metadata
tags:
- mteb
model-index:
- name: mpnet_main_wordPCA
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 66.43283582089553
- type: ap
value: 30.29663133704438
- type: f1
value: 60.96548204994961
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 65.5157
- type: ap
value: 60.635968290391354
- type: f1
value: 65.22797046096731
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 33.018
- type: f1
value: 32.56614947751552
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 20.768
- type: map_at_10
value: 33.792
- type: map_at_100
value: 34.961
- type: map_at_1000
value: 35.001
- type: map_at_3
value: 29.942999999999998
- type: map_at_5
value: 31.941999999999997
- type: mrr_at_1
value: 21.124000000000002
- type: mrr_at_10
value: 33.954
- type: mrr_at_100
value: 35.124
- type: mrr_at_1000
value: 35.164
- type: mrr_at_3
value: 30.133
- type: mrr_at_5
value: 32.082
- type: ndcg_at_1
value: 20.768
- type: ndcg_at_10
value: 41.001
- type: ndcg_at_100
value: 46.556
- type: ndcg_at_1000
value: 47.671
- type: ndcg_at_3
value: 32.938
- type: ndcg_at_5
value: 36.571
- type: precision_at_1
value: 20.768
- type: precision_at_10
value: 6.4079999999999995
- type: precision_at_100
value: 0.897
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 13.869000000000002
- type: precision_at_5
value: 10.100000000000001
- type: recall_at_1
value: 20.768
- type: recall_at_10
value: 64.083
- type: recall_at_100
value: 89.687
- type: recall_at_1000
value: 98.578
- type: recall_at_3
value: 41.607
- type: recall_at_5
value: 50.498
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 35.53339688014046
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 26.894818446313483
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 54.07897208491808
- type: mrr
value: 68.92175614474783
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 72.13906525048021
- type: cos_sim_spearman
value: 71.55223277580176
- type: euclidean_pearson
value: 72.00248024168417
- type: euclidean_spearman
value: 71.55223277580176
- type: manhattan_pearson
value: 72.96802825988968
- type: manhattan_spearman
value: 72.66912569484411
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 70.05194805194805
- type: f1
value: 68.84496347971877
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 33.41380417466471
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 24.417788232051212
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 20.139000000000003
- type: map_at_10
value: 27.015
- type: map_at_100
value: 28.132
- type: map_at_1000
value: 28.301
- type: map_at_3
value: 24.740000000000002
- type: map_at_5
value: 25.672
- type: mrr_at_1
value: 25.607999999999997
- type: mrr_at_10
value: 32.143
- type: mrr_at_100
value: 32.979
- type: mrr_at_1000
value: 33.062999999999995
- type: mrr_at_3
value: 30.067
- type: mrr_at_5
value: 30.875000000000004
- type: ndcg_at_1
value: 25.607999999999997
- type: ndcg_at_10
value: 31.913999999999998
- type: ndcg_at_100
value: 36.853
- type: ndcg_at_1000
value: 40.189
- type: ndcg_at_3
value: 28.214
- type: ndcg_at_5
value: 29.185
- type: precision_at_1
value: 25.607999999999997
- type: precision_at_10
value: 6.252000000000001
- type: precision_at_100
value: 1.11
- type: precision_at_1000
value: 0.179
- type: precision_at_3
value: 13.591000000000001
- type: precision_at_5
value: 9.585
- type: recall_at_1
value: 20.139000000000003
- type: recall_at_10
value: 41.065000000000005
- type: recall_at_100
value: 62.966
- type: recall_at_1000
value: 85.545
- type: recall_at_3
value: 29.331000000000003
- type: recall_at_5
value: 32.532
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 14.366000000000001
- type: map_at_10
value: 19.827
- type: map_at_100
value: 20.727999999999998
- type: map_at_1000
value: 20.854
- type: map_at_3
value: 17.957
- type: map_at_5
value: 18.961
- type: mrr_at_1
value: 18.471
- type: mrr_at_10
value: 23.778
- type: mrr_at_100
value: 24.58
- type: mrr_at_1000
value: 24.661
- type: mrr_at_3
value: 21.847
- type: mrr_at_5
value: 22.872999999999998
- type: ndcg_at_1
value: 18.471
- type: ndcg_at_10
value: 23.555
- type: ndcg_at_100
value: 27.755000000000003
- type: ndcg_at_1000
value: 30.739
- type: ndcg_at_3
value: 20.371
- type: ndcg_at_5
value: 21.739
- type: precision_at_1
value: 18.471
- type: precision_at_10
value: 4.516
- type: precision_at_100
value: 0.832
- type: precision_at_1000
value: 0.132
- type: precision_at_3
value: 9.851
- type: precision_at_5
value: 7.172000000000001
- type: recall_at_1
value: 14.366000000000001
- type: recall_at_10
value: 30.819999999999997
- type: recall_at_100
value: 49.303999999999995
- type: recall_at_1000
value: 69.975
- type: recall_at_3
value: 21.397
- type: recall_at_5
value: 25.223000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 23.610999999999997
- type: map_at_10
value: 31.745
- type: map_at_100
value: 32.844
- type: map_at_1000
value: 32.940999999999995
- type: map_at_3
value: 29.110000000000003
- type: map_at_5
value: 30.695
- type: mrr_at_1
value: 27.586
- type: mrr_at_10
value: 34.809
- type: mrr_at_100
value: 35.745
- type: mrr_at_1000
value: 35.806
- type: mrr_at_3
value: 32.414
- type: mrr_at_5
value: 33.839999999999996
- type: ndcg_at_1
value: 27.586
- type: ndcg_at_10
value: 36.369
- type: ndcg_at_100
value: 41.743
- type: ndcg_at_1000
value: 44.01
- type: ndcg_at_3
value: 31.551000000000002
- type: ndcg_at_5
value: 34.048
- type: precision_at_1
value: 27.586
- type: precision_at_10
value: 5.994
- type: precision_at_100
value: 0.958
- type: precision_at_1000
value: 0.123
- type: precision_at_3
value: 14.023
- type: precision_at_5
value: 10.006
- type: recall_at_1
value: 23.610999999999997
- type: recall_at_10
value: 47.532999999999994
- type: recall_at_100
value: 71.89
- type: recall_at_1000
value: 88.469
- type: recall_at_3
value: 34.624
- type: recall_at_5
value: 40.760000000000005
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 10.452
- type: map_at_10
value: 14.865
- type: map_at_100
value: 15.709000000000001
- type: map_at_1000
value: 15.818999999999999
- type: map_at_3
value: 13.131
- type: map_at_5
value: 13.935
- type: mrr_at_1
value: 11.299
- type: mrr_at_10
value: 15.856
- type: mrr_at_100
value: 16.727
- type: mrr_at_1000
value: 16.817999999999998
- type: mrr_at_3
value: 14.143
- type: mrr_at_5
value: 14.962
- type: ndcg_at_1
value: 11.299
- type: ndcg_at_10
value: 17.807000000000002
- type: ndcg_at_100
value: 22.542
- type: ndcg_at_1000
value: 25.871
- type: ndcg_at_3
value: 14.277999999999999
- type: ndcg_at_5
value: 15.689
- type: precision_at_1
value: 11.299
- type: precision_at_10
value: 2.994
- type: precision_at_100
value: 0.571
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 6.177
- type: precision_at_5
value: 4.542
- type: recall_at_1
value: 10.452
- type: recall_at_10
value: 26.043
- type: recall_at_100
value: 48.955
- type: recall_at_1000
value: 75.03999999999999
- type: recall_at_3
value: 16.384
- type: recall_at_5
value: 19.819
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 5.7700000000000005
- type: map_at_10
value: 9.113
- type: map_at_100
value: 9.969999999999999
- type: map_at_1000
value: 10.086
- type: map_at_3
value: 7.797
- type: map_at_5
value: 8.512
- type: mrr_at_1
value: 7.463
- type: mrr_at_10
value: 11.491
- type: mrr_at_100
value: 12.354
- type: mrr_at_1000
value: 12.443999999999999
- type: mrr_at_3
value: 9.866999999999999
- type: mrr_at_5
value: 10.738
- type: ndcg_at_1
value: 7.463
- type: ndcg_at_10
value: 11.759
- type: ndcg_at_100
value: 16.364
- type: ndcg_at_1000
value: 19.614
- type: ndcg_at_3
value: 9.043
- type: ndcg_at_5
value: 10.25
- type: precision_at_1
value: 7.463
- type: precision_at_10
value: 2.363
- type: precision_at_100
value: 0.553
- type: precision_at_1000
value: 0.097
- type: precision_at_3
value: 4.436
- type: precision_at_5
value: 3.458
- type: recall_at_1
value: 5.7700000000000005
- type: recall_at_10
value: 17.69
- type: recall_at_100
value: 38.624
- type: recall_at_1000
value: 62.425
- type: recall_at_3
value: 10.281
- type: recall_at_5
value: 13.221
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 15.049999999999999
- type: map_at_10
value: 20.639
- type: map_at_100
value: 21.806
- type: map_at_1000
value: 21.953
- type: map_at_3
value: 18.549
- type: map_at_5
value: 19.686
- type: mrr_at_1
value: 18.864
- type: mrr_at_10
value: 24.948999999999998
- type: mrr_at_100
value: 25.933
- type: mrr_at_1000
value: 26.023000000000003
- type: mrr_at_3
value: 22.794
- type: mrr_at_5
value: 24.07
- type: ndcg_at_1
value: 18.864
- type: ndcg_at_10
value: 24.877
- type: ndcg_at_100
value: 30.705
- type: ndcg_at_1000
value: 34.195
- type: ndcg_at_3
value: 21.112000000000002
- type: ndcg_at_5
value: 22.895
- type: precision_at_1
value: 18.864
- type: precision_at_10
value: 4.793
- type: precision_at_100
value: 0.9390000000000001
- type: precision_at_1000
value: 0.14400000000000002
- type: precision_at_3
value: 10.106
- type: precision_at_5
value: 7.603
- type: recall_at_1
value: 15.049999999999999
- type: recall_at_10
value: 33.466
- type: recall_at_100
value: 59.496
- type: recall_at_1000
value: 84.101
- type: recall_at_3
value: 22.948
- type: recall_at_5
value: 27.389999999999997
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 10.477
- type: map_at_10
value: 15.299
- type: map_at_100
value: 16.372
- type: map_at_1000
value: 16.521
- type: map_at_3
value: 13.3
- type: map_at_5
value: 14.306
- type: mrr_at_1
value: 13.242
- type: mrr_at_10
value: 18.465
- type: mrr_at_100
value: 19.387
- type: mrr_at_1000
value: 19.483
- type: mrr_at_3
value: 16.362
- type: mrr_at_5
value: 17.452
- type: ndcg_at_1
value: 13.242
- type: ndcg_at_10
value: 19.016
- type: ndcg_at_100
value: 24.556
- type: ndcg_at_1000
value: 28.205999999999996
- type: ndcg_at_3
value: 15.242
- type: ndcg_at_5
value: 16.802
- type: precision_at_1
value: 13.242
- type: precision_at_10
value: 3.8129999999999997
- type: precision_at_100
value: 0.796
- type: precision_at_1000
value: 0.131
- type: precision_at_3
value: 7.42
- type: precision_at_5
value: 5.639
- type: recall_at_1
value: 10.477
- type: recall_at_10
value: 27.250000000000004
- type: recall_at_100
value: 52.459
- type: recall_at_1000
value: 78.224
- type: recall_at_3
value: 16.663
- type: recall_at_5
value: 20.759
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 12.268416666666667
- type: map_at_10
value: 17.1725
- type: map_at_100
value: 18.108
- type: map_at_1000
value: 18.239833333333337
- type: map_at_3
value: 15.385916666666667
- type: map_at_5
value: 16.33808333333333
- type: mrr_at_1
value: 15.043583333333332
- type: mrr_at_10
value: 20.076749999999997
- type: mrr_at_100
value: 20.9225
- type: mrr_at_1000
value: 21.012833333333333
- type: mrr_at_3
value: 18.25883333333333
- type: mrr_at_5
value: 19.230083333333333
- type: ndcg_at_1
value: 15.043583333333332
- type: ndcg_at_10
value: 20.6305
- type: ndcg_at_100
value: 25.39741666666667
- type: ndcg_at_1000
value: 28.71625
- type: ndcg_at_3
value: 17.321416666666668
- type: ndcg_at_5
value: 18.781666666666666
- type: precision_at_1
value: 15.043583333333332
- type: precision_at_10
value: 3.8265000000000007
- type: precision_at_100
value: 0.7464166666666667
- type: precision_at_1000
value: 0.12216666666666667
- type: precision_at_3
value: 8.127416666666665
- type: precision_at_5
value: 5.986083333333333
- type: recall_at_1
value: 12.268416666666667
- type: recall_at_10
value: 28.25583333333333
- type: recall_at_100
value: 50.277833333333334
- type: recall_at_1000
value: 74.42433333333332
- type: recall_at_3
value: 18.861
- type: recall_at_5
value: 22.663416666666674
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 9.209
- type: map_at_10
value: 13.633999999999999
- type: map_at_100
value: 14.328
- type: map_at_1000
value: 14.418000000000001
- type: map_at_3
value: 11.828
- type: map_at_5
value: 12.812000000000001
- type: mrr_at_1
value: 11.043
- type: mrr_at_10
value: 15.639
- type: mrr_at_100
value: 16.349
- type: mrr_at_1000
value: 16.426
- type: mrr_at_3
value: 13.88
- type: mrr_at_5
value: 14.838999999999999
- type: ndcg_at_1
value: 11.043
- type: ndcg_at_10
value: 16.738
- type: ndcg_at_100
value: 20.541
- type: ndcg_at_1000
value: 23.237
- type: ndcg_at_3
value: 13.261999999999999
- type: ndcg_at_5
value: 14.89
- type: precision_at_1
value: 11.043
- type: precision_at_10
value: 3.052
- type: precision_at_100
value: 0.549
- type: precision_at_1000
value: 0.08499999999999999
- type: precision_at_3
value: 6.135
- type: precision_at_5
value: 4.693
- type: recall_at_1
value: 9.209
- type: recall_at_10
value: 24.581
- type: recall_at_100
value: 42.473
- type: recall_at_1000
value: 63.19200000000001
- type: recall_at_3
value: 14.901
- type: recall_at_5
value: 19.067
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 5.831
- type: map_at_10
value: 9.002
- type: map_at_100
value: 9.646
- type: map_at_1000
value: 9.769
- type: map_at_3
value: 7.949000000000001
- type: map_at_5
value: 8.484
- type: mrr_at_1
value: 7.811
- type: mrr_at_10
value: 11.218
- type: mrr_at_100
value: 11.902
- type: mrr_at_1000
value: 12.005
- type: mrr_at_3
value: 10.077
- type: mrr_at_5
value: 10.652000000000001
- type: ndcg_at_1
value: 7.811
- type: ndcg_at_10
value: 11.342
- type: ndcg_at_100
value: 15.045
- type: ndcg_at_1000
value: 18.703
- type: ndcg_at_3
value: 9.293
- type: ndcg_at_5
value: 10.126
- type: precision_at_1
value: 7.811
- type: precision_at_10
value: 2.213
- type: precision_at_100
value: 0.501
- type: precision_at_1000
value: 0.098
- type: precision_at_3
value: 4.565
- type: precision_at_5
value: 3.4070000000000005
- type: recall_at_1
value: 5.831
- type: recall_at_10
value: 16.456
- type: recall_at_100
value: 33.985
- type: recall_at_1000
value: 61.44500000000001
- type: recall_at_3
value: 10.578
- type: recall_at_5
value: 12.720999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 11.285
- type: map_at_10
value: 15.156
- type: map_at_100
value: 16.067999999999998
- type: map_at_1000
value: 16.189999999999998
- type: map_at_3
value: 13.806
- type: map_at_5
value: 14.471
- type: mrr_at_1
value: 13.899000000000001
- type: mrr_at_10
value: 18.291
- type: mrr_at_100
value: 19.141
- type: mrr_at_1000
value: 19.239
- type: mrr_at_3
value: 16.822
- type: mrr_at_5
value: 17.488999999999997
- type: ndcg_at_1
value: 13.899000000000001
- type: ndcg_at_10
value: 18.142
- type: ndcg_at_100
value: 23.116
- type: ndcg_at_1000
value: 26.406000000000002
- type: ndcg_at_3
value: 15.519
- type: ndcg_at_5
value: 16.502
- type: precision_at_1
value: 13.899000000000001
- type: precision_at_10
value: 3.125
- type: precision_at_100
value: 0.633
- type: precision_at_1000
value: 0.10300000000000001
- type: precision_at_3
value: 7.152
- type: precision_at_5
value: 4.981
- type: recall_at_1
value: 11.285
- type: recall_at_10
value: 24.481
- type: recall_at_100
value: 47.82
- type: recall_at_1000
value: 71.873
- type: recall_at_3
value: 16.954
- type: recall_at_5
value: 19.625999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 12.497
- type: map_at_10
value: 17.415
- type: map_at_100
value: 18.551000000000002
- type: map_at_1000
value: 18.759
- type: map_at_3
value: 15.648000000000001
- type: map_at_5
value: 16.685
- type: mrr_at_1
value: 15.809999999999999
- type: mrr_at_10
value: 20.74
- type: mrr_at_100
value: 21.657
- type: mrr_at_1000
value: 21.764
- type: mrr_at_3
value: 18.972
- type: mrr_at_5
value: 20.01
- type: ndcg_at_1
value: 15.809999999999999
- type: ndcg_at_10
value: 21.061
- type: ndcg_at_100
value: 26.150000000000002
- type: ndcg_at_1000
value: 30.381000000000004
- type: ndcg_at_3
value: 18.167
- type: ndcg_at_5
value: 19.599
- type: precision_at_1
value: 15.809999999999999
- type: precision_at_10
value: 4.289
- type: precision_at_100
value: 0.996
- type: precision_at_1000
value: 0.191
- type: precision_at_3
value: 8.959
- type: precision_at_5
value: 6.68
- type: recall_at_1
value: 12.497
- type: recall_at_10
value: 27.615000000000002
- type: recall_at_100
value: 52.063
- type: recall_at_1000
value: 81.321
- type: recall_at_3
value: 18.648
- type: recall_at_5
value: 22.808
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 8.534
- type: map_at_10
value: 12.36
- type: map_at_100
value: 13.142000000000001
- type: map_at_1000
value: 13.267000000000001
- type: map_at_3
value: 10.816
- type: map_at_5
value: 11.838
- type: mrr_at_1
value: 9.427000000000001
- type: mrr_at_10
value: 13.542000000000002
- type: mrr_at_100
value: 14.316
- type: mrr_at_1000
value: 14.421999999999999
- type: mrr_at_3
value: 11.860999999999999
- type: mrr_at_5
value: 12.961
- type: ndcg_at_1
value: 9.427000000000001
- type: ndcg_at_10
value: 14.985999999999999
- type: ndcg_at_100
value: 19.399
- type: ndcg_at_1000
value: 23.044
- type: ndcg_at_3
value: 11.805
- type: ndcg_at_5
value: 13.655000000000001
- type: precision_at_1
value: 9.427000000000001
- type: precision_at_10
value: 2.514
- type: precision_at_100
value: 0.519
- type: precision_at_1000
value: 0.092
- type: precision_at_3
value: 5.114
- type: precision_at_5
value: 4.067
- type: recall_at_1
value: 8.534
- type: recall_at_10
value: 22.07
- type: recall_at_100
value: 43.299
- type: recall_at_1000
value: 71.482
- type: recall_at_3
value: 13.623
- type: recall_at_5
value: 18.035
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 6.146999999999999
- type: map_at_10
value: 11.126
- type: map_at_100
value: 12.579
- type: map_at_1000
value: 12.791
- type: map_at_3
value: 9.035
- type: map_at_5
value: 10.111
- type: mrr_at_1
value: 13.941
- type: mrr_at_10
value: 22.84
- type: mrr_at_100
value: 24.03
- type: mrr_at_1000
value: 24.093999999999998
- type: mrr_at_3
value: 19.695999999999998
- type: mrr_at_5
value: 21.455
- type: ndcg_at_1
value: 13.941
- type: ndcg_at_10
value: 16.864
- type: ndcg_at_100
value: 23.701
- type: ndcg_at_1000
value: 27.817999999999998
- type: ndcg_at_3
value: 12.888
- type: ndcg_at_5
value: 14.359
- type: precision_at_1
value: 13.941
- type: precision_at_10
value: 5.6419999999999995
- type: precision_at_100
value: 1.298
- type: precision_at_1000
value: 0.20400000000000001
- type: precision_at_3
value: 10.011000000000001
- type: precision_at_5
value: 8.065
- type: recall_at_1
value: 6.146999999999999
- type: recall_at_10
value: 21.701
- type: recall_at_100
value: 46.117000000000004
- type: recall_at_1000
value: 69.64
- type: recall_at_3
value: 12.052999999999999
- type: recall_at_5
value: 15.956999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 3.2620000000000005
- type: map_at_10
value: 7.564
- type: map_at_100
value: 10.668999999999999
- type: map_at_1000
value: 11.533999999999999
- type: map_at_3
value: 5.322
- type: map_at_5
value: 6.135
- type: mrr_at_1
value: 36.5
- type: mrr_at_10
value: 45.622
- type: mrr_at_100
value: 46.312999999999995
- type: mrr_at_1000
value: 46.342
- type: mrr_at_3
value: 42.458
- type: mrr_at_5
value: 43.796
- type: ndcg_at_1
value: 26.125
- type: ndcg_at_10
value: 20.279
- type: ndcg_at_100
value: 23.253
- type: ndcg_at_1000
value: 29.804000000000002
- type: ndcg_at_3
value: 21.688
- type: ndcg_at_5
value: 20.203
- type: precision_at_1
value: 36.5
- type: precision_at_10
value: 18.45
- type: precision_at_100
value: 5.997
- type: precision_at_1000
value: 1.309
- type: precision_at_3
value: 26.25
- type: precision_at_5
value: 21.95
- type: recall_at_1
value: 3.2620000000000005
- type: recall_at_10
value: 12.374
- type: recall_at_100
value: 30.087000000000003
- type: recall_at_1000
value: 52.72599999999999
- type: recall_at_3
value: 6.393
- type: recall_at_5
value: 8.013
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 44.93000000000001
- type: f1
value: 40.84475902511729
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 12.41
- type: map_at_10
value: 18.831999999999997
- type: map_at_100
value: 19.747
- type: map_at_1000
value: 19.832
- type: map_at_3
value: 16.712
- type: map_at_5
value: 17.876
- type: mrr_at_1
value: 13.141
- type: mrr_at_10
value: 19.917
- type: mrr_at_100
value: 20.846999999999998
- type: mrr_at_1000
value: 20.924
- type: mrr_at_3
value: 17.737
- type: mrr_at_5
value: 18.948
- type: ndcg_at_1
value: 13.141
- type: ndcg_at_10
value: 22.787
- type: ndcg_at_100
value: 27.505000000000003
- type: ndcg_at_1000
value: 29.904999999999998
- type: ndcg_at_3
value: 18.41
- type: ndcg_at_5
value: 20.508000000000003
- type: precision_at_1
value: 13.141
- type: precision_at_10
value: 3.6929999999999996
- type: precision_at_100
value: 0.624
- type: precision_at_1000
value: 0.08499999999999999
- type: precision_at_3
value: 7.991
- type: precision_at_5
value: 5.869
- type: recall_at_1
value: 12.41
- type: recall_at_10
value: 34.211999999999996
- type: recall_at_100
value: 56.301
- type: recall_at_1000
value: 74.936
- type: recall_at_3
value: 22.283
- type: recall_at_5
value: 27.342
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 5.861000000000001
- type: map_at_10
value: 9.26
- type: map_at_100
value: 10.441
- type: map_at_1000
value: 10.642
- type: map_at_3
value: 8.008
- type: map_at_5
value: 8.674999999999999
- type: mrr_at_1
value: 11.574
- type: mrr_at_10
value: 16.729
- type: mrr_at_100
value: 17.842
- type: mrr_at_1000
value: 17.949
- type: mrr_at_3
value: 15.072
- type: mrr_at_5
value: 16.106
- type: ndcg_at_1
value: 11.574
- type: ndcg_at_10
value: 12.805
- type: ndcg_at_100
value: 18.877
- type: ndcg_at_1000
value: 23.662
- type: ndcg_at_3
value: 10.992
- type: ndcg_at_5
value: 11.677
- type: precision_at_1
value: 11.574
- type: precision_at_10
value: 3.673
- type: precision_at_100
value: 0.963
- type: precision_at_1000
value: 0.179
- type: precision_at_3
value: 7.407
- type: precision_at_5
value: 5.679
- type: recall_at_1
value: 5.861000000000001
- type: recall_at_10
value: 15.911
- type: recall_at_100
value: 40.158
- type: recall_at_1000
value: 70.295
- type: recall_at_3
value: 10.142
- type: recall_at_5
value: 12.509999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 13.794999999999998
- type: map_at_10
value: 19.573999999999998
- type: map_at_100
value: 20.363
- type: map_at_1000
value: 20.469
- type: map_at_3
value: 17.862000000000002
- type: map_at_5
value: 18.849
- type: mrr_at_1
value: 27.589000000000002
- type: mrr_at_10
value: 33.997
- type: mrr_at_100
value: 34.747
- type: mrr_at_1000
value: 34.812
- type: mrr_at_3
value: 32.163000000000004
- type: mrr_at_5
value: 33.265
- type: ndcg_at_1
value: 27.589000000000002
- type: ndcg_at_10
value: 25.413999999999998
- type: ndcg_at_100
value: 29.336000000000002
- type: ndcg_at_1000
value: 32.012
- type: ndcg_at_3
value: 22.093
- type: ndcg_at_5
value: 23.794999999999998
- type: precision_at_1
value: 27.589000000000002
- type: precision_at_10
value: 5.699
- type: precision_at_100
value: 0.886
- type: precision_at_1000
value: 0.124
- type: precision_at_3
value: 14.027000000000001
- type: precision_at_5
value: 9.766
- type: recall_at_1
value: 13.794999999999998
- type: recall_at_10
value: 28.494000000000003
- type: recall_at_100
value: 44.308
- type: recall_at_1000
value: 62.22800000000001
- type: recall_at_3
value: 21.04
- type: recall_at_5
value: 24.416
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 64.60480000000001
- type: ap
value: 59.727131414185166
- type: f1
value: 64.1072904179992
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 5.826
- type: map_at_10
value: 9.851
- type: map_at_100
value: 10.697
- type: map_at_1000
value: 10.803
- type: map_at_3
value: 8.238
- type: map_at_5
value: 9.104
- type: mrr_at_1
value: 6.046
- type: mrr_at_10
value: 10.134
- type: mrr_at_100
value: 10.987
- type: mrr_at_1000
value: 11.091
- type: mrr_at_3
value: 8.508000000000001
- type: mrr_at_5
value: 9.371
- type: ndcg_at_1
value: 6.046
- type: ndcg_at_10
value: 12.536
- type: ndcg_at_100
value: 17.187
- type: ndcg_at_1000
value: 20.371
- type: ndcg_at_3
value: 9.164
- type: ndcg_at_5
value: 10.725999999999999
- type: precision_at_1
value: 6.046
- type: precision_at_10
value: 2.175
- type: precision_at_100
value: 0.45799999999999996
- type: precision_at_1000
value: 0.073
- type: precision_at_3
value: 4.016
- type: precision_at_5
value: 3.206
- type: recall_at_1
value: 5.826
- type: recall_at_10
value: 20.926000000000002
- type: recall_at_100
value: 43.669000000000004
- type: recall_at_1000
value: 69.247
- type: recall_at_3
value: 11.609
- type: recall_at_5
value: 15.376999999999999
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 88.16689466484269
- type: f1
value: 87.5981029414324
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 55.33515731874146
- type: f1
value: 37.77464057733795
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 62.044384667115004
- type: f1
value: 60.29405543040358
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 71.21721587088096
- type: f1
value: 69.8224169927227
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 29.09923884257758
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 27.58464252003336
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 29.685278831397703
- type: mrr
value: 30.52917269137772
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 4.274
- type: map_at_10
value: 7.764
- type: map_at_100
value: 10.043000000000001
- type: map_at_1000
value: 11.394
- type: map_at_3
value: 5.887
- type: map_at_5
value: 6.761
- type: mrr_at_1
value: 33.745999999999995
- type: mrr_at_10
value: 42.836
- type: mrr_at_100
value: 43.701
- type: mrr_at_1000
value: 43.749
- type: mrr_at_3
value: 40.248
- type: mrr_at_5
value: 41.78
- type: ndcg_at_1
value: 31.734
- type: ndcg_at_10
value: 24.268
- type: ndcg_at_100
value: 23.801
- type: ndcg_at_1000
value: 33.347
- type: ndcg_at_3
value: 27.394000000000002
- type: ndcg_at_5
value: 26.312
- type: precision_at_1
value: 33.745999999999995
- type: precision_at_10
value: 17.802
- type: precision_at_100
value: 6.616
- type: precision_at_1000
value: 2.008
- type: precision_at_3
value: 25.8
- type: precision_at_5
value: 22.972
- type: recall_at_1
value: 4.274
- type: recall_at_10
value: 12.012
- type: recall_at_100
value: 26.706999999999997
- type: recall_at_1000
value: 60.634
- type: recall_at_3
value: 6.61
- type: recall_at_5
value: 8.545
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 8.519
- type: map_at_10
value: 14.407
- type: map_at_100
value: 15.607
- type: map_at_1000
value: 15.705
- type: map_at_3
value: 12.241
- type: map_at_5
value: 13.291
- type: mrr_at_1
value: 9.676
- type: mrr_at_10
value: 16.025
- type: mrr_at_100
value: 17.151
- type: mrr_at_1000
value: 17.233
- type: mrr_at_3
value: 13.783999999999999
- type: mrr_at_5
value: 14.875
- type: ndcg_at_1
value: 9.676
- type: ndcg_at_10
value: 18.439
- type: ndcg_at_100
value: 24.375
- type: ndcg_at_1000
value: 27.111
- type: ndcg_at_3
value: 13.862
- type: ndcg_at_5
value: 15.747
- type: precision_at_1
value: 9.676
- type: precision_at_10
value: 3.473
- type: precision_at_100
value: 0.681
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 6.615
- type: precision_at_5
value: 5.017
- type: recall_at_1
value: 8.519
- type: recall_at_10
value: 29.442
- type: recall_at_100
value: 56.704
- type: recall_at_1000
value: 77.827
- type: recall_at_3
value: 17.055
- type: recall_at_5
value: 21.454
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 63.114000000000004
- type: map_at_10
value: 75.723
- type: map_at_100
value: 76.50099999999999
- type: map_at_1000
value: 76.536
- type: map_at_3
value: 72.80499999999999
- type: map_at_5
value: 74.512
- type: mrr_at_1
value: 72.59
- type: mrr_at_10
value: 79.794
- type: mrr_at_100
value: 80.05499999999999
- type: mrr_at_1000
value: 80.061
- type: mrr_at_3
value: 78.333
- type: mrr_at_5
value: 79.244
- type: ndcg_at_1
value: 72.66
- type: ndcg_at_10
value: 80.306
- type: ndcg_at_100
value: 82.439
- type: ndcg_at_1000
value: 82.826
- type: ndcg_at_3
value: 76.72099999999999
- type: ndcg_at_5
value: 78.482
- type: precision_at_1
value: 72.66
- type: precision_at_10
value: 12.169
- type: precision_at_100
value: 1.4529999999999998
- type: precision_at_1000
value: 0.154
- type: precision_at_3
value: 33.267
- type: precision_at_5
value: 21.954
- type: recall_at_1
value: 63.114000000000004
- type: recall_at_10
value: 89.17699999999999
- type: recall_at_100
value: 97.208
- type: recall_at_1000
value: 99.39
- type: recall_at_3
value: 78.949
- type: recall_at_5
value: 83.848
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 36.72406468585852
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 43.472169436837376
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.6229999999999998
- type: map_at_10
value: 6.6290000000000004
- type: map_at_100
value: 8.052
- type: map_at_1000
value: 8.322000000000001
- type: map_at_3
value: 4.749
- type: map_at_5
value: 5.649
- type: mrr_at_1
value: 12.9
- type: mrr_at_10
value: 21.098
- type: mrr_at_100
value: 22.301000000000002
- type: mrr_at_1000
value: 22.391
- type: mrr_at_3
value: 18.099999999999998
- type: mrr_at_5
value: 19.615
- type: ndcg_at_1
value: 12.9
- type: ndcg_at_10
value: 12.031
- type: ndcg_at_100
value: 18.526
- type: ndcg_at_1000
value: 23.993000000000002
- type: ndcg_at_3
value: 10.894
- type: ndcg_at_5
value: 9.638
- type: precision_at_1
value: 12.9
- type: precision_at_10
value: 6.460000000000001
- type: precision_at_100
value: 1.598
- type: precision_at_1000
value: 0.292
- type: precision_at_3
value: 10.233
- type: precision_at_5
value: 8.559999999999999
- type: recall_at_1
value: 2.6229999999999998
- type: recall_at_10
value: 13.111999999999998
- type: recall_at_100
value: 32.418
- type: recall_at_1000
value: 59.24700000000001
- type: recall_at_3
value: 6.2330000000000005
- type: recall_at_5
value: 8.673
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 77.29221538383013
- type: cos_sim_spearman
value: 65.00237260316423
- type: euclidean_pearson
value: 71.97594877548565
- type: euclidean_spearman
value: 65.00224511756271
- type: manhattan_pearson
value: 70.69044074330846
- type: manhattan_spearman
value: 64.56188226107231
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 77.15455031153215
- type: cos_sim_spearman
value: 68.87516936019733
- type: euclidean_pearson
value: 74.40173366578063
- type: euclidean_spearman
value: 68.87649875376111
- type: manhattan_pearson
value: 71.37948083917088
- type: manhattan_spearman
value: 66.87593196817534
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 76.85372381398427
- type: cos_sim_spearman
value: 78.70991572075931
- type: euclidean_pearson
value: 78.02059239423504
- type: euclidean_spearman
value: 78.70995352760224
- type: manhattan_pearson
value: 77.29573198105021
- type: manhattan_spearman
value: 77.83698304986561
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 75.62945293081356
- type: cos_sim_spearman
value: 72.21402271266491
- type: euclidean_pearson
value: 74.8632992511187
- type: euclidean_spearman
value: 72.21401302442116
- type: manhattan_pearson
value: 74.12692290251161
- type: manhattan_spearman
value: 71.68132558277071
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 78.39263075496403
- type: cos_sim_spearman
value: 80.29205232773359
- type: euclidean_pearson
value: 79.98077838577872
- type: euclidean_spearman
value: 80.29205083786974
- type: manhattan_pearson
value: 79.40585067880913
- type: manhattan_spearman
value: 79.76402780723464
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 67.87975357523919
- type: cos_sim_spearman
value: 71.32759045416529
- type: euclidean_pearson
value: 71.38828468907693
- type: euclidean_spearman
value: 71.32841999853918
- type: manhattan_pearson
value: 71.52115254680312
- type: manhattan_spearman
value: 71.36502371568079
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 79.73783641527713
- type: cos_sim_spearman
value: 80.83877209500405
- type: euclidean_pearson
value: 80.9815305740776
- type: euclidean_spearman
value: 80.8396480829947
- type: manhattan_pearson
value: 80.20252699531369
- type: manhattan_spearman
value: 80.06981696234901
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 47.00304169592553
- type: cos_sim_spearman
value: 56.38544150292195
- type: euclidean_pearson
value: 53.01919280358667
- type: euclidean_spearman
value: 56.38544150292195
- type: manhattan_pearson
value: 51.65539290367504
- type: manhattan_spearman
value: 55.124846472764
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 71.91396118730897
- type: cos_sim_spearman
value: 70.00936285125462
- type: euclidean_pearson
value: 72.92234042209962
- type: euclidean_spearman
value: 70.00938132595871
- type: manhattan_pearson
value: 72.83606277528781
- type: manhattan_spearman
value: 70.11738672765205
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 74.41530407041719
- type: mrr
value: 91.4664184762224
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 31.667
- type: map_at_10
value: 40.327
- type: map_at_100
value: 41.29
- type: map_at_1000
value: 41.374
- type: map_at_3
value: 37.824000000000005
- type: map_at_5
value: 39.455
- type: mrr_at_1
value: 33.333
- type: mrr_at_10
value: 41.650999999999996
- type: mrr_at_100
value: 42.516
- type: mrr_at_1000
value: 42.586
- type: mrr_at_3
value: 39.333
- type: mrr_at_5
value: 40.967
- type: ndcg_at_1
value: 33.333
- type: ndcg_at_10
value: 44.955
- type: ndcg_at_100
value: 50.176
- type: ndcg_at_1000
value: 52.18000000000001
- type: ndcg_at_3
value: 40.233999999999995
- type: ndcg_at_5
value: 43.04
- type: precision_at_1
value: 33.333
- type: precision_at_10
value: 6.367000000000001
- type: precision_at_100
value: 0.9369999999999999
- type: precision_at_1000
value: 0.11100000000000002
- type: precision_at_3
value: 16.111
- type: precision_at_5
value: 11.267000000000001
- type: recall_at_1
value: 31.667
- type: recall_at_10
value: 57.778
- type: recall_at_100
value: 82.989
- type: recall_at_1000
value: 98.26700000000001
- type: recall_at_3
value: 45.639
- type: recall_at_5
value: 52.278000000000006
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.67029702970297
- type: cos_sim_ap
value: 89.07129165961199
- type: cos_sim_f1
value: 82.57537046499746
- type: cos_sim_precision
value: 84.43051201671892
- type: cos_sim_recall
value: 80.80000000000001
- type: dot_accuracy
value: 99.67029702970297
- type: dot_ap
value: 89.07129165961199
- type: dot_f1
value: 82.57537046499746
- type: dot_precision
value: 84.43051201671892
- type: dot_recall
value: 80.80000000000001
- type: euclidean_accuracy
value: 99.67029702970297
- type: euclidean_ap
value: 89.07129165961199
- type: euclidean_f1
value: 82.57537046499746
- type: euclidean_precision
value: 84.43051201671892
- type: euclidean_recall
value: 80.80000000000001
- type: manhattan_accuracy
value: 99.65643564356435
- type: manhattan_ap
value: 88.41137288354716
- type: manhattan_f1
value: 81.70347003154575
- type: manhattan_precision
value: 86.14190687361419
- type: manhattan_recall
value: 77.7
- type: max_accuracy
value: 99.67029702970297
- type: max_ap
value: 89.07129165961199
- type: max_f1
value: 82.57537046499746
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 41.60638325431974
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 29.664294828405303
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 42.25132223734513
- type: mrr
value: 42.64716492657669
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.69873203329748
- type: cos_sim_spearman
value: 30.504626278665437
- type: dot_pearson
value: 30.69873212465138
- type: dot_spearman
value: 30.576343071933813
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.152
- type: map_at_10
value: 1.0370000000000001
- type: map_at_100
value: 5.169
- type: map_at_1000
value: 11.804
- type: map_at_3
value: 0.367
- type: map_at_5
value: 0.557
- type: mrr_at_1
value: 62
- type: mrr_at_10
value: 72.786
- type: mrr_at_100
value: 73.009
- type: mrr_at_1000
value: 73.009
- type: mrr_at_3
value: 69
- type: mrr_at_5
value: 72
- type: ndcg_at_1
value: 56.99999999999999
- type: ndcg_at_10
value: 52.013
- type: ndcg_at_100
value: 36.669000000000004
- type: ndcg_at_1000
value: 31.721
- type: ndcg_at_3
value: 53.52
- type: ndcg_at_5
value: 52.54600000000001
- type: precision_at_1
value: 64
- type: precision_at_10
value: 57.4
- type: precision_at_100
value: 38.14
- type: precision_at_1000
value: 14.996
- type: precision_at_3
value: 58.667
- type: precision_at_5
value: 57.599999999999994
- type: recall_at_1
value: 0.152
- type: recall_at_10
value: 1.352
- type: recall_at_100
value: 8.392
- type: recall_at_1000
value: 30.470000000000002
- type: recall_at_3
value: 0.409
- type: recall_at_5
value: 0.661
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.165
- type: map_at_10
value: 4.088
- type: map_at_100
value: 7.378
- type: map_at_1000
value: 8.958
- type: map_at_3
value: 2.254
- type: map_at_5
value: 3.524
- type: mrr_at_1
value: 18.367
- type: mrr_at_10
value: 30.646
- type: mrr_at_100
value: 32.625
- type: mrr_at_1000
value: 32.661
- type: mrr_at_3
value: 26.871000000000002
- type: mrr_at_5
value: 30.238
- type: ndcg_at_1
value: 18.367
- type: ndcg_at_10
value: 13.061
- type: ndcg_at_100
value: 23.47
- type: ndcg_at_1000
value: 37.61
- type: ndcg_at_3
value: 15.546
- type: ndcg_at_5
value: 16.355
- type: precision_at_1
value: 18.367
- type: precision_at_10
value: 11.429
- type: precision_at_100
value: 5.653
- type: precision_at_1000
value: 1.451
- type: precision_at_3
value: 15.645999999999999
- type: precision_at_5
value: 17.551
- type: recall_at_1
value: 1.165
- type: recall_at_10
value: 8.018
- type: recall_at_100
value: 35.23
- type: recall_at_1000
value: 79.57600000000001
- type: recall_at_3
value: 3.076
- type: recall_at_5
value: 6.242
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 71.9568
- type: ap
value: 13.253846581305634
- type: f1
value: 54.324508660685645
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 55.39049235993209
- type: f1
value: 55.53656453466803
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 35.252056863048416
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 82.41640340942958
- type: cos_sim_ap
value: 61.46818116365959
- type: cos_sim_f1
value: 59.05859279235107
- type: cos_sim_precision
value: 55.151098901098905
- type: cos_sim_recall
value: 63.562005277044854
- type: dot_accuracy
value: 82.41640340942958
- type: dot_ap
value: 61.46818116365959
- type: dot_f1
value: 59.05859279235107
- type: dot_precision
value: 55.151098901098905
- type: dot_recall
value: 63.562005277044854
- type: euclidean_accuracy
value: 82.41640340942958
- type: euclidean_ap
value: 61.46818116365959
- type: euclidean_f1
value: 59.05859279235107
- type: euclidean_precision
value: 55.151098901098905
- type: euclidean_recall
value: 63.562005277044854
- type: manhattan_accuracy
value: 82.80979912976099
- type: manhattan_ap
value: 62.57319706784323
- type: manhattan_f1
value: 59.7376886909181
- type: manhattan_precision
value: 56.24417520969245
- type: manhattan_recall
value: 63.69393139841689
- type: max_accuracy
value: 82.80979912976099
- type: max_ap
value: 62.57319706784323
- type: max_f1
value: 59.7376886909181
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 86.4012108510886
- type: cos_sim_ap
value: 80.82375141067818
- type: cos_sim_f1
value: 72.80055190443339
- type: cos_sim_precision
value: 68.88614031471174
- type: cos_sim_recall
value: 77.18663381582999
- type: dot_accuracy
value: 86.4012108510886
- type: dot_ap
value: 80.82375193841179
- type: dot_f1
value: 72.80055190443339
- type: dot_precision
value: 68.88614031471174
- type: dot_recall
value: 77.18663381582999
- type: euclidean_accuracy
value: 86.4012108510886
- type: euclidean_ap
value: 80.82375158687223
- type: euclidean_f1
value: 72.80055190443339
- type: euclidean_precision
value: 68.88614031471174
- type: euclidean_recall
value: 77.18663381582999
- type: manhattan_accuracy
value: 86.5700314355571
- type: manhattan_ap
value: 81.24256901305888
- type: manhattan_f1
value: 73.30839356408673
- type: manhattan_precision
value: 69.38466827088347
- type: manhattan_recall
value: 77.70249461040962
- type: max_accuracy
value: 86.5700314355571
- type: max_ap
value: 81.24256901305888
- type: max_f1
value: 73.30839356408673