metadata
tags:
- mteb
model-index:
- name: >-
gte-base-en-v1.5_embs_nofiltering_sortlenTrue_phrase2sent_512_15epoch__adam0.001_accum1_best_epoch_2611200_bs128_result
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 75.02985074626866
- type: ap
value: 38.2391132433526
- type: f1
value: 69.06974168824816
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 74.00564999999999
- type: ap
value: 68.12255640587608
- type: f1
value: 73.88644324572483
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 39.46000000000001
- type: f1
value: 38.77579430134605
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 21.337
- type: map_at_10
value: 36.104
- type: map_at_100
value: 37.363
- type: map_at_1000
value: 37.38
- type: map_at_3
value: 31.46
- type: map_at_5
value: 33.861000000000004
- type: mrr_at_1
value: 22.119
- type: mrr_at_10
value: 36.379
- type: mrr_at_100
value: 37.644
- type: mrr_at_1000
value: 37.662
- type: mrr_at_3
value: 31.745
- type: mrr_at_5
value: 34.12
- type: ndcg_at_1
value: 21.337
- type: ndcg_at_10
value: 44.557
- type: ndcg_at_100
value: 50.072
- type: ndcg_at_1000
value: 50.499
- type: ndcg_at_3
value: 34.794000000000004
- type: ndcg_at_5
value: 39.125
- type: precision_at_1
value: 21.337
- type: precision_at_10
value: 7.176
- type: precision_at_100
value: 0.962
- type: precision_at_1000
value: 0.1
- type: precision_at_3
value: 14.817
- type: precision_at_5
value: 10.996
- type: recall_at_1
value: 21.337
- type: recall_at_10
value: 71.764
- type: recall_at_100
value: 96.23
- type: recall_at_1000
value: 99.502
- type: recall_at_3
value: 44.452000000000005
- type: recall_at_5
value: 54.979
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 38.36878876355172
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 28.19433994044647
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 54.16001797554904
- type: mrr
value: 67.81130457723256
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 82.1086837226076
- type: cos_sim_spearman
value: 80.60966807127197
- type: euclidean_pearson
value: 80.73535719827952
- type: euclidean_spearman
value: 80.60966807127197
- type: manhattan_pearson
value: 79.10544477221981
- type: manhattan_spearman
value: 79.59759681777079
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 75.1525974025974
- type: f1
value: 74.45181803662257
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 34.568758810321945
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 25.645931603960374
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 21.36
- type: map_at_10
value: 29.034
- type: map_at_100
value: 30.197000000000003
- type: map_at_1000
value: 30.36
- type: map_at_3
value: 26.334999999999997
- type: map_at_5
value: 27.894999999999996
- type: mrr_at_1
value: 27.325
- type: mrr_at_10
value: 34.975
- type: mrr_at_100
value: 35.787
- type: mrr_at_1000
value: 35.864000000000004
- type: mrr_at_3
value: 32.761
- type: mrr_at_5
value: 34.083999999999996
- type: ndcg_at_1
value: 27.325
- type: ndcg_at_10
value: 34.302
- type: ndcg_at_100
value: 39.35
- type: ndcg_at_1000
value: 42.516999999999996
- type: ndcg_at_3
value: 30.336000000000002
- type: ndcg_at_5
value: 32.234
- type: precision_at_1
value: 27.325
- type: precision_at_10
value: 6.694999999999999
- type: precision_at_100
value: 1.157
- type: precision_at_1000
value: 0.17500000000000002
- type: precision_at_3
value: 14.926
- type: precision_at_5
value: 11.044
- type: recall_at_1
value: 21.36
- type: recall_at_10
value: 43.64
- type: recall_at_100
value: 66.219
- type: recall_at_1000
value: 87.675
- type: recall_at_3
value: 31.34
- type: recall_at_5
value: 36.896
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 19.008
- type: map_at_10
value: 25.762
- type: map_at_100
value: 26.819
- type: map_at_1000
value: 26.944000000000003
- type: map_at_3
value: 23.688000000000002
- type: map_at_5
value: 24.844
- type: mrr_at_1
value: 24.204
- type: mrr_at_10
value: 30.325999999999997
- type: mrr_at_100
value: 31.151
- type: mrr_at_1000
value: 31.22
- type: mrr_at_3
value: 28.311999999999998
- type: mrr_at_5
value: 29.424
- type: ndcg_at_1
value: 24.204
- type: ndcg_at_10
value: 30.020999999999997
- type: ndcg_at_100
value: 34.632000000000005
- type: ndcg_at_1000
value: 37.462
- type: ndcg_at_3
value: 26.607999999999997
- type: ndcg_at_5
value: 28.105999999999998
- type: precision_at_1
value: 24.204
- type: precision_at_10
value: 5.624
- type: precision_at_100
value: 1.012
- type: precision_at_1000
value: 0.151
- type: precision_at_3
value: 12.887
- type: precision_at_5
value: 9.159
- type: recall_at_1
value: 19.008
- type: recall_at_10
value: 38.156
- type: recall_at_100
value: 58.158
- type: recall_at_1000
value: 77.471
- type: recall_at_3
value: 27.964
- type: recall_at_5
value: 32.221
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 27.833999999999996
- type: map_at_10
value: 36.896
- type: map_at_100
value: 38.002
- type: map_at_1000
value: 38.088
- type: map_at_3
value: 34.283
- type: map_at_5
value: 35.754999999999995
- type: mrr_at_1
value: 32.351
- type: mrr_at_10
value: 40.275
- type: mrr_at_100
value: 41.152
- type: mrr_at_1000
value: 41.204
- type: mrr_at_3
value: 37.973
- type: mrr_at_5
value: 39.242
- type: ndcg_at_1
value: 32.351
- type: ndcg_at_10
value: 41.867
- type: ndcg_at_100
value: 47.073
- type: ndcg_at_1000
value: 49.125
- type: ndcg_at_3
value: 37.129
- type: ndcg_at_5
value: 39.361000000000004
- type: precision_at_1
value: 32.351
- type: precision_at_10
value: 6.765000000000001
- type: precision_at_100
value: 1.0330000000000001
- type: precision_at_1000
value: 0.129
- type: precision_at_3
value: 16.489
- type: precision_at_5
value: 11.398
- type: recall_at_1
value: 27.833999999999996
- type: recall_at_10
value: 53.668000000000006
- type: recall_at_100
value: 77.114
- type: recall_at_1000
value: 92.131
- type: recall_at_3
value: 40.745
- type: recall_at_5
value: 46.375
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 12.863
- type: map_at_10
value: 17.881
- type: map_at_100
value: 18.742
- type: map_at_1000
value: 18.86
- type: map_at_3
value: 16.485
- type: map_at_5
value: 17.262
- type: mrr_at_1
value: 13.898
- type: mrr_at_10
value: 19.152
- type: mrr_at_100
value: 20.007
- type: mrr_at_1000
value: 20.116
- type: mrr_at_3
value: 17.759
- type: mrr_at_5
value: 18.544
- type: ndcg_at_1
value: 13.898
- type: ndcg_at_10
value: 20.818
- type: ndcg_at_100
value: 25.342
- type: ndcg_at_1000
value: 28.895
- type: ndcg_at_3
value: 18.034
- type: ndcg_at_5
value: 19.367
- type: precision_at_1
value: 13.898
- type: precision_at_10
value: 3.254
- type: precision_at_100
value: 0.582
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 7.8340000000000005
- type: precision_at_5
value: 5.446
- type: recall_at_1
value: 12.863
- type: recall_at_10
value: 28.636
- type: recall_at_100
value: 50.112
- type: recall_at_1000
value: 77.828
- type: recall_at_3
value: 21.087
- type: recall_at_5
value: 24.307000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 7.8020000000000005
- type: map_at_10
value: 11.673
- type: map_at_100
value: 12.462
- type: map_at_1000
value: 12.589
- type: map_at_3
value: 10.035
- type: map_at_5
value: 10.699
- type: mrr_at_1
value: 9.826
- type: mrr_at_10
value: 14.248
- type: mrr_at_100
value: 15.057
- type: mrr_at_1000
value: 15.156
- type: mrr_at_3
value: 12.5
- type: mrr_at_5
value: 13.221
- type: ndcg_at_1
value: 9.826
- type: ndcg_at_10
value: 14.818999999999999
- type: ndcg_at_100
value: 19.309
- type: ndcg_at_1000
value: 22.954
- type: ndcg_at_3
value: 11.535
- type: ndcg_at_5
value: 12.577
- type: precision_at_1
value: 9.826
- type: precision_at_10
value: 2.923
- type: precision_at_100
value: 0.618
- type: precision_at_1000
value: 0.105
- type: precision_at_3
value: 5.5969999999999995
- type: precision_at_5
value: 4.08
- type: recall_at_1
value: 7.8020000000000005
- type: recall_at_10
value: 22.141
- type: recall_at_100
value: 42.653999999999996
- type: recall_at_1000
value: 70.02199999999999
- type: recall_at_3
value: 13.020000000000001
- type: recall_at_5
value: 15.645999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 18.532
- type: map_at_10
value: 24.692
- type: map_at_100
value: 26.023000000000003
- type: map_at_1000
value: 26.165
- type: map_at_3
value: 22.522000000000002
- type: map_at_5
value: 23.694000000000003
- type: mrr_at_1
value: 22.618
- type: mrr_at_10
value: 29.334
- type: mrr_at_100
value: 30.348999999999997
- type: mrr_at_1000
value: 30.435000000000002
- type: mrr_at_3
value: 26.997
- type: mrr_at_5
value: 28.282
- type: ndcg_at_1
value: 22.618
- type: ndcg_at_10
value: 29.188
- type: ndcg_at_100
value: 35.213
- type: ndcg_at_1000
value: 38.471
- type: ndcg_at_3
value: 25.313999999999997
- type: ndcg_at_5
value: 27.057
- type: precision_at_1
value: 22.618
- type: precision_at_10
value: 5.38
- type: precision_at_100
value: 1
- type: precision_at_1000
value: 0.149
- type: precision_at_3
value: 11.741999999999999
- type: precision_at_5
value: 8.662
- type: recall_at_1
value: 18.532
- type: recall_at_10
value: 38.164
- type: recall_at_100
value: 64.197
- type: recall_at_1000
value: 86.75399999999999
- type: recall_at_3
value: 27.262999999999998
- type: recall_at_5
value: 31.651
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 15.257000000000001
- type: map_at_10
value: 20.762
- type: map_at_100
value: 21.956999999999997
- type: map_at_1000
value: 22.102
- type: map_at_3
value: 18.826999999999998
- type: map_at_5
value: 19.911
- type: mrr_at_1
value: 18.836
- type: mrr_at_10
value: 24.484
- type: mrr_at_100
value: 25.561
- type: mrr_at_1000
value: 25.651000000000003
- type: mrr_at_3
value: 22.546
- type: mrr_at_5
value: 23.613
- type: ndcg_at_1
value: 18.836
- type: ndcg_at_10
value: 24.465999999999998
- type: ndcg_at_100
value: 30.337999999999997
- type: ndcg_at_1000
value: 33.775
- type: ndcg_at_3
value: 21.029
- type: ndcg_at_5
value: 22.576
- type: precision_at_1
value: 18.836
- type: precision_at_10
value: 4.5089999999999995
- type: precision_at_100
value: 0.895
- type: precision_at_1000
value: 0.13799999999999998
- type: precision_at_3
value: 9.893
- type: precision_at_5
value: 7.146
- type: recall_at_1
value: 15.257000000000001
- type: recall_at_10
value: 32.062000000000005
- type: recall_at_100
value: 57.577
- type: recall_at_1000
value: 81.75
- type: recall_at_3
value: 22.579
- type: recall_at_5
value: 26.613999999999997
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 15.333916666666667
- type: map_at_10
value: 20.908583333333333
- type: map_at_100
value: 21.891333333333332
- type: map_at_1000
value: 22.02225
- type: map_at_3
value: 19.053833333333333
- type: map_at_5
value: 20.053916666666666
- type: mrr_at_1
value: 18.5485
- type: mrr_at_10
value: 24.15733333333333
- type: mrr_at_100
value: 25.01325
- type: mrr_at_1000
value: 25.101000000000003
- type: mrr_at_3
value: 22.34708333333333
- type: mrr_at_5
value: 23.317833333333336
- type: ndcg_at_1
value: 18.5485
- type: ndcg_at_10
value: 24.614
- type: ndcg_at_100
value: 29.431166666666662
- type: ndcg_at_1000
value: 32.6675
- type: ndcg_at_3
value: 21.285083333333336
- type: ndcg_at_5
value: 22.751416666666664
- type: precision_at_1
value: 18.5485
- type: precision_at_10
value: 4.4013333333333335
- type: precision_at_100
value: 0.8160000000000001
- type: precision_at_1000
value: 0.12825
- type: precision_at_3
value: 9.847916666666666
- type: precision_at_5
value: 7.069166666666668
- type: recall_at_1
value: 15.333916666666667
- type: recall_at_10
value: 32.5695
- type: recall_at_100
value: 54.50375
- type: recall_at_1000
value: 78.02300000000001
- type: recall_at_3
value: 23.115000000000002
- type: recall_at_5
value: 26.968416666666666
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 11.745
- type: map_at_10
value: 16.406000000000002
- type: map_at_100
value: 17.157
- type: map_at_1000
value: 17.249
- type: map_at_3
value: 14.835999999999999
- type: map_at_5
value: 15.803
- type: mrr_at_1
value: 13.804
- type: mrr_at_10
value: 18.55
- type: mrr_at_100
value: 19.306
- type: mrr_at_1000
value: 19.38
- type: mrr_at_3
value: 17.05
- type: mrr_at_5
value: 17.947
- type: ndcg_at_1
value: 13.804
- type: ndcg_at_10
value: 19.339000000000002
- type: ndcg_at_100
value: 23.624000000000002
- type: ndcg_at_1000
value: 26.301999999999996
- type: ndcg_at_3
value: 16.454
- type: ndcg_at_5
value: 17.999000000000002
- type: precision_at_1
value: 13.804
- type: precision_at_10
value: 3.282
- type: precision_at_100
value: 0.598
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 7.413
- type: precision_at_5
value: 5.428999999999999
- type: recall_at_1
value: 11.745
- type: recall_at_10
value: 26.255
- type: recall_at_100
value: 46.888000000000005
- type: recall_at_1000
value: 67.131
- type: recall_at_3
value: 18.434
- type: recall_at_5
value: 22.328
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 8.119
- type: map_at_10
value: 11.944
- type: map_at_100
value: 12.647
- type: map_at_1000
value: 12.770000000000001
- type: map_at_3
value: 10.612
- type: map_at_5
value: 11.292
- type: mrr_at_1
value: 10.22
- type: mrr_at_10
value: 14.496
- type: mrr_at_100
value: 15.18
- type: mrr_at_1000
value: 15.279000000000002
- type: mrr_at_3
value: 12.979
- type: mrr_at_5
value: 13.755
- type: ndcg_at_1
value: 10.22
- type: ndcg_at_10
value: 14.687
- type: ndcg_at_100
value: 18.543000000000003
- type: ndcg_at_1000
value: 22.099
- type: ndcg_at_3
value: 12.076
- type: ndcg_at_5
value: 13.161999999999999
- type: precision_at_1
value: 10.22
- type: precision_at_10
value: 2.822
- type: precision_at_100
value: 0.565
- type: precision_at_1000
value: 0.104
- type: precision_at_3
value: 5.781
- type: precision_at_5
value: 4.301
- type: recall_at_1
value: 8.119
- type: recall_at_10
value: 20.527
- type: recall_at_100
value: 38.719
- type: recall_at_1000
value: 65.16300000000001
- type: recall_at_3
value: 13.275
- type: recall_at_5
value: 15.998999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 13.334999999999999
- type: map_at_10
value: 18.194
- type: map_at_100
value: 19.049
- type: map_at_1000
value: 19.17
- type: map_at_3
value: 16.625
- type: map_at_5
value: 17.509
- type: mrr_at_1
value: 16.231
- type: mrr_at_10
value: 21.308
- type: mrr_at_100
value: 22.154
- type: mrr_at_1000
value: 22.25
- type: mrr_at_3
value: 19.761
- type: mrr_at_5
value: 20.567
- type: ndcg_at_1
value: 16.231
- type: ndcg_at_10
value: 21.525
- type: ndcg_at_100
value: 26.008
- type: ndcg_at_1000
value: 29.351
- type: ndcg_at_3
value: 18.54
- type: ndcg_at_5
value: 19.916
- type: precision_at_1
value: 16.231
- type: precision_at_10
value: 3.6470000000000002
- type: precision_at_100
value: 0.655
- type: precision_at_1000
value: 0.106
- type: precision_at_3
value: 8.488999999999999
- type: precision_at_5
value: 6.007
- type: recall_at_1
value: 13.334999999999999
- type: recall_at_10
value: 28.804999999999996
- type: recall_at_100
value: 49.303000000000004
- type: recall_at_1000
value: 73.95
- type: recall_at_3
value: 20.531
- type: recall_at_5
value: 24.067
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 16.002
- type: map_at_10
value: 21.282
- type: map_at_100
value: 22.518
- type: map_at_1000
value: 22.728
- type: map_at_3
value: 19.463
- type: map_at_5
value: 20.314
- type: mrr_at_1
value: 19.96
- type: mrr_at_10
value: 25.084
- type: mrr_at_100
value: 26.028000000000002
- type: mrr_at_1000
value: 26.119999999999997
- type: mrr_at_3
value: 23.352999999999998
- type: mrr_at_5
value: 24.203
- type: ndcg_at_1
value: 19.96
- type: ndcg_at_10
value: 25.275
- type: ndcg_at_100
value: 30.574
- type: ndcg_at_1000
value: 34.359
- type: ndcg_at_3
value: 22.281000000000002
- type: ndcg_at_5
value: 23.32
- type: precision_at_1
value: 19.96
- type: precision_at_10
value: 4.920999999999999
- type: precision_at_100
value: 1.1320000000000001
- type: precision_at_1000
value: 0.20400000000000001
- type: precision_at_3
value: 10.408000000000001
- type: precision_at_5
value: 7.352
- type: recall_at_1
value: 16.002
- type: recall_at_10
value: 32.452
- type: recall_at_100
value: 57.297
- type: recall_at_1000
value: 83.332
- type: recall_at_3
value: 23.101
- type: recall_at_5
value: 26.395999999999997
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 12.15
- type: map_at_10
value: 16.377
- type: map_at_100
value: 17.122999999999998
- type: map_at_1000
value: 17.241999999999997
- type: map_at_3
value: 14.935
- type: map_at_5
value: 15.669
- type: mrr_at_1
value: 13.309000000000001
- type: mrr_at_10
value: 17.656
- type: mrr_at_100
value: 18.427
- type: mrr_at_1000
value: 18.537
- type: mrr_at_3
value: 16.174
- type: mrr_at_5
value: 16.932
- type: ndcg_at_1
value: 13.309000000000001
- type: ndcg_at_10
value: 19.061
- type: ndcg_at_100
value: 23.168
- type: ndcg_at_1000
value: 26.700000000000003
- type: ndcg_at_3
value: 16.085
- type: ndcg_at_5
value: 17.342
- type: precision_at_1
value: 13.309000000000001
- type: precision_at_10
value: 2.994
- type: precision_at_100
value: 0.545
- type: precision_at_1000
value: 0.093
- type: precision_at_3
value: 6.715999999999999
- type: precision_at_5
value: 4.806
- type: recall_at_1
value: 12.15
- type: recall_at_10
value: 26.328000000000003
- type: recall_at_100
value: 45.806999999999995
- type: recall_at_1000
value: 73.06899999999999
- type: recall_at_3
value: 18.041
- type: recall_at_5
value: 21.121000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 7.675999999999999
- type: map_at_10
value: 13.600000000000001
- type: map_at_100
value: 15.287999999999998
- type: map_at_1000
value: 15.508
- type: map_at_3
value: 11.256
- type: map_at_5
value: 12.312
- type: mrr_at_1
value: 17.459
- type: mrr_at_10
value: 27.166
- type: mrr_at_100
value: 28.406
- type: mrr_at_1000
value: 28.464
- type: mrr_at_3
value: 23.931
- type: mrr_at_5
value: 25.66
- type: ndcg_at_1
value: 17.459
- type: ndcg_at_10
value: 20.146
- type: ndcg_at_100
value: 27.625
- type: ndcg_at_1000
value: 31.819999999999997
- type: ndcg_at_3
value: 15.870999999999999
- type: ndcg_at_5
value: 17.158
- type: precision_at_1
value: 17.459
- type: precision_at_10
value: 6.638
- type: precision_at_100
value: 1.4569999999999999
- type: precision_at_1000
value: 0.22300000000000003
- type: precision_at_3
value: 12.074
- type: precision_at_5
value: 9.407
- type: recall_at_1
value: 7.675999999999999
- type: recall_at_10
value: 25.267
- type: recall_at_100
value: 51.69200000000001
- type: recall_at_1000
value: 75.58
- type: recall_at_3
value: 14.901
- type: recall_at_5
value: 18.543000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 4.424
- type: map_at_10
value: 10.278
- type: map_at_100
value: 14.516000000000002
- type: map_at_1000
value: 15.584999999999999
- type: map_at_3
value: 7.179
- type: map_at_5
value: 8.556
- type: mrr_at_1
value: 42
- type: mrr_at_10
value: 52.653000000000006
- type: mrr_at_100
value: 53.33599999999999
- type: mrr_at_1000
value: 53.364999999999995
- type: mrr_at_3
value: 50.542
- type: mrr_at_5
value: 51.803999999999995
- type: ndcg_at_1
value: 31.624999999999996
- type: ndcg_at_10
value: 25.167
- type: ndcg_at_100
value: 28.766000000000002
- type: ndcg_at_1000
value: 35.959
- type: ndcg_at_3
value: 27.807
- type: ndcg_at_5
value: 26.569
- type: precision_at_1
value: 42
- type: precision_at_10
value: 22.5
- type: precision_at_100
value: 7.295
- type: precision_at_1000
value: 1.543
- type: precision_at_3
value: 33.5
- type: precision_at_5
value: 29.099999999999998
- type: recall_at_1
value: 4.424
- type: recall_at_10
value: 15.359
- type: recall_at_100
value: 35.99
- type: recall_at_1000
value: 60.707
- type: recall_at_3
value: 8.803999999999998
- type: recall_at_5
value: 11.349
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 48.99
- type: f1
value: 44.72383731785718
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 17.753
- type: map_at_10
value: 26.762999999999998
- type: map_at_100
value: 27.773999999999997
- type: map_at_1000
value: 27.845
- type: map_at_3
value: 24.096
- type: map_at_5
value: 25.6
- type: mrr_at_1
value: 19.022
- type: mrr_at_10
value: 28.46
- type: mrr_at_100
value: 29.462
- type: mrr_at_1000
value: 29.520999999999997
- type: mrr_at_3
value: 25.679999999999996
- type: mrr_at_5
value: 27.272999999999996
- type: ndcg_at_1
value: 19.022
- type: ndcg_at_10
value: 32.063
- type: ndcg_at_100
value: 37.169999999999995
- type: ndcg_at_1000
value: 39.048
- type: ndcg_at_3
value: 26.558999999999997
- type: ndcg_at_5
value: 29.266
- type: precision_at_1
value: 19.022
- type: precision_at_10
value: 5.119
- type: precision_at_100
value: 0.786
- type: precision_at_1000
value: 0.097
- type: precision_at_3
value: 11.571
- type: precision_at_5
value: 8.368
- type: recall_at_1
value: 17.753
- type: recall_at_10
value: 47.061
- type: recall_at_100
value: 70.75200000000001
- type: recall_at_1000
value: 85.134
- type: recall_at_3
value: 32.049
- type: recall_at_5
value: 38.556000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 6.845
- type: map_at_10
value: 11.806999999999999
- type: map_at_100
value: 13.104
- type: map_at_1000
value: 13.317
- type: map_at_3
value: 9.746
- type: map_at_5
value: 10.806000000000001
- type: mrr_at_1
value: 13.889000000000001
- type: mrr_at_10
value: 20.456
- type: mrr_at_100
value: 21.572
- type: mrr_at_1000
value: 21.666
- type: mrr_at_3
value: 18.184
- type: mrr_at_5
value: 19.387999999999998
- type: ndcg_at_1
value: 13.889000000000001
- type: ndcg_at_10
value: 16.552
- type: ndcg_at_100
value: 22.817999999999998
- type: ndcg_at_1000
value: 27.401999999999997
- type: ndcg_at_3
value: 13.527000000000001
- type: ndcg_at_5
value: 14.6
- type: precision_at_1
value: 13.889000000000001
- type: precision_at_10
value: 4.984999999999999
- type: precision_at_100
value: 1.097
- type: precision_at_1000
value: 0.191
- type: precision_at_3
value: 9.208
- type: precision_at_5
value: 7.13
- type: recall_at_1
value: 6.845
- type: recall_at_10
value: 22.012999999999998
- type: recall_at_100
value: 46.75
- type: recall_at_1000
value: 74.945
- type: recall_at_3
value: 12.352
- type: recall_at_5
value: 16.217000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 18.886
- type: map_at_10
value: 26.729999999999997
- type: map_at_100
value: 27.732
- type: map_at_1000
value: 27.85
- type: map_at_3
value: 24.57
- type: map_at_5
value: 25.774
- type: mrr_at_1
value: 37.772
- type: mrr_at_10
value: 45.239000000000004
- type: mrr_at_100
value: 45.972
- type: mrr_at_1000
value: 46.027
- type: mrr_at_3
value: 43.279
- type: mrr_at_5
value: 44.397
- type: ndcg_at_1
value: 37.772
- type: ndcg_at_10
value: 33.973
- type: ndcg_at_100
value: 38.456
- type: ndcg_at_1000
value: 41.178
- type: ndcg_at_3
value: 29.988999999999997
- type: ndcg_at_5
value: 31.935999999999996
- type: precision_at_1
value: 37.772
- type: precision_at_10
value: 7.465
- type: precision_at_100
value: 1.1039999999999999
- type: precision_at_1000
value: 0.147
- type: precision_at_3
value: 18.902
- type: precision_at_5
value: 12.883
- type: recall_at_1
value: 18.886
- type: recall_at_10
value: 37.326
- type: recall_at_100
value: 55.186
- type: recall_at_1000
value: 73.309
- type: recall_at_3
value: 28.352
- type: recall_at_5
value: 32.208
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 70.6808
- type: ap
value: 64.78268083902698
- type: f1
value: 70.48410216634053
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 6.300999999999999
- type: map_at_10
value: 11.068999999999999
- type: map_at_100
value: 12
- type: map_at_1000
value: 12.113999999999999
- type: map_at_3
value: 9.381
- type: map_at_5
value: 10.265
- type: mrr_at_1
value: 6.476
- type: mrr_at_10
value: 11.357000000000001
- type: mrr_at_100
value: 12.293
- type: mrr_at_1000
value: 12.403
- type: mrr_at_3
value: 9.62
- type: mrr_at_5
value: 10.544
- type: ndcg_at_1
value: 6.461
- type: ndcg_at_10
value: 14.058000000000002
- type: ndcg_at_100
value: 19.156000000000002
- type: ndcg_at_1000
value: 22.570999999999998
- type: ndcg_at_3
value: 10.475
- type: ndcg_at_5
value: 12.092
- type: precision_at_1
value: 6.461
- type: precision_at_10
value: 2.431
- type: precision_at_100
value: 0.508
- type: precision_at_1000
value: 0.08
- type: precision_at_3
value: 4.6080000000000005
- type: precision_at_5
value: 3.5900000000000003
- type: recall_at_1
value: 6.300999999999999
- type: recall_at_10
value: 23.378
- type: recall_at_100
value: 48.258
- type: recall_at_1000
value: 75.652
- type: recall_at_3
value: 13.422
- type: recall_at_5
value: 17.316000000000003
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 91.34290925672595
- type: f1
value: 90.45651851550997
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 63.57045143638851
- type: f1
value: 44.02606500037181
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 65.63214525891057
- type: f1
value: 63.33629303043603
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 72.65635507733691
- type: f1
value: 71.52506282204605
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 30.593804768886113
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 27.41249151566158
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 31.0983658178549
- type: mrr
value: 32.18857446274346
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 4.79
- type: map_at_10
value: 9.095
- type: map_at_100
value: 11.738999999999999
- type: map_at_1000
value: 13.203000000000001
- type: map_at_3
value: 6.68
- type: map_at_5
value: 7.924
- type: mrr_at_1
value: 37.461
- type: mrr_at_10
value: 46.283
- type: mrr_at_100
value: 46.983999999999995
- type: mrr_at_1000
value: 47.046
- type: mrr_at_3
value: 43.55
- type: mrr_at_5
value: 45.268
- type: ndcg_at_1
value: 35.604
- type: ndcg_at_10
value: 27.249000000000002
- type: ndcg_at_100
value: 26.215
- type: ndcg_at_1000
value: 35.867
- type: ndcg_at_3
value: 30.330000000000002
- type: ndcg_at_5
value: 29.574
- type: precision_at_1
value: 37.152
- type: precision_at_10
value: 20.031
- type: precision_at_100
value: 7.217
- type: precision_at_1000
value: 2.072
- type: precision_at_3
value: 27.761000000000003
- type: precision_at_5
value: 25.448999999999998
- type: recall_at_1
value: 4.79
- type: recall_at_10
value: 13.197000000000001
- type: recall_at_100
value: 28.816999999999997
- type: recall_at_1000
value: 63.010999999999996
- type: recall_at_3
value: 7.53
- type: recall_at_5
value: 10.234
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 9.345
- type: map_at_10
value: 16.655
- type: map_at_100
value: 17.991
- type: map_at_1000
value: 18.093999999999998
- type: map_at_3
value: 13.825000000000001
- type: map_at_5
value: 15.445
- type: mrr_at_1
value: 10.834000000000001
- type: mrr_at_10
value: 18.533
- type: mrr_at_100
value: 19.750999999999998
- type: mrr_at_1000
value: 19.837
- type: mrr_at_3
value: 15.623999999999999
- type: mrr_at_5
value: 17.307
- type: ndcg_at_1
value: 10.834000000000001
- type: ndcg_at_10
value: 21.503
- type: ndcg_at_100
value: 28.141
- type: ndcg_at_1000
value: 30.951
- type: ndcg_at_3
value: 15.7
- type: ndcg_at_5
value: 18.608
- type: precision_at_1
value: 10.834000000000001
- type: precision_at_10
value: 4.09
- type: precision_at_100
value: 0.782
- type: precision_at_1000
value: 0.105
- type: precision_at_3
value: 7.474
- type: precision_at_5
value: 6.089
- type: recall_at_1
value: 9.345
- type: recall_at_10
value: 34.760000000000005
- type: recall_at_100
value: 65.455
- type: recall_at_1000
value: 87.008
- type: recall_at_3
value: 19.397000000000002
- type: recall_at_5
value: 26.205000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 63.864
- type: map_at_10
value: 76.823
- type: map_at_100
value: 77.58699999999999
- type: map_at_1000
value: 77.619
- type: map_at_3
value: 73.834
- type: map_at_5
value: 75.703
- type: mrr_at_1
value: 73.55000000000001
- type: mrr_at_10
value: 81.077
- type: mrr_at_100
value: 81.296
- type: mrr_at_1000
value: 81.3
- type: mrr_at_3
value: 79.647
- type: mrr_at_5
value: 80.601
- type: ndcg_at_1
value: 73.63
- type: ndcg_at_10
value: 81.526
- type: ndcg_at_100
value: 83.544
- type: ndcg_at_1000
value: 83.86200000000001
- type: ndcg_at_3
value: 77.96300000000001
- type: ndcg_at_5
value: 79.888
- type: precision_at_1
value: 73.63
- type: precision_at_10
value: 12.325
- type: precision_at_100
value: 1.468
- type: precision_at_1000
value: 0.155
- type: precision_at_3
value: 33.857
- type: precision_at_5
value: 22.428
- type: recall_at_1
value: 63.864
- type: recall_at_10
value: 90.537
- type: recall_at_100
value: 97.985
- type: recall_at_1000
value: 99.679
- type: recall_at_3
value: 80.351
- type: recall_at_5
value: 85.697
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 44.25321653229755
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 49.93875732877625
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.8979999999999997
- type: map_at_10
value: 7.376
- type: map_at_100
value: 8.902000000000001
- type: map_at_1000
value: 9.174
- type: map_at_3
value: 5.47
- type: map_at_5
value: 6.432
- type: mrr_at_1
value: 14.2
- type: mrr_at_10
value: 22.966
- type: mrr_at_100
value: 24.117
- type: mrr_at_1000
value: 24.209
- type: mrr_at_3
value: 20.033
- type: mrr_at_5
value: 21.532999999999998
- type: ndcg_at_1
value: 14.2
- type: ndcg_at_10
value: 13.016
- type: ndcg_at_100
value: 19.804
- type: ndcg_at_1000
value: 25.251
- type: ndcg_at_3
value: 12.395
- type: ndcg_at_5
value: 10.793999999999999
- type: precision_at_1
value: 14.2
- type: precision_at_10
value: 6.800000000000001
- type: precision_at_100
value: 1.6709999999999998
- type: precision_at_1000
value: 0.298
- type: precision_at_3
value: 11.767
- type: precision_at_5
value: 9.56
- type: recall_at_1
value: 2.8979999999999997
- type: recall_at_10
value: 13.753000000000002
- type: recall_at_100
value: 33.92
- type: recall_at_1000
value: 60.592
- type: recall_at_3
value: 7.163
- type: recall_at_5
value: 9.678
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 76.86234724246499
- type: cos_sim_spearman
value: 67.59298171796401
- type: euclidean_pearson
value: 72.34370409015565
- type: euclidean_spearman
value: 67.59294254877997
- type: manhattan_pearson
value: 70.76123243638206
- type: manhattan_spearman
value: 66.86233305574997
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 75.2193174164991
- type: cos_sim_spearman
value: 66.95885463258551
- type: euclidean_pearson
value: 70.69637254317986
- type: euclidean_spearman
value: 66.95991031425478
- type: manhattan_pearson
value: 67.25988575290648
- type: manhattan_spearman
value: 64.94406492662402
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 77.42103332836258
- type: cos_sim_spearman
value: 78.48875534932043
- type: euclidean_pearson
value: 78.1930584097837
- type: euclidean_spearman
value: 78.48879315793262
- type: manhattan_pearson
value: 75.7705791679418
- type: manhattan_spearman
value: 76.01194506942352
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 78.58218995046416
- type: cos_sim_spearman
value: 75.61279190671051
- type: euclidean_pearson
value: 77.58820759180631
- type: euclidean_spearman
value: 75.61278221440635
- type: manhattan_pearson
value: 76.12440001778819
- type: manhattan_spearman
value: 74.4269498969252
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 82.2891641302121
- type: cos_sim_spearman
value: 82.73098262647434
- type: euclidean_pearson
value: 82.5188483930312
- type: euclidean_spearman
value: 82.73097334698637
- type: manhattan_pearson
value: 81.05168739270556
- type: manhattan_spearman
value: 81.10750061837136
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 77.4670953467407
- type: cos_sim_spearman
value: 78.53536279187583
- type: euclidean_pearson
value: 77.6227824619736
- type: euclidean_spearman
value: 78.53591292409315
- type: manhattan_pearson
value: 76.24243879772493
- type: manhattan_spearman
value: 77.00775260881191
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 86.19161153621691
- type: cos_sim_spearman
value: 86.86584556712556
- type: euclidean_pearson
value: 86.08114835853017
- type: euclidean_spearman
value: 86.86671808346402
- type: manhattan_pearson
value: 85.71042782796158
- type: manhattan_spearman
value: 86.76481453820853
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 59.80818689506919
- type: cos_sim_spearman
value: 59.903534431363916
- type: euclidean_pearson
value: 60.967975393911466
- type: euclidean_spearman
value: 59.903534431363916
- type: manhattan_pearson
value: 59.348745545947104
- type: manhattan_spearman
value: 58.506942610232116
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 80.61911955925173
- type: cos_sim_spearman
value: 79.18748066540941
- type: euclidean_pearson
value: 80.06976231938555
- type: euclidean_spearman
value: 79.18749912961366
- type: manhattan_pearson
value: 78.3922696264025
- type: manhattan_spearman
value: 77.68224365306664
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 74.36063395414824
- type: mrr
value: 91.81411453470277
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 39.139
- type: map_at_10
value: 47.508
- type: map_at_100
value: 48.631
- type: map_at_1000
value: 48.691
- type: map_at_3
value: 44.926
- type: map_at_5
value: 46.093
- type: mrr_at_1
value: 41.333
- type: mrr_at_10
value: 49.289
- type: mrr_at_100
value: 50.209
- type: mrr_at_1000
value: 50.261
- type: mrr_at_3
value: 46.944
- type: mrr_at_5
value: 47.978
- type: ndcg_at_1
value: 41.333
- type: ndcg_at_10
value: 52.306
- type: ndcg_at_100
value: 57.403999999999996
- type: ndcg_at_1000
value: 58.733999999999995
- type: ndcg_at_3
value: 47.113
- type: ndcg_at_5
value: 48.966
- type: precision_at_1
value: 41.333
- type: precision_at_10
value: 7.167
- type: precision_at_100
value: 0.997
- type: precision_at_1000
value: 0.11100000000000002
- type: precision_at_3
value: 18.333
- type: precision_at_5
value: 12
- type: recall_at_1
value: 39.139
- type: recall_at_10
value: 65.84400000000001
- type: recall_at_100
value: 88.94999999999999
- type: recall_at_1000
value: 98.867
- type: recall_at_3
value: 51.222
- type: recall_at_5
value: 55.72200000000001
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.66831683168317
- type: cos_sim_ap
value: 89.56758407722171
- type: cos_sim_f1
value: 82.97029702970298
- type: cos_sim_precision
value: 82.15686274509804
- type: cos_sim_recall
value: 83.8
- type: dot_accuracy
value: 99.66831683168317
- type: dot_ap
value: 89.56758407722171
- type: dot_f1
value: 82.97029702970298
- type: dot_precision
value: 82.15686274509804
- type: dot_recall
value: 83.8
- type: euclidean_accuracy
value: 99.66831683168317
- type: euclidean_ap
value: 89.56758407722171
- type: euclidean_f1
value: 82.97029702970298
- type: euclidean_precision
value: 82.15686274509804
- type: euclidean_recall
value: 83.8
- type: manhattan_accuracy
value: 99.65445544554456
- type: manhattan_ap
value: 88.81637821295462
- type: manhattan_f1
value: 81.9047619047619
- type: manhattan_precision
value: 82.1105527638191
- type: manhattan_recall
value: 81.69999999999999
- type: max_accuracy
value: 99.66831683168317
- type: max_ap
value: 89.56758407722171
- type: max_f1
value: 82.97029702970298
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 47.34055809539011
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 29.658298502445096
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 43.989840235812004
- type: mrr
value: 44.506899350649356
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 31.29667664654959
- type: cos_sim_spearman
value: 29.818596667773882
- type: dot_pearson
value: 31.296676647072026
- type: dot_spearman
value: 29.779857187330265
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.155
- type: map_at_10
value: 0.8330000000000001
- type: map_at_100
value: 4.590000000000001
- type: map_at_1000
value: 11.683
- type: map_at_3
value: 0.334
- type: map_at_5
value: 0.466
- type: mrr_at_1
value: 60
- type: mrr_at_10
value: 68.136
- type: mrr_at_100
value: 68.703
- type: mrr_at_1000
value: 68.703
- type: mrr_at_3
value: 66
- type: mrr_at_5
value: 66.4
- type: ndcg_at_1
value: 54
- type: ndcg_at_10
value: 44.658
- type: ndcg_at_100
value: 33.977000000000004
- type: ndcg_at_1000
value: 30.621
- type: ndcg_at_3
value: 48.939
- type: ndcg_at_5
value: 45.396
- type: precision_at_1
value: 57.99999999999999
- type: precision_at_10
value: 47.4
- type: precision_at_100
value: 35.82
- type: precision_at_1000
value: 14.876000000000001
- type: precision_at_3
value: 50
- type: precision_at_5
value: 45.6
- type: recall_at_1
value: 0.155
- type: recall_at_10
value: 1.0670000000000002
- type: recall_at_100
value: 7.651
- type: recall_at_1000
value: 29.537000000000003
- type: recall_at_3
value: 0.35500000000000004
- type: recall_at_5
value: 0.518
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.426
- type: map_at_10
value: 8.38
- type: map_at_100
value: 14.308000000000002
- type: map_at_1000
value: 15.956000000000001
- type: map_at_3
value: 4.596
- type: map_at_5
value: 6.1339999999999995
- type: mrr_at_1
value: 32.653
- type: mrr_at_10
value: 44.577
- type: mrr_at_100
value: 45.754
- type: mrr_at_1000
value: 45.754
- type: mrr_at_3
value: 41.156
- type: mrr_at_5
value: 43.401
- type: ndcg_at_1
value: 28.571
- type: ndcg_at_10
value: 21.116
- type: ndcg_at_100
value: 35.193000000000005
- type: ndcg_at_1000
value: 46.989
- type: ndcg_at_3
value: 24.708
- type: ndcg_at_5
value: 23.594
- type: precision_at_1
value: 32.653
- type: precision_at_10
value: 19.592000000000002
- type: precision_at_100
value: 8.265
- type: precision_at_1000
value: 1.5939999999999999
- type: precision_at_3
value: 27.211000000000002
- type: precision_at_5
value: 25.306
- type: recall_at_1
value: 2.426
- type: recall_at_10
value: 13.691
- type: recall_at_100
value: 49.446
- type: recall_at_1000
value: 86.124
- type: recall_at_3
value: 5.67
- type: recall_at_5
value: 8.506
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 79.2904
- type: ap
value: 19.73734798884487
- type: f1
value: 61.89018130098357
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 60.97906055461234
- type: f1
value: 61.25225658586279
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 41.859245341604115
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.4714192048638
- type: cos_sim_ap
value: 64.50474781834589
- type: cos_sim_f1
value: 60.58070866141732
- type: cos_sim_precision
value: 56.75426463808206
- type: cos_sim_recall
value: 64.96042216358839
- type: dot_accuracy
value: 83.4714192048638
- type: dot_ap
value: 64.50474781834589
- type: dot_f1
value: 60.58070866141732
- type: dot_precision
value: 56.75426463808206
- type: dot_recall
value: 64.96042216358839
- type: euclidean_accuracy
value: 83.4714192048638
- type: euclidean_ap
value: 64.50474781834589
- type: euclidean_f1
value: 60.58070866141732
- type: euclidean_precision
value: 56.75426463808206
- type: euclidean_recall
value: 64.96042216358839
- type: manhattan_accuracy
value: 83.48334028729809
- type: manhattan_ap
value: 64.6227449383717
- type: manhattan_f1
value: 60.88942307692308
- type: manhattan_precision
value: 55.916114790286976
- type: manhattan_recall
value: 66.83377308707124
- type: max_accuracy
value: 83.48334028729809
- type: max_ap
value: 64.6227449383717
- type: max_f1
value: 60.88942307692308
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.58295494236815
- type: cos_sim_ap
value: 83.22579648788027
- type: cos_sim_f1
value: 75.27357054859048
- type: cos_sim_precision
value: 71.09514031485284
- type: cos_sim_recall
value: 79.97382198952879
- type: dot_accuracy
value: 87.58295494236815
- type: dot_ap
value: 83.22579579937255
- type: dot_f1
value: 75.27357054859048
- type: dot_precision
value: 71.09514031485284
- type: dot_recall
value: 79.97382198952879
- type: euclidean_accuracy
value: 87.58295494236815
- type: euclidean_ap
value: 83.22580643443949
- type: euclidean_f1
value: 75.27357054859048
- type: euclidean_precision
value: 71.09514031485284
- type: euclidean_recall
value: 79.97382198952879
- type: manhattan_accuracy
value: 87.57325260992742
- type: manhattan_ap
value: 83.05240665725778
- type: manhattan_f1
value: 75.09726237641432
- type: manhattan_precision
value: 69.99800385920554
- type: manhattan_recall
value: 80.99784416384355
- type: max_accuracy
value: 87.58295494236815
- type: max_ap
value: 83.22580643443949
- type: max_f1
value: 75.27357054859048