diff --git "a/README.md" "b/README.md"
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+++ "b/README.md"
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+---
+tags:
+- mteb
+model-index:
+- name: mxbai-embed-2d-large-v1
+ results:
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_counterfactual
+ name: MTEB AmazonCounterfactualClassification (en)
+ config: en
+ split: test
+ revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+ metrics:
+ - type: accuracy
+ value: 74.76119402985074
+ - type: ap
+ value: 37.90611182084586
+ - type: f1
+ value: 68.80795400445113
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_polarity
+ name: MTEB AmazonPolarityClassification
+ config: default
+ split: test
+ revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+ metrics:
+ - type: accuracy
+ value: 93.255525
+ - type: ap
+ value: 90.06886124154308
+ - type: f1
+ value: 93.24785420201029
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_reviews_multi
+ name: MTEB AmazonReviewsClassification (en)
+ config: en
+ split: test
+ revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+ metrics:
+ - type: accuracy
+ value: 46.162000000000006
+ - type: f1
+ value: 45.66989189593428
+ - task:
+ type: Retrieval
+ dataset:
+ type: arguana
+ name: MTEB ArguAna
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 37.980000000000004
+ - type: map_at_10
+ value: 54.918
+ - type: map_at_100
+ value: 55.401
+ - type: map_at_1000
+ value: 55.403000000000006
+ - type: map_at_3
+ value: 50.249
+ - type: map_at_5
+ value: 53.400000000000006
+ - type: mrr_at_1
+ value: 38.834
+ - type: mrr_at_10
+ value: 55.24
+ - type: mrr_at_100
+ value: 55.737
+ - type: mrr_at_1000
+ value: 55.738
+ - type: mrr_at_3
+ value: 50.580999999999996
+ - type: mrr_at_5
+ value: 53.71
+ - type: ndcg_at_1
+ value: 37.980000000000004
+ - type: ndcg_at_10
+ value: 63.629000000000005
+ - type: ndcg_at_100
+ value: 65.567
+ - type: ndcg_at_1000
+ value: 65.61399999999999
+ - type: ndcg_at_3
+ value: 54.275
+ - type: ndcg_at_5
+ value: 59.91
+ - type: precision_at_1
+ value: 37.980000000000004
+ - type: precision_at_10
+ value: 9.110999999999999
+ - type: precision_at_100
+ value: 0.993
+ - type: precision_at_1000
+ value: 0.1
+ - type: precision_at_3
+ value: 21.977
+ - type: precision_at_5
+ value: 15.903
+ - type: recall_at_1
+ value: 37.980000000000004
+ - type: recall_at_10
+ value: 91.11
+ - type: recall_at_100
+ value: 99.289
+ - type: recall_at_1000
+ value: 99.644
+ - type: recall_at_3
+ value: 65.932
+ - type: recall_at_5
+ value: 79.51599999999999
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/arxiv-clustering-p2p
+ name: MTEB ArxivClusteringP2P
+ config: default
+ split: test
+ revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+ metrics:
+ - type: v_measure
+ value: 48.28746486562395
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/arxiv-clustering-s2s
+ name: MTEB ArxivClusteringS2S
+ config: default
+ split: test
+ revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+ metrics:
+ - type: v_measure
+ value: 42.335244985544165
+ - task:
+ type: Reranking
+ dataset:
+ type: mteb/askubuntudupquestions-reranking
+ name: MTEB AskUbuntuDupQuestions
+ config: default
+ split: test
+ revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+ metrics:
+ - type: map
+ value: 63.771155681602096
+ - type: mrr
+ value: 76.55993052807459
+ - task:
+ type: STS
+ dataset:
+ type: mteb/biosses-sts
+ name: MTEB BIOSSES
+ config: default
+ split: test
+ revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+ metrics:
+ - type: cos_sim_pearson
+ value: 89.76152904846916
+ - type: cos_sim_spearman
+ value: 88.05622328825284
+ - type: euclidean_pearson
+ value: 88.2821986323439
+ - type: euclidean_spearman
+ value: 88.05622328825284
+ - type: manhattan_pearson
+ value: 87.98419111117559
+ - type: manhattan_spearman
+ value: 87.905617446958
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/banking77
+ name: MTEB Banking77Classification
+ config: default
+ split: test
+ revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+ metrics:
+ - type: accuracy
+ value: 86.65259740259741
+ - type: f1
+ value: 86.62044951853902
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/biorxiv-clustering-p2p
+ name: MTEB BiorxivClusteringP2P
+ config: default
+ split: test
+ revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+ metrics:
+ - type: v_measure
+ value: 39.7270855384167
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/biorxiv-clustering-s2s
+ name: MTEB BiorxivClusteringS2S
+ config: default
+ split: test
+ revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+ metrics:
+ - type: v_measure
+ value: 36.95365397158872
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackAndroidRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 30.604
+ - type: map_at_10
+ value: 42.126999999999995
+ - type: map_at_100
+ value: 43.702999999999996
+ - type: map_at_1000
+ value: 43.851
+ - type: map_at_3
+ value: 38.663
+ - type: map_at_5
+ value: 40.67
+ - type: mrr_at_1
+ value: 37.625
+ - type: mrr_at_10
+ value: 48.203
+ - type: mrr_at_100
+ value: 48.925000000000004
+ - type: mrr_at_1000
+ value: 48.979
+ - type: mrr_at_3
+ value: 45.494
+ - type: mrr_at_5
+ value: 47.288999999999994
+ - type: ndcg_at_1
+ value: 37.625
+ - type: ndcg_at_10
+ value: 48.649
+ - type: ndcg_at_100
+ value: 54.041
+ - type: ndcg_at_1000
+ value: 56.233999999999995
+ - type: ndcg_at_3
+ value: 43.704
+ - type: ndcg_at_5
+ value: 46.172999999999995
+ - type: precision_at_1
+ value: 37.625
+ - type: precision_at_10
+ value: 9.371
+ - type: precision_at_100
+ value: 1.545
+ - type: precision_at_1000
+ value: 0.20400000000000001
+ - type: precision_at_3
+ value: 21.364
+ - type: precision_at_5
+ value: 15.421999999999999
+ - type: recall_at_1
+ value: 30.604
+ - type: recall_at_10
+ value: 60.94199999999999
+ - type: recall_at_100
+ value: 82.893
+ - type: recall_at_1000
+ value: 96.887
+ - type: recall_at_3
+ value: 46.346
+ - type: recall_at_5
+ value: 53.495000000000005
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackEnglishRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 29.959000000000003
+ - type: map_at_10
+ value: 40.217999999999996
+ - type: map_at_100
+ value: 41.337
+ - type: map_at_1000
+ value: 41.471999999999994
+ - type: map_at_3
+ value: 37.029
+ - type: map_at_5
+ value: 38.873000000000005
+ - type: mrr_at_1
+ value: 37.325
+ - type: mrr_at_10
+ value: 45.637
+ - type: mrr_at_100
+ value: 46.243
+ - type: mrr_at_1000
+ value: 46.297
+ - type: mrr_at_3
+ value: 43.323
+ - type: mrr_at_5
+ value: 44.734
+ - type: ndcg_at_1
+ value: 37.325
+ - type: ndcg_at_10
+ value: 45.864
+ - type: ndcg_at_100
+ value: 49.832
+ - type: ndcg_at_1000
+ value: 52.056000000000004
+ - type: ndcg_at_3
+ value: 41.329
+ - type: ndcg_at_5
+ value: 43.547000000000004
+ - type: precision_at_1
+ value: 37.325
+ - type: precision_at_10
+ value: 8.732
+ - type: precision_at_100
+ value: 1.369
+ - type: precision_at_1000
+ value: 0.185
+ - type: precision_at_3
+ value: 19.936
+ - type: precision_at_5
+ value: 14.306
+ - type: recall_at_1
+ value: 29.959000000000003
+ - type: recall_at_10
+ value: 56.113
+ - type: recall_at_100
+ value: 73.231
+ - type: recall_at_1000
+ value: 87.373
+ - type: recall_at_3
+ value: 42.88
+ - type: recall_at_5
+ value: 49.004
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackGamingRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 38.679
+ - type: map_at_10
+ value: 50.696
+ - type: map_at_100
+ value: 51.788000000000004
+ - type: map_at_1000
+ value: 51.849999999999994
+ - type: map_at_3
+ value: 47.414
+ - type: map_at_5
+ value: 49.284
+ - type: mrr_at_1
+ value: 44.263000000000005
+ - type: mrr_at_10
+ value: 54.03
+ - type: mrr_at_100
+ value: 54.752
+ - type: mrr_at_1000
+ value: 54.784
+ - type: mrr_at_3
+ value: 51.661
+ - type: mrr_at_5
+ value: 53.047
+ - type: ndcg_at_1
+ value: 44.263000000000005
+ - type: ndcg_at_10
+ value: 56.452999999999996
+ - type: ndcg_at_100
+ value: 60.736999999999995
+ - type: ndcg_at_1000
+ value: 61.982000000000006
+ - type: ndcg_at_3
+ value: 51.085
+ - type: ndcg_at_5
+ value: 53.715999999999994
+ - type: precision_at_1
+ value: 44.263000000000005
+ - type: precision_at_10
+ value: 9.129
+ - type: precision_at_100
+ value: 1.218
+ - type: precision_at_1000
+ value: 0.13699999999999998
+ - type: precision_at_3
+ value: 22.8
+ - type: precision_at_5
+ value: 15.674
+ - type: recall_at_1
+ value: 38.679
+ - type: recall_at_10
+ value: 70.1
+ - type: recall_at_100
+ value: 88.649
+ - type: recall_at_1000
+ value: 97.48
+ - type: recall_at_3
+ value: 55.757999999999996
+ - type: recall_at_5
+ value: 62.244
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackGisRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 25.796999999999997
+ - type: map_at_10
+ value: 34.011
+ - type: map_at_100
+ value: 35.103
+ - type: map_at_1000
+ value: 35.187000000000005
+ - type: map_at_3
+ value: 31.218
+ - type: map_at_5
+ value: 32.801
+ - type: mrr_at_1
+ value: 28.022999999999996
+ - type: mrr_at_10
+ value: 36.108000000000004
+ - type: mrr_at_100
+ value: 37.094
+ - type: mrr_at_1000
+ value: 37.158
+ - type: mrr_at_3
+ value: 33.635
+ - type: mrr_at_5
+ value: 35.081
+ - type: ndcg_at_1
+ value: 28.022999999999996
+ - type: ndcg_at_10
+ value: 38.887
+ - type: ndcg_at_100
+ value: 44.159
+ - type: ndcg_at_1000
+ value: 46.300000000000004
+ - type: ndcg_at_3
+ value: 33.623
+ - type: ndcg_at_5
+ value: 36.281
+ - type: precision_at_1
+ value: 28.022999999999996
+ - type: precision_at_10
+ value: 6.010999999999999
+ - type: precision_at_100
+ value: 0.901
+ - type: precision_at_1000
+ value: 0.11299999999999999
+ - type: precision_at_3
+ value: 14.124
+ - type: precision_at_5
+ value: 10.034
+ - type: recall_at_1
+ value: 25.796999999999997
+ - type: recall_at_10
+ value: 51.86300000000001
+ - type: recall_at_100
+ value: 75.995
+ - type: recall_at_1000
+ value: 91.93299999999999
+ - type: recall_at_3
+ value: 37.882
+ - type: recall_at_5
+ value: 44.34
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackMathematicaRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 15.468000000000002
+ - type: map_at_10
+ value: 24.026
+ - type: map_at_100
+ value: 25.237
+ - type: map_at_1000
+ value: 25.380000000000003
+ - type: map_at_3
+ value: 21.342
+ - type: map_at_5
+ value: 22.843
+ - type: mrr_at_1
+ value: 19.154
+ - type: mrr_at_10
+ value: 28.429
+ - type: mrr_at_100
+ value: 29.416999999999998
+ - type: mrr_at_1000
+ value: 29.491
+ - type: mrr_at_3
+ value: 25.746000000000002
+ - type: mrr_at_5
+ value: 27.282
+ - type: ndcg_at_1
+ value: 19.154
+ - type: ndcg_at_10
+ value: 29.512
+ - type: ndcg_at_100
+ value: 35.331
+ - type: ndcg_at_1000
+ value: 38.435
+ - type: ndcg_at_3
+ value: 24.566
+ - type: ndcg_at_5
+ value: 26.891
+ - type: precision_at_1
+ value: 19.154
+ - type: precision_at_10
+ value: 5.647
+ - type: precision_at_100
+ value: 0.984
+ - type: precision_at_1000
+ value: 0.13899999999999998
+ - type: precision_at_3
+ value: 12.065
+ - type: precision_at_5
+ value: 8.98
+ - type: recall_at_1
+ value: 15.468000000000002
+ - type: recall_at_10
+ value: 41.908
+ - type: recall_at_100
+ value: 67.17
+ - type: recall_at_1000
+ value: 89.05499999999999
+ - type: recall_at_3
+ value: 28.436
+ - type: recall_at_5
+ value: 34.278
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackPhysicsRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 28.116000000000003
+ - type: map_at_10
+ value: 39.034
+ - type: map_at_100
+ value: 40.461000000000006
+ - type: map_at_1000
+ value: 40.563
+ - type: map_at_3
+ value: 35.742000000000004
+ - type: map_at_5
+ value: 37.762
+ - type: mrr_at_1
+ value: 34.264
+ - type: mrr_at_10
+ value: 44.173
+ - type: mrr_at_100
+ value: 45.111000000000004
+ - type: mrr_at_1000
+ value: 45.149
+ - type: mrr_at_3
+ value: 41.626999999999995
+ - type: mrr_at_5
+ value: 43.234
+ - type: ndcg_at_1
+ value: 34.264
+ - type: ndcg_at_10
+ value: 45.011
+ - type: ndcg_at_100
+ value: 50.91
+ - type: ndcg_at_1000
+ value: 52.886
+ - type: ndcg_at_3
+ value: 39.757999999999996
+ - type: ndcg_at_5
+ value: 42.569
+ - type: precision_at_1
+ value: 34.264
+ - type: precision_at_10
+ value: 8.114
+ - type: precision_at_100
+ value: 1.2890000000000001
+ - type: precision_at_1000
+ value: 0.163
+ - type: precision_at_3
+ value: 18.864
+ - type: precision_at_5
+ value: 13.628000000000002
+ - type: recall_at_1
+ value: 28.116000000000003
+ - type: recall_at_10
+ value: 57.764
+ - type: recall_at_100
+ value: 82.393
+ - type: recall_at_1000
+ value: 95.345
+ - type: recall_at_3
+ value: 43.35
+ - type: recall_at_5
+ value: 50.368
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackProgrammersRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 23.557
+ - type: map_at_10
+ value: 33.94
+ - type: map_at_100
+ value: 35.382000000000005
+ - type: map_at_1000
+ value: 35.497
+ - type: map_at_3
+ value: 30.635
+ - type: map_at_5
+ value: 32.372
+ - type: mrr_at_1
+ value: 29.224
+ - type: mrr_at_10
+ value: 39.017
+ - type: mrr_at_100
+ value: 39.908
+ - type: mrr_at_1000
+ value: 39.96
+ - type: mrr_at_3
+ value: 36.225
+ - type: mrr_at_5
+ value: 37.869
+ - type: ndcg_at_1
+ value: 29.224
+ - type: ndcg_at_10
+ value: 40.097
+ - type: ndcg_at_100
+ value: 46.058
+ - type: ndcg_at_1000
+ value: 48.309999999999995
+ - type: ndcg_at_3
+ value: 34.551
+ - type: ndcg_at_5
+ value: 36.937
+ - type: precision_at_1
+ value: 29.224
+ - type: precision_at_10
+ value: 7.6259999999999994
+ - type: precision_at_100
+ value: 1.226
+ - type: precision_at_1000
+ value: 0.161
+ - type: precision_at_3
+ value: 16.781
+ - type: precision_at_5
+ value: 12.26
+ - type: recall_at_1
+ value: 23.557
+ - type: recall_at_10
+ value: 53.46300000000001
+ - type: recall_at_100
+ value: 78.797
+ - type: recall_at_1000
+ value: 93.743
+ - type: recall_at_3
+ value: 37.95
+ - type: recall_at_5
+ value: 44.121
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 24.81583333333333
+ - type: map_at_10
+ value: 34.057833333333335
+ - type: map_at_100
+ value: 35.29658333333334
+ - type: map_at_1000
+ value: 35.418666666666674
+ - type: map_at_3
+ value: 31.16416666666667
+ - type: map_at_5
+ value: 32.797
+ - type: mrr_at_1
+ value: 29.40216666666667
+ - type: mrr_at_10
+ value: 38.11191666666667
+ - type: mrr_at_100
+ value: 38.983250000000005
+ - type: mrr_at_1000
+ value: 39.043
+ - type: mrr_at_3
+ value: 35.663333333333334
+ - type: mrr_at_5
+ value: 37.08975
+ - type: ndcg_at_1
+ value: 29.40216666666667
+ - type: ndcg_at_10
+ value: 39.462416666666655
+ - type: ndcg_at_100
+ value: 44.74341666666666
+ - type: ndcg_at_1000
+ value: 47.12283333333333
+ - type: ndcg_at_3
+ value: 34.57383333333334
+ - type: ndcg_at_5
+ value: 36.91816666666667
+ - type: precision_at_1
+ value: 29.40216666666667
+ - type: precision_at_10
+ value: 7.008416666666667
+ - type: precision_at_100
+ value: 1.143333333333333
+ - type: precision_at_1000
+ value: 0.15391666666666665
+ - type: precision_at_3
+ value: 16.011083333333335
+ - type: precision_at_5
+ value: 11.506666666666664
+ - type: recall_at_1
+ value: 24.81583333333333
+ - type: recall_at_10
+ value: 51.39391666666666
+ - type: recall_at_100
+ value: 74.52983333333333
+ - type: recall_at_1000
+ value: 91.00650000000002
+ - type: recall_at_3
+ value: 37.87458333333334
+ - type: recall_at_5
+ value: 43.865833333333335
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackStatsRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 24.04
+ - type: map_at_10
+ value: 30.651
+ - type: map_at_100
+ value: 31.561
+ - type: map_at_1000
+ value: 31.667
+ - type: map_at_3
+ value: 28.358
+ - type: map_at_5
+ value: 29.644
+ - type: mrr_at_1
+ value: 26.840000000000003
+ - type: mrr_at_10
+ value: 33.397
+ - type: mrr_at_100
+ value: 34.166999999999994
+ - type: mrr_at_1000
+ value: 34.252
+ - type: mrr_at_3
+ value: 31.339
+ - type: mrr_at_5
+ value: 32.451
+ - type: ndcg_at_1
+ value: 26.840000000000003
+ - type: ndcg_at_10
+ value: 34.821999999999996
+ - type: ndcg_at_100
+ value: 39.155
+ - type: ndcg_at_1000
+ value: 41.837999999999994
+ - type: ndcg_at_3
+ value: 30.55
+ - type: ndcg_at_5
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+ - type: precision_at_1
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+ - type: precision_at_10
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+ - type: precision_at_100
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+ - type: precision_at_1000
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+ - type: precision_at_3
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+ - type: precision_at_5
+ value: 9.11
+ - type: recall_at_1
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+ - type: recall_at_10
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+ - type: recall_at_100
+ value: 64.519
+ - type: recall_at_1000
+ value: 84.397
+ - type: recall_at_3
+ value: 33.465
+ - type: recall_at_5
+ value: 38.504
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackTexRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 15.744
+ - type: map_at_10
+ value: 22.557
+ - type: map_at_100
+ value: 23.705000000000002
+ - type: map_at_1000
+ value: 23.833
+ - type: map_at_3
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+ - type: map_at_5
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+ - type: mrr_at_1
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+ - type: mrr_at_10
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+ - type: mrr_at_100
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+ - type: mrr_at_1000
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+ - type: mrr_at_3
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+ - type: mrr_at_5
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+ - type: ndcg_at_1
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+ - type: ndcg_at_10
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+ - type: ndcg_at_100
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+ - type: ndcg_at_1000
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+ - type: ndcg_at_3
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+ - type: ndcg_at_5
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+ - type: precision_at_1
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+ - type: precision_at_10
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+ - type: precision_at_100
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+ - type: precision_at_1000
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+ - type: precision_at_3
+ value: 10.908
+ - type: precision_at_5
+ value: 8.004
+ - type: recall_at_1
+ value: 15.744
+ - type: recall_at_10
+ value: 36.63
+ - type: recall_at_100
+ value: 61.58
+ - type: recall_at_1000
+ value: 83.648
+ - type: recall_at_3
+ value: 25.545
+ - type: recall_at_5
+ value: 30.392000000000003
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackUnixRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 24.944
+ - type: map_at_10
+ value: 33.611000000000004
+ - type: map_at_100
+ value: 34.737
+ - type: map_at_1000
+ value: 34.847
+ - type: map_at_3
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+ - type: map_at_5
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+ - type: mrr_at_1
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+ - type: mrr_at_10
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+ - type: mrr_at_100
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+ - type: mrr_at_1000
+ value: 38.59
+ - type: mrr_at_3
+ value: 35.292
+ - type: mrr_at_5
+ value: 36.519
+ - type: ndcg_at_1
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+ - type: ndcg_at_10
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+ - type: ndcg_at_100
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+ - type: ndcg_at_1000
+ value: 46.787
+ - type: ndcg_at_3
+ value: 33.794999999999995
+ - type: ndcg_at_5
+ value: 36.166
+ - type: precision_at_1
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+ - type: precision_at_10
+ value: 6.595
+ - type: precision_at_100
+ value: 1.055
+ - type: precision_at_1000
+ value: 0.13899999999999998
+ - type: precision_at_3
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+ - type: precision_at_5
+ value: 10.896
+ - type: recall_at_1
+ value: 24.944
+ - type: recall_at_10
+ value: 51.284
+ - type: recall_at_100
+ value: 75.197
+ - type: recall_at_1000
+ value: 92.10000000000001
+ - type: recall_at_3
+ value: 37.213
+ - type: recall_at_5
+ value: 43.129
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackWebmastersRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 21.979000000000003
+ - type: map_at_10
+ value: 31.349
+ - type: map_at_100
+ value: 32.969
+ - type: map_at_1000
+ value: 33.2
+ - type: map_at_3
+ value: 28.237000000000002
+ - type: map_at_5
+ value: 30.09
+ - type: mrr_at_1
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+ - type: mrr_at_10
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+ - type: mrr_at_100
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+ - type: mrr_at_1000
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+ - type: mrr_at_3
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+ - type: mrr_at_5
+ value: 34.868
+ - type: ndcg_at_1
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+ - type: ndcg_at_10
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+ - type: ndcg_at_100
+ value: 43.448
+ - type: ndcg_at_1000
+ value: 45.940999999999995
+ - type: ndcg_at_3
+ value: 32.263
+ - type: ndcg_at_5
+ value: 34.981
+ - type: precision_at_1
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+ - type: precision_at_10
+ value: 7.568999999999999
+ - type: precision_at_100
+ value: 1.5650000000000002
+ - type: precision_at_1000
+ value: 0.241
+ - type: precision_at_3
+ value: 15.547
+ - type: precision_at_5
+ value: 11.818
+ - type: recall_at_1
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+ - type: recall_at_10
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+ - type: recall_at_100
+ value: 76.51
+ - type: recall_at_1000
+ value: 92.168
+ - type: recall_at_3
+ value: 34.499
+ - type: recall_at_5
+ value: 41.443999999999996
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackWordpressRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 18.903
+ - type: map_at_10
+ value: 26.473999999999997
+ - type: map_at_100
+ value: 27.576
+ - type: map_at_1000
+ value: 27.677000000000003
+ - type: map_at_3
+ value: 24.244
+ - type: map_at_5
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+ - type: mrr_at_1
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+ - type: mrr_at_10
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+ - type: mrr_at_100
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+ - type: mrr_at_1000
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+ - type: mrr_at_3
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+ - type: mrr_at_5
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+ - type: ndcg_at_1
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+ - type: ndcg_at_10
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+ - type: ndcg_at_100
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+ - type: ndcg_at_1000
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+ - type: ndcg_at_3
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+ - type: ndcg_at_5
+ value: 28.253
+ - type: precision_at_1
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+ - type: precision_at_10
+ value: 4.972
+ - type: precision_at_100
+ value: 0.823
+ - type: precision_at_1000
+ value: 0.117
+ - type: precision_at_3
+ value: 11.522
+ - type: precision_at_5
+ value: 7.9479999999999995
+ - type: recall_at_1
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+ - type: recall_at_10
+ value: 43.004
+ - type: recall_at_100
+ value: 67.42399999999999
+ - type: recall_at_1000
+ value: 87.949
+ - type: recall_at_3
+ value: 31.171
+ - type: recall_at_5
+ value: 35.071000000000005
+ - task:
+ type: Retrieval
+ dataset:
+ type: climate-fever
+ name: MTEB ClimateFEVER
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 12.942
+ - type: map_at_10
+ value: 22.017999999999997
+ - type: map_at_100
+ value: 23.968
+ - type: map_at_1000
+ value: 24.169
+ - type: map_at_3
+ value: 18.282
+ - type: map_at_5
+ value: 20.191
+ - type: mrr_at_1
+ value: 29.121000000000002
+ - type: mrr_at_10
+ value: 40.897
+ - type: mrr_at_100
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+ - type: mrr_at_1000
+ value: 41.819
+ - type: mrr_at_3
+ value: 37.535000000000004
+ - type: mrr_at_5
+ value: 39.626
+ - type: ndcg_at_1
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+ - type: ndcg_at_10
+ value: 30.728
+ - type: ndcg_at_100
+ value: 38.231
+ - type: ndcg_at_1000
+ value: 41.735
+ - type: ndcg_at_3
+ value: 25.141000000000002
+ - type: ndcg_at_5
+ value: 27.093
+ - type: precision_at_1
+ value: 29.121000000000002
+ - type: precision_at_10
+ value: 9.674000000000001
+ - type: precision_at_100
+ value: 1.775
+ - type: precision_at_1000
+ value: 0.243
+ - type: precision_at_3
+ value: 18.826999999999998
+ - type: precision_at_5
+ value: 14.515
+ - type: recall_at_1
+ value: 12.942
+ - type: recall_at_10
+ value: 36.692
+ - type: recall_at_100
+ value: 62.688
+ - type: recall_at_1000
+ value: 82.203
+ - type: recall_at_3
+ value: 22.820999999999998
+ - type: recall_at_5
+ value: 28.625
+ - task:
+ type: Retrieval
+ dataset:
+ type: dbpedia-entity
+ name: MTEB DBPedia
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 8.6
+ - type: map_at_10
+ value: 18.672
+ - type: map_at_100
+ value: 27.199
+ - type: map_at_1000
+ value: 29.032999999999998
+ - type: map_at_3
+ value: 13.045000000000002
+ - type: map_at_5
+ value: 15.271
+ - type: mrr_at_1
+ value: 69.0
+ - type: mrr_at_10
+ value: 75.304
+ - type: mrr_at_100
+ value: 75.68
+ - type: mrr_at_1000
+ value: 75.688
+ - type: mrr_at_3
+ value: 73.708
+ - type: mrr_at_5
+ value: 74.333
+ - type: ndcg_at_1
+ value: 56.25
+ - type: ndcg_at_10
+ value: 40.741
+ - type: ndcg_at_100
+ value: 45.933
+ - type: ndcg_at_1000
+ value: 53.764
+ - type: ndcg_at_3
+ value: 44.664
+ - type: ndcg_at_5
+ value: 42.104
+ - type: precision_at_1
+ value: 69.0
+ - type: precision_at_10
+ value: 33.0
+ - type: precision_at_100
+ value: 10.75
+ - type: precision_at_1000
+ value: 2.1999999999999997
+ - type: precision_at_3
+ value: 48.167
+ - type: precision_at_5
+ value: 41.099999999999994
+ - type: recall_at_1
+ value: 8.6
+ - type: recall_at_10
+ value: 24.447
+ - type: recall_at_100
+ value: 52.697
+ - type: recall_at_1000
+ value: 77.717
+ - type: recall_at_3
+ value: 14.13
+ - type: recall_at_5
+ value: 17.485999999999997
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/emotion
+ name: MTEB EmotionClassification
+ config: default
+ split: test
+ revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+ metrics:
+ - type: accuracy
+ value: 49.32
+ - type: f1
+ value: 43.92815810776849
+ - task:
+ type: Retrieval
+ dataset:
+ type: fever
+ name: MTEB FEVER
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 68.987
+ - type: map_at_10
+ value: 78.025
+ - type: map_at_100
+ value: 78.28500000000001
+ - type: map_at_1000
+ value: 78.3
+ - type: map_at_3
+ value: 76.735
+ - type: map_at_5
+ value: 77.558
+ - type: mrr_at_1
+ value: 74.482
+ - type: mrr_at_10
+ value: 82.673
+ - type: mrr_at_100
+ value: 82.799
+ - type: mrr_at_1000
+ value: 82.804
+ - type: mrr_at_3
+ value: 81.661
+ - type: mrr_at_5
+ value: 82.369
+ - type: ndcg_at_1
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+ - type: ndcg_at_10
+ value: 82.238
+ - type: ndcg_at_100
+ value: 83.245
+ - type: ndcg_at_1000
+ value: 83.557
+ - type: ndcg_at_3
+ value: 80.066
+ - type: ndcg_at_5
+ value: 81.316
+ - type: precision_at_1
+ value: 74.482
+ - type: precision_at_10
+ value: 10.006
+ - type: precision_at_100
+ value: 1.0699999999999998
+ - type: precision_at_1000
+ value: 0.11100000000000002
+ - type: precision_at_3
+ value: 30.808000000000003
+ - type: precision_at_5
+ value: 19.256
+ - type: recall_at_1
+ value: 68.987
+ - type: recall_at_10
+ value: 90.646
+ - type: recall_at_100
+ value: 94.85900000000001
+ - type: recall_at_1000
+ value: 96.979
+ - type: recall_at_3
+ value: 84.76599999999999
+ - type: recall_at_5
+ value: 87.929
+ - task:
+ type: Retrieval
+ dataset:
+ type: fiqa
+ name: MTEB FiQA2018
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 20.3
+ - type: map_at_10
+ value: 33.499
+ - type: map_at_100
+ value: 35.510000000000005
+ - type: map_at_1000
+ value: 35.693999999999996
+ - type: map_at_3
+ value: 29.083
+ - type: map_at_5
+ value: 31.367
+ - type: mrr_at_1
+ value: 39.660000000000004
+ - type: mrr_at_10
+ value: 49.517
+ - type: mrr_at_100
+ value: 50.18899999999999
+ - type: mrr_at_1000
+ value: 50.224000000000004
+ - type: mrr_at_3
+ value: 46.965
+ - type: mrr_at_5
+ value: 48.184
+ - type: ndcg_at_1
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+ - type: ndcg_at_10
+ value: 41.75
+ - type: ndcg_at_100
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+ - type: ndcg_at_1000
+ value: 51.373999999999995
+ - type: ndcg_at_3
+ value: 37.532
+ - type: ndcg_at_5
+ value: 38.564
+ - type: precision_at_1
+ value: 39.660000000000004
+ - type: precision_at_10
+ value: 11.774999999999999
+ - type: precision_at_100
+ value: 1.883
+ - type: precision_at_1000
+ value: 0.23900000000000002
+ - type: precision_at_3
+ value: 25.102999999999998
+ - type: precision_at_5
+ value: 18.395
+ - type: recall_at_1
+ value: 20.3
+ - type: recall_at_10
+ value: 49.633
+ - type: recall_at_100
+ value: 73.932
+ - type: recall_at_1000
+ value: 91.174
+ - type: recall_at_3
+ value: 34.516999999999996
+ - type: recall_at_5
+ value: 40.217000000000006
+ - task:
+ type: Retrieval
+ dataset:
+ type: hotpotqa
+ name: MTEB HotpotQA
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 34.699999999999996
+ - type: map_at_10
+ value: 54.400000000000006
+ - type: map_at_100
+ value: 55.45
+ - type: map_at_1000
+ value: 55.525999999999996
+ - type: map_at_3
+ value: 50.99
+ - type: map_at_5
+ value: 53.054
+ - type: mrr_at_1
+ value: 69.399
+ - type: mrr_at_10
+ value: 76.454
+ - type: mrr_at_100
+ value: 76.771
+ - type: mrr_at_1000
+ value: 76.783
+ - type: mrr_at_3
+ value: 75.179
+ - type: mrr_at_5
+ value: 75.978
+ - type: ndcg_at_1
+ value: 69.399
+ - type: ndcg_at_10
+ value: 63.001
+ - type: ndcg_at_100
+ value: 66.842
+ - type: ndcg_at_1000
+ value: 68.33500000000001
+ - type: ndcg_at_3
+ value: 57.961
+ - type: ndcg_at_5
+ value: 60.67700000000001
+ - type: precision_at_1
+ value: 69.399
+ - type: precision_at_10
+ value: 13.4
+ - type: precision_at_100
+ value: 1.6420000000000001
+ - type: precision_at_1000
+ value: 0.184
+ - type: precision_at_3
+ value: 37.218
+ - type: precision_at_5
+ value: 24.478
+ - type: recall_at_1
+ value: 34.699999999999996
+ - type: recall_at_10
+ value: 67.002
+ - type: recall_at_100
+ value: 82.113
+ - type: recall_at_1000
+ value: 91.945
+ - type: recall_at_3
+ value: 55.827000000000005
+ - type: recall_at_5
+ value: 61.195
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/imdb
+ name: MTEB ImdbClassification
+ config: default
+ split: test
+ revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+ metrics:
+ - type: accuracy
+ value: 90.40480000000001
+ - type: ap
+ value: 86.34472513785936
+ - type: f1
+ value: 90.3766943422773
+ - task:
+ type: Retrieval
+ dataset:
+ type: msmarco
+ name: MTEB MSMARCO
+ config: default
+ split: dev
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 19.796
+ - type: map_at_10
+ value: 31.344
+ - type: map_at_100
+ value: 32.525999999999996
+ - type: map_at_1000
+ value: 32.582
+ - type: map_at_3
+ value: 27.514
+ - type: map_at_5
+ value: 29.683
+ - type: mrr_at_1
+ value: 20.358
+ - type: mrr_at_10
+ value: 31.924999999999997
+ - type: mrr_at_100
+ value: 33.056000000000004
+ - type: mrr_at_1000
+ value: 33.105000000000004
+ - type: mrr_at_3
+ value: 28.149
+ - type: mrr_at_5
+ value: 30.303
+ - type: ndcg_at_1
+ value: 20.372
+ - type: ndcg_at_10
+ value: 38.025999999999996
+ - type: ndcg_at_100
+ value: 43.813
+ - type: ndcg_at_1000
+ value: 45.21
+ - type: ndcg_at_3
+ value: 30.218
+ - type: ndcg_at_5
+ value: 34.088
+ - type: precision_at_1
+ value: 20.372
+ - type: precision_at_10
+ value: 6.123
+ - type: precision_at_100
+ value: 0.903
+ - type: precision_at_1000
+ value: 0.10200000000000001
+ - type: precision_at_3
+ value: 12.918
+ - type: precision_at_5
+ value: 9.702
+ - type: recall_at_1
+ value: 19.796
+ - type: recall_at_10
+ value: 58.644
+ - type: recall_at_100
+ value: 85.611
+ - type: recall_at_1000
+ value: 96.314
+ - type: recall_at_3
+ value: 37.419999999999995
+ - type: recall_at_5
+ value: 46.697
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/mtop_domain
+ name: MTEB MTOPDomainClassification (en)
+ config: en
+ split: test
+ revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+ metrics:
+ - type: accuracy
+ value: 93.0984952120383
+ - type: f1
+ value: 92.9409029889071
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/mtop_intent
+ name: MTEB MTOPIntentClassification (en)
+ config: en
+ split: test
+ revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+ metrics:
+ - type: accuracy
+ value: 73.24441404468764
+ - type: f1
+ value: 54.66568676132254
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_massive_intent
+ name: MTEB MassiveIntentClassification (en)
+ config: en
+ split: test
+ revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+ metrics:
+ - type: accuracy
+ value: 73.86684599865501
+ - type: f1
+ value: 72.16086061041996
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_massive_scenario
+ name: MTEB MassiveScenarioClassification (en)
+ config: en
+ split: test
+ revision: 7d571f92784cd94a019292a1f45445077d0ef634
+ metrics:
+ - type: accuracy
+ value: 78.16745124411568
+ - type: f1
+ value: 78.76361933295068
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/medrxiv-clustering-p2p
+ name: MTEB MedrxivClusteringP2P
+ config: default
+ split: test
+ revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+ metrics:
+ - type: v_measure
+ value: 33.66329421728342
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/medrxiv-clustering-s2s
+ name: MTEB MedrxivClusteringS2S
+ config: default
+ split: test
+ revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+ metrics:
+ - type: v_measure
+ value: 32.21637418682758
+ - task:
+ type: Reranking
+ dataset:
+ type: mteb/mind_small
+ name: MTEB MindSmallReranking
+ config: default
+ split: test
+ revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+ metrics:
+ - type: map
+ value: 31.85308363141191
+ - type: mrr
+ value: 33.06713899953772
+ - task:
+ type: Retrieval
+ dataset:
+ type: nfcorpus
+ name: MTEB NFCorpus
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 6.392
+ - type: map_at_10
+ value: 14.539
+ - type: map_at_100
+ value: 18.811
+ - type: map_at_1000
+ value: 20.471
+ - type: map_at_3
+ value: 10.26
+ - type: map_at_5
+ value: 12.224
+ - type: mrr_at_1
+ value: 46.749
+ - type: mrr_at_10
+ value: 55.72200000000001
+ - type: mrr_at_100
+ value: 56.325
+ - type: mrr_at_1000
+ value: 56.35
+ - type: mrr_at_3
+ value: 53.30200000000001
+ - type: mrr_at_5
+ value: 54.742000000000004
+ - type: ndcg_at_1
+ value: 44.891999999999996
+ - type: ndcg_at_10
+ value: 37.355
+ - type: ndcg_at_100
+ value: 35.285
+ - type: ndcg_at_1000
+ value: 44.246
+ - type: ndcg_at_3
+ value: 41.291
+ - type: ndcg_at_5
+ value: 39.952
+ - type: precision_at_1
+ value: 46.749
+ - type: precision_at_10
+ value: 28.111000000000004
+ - type: precision_at_100
+ value: 9.127
+ - type: precision_at_1000
+ value: 2.23
+ - type: precision_at_3
+ value: 38.803
+ - type: precision_at_5
+ value: 35.046
+ - type: recall_at_1
+ value: 6.392
+ - type: recall_at_10
+ value: 19.066
+ - type: recall_at_100
+ value: 37.105
+ - type: recall_at_1000
+ value: 69.37299999999999
+ - type: recall_at_3
+ value: 11.213
+ - type: recall_at_5
+ value: 14.648
+ - task:
+ type: Retrieval
+ dataset:
+ type: nq
+ name: MTEB NQ
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 31.387999999999998
+ - type: map_at_10
+ value: 47.172
+ - type: map_at_100
+ value: 48.158
+ - type: map_at_1000
+ value: 48.186
+ - type: map_at_3
+ value: 42.952
+ - type: map_at_5
+ value: 45.405
+ - type: mrr_at_1
+ value: 35.458
+ - type: mrr_at_10
+ value: 49.583
+ - type: mrr_at_100
+ value: 50.324999999999996
+ - type: mrr_at_1000
+ value: 50.344
+ - type: mrr_at_3
+ value: 46.195
+ - type: mrr_at_5
+ value: 48.258
+ - type: ndcg_at_1
+ value: 35.458
+ - type: ndcg_at_10
+ value: 54.839000000000006
+ - type: ndcg_at_100
+ value: 58.974000000000004
+ - type: ndcg_at_1000
+ value: 59.64699999999999
+ - type: ndcg_at_3
+ value: 47.012
+ - type: ndcg_at_5
+ value: 51.080999999999996
+ - type: precision_at_1
+ value: 35.458
+ - type: precision_at_10
+ value: 9.056000000000001
+ - type: precision_at_100
+ value: 1.137
+ - type: precision_at_1000
+ value: 0.12
+ - type: precision_at_3
+ value: 21.582
+ - type: precision_at_5
+ value: 15.295
+ - type: recall_at_1
+ value: 31.387999999999998
+ - type: recall_at_10
+ value: 75.661
+ - type: recall_at_100
+ value: 93.605
+ - type: recall_at_1000
+ value: 98.658
+ - type: recall_at_3
+ value: 55.492
+ - type: recall_at_5
+ value: 64.85600000000001
+ - task:
+ type: Retrieval
+ dataset:
+ type: quora
+ name: MTEB QuoraRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 70.547
+ - type: map_at_10
+ value: 84.495
+ - type: map_at_100
+ value: 85.14
+ - type: map_at_1000
+ value: 85.15599999999999
+ - type: map_at_3
+ value: 81.606
+ - type: map_at_5
+ value: 83.449
+ - type: mrr_at_1
+ value: 81.22
+ - type: mrr_at_10
+ value: 87.31
+ - type: mrr_at_100
+ value: 87.436
+ - type: mrr_at_1000
+ value: 87.437
+ - type: mrr_at_3
+ value: 86.363
+ - type: mrr_at_5
+ value: 87.06
+ - type: ndcg_at_1
+ value: 81.24
+ - type: ndcg_at_10
+ value: 88.145
+ - type: ndcg_at_100
+ value: 89.423
+ - type: ndcg_at_1000
+ value: 89.52799999999999
+ - type: ndcg_at_3
+ value: 85.435
+ - type: ndcg_at_5
+ value: 87.0
+ - type: precision_at_1
+ value: 81.24
+ - type: precision_at_10
+ value: 13.381000000000002
+ - type: precision_at_100
+ value: 1.529
+ - type: precision_at_1000
+ value: 0.157
+ - type: precision_at_3
+ value: 37.44
+ - type: precision_at_5
+ value: 24.62
+ - type: recall_at_1
+ value: 70.547
+ - type: recall_at_10
+ value: 95.083
+ - type: recall_at_100
+ value: 99.50099999999999
+ - type: recall_at_1000
+ value: 99.982
+ - type: recall_at_3
+ value: 87.235
+ - type: recall_at_5
+ value: 91.701
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/reddit-clustering
+ name: MTEB RedditClustering
+ config: default
+ split: test
+ revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+ metrics:
+ - type: v_measure
+ value: 57.93101384071724
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/reddit-clustering-p2p
+ name: MTEB RedditClusteringP2P
+ config: default
+ split: test
+ revision: 282350215ef01743dc01b456c7f5241fa8937f16
+ metrics:
+ - type: v_measure
+ value: 62.46951126228829
+ - task:
+ type: Retrieval
+ dataset:
+ type: scidocs
+ name: MTEB SCIDOCS
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 5.018000000000001
+ - type: map_at_10
+ value: 13.818
+ - type: map_at_100
+ value: 16.346
+ - type: map_at_1000
+ value: 16.744999999999997
+ - type: map_at_3
+ value: 9.456000000000001
+ - type: map_at_5
+ value: 11.879000000000001
+ - type: mrr_at_1
+ value: 24.8
+ - type: mrr_at_10
+ value: 37.092000000000006
+ - type: mrr_at_100
+ value: 38.199
+ - type: mrr_at_1000
+ value: 38.243
+ - type: mrr_at_3
+ value: 33.517
+ - type: mrr_at_5
+ value: 35.692
+ - type: ndcg_at_1
+ value: 24.8
+ - type: ndcg_at_10
+ value: 22.782
+ - type: ndcg_at_100
+ value: 32.072
+ - type: ndcg_at_1000
+ value: 38.163000000000004
+ - type: ndcg_at_3
+ value: 21.046
+ - type: ndcg_at_5
+ value: 19.134
+ - type: precision_at_1
+ value: 24.8
+ - type: precision_at_10
+ value: 12.0
+ - type: precision_at_100
+ value: 2.5420000000000003
+ - type: precision_at_1000
+ value: 0.39899999999999997
+ - type: precision_at_3
+ value: 20.0
+ - type: precision_at_5
+ value: 17.4
+ - type: recall_at_1
+ value: 5.018000000000001
+ - type: recall_at_10
+ value: 24.34
+ - type: recall_at_100
+ value: 51.613
+ - type: recall_at_1000
+ value: 80.95
+ - type: recall_at_3
+ value: 12.153
+ - type: recall_at_5
+ value: 17.648
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sickr-sts
+ name: MTEB SICK-R
+ config: default
+ split: test
+ revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+ metrics:
+ - type: cos_sim_pearson
+ value: 86.28259142800503
+ - type: cos_sim_spearman
+ value: 82.04792579356291
+ - type: euclidean_pearson
+ value: 83.7755858026306
+ - type: euclidean_spearman
+ value: 82.04789872846196
+ - type: manhattan_pearson
+ value: 83.79937122515567
+ - type: manhattan_spearman
+ value: 82.05076966288574
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts12-sts
+ name: MTEB STS12
+ config: default
+ split: test
+ revision: a0d554a64d88156834ff5ae9920b964011b16384
+ metrics:
+ - type: cos_sim_pearson
+ value: 87.37773414195387
+ - type: cos_sim_spearman
+ value: 78.76929696642694
+ - type: euclidean_pearson
+ value: 85.75861298616339
+ - type: euclidean_spearman
+ value: 78.76607739031363
+ - type: manhattan_pearson
+ value: 85.74412868736295
+ - type: manhattan_spearman
+ value: 78.74388526796852
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts13-sts
+ name: MTEB STS13
+ config: default
+ split: test
+ revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+ metrics:
+ - type: cos_sim_pearson
+ value: 89.6176449076649
+ - type: cos_sim_spearman
+ value: 90.39810997063387
+ - type: euclidean_pearson
+ value: 89.753863994154
+ - type: euclidean_spearman
+ value: 90.39810989027997
+ - type: manhattan_pearson
+ value: 89.67750819879801
+ - type: manhattan_spearman
+ value: 90.3286558059104
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts14-sts
+ name: MTEB STS14
+ config: default
+ split: test
+ revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+ metrics:
+ - type: cos_sim_pearson
+ value: 87.7488246203373
+ - type: cos_sim_spearman
+ value: 85.44794976383963
+ - type: euclidean_pearson
+ value: 87.33205836313964
+ - type: euclidean_spearman
+ value: 85.44793954377185
+ - type: manhattan_pearson
+ value: 87.30760291906203
+ - type: manhattan_spearman
+ value: 85.4308413187653
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts15-sts
+ name: MTEB STS15
+ config: default
+ split: test
+ revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+ metrics:
+ - type: cos_sim_pearson
+ value: 88.6937750952719
+ - type: cos_sim_spearman
+ value: 90.01162604967037
+ - type: euclidean_pearson
+ value: 89.35321306629116
+ - type: euclidean_spearman
+ value: 90.01161406477627
+ - type: manhattan_pearson
+ value: 89.31351907042307
+ - type: manhattan_spearman
+ value: 89.97264644642166
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts16-sts
+ name: MTEB STS16
+ config: default
+ split: test
+ revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+ metrics:
+ - type: cos_sim_pearson
+ value: 85.49107564294891
+ - type: cos_sim_spearman
+ value: 87.42092493144571
+ - type: euclidean_pearson
+ value: 86.88112016705634
+ - type: euclidean_spearman
+ value: 87.42092430260175
+ - type: manhattan_pearson
+ value: 86.85846210123235
+ - type: manhattan_spearman
+ value: 87.40059575522972
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts17-crosslingual-sts
+ name: MTEB STS17 (en-en)
+ config: en-en
+ split: test
+ revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+ metrics:
+ - type: cos_sim_pearson
+ value: 88.71766466521638
+ - type: cos_sim_spearman
+ value: 88.80244555668372
+ - type: euclidean_pearson
+ value: 89.59428700746064
+ - type: euclidean_spearman
+ value: 88.80244555668372
+ - type: manhattan_pearson
+ value: 89.62272396580352
+ - type: manhattan_spearman
+ value: 88.77584531534937
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts22-crosslingual-sts
+ name: MTEB STS22 (en)
+ config: en
+ split: test
+ revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+ metrics:
+ - type: cos_sim_pearson
+ value: 67.7743776239708
+ - type: cos_sim_spearman
+ value: 68.79768249749681
+ - type: euclidean_pearson
+ value: 70.16430919697441
+ - type: euclidean_spearman
+ value: 68.79768249749681
+ - type: manhattan_pearson
+ value: 70.17205038967042
+ - type: manhattan_spearman
+ value: 68.89740094589914
+ - task:
+ type: STS
+ dataset:
+ type: mteb/stsbenchmark-sts
+ name: MTEB STSBenchmark
+ config: default
+ split: test
+ revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+ metrics:
+ - type: cos_sim_pearson
+ value: 86.9087137484716
+ - type: cos_sim_spearman
+ value: 89.19783009521629
+ - type: euclidean_pearson
+ value: 88.89888500166009
+ - type: euclidean_spearman
+ value: 89.19783009521629
+ - type: manhattan_pearson
+ value: 88.88400033783687
+ - type: manhattan_spearman
+ value: 89.16299162200889
+ - task:
+ type: Reranking
+ dataset:
+ type: mteb/scidocs-reranking
+ name: MTEB SciDocsRR
+ config: default
+ split: test
+ revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+ metrics:
+ - type: map
+ value: 86.9799916253683
+ - type: mrr
+ value: 96.0708200659181
+ - task:
+ type: Retrieval
+ dataset:
+ type: scifact
+ name: MTEB SciFact
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 59.928000000000004
+ - type: map_at_10
+ value: 69.56400000000001
+ - type: map_at_100
+ value: 70.125
+ - type: map_at_1000
+ value: 70.148
+ - type: map_at_3
+ value: 66.774
+ - type: map_at_5
+ value: 68.267
+ - type: mrr_at_1
+ value: 62.666999999999994
+ - type: mrr_at_10
+ value: 70.448
+ - type: mrr_at_100
+ value: 70.94
+ - type: mrr_at_1000
+ value: 70.962
+ - type: mrr_at_3
+ value: 68.389
+ - type: mrr_at_5
+ value: 69.65599999999999
+ - type: ndcg_at_1
+ value: 62.666999999999994
+ - type: ndcg_at_10
+ value: 74.117
+ - type: ndcg_at_100
+ value: 76.248
+ - type: ndcg_at_1000
+ value: 76.768
+ - type: ndcg_at_3
+ value: 69.358
+ - type: ndcg_at_5
+ value: 71.574
+ - type: precision_at_1
+ value: 62.666999999999994
+ - type: precision_at_10
+ value: 9.933
+ - type: precision_at_100
+ value: 1.09
+ - type: precision_at_1000
+ value: 0.11299999999999999
+ - type: precision_at_3
+ value: 27.222
+ - type: precision_at_5
+ value: 17.867
+ - type: recall_at_1
+ value: 59.928000000000004
+ - type: recall_at_10
+ value: 87.156
+ - type: recall_at_100
+ value: 96.167
+ - type: recall_at_1000
+ value: 100.0
+ - type: recall_at_3
+ value: 74.117
+ - type: recall_at_5
+ value: 79.80000000000001
+ - task:
+ type: PairClassification
+ dataset:
+ type: mteb/sprintduplicatequestions-pairclassification
+ name: MTEB SprintDuplicateQuestions
+ config: default
+ split: test
+ revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+ metrics:
+ - type: cos_sim_accuracy
+ value: 99.83762376237624
+ - type: cos_sim_ap
+ value: 96.05077689253707
+ - type: cos_sim_f1
+ value: 91.75879396984925
+ - type: cos_sim_precision
+ value: 92.22222222222223
+ - type: cos_sim_recall
+ value: 91.3
+ - type: dot_accuracy
+ value: 99.83762376237624
+ - type: dot_ap
+ value: 96.05082513542375
+ - type: dot_f1
+ value: 91.75879396984925
+ - type: dot_precision
+ value: 92.22222222222223
+ - type: dot_recall
+ value: 91.3
+ - type: euclidean_accuracy
+ value: 99.83762376237624
+ - type: euclidean_ap
+ value: 96.05077689253707
+ - type: euclidean_f1
+ value: 91.75879396984925
+ - type: euclidean_precision
+ value: 92.22222222222223
+ - type: euclidean_recall
+ value: 91.3
+ - type: manhattan_accuracy
+ value: 99.83861386138614
+ - type: manhattan_ap
+ value: 96.07646831090695
+ - type: manhattan_f1
+ value: 91.86220668996505
+ - type: manhattan_precision
+ value: 91.72482552342971
+ - type: manhattan_recall
+ value: 92.0
+ - type: max_accuracy
+ value: 99.83861386138614
+ - type: max_ap
+ value: 96.07646831090695
+ - type: max_f1
+ value: 91.86220668996505
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/stackexchange-clustering
+ name: MTEB StackExchangeClustering
+ config: default
+ split: test
+ revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+ metrics:
+ - type: v_measure
+ value: 66.40672513062134
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/stackexchange-clustering-p2p
+ name: MTEB StackExchangeClusteringP2P
+ config: default
+ split: test
+ revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+ metrics:
+ - type: v_measure
+ value: 35.31519237029376
+ - task:
+ type: Reranking
+ dataset:
+ type: mteb/stackoverflowdupquestions-reranking
+ name: MTEB StackOverflowDupQuestions
+ config: default
+ split: test
+ revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+ metrics:
+ - type: map
+ value: 53.15764586446943
+ - type: mrr
+ value: 53.981596426449364
+ - task:
+ type: Summarization
+ dataset:
+ type: mteb/summeval
+ name: MTEB SummEval
+ config: default
+ split: test
+ revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+ metrics:
+ - type: cos_sim_pearson
+ value: 30.92935724124931
+ - type: cos_sim_spearman
+ value: 31.54589922149803
+ - type: dot_pearson
+ value: 30.929365687857675
+ - type: dot_spearman
+ value: 31.54589922149803
+ - task:
+ type: Retrieval
+ dataset:
+ type: trec-covid
+ name: MTEB TRECCOVID
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 0.22100000000000003
+ - type: map_at_10
+ value: 1.791
+ - type: map_at_100
+ value: 9.404
+ - type: map_at_1000
+ value: 22.932
+ - type: map_at_3
+ value: 0.601
+ - type: map_at_5
+ value: 1.001
+ - type: mrr_at_1
+ value: 76.0
+ - type: mrr_at_10
+ value: 85.667
+ - type: mrr_at_100
+ value: 85.667
+ - type: mrr_at_1000
+ value: 85.667
+ - type: mrr_at_3
+ value: 84.667
+ - type: mrr_at_5
+ value: 85.667
+ - type: ndcg_at_1
+ value: 72.0
+ - type: ndcg_at_10
+ value: 68.637
+ - type: ndcg_at_100
+ value: 51.418
+ - type: ndcg_at_1000
+ value: 47.75
+ - type: ndcg_at_3
+ value: 70.765
+ - type: ndcg_at_5
+ value: 71.808
+ - type: precision_at_1
+ value: 76.0
+ - type: precision_at_10
+ value: 73.8
+ - type: precision_at_100
+ value: 52.68000000000001
+ - type: precision_at_1000
+ value: 20.9
+ - type: precision_at_3
+ value: 74.667
+ - type: precision_at_5
+ value: 78.0
+ - type: recall_at_1
+ value: 0.22100000000000003
+ - type: recall_at_10
+ value: 2.027
+ - type: recall_at_100
+ value: 12.831000000000001
+ - type: recall_at_1000
+ value: 44.996
+ - type: recall_at_3
+ value: 0.635
+ - type: recall_at_5
+ value: 1.097
+ - task:
+ type: Retrieval
+ dataset:
+ type: webis-touche2020
+ name: MTEB Touche2020
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 2.289
+ - type: map_at_10
+ value: 10.475
+ - type: map_at_100
+ value: 16.993
+ - type: map_at_1000
+ value: 18.598
+ - type: map_at_3
+ value: 5.891
+ - type: map_at_5
+ value: 7.678999999999999
+ - type: mrr_at_1
+ value: 32.653
+ - type: mrr_at_10
+ value: 49.475
+ - type: mrr_at_100
+ value: 50.483
+ - type: mrr_at_1000
+ value: 50.499
+ - type: mrr_at_3
+ value: 45.918
+ - type: mrr_at_5
+ value: 48.469
+ - type: ndcg_at_1
+ value: 29.592000000000002
+ - type: ndcg_at_10
+ value: 25.891
+ - type: ndcg_at_100
+ value: 38.106
+ - type: ndcg_at_1000
+ value: 49.873
+ - type: ndcg_at_3
+ value: 29.915999999999997
+ - type: ndcg_at_5
+ value: 27.982000000000003
+ - type: precision_at_1
+ value: 32.653
+ - type: precision_at_10
+ value: 22.448999999999998
+ - type: precision_at_100
+ value: 7.837
+ - type: precision_at_1000
+ value: 1.5730000000000002
+ - type: precision_at_3
+ value: 31.293
+ - type: precision_at_5
+ value: 27.755000000000003
+ - type: recall_at_1
+ value: 2.289
+ - type: recall_at_10
+ value: 16.594
+ - type: recall_at_100
+ value: 48.619
+ - type: recall_at_1000
+ value: 85.467
+ - type: recall_at_3
+ value: 7.144
+ - type: recall_at_5
+ value: 10.465
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/toxic_conversations_50k
+ name: MTEB ToxicConversationsClassification
+ config: default
+ split: test
+ revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+ metrics:
+ - type: accuracy
+ value: 71.5268
+ - type: ap
+ value: 14.763212211567907
+ - type: f1
+ value: 55.200562727472736
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/tweet_sentiment_extraction
+ name: MTEB TweetSentimentExtractionClassification
+ config: default
+ split: test
+ revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+ metrics:
+ - type: accuracy
+ value: 59.25297113752123
+ - type: f1
+ value: 59.55315247947331
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/twentynewsgroups-clustering
+ name: MTEB TwentyNewsgroupsClustering
+ config: default
+ split: test
+ revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+ metrics:
+ - type: v_measure
+ value: 51.47685515092062
+ - task:
+ type: PairClassification
+ dataset:
+ type: mteb/twittersemeval2015-pairclassification
+ name: MTEB TwitterSemEval2015
+ config: default
+ split: test
+ revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+ metrics:
+ - type: cos_sim_accuracy
+ value: 86.73183525064076
+ - type: cos_sim_ap
+ value: 76.08498196190112
+ - type: cos_sim_f1
+ value: 69.4834471209584
+ - type: cos_sim_precision
+ value: 67.88321167883211
+ - type: cos_sim_recall
+ value: 71.16094986807387
+ - type: dot_accuracy
+ value: 86.73183525064076
+ - type: dot_ap
+ value: 76.08503499590553
+ - type: dot_f1
+ value: 69.4834471209584
+ - type: dot_precision
+ value: 67.88321167883211
+ - type: dot_recall
+ value: 71.16094986807387
+ - type: euclidean_accuracy
+ value: 86.73183525064076
+ - type: euclidean_ap
+ value: 76.08500172594562
+ - type: euclidean_f1
+ value: 69.4834471209584
+ - type: euclidean_precision
+ value: 67.88321167883211
+ - type: euclidean_recall
+ value: 71.16094986807387
+ - type: manhattan_accuracy
+ value: 86.6960720033379
+ - type: manhattan_ap
+ value: 76.00885156192993
+ - type: manhattan_f1
+ value: 69.24488725747247
+ - type: manhattan_precision
+ value: 68.8118811881188
+ - type: manhattan_recall
+ value: 69.68337730870712
+ - type: max_accuracy
+ value: 86.73183525064076
+ - type: max_ap
+ value: 76.08503499590553
+ - type: max_f1
+ value: 69.4834471209584
+ - task:
+ type: PairClassification
+ dataset:
+ type: mteb/twitterurlcorpus-pairclassification
+ name: MTEB TwitterURLCorpus
+ config: default
+ split: test
+ revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+ metrics:
+ - type: cos_sim_accuracy
+ value: 88.74529436876625
+ - type: cos_sim_ap
+ value: 85.53503158777171
+ - type: cos_sim_f1
+ value: 77.68167368965773
+ - type: cos_sim_precision
+ value: 74.70496232048912
+ - type: cos_sim_recall
+ value: 80.9054511857099
+ - type: dot_accuracy
+ value: 88.74529436876625
+ - type: dot_ap
+ value: 85.5350158446314
+ - type: dot_f1
+ value: 77.68167368965773
+ - type: dot_precision
+ value: 74.70496232048912
+ - type: dot_recall
+ value: 80.9054511857099
+ - type: euclidean_accuracy
+ value: 88.74529436876625
+ - type: euclidean_ap
+ value: 85.53503846009764
+ - type: euclidean_f1
+ value: 77.68167368965773
+ - type: euclidean_precision
+ value: 74.70496232048912
+ - type: euclidean_recall
+ value: 80.9054511857099
+ - type: manhattan_accuracy
+ value: 88.73753250281368
+ - type: manhattan_ap
+ value: 85.53197689629393
+ - type: manhattan_f1
+ value: 77.58753437213566
+ - type: manhattan_precision
+ value: 74.06033456988871
+ - type: manhattan_recall
+ value: 81.46750846935633
+ - type: max_accuracy
+ value: 88.74529436876625
+ - type: max_ap
+ value: 85.53503846009764
+ - type: max_f1
+ value: 77.68167368965773
+---
+
+
+
+
+ +
+ ++The crispy rerank family from mixedbread ai. +
+ +# mxbai-embed-2d-large-v1 + + +## Quickstart + +### sentence-transformers + +Currently, the best way to use our models is with the most recent version of sentence-transformers. + +`pip install -U sentence-transformers` + +### angle-emb +