metadata
tags:
- mteb
model-index:
- name: .\results\technicolor\Angle_BERT
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 77.94029850746269
- type: ap
value: 41.462497073772475
- type: f1
value: 71.91276160766711
- task:
type: Classification
dataset:
type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 75.998675
- type: ap
value: 70.68601139811975
- type: f1
value: 75.80419607148225
- task:
type: Classification
dataset:
type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 37.184000000000005
- type: f1
value: 36.927927910871034
- task:
type: Retrieval
dataset:
type: mteb/arguana
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 18.208
- type: map_at_10
value: 31.217
- type: map_at_100
value: 32.504
- type: map_at_1000
value: 32.543
- type: map_at_20
value: 32.048
- type: map_at_3
value: 26.790000000000003
- type: map_at_5
value: 29.176000000000002
- type: mrr_at_1
value: 18.990000000000002
- type: mrr_at_10
value: 31.539
- type: mrr_at_100
value: 32.818999999999996
- type: mrr_at_1000
value: 32.857
- type: mrr_at_20
value: 32.363
- type: mrr_at_3
value: 27.003
- type: mrr_at_5
value: 29.518
- type: ndcg_at_1
value: 18.208
- type: ndcg_at_10
value: 38.881
- type: ndcg_at_100
value: 44.931
- type: ndcg_at_1000
value: 45.864
- type: ndcg_at_20
value: 41.823
- type: ndcg_at_3
value: 29.675
- type: ndcg_at_5
value: 33.964
- type: precision_at_1
value: 18.208
- type: precision_at_10
value: 6.358
- type: precision_at_100
value: 0.914
- type: precision_at_1000
value: 0.099
- type: precision_at_20
value: 3.752
- type: precision_at_3
value: 12.684000000000001
- type: precision_at_5
value: 9.687
- type: recall_at_1
value: 18.208
- type: recall_at_10
value: 63.585
- type: recall_at_100
value: 91.39399999999999
- type: recall_at_1000
value: 98.506
- type: recall_at_20
value: 75.036
- type: recall_at_3
value: 38.051
- type: recall_at_5
value: 48.435
- task:
type: Clustering
dataset:
type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 35.32543411547368
- task:
type: Clustering
dataset:
type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 27.664108097727595
- task:
type: Reranking
dataset:
type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 51.337125683605656
- type: mrr
value: 64.09422679505782
- task:
type: Classification
dataset:
type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 75.49675324675324
- type: f1
value: 75.43051473772864
- task:
type: Clustering
dataset:
type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 30.952117397946154
- task:
type: Clustering
dataset:
type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 24.80565572031388
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-android
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 18.148
- type: map_at_10
value: 23.986
- type: map_at_100
value: 25.028
- type: map_at_1000
value: 25.163999999999998
- type: map_at_20
value: 24.526
- type: map_at_3
value: 21.822
- type: map_at_5
value: 22.933
- type: mrr_at_1
value: 23.319000000000003
- type: mrr_at_10
value: 28.944
- type: mrr_at_100
value: 29.837999999999997
- type: mrr_at_1000
value: 29.914
- type: mrr_at_20
value: 29.441
- type: mrr_at_3
value: 26.943
- type: mrr_at_5
value: 27.944999999999997
- type: ndcg_at_1
value: 23.319000000000003
- type: ndcg_at_10
value: 28.249000000000002
- type: ndcg_at_100
value: 33.219
- type: ndcg_at_1000
value: 36.374
- type: ndcg_at_20
value: 29.933
- type: ndcg_at_3
value: 24.845
- type: ndcg_at_5
value: 26.14
- type: precision_at_1
value: 23.319000000000003
- type: precision_at_10
value: 5.351
- type: precision_at_100
value: 0.971
- type: precision_at_1000
value: 0.151
- type: precision_at_20
value: 3.2620000000000005
- type: precision_at_3
value: 11.922
- type: precision_at_5
value: 8.555
- type: recall_at_1
value: 18.148
- type: recall_at_10
value: 36.144999999999996
- type: recall_at_100
value: 58.204
- type: recall_at_1000
value: 79.828
- type: recall_at_20
value: 42.245
- type: recall_at_3
value: 25.701
- type: recall_at_5
value: 29.636000000000003
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-english
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 14.248
- type: map_at_10
value: 19.534000000000002
- type: map_at_100
value: 20.358
- type: map_at_1000
value: 20.464
- type: map_at_20
value: 19.965
- type: map_at_3
value: 17.881
- type: map_at_5
value: 18.773999999999997
- type: mrr_at_1
value: 18.025
- type: mrr_at_10
value: 23.265
- type: mrr_at_100
value: 24.054000000000002
- type: mrr_at_1000
value: 24.122
- type: mrr_at_20
value: 23.702
- type: mrr_at_3
value: 21.624
- type: mrr_at_5
value: 22.5
- type: ndcg_at_1
value: 18.025
- type: ndcg_at_10
value: 23
- type: ndcg_at_100
value: 27.016000000000002
- type: ndcg_at_1000
value: 29.751
- type: ndcg_at_20
value: 24.415
- type: ndcg_at_3
value: 20.222
- type: ndcg_at_5
value: 21.379
- type: precision_at_1
value: 18.025
- type: precision_at_10
value: 4.35
- type: precision_at_100
value: 0.796
- type: precision_at_1000
value: 0.127
- type: precision_at_20
value: 2.662
- type: precision_at_3
value: 9.809
- type: precision_at_5
value: 6.955
- type: recall_at_1
value: 14.248
- type: recall_at_10
value: 29.646
- type: recall_at_100
value: 47.527
- type: recall_at_1000
value: 66.468
- type: recall_at_20
value: 34.873
- type: recall_at_3
value: 21.366
- type: recall_at_5
value: 24.738
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-gaming
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 19.834
- type: map_at_10
value: 27.569
- type: map_at_100
value: 28.601
- type: map_at_1000
value: 28.705000000000002
- type: map_at_20
value: 28.194000000000003
- type: map_at_3
value: 25.352999999999998
- type: map_at_5
value: 26.512
- type: mrr_at_1
value: 23.26
- type: mrr_at_10
value: 30.406
- type: mrr_at_100
value: 31.291000000000004
- type: mrr_at_1000
value: 31.371
- type: mrr_at_20
value: 30.941000000000003
- type: mrr_at_3
value: 28.485
- type: mrr_at_5
value: 29.444
- type: ndcg_at_1
value: 23.26
- type: ndcg_at_10
value: 31.959
- type: ndcg_at_100
value: 36.747
- type: ndcg_at_1000
value: 39.47
- type: ndcg_at_20
value: 33.992
- type: ndcg_at_3
value: 27.839999999999996
- type: ndcg_at_5
value: 29.593999999999998
- type: precision_at_1
value: 23.26
- type: precision_at_10
value: 5.436
- type: precision_at_100
value: 0.8500000000000001
- type: precision_at_1000
value: 0.116
- type: precision_at_20
value: 3.235
- type: precision_at_3
value: 12.684999999999999
- type: precision_at_5
value: 8.853
- type: recall_at_1
value: 19.834
- type: recall_at_10
value: 42.531
- type: recall_at_100
value: 63.963
- type: recall_at_1000
value: 84.174
- type: recall_at_20
value: 50.101
- type: recall_at_3
value: 31.179000000000002
- type: recall_at_5
value: 35.567
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-gis
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 9.263
- type: map_at_10
value: 12.104
- type: map_at_100
value: 12.736
- type: map_at_1000
value: 12.836
- type: map_at_20
value: 12.415
- type: map_at_3
value: 10.891
- type: map_at_5
value: 11.443
- type: mrr_at_1
value: 9.831
- type: mrr_at_10
value: 12.856000000000002
- type: mrr_at_100
value: 13.492
- type: mrr_at_1000
value: 13.587
- type: mrr_at_20
value: 13.178
- type: mrr_at_3
value: 11.62
- type: mrr_at_5
value: 12.218
- type: ndcg_at_1
value: 9.831
- type: ndcg_at_10
value: 14.224
- type: ndcg_at_100
value: 17.78
- type: ndcg_at_1000
value: 21.078
- type: ndcg_at_20
value: 15.329999999999998
- type: ndcg_at_3
value: 11.691
- type: ndcg_at_5
value: 12.692
- type: precision_at_1
value: 9.831
- type: precision_at_10
value: 2.26
- type: precision_at_100
value: 0.43299999999999994
- type: precision_at_1000
value: 0.077
- type: precision_at_20
value: 1.384
- type: precision_at_3
value: 4.7829999999999995
- type: precision_at_5
value: 3.458
- type: recall_at_1
value: 9.263
- type: recall_at_10
value: 20.293
- type: recall_at_100
value: 37.507000000000005
- type: recall_at_1000
value: 63.727000000000004
- type: recall_at_20
value: 24.424
- type: recall_at_3
value: 13.215
- type: recall_at_5
value: 15.661
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-mathematica
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 3.936
- type: map_at_10
value: 5.976
- type: map_at_100
value: 6.619999999999999
- type: map_at_1000
value: 6.737
- type: map_at_20
value: 6.271
- type: map_at_3
value: 5.179
- type: map_at_5
value: 5.5
- type: mrr_at_1
value: 5.348
- type: mrr_at_10
value: 7.954
- type: mrr_at_100
value: 8.683
- type: mrr_at_1000
value: 8.782
- type: mrr_at_20
value: 8.336
- type: mrr_at_3
value: 7.027
- type: mrr_at_5
value: 7.449999999999999
- type: ndcg_at_1
value: 5.348
- type: ndcg_at_10
value: 7.832999999999999
- type: ndcg_at_100
value: 11.567
- type: ndcg_at_1000
value: 15.213
- type: ndcg_at_20
value: 8.996
- type: ndcg_at_3
value: 6.164
- type: ndcg_at_5
value: 6.726
- type: precision_at_1
value: 5.348
- type: precision_at_10
value: 1.617
- type: precision_at_100
value: 0.42300000000000004
- type: precision_at_1000
value: 0.08800000000000001
- type: precision_at_20
value: 1.126
- type: precision_at_3
value: 3.1919999999999997
- type: precision_at_5
value: 2.363
- type: recall_at_1
value: 3.936
- type: recall_at_10
value: 11.711
- type: recall_at_100
value: 28.875
- type: recall_at_1000
value: 56.267
- type: recall_at_20
value: 15.989999999999998
- type: recall_at_3
value: 7.087000000000001
- type: recall_at_5
value: 8.436
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-physics
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 13.367999999999999
- type: map_at_10
value: 19.301
- type: map_at_100
value: 20.374
- type: map_at_1000
value: 20.516000000000002
- type: map_at_20
value: 19.828000000000003
- type: map_at_3
value: 17.345
- type: map_at_5
value: 18.39
- type: mrr_at_1
value: 17.324
- type: mrr_at_10
value: 23.383000000000003
- type: mrr_at_100
value: 24.296
- type: mrr_at_1000
value: 24.375
- type: mrr_at_20
value: 23.866
- type: mrr_at_3
value: 21.238
- type: mrr_at_5
value: 22.336
- type: ndcg_at_1
value: 17.324
- type: ndcg_at_10
value: 23.345
- type: ndcg_at_100
value: 28.645
- type: ndcg_at_1000
value: 31.902
- type: ndcg_at_20
value: 25.113999999999997
- type: ndcg_at_3
value: 19.731
- type: ndcg_at_5
value: 21.271
- type: precision_at_1
value: 17.324
- type: precision_at_10
value: 4.495
- type: precision_at_100
value: 0.874
- type: precision_at_1000
value: 0.13799999999999998
- type: precision_at_20
value: 2.791
- type: precision_at_3
value: 9.464
- type: precision_at_5
value: 6.909999999999999
- type: recall_at_1
value: 13.367999999999999
- type: recall_at_10
value: 31.749
- type: recall_at_100
value: 55.078
- type: recall_at_1000
value: 77.88000000000001
- type: recall_at_20
value: 38.098
- type: recall_at_3
value: 21.356
- type: recall_at_5
value: 25.433
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-programmers
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 10.152
- type: map_at_10
value: 14.658999999999999
- type: map_at_100
value: 15.522
- type: map_at_1000
value: 15.653
- type: map_at_20
value: 15.087
- type: map_at_3
value: 13.099
- type: map_at_5
value: 13.941
- type: mrr_at_1
value: 13.128
- type: mrr_at_10
value: 18.035999999999998
- type: mrr_at_100
value: 18.911
- type: mrr_at_1000
value: 19.003999999999998
- type: mrr_at_20
value: 18.487000000000002
- type: mrr_at_3
value: 16.381
- type: mrr_at_5
value: 17.277
- type: ndcg_at_1
value: 13.128
- type: ndcg_at_10
value: 17.949
- type: ndcg_at_100
value: 22.579
- type: ndcg_at_1000
value: 26.064
- type: ndcg_at_20
value: 19.476
- type: ndcg_at_3
value: 14.975
- type: ndcg_at_5
value: 16.273
- type: precision_at_1
value: 13.128
- type: precision_at_10
value: 3.3329999999999997
- type: precision_at_100
value: 0.683
- type: precision_at_1000
value: 0.116
- type: precision_at_20
value: 2.129
- type: precision_at_3
value: 7.154000000000001
- type: precision_at_5
value: 5.251
- type: recall_at_1
value: 10.152
- type: recall_at_10
value: 24.933
- type: recall_at_100
value: 45.584
- type: recall_at_1000
value: 70.7
- type: recall_at_20
value: 30.361
- type: recall_at_3
value: 16.570999999999998
- type: recall_at_5
value: 19.901
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 10.82375
- type: map_at_10
value: 15.058583333333331
- type: map_at_100
value: 15.841083333333335
- type: map_at_1000
value: 15.952749999999998
- type: map_at_20
value: 15.447583333333334
- type: map_at_3
value: 13.618000000000002
- type: map_at_5
value: 14.369499999999999
- type: mrr_at_1
value: 13.36475
- type: mrr_at_10
value: 17.77841666666667
- type: mrr_at_100
value: 18.528416666666665
- type: mrr_at_1000
value: 18.612583333333333
- type: mrr_at_20
value: 18.169416666666667
- type: mrr_at_3
value: 16.304166666666667
- type: mrr_at_5
value: 17.065166666666666
- type: ndcg_at_1
value: 13.36475
- type: ndcg_at_10
value: 18.002833333333335
- type: ndcg_at_100
value: 22.082583333333332
- type: ndcg_at_1000
value: 25.149166666666666
- type: ndcg_at_20
value: 19.33575
- type: ndcg_at_3
value: 15.334249999999999
- type: ndcg_at_5
value: 16.45558333333333
- type: precision_at_1
value: 13.36475
- type: precision_at_10
value: 3.2900000000000005
- type: precision_at_100
value: 0.6327499999999999
- type: precision_at_1000
value: 0.10600000000000001
- type: precision_at_20
value: 2.032666666666666
- type: precision_at_3
value: 7.209416666666667
- type: precision_at_5
value: 5.204416666666666
- type: recall_at_1
value: 10.82375
- type: recall_at_10
value: 24.346166666666665
- type: recall_at_100
value: 43.067916666666676
- type: recall_at_1000
value: 65.63275
- type: recall_at_20
value: 29.279916666666665
- type: recall_at_3
value: 16.74383333333333
- type: recall_at_5
value: 19.682583333333334
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-stats
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 8.212
- type: map_at_10
value: 11.457
- type: map_at_100
value: 12.033000000000001
- type: map_at_1000
value: 12.113999999999999
- type: map_at_20
value: 11.744
- type: map_at_3
value: 10.365
- type: map_at_5
value: 10.969
- type: mrr_at_1
value: 9.815999999999999
- type: mrr_at_10
value: 13.471
- type: mrr_at_100
value: 14.019
- type: mrr_at_1000
value: 14.097999999999999
- type: mrr_at_20
value: 13.745
- type: mrr_at_3
value: 12.449
- type: mrr_at_5
value: 12.97
- type: ndcg_at_1
value: 9.815999999999999
- type: ndcg_at_10
value: 13.724
- type: ndcg_at_100
value: 16.817
- type: ndcg_at_1000
value: 19.442
- type: ndcg_at_20
value: 14.725
- type: ndcg_at_3
value: 11.700000000000001
- type: ndcg_at_5
value: 12.598
- type: precision_at_1
value: 9.815999999999999
- type: precision_at_10
value: 2.393
- type: precision_at_100
value: 0.428
- type: precision_at_1000
value: 0.07100000000000001
- type: precision_at_20
value: 1.434
- type: precision_at_3
value: 5.624
- type: precision_at_5
value: 3.9570000000000003
- type: recall_at_1
value: 8.212
- type: recall_at_10
value: 18.87
- type: recall_at_100
value: 33.527
- type: recall_at_1000
value: 53.989
- type: recall_at_20
value: 22.631
- type: recall_at_3
value: 13.056000000000001
- type: recall_at_5
value: 15.425
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-tex
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 5.359
- type: map_at_10
value: 7.7170000000000005
- type: map_at_100
value: 8.222
- type: map_at_1000
value: 8.312999999999999
- type: map_at_20
value: 7.961
- type: map_at_3
value: 6.969
- type: map_at_5
value: 7.3870000000000005
- type: mrr_at_1
value: 6.9510000000000005
- type: mrr_at_10
value: 9.697
- type: mrr_at_100
value: 10.26
- type: mrr_at_1000
value: 10.337
- type: mrr_at_20
value: 9.989
- type: mrr_at_3
value: 8.792
- type: mrr_at_5
value: 9.307
- type: ndcg_at_1
value: 6.9510000000000005
- type: ndcg_at_10
value: 9.472999999999999
- type: ndcg_at_100
value: 12.414
- type: ndcg_at_1000
value: 15.122
- type: ndcg_at_20
value: 10.366999999999999
- type: ndcg_at_3
value: 8.071
- type: ndcg_at_5
value: 8.717
- type: precision_at_1
value: 6.9510000000000005
- type: precision_at_10
value: 1.7930000000000001
- type: precision_at_100
value: 0.40099999999999997
- type: precision_at_1000
value: 0.077
- type: precision_at_20
value: 1.158
- type: precision_at_3
value: 3.923
- type: precision_at_5
value: 2.8770000000000002
- type: recall_at_1
value: 5.359
- type: recall_at_10
value: 12.992999999999999
- type: recall_at_100
value: 26.854
- type: recall_at_1000
value: 46.888999999999996
- type: recall_at_20
value: 16.287
- type: recall_at_3
value: 8.919
- type: recall_at_5
value: 10.684000000000001
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-unix
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 9.667
- type: map_at_10
value: 12.515
- type: map_at_100
value: 13.200000000000001
- type: map_at_1000
value: 13.311
- type: map_at_20
value: 12.837000000000002
- type: map_at_3
value: 11.298
- type: map_at_5
value: 11.937000000000001
- type: mrr_at_1
value: 11.567
- type: mrr_at_10
value: 14.940999999999999
- type: mrr_at_100
value: 15.661
- type: mrr_at_1000
value: 15.751999999999999
- type: mrr_at_20
value: 15.283
- type: mrr_at_3
value: 13.511000000000001
- type: mrr_at_5
value: 14.308000000000002
- type: ndcg_at_1
value: 11.567
- type: ndcg_at_10
value: 14.869
- type: ndcg_at_100
value: 18.709999999999997
- type: ndcg_at_1000
value: 21.826999999999998
- type: ndcg_at_20
value: 16.067
- type: ndcg_at_3
value: 12.428
- type: ndcg_at_5
value: 13.542000000000002
- type: precision_at_1
value: 11.567
- type: precision_at_10
value: 2.64
- type: precision_at_100
value: 0.507
- type: precision_at_1000
value: 0.08800000000000001
- type: precision_at_20
value: 1.609
- type: precision_at_3
value: 5.628
- type: precision_at_5
value: 4.216
- type: recall_at_1
value: 9.667
- type: recall_at_10
value: 19.677
- type: recall_at_100
value: 37.668
- type: recall_at_1000
value: 60.687000000000005
- type: recall_at_20
value: 24.236
- type: recall_at_3
value: 13.173000000000002
- type: recall_at_5
value: 15.808
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-webmasters
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 11.129999999999999
- type: map_at_10
value: 15.881
- type: map_at_100
value: 16.759
- type: map_at_1000
value: 16.903000000000002
- type: map_at_20
value: 16.284000000000002
- type: map_at_3
value: 14.23
- type: map_at_5
value: 15.035000000000002
- type: mrr_at_1
value: 14.229
- type: mrr_at_10
value: 19.028
- type: mrr_at_100
value: 19.811999999999998
- type: mrr_at_1000
value: 19.905
- type: mrr_at_20
value: 19.412
- type: mrr_at_3
value: 17.26
- type: mrr_at_5
value: 18.060000000000002
- type: ndcg_at_1
value: 14.229
- type: ndcg_at_10
value: 19.325
- type: ndcg_at_100
value: 23.817
- type: ndcg_at_1000
value: 27.407999999999998
- type: ndcg_at_20
value: 20.612
- type: ndcg_at_3
value: 16.248
- type: ndcg_at_5
value: 17.352
- type: precision_at_1
value: 14.229
- type: precision_at_10
value: 3.834
- type: precision_at_100
value: 0.822
- type: precision_at_1000
value: 0.158
- type: precision_at_20
value: 2.401
- type: precision_at_3
value: 7.707999999999999
- type: precision_at_5
value: 5.731
- type: recall_at_1
value: 11.129999999999999
- type: recall_at_10
value: 26.397
- type: recall_at_100
value: 47.616
- type: recall_at_1000
value: 73.15700000000001
- type: recall_at_20
value: 31.508999999999997
- type: recall_at_3
value: 17.368
- type: recall_at_5
value: 20.287
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-wordpress
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 6.5680000000000005
- type: map_at_10
value: 10.004
- type: map_at_100
value: 10.639999999999999
- type: map_at_1000
value: 10.717
- type: map_at_20
value: 10.259
- type: map_at_3
value: 8.984
- type: map_at_5
value: 9.613
- type: mrr_at_1
value: 7.579
- type: mrr_at_10
value: 11.360000000000001
- type: mrr_at_100
value: 12.024
- type: mrr_at_1000
value: 12.104
- type: mrr_at_20
value: 11.652999999999999
- type: mrr_at_3
value: 10.32
- type: mrr_at_5
value: 10.967
- type: ndcg_at_1
value: 7.579
- type: ndcg_at_10
value: 12.084
- type: ndcg_at_100
value: 15.68
- type: ndcg_at_1000
value: 18.139
- type: ndcg_at_20
value: 13.001999999999999
- type: ndcg_at_3
value: 10.096
- type: ndcg_at_5
value: 11.183
- type: precision_at_1
value: 7.579
- type: precision_at_10
value: 1.978
- type: precision_at_100
value: 0.40499999999999997
- type: precision_at_1000
value: 0.065
- type: precision_at_20
value: 1.201
- type: precision_at_3
value: 4.621
- type: precision_at_5
value: 3.327
- type: recall_at_1
value: 6.5680000000000005
- type: recall_at_10
value: 17.209
- type: recall_at_100
value: 34.412
- type: recall_at_1000
value: 53.827000000000005
- type: recall_at_20
value: 20.604
- type: recall_at_3
value: 11.935
- type: recall_at_5
value: 14.615
- task:
type: Retrieval
dataset:
type: mteb/climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 3.466
- type: map_at_10
value: 6.311
- type: map_at_100
value: 7.385
- type: map_at_1000
value: 7.596
- type: map_at_20
value: 6.844
- type: map_at_3
value: 5.115
- type: map_at_5
value: 5.636
- type: mrr_at_1
value: 7.818
- type: mrr_at_10
value: 13.528
- type: mrr_at_100
value: 14.814
- type: mrr_at_1000
value: 14.902999999999999
- type: mrr_at_20
value: 14.283999999999999
- type: mrr_at_3
value: 11.249
- type: mrr_at_5
value: 12.307
- type: ndcg_at_1
value: 7.818
- type: ndcg_at_10
value: 9.936
- type: ndcg_at_100
value: 15.748000000000001
- type: ndcg_at_1000
value: 20.355
- type: ndcg_at_20
value: 11.927
- type: ndcg_at_3
value: 7.340000000000001
- type: ndcg_at_5
value: 8.089
- type: precision_at_1
value: 7.818
- type: precision_at_10
value: 3.3550000000000004
- type: precision_at_100
value: 0.9610000000000001
- type: precision_at_1000
value: 0.178
- type: precision_at_20
value: 2.511
- type: precision_at_3
value: 5.494000000000001
- type: precision_at_5
value: 4.417
- type: recall_at_1
value: 3.466
- type: recall_at_10
value: 13.292000000000002
- type: recall_at_100
value: 34.287
- type: recall_at_1000
value: 61.207
- type: recall_at_20
value: 19.014
- type: recall_at_3
value: 7.066
- type: recall_at_5
value: 9.028
- task:
type: Classification
dataset:
type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 45.21
- type: f1
value: 40.27450017657594
- task:
type: Classification
dataset:
type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 68.848
- type: ap
value: 63.2883584195492
- type: f1
value: 68.6836564154069
- task:
type: Classification
dataset:
type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 85.37847697218423
- type: f1
value: 84.92640989123367
- task:
type: Classification
dataset:
type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 64.50524395804834
- type: f1
value: 48.40917698378292
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 66.32145258910558
- type: f1
value: 64.84562142367274
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 70.6186953597848
- type: f1
value: 70.54134651579527
- task:
type: Clustering
dataset:
type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 27.349141993223746
- task:
type: Clustering
dataset:
type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 25.585510809207832
- task:
type: Clustering
dataset:
type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 40.32381150443673
- task:
type: Clustering
dataset:
type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
metrics:
- type: v_measure
value: 45.985786847845056
- task:
type: Reranking
dataset:
type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 70.58830468830689
- type: mrr
value: 89.4269474171435
- task:
type: PairClassification
dataset:
type: mteb/sprintduplicatequestions-pairclassification
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.56039603960396
- type: cos_sim_ap
value: 82.80827567304317
- type: cos_sim_f1
value: 76.10350076103501
- type: cos_sim_precision
value: 77.2399588053553
- type: cos_sim_recall
value: 75
- type: dot_accuracy
value: 99.31980198019802
- type: dot_ap
value: 63.62227490198173
- type: dot_f1
value: 60.08492569002123
- type: dot_precision
value: 64.02714932126696
- type: dot_recall
value: 56.599999999999994
- type: euclidean_accuracy
value: 99.58514851485148
- type: euclidean_ap
value: 84.43639703406805
- type: euclidean_f1
value: 77.52928647497338
- type: euclidean_precision
value: 82.91571753986332
- type: euclidean_recall
value: 72.8
- type: manhattan_accuracy
value: 99.58316831683169
- type: manhattan_ap
value: 84.30772142229371
- type: manhattan_f1
value: 77.64584408879712
- type: manhattan_precision
value: 80.25613660618997
- type: manhattan_recall
value: 75.2
- type: max_accuracy
value: 99.58514851485148
- type: max_ap
value: 84.43639703406805
- type: max_f1
value: 77.64584408879712
- task:
type: Clustering
dataset:
type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 48.256973284963735
- task:
type: Clustering
dataset:
type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 28.872051407552323
- task:
type: Reranking
dataset:
type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 40.992315303011075
- type: mrr
value: 41.398027013835836
- task:
type: Classification
dataset:
type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
metrics:
- type: accuracy
value: 67.0849609375
- type: ap
value: 11.788791268631641
- type: f1
value: 50.9803202223727
- task:
type: Classification
dataset:
type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 57.57498585172609
- type: f1
value: 57.91311800407575
- task:
type: Clustering
dataset:
type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 33.06505289570024
- task:
type: PairClassification
dataset:
type: mteb/twittersemeval2015-pairclassification
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.71580139476664
- type: cos_sim_ap
value: 66.15526088864542
- type: cos_sim_f1
value: 62.3031151557578
- type: cos_sim_precision
value: 55.84605731018616
- type: cos_sim_recall
value: 70.44854881266491
- type: dot_accuracy
value: 81.99320498301246
- type: dot_ap
value: 59.10143958693731
- type: dot_f1
value: 59.58787878787878
- type: dot_precision
value: 55.11210762331839
- type: dot_recall
value: 64.85488126649076
- type: euclidean_accuracy
value: 83.59063002920665
- type: euclidean_ap
value: 65.63819065809086
- type: euclidean_f1
value: 61.41935483870967
- type: euclidean_precision
value: 55.29039070749736
- type: euclidean_recall
value: 69.07651715039577
- type: manhattan_accuracy
value: 83.6263932765095
- type: manhattan_ap
value: 65.69964834245273
- type: manhattan_f1
value: 61.52737752161382
- type: manhattan_precision
value: 56.45658880564125
- type: manhattan_recall
value: 67.59894459102902
- type: max_accuracy
value: 83.71580139476664
- type: max_ap
value: 66.15526088864542
- type: max_f1
value: 62.3031151557578
- task:
type: PairClassification
dataset:
type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.99821477083091
- type: cos_sim_ap
value: 84.27684726247264
- type: cos_sim_f1
value: 76.53120888758953
- type: cos_sim_precision
value: 72.83667223149693
- type: cos_sim_recall
value: 80.62057283646443
- type: dot_accuracy
value: 87.04738619164047
- type: dot_ap
value: 80.98829705864014
- type: dot_f1
value: 74.43375169234146
- type: dot_precision
value: 70.9225298096367
- type: dot_recall
value: 78.31074838312288
- type: euclidean_accuracy
value: 87.69744246516863
- type: euclidean_ap
value: 83.50528467088635
- type: euclidean_f1
value: 75.65629784532656
- type: euclidean_precision
value: 73.45370168950764
- type: euclidean_recall
value: 77.99507237449954
- type: manhattan_accuracy
value: 87.6916210657042
- type: manhattan_ap
value: 83.49074793688219
- type: manhattan_f1
value: 75.60462282612708
- type: manhattan_precision
value: 72.63568641362184
- type: manhattan_recall
value: 78.8266091777025
- type: max_accuracy
value: 87.99821477083091
- type: max_ap
value: 84.27684726247264
- type: max_f1
value: 76.53120888758953
Embedding model trained on google-bert/bert-base-uncased with the AnglE-optimized Text Embeddings