrr_at_100
value: 45.818999999999996
verified: no, type: mrr_at_1000
value: 45.864
verified: no, type: mrr_at_3
value: 42.618
verified: no, type: mrr_at_5
value: 43.736999999999995
verified: no, type: ndcg_at_1
value: 35.339999999999996
verified: no, type: ndcg_at_10
value: 37.852999999999994
verified: no, type: ndcg_at_100
value: 44.888
verified: no, type: ndcg_at_1000
value: 48.069
verified: no, type: ndcg_at_3
value: 34.127
verified: no, type: ndcg_at_5
value: 35.026
verified: no, type: precision_at_1
value: 35.339999999999996
verified: no, type: precision_at_10
value: 10.617
verified: no, type: precision_at_100
value: 1.7930000000000001
verified: no, type: precision_at_1000
value: 0.23600000000000002
verified: no, type: precision_at_3
value: 22.582
verified: no, type: precision_at_5
value: 16.605
verified: no, type: recall_at_1
value: 18.323
verified: no, type: recall_at_10
value: 44.948
verified: no, type: recall_at_100
value: 71.11800000000001
verified: no, type: recall_at_1000
value: 90.104
verified: no, type: recall_at_3
value: 31.661
verified: no, type: recall_at_5
value: 36.498000000000005
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 30.668
verified: no, type: map_at_10
value: 43.669999999999995
verified: no, type: map_at_100
value: 44.646
verified: no, type: map_at_1000
value: 44.731
verified: no, type: map_at_3
value: 40.897
verified: no, type: map_at_5
value: 42.559999999999995
verified: no, type: mrr_at_1
value: 61.336999999999996
verified: no, type: mrr_at_10
value: 68.496
verified: no, type: mrr_at_100
value: 68.916
verified: no, type: mrr_at_1000
value: 68.938
verified: no, type: mrr_at_3
value: 66.90700000000001
verified: no, type: mrr_at_5
value: 67.91199999999999
verified: no, type: ndcg_at_1
value: 61.336999999999996
verified: no, type: ndcg_at_10
value: 52.588
verified: no, type: ndcg_at_100
value: 56.389
verified: no, type: ndcg_at_1000
value: 58.187999999999995
verified: no, type: ndcg_at_3
value: 48.109
verified: no, type: ndcg_at_5
value: 50.498
verified: no, type: precision_at_1
value: 61.336999999999996
verified: no, type: precision_at_10
value: 11.033
verified: no, type: precision_at_100
value: 1.403
verified: no, type: precision_at_1000
value: 0.164
verified: no, type: precision_at_3
value: 30.105999999999998
verified: no, type: precision_at_5
value: 19.954
verified: no, type: recall_at_1
value: 30.668
verified: no, type: recall_at_10
value: 55.165
verified: no, type: recall_at_100
value: 70.169
verified: no, type: recall_at_1000
value: 82.12
verified: no, type: recall_at_3
value: 45.159
verified: no, type: recall_at_5
value: 49.885000000000005
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 78.542
verified: no, type: ap
value: 72.50692137216646
verified: no, type: f1
value: 78.40630687221642
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 18.613
verified: no, type: map_at_10
value: 29.98
verified: no, type: map_at_100
value: 31.136999999999997
verified: no, type: map_at_1000
value: 31.196
verified: no, type: map_at_3
value: 26.339000000000002
verified: no, type: map_at_5
value: 28.351
verified: no, type: mrr_at_1
value: 19.054
verified: no, type: mrr_at_10
value: 30.476
verified: no, type: mrr_at_100
value: 31.588
verified: no, type: mrr_at_1000
value: 31.641000000000002
verified: no, type: mrr_at_3
value: 26.834000000000003
verified: no, type: mrr_at_5
value: 28.849000000000004
verified: no, type: ndcg_at_1
value: 19.083
verified: no, type: ndcg_at_10
value: 36.541000000000004
verified: no, type: ndcg_at_100
value: 42.35
verified: no, type: ndcg_at_1000
value: 43.9
verified: no, type: ndcg_at_3
value: 29.015
verified: no, type: ndcg_at_5
value: 32.622
verified: no, type: precision_at_1
value: 19.083
verified: no, type: precision_at_10
value: 5.914
verified: no, type: precision_at_100
value: 0.889
verified: no, type: precision_at_1000
value: 0.10200000000000001
verified: no, type: precision_at_3
value: 12.483
verified: no, type: precision_at_5
value: 9.315
verified: no, type: recall_at_1
value: 18.613
verified: no, type: recall_at_10
value: 56.88999999999999
verified: no, type: recall_at_100
value: 84.207
verified: no, type: recall_at_1000
value: 96.20100000000001
verified: no, type: recall_at_3
value: 36.262
verified: no, type: recall_at_5
value: 44.925
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 94.77656178750571
verified: no, type: f1
value: 94.37966073742972
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 77.72457820337438
verified: no, type: f1
value: 59.11327646329634
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 73.17753866846
verified: no, type: f1
value: 71.22604635414544
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 76.67787491593813
verified: no, type: f1
value: 76.87653151298177
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics: type: v_measure
value: 33.3485843514749
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics: type: v_measure
value: 29.792796913883617
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 31.310305659169963
verified: no, type: mrr
value: 32.38286775798406
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 4.968
verified: no, type: map_at_10
value: 11.379
verified: no, type: map_at_100
value: 14.618999999999998
verified: no, type: map_at_1000
value: 16.055
verified: no, type: map_at_3
value: 8.34
verified: no, type: map_at_5
value: 9.690999999999999
verified: no, type: mrr_at_1
value: 43.034
verified: no, type: mrr_at_10
value: 51.019999999999996
verified: no, type: mrr_at_100
value: 51.63100000000001
verified: no, type: mrr_at_1000
value: 51.681
verified: no, type: mrr_at_3
value: 49.174
verified: no, type: mrr_at_5
value: 50.181
verified: no, type: ndcg_at_1
value: 41.176
verified: no, type: ndcg_at_10
value: 31.341
verified: no, type: ndcg_at_100
value: 29.451
verified: no, type: ndcg_at_1000
value: 38.007000000000005
verified: no, type: ndcg_at_3
value: 36.494
verified: no, type: ndcg_at_5
value: 34.499
verified: no, type: precision_at_1
value: 43.034
verified: no, type: precision_at_10
value: 23.375
verified: no, type: precision_at_100
value: 7.799
verified: no, type: precision_at_1000
value: 2.059
verified: no, type: precision_at_3
value: 34.675
verified: no, type: precision_at_5
value: 30.154999999999998
verified: no, type: recall_at_1
value: 4.968
verified: no, type: recall_at_10
value: 15.104999999999999
verified: no, type: recall_at_100
value: 30.741000000000003
verified: no, type: recall_at_1000
value: 61.182
verified: no, type: recall_at_3
value: 9.338000000000001
verified: no, type: recall_at_5
value: 11.484
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.716
verified: no, type: map_at_10
value: 38.32
verified: no, type: map_at_100
value: 39.565
verified: no, type: map_at_1000
value: 39.602
verified: no, type: map_at_3
value: 33.848
verified: no, type: map_at_5
value: 36.471
verified: no, type: mrr_at_1
value: 26.912000000000003
verified: no, type: mrr_at_10
value: 40.607
verified: no, type: mrr_at_100
value: 41.589
verified: no, type: mrr_at_1000
value: 41.614000000000004
verified: no, type: mrr_at_3
value: 36.684
verified: no, type: mrr_at_5
value: 39.036
verified: no, type: ndcg_at_1
value: 26.883000000000003
verified: no, type: ndcg_at_10
value: 46.096
verified: no, type: ndcg_at_100
value: 51.513
verified: no, type: ndcg_at_1000
value: 52.366
verified: no, type: ndcg_at_3
value: 37.549
verified: no, type: ndcg_at_5
value: 41.971000000000004
verified: no, type: precision_at_1
value: 26.883000000000003
verified: no, type: precision_at_10
value: 8.004
verified: no, type: precision_at_100
value: 1.107
verified: no, type: precision_at_1000
value: 0.11900000000000001
verified: no, type: precision_at_3
value: 17.516000000000002
verified: no, type: precision_at_5
value: 13.019
verified: no, type: recall_at_1
value: 23.716
verified: no, type: recall_at_10
value: 67.656
verified: no, type: recall_at_100
value: 91.413
verified: no, type: recall_at_1000
value: 97.714
verified: no, type: recall_at_3
value: 45.449
verified: no, type: recall_at_5
value: 55.598000000000006
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 70.486
verified: no, type: map_at_10
value: 84.292
verified: no, type: map_at_100
value: 84.954
verified: no, type: map_at_1000
value: 84.969
verified: no, type: map_at_3
value: 81.295
verified: no, type: map_at_5
value: 83.165
verified: no, type: mrr_at_1
value: 81.16
verified: no, type: mrr_at_10
value: 87.31
verified: no, type: mrr_at_100
value: 87.423
verified: no, type: mrr_at_1000
value: 87.423
verified: no, type: mrr_at_3
value: 86.348
verified: no, type: mrr_at_5
value: 86.991
verified: no, type: ndcg_at_1
value: 81.17
verified: no, type: ndcg_at_10
value: 88.067
verified: no, type: ndcg_at_100
value: 89.34
verified: no, type: ndcg_at_1000
value: 89.43900000000001
verified: no, type: ndcg_at_3
value: 85.162
verified: no, type: ndcg_at_5
value: 86.752
verified: no, type: precision_at_1
value: 81.17
verified: no, type: precision_at_10
value: 13.394
verified: no, type: precision_at_100
value: 1.5310000000000001
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.193
verified: no, type: precision_at_5
value: 24.482
verified: no, type: recall_at_1
value: 70.486
verified: no, type: recall_at_10
value: 95.184
verified: no, type: recall_at_100
value: 99.53999999999999
verified: no, type: recall_at_1000
value: 99.98700000000001
verified: no, type: recall_at_3
value: 86.89
verified: no, type: recall_at_5
value: 91.365
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 44.118229475102154
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics: type: v_measure
value: 48.68049097629063
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 4.888
verified: no, type: map_at_10
value: 12.770999999999999
verified: no, type: map_at_100
value: 15.238
verified: no, type: map_at_1000
value: 15.616
verified: no, type: map_at_3
value: 8.952
verified: no, type: map_at_5
value: 10.639999999999999
verified: no, type: mrr_at_1
value: 24.099999999999998
verified: no, type: mrr_at_10
value: 35.375
verified: no, type: mrr_at_100
value: 36.442
verified: no, type: mrr_at_1000
value: 36.488
verified: no, type: mrr_at_3
value: 31.717000000000002
verified: no, type: mrr_at_5
value: 33.722
verified: no, type: ndcg_at_1
value: 24.099999999999998
verified: no, type: ndcg_at_10
value: 21.438
verified: no, type: ndcg_at_100
value: 30.601
verified: no, type: ndcg_at_1000
value: 36.678
verified: no, type: ndcg_at_3
value: 19.861
verified: no, type: ndcg_at_5
value: 17.263
verified: no, type: precision_at_1
value: 24.099999999999998
verified: no, type: precision_at_10
value: 11.4
verified: no, type: precision_at_100
value: 2.465
verified: no, type: precision_at_1000
value: 0.392
verified: no, type: precision_at_3
value: 18.733
verified: no, type: precision_at_5
value: 15.22
verified: no, type: recall_at_1
value: 4.888
verified: no, type: recall_at_10
value: 23.118
verified: no, type: recall_at_100
value: 49.995
verified: no, type: recall_at_1000
value: 79.577
verified: no, type: recall_at_3
value: 11.398
verified: no, type: recall_at_5
value: 15.428
verified: no, task: type: STS
dataset: type: mteb/sickr-sts
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics: type: cos_sim_pearson
value: 85.33198632617024
verified: no, type: cos_sim_spearman
value: 79.09232997136625
verified: no, type: euclidean_pearson
value: 81.49986011523868
verified: no, type: euclidean_spearman
value: 77.03530620283338
verified: no, type: manhattan_pearson
value: 81.4741227286667
verified: no, type: manhattan_spearman
value: 76.98641133116311
verified: no, task: type: STS
dataset: type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics: type: cos_sim_pearson
value: 84.60103674582464
verified: no, type: cos_sim_spearman
value: 75.03945035801914
verified: no, type: euclidean_pearson
value: 80.82455267481467
verified: no, type: euclidean_spearman
value: 70.3317366248871
verified: no, type: manhattan_pearson
value: 80.8928091531445
verified: no, type: manhattan_spearman
value: 70.43207370945672
verified: no, task: type: STS
dataset: type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics: type: cos_sim_pearson
value: 82.52453177109315
verified: no, type: cos_sim_spearman
value: 83.26431569305103
verified: no, type: euclidean_pearson
value: 82.10494657997404
verified: no, type: euclidean_spearman
value: 83.41028425949024
verified: no, type: manhattan_pearson
value: 82.08669822983934
verified: no, type: manhattan_spearman
value: 83.39959776442115
verified: no, task: type: STS
dataset: type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics: type: cos_sim_pearson
value: 82.67472020277681
verified: no, type: cos_sim_spearman
value: 78.61877889763109
verified: no, type: euclidean_pearson
value: 80.07878012437722
verified: no, type: euclidean_spearman
value: 77.44374494215397
verified: no, type: manhattan_pearson
value: 79.95988483102258
verified: no, type: manhattan_spearman
value: 77.36018101061366
verified: no, task: type: STS
dataset: type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics: type: cos_sim_pearson
value: 85.55450610494437
verified: no, type: cos_sim_spearman
value: 87.03494331841401
verified: no, type: euclidean_pearson
value: 81.4319784394287
verified: no, type: euclidean_spearman
value: 82.47893040599372
verified: no, type: manhattan_pearson
value: 81.32627203699644
verified: no, type: manhattan_spearman
value: 82.40660565070675
verified: no, task: type: STS
dataset: type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics: type: cos_sim_pearson
value: 81.51576965454805
verified: no, type: cos_sim_spearman
value: 83.0062959588245
verified: no, type: euclidean_pearson
value: 79.98888882568556
verified: no, type: euclidean_spearman
value: 81.08948911791873
verified: no, type: manhattan_pearson
value: 79.77952719568583
verified: no, type: manhattan_spearman
value: 80.79471040445408
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 87.28313046682885
verified: no, type: cos_sim_spearman
value: 87.35865211085007
verified: no, type: euclidean_pearson
value: 84.11501613667811
verified: no, type: euclidean_spearman
value: 82.82038954956121
verified: no, type: manhattan_pearson
value: 83.891278147302
verified: no, type: manhattan_spearman
value: 82.59947685165902
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (en)
config: en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 67.80653738006102
verified: no, type: cos_sim_spearman
value: 68.11259151179601
verified: no, type: euclidean_pearson
value: 43.16707985094242
verified: no, type: euclidean_spearman
value: 58.96200382968696
verified: no, type: manhattan_pearson
value: 43.84146858566507
verified: no, type: manhattan_spearman
value: 59.05193977207514
verified: no, task: type: STS
dataset: type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics: type: cos_sim_pearson
value: 82.62068205073571
verified: no, type: cos_sim_spearman
value: 84.40071593577095
verified: no, type: euclidean_pearson
value: 80.90824726252514
verified: no, type: euclidean_spearman
value: 80.54974812534094
verified: no, type: manhattan_pearson
value: 80.6759008187939
verified: no, type: manhattan_spearman
value: 80.31149103896973
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 87.13774787530915
verified: no, type: mrr
value: 96.22233793802422
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 49.167
verified: no, type: map_at_10
value: 59.852000000000004
verified: no, type: map_at_100
value: 60.544
verified: no, type: map_at_1000
value: 60.577000000000005
verified: no, type: map_at_3
value: 57.242000000000004
verified: no, type: map_at_5
value: 58.704
verified: no, type: mrr_at_1
value: 51
verified: no, type: mrr_at_10
value: 60.575
verified: no, type: mrr_at_100
value: 61.144
verified: no, type: mrr_at_1000
value: 61.175000000000004
verified: no, type: mrr_at_3
value: 58.667
verified: no, type: mrr_at_5
value: 59.599999999999994
verified: no, type: ndcg_at_1
value: 51
verified: no, type: ndcg_at_10
value: 64.398
verified: no, type: ndcg_at_100
value: 67.581
verified: no, type: ndcg_at_1000
value: 68.551
verified: no, type: ndcg_at_3
value: 59.928000000000004
verified: no, type: ndcg_at_5
value: 61.986
verified: no, type: precision_at_1
value: 51
verified: no, type: precision_at_10
value: 8.7
verified: no, type: precision_at_100
value: 1.047
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 23.666999999999998
verified: no, type: precision_at_5
value: 15.6
verified: no, type: recall_at_1
value: 49.167
verified: no, type: recall_at_10
value: 77.333
verified: no, type: recall_at_100
value: 91.833
verified: no, type: recall_at_1000
value: 99.667
verified: no, type: recall_at_3
value: 65.594
verified: no, type: recall_at_5
value: 70.52199999999999
verified: no, task: type: PairClassification
dataset: type: mteb/sprintduplicatequestions-pairclassification
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics: type: cos_sim_accuracy
value: 99.77227722772277
verified: no, type: cos_sim_ap
value: 94.14261011689366
verified: no, type: cos_sim_f1
value: 88.37209302325581
verified: no, type: cos_sim_precision
value: 89.36605316973414
verified: no, type: cos_sim_recall
value: 87.4
verified: no, type: dot_accuracy
value: 99.07128712871287
verified: no, type: dot_ap
value: 27.325649239129486
verified: no, type: dot_f1
value: 33.295838020247466
verified: no, type: dot_precision
value: 38.04627249357326
verified: no, type: dot_recall
value: 29.599999999999998
verified: no, type: euclidean_accuracy
value: 99.74158415841585
verified: no, type: euclidean_ap
value: 92.32695359979576
verified: no, type: euclidean_f1
value: 86.90534575772439
verified: no, type: euclidean_precision
value: 85.27430221366699
verified: no, type: euclidean_recall
value: 88.6
verified: no, type: manhattan_accuracy
value: 99.74257425742574
verified: no, type: manhattan_ap
value: 92.40335687760499
verified: no, type: manhattan_f1
value: 86.96507624200687
verified: no, type: manhattan_precision
value: 85.57599225556632
verified: no, type: manhattan_recall
value: 88.4
verified: no, type: max_accuracy
value: 99.77227722772277
verified: no, type: max_ap
value: 94.14261011689366
verified: no, type: max_f1
value: 88.37209302325581
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 53.113809982945035
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics: type: v_measure
value: 33.90915908471812
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 50.36481271702464
verified: no, type: mrr
value: 51.05628236142942
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 30.311305530381826
verified: no, type: cos_sim_spearman
value: 31.22029657606254
verified: no, type: dot_pearson
value: 12.157032445910177
verified: no, type: dot_spearman
value: 13.275185888551805
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.167
verified: no, type: map_at_10
value: 1.113
verified: no, type: map_at_100
value: 5.926
verified: no, type: map_at_1000
value: 15.25
verified: no, type: map_at_3
value: 0.414
verified: no, type: map_at_5
value: 0.633
verified: no, type: mrr_at_1
value: 64
verified: no, type: mrr_at_10
value: 74.444
verified: no, type: mrr_at_100
value: 74.667
verified: no, type: mrr_at_1000
value: 74.679
verified: no, type: mrr_at_3
value: 72
verified: no, type: mrr_at_5
value: 74
verified: no, type: ndcg_at_1
value: 59
verified: no, type: ndcg_at_10
value: 51.468
verified: no, type: ndcg_at_100
value: 38.135000000000005
verified: no, type: ndcg_at_1000
value: 36.946
verified: no, type: ndcg_at_3
value: 55.827000000000005
verified: no, type: ndcg_at_5
value: 53.555
verified: no, type: precision_at_1
value: 64
verified: no, type: precision_at_10
value: 54.400000000000006
verified: no, type: precision_at_100
value: 39.08
verified: no, type: precision_at_1000
value: 16.618
verified: no, type: precision_at_3
value: 58.667
verified: no, type: precision_at_5
value: 56.8
verified: no, type: recall_at_1
value: 0.167
verified: no, type: recall_at_10
value: 1.38
verified: no, type: recall_at_100
value: 9.189
verified: no, type: recall_at_1000
value: 35.737
verified: no, type: recall_at_3
value: 0.455
verified: no, type: recall_at_5
value: 0.73
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.4299999999999997
verified: no, type: map_at_10
value: 8.539
verified: no, type: map_at_100
value: 14.155999999999999
verified: no, type: map_at_1000
value: 15.684999999999999
verified: no, type: map_at_3
value: 3.857
verified: no, type: map_at_5
value: 5.583
verified: no, type: mrr_at_1
value: 26.531
verified: no, type: mrr_at_10
value: 40.489999999999995
verified: no, type: mrr_at_100
value: 41.772999999999996
verified: no, type: mrr_at_1000
value: 41.772999999999996
verified: no, type: mrr_at_3
value: 35.034
verified: no, type: mrr_at_5
value: 38.81
verified: no, type: ndcg_at_1
value: 21.429000000000002
verified: no, type: ndcg_at_10
value: 20.787
verified: no, type: ndcg_at_100
value: 33.202
verified: no, type: ndcg_at_1000
value: 45.167
verified: no, type: ndcg_at_3
value: 18.233
verified: no, type: ndcg_at_5
value: 19.887
verified: no, type: precision_at_1
value: 26.531
verified: no, type: precision_at_10
value: 19.796
verified: no, type: precision_at_100
value: 7.4079999999999995
verified: no, type: precision_at_1000
value: 1.5310000000000001
verified: no, type: precision_at_3
value: 19.728
verified: no, type: precision_at_5
value: 21.633
verified: no, type: recall_at_1
value: 2.4299999999999997
verified: no, type: recall_at_10
value: 14.901
verified: no, type: recall_at_100
value: 46.422000000000004
verified: no, type: recall_at_1000
value: 82.83500000000001
verified: no, type: recall_at_3
value: 4.655
verified: no, type: recall_at_5
value: 8.092
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 72.90140000000001
verified: no, type: ap
value: 15.138716624430662
verified: no, type: f1
value: 56.08803013269606
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 59.85285795132994
verified: no, type: f1
value: 60.17575819903709
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 41.125150148437065
verified: no, task: type: PairClassification
dataset: type: mteb/twittersemeval2015-pairclassification
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics: type: cos_sim_accuracy
value: 84.96751505036657
verified: no, type: cos_sim_ap
value: 70.45642872444971
verified: no, type: cos_sim_f1
value: 65.75274793133259
verified: no, type: cos_sim_precision
value: 61.806361736707686
verified: no, type: cos_sim_recall
value: 70.23746701846966
verified: no, type: dot_accuracy
value: 77.84466829588126
verified: no, type: dot_ap
value: 32.49904328313596
verified: no, type: dot_f1
value: 37.903122189387126
verified: no, type: dot_precision
value: 25.050951086956523
verified: no, type: dot_recall
value: 77.83641160949868
verified: no, type: euclidean_accuracy
value: 84.5920009536866
verified: no, type: euclidean_ap
value: 68.83700633574043
verified: no, type: euclidean_f1
value: 64.92803542871202
verified: no, type: euclidean_precision
value: 60.820465545056464
verified: no, type: euclidean_recall
value: 69.63060686015831
verified: no, type: manhattan_accuracy
value: 84.52643500029802
verified: no, type: manhattan_ap
value: 68.63286046599892
verified: no, type: manhattan_f1
value: 64.7476540705047
verified: no, type: manhattan_precision
value: 62.3291015625
verified: no, type: manhattan_recall
value: 67.36147757255937
verified: no, type: max_accuracy
value: 84.96751505036657
verified: no, type: max_ap
value: 70.45642872444971
verified: no, type: max_f1
value: 65.75274793133259
verified: no, task: type: PairClassification
dataset: type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics: type: cos_sim_accuracy
value: 88.65603291031164
verified: no, type: cos_sim_ap
value: 85.58148320880878
verified: no, type: cos_sim_f1
value: 77.63202920041064
verified: no, type: cos_sim_precision
value: 76.68444377675957
verified: no, type: cos_sim_recall
value: 78.60332614721281
verified: no, type: dot_accuracy
value: 79.71048239996895
verified: no, type: dot_ap
value: 59.31114839296281
verified: no, type: dot_f1
value: 57.13895527483783
verified: no, type: dot_precision
value: 51.331125015335545
verified: no, type: dot_recall
value: 64.4287034185402
verified: no, type: euclidean_accuracy
value: 86.99305312997244
verified: no, type: euclidean_ap
value: 81.87075965254876
verified: no, type: euclidean_f1
value: 73.53543008715421
verified: no, type: euclidean_precision
value: 72.39964184450082
verified: no, type: euclidean_recall
value: 74.70742223591007
verified: no, type: manhattan_accuracy
value: 87.04156479217605
verified: no, type: manhattan_ap
value: 81.7850497283247
verified: no, type: manhattan_f1
value: 73.52951955143475
verified: no, type: manhattan_precision
value: 70.15875236030492
verified: no, type: manhattan_recall
value: 77.2405297197413
verified: no, type: max_accuracy
value: 88.65603291031164
verified: no, type: max_ap
value: 85.58148320880878
verified: no, type: max_f1
value: 77.63202920041064
verified: no
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Created: 2024-05-11 17:59:11