metadata
tags:
- mteb
model-index:
- name: neural-embedding-v1
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 93.10447761194031
- type: ap
value: 72.52673607512206
- type: f1
value: 89.6752355529259
- task:
type: Classification
dataset:
type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 97.536525
- type: ap
value: 96.46802431780014
- type: f1
value: 97.53623627430422
- task:
type: Classification
dataset:
type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 61.17399999999999
- type: f1
value: 60.40485236445537
- task:
type: Retrieval
dataset:
type: mteb/arguana
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 44.452000000000005
- type: map_at_10
value: 59.563
- type: map_at_100
value: 60.014
- type: map_at_1000
value: 60.016000000000005
- type: map_at_20
value: 59.923
- type: map_at_3
value: 55.915000000000006
- type: map_at_5
value: 58.056
- type: mrr_at_1
value: 45.804
- type: mrr_at_10
value: 60.089999999999996
- type: mrr_at_100
value: 60.541
- type: mrr_at_1000
value: 60.543
- type: mrr_at_20
value: 60.45
- type: mrr_at_3
value: 56.294
- type: mrr_at_5
value: 58.54899999999999
- type: ndcg_at_1
value: 44.452000000000005
- type: ndcg_at_10
value: 67.208
- type: ndcg_at_100
value: 69.074
- type: ndcg_at_1000
value: 69.122
- type: ndcg_at_20
value: 68.474
- type: ndcg_at_3
value: 59.758
- type: ndcg_at_5
value: 63.621
- type: precision_at_1
value: 44.452000000000005
- type: precision_at_10
value: 9.125
- type: precision_at_100
value: 0.993
- type: precision_at_1000
value: 0.1
- type: precision_at_20
value: 4.808
- type: precision_at_3
value: 23.637
- type: precision_at_5
value: 16.06
- type: recall_at_1
value: 44.452000000000005
- type: recall_at_10
value: 91.252
- type: recall_at_100
value: 99.289
- type: recall_at_1000
value: 99.644
- type: recall_at_20
value: 96.15899999999999
- type: recall_at_3
value: 70.91
- type: recall_at_5
value: 80.29899999999999
- task:
type: Clustering
dataset:
type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 53.445166004781356
- task:
type: Clustering
dataset:
type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 48.82101672589653
- task:
type: Reranking
dataset:
type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 68.44973588765177
- type: mrr
value: 80.355274150288
- task:
type: STS
dataset:
type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 90.06690068909613
- type: cos_sim_spearman
value: 87.97730582741434
- type: euclidean_pearson
value: 86.04185393610108
- type: euclidean_spearman
value: 85.91340337831018
- type: manhattan_pearson
value: 86.05913485565931
- type: manhattan_spearman
value: 85.70195277713228
- task:
type: Classification
dataset:
type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 88.73376623376623
- type: f1
value: 88.67733851784945
- task:
type: Clustering
dataset:
type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 48.822459956481474
- task:
type: Clustering
dataset:
type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 45.068617486695764
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-android
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 36.980000000000004
- type: map_at_10
value: 51.151
- type: map_at_100
value: 52.852
- type: map_at_1000
value: 52.957
- type: map_at_20
value: 52.196
- type: map_at_3
value: 46.537
- type: map_at_5
value: 49.025999999999996
- type: mrr_at_1
value: 45.494
- type: mrr_at_10
value: 56.765
- type: mrr_at_100
value: 57.483
- type: mrr_at_1000
value: 57.508
- type: mrr_at_20
value: 57.255
- type: mrr_at_3
value: 53.815000000000005
- type: mrr_at_5
value: 55.725
- type: ndcg_at_1
value: 45.494
- type: ndcg_at_10
value: 58.435
- type: ndcg_at_100
value: 63.318
- type: ndcg_at_1000
value: 64.498
- type: ndcg_at_20
value: 60.88
- type: ndcg_at_3
value: 52.307
- type: ndcg_at_5
value: 55.103
- type: precision_at_1
value: 45.494
- type: precision_at_10
value: 11.488
- type: precision_at_100
value: 1.735
- type: precision_at_1000
value: 0.215
- type: precision_at_20
value: 6.8309999999999995
- type: precision_at_3
value: 25.513
- type: precision_at_5
value: 18.282999999999998
- type: recall_at_1
value: 36.980000000000004
- type: recall_at_10
value: 72.82300000000001
- type: recall_at_100
value: 91.525
- type: recall_at_1000
value: 98.44800000000001
- type: recall_at_20
value: 81.345
- type: recall_at_3
value: 55.044000000000004
- type: recall_at_5
value: 63.441
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-english
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 37.489
- type: map_at_10
value: 50.708
- type: map_at_100
value: 52.101
- type: map_at_1000
value: 52.22
- type: map_at_20
value: 51.514
- type: map_at_3
value: 46.915
- type: map_at_5
value: 49.185
- type: mrr_at_1
value: 47.643
- type: mrr_at_10
value: 56.806
- type: mrr_at_100
value: 57.369
- type: mrr_at_1000
value: 57.399
- type: mrr_at_20
value: 57.141
- type: mrr_at_3
value: 54.437000000000005
- type: mrr_at_5
value: 55.955999999999996
- type: ndcg_at_1
value: 47.643
- type: ndcg_at_10
value: 56.989000000000004
- type: ndcg_at_100
value: 60.995999999999995
- type: ndcg_at_1000
value: 62.668
- type: ndcg_at_20
value: 58.63699999999999
- type: ndcg_at_3
value: 52.26499999999999
- type: ndcg_at_5
value: 54.684999999999995
- type: precision_at_1
value: 47.643
- type: precision_at_10
value: 10.879
- type: precision_at_100
value: 1.6320000000000001
- type: precision_at_1000
value: 0.211
- type: precision_at_20
value: 6.338000000000001
- type: precision_at_3
value: 25.52
- type: precision_at_5
value: 18.229
- type: recall_at_1
value: 37.489
- type: recall_at_10
value: 68.10300000000001
- type: recall_at_100
value: 84.497
- type: recall_at_1000
value: 94.402
- type: recall_at_20
value: 73.849
- type: recall_at_3
value: 53.925
- type: recall_at_5
value: 60.878
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-gaming
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 45.044000000000004
- type: map_at_10
value: 59.804
- type: map_at_100
value: 60.841
- type: map_at_1000
value: 60.870999999999995
- type: map_at_20
value: 60.478
- type: map_at_3
value: 56.169000000000004
- type: map_at_5
value: 58.331999999999994
- type: mrr_at_1
value: 51.849999999999994
- type: mrr_at_10
value: 63.249
- type: mrr_at_100
value: 63.786
- type: mrr_at_1000
value: 63.797000000000004
- type: mrr_at_20
value: 63.592999999999996
- type: mrr_at_3
value: 60.721000000000004
- type: mrr_at_5
value: 62.251
- type: ndcg_at_1
value: 51.849999999999994
- type: ndcg_at_10
value: 66.122
- type: ndcg_at_100
value: 69.614
- type: ndcg_at_1000
value: 70.12
- type: ndcg_at_20
value: 67.805
- type: ndcg_at_3
value: 60.348
- type: ndcg_at_5
value: 63.33800000000001
- type: precision_at_1
value: 51.849999999999994
- type: precision_at_10
value: 10.539
- type: precision_at_100
value: 1.327
- type: precision_at_1000
value: 0.13999999999999999
- type: precision_at_20
value: 5.865
- type: precision_at_3
value: 27.084999999999997
- type: precision_at_5
value: 18.483
- type: recall_at_1
value: 45.044000000000004
- type: recall_at_10
value: 81.192
- type: recall_at_100
value: 95.597
- type: recall_at_1000
value: 98.97200000000001
- type: recall_at_20
value: 87.139
- type: recall_at_3
value: 65.713
- type: recall_at_5
value: 73.213
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-gis
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 29.834
- type: map_at_10
value: 40.363
- type: map_at_100
value: 41.559000000000005
- type: map_at_1000
value: 41.626000000000005
- type: map_at_20
value: 41.160999999999994
- type: map_at_3
value: 36.958999999999996
- type: map_at_5
value: 38.897999999999996
- type: mrr_at_1
value: 32.429
- type: mrr_at_10
value: 42.604
- type: mrr_at_100
value: 43.54
- type: mrr_at_1000
value: 43.59
- type: mrr_at_20
value: 43.247
- type: mrr_at_3
value: 39.528999999999996
- type: mrr_at_5
value: 41.36
- type: ndcg_at_1
value: 32.429
- type: ndcg_at_10
value: 46.39
- type: ndcg_at_100
value: 51.561
- type: ndcg_at_1000
value: 53.071
- type: ndcg_at_20
value: 48.951
- type: ndcg_at_3
value: 39.796
- type: ndcg_at_5
value: 43.07
- type: precision_at_1
value: 32.429
- type: precision_at_10
value: 7.277
- type: precision_at_100
value: 1.038
- type: precision_at_1000
value: 0.11900000000000001
- type: precision_at_20
value: 4.249
- type: precision_at_3
value: 17.024
- type: precision_at_5
value: 12.113
- type: recall_at_1
value: 29.834
- type: recall_at_10
value: 62.808
- type: recall_at_100
value: 85.47200000000001
- type: recall_at_1000
value: 96.503
- type: recall_at_20
value: 72.246
- type: recall_at_3
value: 45.059
- type: recall_at_5
value: 52.907000000000004
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-mathematica
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 22.121
- type: map_at_10
value: 33.217
- type: map_at_100
value: 34.671
- type: map_at_1000
value: 34.77
- type: map_at_20
value: 34.039
- type: map_at_3
value: 29.389
- type: map_at_5
value: 31.749
- type: mrr_at_1
value: 27.114
- type: mrr_at_10
value: 37.730999999999995
- type: mrr_at_100
value: 38.673
- type: mrr_at_1000
value: 38.725
- type: mrr_at_20
value: 38.279
- type: mrr_at_3
value: 34.494
- type: mrr_at_5
value: 36.609
- type: ndcg_at_1
value: 27.114
- type: ndcg_at_10
value: 39.723000000000006
- type: ndcg_at_100
value: 45.847
- type: ndcg_at_1000
value: 47.879
- type: ndcg_at_20
value: 42.129
- type: ndcg_at_3
value: 33.194
- type: ndcg_at_5
value: 36.763
- type: precision_at_1
value: 27.114
- type: precision_at_10
value: 7.575
- type: precision_at_100
value: 1.218
- type: precision_at_1000
value: 0.15
- type: precision_at_20
value: 4.527
- type: precision_at_3
value: 16.252
- type: precision_at_5
value: 12.363
- type: recall_at_1
value: 22.121
- type: recall_at_10
value: 54.726
- type: recall_at_100
value: 80.662
- type: recall_at_1000
value: 94.645
- type: recall_at_20
value: 62.977000000000004
- type: recall_at_3
value: 37.348
- type: recall_at_5
value: 46.163
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-physics
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 36.346000000000004
- type: map_at_10
value: 50.034
- type: map_at_100
value: 51.37500000000001
- type: map_at_1000
value: 51.464
- type: map_at_20
value: 50.739999999999995
- type: map_at_3
value: 45.948
- type: map_at_5
value: 48.421
- type: mrr_at_1
value: 45.043
- type: mrr_at_10
value: 55.642
- type: mrr_at_100
value: 56.335
- type: mrr_at_1000
value: 56.355999999999995
- type: mrr_at_20
value: 56.027
- type: mrr_at_3
value: 53.224000000000004
- type: mrr_at_5
value: 54.798
- type: ndcg_at_1
value: 45.043
- type: ndcg_at_10
value: 56.627
- type: ndcg_at_100
value: 61.751
- type: ndcg_at_1000
value: 62.873999999999995
- type: ndcg_at_20
value: 58.521
- type: ndcg_at_3
value: 50.995999999999995
- type: ndcg_at_5
value: 54.049
- type: precision_at_1
value: 45.043
- type: precision_at_10
value: 10.51
- type: precision_at_100
value: 1.521
- type: precision_at_1000
value: 0.179
- type: precision_at_20
value: 5.958
- type: precision_at_3
value: 24.703
- type: precision_at_5
value: 17.671
- type: recall_at_1
value: 36.346000000000004
- type: recall_at_10
value: 69.95
- type: recall_at_100
value: 91.449
- type: recall_at_1000
value: 98.021
- type: recall_at_20
value: 76.522
- type: recall_at_3
value: 54.348
- type: recall_at_5
value: 62.271
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-programmers
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 28.754
- type: map_at_10
value: 42.921
- type: map_at_100
value: 44.440000000000005
- type: map_at_1000
value: 44.516
- type: map_at_20
value: 43.815
- type: map_at_3
value: 38.592999999999996
- type: map_at_5
value: 41.138999999999996
- type: mrr_at_1
value: 36.416
- type: mrr_at_10
value: 48.284
- type: mrr_at_100
value: 49.086
- type: mrr_at_1000
value: 49.116
- type: mrr_at_20
value: 48.741
- type: mrr_at_3
value: 45.301
- type: mrr_at_5
value: 47.104
- type: ndcg_at_1
value: 36.416
- type: ndcg_at_10
value: 50.257
- type: ndcg_at_100
value: 55.931
- type: ndcg_at_1000
value: 57.188
- type: ndcg_at_20
value: 52.607000000000006
- type: ndcg_at_3
value: 43.787
- type: ndcg_at_5
value: 46.941
- type: precision_at_1
value: 36.416
- type: precision_at_10
value: 9.783
- type: precision_at_100
value: 1.465
- type: precision_at_1000
value: 0.173
- type: precision_at_20
value: 5.713
- type: precision_at_3
value: 21.804000000000002
- type: precision_at_5
value: 16.05
- type: recall_at_1
value: 28.754
- type: recall_at_10
value: 66.31099999999999
- type: recall_at_100
value: 90.034
- type: recall_at_1000
value: 98.058
- type: recall_at_20
value: 74.411
- type: recall_at_3
value: 48.332
- type: recall_at_5
value: 56.548
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 30.579583333333332
- type: map_at_10
value: 42.696333333333335
- type: map_at_100
value: 44.078583333333334
- type: map_at_1000
value: 44.176333333333325
- type: map_at_20
value: 43.499833333333335
- type: map_at_3
value: 38.953583333333334
- type: map_at_5
value: 41.125583333333324
- type: mrr_at_1
value: 36.52666666666667
- type: mrr_at_10
value: 46.925666666666665
- type: mrr_at_100
value: 47.74333333333334
- type: mrr_at_1000
value: 47.78266666666667
- type: mrr_at_20
value: 47.42483333333333
- type: mrr_at_3
value: 44.068083333333334
- type: mrr_at_5
value: 45.82383333333333
- type: ndcg_at_1
value: 36.52666666666667
- type: ndcg_at_10
value: 49.1145
- type: ndcg_at_100
value: 54.340583333333335
- type: ndcg_at_1000
value: 55.90625
- type: ndcg_at_20
value: 51.32724999999999
- type: ndcg_at_3
value: 43.146
- type: ndcg_at_5
value: 46.146166666666666
- type: precision_at_1
value: 36.52666666666667
- type: precision_at_10
value: 8.866916666666667
- type: precision_at_100
value: 1.3526666666666667
- type: precision_at_1000
value: 0.1670833333333333
- type: precision_at_20
value: 5.199416666666667
- type: precision_at_3
value: 20.278333333333332
- type: precision_at_5
value: 14.614999999999997
- type: recall_at_1
value: 30.579583333333332
- type: recall_at_10
value: 63.618416666666675
- type: recall_at_100
value: 85.86858333333332
- type: recall_at_1000
value: 96.24825
- type: recall_at_20
value: 71.52533333333334
- type: recall_at_3
value: 47.18050000000001
- type: recall_at_5
value: 54.90683333333334
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-stats
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 26.180999999999997
- type: map_at_10
value: 36.4
- type: map_at_100
value: 37.464999999999996
- type: map_at_1000
value: 37.556
- type: map_at_20
value: 36.984
- type: map_at_3
value: 33.354
- type: map_at_5
value: 35.214
- type: mrr_at_1
value: 29.601
- type: mrr_at_10
value: 39.328
- type: mrr_at_100
value: 40.113
- type: mrr_at_1000
value: 40.176
- type: mrr_at_20
value: 39.751999999999995
- type: mrr_at_3
value: 36.58
- type: mrr_at_5
value: 38.313
- type: ndcg_at_1
value: 29.601
- type: ndcg_at_10
value: 42.037
- type: ndcg_at_100
value: 46.946
- type: ndcg_at_1000
value: 49.075
- type: ndcg_at_20
value: 43.827
- type: ndcg_at_3
value: 36.473
- type: ndcg_at_5
value: 39.482
- type: precision_at_1
value: 29.601
- type: precision_at_10
value: 7.009
- type: precision_at_100
value: 1.0290000000000001
- type: precision_at_1000
value: 0.129
- type: precision_at_20
value: 4.018
- type: precision_at_3
value: 16.36
- type: precision_at_5
value: 11.779
- type: recall_at_1
value: 26.180999999999997
- type: recall_at_10
value: 56.275
- type: recall_at_100
value: 78.61200000000001
- type: recall_at_1000
value: 93.887
- type: recall_at_20
value: 62.798
- type: recall_at_3
value: 41.157
- type: recall_at_5
value: 48.49
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-tex
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 20.205000000000002
- type: map_at_10
value: 29.947000000000003
- type: map_at_100
value: 31.342
- type: map_at_1000
value: 31.458000000000002
- type: map_at_20
value: 30.741000000000003
- type: map_at_3
value: 26.568
- type: map_at_5
value: 28.372999999999998
- type: mrr_at_1
value: 24.742
- type: mrr_at_10
value: 33.941
- type: mrr_at_100
value: 34.92
- type: mrr_at_1000
value: 34.981
- type: mrr_at_20
value: 34.509
- type: mrr_at_3
value: 31.097
- type: mrr_at_5
value: 32.631
- type: ndcg_at_1
value: 24.742
- type: ndcg_at_10
value: 35.884
- type: ndcg_at_100
value: 41.839999999999996
- type: ndcg_at_1000
value: 44.162
- type: ndcg_at_20
value: 38.273
- type: ndcg_at_3
value: 30.073
- type: ndcg_at_5
value: 32.617000000000004
- type: precision_at_1
value: 24.742
- type: precision_at_10
value: 6.958
- type: precision_at_100
value: 1.155
- type: precision_at_1000
value: 0.154
- type: precision_at_20
value: 4.202
- type: precision_at_3
value: 14.568
- type: precision_at_5
value: 10.757
- type: recall_at_1
value: 20.205000000000002
- type: recall_at_10
value: 49.603
- type: recall_at_100
value: 75.77000000000001
- type: recall_at_1000
value: 91.767
- type: recall_at_20
value: 58.309
- type: recall_at_3
value: 33.353
- type: recall_at_5
value: 39.947
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-unix
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 31.543
- type: map_at_10
value: 43.895
- type: map_at_100
value: 45.233000000000004
- type: map_at_1000
value: 45.314
- type: map_at_20
value: 44.707
- type: map_at_3
value: 40.165
- type: map_at_5
value: 42.353
- type: mrr_at_1
value: 37.5
- type: mrr_at_10
value: 47.814
- type: mrr_at_100
value: 48.701
- type: mrr_at_1000
value: 48.74
- type: mrr_at_20
value: 48.378
- type: mrr_at_3
value: 45.04
- type: mrr_at_5
value: 46.729
- type: ndcg_at_1
value: 37.5
- type: ndcg_at_10
value: 50.312999999999995
- type: ndcg_at_100
value: 55.696999999999996
- type: ndcg_at_1000
value: 57.135000000000005
- type: ndcg_at_20
value: 52.734
- type: ndcg_at_3
value: 44.263000000000005
- type: ndcg_at_5
value: 47.268
- type: precision_at_1
value: 37.5
- type: precision_at_10
value: 8.871
- type: precision_at_100
value: 1.278
- type: precision_at_1000
value: 0.149
- type: precision_at_20
value: 5.117
- type: precision_at_3
value: 20.709
- type: precision_at_5
value: 14.832
- type: recall_at_1
value: 31.543
- type: recall_at_10
value: 65.694
- type: recall_at_100
value: 88.105
- type: recall_at_1000
value: 97.38
- type: recall_at_20
value: 74.307
- type: recall_at_3
value: 49.254999999999995
- type: recall_at_5
value: 56.85
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-webmasters
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 29.325000000000003
- type: map_at_10
value: 40.653
- type: map_at_100
value: 42.568
- type: map_at_1000
value: 42.782
- type: map_at_20
value: 41.638999999999996
- type: map_at_3
value: 36.726
- type: map_at_5
value: 38.911
- type: mrr_at_1
value: 34.98
- type: mrr_at_10
value: 45.281
- type: mrr_at_100
value: 46.255
- type: mrr_at_1000
value: 46.29
- type: mrr_at_20
value: 45.94
- type: mrr_at_3
value: 41.831
- type: mrr_at_5
value: 44.045
- type: ndcg_at_1
value: 34.98
- type: ndcg_at_10
value: 47.629
- type: ndcg_at_100
value: 53.912000000000006
- type: ndcg_at_1000
value: 55.48
- type: ndcg_at_20
value: 50.281
- type: ndcg_at_3
value: 41.211999999999996
- type: ndcg_at_5
value: 44.529
- type: precision_at_1
value: 34.98
- type: precision_at_10
value: 9.229
- type: precision_at_100
value: 1.854
- type: precision_at_1000
value: 0.258
- type: precision_at_20
value: 5.8500000000000005
- type: precision_at_3
value: 19.631
- type: precision_at_5
value: 14.506
- type: recall_at_1
value: 29.325000000000003
- type: recall_at_10
value: 61.894000000000005
- type: recall_at_100
value: 88.684
- type: recall_at_1000
value: 97.83800000000001
- type: recall_at_20
value: 71.758
- type: recall_at_3
value: 44.265
- type: recall_at_5
value: 53.051
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-wordpress
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 23.133
- type: map_at_10
value: 33.263
- type: map_at_100
value: 34.496
- type: map_at_1000
value: 34.582
- type: map_at_20
value: 33.983999999999995
- type: map_at_3
value: 30.12
- type: map_at_5
value: 31.906000000000002
- type: mrr_at_1
value: 25.507999999999996
- type: mrr_at_10
value: 35.663
- type: mrr_at_100
value: 36.659000000000006
- type: mrr_at_1000
value: 36.714
- type: mrr_at_20
value: 36.236000000000004
- type: mrr_at_3
value: 32.748
- type: mrr_at_5
value: 34.365
- type: ndcg_at_1
value: 25.507999999999996
- type: ndcg_at_10
value: 38.968
- type: ndcg_at_100
value: 44.674
- type: ndcg_at_1000
value: 46.725
- type: ndcg_at_20
value: 41.282000000000004
- type: ndcg_at_3
value: 33.038000000000004
- type: ndcg_at_5
value: 35.909
- type: precision_at_1
value: 25.507999999999996
- type: precision_at_10
value: 6.285
- type: precision_at_100
value: 0.98
- type: precision_at_1000
value: 0.128
- type: precision_at_20
value: 3.7249999999999996
- type: precision_at_3
value: 14.171
- type: precision_at_5
value: 10.314
- type: recall_at_1
value: 23.133
- type: recall_at_10
value: 54.042
- type: recall_at_100
value: 80.01599999999999
- type: recall_at_1000
value: 95.05799999999999
- type: recall_at_20
value: 62.643
- type: recall_at_3
value: 38.367000000000004
- type: recall_at_5
value: 45.123000000000005
- task:
type: Retrieval
dataset:
type: mteb/climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 13.923
- type: map_at_10
value: 23.415
- type: map_at_100
value: 25.389
- type: map_at_1000
value: 25.539
- type: map_at_20
value: 24.462
- type: map_at_3
value: 19.719
- type: map_at_5
value: 21.75
- type: mrr_at_1
value: 31.205
- type: mrr_at_10
value: 43.196
- type: mrr_at_100
value: 44.039
- type: mrr_at_1000
value: 44.071
- type: mrr_at_20
value: 43.744
- type: mrr_at_3
value: 40.033
- type: mrr_at_5
value: 41.967
- type: ndcg_at_1
value: 31.205
- type: ndcg_at_10
value: 32.304
- type: ndcg_at_100
value: 39.717
- type: ndcg_at_1000
value: 42.559999999999995
- type: ndcg_at_20
value: 35.166
- type: ndcg_at_3
value: 26.955000000000002
- type: ndcg_at_5
value: 28.967
- type: precision_at_1
value: 31.205
- type: precision_at_10
value: 9.948
- type: precision_at_100
value: 1.7870000000000001
- type: precision_at_1000
value: 0.233
- type: precision_at_20
value: 6.205
- type: precision_at_3
value: 20.108999999999998
- type: precision_at_5
value: 15.453
- type: recall_at_1
value: 13.923
- type: recall_at_10
value: 37.885000000000005
- type: recall_at_100
value: 63.352
- type: recall_at_1000
value: 79.372
- type: recall_at_20
value: 45.954
- type: recall_at_3
value: 24.511
- type: recall_at_5
value: 30.451
- task:
type: Retrieval
dataset:
type: mteb/dbpedia
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 9.584
- type: map_at_10
value: 23.432
- type: map_at_100
value: 32.513
- type: map_at_1000
value: 34.27
- type: map_at_20
value: 27.18
- type: map_at_3
value: 16.145
- type: map_at_5
value: 19.405
- type: mrr_at_1
value: 74.5
- type: mrr_at_10
value: 81.233
- type: mrr_at_100
value: 81.463
- type: mrr_at_1000
value: 81.46900000000001
- type: mrr_at_20
value: 81.394
- type: mrr_at_3
value: 79.958
- type: mrr_at_5
value: 80.808
- type: ndcg_at_1
value: 62.125
- type: ndcg_at_10
value: 48.047000000000004
- type: ndcg_at_100
value: 52.251999999999995
- type: ndcg_at_1000
value: 59.353
- type: ndcg_at_20
value: 47.264
- type: ndcg_at_3
value: 52.891999999999996
- type: ndcg_at_5
value: 50.766999999999996
- type: precision_at_1
value: 74.5
- type: precision_at_10
value: 38.15
- type: precision_at_100
value: 11.51
- type: precision_at_1000
value: 2.183
- type: precision_at_20
value: 28.749999999999996
- type: precision_at_3
value: 56.25
- type: precision_at_5
value: 49.1
- type: recall_at_1
value: 9.584
- type: recall_at_10
value: 29.215999999999998
- type: recall_at_100
value: 57.914
- type: recall_at_1000
value: 80.67699999999999
- type: recall_at_20
value: 37.358000000000004
- type: recall_at_3
value: 17.422
- type: recall_at_5
value: 22.345000000000002
- task:
type: Classification
dataset:
type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 91.36000000000001
- type: f1
value: 87.72724279223316
- task:
type: Retrieval
dataset:
type: mteb/fever
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 78.81700000000001
- type: map_at_10
value: 86.392
- type: map_at_100
value: 86.6
- type: map_at_1000
value: 86.611
- type: map_at_20
value: 86.521
- type: map_at_3
value: 85.31
- type: map_at_5
value: 86.047
- type: mrr_at_1
value: 84.878
- type: mrr_at_10
value: 90.359
- type: mrr_at_100
value: 90.426
- type: mrr_at_1000
value: 90.427
- type: mrr_at_20
value: 90.405
- type: mrr_at_3
value: 89.761
- type: mrr_at_5
value: 90.191
- type: ndcg_at_1
value: 84.878
- type: ndcg_at_10
value: 89.459
- type: ndcg_at_100
value: 90.171
- type: ndcg_at_1000
value: 90.349
- type: ndcg_at_20
value: 89.788
- type: ndcg_at_3
value: 87.908
- type: ndcg_at_5
value: 88.844
- type: precision_at_1
value: 84.878
- type: precision_at_10
value: 10.639
- type: precision_at_100
value: 1.123
- type: precision_at_1000
value: 0.11499999999999999
- type: precision_at_20
value: 5.427
- type: precision_at_3
value: 33.333
- type: precision_at_5
value: 20.696
- type: recall_at_1
value: 78.81700000000001
- type: recall_at_10
value: 94.959
- type: recall_at_100
value: 97.72800000000001
- type: recall_at_1000
value: 98.791
- type: recall_at_20
value: 96.036
- type: recall_at_3
value: 90.727
- type: recall_at_5
value: 93.12899999999999
- task:
type: Retrieval
dataset:
type: mteb/fiqa
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 29.596
- type: map_at_10
value: 50.833
- type: map_at_100
value: 53.034000000000006
- type: map_at_1000
value: 53.135
- type: map_at_20
value: 52.195
- type: map_at_3
value: 44.247
- type: map_at_5
value: 48.107
- type: mrr_at_1
value: 57.87
- type: mrr_at_10
value: 65.566
- type: mrr_at_100
value: 66.15299999999999
- type: mrr_at_1000
value: 66.168
- type: mrr_at_20
value: 65.923
- type: mrr_at_3
value: 63.55499999999999
- type: mrr_at_5
value: 64.727
- type: ndcg_at_1
value: 57.87
- type: ndcg_at_10
value: 58.943999999999996
- type: ndcg_at_100
value: 65.283
- type: ndcg_at_1000
value: 66.706
- type: ndcg_at_20
value: 61.778999999999996
- type: ndcg_at_3
value: 54.554
- type: ndcg_at_5
value: 56.159000000000006
- type: precision_at_1
value: 57.87
- type: precision_at_10
value: 16.435
- type: precision_at_100
value: 2.307
- type: precision_at_1000
value: 0.256
- type: precision_at_20
value: 9.522
- type: precision_at_3
value: 36.986000000000004
- type: precision_at_5
value: 27.16
- type: recall_at_1
value: 29.596
- type: recall_at_10
value: 66.705
- type: recall_at_100
value: 89.45
- type: recall_at_1000
value: 97.758
- type: recall_at_20
value: 75.13300000000001
- type: recall_at_3
value: 49.689
- type: recall_at_5
value: 57.701
- task:
type: Retrieval
dataset:
type: mteb/hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 42.532
- type: map_at_10
value: 71.931
- type: map_at_100
value: 72.623
- type: map_at_1000
value: 72.662
- type: map_at_20
value: 72.355
- type: map_at_3
value: 68.72200000000001
- type: map_at_5
value: 70.813
- type: mrr_at_1
value: 85.064
- type: mrr_at_10
value: 89.69500000000001
- type: mrr_at_100
value: 89.792
- type: mrr_at_1000
value: 89.795
- type: mrr_at_20
value: 89.759
- type: mrr_at_3
value: 89.129
- type: mrr_at_5
value: 89.5
- type: ndcg_at_1
value: 85.064
- type: ndcg_at_10
value: 78.86999999999999
- type: ndcg_at_100
value: 81.134
- type: ndcg_at_1000
value: 81.862
- type: ndcg_at_20
value: 79.888
- type: ndcg_at_3
value: 74.579
- type: ndcg_at_5
value: 77.086
- type: precision_at_1
value: 85.064
- type: precision_at_10
value: 16.433
- type: precision_at_100
value: 1.818
- type: precision_at_1000
value: 0.191
- type: precision_at_20
value: 8.545
- type: precision_at_3
value: 48.508
- type: precision_at_5
value: 31.084
- type: recall_at_1
value: 42.532
- type: recall_at_10
value: 82.167
- type: recall_at_100
value: 90.905
- type: recall_at_1000
value: 95.699
- type: recall_at_20
value: 85.449
- type: recall_at_3
value: 72.762
- type: recall_at_5
value: 77.711
- task:
type: Classification
dataset:
type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 96.91919999999999
- type: ap
value: 95.88443935380744
- type: f1
value: 96.91873838978964
- task:
type: Retrieval
dataset:
type: mteb/msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 21.747
- type: map_at_10
value: 34.764
- type: map_at_100
value: 35.981
- type: map_at_1000
value: 36.027
- type: map_at_20
value: 35.557
- type: map_at_3
value: 30.770999999999997
- type: map_at_5
value: 33.07
- type: mrr_at_1
value: 22.421
- type: mrr_at_10
value: 35.417
- type: mrr_at_100
value: 36.57
- type: mrr_at_1000
value: 36.61
- type: mrr_at_20
value: 36.174
- type: mrr_at_3
value: 31.516
- type: mrr_at_5
value: 33.783
- type: ndcg_at_1
value: 22.421
- type: ndcg_at_10
value: 42.003
- type: ndcg_at_100
value: 47.674
- type: ndcg_at_1000
value: 48.783
- type: ndcg_at_20
value: 44.789
- type: ndcg_at_3
value: 33.918
- type: ndcg_at_5
value: 38.011
- type: precision_at_1
value: 22.421
- type: precision_at_10
value: 6.712
- type: precision_at_100
value: 0.9520000000000001
- type: precision_at_1000
value: 0.105
- type: precision_at_20
value: 3.9309999999999996
- type: precision_at_3
value: 14.632000000000001
- type: precision_at_5
value: 10.845
- type: recall_at_1
value: 21.747
- type: recall_at_10
value: 64.2
- type: recall_at_100
value: 90.04100000000001
- type: recall_at_1000
value: 98.41499999999999
- type: recall_at_20
value: 74.982
- type: recall_at_3
value: 42.303000000000004
- type: recall_at_5
value: 52.11
- task:
type: Classification
dataset:
type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 99.02872777017784
- type: f1
value: 98.8785703018425
- task:
type: Classification
dataset:
type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 90.93935248518011
- type: f1
value: 75.46510480635821
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 82.49831876260927
- type: f1
value: 79.43439001730579
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 84.50235373234702
- type: f1
value: 84.03906668934695
- task:
type: Clustering
dataset:
type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 42.634572576984716
- task:
type: Clustering
dataset:
type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 40.96861872930255
- task:
type: Reranking
dataset:
type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 31.986207669202933
- type: mrr
value: 33.11375583060012
- task:
type: Retrieval
dataset:
type: mteb/nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 6.783
- type: map_at_10
value: 16.276
- type: map_at_100
value: 21.324
- type: map_at_1000
value: 23.166
- type: map_at_20
value: 18.383
- type: map_at_3
value: 11.296000000000001
- type: map_at_5
value: 13.504
- type: mrr_at_1
value: 53.559999999999995
- type: mrr_at_10
value: 61.589000000000006
- type: mrr_at_100
value: 62.11600000000001
- type: mrr_at_1000
value: 62.158
- type: mrr_at_20
value: 61.976
- type: mrr_at_3
value: 59.855999999999995
- type: mrr_at_5
value: 60.877
- type: ndcg_at_1
value: 50.15500000000001
- type: ndcg_at_10
value: 42.598
- type: ndcg_at_100
value: 39.15
- type: ndcg_at_1000
value: 47.888999999999996
- type: ndcg_at_20
value: 39.956
- type: ndcg_at_3
value: 46.836
- type: ndcg_at_5
value: 45.001000000000005
- type: precision_at_1
value: 52.322
- type: precision_at_10
value: 32.601
- type: precision_at_100
value: 10.145999999999999
- type: precision_at_1000
value: 2.358
- type: precision_at_20
value: 24.025
- type: precision_at_3
value: 44.169000000000004
- type: precision_at_5
value: 39.628
- type: recall_at_1
value: 6.783
- type: recall_at_10
value: 21.175
- type: recall_at_100
value: 40.097
- type: recall_at_1000
value: 71.65
- type: recall_at_20
value: 26.465
- type: recall_at_3
value: 12.589
- type: recall_at_5
value: 15.867999999999999
- task:
type: Retrieval
dataset:
type: mteb/nq
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 43.376
- type: map_at_10
value: 60.968
- type: map_at_100
value: 61.614999999999995
- type: map_at_1000
value: 61.626000000000005
- type: map_at_20
value: 61.441
- type: map_at_3
value: 56.858
- type: map_at_5
value: 59.476
- type: mrr_at_1
value: 48.841
- type: mrr_at_10
value: 63.366
- type: mrr_at_100
value: 63.79
- type: mrr_at_1000
value: 63.797000000000004
- type: mrr_at_20
value: 63.682
- type: mrr_at_3
value: 60.535000000000004
- type: mrr_at_5
value: 62.348000000000006
- type: ndcg_at_1
value: 48.841
- type: ndcg_at_10
value: 68.362
- type: ndcg_at_100
value: 70.799
- type: ndcg_at_1000
value: 71.004
- type: ndcg_at_20
value: 69.804
- type: ndcg_at_3
value: 61.251
- type: ndcg_at_5
value: 65.28500000000001
- type: precision_at_1
value: 48.841
- type: precision_at_10
value: 10.588000000000001
- type: precision_at_100
value: 1.194
- type: precision_at_1000
value: 0.121
- type: precision_at_20
value: 5.646
- type: precision_at_3
value: 27.298000000000002
- type: precision_at_5
value: 18.841
- type: recall_at_1
value: 43.376
- type: recall_at_10
value: 88.053
- type: recall_at_100
value: 98.194
- type: recall_at_1000
value: 99.67200000000001
- type: recall_at_20
value: 93.318
- type: recall_at_3
value: 70.281
- type: recall_at_5
value: 79.28
- task:
type: Retrieval
dataset:
type: mteb/quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
metrics:
- type: map_at_1
value: 71.477
- type: map_at_10
value: 85.548
- type: map_at_100
value: 86.187
- type: map_at_1000
value: 86.199
- type: map_at_20
value: 85.971
- type: map_at_3
value: 82.50999999999999
- type: map_at_5
value: 84.447
- type: mrr_at_1
value: 82.35
- type: mrr_at_10
value: 88.039
- type: mrr_at_100
value: 88.14699999999999
- type: mrr_at_1000
value: 88.14699999999999
- type: mrr_at_20
value: 88.12100000000001
- type: mrr_at_3
value: 87.048
- type: mrr_at_5
value: 87.73100000000001
- type: ndcg_at_1
value: 82.35
- type: ndcg_at_10
value: 89.024
- type: ndcg_at_100
value: 90.18599999999999
- type: ndcg_at_1000
value: 90.245
- type: ndcg_at_20
value: 89.67399999999999
- type: ndcg_at_3
value: 86.167
- type: ndcg_at_5
value: 87.779
- type: precision_at_1
value: 82.35
- type: precision_at_10
value: 13.565
- type: precision_at_100
value: 1.544
- type: precision_at_1000
value: 0.157
- type: precision_at_20
value: 7.2010000000000005
- type: precision_at_3
value: 37.773
- type: precision_at_5
value: 24.924
- type: recall_at_1
value: 71.477
- type: recall_at_10
value: 95.821
- type: recall_at_100
value: 99.737
- type: recall_at_1000
value: 99.98599999999999
- type: recall_at_20
value: 97.90100000000001
- type: recall_at_3
value: 87.61
- type: recall_at_5
value: 92.135
- task:
type: Clustering
dataset:
type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 66.43811157811552
- task:
type: Clustering
dataset:
type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
metrics:
- type: v_measure
value: 69.56403346330322
- task:
type: Retrieval
dataset:
type: mteb/scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
metrics:
- type: map_at_1
value: 6.253
- type: map_at_10
value: 17.379
- type: map_at_100
value: 20.51
- type: map_at_1000
value: 20.881
- type: map_at_20
value: 18.983
- type: map_at_3
value: 12.061
- type: map_at_5
value: 14.546000000000001
- type: mrr_at_1
value: 30.8
- type: mrr_at_10
value: 43.814
- type: mrr_at_100
value: 44.883
- type: mrr_at_1000
value: 44.906
- type: mrr_at_20
value: 44.555
- type: mrr_at_3
value: 40.416999999999994
- type: mrr_at_5
value: 42.482
- type: ndcg_at_1
value: 30.8
- type: ndcg_at_10
value: 27.694999999999997
- type: ndcg_at_100
value: 38.248
- type: ndcg_at_1000
value: 43.547000000000004
- type: ndcg_at_20
value: 31.573
- type: ndcg_at_3
value: 26.239
- type: ndcg_at_5
value: 22.817999999999998
- type: precision_at_1
value: 30.8
- type: precision_at_10
value: 14.540000000000001
- type: precision_at_100
value: 2.9690000000000003
- type: precision_at_1000
value: 0.422
- type: precision_at_20
value: 9.5
- type: precision_at_3
value: 24.967
- type: precision_at_5
value: 20.22
- type: recall_at_1
value: 6.253
- type: recall_at_10
value: 29.465000000000003
- type: recall_at_100
value: 60.28
- type: recall_at_1000
value: 85.712
- type: recall_at_20
value: 38.578
- type: recall_at_3
value: 15.201999999999998
- type: recall_at_5
value: 20.507
- task:
type: STS
dataset:
type: mteb/sickr-sts
name: MTEB SICK-R
config: default
split: test
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
metrics:
- type: cos_sim_pearson
value: 86.88263045065128
- type: cos_sim_spearman
value: 83.2199052396249
- type: euclidean_pearson
value: 83.89316748784084
- type: euclidean_spearman
value: 82.80089923470608
- type: manhattan_pearson
value: 83.79340504513027
- type: manhattan_spearman
value: 82.57647453394455
- task:
type: STS
dataset:
type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 87.23417612553622
- type: cos_sim_spearman
value: 79.40077017685032
- type: euclidean_pearson
value: 82.98069591415172
- type: euclidean_spearman
value: 77.72626690650102
- type: manhattan_pearson
value: 83.2549008896714
- type: manhattan_spearman
value: 77.97517379409553
- task:
type: STS
dataset:
type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 89.94319057478221
- type: cos_sim_spearman
value: 89.57673217959568
- type: euclidean_pearson
value: 88.52164819479393
- type: euclidean_spearman
value: 89.28792930444656
- type: manhattan_pearson
value: 88.63748131889201
- type: manhattan_spearman
value: 89.5337354128652
- task:
type: STS
dataset:
type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 87.0002285020644
- type: cos_sim_spearman
value: 84.85558709405255
- type: euclidean_pearson
value: 85.76743275817024
- type: euclidean_spearman
value: 84.7900299161083
- type: manhattan_pearson
value: 85.81372778099167
- type: manhattan_spearman
value: 84.88975144080597
- task:
type: STS
dataset:
type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 89.90992300865088
- type: cos_sim_spearman
value: 89.89952259773258
- type: euclidean_pearson
value: 88.95472170794739
- type: euclidean_spearman
value: 89.79840257558794
- type: manhattan_pearson
value: 89.00903847816028
- type: manhattan_spearman
value: 89.99292271664685
- task:
type: STS
dataset:
type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 85.75044299994977
- type: cos_sim_spearman
value: 86.31137676221347
- type: euclidean_pearson
value: 85.03198959400133
- type: euclidean_spearman
value: 85.62611072515675
- type: manhattan_pearson
value: 85.11681545306745
- type: manhattan_spearman
value: 85.75766564037835
- 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: 91.85595137809975
- type: cos_sim_spearman
value: 91.19454529401669
- type: euclidean_pearson
value: 90.88727698604517
- type: euclidean_spearman
value: 90.93184869101279
- type: manhattan_pearson
value: 90.79591587599141
- type: manhattan_spearman
value: 90.75783237234161
- task:
type: STS
dataset:
type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 71.60579944207497
- type: cos_sim_spearman
value: 70.08286575049202
- type: euclidean_pearson
value: 71.83195353568124
- type: euclidean_spearman
value: 70.3030975376705
- type: manhattan_pearson
value: 71.80222200714064
- type: manhattan_spearman
value: 70.04005646739672
- task:
type: STS
dataset:
type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 89.65716781275425
- type: cos_sim_spearman
value: 89.90701888074334
- type: euclidean_pearson
value: 88.50498754631819
- type: euclidean_spearman
value: 88.88763469318933
- type: manhattan_pearson
value: 88.58398429591064
- type: manhattan_spearman
value: 89.0138386837653
- task:
type: Reranking
dataset:
type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 89.26199160020026
- type: mrr
value: 96.86981772766087
- task:
type: Retrieval
dataset:
type: mteb/scifact
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 62.827999999999996
- type: map_at_10
value: 74.028
- type: map_at_100
value: 74.264
- type: map_at_1000
value: 74.274
- type: map_at_20
value: 74.18599999999999
- type: map_at_3
value: 70.787
- type: map_at_5
value: 72.87
- type: mrr_at_1
value: 66.333
- type: mrr_at_10
value: 74.894
- type: mrr_at_100
value: 75.09599999999999
- type: mrr_at_1000
value: 75.105
- type: mrr_at_20
value: 75.024
- type: mrr_at_3
value: 72.833
- type: mrr_at_5
value: 73.917
- type: ndcg_at_1
value: 66.333
- type: ndcg_at_10
value: 78.82000000000001
- type: ndcg_at_100
value: 79.95
- type: ndcg_at_1000
value: 80.207
- type: ndcg_at_20
value: 79.324
- type: ndcg_at_3
value: 73.87899999999999
- type: ndcg_at_5
value: 76.399
- type: precision_at_1
value: 66.333
- type: precision_at_10
value: 10.5
- type: precision_at_100
value: 1.11
- type: precision_at_1000
value: 0.11299999999999999
- type: precision_at_20
value: 5.367
- type: precision_at_3
value: 29.110999999999997
- type: precision_at_5
value: 19.333
- type: recall_at_1
value: 62.827999999999996
- type: recall_at_10
value: 92.667
- type: recall_at_100
value: 98
- type: recall_at_1000
value: 100
- type: recall_at_20
value: 94.5
- type: recall_at_3
value: 79.5
- type: recall_at_5
value: 85.739
- task:
type: PairClassification
dataset:
type: mteb/sprintduplicatequestions-pairclassification
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.85940594059406
- type: cos_sim_ap
value: 96.72065839344104
- type: cos_sim_f1
value: 92.85714285714286
- type: cos_sim_precision
value: 93.42105263157895
- type: cos_sim_recall
value: 92.30000000000001
- type: dot_accuracy
value: 99.84752475247525
- type: dot_ap
value: 96.41536649209695
- type: dot_f1
value: 92.24572004028197
- type: dot_precision
value: 92.90060851926978
- type: dot_recall
value: 91.60000000000001
- type: euclidean_accuracy
value: 99.86039603960396
- type: euclidean_ap
value: 96.63078081708719
- type: euclidean_f1
value: 92.87518948964124
- type: euclidean_precision
value: 93.87129724208376
- type: euclidean_recall
value: 91.9
- type: manhattan_accuracy
value: 99.86435643564356
- type: manhattan_ap
value: 96.71272943532432
- type: manhattan_f1
value: 93.05625950329447
- type: manhattan_precision
value: 94.34737923946557
- type: manhattan_recall
value: 91.8
- type: max_accuracy
value: 99.86435643564356
- type: max_ap
value: 96.72065839344104
- type: max_f1
value: 93.05625950329447
- task:
type: Clustering
dataset:
type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 75.95483275621876
- task:
type: Clustering
dataset:
type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 46.20364113200157
- task:
type: Reranking
dataset:
type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 56.2577092438525
- type: mrr
value: 57.40251782531194
- task:
type: Summarization
dataset:
type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.492357459875645
- type: cos_sim_spearman
value: 30.868968719156825
- type: dot_pearson
value: 29.44619482351129
- type: dot_spearman
value: 31.295984532577215
- task:
type: Retrieval
dataset:
type: mteb/trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
metrics:
- type: map_at_1
value: 0.22200000000000003
- type: map_at_10
value: 1.9290000000000003
- type: map_at_100
value: 12.435
- type: map_at_1000
value: 32.352
- type: map_at_20
value: 3.496
- type: map_at_3
value: 0.637
- type: map_at_5
value: 1.016
- type: mrr_at_1
value: 86
- type: mrr_at_10
value: 92.333
- type: mrr_at_100
value: 92.333
- type: mrr_at_1000
value: 92.333
- type: mrr_at_20
value: 92.333
- type: mrr_at_3
value: 92
- type: mrr_at_5
value: 92
- type: ndcg_at_1
value: 81
- type: ndcg_at_10
value: 75.32900000000001
- type: ndcg_at_100
value: 62.756
- type: ndcg_at_1000
value: 59.232
- type: ndcg_at_20
value: 73.393
- type: ndcg_at_3
value: 78.469
- type: ndcg_at_5
value: 76.953
- type: precision_at_1
value: 86
- type: precision_at_10
value: 79.4
- type: precision_at_100
value: 64.94
- type: precision_at_1000
value: 26.332
- type: precision_at_20
value: 77.3
- type: precision_at_3
value: 82.667
- type: precision_at_5
value: 80.4
- type: recall_at_1
value: 0.22200000000000003
- type: recall_at_10
value: 2.113
- type: recall_at_100
value: 16.02
- type: recall_at_1000
value: 57.227
- type: recall_at_20
value: 4.036
- type: recall_at_3
value: 0.6689999999999999
- type: recall_at_5
value: 1.076
- task:
type: Retrieval
dataset:
type: mteb/touche2020
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.83
- type: map_at_10
value: 8.981
- type: map_at_100
value: 14.796000000000001
- type: map_at_1000
value: 16.451999999999998
- type: map_at_20
value: 11.361
- type: map_at_3
value: 5.143
- type: map_at_5
value: 6.537
- type: mrr_at_1
value: 36.735
- type: mrr_at_10
value: 50.99399999999999
- type: mrr_at_100
value: 51.775000000000006
- type: mrr_at_1000
value: 51.775000000000006
- type: mrr_at_20
value: 51.39
- type: mrr_at_3
value: 47.278999999999996
- type: mrr_at_5
value: 49.626
- type: ndcg_at_1
value: 34.694
- type: ndcg_at_10
value: 24.061
- type: ndcg_at_100
value: 35.832
- type: ndcg_at_1000
value: 47.875
- type: ndcg_at_20
value: 25.022
- type: ndcg_at_3
value: 27.939999999999998
- type: ndcg_at_5
value: 25.246000000000002
- type: precision_at_1
value: 36.735
- type: precision_at_10
value: 20.204
- type: precision_at_100
value: 7.224
- type: precision_at_1000
value: 1.516
- type: precision_at_20
value: 15.714
- type: precision_at_3
value: 27.211000000000002
- type: precision_at_5
value: 23.265
- type: recall_at_1
value: 2.83
- type: recall_at_10
value: 14.564
- type: recall_at_100
value: 45.251000000000005
- type: recall_at_1000
value: 81.849
- type: recall_at_20
value: 22.31
- type: recall_at_3
value: 6.065
- type: recall_at_5
value: 8.588
- task:
type: Classification
dataset:
type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
metrics:
- type: accuracy
value: 91.17320000000001
- type: ap
value: 41.18509354980418
- type: f1
value: 77.77470860794351
- task:
type: Classification
dataset:
type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 77.92869269949067
- type: f1
value: 78.23271267071486
- task:
type: Clustering
dataset:
type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 59.59735858830448
- task:
type: PairClassification
dataset:
type: mteb/twittersemeval2015-pairclassification
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 87.81069321094355
- type: cos_sim_ap
value: 79.1522153826438
- type: cos_sim_f1
value: 72.83363802559415
- type: cos_sim_precision
value: 67.678369195923
- type: cos_sim_recall
value: 78.83905013192613
- type: dot_accuracy
value: 87.369613160875
- type: dot_ap
value: 78.51617049363121
- type: dot_f1
value: 71.89735998026153
- type: dot_precision
value: 67.516218721038
- type: dot_recall
value: 76.88654353562005
- type: euclidean_accuracy
value: 87.72724563390356
- type: euclidean_ap
value: 78.45799796334607
- type: euclidean_f1
value: 72.7159880834161
- type: euclidean_precision
value: 68.65916549460853
- type: euclidean_recall
value: 77.28232189973615
- type: manhattan_accuracy
value: 87.57823210347499
- type: manhattan_ap
value: 78.24705251626389
- type: manhattan_f1
value: 72.34365129500948
- type: manhattan_precision
value: 69.4060606060606
- type: manhattan_recall
value: 75.54089709762533
- type: max_accuracy
value: 87.81069321094355
- type: max_ap
value: 79.1522153826438
- type: max_f1
value: 72.83363802559415
- task:
type: PairClassification
dataset:
type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 89.76597974152986
- type: cos_sim_ap
value: 87.15717597277224
- type: cos_sim_f1
value: 79.71815316150567
- type: cos_sim_precision
value: 76.89776060671103
- type: cos_sim_recall
value: 82.75331074838313
- type: dot_accuracy
value: 89.49237396670159
- type: dot_ap
value: 86.69824401657353
- type: dot_f1
value: 79.39796433985418
- type: dot_precision
value: 74.7316211441772
- type: dot_recall
value: 84.68586387434554
- type: euclidean_accuracy
value: 89.65149221872937
- type: euclidean_ap
value: 86.98932847862545
- type: euclidean_f1
value: 79.65759212314929
- type: euclidean_precision
value: 76.17876466868105
- type: euclidean_recall
value: 83.46935632891899
- type: manhattan_accuracy
value: 89.63402802033609
- type: manhattan_ap
value: 86.99550128469285
- type: manhattan_f1
value: 79.61443655494647
- type: manhattan_precision
value: 76.23476361586697
- type: manhattan_recall
value: 83.30766861718509
- type: max_accuracy
value: 89.76597974152986
- type: max_ap
value: 87.15717597277224
- type: max_f1
value: 79.71815316150567
Model Details:
This embedding model is a fine-tuned 10.7B parameter LLM on the Intel Gaudi 2 processor using the upstage/SOLAR-10.7B-v1.0.
Date
July, 2024
Training Details
Two stage training:
- General Text Embedding Training
- Specific domains Emebedding Training
More technical details will be updated later.
Evaluation
The results of (MTEB)[https://huggingface.co/spaces/mteb/leaderboard] (English):
| Model Name | MTEB(56) | |
|---|---|---|
| bge-base-en-1.5 | 64.23 | |
| bge-large-en-1.5 | 63.55 | |
| gte-large-en-v1.5 | 65.39 | |
| gte-base-en-v1.5 | 64.11 | |
| mxbai-embed-large-v1 | 64.68 | |
| multilingual-e5-base | 59.45 | |
| multilingual-e5-large | 61.50 | |
| e5-mistral-7b-instruct | 66.63 | |
| gte-Qwen1.5-7B-instruct | 67.34 | |
| NV-Embed-v1 | 69.32 | |
| neural-embedding-v1 | 69.94 |