metadata
tags:
- mteb
model-index:
- name: nomic_classification
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 71.86567164179104
- type: ap
value: 34.245594561996064
- type: f1
value: 65.69023935040455
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 65.190925
- type: ap
value: 60.21626939955754
- type: f1
value: 64.943414550771
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 34.529999999999994
- type: f1
value: 34.01639094527221
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 21.55
- type: map_at_10
value: 35.416
- type: map_at_100
value: 36.602000000000004
- type: map_at_1000
value: 36.625
- type: map_at_3
value: 30.725
- type: map_at_5
value: 33.35
- type: mrr_at_1
value: 21.906
- type: mrr_at_10
value: 35.553000000000004
- type: mrr_at_100
value: 36.746
- type: mrr_at_1000
value: 36.769
- type: mrr_at_3
value: 30.819999999999997
- type: mrr_at_5
value: 33.495000000000005
- type: ndcg_at_1
value: 21.55
- type: ndcg_at_10
value: 43.527
- type: ndcg_at_100
value: 49.025
- type: ndcg_at_1000
value: 49.586999999999996
- type: ndcg_at_3
value: 33.772000000000006
- type: ndcg_at_5
value: 38.57
- type: precision_at_1
value: 21.55
- type: precision_at_10
value: 6.963
- type: precision_at_100
value: 0.947
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 14.201
- type: precision_at_5
value: 10.882
- type: recall_at_1
value: 21.55
- type: recall_at_10
value: 69.63000000000001
- type: recall_at_100
value: 94.73700000000001
- type: recall_at_1000
value: 99.075
- type: recall_at_3
value: 42.603
- type: recall_at_5
value: 54.410000000000004
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 34.411339757911335
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 24.489247458031933
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 53.582468551652696
- type: mrr
value: 68.10425185771446
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 81.96093442776794
- type: cos_sim_spearman
value: 79.80362560866212
- type: euclidean_pearson
value: 81.2337598243594
- type: euclidean_spearman
value: 79.80362560866212
- type: manhattan_pearson
value: 80.54695854084805
- type: manhattan_spearman
value: 79.70904514032895
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 73.23051948051948
- type: f1
value: 72.48430722973309
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 32.40784337223032
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 23.628387342867686
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 21.909
- type: map_at_10
value: 30.186
- type: map_at_100
value: 31.301000000000002
- type: map_at_1000
value: 31.457
- type: map_at_3
value: 27.752
- type: map_at_5
value: 29.255
- type: mrr_at_1
value: 27.467999999999996
- type: mrr_at_10
value: 35.655
- type: mrr_at_100
value: 36.535000000000004
- type: mrr_at_1000
value: 36.608000000000004
- type: mrr_at_3
value: 33.882
- type: mrr_at_5
value: 34.961999999999996
- type: ndcg_at_1
value: 27.467999999999996
- type: ndcg_at_10
value: 35.17
- type: ndcg_at_100
value: 40.136
- type: ndcg_at_1000
value: 43.254999999999995
- type: ndcg_at_3
value: 31.884
- type: ndcg_at_5
value: 33.532000000000004
- type: precision_at_1
value: 27.467999999999996
- type: precision_at_10
value: 6.694999999999999
- type: precision_at_100
value: 1.133
- type: precision_at_1000
value: 0.17099999999999999
- type: precision_at_3
value: 15.689
- type: precision_at_5
value: 11.302
- type: recall_at_1
value: 21.909
- type: recall_at_10
value: 44.008
- type: recall_at_100
value: 65.989
- type: recall_at_1000
value: 87.046
- type: recall_at_3
value: 33.733000000000004
- type: recall_at_5
value: 38.626
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 17.623
- type: map_at_10
value: 23.324
- type: map_at_100
value: 24.287
- type: map_at_1000
value: 24.410999999999998
- type: map_at_3
value: 21.392
- type: map_at_5
value: 22.477
- type: mrr_at_1
value: 22.229
- type: mrr_at_10
value: 27.71
- type: mrr_at_100
value: 28.523
- type: mrr_at_1000
value: 28.596
- type: mrr_at_3
value: 25.775
- type: mrr_at_5
value: 26.895999999999997
- type: ndcg_at_1
value: 22.229
- type: ndcg_at_10
value: 27.252
- type: ndcg_at_100
value: 31.616
- type: ndcg_at_1000
value: 34.488
- type: ndcg_at_3
value: 23.926
- type: ndcg_at_5
value: 25.467000000000002
- type: precision_at_1
value: 22.229
- type: precision_at_10
value: 5.032
- type: precision_at_100
value: 0.903
- type: precision_at_1000
value: 0.14100000000000001
- type: precision_at_3
value: 11.359
- type: precision_at_5
value: 8.229000000000001
- type: recall_at_1
value: 17.623
- type: recall_at_10
value: 34.613
- type: recall_at_100
value: 53.784
- type: recall_at_1000
value: 73.289
- type: recall_at_3
value: 25.121
- type: recall_at_5
value: 29.132
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 26.368000000000002
- type: map_at_10
value: 35.022
- type: map_at_100
value: 36.187999999999995
- type: map_at_1000
value: 36.278
- type: map_at_3
value: 32.594
- type: map_at_5
value: 33.910000000000004
- type: mrr_at_1
value: 30.596
- type: mrr_at_10
value: 38.29
- type: mrr_at_100
value: 39.225
- type: mrr_at_1000
value: 39.28
- type: mrr_at_3
value: 36.019
- type: mrr_at_5
value: 37.285000000000004
- type: ndcg_at_1
value: 30.596
- type: ndcg_at_10
value: 39.788000000000004
- type: ndcg_at_100
value: 45.214
- type: ndcg_at_1000
value: 47.301
- type: ndcg_at_3
value: 35.28
- type: ndcg_at_5
value: 37.368
- type: precision_at_1
value: 30.596
- type: precision_at_10
value: 6.476
- type: precision_at_100
value: 1.004
- type: precision_at_1000
value: 0.126
- type: precision_at_3
value: 15.758
- type: precision_at_5
value: 10.871
- type: recall_at_1
value: 26.368000000000002
- type: recall_at_10
value: 50.973
- type: recall_at_100
value: 75.357
- type: recall_at_1000
value: 90.476
- type: recall_at_3
value: 38.754
- type: recall_at_5
value: 43.958000000000006
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 13.277
- type: map_at_10
value: 17.374000000000002
- type: map_at_100
value: 18.182000000000002
- type: map_at_1000
value: 18.291
- type: map_at_3
value: 15.982
- type: map_at_5
value: 16.750999999999998
- type: mrr_at_1
value: 14.463000000000001
- type: mrr_at_10
value: 18.637
- type: mrr_at_100
value: 19.448999999999998
- type: mrr_at_1000
value: 19.552
- type: mrr_at_3
value: 17.232
- type: mrr_at_5
value: 18.006
- type: ndcg_at_1
value: 14.463000000000001
- type: ndcg_at_10
value: 20.063
- type: ndcg_at_100
value: 24.509
- type: ndcg_at_1000
value: 27.875
- type: ndcg_at_3
value: 17.238
- type: ndcg_at_5
value: 18.594
- type: precision_at_1
value: 14.463000000000001
- type: precision_at_10
value: 3.0620000000000003
- type: precision_at_100
value: 0.563
- type: precision_at_1000
value: 0.09
- type: precision_at_3
value: 7.269
- type: precision_at_5
value: 5.106999999999999
- type: recall_at_1
value: 13.277
- type: recall_at_10
value: 27.250000000000004
- type: recall_at_100
value: 48.553000000000004
- type: recall_at_1000
value: 74.937
- type: recall_at_3
value: 19.586000000000002
- type: recall_at_5
value: 22.853
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 6.497999999999999
- type: map_at_10
value: 9.888
- type: map_at_100
value: 10.645
- type: map_at_1000
value: 10.775
- type: map_at_3
value: 8.673
- type: map_at_5
value: 9.275
- type: mrr_at_1
value: 8.581999999999999
- type: mrr_at_10
value: 12.365
- type: mrr_at_100
value: 13.156
- type: mrr_at_1000
value: 13.257
- type: mrr_at_3
value: 10.883
- type: mrr_at_5
value: 11.616999999999999
- type: ndcg_at_1
value: 8.581999999999999
- type: ndcg_at_10
value: 12.469
- type: ndcg_at_100
value: 16.564
- type: ndcg_at_1000
value: 20.263
- type: ndcg_at_3
value: 10.001999999999999
- type: ndcg_at_5
value: 11.008
- type: precision_at_1
value: 8.581999999999999
- type: precision_at_10
value: 2.413
- type: precision_at_100
value: 0.525
- type: precision_at_1000
value: 0.098
- type: precision_at_3
value: 4.851
- type: precision_at_5
value: 3.6069999999999998
- type: recall_at_1
value: 6.497999999999999
- type: recall_at_10
value: 18.14
- type: recall_at_100
value: 36.699
- type: recall_at_1000
value: 64.044
- type: recall_at_3
value: 11.245
- type: recall_at_5
value: 13.8
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 17.617
- type: map_at_10
value: 23.912
- type: map_at_100
value: 25.165
- type: map_at_1000
value: 25.298
- type: map_at_3
value: 21.953
- type: map_at_5
value: 23.114
- type: mrr_at_1
value: 22.137
- type: mrr_at_10
value: 28.62
- type: mrr_at_100
value: 29.653000000000002
- type: mrr_at_1000
value: 29.73
- type: mrr_at_3
value: 26.58
- type: mrr_at_5
value: 27.836
- type: ndcg_at_1
value: 22.137
- type: ndcg_at_10
value: 28.138
- type: ndcg_at_100
value: 34.032000000000004
- type: ndcg_at_1000
value: 37.022
- type: ndcg_at_3
value: 24.783
- type: ndcg_at_5
value: 26.512
- type: precision_at_1
value: 22.137
- type: precision_at_10
value: 5.101
- type: precision_at_100
value: 0.971
- type: precision_at_1000
value: 0.14200000000000002
- type: precision_at_3
value: 11.709999999999999
- type: precision_at_5
value: 8.488999999999999
- type: recall_at_1
value: 17.617
- type: recall_at_10
value: 36.367
- type: recall_at_100
value: 61.939
- type: recall_at_1000
value: 82.565
- type: recall_at_3
value: 26.651000000000003
- type: recall_at_5
value: 31.312
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 12.742999999999999
- type: map_at_10
value: 18.634999999999998
- type: map_at_100
value: 19.686
- type: map_at_1000
value: 19.825
- type: map_at_3
value: 16.689999999999998
- type: map_at_5
value: 17.785
- type: mrr_at_1
value: 16.096
- type: mrr_at_10
value: 22.177
- type: mrr_at_100
value: 23.058
- type: mrr_at_1000
value: 23.154
- type: mrr_at_3
value: 20.166999999999998
- type: mrr_at_5
value: 21.263
- type: ndcg_at_1
value: 16.096
- type: ndcg_at_10
value: 22.555
- type: ndcg_at_100
value: 27.561000000000003
- type: ndcg_at_1000
value: 31.012
- type: ndcg_at_3
value: 18.897
- type: ndcg_at_5
value: 20.567
- type: precision_at_1
value: 16.096
- type: precision_at_10
value: 4.326
- type: precision_at_100
value: 0.8130000000000001
- type: precision_at_1000
value: 0.129
- type: precision_at_3
value: 9.209
- type: precision_at_5
value: 6.804
- type: recall_at_1
value: 12.742999999999999
- type: recall_at_10
value: 31.034
- type: recall_at_100
value: 52.913
- type: recall_at_1000
value: 77.389
- type: recall_at_3
value: 20.778
- type: recall_at_5
value: 25.112000000000002
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 14.406833333333333
- type: map_at_10
value: 19.934083333333334
- type: map_at_100
value: 20.85825
- type: map_at_1000
value: 20.98333333333333
- type: map_at_3
value: 18.2575
- type: map_at_5
value: 19.182499999999997
- type: mrr_at_1
value: 17.532666666666668
- type: mrr_at_10
value: 23.07375
- type: mrr_at_100
value: 23.89891666666667
- type: mrr_at_1000
value: 23.984416666666668
- type: mrr_at_3
value: 21.403166666666664
- type: mrr_at_5
value: 22.338
- type: ndcg_at_1
value: 17.532666666666668
- type: ndcg_at_10
value: 23.479833333333332
- type: ndcg_at_100
value: 28.046916666666664
- type: ndcg_at_1000
value: 31.1955
- type: ndcg_at_3
value: 20.464666666666666
- type: ndcg_at_5
value: 21.841500000000003
- type: precision_at_1
value: 17.532666666666668
- type: precision_at_10
value: 4.1924166666666665
- type: precision_at_100
value: 0.7695833333333333
- type: precision_at_1000
value: 0.12216666666666667
- type: precision_at_3
value: 9.573
- type: precision_at_5
value: 6.846333333333334
- type: recall_at_1
value: 14.406833333333333
- type: recall_at_10
value: 31.059000000000005
- type: recall_at_100
value: 51.878999999999984
- type: recall_at_1000
value: 74.73100000000001
- type: recall_at_3
value: 22.483916666666666
- type: recall_at_5
value: 26.078250000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 10.663
- type: map_at_10
value: 15.082999999999998
- type: map_at_100
value: 15.715000000000002
- type: map_at_1000
value: 15.792
- type: map_at_3
value: 13.69
- type: map_at_5
value: 14.334
- type: mrr_at_1
value: 12.883
- type: mrr_at_10
value: 17.253
- type: mrr_at_100
value: 17.897
- type: mrr_at_1000
value: 17.967
- type: mrr_at_3
value: 15.848999999999998
- type: mrr_at_5
value: 16.516000000000002
- type: ndcg_at_1
value: 12.883
- type: ndcg_at_10
value: 18.035999999999998
- type: ndcg_at_100
value: 21.682000000000002
- type: ndcg_at_1000
value: 24.154
- type: ndcg_at_3
value: 15.343000000000002
- type: ndcg_at_5
value: 16.342000000000002
- type: precision_at_1
value: 12.883
- type: precision_at_10
value: 3.16
- type: precision_at_100
value: 0.5459999999999999
- type: precision_at_1000
value: 0.083
- type: precision_at_3
value: 7.106
- type: precision_at_5
value: 5
- type: recall_at_1
value: 10.663
- type: recall_at_10
value: 25.131999999999998
- type: recall_at_100
value: 42.794
- type: recall_at_1000
value: 61.895999999999994
- type: recall_at_3
value: 17.408
- type: recall_at_5
value: 19.972
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 7.84
- type: map_at_10
value: 11.468
- type: map_at_100
value: 12.093
- type: map_at_1000
value: 12.218
- type: map_at_3
value: 10.407
- type: map_at_5
value: 10.994
- type: mrr_at_1
value: 9.635
- type: mrr_at_10
value: 13.725999999999999
- type: mrr_at_100
value: 14.350999999999999
- type: mrr_at_1000
value: 14.457
- type: mrr_at_3
value: 12.479999999999999
- type: mrr_at_5
value: 13.177
- type: ndcg_at_1
value: 9.635
- type: ndcg_at_10
value: 13.883000000000001
- type: ndcg_at_100
value: 17.405
- type: ndcg_at_1000
value: 20.951
- type: ndcg_at_3
value: 11.841
- type: ndcg_at_5
value: 12.792
- type: precision_at_1
value: 9.635
- type: precision_at_10
value: 2.581
- type: precision_at_100
value: 0.523
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 5.689
- type: precision_at_5
value: 4.178
- type: recall_at_1
value: 7.84
- type: recall_at_10
value: 18.947
- type: recall_at_100
value: 35.474
- type: recall_at_1000
value: 61.73800000000001
- type: recall_at_3
value: 13.311
- type: recall_at_5
value: 15.661
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 12.769
- type: map_at_10
value: 17.686
- type: map_at_100
value: 18.549
- type: map_at_1000
value: 18.672
- type: map_at_3
value: 16.253999999999998
- type: map_at_5
value: 17.000999999999998
- type: mrr_at_1
value: 15.392
- type: mrr_at_10
value: 20.598
- type: mrr_at_100
value: 21.468999999999998
- type: mrr_at_1000
value: 21.567
- type: mrr_at_3
value: 19.061
- type: mrr_at_5
value: 19.835
- type: ndcg_at_1
value: 15.392
- type: ndcg_at_10
value: 20.961
- type: ndcg_at_100
value: 25.308000000000003
- type: ndcg_at_1000
value: 28.685
- type: ndcg_at_3
value: 18.151
- type: ndcg_at_5
value: 19.317999999999998
- type: precision_at_1
value: 15.392
- type: precision_at_10
value: 3.582
- type: precision_at_100
value: 0.628
- type: precision_at_1000
value: 0.104
- type: precision_at_3
value: 8.396
- type: precision_at_5
value: 5.821
- type: recall_at_1
value: 12.769
- type: recall_at_10
value: 28.26
- type: recall_at_100
value: 47.811
- type: recall_at_1000
value: 72.509
- type: recall_at_3
value: 20.357
- type: recall_at_5
value: 23.401
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 14.102
- type: map_at_10
value: 20.848
- type: map_at_100
value: 21.936
- type: map_at_1000
value: 22.125
- type: map_at_3
value: 19.093
- type: map_at_5
value: 20.074
- type: mrr_at_1
value: 17.787
- type: mrr_at_10
value: 24.442
- type: mrr_at_100
value: 25.296999999999997
- type: mrr_at_1000
value: 25.377
- type: mrr_at_3
value: 22.858999999999998
- type: mrr_at_5
value: 23.827
- type: ndcg_at_1
value: 17.787
- type: ndcg_at_10
value: 25.006
- type: ndcg_at_100
value: 29.798000000000002
- type: ndcg_at_1000
value: 33.355000000000004
- type: ndcg_at_3
value: 22.293
- type: ndcg_at_5
value: 23.555
- type: precision_at_1
value: 17.787
- type: precision_at_10
value: 4.96
- type: precision_at_100
value: 1.083
- type: precision_at_1000
value: 0.192
- type: precision_at_3
value: 11.001
- type: precision_at_5
value: 7.904999999999999
- type: recall_at_1
value: 14.102
- type: recall_at_10
value: 32.765
- type: recall_at_100
value: 55.206
- type: recall_at_1000
value: 79.739
- type: recall_at_3
value: 24.52
- type: recall_at_5
value: 28.175
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 11.472999999999999
- type: map_at_10
value: 15.783
- type: map_at_100
value: 16.552
- type: map_at_1000
value: 16.658
- type: map_at_3
value: 14.610000000000001
- type: map_at_5
value: 15.22
- type: mrr_at_1
value: 13.123999999999999
- type: mrr_at_10
value: 17.412
- type: mrr_at_100
value: 18.174
- type: mrr_at_1000
value: 18.268
- type: mrr_at_3
value: 16.051000000000002
- type: mrr_at_5
value: 16.836000000000002
- type: ndcg_at_1
value: 13.123999999999999
- type: ndcg_at_10
value: 18.437
- type: ndcg_at_100
value: 22.738
- type: ndcg_at_1000
value: 25.985000000000003
- type: ndcg_at_3
value: 15.937999999999999
- type: ndcg_at_5
value: 17.043
- type: precision_at_1
value: 13.123999999999999
- type: precision_at_10
value: 2.921
- type: precision_at_100
value: 0.543
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 6.839
- type: precision_at_5
value: 4.843
- type: recall_at_1
value: 11.472999999999999
- type: recall_at_10
value: 25.219
- type: recall_at_100
value: 46.028999999999996
- type: recall_at_1000
value: 71.14399999999999
- type: recall_at_3
value: 18.343
- type: recall_at_5
value: 20.937
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 6.212
- type: map_at_10
value: 11.229
- type: map_at_100
value: 12.620999999999999
- type: map_at_1000
value: 12.812999999999999
- type: map_at_3
value: 9.027000000000001
- type: map_at_5
value: 10.135
- type: mrr_at_1
value: 13.29
- type: mrr_at_10
value: 22.08
- type: mrr_at_100
value: 23.244
- type: mrr_at_1000
value: 23.311999999999998
- type: mrr_at_3
value: 19.012
- type: mrr_at_5
value: 20.787
- type: ndcg_at_1
value: 13.29
- type: ndcg_at_10
value: 16.852
- type: ndcg_at_100
value: 23.425
- type: ndcg_at_1000
value: 27.465
- type: ndcg_at_3
value: 12.653
- type: ndcg_at_5
value: 14.24
- type: precision_at_1
value: 13.29
- type: precision_at_10
value: 5.7
- type: precision_at_100
value: 1.28
- type: precision_at_1000
value: 0.201
- type: precision_at_3
value: 9.707
- type: precision_at_5
value: 7.9479999999999995
- type: recall_at_1
value: 6.212
- type: recall_at_10
value: 21.806
- type: recall_at_100
value: 45.243
- type: recall_at_1000
value: 68.709
- type: recall_at_3
value: 11.941
- type: recall_at_5
value: 15.844
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 4.373
- type: map_at_10
value: 9.591
- type: map_at_100
value: 13.075000000000001
- type: map_at_1000
value: 14.018
- type: map_at_3
value: 6.93
- type: map_at_5
value: 8.189
- type: mrr_at_1
value: 40
- type: mrr_at_10
value: 49.713
- type: mrr_at_100
value: 50.497
- type: mrr_at_1000
value: 50.527
- type: mrr_at_3
value: 47.083000000000006
- type: mrr_at_5
value: 48.333
- type: ndcg_at_1
value: 28.875
- type: ndcg_at_10
value: 23.486
- type: ndcg_at_100
value: 26.192
- type: ndcg_at_1000
value: 32.922000000000004
- type: ndcg_at_3
value: 26.246000000000002
- type: ndcg_at_5
value: 24.769
- type: precision_at_1
value: 40
- type: precision_at_10
value: 20.5
- type: precision_at_100
value: 6.3950000000000005
- type: precision_at_1000
value: 1.362
- type: precision_at_3
value: 30.917
- type: precision_at_5
value: 26.150000000000002
- type: recall_at_1
value: 4.373
- type: recall_at_10
value: 14.041999999999998
- type: recall_at_100
value: 32.055
- type: recall_at_1000
value: 54.351000000000006
- type: recall_at_3
value: 8.208
- type: recall_at_5
value: 10.615
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 45.045
- type: f1
value: 41.00531027586712
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 14.998000000000001
- type: map_at_10
value: 22.807
- type: map_at_100
value: 23.74
- type: map_at_1000
value: 23.816000000000003
- type: map_at_3
value: 20.333000000000002
- type: map_at_5
value: 21.712999999999997
- type: mrr_at_1
value: 16.006999999999998
- type: mrr_at_10
value: 24.233
- type: mrr_at_100
value: 25.163000000000004
- type: mrr_at_1000
value: 25.229000000000003
- type: mrr_at_3
value: 21.634999999999998
- type: mrr_at_5
value: 23.098
- type: ndcg_at_1
value: 16.006999999999998
- type: ndcg_at_10
value: 27.578000000000003
- type: ndcg_at_100
value: 32.391
- type: ndcg_at_1000
value: 34.504000000000005
- type: ndcg_at_3
value: 22.457
- type: ndcg_at_5
value: 24.947
- type: precision_at_1
value: 16.006999999999998
- type: precision_at_10
value: 4.487
- type: precision_at_100
value: 0.707
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 9.780999999999999
- type: precision_at_5
value: 7.2010000000000005
- type: recall_at_1
value: 14.998000000000001
- type: recall_at_10
value: 41.201
- type: recall_at_100
value: 63.800000000000004
- type: recall_at_1000
value: 80.15299999999999
- type: recall_at_3
value: 27.288
- type: recall_at_5
value: 33.263999999999996
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 6.297
- type: map_at_10
value: 10.769
- type: map_at_100
value: 11.923
- type: map_at_1000
value: 12.117
- type: map_at_3
value: 9.28
- type: map_at_5
value: 10.001
- type: mrr_at_1
value: 12.963
- type: mrr_at_10
value: 18.951999999999998
- type: mrr_at_100
value: 19.976
- type: mrr_at_1000
value: 20.073
- type: mrr_at_3
value: 16.847
- type: mrr_at_5
value: 17.904
- type: ndcg_at_1
value: 12.963
- type: ndcg_at_10
value: 14.979999999999999
- type: ndcg_at_100
value: 20.588
- type: ndcg_at_1000
value: 25.121
- type: ndcg_at_3
value: 12.697
- type: ndcg_at_5
value: 13.337
- type: precision_at_1
value: 12.963
- type: precision_at_10
value: 4.367
- type: precision_at_100
value: 0.9950000000000001
- type: precision_at_1000
value: 0.17700000000000002
- type: precision_at_3
value: 8.693
- type: precision_at_5
value: 6.419999999999999
- type: recall_at_1
value: 6.297
- type: recall_at_10
value: 19.400000000000002
- type: recall_at_100
value: 41.400999999999996
- type: recall_at_1000
value: 70.163
- type: recall_at_3
value: 11.884
- type: recall_at_5
value: 14.549999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 17.677
- type: map_at_10
value: 24.685000000000002
- type: map_at_100
value: 25.604
- type: map_at_1000
value: 25.717000000000002
- type: map_at_3
value: 22.747
- type: map_at_5
value: 23.846
- type: mrr_at_1
value: 35.354
- type: mrr_at_10
value: 42.126999999999995
- type: mrr_at_100
value: 42.867
- type: mrr_at_1000
value: 42.925000000000004
- type: mrr_at_3
value: 40.241
- type: mrr_at_5
value: 41.3
- type: ndcg_at_1
value: 35.354
- type: ndcg_at_10
value: 31.438
- type: ndcg_at_100
value: 35.666
- type: ndcg_at_1000
value: 38.346000000000004
- type: ndcg_at_3
value: 27.766999999999996
- type: ndcg_at_5
value: 29.572
- type: precision_at_1
value: 35.354
- type: precision_at_10
value: 6.8870000000000005
- type: precision_at_100
value: 1.026
- type: precision_at_1000
value: 0.13799999999999998
- type: precision_at_3
value: 17.424999999999997
- type: precision_at_5
value: 11.889
- type: recall_at_1
value: 17.677
- type: recall_at_10
value: 34.436
- type: recall_at_100
value: 51.303
- type: recall_at_1000
value: 69.18299999999999
- type: recall_at_3
value: 26.138
- type: recall_at_5
value: 29.723
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 64.3004
- type: ap
value: 59.425036750361784
- type: f1
value: 64.15840309881166
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 6.418
- type: map_at_10
value: 11.181000000000001
- type: map_at_100
value: 12.078
- type: map_at_1000
value: 12.18
- type: map_at_3
value: 9.414
- type: map_at_5
value: 10.359
- type: mrr_at_1
value: 6.59
- type: mrr_at_10
value: 11.479000000000001
- type: mrr_at_100
value: 12.377
- type: mrr_at_1000
value: 12.475
- type: mrr_at_3
value: 9.678
- type: mrr_at_5
value: 10.639999999999999
- type: ndcg_at_1
value: 6.59
- type: ndcg_at_10
value: 14.152000000000001
- type: ndcg_at_100
value: 19.037000000000003
- type: ndcg_at_1000
value: 22.125
- type: ndcg_at_3
value: 10.456
- type: ndcg_at_5
value: 12.166
- type: precision_at_1
value: 6.59
- type: precision_at_10
value: 2.436
- type: precision_at_100
value: 0.49699999999999994
- type: precision_at_1000
value: 0.076
- type: precision_at_3
value: 4.556
- type: precision_at_5
value: 3.6020000000000003
- type: recall_at_1
value: 6.418
- type: recall_at_10
value: 23.385
- type: recall_at_100
value: 47.169
- type: recall_at_1000
value: 71.995
- type: recall_at_3
value: 13.209000000000001
- type: recall_at_5
value: 17.335
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 89.67852257181941
- type: f1
value: 88.95204075691726
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 60.597355221158224
- type: f1
value: 41.690585365044186
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 63.056489576328175
- type: f1
value: 60.956720996001664
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 69.88231338264963
- type: f1
value: 68.65445434231955
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 28.16245614593283
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 25.243876419694487
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 29.22788130698314
- type: mrr
value: 30.181799152132406
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 3.611
- type: map_at_10
value: 7.911
- type: map_at_100
value: 9.895
- type: map_at_1000
value: 11.193999999999999
- type: map_at_3
value: 5.93
- type: map_at_5
value: 6.979
- type: mrr_at_1
value: 32.817
- type: mrr_at_10
value: 42.955
- type: mrr_at_100
value: 43.657000000000004
- type: mrr_at_1000
value: 43.723
- type: mrr_at_3
value: 40.351
- type: mrr_at_5
value: 42.224000000000004
- type: ndcg_at_1
value: 30.186
- type: ndcg_at_10
value: 24.783
- type: ndcg_at_100
value: 22.906000000000002
- type: ndcg_at_1000
value: 32.609
- type: ndcg_at_3
value: 27.786
- type: ndcg_at_5
value: 27.322999999999997
- type: precision_at_1
value: 32.817
- type: precision_at_10
value: 18.39
- type: precision_at_100
value: 6.297
- type: precision_at_1000
value: 1.9539999999999997
- type: precision_at_3
value: 26.625
- type: precision_at_5
value: 24.149
- type: recall_at_1
value: 3.611
- type: recall_at_10
value: 12.184000000000001
- type: recall_at_100
value: 24.642
- type: recall_at_1000
value: 59.829
- type: recall_at_3
value: 7.317
- type: recall_at_5
value: 9.702
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 9.258
- type: map_at_10
value: 15.838
- type: map_at_100
value: 16.97
- type: map_at_1000
value: 17.072000000000003
- type: map_at_3
value: 13.285
- type: map_at_5
value: 14.606
- type: mrr_at_1
value: 10.545
- type: mrr_at_10
value: 17.453
- type: mrr_at_100
value: 18.516
- type: mrr_at_1000
value: 18.601
- type: mrr_at_3
value: 14.813
- type: mrr_at_5
value: 16.189999999999998
- type: ndcg_at_1
value: 10.545
- type: ndcg_at_10
value: 20.278
- type: ndcg_at_100
value: 26.200000000000003
- type: ndcg_at_1000
value: 28.956
- type: ndcg_at_3
value: 14.963000000000001
- type: ndcg_at_5
value: 17.347
- type: precision_at_1
value: 10.545
- type: precision_at_10
value: 3.8350000000000004
- type: precision_at_100
value: 0.722
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 7.03
- type: precision_at_5
value: 5.556
- type: recall_at_1
value: 9.258
- type: recall_at_10
value: 32.551
- type: recall_at_100
value: 60.39
- type: recall_at_1000
value: 81.441
- type: recall_at_3
value: 18.346999999999998
- type: recall_at_5
value: 23.947
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 63.037
- type: map_at_10
value: 75.644
- type: map_at_100
value: 76.417
- type: map_at_1000
value: 76.452
- type: map_at_3
value: 72.71600000000001
- type: map_at_5
value: 74.504
- type: mrr_at_1
value: 72.69
- type: mrr_at_10
value: 80.037
- type: mrr_at_100
value: 80.291
- type: mrr_at_1000
value: 80.296
- type: mrr_at_3
value: 78.615
- type: mrr_at_5
value: 79.54
- type: ndcg_at_1
value: 72.75
- type: ndcg_at_10
value: 80.316
- type: ndcg_at_100
value: 82.48299999999999
- type: ndcg_at_1000
value: 82.876
- type: ndcg_at_3
value: 76.778
- type: ndcg_at_5
value: 78.63900000000001
- type: precision_at_1
value: 72.75
- type: precision_at_10
value: 12.110999999999999
- type: precision_at_100
value: 1.452
- type: precision_at_1000
value: 0.154
- type: precision_at_3
value: 33.243
- type: precision_at_5
value: 21.974
- type: recall_at_1
value: 63.037
- type: recall_at_10
value: 89.183
- type: recall_at_100
value: 97.38799999999999
- type: recall_at_1000
value: 99.591
- type: recall_at_3
value: 79.041
- type: recall_at_5
value: 84.25200000000001
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 38.90354115378983
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 45.41196647530998
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.013
- type: map_at_10
value: 6.869
- type: map_at_100
value: 8.216
- type: map_at_1000
value: 8.462
- type: map_at_3
value: 5.042
- type: map_at_5
value: 5.970000000000001
- type: mrr_at_1
value: 14.799999999999999
- type: mrr_at_10
value: 22.184
- type: mrr_at_100
value: 23.485
- type: mrr_at_1000
value: 23.57
- type: mrr_at_3
value: 19.383
- type: mrr_at_5
value: 20.938000000000002
- type: ndcg_at_1
value: 14.799999999999999
- type: ndcg_at_10
value: 12.223
- type: ndcg_at_100
value: 18.508
- type: ndcg_at_1000
value: 23.544
- type: ndcg_at_3
value: 11.488
- type: ndcg_at_5
value: 10.095
- type: precision_at_1
value: 14.799999999999999
- type: precision_at_10
value: 6.329999999999999
- type: precision_at_100
value: 1.546
- type: precision_at_1000
value: 0.27599999999999997
- type: precision_at_3
value: 10.567
- type: precision_at_5
value: 8.799999999999999
- type: recall_at_1
value: 3.013
- type: recall_at_10
value: 12.828000000000001
- type: recall_at_100
value: 31.408
- type: recall_at_1000
value: 56.157000000000004
- type: recall_at_3
value: 6.433
- type: recall_at_5
value: 8.903
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 76.5160077089625
- type: cos_sim_spearman
value: 67.28825297023138
- type: euclidean_pearson
value: 72.39938443269206
- type: euclidean_spearman
value: 67.28835245540397
- type: manhattan_pearson
value: 69.46413862678756
- type: manhattan_spearman
value: 65.04853993701172
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 74.53773965480292
- type: cos_sim_spearman
value: 67.41284745598715
- type: euclidean_pearson
value: 70.57848011423972
- type: euclidean_spearman
value: 67.4141763023251
- type: manhattan_pearson
value: 70.0268534606741
- type: manhattan_spearman
value: 67.8439837728854
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 78.2216356861313
- type: cos_sim_spearman
value: 79.37038668590753
- type: euclidean_pearson
value: 79.01512518225226
- type: euclidean_spearman
value: 79.37042448746669
- type: manhattan_pearson
value: 78.96268955680836
- type: manhattan_spearman
value: 79.54073298193023
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 78.3544215128133
- type: cos_sim_spearman
value: 75.07229525913817
- type: euclidean_pearson
value: 77.35598390483041
- type: euclidean_spearman
value: 75.07228556747974
- type: manhattan_pearson
value: 76.27348311336605
- type: manhattan_spearman
value: 74.50258040498937
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 80.86410111924121
- type: cos_sim_spearman
value: 81.79657437718866
- type: euclidean_pearson
value: 81.77144036632458
- type: euclidean_spearman
value: 81.79657286849607
- type: manhattan_pearson
value: 81.87491956950679
- type: manhattan_spearman
value: 82.16993847726854
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 76.43507688364112
- type: cos_sim_spearman
value: 77.63882301316933
- type: euclidean_pearson
value: 77.25501398026381
- type: euclidean_spearman
value: 77.63965196736244
- type: manhattan_pearson
value: 77.67118978923139
- type: manhattan_spearman
value: 78.01084214592416
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 84.39964672680482
- type: cos_sim_spearman
value: 85.4075592513342
- type: euclidean_pearson
value: 85.111606756296
- type: euclidean_spearman
value: 85.40843260765956
- type: manhattan_pearson
value: 84.8842901249278
- type: manhattan_spearman
value: 85.63868618596224
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 62.75456403534724
- type: cos_sim_spearman
value: 60.22663871632273
- type: euclidean_pearson
value: 62.65086137572171
- type: euclidean_spearman
value: 60.22663871632273
- type: manhattan_pearson
value: 62.250953520717104
- type: manhattan_spearman
value: 60.3533574497436
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 78.68220902816006
- type: cos_sim_spearman
value: 77.52592408424563
- type: euclidean_pearson
value: 78.64874043891504
- type: euclidean_spearman
value: 77.5259126306683
- type: manhattan_pearson
value: 77.84730420742085
- type: manhattan_spearman
value: 76.87780210711085
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 72.3409090022697
- type: mrr
value: 90.91359620771387
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 33.75
- type: map_at_10
value: 42.137
- type: map_at_100
value: 43.376
- type: map_at_1000
value: 43.449
- type: map_at_3
value: 39.856
- type: map_at_5
value: 41.447
- type: mrr_at_1
value: 36
- type: mrr_at_10
value: 44
- type: mrr_at_100
value: 45.057
- type: mrr_at_1000
value: 45.115
- type: mrr_at_3
value: 42.056
- type: mrr_at_5
value: 43.372
- type: ndcg_at_1
value: 36
- type: ndcg_at_10
value: 46.627
- type: ndcg_at_100
value: 52.38
- type: ndcg_at_1000
value: 54.022000000000006
- type: ndcg_at_3
value: 42.341
- type: ndcg_at_5
value: 44.962
- type: precision_at_1
value: 36
- type: precision_at_10
value: 6.4670000000000005
- type: precision_at_100
value: 0.9570000000000001
- type: precision_at_1000
value: 0.11
- type: precision_at_3
value: 17.111
- type: precision_at_5
value: 11.733
- type: recall_at_1
value: 33.75
- type: recall_at_10
value: 58.789
- type: recall_at_100
value: 85.017
- type: recall_at_1000
value: 97.467
- type: recall_at_3
value: 47.067
- type: recall_at_5
value: 53.65
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.70990099009902
- type: cos_sim_ap
value: 91.32913696282823
- type: cos_sim_f1
value: 85.01006036217304
- type: cos_sim_precision
value: 85.52631578947368
- type: cos_sim_recall
value: 84.5
- type: dot_accuracy
value: 99.70990099009902
- type: dot_ap
value: 91.32913696282823
- type: dot_f1
value: 85.01006036217304
- type: dot_precision
value: 85.52631578947368
- type: dot_recall
value: 84.5
- type: euclidean_accuracy
value: 99.70990099009902
- type: euclidean_ap
value: 91.32913696282823
- type: euclidean_f1
value: 85.01006036217304
- type: euclidean_precision
value: 85.52631578947368
- type: euclidean_recall
value: 84.5
- type: manhattan_accuracy
value: 99.76138613861386
- type: manhattan_ap
value: 93.79556639749748
- type: manhattan_f1
value: 87.80246913580247
- type: manhattan_precision
value: 86.73170731707317
- type: manhattan_recall
value: 88.9
- type: max_accuracy
value: 99.76138613861386
- type: max_ap
value: 93.79556639749748
- type: max_f1
value: 87.80246913580247
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 44.241414720398396
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 29.365666490943998
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 43.57844146880517
- type: mrr
value: 44.13609572616926
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.0154193888818
- type: cos_sim_spearman
value: 30.147164982667924
- type: dot_pearson
value: 30.015419367262712
- type: dot_spearman
value: 30.1547894792066
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.11299999999999999
- type: map_at_10
value: 0.707
- type: map_at_100
value: 3.7159999999999997
- type: map_at_1000
value: 9.451
- type: map_at_3
value: 0.296
- type: map_at_5
value: 0.43299999999999994
- type: mrr_at_1
value: 50
- type: mrr_at_10
value: 63.507999999999996
- type: mrr_at_100
value: 63.696
- type: mrr_at_1000
value: 63.696
- type: mrr_at_3
value: 60
- type: mrr_at_5
value: 61.4
- type: ndcg_at_1
value: 43
- type: ndcg_at_10
value: 40.248
- type: ndcg_at_100
value: 30.162
- type: ndcg_at_1000
value: 27.334999999999997
- type: ndcg_at_3
value: 44.665
- type: ndcg_at_5
value: 42.51
- type: precision_at_1
value: 48
- type: precision_at_10
value: 43
- type: precision_at_100
value: 31.36
- type: precision_at_1000
value: 13.475999999999999
- type: precision_at_3
value: 49.333
- type: precision_at_5
value: 46.400000000000006
- type: recall_at_1
value: 0.11299999999999999
- type: recall_at_10
value: 0.968
- type: recall_at_100
value: 6.5329999999999995
- type: recall_at_1000
value: 26.447
- type: recall_at_3
value: 0.33999999999999997
- type: recall_at_5
value: 0.516
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.16
- type: map_at_10
value: 8.245
- type: map_at_100
value: 13.763
- type: map_at_1000
value: 15.334
- type: map_at_3
value: 4.577
- type: map_at_5
value: 5.847
- type: mrr_at_1
value: 30.612000000000002
- type: mrr_at_10
value: 42.482
- type: mrr_at_100
value: 43.362
- type: mrr_at_1000
value: 43.364999999999995
- type: mrr_at_3
value: 37.755
- type: mrr_at_5
value: 40.102
- type: ndcg_at_1
value: 28.571
- type: ndcg_at_10
value: 21.613
- type: ndcg_at_100
value: 34.297
- type: ndcg_at_1000
value: 45.528
- type: ndcg_at_3
value: 24.886
- type: ndcg_at_5
value: 22.752
- type: precision_at_1
value: 30.612000000000002
- type: precision_at_10
value: 19.592000000000002
- type: precision_at_100
value: 7.754999999999999
- type: precision_at_1000
value: 1.494
- type: precision_at_3
value: 25.85
- type: precision_at_5
value: 22.448999999999998
- type: recall_at_1
value: 2.16
- type: recall_at_10
value: 13.361999999999998
- type: recall_at_100
value: 46.162
- type: recall_at_1000
value: 80.794
- type: recall_at_3
value: 5.418
- type: recall_at_5
value: 7.670000000000001
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 70.35860000000001
- type: ap
value: 13.90249255744945
- type: f1
value: 54.08442274867805
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 54.3010752688172
- type: f1
value: 54.493273092344666
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 35.712743713596815
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.88269654884664
- type: cos_sim_ap
value: 66.09276985843528
- type: cos_sim_f1
value: 63.225649744959924
- type: cos_sim_precision
value: 58.573357335733576
- type: cos_sim_recall
value: 68.68073878627968
- type: dot_accuracy
value: 83.88269654884664
- type: dot_ap
value: 66.09276747019544
- type: dot_f1
value: 63.225649744959924
- type: dot_precision
value: 58.573357335733576
- type: dot_recall
value: 68.68073878627968
- type: euclidean_accuracy
value: 83.88269654884664
- type: euclidean_ap
value: 66.09276985843528
- type: euclidean_f1
value: 63.225649744959924
- type: euclidean_precision
value: 58.573357335733576
- type: euclidean_recall
value: 68.68073878627968
- type: manhattan_accuracy
value: 82.69058830541813
- type: manhattan_ap
value: 62.74574997540533
- type: manhattan_f1
value: 59.96326905417815
- type: manhattan_precision
value: 53.06785859406745
- type: manhattan_recall
value: 68.91820580474935
- type: max_accuracy
value: 83.88269654884664
- type: max_ap
value: 66.09276985843528
- type: max_f1
value: 63.225649744959924
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.57519307641557
- type: cos_sim_ap
value: 83.25474211186804
- type: cos_sim_f1
value: 75.56529680365297
- type: cos_sim_precision
value: 71.89129074859248
- type: cos_sim_recall
value: 79.63504773637203
- type: dot_accuracy
value: 87.57519307641557
- type: dot_ap
value: 83.25474240805171
- type: dot_f1
value: 75.56529680365297
- type: dot_precision
value: 71.89129074859248
- type: dot_recall
value: 79.63504773637203
- type: euclidean_accuracy
value: 87.57519307641557
- type: euclidean_ap
value: 83.25474211186805
- type: euclidean_f1
value: 75.56529680365297
- type: euclidean_precision
value: 71.89129074859248
- type: euclidean_recall
value: 79.63504773637203
- type: manhattan_accuracy
value: 87.60041914076145
- type: manhattan_ap
value: 83.11911507311108
- type: manhattan_f1
value: 75.27478546649627
- type: manhattan_precision
value: 71.59130374383552
- type: manhattan_recall
value: 79.35786880197105
- type: max_accuracy
value: 87.60041914076145
- type: max_ap
value: 83.25474240805171
- type: max_f1
value: 75.56529680365297