metadata
tags:
- mteb
model-index:
- name: mpnet_main_nobivec
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 68.14925373134328
- type: ap
value: 30.344492603232688
- type: f1
value: 61.86365588668259
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 62.152125000000005
- type: ap
value: 57.843425428341554
- type: f1
value: 62.00827686700807
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 31.278
- type: f1
value: 30.933717306850117
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 23.186
- type: map_at_10
value: 37.467
- type: map_at_100
value: 38.544
- type: map_at_1000
value: 38.566
- type: map_at_3
value: 32.717
- type: map_at_5
value: 35.242000000000004
- type: mrr_at_1
value: 23.684
- type: mrr_at_10
value: 37.658
- type: mrr_at_100
value: 38.735
- type: mrr_at_1000
value: 38.756
- type: mrr_at_3
value: 32.93
- type: mrr_at_5
value: 35.445
- type: ndcg_at_1
value: 23.186
- type: ndcg_at_10
value: 45.857
- type: ndcg_at_100
value: 50.845
- type: ndcg_at_1000
value: 51.334999999999994
- type: ndcg_at_3
value: 35.992000000000004
- type: ndcg_at_5
value: 40.537
- type: precision_at_1
value: 23.186
- type: precision_at_10
value: 7.283
- type: precision_at_100
value: 0.9560000000000001
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 15.173
- type: precision_at_5
value: 11.309
- type: recall_at_1
value: 23.186
- type: recall_at_10
value: 72.831
- type: recall_at_100
value: 95.59
- type: recall_at_1000
value: 99.289
- type: recall_at_3
value: 45.519
- type: recall_at_5
value: 56.543
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 36.49112092394214
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 26.956300550326922
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 55.21453957338802
- type: mrr
value: 69.1818361693708
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 81.00547088743242
- type: cos_sim_spearman
value: 79.13493567331314
- type: euclidean_pearson
value: 79.63047595528823
- type: euclidean_spearman
value: 79.13493567331314
- type: manhattan_pearson
value: 79.46578839548812
- type: manhattan_spearman
value: 78.86926696926908
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 72.79220779220779
- type: f1
value: 72.00183161777994
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 33.91469425290078
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 25.33265342571266
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 20.383000000000003
- type: map_at_10
value: 26.997
- type: map_at_100
value: 28.29
- type: map_at_1000
value: 28.444000000000003
- type: map_at_3
value: 24.765
- type: map_at_5
value: 26.072
- type: mrr_at_1
value: 25.894000000000002
- type: mrr_at_10
value: 32.336
- type: mrr_at_100
value: 33.291
- type: mrr_at_1000
value: 33.36
- type: mrr_at_3
value: 30.353
- type: mrr_at_5
value: 31.526
- type: ndcg_at_1
value: 25.894000000000002
- type: ndcg_at_10
value: 31.497999999999998
- type: ndcg_at_100
value: 37.271
- type: ndcg_at_1000
value: 40.433
- type: ndcg_at_3
value: 28.21
- type: ndcg_at_5
value: 29.754
- type: precision_at_1
value: 25.894000000000002
- type: precision_at_10
value: 6.18
- type: precision_at_100
value: 1.139
- type: precision_at_1000
value: 0.17600000000000002
- type: precision_at_3
value: 13.447999999999999
- type: precision_at_5
value: 9.871
- type: recall_at_1
value: 20.383000000000003
- type: recall_at_10
value: 38.888
- type: recall_at_100
value: 64.85300000000001
- type: recall_at_1000
value: 86.81400000000001
- type: recall_at_3
value: 29.254
- type: recall_at_5
value: 33.742
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 15.414
- type: map_at_10
value: 21.178
- type: map_at_100
value: 22.112000000000002
- type: map_at_1000
value: 22.245
- type: map_at_3
value: 19.313
- type: map_at_5
value: 20.252
- type: mrr_at_1
value: 19.49
- type: mrr_at_10
value: 25.066
- type: mrr_at_100
value: 25.885
- type: mrr_at_1000
value: 25.96
- type: mrr_at_3
value: 23.132
- type: mrr_at_5
value: 24.09
- type: ndcg_at_1
value: 19.49
- type: ndcg_at_10
value: 25.009999999999998
- type: ndcg_at_100
value: 29.376
- type: ndcg_at_1000
value: 32.53
- type: ndcg_at_3
value: 21.707
- type: ndcg_at_5
value: 22.98
- type: precision_at_1
value: 19.49
- type: precision_at_10
value: 4.777
- type: precision_at_100
value: 0.8659999999999999
- type: precision_at_1000
value: 0.14100000000000001
- type: precision_at_3
value: 10.446
- type: precision_at_5
value: 7.452
- type: recall_at_1
value: 15.414
- type: recall_at_10
value: 32.584
- type: recall_at_100
value: 51.912000000000006
- type: recall_at_1000
value: 73.636
- type: recall_at_3
value: 22.966
- type: recall_at_5
value: 26.484
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 25.104
- type: map_at_10
value: 33.625
- type: map_at_100
value: 34.815000000000005
- type: map_at_1000
value: 34.910999999999994
- type: map_at_3
value: 30.894
- type: map_at_5
value: 32.507000000000005
- type: mrr_at_1
value: 29.279
- type: mrr_at_10
value: 36.942
- type: mrr_at_100
value: 37.88
- type: mrr_at_1000
value: 37.941
- type: mrr_at_3
value: 34.556
- type: mrr_at_5
value: 35.916
- type: ndcg_at_1
value: 29.279
- type: ndcg_at_10
value: 38.485
- type: ndcg_at_100
value: 43.974999999999994
- type: ndcg_at_1000
value: 46.165
- type: ndcg_at_3
value: 33.537
- type: ndcg_at_5
value: 36.025
- type: precision_at_1
value: 29.279
- type: precision_at_10
value: 6.351
- type: precision_at_100
value: 1.001
- type: precision_at_1000
value: 0.127
- type: precision_at_3
value: 14.963000000000001
- type: precision_at_5
value: 10.646
- type: recall_at_1
value: 25.104
- type: recall_at_10
value: 50.047
- type: recall_at_100
value: 74.678
- type: recall_at_1000
value: 90.471
- type: recall_at_3
value: 36.671
- type: recall_at_5
value: 42.797000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 12.626999999999999
- type: map_at_10
value: 17.686
- type: map_at_100
value: 18.568
- type: map_at_1000
value: 18.68
- type: map_at_3
value: 16.051000000000002
- type: map_at_5
value: 16.969
- type: mrr_at_1
value: 13.898
- type: mrr_at_10
value: 18.987000000000002
- type: mrr_at_100
value: 19.853
- type: mrr_at_1000
value: 19.955000000000002
- type: mrr_at_3
value: 17.307
- type: mrr_at_5
value: 18.262
- type: ndcg_at_1
value: 13.898
- type: ndcg_at_10
value: 20.799
- type: ndcg_at_100
value: 25.598
- type: ndcg_at_1000
value: 28.945
- type: ndcg_at_3
value: 17.482
- type: ndcg_at_5
value: 19.073
- type: precision_at_1
value: 13.898
- type: precision_at_10
value: 3.3329999999999997
- type: precision_at_100
value: 0.61
- type: precision_at_1000
value: 0.095
- type: precision_at_3
value: 7.571
- type: precision_at_5
value: 5.492
- type: recall_at_1
value: 12.626999999999999
- type: recall_at_10
value: 29.261
- type: recall_at_100
value: 52.297000000000004
- type: recall_at_1000
value: 78.34
- type: recall_at_3
value: 20.188
- type: recall_at_5
value: 23.971999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 6.918
- type: map_at_10
value: 10.688
- type: map_at_100
value: 11.62
- type: map_at_1000
value: 11.733
- type: map_at_3
value: 9.203
- type: map_at_5
value: 10.084999999999999
- type: mrr_at_1
value: 9.08
- type: mrr_at_10
value: 13.447000000000001
- type: mrr_at_100
value: 14.377999999999998
- type: mrr_at_1000
value: 14.468
- type: mrr_at_3
value: 11.899
- type: mrr_at_5
value: 12.788
- type: ndcg_at_1
value: 9.08
- type: ndcg_at_10
value: 13.608999999999998
- type: ndcg_at_100
value: 18.845
- type: ndcg_at_1000
value: 22.252
- type: ndcg_at_3
value: 10.771
- type: ndcg_at_5
value: 12.225
- type: precision_at_1
value: 9.08
- type: precision_at_10
value: 2.6870000000000003
- type: precision_at_100
value: 0.641
- type: precision_at_1000
value: 0.107
- type: precision_at_3
value: 5.390000000000001
- type: precision_at_5
value: 4.204
- type: recall_at_1
value: 6.918
- type: recall_at_10
value: 20.076
- type: recall_at_100
value: 44.185
- type: recall_at_1000
value: 69.705
- type: recall_at_3
value: 12.147
- type: recall_at_5
value: 15.903
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 18.603
- type: map_at_10
value: 24.552
- type: map_at_100
value: 25.771
- type: map_at_1000
value: 25.917
- type: map_at_3
value: 22.286
- type: map_at_5
value: 23.398
- type: mrr_at_1
value: 22.522000000000002
- type: mrr_at_10
value: 28.986
- type: mrr_at_100
value: 29.94
- type: mrr_at_1000
value: 30.016
- type: mrr_at_3
value: 26.612000000000002
- type: mrr_at_5
value: 27.907
- type: ndcg_at_1
value: 22.522000000000002
- type: ndcg_at_10
value: 28.937
- type: ndcg_at_100
value: 34.821000000000005
- type: ndcg_at_1000
value: 38.086
- type: ndcg_at_3
value: 24.879
- type: ndcg_at_5
value: 26.576
- type: precision_at_1
value: 22.522000000000002
- type: precision_at_10
value: 5.371
- type: precision_at_100
value: 0.9979999999999999
- type: precision_at_1000
value: 0.149
- type: precision_at_3
value: 11.517
- type: precision_at_5
value: 8.277
- type: recall_at_1
value: 18.603
- type: recall_at_10
value: 37.669999999999995
- type: recall_at_100
value: 63.918
- type: recall_at_1000
value: 86.482
- type: recall_at_3
value: 26.308
- type: recall_at_5
value: 30.830000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 13.38
- type: map_at_10
value: 18.875
- type: map_at_100
value: 20.008
- type: map_at_1000
value: 20.158
- type: map_at_3
value: 16.959
- type: map_at_5
value: 17.858999999999998
- type: mrr_at_1
value: 16.667
- type: mrr_at_10
value: 22.409000000000002
- type: mrr_at_100
value: 23.391000000000002
- type: mrr_at_1000
value: 23.488
- type: mrr_at_3
value: 20.491
- type: mrr_at_5
value: 21.478
- type: ndcg_at_1
value: 16.667
- type: ndcg_at_10
value: 22.721
- type: ndcg_at_100
value: 28.17
- type: ndcg_at_1000
value: 31.886
- type: ndcg_at_3
value: 19.261
- type: ndcg_at_5
value: 20.575
- type: precision_at_1
value: 16.667
- type: precision_at_10
value: 4.349
- type: precision_at_100
value: 0.839
- type: precision_at_1000
value: 0.136
- type: precision_at_3
value: 9.399000000000001
- type: precision_at_5
value: 6.781
- type: recall_at_1
value: 13.38
- type: recall_at_10
value: 30.903999999999996
- type: recall_at_100
value: 54.75299999999999
- type: recall_at_1000
value: 81.188
- type: recall_at_3
value: 21.007
- type: recall_at_5
value: 24.568
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 14.091916666666668
- type: map_at_10
value: 19.413999999999998
- type: map_at_100
value: 20.39841666666667
- type: map_at_1000
value: 20.53091666666667
- type: map_at_3
value: 17.59308333333333
- type: map_at_5
value: 18.568
- type: mrr_at_1
value: 17.024666666666665
- type: mrr_at_10
value: 22.45566666666667
- type: mrr_at_100
value: 23.328166666666668
- type: mrr_at_1000
value: 23.417166666666667
- type: mrr_at_3
value: 20.65191666666667
- type: mrr_at_5
value: 21.653499999999998
- type: ndcg_at_1
value: 17.024666666666665
- type: ndcg_at_10
value: 23.004916666666666
- type: ndcg_at_100
value: 27.916083333333336
- type: ndcg_at_1000
value: 31.23883333333334
- type: ndcg_at_3
value: 19.685750000000002
- type: ndcg_at_5
value: 21.177416666666666
- type: precision_at_1
value: 17.024666666666665
- type: precision_at_10
value: 4.170999999999999
- type: precision_at_100
value: 0.7939999999999999
- type: precision_at_1000
value: 0.12708333333333333
- type: precision_at_3
value: 9.142083333333332
- type: precision_at_5
value: 6.64275
- type: recall_at_1
value: 14.091916666666668
- type: recall_at_10
value: 30.80275
- type: recall_at_100
value: 53.32091666666666
- type: recall_at_1000
value: 77.51058333333333
- type: recall_at_3
value: 21.45283333333333
- type: recall_at_5
value: 25.315333333333335
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 10.844
- type: map_at_10
value: 15.121
- type: map_at_100
value: 15.837000000000002
- type: map_at_1000
value: 15.928
- type: map_at_3
value: 13.629
- type: map_at_5
value: 14.462
- type: mrr_at_1
value: 12.577
- type: mrr_at_10
value: 16.93
- type: mrr_at_100
value: 17.701
- type: mrr_at_1000
value: 17.782999999999998
- type: mrr_at_3
value: 15.440000000000001
- type: mrr_at_5
value: 16.314
- type: ndcg_at_1
value: 12.577
- type: ndcg_at_10
value: 17.947
- type: ndcg_at_100
value: 22.055
- type: ndcg_at_1000
value: 24.854000000000003
- type: ndcg_at_3
value: 15.003
- type: ndcg_at_5
value: 16.433
- type: precision_at_1
value: 12.577
- type: precision_at_10
value: 3.0669999999999997
- type: precision_at_100
value: 0.557
- type: precision_at_1000
value: 0.087
- type: precision_at_3
value: 6.748
- type: precision_at_5
value: 4.968999999999999
- type: recall_at_1
value: 10.844
- type: recall_at_10
value: 25.014999999999997
- type: recall_at_100
value: 44.542
- type: recall_at_1000
value: 65.969
- type: recall_at_3
value: 16.766000000000002
- type: recall_at_5
value: 20.348
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 7.180000000000001
- type: map_at_10
value: 10.648
- type: map_at_100
value: 11.34
- type: map_at_1000
value: 11.472
- type: map_at_3
value: 9.506
- type: map_at_5
value: 10.064
- type: mrr_at_1
value: 9.222
- type: mrr_at_10
value: 13.023000000000001
- type: mrr_at_100
value: 13.733
- type: mrr_at_1000
value: 13.841999999999999
- type: mrr_at_3
value: 11.774
- type: mrr_at_5
value: 12.404
- type: ndcg_at_1
value: 9.222
- type: ndcg_at_10
value: 13.111999999999998
- type: ndcg_at_100
value: 16.936999999999998
- type: ndcg_at_1000
value: 20.712
- type: ndcg_at_3
value: 10.953
- type: ndcg_at_5
value: 11.809
- type: precision_at_1
value: 9.222
- type: precision_at_10
value: 2.5090000000000003
- type: precision_at_100
value: 0.536
- type: precision_at_1000
value: 0.10200000000000001
- type: precision_at_3
value: 5.357
- type: precision_at_5
value: 3.909
- type: recall_at_1
value: 7.180000000000001
- type: recall_at_10
value: 18.318
- type: recall_at_100
value: 36.187000000000005
- type: recall_at_1000
value: 64.29
- type: recall_at_3
value: 12.191
- type: recall_at_5
value: 14.421999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 12.847
- type: map_at_10
value: 17.381
- type: map_at_100
value: 18.246000000000002
- type: map_at_1000
value: 18.372
- type: map_at_3
value: 15.934000000000001
- type: map_at_5
value: 16.525000000000002
- type: mrr_at_1
value: 15.299
- type: mrr_at_10
value: 20.291999999999998
- type: mrr_at_100
value: 21.14
- type: mrr_at_1000
value: 21.238
- type: mrr_at_3
value: 18.688
- type: mrr_at_5
value: 19.369
- type: ndcg_at_1
value: 15.299
- type: ndcg_at_10
value: 20.684
- type: ndcg_at_100
value: 25.362000000000002
- type: ndcg_at_1000
value: 28.897000000000002
- type: ndcg_at_3
value: 17.708
- type: ndcg_at_5
value: 18.654
- type: precision_at_1
value: 15.299
- type: precision_at_10
value: 3.535
- type: precision_at_100
value: 0.66
- type: precision_at_1000
value: 0.109
- type: precision_at_3
value: 8.053
- type: precision_at_5
value: 5.485
- type: recall_at_1
value: 12.847
- type: recall_at_10
value: 28.218
- type: recall_at_100
value: 49.816
- type: recall_at_1000
value: 75.868
- type: recall_at_3
value: 19.636
- type: recall_at_5
value: 22.224
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 14.645
- type: map_at_10
value: 20.493
- type: map_at_100
value: 21.743000000000002
- type: map_at_1000
value: 21.951
- type: map_at_3
value: 18.584
- type: map_at_5
value: 19.628
- type: mrr_at_1
value: 17.984
- type: mrr_at_10
value: 23.879
- type: mrr_at_100
value: 24.87
- type: mrr_at_1000
value: 24.965
- type: mrr_at_3
value: 22.167
- type: mrr_at_5
value: 23.294
- type: ndcg_at_1
value: 17.984
- type: ndcg_at_10
value: 24.567
- type: ndcg_at_100
value: 29.818
- type: ndcg_at_1000
value: 33.667
- type: ndcg_at_3
value: 21.453
- type: ndcg_at_5
value: 23.018
- type: precision_at_1
value: 17.984
- type: precision_at_10
value: 4.862
- type: precision_at_100
value: 1.1280000000000001
- type: precision_at_1000
value: 0.201
- type: precision_at_3
value: 10.343
- type: precision_at_5
value: 7.747
- type: recall_at_1
value: 14.645
- type: recall_at_10
value: 32.102000000000004
- type: recall_at_100
value: 56.472
- type: recall_at_1000
value: 82.901
- type: recall_at_3
value: 22.814
- type: recall_at_5
value: 26.904
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 11.158
- type: map_at_10
value: 15.723999999999998
- type: map_at_100
value: 16.431
- type: map_at_1000
value: 16.56
- type: map_at_3
value: 13.993
- type: map_at_5
value: 14.995
- type: mrr_at_1
value: 12.384
- type: mrr_at_10
value: 17.171
- type: mrr_at_100
value: 17.876
- type: mrr_at_1000
value: 17.990000000000002
- type: mrr_at_3
value: 15.404000000000002
- type: mrr_at_5
value: 16.494
- type: ndcg_at_1
value: 12.384
- type: ndcg_at_10
value: 18.69
- type: ndcg_at_100
value: 22.765
- type: ndcg_at_1000
value: 26.439
- type: ndcg_at_3
value: 15.265
- type: ndcg_at_5
value: 17.007
- type: precision_at_1
value: 12.384
- type: precision_at_10
value: 3.031
- type: precision_at_100
value: 0.553
- type: precision_at_1000
value: 0.095
- type: precision_at_3
value: 6.47
- type: precision_at_5
value: 4.88
- type: recall_at_1
value: 11.158
- type: recall_at_10
value: 26.55
- type: recall_at_100
value: 46.238
- type: recall_at_1000
value: 74.46300000000001
- type: recall_at_3
value: 17.485999999999997
- type: recall_at_5
value: 21.59
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 6.375
- type: map_at_10
value: 11.718
- type: map_at_100
value: 13.245999999999999
- type: map_at_1000
value: 13.459
- type: map_at_3
value: 9.607000000000001
- type: map_at_5
value: 10.639999999999999
- type: mrr_at_1
value: 14.788
- type: mrr_at_10
value: 24.168
- type: mrr_at_100
value: 25.419999999999998
- type: mrr_at_1000
value: 25.480999999999998
- type: mrr_at_3
value: 20.955
- type: mrr_at_5
value: 22.802
- type: ndcg_at_1
value: 14.788
- type: ndcg_at_10
value: 17.721
- type: ndcg_at_100
value: 24.833
- type: ndcg_at_1000
value: 29.01
- type: ndcg_at_3
value: 13.714
- type: ndcg_at_5
value: 15.160000000000002
- type: precision_at_1
value: 14.788
- type: precision_at_10
value: 5.876
- type: precision_at_100
value: 1.341
- type: precision_at_1000
value: 0.211
- type: precision_at_3
value: 10.467
- type: precision_at_5
value: 8.391
- type: recall_at_1
value: 6.375
- type: recall_at_10
value: 22.598
- type: recall_at_100
value: 47.835
- type: recall_at_1000
value: 71.758
- type: recall_at_3
value: 13.033
- type: recall_at_5
value: 16.858
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 4.1579999999999995
- type: map_at_10
value: 9.283
- type: map_at_100
value: 13.092
- type: map_at_1000
value: 14.033999999999999
- type: map_at_3
value: 6.463000000000001
- type: map_at_5
value: 7.701
- type: mrr_at_1
value: 41.25
- type: mrr_at_10
value: 50.105999999999995
- type: mrr_at_100
value: 50.879
- type: mrr_at_1000
value: 50.912
- type: mrr_at_3
value: 47.292
- type: mrr_at_5
value: 48.766999999999996
- type: ndcg_at_1
value: 29.625
- type: ndcg_at_10
value: 23.26
- type: ndcg_at_100
value: 26.556
- type: ndcg_at_1000
value: 33.271
- type: ndcg_at_3
value: 25.665
- type: ndcg_at_5
value: 24.404
- type: precision_at_1
value: 41.25
- type: precision_at_10
value: 21.075
- type: precision_at_100
value: 6.748
- type: precision_at_1000
value: 1.444
- type: precision_at_3
value: 30.75
- type: precision_at_5
value: 26.700000000000003
- type: recall_at_1
value: 4.1579999999999995
- type: recall_at_10
value: 13.834
- type: recall_at_100
value: 33.318999999999996
- type: recall_at_1000
value: 56.806999999999995
- type: recall_at_3
value: 7.417999999999999
- type: recall_at_5
value: 9.872
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 46.825
- type: f1
value: 43.13728772840347
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 14.036000000000001
- type: map_at_10
value: 21.296
- type: map_at_100
value: 22.165000000000003
- type: map_at_1000
value: 22.24
- type: map_at_3
value: 19.186
- type: map_at_5
value: 20.366999999999997
- type: mrr_at_1
value: 14.865999999999998
- type: mrr_at_10
value: 22.503
- type: mrr_at_100
value: 23.376
- type: mrr_at_1000
value: 23.444000000000003
- type: mrr_at_3
value: 20.262
- type: mrr_at_5
value: 21.525
- type: ndcg_at_1
value: 14.865999999999998
- type: ndcg_at_10
value: 25.568
- type: ndcg_at_100
value: 30.131999999999998
- type: ndcg_at_1000
value: 32.242
- type: ndcg_at_3
value: 21.178
- type: ndcg_at_5
value: 23.317
- type: precision_at_1
value: 14.865999999999998
- type: precision_at_10
value: 4.098
- type: precision_at_100
value: 0.661
- type: precision_at_1000
value: 0.086
- type: precision_at_3
value: 9.211
- type: precision_at_5
value: 6.666999999999999
- type: recall_at_1
value: 14.036000000000001
- type: recall_at_10
value: 37.775999999999996
- type: recall_at_100
value: 59.243
- type: recall_at_1000
value: 75.583
- type: recall_at_3
value: 25.857000000000003
- type: recall_at_5
value: 30.982
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 6.859999999999999
- type: map_at_10
value: 11.631
- type: map_at_100
value: 12.795000000000002
- type: map_at_1000
value: 12.992999999999999
- type: map_at_3
value: 10.08
- type: map_at_5
value: 10.772
- type: mrr_at_1
value: 13.58
- type: mrr_at_10
value: 19.564999999999998
- type: mrr_at_100
value: 20.669999999999998
- type: mrr_at_1000
value: 20.761
- type: mrr_at_3
value: 17.824
- type: mrr_at_5
value: 18.619
- type: ndcg_at_1
value: 13.58
- type: ndcg_at_10
value: 15.78
- type: ndcg_at_100
value: 21.707
- type: ndcg_at_1000
value: 26.226
- type: ndcg_at_3
value: 13.719000000000001
- type: ndcg_at_5
value: 14.183000000000002
- type: precision_at_1
value: 13.58
- type: precision_at_10
value: 4.552
- type: precision_at_100
value: 1.028
- type: precision_at_1000
value: 0.183
- type: precision_at_3
value: 9.311
- type: precision_at_5
value: 6.79
- type: recall_at_1
value: 6.859999999999999
- type: recall_at_10
value: 20.054
- type: recall_at_100
value: 43.822
- type: recall_at_1000
value: 71.665
- type: recall_at_3
value: 13.008000000000001
- type: recall_at_5
value: 15.381
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 14.045
- type: map_at_10
value: 20.054
- type: map_at_100
value: 20.89
- type: map_at_1000
value: 20.999000000000002
- type: map_at_3
value: 18.297
- type: map_at_5
value: 19.231
- type: mrr_at_1
value: 28.089
- type: mrr_at_10
value: 34.583999999999996
- type: mrr_at_100
value: 35.337
- type: mrr_at_1000
value: 35.400999999999996
- type: mrr_at_3
value: 32.66
- type: mrr_at_5
value: 33.743
- type: ndcg_at_1
value: 28.089
- type: ndcg_at_10
value: 25.999
- type: ndcg_at_100
value: 30.023
- type: ndcg_at_1000
value: 32.742
- type: ndcg_at_3
value: 22.519
- type: ndcg_at_5
value: 24.15
- type: precision_at_1
value: 28.089
- type: precision_at_10
value: 5.858
- type: precision_at_100
value: 0.909
- type: precision_at_1000
value: 0.127
- type: precision_at_3
value: 14.265
- type: precision_at_5
value: 9.85
- type: recall_at_1
value: 14.045
- type: recall_at_10
value: 29.291
- type: recall_at_100
value: 45.436
- type: recall_at_1000
value: 63.666
- type: recall_at_3
value: 21.398
- type: recall_at_5
value: 24.625
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 61.8104
- type: ap
value: 57.38352158221927
- type: f1
value: 61.535478192568135
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 5.821
- type: map_at_10
value: 10.403
- type: map_at_100
value: 11.271
- type: map_at_1000
value: 11.375
- type: map_at_3
value: 8.764
- type: map_at_5
value: 9.588000000000001
- type: mrr_at_1
value: 6.0600000000000005
- type: mrr_at_10
value: 10.709
- type: mrr_at_100
value: 11.583
- type: mrr_at_1000
value: 11.684
- type: mrr_at_3
value: 9.046999999999999
- type: mrr_at_5
value: 9.894
- type: ndcg_at_1
value: 6.032
- type: ndcg_at_10
value: 13.264999999999999
- type: ndcg_at_100
value: 18.016
- type: ndcg_at_1000
value: 21.226
- type: ndcg_at_3
value: 9.82
- type: ndcg_at_5
value: 11.309
- type: precision_at_1
value: 6.032
- type: precision_at_10
value: 2.305
- type: precision_at_100
value: 0.477
- type: precision_at_1000
value: 0.075
- type: precision_at_3
value: 4.365
- type: precision_at_5
value: 3.367
- type: recall_at_1
value: 5.821
- type: recall_at_10
value: 22.165000000000003
- type: recall_at_100
value: 45.357
- type: recall_at_1000
value: 71.28
- type: recall_at_3
value: 12.631
- type: recall_at_5
value: 16.211000000000002
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 88.38349293205654
- type: f1
value: 87.54736120600828
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 55.23483812129503
- type: f1
value: 37.290140441414046
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 61.139878950907864
- type: f1
value: 59.50881927994892
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 70.01008742434432
- type: f1
value: 68.42281820836324
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 30.15718904178607
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 27.70725540281151
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 30.927012755857614
- type: mrr
value: 31.985831468302077
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 4.168
- type: map_at_10
value: 8.12
- type: map_at_100
value: 10.453999999999999
- type: map_at_1000
value: 11.937000000000001
- type: map_at_3
value: 6.069
- type: map_at_5
value: 7.138999999999999
- type: mrr_at_1
value: 34.056
- type: mrr_at_10
value: 43.980000000000004
- type: mrr_at_100
value: 44.638
- type: mrr_at_1000
value: 44.699
- type: mrr_at_3
value: 41.538000000000004
- type: mrr_at_5
value: 43.208999999999996
- type: ndcg_at_1
value: 32.507999999999996
- type: ndcg_at_10
value: 25.377
- type: ndcg_at_100
value: 24.298000000000002
- type: ndcg_at_1000
value: 34.327000000000005
- type: ndcg_at_3
value: 28.883
- type: ndcg_at_5
value: 27.49
- type: precision_at_1
value: 34.056
- type: precision_at_10
value: 18.978
- type: precision_at_100
value: 6.842
- type: precision_at_1000
value: 2.073
- type: precision_at_3
value: 27.348
- type: precision_at_5
value: 23.839
- type: recall_at_1
value: 4.168
- type: recall_at_10
value: 12.405
- type: recall_at_100
value: 26.067
- type: recall_at_1000
value: 62.019000000000005
- type: recall_at_3
value: 7.381
- type: recall_at_5
value: 9.678
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 7.621
- type: map_at_10
value: 13.205
- type: map_at_100
value: 14.377999999999998
- type: map_at_1000
value: 14.488000000000001
- type: map_at_3
value: 10.835
- type: map_at_5
value: 12.056000000000001
- type: mrr_at_1
value: 8.72
- type: mrr_at_10
value: 14.746
- type: mrr_at_100
value: 15.814
- type: mrr_at_1000
value: 15.903
- type: mrr_at_3
value: 12.205
- type: mrr_at_5
value: 13.526
- type: ndcg_at_1
value: 8.72
- type: ndcg_at_10
value: 17.230999999999998
- type: ndcg_at_100
value: 23.157
- type: ndcg_at_1000
value: 26.11
- type: ndcg_at_3
value: 12.215
- type: ndcg_at_5
value: 14.448
- type: precision_at_1
value: 8.72
- type: precision_at_10
value: 3.3489999999999998
- type: precision_at_100
value: 0.6689999999999999
- type: precision_at_1000
value: 0.095
- type: precision_at_3
value: 5.765
- type: precision_at_5
value: 4.71
- type: recall_at_1
value: 7.621
- type: recall_at_10
value: 28.346
- type: recall_at_100
value: 55.905
- type: recall_at_1000
value: 78.568
- type: recall_at_3
value: 14.888000000000002
- type: recall_at_5
value: 20.119
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 64.12400000000001
- type: map_at_10
value: 77.009
- type: map_at_100
value: 77.77
- type: map_at_1000
value: 77.803
- type: map_at_3
value: 74.05000000000001
- type: map_at_5
value: 75.846
- type: mrr_at_1
value: 73.78
- type: mrr_at_10
value: 80.87100000000001
- type: mrr_at_100
value: 81.109
- type: mrr_at_1000
value: 81.114
- type: mrr_at_3
value: 79.415
- type: mrr_at_5
value: 80.345
- type: ndcg_at_1
value: 73.81
- type: ndcg_at_10
value: 81.50699999999999
- type: ndcg_at_100
value: 83.518
- type: ndcg_at_1000
value: 83.868
- type: ndcg_at_3
value: 77.96600000000001
- type: ndcg_at_5
value: 79.794
- type: precision_at_1
value: 73.81
- type: precision_at_10
value: 12.367
- type: precision_at_100
value: 1.469
- type: precision_at_1000
value: 0.155
- type: precision_at_3
value: 33.94
- type: precision_at_5
value: 22.438
- type: recall_at_1
value: 64.12400000000001
- type: recall_at_10
value: 90.283
- type: recall_at_100
value: 97.76
- type: recall_at_1000
value: 99.714
- type: recall_at_3
value: 80.15299999999999
- type: recall_at_5
value: 85.208
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 44.162118605127525
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 46.70881745207942
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.2030000000000003
- type: map_at_10
value: 7.474
- type: map_at_100
value: 8.898
- type: map_at_1000
value: 9.168
- type: map_at_3
value: 5.45
- type: map_at_5
value: 6.363
- type: mrr_at_1
value: 15.7
- type: mrr_at_10
value: 23.682
- type: mrr_at_100
value: 24.855
- type: mrr_at_1000
value: 24.939
- type: mrr_at_3
value: 20.782999999999998
- type: mrr_at_5
value: 22.208
- type: ndcg_at_1
value: 15.7
- type: ndcg_at_10
value: 13.235
- type: ndcg_at_100
value: 19.679
- type: ndcg_at_1000
value: 25.088
- type: ndcg_at_3
value: 12.394
- type: ndcg_at_5
value: 10.717
- type: precision_at_1
value: 15.7
- type: precision_at_10
value: 6.909999999999999
- type: precision_at_100
value: 1.633
- type: precision_at_1000
value: 0.294
- type: precision_at_3
value: 11.466999999999999
- type: precision_at_5
value: 9.28
- type: recall_at_1
value: 3.2030000000000003
- type: recall_at_10
value: 14.002999999999998
- type: recall_at_100
value: 33.12
- type: recall_at_1000
value: 59.675
- type: recall_at_3
value: 6.978
- type: recall_at_5
value: 9.388
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 76.64379518764505
- type: cos_sim_spearman
value: 65.03593875325868
- type: euclidean_pearson
value: 71.30716734159877
- type: euclidean_spearman
value: 65.0358725107667
- type: manhattan_pearson
value: 69.64008883410301
- type: manhattan_spearman
value: 64.1709357952613
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 76.10760678507381
- type: cos_sim_spearman
value: 68.35350054782432
- type: euclidean_pearson
value: 72.65776988973283
- type: euclidean_spearman
value: 68.35478315887251
- type: manhattan_pearson
value: 70.5706666450866
- type: manhattan_spearman
value: 67.13814826706063
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 75.32161265212544
- type: cos_sim_spearman
value: 76.93198204035276
- type: euclidean_pearson
value: 76.60126151642021
- type: euclidean_spearman
value: 76.93199423707081
- type: manhattan_pearson
value: 76.5056121876099
- type: manhattan_spearman
value: 76.86184669371214
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 77.10524062982039
- type: cos_sim_spearman
value: 72.59969217378233
- type: euclidean_pearson
value: 76.10064294747684
- type: euclidean_spearman
value: 72.59968248507782
- type: manhattan_pearson
value: 75.2538128834374
- type: manhattan_spearman
value: 72.14612849441266
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 79.92563014030377
- type: cos_sim_spearman
value: 80.98166673776733
- type: euclidean_pearson
value: 80.9596078291122
- type: euclidean_spearman
value: 80.9816574633563
- type: manhattan_pearson
value: 79.89230536933664
- type: manhattan_spearman
value: 80.00574493608646
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 74.19795257280954
- type: cos_sim_spearman
value: 75.43790136296928
- type: euclidean_pearson
value: 75.57117891505544
- type: euclidean_spearman
value: 75.43845178483879
- type: manhattan_pearson
value: 75.41513445680592
- type: manhattan_spearman
value: 75.38085076755232
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 82.61027585526848
- type: cos_sim_spearman
value: 83.72082588978941
- type: euclidean_pearson
value: 83.72701589311066
- type: euclidean_spearman
value: 83.7217002176894
- type: manhattan_pearson
value: 83.24293225606534
- type: manhattan_spearman
value: 83.4135678831862
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 64.42651773313223
- type: cos_sim_spearman
value: 61.7038845289896
- type: euclidean_pearson
value: 64.54756406367291
- type: euclidean_spearman
value: 61.7038845289896
- type: manhattan_pearson
value: 63.51018692682091
- type: manhattan_spearman
value: 60.45964817925399
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 75.55989105968095
- type: cos_sim_spearman
value: 73.7042941496097
- type: euclidean_pearson
value: 75.91151565422992
- type: euclidean_spearman
value: 73.70428269603238
- type: manhattan_pearson
value: 75.4126729336794
- type: manhattan_spearman
value: 73.5240782951808
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 74.49865014688187
- type: mrr
value: 91.71895823856607
- 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: 41.848
- type: map_at_100
value: 42.909000000000006
- type: map_at_1000
value: 42.981
- type: map_at_3
value: 39.389
- type: map_at_5
value: 41.031
- type: mrr_at_1
value: 35.333
- type: mrr_at_10
value: 43.641000000000005
- type: mrr_at_100
value: 44.539
- type: mrr_at_1000
value: 44.603
- type: mrr_at_3
value: 41.611
- type: mrr_at_5
value: 42.943999999999996
- type: ndcg_at_1
value: 35.333
- type: ndcg_at_10
value: 46.452
- type: ndcg_at_100
value: 51.7
- type: ndcg_at_1000
value: 53.622
- type: ndcg_at_3
value: 41.833
- type: ndcg_at_5
value: 44.553
- type: precision_at_1
value: 35.333
- type: precision_at_10
value: 6.4670000000000005
- type: precision_at_100
value: 0.947
- type: precision_at_1000
value: 0.11100000000000002
- type: precision_at_3
value: 16.667
- type: precision_at_5
value: 11.533
- type: recall_at_1
value: 33.306000000000004
- type: recall_at_10
value: 59
- type: recall_at_100
value: 83.556
- type: recall_at_1000
value: 98.6
- type: recall_at_3
value: 46.639
- type: recall_at_5
value: 53.306
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.69108910891089
- type: cos_sim_ap
value: 90.4977489865437
- type: cos_sim_f1
value: 83.7493632195619
- type: cos_sim_precision
value: 85.35825545171339
- type: cos_sim_recall
value: 82.19999999999999
- type: dot_accuracy
value: 99.69108910891089
- type: dot_ap
value: 90.4977489865437
- type: dot_f1
value: 83.7493632195619
- type: dot_precision
value: 85.35825545171339
- type: dot_recall
value: 82.19999999999999
- type: euclidean_accuracy
value: 99.69108910891089
- type: euclidean_ap
value: 90.4977489865437
- type: euclidean_f1
value: 83.7493632195619
- type: euclidean_precision
value: 85.35825545171339
- type: euclidean_recall
value: 82.19999999999999
- type: manhattan_accuracy
value: 99.70792079207921
- type: manhattan_ap
value: 91.16860160199867
- type: manhattan_f1
value: 84.73874806001035
- type: manhattan_precision
value: 87.78135048231512
- type: manhattan_recall
value: 81.89999999999999
- type: max_accuracy
value: 99.70792079207921
- type: max_ap
value: 91.16860160199867
- type: max_f1
value: 84.73874806001035
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 43.35434708006249
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 31.335469165398756
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 41.97374025833599
- type: mrr
value: 42.262077179356595
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.976845934718288
- type: cos_sim_spearman
value: 31.683535959644406
- type: dot_pearson
value: 30.97684544705739
- type: dot_spearman
value: 31.732556691703294
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.109
- type: map_at_10
value: 0.893
- type: map_at_100
value: 5.261
- type: map_at_1000
value: 13.122
- type: map_at_3
value: 0.317
- type: map_at_5
value: 0.488
- type: mrr_at_1
value: 46
- type: mrr_at_10
value: 62.352
- type: mrr_at_100
value: 62.941
- type: mrr_at_1000
value: 62.941
- type: mrr_at_3
value: 60
- type: mrr_at_5
value: 61.4
- type: ndcg_at_1
value: 38
- type: ndcg_at_10
value: 42.480000000000004
- type: ndcg_at_100
value: 34.835
- type: ndcg_at_1000
value: 32.592
- type: ndcg_at_3
value: 44.665
- type: ndcg_at_5
value: 43.911
- type: precision_at_1
value: 44
- type: precision_at_10
value: 46.800000000000004
- type: precision_at_100
value: 37.4
- type: precision_at_1000
value: 15.918
- type: precision_at_3
value: 51.333
- type: precision_at_5
value: 49.2
- type: recall_at_1
value: 0.109
- type: recall_at_10
value: 1.154
- type: recall_at_100
value: 8.389000000000001
- type: recall_at_1000
value: 32.096000000000004
- type: recall_at_3
value: 0.387
- type: recall_at_5
value: 0.612
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.7489999999999999
- type: map_at_10
value: 7.498
- type: map_at_100
value: 13.675
- type: map_at_1000
value: 15.379999999999999
- type: map_at_3
value: 4.073
- type: map_at_5
value: 5.575
- type: mrr_at_1
value: 24.490000000000002
- type: mrr_at_10
value: 39.521
- type: mrr_at_100
value: 40.63
- type: mrr_at_1000
value: 40.63
- type: mrr_at_3
value: 35.034
- type: mrr_at_5
value: 36.870999999999995
- type: ndcg_at_1
value: 23.469
- type: ndcg_at_10
value: 20.269000000000002
- type: ndcg_at_100
value: 34.174
- type: ndcg_at_1000
value: 46.137
- type: ndcg_at_3
value: 22.977
- type: ndcg_at_5
value: 21.604
- type: precision_at_1
value: 24.490000000000002
- type: precision_at_10
value: 18.776
- type: precision_at_100
value: 7.939
- type: precision_at_1000
value: 1.555
- type: precision_at_3
value: 25.169999999999998
- type: precision_at_5
value: 22.857
- type: recall_at_1
value: 1.7489999999999999
- type: recall_at_10
value: 13.354
- type: recall_at_100
value: 48.303000000000004
- type: recall_at_1000
value: 84.65
- type: recall_at_3
value: 5.293
- type: recall_at_5
value: 7.994
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 71.8018
- type: ap
value: 14.536819438052662
- type: f1
value: 55.19152517845791
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 53.52574985851726
- type: f1
value: 53.69703116168891
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 38.1774041110333
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 81.9991655242296
- type: cos_sim_ap
value: 58.53652893055794
- type: cos_sim_f1
value: 56.55495317890586
- type: cos_sim_precision
value: 53.051317614424406
- type: cos_sim_recall
value: 60.554089709762536
- type: dot_accuracy
value: 81.9991655242296
- type: dot_ap
value: 58.53652893055794
- type: dot_f1
value: 56.55495317890586
- type: dot_precision
value: 53.051317614424406
- type: dot_recall
value: 60.554089709762536
- type: euclidean_accuracy
value: 81.9991655242296
- type: euclidean_ap
value: 58.53652809144572
- type: euclidean_f1
value: 56.55495317890586
- type: euclidean_precision
value: 53.051317614424406
- type: euclidean_recall
value: 60.554089709762536
- type: manhattan_accuracy
value: 81.55808547416106
- type: manhattan_ap
value: 56.9619587668482
- type: manhattan_f1
value: 55.47429078014184
- type: manhattan_precision
value: 47.82193351165457
- type: manhattan_recall
value: 66.04221635883904
- type: max_accuracy
value: 81.9991655242296
- type: max_ap
value: 58.53652893055794
- type: max_f1
value: 56.55495317890586
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 86.946481934257
- type: cos_sim_ap
value: 81.66664549248112
- type: cos_sim_f1
value: 74.09368335907051
- type: cos_sim_precision
value: 70.90781140042223
- type: cos_sim_recall
value: 77.57930397289806
- type: dot_accuracy
value: 86.946481934257
- type: dot_ap
value: 81.66664549326697
- type: dot_f1
value: 74.09368335907051
- type: dot_precision
value: 70.90781140042223
- type: dot_recall
value: 77.57930397289806
- type: euclidean_accuracy
value: 86.946481934257
- type: euclidean_ap
value: 81.66664561833119
- type: euclidean_f1
value: 74.09368335907051
- type: euclidean_precision
value: 70.90781140042223
- type: euclidean_recall
value: 77.57930397289806
- type: manhattan_accuracy
value: 86.89602980556526
- type: manhattan_ap
value: 81.68402162687751
- type: manhattan_f1
value: 73.93715341959334
- type: manhattan_precision
value: 71.11363959607453
- type: manhattan_recall
value: 76.9941484447182
- type: max_accuracy
value: 86.946481934257
- type: max_ap
value: 81.68402162687751
- type: max_f1
value: 74.09368335907051