metadata
tags:
- mteb
model-index:
- name: llama3_STSprompt_wordPCA
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 71.86567164179105
- type: ap
value: 35.44517238205241
- type: f1
value: 66.24481759245187
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 66.29775
- type: ap
value: 61.74437002242633
- type: f1
value: 65.67237033036794
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 33.742
- type: f1
value: 33.167768787949555
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 16.999
- type: map_at_10
value: 27.495000000000005
- type: map_at_100
value: 28.529
- type: map_at_1000
value: 28.593000000000004
- type: map_at_3
value: 24.169999999999998
- type: map_at_5
value: 26.005
- type: mrr_at_1
value: 17.639
- type: mrr_at_10
value: 27.712999999999997
- type: mrr_at_100
value: 28.754
- type: mrr_at_1000
value: 28.816999999999997
- type: mrr_at_3
value: 24.36
- type: mrr_at_5
value: 26.206000000000003
- type: ndcg_at_1
value: 16.999
- type: ndcg_at_10
value: 33.558
- type: ndcg_at_100
value: 38.917
- type: ndcg_at_1000
value: 40.755
- type: ndcg_at_3
value: 26.595999999999997
- type: ndcg_at_5
value: 29.935000000000002
- type: precision_at_1
value: 16.999
- type: precision_at_10
value: 5.306
- type: precision_at_100
value: 0.788
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 11.214
- type: precision_at_5
value: 8.364
- type: recall_at_1
value: 16.999
- type: recall_at_10
value: 53.05800000000001
- type: recall_at_100
value: 78.805
- type: recall_at_1000
value: 93.599
- type: recall_at_3
value: 33.642
- type: recall_at_5
value: 41.821000000000005
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 32.752423671997846
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 23.257964292209095
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 52.854790288659245
- type: mrr
value: 66.91795277667853
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 66.3620579957415
- type: cos_sim_spearman
value: 70.07810280120809
- type: euclidean_pearson
value: 67.02827963744735
- type: euclidean_spearman
value: 70.07810280120809
- type: manhattan_pearson
value: 67.75729071048507
- type: manhattan_spearman
value: 70.19617778078323
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 68.60714285714286
- type: f1
value: 67.64298065771641
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 31.698453903127977
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 21.36725660061154
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 20.275000000000002
- type: map_at_10
value: 27.144000000000002
- type: map_at_100
value: 28.281
- type: map_at_1000
value: 28.421999999999997
- type: map_at_3
value: 24.789
- type: map_at_5
value: 26.201
- type: mrr_at_1
value: 25.607999999999997
- type: mrr_at_10
value: 32.403999999999996
- type: mrr_at_100
value: 33.268
- type: mrr_at_1000
value: 33.337
- type: mrr_at_3
value: 30.329
- type: mrr_at_5
value: 31.637999999999998
- type: ndcg_at_1
value: 25.607999999999997
- type: ndcg_at_10
value: 31.81
- type: ndcg_at_100
value: 37.085
- type: ndcg_at_1000
value: 40.134
- type: ndcg_at_3
value: 28.421999999999997
- type: ndcg_at_5
value: 30.086000000000002
- type: precision_at_1
value: 25.607999999999997
- type: precision_at_10
value: 6.152
- type: precision_at_100
value: 1.114
- type: precision_at_1000
value: 0.169
- type: precision_at_3
value: 13.925
- type: precision_at_5
value: 9.986
- type: recall_at_1
value: 20.275000000000002
- type: recall_at_10
value: 39.7
- type: recall_at_100
value: 63.775999999999996
- type: recall_at_1000
value: 84.882
- type: recall_at_3
value: 29.265
- type: recall_at_5
value: 34.339999999999996
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 17.747
- type: map_at_10
value: 24.144
- type: map_at_100
value: 25.080999999999996
- type: map_at_1000
value: 25.186999999999998
- type: map_at_3
value: 22.038
- type: map_at_5
value: 23.205000000000002
- type: mrr_at_1
value: 22.803
- type: mrr_at_10
value: 28.814
- type: mrr_at_100
value: 29.599999999999998
- type: mrr_at_1000
value: 29.663
- type: mrr_at_3
value: 26.868
- type: mrr_at_5
value: 27.961000000000002
- type: ndcg_at_1
value: 22.803
- type: ndcg_at_10
value: 28.378999999999998
- type: ndcg_at_100
value: 32.64
- type: ndcg_at_1000
value: 35.169
- type: ndcg_at_3
value: 24.941
- type: ndcg_at_5
value: 26.471
- type: precision_at_1
value: 22.803
- type: precision_at_10
value: 5.427
- type: precision_at_100
value: 0.936
- type: precision_at_1000
value: 0.13799999999999998
- type: precision_at_3
value: 11.996
- type: precision_at_5
value: 8.599
- type: recall_at_1
value: 17.747
- type: recall_at_10
value: 36.197
- type: recall_at_100
value: 54.949000000000005
- type: recall_at_1000
value: 72.217
- type: recall_at_3
value: 26.383000000000003
- type: recall_at_5
value: 30.596
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 25.182
- type: map_at_10
value: 33.206
- type: map_at_100
value: 34.247
- type: map_at_1000
value: 34.342
- type: map_at_3
value: 31.070999999999998
- type: map_at_5
value: 32.223
- type: mrr_at_1
value: 29.592000000000002
- type: mrr_at_10
value: 36.665
- type: mrr_at_100
value: 37.543
- type: mrr_at_1000
value: 37.6
- type: mrr_at_3
value: 34.629
- type: mrr_at_5
value: 35.739
- type: ndcg_at_1
value: 29.592000000000002
- type: ndcg_at_10
value: 37.7
- type: ndcg_at_100
value: 42.585
- type: ndcg_at_1000
value: 44.738
- type: ndcg_at_3
value: 33.703
- type: ndcg_at_5
value: 35.510999999999996
- type: precision_at_1
value: 29.592000000000002
- type: precision_at_10
value: 6.038
- type: precision_at_100
value: 0.9249999999999999
- type: precision_at_1000
value: 0.11800000000000001
- type: precision_at_3
value: 15.046999999999999
- type: precision_at_5
value: 10.257
- type: recall_at_1
value: 25.182
- type: recall_at_10
value: 48.099
- type: recall_at_100
value: 69.95700000000001
- type: recall_at_1000
value: 85.47200000000001
- type: recall_at_3
value: 37.076
- type: recall_at_5
value: 41.660000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 10.226
- type: map_at_10
value: 14.316
- type: map_at_100
value: 15.119
- type: map_at_1000
value: 15.229999999999999
- type: map_at_3
value: 12.924
- type: map_at_5
value: 13.605999999999998
- type: mrr_at_1
value: 11.411999999999999
- type: mrr_at_10
value: 15.567
- type: mrr_at_100
value: 16.378999999999998
- type: mrr_at_1000
value: 16.479
- type: mrr_at_3
value: 14.181
- type: mrr_at_5
value: 14.847
- type: ndcg_at_1
value: 11.411999999999999
- type: ndcg_at_10
value: 16.952
- type: ndcg_at_100
value: 21.316
- type: ndcg_at_1000
value: 24.55
- type: ndcg_at_3
value: 14.099
- type: ndcg_at_5
value: 15.254000000000001
- type: precision_at_1
value: 11.411999999999999
- type: precision_at_10
value: 2.757
- type: precision_at_100
value: 0.52
- type: precision_at_1000
value: 0.08499999999999999
- type: precision_at_3
value: 6.064
- type: precision_at_5
value: 4.3389999999999995
- type: recall_at_1
value: 10.226
- type: recall_at_10
value: 24.05
- type: recall_at_100
value: 44.985
- type: recall_at_1000
value: 69.978
- type: recall_at_3
value: 16.224
- type: recall_at_5
value: 18.89
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 6.329999999999999
- type: map_at_10
value: 9.593
- type: map_at_100
value: 10.39
- type: map_at_1000
value: 10.498000000000001
- type: map_at_3
value: 8.276
- type: map_at_5
value: 8.892
- type: mrr_at_1
value: 8.085
- type: mrr_at_10
value: 12.049
- type: mrr_at_100
value: 12.881
- type: mrr_at_1000
value: 12.97
- type: mrr_at_3
value: 10.468
- type: mrr_at_5
value: 11.277
- type: ndcg_at_1
value: 8.085
- type: ndcg_at_10
value: 12.238
- type: ndcg_at_100
value: 16.543
- type: ndcg_at_1000
value: 19.584
- type: ndcg_at_3
value: 9.503
- type: ndcg_at_5
value: 10.57
- type: precision_at_1
value: 8.085
- type: precision_at_10
value: 2.4379999999999997
- type: precision_at_100
value: 0.5369999999999999
- type: precision_at_1000
value: 0.092
- type: precision_at_3
value: 4.643
- type: precision_at_5
value: 3.557
- type: recall_at_1
value: 6.329999999999999
- type: recall_at_10
value: 18.126
- type: recall_at_100
value: 37.669000000000004
- type: recall_at_1000
value: 60.059
- type: recall_at_3
value: 10.613
- type: recall_at_5
value: 13.145999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 15.392
- type: map_at_10
value: 21.022
- type: map_at_100
value: 22.191
- type: map_at_1000
value: 22.325999999999997
- type: map_at_3
value: 18.916
- type: map_at_5
value: 20.207
- type: mrr_at_1
value: 19.442
- type: mrr_at_10
value: 25.308999999999997
- type: mrr_at_100
value: 26.301999999999996
- type: mrr_at_1000
value: 26.386
- type: mrr_at_3
value: 23.003
- type: mrr_at_5
value: 24.471
- type: ndcg_at_1
value: 19.442
- type: ndcg_at_10
value: 25.093
- type: ndcg_at_100
value: 30.796
- type: ndcg_at_1000
value: 34.001
- type: ndcg_at_3
value: 21.267
- type: ndcg_at_5
value: 23.296
- type: precision_at_1
value: 19.442
- type: precision_at_10
value: 4.755
- type: precision_at_100
value: 0.914
- type: precision_at_1000
value: 0.13799999999999998
- type: precision_at_3
value: 10.074
- type: precision_at_5
value: 7.5840000000000005
- type: recall_at_1
value: 15.392
- type: recall_at_10
value: 33.333
- type: recall_at_100
value: 58.333
- type: recall_at_1000
value: 80.989
- type: recall_at_3
value: 22.698
- type: recall_at_5
value: 27.877000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 12.144
- type: map_at_10
value: 17.264
- type: map_at_100
value: 18.368000000000002
- type: map_at_1000
value: 18.496000000000002
- type: map_at_3
value: 15.407000000000002
- type: map_at_5
value: 16.317
- type: mrr_at_1
value: 14.954
- type: mrr_at_10
value: 20.473
- type: mrr_at_100
value: 21.509
- type: mrr_at_1000
value: 21.595
- type: mrr_at_3
value: 18.721
- type: mrr_at_5
value: 19.622999999999998
- type: ndcg_at_1
value: 14.954
- type: ndcg_at_10
value: 20.825
- type: ndcg_at_100
value: 26.346000000000004
- type: ndcg_at_1000
value: 29.696
- type: ndcg_at_3
value: 17.455000000000002
- type: ndcg_at_5
value: 18.788
- type: precision_at_1
value: 14.954
- type: precision_at_10
value: 3.95
- type: precision_at_100
value: 0.8049999999999999
- type: precision_at_1000
value: 0.128
- type: precision_at_3
value: 8.408999999999999
- type: precision_at_5
value: 6.096
- type: recall_at_1
value: 12.144
- type: recall_at_10
value: 28.572999999999997
- type: recall_at_100
value: 52.85300000000001
- type: recall_at_1000
value: 76.93100000000001
- type: recall_at_3
value: 18.948
- type: recall_at_5
value: 22.521
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 13.331416666666668
- type: map_at_10
value: 18.174333333333333
- type: map_at_100
value: 19.092833333333335
- type: map_at_1000
value: 19.213083333333334
- type: map_at_3
value: 16.5355
- type: map_at_5
value: 17.383166666666668
- type: mrr_at_1
value: 16.21033333333333
- type: mrr_at_10
value: 21.16625
- type: mrr_at_100
value: 22.005083333333335
- type: mrr_at_1000
value: 22.091249999999995
- type: mrr_at_3
value: 19.51425
- type: mrr_at_5
value: 20.373916666666663
- type: ndcg_at_1
value: 16.21033333333333
- type: ndcg_at_10
value: 21.50541666666667
- type: ndcg_at_100
value: 26.111666666666665
- type: ndcg_at_1000
value: 29.20516666666666
- type: ndcg_at_3
value: 18.499333333333333
- type: ndcg_at_5
value: 19.757749999999998
- type: precision_at_1
value: 16.21033333333333
- type: precision_at_10
value: 3.890333333333333
- type: precision_at_100
value: 0.7356666666666667
- type: precision_at_1000
value: 0.11758333333333335
- type: precision_at_3
value: 8.611083333333335
- type: precision_at_5
value: 6.1665833333333335
- type: recall_at_1
value: 13.331416666666668
- type: recall_at_10
value: 28.629749999999998
- type: recall_at_100
value: 49.690250000000006
- type: recall_at_1000
value: 72.24116666666667
- type: recall_at_3
value: 20.055999999999997
- type: recall_at_5
value: 23.340416666666666
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 9.521
- type: map_at_10
value: 13.597999999999999
- type: map_at_100
value: 14.347999999999999
- type: map_at_1000
value: 14.441
- type: map_at_3
value: 12.036
- type: map_at_5
value: 12.831999999999999
- type: mrr_at_1
value: 11.196
- type: mrr_at_10
value: 15.598999999999998
- type: mrr_at_100
value: 16.331
- type: mrr_at_1000
value: 16.413
- type: mrr_at_3
value: 13.983
- type: mrr_at_5
value: 14.757000000000001
- type: ndcg_at_1
value: 11.196
- type: ndcg_at_10
value: 16.532
- type: ndcg_at_100
value: 20.524
- type: ndcg_at_1000
value: 23.299
- type: ndcg_at_3
value: 13.459
- type: ndcg_at_5
value: 14.731
- type: precision_at_1
value: 11.196
- type: precision_at_10
value: 2.991
- type: precision_at_100
value: 0.5479999999999999
- type: precision_at_1000
value: 0.087
- type: precision_at_3
value: 6.237
- type: precision_at_5
value: 4.601
- type: recall_at_1
value: 9.521
- type: recall_at_10
value: 23.776
- type: recall_at_100
value: 42.483
- type: recall_at_1000
value: 63.724000000000004
- type: recall_at_3
value: 15.040000000000001
- type: recall_at_5
value: 18.259
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 6.464
- type: map_at_10
value: 9.512
- type: map_at_100
value: 10.120999999999999
- type: map_at_1000
value: 10.237
- type: map_at_3
value: 8.465
- type: map_at_5
value: 9.001000000000001
- type: mrr_at_1
value: 8.259
- type: mrr_at_10
value: 11.695
- type: mrr_at_100
value: 12.315
- type: mrr_at_1000
value: 12.416
- type: mrr_at_3
value: 10.530000000000001
- type: mrr_at_5
value: 11.111
- type: ndcg_at_1
value: 8.259
- type: ndcg_at_10
value: 11.782
- type: ndcg_at_100
value: 15.139
- type: ndcg_at_1000
value: 18.512999999999998
- type: ndcg_at_3
value: 9.772
- type: ndcg_at_5
value: 10.607999999999999
- type: precision_at_1
value: 8.259
- type: precision_at_10
value: 2.257
- type: precision_at_100
value: 0.47000000000000003
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 4.714
- type: precision_at_5
value: 3.5029999999999997
- type: recall_at_1
value: 6.464
- type: recall_at_10
value: 16.604
- type: recall_at_100
value: 32.39
- type: recall_at_1000
value: 57.458
- type: recall_at_3
value: 10.883
- type: recall_at_5
value: 13.044
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 12.754999999999999
- type: map_at_10
value: 16.646
- type: map_at_100
value: 17.521
- type: map_at_1000
value: 17.630000000000003
- type: map_at_3
value: 15.598
- type: map_at_5
value: 16.125
- type: mrr_at_1
value: 15.392
- type: mrr_at_10
value: 19.578
- type: mrr_at_100
value: 20.413
- type: mrr_at_1000
value: 20.512
- type: mrr_at_3
value: 18.377
- type: mrr_at_5
value: 18.945999999999998
- type: ndcg_at_1
value: 15.392
- type: ndcg_at_10
value: 19.326
- type: ndcg_at_100
value: 23.862
- type: ndcg_at_1000
value: 26.980999999999998
- type: ndcg_at_3
value: 17.286
- type: ndcg_at_5
value: 18.058
- type: precision_at_1
value: 15.392
- type: precision_at_10
value: 3.1530000000000005
- type: precision_at_100
value: 0.599
- type: precision_at_1000
value: 0.096
- type: precision_at_3
value: 7.743
- type: precision_at_5
value: 5.242999999999999
- type: recall_at_1
value: 12.754999999999999
- type: recall_at_10
value: 24.809
- type: recall_at_100
value: 45.554
- type: recall_at_1000
value: 68.655
- type: recall_at_3
value: 18.872
- type: recall_at_5
value: 21.027
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 15.007000000000001
- type: map_at_10
value: 19.471
- type: map_at_100
value: 20.557
- type: map_at_1000
value: 20.748
- type: map_at_3
value: 18.055
- type: map_at_5
value: 18.603
- type: mrr_at_1
value: 17.984
- type: mrr_at_10
value: 22.578
- type: mrr_at_100
value: 23.549
- type: mrr_at_1000
value: 23.648
- type: mrr_at_3
value: 21.343999999999998
- type: mrr_at_5
value: 21.779
- type: ndcg_at_1
value: 17.984
- type: ndcg_at_10
value: 22.803
- type: ndcg_at_100
value: 27.868
- type: ndcg_at_1000
value: 31.713
- type: ndcg_at_3
value: 20.437
- type: ndcg_at_5
value: 21.113
- type: precision_at_1
value: 17.984
- type: precision_at_10
value: 4.289
- type: precision_at_100
value: 0.972
- type: precision_at_1000
value: 0.183
- type: precision_at_3
value: 9.552
- type: precision_at_5
value: 6.7589999999999995
- type: recall_at_1
value: 15.007000000000001
- type: recall_at_10
value: 28.953
- type: recall_at_100
value: 52.691
- type: recall_at_1000
value: 79.045
- type: recall_at_3
value: 21.632
- type: recall_at_5
value: 23.432
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 8.934000000000001
- type: map_at_10
value: 12.176
- type: map_at_100
value: 12.889999999999999
- type: map_at_1000
value: 13
- type: map_at_3
value: 10.850999999999999
- type: map_at_5
value: 11.386000000000001
- type: mrr_at_1
value: 9.797
- type: mrr_at_10
value: 13.264000000000001
- type: mrr_at_100
value: 13.971
- type: mrr_at_1000
value: 14.076
- type: mrr_at_3
value: 11.738
- type: mrr_at_5
value: 12.338000000000001
- type: ndcg_at_1
value: 9.797
- type: ndcg_at_10
value: 14.625
- type: ndcg_at_100
value: 18.636
- type: ndcg_at_1000
value: 22.084
- type: ndcg_at_3
value: 11.648
- type: ndcg_at_5
value: 12.607
- type: precision_at_1
value: 9.797
- type: precision_at_10
value: 2.477
- type: precision_at_100
value: 0.488
- type: precision_at_1000
value: 0.086
- type: precision_at_3
value: 4.929
- type: precision_at_5
value: 3.4750000000000005
- type: recall_at_1
value: 8.934000000000001
- type: recall_at_10
value: 21.337
- type: recall_at_100
value: 40.643
- type: recall_at_1000
value: 67.484
- type: recall_at_3
value: 13.038
- type: recall_at_5
value: 15.293000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 6.619999999999999
- type: map_at_10
value: 12.036
- type: map_at_100
value: 13.524
- type: map_at_1000
value: 13.706
- type: map_at_3
value: 9.885
- type: map_at_5
value: 11.044
- type: mrr_at_1
value: 15.440000000000001
- type: mrr_at_10
value: 24.657999999999998
- type: mrr_at_100
value: 25.714
- type: mrr_at_1000
value: 25.775
- type: mrr_at_3
value: 21.477
- type: mrr_at_5
value: 23.193
- type: ndcg_at_1
value: 15.440000000000001
- type: ndcg_at_10
value: 18.071
- type: ndcg_at_100
value: 24.747
- type: ndcg_at_1000
value: 28.285
- type: ndcg_at_3
value: 14.129
- type: ndcg_at_5
value: 15.620000000000001
- type: precision_at_1
value: 15.440000000000001
- type: precision_at_10
value: 5.961
- type: precision_at_100
value: 1.304
- type: precision_at_1000
value: 0.19499999999999998
- type: precision_at_3
value: 10.879
- type: precision_at_5
value: 8.704
- type: recall_at_1
value: 6.619999999999999
- type: recall_at_10
value: 22.797
- type: recall_at_100
value: 46.646
- type: recall_at_1000
value: 66.61500000000001
- type: recall_at_3
value: 13.358
- type: recall_at_5
value: 17.336
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 3.258
- type: map_at_10
value: 7.720000000000001
- type: map_at_100
value: 10.972
- type: map_at_1000
value: 11.849
- type: map_at_3
value: 5.305
- type: map_at_5
value: 6.401999999999999
- type: mrr_at_1
value: 37
- type: mrr_at_10
value: 45.73
- type: mrr_at_100
value: 46.472
- type: mrr_at_1000
value: 46.516000000000005
- type: mrr_at_3
value: 42.5
- type: mrr_at_5
value: 44.462
- type: ndcg_at_1
value: 25.374999999999996
- type: ndcg_at_10
value: 19.869999999999997
- type: ndcg_at_100
value: 23.191
- type: ndcg_at_1000
value: 30.17
- type: ndcg_at_3
value: 21.565
- type: ndcg_at_5
value: 20.622
- type: precision_at_1
value: 37
- type: precision_at_10
value: 18.05
- type: precision_at_100
value: 5.865
- type: precision_at_1000
value: 1.256
- type: precision_at_3
value: 26.417
- type: precision_at_5
value: 22.6
- type: recall_at_1
value: 3.258
- type: recall_at_10
value: 12.098
- type: recall_at_100
value: 30.075000000000003
- type: recall_at_1000
value: 54.348
- type: recall_at_3
value: 6.3740000000000006
- type: recall_at_5
value: 8.75
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 39.775
- type: f1
value: 37.253467952273716
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 15.539
- type: map_at_10
value: 23.506
- type: map_at_100
value: 24.433
- type: map_at_1000
value: 24.512999999999998
- type: map_at_3
value: 20.944
- type: map_at_5
value: 22.427
- type: mrr_at_1
value: 16.607
- type: mrr_at_10
value: 24.911
- type: mrr_at_100
value: 25.835
- type: mrr_at_1000
value: 25.903
- type: mrr_at_3
value: 22.235
- type: mrr_at_5
value: 23.782
- type: ndcg_at_1
value: 16.607
- type: ndcg_at_10
value: 28.327999999999996
- type: ndcg_at_100
value: 33.239000000000004
- type: ndcg_at_1000
value: 35.447
- type: ndcg_at_3
value: 23.044
- type: ndcg_at_5
value: 25.711000000000002
- type: precision_at_1
value: 16.607
- type: precision_at_10
value: 4.584
- type: precision_at_100
value: 0.729
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 9.981
- type: precision_at_5
value: 7.396
- type: recall_at_1
value: 15.539
- type: recall_at_10
value: 42.138999999999996
- type: recall_at_100
value: 65.42999999999999
- type: recall_at_1000
value: 82.536
- type: recall_at_3
value: 27.809
- type: recall_at_5
value: 34.217999999999996
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 5.7860000000000005
- type: map_at_10
value: 9.501
- type: map_at_100
value: 10.509
- type: map_at_1000
value: 10.685
- type: map_at_3
value: 7.879
- type: map_at_5
value: 8.703
- type: mrr_at_1
value: 11.728
- type: mrr_at_10
value: 17.121
- type: mrr_at_100
value: 18.062
- type: mrr_at_1000
value: 18.15
- type: mrr_at_3
value: 14.969
- type: mrr_at_5
value: 16.219
- type: ndcg_at_1
value: 11.728
- type: ndcg_at_10
value: 13.520999999999999
- type: ndcg_at_100
value: 18.794
- type: ndcg_at_1000
value: 23.032
- type: ndcg_at_3
value: 10.814
- type: ndcg_at_5
value: 11.884
- type: precision_at_1
value: 11.728
- type: precision_at_10
value: 4.074
- type: precision_at_100
value: 0.9289999999999999
- type: precision_at_1000
value: 0.165
- type: precision_at_3
value: 7.305000000000001
- type: precision_at_5
value: 5.8020000000000005
- type: recall_at_1
value: 5.7860000000000005
- type: recall_at_10
value: 17.765
- type: recall_at_100
value: 39.159
- type: recall_at_1000
value: 66.101
- type: recall_at_3
value: 10.113
- type: recall_at_5
value: 13.379
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 16.232
- type: map_at_10
value: 22.717000000000002
- type: map_at_100
value: 23.508000000000003
- type: map_at_1000
value: 23.604
- type: map_at_3
value: 21.029999999999998
- type: map_at_5
value: 21.938
- type: mrr_at_1
value: 32.478
- type: mrr_at_10
value: 39.043
- type: mrr_at_100
value: 39.711999999999996
- type: mrr_at_1000
value: 39.765
- type: mrr_at_3
value: 37.317
- type: mrr_at_5
value: 38.257999999999996
- type: ndcg_at_1
value: 32.464999999999996
- type: ndcg_at_10
value: 29.037000000000003
- type: ndcg_at_100
value: 32.756
- type: ndcg_at_1000
value: 35.086
- type: ndcg_at_3
value: 25.779000000000003
- type: ndcg_at_5
value: 27.303
- type: precision_at_1
value: 32.464999999999996
- type: precision_at_10
value: 6.363
- type: precision_at_100
value: 0.9339999999999999
- type: precision_at_1000
value: 0.124
- type: precision_at_3
value: 16.291
- type: precision_at_5
value: 10.982
- type: recall_at_1
value: 16.232
- type: recall_at_10
value: 31.816
- type: recall_at_100
value: 46.691
- type: recall_at_1000
value: 62.235
- type: recall_at_3
value: 24.436
- type: recall_at_5
value: 27.454
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 63.2676
- type: ap
value: 58.73564850695608
- type: f1
value: 62.72506969821588
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 5.532
- type: map_at_10
value: 9.656
- type: map_at_100
value: 10.525
- type: map_at_1000
value: 10.625
- type: map_at_3
value: 8.062999999999999
- type: map_at_5
value: 8.892999999999999
- type: mrr_at_1
value: 5.659
- type: mrr_at_10
value: 9.881
- type: mrr_at_100
value: 10.764
- type: mrr_at_1000
value: 10.86
- type: mrr_at_3
value: 8.25
- type: mrr_at_5
value: 9.102
- type: ndcg_at_1
value: 5.659
- type: ndcg_at_10
value: 12.341000000000001
- type: ndcg_at_100
value: 17.154
- type: ndcg_at_1000
value: 20.154
- type: ndcg_at_3
value: 8.968
- type: ndcg_at_5
value: 10.469000000000001
- type: precision_at_1
value: 5.659
- type: precision_at_10
value: 2.153
- type: precision_at_100
value: 0.466
- type: precision_at_1000
value: 0.073
- type: precision_at_3
value: 3.916
- type: precision_at_5
value: 3.1029999999999998
- type: recall_at_1
value: 5.532
- type: recall_at_10
value: 20.788
- type: recall_at_100
value: 44.419
- type: recall_at_1000
value: 68.47999999999999
- type: recall_at_3
value: 11.405999999999999
- type: recall_at_5
value: 15.014
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 89.68536251709985
- type: f1
value: 88.79185391392097
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 60.47423620611034
- type: f1
value: 42.681111996933936
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 61.62743779421655
- type: f1
value: 59.44525066841824
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 69.18964357767317
- type: f1
value: 67.75095808014
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 27.261678947620393
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 24.12573884860151
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 28.38819156715654
- type: mrr
value: 28.876813734506364
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 5.303
- type: map_at_10
value: 9.311
- type: map_at_100
value: 11.889
- type: map_at_1000
value: 13.279
- type: map_at_3
value: 7.4270000000000005
- type: map_at_5
value: 8.299
- type: mrr_at_1
value: 35.913000000000004
- type: mrr_at_10
value: 46.418
- type: mrr_at_100
value: 47.024
- type: mrr_at_1000
value: 47.073
- type: mrr_at_3
value: 44.013999999999996
- type: mrr_at_5
value: 45.083
- type: ndcg_at_1
value: 34.52
- type: ndcg_at_10
value: 26.689
- type: ndcg_at_100
value: 26.064999999999998
- type: ndcg_at_1000
value: 35.589
- type: ndcg_at_3
value: 31.080999999999996
- type: ndcg_at_5
value: 28.872999999999998
- type: precision_at_1
value: 35.913000000000004
- type: precision_at_10
value: 19.040000000000003
- type: precision_at_100
value: 6.954000000000001
- type: precision_at_1000
value: 2.031
- type: precision_at_3
value: 28.688999999999997
- type: precision_at_5
value: 23.901
- type: recall_at_1
value: 5.303
- type: recall_at_10
value: 12.974
- type: recall_at_100
value: 28.157
- type: recall_at_1000
value: 62.261
- type: recall_at_3
value: 8.459999999999999
- type: recall_at_5
value: 10.128
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 9.881
- type: map_at_10
value: 16.489
- type: map_at_100
value: 17.548
- type: map_at_1000
value: 17.645
- type: map_at_3
value: 14.044
- type: map_at_5
value: 15.368
- type: mrr_at_1
value: 11.211
- type: mrr_at_10
value: 18.099
- type: mrr_at_100
value: 19.096
- type: mrr_at_1000
value: 19.179
- type: mrr_at_3
value: 15.648000000000001
- type: mrr_at_5
value: 17.02
- type: ndcg_at_1
value: 11.211
- type: ndcg_at_10
value: 20.747
- type: ndcg_at_100
value: 26.075
- type: ndcg_at_1000
value: 28.662
- type: ndcg_at_3
value: 15.756999999999998
- type: ndcg_at_5
value: 18.133
- type: precision_at_1
value: 11.211
- type: precision_at_10
value: 3.83
- type: precision_at_100
value: 0.6859999999999999
- type: precision_at_1000
value: 0.093
- type: precision_at_3
value: 7.367999999999999
- type: precision_at_5
value: 5.771
- type: recall_at_1
value: 9.881
- type: recall_at_10
value: 32.363
- type: recall_at_100
value: 56.948
- type: recall_at_1000
value: 76.753
- type: recall_at_3
value: 19.131
- type: recall_at_5
value: 24.684
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 60.333999999999996
- type: map_at_10
value: 72.433
- type: map_at_100
value: 73.179
- type: map_at_1000
value: 73.217
- type: map_at_3
value: 69.56
- type: map_at_5
value: 71.321
- type: mrr_at_1
value: 69.5
- type: mrr_at_10
value: 77.039
- type: mrr_at_100
value: 77.31400000000001
- type: mrr_at_1000
value: 77.323
- type: mrr_at_3
value: 75.5
- type: mrr_at_5
value: 76.493
- type: ndcg_at_1
value: 69.58
- type: ndcg_at_10
value: 77.208
- type: ndcg_at_100
value: 79.445
- type: ndcg_at_1000
value: 79.98100000000001
- type: ndcg_at_3
value: 73.585
- type: ndcg_at_5
value: 75.48
- type: precision_at_1
value: 69.58
- type: precision_at_10
value: 11.616999999999999
- type: precision_at_100
value: 1.397
- type: precision_at_1000
value: 0.15
- type: precision_at_3
value: 31.817
- type: precision_at_5
value: 21.074
- type: recall_at_1
value: 60.333999999999996
- type: recall_at_10
value: 86.349
- type: recall_at_100
value: 95.025
- type: recall_at_1000
value: 98.29
- type: recall_at_3
value: 75.91499999999999
- type: recall_at_5
value: 81.182
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 25.89330417520166
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 35.47472439634197
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.4379999999999997
- type: map_at_10
value: 6.553000000000001
- type: map_at_100
value: 7.898
- type: map_at_1000
value: 8.142000000000001
- type: map_at_3
value: 4.682
- type: map_at_5
value: 5.62
- type: mrr_at_1
value: 12
- type: mrr_at_10
value: 20.631
- type: mrr_at_100
value: 21.834
- type: mrr_at_1000
value: 21.935
- type: mrr_at_3
value: 17.817
- type: mrr_at_5
value: 19.477
- type: ndcg_at_1
value: 12
- type: ndcg_at_10
value: 11.854000000000001
- type: ndcg_at_100
value: 18.048000000000002
- type: ndcg_at_1000
value: 23.244999999999997
- type: ndcg_at_3
value: 10.865
- type: ndcg_at_5
value: 9.699
- type: precision_at_1
value: 12
- type: precision_at_10
value: 6.35
- type: precision_at_100
value: 1.537
- type: precision_at_1000
value: 0.27999999999999997
- type: precision_at_3
value: 10.467
- type: precision_at_5
value: 8.82
- type: recall_at_1
value: 2.4379999999999997
- type: recall_at_10
value: 12.889999999999999
- type: recall_at_100
value: 31.272
- type: recall_at_1000
value: 56.83200000000001
- type: recall_at_3
value: 6.372999999999999
- type: recall_at_5
value: 8.943
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 74.60915562909248
- type: cos_sim_spearman
value: 65.49000650957157
- type: euclidean_pearson
value: 70.1700684443695
- type: euclidean_spearman
value: 65.4899957190204
- type: manhattan_pearson
value: 67.85541431977921
- type: manhattan_spearman
value: 64.7047707491316
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 72.60466030817162
- type: cos_sim_spearman
value: 66.56226716201341
- type: euclidean_pearson
value: 69.45460734110853
- type: euclidean_spearman
value: 66.56350168932688
- type: manhattan_pearson
value: 64.58382463812974
- type: manhattan_spearman
value: 63.34159521108897
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 71.13568380319647
- type: cos_sim_spearman
value: 72.07503695778388
- type: euclidean_pearson
value: 72.35421536816658
- type: euclidean_spearman
value: 72.07507481770585
- type: manhattan_pearson
value: 70.41274758896546
- type: manhattan_spearman
value: 69.91549531015315
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 68.81125447529332
- type: cos_sim_spearman
value: 67.99712816171936
- type: euclidean_pearson
value: 68.66215488899678
- type: euclidean_spearman
value: 67.9971184785134
- type: manhattan_pearson
value: 67.53466035323753
- type: manhattan_spearman
value: 67.18583918058982
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 76.28182368707374
- type: cos_sim_spearman
value: 77.69940987577804
- type: euclidean_pearson
value: 77.53646310718189
- type: euclidean_spearman
value: 77.69940643216601
- type: manhattan_pearson
value: 76.78213156277387
- type: manhattan_spearman
value: 76.86316540517423
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 62.0726077717635
- type: cos_sim_spearman
value: 65.98319186337503
- type: euclidean_pearson
value: 65.67598389197177
- type: euclidean_spearman
value: 65.9837431693805
- type: manhattan_pearson
value: 65.48878961096061
- type: manhattan_spearman
value: 65.66497181372006
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 77.12393911158544
- type: cos_sim_spearman
value: 79.41807979078037
- type: euclidean_pearson
value: 78.99684302370609
- type: euclidean_spearman
value: 79.41895659710345
- type: manhattan_pearson
value: 78.12406378720547
- type: manhattan_spearman
value: 78.40030554117344
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 38.27620893980747
- type: cos_sim_spearman
value: 52.39237713694356
- type: euclidean_pearson
value: 45.92209181781139
- type: euclidean_spearman
value: 52.39237713694356
- type: manhattan_pearson
value: 43.04874873424595
- type: manhattan_spearman
value: 49.321502859848856
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 68.63138120529958
- type: cos_sim_spearman
value: 67.5933878528282
- type: euclidean_pearson
value: 69.44664795794799
- type: euclidean_spearman
value: 67.59340633029616
- type: manhattan_pearson
value: 68.36628416501331
- type: manhattan_spearman
value: 66.87881145545586
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 70.55175992915854
- type: mrr
value: 90.46667384902678
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 35.75
- type: map_at_10
value: 45.054
- type: map_at_100
value: 46.208
- type: map_at_1000
value: 46.265
- type: map_at_3
value: 42.625
- type: map_at_5
value: 44.185
- type: mrr_at_1
value: 37.667
- type: mrr_at_10
value: 46.555
- type: mrr_at_100
value: 47.521
- type: mrr_at_1000
value: 47.571000000000005
- type: mrr_at_3
value: 44.278
- type: mrr_at_5
value: 45.778
- type: ndcg_at_1
value: 37.667
- type: ndcg_at_10
value: 49.854
- type: ndcg_at_100
value: 54.986999999999995
- type: ndcg_at_1000
value: 56.455999999999996
- type: ndcg_at_3
value: 45.084
- type: ndcg_at_5
value: 47.782000000000004
- type: precision_at_1
value: 37.667
- type: precision_at_10
value: 6.9
- type: precision_at_100
value: 0.98
- type: precision_at_1000
value: 0.11
- type: precision_at_3
value: 18
- type: precision_at_5
value: 12.333
- type: recall_at_1
value: 35.75
- type: recall_at_10
value: 63.306
- type: recall_at_100
value: 86.13300000000001
- type: recall_at_1000
value: 97.6
- type: recall_at_3
value: 50.556
- type: recall_at_5
value: 57.028
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.54554455445545
- type: cos_sim_ap
value: 81.03057853356
- type: cos_sim_f1
value: 74.78813559322035
- type: cos_sim_precision
value: 79.5045045045045
- type: cos_sim_recall
value: 70.6
- type: dot_accuracy
value: 99.54554455445545
- type: dot_ap
value: 81.03057853356
- type: dot_f1
value: 74.78813559322035
- type: dot_precision
value: 79.5045045045045
- type: dot_recall
value: 70.6
- type: euclidean_accuracy
value: 99.54554455445545
- type: euclidean_ap
value: 81.03057853356
- type: euclidean_f1
value: 74.78813559322035
- type: euclidean_precision
value: 79.5045045045045
- type: euclidean_recall
value: 70.6
- type: manhattan_accuracy
value: 99.53861386138614
- type: manhattan_ap
value: 81.55735590238187
- type: manhattan_f1
value: 74.7789911596464
- type: manhattan_precision
value: 77.89815817984832
- type: manhattan_recall
value: 71.89999999999999
- type: max_accuracy
value: 99.54554455445545
- type: max_ap
value: 81.55735590238187
- type: max_f1
value: 74.78813559322035
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 32.85426529220047
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 25.801245404544826
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 41.73333062572138
- type: mrr
value: 42.17854755538579
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.401104847347938
- type: cos_sim_spearman
value: 30.63067494754781
- type: dot_pearson
value: 30.401104842345617
- type: dot_spearman
value: 30.619796987282573
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.151
- type: map_at_10
value: 1.11
- type: map_at_100
value: 5.493
- type: map_at_1000
value: 12.9
- type: map_at_3
value: 0.42300000000000004
- type: map_at_5
value: 0.652
- type: mrr_at_1
value: 66
- type: mrr_at_10
value: 77.986
- type: mrr_at_100
value: 78.086
- type: mrr_at_1000
value: 78.086
- type: mrr_at_3
value: 76
- type: mrr_at_5
value: 77.5
- type: ndcg_at_1
value: 60
- type: ndcg_at_10
value: 54.611
- type: ndcg_at_100
value: 38.848
- type: ndcg_at_1000
value: 32.887
- type: ndcg_at_3
value: 60.123000000000005
- type: ndcg_at_5
value: 59.477000000000004
- type: precision_at_1
value: 66
- type: precision_at_10
value: 58.4
- type: precision_at_100
value: 40.52
- type: precision_at_1000
value: 15.518
- type: precision_at_3
value: 65.333
- type: precision_at_5
value: 64
- type: recall_at_1
value: 0.151
- type: recall_at_10
value: 1.365
- type: recall_at_100
value: 8.67
- type: recall_at_1000
value: 31.286
- type: recall_at_3
value: 0.479
- type: recall_at_5
value: 0.771
- 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: 4.533
- type: map_at_100
value: 8.429
- type: map_at_1000
value: 9.981
- type: map_at_3
value: 2.606
- type: map_at_5
value: 3.5159999999999996
- type: mrr_at_1
value: 22.448999999999998
- type: mrr_at_10
value: 32.958999999999996
- type: mrr_at_100
value: 34.754000000000005
- type: mrr_at_1000
value: 34.79
- type: mrr_at_3
value: 29.932
- type: mrr_at_5
value: 31.871
- type: ndcg_at_1
value: 20.408
- type: ndcg_at_10
value: 13.79
- type: ndcg_at_100
value: 25.476
- type: ndcg_at_1000
value: 38.714999999999996
- type: ndcg_at_3
value: 17.061999999999998
- type: ndcg_at_5
value: 15.52
- type: precision_at_1
value: 22.448999999999998
- type: precision_at_10
value: 12.653
- type: precision_at_100
value: 6.265
- type: precision_at_1000
value: 1.455
- type: precision_at_3
value: 17.687
- type: precision_at_5
value: 15.509999999999998
- type: recall_at_1
value: 1.22
- type: recall_at_10
value: 8.862
- type: recall_at_100
value: 38.118
- type: recall_at_1000
value: 79.078
- type: recall_at_3
value: 3.621
- type: recall_at_5
value: 5.6610000000000005
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 69.85280000000002
- type: ap
value: 12.628576580480205
- type: f1
value: 52.846767656927774
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 55.85738539898133
- type: f1
value: 56.08638204262546
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 29.18350429483415
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 82.88728616558384
- type: cos_sim_ap
value: 62.5610472971754
- type: cos_sim_f1
value: 59.31407094197792
- type: cos_sim_precision
value: 53.45046570702794
- type: cos_sim_recall
value: 66.62269129287598
- type: dot_accuracy
value: 82.88728616558384
- type: dot_ap
value: 62.5610472971754
- type: dot_f1
value: 59.31407094197792
- type: dot_precision
value: 53.45046570702794
- type: dot_recall
value: 66.62269129287598
- type: euclidean_accuracy
value: 82.88728616558384
- type: euclidean_ap
value: 62.5610472971754
- type: euclidean_f1
value: 59.31407094197792
- type: euclidean_precision
value: 53.45046570702794
- type: euclidean_recall
value: 66.62269129287598
- type: manhattan_accuracy
value: 83.26876080348096
- type: manhattan_ap
value: 63.94957813634585
- type: manhattan_f1
value: 60.783125227300296
- type: manhattan_precision
value: 56.22336846826643
- type: manhattan_recall
value: 66.14775725593668
- type: max_accuracy
value: 83.26876080348096
- type: max_ap
value: 63.94957813634585
- type: max_f1
value: 60.783125227300296
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 86.36822292079016
- type: cos_sim_ap
value: 79.73424609471161
- type: cos_sim_f1
value: 71.86706497386109
- type: cos_sim_precision
value: 69.77233178654292
- type: cos_sim_recall
value: 74.09146904835232
- type: dot_accuracy
value: 86.36822292079016
- type: dot_ap
value: 79.73424618447234
- type: dot_f1
value: 71.86706497386109
- type: dot_precision
value: 69.77233178654292
- type: dot_recall
value: 74.09146904835232
- type: euclidean_accuracy
value: 86.36822292079016
- type: euclidean_ap
value: 79.73424609471161
- type: euclidean_f1
value: 71.86706497386109
- type: euclidean_precision
value: 69.77233178654292
- type: euclidean_recall
value: 74.09146904835232
- type: manhattan_accuracy
value: 86.72138782163232
- type: manhattan_ap
value: 80.19743850847341
- type: manhattan_f1
value: 72.42654064560388
- type: manhattan_precision
value: 71.70779563806505
- type: manhattan_recall
value: 73.15983985217123
- type: max_accuracy
value: 86.72138782163232
- type: max_ap
value: 80.19743850847341
- type: max_f1
value: 72.42654064560388