metadata
tags:
- mteb
model-index:
- name: nomic_classification_500
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 71.80597014925372
- type: ap
value: 34.197330474755326
- type: f1
value: 65.6383323667309
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 65.1743
- type: ap
value: 60.20664078251553
- type: f1
value: 64.92146428468526
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 34.542
- type: f1
value: 34.03169070398656
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 21.407999999999998
- type: map_at_10
value: 35.25
- type: map_at_100
value: 36.434
- type: map_at_1000
value: 36.457
- type: map_at_3
value: 30.595
- type: map_at_5
value: 33.195
- type: mrr_at_1
value: 21.977
- type: mrr_at_10
value: 35.485
- type: mrr_at_100
value: 36.668
- type: mrr_at_1000
value: 36.691
- type: mrr_at_3
value: 30.797
- type: mrr_at_5
value: 33.442
- type: ndcg_at_1
value: 21.407999999999998
- type: ndcg_at_10
value: 43.329
- type: ndcg_at_100
value: 48.854
- type: ndcg_at_1000
value: 49.416
- type: ndcg_at_3
value: 33.639
- type: ndcg_at_5
value: 38.37
- type: precision_at_1
value: 21.407999999999998
- type: precision_at_10
value: 6.935
- type: precision_at_100
value: 0.947
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 14.154
- type: precision_at_5
value: 10.811
- type: recall_at_1
value: 21.407999999999998
- type: recall_at_10
value: 69.346
- type: recall_at_100
value: 94.666
- type: recall_at_1000
value: 99.004
- type: recall_at_3
value: 42.461
- type: recall_at_5
value: 54.054
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 34.30039585122896
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 24.222077798266923
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 53.467946212899555
- type: mrr
value: 67.98498439080156
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 81.72978740558128
- type: cos_sim_spearman
value: 79.8415782806684
- type: euclidean_pearson
value: 81.0407016686661
- type: euclidean_spearman
value: 79.8415782806684
- type: manhattan_pearson
value: 81.08496262274785
- type: manhattan_spearman
value: 79.91206181439438
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 73.08116883116882
- type: f1
value: 72.32145914983063
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 32.09909290830503
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 23.168951685127244
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 21.884999999999998
- type: map_at_10
value: 30.014000000000003
- type: map_at_100
value: 31.081999999999997
- type: map_at_1000
value: 31.236000000000004
- type: map_at_3
value: 27.551
- type: map_at_5
value: 29.092000000000002
- type: mrr_at_1
value: 27.611
- type: mrr_at_10
value: 35.61
- type: mrr_at_100
value: 36.455
- type: mrr_at_1000
value: 36.528
- type: mrr_at_3
value: 33.763
- type: mrr_at_5
value: 34.949999999999996
- type: ndcg_at_1
value: 27.611
- type: ndcg_at_10
value: 35.055
- type: ndcg_at_100
value: 39.918
- type: ndcg_at_1000
value: 43.02
- type: ndcg_at_3
value: 31.679000000000002
- type: ndcg_at_5
value: 33.406000000000006
- type: precision_at_1
value: 27.611
- type: precision_at_10
value: 6.694999999999999
- type: precision_at_100
value: 1.127
- type: precision_at_1000
value: 0.16999999999999998
- type: precision_at_3
value: 15.546
- type: precision_at_5
value: 11.302
- type: recall_at_1
value: 21.884999999999998
- type: recall_at_10
value: 44.011
- type: recall_at_100
value: 65.778
- type: recall_at_1000
value: 86.833
- type: recall_at_3
value: 33.465
- type: recall_at_5
value: 38.573
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 17.336
- type: map_at_10
value: 22.978
- type: map_at_100
value: 23.945
- type: map_at_1000
value: 24.071
- type: map_at_3
value: 21.052
- type: map_at_5
value: 22.152
- type: mrr_at_1
value: 21.911
- type: mrr_at_10
value: 27.319
- type: mrr_at_100
value: 28.147
- type: mrr_at_1000
value: 28.225
- type: mrr_at_3
value: 25.372
- type: mrr_at_5
value: 26.499
- type: ndcg_at_1
value: 21.911
- type: ndcg_at_10
value: 26.828999999999997
- type: ndcg_at_100
value: 31.185000000000002
- type: ndcg_at_1000
value: 34.08
- type: ndcg_at_3
value: 23.555
- type: ndcg_at_5
value: 25.097
- type: precision_at_1
value: 21.911
- type: precision_at_10
value: 4.949
- type: precision_at_100
value: 0.89
- type: precision_at_1000
value: 0.13899999999999998
- type: precision_at_3
value: 11.168
- type: precision_at_5
value: 8.102
- type: recall_at_1
value: 17.336
- type: recall_at_10
value: 33.971000000000004
- type: recall_at_100
value: 53.03099999999999
- type: recall_at_1000
value: 72.611
- type: recall_at_3
value: 24.695
- type: recall_at_5
value: 28.705000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 26.566000000000003
- type: map_at_10
value: 34.985
- type: map_at_100
value: 36.131
- type: map_at_1000
value: 36.223
- type: map_at_3
value: 32.503
- type: map_at_5
value: 33.953
- type: mrr_at_1
value: 30.784
- type: mrr_at_10
value: 38.277
- type: mrr_at_100
value: 39.174
- type: mrr_at_1000
value: 39.232
- type: mrr_at_3
value: 35.946
- type: mrr_at_5
value: 37.309
- type: ndcg_at_1
value: 30.784
- type: ndcg_at_10
value: 39.690999999999995
- type: ndcg_at_100
value: 45.016
- type: ndcg_at_1000
value: 47.148
- type: ndcg_at_3
value: 35.091
- type: ndcg_at_5
value: 37.408
- type: precision_at_1
value: 30.784
- type: precision_at_10
value: 6.433
- type: precision_at_100
value: 0.9939999999999999
- type: precision_at_1000
value: 0.126
- type: precision_at_3
value: 15.549
- type: precision_at_5
value: 10.884
- type: recall_at_1
value: 26.566000000000003
- type: recall_at_10
value: 50.70400000000001
- type: recall_at_100
value: 74.661
- type: recall_at_1000
value: 90.077
- type: recall_at_3
value: 38.284
- type: recall_at_5
value: 44.041999999999994
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 12.994
- type: map_at_10
value: 17.112
- type: map_at_100
value: 17.893
- type: map_at_1000
value: 18.004
- type: map_at_3
value: 15.662
- type: map_at_5
value: 16.483
- type: mrr_at_1
value: 14.237
- type: mrr_at_10
value: 18.378
- type: mrr_at_100
value: 19.161
- type: mrr_at_1000
value: 19.266
- type: mrr_at_3
value: 16.911
- type: mrr_at_5
value: 17.736
- type: ndcg_at_1
value: 14.237
- type: ndcg_at_10
value: 19.793
- type: ndcg_at_100
value: 24.13
- type: ndcg_at_1000
value: 27.450999999999997
- type: ndcg_at_3
value: 16.845
- type: ndcg_at_5
value: 18.291
- type: precision_at_1
value: 14.237
- type: precision_at_10
value: 3.04
- type: precision_at_100
value: 0.5539999999999999
- type: precision_at_1000
value: 0.089
- type: precision_at_3
value: 7.005999999999999
- type: precision_at_5
value: 5.04
- type: recall_at_1
value: 12.994
- type: recall_at_10
value: 26.980999999999998
- type: recall_at_100
value: 47.827
- type: recall_at_1000
value: 73.694
- type: recall_at_3
value: 19.002
- type: recall_at_5
value: 22.429
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 6.497999999999999
- type: map_at_10
value: 9.829
- type: map_at_100
value: 10.552
- type: map_at_1000
value: 10.682
- type: map_at_3
value: 8.638
- type: map_at_5
value: 9.197
- type: mrr_at_1
value: 8.581999999999999
- type: mrr_at_10
value: 12.296
- type: mrr_at_100
value: 13.036
- type: mrr_at_1000
value: 13.138
- type: mrr_at_3
value: 10.821
- type: mrr_at_5
value: 11.524
- type: ndcg_at_1
value: 8.581999999999999
- type: ndcg_at_10
value: 12.422
- type: ndcg_at_100
value: 16.357
- type: ndcg_at_1000
value: 20.03
- type: ndcg_at_3
value: 9.956
- type: ndcg_at_5
value: 10.891
- type: precision_at_1
value: 8.581999999999999
- type: precision_at_10
value: 2.4250000000000003
- type: precision_at_100
value: 0.515
- type: precision_at_1000
value: 0.096
- type: precision_at_3
value: 4.809
- type: precision_at_5
value: 3.557
- type: recall_at_1
value: 6.497999999999999
- type: recall_at_10
value: 18.165
- type: recall_at_100
value: 36.083
- type: recall_at_1000
value: 63.233
- type: recall_at_3
value: 11.204
- type: recall_at_5
value: 13.572000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 17.136000000000003
- type: map_at_10
value: 23.504
- type: map_at_100
value: 24.731
- type: map_at_1000
value: 24.866
- type: map_at_3
value: 21.485000000000003
- type: map_at_5
value: 22.591
- type: mrr_at_1
value: 21.654999999999998
- type: mrr_at_10
value: 28.249000000000002
- type: mrr_at_100
value: 29.243999999999996
- type: mrr_at_1000
value: 29.325000000000003
- type: mrr_at_3
value: 26.162999999999997
- type: mrr_at_5
value: 27.332
- type: ndcg_at_1
value: 21.654999999999998
- type: ndcg_at_10
value: 27.761000000000003
- type: ndcg_at_100
value: 33.535
- type: ndcg_at_1000
value: 36.606
- type: ndcg_at_3
value: 24.274
- type: ndcg_at_5
value: 25.884
- type: precision_at_1
value: 21.654999999999998
- type: precision_at_10
value: 5.043
- type: precision_at_100
value: 0.96
- type: precision_at_1000
value: 0.14200000000000002
- type: precision_at_3
value: 11.421000000000001
- type: precision_at_5
value: 8.296000000000001
- type: recall_at_1
value: 17.136000000000003
- type: recall_at_10
value: 36.083
- type: recall_at_100
value: 61.148
- type: recall_at_1000
value: 82.41199999999999
- type: recall_at_3
value: 26.149
- type: recall_at_5
value: 30.302
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 12.591
- type: map_at_10
value: 18.438
- type: map_at_100
value: 19.457
- type: map_at_1000
value: 19.6
- type: map_at_3
value: 16.506
- type: map_at_5
value: 17.604
- type: mrr_at_1
value: 15.867999999999999
- type: mrr_at_10
value: 21.933
- type: mrr_at_100
value: 22.829
- type: mrr_at_1000
value: 22.926
- type: mrr_at_3
value: 20.034
- type: mrr_at_5
value: 21.079
- type: ndcg_at_1
value: 15.867999999999999
- type: ndcg_at_10
value: 22.262999999999998
- type: ndcg_at_100
value: 27.183
- type: ndcg_at_1000
value: 30.736
- type: ndcg_at_3
value: 18.748
- type: ndcg_at_5
value: 20.349999999999998
- type: precision_at_1
value: 15.867999999999999
- type: precision_at_10
value: 4.247
- type: precision_at_100
value: 0.7969999999999999
- type: precision_at_1000
value: 0.128
- type: precision_at_3
value: 9.132
- type: precision_at_5
value: 6.734999999999999
- type: recall_at_1
value: 12.591
- type: recall_at_10
value: 30.481
- type: recall_at_100
value: 51.943
- type: recall_at_1000
value: 77.21900000000001
- type: recall_at_3
value: 20.633000000000003
- type: recall_at_5
value: 24.755
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 14.31925
- type: map_at_10
value: 19.728083333333334
- type: map_at_100
value: 20.634249999999998
- type: map_at_1000
value: 20.759749999999997
- type: map_at_3
value: 18.026916666666665
- type: map_at_5
value: 18.982000000000003
- type: mrr_at_1
value: 17.433916666666665
- type: mrr_at_10
value: 22.865083333333335
- type: mrr_at_100
value: 23.671333333333333
- type: mrr_at_1000
value: 23.758666666666667
- type: mrr_at_3
value: 21.17683333333333
- type: mrr_at_5
value: 22.126583333333333
- type: ndcg_at_1
value: 17.433916666666665
- type: ndcg_at_10
value: 23.24025
- type: ndcg_at_100
value: 27.731999999999996
- type: ndcg_at_1000
value: 30.89491666666666
- type: ndcg_at_3
value: 20.1805
- type: ndcg_at_5
value: 21.60258333333333
- type: precision_at_1
value: 17.433916666666665
- type: precision_at_10
value: 4.150666666666667
- type: precision_at_100
value: 0.7606666666666668
- type: precision_at_1000
value: 0.12116666666666667
- type: precision_at_3
value: 9.400833333333333
- type: precision_at_5
value: 6.769666666666666
- type: recall_at_1
value: 14.31925
- type: recall_at_10
value: 30.738583333333334
- type: recall_at_100
value: 51.23908333333333
- type: recall_at_1000
value: 74.19550000000001
- type: recall_at_3
value: 22.07891666666667
- type: recall_at_5
value: 25.751
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 10.459
- type: map_at_10
value: 14.745
- type: map_at_100
value: 15.365
- type: map_at_1000
value: 15.448999999999998
- type: map_at_3
value: 13.320000000000002
- type: map_at_5
value: 14.111
- type: mrr_at_1
value: 12.577
- type: mrr_at_10
value: 16.882
- type: mrr_at_100
value: 17.464
- type: mrr_at_1000
value: 17.541999999999998
- type: mrr_at_3
value: 15.389
- type: mrr_at_5
value: 16.178
- type: ndcg_at_1
value: 12.577
- type: ndcg_at_10
value: 17.718
- type: ndcg_at_100
value: 21.137
- type: ndcg_at_1000
value: 23.669
- type: ndcg_at_3
value: 14.91
- type: ndcg_at_5
value: 16.181
- type: precision_at_1
value: 12.577
- type: precision_at_10
value: 3.129
- type: precision_at_100
value: 0.532
- type: precision_at_1000
value: 0.082
- type: precision_at_3
value: 6.902
- type: precision_at_5
value: 5
- type: recall_at_1
value: 10.459
- type: recall_at_10
value: 24.927
- type: recall_at_100
value: 41.27
- type: recall_at_1000
value: 60.644
- type: recall_at_3
value: 16.871
- type: recall_at_5
value: 20.151
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 7.815999999999999
- type: map_at_10
value: 11.289
- type: map_at_100
value: 11.919
- type: map_at_1000
value: 12.042
- type: map_at_3
value: 10.199
- type: map_at_5
value: 10.83
- type: mrr_at_1
value: 9.565999999999999
- type: mrr_at_10
value: 13.541
- type: mrr_at_100
value: 14.174000000000001
- type: mrr_at_1000
value: 14.277999999999999
- type: mrr_at_3
value: 12.308
- type: mrr_at_5
value: 13.003
- type: ndcg_at_1
value: 9.565999999999999
- type: ndcg_at_10
value: 13.66
- type: ndcg_at_100
value: 17.192
- type: ndcg_at_1000
value: 20.732
- type: ndcg_at_3
value: 11.599
- type: ndcg_at_5
value: 12.603
- type: precision_at_1
value: 9.565999999999999
- type: precision_at_10
value: 2.546
- type: precision_at_100
value: 0.518
- type: precision_at_1000
value: 0.098
- type: precision_at_3
value: 5.552
- type: precision_at_5
value: 4.095
- type: recall_at_1
value: 7.815999999999999
- type: recall_at_10
value: 18.594
- type: recall_at_100
value: 35.154
- type: recall_at_1000
value: 61.454
- type: recall_at_3
value: 12.934999999999999
- type: recall_at_5
value: 15.440000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 12.396
- type: map_at_10
value: 17.274
- type: map_at_100
value: 18.17
- type: map_at_1000
value: 18.287
- type: map_at_3
value: 15.926000000000002
- type: map_at_5
value: 16.621
- type: mrr_at_1
value: 14.924999999999999
- type: mrr_at_10
value: 20.157
- type: mrr_at_100
value: 21.056
- type: mrr_at_1000
value: 21.149
- type: mrr_at_3
value: 18.719
- type: mrr_at_5
value: 19.433
- type: ndcg_at_1
value: 14.924999999999999
- type: ndcg_at_10
value: 20.468
- type: ndcg_at_100
value: 24.962
- type: ndcg_at_1000
value: 28.255999999999997
- type: ndcg_at_3
value: 17.836
- type: ndcg_at_5
value: 18.901
- type: precision_at_1
value: 14.924999999999999
- type: precision_at_10
value: 3.479
- type: precision_at_100
value: 0.626
- type: precision_at_1000
value: 0.10300000000000001
- type: precision_at_3
value: 8.333
- type: precision_at_5
value: 5.7090000000000005
- type: recall_at_1
value: 12.396
- type: recall_at_10
value: 27.554000000000002
- type: recall_at_100
value: 47.811
- type: recall_at_1000
value: 71.988
- type: recall_at_3
value: 20.054
- type: recall_at_5
value: 22.874
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 14.496999999999998
- type: map_at_10
value: 20.928
- type: map_at_100
value: 21.991
- type: map_at_1000
value: 22.171
- type: map_at_3
value: 19.159000000000002
- type: map_at_5
value: 20.121
- type: mrr_at_1
value: 18.182000000000002
- type: mrr_at_10
value: 24.456
- type: mrr_at_100
value: 25.308000000000003
- type: mrr_at_1000
value: 25.387999999999998
- type: mrr_at_3
value: 22.892000000000003
- type: mrr_at_5
value: 23.831
- type: ndcg_at_1
value: 18.182000000000002
- type: ndcg_at_10
value: 24.923000000000002
- type: ndcg_at_100
value: 29.720000000000002
- type: ndcg_at_1000
value: 33.265
- type: ndcg_at_3
value: 22.137999999999998
- type: ndcg_at_5
value: 23.422
- type: precision_at_1
value: 18.182000000000002
- type: precision_at_10
value: 4.901
- type: precision_at_100
value: 1.079
- type: precision_at_1000
value: 0.19
- type: precision_at_3
value: 10.738
- type: precision_at_5
value: 7.747
- type: recall_at_1
value: 14.496999999999998
- type: recall_at_10
value: 32.266
- type: recall_at_100
value: 54.874
- type: recall_at_1000
value: 79.469
- type: recall_at_3
value: 24.083
- type: recall_at_5
value: 27.602
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 11.657
- type: map_at_10
value: 15.641
- type: map_at_100
value: 16.375
- type: map_at_1000
value: 16.486
- type: map_at_3
value: 14.322
- type: map_at_5
value: 15.029
- type: mrr_at_1
value: 13.309000000000001
- type: mrr_at_10
value: 17.283
- type: mrr_at_100
value: 18.008
- type: mrr_at_1000
value: 18.107
- type: mrr_at_3
value: 15.804000000000002
- type: mrr_at_5
value: 16.645
- type: ndcg_at_1
value: 13.309000000000001
- type: ndcg_at_10
value: 18.3
- type: ndcg_at_100
value: 22.448999999999998
- type: ndcg_at_1000
value: 25.746000000000002
- type: ndcg_at_3
value: 15.534999999999998
- type: ndcg_at_5
value: 16.797
- type: precision_at_1
value: 13.309000000000001
- type: precision_at_10
value: 2.921
- type: precision_at_100
value: 0.536
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 6.654
- type: precision_at_5
value: 4.769
- type: recall_at_1
value: 11.657
- type: recall_at_10
value: 25.125999999999998
- type: recall_at_100
value: 45.289
- type: recall_at_1000
value: 70.712
- type: recall_at_3
value: 17.572
- type: recall_at_5
value: 20.567
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 6.065
- type: map_at_10
value: 10.929
- type: map_at_100
value: 12.303
- type: map_at_1000
value: 12.496
- type: map_at_3
value: 8.85
- type: map_at_5
value: 9.801
- type: mrr_at_1
value: 13.028999999999998
- type: mrr_at_10
value: 21.607000000000003
- type: mrr_at_100
value: 22.767
- type: mrr_at_1000
value: 22.835
- type: mrr_at_3
value: 18.675
- type: mrr_at_5
value: 20.193
- type: ndcg_at_1
value: 13.028999999999998
- type: ndcg_at_10
value: 16.444
- type: ndcg_at_100
value: 22.966
- type: ndcg_at_1000
value: 27.016000000000002
- type: ndcg_at_3
value: 12.45
- type: ndcg_at_5
value: 13.736
- type: precision_at_1
value: 13.028999999999998
- type: precision_at_10
value: 5.57
- type: precision_at_100
value: 1.261
- type: precision_at_1000
value: 0.199
- type: precision_at_3
value: 9.597999999999999
- type: precision_at_5
value: 7.596
- type: recall_at_1
value: 6.065
- type: recall_at_10
value: 21.267
- type: recall_at_100
value: 44.603
- type: recall_at_1000
value: 68.116
- type: recall_at_3
value: 11.855
- type: recall_at_5
value: 15.145
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 4.109
- type: map_at_10
value: 9.25
- type: map_at_100
value: 12.601999999999999
- type: map_at_1000
value: 13.52
- type: map_at_3
value: 6.708
- type: map_at_5
value: 7.908999999999999
- type: mrr_at_1
value: 38.5
- type: mrr_at_10
value: 48.581
- type: mrr_at_100
value: 49.366
- type: mrr_at_1000
value: 49.396
- type: mrr_at_3
value: 45.917
- type: mrr_at_5
value: 47.342
- type: ndcg_at_1
value: 27.875
- type: ndcg_at_10
value: 22.938
- type: ndcg_at_100
value: 25.574
- type: ndcg_at_1000
value: 32.25
- type: ndcg_at_3
value: 25.624000000000002
- type: ndcg_at_5
value: 24.2
- type: precision_at_1
value: 38.5
- type: precision_at_10
value: 20.05
- type: precision_at_100
value: 6.245
- type: precision_at_1000
value: 1.341
- type: precision_at_3
value: 30.166999999999998
- type: precision_at_5
value: 25.75
- type: recall_at_1
value: 4.109
- type: recall_at_10
value: 13.535
- type: recall_at_100
value: 31.313999999999997
- type: recall_at_1000
value: 53.547999999999995
- type: recall_at_3
value: 8.042
- type: recall_at_5
value: 10.446
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 44.93000000000001
- type: f1
value: 40.86871174296382
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 14.285999999999998
- type: map_at_10
value: 21.746
- type: map_at_100
value: 22.659000000000002
- type: map_at_1000
value: 22.736
- type: map_at_3
value: 19.366
- type: map_at_5
value: 20.632
- type: mrr_at_1
value: 15.257000000000001
- type: mrr_at_10
value: 23.133
- type: mrr_at_100
value: 24.038
- type: mrr_at_1000
value: 24.105999999999998
- type: mrr_at_3
value: 20.622
- type: mrr_at_5
value: 21.968
- type: ndcg_at_1
value: 15.257000000000001
- type: ndcg_at_10
value: 26.381
- type: ndcg_at_100
value: 31.14
- type: ndcg_at_1000
value: 33.291
- type: ndcg_at_3
value: 21.409
- type: ndcg_at_5
value: 23.692
- type: precision_at_1
value: 15.257000000000001
- type: precision_at_10
value: 4.311
- type: precision_at_100
value: 0.688
- type: precision_at_1000
value: 0.089
- type: precision_at_3
value: 9.361
- type: precision_at_5
value: 6.8229999999999995
- type: recall_at_1
value: 14.285999999999998
- type: recall_at_10
value: 39.660000000000004
- type: recall_at_100
value: 62.107
- type: recall_at_1000
value: 78.771
- type: recall_at_3
value: 26.054
- type: recall_at_5
value: 31.532
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 6.04
- type: map_at_10
value: 10.43
- type: map_at_100
value: 11.541
- type: map_at_1000
value: 11.745999999999999
- type: map_at_3
value: 8.863
- type: map_at_5
value: 9.76
- type: mrr_at_1
value: 12.346
- type: mrr_at_10
value: 18.407
- type: mrr_at_100
value: 19.395
- type: mrr_at_1000
value: 19.500999999999998
- type: mrr_at_3
value: 16.281000000000002
- type: mrr_at_5
value: 17.438000000000002
- type: ndcg_at_1
value: 12.346
- type: ndcg_at_10
value: 14.597999999999999
- type: ndcg_at_100
value: 19.942999999999998
- type: ndcg_at_1000
value: 24.65
- type: ndcg_at_3
value: 12.209
- type: ndcg_at_5
value: 13.135
- type: precision_at_1
value: 12.346
- type: precision_at_10
value: 4.306
- type: precision_at_100
value: 0.9610000000000001
- type: precision_at_1000
value: 0.17500000000000002
- type: precision_at_3
value: 8.385
- type: precision_at_5
value: 6.451
- type: recall_at_1
value: 6.04
- type: recall_at_10
value: 19.039
- type: recall_at_100
value: 39.897
- type: recall_at_1000
value: 69.652
- type: recall_at_3
value: 11.376999999999999
- type: recall_at_5
value: 14.597999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 17.097
- type: map_at_10
value: 23.765
- type: map_at_100
value: 24.673000000000002
- type: map_at_1000
value: 24.784
- type: map_at_3
value: 21.881999999999998
- type: map_at_5
value: 22.947
- type: mrr_at_1
value: 34.193
- type: mrr_at_10
value: 40.818
- type: mrr_at_100
value: 41.571999999999996
- type: mrr_at_1000
value: 41.631
- type: mrr_at_3
value: 38.924
- type: mrr_at_5
value: 40.017
- type: ndcg_at_1
value: 34.193
- type: ndcg_at_10
value: 30.343999999999998
- type: ndcg_at_100
value: 34.587
- type: ndcg_at_1000
value: 37.275000000000006
- type: ndcg_at_3
value: 26.754
- type: ndcg_at_5
value: 28.538000000000004
- type: precision_at_1
value: 34.193
- type: precision_at_10
value: 6.641
- type: precision_at_100
value: 1.004
- type: precision_at_1000
value: 0.136
- type: precision_at_3
value: 16.75
- type: precision_at_5
value: 11.465
- type: recall_at_1
value: 17.097
- type: recall_at_10
value: 33.207
- type: recall_at_100
value: 50.18899999999999
- type: recall_at_1000
value: 68.143
- type: recall_at_3
value: 25.124999999999996
- type: recall_at_5
value: 28.663
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 64.3804
- type: ap
value: 59.49035666846163
- type: f1
value: 64.24322259403525
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 6.232
- type: map_at_10
value: 10.822
- type: map_at_100
value: 11.688
- type: map_at_1000
value: 11.790000000000001
- type: map_at_3
value: 9.118
- type: map_at_5
value: 10.042
- type: mrr_at_1
value: 6.418
- type: mrr_at_10
value: 11.115
- type: mrr_at_100
value: 11.985999999999999
- type: mrr_at_1000
value: 12.084
- type: mrr_at_3
value: 9.384
- type: mrr_at_5
value: 10.32
- type: ndcg_at_1
value: 6.404
- type: ndcg_at_10
value: 13.719000000000001
- type: ndcg_at_100
value: 18.491
- type: ndcg_at_1000
value: 21.58
- type: ndcg_at_3
value: 10.141
- type: ndcg_at_5
value: 11.818
- type: precision_at_1
value: 6.404
- type: precision_at_10
value: 2.37
- type: precision_at_100
value: 0.485
- type: precision_at_1000
value: 0.075
- type: precision_at_3
value: 4.441
- type: precision_at_5
value: 3.5130000000000003
- type: recall_at_1
value: 6.232
- type: recall_at_10
value: 22.747
- type: recall_at_100
value: 46.085
- type: recall_at_1000
value: 70.949
- type: recall_at_3
value: 12.851
- type: recall_at_5
value: 16.915
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 89.578203374373
- type: f1
value: 88.85225302664156
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 60.606475148198825
- type: f1
value: 41.71354863184995
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 63.07330195023536
- type: f1
value: 61.05376930007893
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 69.82515131136516
- type: f1
value: 68.60461212305022
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 27.95405092796609
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 25.228351073417375
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 29.15684785427689
- type: mrr
value: 30.08928599398446
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 3.6130000000000004
- type: map_at_10
value: 7.698
- type: map_at_100
value: 9.657
- type: map_at_1000
value: 10.942
- type: map_at_3
value: 5.8950000000000005
- type: map_at_5
value: 6.816
- type: mrr_at_1
value: 32.817
- type: mrr_at_10
value: 42.766999999999996
- type: mrr_at_100
value: 43.506
- type: mrr_at_1000
value: 43.565
- type: mrr_at_3
value: 40.454
- type: mrr_at_5
value: 42.064
- type: ndcg_at_1
value: 30.341
- type: ndcg_at_10
value: 24.366
- type: ndcg_at_100
value: 22.671
- type: ndcg_at_1000
value: 32.309
- type: ndcg_at_3
value: 27.862
- type: ndcg_at_5
value: 26.849
- type: precision_at_1
value: 32.817
- type: precision_at_10
value: 18.05
- type: precision_at_100
value: 6.257
- type: precision_at_1000
value: 1.947
- type: precision_at_3
value: 26.729000000000003
- type: precision_at_5
value: 23.529
- type: recall_at_1
value: 3.6130000000000004
- type: recall_at_10
value: 11.92
- type: recall_at_100
value: 24.817
- type: recall_at_1000
value: 59.638000000000005
- type: recall_at_3
value: 7.536
- type: recall_at_5
value: 9.574
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 9.078999999999999
- type: map_at_10
value: 15.555
- type: map_at_100
value: 16.656000000000002
- type: map_at_1000
value: 16.76
- type: map_at_3
value: 13.053
- type: map_at_5
value: 14.352
- type: mrr_at_1
value: 10.342
- type: mrr_at_10
value: 17.169999999999998
- type: mrr_at_100
value: 18.194
- type: mrr_at_1000
value: 18.279999999999998
- type: mrr_at_3
value: 14.536999999999999
- type: mrr_at_5
value: 15.916
- type: ndcg_at_1
value: 10.342
- type: ndcg_at_10
value: 19.961000000000002
- type: ndcg_at_100
value: 25.730999999999998
- type: ndcg_at_1000
value: 28.538999999999998
- type: ndcg_at_3
value: 14.712
- type: ndcg_at_5
value: 17.069000000000003
- type: precision_at_1
value: 10.342
- type: precision_at_10
value: 3.7830000000000004
- type: precision_at_100
value: 0.709
- type: precision_at_1000
value: 0.098
- type: precision_at_3
value: 6.904000000000001
- type: precision_at_5
value: 5.457999999999999
- type: recall_at_1
value: 9.078999999999999
- type: recall_at_10
value: 32.135999999999996
- type: recall_at_100
value: 59.275
- type: recall_at_1000
value: 80.73599999999999
- type: recall_at_3
value: 18.086
- type: recall_at_5
value: 23.634
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 62.601
- type: map_at_10
value: 75.139
- type: map_at_100
value: 75.909
- type: map_at_1000
value: 75.945
- type: map_at_3
value: 72.221
- type: map_at_5
value: 73.97200000000001
- type: mrr_at_1
value: 72.2
- type: mrr_at_10
value: 79.56299999999999
- type: mrr_at_100
value: 79.81899999999999
- type: mrr_at_1000
value: 79.825
- type: mrr_at_3
value: 78.102
- type: mrr_at_5
value: 79.035
- type: ndcg_at_1
value: 72.24000000000001
- type: ndcg_at_10
value: 79.865
- type: ndcg_at_100
value: 82.047
- type: ndcg_at_1000
value: 82.462
- type: ndcg_at_3
value: 76.268
- type: ndcg_at_5
value: 78.105
- type: precision_at_1
value: 72.24000000000001
- type: precision_at_10
value: 12.056000000000001
- type: precision_at_100
value: 1.448
- type: precision_at_1000
value: 0.154
- type: precision_at_3
value: 33.019999999999996
- type: precision_at_5
value: 21.814
- type: recall_at_1
value: 62.601
- type: recall_at_10
value: 88.9
- type: recall_at_100
value: 97.21300000000001
- type: recall_at_1000
value: 99.564
- type: recall_at_3
value: 78.578
- type: recall_at_5
value: 83.712
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 39.70907132721693
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 44.64376174681288
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.093
- type: map_at_10
value: 6.7589999999999995
- type: map_at_100
value: 8.079
- type: map_at_1000
value: 8.324
- type: map_at_3
value: 4.989
- type: map_at_5
value: 5.8340000000000005
- type: mrr_at_1
value: 15.2
- type: mrr_at_10
value: 22.102
- type: mrr_at_100
value: 23.41
- type: mrr_at_1000
value: 23.494999999999997
- type: mrr_at_3
value: 19.35
- type: mrr_at_5
value: 20.915
- type: ndcg_at_1
value: 15.2
- type: ndcg_at_10
value: 12.041
- type: ndcg_at_100
value: 18.262999999999998
- type: ndcg_at_1000
value: 23.319000000000003
- type: ndcg_at_3
value: 11.361
- type: ndcg_at_5
value: 9.922
- type: precision_at_1
value: 15.2
- type: precision_at_10
value: 6.2
- type: precision_at_100
value: 1.524
- type: precision_at_1000
value: 0.27499999999999997
- type: precision_at_3
value: 10.366999999999999
- type: precision_at_5
value: 8.559999999999999
- type: recall_at_1
value: 3.093
- type: recall_at_10
value: 12.558
- type: recall_at_100
value: 30.968
- type: recall_at_1000
value: 55.822
- type: recall_at_3
value: 6.313000000000001
- type: recall_at_5
value: 8.663
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 76.59936883090633
- type: cos_sim_spearman
value: 67.449780263824
- type: euclidean_pearson
value: 72.60428215386752
- type: euclidean_spearman
value: 67.44984967322037
- type: manhattan_pearson
value: 70.45191579421203
- type: manhattan_spearman
value: 65.69863566501837
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 74.50923047867227
- type: cos_sim_spearman
value: 67.38818934089512
- type: euclidean_pearson
value: 70.59764726174319
- type: euclidean_spearman
value: 67.3895124414073
- type: manhattan_pearson
value: 70.93710455066322
- type: manhattan_spearman
value: 68.47333448128255
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 78.19112365575151
- type: cos_sim_spearman
value: 79.38112417768889
- type: euclidean_pearson
value: 79.02004199857001
- type: euclidean_spearman
value: 79.38116197916214
- type: manhattan_pearson
value: 79.33062720702922
- type: manhattan_spearman
value: 79.86274598216346
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 78.27661661577554
- type: cos_sim_spearman
value: 75.02645051253974
- type: euclidean_pearson
value: 77.31963861590447
- type: euclidean_spearman
value: 75.02644082093607
- type: manhattan_pearson
value: 76.88075387757338
- type: manhattan_spearman
value: 75.03620772365731
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 80.73501459044348
- type: cos_sim_spearman
value: 81.7087832439833
- type: euclidean_pearson
value: 81.70375595238252
- type: euclidean_spearman
value: 81.70879349429642
- type: manhattan_pearson
value: 82.21073460122751
- type: manhattan_spearman
value: 82.45344973434487
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 76.24869898679407
- type: cos_sim_spearman
value: 77.47191941649987
- type: euclidean_pearson
value: 77.14620105063327
- type: euclidean_spearman
value: 77.47219091002489
- type: manhattan_pearson
value: 77.88837129949594
- type: manhattan_spearman
value: 78.26164627132523
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 84.15270089083396
- type: cos_sim_spearman
value: 85.24857271570637
- type: euclidean_pearson
value: 84.98738655400811
- type: euclidean_spearman
value: 85.24944616360952
- type: manhattan_pearson
value: 85.04472988712456
- type: manhattan_spearman
value: 85.48535037229792
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 62.77663686460365
- type: cos_sim_spearman
value: 60.285236974552035
- type: euclidean_pearson
value: 62.70838876789665
- type: euclidean_spearman
value: 60.285236974552035
- type: manhattan_pearson
value: 62.679276682561145
- type: manhattan_spearman
value: 60.92428353513052
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 78.52806201186114
- type: cos_sim_spearman
value: 77.38921404464156
- type: euclidean_pearson
value: 78.55234100248828
- type: euclidean_spearman
value: 77.3892624307418
- type: manhattan_pearson
value: 78.40272170392453
- type: manhattan_spearman
value: 77.3848057032632
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 72.17674803973841
- type: mrr
value: 90.82954264326813
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 33.306000000000004
- type: map_at_10
value: 41.47
- type: map_at_100
value: 42.742000000000004
- type: map_at_1000
value: 42.819
- type: map_at_3
value: 39.189
- type: map_at_5
value: 40.806
- type: mrr_at_1
value: 35.333
- type: mrr_at_10
value: 43.263
- type: mrr_at_100
value: 44.336999999999996
- type: mrr_at_1000
value: 44.395
- type: mrr_at_3
value: 41.278
- type: mrr_at_5
value: 42.628
- type: ndcg_at_1
value: 35.333
- type: ndcg_at_10
value: 45.786
- type: ndcg_at_100
value: 51.669
- type: ndcg_at_1000
value: 53.381
- type: ndcg_at_3
value: 41.576
- type: ndcg_at_5
value: 44.22
- type: precision_at_1
value: 35.333
- type: precision_at_10
value: 6.3
- type: precision_at_100
value: 0.947
- type: precision_at_1000
value: 0.109
- type: precision_at_3
value: 16.778000000000002
- type: precision_at_5
value: 11.533
- type: recall_at_1
value: 33.306000000000004
- type: recall_at_10
value: 57.343999999999994
- type: recall_at_100
value: 84.18299999999999
- type: recall_at_1000
value: 97.13300000000001
- type: recall_at_3
value: 46.067
- type: recall_at_5
value: 52.65
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.69504950495049
- type: cos_sim_ap
value: 90.79424558972948
- type: cos_sim_f1
value: 84.48448448448448
- type: cos_sim_precision
value: 84.5691382765531
- type: cos_sim_recall
value: 84.39999999999999
- type: dot_accuracy
value: 99.69504950495049
- type: dot_ap
value: 90.79424558972948
- type: dot_f1
value: 84.48448448448448
- type: dot_precision
value: 84.5691382765531
- type: dot_recall
value: 84.39999999999999
- type: euclidean_accuracy
value: 99.69504950495049
- type: euclidean_ap
value: 90.79424558972948
- type: euclidean_f1
value: 84.48448448448448
- type: euclidean_precision
value: 84.5691382765531
- type: euclidean_recall
value: 84.39999999999999
- type: manhattan_accuracy
value: 99.75643564356436
- type: manhattan_ap
value: 93.41396654747622
- type: manhattan_f1
value: 87.5882946518668
- type: manhattan_precision
value: 88.39103869653768
- type: manhattan_recall
value: 86.8
- type: max_accuracy
value: 99.75643564356436
- type: max_ap
value: 93.41396654747622
- type: max_f1
value: 87.5882946518668
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 43.00307928573676
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 29.337614632610055
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 43.61569502307688
- type: mrr
value: 44.13243517103811
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.006930304818425
- type: cos_sim_spearman
value: 30.418908411172975
- type: dot_pearson
value: 30.006930280987586
- type: dot_spearman
value: 30.38081230487529
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.10300000000000001
- type: map_at_10
value: 0.6709999999999999
- type: map_at_100
value: 3.6519999999999997
- type: map_at_1000
value: 9.259
- type: map_at_3
value: 0.272
- type: map_at_5
value: 0.40099999999999997
- type: mrr_at_1
value: 44
- type: mrr_at_10
value: 58.408
- type: mrr_at_100
value: 58.884
- type: mrr_at_1000
value: 58.884
- type: mrr_at_3
value: 54
- type: mrr_at_5
value: 56.699999999999996
- type: ndcg_at_1
value: 38
- type: ndcg_at_10
value: 38.509
- type: ndcg_at_100
value: 29.579
- type: ndcg_at_1000
value: 26.949
- type: ndcg_at_3
value: 41.307
- type: ndcg_at_5
value: 40.125
- type: precision_at_1
value: 44
- type: precision_at_10
value: 42
- type: precision_at_100
value: 31.019999999999996
- type: precision_at_1000
value: 13.370000000000001
- type: precision_at_3
value: 46.666999999999994
- type: precision_at_5
value: 44.800000000000004
- type: recall_at_1
value: 0.10300000000000001
- type: recall_at_10
value: 0.9299999999999999
- type: recall_at_100
value: 6.471
- type: recall_at_1000
value: 26.168999999999997
- type: recall_at_3
value: 0.31
- type: recall_at_5
value: 0.496
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.16
- type: map_at_10
value: 8.18
- type: map_at_100
value: 13.54
- type: map_at_1000
value: 15.123000000000001
- type: map_at_3
value: 4.556
- type: map_at_5
value: 5.808
- type: mrr_at_1
value: 30.612000000000002
- type: mrr_at_10
value: 41.914
- type: mrr_at_100
value: 42.746
- type: mrr_at_1000
value: 42.748999999999995
- type: mrr_at_3
value: 37.415
- type: mrr_at_5
value: 39.354
- type: ndcg_at_1
value: 28.571
- type: ndcg_at_10
value: 21.407
- type: ndcg_at_100
value: 33.811
- type: ndcg_at_1000
value: 45.165
- type: ndcg_at_3
value: 24.823999999999998
- type: ndcg_at_5
value: 22.439
- type: precision_at_1
value: 30.612000000000002
- type: precision_at_10
value: 19.387999999999998
- type: precision_at_100
value: 7.611999999999999
- type: precision_at_1000
value: 1.486
- type: precision_at_3
value: 25.85
- type: precision_at_5
value: 22.041
- type: recall_at_1
value: 2.16
- type: recall_at_10
value: 13.299
- type: recall_at_100
value: 45.473
- type: recall_at_1000
value: 80.25
- type: recall_at_3
value: 5.418
- type: recall_at_5
value: 7.582
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 70.2412
- type: ap
value: 13.838035383851436
- type: f1
value: 53.98636348585877
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 54.31239388794567
- type: f1
value: 54.51029711856694
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 36.200252800690315
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.91845979614949
- type: cos_sim_ap
value: 66.31917886451025
- type: cos_sim_f1
value: 63.34641805691855
- type: cos_sim_precision
value: 59.193030719853276
- type: cos_sim_recall
value: 68.12664907651715
- type: dot_accuracy
value: 83.91845979614949
- type: dot_ap
value: 66.31917886451025
- type: dot_f1
value: 63.34641805691855
- type: dot_precision
value: 59.193030719853276
- type: dot_recall
value: 68.12664907651715
- type: euclidean_accuracy
value: 83.91845979614949
- type: euclidean_ap
value: 66.31917886451025
- type: euclidean_f1
value: 63.34641805691855
- type: euclidean_precision
value: 59.193030719853276
- type: euclidean_recall
value: 68.12664907651715
- type: manhattan_accuracy
value: 83.07206294331525
- type: manhattan_ap
value: 64.02709472190338
- type: manhattan_f1
value: 60.95680900526123
- type: manhattan_precision
value: 56.833219256217205
- type: manhattan_recall
value: 65.72559366754618
- type: max_accuracy
value: 83.91845979614949
- type: max_ap
value: 66.31917886451025
- type: max_f1
value: 63.34641805691855
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.52086001474754
- type: cos_sim_ap
value: 83.16118544055554
- type: cos_sim_f1
value: 75.42429906542057
- type: cos_sim_precision
value: 73.30329893910769
- type: cos_sim_recall
value: 77.67169695103172
- type: dot_accuracy
value: 87.52086001474754
- type: dot_ap
value: 83.16118403036499
- type: dot_f1
value: 75.42429906542057
- type: dot_precision
value: 73.30329893910769
- type: dot_recall
value: 77.67169695103172
- type: euclidean_accuracy
value: 87.52086001474754
- type: euclidean_ap
value: 83.16117609787312
- type: euclidean_f1
value: 75.42429906542057
- type: euclidean_precision
value: 73.30329893910769
- type: euclidean_recall
value: 77.67169695103172
- type: manhattan_accuracy
value: 87.56549074397485
- type: manhattan_ap
value: 83.15926973242618
- type: manhattan_f1
value: 75.27466550636353
- type: manhattan_precision
value: 71.13974367760949
- type: manhattan_recall
value: 79.91992608561749
- type: max_accuracy
value: 87.56549074397485
- type: max_ap
value: 83.16118544055554
- type: max_f1
value: 75.42429906542057