metadata
tags:
- mteb
model-index:
- name: model2vec_result_fixed
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 71.7910447761194
- type: ap
value: 33.038020188116036
- type: f1
value: 65.03799728338926
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 72.47644999999999
- type: ap
value: 66.91002822830875
- type: f1
value: 72.2600863044581
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 36.012
- type: f1
value: 35.38209336470206
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 21.124000000000002
- type: map_at_10
value: 34.329
- type: map_at_100
value: 35.612
- type: map_at_1000
value: 35.647
- type: map_at_3
value: 30.263
- type: map_at_5
value: 32.358
- type: mrr_at_1
value: 21.764
- type: mrr_at_10
value: 34.558
- type: mrr_at_100
value: 35.848
- type: mrr_at_1000
value: 35.882999999999996
- type: mrr_at_3
value: 30.441000000000003
- type: mrr_at_5
value: 32.621
- type: ndcg_at_1
value: 21.124000000000002
- type: ndcg_at_10
value: 41.961
- type: ndcg_at_100
value: 47.746
- type: ndcg_at_1000
value: 48.63
- type: ndcg_at_3
value: 33.469
- type: ndcg_at_5
value: 37.261
- type: precision_at_1
value: 21.124000000000002
- type: precision_at_10
value: 6.643000000000001
- type: precision_at_100
value: 0.9249999999999999
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 14.272000000000002
- type: precision_at_5
value: 10.413
- type: recall_at_1
value: 21.124000000000002
- type: recall_at_10
value: 66.43
- type: recall_at_100
value: 92.461
- type: recall_at_1000
value: 99.289
- type: recall_at_3
value: 42.817
- type: recall_at_5
value: 52.063
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 35.422522812555265
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 25.271555965391595
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 54.11180788298141
- type: mrr
value: 68.73587477465594
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 79.11612347924923
- type: cos_sim_spearman
value: 75.85775256673794
- type: euclidean_pearson
value: 77.46080567383865
- type: euclidean_spearman
value: 75.85775256673794
- type: manhattan_pearson
value: 77.7319143671074
- type: manhattan_spearman
value: 75.98908086034702
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 72.63636363636363
- type: f1
value: 71.69751597573539
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 30.861094091770546
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 20.222365644637257
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 19.939
- type: map_at_10
value: 26.924
- type: map_at_100
value: 28.16
- type: map_at_1000
value: 28.316999999999997
- type: map_at_3
value: 24.45
- type: map_at_5
value: 25.751
- type: mrr_at_1
value: 25.894000000000002
- type: mrr_at_10
value: 32.652
- type: mrr_at_100
value: 33.584
- type: mrr_at_1000
value: 33.664
- type: mrr_at_3
value: 30.520000000000003
- type: mrr_at_5
value: 31.671
- type: ndcg_at_1
value: 25.894000000000002
- type: ndcg_at_10
value: 31.835
- type: ndcg_at_100
value: 37.325
- type: ndcg_at_1000
value: 40.586
- type: ndcg_at_3
value: 28.143
- type: ndcg_at_5
value: 29.648999999999997
- type: precision_at_1
value: 25.894000000000002
- type: precision_at_10
value: 6.194999999999999
- type: precision_at_100
value: 1.126
- type: precision_at_1000
value: 0.173
- type: precision_at_3
value: 13.543
- type: precision_at_5
value: 9.757
- type: recall_at_1
value: 19.939
- type: recall_at_10
value: 40.537
- type: recall_at_100
value: 64.717
- type: recall_at_1000
value: 87.01299999999999
- type: recall_at_3
value: 29.301
- type: recall_at_5
value: 33.918
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 16.601
- type: map_at_10
value: 22.07
- type: map_at_100
value: 22.958000000000002
- type: map_at_1000
value: 23.074
- type: map_at_3
value: 20.137
- type: map_at_5
value: 21.315
- type: mrr_at_1
value: 20.382
- type: mrr_at_10
value: 25.954
- type: mrr_at_100
value: 26.723000000000003
- type: mrr_at_1000
value: 26.791999999999998
- type: mrr_at_3
value: 24.098
- type: mrr_at_5
value: 25.27
- type: ndcg_at_1
value: 20.382
- type: ndcg_at_10
value: 25.734
- type: ndcg_at_100
value: 29.952
- type: ndcg_at_1000
value: 32.618
- type: ndcg_at_3
value: 22.445999999999998
- type: ndcg_at_5
value: 24.162
- type: precision_at_1
value: 20.382
- type: precision_at_10
value: 4.662
- type: precision_at_100
value: 0.8580000000000001
- type: precision_at_1000
value: 0.133
- type: precision_at_3
value: 10.446
- type: precision_at_5
value: 7.682
- type: recall_at_1
value: 16.601
- type: recall_at_10
value: 32.882
- type: recall_at_100
value: 51.273
- type: recall_at_1000
value: 69.33200000000001
- type: recall_at_3
value: 23.54
- type: recall_at_5
value: 28.054000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 25.386999999999997
- type: map_at_10
value: 34.183
- type: map_at_100
value: 35.198
- type: map_at_1000
value: 35.292
- type: map_at_3
value: 31.466
- type: map_at_5
value: 33.037
- type: mrr_at_1
value: 29.404000000000003
- type: mrr_at_10
value: 37.519000000000005
- type: mrr_at_100
value: 38.305
- type: mrr_at_1000
value: 38.365
- type: mrr_at_3
value: 35.152
- type: mrr_at_5
value: 36.531000000000006
- type: ndcg_at_1
value: 29.404000000000003
- type: ndcg_at_10
value: 39.235
- type: ndcg_at_100
value: 44.072
- type: ndcg_at_1000
value: 46.272999999999996
- type: ndcg_at_3
value: 34.292
- type: ndcg_at_5
value: 36.735
- type: precision_at_1
value: 29.404000000000003
- type: precision_at_10
value: 6.539000000000001
- type: precision_at_100
value: 0.984
- type: precision_at_1000
value: 0.125
- type: precision_at_3
value: 15.423
- type: precision_at_5
value: 10.984
- type: recall_at_1
value: 25.386999999999997
- type: recall_at_10
value: 51.256
- type: recall_at_100
value: 73.53699999999999
- type: recall_at_1000
value: 89.522
- type: recall_at_3
value: 37.830999999999996
- type: recall_at_5
value: 43.811
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 10.832
- type: map_at_10
value: 16.154
- type: map_at_100
value: 16.863
- type: map_at_1000
value: 16.979
- type: map_at_3
value: 14.654
- type: map_at_5
value: 15.634
- type: mrr_at_1
value: 11.751000000000001
- type: mrr_at_10
value: 17.286
- type: mrr_at_100
value: 18.019
- type: mrr_at_1000
value: 18.122
- type: mrr_at_3
value: 15.706000000000001
- type: mrr_at_5
value: 16.774
- type: ndcg_at_1
value: 11.751000000000001
- type: ndcg_at_10
value: 19.197
- type: ndcg_at_100
value: 23.159
- type: ndcg_at_1000
value: 26.453
- type: ndcg_at_3
value: 16.186
- type: ndcg_at_5
value: 17.936
- type: precision_at_1
value: 11.751000000000001
- type: precision_at_10
value: 3.1189999999999998
- type: precision_at_100
value: 0.54
- type: precision_at_1000
value: 0.086
- type: precision_at_3
value: 7.194000000000001
- type: precision_at_5
value: 5.311
- type: recall_at_1
value: 10.832
- type: recall_at_10
value: 27.472
- type: recall_at_100
value: 46.471000000000004
- type: recall_at_1000
value: 71.91199999999999
- type: recall_at_3
value: 19.417
- type: recall_at_5
value: 23.577
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 6.019
- type: map_at_10
value: 9.584
- type: map_at_100
value: 10.433
- type: map_at_1000
value: 10.562000000000001
- type: map_at_3
value: 8.351
- type: map_at_5
value: 9.005
- type: mrr_at_1
value: 7.2139999999999995
- type: mrr_at_10
value: 11.62
- type: mrr_at_100
value: 12.469
- type: mrr_at_1000
value: 12.577
- type: mrr_at_3
value: 10.158000000000001
- type: mrr_at_5
value: 10.898
- type: ndcg_at_1
value: 7.2139999999999995
- type: ndcg_at_10
value: 12.145
- type: ndcg_at_100
value: 16.672
- type: ndcg_at_1000
value: 20.342
- type: ndcg_at_3
value: 9.607000000000001
- type: ndcg_at_5
value: 10.712000000000002
- type: precision_at_1
value: 7.2139999999999995
- type: precision_at_10
value: 2.338
- type: precision_at_100
value: 0.5459999999999999
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 4.726
- type: precision_at_5
value: 3.5319999999999996
- type: recall_at_1
value: 6.019
- type: recall_at_10
value: 18.102999999999998
- type: recall_at_100
value: 38.482
- type: recall_at_1000
value: 65.436
- type: recall_at_3
value: 11.178
- type: recall_at_5
value: 13.877
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 16.822
- type: map_at_10
value: 22.476
- type: map_at_100
value: 23.69
- type: map_at_1000
value: 23.827
- type: map_at_3
value: 20.441000000000003
- type: map_at_5
value: 21.512
- type: mrr_at_1
value: 20.788999999999998
- type: mrr_at_10
value: 26.674
- type: mrr_at_100
value: 27.675
- type: mrr_at_1000
value: 27.753
- type: mrr_at_3
value: 24.495
- type: mrr_at_5
value: 25.629999999999995
- type: ndcg_at_1
value: 20.788999999999998
- type: ndcg_at_10
value: 26.667999999999996
- type: ndcg_at_100
value: 32.565
- type: ndcg_at_1000
value: 35.634
- type: ndcg_at_3
value: 22.942
- type: ndcg_at_5
value: 24.514
- type: precision_at_1
value: 20.788999999999998
- type: precision_at_10
value: 4.947
- type: precision_at_100
value: 0.96
- type: precision_at_1000
value: 0.14100000000000001
- type: precision_at_3
value: 10.748000000000001
- type: precision_at_5
value: 7.68
- type: recall_at_1
value: 16.822
- type: recall_at_10
value: 35.237
- type: recall_at_100
value: 61.219
- type: recall_at_1000
value: 82.499
- type: recall_at_3
value: 24.524
- type: recall_at_5
value: 28.787000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 12.416
- type: map_at_10
value: 17.684
- type: map_at_100
value: 18.851000000000003
- type: map_at_1000
value: 18.991
- type: map_at_3
value: 15.770999999999999
- type: map_at_5
value: 16.606
- type: mrr_at_1
value: 15.068000000000001
- type: mrr_at_10
value: 21.288
- type: mrr_at_100
value: 22.306
- type: mrr_at_1000
value: 22.396
- type: mrr_at_3
value: 19.273
- type: mrr_at_5
value: 20.398
- type: ndcg_at_1
value: 15.068000000000001
- type: ndcg_at_10
value: 21.66
- type: ndcg_at_100
value: 27.245
- type: ndcg_at_1000
value: 30.591
- type: ndcg_at_3
value: 17.968999999999998
- type: ndcg_at_5
value: 19.352
- type: precision_at_1
value: 15.068000000000001
- type: precision_at_10
value: 4.326
- type: precision_at_100
value: 0.855
- type: precision_at_1000
value: 0.132
- type: precision_at_3
value: 8.713999999999999
- type: precision_at_5
value: 6.3469999999999995
- type: recall_at_1
value: 12.416
- type: recall_at_10
value: 30.008000000000003
- type: recall_at_100
value: 54.498999999999995
- type: recall_at_1000
value: 78.32000000000001
- type: recall_at_3
value: 19.79
- type: recall_at_5
value: 23.376
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 13.36133333333333
- type: map_at_10
value: 18.6895
- type: map_at_100
value: 19.62275
- type: map_at_1000
value: 19.748833333333334
- type: map_at_3
value: 16.8815
- type: map_at_5
value: 17.84133333333334
- type: mrr_at_1
value: 16.093083333333336
- type: mrr_at_10
value: 21.63225
- type: mrr_at_100
value: 22.477333333333334
- type: mrr_at_1000
value: 22.563166666666664
- type: mrr_at_3
value: 19.83
- type: mrr_at_5
value: 20.799166666666668
- type: ndcg_at_1
value: 16.093083333333336
- type: ndcg_at_10
value: 22.30233333333333
- type: ndcg_at_100
value: 27.000333333333337
- type: ndcg_at_1000
value: 30.14883333333333
- type: ndcg_at_3
value: 18.966499999999996
- type: ndcg_at_5
value: 20.425916666666666
- type: precision_at_1
value: 16.093083333333336
- type: precision_at_10
value: 4.062916666666667
- type: precision_at_100
value: 0.7655833333333333
- type: precision_at_1000
value: 0.12208333333333334
- type: precision_at_3
value: 8.848666666666666
- type: precision_at_5
value: 6.400833333333333
- type: recall_at_1
value: 13.36133333333333
- type: recall_at_10
value: 30.32383333333334
- type: recall_at_100
value: 51.808
- type: recall_at_1000
value: 74.64483333333332
- type: recall_at_3
value: 20.884249999999994
- type: recall_at_5
value: 24.67641666666667
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 9.722999999999999
- type: map_at_10
value: 14.280999999999999
- type: map_at_100
value: 15.065000000000001
- type: map_at_1000
value: 15.154
- type: map_at_3
value: 13.004
- type: map_at_5
value: 13.626
- type: mrr_at_1
value: 11.81
- type: mrr_at_10
value: 16.384
- type: mrr_at_100
value: 17.189
- type: mrr_at_1000
value: 17.269000000000002
- type: mrr_at_3
value: 15.082
- type: mrr_at_5
value: 15.711
- type: ndcg_at_1
value: 11.81
- type: ndcg_at_10
value: 17.253
- type: ndcg_at_100
value: 21.404
- type: ndcg_at_1000
value: 24.09
- type: ndcg_at_3
value: 14.716999999999999
- type: ndcg_at_5
value: 15.706000000000001
- type: precision_at_1
value: 11.81
- type: precision_at_10
value: 2.9749999999999996
- type: precision_at_100
value: 0.543
- type: precision_at_1000
value: 0.084
- type: precision_at_3
value: 6.902
- type: precision_at_5
value: 4.816
- type: recall_at_1
value: 9.722999999999999
- type: recall_at_10
value: 24.569
- type: recall_at_100
value: 43.997
- type: recall_at_1000
value: 64.44
- type: recall_at_3
value: 17.134
- type: recall_at_5
value: 19.72
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 7.497
- type: map_at_10
value: 10.846
- type: map_at_100
value: 11.498999999999999
- type: map_at_1000
value: 11.618
- type: map_at_3
value: 9.658999999999999
- type: map_at_5
value: 10.298
- type: mrr_at_1
value: 9.119
- type: mrr_at_10
value: 12.992999999999999
- type: mrr_at_100
value: 13.700999999999999
- type: mrr_at_1000
value: 13.797999999999998
- type: mrr_at_3
value: 11.666
- type: mrr_at_5
value: 12.362
- type: ndcg_at_1
value: 9.119
- type: ndcg_at_10
value: 13.308
- type: ndcg_at_100
value: 16.98
- type: ndcg_at_1000
value: 20.488
- type: ndcg_at_3
value: 10.982
- type: ndcg_at_5
value: 12.003
- type: precision_at_1
value: 9.119
- type: precision_at_10
value: 2.4979999999999998
- type: precision_at_100
value: 0.519
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 5.288
- type: precision_at_5
value: 3.8890000000000002
- type: recall_at_1
value: 7.497
- type: recall_at_10
value: 18.817999999999998
- type: recall_at_100
value: 35.893
- type: recall_at_1000
value: 61.966
- type: recall_at_3
value: 12.199
- type: recall_at_5
value: 14.87
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 11.856
- type: map_at_10
value: 16.685
- type: map_at_100
value: 17.433
- type: map_at_1000
value: 17.558
- type: map_at_3
value: 15.021
- type: map_at_5
value: 15.931999999999999
- type: mrr_at_1
value: 14.179
- type: mrr_at_10
value: 19.398
- type: mrr_at_100
value: 20.153
- type: mrr_at_1000
value: 20.251
- type: mrr_at_3
value: 17.631
- type: mrr_at_5
value: 18.517
- type: ndcg_at_1
value: 14.179
- type: ndcg_at_10
value: 20.061999999999998
- type: ndcg_at_100
value: 24.149
- type: ndcg_at_1000
value: 27.644999999999996
- type: ndcg_at_3
value: 16.794
- type: ndcg_at_5
value: 18.224
- type: precision_at_1
value: 14.179
- type: precision_at_10
value: 3.582
- type: precision_at_100
value: 0.623
- type: precision_at_1000
value: 0.105
- type: precision_at_3
value: 7.774
- type: precision_at_5
value: 5.5969999999999995
- type: recall_at_1
value: 11.856
- type: recall_at_10
value: 27.778999999999996
- type: recall_at_100
value: 46.733000000000004
- type: recall_at_1000
value: 72.481
- type: recall_at_3
value: 18.859
- type: recall_at_5
value: 22.435
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 13.164000000000001
- type: map_at_10
value: 19.317999999999998
- type: map_at_100
value: 20.463
- type: map_at_1000
value: 20.646
- type: map_at_3
value: 17.126
- type: map_at_5
value: 18.056
- type: mrr_at_1
value: 16.601
- type: mrr_at_10
value: 22.62
- type: mrr_at_100
value: 23.601
- type: mrr_at_1000
value: 23.676
- type: mrr_at_3
value: 20.685000000000002
- type: mrr_at_5
value: 21.465999999999998
- type: ndcg_at_1
value: 16.601
- type: ndcg_at_10
value: 23.735999999999997
- type: ndcg_at_100
value: 29.047
- type: ndcg_at_1000
value: 32.323
- type: ndcg_at_3
value: 20.013
- type: ndcg_at_5
value: 21.165
- type: precision_at_1
value: 16.601
- type: precision_at_10
value: 4.7829999999999995
- type: precision_at_100
value: 1.077
- type: precision_at_1000
value: 0.197
- type: precision_at_3
value: 9.881
- type: precision_at_5
value: 7.074999999999999
- type: recall_at_1
value: 13.164000000000001
- type: recall_at_10
value: 33.041
- type: recall_at_100
value: 57.907
- type: recall_at_1000
value: 79.887
- type: recall_at_3
value: 21.397
- type: recall_at_5
value: 24.863
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 10.08
- type: map_at_10
value: 14.069
- type: map_at_100
value: 14.860000000000001
- type: map_at_1000
value: 14.968
- type: map_at_3
value: 12.498
- type: map_at_5
value: 13.324
- type: mrr_at_1
value: 10.906
- type: mrr_at_10
value: 15.198999999999998
- type: mrr_at_100
value: 16.003
- type: mrr_at_1000
value: 16.095000000000002
- type: mrr_at_3
value: 13.494
- type: mrr_at_5
value: 14.362
- type: ndcg_at_1
value: 10.906
- type: ndcg_at_10
value: 16.794999999999998
- type: ndcg_at_100
value: 21.434
- type: ndcg_at_1000
value: 24.743000000000002
- type: ndcg_at_3
value: 13.507
- type: ndcg_at_5
value: 14.953
- type: precision_at_1
value: 10.906
- type: precision_at_10
value: 2.791
- type: precision_at_100
value: 0.5559999999999999
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 5.545
- type: precision_at_5
value: 4.14
- type: recall_at_1
value: 10.08
- type: recall_at_10
value: 24.184
- type: recall_at_100
value: 46.967999999999996
- type: recall_at_1000
value: 72.92999999999999
- type: recall_at_3
value: 15.440999999999999
- type: recall_at_5
value: 18.829
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 6.537
- type: map_at_10
value: 11.465
- type: map_at_100
value: 12.851
- type: map_at_1000
value: 13.045000000000002
- type: map_at_3
value: 9.369
- type: map_at_5
value: 10.331
- type: mrr_at_1
value: 15.244
- type: mrr_at_10
value: 23.593
- type: mrr_at_100
value: 24.772
- type: mrr_at_1000
value: 24.839
- type: mrr_at_3
value: 20.467
- type: mrr_at_5
value: 22.027
- type: ndcg_at_1
value: 15.244
- type: ndcg_at_10
value: 17.288999999999998
- type: ndcg_at_100
value: 23.757
- type: ndcg_at_1000
value: 27.725
- type: ndcg_at_3
value: 13.245000000000001
- type: ndcg_at_5
value: 14.485000000000001
- type: precision_at_1
value: 15.244
- type: precision_at_10
value: 5.733
- type: precision_at_100
value: 1.264
- type: precision_at_1000
value: 0.199
- type: precision_at_3
value: 10.054
- type: precision_at_5
value: 7.9350000000000005
- type: recall_at_1
value: 6.537
- type: recall_at_10
value: 22.046
- type: recall_at_100
value: 44.818000000000005
- type: recall_at_1000
value: 67.676
- type: recall_at_3
value: 12.232
- type: recall_at_5
value: 15.540999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 4.304
- type: map_at_10
value: 9.944
- type: map_at_100
value: 14.113000000000001
- type: map_at_1000
value: 15.085
- type: map_at_3
value: 7.228999999999999
- type: map_at_5
value: 8.368
- type: mrr_at_1
value: 43
- type: mrr_at_10
value: 53.303999999999995
- type: mrr_at_100
value: 53.979
- type: mrr_at_1000
value: 54.005
- type: mrr_at_3
value: 50.542
- type: mrr_at_5
value: 52.154
- type: ndcg_at_1
value: 31.5
- type: ndcg_at_10
value: 24.235
- type: ndcg_at_100
value: 28.01
- type: ndcg_at_1000
value: 34.724
- type: ndcg_at_3
value: 26.682
- type: ndcg_at_5
value: 25.249
- type: precision_at_1
value: 43
- type: precision_at_10
value: 21.65
- type: precision_at_100
value: 6.97
- type: precision_at_1000
value: 1.4449999999999998
- type: precision_at_3
value: 32.25
- type: precision_at_5
value: 27.250000000000004
- type: recall_at_1
value: 4.304
- type: recall_at_10
value: 15.014
- type: recall_at_100
value: 35.115
- type: recall_at_1000
value: 58.52
- type: recall_at_3
value: 8.698
- type: recall_at_5
value: 11.052
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 45.09
- type: f1
value: 41.3731018097549
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 16.349
- type: map_at_10
value: 24.917
- type: map_at_100
value: 26.003
- type: map_at_1000
value: 26.072
- type: map_at_3
value: 22.067999999999998
- type: map_at_5
value: 23.610999999999997
- type: mrr_at_1
value: 17.416999999999998
- type: mrr_at_10
value: 26.44
- type: mrr_at_100
value: 27.509
- type: mrr_at_1000
value: 27.57
- type: mrr_at_3
value: 23.422
- type: mrr_at_5
value: 25.063999999999997
- type: ndcg_at_1
value: 17.416999999999998
- type: ndcg_at_10
value: 30.267
- type: ndcg_at_100
value: 35.650999999999996
- type: ndcg_at_1000
value: 37.57
- type: ndcg_at_3
value: 24.303
- type: ndcg_at_5
value: 27.099
- type: precision_at_1
value: 17.416999999999998
- type: precision_at_10
value: 4.9590000000000005
- type: precision_at_100
value: 0.7799999999999999
- type: precision_at_1000
value: 0.096
- type: precision_at_3
value: 10.536
- type: precision_at_5
value: 7.807
- type: recall_at_1
value: 16.349
- type: recall_at_10
value: 45.678999999999995
- type: recall_at_100
value: 70.541
- type: recall_at_1000
value: 85.36500000000001
- type: recall_at_3
value: 29.42
- type: recall_at_5
value: 36.112
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 7.478999999999999
- type: map_at_10
value: 11.933
- type: map_at_100
value: 13.078000000000001
- type: map_at_1000
value: 13.267999999999999
- type: map_at_3
value: 9.975000000000001
- type: map_at_5
value: 10.928
- type: mrr_at_1
value: 14.66
- type: mrr_at_10
value: 20.737
- type: mrr_at_100
value: 21.719
- type: mrr_at_1000
value: 21.809
- type: mrr_at_3
value: 18.57
- type: mrr_at_5
value: 19.558
- type: ndcg_at_1
value: 14.66
- type: ndcg_at_10
value: 16.619
- type: ndcg_at_100
value: 22.467000000000002
- type: ndcg_at_1000
value: 26.745
- type: ndcg_at_3
value: 13.547
- type: ndcg_at_5
value: 14.466999999999999
- type: precision_at_1
value: 14.66
- type: precision_at_10
value: 4.8149999999999995
- type: precision_at_100
value: 1.0619999999999998
- type: precision_at_1000
value: 0.182
- type: precision_at_3
value: 9.002
- type: precision_at_5
value: 6.79
- type: recall_at_1
value: 7.478999999999999
- type: recall_at_10
value: 21.884
- type: recall_at_100
value: 45.545
- type: recall_at_1000
value: 71.887
- type: recall_at_3
value: 12.485
- type: recall_at_5
value: 15.862000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 20.628
- type: map_at_10
value: 28.559
- type: map_at_100
value: 29.5
- type: map_at_1000
value: 29.601
- type: map_at_3
value: 26.429000000000002
- type: map_at_5
value: 27.589000000000002
- type: mrr_at_1
value: 41.256
- type: mrr_at_10
value: 48.842999999999996
- type: mrr_at_100
value: 49.523
- type: mrr_at_1000
value: 49.57
- type: mrr_at_3
value: 46.894000000000005
- type: mrr_at_5
value: 48.024
- type: ndcg_at_1
value: 41.256
- type: ndcg_at_10
value: 36.217
- type: ndcg_at_100
value: 40.422000000000004
- type: ndcg_at_1000
value: 42.762
- type: ndcg_at_3
value: 32.275999999999996
- type: ndcg_at_5
value: 34.184
- type: precision_at_1
value: 41.256
- type: precision_at_10
value: 7.838000000000001
- type: precision_at_100
value: 1.119
- type: precision_at_1000
value: 0.14300000000000002
- type: precision_at_3
value: 20.207
- type: precision_at_5
value: 13.636999999999999
- type: recall_at_1
value: 20.628
- type: recall_at_10
value: 39.190000000000005
- type: recall_at_100
value: 55.962
- type: recall_at_1000
value: 71.56700000000001
- type: recall_at_3
value: 30.311
- type: recall_at_5
value: 34.092
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 70.78
- type: ap
value: 65.09281598781793
- type: f1
value: 70.56498155979408
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 7.149
- type: map_at_10
value: 12.494
- type: map_at_100
value: 13.438
- type: map_at_1000
value: 13.544
- type: map_at_3
value: 10.58
- type: map_at_5
value: 11.623
- type: mrr_at_1
value: 7.364
- type: mrr_at_10
value: 12.817
- type: mrr_at_100
value: 13.758000000000001
- type: mrr_at_1000
value: 13.861
- type: mrr_at_3
value: 10.879
- type: mrr_at_5
value: 11.942
- type: ndcg_at_1
value: 7.364
- type: ndcg_at_10
value: 15.787999999999998
- type: ndcg_at_100
value: 20.973
- type: ndcg_at_1000
value: 24.156
- type: ndcg_at_3
value: 11.782
- type: ndcg_at_5
value: 13.675
- type: precision_at_1
value: 7.364
- type: precision_at_10
value: 2.702
- type: precision_at_100
value: 0.539
- type: precision_at_1000
value: 0.08099999999999999
- type: precision_at_3
value: 5.148
- type: precision_at_5
value: 4.043
- type: recall_at_1
value: 7.149
- type: recall_at_10
value: 26.039
- type: recall_at_100
value: 51.405
- type: recall_at_1000
value: 76.97500000000001
- type: recall_at_3
value: 14.979000000000001
- type: recall_at_5
value: 19.553
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 88.95576835385319
- type: f1
value: 88.06364678376042
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 56.99726402188783
- type: f1
value: 38.19916053247397
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 63.79287155346336
- type: f1
value: 61.634629394462934
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 70.30934767989241
- type: f1
value: 68.77914761769519
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 27.617349409076375
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 23.802943866708315
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 29.431263837648547
- type: mrr
value: 30.205900793315156
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 3.479
- type: map_at_10
value: 7.603
- type: map_at_100
value: 9.725999999999999
- type: map_at_1000
value: 10.84
- type: map_at_3
value: 5.844
- type: map_at_5
value: 6.732
- type: mrr_at_1
value: 33.745999999999995
- type: mrr_at_10
value: 43.516
- type: mrr_at_100
value: 44.190000000000005
- type: mrr_at_1000
value: 44.248
- type: mrr_at_3
value: 41.744
- type: mrr_at_5
value: 42.828
- type: ndcg_at_1
value: 31.424000000000003
- type: ndcg_at_10
value: 24.267
- type: ndcg_at_100
value: 22.416
- type: ndcg_at_1000
value: 31.165
- type: ndcg_at_3
value: 28.349999999999998
- type: ndcg_at_5
value: 26.596999999999998
- type: precision_at_1
value: 33.745999999999995
- type: precision_at_10
value: 18.173000000000002
- type: precision_at_100
value: 6.142
- type: precision_at_1000
value: 1.856
- type: precision_at_3
value: 27.141
- type: precision_at_5
value: 22.91
- type: recall_at_1
value: 3.479
- type: recall_at_10
value: 10.838000000000001
- type: recall_at_100
value: 23.817
- type: recall_at_1000
value: 54.910000000000004
- type: recall_at_3
value: 7.236
- type: recall_at_5
value: 9.003
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 8.413
- type: map_at_10
value: 15.137
- type: map_at_100
value: 16.393
- type: map_at_1000
value: 16.492
- type: map_at_3
value: 12.584999999999999
- type: map_at_5
value: 13.963000000000001
- type: mrr_at_1
value: 9.762
- type: mrr_at_10
value: 16.813
- type: mrr_at_100
value: 17.98
- type: mrr_at_1000
value: 18.064
- type: mrr_at_3
value: 14.257
- type: mrr_at_5
value: 15.651000000000002
- type: ndcg_at_1
value: 9.733
- type: ndcg_at_10
value: 19.543
- type: ndcg_at_100
value: 25.965
- type: ndcg_at_1000
value: 28.663
- type: ndcg_at_3
value: 14.308000000000002
- type: ndcg_at_5
value: 16.771
- type: precision_at_1
value: 9.733
- type: precision_at_10
value: 3.7249999999999996
- type: precision_at_100
value: 0.739
- type: precision_at_1000
value: 0.1
- type: precision_at_3
value: 6.856
- type: precision_at_5
value: 5.475
- type: recall_at_1
value: 8.413
- type: recall_at_10
value: 31.668000000000003
- type: recall_at_100
value: 61.551
- type: recall_at_1000
value: 82.228
- type: recall_at_3
value: 17.669
- type: recall_at_5
value: 23.488999999999997
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 63.522
- type: map_at_10
value: 76.068
- type: map_at_100
value: 76.858
- type: map_at_1000
value: 76.89099999999999
- type: map_at_3
value: 73.07000000000001
- type: map_at_5
value: 74.883
- type: mrr_at_1
value: 73.11
- type: mrr_at_10
value: 80.134
- type: mrr_at_100
value: 80.403
- type: mrr_at_1000
value: 80.411
- type: mrr_at_3
value: 78.728
- type: mrr_at_5
value: 79.60000000000001
- type: ndcg_at_1
value: 73.1
- type: ndcg_at_10
value: 80.595
- type: ndcg_at_100
value: 82.749
- type: ndcg_at_1000
value: 83.14099999999999
- type: ndcg_at_3
value: 77.021
- type: ndcg_at_5
value: 78.846
- type: precision_at_1
value: 73.1
- type: precision_at_10
value: 12.206999999999999
- type: precision_at_100
value: 1.459
- type: precision_at_1000
value: 0.155
- type: precision_at_3
value: 33.36
- type: precision_at_5
value: 22.09
- type: recall_at_1
value: 63.522
- type: recall_at_10
value: 89.32600000000001
- type: recall_at_100
value: 97.35000000000001
- type: recall_at_1000
value: 99.613
- type: recall_at_3
value: 79.074
- type: recall_at_5
value: 84.143
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 39.546512756347916
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 47.07923662495948
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.053
- type: map_at_10
value: 6.912999999999999
- type: map_at_100
value: 8.261000000000001
- type: map_at_1000
value: 8.530999999999999
- type: map_at_3
value: 5.094
- type: map_at_5
value: 5.997
- type: mrr_at_1
value: 15
- type: mrr_at_10
value: 22.795
- type: mrr_at_100
value: 24.008
- type: mrr_at_1000
value: 24.099999999999998
- type: mrr_at_3
value: 20.1
- type: mrr_at_5
value: 21.685
- type: ndcg_at_1
value: 15
- type: ndcg_at_10
value: 12.386999999999999
- type: ndcg_at_100
value: 18.533
- type: ndcg_at_1000
value: 23.955000000000002
- type: ndcg_at_3
value: 11.75
- type: ndcg_at_5
value: 10.285
- type: precision_at_1
value: 15
- type: precision_at_10
value: 6.36
- type: precision_at_100
value: 1.528
- type: precision_at_1000
value: 0.28300000000000003
- type: precision_at_3
value: 10.767
- type: precision_at_5
value: 8.9
- type: recall_at_1
value: 3.053
- type: recall_at_10
value: 12.873000000000001
- type: recall_at_100
value: 30.982
- type: recall_at_1000
value: 57.489999999999995
- type: recall_at_3
value: 6.553000000000001
- type: recall_at_5
value: 9.013
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 75.6733681207629
- type: cos_sim_spearman
value: 64.67529822790183
- type: euclidean_pearson
value: 69.13481548437119
- type: euclidean_spearman
value: 64.67521597440148
- type: manhattan_pearson
value: 69.01619022585454
- type: manhattan_spearman
value: 64.8728374071917
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 72.06681953798454
- type: cos_sim_spearman
value: 62.247506425866405
- type: euclidean_pearson
value: 68.05816014766324
- type: euclidean_spearman
value: 62.24902354181767
- type: manhattan_pearson
value: 66.68543187933726
- type: manhattan_spearman
value: 61.438544148098664
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 76.53983672284885
- type: cos_sim_spearman
value: 77.2760080817994
- type: euclidean_pearson
value: 76.7796065728204
- type: euclidean_spearman
value: 77.27600787572996
- type: manhattan_pearson
value: 76.37651419577129
- type: manhattan_spearman
value: 76.85568457177312
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 76.2085441120845
- type: cos_sim_spearman
value: 71.91409062241355
- type: euclidean_pearson
value: 74.52730472762947
- type: euclidean_spearman
value: 71.91409512725335
- type: manhattan_pearson
value: 74.53275469819042
- type: manhattan_spearman
value: 71.9720930787841
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 79.2427339046162
- type: cos_sim_spearman
value: 79.75345017876988
- type: euclidean_pearson
value: 79.31395774152486
- type: euclidean_spearman
value: 79.75345672749796
- type: manhattan_pearson
value: 79.24199253925532
- type: manhattan_spearman
value: 79.64057053536243
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 75.64452384480809
- type: cos_sim_spearman
value: 76.26343905510407
- type: euclidean_pearson
value: 75.64112078051633
- type: euclidean_spearman
value: 76.26343823222666
- type: manhattan_pearson
value: 75.32718790811802
- type: manhattan_spearman
value: 75.9420892784719
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 84.67406953406964
- type: cos_sim_spearman
value: 85.96709815630739
- type: euclidean_pearson
value: 84.71863724469544
- type: euclidean_spearman
value: 85.96709815630739
- type: manhattan_pearson
value: 85.07894738833434
- type: manhattan_spearman
value: 86.57110045700985
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 59.318066667301615
- type: cos_sim_spearman
value: 63.07956002739231
- type: euclidean_pearson
value: 62.464248268498814
- type: euclidean_spearman
value: 63.07956002739231
- type: manhattan_pearson
value: 62.04813588964373
- type: manhattan_spearman
value: 61.83898606879604
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 77.25982574948274
- type: cos_sim_spearman
value: 75.4051305973876
- type: euclidean_pearson
value: 77.1987828515963
- type: euclidean_spearman
value: 75.40516069202422
- type: manhattan_pearson
value: 77.04099633595793
- type: manhattan_spearman
value: 75.32222510947251
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 72.10127087089839
- type: mrr
value: 90.62288020621355
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 35.5
- type: map_at_10
value: 45.238
- type: map_at_100
value: 46.135999999999996
- type: map_at_1000
value: 46.181
- type: map_at_3
value: 42.329
- type: map_at_5
value: 44.054
- type: mrr_at_1
value: 37.667
- type: mrr_at_10
value: 46.661
- type: mrr_at_100
value: 47.378
- type: mrr_at_1000
value: 47.418
- type: mrr_at_3
value: 43.944
- type: mrr_at_5
value: 45.528
- type: ndcg_at_1
value: 37.667
- type: ndcg_at_10
value: 50.63999999999999
- type: ndcg_at_100
value: 54.885
- type: ndcg_at_1000
value: 56.274
- type: ndcg_at_3
value: 44.891999999999996
- type: ndcg_at_5
value: 47.788000000000004
- type: precision_at_1
value: 37.667
- type: precision_at_10
value: 7.3
- type: precision_at_100
value: 0.97
- type: precision_at_1000
value: 0.11
- type: precision_at_3
value: 18.333
- type: precision_at_5
value: 12.6
- type: recall_at_1
value: 35.5
- type: recall_at_10
value: 66.178
- type: recall_at_100
value: 85.9
- type: recall_at_1000
value: 97.1
- type: recall_at_3
value: 50.306
- type: recall_at_5
value: 57.443999999999996
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.71386138613862
- type: cos_sim_ap
value: 90.20131932554314
- type: cos_sim_f1
value: 84.7749114820435
- type: cos_sim_precision
value: 85.7727737973388
- type: cos_sim_recall
value: 83.8
- type: dot_accuracy
value: 99.71386138613862
- type: dot_ap
value: 90.20131927652947
- type: dot_f1
value: 84.7749114820435
- type: dot_precision
value: 85.7727737973388
- type: dot_recall
value: 83.8
- type: euclidean_accuracy
value: 99.71386138613862
- type: euclidean_ap
value: 90.20131927652946
- type: euclidean_f1
value: 84.7749114820435
- type: euclidean_precision
value: 85.7727737973388
- type: euclidean_recall
value: 83.8
- type: manhattan_accuracy
value: 99.7059405940594
- type: manhattan_ap
value: 90.00682250828238
- type: manhattan_f1
value: 84.44211629125196
- type: manhattan_precision
value: 88.66886688668868
- type: manhattan_recall
value: 80.60000000000001
- type: max_accuracy
value: 99.71386138613862
- type: max_ap
value: 90.20131932554314
- type: max_f1
value: 84.7749114820435
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 48.18939518021159
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 30.748387331082416
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 43.24644967679195
- type: mrr
value: 43.66944126135303
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 29.88359913790285
- type: cos_sim_spearman
value: 29.20319307230353
- type: dot_pearson
value: 29.883592420103206
- type: dot_spearman
value: 29.228231500970136
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.148
- type: map_at_10
value: 0.971
- type: map_at_100
value: 4.65
- type: map_at_1000
value: 11.509
- type: map_at_3
value: 0.366
- type: map_at_5
value: 0.5599999999999999
- type: mrr_at_1
value: 62
- type: mrr_at_10
value: 70.069
- type: mrr_at_100
value: 70.455
- type: mrr_at_1000
value: 70.455
- type: mrr_at_3
value: 68
- type: mrr_at_5
value: 69.19999999999999
- type: ndcg_at_1
value: 56.00000000000001
- type: ndcg_at_10
value: 45.729
- type: ndcg_at_100
value: 32.757
- type: ndcg_at_1000
value: 29.631999999999998
- type: ndcg_at_3
value: 50.407999999999994
- type: ndcg_at_5
value: 48.208
- type: precision_at_1
value: 62
- type: precision_at_10
value: 47.8
- type: precision_at_100
value: 33.72
- type: precision_at_1000
value: 14.238000000000001
- type: precision_at_3
value: 53.333
- type: precision_at_5
value: 50.8
- type: recall_at_1
value: 0.148
- type: recall_at_10
value: 1.143
- type: recall_at_100
value: 7.219
- type: recall_at_1000
value: 28.294999999999998
- type: recall_at_3
value: 0.392
- type: recall_at_5
value: 0.628
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.22
- type: map_at_10
value: 6.635000000000001
- type: map_at_100
value: 10.873
- type: map_at_1000
value: 12.415
- type: map_at_3
value: 2.8240000000000003
- type: map_at_5
value: 4.111
- type: mrr_at_1
value: 14.285999999999998
- type: mrr_at_10
value: 31.857999999999997
- type: mrr_at_100
value: 33.049
- type: mrr_at_1000
value: 33.049
- type: mrr_at_3
value: 25.85
- type: mrr_at_5
value: 29.218
- type: ndcg_at_1
value: 12.245000000000001
- type: ndcg_at_10
value: 18.618000000000002
- type: ndcg_at_100
value: 28.488000000000003
- type: ndcg_at_1000
value: 41.208
- type: ndcg_at_3
value: 15.045
- type: ndcg_at_5
value: 16.359
- type: precision_at_1
value: 14.285999999999998
- type: precision_at_10
value: 19.796
- type: precision_at_100
value: 6.5920000000000005
- type: precision_at_1000
value: 1.471
- type: precision_at_3
value: 18.367
- type: precision_at_5
value: 18.776
- type: recall_at_1
value: 1.22
- type: recall_at_10
value: 13.763
- type: recall_at_100
value: 40.107
- type: recall_at_1000
value: 79.06800000000001
- type: recall_at_3
value: 4.2540000000000004
- type: recall_at_5
value: 7.142999999999999
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 71.82600000000001
- type: ap
value: 14.59656193783295
- type: f1
value: 55.237720537754875
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 55.387662705149964
- type: f1
value: 55.62292803889264
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 33.53590896395144
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 81.57000655659535
- type: cos_sim_ap
value: 57.187256107173354
- type: cos_sim_f1
value: 54.94480738905159
- type: cos_sim_precision
value: 47.93632075471698
- type: cos_sim_recall
value: 64.35356200527704
- type: dot_accuracy
value: 81.57000655659535
- type: dot_ap
value: 57.187234074371496
- type: dot_f1
value: 54.94480738905159
- type: dot_precision
value: 47.93632075471698
- type: dot_recall
value: 64.35356200527704
- type: euclidean_accuracy
value: 81.57000655659535
- type: euclidean_ap
value: 57.18724422350816
- type: euclidean_f1
value: 54.94480738905159
- type: euclidean_precision
value: 47.93632075471698
- type: euclidean_recall
value: 64.35356200527704
- type: manhattan_accuracy
value: 81.71902008702389
- type: manhattan_ap
value: 57.51605309414705
- type: manhattan_f1
value: 55.16339869281046
- type: manhattan_precision
value: 50.18378378378379
- type: manhattan_recall
value: 61.24010554089709
- type: max_accuracy
value: 81.71902008702389
- type: max_ap
value: 57.51605309414705
- type: max_f1
value: 55.16339869281046
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.09977878682035
- type: cos_sim_ap
value: 81.948747937846
- type: cos_sim_f1
value: 74.04089724292375
- type: cos_sim_precision
value: 70.7599466704091
- type: cos_sim_recall
value: 77.64089929165382
- type: dot_accuracy
value: 87.09977878682035
- type: dot_ap
value: 81.94874861792225
- type: dot_f1
value: 74.04089724292375
- type: dot_precision
value: 70.7599466704091
- type: dot_recall
value: 77.64089929165382
- type: euclidean_accuracy
value: 87.09977878682035
- type: euclidean_ap
value: 81.94875280390386
- type: euclidean_f1
value: 74.04089724292375
- type: euclidean_precision
value: 70.7599466704091
- type: euclidean_recall
value: 77.64089929165382
- type: manhattan_accuracy
value: 87.19292117825125
- type: manhattan_ap
value: 82.13752985145429
- type: manhattan_f1
value: 74.36426623424485
- type: manhattan_precision
value: 71.32051463311183
- type: manhattan_recall
value: 77.6793963658762
- type: max_accuracy
value: 87.19292117825125
- type: max_ap
value: 82.13752985145429
- type: max_f1
value: 74.36426623424485