metadata
tags:
- mteb
model-index:
- name: l3_wordllama_256
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 65.97014925373134
- type: ap
value: 27.33017285839569
- type: f1
value: 59.04330619047924
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 63.248250000000006
- type: ap
value: 58.695642654646576
- type: f1
value: 62.98826255412888
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 31.689999999999998
- type: f1
value: 31.106666192619258
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 19.986
- type: map_at_10
value: 34.634
- type: map_at_100
value: 35.937000000000005
- type: map_at_1000
value: 35.954
- type: map_at_3
value: 29.742
- type: map_at_5
value: 32.444
- type: mrr_at_1
value: 20.341
- type: mrr_at_10
value: 34.763
- type: mrr_at_100
value: 36.065999999999995
- type: mrr_at_1000
value: 36.083
- type: mrr_at_3
value: 29.872
- type: mrr_at_5
value: 32.574999999999996
- type: ndcg_at_1
value: 19.986
- type: ndcg_at_10
value: 43.074
- type: ndcg_at_100
value: 48.819
- type: ndcg_at_1000
value: 49.26
- type: ndcg_at_3
value: 32.934000000000005
- type: ndcg_at_5
value: 37.830999999999996
- type: precision_at_1
value: 19.986
- type: precision_at_10
value: 7.02
- type: precision_at_100
value: 0.958
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 14.059
- type: precision_at_5
value: 10.825
- type: recall_at_1
value: 19.986
- type: recall_at_10
value: 70.199
- type: recall_at_100
value: 95.804
- type: recall_at_1000
value: 99.21799999999999
- type: recall_at_3
value: 42.176
- type: recall_at_5
value: 54.125
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 39.64176717184799
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 29.06122250673383
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 55.808484614132844
- type: mrr
value: 71.09121487930351
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 74.96889982129713
- type: cos_sim_spearman
value: 70.34256665852179
- type: euclidean_pearson
value: 73.59375229907496
- type: euclidean_spearman
value: 70.34256665852179
- type: manhattan_pearson
value: 72.38820178677287
- type: manhattan_spearman
value: 69.3919425882689
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 73.56818181818181
- type: f1
value: 72.78107232170503
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 33.10380086081637
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 25.238238325966222
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 20.294999999999998
- type: map_at_10
value: 27.535999999999998
- type: map_at_100
value: 28.803
- type: map_at_1000
value: 28.971000000000004
- type: map_at_3
value: 25.029
- type: map_at_5
value: 26.526
- type: mrr_at_1
value: 24.893
- type: mrr_at_10
value: 32.554
- type: mrr_at_100
value: 33.504
- type: mrr_at_1000
value: 33.583
- type: mrr_at_3
value: 30.091
- type: mrr_at_5
value: 31.535999999999998
- type: ndcg_at_1
value: 24.893
- type: ndcg_at_10
value: 32.495000000000005
- type: ndcg_at_100
value: 38.288
- type: ndcg_at_1000
value: 41.559000000000005
- type: ndcg_at_3
value: 28.321
- type: ndcg_at_5
value: 30.401
- type: precision_at_1
value: 24.893
- type: precision_at_10
value: 6.109
- type: precision_at_100
value: 1.142
- type: precision_at_1000
value: 0.179
- type: precision_at_3
value: 13.447999999999999
- type: precision_at_5
value: 9.927999999999999
- type: recall_at_1
value: 20.294999999999998
- type: recall_at_10
value: 42.129
- type: recall_at_100
value: 67.709
- type: recall_at_1000
value: 89.534
- type: recall_at_3
value: 30.148999999999997
- type: recall_at_5
value: 35.804
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 16.426
- type: map_at_10
value: 22.461000000000002
- type: map_at_100
value: 23.424
- type: map_at_1000
value: 23.559
- type: map_at_3
value: 20.643
- type: map_at_5
value: 21.602
- type: mrr_at_1
value: 20.701
- type: mrr_at_10
value: 26.734
- type: mrr_at_100
value: 27.516000000000002
- type: mrr_at_1000
value: 27.594
- type: mrr_at_3
value: 24.936
- type: mrr_at_5
value: 25.901000000000003
- type: ndcg_at_1
value: 20.701
- type: ndcg_at_10
value: 26.381
- type: ndcg_at_100
value: 30.731
- type: ndcg_at_1000
value: 33.603
- type: ndcg_at_3
value: 23.336000000000002
- type: ndcg_at_5
value: 24.644
- type: precision_at_1
value: 20.701
- type: precision_at_10
value: 5.006
- type: precision_at_100
value: 0.9339999999999999
- type: precision_at_1000
value: 0.14200000000000002
- type: precision_at_3
value: 11.315999999999999
- type: precision_at_5
value: 8.14
- type: recall_at_1
value: 16.426
- type: recall_at_10
value: 33.593
- type: recall_at_100
value: 52.746
- type: recall_at_1000
value: 72.15899999999999
- type: recall_at_3
value: 24.712
- type: recall_at_5
value: 28.233000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 24.46
- type: map_at_10
value: 33.292
- type: map_at_100
value: 34.437
- type: map_at_1000
value: 34.534
- type: map_at_3
value: 30.567
- type: map_at_5
value: 32.202
- type: mrr_at_1
value: 28.276
- type: mrr_at_10
value: 36.235
- type: mrr_at_100
value: 37.173
- type: mrr_at_1000
value: 37.234
- type: mrr_at_3
value: 33.783
- type: mrr_at_5
value: 35.237
- type: ndcg_at_1
value: 28.276
- type: ndcg_at_10
value: 38.202000000000005
- type: ndcg_at_100
value: 43.634
- type: ndcg_at_1000
value: 45.894
- type: ndcg_at_3
value: 33.19
- type: ndcg_at_5
value: 35.798
- type: precision_at_1
value: 28.276
- type: precision_at_10
value: 6.332
- type: precision_at_100
value: 1.008
- type: precision_at_1000
value: 0.127
- type: precision_at_3
value: 14.671000000000001
- type: precision_at_5
value: 10.571
- type: recall_at_1
value: 24.46
- type: recall_at_10
value: 50.156
- type: recall_at_100
value: 74.648
- type: recall_at_1000
value: 91.269
- type: recall_at_3
value: 36.937999999999995
- type: recall_at_5
value: 43.15
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 14.052999999999999
- type: map_at_10
value: 18.287
- type: map_at_100
value: 19.137
- type: map_at_1000
value: 19.258
- type: map_at_3
value: 16.79
- type: map_at_5
value: 17.618000000000002
- type: mrr_at_1
value: 15.254000000000001
- type: mrr_at_10
value: 19.88
- type: mrr_at_100
value: 20.71
- type: mrr_at_1000
value: 20.812
- type: mrr_at_3
value: 18.23
- type: mrr_at_5
value: 19.185
- type: ndcg_at_1
value: 15.254000000000001
- type: ndcg_at_10
value: 21.183
- type: ndcg_at_100
value: 25.972
- type: ndcg_at_1000
value: 29.271
- type: ndcg_at_3
value: 18.046
- type: ndcg_at_5
value: 19.570999999999998
- type: precision_at_1
value: 15.254000000000001
- type: precision_at_10
value: 3.288
- type: precision_at_100
value: 0.614
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 7.5329999999999995
- type: precision_at_5
value: 5.379
- type: recall_at_1
value: 14.052999999999999
- type: recall_at_10
value: 28.599999999999998
- type: recall_at_100
value: 51.815
- type: recall_at_1000
value: 77.04299999999999
- type: recall_at_3
value: 20.238999999999997
- type: recall_at_5
value: 23.837
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 8.475000000000001
- type: map_at_10
value: 12.898000000000001
- type: map_at_100
value: 13.950000000000001
- type: map_at_1000
value: 14.063999999999998
- type: map_at_3
value: 10.965
- type: map_at_5
value: 11.905000000000001
- type: mrr_at_1
value: 10.323
- type: mrr_at_10
value: 15.431000000000001
- type: mrr_at_100
value: 16.442
- type: mrr_at_1000
value: 16.526
- type: mrr_at_3
value: 13.288
- type: mrr_at_5
value: 14.382
- type: ndcg_at_1
value: 10.323
- type: ndcg_at_10
value: 16.325
- type: ndcg_at_100
value: 21.831999999999997
- type: ndcg_at_1000
value: 25.079
- type: ndcg_at_3
value: 12.372
- type: ndcg_at_5
value: 14.011999999999999
- type: precision_at_1
value: 10.323
- type: precision_at_10
value: 3.197
- type: precision_at_100
value: 0.6930000000000001
- type: precision_at_1000
value: 0.11299999999999999
- type: precision_at_3
value: 5.970000000000001
- type: precision_at_5
value: 4.627
- type: recall_at_1
value: 8.475000000000001
- type: recall_at_10
value: 24.651999999999997
- type: recall_at_100
value: 49.63
- type: recall_at_1000
value: 73.35000000000001
- type: recall_at_3
value: 13.852
- type: recall_at_5
value: 17.813000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 18.278
- type: map_at_10
value: 24.852
- type: map_at_100
value: 26.308999999999997
- type: map_at_1000
value: 26.450000000000003
- type: map_at_3
value: 22.183
- type: map_at_5
value: 23.493
- type: mrr_at_1
value: 22.522000000000002
- type: mrr_at_10
value: 29.554000000000002
- type: mrr_at_100
value: 30.705
- type: mrr_at_1000
value: 30.774
- type: mrr_at_3
value: 26.821
- type: mrr_at_5
value: 28.288000000000004
- type: ndcg_at_1
value: 22.522000000000002
- type: ndcg_at_10
value: 29.79
- type: ndcg_at_100
value: 36.473
- type: ndcg_at_1000
value: 39.440999999999995
- type: ndcg_at_3
value: 24.915000000000003
- type: ndcg_at_5
value: 26.941
- type: precision_at_1
value: 22.522000000000002
- type: precision_at_10
value: 5.707
- type: precision_at_100
value: 1.076
- type: precision_at_1000
value: 0.153
- type: precision_at_3
value: 11.645999999999999
- type: precision_at_5
value: 8.584999999999999
- type: recall_at_1
value: 18.278
- type: recall_at_10
value: 40.150999999999996
- type: recall_at_100
value: 68.978
- type: recall_at_1000
value: 89.295
- type: recall_at_3
value: 26.548
- type: recall_at_5
value: 31.772
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 14.634
- type: map_at_10
value: 21.377
- type: map_at_100
value: 22.522000000000002
- type: map_at_1000
value: 22.657
- type: map_at_3
value: 19.292
- type: map_at_5
value: 20.278
- type: mrr_at_1
value: 18.151
- type: mrr_at_10
value: 25.263999999999996
- type: mrr_at_100
value: 26.156000000000002
- type: mrr_at_1000
value: 26.247
- type: mrr_at_3
value: 23.154
- type: mrr_at_5
value: 24.188000000000002
- type: ndcg_at_1
value: 18.151
- type: ndcg_at_10
value: 25.773000000000003
- type: ndcg_at_100
value: 31.130999999999997
- type: ndcg_at_1000
value: 34.452
- type: ndcg_at_3
value: 21.975
- type: ndcg_at_5
value: 23.36
- type: precision_at_1
value: 18.151
- type: precision_at_10
value: 4.829
- type: precision_at_100
value: 0.894
- type: precision_at_1000
value: 0.136
- type: precision_at_3
value: 10.693
- type: precision_at_5
value: 7.648000000000001
- type: recall_at_1
value: 14.634
- type: recall_at_10
value: 35.433
- type: recall_at_100
value: 58.617
- type: recall_at_1000
value: 82.364
- type: recall_at_3
value: 24.59
- type: recall_at_5
value: 28.217
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 14.736583333333334
- type: map_at_10
value: 20.393
- type: map_at_100
value: 21.42775
- type: map_at_1000
value: 21.560666666666666
- type: map_at_3
value: 18.52958333333333
- type: map_at_5
value: 19.509249999999998
- type: mrr_at_1
value: 17.61366666666667
- type: mrr_at_10
value: 23.522250000000003
- type: mrr_at_100
value: 24.424166666666668
- type: mrr_at_1000
value: 24.512166666666666
- type: mrr_at_3
value: 21.64875
- type: mrr_at_5
value: 22.648916666666665
- type: ndcg_at_1
value: 17.61366666666667
- type: ndcg_at_10
value: 24.16458333333333
- type: ndcg_at_100
value: 29.305916666666672
- type: ndcg_at_1000
value: 32.52291666666667
- type: ndcg_at_3
value: 20.732
- type: ndcg_at_5
value: 22.223333333333333
- type: precision_at_1
value: 17.61366666666667
- type: precision_at_10
value: 4.33925
- type: precision_at_100
value: 0.8296666666666666
- type: precision_at_1000
value: 0.12933333333333333
- type: precision_at_3
value: 9.6265
- type: precision_at_5
value: 6.921666666666666
- type: recall_at_1
value: 14.736583333333334
- type: recall_at_10
value: 32.46958333333333
- type: recall_at_100
value: 55.94050000000001
- type: recall_at_1000
value: 79.17466666666667
- type: recall_at_3
value: 22.765749999999997
- type: recall_at_5
value: 26.614583333333336
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 11.152
- type: map_at_10
value: 16.052
- type: map_at_100
value: 16.892
- type: map_at_1000
value: 17
- type: map_at_3
value: 14.677999999999999
- type: map_at_5
value: 15.424
- type: mrr_at_1
value: 12.883
- type: mrr_at_10
value: 17.871000000000002
- type: mrr_at_100
value: 18.694
- type: mrr_at_1000
value: 18.793000000000003
- type: mrr_at_3
value: 16.641000000000002
- type: mrr_at_5
value: 17.262
- type: ndcg_at_1
value: 12.883
- type: ndcg_at_10
value: 18.981
- type: ndcg_at_100
value: 23.704
- type: ndcg_at_1000
value: 26.810000000000002
- type: ndcg_at_3
value: 16.361
- type: ndcg_at_5
value: 17.507
- type: precision_at_1
value: 12.883
- type: precision_at_10
value: 3.221
- type: precision_at_100
value: 0.612
- type: precision_at_1000
value: 0.095
- type: precision_at_3
value: 7.4639999999999995
- type: precision_at_5
value: 5.244999999999999
- type: recall_at_1
value: 11.152
- type: recall_at_10
value: 26.22
- type: recall_at_100
value: 48.870000000000005
- type: recall_at_1000
value: 72.328
- type: recall_at_3
value: 18.838
- type: recall_at_5
value: 21.693
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 8.338
- type: map_at_10
value: 12.315
- type: map_at_100
value: 13.086
- type: map_at_1000
value: 13.214
- type: map_at_3
value: 11.032
- type: map_at_5
value: 11.691
- type: mrr_at_1
value: 10.255
- type: mrr_at_10
value: 14.723
- type: mrr_at_100
value: 15.528
- type: mrr_at_1000
value: 15.626000000000001
- type: mrr_at_3
value: 13.289000000000001
- type: mrr_at_5
value: 14.047
- type: ndcg_at_1
value: 10.255
- type: ndcg_at_10
value: 15.058
- type: ndcg_at_100
value: 19.326
- type: ndcg_at_1000
value: 22.972
- type: ndcg_at_3
value: 12.565999999999999
- type: ndcg_at_5
value: 13.603000000000002
- type: precision_at_1
value: 10.255
- type: precision_at_10
value: 2.815
- type: precision_at_100
value: 0.597
- type: precision_at_1000
value: 0.109
- type: precision_at_3
value: 6.045
- type: precision_at_5
value: 4.405
- type: recall_at_1
value: 8.338
- type: recall_at_10
value: 21.125
- type: recall_at_100
value: 40.936
- type: recall_at_1000
value: 67.984
- type: recall_at_3
value: 14.018
- type: recall_at_5
value: 16.725
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 13.575000000000001
- type: map_at_10
value: 18.967
- type: map_at_100
value: 19.924
- type: map_at_1000
value: 20.06
- type: map_at_3
value: 17.101
- type: map_at_5
value: 18.142
- type: mrr_at_1
value: 16.418
- type: mrr_at_10
value: 22.131
- type: mrr_at_100
value: 22.993
- type: mrr_at_1000
value: 23.101
- type: mrr_at_3
value: 20.288999999999998
- type: mrr_at_5
value: 21.282999999999998
- type: ndcg_at_1
value: 16.418
- type: ndcg_at_10
value: 22.625
- type: ndcg_at_100
value: 27.676000000000002
- type: ndcg_at_1000
value: 31.41
- type: ndcg_at_3
value: 19.136
- type: ndcg_at_5
value: 20.748
- type: precision_at_1
value: 16.418
- type: precision_at_10
value: 3.9739999999999998
- type: precision_at_100
value: 0.743
- type: precision_at_1000
value: 0.11800000000000001
- type: precision_at_3
value: 8.924
- type: precision_at_5
value: 6.381
- type: recall_at_1
value: 13.575000000000001
- type: recall_at_10
value: 30.794
- type: recall_at_100
value: 54.02400000000001
- type: recall_at_1000
value: 81.634
- type: recall_at_3
value: 21.095
- type: recall_at_5
value: 25.25
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 14.915999999999999
- type: map_at_10
value: 20.976
- type: map_at_100
value: 22.127
- type: map_at_1000
value: 22.329
- type: map_at_3
value: 19.62
- type: map_at_5
value: 20.247999999999998
- type: mrr_at_1
value: 18.379
- type: mrr_at_10
value: 24.822
- type: mrr_at_100
value: 25.765
- type: mrr_at_1000
value: 25.852000000000004
- type: mrr_at_3
value: 23.551
- type: mrr_at_5
value: 24.193
- type: ndcg_at_1
value: 18.379
- type: ndcg_at_10
value: 24.956999999999997
- type: ndcg_at_100
value: 30.224
- type: ndcg_at_1000
value: 33.883
- type: ndcg_at_3
value: 23.094
- type: ndcg_at_5
value: 23.659
- type: precision_at_1
value: 18.379
- type: precision_at_10
value: 4.802
- type: precision_at_100
value: 1.105
- type: precision_at_1000
value: 0.2
- type: precision_at_3
value: 11.462
- type: precision_at_5
value: 7.826
- type: recall_at_1
value: 14.915999999999999
- type: recall_at_10
value: 31.902
- type: recall_at_100
value: 57.296
- type: recall_at_1000
value: 82.107
- type: recall_at_3
value: 25.013
- type: recall_at_5
value: 27.281
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 12.237
- type: map_at_10
value: 15.703
- type: map_at_100
value: 16.522000000000002
- type: map_at_1000
value: 16.631999999999998
- type: map_at_3
value: 14.455000000000002
- type: map_at_5
value: 14.982000000000001
- type: mrr_at_1
value: 13.309000000000001
- type: mrr_at_10
value: 17.068
- type: mrr_at_100
value: 17.904
- type: mrr_at_1000
value: 18.004
- type: mrr_at_3
value: 15.712000000000002
- type: mrr_at_5
value: 16.285
- type: ndcg_at_1
value: 13.309000000000001
- type: ndcg_at_10
value: 18.205
- type: ndcg_at_100
value: 22.68
- type: ndcg_at_1000
value: 25.901000000000003
- type: ndcg_at_3
value: 15.472
- type: ndcg_at_5
value: 16.436
- type: precision_at_1
value: 13.309000000000001
- type: precision_at_10
value: 2.791
- type: precision_at_100
value: 0.538
- type: precision_at_1000
value: 0.086
- type: precision_at_3
value: 6.346
- type: precision_at_5
value: 4.324999999999999
- type: recall_at_1
value: 12.237
- type: recall_at_10
value: 24.88
- type: recall_at_100
value: 46.017
- type: recall_at_1000
value: 71.029
- type: recall_at_3
value: 17.197000000000003
- type: recall_at_5
value: 19.6
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 6.732
- type: map_at_10
value: 12.674
- type: map_at_100
value: 14.257
- type: map_at_1000
value: 14.463999999999999
- type: map_at_3
value: 10.355
- type: map_at_5
value: 11.524
- type: mrr_at_1
value: 15.831000000000001
- type: mrr_at_10
value: 25.972
- type: mrr_at_100
value: 27.107999999999997
- type: mrr_at_1000
value: 27.167
- type: mrr_at_3
value: 22.637999999999998
- type: mrr_at_5
value: 24.319
- type: ndcg_at_1
value: 15.831000000000001
- type: ndcg_at_10
value: 19.244
- type: ndcg_at_100
value: 26.329
- type: ndcg_at_1000
value: 30.270999999999997
- type: ndcg_at_3
value: 14.966
- type: ndcg_at_5
value: 16.377
- type: precision_at_1
value: 15.831000000000001
- type: precision_at_10
value: 6.404
- type: precision_at_100
value: 1.403
- type: precision_at_1000
value: 0.212
- type: precision_at_3
value: 11.64
- type: precision_at_5
value: 9.134
- type: recall_at_1
value: 6.732
- type: recall_at_10
value: 24.855
- type: recall_at_100
value: 49.730000000000004
- type: recall_at_1000
value: 72.214
- type: recall_at_3
value: 14.299000000000001
- type: recall_at_5
value: 18.363
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 4.529
- type: map_at_10
value: 9.075999999999999
- type: map_at_100
value: 12.394
- type: map_at_1000
value: 13.272999999999998
- type: map_at_3
value: 6.688
- type: map_at_5
value: 7.803
- type: mrr_at_1
value: 36.25
- type: mrr_at_10
value: 46.867
- type: mrr_at_100
value: 47.654
- type: mrr_at_1000
value: 47.679
- type: mrr_at_3
value: 43.791999999999994
- type: mrr_at_5
value: 45.742
- type: ndcg_at_1
value: 26.75
- type: ndcg_at_10
value: 21.146
- type: ndcg_at_100
value: 25.113999999999997
- type: ndcg_at_1000
value: 31.873
- type: ndcg_at_3
value: 23.142
- type: ndcg_at_5
value: 22.273
- type: precision_at_1
value: 36.25
- type: precision_at_10
value: 18.25
- type: precision_at_100
value: 6.16
- type: precision_at_1000
value: 1.34
- type: precision_at_3
value: 27.250000000000004
- type: precision_at_5
value: 23.75
- type: recall_at_1
value: 4.529
- type: recall_at_10
value: 13.442000000000002
- type: recall_at_100
value: 32.534
- type: recall_at_1000
value: 55.346
- type: recall_at_3
value: 7.771999999999999
- type: recall_at_5
value: 10.061
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 37.89000000000001
- type: f1
value: 34.12692942265391
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 16.28
- type: map_at_10
value: 24.729
- type: map_at_100
value: 25.785999999999998
- type: map_at_1000
value: 25.855
- type: map_at_3
value: 22.083
- type: map_at_5
value: 23.534
- type: mrr_at_1
value: 17.462
- type: mrr_at_10
value: 26.358999999999998
- type: mrr_at_100
value: 27.412
- type: mrr_at_1000
value: 27.473
- type: mrr_at_3
value: 23.615
- type: mrr_at_5
value: 25.115
- type: ndcg_at_1
value: 17.462
- type: ndcg_at_10
value: 29.885
- type: ndcg_at_100
value: 35.268
- type: ndcg_at_1000
value: 37.203
- type: ndcg_at_3
value: 24.397
- type: ndcg_at_5
value: 26.995
- type: precision_at_1
value: 17.462
- type: precision_at_10
value: 4.851
- type: precision_at_100
value: 0.77
- type: precision_at_1000
value: 0.095
- type: precision_at_3
value: 10.666
- type: precision_at_5
value: 7.762
- type: recall_at_1
value: 16.28
- type: recall_at_10
value: 44.554
- type: recall_at_100
value: 69.736
- type: recall_at_1000
value: 84.654
- type: recall_at_3
value: 29.529
- type: recall_at_5
value: 35.789
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 7.406
- type: map_at_10
value: 12.162
- type: map_at_100
value: 13.501
- type: map_at_1000
value: 13.700000000000001
- type: map_at_3
value: 10.282
- type: map_at_5
value: 11.182
- type: mrr_at_1
value: 14.969
- type: mrr_at_10
value: 21.453
- type: mrr_at_100
value: 22.579
- type: mrr_at_1000
value: 22.665
- type: mrr_at_3
value: 19.084
- type: mrr_at_5
value: 20.233999999999998
- type: ndcg_at_1
value: 14.969
- type: ndcg_at_10
value: 17.022000000000002
- type: ndcg_at_100
value: 23.415
- type: ndcg_at_1000
value: 27.811000000000003
- type: ndcg_at_3
value: 14.191999999999998
- type: ndcg_at_5
value: 15.026
- type: precision_at_1
value: 14.969
- type: precision_at_10
value: 4.954
- type: precision_at_100
value: 1.133
- type: precision_at_1000
value: 0.191
- type: precision_at_3
value: 9.516
- type: precision_at_5
value: 7.191
- type: recall_at_1
value: 7.406
- type: recall_at_10
value: 22.404
- type: recall_at_100
value: 47.351
- type: recall_at_1000
value: 74.701
- type: recall_at_3
value: 13.108
- type: recall_at_5
value: 16.531000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 20.662
- type: map_at_10
value: 28.956
- type: map_at_100
value: 29.942999999999998
- type: map_at_1000
value: 30.052
- type: map_at_3
value: 26.767999999999997
- type: map_at_5
value: 28.011000000000003
- type: mrr_at_1
value: 41.323
- type: mrr_at_10
value: 49.242999999999995
- type: mrr_at_100
value: 49.97
- type: mrr_at_1000
value: 50.016000000000005
- type: mrr_at_3
value: 47.207
- type: mrr_at_5
value: 48.364000000000004
- type: ndcg_at_1
value: 41.323
- type: ndcg_at_10
value: 36.756
- type: ndcg_at_100
value: 41.189
- type: ndcg_at_1000
value: 43.667
- type: ndcg_at_3
value: 32.690999999999995
- type: ndcg_at_5
value: 34.703
- type: precision_at_1
value: 41.323
- type: precision_at_10
value: 8.015
- type: precision_at_100
value: 1.155
- type: precision_at_1000
value: 0.148
- type: precision_at_3
value: 20.612
- type: precision_at_5
value: 13.961000000000002
- type: recall_at_1
value: 20.662
- type: recall_at_10
value: 40.074
- type: recall_at_100
value: 57.745000000000005
- type: recall_at_1000
value: 74.24
- type: recall_at_3
value: 30.918
- type: recall_at_5
value: 34.902
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 64.62239999999998
- type: ap
value: 59.505106899987936
- type: f1
value: 64.39587267286105
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 6.507000000000001
- type: map_at_10
value: 11.542
- type: map_at_100
value: 12.542
- type: map_at_1000
value: 12.658
- type: map_at_3
value: 9.67
- type: map_at_5
value: 10.631
- type: mrr_at_1
value: 6.705
- type: mrr_at_10
value: 11.857
- type: mrr_at_100
value: 12.863
- type: mrr_at_1000
value: 12.974
- type: mrr_at_3
value: 9.957
- type: mrr_at_5
value: 10.933
- type: ndcg_at_1
value: 6.705
- type: ndcg_at_10
value: 14.764
- type: ndcg_at_100
value: 20.258000000000003
- type: ndcg_at_1000
value: 23.685000000000002
- type: ndcg_at_3
value: 10.809000000000001
- type: ndcg_at_5
value: 12.543000000000001
- type: precision_at_1
value: 6.705
- type: precision_at_10
value: 2.579
- type: precision_at_100
value: 0.543
- type: precision_at_1000
value: 0.084
- type: precision_at_3
value: 4.771
- type: precision_at_5
value: 3.734
- type: recall_at_1
value: 6.507000000000001
- type: recall_at_10
value: 24.842
- type: recall_at_100
value: 51.697
- type: recall_at_1000
value: 79.081
- type: recall_at_3
value: 13.828
- type: recall_at_5
value: 18.009
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 84.40264477884178
- type: f1
value: 83.43871348215795
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 54.90196078431372
- type: f1
value: 35.66115135754105
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 61.371889710827176
- type: f1
value: 58.91304009131599
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 67.52185608607937
- type: f1
value: 66.27921261407421
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 30.40912967319626
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 26.77476593032722
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 30.522211560565317
- type: mrr
value: 31.540554976019745
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 2.871
- type: map_at_10
value: 6.643000000000001
- type: map_at_100
value: 8.801
- type: map_at_1000
value: 9.961
- type: map_at_3
value: 4.862
- type: map_at_5
value: 5.704
- type: mrr_at_1
value: 29.102
- type: mrr_at_10
value: 38.79
- type: mrr_at_100
value: 39.616
- type: mrr_at_1000
value: 39.659
- type: mrr_at_3
value: 35.913000000000004
- type: mrr_at_5
value: 37.74
- type: ndcg_at_1
value: 27.554000000000002
- type: ndcg_at_10
value: 22.215
- type: ndcg_at_100
value: 21.386
- type: ndcg_at_1000
value: 30.615
- type: ndcg_at_3
value: 25.546000000000003
- type: ndcg_at_5
value: 24.425
- type: precision_at_1
value: 29.102
- type: precision_at_10
value: 17.121
- type: precision_at_100
value: 6.146
- type: precision_at_1000
value: 1.9029999999999998
- type: precision_at_3
value: 24.871
- type: precision_at_5
value: 22.291
- type: recall_at_1
value: 2.871
- type: recall_at_10
value: 10.184999999999999
- type: recall_at_100
value: 24.057000000000002
- type: recall_at_1000
value: 56.788000000000004
- type: recall_at_3
value: 5.606
- type: recall_at_5
value: 7.353
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 10.455
- type: map_at_10
value: 17.904999999999998
- type: map_at_100
value: 19.215
- type: map_at_1000
value: 19.314
- type: map_at_3
value: 15.133
- type: map_at_5
value: 16.624
- type: mrr_at_1
value: 11.906
- type: mrr_at_10
value: 19.595000000000002
- type: mrr_at_100
value: 20.765
- type: mrr_at_1000
value: 20.845
- type: mrr_at_3
value: 16.7
- type: mrr_at_5
value: 18.314
- type: ndcg_at_1
value: 11.906
- type: ndcg_at_10
value: 22.733999999999998
- type: ndcg_at_100
value: 29.179
- type: ndcg_at_1000
value: 31.848
- type: ndcg_at_3
value: 16.98
- type: ndcg_at_5
value: 19.695
- type: precision_at_1
value: 11.906
- type: precision_at_10
value: 4.234999999999999
- type: precision_at_100
value: 0.79
- type: precision_at_1000
value: 0.105
- type: precision_at_3
value: 7.976
- type: precision_at_5
value: 6.286
- type: recall_at_1
value: 10.455
- type: recall_at_10
value: 36.114000000000004
- type: recall_at_100
value: 65.742
- type: recall_at_1000
value: 86.22800000000001
- type: recall_at_3
value: 20.826
- type: recall_at_5
value: 27.165
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 63.336000000000006
- type: map_at_10
value: 76.859
- type: map_at_100
value: 77.679
- type: map_at_1000
value: 77.705
- type: map_at_3
value: 73.681
- type: map_at_5
value: 75.558
- type: mrr_at_1
value: 73.13
- type: mrr_at_10
value: 80.757
- type: mrr_at_100
value: 80.99300000000001
- type: mrr_at_1000
value: 80.99499999999999
- type: mrr_at_3
value: 79.267
- type: mrr_at_5
value: 80.209
- type: ndcg_at_1
value: 73.15
- type: ndcg_at_10
value: 81.693
- type: ndcg_at_100
value: 83.733
- type: ndcg_at_1000
value: 83.943
- type: ndcg_at_3
value: 77.866
- type: ndcg_at_5
value: 79.779
- type: precision_at_1
value: 73.15
- type: precision_at_10
value: 12.603
- type: precision_at_100
value: 1.51
- type: precision_at_1000
value: 0.156
- type: precision_at_3
value: 34.123
- type: precision_at_5
value: 22.636
- type: recall_at_1
value: 63.336000000000006
- type: recall_at_10
value: 91.36999999999999
- type: recall_at_100
value: 98.831
- type: recall_at_1000
value: 99.901
- type: recall_at_3
value: 80.495
- type: recall_at_5
value: 85.799
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 43.4964655583453
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 48.31404856068323
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.5479999999999996
- type: map_at_10
value: 8.923
- type: map_at_100
value: 11.038
- type: map_at_1000
value: 11.384
- type: map_at_3
value: 6.387
- type: map_at_5
value: 7.646999999999999
- type: mrr_at_1
value: 17.5
- type: mrr_at_10
value: 27.71
- type: mrr_at_100
value: 28.898000000000003
- type: mrr_at_1000
value: 28.96
- type: mrr_at_3
value: 24.282999999999998
- type: mrr_at_5
value: 26.123
- type: ndcg_at_1
value: 17.5
- type: ndcg_at_10
value: 15.831999999999999
- type: ndcg_at_100
value: 24.478
- type: ndcg_at_1000
value: 30.548
- type: ndcg_at_3
value: 14.66
- type: ndcg_at_5
value: 12.969
- type: precision_at_1
value: 17.5
- type: precision_at_10
value: 8.38
- type: precision_at_100
value: 2.103
- type: precision_at_1000
value: 0.356
- type: precision_at_3
value: 13.866999999999999
- type: precision_at_5
value: 11.58
- type: recall_at_1
value: 3.5479999999999996
- type: recall_at_10
value: 16.958000000000002
- type: recall_at_100
value: 42.687999999999995
- type: recall_at_1000
value: 72.173
- type: recall_at_3
value: 8.437999999999999
- type: recall_at_5
value: 11.738
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 77.88215495721286
- type: cos_sim_spearman
value: 66.95635868609415
- type: euclidean_pearson
value: 71.95058611790435
- type: euclidean_spearman
value: 66.95635868609415
- type: manhattan_pearson
value: 71.73499967722593
- type: manhattan_spearman
value: 66.76136105777387
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 72.56521014258115
- type: cos_sim_spearman
value: 64.21841908004934
- type: euclidean_pearson
value: 68.51846331737438
- type: euclidean_spearman
value: 64.21841908004934
- type: manhattan_pearson
value: 68.27567108498233
- type: manhattan_spearman
value: 64.09725470920785
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 72.71775862893193
- type: cos_sim_spearman
value: 73.28911820172492
- type: euclidean_pearson
value: 72.83254599010056
- type: euclidean_spearman
value: 73.28922176679981
- type: manhattan_pearson
value: 72.56589783996398
- type: manhattan_spearman
value: 72.99829341365574
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 73.89757752366668
- type: cos_sim_spearman
value: 68.93443322328304
- type: euclidean_pearson
value: 71.74950262447223
- type: euclidean_spearman
value: 68.93447340804855
- type: manhattan_pearson
value: 71.53131355539159
- type: manhattan_spearman
value: 68.75571712820332
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 80.97565977782956
- type: cos_sim_spearman
value: 81.43311223145955
- type: euclidean_pearson
value: 80.99231321031297
- type: euclidean_spearman
value: 81.43311223145955
- type: manhattan_pearson
value: 80.85980250491755
- type: manhattan_spearman
value: 81.28760623160176
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 75.52199164461821
- type: cos_sim_spearman
value: 76.00370946904079
- type: euclidean_pearson
value: 75.52316904078243
- type: euclidean_spearman
value: 76.00370946904079
- type: manhattan_pearson
value: 75.3120467704852
- type: manhattan_spearman
value: 75.73102913980114
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 84.71078769268394
- type: cos_sim_spearman
value: 84.92569102013795
- type: euclidean_pearson
value: 84.42768434149738
- type: euclidean_spearman
value: 84.92569102013795
- type: manhattan_pearson
value: 84.36599569720875
- type: manhattan_spearman
value: 84.97627760625926
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 60.75551853889779
- type: cos_sim_spearman
value: 59.56097878013177
- type: euclidean_pearson
value: 62.25756001900302
- type: euclidean_spearman
value: 59.56097878013177
- type: manhattan_pearson
value: 61.56622096305194
- type: manhattan_spearman
value: 58.794887940253346
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 78.57502299404004
- type: cos_sim_spearman
value: 76.84123747775618
- type: euclidean_pearson
value: 78.18263544350317
- type: euclidean_spearman
value: 76.84123747775618
- type: manhattan_pearson
value: 78.06611402413624
- type: manhattan_spearman
value: 76.79100666899737
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 82.80038681665185
- type: mrr
value: 94.90057418978986
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 39.056000000000004
- type: map_at_10
value: 48.714
- type: map_at_100
value: 49.653999999999996
- type: map_at_1000
value: 49.706
- type: map_at_3
value: 45.806000000000004
- type: map_at_5
value: 47.5
- type: mrr_at_1
value: 41
- type: mrr_at_10
value: 50.104000000000006
- type: mrr_at_100
value: 50.859
- type: mrr_at_1000
value: 50.903
- type: mrr_at_3
value: 47.556
- type: mrr_at_5
value: 48.972
- type: ndcg_at_1
value: 41
- type: ndcg_at_10
value: 54.144999999999996
- type: ndcg_at_100
value: 58.269999999999996
- type: ndcg_at_1000
value: 59.648
- type: ndcg_at_3
value: 48.451
- type: ndcg_at_5
value: 51.319
- type: precision_at_1
value: 41
- type: precision_at_10
value: 7.7
- type: precision_at_100
value: 0.997
- type: precision_at_1000
value: 0.11199999999999999
- type: precision_at_3
value: 19.444
- type: precision_at_5
value: 13.333
- type: recall_at_1
value: 39.056000000000004
- type: recall_at_10
value: 69.61699999999999
- type: recall_at_100
value: 87.922
- type: recall_at_1000
value: 98.667
- type: recall_at_3
value: 54.193999999999996
- type: recall_at_5
value: 61.138999999999996
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.73762376237623
- type: cos_sim_ap
value: 91.61413659372461
- type: cos_sim_f1
value: 86.34046890927624
- type: cos_sim_precision
value: 88.04573804573805
- type: cos_sim_recall
value: 84.7
- type: dot_accuracy
value: 99.73762376237623
- type: dot_ap
value: 91.61413659372461
- type: dot_f1
value: 86.34046890927624
- type: dot_precision
value: 88.04573804573805
- type: dot_recall
value: 84.7
- type: euclidean_accuracy
value: 99.73762376237623
- type: euclidean_ap
value: 91.61413659372461
- type: euclidean_f1
value: 86.34046890927624
- type: euclidean_precision
value: 88.04573804573805
- type: euclidean_recall
value: 84.7
- type: manhattan_accuracy
value: 99.74059405940594
- type: manhattan_ap
value: 91.56213824792806
- type: manhattan_f1
value: 86.22502628811776
- type: manhattan_precision
value: 90.9090909090909
- type: manhattan_recall
value: 82
- type: max_accuracy
value: 99.74059405940594
- type: max_ap
value: 91.61413659372461
- type: max_f1
value: 86.34046890927624
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 53.09338784502622
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 32.57087655180163
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 41.59188785875835
- type: mrr
value: 41.92390024191495
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 29.69015090602311
- type: cos_sim_spearman
value: 30.124791626004075
- type: dot_pearson
value: 29.69015070868056
- type: dot_spearman
value: 30.09621990241238
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.186
- type: map_at_10
value: 1.2149999999999999
- type: map_at_100
value: 6.516
- type: map_at_1000
value: 14.704999999999998
- type: map_at_3
value: 0.469
- type: map_at_5
value: 0.701
- type: mrr_at_1
value: 72
- type: mrr_at_10
value: 80.238
- type: mrr_at_100
value: 80.622
- type: mrr_at_1000
value: 80.622
- type: mrr_at_3
value: 79.667
- type: mrr_at_5
value: 79.667
- type: ndcg_at_1
value: 64
- type: ndcg_at_10
value: 57.147000000000006
- type: ndcg_at_100
value: 40.5
- type: ndcg_at_1000
value: 33.954
- type: ndcg_at_3
value: 62.754
- type: ndcg_at_5
value: 59.933
- type: precision_at_1
value: 72
- type: precision_at_10
value: 60.6
- type: precision_at_100
value: 42.1
- type: precision_at_1000
value: 15.512
- type: precision_at_3
value: 67.333
- type: precision_at_5
value: 64
- type: recall_at_1
value: 0.186
- type: recall_at_10
value: 1.385
- type: recall_at_100
value: 9.332
- type: recall_at_1000
value: 31.922
- type: recall_at_3
value: 0.503
- type: recall_at_5
value: 0.759
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.0660000000000003
- type: map_at_10
value: 9.783999999999999
- type: map_at_100
value: 16.005
- type: map_at_1000
value: 17.694
- type: map_at_3
value: 4.524
- type: map_at_5
value: 6.651
- type: mrr_at_1
value: 32.653
- type: mrr_at_10
value: 49.26
- type: mrr_at_100
value: 49.791000000000004
- type: mrr_at_1000
value: 49.791000000000004
- type: mrr_at_3
value: 45.238
- type: mrr_at_5
value: 47.177
- type: ndcg_at_1
value: 29.592000000000002
- type: ndcg_at_10
value: 26.35
- type: ndcg_at_100
value: 38.078
- type: ndcg_at_1000
value: 49.222
- type: ndcg_at_3
value: 28.749000000000002
- type: ndcg_at_5
value: 28.156
- type: precision_at_1
value: 32.653
- type: precision_at_10
value: 25.306
- type: precision_at_100
value: 8.449
- type: precision_at_1000
value: 1.559
- type: precision_at_3
value: 31.293
- type: precision_at_5
value: 30.203999999999997
- type: recall_at_1
value: 2.0660000000000003
- type: recall_at_10
value: 17.009
- type: recall_at_100
value: 50.065000000000005
- type: recall_at_1000
value: 84.247
- type: recall_at_3
value: 6.223
- type: recall_at_5
value: 10.062
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 65.9572
- type: ap
value: 11.472412091038306
- type: f1
value: 50.25348253932964
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 49.60384833050367
- type: f1
value: 49.6458985672963
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 32.85259172670649
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 79.30500089408118
- type: cos_sim_ap
value: 48.463983264840934
- type: cos_sim_f1
value: 49.28199791883455
- type: cos_sim_precision
value: 40.687285223367695
- type: cos_sim_recall
value: 62.48021108179419
- type: dot_accuracy
value: 79.30500089408118
- type: dot_ap
value: 48.463988663433994
- type: dot_f1
value: 49.28199791883455
- type: dot_precision
value: 40.687285223367695
- type: dot_recall
value: 62.48021108179419
- type: euclidean_accuracy
value: 79.30500089408118
- type: euclidean_ap
value: 48.463983264840934
- type: euclidean_f1
value: 49.28199791883455
- type: euclidean_precision
value: 40.687285223367695
- type: euclidean_recall
value: 62.48021108179419
- type: manhattan_accuracy
value: 79.2811587292126
- type: manhattan_ap
value: 48.38522593516497
- type: manhattan_f1
value: 49.11896465903435
- type: manhattan_precision
value: 39.440447641886486
- type: manhattan_recall
value: 65.09234828496042
- type: max_accuracy
value: 79.30500089408118
- type: max_ap
value: 48.463988663433994
- type: max_f1
value: 49.28199791883455
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 86.58167423448597
- type: cos_sim_ap
value: 80.70276946703169
- type: cos_sim_f1
value: 73.6376389338513
- type: cos_sim_precision
value: 69.10146492945385
- type: cos_sim_recall
value: 78.81121034801355
- type: dot_accuracy
value: 86.58167423448597
- type: dot_ap
value: 80.70276237270826
- type: dot_f1
value: 73.6376389338513
- type: dot_precision
value: 69.10146492945385
- type: dot_recall
value: 78.81121034801355
- type: euclidean_accuracy
value: 86.58167423448597
- type: euclidean_ap
value: 80.70277058558774
- type: euclidean_f1
value: 73.6376389338513
- type: euclidean_precision
value: 69.10146492945385
- type: euclidean_recall
value: 78.81121034801355
- type: manhattan_accuracy
value: 86.47882951061435
- type: manhattan_ap
value: 80.56146544234434
- type: manhattan_f1
value: 73.43608995415659
- type: manhattan_precision
value: 69.1267414203194
- type: manhattan_recall
value: 78.31844779796735
- type: max_accuracy
value: 86.58167423448597
- type: max_ap
value: 80.70277058558774
- type: max_f1
value: 73.6376389338513