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Add Sentence Transformers support (#2)
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---
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags:
- feature-extraction
- sentence-similarity
- mteb
- transformers
- transformers.js
license: apache-2.0
language:
- en
inference: false
model-index:
- name: epoch_0_model
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 76.98507462686568
- type: ap
value: 39.47222193126652
- type: f1
value: 70.5923611893019
- task:
type: Classification
dataset:
type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 87.540175
- type: ap
value: 83.16128207188409
- type: f1
value: 87.5231988227265
- task:
type: Classification
dataset:
type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 46.80799999999999
- type: f1
value: 46.2632547445265
- task:
type: Retrieval
dataset:
type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 30.583
- type: map_at_10
value: 46.17
- type: map_at_100
value: 47.115
- type: map_at_1000
value: 47.121
- type: map_at_3
value: 41.489
- type: map_at_5
value: 44.046
- type: mrr_at_1
value: 30.939
- type: mrr_at_10
value: 46.289
- type: mrr_at_100
value: 47.241
- type: mrr_at_1000
value: 47.247
- type: mrr_at_3
value: 41.596
- type: mrr_at_5
value: 44.149
- type: ndcg_at_1
value: 30.583
- type: ndcg_at_10
value: 54.812000000000005
- type: ndcg_at_100
value: 58.605
- type: ndcg_at_1000
value: 58.753
- type: ndcg_at_3
value: 45.095
- type: ndcg_at_5
value: 49.744
- type: precision_at_1
value: 30.583
- type: precision_at_10
value: 8.243
- type: precision_at_100
value: 0.984
- type: precision_at_1000
value: 0.1
- type: precision_at_3
value: 18.516
- type: precision_at_5
value: 13.385
- type: recall_at_1
value: 30.583
- type: recall_at_10
value: 82.432
- type: recall_at_100
value: 98.43499999999999
- type: recall_at_1000
value: 99.57300000000001
- type: recall_at_3
value: 55.547999999999995
- type: recall_at_5
value: 66.927
- task:
type: Clustering
dataset:
type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 45.17830107652425
- task:
type: Clustering
dataset:
type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 35.90561364087807
- task:
type: Reranking
dataset:
type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 59.57222651819297
- type: mrr
value: 73.19241085169062
- task:
type: STS
dataset:
type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 89.55181686367382
- type: cos_sim_spearman
value: 87.18933606575987
- type: euclidean_pearson
value: 87.78077503434338
- type: euclidean_spearman
value: 87.18933606575987
- type: manhattan_pearson
value: 87.75124980168601
- type: manhattan_spearman
value: 86.79113422137638
- task:
type: Classification
dataset:
type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 81.09415584415585
- type: f1
value: 80.60088693212091
- task:
type: Clustering
dataset:
type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 36.57061229905462
- task:
type: Clustering
dataset:
type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 32.05342946608653
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 34.376
- type: map_at_10
value: 45.214
- type: map_at_100
value: 46.635
- type: map_at_1000
value: 46.755
- type: map_at_3
value: 42.198
- type: map_at_5
value: 43.723
- type: mrr_at_1
value: 41.774
- type: mrr_at_10
value: 51.07000000000001
- type: mrr_at_100
value: 51.785000000000004
- type: mrr_at_1000
value: 51.824999999999996
- type: mrr_at_3
value: 48.808
- type: mrr_at_5
value: 50.11
- type: ndcg_at_1
value: 41.774
- type: ndcg_at_10
value: 51.105999999999995
- type: ndcg_at_100
value: 56.358
- type: ndcg_at_1000
value: 58.205
- type: ndcg_at_3
value: 46.965
- type: ndcg_at_5
value: 48.599
- type: precision_at_1
value: 41.774
- type: precision_at_10
value: 9.514
- type: precision_at_100
value: 1.508
- type: precision_at_1000
value: 0.196
- type: precision_at_3
value: 22.175
- type: precision_at_5
value: 15.508
- type: recall_at_1
value: 34.376
- type: recall_at_10
value: 61.748000000000005
- type: recall_at_100
value: 84.025
- type: recall_at_1000
value: 95.5
- type: recall_at_3
value: 49.378
- type: recall_at_5
value: 54.276
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 32.394
- type: map_at_10
value: 42.707
- type: map_at_100
value: 43.893
- type: map_at_1000
value: 44.019000000000005
- type: map_at_3
value: 39.51
- type: map_at_5
value: 41.381
- type: mrr_at_1
value: 41.019
- type: mrr_at_10
value: 49.042
- type: mrr_at_100
value: 49.669000000000004
- type: mrr_at_1000
value: 49.712
- type: mrr_at_3
value: 46.921
- type: mrr_at_5
value: 48.192
- type: ndcg_at_1
value: 41.019
- type: ndcg_at_10
value: 48.46
- type: ndcg_at_100
value: 52.537
- type: ndcg_at_1000
value: 54.491
- type: ndcg_at_3
value: 44.232
- type: ndcg_at_5
value: 46.305
- type: precision_at_1
value: 41.019
- type: precision_at_10
value: 9.134
- type: precision_at_100
value: 1.422
- type: precision_at_1000
value: 0.188
- type: precision_at_3
value: 21.38
- type: precision_at_5
value: 15.096000000000002
- type: recall_at_1
value: 32.394
- type: recall_at_10
value: 58.11500000000001
- type: recall_at_100
value: 75.509
- type: recall_at_1000
value: 87.812
- type: recall_at_3
value: 45.476
- type: recall_at_5
value: 51.549
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 43.47
- type: map_at_10
value: 55.871
- type: map_at_100
value: 56.745000000000005
- type: map_at_1000
value: 56.794
- type: map_at_3
value: 52.439
- type: map_at_5
value: 54.412000000000006
- type: mrr_at_1
value: 49.592000000000006
- type: mrr_at_10
value: 59.34199999999999
- type: mrr_at_100
value: 59.857000000000006
- type: mrr_at_1000
value: 59.88
- type: mrr_at_3
value: 56.897
- type: mrr_at_5
value: 58.339
- type: ndcg_at_1
value: 49.592000000000006
- type: ndcg_at_10
value: 61.67
- type: ndcg_at_100
value: 65.11099999999999
- type: ndcg_at_1000
value: 66.065
- type: ndcg_at_3
value: 56.071000000000005
- type: ndcg_at_5
value: 58.84700000000001
- type: precision_at_1
value: 49.592000000000006
- type: precision_at_10
value: 9.774
- type: precision_at_100
value: 1.2449999999999999
- type: precision_at_1000
value: 0.13699999999999998
- type: precision_at_3
value: 24.66
- type: precision_at_5
value: 16.878
- type: recall_at_1
value: 43.47
- type: recall_at_10
value: 75.387
- type: recall_at_100
value: 90.253
- type: recall_at_1000
value: 97.00800000000001
- type: recall_at_3
value: 60.616
- type: recall_at_5
value: 67.31899999999999
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 26.633000000000003
- type: map_at_10
value: 35.497
- type: map_at_100
value: 36.504
- type: map_at_1000
value: 36.574
- type: map_at_3
value: 33.115
- type: map_at_5
value: 34.536
- type: mrr_at_1
value: 28.927000000000003
- type: mrr_at_10
value: 37.778
- type: mrr_at_100
value: 38.634
- type: mrr_at_1000
value: 38.690000000000005
- type: mrr_at_3
value: 35.518
- type: mrr_at_5
value: 36.908
- type: ndcg_at_1
value: 28.927000000000003
- type: ndcg_at_10
value: 40.327
- type: ndcg_at_100
value: 45.321
- type: ndcg_at_1000
value: 47.214
- type: ndcg_at_3
value: 35.762
- type: ndcg_at_5
value: 38.153999999999996
- type: precision_at_1
value: 28.927000000000003
- type: precision_at_10
value: 6.045
- type: precision_at_100
value: 0.901
- type: precision_at_1000
value: 0.11
- type: precision_at_3
value: 15.140999999999998
- type: precision_at_5
value: 10.485999999999999
- type: recall_at_1
value: 26.633000000000003
- type: recall_at_10
value: 52.99
- type: recall_at_100
value: 76.086
- type: recall_at_1000
value: 90.46300000000001
- type: recall_at_3
value: 40.738
- type: recall_at_5
value: 46.449
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 17.521
- type: map_at_10
value: 25.130000000000003
- type: map_at_100
value: 26.176
- type: map_at_1000
value: 26.289
- type: map_at_3
value: 22.829
- type: map_at_5
value: 24.082
- type: mrr_at_1
value: 21.766
- type: mrr_at_10
value: 29.801
- type: mrr_at_100
value: 30.682
- type: mrr_at_1000
value: 30.75
- type: mrr_at_3
value: 27.633000000000003
- type: mrr_at_5
value: 28.858
- type: ndcg_at_1
value: 21.766
- type: ndcg_at_10
value: 30.026000000000003
- type: ndcg_at_100
value: 35.429
- type: ndcg_at_1000
value: 38.236
- type: ndcg_at_3
value: 25.968000000000004
- type: ndcg_at_5
value: 27.785
- type: precision_at_1
value: 21.766
- type: precision_at_10
value: 5.498
- type: precision_at_100
value: 0.9450000000000001
- type: precision_at_1000
value: 0.133
- type: precision_at_3
value: 12.687000000000001
- type: precision_at_5
value: 9.005
- type: recall_at_1
value: 17.521
- type: recall_at_10
value: 40.454
- type: recall_at_100
value: 64.828
- type: recall_at_1000
value: 84.83800000000001
- type: recall_at_3
value: 28.758
- type: recall_at_5
value: 33.617000000000004
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 30.564999999999998
- type: map_at_10
value: 40.664
- type: map_at_100
value: 41.995
- type: map_at_1000
value: 42.104
- type: map_at_3
value: 37.578
- type: map_at_5
value: 39.247
- type: mrr_at_1
value: 37.44
- type: mrr_at_10
value: 46.533
- type: mrr_at_100
value: 47.363
- type: mrr_at_1000
value: 47.405
- type: mrr_at_3
value: 44.224999999999994
- type: mrr_at_5
value: 45.549
- type: ndcg_at_1
value: 37.44
- type: ndcg_at_10
value: 46.574
- type: ndcg_at_100
value: 52.024
- type: ndcg_at_1000
value: 53.93900000000001
- type: ndcg_at_3
value: 41.722
- type: ndcg_at_5
value: 43.973
- type: precision_at_1
value: 37.44
- type: precision_at_10
value: 8.344999999999999
- type: precision_at_100
value: 1.278
- type: precision_at_1000
value: 0.16
- type: precision_at_3
value: 19.442
- type: precision_at_5
value: 13.802
- type: recall_at_1
value: 30.564999999999998
- type: recall_at_10
value: 58.207
- type: recall_at_100
value: 81.137
- type: recall_at_1000
value: 93.506
- type: recall_at_3
value: 44.606
- type: recall_at_5
value: 50.373000000000005
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 27.892
- type: map_at_10
value: 37.251
- type: map_at_100
value: 38.606
- type: map_at_1000
value: 38.716
- type: map_at_3
value: 34.312
- type: map_at_5
value: 35.791000000000004
- type: mrr_at_1
value: 34.247
- type: mrr_at_10
value: 42.696
- type: mrr_at_100
value: 43.659
- type: mrr_at_1000
value: 43.711
- type: mrr_at_3
value: 40.563
- type: mrr_at_5
value: 41.625
- type: ndcg_at_1
value: 34.247
- type: ndcg_at_10
value: 42.709
- type: ndcg_at_100
value: 48.422
- type: ndcg_at_1000
value: 50.544
- type: ndcg_at_3
value: 38.105
- type: ndcg_at_5
value: 39.846
- type: precision_at_1
value: 34.247
- type: precision_at_10
value: 7.66
- type: precision_at_100
value: 1.2109999999999999
- type: precision_at_1000
value: 0.157
- type: precision_at_3
value: 17.884
- type: precision_at_5
value: 12.489
- type: recall_at_1
value: 27.892
- type: recall_at_10
value: 53.559
- type: recall_at_100
value: 78.018
- type: recall_at_1000
value: 92.07300000000001
- type: recall_at_3
value: 40.154
- type: recall_at_5
value: 45.078
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 27.29375
- type: map_at_10
value: 36.19533333333334
- type: map_at_100
value: 37.33183333333334
- type: map_at_1000
value: 37.44616666666667
- type: map_at_3
value: 33.49125
- type: map_at_5
value: 34.94166666666667
- type: mrr_at_1
value: 32.336666666666666
- type: mrr_at_10
value: 40.45983333333333
- type: mrr_at_100
value: 41.26533333333334
- type: mrr_at_1000
value: 41.321583333333336
- type: mrr_at_3
value: 38.23416666666667
- type: mrr_at_5
value: 39.48491666666666
- type: ndcg_at_1
value: 32.336666666666666
- type: ndcg_at_10
value: 41.39958333333333
- type: ndcg_at_100
value: 46.293
- type: ndcg_at_1000
value: 48.53425
- type: ndcg_at_3
value: 36.88833333333333
- type: ndcg_at_5
value: 38.90733333333333
- type: precision_at_1
value: 32.336666666666666
- type: precision_at_10
value: 7.175916666666667
- type: precision_at_100
value: 1.1311666666666669
- type: precision_at_1000
value: 0.15141666666666667
- type: precision_at_3
value: 16.841166666666666
- type: precision_at_5
value: 11.796583333333334
- type: recall_at_1
value: 27.29375
- type: recall_at_10
value: 52.514583333333334
- type: recall_at_100
value: 74.128
- type: recall_at_1000
value: 89.64125
- type: recall_at_3
value: 39.83258333333333
- type: recall_at_5
value: 45.126416666666664
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 24.62
- type: map_at_10
value: 31.517
- type: map_at_100
value: 32.322
- type: map_at_1000
value: 32.422000000000004
- type: map_at_3
value: 29.293999999999997
- type: map_at_5
value: 30.403999999999996
- type: mrr_at_1
value: 27.607
- type: mrr_at_10
value: 34.294999999999995
- type: mrr_at_100
value: 35.045
- type: mrr_at_1000
value: 35.114000000000004
- type: mrr_at_3
value: 32.311
- type: mrr_at_5
value: 33.369
- type: ndcg_at_1
value: 27.607
- type: ndcg_at_10
value: 35.853
- type: ndcg_at_100
value: 39.919
- type: ndcg_at_1000
value: 42.452
- type: ndcg_at_3
value: 31.702
- type: ndcg_at_5
value: 33.47
- type: precision_at_1
value: 27.607
- type: precision_at_10
value: 5.598
- type: precision_at_100
value: 0.83
- type: precision_at_1000
value: 0.11199999999999999
- type: precision_at_3
value: 13.700999999999999
- type: precision_at_5
value: 9.325
- type: recall_at_1
value: 24.62
- type: recall_at_10
value: 46.475
- type: recall_at_100
value: 64.891
- type: recall_at_1000
value: 83.524
- type: recall_at_3
value: 34.954
- type: recall_at_5
value: 39.471000000000004
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 16.858999999999998
- type: map_at_10
value: 23.746000000000002
- type: map_at_100
value: 24.731
- type: map_at_1000
value: 24.86
- type: map_at_3
value: 21.603
- type: map_at_5
value: 22.811999999999998
- type: mrr_at_1
value: 20.578
- type: mrr_at_10
value: 27.618
- type: mrr_at_100
value: 28.459
- type: mrr_at_1000
value: 28.543000000000003
- type: mrr_at_3
value: 25.533
- type: mrr_at_5
value: 26.730999999999998
- type: ndcg_at_1
value: 20.578
- type: ndcg_at_10
value: 28.147
- type: ndcg_at_100
value: 32.946999999999996
- type: ndcg_at_1000
value: 36.048
- type: ndcg_at_3
value: 24.32
- type: ndcg_at_5
value: 26.131999999999998
- type: precision_at_1
value: 20.578
- type: precision_at_10