metadata
tags:
- mteb
model-index:
- name: gte_WORDLLAMA_MODEL2VEC_result
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 73.13432835820896
- type: ap
value: 35.167459200441506
- type: f1
value: 66.74544259725131
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 71.5158
- type: ap
value: 65.87290139797425
- type: f1
value: 71.31117308043078
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 37.032
- type: f1
value: 36.34554421029957
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 23.541999999999998
- type: map_at_10
value: 38.172
- type: map_at_100
value: 39.339
- type: map_at_1000
value: 39.353
- type: map_at_3
value: 33.286
- type: map_at_5
value: 35.942
- type: mrr_at_1
value: 24.253
- type: mrr_at_10
value: 38.423
- type: mrr_at_100
value: 39.589
- type: mrr_at_1000
value: 39.604
- type: mrr_at_3
value: 33.559
- type: mrr_at_5
value: 36.169000000000004
- type: ndcg_at_1
value: 23.541999999999998
- type: ndcg_at_10
value: 46.660000000000004
- type: ndcg_at_100
value: 51.800999999999995
- type: ndcg_at_1000
value: 52.147
- type: ndcg_at_3
value: 36.498000000000005
- type: ndcg_at_5
value: 41.309000000000005
- type: precision_at_1
value: 23.541999999999998
- type: precision_at_10
value: 7.396999999999999
- type: precision_at_100
value: 0.9690000000000001
- type: precision_at_1000
value: 0.1
- type: precision_at_3
value: 15.268
- type: precision_at_5
value: 11.508000000000001
- type: recall_at_1
value: 23.541999999999998
- type: recall_at_10
value: 73.969
- type: recall_at_100
value: 96.871
- type: recall_at_1000
value: 99.502
- type: recall_at_3
value: 45.804
- type: recall_at_5
value: 57.538999999999994
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 39.8392617925804
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 29.39147233524174
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 55.43457632808065
- type: mrr
value: 69.7011168271556
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 79.40924171268267
- type: cos_sim_spearman
value: 76.48728498335026
- type: euclidean_pearson
value: 78.11322656013188
- type: euclidean_spearman
value: 76.48728498335026
- type: manhattan_pearson
value: 78.39882365124392
- type: manhattan_spearman
value: 76.55837094044142
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 75.63311688311688
- type: f1
value: 74.89031278068427
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 34.47759744268641
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 26.72176842867392
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 21.918000000000003
- type: map_at_10
value: 29.912
- type: map_at_100
value: 31.205
- type: map_at_1000
value: 31.357000000000003
- type: map_at_3
value: 27.206000000000003
- type: map_at_5
value: 28.613
- type: mrr_at_1
value: 27.897
- type: mrr_at_10
value: 35.921
- type: mrr_at_100
value: 36.825
- type: mrr_at_1000
value: 36.894
- type: mrr_at_3
value: 33.858
- type: mrr_at_5
value: 34.881
- type: ndcg_at_1
value: 27.897
- type: ndcg_at_10
value: 35.306
- type: ndcg_at_100
value: 40.955999999999996
- type: ndcg_at_1000
value: 43.909
- type: ndcg_at_3
value: 31.422
- type: ndcg_at_5
value: 32.89
- type: precision_at_1
value: 27.897
- type: precision_at_10
value: 6.9239999999999995
- type: precision_at_100
value: 1.233
- type: precision_at_1000
value: 0.18
- type: precision_at_3
value: 15.451
- type: precision_at_5
value: 11.044
- type: recall_at_1
value: 21.918000000000003
- type: recall_at_10
value: 45.171
- type: recall_at_100
value: 70.226
- type: recall_at_1000
value: 90.279
- type: recall_at_3
value: 32.657000000000004
- type: recall_at_5
value: 37.372
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 20.456
- type: map_at_10
value: 26.596999999999998
- type: map_at_100
value: 27.639999999999997
- type: map_at_1000
value: 27.766000000000002
- type: map_at_3
value: 24.487000000000002
- type: map_at_5
value: 25.683
- type: mrr_at_1
value: 25.605
- type: mrr_at_10
value: 31.326999999999998
- type: mrr_at_100
value: 32.133
- type: mrr_at_1000
value: 32.198
- type: mrr_at_3
value: 29.310000000000002
- type: mrr_at_5
value: 30.431
- type: ndcg_at_1
value: 25.605
- type: ndcg_at_10
value: 30.728
- type: ndcg_at_100
value: 35.318
- type: ndcg_at_1000
value: 38.082
- type: ndcg_at_3
value: 27.226
- type: ndcg_at_5
value: 28.828
- type: precision_at_1
value: 25.605
- type: precision_at_10
value: 5.561
- type: precision_at_100
value: 1.001
- type: precision_at_1000
value: 0.15
- type: precision_at_3
value: 12.717999999999998
- type: precision_at_5
value: 9.134
- type: recall_at_1
value: 20.456
- type: recall_at_10
value: 38.476
- type: recall_at_100
value: 58.120000000000005
- type: recall_at_1000
value: 76.793
- type: recall_at_3
value: 28.232000000000003
- type: recall_at_5
value: 32.53
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 28.088
- type: map_at_10
value: 37.584
- type: map_at_100
value: 38.75
- type: map_at_1000
value: 38.842999999999996
- type: map_at_3
value: 34.839999999999996
- type: map_at_5
value: 36.352000000000004
- type: mrr_at_1
value: 32.476
- type: mrr_at_10
value: 40.892
- type: mrr_at_100
value: 41.792
- type: mrr_at_1000
value: 41.845
- type: mrr_at_3
value: 38.474000000000004
- type: mrr_at_5
value: 39.818999999999996
- type: ndcg_at_1
value: 32.476
- type: ndcg_at_10
value: 42.811
- type: ndcg_at_100
value: 48.045
- type: ndcg_at_1000
value: 50.09400000000001
- type: ndcg_at_3
value: 37.830000000000005
- type: ndcg_at_5
value: 40.168
- type: precision_at_1
value: 32.476
- type: precision_at_10
value: 7.034
- type: precision_at_100
value: 1.061
- type: precision_at_1000
value: 0.131
- type: precision_at_3
value: 16.949
- type: precision_at_5
value: 11.799
- type: recall_at_1
value: 28.088
- type: recall_at_10
value: 55.318
- type: recall_at_100
value: 78.66499999999999
- type: recall_at_1000
value: 93.415
- type: recall_at_3
value: 41.865
- type: recall_at_5
value: 47.675
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 13.13
- type: map_at_10
value: 18.506
- type: map_at_100
value: 19.405
- type: map_at_1000
value: 19.516
- type: map_at_3
value: 16.821
- type: map_at_5
value: 17.782
- type: mrr_at_1
value: 14.124
- type: mrr_at_10
value: 19.767000000000003
- type: mrr_at_100
value: 20.66
- type: mrr_at_1000
value: 20.755000000000003
- type: mrr_at_3
value: 18.023
- type: mrr_at_5
value: 19
- type: ndcg_at_1
value: 14.124
- type: ndcg_at_10
value: 21.728
- type: ndcg_at_100
value: 26.422
- type: ndcg_at_1000
value: 29.73
- type: ndcg_at_3
value: 18.312
- type: ndcg_at_5
value: 19.993
- type: precision_at_1
value: 14.124
- type: precision_at_10
value: 3.4459999999999997
- type: precision_at_100
value: 0.617
- type: precision_at_1000
value: 0.095
- type: precision_at_3
value: 7.91
- type: precision_at_5
value: 5.695
- type: recall_at_1
value: 13.13
- type: recall_at_10
value: 30.470000000000002
- type: recall_at_100
value: 52.449
- type: recall_at_1000
value: 78.25
- type: recall_at_3
value: 21.209
- type: recall_at_5
value: 25.281
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 7.7
- type: map_at_10
value: 12.333
- type: map_at_100
value: 13.367999999999999
- type: map_at_1000
value: 13.492
- type: map_at_3
value: 10.747
- type: map_at_5
value: 11.645999999999999
- type: mrr_at_1
value: 9.826
- type: mrr_at_10
value: 14.81
- type: mrr_at_100
value: 15.854
- type: mrr_at_1000
value: 15.953000000000001
- type: mrr_at_3
value: 13.039000000000001
- type: mrr_at_5
value: 14.046
- type: ndcg_at_1
value: 9.826
- type: ndcg_at_10
value: 15.437000000000001
- type: ndcg_at_100
value: 21.009
- type: ndcg_at_1000
value: 24.515
- type: ndcg_at_3
value: 12.349
- type: ndcg_at_5
value: 13.850000000000001
- type: precision_at_1
value: 9.826
- type: precision_at_10
value: 3.01
- type: precision_at_100
value: 0.692
- type: precision_at_1000
value: 0.11199999999999999
- type: precision_at_3
value: 6.053
- type: precision_at_5
value: 4.577
- type: recall_at_1
value: 7.7
- type: recall_at_10
value: 22.546
- type: recall_at_100
value: 47.648
- type: recall_at_1000
value: 73.655
- type: recall_at_3
value: 14.289
- type: recall_at_5
value: 17.994
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 19.886
- type: map_at_10
value: 26.63
- type: map_at_100
value: 27.944999999999997
- type: map_at_1000
value: 28.097
- type: map_at_3
value: 24.077
- type: map_at_5
value: 25.378
- type: mrr_at_1
value: 24.254
- type: mrr_at_10
value: 31.416
- type: mrr_at_100
value: 32.425
- type: mrr_at_1000
value: 32.501999999999995
- type: mrr_at_3
value: 28.793999999999997
- type: mrr_at_5
value: 30.237000000000002
- type: ndcg_at_1
value: 24.254
- type: ndcg_at_10
value: 31.524
- type: ndcg_at_100
value: 37.658
- type: ndcg_at_1000
value: 40.722
- type: ndcg_at_3
value: 26.953
- type: ndcg_at_5
value: 28.919
- type: precision_at_1
value: 24.254
- type: precision_at_10
value: 5.881
- type: precision_at_100
value: 1.072
- type: precision_at_1000
value: 0.155
- type: precision_at_3
value: 12.479999999999999
- type: precision_at_5
value: 9.105
- type: recall_at_1
value: 19.886
- type: recall_at_10
value: 41.593
- type: recall_at_100
value: 68.43599999999999
- type: recall_at_1000
value: 89.041
- type: recall_at_3
value: 28.723
- type: recall_at_5
value: 33.804
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 15.821
- type: map_at_10
value: 21.898999999999997
- type: map_at_100
value: 23.189
- type: map_at_1000
value: 23.323
- type: map_at_3
value: 19.634999999999998
- type: map_at_5
value: 20.848
- type: mrr_at_1
value: 19.064
- type: mrr_at_10
value: 25.784000000000002
- type: mrr_at_100
value: 26.828999999999997
- type: mrr_at_1000
value: 26.904
- type: mrr_at_3
value: 23.573
- type: mrr_at_5
value: 24.812
- type: ndcg_at_1
value: 19.064
- type: ndcg_at_10
value: 26.229999999999997
- type: ndcg_at_100
value: 32.326
- type: ndcg_at_1000
value: 35.435
- type: ndcg_at_3
value: 22.070999999999998
- type: ndcg_at_5
value: 23.93
- type: precision_at_1
value: 19.064
- type: precision_at_10
value: 4.966
- type: precision_at_100
value: 0.967
- type: precision_at_1000
value: 0.14100000000000001
- type: precision_at_3
value: 10.54
- type: precision_at_5
value: 7.785
- type: recall_at_1
value: 15.821
- type: recall_at_10
value: 35.516
- type: recall_at_100
value: 61.971
- type: recall_at_1000
value: 83.848
- type: recall_at_3
value: 23.97
- type: recall_at_5
value: 28.662
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 15.921916666666666
- type: map_at_10
value: 21.780166666666666
- type: map_at_100
value: 22.84433333333333
- type: map_at_1000
value: 22.975916666666667
- type: map_at_3
value: 19.735916666666665
- type: map_at_5
value: 20.860416666666666
- type: mrr_at_1
value: 19.054249999999996
- type: mrr_at_10
value: 25.021333333333335
- type: mrr_at_100
value: 25.93491666666667
- type: mrr_at_1000
value: 26.019166666666667
- type: mrr_at_3
value: 23.03583333333333
- type: mrr_at_5
value: 24.140000000000004
- type: ndcg_at_1
value: 19.054249999999996
- type: ndcg_at_10
value: 25.70233333333334
- type: ndcg_at_100
value: 30.890500000000003
- type: ndcg_at_1000
value: 34.02575
- type: ndcg_at_3
value: 22.017666666666663
- type: ndcg_at_5
value: 23.718666666666664
- type: precision_at_1
value: 19.054249999999996
- type: precision_at_10
value: 4.622083333333333
- type: precision_at_100
value: 0.86825
- type: precision_at_1000
value: 0.13258333333333333
- type: precision_at_3
value: 10.176166666666669
- type: precision_at_5
value: 7.382749999999999
- type: recall_at_1
value: 15.921916666666666
- type: recall_at_10
value: 34.314833333333326
- type: recall_at_100
value: 57.83341666666667
- type: recall_at_1000
value: 80.45625000000001
- type: recall_at_3
value: 23.967166666666667
- type: recall_at_5
value: 28.36841666666666
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 12.857
- type: map_at_10
value: 17.826
- type: map_at_100
value: 18.677
- type: map_at_1000
value: 18.775
- type: map_at_3
value: 16.227
- type: map_at_5
value: 17.168
- type: mrr_at_1
value: 14.877
- type: mrr_at_10
value: 19.784
- type: mrr_at_100
value: 20.662
- type: mrr_at_1000
value: 20.746000000000002
- type: mrr_at_3
value: 18.175
- type: mrr_at_5
value: 19.08
- type: ndcg_at_1
value: 14.877
- type: ndcg_at_10
value: 20.987000000000002
- type: ndcg_at_100
value: 25.654
- type: ndcg_at_1000
value: 28.360000000000003
- type: ndcg_at_3
value: 17.919
- type: ndcg_at_5
value: 19.404
- type: precision_at_1
value: 14.877
- type: precision_at_10
value: 3.528
- type: precision_at_100
value: 0.641
- type: precision_at_1000
value: 0.095
- type: precision_at_3
value: 8.129
- type: precision_at_5
value: 5.798
- type: recall_at_1
value: 12.857
- type: recall_at_10
value: 28.864
- type: recall_at_100
value: 50.943000000000005
- type: recall_at_1000
value: 71.158
- type: recall_at_3
value: 20.330000000000002
- type: recall_at_5
value: 24.03
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 8.823
- type: map_at_10
value: 12.664
- type: map_at_100
value: 13.447000000000001
- type: map_at_1000
value: 13.58
- type: map_at_3
value: 11.372
- type: map_at_5
value: 12.052
- type: mrr_at_1
value: 10.84
- type: mrr_at_10
value: 15.135000000000002
- type: mrr_at_100
value: 15.919
- type: mrr_at_1000
value: 16.026
- type: mrr_at_3
value: 13.702
- type: mrr_at_5
value: 14.496
- type: ndcg_at_1
value: 10.84
- type: ndcg_at_10
value: 15.375
- type: ndcg_at_100
value: 19.612
- type: ndcg_at_1000
value: 23.305
- type: ndcg_at_3
value: 12.879999999999999
- type: ndcg_at_5
value: 13.980999999999998
- type: precision_at_1
value: 10.84
- type: precision_at_10
value: 2.887
- type: precision_at_100
value: 0.599
- type: precision_at_1000
value: 0.109
- type: precision_at_3
value: 6.171
- type: precision_at_5
value: 4.522
- type: recall_at_1
value: 8.823
- type: recall_at_10
value: 21.19
- type: recall_at_100
value: 40.843
- type: recall_at_1000
value: 68.118
- type: recall_at_3
value: 14.219000000000001
- type: recall_at_5
value: 17.061
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 14.841999999999999
- type: map_at_10
value: 19.807
- type: map_at_100
value: 20.646
- type: map_at_1000
value: 20.782
- type: map_at_3
value: 17.881
- type: map_at_5
value: 18.94
- type: mrr_at_1
value: 17.631
- type: mrr_at_10
value: 22.949
- type: mrr_at_100
value: 23.727
- type: mrr_at_1000
value: 23.829
- type: mrr_at_3
value: 20.896
- type: mrr_at_5
value: 21.964
- type: ndcg_at_1
value: 17.631
- type: ndcg_at_10
value: 23.544999999999998
- type: ndcg_at_100
value: 28.042
- type: ndcg_at_1000
value: 31.66
- type: ndcg_at_3
value: 19.697
- type: ndcg_at_5
value: 21.467
- type: precision_at_1
value: 17.631
- type: precision_at_10
value: 4.039000000000001
- type: precision_at_100
value: 0.7080000000000001
- type: precision_at_1000
value: 0.11399999999999999
- type: precision_at_3
value: 8.831
- type: precision_at_5
value: 6.381
- type: recall_at_1
value: 14.841999999999999
- type: recall_at_10
value: 32.144
- type: recall_at_100
value: 52.896
- type: recall_at_1000
value: 79.3
- type: recall_at_3
value: 21.64
- type: recall_at_5
value: 26.127
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 15.182
- type: map_at_10
value: 21.423000000000002
- type: map_at_100
value: 22.766000000000002
- type: map_at_1000
value: 22.966
- type: map_at_3
value: 19.096
- type: map_at_5
value: 20.514
- type: mrr_at_1
value: 18.379
- type: mrr_at_10
value: 24.834999999999997
- type: mrr_at_100
value: 25.818
- type: mrr_at_1000
value: 25.893
- type: mrr_at_3
value: 22.628
- type: mrr_at_5
value: 24.032
- type: ndcg_at_1
value: 18.379
- type: ndcg_at_10
value: 25.766
- type: ndcg_at_100
value: 31.677
- type: ndcg_at_1000
value: 35.024
- type: ndcg_at_3
value: 22.027
- type: ndcg_at_5
value: 24.046
- type: precision_at_1
value: 18.379
- type: precision_at_10
value: 5.158
- type: precision_at_100
value: 1.2309999999999999
- type: precision_at_1000
value: 0.211
- type: precision_at_3
value: 10.474
- type: precision_at_5
value: 7.983999999999999
- type: recall_at_1
value: 15.182
- type: recall_at_10
value: 34.008
- type: recall_at_100
value: 61.882000000000005
- type: recall_at_1000
value: 84.635
- type: recall_at_3
value: 23.3
- type: recall_at_5
value: 28.732999999999997
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 12.36
- type: map_at_10
value: 16.181
- type: map_at_100
value: 17.094
- type: map_at_1000
value: 17.214
- type: map_at_3
value: 14.442
- type: map_at_5
value: 15.348999999999998
- type: mrr_at_1
value: 13.678
- type: mrr_at_10
value: 17.636
- type: mrr_at_100
value: 18.575
- type: mrr_at_1000
value: 18.685
- type: mrr_at_3
value: 15.958
- type: mrr_at_5
value: 16.882
- type: ndcg_at_1
value: 13.678
- type: ndcg_at_10
value: 18.991
- type: ndcg_at_100
value: 23.967
- type: ndcg_at_1000
value: 27.473
- type: ndcg_at_3
value: 15.526000000000002
- type: ndcg_at_5
value: 17.148
- type: precision_at_1
value: 13.678
- type: precision_at_10
value: 3.031
- type: precision_at_100
value: 0.597
- type: precision_at_1000
value: 0.098
- type: precision_at_3
value: 6.4079999999999995
- type: precision_at_5
value: 4.769
- type: recall_at_1
value: 12.36
- type: recall_at_10
value: 26.482
- type: recall_at_100
value: 49.922
- type: recall_at_1000
value: 76.983
- type: recall_at_3
value: 17.172
- type: recall_at_5
value: 21.152
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 8.464
- type: map_at_10
value: 14.78
- type: map_at_100
value: 16.436999999999998
- type: map_at_1000
value: 16.650000000000002
- type: map_at_3
value: 12.027000000000001
- type: map_at_5
value: 13.428999999999998
- type: mrr_at_1
value: 19.544
- type: mrr_at_10
value: 29.537999999999997
- type: mrr_at_100
value: 30.653000000000002
- type: mrr_at_1000
value: 30.708000000000002
- type: mrr_at_3
value: 25.798
- type: mrr_at_5
value: 28.072000000000003
- type: ndcg_at_1
value: 19.544
- type: ndcg_at_10
value: 21.953
- type: ndcg_at_100
value: 29.188
- type: ndcg_at_1000
value: 33.222
- type: ndcg_at_3
value: 16.89
- type: ndcg_at_5
value: 18.825
- type: precision_at_1
value: 19.544
- type: precision_at_10
value: 7.277
- type: precision_at_100
value: 1.506
- type: precision_at_1000
value: 0.22399999999999998
- type: precision_at_3
value: 12.834000000000001
- type: precision_at_5
value: 10.488999999999999
- type: recall_at_1
value: 8.464
- type: recall_at_10
value: 27.762999999999998
- type: recall_at_100
value: 53.147999999999996
- type: recall_at_1000
value: 76.183
- type: recall_at_3
value: 15.642
- type: recall_at_5
value: 20.593
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 5.676
- type: map_at_10
value: 11.847000000000001
- type: map_at_100
value: 16.875999999999998
- type: map_at_1000
value: 18.081
- type: map_at_3
value: 8.512
- type: map_at_5
value: 9.956
- type: mrr_at_1
value: 48
- type: mrr_at_10
value: 57.928000000000004
- type: mrr_at_100
value: 58.52
- type: mrr_at_1000
value: 58.544
- type: mrr_at_3
value: 55.333
- type: mrr_at_5
value: 56.958
- type: ndcg_at_1
value: 35.875
- type: ndcg_at_10
value: 27.221
- type: ndcg_at_100
value: 31.808999999999997
- type: ndcg_at_1000
value: 39.199
- type: ndcg_at_3
value: 30.274
- type: ndcg_at_5
value: 28.785
- type: precision_at_1
value: 48
- type: precision_at_10
value: 23.65
- type: precision_at_100
value: 7.818
- type: precision_at_1000
value: 1.651
- type: precision_at_3
value: 35.833
- type: precision_at_5
value: 31
- type: recall_at_1
value: 5.676
- type: recall_at_10
value: 16.619
- type: recall_at_100
value: 39.422000000000004
- type: recall_at_1000
value: 64.095
- type: recall_at_3
value: 9.608
- type: recall_at_5
value: 12.277000000000001
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 49.185
- type: f1
value: 44.87033813298503
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 18.904
- type: map_at_10
value: 28.435
- type: map_at_100
value: 29.498
- type: map_at_1000
value: 29.567
- type: map_at_3
value: 25.319000000000003
- type: map_at_5
value: 27.13
- type: mrr_at_1
value: 20.116999999999997
- type: mrr_at_10
value: 30.112
- type: mrr_at_100
value: 31.155
- type: mrr_at_1000
value: 31.213
- type: mrr_at_3
value: 26.895000000000003
- type: mrr_at_5
value: 28.793000000000003
- type: ndcg_at_1
value: 20.116999999999997
- type: ndcg_at_10
value: 34.244
- type: ndcg_at_100
value: 39.409
- type: ndcg_at_1000
value: 41.195
- type: ndcg_at_3
value: 27.872000000000003
- type: ndcg_at_5
value: 31.128
- type: precision_at_1
value: 20.116999999999997
- type: precision_at_10
value: 5.534
- type: precision_at_100
value: 0.828
- type: precision_at_1000
value: 0.1
- type: precision_at_3
value: 12.076
- type: precision_at_5
value: 8.965
- type: recall_at_1
value: 18.904
- type: recall_at_10
value: 50.858000000000004
- type: recall_at_100
value: 74.42
- type: recall_at_1000
value: 88.023
- type: recall_at_3
value: 33.675
- type: recall_at_5
value: 41.449999999999996
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 8.892
- type: map_at_10
value: 14.363000000000001
- type: map_at_100
value: 15.75
- type: map_at_1000
value: 15.959000000000001
- type: map_at_3
value: 12.25
- type: map_at_5
value: 13.286999999999999
- type: mrr_at_1
value: 16.821
- type: mrr_at_10
value: 23.425
- type: mrr_at_100
value: 24.556
- type: mrr_at_1000
value: 24.637
- type: mrr_at_3
value: 20.885
- type: mrr_at_5
value: 22.127
- type: ndcg_at_1
value: 16.821
- type: ndcg_at_10
value: 19.412
- type: ndcg_at_100
value: 25.836
- type: ndcg_at_1000
value: 30.131000000000004
- type: ndcg_at_3
value: 16.198
- type: ndcg_at_5
value: 17.185
- type: precision_at_1
value: 16.821
- type: precision_at_10
value: 5.556
- type: precision_at_100
value: 1.1820000000000002
- type: precision_at_1000
value: 0.194
- type: precision_at_3
value: 10.545
- type: precision_at_5
value: 8.056000000000001
- type: recall_at_1
value: 8.892
- type: recall_at_10
value: 25.249
- type: recall_at_100
value: 50.263000000000005
- type: recall_at_1000
value: 76.43299999999999
- type: recall_at_3
value: 15.094
- type: recall_at_5
value: 18.673000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 20.831
- type: map_at_10
value: 29.959999999999997
- type: map_at_100
value: 30.959999999999997
- type: map_at_1000
value: 31.069000000000003
- type: map_at_3
value: 27.453
- type: map_at_5
value: 28.838
- type: mrr_at_1
value: 41.661
- type: mrr_at_10
value: 49.647999999999996
- type: mrr_at_100
value: 50.304
- type: mrr_at_1000
value: 50.352
- type: mrr_at_3
value: 47.403
- type: mrr_at_5
value: 48.657000000000004
- type: ndcg_at_1
value: 41.661
- type: ndcg_at_10
value: 37.854
- type: ndcg_at_100
value: 42.248999999999995
- type: ndcg_at_1000
value: 44.756
- type: ndcg_at_3
value: 33.243
- type: ndcg_at_5
value: 35.467
- type: precision_at_1
value: 41.661
- type: precision_at_10
value: 8.386000000000001
- type: precision_at_100
value: 1.1900000000000002
- type: precision_at_1000
value: 0.152
- type: precision_at_3
value: 21.022
- type: precision_at_5
value: 14.377
- type: recall_at_1
value: 20.831
- type: recall_at_10
value: 41.931000000000004
- type: recall_at_100
value: 59.507
- type: recall_at_1000
value: 76.232
- type: recall_at_3
value: 31.533
- type: recall_at_5
value: 35.942
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 70.2136
- type: ap
value: 64.38274263735502
- type: f1
value: 70.02577813394484
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 7.542999999999999
- type: map_at_10
value: 13.229
- type: map_at_100
value: 14.283999999999999
- type: map_at_1000
value: 14.396
- type: map_at_3
value: 11.139000000000001
- type: map_at_5
value: 12.259
- type: mrr_at_1
value: 7.808
- type: mrr_at_10
value: 13.577
- type: mrr_at_100
value: 14.625
- type: mrr_at_1000
value: 14.732000000000001
- type: mrr_at_3
value: 11.464
- type: mrr_at_5
value: 12.584999999999999
- type: ndcg_at_1
value: 7.779
- type: ndcg_at_10
value: 16.793
- type: ndcg_at_100
value: 22.564
- type: ndcg_at_1000
value: 25.799
- type: ndcg_at_3
value: 12.431000000000001
- type: ndcg_at_5
value: 14.442
- type: precision_at_1
value: 7.779
- type: precision_at_10
value: 2.894
- type: precision_at_100
value: 0.59
- type: precision_at_1000
value: 0.087
- type: precision_at_3
value: 5.454
- type: precision_at_5
value: 4.278
- type: recall_at_1
value: 7.542999999999999
- type: recall_at_10
value: 27.907
- type: recall_at_100
value: 56.13399999999999
- type: recall_at_1000
value: 81.877
- type: recall_at_3
value: 15.878999999999998
- type: recall_at_5
value: 20.726
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 91.68490652074783
- type: f1
value: 90.90009716586837
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 61.33150934792522
- type: f1
value: 42.414995407585955
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 66.29455279085406
- type: f1
value: 64.0154454215856
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 73.91055817081372
- type: f1
value: 72.79505573377739
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 30.478611587568
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 27.395691978780366
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 30.75504868917307
- type: mrr
value: 31.723412508217553
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 4.739
- type: map_at_10
value: 9.419
- type: map_at_100
value: 12.209
- type: map_at_1000
value: 13.653
- type: map_at_3
value: 7.292999999999999
- type: map_at_5
value: 8.291
- type: mrr_at_1
value: 38.7
- type: mrr_at_10
value: 47.934
- type: mrr_at_100
value: 48.605
- type: mrr_at_1000
value: 48.646
- type: mrr_at_3
value: 45.717
- type: mrr_at_5
value: 47.157
- type: ndcg_at_1
value: 36.842000000000006
- type: ndcg_at_10
value: 28.077
- type: ndcg_at_100
value: 26.83
- type: ndcg_at_1000
value: 36.272
- type: ndcg_at_3
value: 32.429
- type: ndcg_at_5
value: 30.823
- type: precision_at_1
value: 38.7
- type: precision_at_10
value: 20.774
- type: precision_at_100
value: 7.331
- type: precision_at_1000
value: 2.085
- type: precision_at_3
value: 30.341
- type: precision_at_5
value: 26.502
- type: recall_at_1
value: 4.739
- type: recall_at_10
value: 13.065999999999999
- type: recall_at_100
value: 28.875
- type: recall_at_1000
value: 62.751000000000005
- type: recall_at_3
value: 8.338
- type: recall_at_5
value: 10.211
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 10.764
- type: map_at_10
value: 18.582
- type: map_at_100
value: 19.953000000000003
- type: map_at_1000
value: 20.049
- type: map_at_3
value: 15.551
- type: map_at_5
value: 17.143
- type: mrr_at_1
value: 12.283
- type: mrr_at_10
value: 20.507
- type: mrr_at_100
value: 21.724
- type: mrr_at_1000
value: 21.801000000000002
- type: mrr_at_3
value: 17.434
- type: mrr_at_5
value: 19.097
- type: ndcg_at_1
value: 12.254
- type: ndcg_at_10
value: 23.818
- type: ndcg_at_100
value: 30.652
- type: ndcg_at_1000
value: 33.25
- type: ndcg_at_3
value: 17.577
- type: ndcg_at_5
value: 20.43
- type: precision_at_1
value: 12.254
- type: precision_at_10
value: 4.492999999999999
- type: precision_at_100
value: 0.8370000000000001
- type: precision_at_1000
value: 0.109
- type: precision_at_3
value: 8.333
- type: precision_at_5
value: 6.593
- type: recall_at_1
value: 10.764
- type: recall_at_10
value: 38.279999999999994
- type: recall_at_100
value: 69.77600000000001
- type: recall_at_1000
value: 89.75
- type: recall_at_3
value: 21.608
- type: recall_at_5
value: 28.247
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 66.238
- type: map_at_10
value: 79.61
- type: map_at_100
value: 80.339
- type: map_at_1000
value: 80.366
- type: map_at_3
value: 76.572
- type: map_at_5
value: 78.45100000000001
- type: mrr_at_1
value: 76.18
- type: mrr_at_10
value: 83.319
- type: mrr_at_100
value: 83.492
- type: mrr_at_1000
value: 83.49499999999999
- type: mrr_at_3
value: 82.002
- type: mrr_at_5
value: 82.88
- type: ndcg_at_1
value: 76.24
- type: ndcg_at_10
value: 84.048
- type: ndcg_at_100
value: 85.76700000000001
- type: ndcg_at_1000
value: 85.989
- type: ndcg_at_3
value: 80.608
- type: ndcg_at_5
value: 82.45
- type: precision_at_1
value: 76.24
- type: precision_at_10
value: 12.775
- type: precision_at_100
value: 1.498
- type: precision_at_1000
value: 0.156
- type: precision_at_3
value: 35.107
- type: precision_at_5
value: 23.198
- type: recall_at_1
value: 66.238
- type: recall_at_10
value: 92.655
- type: recall_at_100
value: 98.79599999999999
- type: recall_at_1000
value: 99.914
- type: recall_at_3
value: 82.818
- type: recall_at_5
value: 87.985
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 45.96790773164943
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 51.114201492992976
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.3029999999999995
- type: map_at_10
value: 8.534
- type: map_at_100
value: 10.269
- type: map_at_1000
value: 10.569
- type: map_at_3
value: 6.02
- type: map_at_5
value: 7.3
- type: mrr_at_1
value: 16.2
- type: mrr_at_10
value: 26.048
- type: mrr_at_100
value: 27.229
- type: mrr_at_1000
value: 27.307
- type: mrr_at_3
value: 22.8
- type: mrr_at_5
value: 24.555
- type: ndcg_at_1
value: 16.2
- type: ndcg_at_10
value: 15.152
- type: ndcg_at_100
value: 22.692999999999998
- type: ndcg_at_1000
value: 28.283
- type: ndcg_at_3
value: 13.831
- type: ndcg_at_5
value: 12.383
- type: precision_at_1
value: 16.2
- type: precision_at_10
value: 8.15
- type: precision_at_100
value: 1.921
- type: precision_at_1000
value: 0.326
- type: precision_at_3
value: 13.167000000000002
- type: precision_at_5
value: 11.200000000000001
- type: recall_at_1
value: 3.3029999999999995
- type: recall_at_10
value: 16.463
- type: recall_at_100
value: 38.968
- type: recall_at_1000
value: 66.208
- type: recall_at_3
value: 8.023
- type: recall_at_5
value: 11.338
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 78.21858054391086
- type: cos_sim_spearman
value: 67.3365618536054
- type: euclidean_pearson
value: 72.40963340986721
- type: euclidean_spearman
value: 67.336666949735
- type: manhattan_pearson
value: 72.14690674984998
- type: manhattan_spearman
value: 67.32922820760339
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 76.49003508454533
- type: cos_sim_spearman
value: 66.84152843358724
- type: euclidean_pearson
value: 72.00905568823764
- type: euclidean_spearman
value: 66.8427445518875
- type: manhattan_pearson
value: 71.33279968302561
- type: manhattan_spearman
value: 66.63248621937453
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 78.26330596241046
- type: cos_sim_spearman
value: 78.99008985666835
- type: euclidean_pearson
value: 78.51141445278363
- type: euclidean_spearman
value: 78.99010203692151
- type: manhattan_pearson
value: 78.06877144241578
- type: manhattan_spearman
value: 78.49232451344044
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 79.14106714330973
- type: cos_sim_spearman
value: 74.82820560037015
- type: euclidean_pearson
value: 77.62758758774916
- type: euclidean_spearman
value: 74.82819590900333
- type: manhattan_pearson
value: 77.48877257108047
- type: manhattan_spearman
value: 74.74789870583966
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 82.48914773660643
- type: cos_sim_spearman
value: 83.00065347429336
- type: euclidean_pearson
value: 82.64658342996727
- type: euclidean_spearman
value: 83.00065194339217
- type: manhattan_pearson
value: 82.55463149184536
- type: manhattan_spearman
value: 82.8911825343332
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 77.784876359328
- type: cos_sim_spearman
value: 78.360543979936
- type: euclidean_pearson
value: 77.73937696752135
- type: euclidean_spearman
value: 78.36053665222538
- type: manhattan_pearson
value: 77.56126269274264
- type: manhattan_spearman
value: 78.18717393504727
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 86.63171981287952
- type: cos_sim_spearman
value: 87.49687143000429
- type: euclidean_pearson
value: 86.37853734517222
- type: euclidean_spearman
value: 87.4977435828658
- type: manhattan_pearson
value: 86.40342805532555
- type: manhattan_spearman
value: 87.57812091712806
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 60.00736823914696
- type: cos_sim_spearman
value: 60.59580774316736
- type: euclidean_pearson
value: 61.893600849213094
- type: euclidean_spearman
value: 60.59580774316736
- type: manhattan_pearson
value: 61.43013801720455
- type: manhattan_spearman
value: 59.92526461879062
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 80.58292387813594
- type: cos_sim_spearman
value: 78.85975762418589
- type: euclidean_pearson
value: 80.28122335716425
- type: euclidean_spearman
value: 78.85977608876506
- type: manhattan_pearson
value: 80.20419882971093
- type: manhattan_spearman
value: 78.79811621332709
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 78.54383068715617
- type: mrr
value: 93.62365031482678
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 39.111000000000004
- type: map_at_10
value: 47.686
- type: map_at_100
value: 48.722
- type: map_at_1000
value: 48.776
- type: map_at_3
value: 44.625
- type: map_at_5
value: 46.289
- type: mrr_at_1
value: 41.667
- type: mrr_at_10
value: 49.619
- type: mrr_at_100
value: 50.434
- type: mrr_at_1000
value: 50.482000000000006
- type: mrr_at_3
value: 46.833000000000006
- type: mrr_at_5
value: 48.317
- type: ndcg_at_1
value: 41.667
- type: ndcg_at_10
value: 52.819
- type: ndcg_at_100
value: 57.69
- type: ndcg_at_1000
value: 58.965
- type: ndcg_at_3
value: 46.857
- type: ndcg_at_5
value: 49.697
- type: precision_at_1
value: 41.667
- type: precision_at_10
value: 7.367
- type: precision_at_100
value: 1.0070000000000001
- type: precision_at_1000
value: 0.11199999999999999
- type: precision_at_3
value: 18.333
- type: precision_at_5
value: 12.6
- type: recall_at_1
value: 39.111000000000004
- type: recall_at_10
value: 67.039
- type: recall_at_100
value: 89.767
- type: recall_at_1000
value: 99.467
- type: recall_at_3
value: 51.056000000000004
- type: recall_at_5
value: 57.99999999999999
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.72772277227723
- type: cos_sim_ap
value: 91.98542118937158
- type: cos_sim_f1
value: 85.91691995947316
- type: cos_sim_precision
value: 87.06365503080082
- type: cos_sim_recall
value: 84.8
- type: dot_accuracy
value: 99.72772277227723
- type: dot_ap
value: 91.98542118937158
- type: dot_f1
value: 85.91691995947316
- type: dot_precision
value: 87.06365503080082
- type: dot_recall
value: 84.8
- type: euclidean_accuracy
value: 99.72772277227723
- type: euclidean_ap
value: 91.98542118937158
- type: euclidean_f1
value: 85.91691995947316
- type: euclidean_precision
value: 87.06365503080082
- type: euclidean_recall
value: 84.8
- type: manhattan_accuracy
value: 99.72574257425742
- type: manhattan_ap
value: 91.96773898408213
- type: manhattan_f1
value: 85.8601327207759
- type: manhattan_precision
value: 87.69551616266945
- type: manhattan_recall
value: 84.1
- type: max_accuracy
value: 99.72772277227723
- type: max_ap
value: 91.98542118937158
- type: max_f1
value: 85.91691995947316
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 50.974351388709024
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 30.94724711190474
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 43.618618519378074
- type: mrr
value: 44.19061942959002
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 29.75942900919329
- type: cos_sim_spearman
value: 30.265779375382486
- type: dot_pearson
value: 29.759429009193283
- type: dot_spearman
value: 30.216316271647514
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.154
- type: map_at_10
value: 1.216
- type: map_at_100
value: 6.401
- type: map_at_1000
value: 16.882
- type: map_at_3
value: 0.418
- type: map_at_5
value: 0.7040000000000001
- type: mrr_at_1
value: 62
- type: mrr_at_10
value: 75.319
- type: mrr_at_100
value: 75.435
- type: mrr_at_1000
value: 75.435
- type: mrr_at_3
value: 73.333
- type: mrr_at_5
value: 75.033
- type: ndcg_at_1
value: 56.00000000000001
- type: ndcg_at_10
value: 54.176
- type: ndcg_at_100
value: 40.741
- type: ndcg_at_1000
value: 38.385000000000005
- type: ndcg_at_3
value: 57.676
- type: ndcg_at_5
value: 57.867000000000004
- type: precision_at_1
value: 62
- type: precision_at_10
value: 57.8
- type: precision_at_100
value: 42.68
- type: precision_at_1000
value: 18.478
- type: precision_at_3
value: 61.333000000000006
- type: precision_at_5
value: 63.6
- type: recall_at_1
value: 0.154
- type: recall_at_10
value: 1.468
- type: recall_at_100
value: 9.541
- type: recall_at_1000
value: 37.218
- type: recall_at_3
value: 0.46299999999999997
- type: recall_at_5
value: 0.8340000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.144
- type: map_at_10
value: 8.38
- type: map_at_100
value: 14.482000000000001
- type: map_at_1000
value: 16.179
- type: map_at_3
value: 3.821
- type: map_at_5
value: 5.96
- type: mrr_at_1
value: 26.531
- type: mrr_at_10
value: 41.501
- type: mrr_at_100
value: 42.575
- type: mrr_at_1000
value: 42.575
- type: mrr_at_3
value: 36.054
- type: mrr_at_5
value: 40.238
- type: ndcg_at_1
value: 21.429000000000002
- type: ndcg_at_10
value: 21.644
- type: ndcg_at_100
value: 35.427
- type: ndcg_at_1000
value: 47.116
- type: ndcg_at_3
value: 20.814
- type: ndcg_at_5
value: 22.783
- type: precision_at_1
value: 26.531
- type: precision_at_10
value: 21.224
- type: precision_at_100
value: 8.265
- type: precision_at_1000
value: 1.5959999999999999
- type: precision_at_3
value: 23.810000000000002
- type: precision_at_5
value: 26.122
- type: recall_at_1
value: 2.144
- type: recall_at_10
value: 15.278
- type: recall_at_100
value: 50.541000000000004
- type: recall_at_1000
value: 86.144
- type: recall_at_3
value: 5.056
- type: recall_at_5
value: 9.203
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 75.88100000000001
- type: ap
value: 17.210410808772743
- type: f1
value: 58.7851360197636
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 59.68024900962084
- type: f1
value: 59.95386992880734
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 41.55446050017461
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 82.32699529117244
- type: cos_sim_ap
value: 61.49148139881723
- type: cos_sim_f1
value: 59.31940298507462
- type: cos_sim_precision
value: 54.17666303162486
- type: cos_sim_recall
value: 65.54089709762533
- type: dot_accuracy
value: 82.32699529117244
- type: dot_ap
value: 61.49148139881723
- type: dot_f1
value: 59.31940298507462
- type: dot_precision
value: 54.17666303162486
- type: dot_recall
value: 65.54089709762533
- type: euclidean_accuracy
value: 82.32699529117244
- type: euclidean_ap
value: 61.49148139881723
- type: euclidean_f1
value: 59.31940298507462
- type: euclidean_precision
value: 54.17666303162486
- type: euclidean_recall
value: 65.54089709762533
- type: manhattan_accuracy
value: 82.44024557429815
- type: manhattan_ap
value: 61.57050440663527
- type: manhattan_f1
value: 59.36456916800594
- type: manhattan_precision
value: 55.8501977204001
- type: manhattan_recall
value: 63.35092348284961
- type: max_accuracy
value: 82.44024557429815
- type: max_ap
value: 61.57050440663527
- type: max_f1
value: 59.36456916800594
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.70714479760935
- type: cos_sim_ap
value: 83.52059059692118
- type: cos_sim_f1
value: 75.8043805261034
- type: cos_sim_precision
value: 72.40171000070083
- type: cos_sim_recall
value: 79.54265475823837
- type: dot_accuracy
value: 87.70714479760935
- type: dot_ap
value: 83.52059016767844
- type: dot_f1
value: 75.8043805261034
- type: dot_precision
value: 72.40171000070083
- type: dot_recall
value: 79.54265475823837
- type: euclidean_accuracy
value: 87.70714479760935
- type: euclidean_ap
value: 83.52059046795347
- type: euclidean_f1
value: 75.8043805261034
- type: euclidean_precision
value: 72.40171000070083
- type: euclidean_recall
value: 79.54265475823837
- type: manhattan_accuracy
value: 87.7187875965382
- type: manhattan_ap
value: 83.5377383098018
- type: manhattan_f1
value: 75.87021520062012
- type: manhattan_precision
value: 72.87102035028008
- type: manhattan_recall
value: 79.12688635663689
- type: max_accuracy
value: 87.7187875965382
- type: max_ap
value: 83.5377383098018
- type: max_f1
value: 75.87021520062012