metadata
tags:
- mteb
model-index:
- name: nomic_classification_200
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 71.28358208955224
- type: ap
value: 33.66386574331778
- type: f1
value: 65.12063489555823
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 65.02680000000001
- type: ap
value: 60.070622711685154
- type: f1
value: 64.78260173963163
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 34.3
- type: f1
value: 33.7662445845029
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 20.341
- type: map_at_10
value: 33.341
- type: map_at_100
value: 34.624
- type: map_at_1000
value: 34.654
- type: map_at_3
value: 29.195999999999998
- type: map_at_5
value: 31.479000000000003
- type: mrr_at_1
value: 21.053
- type: mrr_at_10
value: 33.6
- type: mrr_at_100
value: 34.882999999999996
- type: mrr_at_1000
value: 34.913
- type: mrr_at_3
value: 29.421999999999997
- type: mrr_at_5
value: 31.740000000000002
- type: ndcg_at_1
value: 20.341
- type: ndcg_at_10
value: 40.826
- type: ndcg_at_100
value: 46.908
- type: ndcg_at_1000
value: 47.668
- type: ndcg_at_3
value: 32.193
- type: ndcg_at_5
value: 36.33
- type: precision_at_1
value: 20.341
- type: precision_at_10
value: 6.486
- type: precision_at_100
value: 0.9299999999999999
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 13.632
- type: precision_at_5
value: 10.199
- type: recall_at_1
value: 20.341
- type: recall_at_10
value: 64.865
- type: recall_at_100
value: 92.959
- type: recall_at_1000
value: 98.86200000000001
- type: recall_at_3
value: 40.896
- type: recall_at_5
value: 50.995999999999995
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 32.63202519294819
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 22.783776496468455
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 52.48633508778761
- type: mrr
value: 67.45174339357165
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 78.88720886246492
- type: cos_sim_spearman
value: 77.41381211899598
- type: euclidean_pearson
value: 78.55889174914572
- type: euclidean_spearman
value: 77.41381211899598
- type: manhattan_pearson
value: 79.12804749919536
- type: manhattan_spearman
value: 77.78851945213748
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 70.7792207792208
- type: f1
value: 69.8536410744015
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 31.335127380323787
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 22.292135810452425
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 20.015
- type: map_at_10
value: 27.367
- type: map_at_100
value: 28.445999999999998
- type: map_at_1000
value: 28.594
- type: map_at_3
value: 25.041000000000004
- type: map_at_5
value: 26.36
- type: mrr_at_1
value: 25.322
- type: mrr_at_10
value: 32.632
- type: mrr_at_100
value: 33.476
- type: mrr_at_1000
value: 33.553
- type: mrr_at_3
value: 30.544
- type: mrr_at_5
value: 31.680999999999997
- type: ndcg_at_1
value: 25.322
- type: ndcg_at_10
value: 32.147
- type: ndcg_at_100
value: 37.099
- type: ndcg_at_1000
value: 40.354
- type: ndcg_at_3
value: 28.565
- type: ndcg_at_5
value: 30.153999999999996
- type: precision_at_1
value: 25.322
- type: precision_at_10
value: 6.209
- type: precision_at_100
value: 1.0739999999999998
- type: precision_at_1000
value: 0.164
- type: precision_at_3
value: 13.733999999999998
- type: precision_at_5
value: 10.100000000000001
- type: recall_at_1
value: 20.015
- type: recall_at_10
value: 40.727000000000004
- type: recall_at_100
value: 62.831
- type: recall_at_1000
value: 85.287
- type: recall_at_3
value: 30.23
- type: recall_at_5
value: 34.589
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 15.783
- type: map_at_10
value: 20.898
- type: map_at_100
value: 21.797
- type: map_at_1000
value: 21.924
- type: map_at_3
value: 19.247
- type: map_at_5
value: 20.145
- type: mrr_at_1
value: 19.936
- type: mrr_at_10
value: 24.984
- type: mrr_at_100
value: 25.752000000000002
- type: mrr_at_1000
value: 25.832
- type: mrr_at_3
value: 23.238
- type: mrr_at_5
value: 24.149
- type: ndcg_at_1
value: 19.936
- type: ndcg_at_10
value: 24.445
- type: ndcg_at_100
value: 28.624
- type: ndcg_at_1000
value: 31.627
- type: ndcg_at_3
value: 21.611
- type: ndcg_at_5
value: 22.781000000000002
- type: precision_at_1
value: 19.936
- type: precision_at_10
value: 4.503
- type: precision_at_100
value: 0.8290000000000001
- type: precision_at_1000
value: 0.132
- type: precision_at_3
value: 10.318
- type: precision_at_5
value: 7.248
- type: recall_at_1
value: 15.783
- type: recall_at_10
value: 30.999
- type: recall_at_100
value: 49.441
- type: recall_at_1000
value: 70.169
- type: recall_at_3
value: 22.676
- type: recall_at_5
value: 26.003999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 23.971
- type: map_at_10
value: 31.85
- type: map_at_100
value: 32.92
- type: map_at_1000
value: 33.016
- type: map_at_3
value: 29.578
- type: map_at_5
value: 30.740000000000002
- type: mrr_at_1
value: 27.773999999999997
- type: mrr_at_10
value: 34.955000000000005
- type: mrr_at_100
value: 35.846000000000004
- type: mrr_at_1000
value: 35.91
- type: mrr_at_3
value: 32.873999999999995
- type: mrr_at_5
value: 33.902
- type: ndcg_at_1
value: 27.773999999999997
- type: ndcg_at_10
value: 36.334
- type: ndcg_at_100
value: 41.522999999999996
- type: ndcg_at_1000
value: 43.838
- type: ndcg_at_3
value: 32.062000000000005
- type: ndcg_at_5
value: 33.83
- type: precision_at_1
value: 27.773999999999997
- type: precision_at_10
value: 5.956
- type: precision_at_100
value: 0.9369999999999999
- type: precision_at_1000
value: 0.122
- type: precision_at_3
value: 14.232
- type: precision_at_5
value: 9.754999999999999
- type: recall_at_1
value: 23.971
- type: recall_at_10
value: 46.878
- type: recall_at_100
value: 70.474
- type: recall_at_1000
value: 87.362
- type: recall_at_3
value: 35.265
- type: recall_at_5
value: 39.660000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 10.639999999999999
- type: map_at_10
value: 14.456
- type: map_at_100
value: 15.161
- type: map_at_1000
value: 15.271
- type: map_at_3
value: 13.227
- type: map_at_5
value: 13.911999999999999
- type: mrr_at_1
value: 11.751000000000001
- type: mrr_at_10
value: 15.695
- type: mrr_at_100
value: 16.395
- type: mrr_at_1000
value: 16.497
- type: mrr_at_3
value: 14.482000000000001
- type: mrr_at_5
value: 15.121
- type: ndcg_at_1
value: 11.751000000000001
- type: ndcg_at_10
value: 16.898
- type: ndcg_at_100
value: 20.824
- type: ndcg_at_1000
value: 24.127000000000002
- type: ndcg_at_3
value: 14.413
- type: ndcg_at_5
value: 15.595999999999998
- type: precision_at_1
value: 11.751000000000001
- type: precision_at_10
value: 2.644
- type: precision_at_100
value: 0.492
- type: precision_at_1000
value: 0.082
- type: precision_at_3
value: 6.215
- type: precision_at_5
value: 4.3839999999999995
- type: recall_at_1
value: 10.639999999999999
- type: recall_at_10
value: 23.346
- type: recall_at_100
value: 42.341
- type: recall_at_1000
value: 68.136
- type: recall_at_3
value: 16.544
- type: recall_at_5
value: 19.416
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 5.461
- type: map_at_10
value: 8.798
- type: map_at_100
value: 9.379
- type: map_at_1000
value: 9.494
- type: map_at_3
value: 7.541
- type: map_at_5
value: 8.241999999999999
- type: mrr_at_1
value: 7.2139999999999995
- type: mrr_at_10
value: 10.821
- type: mrr_at_100
value: 11.472999999999999
- type: mrr_at_1000
value: 11.573
- type: mrr_at_3
value: 9.411
- type: mrr_at_5
value: 10.176
- type: ndcg_at_1
value: 7.2139999999999995
- type: ndcg_at_10
value: 11.175
- type: ndcg_at_100
value: 14.634
- type: ndcg_at_1000
value: 18.203
- type: ndcg_at_3
value: 8.729000000000001
- type: ndcg_at_5
value: 9.876999999999999
- type: precision_at_1
value: 7.2139999999999995
- type: precision_at_10
value: 2.189
- type: precision_at_100
value: 0.46299999999999997
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 4.229
- type: precision_at_5
value: 3.2840000000000003
- type: recall_at_1
value: 5.461
- type: recall_at_10
value: 16.6
- type: recall_at_100
value: 32.747
- type: recall_at_1000
value: 59.382999999999996
- type: recall_at_3
value: 9.856
- type: recall_at_5
value: 12.763
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 16.426
- type: map_at_10
value: 21.875
- type: map_at_100
value: 22.918
- type: map_at_1000
value: 23.058999999999997
- type: map_at_3
value: 19.924
- type: map_at_5
value: 20.964
- type: mrr_at_1
value: 20.5
- type: mrr_at_10
value: 26.284000000000002
- type: mrr_at_100
value: 27.159
- type: mrr_at_1000
value: 27.249000000000002
- type: mrr_at_3
value: 24.334
- type: mrr_at_5
value: 25.427
- type: ndcg_at_1
value: 20.5
- type: ndcg_at_10
value: 25.85
- type: ndcg_at_100
value: 30.994
- type: ndcg_at_1000
value: 34.309
- type: ndcg_at_3
value: 22.355
- type: ndcg_at_5
value: 23.904
- type: precision_at_1
value: 20.5
- type: precision_at_10
value: 4.726
- type: precision_at_100
value: 0.885
- type: precision_at_1000
value: 0.13699999999999998
- type: precision_at_3
value: 10.491
- type: precision_at_5
value: 7.603
- type: recall_at_1
value: 16.426
- type: recall_at_10
value: 33.777
- type: recall_at_100
value: 56.346
- type: recall_at_1000
value: 79.522
- type: recall_at_3
value: 23.695
- type: recall_at_5
value: 27.647
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 10.634
- type: map_at_10
value: 15.799
- type: map_at_100
value: 16.698
- type: map_at_1000
value: 16.838
- type: map_at_3
value: 14.106
- type: map_at_5
value: 14.915000000000001
- type: mrr_at_1
value: 13.469999999999999
- type: mrr_at_10
value: 18.925
- type: mrr_at_100
value: 19.789
- type: mrr_at_1000
value: 19.884
- type: mrr_at_3
value: 17.199
- type: mrr_at_5
value: 18.056
- type: ndcg_at_1
value: 13.469999999999999
- type: ndcg_at_10
value: 19.292
- type: ndcg_at_100
value: 23.813000000000002
- type: ndcg_at_1000
value: 27.423
- type: ndcg_at_3
value: 16.141
- type: ndcg_at_5
value: 17.330000000000002
- type: precision_at_1
value: 13.469999999999999
- type: precision_at_10
value: 3.7560000000000002
- type: precision_at_100
value: 0.716
- type: precision_at_1000
value: 0.12
- type: precision_at_3
value: 7.915
- type: precision_at_5
value: 5.731
- type: recall_at_1
value: 10.634
- type: recall_at_10
value: 26.808
- type: recall_at_100
value: 46.653
- type: recall_at_1000
value: 72.539
- type: recall_at_3
value: 17.993000000000002
- type: recall_at_5
value: 21.159
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 12.800083333333333
- type: map_at_10
value: 17.65583333333333
- type: map_at_100
value: 18.47741666666667
- type: map_at_1000
value: 18.600916666666667
- type: map_at_3
value: 16.103666666666665
- type: map_at_5
value: 16.951
- type: mrr_at_1
value: 15.638666666666664
- type: mrr_at_10
value: 20.579250000000005
- type: mrr_at_100
value: 21.334916666666672
- type: mrr_at_1000
value: 21.425666666666668
- type: mrr_at_3
value: 18.994333333333334
- type: mrr_at_5
value: 19.87133333333333
- type: ndcg_at_1
value: 15.638666666666664
- type: ndcg_at_10
value: 20.875833333333325
- type: ndcg_at_100
value: 25.0565
- type: ndcg_at_1000
value: 28.304666666666666
- type: ndcg_at_3
value: 18.02975
- type: ndcg_at_5
value: 19.315499999999997
- type: precision_at_1
value: 15.638666666666664
- type: precision_at_10
value: 3.753416666666667
- type: precision_at_100
value: 0.6961666666666666
- type: precision_at_1000
value: 0.11475
- type: precision_at_3
value: 8.384416666666665
- type: precision_at_5
value: 6.048583333333333
- type: recall_at_1
value: 12.800083333333333
- type: recall_at_10
value: 27.719583333333333
- type: recall_at_100
value: 46.8605
- type: recall_at_1000
value: 70.65391666666666
- type: recall_at_3
value: 19.736000000000004
- type: recall_at_5
value: 23.03333333333333
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 9.246
- type: map_at_10
value: 12.98
- type: map_at_100
value: 13.569999999999999
- type: map_at_1000
value: 13.663
- type: map_at_3
value: 11.747
- type: map_at_5
value: 12.457
- type: mrr_at_1
value: 11.35
- type: mrr_at_10
value: 15.07
- type: mrr_at_100
value: 15.661
- type: mrr_at_1000
value: 15.745999999999999
- type: mrr_at_3
value: 13.753000000000002
- type: mrr_at_5
value: 14.527000000000001
- type: ndcg_at_1
value: 11.35
- type: ndcg_at_10
value: 15.475
- type: ndcg_at_100
value: 18.58
- type: ndcg_at_1000
value: 21.174
- type: ndcg_at_3
value: 13.175999999999998
- type: ndcg_at_5
value: 14.324
- type: precision_at_1
value: 11.35
- type: precision_at_10
value: 2.669
- type: precision_at_100
value: 0.468
- type: precision_at_1000
value: 0.074
- type: precision_at_3
value: 5.982
- type: precision_at_5
value: 4.4479999999999995
- type: recall_at_1
value: 9.246
- type: recall_at_10
value: 21.17
- type: recall_at_100
value: 35.565999999999995
- type: recall_at_1000
value: 55.323
- type: recall_at_3
value: 14.889
- type: recall_at_5
value: 17.685000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 6.927999999999999
- type: map_at_10
value: 10.035
- type: map_at_100
value: 10.615
- type: map_at_1000
value: 10.727
- type: map_at_3
value: 9.058
- type: map_at_5
value: 9.600999999999999
- type: mrr_at_1
value: 8.534
- type: mrr_at_10
value: 12.063
- type: mrr_at_100
value: 12.666
- type: mrr_at_1000
value: 12.763
- type: mrr_at_3
value: 10.926
- type: mrr_at_5
value: 11.557
- type: ndcg_at_1
value: 8.534
- type: ndcg_at_10
value: 12.22
- type: ndcg_at_100
value: 15.472
- type: ndcg_at_1000
value: 18.898
- type: ndcg_at_3
value: 10.290000000000001
- type: ndcg_at_5
value: 11.193999999999999
- type: precision_at_1
value: 8.534
- type: precision_at_10
value: 2.2849999999999997
- type: precision_at_100
value: 0.47200000000000003
- type: precision_at_1000
value: 0.093
- type: precision_at_3
value: 4.944
- type: precision_at_5
value: 3.627
- type: recall_at_1
value: 6.927999999999999
- type: recall_at_10
value: 16.872
- type: recall_at_100
value: 31.983
- type: recall_at_1000
value: 57.742000000000004
- type: recall_at_3
value: 11.552999999999999
- type: recall_at_5
value: 13.791999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 11.292
- type: map_at_10
value: 15.271
- type: map_at_100
value: 16.014999999999997
- type: map_at_1000
value: 16.133
- type: map_at_3
value: 13.897
- type: map_at_5
value: 14.616000000000001
- type: mrr_at_1
value: 13.713000000000001
- type: mrr_at_10
value: 17.943
- type: mrr_at_100
value: 18.740000000000002
- type: mrr_at_1000
value: 18.841
- type: mrr_at_3
value: 16.48
- type: mrr_at_5
value: 17.273
- type: ndcg_at_1
value: 13.713000000000001
- type: ndcg_at_10
value: 18.163999999999998
- type: ndcg_at_100
value: 22.157
- type: ndcg_at_1000
value: 25.588
- type: ndcg_at_3
value: 15.459
- type: ndcg_at_5
value: 16.634
- type: precision_at_1
value: 13.713000000000001
- type: precision_at_10
value: 3.125
- type: precision_at_100
value: 0.5640000000000001
- type: precision_at_1000
value: 0.097
- type: precision_at_3
value: 7.090000000000001
- type: precision_at_5
value: 5.037
- type: recall_at_1
value: 11.292
- type: recall_at_10
value: 24.583
- type: recall_at_100
value: 42.943
- type: recall_at_1000
value: 68.504
- type: recall_at_3
value: 16.976
- type: recall_at_5
value: 20.021
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 13.672999999999998
- type: map_at_10
value: 19.087
- type: map_at_100
value: 20.027
- type: map_at_1000
value: 20.199
- type: map_at_3
value: 17.491
- type: map_at_5
value: 18.44
- type: mrr_at_1
value: 17.194000000000003
- type: mrr_at_10
value: 22.621
- type: mrr_at_100
value: 23.408
- type: mrr_at_1000
value: 23.5
- type: mrr_at_3
value: 20.982
- type: mrr_at_5
value: 22.148
- type: ndcg_at_1
value: 17.194000000000003
- type: ndcg_at_10
value: 22.694
- type: ndcg_at_100
value: 27.099
- type: ndcg_at_1000
value: 30.830999999999996
- type: ndcg_at_3
value: 20.009
- type: ndcg_at_5
value: 21.461
- type: precision_at_1
value: 17.194000000000003
- type: precision_at_10
value: 4.447
- type: precision_at_100
value: 0.96
- type: precision_at_1000
value: 0.179
- type: precision_at_3
value: 9.486
- type: precision_at_5
value: 7.115
- type: recall_at_1
value: 13.672999999999998
- type: recall_at_10
value: 29.137
- type: recall_at_100
value: 49.652
- type: recall_at_1000
value: 75.766
- type: recall_at_3
value: 21.647
- type: recall_at_5
value: 25.291000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 9.532
- type: map_at_10
value: 13.453999999999999
- type: map_at_100
value: 14.183000000000002
- type: map_at_1000
value: 14.293
- type: map_at_3
value: 12.386999999999999
- type: map_at_5
value: 13.020000000000001
- type: mrr_at_1
value: 10.906
- type: mrr_at_10
value: 14.957999999999998
- type: mrr_at_100
value: 15.654000000000002
- type: mrr_at_1000
value: 15.76
- type: mrr_at_3
value: 13.709
- type: mrr_at_5
value: 14.438999999999998
- type: ndcg_at_1
value: 10.906
- type: ndcg_at_10
value: 15.815999999999999
- type: ndcg_at_100
value: 19.858999999999998
- type: ndcg_at_1000
value: 23.284
- type: ndcg_at_3
value: 13.547
- type: ndcg_at_5
value: 14.701
- type: precision_at_1
value: 10.906
- type: precision_at_10
value: 2.532
- type: precision_at_100
value: 0.494
- type: precision_at_1000
value: 0.086
- type: precision_at_3
value: 5.976999999999999
- type: precision_at_5
value: 4.251
- type: recall_at_1
value: 9.532
- type: recall_at_10
value: 21.738
- type: recall_at_100
value: 41.349000000000004
- type: recall_at_1000
value: 68.11399999999999
- type: recall_at_3
value: 15.508
- type: recall_at_5
value: 18.373
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 5.144
- type: map_at_10
value: 8.993
- type: map_at_100
value: 10.158000000000001
- type: map_at_1000
value: 10.35
- type: map_at_3
value: 7.133000000000001
- type: map_at_5
value: 8.065
- type: mrr_at_1
value: 11.27
- type: mrr_at_10
value: 18.188
- type: mrr_at_100
value: 19.303
- type: mrr_at_1000
value: 19.389
- type: mrr_at_3
value: 15.342
- type: mrr_at_5
value: 16.869999999999997
- type: ndcg_at_1
value: 11.27
- type: ndcg_at_10
value: 13.73
- type: ndcg_at_100
value: 19.566
- type: ndcg_at_1000
value: 23.738
- type: ndcg_at_3
value: 10.029
- type: ndcg_at_5
value: 11.4
- type: precision_at_1
value: 11.27
- type: precision_at_10
value: 4.704
- type: precision_at_100
value: 1.1039999999999999
- type: precision_at_1000
value: 0.185
- type: precision_at_3
value: 7.535
- type: precision_at_5
value: 6.345000000000001
- type: recall_at_1
value: 5.144
- type: recall_at_10
value: 17.933
- type: recall_at_100
value: 38.919
- type: recall_at_1000
value: 63.21
- type: recall_at_3
value: 9.372
- type: recall_at_5
value: 12.673000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 2.473
- type: map_at_10
value: 6.051
- type: map_at_100
value: 8.325000000000001
- type: map_at_1000
value: 8.962
- type: map_at_3
value: 4.204
- type: map_at_5
value: 4.949
- type: mrr_at_1
value: 28.499999999999996
- type: mrr_at_10
value: 38.123000000000005
- type: mrr_at_100
value: 39.052
- type: mrr_at_1000
value: 39.103
- type: mrr_at_3
value: 35.333
- type: mrr_at_5
value: 37.108000000000004
- type: ndcg_at_1
value: 20.625
- type: ndcg_at_10
value: 16.834
- type: ndcg_at_100
value: 18.847
- type: ndcg_at_1000
value: 24.842
- type: ndcg_at_3
value: 18.395
- type: ndcg_at_5
value: 17.454
- type: precision_at_1
value: 28.499999999999996
- type: precision_at_10
value: 15.4
- type: precision_at_100
value: 4.75
- type: precision_at_1000
value: 1.028
- type: precision_at_3
value: 21.833
- type: precision_at_5
value: 19.3
- type: recall_at_1
value: 2.473
- type: recall_at_10
value: 9.828000000000001
- type: recall_at_100
value: 23.686
- type: recall_at_1000
value: 44.414
- type: recall_at_3
value: 5.0569999999999995
- type: recall_at_5
value: 6.662
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 43.42
- type: f1
value: 39.33089229309943
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 10.352
- type: map_at_10
value: 15.461
- type: map_at_100
value: 16.3
- type: map_at_1000
value: 16.381999999999998
- type: map_at_3
value: 13.736999999999998
- type: map_at_5
value: 14.665000000000001
- type: mrr_at_1
value: 11.011
- type: mrr_at_10
value: 16.45
- type: mrr_at_100
value: 17.311
- type: mrr_at_1000
value: 17.388
- type: mrr_at_3
value: 14.613999999999999
- type: mrr_at_5
value: 15.603
- type: ndcg_at_1
value: 11.011
- type: ndcg_at_10
value: 18.724
- type: ndcg_at_100
value: 23.180999999999997
- type: ndcg_at_1000
value: 25.630999999999997
- type: ndcg_at_3
value: 15.091
- type: ndcg_at_5
value: 16.787
- type: precision_at_1
value: 11.011
- type: precision_at_10
value: 3.0540000000000003
- type: precision_at_100
value: 0.545
- type: precision_at_1000
value: 0.077
- type: precision_at_3
value: 6.511
- type: precision_at_5
value: 4.8
- type: recall_at_1
value: 10.352
- type: recall_at_10
value: 28.076
- type: recall_at_100
value: 49.275000000000006
- type: recall_at_1000
value: 68.601
- type: recall_at_3
value: 18.128
- type: recall_at_5
value: 22.231
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 5.813
- type: map_at_10
value: 9.283
- type: map_at_100
value: 10.215
- type: map_at_1000
value: 10.397
- type: map_at_3
value: 7.832999999999999
- type: map_at_5
value: 8.626000000000001
- type: mrr_at_1
value: 11.728
- type: mrr_at_10
value: 16.657
- type: mrr_at_100
value: 17.560000000000002
- type: mrr_at_1000
value: 17.671
- type: mrr_at_3
value: 14.738000000000001
- type: mrr_at_5
value: 15.764
- type: ndcg_at_1
value: 11.728
- type: ndcg_at_10
value: 12.912
- type: ndcg_at_100
value: 17.749000000000002
- type: ndcg_at_1000
value: 22.393
- type: ndcg_at_3
value: 10.729
- type: ndcg_at_5
value: 11.600000000000001
- type: precision_at_1
value: 11.728
- type: precision_at_10
value: 3.7350000000000003
- type: precision_at_100
value: 0.864
- type: precision_at_1000
value: 0.165
- type: precision_at_3
value: 7.202
- type: precision_at_5
value: 5.679
- type: recall_at_1
value: 5.813
- type: recall_at_10
value: 16.436
- type: recall_at_100
value: 35.632000000000005
- type: recall_at_1000
value: 65.389
- type: recall_at_3
value: 9.771
- type: recall_at_5
value: 12.5
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 12.120000000000001
- type: map_at_10
value: 17.019000000000002
- type: map_at_100
value: 17.765
- type: map_at_1000
value: 17.87
- type: map_at_3
value: 15.603
- type: map_at_5
value: 16.344
- type: mrr_at_1
value: 24.240000000000002
- type: mrr_at_10
value: 30.262
- type: mrr_at_100
value: 30.993
- type: mrr_at_1000
value: 31.067
- type: mrr_at_3
value: 28.591
- type: mrr_at_5
value: 29.507
- type: ndcg_at_1
value: 24.240000000000002
- type: ndcg_at_10
value: 22.355
- type: ndcg_at_100
value: 26.128
- type: ndcg_at_1000
value: 28.953
- type: ndcg_at_3
value: 19.458000000000002
- type: ndcg_at_5
value: 20.784
- type: precision_at_1
value: 24.240000000000002
- type: precision_at_10
value: 5.025
- type: precision_at_100
value: 0.808
- type: precision_at_1000
value: 0.11900000000000001
- type: precision_at_3
value: 12.348
- type: precision_at_5
value: 8.459
- type: recall_at_1
value: 12.120000000000001
- type: recall_at_10
value: 25.124999999999996
- type: recall_at_100
value: 40.405
- type: recall_at_1000
value: 59.413000000000004
- type: recall_at_3
value: 18.521
- type: recall_at_5
value: 21.148
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 65.2588
- type: ap
value: 60.23157934233188
- type: f1
value: 65.12947184169569
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 5.322
- type: map_at_10
value: 8.837
- type: map_at_100
value: 9.538
- type: map_at_1000
value: 9.635
- type: map_at_3
value: 7.457999999999999
- type: map_at_5
value: 8.161
- type: mrr_at_1
value: 5.501
- type: mrr_at_10
value: 9.094
- type: mrr_at_100
value: 9.802
- type: mrr_at_1000
value: 9.897
- type: mrr_at_3
value: 7.689
- type: mrr_at_5
value: 8.404
- type: ndcg_at_1
value: 5.473
- type: ndcg_at_10
value: 11.153
- type: ndcg_at_100
value: 15.167
- type: ndcg_at_1000
value: 18.188
- type: ndcg_at_3
value: 8.238
- type: ndcg_at_5
value: 9.507
- type: precision_at_1
value: 5.473
- type: precision_at_10
value: 1.9140000000000001
- type: precision_at_100
value: 0.40299999999999997
- type: precision_at_1000
value: 0.066
- type: precision_at_3
value: 3.558
- type: precision_at_5
value: 2.777
- type: recall_at_1
value: 5.322
- type: recall_at_10
value: 18.387999999999998
- type: recall_at_100
value: 38.307
- type: recall_at_1000
value: 62.709
- type: recall_at_3
value: 10.294
- type: recall_at_5
value: 13.34
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 88.34473324213405
- type: f1
value: 87.67380611922604
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 60.079799361605104
- type: f1
value: 40.94145320708008
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 62.5084061869536
- type: f1
value: 60.45328085918922
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 69.30733019502352
- type: f1
value: 67.93760790702412
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 27.52146393422655
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 24.72290764990727
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 28.70371324884553
- type: mrr
value: 29.579215048956236
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 2.844
- type: map_at_10
value: 5.992999999999999
- type: map_at_100
value: 7.622
- type: map_at_1000
value: 8.837
- type: map_at_3
value: 4.533
- type: map_at_5
value: 5.251
- type: mrr_at_1
value: 27.554000000000002
- type: mrr_at_10
value: 37.674
- type: mrr_at_100
value: 38.334
- type: mrr_at_1000
value: 38.412
- type: mrr_at_3
value: 35.036
- type: mrr_at_5
value: 36.305
- type: ndcg_at_1
value: 26.006
- type: ndcg_at_10
value: 20.526
- type: ndcg_at_100
value: 19.554
- type: ndcg_at_1000
value: 29.331000000000003
- type: ndcg_at_3
value: 23.471
- type: ndcg_at_5
value: 22.229
- type: precision_at_1
value: 27.554000000000002
- type: precision_at_10
value: 15.139
- type: precision_at_100
value: 5.628
- type: precision_at_1000
value: 1.894
- type: precision_at_3
value: 22.291
- type: precision_at_5
value: 19.195
- type: recall_at_1
value: 2.844
- type: recall_at_10
value: 10.363
- type: recall_at_100
value: 22.177
- type: recall_at_1000
value: 56.688
- type: recall_at_3
value: 5.955
- type: recall_at_5
value: 7.684
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 7.727
- type: map_at_10
value: 13.036
- type: map_at_100
value: 14.033000000000001
- type: map_at_1000
value: 14.141
- type: map_at_3
value: 11.01
- type: map_at_5
value: 12.049999999999999
- type: mrr_at_1
value: 8.834999999999999
- type: mrr_at_10
value: 14.482999999999999
- type: mrr_at_100
value: 15.442
- type: mrr_at_1000
value: 15.536
- type: mrr_at_3
value: 12.365
- type: mrr_at_5
value: 13.459999999999999
- type: ndcg_at_1
value: 8.834999999999999
- type: ndcg_at_10
value: 16.633
- type: ndcg_at_100
value: 21.907
- type: ndcg_at_1000
value: 24.868000000000002
- type: ndcg_at_3
value: 12.384
- type: ndcg_at_5
value: 14.258000000000001
- type: precision_at_1
value: 8.834999999999999
- type: precision_at_10
value: 3.094
- type: precision_at_100
value: 0.612
- type: precision_at_1000
value: 0.089
- type: precision_at_3
value: 5.774
- type: precision_at_5
value: 4.496
- type: recall_at_1
value: 7.727
- type: recall_at_10
value: 26.497
- type: recall_at_100
value: 51.376
- type: recall_at_1000
value: 74.10900000000001
- type: recall_at_3
value: 15.059000000000001
- type: recall_at_5
value: 19.457
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 59.06400000000001
- type: map_at_10
value: 70.985
- type: map_at_100
value: 71.811
- type: map_at_1000
value: 71.854
- type: map_at_3
value: 68.113
- type: map_at_5
value: 69.782
- type: mrr_at_1
value: 68.02
- type: mrr_at_10
value: 75.626
- type: mrr_at_100
value: 75.955
- type: mrr_at_1000
value: 75.965
- type: mrr_at_3
value: 74.008
- type: mrr_at_5
value: 75.006
- type: ndcg_at_1
value: 68.14
- type: ndcg_at_10
value: 75.901
- type: ndcg_at_100
value: 78.469
- type: ndcg_at_1000
value: 79.066
- type: ndcg_at_3
value: 72.107
- type: ndcg_at_5
value: 73.944
- type: precision_at_1
value: 68.14
- type: precision_at_10
value: 11.498
- type: precision_at_100
value: 1.409
- type: precision_at_1000
value: 0.153
- type: precision_at_3
value: 31.136999999999997
- type: precision_at_5
value: 20.608
- type: recall_at_1
value: 59.06400000000001
- type: recall_at_10
value: 85.37
- type: recall_at_100
value: 95.49499999999999
- type: recall_at_1000
value: 99.10600000000001
- type: recall_at_3
value: 74.504
- type: recall_at_5
value: 79.617
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 36.43153810326964
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 43.541298978174936
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.393
- type: map_at_10
value: 5.681
- type: map_at_100
value: 6.8580000000000005
- type: map_at_1000
value: 7.087000000000001
- type: map_at_3
value: 4.226
- type: map_at_5
value: 4.982
- type: mrr_at_1
value: 11.700000000000001
- type: mrr_at_10
value: 18.883
- type: mrr_at_100
value: 20.133000000000003
- type: mrr_at_1000
value: 20.235
- type: mrr_at_3
value: 16.483
- type: mrr_at_5
value: 17.868000000000002
- type: ndcg_at_1
value: 11.700000000000001
- type: ndcg_at_10
value: 10.334999999999999
- type: ndcg_at_100
value: 16.182
- type: ndcg_at_1000
value: 21.252
- type: ndcg_at_3
value: 9.837
- type: ndcg_at_5
value: 8.665000000000001
- type: precision_at_1
value: 11.700000000000001
- type: precision_at_10
value: 5.37
- type: precision_at_100
value: 1.396
- type: precision_at_1000
value: 0.263
- type: precision_at_3
value: 9.333
- type: precision_at_5
value: 7.720000000000001
- type: recall_at_1
value: 2.393
- type: recall_at_10
value: 10.902000000000001
- type: recall_at_100
value: 28.377000000000002
- type: recall_at_1000
value: 53.378
- type: recall_at_3
value: 5.6930000000000005
- type: recall_at_5
value: 7.828
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 76.5584234869778
- type: cos_sim_spearman
value: 67.9364372842477
- type: euclidean_pearson
value: 73.27076465715946
- type: euclidean_spearman
value: 67.93647749958936
- type: manhattan_pearson
value: 72.13910193683036
- type: manhattan_spearman
value: 66.61518749698374
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 72.86660961012544
- type: cos_sim_spearman
value: 65.57182934430755
- type: euclidean_pearson
value: 69.29233759067908
- type: euclidean_spearman
value: 65.57304558951748
- type: manhattan_pearson
value: 70.31781501220479
- type: manhattan_spearman
value: 66.85340801659174
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 77.69577150435398
- type: cos_sim_spearman
value: 79.03112671704807
- type: euclidean_pearson
value: 78.60981017083087
- type: euclidean_spearman
value: 79.0311645213213
- type: manhattan_pearson
value: 79.22756096679643
- type: manhattan_spearman
value: 79.7311227799491
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 76.93990405247241
- type: cos_sim_spearman
value: 73.79147577901793
- type: euclidean_pearson
value: 76.14246068970958
- type: euclidean_spearman
value: 73.79146608888966
- type: manhattan_pearson
value: 76.36222818331179
- type: manhattan_spearman
value: 74.28614733053001
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 79.34424026928464
- type: cos_sim_spearman
value: 80.5594037713743
- type: euclidean_pearson
value: 80.63525752212392
- type: euclidean_spearman
value: 80.55939249403838
- type: manhattan_pearson
value: 81.34602933631498
- type: manhattan_spearman
value: 81.38418448767962
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 74.61995336850698
- type: cos_sim_spearman
value: 76.0347837515053
- type: euclidean_pearson
value: 75.86835266904347
- type: euclidean_spearman
value: 76.03505537942084
- type: manhattan_pearson
value: 76.51813387781434
- type: manhattan_spearman
value: 76.74020230470897
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 82.19299429529762
- type: cos_sim_spearman
value: 83.50456422406354
- type: euclidean_pearson
value: 83.73656764055873
- type: euclidean_spearman
value: 83.50543867653234
- type: manhattan_pearson
value: 84.06556681959736
- type: manhattan_spearman
value: 83.83490502371635
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 62.47312170802807
- type: cos_sim_spearman
value: 60.18545716262269
- type: euclidean_pearson
value: 62.71728709453116
- type: euclidean_spearman
value: 60.18545716262269
- type: manhattan_pearson
value: 63.624462431857054
- type: manhattan_spearman
value: 61.26879246163699
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 76.51955498871753
- type: cos_sim_spearman
value: 75.31849064221164
- type: euclidean_pearson
value: 76.81716282761909
- type: euclidean_spearman
value: 75.31850911084204
- type: manhattan_pearson
value: 77.37977858758349
- type: manhattan_spearman
value: 75.83034176427023
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 70.66775280209716
- type: mrr
value: 89.82565818350132
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 29.471999999999998
- type: map_at_10
value: 37.045
- type: map_at_100
value: 38.098
- type: map_at_1000
value: 38.182
- type: map_at_3
value: 35.111
- type: map_at_5
value: 36.219
- type: mrr_at_1
value: 31
- type: mrr_at_10
value: 38.579
- type: mrr_at_100
value: 39.443
- type: mrr_at_1000
value: 39.515
- type: mrr_at_3
value: 36.944
- type: mrr_at_5
value: 37.794
- type: ndcg_at_1
value: 31
- type: ndcg_at_10
value: 41.112
- type: ndcg_at_100
value: 46.665
- type: ndcg_at_1000
value: 48.852000000000004
- type: ndcg_at_3
value: 37.385000000000005
- type: ndcg_at_5
value: 39.094
- type: precision_at_1
value: 31
- type: precision_at_10
value: 5.7669999999999995
- type: precision_at_100
value: 0.893
- type: precision_at_1000
value: 0.108
- type: precision_at_3
value: 15.110999999999999
- type: precision_at_5
value: 10.133000000000001
- type: recall_at_1
value: 29.471999999999998
- type: recall_at_10
value: 52.178000000000004
- type: recall_at_100
value: 79.072
- type: recall_at_1000
value: 96.133
- type: recall_at_3
value: 41.833
- type: recall_at_5
value: 45.928000000000004
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.60792079207921
- type: cos_sim_ap
value: 86.1403533011479
- type: cos_sim_f1
value: 79.5031055900621
- type: cos_sim_precision
value: 82.40343347639485
- type: cos_sim_recall
value: 76.8
- type: dot_accuracy
value: 99.60792079207921
- type: dot_ap
value: 86.1403533011479
- type: dot_f1
value: 79.5031055900621
- type: dot_precision
value: 82.40343347639485
- type: dot_recall
value: 76.8
- type: euclidean_accuracy
value: 99.60792079207921
- type: euclidean_ap
value: 86.1403533011479
- type: euclidean_f1
value: 79.5031055900621
- type: euclidean_precision
value: 82.40343347639485
- type: euclidean_recall
value: 76.8
- type: manhattan_accuracy
value: 99.66930693069307
- type: manhattan_ap
value: 89.31222064600665
- type: manhattan_f1
value: 82.57930317212688
- type: manhattan_precision
value: 86.02383531960996
- type: manhattan_recall
value: 79.4
- type: max_accuracy
value: 99.66930693069307
- type: max_ap
value: 89.31222064600665
- type: max_f1
value: 82.57930317212688
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 39.947170328852884
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 29.337074507154036
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 43.1628779493265
- type: mrr
value: 43.62989135047959
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.58115865136649
- type: cos_sim_spearman
value: 29.922054056097767
- type: dot_pearson
value: 30.58115861521069
- type: dot_spearman
value: 29.81538965399958
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.092
- type: map_at_10
value: 0.585
- type: map_at_100
value: 3.256
- type: map_at_1000
value: 8.3
- type: map_at_3
value: 0.232
- type: map_at_5
value: 0.33
- type: mrr_at_1
value: 44
- type: mrr_at_10
value: 54.848
- type: mrr_at_100
value: 55.55
- type: mrr_at_1000
value: 55.586999999999996
- type: mrr_at_3
value: 51.666999999999994
- type: mrr_at_5
value: 52.567
- type: ndcg_at_1
value: 36
- type: ndcg_at_10
value: 35.045
- type: ndcg_at_100
value: 27.206000000000003
- type: ndcg_at_1000
value: 25.343
- type: ndcg_at_3
value: 37.123
- type: ndcg_at_5
value: 34.885
- type: precision_at_1
value: 44
- type: precision_at_10
value: 39.2
- type: precision_at_100
value: 28.720000000000002
- type: precision_at_1000
value: 12.617999999999999
- type: precision_at_3
value: 42.667
- type: precision_at_5
value: 38
- type: recall_at_1
value: 0.092
- type: recall_at_10
value: 0.8460000000000001
- type: recall_at_100
value: 5.985
- type: recall_at_1000
value: 24.909
- type: recall_at_3
value: 0.263
- type: recall_at_5
value: 0.395
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.944
- type: map_at_10
value: 7.631
- type: map_at_100
value: 12.347
- type: map_at_1000
value: 13.877999999999998
- type: map_at_3
value: 4.766
- type: map_at_5
value: 6.232
- type: mrr_at_1
value: 26.531
- type: mrr_at_10
value: 39.657
- type: mrr_at_100
value: 40.69
- type: mrr_at_1000
value: 40.692
- type: mrr_at_3
value: 35.374
- type: mrr_at_5
value: 37.517
- type: ndcg_at_1
value: 25.509999999999998
- type: ndcg_at_10
value: 19.248
- type: ndcg_at_100
value: 31.335
- type: ndcg_at_1000
value: 42.858000000000004
- type: ndcg_at_3
value: 23.812
- type: ndcg_at_5
value: 22.506
- type: precision_at_1
value: 26.531
- type: precision_at_10
value: 16.735
- type: precision_at_100
value: 6.938999999999999
- type: precision_at_1000
value: 1.427
- type: precision_at_3
value: 25.169999999999998
- type: precision_at_5
value: 22.857
- type: recall_at_1
value: 1.944
- type: recall_at_10
value: 11.404
- type: recall_at_100
value: 41.831
- type: recall_at_1000
value: 77.27199999999999
- type: recall_at_3
value: 5.5440000000000005
- type: recall_at_5
value: 7.969999999999999
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 69.45700000000001
- type: ap
value: 13.469175027934261
- type: f1
value: 53.36791912322706
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 54.08602150537634
- type: f1
value: 54.293272673368165
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 34.138276585709114
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 84.07939440901234
- type: cos_sim_ap
value: 67.0405163640066
- type: cos_sim_f1
value: 63.662932294203614
- type: cos_sim_precision
value: 59.11352329262777
- type: cos_sim_recall
value: 68.97097625329816
- type: dot_accuracy
value: 84.07939440901234
- type: dot_ap
value: 67.0405163640066
- type: dot_f1
value: 63.662932294203614
- type: dot_precision
value: 59.11352329262777
- type: dot_recall
value: 68.97097625329816
- type: euclidean_accuracy
value: 84.07939440901234
- type: euclidean_ap
value: 67.0405163640066
- type: euclidean_f1
value: 63.662932294203614
- type: euclidean_precision
value: 59.11352329262777
- type: euclidean_recall
value: 68.97097625329816
- type: manhattan_accuracy
value: 83.87673600762949
- type: manhattan_ap
value: 66.16533283565825
- type: manhattan_f1
value: 62.82331746236005
- type: manhattan_precision
value: 61.316252197940216
- type: manhattan_recall
value: 64.40633245382585
- type: max_accuracy
value: 84.07939440901234
- type: max_ap
value: 67.0405163640066
- type: max_f1
value: 63.662932294203614
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.35592036325532
- type: cos_sim_ap
value: 82.35246546365819
- type: cos_sim_f1
value: 74.62482455824667
- type: cos_sim_precision
value: 70.05878775592946
- type: cos_sim_recall
value: 79.82753310748383
- type: dot_accuracy
value: 87.35592036325532
- type: dot_ap
value: 82.35246501956695
- type: dot_f1
value: 74.62482455824667
- type: dot_precision
value: 70.05878775592946
- type: dot_recall
value: 79.82753310748383
- type: euclidean_accuracy
value: 87.35592036325532
- type: euclidean_ap
value: 82.35246658420216
- type: euclidean_f1
value: 74.62482455824667
- type: euclidean_precision
value: 70.05878775592946
- type: euclidean_recall
value: 79.82753310748383
- type: manhattan_accuracy
value: 87.23755190747856
- type: manhattan_ap
value: 82.40925935550737
- type: manhattan_f1
value: 74.54605723546095
- type: manhattan_precision
value: 71.45378803925722
- type: manhattan_recall
value: 77.91807822605482
- type: max_accuracy
value: 87.35592036325532
- type: max_ap
value: 82.40925935550737
- type: max_f1
value: 74.62482455824667