pipeline_tag: sentence-similarity tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- transformers.js model-index:
- name: binarize_False
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy value: 78.13432835820896
- type: ap value: 42.190424731303246
- type: f1 value: 72.34446401534811
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy value: 93.093825
- type: ap value: 90.03727505544286
- type: f1 value: 93.0874055138833
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy value: 48.428000000000004
- type: f1 value: 47.74311520203536
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1 value: 23.898
- type: map_at_10 value: 39.775
- type: map_at_100 value: 40.827000000000005
- type: map_at_1000 value: 40.837
- type: map_at_20 value: 40.604
- type: map_at_3 value: 34.519
- type: map_at_5 value: 37.307
- type: mrr_at_1 value: 24.395
- type: mrr_at_10 value: 39.963
- type: mrr_at_100 value: 41.014
- type: mrr_at_1000 value: 41.024
- type: mrr_at_20 value: 40.791
- type: mrr_at_3 value: 34.732
- type: mrr_at_5 value: 37.480999999999995
- type: ndcg_at_1 value: 23.898
- type: ndcg_at_10 value: 48.962
- type: ndcg_at_100 value: 53.386
- type: ndcg_at_1000 value: 53.634
- type: ndcg_at_20 value: 51.898999999999994
- type: ndcg_at_3 value: 38.034
- type: ndcg_at_5 value: 43.036
- type: precision_at_1 value: 23.898
- type: precision_at_10 value: 7.852
- type: precision_at_100 value: 0.9769999999999999
- type: precision_at_1000 value: 0.1
- type: precision_at_20 value: 4.4990000000000006
- type: precision_at_3 value: 16.073999999999998
- type: precision_at_5 value: 12.063
- type: recall_at_1 value: 23.898
- type: recall_at_10 value: 78.521
- type: recall_at_100 value: 97.724
- type: recall_at_1000 value: 99.644
- type: recall_at_20 value: 89.972
- type: recall_at_3 value: 48.222
- type: recall_at_5 value: 60.313
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure value: 47.69067314293749
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- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure value: 38.0916537995626
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- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map value: 62.33195643912506
- type: mrr value: 76.43978366970057
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson value: 81.20285894915236
- type: cos_sim_spearman value: 78.16322678527897
- type: euclidean_pearson value: 80.6118408638417
- type: euclidean_spearman value: 78.19033583671204
- type: manhattan_pearson value: 80.41282660275819
- type: manhattan_spearman value: 77.98611431591628
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy value: 85.25324675324676
- type: f1 value: 85.19854235582687
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure value: 39.65216461057432
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- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure value: 33.28787287895752
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- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1 value: 32.677
- type: map_at_10 value: 43.739
- type: map_at_100 value: 45.152
- type: map_at_1000 value: 45.279
- type: map_at_20 value: 44.553
- type: map_at_3 value: 40.321
- type: map_at_5 value: 42.201
- type: mrr_at_1 value: 40.2
- type: mrr_at_10 value: 49.755
- type: mrr_at_100 value: 50.468
- type: mrr_at_1000 value: 50.513
- type: mrr_at_20 value: 50.192
- type: mrr_at_3 value: 47.163
- type: mrr_at_5 value: 48.686
- type: ndcg_at_1 value: 40.2
- type: ndcg_at_10 value: 49.963
- type: ndcg_at_100 value: 54.978
- type: ndcg_at_1000 value: 56.979
- type: ndcg_at_20 value: 51.983000000000004
- type: ndcg_at_3 value: 45.086999999999996
- type: ndcg_at_5 value: 47.309
- type: precision_at_1 value: 40.2
- type: precision_at_10 value: 9.328
- type: precision_at_100 value: 1.443
- type: precision_at_1000 value: 0.19
- type: precision_at_20 value: 5.558
- type: precision_at_3 value: 21.364
- type: precision_at_5 value: 15.222
- type: recall_at_1 value: 32.677
- type: recall_at_10 value: 61.71
- type: recall_at_100 value: 82.431
- type: recall_at_1000 value: 94.896
- type: recall_at_20 value: 68.73700000000001
- type: recall_at_3 value: 47.431
- type: recall_at_5 value: 53.739000000000004
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1 value: 32.71
- type: map_at_10 value: 43.297000000000004
- type: map_at_100 value: 44.607
- type: map_at_1000 value: 44.729
- type: map_at_20 value: 44.013999999999996
- type: map_at_3 value: 40.213
- type: map_at_5 value: 42.004000000000005
- type: mrr_at_1 value: 40.892
- type: mrr_at_10 value: 49.394
- type: mrr_at_100 value: 50.005
- type: mrr_at_1000 value: 50.043000000000006
- type: mrr_at_20 value: 49.764
- type: mrr_at_3 value: 47.134
- type: mrr_at_5 value: 48.522
- type: ndcg_at_1 value: 40.892
- type: ndcg_at_10 value: 49.047000000000004
- type: ndcg_at_100 value: 53.266999999999996
- type: ndcg_at_1000 value: 55.096999999999994
- type: ndcg_at_20 value: 50.707
- type: ndcg_at_3 value: 44.896
- type: ndcg_at_5 value: 46.983000000000004
- type: precision_at_1 value: 40.892
- type: precision_at_10 value: 9.293
- type: precision_at_100 value: 1.473
- type: precision_at_1000 value: 0.192
- type: precision_at_20 value: 5.446
- type: precision_at_3 value: 21.592
- type: precision_at_5 value: 15.540999999999999
- type: recall_at_1 value: 32.71
- type: recall_at_10 value: 58.592999999999996
- type: recall_at_100 value: 76.242
- type: recall_at_1000 value: 87.717
- type: recall_at_20 value: 64.646
- type: recall_at_3 value: 46.253
- type: recall_at_5 value: 51.946999999999996
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1 value: 41.644999999999996
- type: map_at_10 value: 53.825
- type: map_at_100 value: 54.82
- type: map_at_1000 value: 54.87499999999999
- type: map_at_20 value: 54.43
- type: map_at_3 value: 50.705
- type: map_at_5 value: 52.501
- type: mrr_at_1 value: 47.524
- type: mrr_at_10 value: 57.260999999999996
- type: mrr_at_100 value: 57.902
- type: mrr_at_1000 value: 57.931999999999995
- type: mrr_at_20 value: 57.689
- type: mrr_at_3 value: 55.089
- type: mrr_at_5 value: 56.38999999999999
- type: ndcg_at_1 value: 47.524
- type: ndcg_at_10 value: 59.41499999999999
- type: ndcg_at_100 value: 63.258
- type: ndcg_at_1000 value: 64.376
- type: ndcg_at_20 value: 61.149
- type: ndcg_at_3 value: 54.381
- type: ndcg_at_5 value: 56.89999999999999
- type: precision_at_1 value: 47.524
- type: precision_at_10 value: 9.386
- type: precision_at_100 value: 1.221
- type: precision_at_1000 value: 0.136
- type: precision_at_20 value: 5.223
- type: precision_at_3 value: 24.096
- type: precision_at_5 value: 16.364
- type: recall_at_1 value: 41.644999999999996
- type: recall_at_10 value: 72.386
- type: recall_at_100 value: 88.794
- type: recall_at_1000 value: 96.75399999999999
- type: recall_at_20 value: 78.74
- type: recall_at_3 value: 59.028000000000006
- type: recall_at_5 value: 65.197
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1 value: 28.648
- type: map_at_10 value: 36.388999999999996
- type: map_at_100 value: 37.372
- type: map_at_1000 value: 37.457
- type: map_at_20 value: 36.912
- type: map_at_3 value: 34.076
- type: map_at_5 value: 35.415
- type: mrr_at_1 value: 30.508000000000003
- type: mrr_at_10 value: 38.132
- type: mrr_at_100 value: 39.04
- type: mrr_at_1000 value: 39.106
- type: mrr_at_20 value: 38.643
- type: mrr_at_3 value: 35.876000000000005
- type: mrr_at_5 value: 37.208999999999996
- type: ndcg_at_1 value: 30.508000000000003
- type: ndcg_at_10 value: 40.762
- type: ndcg_at_100 value: 45.732
- type: ndcg_at_1000 value: 47.799
- type: ndcg_at_20 value: 42.591
- type: ndcg_at_3 value: 36.266999999999996
- type: ndcg_at_5 value: 38.58
- type: precision_at_1 value: 30.508000000000003
- type: precision_at_10 value: 6.010999999999999
- type: precision_at_100 value: 0.897
- type: precision_at_1000 value: 0.11100000000000002
- type: precision_at_20 value: 3.412
- type: precision_at_3 value: 14.991
- type: precision_at_5 value: 10.328
- type: recall_at_1 value: 28.648
- type: recall_at_10 value: 52.342999999999996
- type: recall_at_100 value: 75.268
- type: recall_at_1000 value: 90.641
- type: recall_at_20 value: 59.303
- type: recall_at_3 value: 40.447
- type: recall_at_5 value: 46.117000000000004
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1 value: 18.476
- type: map_at_10 value: 27.148
- type: map_at_100 value: 28.317999999999998
- type: map_at_1000 value: 28.427999999999997
- type: map_at_20 value: 27.764
- type: map_at_3 value: 24.801000000000002
- type: map_at_5 value: 26.133
- type: mrr_at_1 value: 22.886
- type: mrr_at_10 value: 31.741000000000003
- type: mrr_at_100 value: 32.708
- type: mrr_at_1000 value: 32.769
- type: mrr_at_20 value: 32.296
- type: mrr_at_3 value: 29.498
- type: mrr_at_5 value: 30.773
- type: ndcg_at_1 value: 22.886
- type: ndcg_at_10 value: 32.265
- type: ndcg_at_100 value: 37.829
- type: ndcg_at_1000 value: 40.558
- type: ndcg_at_20 value: 34.372
- type: ndcg_at_3 value: 28.105000000000004
- type: ndcg_at_5 value: 30.04
- type: precision_at_1 value: 22.886
- type: precision_at_10 value: 5.808
- type: precision_at_100 value: 0.985
- type: precision_at_1000 value: 0.13699999999999998
- type: precision_at_20 value: 3.495
- type: precision_at_3 value: 13.639999999999999
- type: precision_at_5 value: 9.577
- type: recall_at_1 value: 18.476
- type: recall_at_10 value: 43.442
- type: recall_at_100 value: 67.376
- type: recall_at_1000 value: 86.874
- type: recall_at_20 value: 51.038
- type: recall_at_3 value: 31.785999999999998
- type: recall_at_5 value: 36.858999999999995
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1 value: 29.098000000000003
- type: map_at_10 value: 38.97
- type: map_at_100 value: 40.293
- type: map_at_1000 value: 40.397
- type: map_at_20 value: 39.778999999999996
- type: map_at_3 value: 35.723
- type: map_at_5 value: 37.519999999999996
- type: mrr_at_1 value: 35.515
- type: mrr_at_10 value: 44.55
- type: mrr_at_100 value: 45.37
- type: mrr_at_1000 value: 45.412
- type: mrr_at_20 value: 45.054
- type: mrr_at_3 value: 41.835
- type: mrr_at_5 value: 43.356
- type: ndcg_at_1 value: 35.515
- type: ndcg_at_10 value: 44.91
- type: ndcg_at_100 value: 50.27700000000001
- type: ndcg_at_1000 value: 52.215
- type: ndcg_at_20 value: 47.235
- type: ndcg_at_3 value: 39.505
- type: ndcg_at_5 value: 42.016
- type: precision_at_1 value: 35.515
- type: precision_at_10 value: 8.152
- type: precision_at_100 value: 1.262
- type: precision_at_1000 value: 0.16
- type: precision_at_20 value: 4.851
- type: precision_at_3 value: 18.447
- type: precision_at_5 value: 13.321
- type: recall_at_1 value: 29.098000000000003
- type: recall_at_10 value: 57.115
- type: recall_at_100 value: 79.467
- type: recall_at_1000 value: 92.162
- type: recall_at_20 value: 65.161
- type: recall_at_3 value: 42.254000000000005
- type: recall_at_5 value: 48.415
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1 value: 27.372000000000003
- type: map_at_10 value: 37.781
- type: map_at_100 value: 39.128
- type: map_at_1000 value: 39.238
- type: map_at_20 value: 38.592
- type: map_at_3 value: 34.782999999999994
- type: map_at_5 value: 36.466
- type: mrr_at_1 value: 33.904
- type: mrr_at_10 value: 43.15
- type: mrr_at_100 value: 44.049
- type: mrr_at_1000 value: 44.107
- type: mrr_at_20 value: 43.721
- type: mrr_at_3 value: 40.677
- type: mrr_at_5 value: 42.19
- type: ndcg_at_1 value: 33.904
- type: ndcg_at_10 value: 43.527
- type: ndcg_at_100 value: 49.004999999999995
- type: ndcg_at_1000 value: 51.276999999999994
- type: ndcg_at_20 value: 45.988
- type: ndcg_at_3 value: 38.824999999999996
- type: ndcg_at_5 value: 41.04
- type: precision_at_1 value: 33.904
- type: precision_at_10 value: 7.854
- type: precision_at_100 value: 1.2309999999999999
- type: precision_at_1000 value: 0.16
- type: precision_at_20 value: 4.692
- type: precision_at_3 value: 18.531
- type: precision_at_5 value: 13.150999999999998
- type: recall_at_1 value: 27.372000000000003
- type: recall_at_10 value: 55.245999999999995
- type: recall_at_100 value: 78.278
- type: recall_at_1000 value: 93.718
- type: recall_at_20 value: 64.095
- type: recall_at_3 value: 41.665
- type: recall_at_5 value: 47.632000000000005
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1 value: 27.734166666666667
- type: map_at_10 value: 36.858
- type: map_at_100 value: 38.043833333333325
- type: map_at_1000 value: 38.15541666666667
- type: map_at_20 value: 37.521249999999995
- type: map_at_3 value: 34.07658333333333
- type: map_at_5 value: 35.62683333333333
- type: mrr_at_1 value: 32.676249999999996
- type: mrr_at_10 value: 40.999
- type: mrr_at_100 value: 41.835
- type: mrr_at_1000 value: 41.8895
- type: mrr_at_20 value: 41.4865
- type: mrr_at_3 value: 38.645
- type: mrr_at_5 value: 39.99725000000001
- type: ndcg_at_1 value: 32.676249999999996
- type: ndcg_at_10 value: 42.08016666666666
- type: ndcg_at_100 value: 47.082750000000004
- type: ndcg_at_1000 value: 49.276583333333335
- type: ndcg_at_20 value: 44.04808333333334
- type: ndcg_at_3 value: 37.43375
- type: ndcg_at_5 value: 39.623000000000005
- type: precision_at_1 value: 32.676249999999996
- type: precision_at_10 value: 7.271
- type: precision_at_100 value: 1.1458333333333333
- type: precision_at_1000 value: 0.152
- type: precision_at_20 value: 4.282916666666667
- type: precision_at_3 value: 17.061416666666666
- type: precision_at_5 value: 12.05466666666667
- type: recall_at_1 value: 27.734166666666667
- type: recall_at_10 value: 53.33574999999999
- type: recall_at_100 value: 75.16275
- type: recall_at_1000 value: 90.34891666666665
- type: recall_at_20 value: 60.4935
- type: recall_at_3 value: 40.377916666666664
- type: recall_at_5 value: 46.0195
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1 value: 25.653
- type: map_at_10 value: 32.151
- type: map_at_100 value: 33.152
- type: map_at_1000 value: 33.243
- type: map_at_20 value: 32.717
- type: map_at_3 value: 30.287
- type: map_at_5 value: 31.25
- type: mrr_at_1 value: 28.988000000000003
- type: mrr_at_10 value: 35.131
- type: mrr_at_100 value: 36.002
- type: mrr_at_1000 value: 36.069
- type: mrr_at_20 value: 35.61
- type: mrr_at_3 value: 33.308
- type: mrr_at_5 value: 34.259
- type: ndcg_at_1 value: 28.988000000000003
- type: ndcg_at_10 value: 35.988
- type: ndcg_at_100 value: 40.764
- type: ndcg_at_1000 value: 43.112
- type: ndcg_at_20 value: 37.852999999999994
- type: ndcg_at_3 value: 32.562000000000005
- type: ndcg_at_5 value: 33.983000000000004
- type: precision_at_1 value: 28.988000000000003
- type: precision_at_10 value: 5.475
- type: precision_at_100 value: 0.8500000000000001
- type: precision_at_1000 value: 0.11199999999999999
- type: precision_at_20 value: 3.229
- type: precision_at_3 value: 13.905999999999999
- type: precision_at_5 value: 9.386999999999999
- type: recall_at_1 value: 25.653
- type: recall_at_10 value: 44.962
- type: recall_at_100 value: 66.405
- type: recall_at_1000 value: 83.88799999999999
- type: recall_at_20 value: 51.79899999999999
- type: recall_at_3 value: 35.144999999999996
- type: recall_at_5 value: 38.814
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1 value: 17.825
- type: map_at_10 value: 25.592
- type: map_at_100 value: 26.613999999999997
- type: map_at_1000 value: 26.734
- type: map_at_20 value: 26.115
- type: map_at_3 value: 23.119
- type: map_at_5 value: 24.54
- type: mrr_at_1 value: 21.335
- type: mrr_at_10 value: 29.165000000000003
- type: mrr_at_100 value: 30.049
- type: mrr_at_1000 value: 30.121
- type: mrr_at_20 value: 29.639
- type: mrr_at_3 value: 26.863999999999997
- type: mrr_at_5 value: 28.185
- type: ndcg_at_1 value: 21.335
- type: ndcg_at_10 value: 30.357
- type: ndcg_at_100 value: 35.410000000000004
- type: ndcg_at_1000 value: 38.24
- type: ndcg_at_20 value: 32.08
- type: ndcg_at_3 value: 25.95
- type: ndcg_at_5 value: 28.081
- type: precision_at_1 value: 21.335
- type: precision_at_10 value: 5.506
- type: precision_at_100 value: 0.928
- type: precision_at_1000 value: 0.135
- type: precision_at_20 value: 3.2550000000000003
- type: precision_at_3 value: 12.239
- type: precision_at_5 value: 8.885
- type: recall_at_1 value: 17.825
- type: recall_at_10 value: 41.105999999999995
- type: recall_at_100 value: 64.17
- type: recall_at_1000 value: 84.19200000000001
- type: recall_at_20 value: 47.497
- type: recall_at_3 value: 28.862
- type: recall_at_5 value: 34.348
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1 value: 29.435
- type: map_at_10 value: 38.261
- type: map_at_100 value: 39.242
- type: map_at_1000 value: 39.347
- type: map_at_20 value: 38.742
- type: map_at_3 value: 35.457
- type: map_at_5 value: 37.043
- type: mrr_at_1 value: 34.235
- type: mrr_at_10 value: 42.24
- type: mrr_at_100 value: 42.988
- type: mrr_at_1000 value: 43.043
- type: mrr_at_20 value: 42.613
- type: mrr_at_3 value: 39.832
- type: mrr_at_5 value: 41.227000000000004
- type: ndcg_at_1 value: 34.235
- type: ndcg_at_10 value: 43.384
- type: ndcg_at_100 value: 48.14
- type: ndcg_at_1000 value: 50.414
- type: ndcg_at_20 value: 44.913
- type: ndcg_at_3 value: 38.454
- type: ndcg_at_5 value: 40.776
- type: precision_at_1 value: 34.235
- type: precision_at_10 value: 7.164
- type: precision_at_100 value: 1.065
- type: precision_at_1000 value: 0.13699999999999998
- type: precision_at_20 value: 4.021
- type: precision_at_3 value: 17.226
- type: precision_at_5 value: 12.071
- type: recall_at_1 value: 29.435
- type: recall_at_10 value: 54.93900000000001
- type: recall_at_100 value: 76.176
- type: recall_at_1000 value: 91.989
- type: recall_at_20 value: 60.451
- type: recall_at_3 value: 41.332
- type: recall_at_5 value: 47.316
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1 value: 25.605
- type: map_at_10 value: 34.162
- type: map_at_100 value: 35.827999999999996
- type: map_at_1000 value: 36.04
- type: map_at_20 value: 35.016000000000005
- type: map_at_3 value: 30.984
- type: map_at_5 value: 32.717
- type: mrr_at_1 value: 30.435000000000002
- type: mrr_at_10 value: 38.681
- type: mrr_at_100 value: 39.656000000000006
- type: mrr_at_1000 value: 39.71
- type: mrr_at_20 value: 39.208999999999996
- type: mrr_at_3 value: 35.903
- type: mrr_at_5 value: 37.454
- type: ndcg_at_1 value: 30.435000000000002
- type: ndcg_at_10 value: 39.916000000000004
- type: ndcg_at_100 value: 45.958
- type: ndcg_at_1000 value: 48.449999999999996
- type: ndcg_at_20 value: 42.085
- type: ndcg_at_3 value: 34.696
- type: ndcg_at_5 value: 37.147000000000006
- type: precision_at_1 value: 30.435000000000002
- type: precision_at_10 value: 7.767
- type: precision_at_100 value: 1.547
- type: precision_at_1000 value: 0.23800000000000002
- type: precision_at_20 value: 4.941
- type: precision_at_3 value: 16.073999999999998
- type: precision_at_5 value: 11.937000000000001
- type: recall_at_1 value: 25.605
- type: recall_at_10 value: 50.654999999999994
- type: recall_at_100 value: 77.609
- type: recall_at_1000 value: 93.518
- type: recall_at_20 value: 58.845000000000006
- type: recall_at_3 value: 36.272
- type: recall_at_5 value: 42.596000000000004
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1 value: 23.666
- type: map_at_10 value: 30.980999999999998
- type: map_at_100 value: 32.0
- type: map_at_1000 value: 32.098
- type: map_at_20 value: 31.621
- type: map_at_3 value: 28.449999999999996
- type: map_at_5 value: 29.731999999999996
- type: mrr_at_1 value: 25.692999999999998
- type: mrr_at_10 value: 32.788000000000004
- type: mrr_at_100 value: 33.783
- type: mrr_at_1000 value: 33.849000000000004
- type: mrr_at_20 value: 33.408
- type: mrr_at_3 value: 30.561
- type: mrr_at_5 value: 31.716
- type: ndcg_at_1 value: 25.692999999999998
- type: ndcg_at_10 value: 35.428
- type: ndcg_at_100 value: 40.375
- type: ndcg_at_1000 value: 42.802
- type: ndcg_at_20 value: 37.621
- type: ndcg_at_3 value: 30.476999999999997
- type: ndcg_at_5 value: 32.621
- type: precision_at_1 value: 25.692999999999998
- type: precision_at_10 value: 5.508
- type: precision_at_100 value: 0.848
- type: precision_at_1000 value: 0.116
- type: precision_at_20 value: 3.272
- type: precision_at_3 value: 12.631
- type: precision_at_5 value: 8.872
- type: recall_at_1 value: 23.666
- type: recall_at_10 value: 47.532000000000004
- type: recall_at_100 value: 69.73700000000001
- type: recall_at_1000 value: 87.83800000000001
- type: recall_at_20 value: 55.61000000000001
- type: recall_at_3 value: 34.06
- type: recall_at_5 value: 39.254
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1 value: 16.337
- type: map_at_10 value: 26.488
- type: map_at_100 value: 28.415000000000003
- type: map_at_1000 value: 28.584
- type: map_at_20 value: 27.557
- type: map_at_3 value: 22.665
- type: map_at_5 value: 24.542
- type: mrr_at_1 value: 36.417
- type: mrr_at_10 value: 48.001
- type: mrr_at_100 value: 48.784
- type: mrr_at_1000 value: 48.809000000000005
- type: mrr_at_20 value: 48.507
- type: mrr_at_3 value: 45.103
- type: mrr_at_5 value: 46.843
- type: ndcg_at_1 value: 36.417
- type: ndcg_at_10 value: 35.67
- type: ndcg_at_100 value: 42.716
- type: ndcg_at_1000 value: 45.639
- type: ndcg_at_20 value: 38.471
- type: ndcg_at_3 value: 30.444
- type: ndcg_at_5 value: 32.004
- type: precision_at_1 value: 36.417
- type: precision_at_10 value: 10.73
- type: precision_at_100 value: 1.833
- type: precision_at_1000 value: 0.23800000000000002
- type: precision_at_20 value: 6.596
- type: precision_at_3 value: 22.302
- type: precision_at_5 value: 16.521
- type: recall_at_1 value: 16.337
- type: recall_at_10 value: 40.671
- type: recall_at_100 value: 64.55300000000001
- type: recall_at_1000 value: 80.934
- type: recall_at_20 value: 48.381
- type: recall_at_3 value: 27.279999999999998
- type: recall_at_5 value: 32.621
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1 value: 9.056000000000001
- type: map_at_10 value: 19.419
- type: map_at_100 value: 27.069
- type: map_at_1000 value: 28.666000000000004
- type: map_at_20 value: 22.434
- type: map_at_3 value: 13.895
- type: map_at_5 value: 16.121
- type: mrr_at_1 value: 69.0
- type: mrr_at_10 value: 75.804
- type: mrr_at_100 value: 76.117
- type: mrr_at_1000 value: 76.125
- type: mrr_at_20 value: 76.009
- type: mrr_at_3 value: 74.375
- type: mrr_at_5 value: 75.4
- type: ndcg_at_1 value: 57.49999999999999
- type: ndcg_at_10 value: 41.495
- type: ndcg_at_100 value: 45.208
- type: ndcg_at_1000 value: 52.221
- type: ndcg_at_20 value: 40.617999999999995
- type: ndcg_at_3 value: 46.592
- type: ndcg_at_5 value: 43.559
- type: precision_at_1 value: 69.0
- type: precision_at_10 value: 32.574999999999996
- type: precision_at_100 value: 10.205
- type: precision_at_1000 value: 2.036
- type: precision_at_20 value: 24.687
- type: precision_at_3 value: 49.75
- type: precision_at_5 value: 42.0
- type: recall_at_1 value: 9.056000000000001
- type: recall_at_10 value: 24.866
- type: recall_at_100 value: 50.097
- type: recall_at_1000 value: 72.038
- type: recall_at_20 value: 31.858999999999998
- type: recall_at_3 value: 15.096000000000002
- type: recall_at_5 value: 18.548000000000002
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy value: 48.259999999999984
- type: f1 value: 43.1498589523159
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1 value: 74.798
- type: map_at_10 value: 83.454
- type: map_at_100 value: 83.623
- type: map_at_1000 value: 83.635
- type: map_at_20 value: 83.55
- type: map_at_3 value: 82.392
- type: map_at_5 value: 83.167
- type: mrr_at_1 value: 80.708
- type: mrr_at_10 value: 88.377
- type: mrr_at_100 value: 88.411
- type: mrr_at_1000 value: 88.411
- type: mrr_at_20 value: 88.402
- type: mrr_at_3 value: 87.646
- type: mrr_at_5 value: 88.232
- type: ndcg_at_1 value: 80.708
- type: ndcg_at_10 value: 87.35199999999999
- type: ndcg_at_100 value: 87.91600000000001
- type: ndcg_at_1000 value: 88.12299999999999
- type: ndcg_at_20 value: 87.593
- type: ndcg_at_3 value: 85.738
- type: ndcg_at_5 value: 86.845
- type: precision_at_1 value: 80.708
- type: precision_at_10 value: 10.432
- type: precision_at_100 value: 1.091
- type: precision_at_1000 value: 0.11299999999999999
- type: precision_at_20 value: 5.296
- type: precision_at_3 value: 32.778
- type: precision_at_5 value: 20.399
- type: recall_at_1 value: 74.798
- type: recall_at_10 value: 94.459
- type: recall_at_100 value: 96.614
- type: recall_at_1000 value: 97.868
- type: recall_at_20 value: 95.254
- type: recall_at_3 value: 90.144
- type: recall_at_5 value: 92.965
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1 value: 20.008
- type: map_at_10 value: 32.731
- type: map_at_100 value: 34.467999999999996
- type: map_at_1000 value: 34.643
- type: map_at_20 value: 33.717000000000006
- type: map_at_3 value: 28.427999999999997
- type: map_at_5 value: 30.788
- type: mrr_at_1 value: 40.586
- type: mrr_at_10 value: 49.056
- type: mrr_at_100
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: