metadata
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
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: 76.20895522388061
- type: ap
value: 39.2507182700391
- type: f1
value: 70.1524994873644
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 91.66092499999999
- type: ap
value: 88.67291765528996
- type: f1
value: 91.65254265062715
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 46.768
- type: f1
value: 46.1529444051673
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 24.964
- type: map_at_10
value: 39.891
- type: map_at_100
value: 41.015
- type: map_at_1000
value: 41.027
- type: map_at_20
value: 40.788999999999994
- type: map_at_3
value: 35.016999999999996
- type: map_at_5
value: 37.445
- type: mrr_at_1
value: 25.462
- type: mrr_at_10
value: 40.081
- type: mrr_at_100
value: 41.204
- type: mrr_at_1000
value: 41.216
- type: mrr_at_20
value: 40.979
- type: mrr_at_3
value: 35.171
- type: mrr_at_5
value: 37.66
- type: ndcg_at_1
value: 24.964
- type: ndcg_at_10
value: 48.815999999999995
- type: ndcg_at_100
value: 53.415
- type: ndcg_at_1000
value: 53.70399999999999
- type: ndcg_at_20
value: 51.983000000000004
- type: ndcg_at_3
value: 38.417
- type: ndcg_at_5
value: 42.833
- type: precision_at_1
value: 24.964
- type: precision_at_10
value: 7.774
- type: precision_at_100
value: 0.9740000000000001
- type: precision_at_1000
value: 0.1
- type: precision_at_20
value: 4.502
- type: precision_at_3
value: 16.098000000000003
- type: precision_at_5
value: 11.821
- type: recall_at_1
value: 24.964
- type: recall_at_10
value: 77.738
- type: recall_at_100
value: 97.368
- type: recall_at_1000
value: 99.57300000000001
- type: recall_at_20
value: 90.04299999999999
- type: recall_at_3
value: 48.293
- type: recall_at_5
value: 59.104
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
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type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
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type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
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value: 59.546570214269444
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value: 73.57197819109176
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type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
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value: 88.82818534163955
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value: 87.48572836142807
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value: 87.85699699546558
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value: 87.43873933894409
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value: 87.41736797732888
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value: 87.07909258993207
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type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
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value: 84.57792207792207
- type: f1
value: 84.52727174280496
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type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
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- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 33.88310773970377
- type: v_measures
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- 0.3245349825114234
- 0.3352908890916282
- 0.3426537727286653
- 0.3416913241231775
- 0.343634850219928
- 0.3538569088433259
- 0.330378640451087
- 0.33046099405309765
- 0.35265391146515984
- 0.3331545004828837
- 0.3245349825114234
- 0.3352908890916282
- 0.3426537727286653
- 0.3416913241231775
- 0.343634850219928
- 0.3538569088433259
- 0.330378640451087
- 0.33046099405309765
- 0.35265391146515984
- 0.3331545004828837
- 0.3245349825114234
- 0.3352908890916282
- 0.3426537727286653
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 33.62
- type: map_at_10
value: 45.384
- type: map_at_100
value: 46.739999999999995
- type: map_at_1000
value: 46.847
- type: map_at_20
value: 46.099000000000004
- type: map_at_3
value: 41.766
- type: map_at_5
value: 43.891000000000005
- type: mrr_at_1
value: 40.916000000000004
- type: mrr_at_10
value: 51.15
- type: mrr_at_100
value: 51.797000000000004
- type: mrr_at_1000
value: 51.833
- type: mrr_at_20
value: 51.529
- type: mrr_at_3
value: 48.592999999999996
- type: mrr_at_5
value: 50.124
- type: ndcg_at_1
value: 40.916000000000004
- type: ndcg_at_10
value: 51.76500000000001
- type: ndcg_at_100
value: 56.706
- type: ndcg_at_1000
value: 58.406000000000006
- type: ndcg_at_20
value: 53.53
- type: ndcg_at_3
value: 46.916999999999994
- type: ndcg_at_5
value: 49.282
- type: precision_at_1
value: 40.916000000000004
- type: precision_at_10
value: 9.9
- type: precision_at_100
value: 1.534
- type: precision_at_1000
value: 0.194
- type: precision_at_20
value: 5.722
- type: precision_at_3
value: 22.747
- type: precision_at_5
value: 16.338
- type: recall_at_1
value: 33.62
- type: recall_at_10
value: 63.768
- type: recall_at_100
value: 84.629
- type: recall_at_1000
value: 95.488
- type: recall_at_20
value: 70.127
- type: recall_at_3
value: 49.563
- type: recall_at_5
value: 56.467999999999996
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 32.43
- type: map_at_10
value: 43.56
- type: map_at_100
value: 44.772
- type: map_at_1000
value: 44.894
- type: map_at_20
value: 44.207
- type: map_at_3
value: 40.163
- type: map_at_5
value: 42.053000000000004
- type: mrr_at_1
value: 40.764
- type: mrr_at_10
value: 49.718
- type: mrr_at_100
value: 50.265
- type: mrr_at_1000
value: 50.304
- type: mrr_at_20
value: 50.009
- type: mrr_at_3
value: 47.473
- type: mrr_at_5
value: 48.801
- type: ndcg_at_1
value: 40.764
- type: ndcg_at_10
value: 49.571
- type: ndcg_at_100
value: 53.474999999999994
- type: ndcg_at_1000
value: 55.309
- type: ndcg_at_20
value: 51.001
- type: ndcg_at_3
value: 45.107
- type: ndcg_at_5
value: 47.164
- type: precision_at_1
value: 40.764
- type: precision_at_10
value: 9.49
- type: precision_at_100
value: 1.467
- type: precision_at_1000
value: 0.191
- type: precision_at_20
value: 5.513
- type: precision_at_3
value: 21.996
- type: precision_at_5
value: 15.631
- type: recall_at_1
value: 32.43
- type: recall_at_10
value: 59.935
- type: recall_at_100
value: 76.386
- type: recall_at_1000
value: 88.011
- type: recall_at_20
value: 65.071
- type: recall_at_3
value: 46.56
- type: recall_at_5
value: 52.513
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 43.195
- type: map_at_10
value: 56.013000000000005
- type: map_at_100
value: 56.957
- type: map_at_1000
value: 57.006
- type: map_at_20
value: 56.596000000000004
- type: map_at_3
value: 52.807
- type: map_at_5
value: 54.555
- type: mrr_at_1
value: 49.592000000000006
- type: mrr_at_10
value: 59.399
- type: mrr_at_100
value: 59.995
- type: mrr_at_1000
value: 60.019999999999996
- type: mrr_at_20
value: 59.77400000000001
- type: mrr_at_3
value: 57.220000000000006
- type: mrr_at_5
value: 58.48100000000001
- type: ndcg_at_1
value: 49.592000000000006
- type: ndcg_at_10
value: 61.682
- type: ndcg_at_100
value: 65.33
- type: ndcg_at_1000
value: 66.29
- type: ndcg_at_20
value: 63.298
- type: ndcg_at_3
value: 56.538999999999994
- type: ndcg_at_5
value: 58.946
- type: precision_at_1
value: 49.592000000000006
- type: precision_at_10
value: 9.824
- type: precision_at_100
value: 1.25
- type: precision_at_1000
value: 0.13699999999999998
- type: precision_at_20
value: 5.423
- type: precision_at_3
value: 25.119999999999997
- type: precision_at_5
value: 16.977999999999998
- type: recall_at_1
value: 43.195
- type: recall_at_10
value: 74.979
- type: recall_at_100
value: 90.701
- type: recall_at_1000
value: 97.474
- type: recall_at_20
value: 80.951
- type: recall_at_3
value: 61.275999999999996
- type: recall_at_5
value: 67.143
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 27.254
- type: map_at_10
value: 35.74
- type: map_at_100
value: 36.702
- type: map_at_1000
value: 36.782
- type: map_at_20
value: 36.258
- type: map_at_3
value: 33.341
- type: map_at_5
value: 34.666999999999994
- type: mrr_at_1
value: 28.927000000000003
- type: mrr_at_10
value: 37.396
- type: mrr_at_100
value: 38.267
- type: mrr_at_1000
value: 38.328
- type: mrr_at_20
value: 37.865
- type: mrr_at_3
value: 35.141
- type: mrr_at_5
value: 36.35
- type: ndcg_at_1
value: 28.927000000000003
- type: ndcg_at_10
value: 40.403
- type: ndcg_at_100
value: 45.241
- type: ndcg_at_1000
value: 47.278999999999996
- type: ndcg_at_20
value: 42.241
- type: ndcg_at_3
value: 35.754999999999995
- type: ndcg_at_5
value: 37.935
- type: precision_at_1
value: 28.927000000000003
- type: precision_at_10
value: 6.056
- type: precision_at_100
value: 0.893
- type: precision_at_1000
value: 0.11
- type: precision_at_20
value: 3.458
- type: precision_at_3
value: 14.915000000000001
- type: precision_at_5
value: 10.282
- type: recall_at_1
value: 27.254
- type: recall_at_10
value: 52.967
- type: recall_at_100
value: 75.224
- type: recall_at_1000
value: 90.617
- type: recall_at_20
value: 60.053
- type: recall_at_3
value: 40.548
- type: recall_at_5
value: 45.741
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 17.291999999999998
- type: map_at_10
value: 25.56
- type: map_at_100
value: 26.694000000000003
- type: map_at_1000
value: 26.813
- type: map_at_20
value: 26.169999999999998
- type: map_at_3
value: 23.151
- type: map_at_5
value: 24.535
- type: mrr_at_1
value: 21.517
- type: mrr_at_10
value: 30.097
- type: mrr_at_100
value: 31.087999999999997
- type: mrr_at_1000
value: 31.157
- type: mrr_at_20
value: 30.689
- type: mrr_at_3
value: 27.736
- type: mrr_at_5
value: 29.154000000000003
- type: ndcg_at_1
value: 21.517
- type: ndcg_at_10
value: 30.636000000000003
- type: ndcg_at_100
value: 36.015
- type: ndcg_at_1000
value: 38.800000000000004
- type: ndcg_at_20
value: 32.716
- type: ndcg_at_3
value: 26.316
- type: ndcg_at_5
value: 28.46
- type: precision_at_1
value: 21.517
- type: precision_at_10
value: 5.585
- type: precision_at_100
value: 0.938
- type: precision_at_1000
value: 0.132
- type: precision_at_20
value: 3.34
- type: precision_at_3
value: 12.769
- type: precision_at_5
value: 9.254
- type: recall_at_1
value: 17.291999999999998
- type: recall_at_10
value: 41.677
- type: recall_at_100
value: 64.92999999999999
- type: recall_at_1000
value: 84.41300000000001
- type: recall_at_20
value: 49.18
- type: recall_at_3
value: 29.836000000000002
- type: recall_at_5
value: 35.284
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 29.215000000000003
- type: map_at_10
value: 39.919
- type: map_at_100
value: 41.209
- type: map_at_1000
value: 41.31
- type: map_at_20
value: 40.62
- type: map_at_3
value: 36.565
- type: map_at_5
value: 38.439
- type: mrr_at_1
value: 35.996
- type: mrr_at_10
value: 45.39
- type: mrr_at_100
value: 46.205
- type: mrr_at_1000
value: 46.247
- type: mrr_at_20
value: 45.867000000000004
- type: mrr_at_3
value: 42.782
- type: mrr_at_5
value: 44.235
- type: ndcg_at_1
value: 35.996
- type: ndcg_at_10
value: 46.032000000000004
- type: ndcg_at_100
value: 51.397999999999996
- type: ndcg_at_1000
value: 53.215
- type: ndcg_at_20
value: 48.128
- type: ndcg_at_3
value: 40.78
- type: ndcg_at_5
value: 43.187999999999995
- type: precision_at_1
value: 35.996
- type: precision_at_10
value: 8.402
- type: precision_at_100
value: 1.304
- type: precision_at_1000
value: 0.161
- type: precision_at_20
value: 4.913
- type: precision_at_3
value: 19.442
- type: precision_at_5
value: 13.84
- type: recall_at_1
value: 29.215000000000003
- type: recall_at_10
value: 58.846
- type: recall_at_100
value: 81.255
- type: recall_at_1000
value: 93.10300000000001
- type: recall_at_20
value: 66.193
- type: recall_at_3
value: 43.842
- type: recall_at_5
value: 50.157
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 28.654000000000003
- type: map_at_10
value: 38.635000000000005
- type: map_at_100
value: 39.898
- type: map_at_1000
value: 40.003
- type: map_at_20
value: 39.33
- type: map_at_3
value: 35.705999999999996
- type: map_at_5
value: 37.294
- type: mrr_at_1
value: 34.589
- type: mrr_at_10
value: 43.580000000000005
- type: mrr_at_100
value: 44.455
- type: mrr_at_1000
value: 44.505
- type: mrr_at_20
value: 44.088
- type: mrr_at_3
value: 41.419
- type: mrr_at_5
value: 42.635
- type: ndcg_at_1
value: 34.589
- type: ndcg_at_10
value: 44.021
- type: ndcg_at_100
value: 49.653999999999996
- type: ndcg_at_1000
value: 51.695
- type: ndcg_at_20
value: 46.190999999999995
- type: ndcg_at_3
value: 39.568999999999996
- type: ndcg_at_5
value: 41.53
- type: precision_at_1
value: 34.589
- type: precision_at_10
value: 7.865
- type: precision_at_100
value: 1.243
- type: precision_at_1000
value: 0.16
- type: precision_at_20
value: 4.618
- type: precision_at_3
value: 18.531
- type: precision_at_5
value: 13.081999999999999
- type: recall_at_1
value: 28.654000000000003
- type: recall_at_10
value: 54.785
- type: recall_at_100
value: 79.532
- type: recall_at_1000
value: 92.99199999999999
- type: recall_at_20
value: 62.605
- type: recall_at_3
value: 42.559000000000005
- type: recall_at_5
value: 47.664
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 28.017500000000002
- type: map_at_10
value: 37.226000000000006
- type: map_at_100
value: 38.387249999999995
- type: map_at_1000
value: 38.497
- type: map_at_20
value: 37.8685
- type: map_at_3
value: 34.45716666666666
- type: map_at_5
value: 36.02891666666667
- type: mrr_at_1
value: 33.0525
- type: mrr_at_10
value: 41.375249999999994
- type: mrr_at_100
value: 42.214083333333335
- type: mrr_at_1000
value: 42.266416666666665
- type: mrr_at_20
value: 41.868833333333335
- type: mrr_at_3
value: 39.14641666666667
- type: mrr_at_5
value: 40.44550000000001
- type: ndcg_at_1
value: 33.0525
- type: ndcg_at_10
value: 42.40116666666667
- type: ndcg_at_100
value: 47.34408333333333
- type: ndcg_at_1000
value: 49.45733333333333
- type: ndcg_at_20
value: 44.33925
- type: ndcg_at_3
value: 37.934916666666666
- type: ndcg_at_5
value: 40.07458333333334
- type: precision_at_1
value: 33.0525
- type: precision_at_10
value: 7.330500000000001
- type: precision_at_100
value: 1.1537499999999998
- type: precision_at_1000
value: 0.1514166666666667
- type: precision_at_20
value: 4.298583333333333
- type: precision_at_3
value: 17.37725
- type: precision_at_5
value: 12.249500000000001
- type: recall_at_1
value: 28.017500000000002
- type: recall_at_10
value: 53.424416666666666
- type: recall_at_100
value: 75.08983333333332
- type: recall_at_1000
value: 89.7495
- type: recall_at_20
value: 60.53375000000001
- type: recall_at_3
value: 40.93975000000001
- type: recall_at_5
value: 46.51383333333333
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 25.277
- type: map_at_10
value: 32.135000000000005
- type: map_at_100
value: 33.105000000000004
- type: map_at_1000
value: 33.194
- type: map_at_20
value: 32.696
- type: map_at_3
value: 30.173
- type: map_at_5
value: 31.291000000000004
- type: mrr_at_1
value: 28.221
- type: mrr_at_10
value: 34.915
- type: mrr_at_100
value: 35.812
- type: mrr_at_1000
value: 35.876000000000005
- type: mrr_at_20
value: 35.447
- type: mrr_at_3
value: 33.154
- type: mrr_at_5
value: 34.19
- type: ndcg_at_1
value: 28.221
- type: ndcg_at_10
value: 36.086
- type: ndcg_at_100
value: 40.778999999999996
- type: ndcg_at_1000
value: 43.024
- type: ndcg_at_20
value: 38.019
- type: ndcg_at_3
value: 32.57
- type: ndcg_at_5
value: 34.272000000000006
- type: precision_at_1
value: 28.221
- type: precision_at_10
value: 5.567
- type: precision_at_100
value: 0.84
- type: precision_at_1000
value: 0.11
- type: precision_at_20
value: 3.2520000000000002
- type: precision_at_3
value: 13.905999999999999
- type: precision_at_5
value: 9.54
- type: recall_at_1
value: 25.277
- type: recall_at_10
value: 45.426
- type: recall_at_100
value: 66.63900000000001
- type: recall_at_1000
value: 83.25
- type: recall_at_20
value: 52.723
- type: recall_at_3
value: 35.629
- type: recall_at_5
value: 39.916000000000004
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 18.365000000000002
- type: map_at_10
value: 25.387999999999998
- type: map_at_100
value: 26.394000000000002
- type: map_at_1000
value: 26.509
- type: map_at_20
value: 25.927
- type: map_at_3
value: 23.182
- type: map_at_5
value: 24.383
- type: mrr_at_1
value: 22.402
- type: mrr_at_10
value: 29.465000000000003
- type: mrr_at_100
value: 30.330000000000002
- type: mrr_at_1000
value: 30.404999999999998
- type: mrr_at_20
value: 29.95
- type: mrr_at_3
value: 27.415
- type: mrr_at_5
value: 28.548000000000002
- type: ndcg_at_1
value: 22.402
- type: ndcg_at_10
value: 29.872
- type: ndcg_at_100
value: 34.747
- type: ndcg_at_1000
value: 37.592999999999996
- type: ndcg_at_20
value: 31.653
- type: ndcg_at_3
value: 26.040999999999997
- type: ndcg_at_5
value: 27.755999999999997
- type: precision_at_1
value: 22.402
- type: precision_at_10
value: 5.337
- type: precision_at_100
value: 0.8959999999999999
- type: precision_at_1000
value: 0.13
- type: precision_at_20
value: 3.1850000000000005
- type: precision_at_3
value: 12.239
- type: precision_at_5
value: 8.692
- type: recall_at_1
value: 18.365000000000002
- type: recall_at_10
value: 39.283
- type: recall_at_100
value: 61.412
- type: recall_at_1000
value: 81.922
- type: recall_at_20
value: 45.917
- type: recall_at_3
value: 28.462
- type: recall_at_5
value: 33.040000000000006
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 29.687
- type: map_at_10
value: 37.667
- type: map_at_100
value: 38.76
- type: map_at_1000
value: 38.863
- type: map_at_20
value: 38.287
- type: map_at_3
value: 35.157
- type: map_at_5
value: 36.732
- type: mrr_at_1
value: 35.168
- type: mrr_at_10
value: 42.309999999999995
- type: mrr_at_100
value: 43.169999999999995
- type: mrr_at_1000
value: 43.227
- type: mrr_at_20
value: 42.826
- type: mrr_at_3
value: 40.065
- type: mrr_at_5
value: 41.549
- type: ndcg_at_1
value: 35.168
- type: ndcg_at_10
value: 42.463
- type: ndcg_at_100
value: 47.475
- type: ndcg_at_1000
value: 49.735
- type: ndcg_at_20
value: 44.440000000000005
- type: ndcg_at_3
value: 38.108
- type: ndcg_at_5
value: 40.507
- type: precision_at_1
value: 35.168
- type: precision_at_10
value: 6.847
- type: precision_at_100
value: 1.048
- type: precision_at_1000
value: 0.134
- type: precision_at_20
value: 3.9510000000000005
- type: precision_at_3
value: 16.884
- type: precision_at_5
value: 11.884
- type: recall_at_1
value: 29.687
- type: recall_at_10
value: 52.413
- type: recall_at_100
value: 74.21799999999999
- type: recall_at_1000
value: 90.022
- type: recall_at_20
value: 59.559
- type: recall_at_3
value: 40.717999999999996
- type: recall_at_5
value: 46.833999999999996
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 28.233000000000004
- type: map_at_10
value: 36.492000000000004
- type: map_at_100
value: 38.157999999999994
- type: map_at_1000
value: 38.391999999999996
- type: map_at_20
value: 37.336999999999996
- type: map_at_3
value: 33.833999999999996
- type: map_at_5
value: 35.225
- type: mrr_at_1
value: 33.399
- type: mrr_at_10
value: 40.983000000000004
- type: mrr_at_100
value: 42.065999999999995
- type: mrr_at_1000
value: 42.117
- type: mrr_at_20
value: 41.635
- type: mrr_at_3
value: 38.999
- type: mrr_at_5
value: 40.105000000000004
- type: ndcg_at_1
value: 33.399
- type: ndcg_at_10
value: 41.764
- type: ndcg_at_100
value: 47.894
- type: ndcg_at_1000
value: 50.304
- type: ndcg_at_20
value: 43.986999999999995
- type: ndcg_at_3
value: 37.861
- type: ndcg_at_5
value: 39.532000000000004
- type: precision_at_1
value: 33.399
- type: precision_at_10
value: 7.806
- type: precision_at_100
value: 1.609
- type: precision_at_1000
value: 0.244
- type: precision_at_20
value: 5.01
- type: precision_at_3
value: 17.655
- type: precision_at_5
value: 12.49
- type: recall_at_1
value: 28.233000000000004
- type: recall_at_10
value: 51.031000000000006
- type: recall_at_100
value: 78.597
- type: recall_at_1000
value: 93.907
- type: recall_at_20
value: 59.231
- type: recall_at_3
value: 39.018
- type: recall_at_5
value: 43.905
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 22.988
- type: map_at_10
value: 30.219
- type: map_at_100
value: 31.258000000000003
- type: map_at_1000
value: 31.351000000000003
- type: map_at_20
value: 30.895
- type: map_at_3
value: 27.641
- type: map_at_5
value: 29.282000000000004
- type: mrr_at_1
value: 25.139
- type: mrr_at_10
value: 32.1
- type: mrr_at_100
value: 33.119
- type: mrr_at_1000
value: 33.178000000000004
- type: mrr_at_20
value: 32.747
- type: mrr_at_3
value: 29.759999999999998
- type: mrr_at_5
value: 31.174000000000003
- type: ndcg_at_1
value: 25.139
- type: ndcg_at_10
value: 34.519
- type: ndcg_at_100
value: 39.415
- type: ndcg_at_1000
value: 41.837999999999994
- type: ndcg_at_20
value: 36.867
- type: ndcg_at_3
value: 29.656
- type: ndcg_at_5
value: 32.323
- type: precision_at_1
value: 25.139
- type: precision_at_10
value: 5.287
- type: precision_at_100
value: 0.823
- type: precision_at_1000
value: 0.11399999999999999
- type: precision_at_20
value: 3.198
- type: precision_at_3
value: 12.323
- type: precision_at_5
value: 8.982999999999999
- type: recall_at_1
value: 22.988
- type: recall_at_10
value: 45.983000000000004
- type: recall_at_100
value: 67.55499999999999
- type: recall_at_1000
value: 85.795
- type: recall_at_20
value: 54.795
- type: recall_at_3
value: 33.266
- type: recall_at_5
value: 39.501
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 9.466
- type: map_at_10
value: 15.967
- type: map_at_100
value: 17.804000000000002
- type: map_at_1000
value: 18.003
- type: map_at_20
value: 16.929
- type: map_at_3
value: 13.248
- type: map_at_5
value: 14.6
- type: mrr_at_1
value: 21.303
- type: mrr_at_10
value: 30.908
- type: mrr_at_100
value: 32.16
- type: mrr_at_1000
value: 32.211
- type: mrr_at_20
value: 31.721
- type: mrr_at_3
value: 27.6
- type: mrr_at_5
value: 29.402
- type: ndcg_at_1
value: 21.303
- type: ndcg_at_10
value: 22.972
- type: ndcg_at_100
value: 30.782999999999998
- type: ndcg_at_1000
value: 34.382000000000005
- type: ndcg_at_20
value: 25.983
- type: ndcg_at_3
value: 18.278
- type: ndcg_at_5
value: 19.894000000000002
- type: precision_at_1
value: 21.303
- type: precision_at_10
value: 7.225
- type: precision_at_100
value: 1.549
- type: precision_at_1000
value: 0.22100000000000003
- type: precision_at_20
value: 4.883
- type: precision_at_3
value: 13.442000000000002
- type: precision_at_5
value: 10.463000000000001
- type: recall_at_1
value: 9.466
- type: recall_at_10
value: 28.261999999999997
- type: recall_at_100
value: 55.541
- type: recall_at_1000
value: 75.723
- type: recall_at_20
value: 36.934
- type: recall_at_3
value: 16.862
- type: recall_at_5
value: 21.365000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 8.425
- type: map_at_10
value: 18.485
- type: map_at_100
value: 25.790000000000003
- type: map_at_1000
value: 27.205000000000002
- type: map_at_20
value: 21.201
- type: map_at_3
value: 13.26
- type: map_at_5
value: 15.328
- type: mrr_at_1
value: 62
- type: mrr_at_10
value: 70.954
- type: mrr_at_100
value: 71.311
- type: mrr_at_1000
value: 71.318
- type: mrr_at_20
value: 71.18100000000001
- type: mrr_at_3
value: 68.708
- type: mrr_at_5
value: 70.296
- type: ndcg_at_1
value: 50
- type: ndcg_at_10
value: 37.972
- type: ndcg_at_100
value: 42.725
- type: ndcg_at_1000
value: 49.617
- type: ndcg_at_20
value: 37.478
- type: ndcg_at_3
value: 42.378
- type: ndcg_at_5
value: 39.678000000000004
- type: precision_at_1
value: 62
- type: precision_at_10
value: 30.175
- type: precision_at_100
value: 9.56
- type: precision_at_1000
value: 1.8350000000000002
- type: precision_at_20
value: 22.400000000000002
- type: precision_at_3
value: 46.083
- type: precision_at_5
value: 38.65
- type: recall_at_1
value: 8.425
- type: recall_at_10
value: 24.52
- type: recall_at_100
value: 49.79
- type: recall_at_1000
value: 71.27799999999999
- type: recall_at_20
value: 30.938
- type: recall_at_3
value: 14.466999999999999
- type: recall_at_5
value: 18.13
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 43.615
- type: f1
value: 40.05868641887659
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 46.028000000000006
- type: map_at_10
value: 60.24699999999999
- type: map_at_100
value: 60.745000000000005
- type: map_at_1000
value: 60.763
- type: map_at_20
value: 60.590999999999994
- type: map_at_3
value: 57.32000000000001
- type: map_at_5
value: 59.245999999999995
- type: mrr_at_1
value: 49.565
- type: mrr_at_10
value: 63.980000000000004
- type: mrr_at_100
value: 64.393
- type: mrr_at_1000
value: 64.398
- type: mrr_at_20
value: 64.285
- type: mrr_at_3
value: 61.109
- type: mrr_at_5
value: 63.032999999999994
- type: ndcg_at_1
value: 49.565
- type: ndcg_at_10
value: 67.391
- type: ndcg_at_100
value: 69.488
- type: ndcg_at_1000
value: 69.82000000000001
- type: ndcg_at_20
value: 68.55499999999999
- type: ndcg_at_3
value: 61.768
- type: ndcg_at_5
value: 65.09899999999999
- type: precision_at_1
value: 49.565
- type: precision_at_10
value: 9.388
- type: precision_at_100
value: 1.055
- type: precision_at_1000
value: 0.11
- type: precision_at_20
value: 4.958
- type: precision_at_3
value: 25.602999999999998
- type: precision_at_5
value: 17.177
- type: recall_at_1
value: 46.028000000000006
- type: recall_at_10
value: 85.685
- type: recall_at_100
value: 94.64099999999999
- type: recall_at_1000
value: 96.878
- type: recall_at_20
value: 90.065
- type: recall_at_3
value: 70.783
- type: recall_at_5
value: 78.818
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 20.371
- type: map_at_10
value: 34.364
- type: map_at_100
value: 36.315
- type: map_at_1000
value: 36.477
- type: map_at_20
value: 35.443999999999996
- type: map_at_3
value: 29.845
- type: map_at_5
value: 32.559
- type: mrr_at_1
value: 41.049
- type: mrr_at_10
value: 50.552
- type: mrr_at_100
value: 51.33
- type: mrr_at_1000
value: 51.361000000000004
- type: mrr_at_20
value: 51.032
- type: mrr_at_3
value: 48.251
- type: mrr_at_5
value: 49.509
- type: ndcg_at_1
value: 41.049
- type: ndcg_at_10
value: 42.527
- type: ndcg_at_100
value: 49.293
- type: ndcg_at_1000
value: 52.014
- type: ndcg_at_20
value: 45.245999999999995
- type: ndcg_at_3
value: 38.802
- type: ndcg_at_5
value: 40.19
- type: precision_at_1
value: 41.049
- type: precision_at_10
value: 11.914
- type: precision_at_100
value: 1.889
- type: precision_at_1000
value: 0.23900000000000002
- type: precision_at_20
value: 7.106
- type: precision_at_3
value: 26.44
- type: precision_at_5
value: 19.599
- type: recall_at_1
value: 20.371
- type: recall_at_10
value: 50.20099999999999
- type: recall_at_100
value: 74.85300000000001
- type: recall_at_1000
value: 91.166
- type: recall_at_20
value: 58.559000000000005
- type: recall_at_3
value: 35.32
- type: recall_at_5
value: 42.106
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 35.205999999999996
- type: map_at_10
value: 50.463
- type: map_at_100
value: 51.321000000000005
- type: map_at_1000
value: 51.391
- type: map_at_20
value: 50.965
- type: map_at_3
value: 47.331
- type: map_at_5
value: 49.247
- type: mrr_at_1
value: 70.41199999999999
- type: mrr_at_10
value: 77.577
- type: mrr_at_100
value: 77.835
- type: mrr_at_1000
value: 77.847
- type: mrr_at_20
value: 77.755
- type: mrr_at_3
value: 76.291
- type: mrr_at_5
value: 77.128
- type: ndcg_at_1
value: 70.41199999999999
- type: ndcg_at_10
value: 60.002
- type: ndcg_at_100
value: 63.1
- type: ndcg_at_1000
value: 64.491
- type: ndcg_at_20
value: 61.321000000000005
- type: ndcg_at_3
value: 55.318999999999996
- type: ndcg_at_5
value: 57.886
- type: precision_at_1
value: 70.41199999999999
- type: precision_at_10
value: 12.46
- type: precision_at_100
value: 1.488
- type: precision_at_1000
value: 0.167
- type: precision_at_20
value: 6.656
- type: precision_at_3
value: 34.634
- type: precision_at_5
value: 22.804
- type: recall_at_1
value: 35.205999999999996
- type: recall_at_10
value: 62.302
- type: recall_at_100
value: 74.409
- type: recall_at_1000
value: 83.633
- type: recall_at_20
value: 66.556
- type: recall_at_3
value: 51.951
- type: recall_at_5
value: 57.009
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 88.73559999999999
- type: ap
value: 84.40550091347858
- type: f1
value: 88.6897413895929
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 15.634
- type: map_at_10
value: 27.287
- type: map_at_100
value: 28.62
- type: map_at_1000
value: 28.677999999999997
- type: map_at_20
value: 28.113
- type: map_at_3
value: 23.227999999999998
- type: map_at_5
value: 25.509999999999998
- type: mrr_at_1
value: 16.103
- type: mrr_at_10
value: 27.772999999999996
- type: mrr_at_100
value: 29.055999999999997
- type: mrr_at_1000
value: 29.108
- type: mrr_at_20
value: 28.573999999999998
- type: mrr_at_3
value: 23.766000000000002
- type: mrr_at_5
value: 26.005
- type: ndcg_at_1
value: 16.103
- type: ndcg_at_10
value: 34.233999999999995
- type: ndcg_at_100
value: 40.748
- type: ndcg_at_1000
value: 42.189
- type: ndcg_at_20
value: 37.199
- type: ndcg_at_3
value: 25.913999999999998
- type: ndcg_at_5
value: 29.992
- type: precision_at_1
value: 16.103
- type: precision_at_10
value: 5.838
- type: precision_at_100
value: 0.909
- type: precision_at_1000
value: 0.10300000000000001
- type: precision_at_20
value: 3.535
- type: precision_at_3
value: 11.471
- type: precision_at_5
value: 8.953999999999999
- type: recall_at_1
value: 15.634
- type: recall_at_10
value: 55.887
- type: recall_at_100
value: 86.188
- type: recall_at_1000
value: 97.17
- type: recall_at_20
value: 67.461
- type: recall_at_3
value: 33.17
- type: recall_at_5
value: 42.988
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 92.2936616507068
- type: f1
value: 92.02636761092074
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 73.5248518011856
- type: f1
value: 53.05521175765365
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 70.21856086079356
- type: f1
value: 67.85484208485116
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 75.27236045729657
- type: f1
value: 74.916229419199
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 32.750593892555116
- type: v_measures
value:
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- 0.31435532289406576
- 0.3149165244680583
- 0.31942972122175306
- 0.3185331208118458
- 0.33682182366550517
- 0.3394323349184708
- 0.34389267115248884
- 0.3459164509339567
- 0.33487005219226135
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- 0.33487005219226135
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- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
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value: 30.746118307596042
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- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 30.633568196946598
- type: mrr
value: 31.699313664022284
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 6.164
- type: map_at_10
value: 13.353000000000002
- type: map_at_100
value: 16.468
- type: map_at_1000
value: 17.916
- type: map_at_20
value: 14.677000000000001
- type: map_at_3
value: 9.976
- type: map_at_5
value: 11.369
- type: mrr_at_1
value: 48.297000000000004
- type: mrr_at_10
value: 55.779
- type: mrr_at_100
value: 56.367
- type: mrr_at_1000
value: 56.413000000000004
- type: mrr_at_20
value: 56.123999999999995
- type: mrr_at_3
value: 54.334
- type: mrr_at_5
value: 55.00000000000001
- type: ndcg_at_1
value: 46.285
- type: ndcg_at_10
value: 35.333999999999996
- type: ndcg_at_100
value: 31.696999999999996
- type: ndcg_at_1000
value: 40.544999999999995
- type: ndcg_at_20
value: 32.694
- type: ndcg_at_3
value: 41.373
- type: ndcg_at_5
value: 38.324999999999996
- type: precision_at_1
value: 48.297000000000004
- type: precision_at_10
value: 26.006
- type: precision_at_100
value: 7.901
- type: precision_at_1000
value: 2.073
- type: precision_at_20
value: 18.884999999999998
- type: precision_at_3
value: 38.7
- type: precision_at_5
value: 32.632
- type: recall_at_1
value: 6.164
- type: recall_at_10
value: 16.913
- type: recall_at_100
value: 30.956
- type: recall_at_1000
value: 63.147
- type: recall_at_20
value: 20.319000000000003
- type: recall_at_3
value: 10.894
- type: recall_at_5
value: 13.039000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 22.707
- type: map_at_10
value: 37.815
- type: map_at_100
value: 39.129000000000005
- type: map_at_1000
value: 39.157
- type: map_at_20
value: 38.685
- type: map_at_3
value: 32.784
- type: map_at_5
value: 35.66
- type: mrr_at_1
value: 25.695
- type: mrr_at_10
value: 40.245999999999995
- type: mrr_at_100
value: 41.239
- type: mrr_at_1000
value: 41.259
- type: mrr_at_20
value: 40.907
- type: mrr_at_3
value: 35.936
- type: mrr_at_5
value: 38.457
- type: ndcg_at_1
value: 25.666
- type: ndcg_at_10
value: 46.317
- type: ndcg_at_100
value: 51.82
- type: ndcg_at_1000
value: 52.471999999999994
- type: ndcg_at_20
value: 49.175000000000004
- type: ndcg_at_3
value: 36.69
- type: ndcg_at_5
value: 41.537
- type: precision_at_1
value: 25.666
- type: precision_at_10
value: 8.34
- type: precision_at_100
value: 1.1360000000000001
- type: precision_at_1000
value: 0.12
- type: precision_at_20
value: 4.848
- type: precision_at_3
value: 17.304
- type: precision_at_5
value: 13.163
- type: recall_at_1
value: 22.707
- type: recall_at_10
value: 69.988
- type: recall_at_100
value: 93.733
- type: recall_at_1000
value: 98.571
- type: recall_at_20
value: 80.71199999999999
- type: recall_at_3
value: 44.858
- type: recall_at_5
value: 56.035000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
metrics:
- type: map_at_1
value: 70.88600000000001
- type: map_at_10
value: 84.848
- type: map_at_100
value: 85.45700000000001
- type: map_at_1000
value: 85.473
- type: map_at_20
value: 85.239
- type: map_at_3
value: 81.89800000000001
- type: map_at_5
value: 83.786
- type: mrr_at_1
value: 81.64
- type: mrr_at_10
value: 87.90400000000001
- type: mrr_at_100
value: 87.98899999999999
- type: mrr_at_1000
value: 87.99
- type: mrr_at_20
value: 87.968
- type: mrr_at_3
value: 86.978
- type: mrr_at_5
value: 87.631
- type: ndcg_at_1
value: 81.66
- type: ndcg_at_10
value: 88.627
- type: ndcg_at_100
value: 89.769
- type: ndcg_at_1000
value: 89.86800000000001
- type: ndcg_at_20
value: 89.232
- type: ndcg_at_3
value: 85.804
- type: ndcg_at_5
value: 87.41
- type: precision_at_1
value: 81.66
- type: precision_at_10
value: 13.427
- type: precision_at_100
value: 1.528
- type: precision_at_1000
value: 0.157
- type: precision_at_20
value: 7.106
- type: precision_at_3
value: 37.492999999999995
- type: precision_at_5
value: 24.666
- type: recall_at_1
value: 70.88600000000001
- type: recall_at_10
value: 95.734
- type: recall_at_100
value: 99.565
- type: recall_at_1000
value: 99.982
- type: recall_at_20
value: 97.661
- type: recall_at_3
value: 87.605
- type: recall_at_5
value: 92.169
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 56.21080787817221
- type: v_measures
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- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
metrics:
- type: v_measure
value: 62.695441918144745
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- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
metrics:
- type: map_at_1
value: 4.803
- type: map_at_10
value: 11.965
- type: map_at_100
value: 13.969000000000001
- type: map_at_1000
value: 14.251
- type: map_at_20
value: 13.074
- type: map_at_3
value: 8.704
- type: map_at_5
value: 10.39
- type: mrr_at_1
value: 23.7
- type: mrr_at_10
value: 34.300000000000004
- type: mrr_at_100
value: 35.413
- type: mrr_at_1000
value: 35.47
- type: mrr_at_20
value: 34.971999999999994
- type: mrr_at_3
value: 31.35
- type: mrr_at_5
value: 33.11
- type: ndcg_at_1
value: 23.7
- type: ndcg_at_10
value: 19.833000000000002
- type: ndcg_at_100
value: 27.543
- type: ndcg_at_1000
value: 32.657000000000004
- type: ndcg_at_20
value: 22.753999999999998
- type: ndcg_at_3
value: 19.371
- type: ndcg_at_5
value: 16.81
- type: precision_at_1
value: 23.7
- type: precision_at_10
value: 10.08
- type: precision_at_100
value: 2.114
- type: precision_at_1000
value: 0.335
- type: precision_at_20
value: 6.7299999999999995
- type: precision_at_3
value: 18.099999999999998
- type: precision_at_5
value: 14.680000000000001
- type: recall_at_1
value: 4.803
- type: recall_at_10
value: 20.408
- type: recall_at_100
value: 42.937999999999995
- type: recall_at_1000
value: 67.957
- type: recall_at_20
value: 27.253
- type: recall_at_3
value: 11.008
- type: recall_at_5
value: 14.878
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
metrics:
- type: cos_sim_pearson
value: 80.56573112423378
- type: cos_sim_spearman
value: 74.17802402341557
- type: euclidean_pearson
value: 77.64719557838848
- type: euclidean_spearman
value: 74.18218845491099
- type: manhattan_pearson
value: 77.65349040610312
- type: manhattan_spearman
value: 74.24528452265194
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 77.8662929981252
- type: cos_sim_spearman
value: 73.18685763781161
- type: euclidean_pearson
value: 74.05220881070804
- type: euclidean_spearman
value: 73.1802498913973
- type: manhattan_pearson
value: 73.95702570399803
- type: manhattan_spearman
value: 73.148251314861
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 83.3566965914774
- type: cos_sim_spearman
value: 83.57082995137267
- type: euclidean_pearson
value: 83.0673597536666
- type: euclidean_spearman
value: 83.56179042864954
- type: manhattan_pearson
value: 82.99371986719699
- type: manhattan_spearman
value: 83.4564971341052
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 82.29928049097985
- type: cos_sim_spearman
value: 79.24507751018872
- type: euclidean_pearson
value: 81.05714342924686
- type: euclidean_spearman
value: 79.24448099194757
- type: manhattan_pearson
value: 81.1323440664372
- type: manhattan_spearman
value: 79.33271509619381
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 86.52550571006007
- type: cos_sim_spearman
value: 87.09852049607704
- type: euclidean_pearson
value: 86.6667274835381
- type: euclidean_spearman
value: 87.10282548900487
- type: manhattan_pearson
value: 86.65166599447521
- type: manhattan_spearman
value: 87.08134750847402
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 82.03173421048572
- type: cos_sim_spearman
value: 82.68144478503824
- type: euclidean_pearson
value: 82.16342331747909
- type: euclidean_spearman
value: 82.68199277546111
- type: manhattan_pearson
value: 82.17641395526667
- type: manhattan_spearman
value: 82.70409481262362
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 87.83421066375598
- type: cos_sim_spearman
value: 88.1065724802746
- type: euclidean_pearson
value: 87.9179286282574
- type: euclidean_spearman
value: 88.13943838539143
- type: manhattan_pearson
value: 87.78121970619249
- type: manhattan_spearman
value: 87.97091893740061
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 63.18977730855335
- type: cos_sim_spearman
value: 64.32281973949075
- type: euclidean_pearson
value: 65.88520469364576
- type: euclidean_spearman
value: 64.33592296112258
- type: manhattan_pearson
value: 65.77016266953936
- type: manhattan_spearman
value: 64.37327935074376
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 83.82183713235801
- type: cos_sim_spearman
value: 83.40253231983908
- type: euclidean_pearson
value: 83.3368925429508
- type: euclidean_spearman
value: 83.40496299801828
- type: manhattan_pearson
value: 83.37982295504875
- type: manhattan_spearman
value: 83.44331438539328
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 81.57437869315952
- type: mrr
value: 95.02558715794011
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 56.89999999999999
- type: map_at_10
value: 67.637
- type: map_at_100
value: 68.107
- type: map_at_1000
value: 68.128
- type: map_at_20
value: 67.92099999999999
- type: map_at_3
value: 64.86
- type: map_at_5
value: 66.44200000000001
- type: mrr_at_1
value: 59.333000000000006
- type: mrr_at_10
value: 68.352
- type: mrr_at_100
value: 68.74
- type: mrr_at_1000
value: 68.76100000000001
- type: mrr_at_20
value: 68.597
- type: mrr_at_3
value: 66.333
- type: mrr_at_5
value: 67.583
- type: ndcg_at_1
value: 59.333000000000006
- type: ndcg_at_10
value: 72.30199999999999
- type: ndcg_at_100
value: 74.374
- type: ndcg_at_1000
value: 74.995
- type: ndcg_at_20
value: 73.22800000000001
- type: ndcg_at_3
value: 67.584
- type: ndcg_at_5
value: 69.95700000000001
- type: precision_at_1
value: 59.333000000000006
- type: precision_at_10
value: 9.700000000000001
- type: precision_at_100
value: 1.08
- type: precision_at_1000
value: 0.11299999999999999
- type: precision_at_20
value: 5.050000000000001
- type: precision_at_3
value: 26.667
- type: precision_at_5
value: 17.533
- type: recall_at_1
value: 56.89999999999999
- type: recall_at_10
value: 85.68900000000001
- type: recall_at_100
value: 95
- type: recall_at_1000
value: 100
- type: recall_at_20
value: 89.2
- type: recall_at_3
value: 72.906
- type: recall_at_5
value: 79.039
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.81485148514851
- type: cos_sim_ap
value: 95.58169993718987
- type: cos_sim_f1
value: 90.5027932960894
- type: cos_sim_precision
value: 91.95046439628483
- type: cos_sim_recall
value: 89.1
- type: dot_accuracy
value: 99.81485148514851
- type: dot_ap
value: 95.5719777669169
- type: dot_f1
value: 90.51243023845764
- type: dot_precision
value: 91.86405767250257
- type: dot_recall
value: 89.2
- type: euclidean_accuracy
value: 99.81584158415842
- type: euclidean_ap
value: 95.58771856329962
- type: euclidean_f1
value: 90.54878048780488
- type: euclidean_precision
value: 92.04545454545455
- type: euclidean_recall
value: 89.1
- type: manhattan_accuracy
value: 99.81287128712871
- type: manhattan_ap
value: 95.58869634659905
- type: manhattan_f1
value: 90.30271934325295
- type: manhattan_precision
value: 92.72918861959958
- type: manhattan_recall
value: 88
- type: max_accuracy
value: 99.81584158415842
- type: max_ap
value: 95.58869634659905
- type: max_f1
value: 90.54878048780488
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 66.81466934930805
- type: v_measures
value:
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- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
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- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 48.253810565773705
- type: mrr
value: 49.14455744418979
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.976959578668456
- type: cos_sim_spearman
value: 31.195930170179643
- type: dot_pearson
value: 31.023896821497786
- type: dot_spearman
value: 30.873340062924225
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
metrics:
- type: map_at_1
value: 0.231
- type: map_at_10
value: 1.6709999999999998
- type: map_at_100
value: 10.578999999999999
- type: map_at_1000
value: 26.997
- type: map_at_20
value: 3.032
- type: map_at_3
value: 0.584
- type: map_at_5
value: 0.9249999999999999
- type: mrr_at_1
value: 82
- type: mrr_at_10
value: 89.833
- type: mrr_at_100
value: 89.833
- type: mrr_at_1000
value: 89.833
- type: mrr_at_20
value: 89.833
- type: mrr_at_3
value: 89.333
- type: mrr_at_5
value: 89.833
- type: ndcg_at_1
value: 72
- type: ndcg_at_10
value: 68.44200000000001
- type: ndcg_at_100
value: 56.06100000000001
- type: ndcg_at_1000
value: 53.315
- type: ndcg_at_20
value: 65.781
- type: ndcg_at_3
value: 69.69300000000001
- type: ndcg_at_5
value: 70.538
- type: precision_at_1
value: 82
- type: precision_at_10
value: 73.2
- type: precision_at_100
value: 58.34
- type: precision_at_1000
value: 23.854
- type: precision_at_20
value: 70.1
- type: precision_at_3
value: 76.667
- type: precision_at_5
value: 76.4
- type: recall_at_1
value: 0.231
- type: recall_at_10
value: 1.94
- type: recall_at_100
value: 14.26
- type: recall_at_1000
value: 51.013
- type: recall_at_20
value: 3.6519999999999997
- type: recall_at_3
value: 0.623
- type: recall_at_5
value: 1.022
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.3419999999999999
- type: map_at_10
value: 6.959999999999999
- type: map_at_100
value: 12.649
- type: map_at_1000
value: 14.332
- type: map_at_20
value: 9.48
- type: map_at_3
value: 3.447
- type: map_at_5
value: 4.811
- type: mrr_at_1
value: 18.367
- type: mrr_at_10
value: 33.273
- type: mrr_at_100
value: 34.611
- type: mrr_at_1000
value: 34.628
- type: mrr_at_20
value: 34.165
- type: mrr_at_3
value: 29.252
- type: mrr_at_5
value: 30.578
- type: ndcg_at_1
value: 16.326999999999998
- type: ndcg_at_10
value: 18.581
- type: ndcg_at_100
value: 31.512
- type: ndcg_at_1000
value: 43.93
- type: ndcg_at_20
value: 20.578
- type: ndcg_at_3
value: 18.179000000000002
- type: ndcg_at_5
value: 17.772
- type: precision_at_1
value: 18.367
- type: precision_at_10
value: 17.551
- type: precision_at_100
value: 7.102
- type: precision_at_1000
value: 1.533
- type: precision_at_20
value: 14.388000000000002
- type: precision_at_3
value: 20.408
- type: precision_at_5
value: 19.184
- type: recall_at_1
value: 1.3419999999999999
- type: recall_at_10
value: 13.081999999999999
- type: recall_at_100
value: 45.397
- type: recall_at_1000
value: 82.866
- type: recall_at_20
value: 21.034
- type: recall_at_3
value: 4.644
- type: recall_at_5
value: 7.449
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
metrics:
- type: accuracy
value: 67.5634765625
- type: ap
value: 12.539329872788752
- type: f1
value: 51.61250153500541
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 54.850028296547805
- type: f1
value: 55.18064459526432
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 47.6299204409476
- type: v_measures
value:
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- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.78732788937235
- type: cos_sim_ap
value: 66.7369597819357
- type: cos_sim_f1
value: 61.900121802679664
- type: cos_sim_precision
value: 57.48868778280543
- type: cos_sim_recall
value: 67.04485488126649
- type: dot_accuracy
value: 83.77540680693807
- type: dot_ap
value: 66.7494206279536
- type: dot_f1
value: 61.906496660595025
- type: dot_precision
value: 57.34533183352081
- type: dot_recall
value: 67.25593667546174
- type: euclidean_accuracy
value: 83.78136734815521
- type: euclidean_ap
value: 66.72851072777382
- type: euclidean_f1
value: 61.89545676599902
- type: euclidean_precision
value: 57.617098681218735
- type: euclidean_recall
value: 66.86015831134564
- type: manhattan_accuracy
value: 83.69195922989807
- type: manhattan_ap
value: 66.67869948457852
- type: manhattan_f1
value: 61.948212083847096
- type: manhattan_precision
value: 58.14814814814815
- type: manhattan_recall
value: 66.2796833773087
- type: max_accuracy
value: 83.78732788937235
- type: max_ap
value: 66.7494206279536
- type: max_f1
value: 61.948212083847096
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 89.06935227228627
- type: cos_sim_ap
value: 86.01490350477971
- type: cos_sim_f1
value: 78.5821414200534
- type: cos_sim_precision
value: 74.85539061955538
- type: cos_sim_recall
value: 82.69941484447182
- type: dot_accuracy
value: 89.06741180579812
- type: dot_ap
value: 86.00939130135514
- type: dot_f1
value: 78.5863394982604
- type: dot_precision
value: 74.93888384438081
- type: dot_recall
value: 82.60702186633816
- type: euclidean_accuracy
value: 89.06547133930997
- type: euclidean_ap
value: 86.01611265260871
- type: euclidean_f1
value: 78.5754075834664
- type: euclidean_precision
value: 75.89497094483106
- type: euclidean_recall
value: 81.45210963966738
- type: manhattan_accuracy
value: 89.03636434198782
- type: manhattan_ap
value: 85.98483745706906
- type: manhattan_f1
value: 78.52461404019809
- type: manhattan_precision
value: 74.48880906327715
- type: manhattan_recall
value: 83.02279026793964
- type: max_accuracy
value: 89.06935227228627
- type: max_ap
value: 86.01611265260871
- type: max_f1
value: 78.5863394982604
license: apache-2.0
language:
- en
base_model:
- answerdotai/ModernBERT-base
ModernBERT-Embed-Unsupervised
modernbert-embed-unsupervised is the unsupervised checkpoint trained with the contrastors library
for 1 epoch over the 235M weakly-supervised contrastive pairs curated in Nomic Embed.
We suggest using moderbert-embed for embedding tasks.
Performance
The modernbert-unsupervised model performs similarly to the nomic-embed-text-v1_unsup model
| Model | Average (56) | Classification (12) | Clustering (11) | Pair Classification (3) | Reranking (4) | Retrieval (15) | STS (10) | Overall |
|---|---|---|---|---|---|---|---|---|
| nomic-embed-text-v1_unsup | 59.9 | 71.2 | 42.5 | 83.7 | 55.0 | 48.0 | 80.8 | 30.7 |
| modernbert-embed-unsupervised | 60.03 | 72.11 | 44.34 | 82.78 | 55.0 | 47.05 | 80.33 | 31.2 |