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README.md

@@ -1,10 +1,2528 @@
 ---
+tags:
+- mteb
+- transformers.js
+- transformers
+- mlx
 license: apache-2.0
 language:
 - en
-base_model:
-- mixedbread-ai/mxbai-embed-large-v1
+library_name: sentence-transformers
 pipeline_tag: feature-extraction
-library_name: mlx
+model-index:
+- name: mxbai-angle-large-v1
+  results:
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB AmazonCounterfactualClassification (en)
+      type: mteb/amazon_counterfactual
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 75.044776119403
+    - type: ap
+      value: 37.7362433623053
+    - type: f1
+      value: 68.92736573359774
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB AmazonPolarityClassification
+      type: mteb/amazon_polarity
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 93.84025000000001
+    - type: ap
+      value: 90.93190875404055
+    - type: f1
+      value: 93.8297833897293
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB AmazonReviewsClassification (en)
+      type: mteb/amazon_reviews_multi
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 49.184
+    - type: f1
+      value: 48.74163227751588
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB ArguAna
+      type: arguana
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 41.252
+    - type: map_at_10
+      value: 57.778
+    - type: map_at_100
+      value: 58.233000000000004
+    - type: map_at_1000
+      value: 58.23700000000001
+    - type: map_at_3
+      value: 53.449999999999996
+    - type: map_at_5
+      value: 56.376000000000005
+    - type: mrr_at_1
+      value: 41.679
+    - type: mrr_at_10
+      value: 57.92699999999999
+    - type: mrr_at_100
+      value: 58.389
+    - type: mrr_at_1000
+      value: 58.391999999999996
+    - type: mrr_at_3
+      value: 53.651
+    - type: mrr_at_5
+      value: 56.521
+    - type: ndcg_at_1
+      value: 41.252
+    - type: ndcg_at_10
+      value: 66.018
+    - type: ndcg_at_100
+      value: 67.774
+    - type: ndcg_at_1000
+      value: 67.84400000000001
+    - type: ndcg_at_3
+      value: 57.372
+    - type: ndcg_at_5
+      value: 62.646
+    - type: precision_at_1
+      value: 41.252
+    - type: precision_at_10
+      value: 9.189
+    - type: precision_at_100
+      value: 0.991
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 22.902
+    - type: precision_at_5
+      value: 16.302
+    - type: recall_at_1
+      value: 41.252
+    - type: recall_at_10
+      value: 91.892
+    - type: recall_at_100
+      value: 99.14699999999999
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 68.706
+    - type: recall_at_5
+      value: 81.50800000000001
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB ArxivClusteringP2P
+      type: mteb/arxiv-clustering-p2p
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 48.97294504317859
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB ArxivClusteringS2S
+      type: mteb/arxiv-clustering-s2s
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 42.98071077674629
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB AskUbuntuDupQuestions
+      type: mteb/askubuntudupquestions-reranking
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 65.16477858490782
+    - type: mrr
+      value: 78.23583080508287
+  - task:
+      type: STS
+    dataset:
+      name: MTEB BIOSSES
+      type: mteb/biosses-sts
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.6277629421789
+    - type: cos_sim_spearman
+      value: 88.4056288400568
+    - type: euclidean_pearson
+      value: 87.94871847578163
+    - type: euclidean_spearman
+      value: 88.4056288400568
+    - type: manhattan_pearson
+      value: 87.73271254229648
+    - type: manhattan_spearman
+      value: 87.91826833762677
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB Banking77Classification
+      type: mteb/banking77
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 87.81818181818181
+    - type: f1
+      value: 87.79879337316918
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB BiorxivClusteringP2P
+      type: mteb/biorxiv-clustering-p2p
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 39.91773608582761
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB BiorxivClusteringS2S
+      type: mteb/biorxiv-clustering-s2s
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 36.73059477462478
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB CQADupstackAndroidRetrieval
+      type: BeIR/cqadupstack
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.745999999999995
+    - type: map_at_10
+      value: 43.632
+    - type: map_at_100
+      value: 45.206
+    - type: map_at_1000
+      value: 45.341
+    - type: map_at_3
+      value: 39.956
+    - type: map_at_5
+      value: 42.031
+    - type: mrr_at_1
+      value: 39.485
+    - type: mrr_at_10
+      value: 49.537
+    - type: mrr_at_100
+      value: 50.249
+    - type: mrr_at_1000
+      value: 50.294000000000004
+    - type: mrr_at_3
+      value: 46.757
+    - type: mrr_at_5
+      value: 48.481
+    - type: ndcg_at_1
+      value: 39.485
+    - type: ndcg_at_10
+      value: 50.058
+    - type: ndcg_at_100
+      value: 55.586
+    - type: ndcg_at_1000
+      value: 57.511
+    - type: ndcg_at_3
+      value: 44.786
+    - type: ndcg_at_5
+      value: 47.339999999999996
+    - type: precision_at_1
+      value: 39.485
+    - type: precision_at_10
+      value: 9.557
+    - type: precision_at_100
+      value: 1.552
+    - type: precision_at_1000
+      value: 0.202
+    - type: precision_at_3
+      value: 21.412
+    - type: precision_at_5
+      value: 15.479000000000001
+    - type: recall_at_1
+      value: 32.745999999999995
+    - type: recall_at_10
+      value: 62.056
+    - type: recall_at_100
+      value: 85.088
+    - type: recall_at_1000
+      value: 96.952
+    - type: recall_at_3
+      value: 46.959
+    - type: recall_at_5
+      value: 54.06999999999999
+    - type: map_at_1
+      value: 31.898
+    - type: map_at_10
+      value: 42.142
+    - type: map_at_100
+      value: 43.349
+    - type: map_at_1000
+      value: 43.483
+    - type: map_at_3
+      value: 39.18
+    - type: map_at_5
+      value: 40.733000000000004
+    - type: mrr_at_1
+      value: 39.617999999999995
+    - type: mrr_at_10
+      value: 47.922
+    - type: mrr_at_100
+      value: 48.547000000000004
+    - type: mrr_at_1000
+      value: 48.597
+    - type: mrr_at_3
+      value: 45.86
+    - type: mrr_at_5
+      value: 46.949000000000005
+    - type: ndcg_at_1
+      value: 39.617999999999995
+    - type: ndcg_at_10
+      value: 47.739
+    - type: ndcg_at_100
+      value: 51.934999999999995
+    - type: ndcg_at_1000
+      value: 54.007000000000005
+    - type: ndcg_at_3
+      value: 43.748
+    - type: ndcg_at_5
+      value: 45.345
+    - type: precision_at_1
+      value: 39.617999999999995
+    - type: precision_at_10
+      value: 8.962
+    - type: precision_at_100
+      value: 1.436
+    - type: precision_at_1000
+      value: 0.192
+    - type: precision_at_3
+      value: 21.083
+    - type: precision_at_5
+      value: 14.752
+    - type: recall_at_1
+      value: 31.898
+    - type: recall_at_10
+      value: 57.587999999999994
+    - type: recall_at_100
+      value: 75.323
+    - type: recall_at_1000
+      value: 88.304
+    - type: recall_at_3
+      value: 45.275
+    - type: recall_at_5
+      value: 49.99
+    - type: map_at_1
+      value: 40.458
+    - type: map_at_10
+      value: 52.942
+    - type: map_at_100
+      value: 53.974
+    - type: map_at_1000
+      value: 54.031
+    - type: map_at_3
+      value: 49.559999999999995
+    - type: map_at_5
+      value: 51.408
+    - type: mrr_at_1
+      value: 46.27
+    - type: mrr_at_10
+      value: 56.31699999999999
+    - type: mrr_at_100
+      value: 56.95099999999999
+    - type: mrr_at_1000
+      value: 56.98
+    - type: mrr_at_3
+      value: 53.835
+    - type: mrr_at_5
+      value: 55.252
+    - type: ndcg_at_1
+      value: 46.27
+    - type: ndcg_at_10
+      value: 58.964000000000006
+    - type: ndcg_at_100
+      value: 62.875
+    - type: ndcg_at_1000
+      value: 63.969
+    - type: ndcg_at_3
+      value: 53.297000000000004
+    - type: ndcg_at_5
+      value: 55.938
+    - type: precision_at_1
+      value: 46.27
+    - type: precision_at_10
+      value: 9.549000000000001
+    - type: precision_at_100
+      value: 1.2409999999999999
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 23.762
+    - type: precision_at_5
+      value: 16.262999999999998
+    - type: recall_at_1
+      value: 40.458
+    - type: recall_at_10
+      value: 73.446
+    - type: recall_at_100
+      value: 90.12400000000001
+    - type: recall_at_1000
+      value: 97.795
+    - type: recall_at_3
+      value: 58.123000000000005
+    - type: recall_at_5
+      value: 64.68
+    - type: map_at_1
+      value: 27.443
+    - type: map_at_10
+      value: 36.081
+    - type: map_at_100
+      value: 37.163000000000004
+    - type: map_at_1000
+      value: 37.232
+    - type: map_at_3
+      value: 33.308
+    - type: map_at_5
+      value: 34.724
+    - type: mrr_at_1
+      value: 29.492
+    - type: mrr_at_10
+      value: 38.138
+    - type: mrr_at_100
+      value: 39.065
+    - type: mrr_at_1000
+      value: 39.119
+    - type: mrr_at_3
+      value: 35.593
+    - type: mrr_at_5
+      value: 36.785000000000004
+    - type: ndcg_at_1
+      value: 29.492
+    - type: ndcg_at_10
+      value: 41.134
+    - type: ndcg_at_100
+      value: 46.300999999999995
+    - type: ndcg_at_1000
+      value: 48.106
+    - type: ndcg_at_3
+      value: 35.77
+    - type: ndcg_at_5
+      value: 38.032
+    - type: precision_at_1
+      value: 29.492
+    - type: precision_at_10
+      value: 6.249
+    - type: precision_at_100
+      value: 0.9299999999999999
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 15.065999999999999
+    - type: precision_at_5
+      value: 10.373000000000001
+    - type: recall_at_1
+      value: 27.443
+    - type: recall_at_10
+      value: 54.80199999999999
+    - type: recall_at_100
+      value: 78.21900000000001
+    - type: recall_at_1000
+      value: 91.751
+    - type: recall_at_3
+      value: 40.211000000000006
+    - type: recall_at_5
+      value: 45.599000000000004
+    - type: map_at_1
+      value: 18.731
+    - type: map_at_10
+      value: 26.717999999999996
+    - type: map_at_100
+      value: 27.897
+    - type: map_at_1000
+      value: 28.029
+    - type: map_at_3
+      value: 23.91
+    - type: map_at_5
+      value: 25.455
+    - type: mrr_at_1
+      value: 23.134
+    - type: mrr_at_10
+      value: 31.769
+    - type: mrr_at_100
+      value: 32.634
+    - type: mrr_at_1000
+      value: 32.707
+    - type: mrr_at_3
+      value: 28.938999999999997
+    - type: mrr_at_5
+      value: 30.531000000000002
+    - type: ndcg_at_1
+      value: 23.134
+    - type: ndcg_at_10
+      value: 32.249
+    - type: ndcg_at_100
+      value: 37.678
+    - type: ndcg_at_1000
+      value: 40.589999999999996
+    - type: ndcg_at_3
+      value: 26.985999999999997
+    - type: ndcg_at_5
+      value: 29.457
+    - type: precision_at_1
+      value: 23.134
+    - type: precision_at_10
+      value: 5.8709999999999996
+    - type: precision_at_100
+      value: 0.988
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 12.852
+    - type: precision_at_5
+      value: 9.428
+    - type: recall_at_1
+      value: 18.731
+    - type: recall_at_10
+      value: 44.419
+    - type: recall_at_100
+      value: 67.851
+    - type: recall_at_1000
+      value: 88.103
+    - type: recall_at_3
+      value: 29.919
+    - type: recall_at_5
+      value: 36.230000000000004
+    - type: map_at_1
+      value: 30.324
+    - type: map_at_10
+      value: 41.265
+    - type: map_at_100
+      value: 42.559000000000005
+    - type: map_at_1000
+      value: 42.669000000000004
+    - type: map_at_3
+      value: 38.138
+    - type: map_at_5
+      value: 39.881
+    - type: mrr_at_1
+      value: 36.67
+    - type: mrr_at_10
+      value: 46.774
+    - type: mrr_at_100
+      value: 47.554
+    - type: mrr_at_1000
+      value: 47.593
+    - type: mrr_at_3
+      value: 44.338
+    - type: mrr_at_5
+      value: 45.723
+    - type: ndcg_at_1
+      value: 36.67
+    - type: ndcg_at_10
+      value: 47.367
+    - type: ndcg_at_100
+      value: 52.623
+    - type: ndcg_at_1000
+      value: 54.59
+    - type: ndcg_at_3
+      value: 42.323
+    - type: ndcg_at_5
+      value: 44.727
+    - type: precision_at_1
+      value: 36.67
+    - type: precision_at_10
+      value: 8.518
+    - type: precision_at_100
+      value: 1.2890000000000001
+    - type: precision_at_1000
+      value: 0.163
+    - type: precision_at_3
+      value: 19.955000000000002
+    - type: precision_at_5
+      value: 14.11
+    - type: recall_at_1
+      value: 30.324
+    - type: recall_at_10
+      value: 59.845000000000006
+    - type: recall_at_100
+      value: 81.77499999999999
+    - type: recall_at_1000
+      value: 94.463
+    - type: recall_at_3
+      value: 46.019
+    - type: recall_at_5
+      value: 52.163000000000004
+    - type: map_at_1
+      value: 24.229
+    - type: map_at_10
+      value: 35.004000000000005
+    - type: map_at_100
+      value: 36.409000000000006
+    - type: map_at_1000
+      value: 36.521
+    - type: map_at_3
+      value: 31.793
+    - type: map_at_5
+      value: 33.432
+    - type: mrr_at_1
+      value: 30.365
+    - type: mrr_at_10
+      value: 40.502
+    - type: mrr_at_100
+      value: 41.372
+    - type: mrr_at_1000
+      value: 41.435
+    - type: mrr_at_3
+      value: 37.804
+    - type: mrr_at_5
+      value: 39.226
+    - type: ndcg_at_1
+      value: 30.365
+    - type: ndcg_at_10
+      value: 41.305
+    - type: ndcg_at_100
+      value: 47.028999999999996
+    - type: ndcg_at_1000
+      value: 49.375
+    - type: ndcg_at_3
+      value: 35.85
+    - type: ndcg_at_5
+      value: 38.12
+    - type: precision_at_1
+      value: 30.365
+    - type: precision_at_10
+      value: 7.808
+    - type: precision_at_100
+      value: 1.228
+    - type: precision_at_1000
+      value: 0.161
+    - type: precision_at_3
+      value: 17.352
+    - type: precision_at_5
+      value: 12.42
+    - type: recall_at_1
+      value: 24.229
+    - type: recall_at_10
+      value: 54.673
+    - type: recall_at_100
+      value: 78.766
+    - type: recall_at_1000
+      value: 94.625
+    - type: recall_at_3
+      value: 39.602
+    - type: recall_at_5
+      value: 45.558
+    - type: map_at_1
+      value: 26.695
+    - type: map_at_10
+      value: 36.0895
+    - type: map_at_100
+      value: 37.309416666666664
+    - type: map_at_1000
+      value: 37.42558333333334
+    - type: map_at_3
+      value: 33.19616666666666
+    - type: map_at_5
+      value: 34.78641666666667
+    - type: mrr_at_1
+      value: 31.486083333333337
+    - type: mrr_at_10
+      value: 40.34774999999999
+    - type: mrr_at_100
+      value: 41.17533333333333
+    - type: mrr_at_1000
+      value: 41.231583333333326
+    - type: mrr_at_3
+      value: 37.90075
+    - type: mrr_at_5
+      value: 39.266999999999996
+    - type: ndcg_at_1
+      value: 31.486083333333337
+    - type: ndcg_at_10
+      value: 41.60433333333334
+    - type: ndcg_at_100
+      value: 46.74525
+    - type: ndcg_at_1000
+      value: 48.96166666666667
+    - type: ndcg_at_3
+      value: 36.68825
+    - type: ndcg_at_5
+      value: 38.966499999999996
+    - type: precision_at_1
+      value: 31.486083333333337
+    - type: precision_at_10
+      value: 7.29675
+    - type: precision_at_100
+      value: 1.1621666666666666
+    - type: precision_at_1000
+      value: 0.1545
+    - type: precision_at_3
+      value: 16.8815
+    - type: precision_at_5
+      value: 11.974583333333333
+    - type: recall_at_1
+      value: 26.695
+    - type: recall_at_10
+      value: 53.651916666666665
+    - type: recall_at_100
+      value: 76.12083333333332
+    - type: recall_at_1000
+      value: 91.31191666666668
+    - type: recall_at_3
+      value: 40.03575
+    - type: recall_at_5
+      value: 45.876666666666665
+    - type: map_at_1
+      value: 25.668000000000003
+    - type: map_at_10
+      value: 32.486
+    - type: map_at_100
+      value: 33.371
+    - type: map_at_1000
+      value: 33.458
+    - type: map_at_3
+      value: 30.261
+    - type: map_at_5
+      value: 31.418000000000003
+    - type: mrr_at_1
+      value: 28.988000000000003
+    - type: mrr_at_10
+      value: 35.414
+    - type: mrr_at_100
+      value: 36.149
+    - type: mrr_at_1000
+      value: 36.215
+    - type: mrr_at_3
+      value: 33.333
+    - type: mrr_at_5
+      value: 34.43
+    - type: ndcg_at_1
+      value: 28.988000000000003
+    - type: ndcg_at_10
+      value: 36.732
+    - type: ndcg_at_100
+      value: 41.331
+    - type: ndcg_at_1000
+      value: 43.575
+    - type: ndcg_at_3
+      value: 32.413
+    - type: ndcg_at_5
+      value: 34.316
+    - type: precision_at_1
+      value: 28.988000000000003
+    - type: precision_at_10
+      value: 5.7059999999999995
+    - type: precision_at_100
+      value: 0.882
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 13.65
+    - type: precision_at_5
+      value: 9.417
+    - type: recall_at_1
+      value: 25.668000000000003
+    - type: recall_at_10
+      value: 47.147
+    - type: recall_at_100
+      value: 68.504
+    - type: recall_at_1000
+      value: 85.272
+    - type: recall_at_3
+      value: 35.19
+    - type: recall_at_5
+      value: 39.925
+    - type: map_at_1
+      value: 17.256
+    - type: map_at_10
+      value: 24.58
+    - type: map_at_100
+      value: 25.773000000000003
+    - type: map_at_1000
+      value: 25.899
+    - type: map_at_3
+      value: 22.236
+    - type: map_at_5
+      value: 23.507
+    - type: mrr_at_1
+      value: 20.957
+    - type: mrr_at_10
+      value: 28.416000000000004
+    - type: mrr_at_100
+      value: 29.447000000000003
+    - type: mrr_at_1000
+      value: 29.524
+    - type: mrr_at_3
+      value: 26.245
+    - type: mrr_at_5
+      value: 27.451999999999998
+    - type: ndcg_at_1
+      value: 20.957
+    - type: ndcg_at_10
+      value: 29.285
+    - type: ndcg_at_100
+      value: 35.003
+    - type: ndcg_at_1000
+      value: 37.881
+    - type: ndcg_at_3
+      value: 25.063000000000002
+    - type: ndcg_at_5
+      value: 26.983
+    - type: precision_at_1
+      value: 20.957
+    - type: precision_at_10
+      value: 5.344
+    - type: precision_at_100
+      value: 0.958
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 11.918
+    - type: precision_at_5
+      value: 8.596
+    - type: recall_at_1
+      value: 17.256
+    - type: recall_at_10
+      value: 39.644
+    - type: recall_at_100
+      value: 65.279
+    - type: recall_at_1000
+      value: 85.693
+    - type: recall_at_3
+      value: 27.825
+    - type: recall_at_5
+      value: 32.792
+    - type: map_at_1
+      value: 26.700000000000003
+    - type: map_at_10
+      value: 36.205999999999996
+    - type: map_at_100
+      value: 37.316
+    - type: map_at_1000
+      value: 37.425000000000004
+    - type: map_at_3
+      value: 33.166000000000004
+    - type: map_at_5
+      value: 35.032999999999994
+    - type: mrr_at_1
+      value: 31.436999999999998
+    - type: mrr_at_10
+      value: 40.61
+    - type: mrr_at_100
+      value: 41.415
+    - type: mrr_at_1000
+      value: 41.48
+    - type: mrr_at_3
+      value: 37.966
+    - type: mrr_at_5
+      value: 39.599000000000004
+    - type: ndcg_at_1
+      value: 31.436999999999998
+    - type: ndcg_at_10
+      value: 41.771
+    - type: ndcg_at_100
+      value: 46.784
+    - type: ndcg_at_1000
+      value: 49.183
+    - type: ndcg_at_3
+      value: 36.437000000000005
+    - type: ndcg_at_5
+      value: 39.291
+    - type: precision_at_1
+      value: 31.436999999999998
+    - type: precision_at_10
+      value: 6.987
+    - type: precision_at_100
+      value: 1.072
+    - type: precision_at_1000
+      value: 0.13899999999999998
+    - type: precision_at_3
+      value: 16.448999999999998
+    - type: precision_at_5
+      value: 11.866
+    - type: recall_at_1
+      value: 26.700000000000003
+    - type: recall_at_10
+      value: 54.301
+    - type: recall_at_100
+      value: 75.871
+    - type: recall_at_1000
+      value: 92.529
+    - type: recall_at_3
+      value: 40.201
+    - type: recall_at_5
+      value: 47.208
+    - type: map_at_1
+      value: 24.296
+    - type: map_at_10
+      value: 33.116
+    - type: map_at_100
+      value: 34.81
+    - type: map_at_1000
+      value: 35.032000000000004
+    - type: map_at_3
+      value: 30.105999999999998
+    - type: map_at_5
+      value: 31.839000000000002
+    - type: mrr_at_1
+      value: 29.051
+    - type: mrr_at_10
+      value: 37.803
+    - type: mrr_at_100
+      value: 38.856
+    - type: mrr_at_1000
+      value: 38.903999999999996
+    - type: mrr_at_3
+      value: 35.211
+    - type: mrr_at_5
+      value: 36.545
+    - type: ndcg_at_1
+      value: 29.051
+    - type: ndcg_at_10
+      value: 39.007
+    - type: ndcg_at_100
+      value: 45.321
+    - type: ndcg_at_1000
+      value: 47.665
+    - type: ndcg_at_3
+      value: 34.1
+    - type: ndcg_at_5
+      value: 36.437000000000005
+    - type: precision_at_1
+      value: 29.051
+    - type: precision_at_10
+      value: 7.668
+    - type: precision_at_100
+      value: 1.542
+    - type: precision_at_1000
+      value: 0.24
+    - type: precision_at_3
+      value: 16.14
+    - type: precision_at_5
+      value: 11.897
+    - type: recall_at_1
+      value: 24.296
+    - type: recall_at_10
+      value: 49.85
+    - type: recall_at_100
+      value: 78.457
+    - type: recall_at_1000
+      value: 92.618
+    - type: recall_at_3
+      value: 36.138999999999996
+    - type: recall_at_5
+      value: 42.223
+    - type: map_at_1
+      value: 20.591
+    - type: map_at_10
+      value: 28.902
+    - type: map_at_100
+      value: 29.886000000000003
+    - type: map_at_1000
+      value: 29.987000000000002
+    - type: map_at_3
+      value: 26.740000000000002
+    - type: map_at_5
+      value: 27.976
+    - type: mrr_at_1
+      value: 22.366
+    - type: mrr_at_10
+      value: 30.971
+    - type: mrr_at_100
+      value: 31.865
+    - type: mrr_at_1000
+      value: 31.930999999999997
+    - type: mrr_at_3
+      value: 28.927999999999997
+    - type: mrr_at_5
+      value: 30.231
+    - type: ndcg_at_1
+      value: 22.366
+    - type: ndcg_at_10
+      value: 33.641
+    - type: ndcg_at_100
+      value: 38.477
+    - type: ndcg_at_1000
+      value: 41.088
+    - type: ndcg_at_3
+      value: 29.486
+    - type: ndcg_at_5
+      value: 31.612000000000002
+    - type: precision_at_1
+      value: 22.366
+    - type: precision_at_10
+      value: 5.3420000000000005
+    - type: precision_at_100
+      value: 0.828
+    - type: precision_at_1000
+      value: 0.11800000000000001
+    - type: precision_at_3
+      value: 12.939
+    - type: precision_at_5
+      value: 9.094
+    - type: recall_at_1
+      value: 20.591
+    - type: recall_at_10
+      value: 46.052
+    - type: recall_at_100
+      value: 68.193
+    - type: recall_at_1000
+      value: 87.638
+    - type: recall_at_3
+      value: 34.966
+    - type: recall_at_5
+      value: 40.082
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB ClimateFEVER
+      type: climate-fever
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.091
+    - type: map_at_10
+      value: 26.38
+    - type: map_at_100
+      value: 28.421999999999997
+    - type: map_at_1000
+      value: 28.621999999999996
+    - type: map_at_3
+      value: 21.597
+    - type: map_at_5
+      value: 24.12
+    - type: mrr_at_1
+      value: 34.266999999999996
+    - type: mrr_at_10
+      value: 46.864
+    - type: mrr_at_100
+      value: 47.617
+    - type: mrr_at_1000
+      value: 47.644
+    - type: mrr_at_3
+      value: 43.312
+    - type: mrr_at_5
+      value: 45.501000000000005
+    - type: ndcg_at_1
+      value: 34.266999999999996
+    - type: ndcg_at_10
+      value: 36.095
+    - type: ndcg_at_100
+      value: 43.447
+    - type: ndcg_at_1000
+      value: 46.661
+    - type: ndcg_at_3
+      value: 29.337999999999997
+    - type: ndcg_at_5
+      value: 31.824
+    - type: precision_at_1
+      value: 34.266999999999996
+    - type: precision_at_10
+      value: 11.472
+    - type: precision_at_100
+      value: 1.944
+    - type: precision_at_1000
+      value: 0.255
+    - type: precision_at_3
+      value: 21.933
+    - type: precision_at_5
+      value: 17.224999999999998
+    - type: recall_at_1
+      value: 15.091
+    - type: recall_at_10
+      value: 43.022
+    - type: recall_at_100
+      value: 68.075
+    - type: recall_at_1000
+      value: 85.76
+    - type: recall_at_3
+      value: 26.564
+    - type: recall_at_5
+      value: 33.594
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB DBPedia
+      type: dbpedia-entity
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.252
+    - type: map_at_10
+      value: 20.923
+    - type: map_at_100
+      value: 30.741000000000003
+    - type: map_at_1000
+      value: 32.542
+    - type: map_at_3
+      value: 14.442
+    - type: map_at_5
+      value: 17.399
+    - type: mrr_at_1
+      value: 70.25
+    - type: mrr_at_10
+      value: 78.17
+    - type: mrr_at_100
+      value: 78.444
+    - type: mrr_at_1000
+      value: 78.45100000000001
+    - type: mrr_at_3
+      value: 76.958
+    - type: mrr_at_5
+      value: 77.571
+    - type: ndcg_at_1
+      value: 58.375
+    - type: ndcg_at_10
+      value: 44.509
+    - type: ndcg_at_100
+      value: 49.897999999999996
+    - type: ndcg_at_1000
+      value: 57.269999999999996
+    - type: ndcg_at_3
+      value: 48.64
+    - type: ndcg_at_5
+      value: 46.697
+    - type: precision_at_1
+      value: 70.25
+    - type: precision_at_10
+      value: 36.05
+    - type: precision_at_100
+      value: 11.848
+    - type: precision_at_1000
+      value: 2.213
+    - type: precision_at_3
+      value: 52.917
+    - type: precision_at_5
+      value: 45.7
+    - type: recall_at_1
+      value: 9.252
+    - type: recall_at_10
+      value: 27.006999999999998
+    - type: recall_at_100
+      value: 57.008
+    - type: recall_at_1000
+      value: 80.697
+    - type: recall_at_3
+      value: 15.798000000000002
+    - type: recall_at_5
+      value: 20.4
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB EmotionClassification
+      type: mteb/emotion
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 50.88
+    - type: f1
+      value: 45.545495028653384
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB FEVER
+      type: fever
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 75.424
+    - type: map_at_10
+      value: 83.435
+    - type: map_at_100
+      value: 83.66900000000001
+    - type: map_at_1000
+      value: 83.685
+    - type: map_at_3
+      value: 82.39800000000001
+    - type: map_at_5
+      value: 83.07
+    - type: mrr_at_1
+      value: 81.113
+    - type: mrr_at_10
+      value: 87.77199999999999
+    - type: mrr_at_100
+      value: 87.862
+    - type: mrr_at_1000
+      value: 87.86500000000001
+    - type: mrr_at_3
+      value: 87.17099999999999
+    - type: mrr_at_5
+      value: 87.616
+    - type: ndcg_at_1
+      value: 81.113
+    - type: ndcg_at_10
+      value: 86.909
+    - type: ndcg_at_100
+      value: 87.746
+    - type: ndcg_at_1000
+      value: 88.017
+    - type: ndcg_at_3
+      value: 85.368
+    - type: ndcg_at_5
+      value: 86.28099999999999
+    - type: precision_at_1
+      value: 81.113
+    - type: precision_at_10
+      value: 10.363
+    - type: precision_at_100
+      value: 1.102
+    - type: precision_at_1000
+      value: 0.11399999999999999
+    - type: precision_at_3
+      value: 32.507999999999996
+    - type: precision_at_5
+      value: 20.138
+    - type: recall_at_1
+      value: 75.424
+    - type: recall_at_10
+      value: 93.258
+    - type: recall_at_100
+      value: 96.545
+    - type: recall_at_1000
+      value: 98.284
+    - type: recall_at_3
+      value: 89.083
+    - type: recall_at_5
+      value: 91.445
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB FiQA2018
+      type: fiqa
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.532
+    - type: map_at_10
+      value: 37.141999999999996
+    - type: map_at_100
+      value: 39.162
+    - type: map_at_1000
+      value: 39.322
+    - type: map_at_3
+      value: 32.885
+    - type: map_at_5
+      value: 35.093999999999994
+    - type: mrr_at_1
+      value: 44.29
+    - type: mrr_at_10
+      value: 53.516
+    - type: mrr_at_100
+      value: 54.24
+    - type: mrr_at_1000
+      value: 54.273
+    - type: mrr_at_3
+      value: 51.286
+    - type: mrr_at_5
+      value: 52.413
+    - type: ndcg_at_1
+      value: 44.29
+    - type: ndcg_at_10
+      value: 45.268
+    - type: ndcg_at_100
+      value: 52.125
+    - type: ndcg_at_1000
+      value: 54.778000000000006
+    - type: ndcg_at_3
+      value: 41.829
+    - type: ndcg_at_5
+      value: 42.525
+    - type: precision_at_1
+      value: 44.29
+    - type: precision_at_10
+      value: 12.5
+    - type: precision_at_100
+      value: 1.9720000000000002
+    - type: precision_at_1000
+      value: 0.245
+    - type: precision_at_3
+      value: 28.035
+    - type: precision_at_5
+      value: 20.093
+    - type: recall_at_1
+      value: 22.532
+    - type: recall_at_10
+      value: 52.419000000000004
+    - type: recall_at_100
+      value: 77.43299999999999
+    - type: recall_at_1000
+      value: 93.379
+    - type: recall_at_3
+      value: 38.629000000000005
+    - type: recall_at_5
+      value: 43.858000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB HotpotQA
+      type: hotpotqa
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 39.359
+    - type: map_at_10
+      value: 63.966
+    - type: map_at_100
+      value: 64.87
+    - type: map_at_1000
+      value: 64.92599999999999
+    - type: map_at_3
+      value: 60.409
+    - type: map_at_5
+      value: 62.627
+    - type: mrr_at_1
+      value: 78.717
+    - type: mrr_at_10
+      value: 84.468
+    - type: mrr_at_100
+      value: 84.655
+    - type: mrr_at_1000
+      value: 84.661
+    - type: mrr_at_3
+      value: 83.554
+    - type: mrr_at_5
+      value: 84.133
+    - type: ndcg_at_1
+      value: 78.717
+    - type: ndcg_at_10
+      value: 72.03399999999999
+    - type: ndcg_at_100
+      value: 75.158
+    - type: ndcg_at_1000
+      value: 76.197
+    - type: ndcg_at_3
+      value: 67.049
+    - type: ndcg_at_5
+      value: 69.808
+    - type: precision_at_1
+      value: 78.717
+    - type: precision_at_10
+      value: 15.201
+    - type: precision_at_100
+      value: 1.764
+    - type: precision_at_1000
+      value: 0.19
+    - type: precision_at_3
+      value: 43.313
+    - type: precision_at_5
+      value: 28.165000000000003
+    - type: recall_at_1
+      value: 39.359
+    - type: recall_at_10
+      value: 76.003
+    - type: recall_at_100
+      value: 88.197
+    - type: recall_at_1000
+      value: 95.003
+    - type: recall_at_3
+      value: 64.97
+    - type: recall_at_5
+      value: 70.41199999999999
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB ImdbClassification
+      type: mteb/imdb
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 92.83200000000001
+    - type: ap
+      value: 89.33560571859861
+    - type: f1
+      value: 92.82322915005167
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB MSMARCO
+      type: msmarco
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.983
+    - type: map_at_10
+      value: 34.259
+    - type: map_at_100
+      value: 35.432
+    - type: map_at_1000
+      value: 35.482
+    - type: map_at_3
+      value: 30.275999999999996
+    - type: map_at_5
+      value: 32.566
+    - type: mrr_at_1
+      value: 22.579
+    - type: mrr_at_10
+      value: 34.882999999999996
+    - type: mrr_at_100
+      value: 35.984
+    - type: mrr_at_1000
+      value: 36.028
+    - type: mrr_at_3
+      value: 30.964999999999996
+    - type: mrr_at_5
+      value: 33.245000000000005
+    - type: ndcg_at_1
+      value: 22.564
+    - type: ndcg_at_10
+      value: 41.258
+    - type: ndcg_at_100
+      value: 46.824
+    - type: ndcg_at_1000
+      value: 48.037
+    - type: ndcg_at_3
+      value: 33.17
+    - type: ndcg_at_5
+      value: 37.263000000000005
+    - type: precision_at_1
+      value: 22.564
+    - type: precision_at_10
+      value: 6.572
+    - type: precision_at_100
+      value: 0.935
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 14.130999999999998
+    - type: precision_at_5
+      value: 10.544
+    - type: recall_at_1
+      value: 21.983
+    - type: recall_at_10
+      value: 62.775000000000006
+    - type: recall_at_100
+      value: 88.389
+    - type: recall_at_1000
+      value: 97.603
+    - type: recall_at_3
+      value: 40.878
+    - type: recall_at_5
+      value: 50.690000000000005
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB MTOPDomainClassification (en)
+      type: mteb/mtop_domain
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 93.95120839033288
+    - type: f1
+      value: 93.73824125055208
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB MTOPIntentClassification (en)
+      type: mteb/mtop_intent
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 76.78978568171455
+    - type: f1
+      value: 57.50180552858304
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB MassiveIntentClassification (en)
+      type: mteb/amazon_massive_intent
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 76.24411566913248
+    - type: f1
+      value: 74.37851403532832
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB MassiveScenarioClassification (en)
+      type: mteb/amazon_massive_scenario
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 79.94620040349699
+    - type: f1
+      value: 80.21293397970435
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB MedrxivClusteringP2P
+      type: mteb/medrxiv-clustering-p2p
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 33.44403096245675
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB MedrxivClusteringS2S
+      type: mteb/medrxiv-clustering-s2s
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 31.659594631336812
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB MindSmallReranking
+      type: mteb/mind_small
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 32.53833075108798
+    - type: mrr
+      value: 33.78840823218308
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB NFCorpus
+      type: nfcorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.185999999999999
+    - type: map_at_10
+      value: 15.193999999999999
+    - type: map_at_100
+      value: 19.538
+    - type: map_at_1000
+      value: 21.178
+    - type: map_at_3
+      value: 11.208
+    - type: map_at_5
+      value: 12.745999999999999
+    - type: mrr_at_1
+      value: 48.916
+    - type: mrr_at_10
+      value: 58.141
+    - type: mrr_at_100
+      value: 58.656
+    - type: mrr_at_1000
+      value: 58.684999999999995
+    - type: mrr_at_3
+      value: 55.521
+    - type: mrr_at_5
+      value: 57.239
+    - type: ndcg_at_1
+      value: 47.059
+    - type: ndcg_at_10
+      value: 38.644
+    - type: ndcg_at_100
+      value: 36.272999999999996
+    - type: ndcg_at_1000
+      value: 44.996
+    - type: ndcg_at_3
+      value: 43.293
+    - type: ndcg_at_5
+      value: 40.819
+    - type: precision_at_1
+      value: 48.916
+    - type: precision_at_10
+      value: 28.607
+    - type: precision_at_100
+      value: 9.195
+    - type: precision_at_1000
+      value: 2.225
+    - type: precision_at_3
+      value: 40.454
+    - type: precision_at_5
+      value: 34.985
+    - type: recall_at_1
+      value: 7.185999999999999
+    - type: recall_at_10
+      value: 19.654
+    - type: recall_at_100
+      value: 37.224000000000004
+    - type: recall_at_1000
+      value: 68.663
+    - type: recall_at_3
+      value: 12.158
+    - type: recall_at_5
+      value: 14.674999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB NQ
+      type: nq
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 31.552000000000003
+    - type: map_at_10
+      value: 47.75
+    - type: map_at_100
+      value: 48.728
+    - type: map_at_1000
+      value: 48.754
+    - type: map_at_3
+      value: 43.156
+    - type: map_at_5
+      value: 45.883
+    - type: mrr_at_1
+      value: 35.66
+    - type: mrr_at_10
+      value: 50.269
+    - type: mrr_at_100
+      value: 50.974
+    - type: mrr_at_1000
+      value: 50.991
+    - type: mrr_at_3
+      value: 46.519
+    - type: mrr_at_5
+      value: 48.764
+    - type: ndcg_at_1
+      value: 35.632000000000005
+    - type: ndcg_at_10
+      value: 55.786
+    - type: ndcg_at_100
+      value: 59.748999999999995
+    - type: ndcg_at_1000
+      value: 60.339
+    - type: ndcg_at_3
+      value: 47.292
+    - type: ndcg_at_5
+      value: 51.766999999999996
+    - type: precision_at_1
+      value: 35.632000000000005
+    - type: precision_at_10
+      value: 9.267
+    - type: precision_at_100
+      value: 1.149
+    - type: precision_at_1000
+      value: 0.12
+    - type: precision_at_3
+      value: 21.601
+    - type: precision_at_5
+      value: 15.539
+    - type: recall_at_1
+      value: 31.552000000000003
+    - type: recall_at_10
+      value: 77.62400000000001
+    - type: recall_at_100
+      value: 94.527
+    - type: recall_at_1000
+      value: 98.919
+    - type: recall_at_3
+      value: 55.898
+    - type: recall_at_5
+      value: 66.121
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB QuoraRetrieval
+      type: quora
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 71.414
+    - type: map_at_10
+      value: 85.37400000000001
+    - type: map_at_100
+      value: 86.01100000000001
+    - type: map_at_1000
+      value: 86.027
+    - type: map_at_3
+      value: 82.562
+    - type: map_at_5
+      value: 84.284
+    - type: mrr_at_1
+      value: 82.24000000000001
+    - type: mrr_at_10
+      value: 88.225
+    - type: mrr_at_100
+      value: 88.324
+    - type: mrr_at_1000
+      value: 88.325
+    - type: mrr_at_3
+      value: 87.348
+    - type: mrr_at_5
+      value: 87.938
+    - type: ndcg_at_1
+      value: 82.24000000000001
+    - type: ndcg_at_10
+      value: 88.97699999999999
+    - type: ndcg_at_100
+      value: 90.16
+    - type: ndcg_at_1000
+      value: 90.236
+    - type: ndcg_at_3
+      value: 86.371
+    - type: ndcg_at_5
+      value: 87.746
+    - type: precision_at_1
+      value: 82.24000000000001
+    - type: precision_at_10
+      value: 13.481000000000002
+    - type: precision_at_100
+      value: 1.534
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 37.86
+    - type: precision_at_5
+      value: 24.738
+    - type: recall_at_1
+      value: 71.414
+    - type: recall_at_10
+      value: 95.735
+    - type: recall_at_100
+      value: 99.696
+    - type: recall_at_1000
+      value: 99.979
+    - type: recall_at_3
+      value: 88.105
+    - type: recall_at_5
+      value: 92.17999999999999
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB RedditClustering
+      type: mteb/reddit-clustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 60.22146692057259
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB RedditClusteringP2P
+      type: mteb/reddit-clustering-p2p
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 65.29273320614578
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB SCIDOCS
+      type: scidocs
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.023
+    - type: map_at_10
+      value: 14.161000000000001
+    - type: map_at_100
+      value: 16.68
+    - type: map_at_1000
+      value: 17.072000000000003
+    - type: map_at_3
+      value: 9.763
+    - type: map_at_5
+      value: 11.977
+    - type: mrr_at_1
+      value: 24.8
+    - type: mrr_at_10
+      value: 37.602999999999994
+    - type: mrr_at_100
+      value: 38.618
+    - type: mrr_at_1000
+      value: 38.659
+    - type: mrr_at_3
+      value: 34.117
+    - type: mrr_at_5
+      value: 36.082
+    - type: ndcg_at_1
+      value: 24.8
+    - type: ndcg_at_10
+      value: 23.316
+    - type: ndcg_at_100
+      value: 32.613
+    - type: ndcg_at_1000
+      value: 38.609
+    - type: ndcg_at_3
+      value: 21.697
+    - type: ndcg_at_5
+      value: 19.241
+    - type: precision_at_1
+      value: 24.8
+    - type: precision_at_10
+      value: 12.36
+    - type: precision_at_100
+      value: 2.593
+    - type: precision_at_1000
+      value: 0.402
+    - type: precision_at_3
+      value: 20.767
+    - type: precision_at_5
+      value: 17.34
+    - type: recall_at_1
+      value: 5.023
+    - type: recall_at_10
+      value: 25.069999999999997
+    - type: recall_at_100
+      value: 52.563
+    - type: recall_at_1000
+      value: 81.525
+    - type: recall_at_3
+      value: 12.613
+    - type: recall_at_5
+      value: 17.583
+  - task:
+      type: STS
+    dataset:
+      name: MTEB SICK-R
+      type: mteb/sickr-sts
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.71506247604255
+    - type: cos_sim_spearman
+      value: 82.91813463738802
+    - type: euclidean_pearson
+      value: 85.5154616194479
+    - type: euclidean_spearman
+      value: 82.91815254466314
+    - type: manhattan_pearson
+      value: 85.5280917850374
+    - type: manhattan_spearman
+      value: 82.92276537286398
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS12
+      type: mteb/sts12-sts
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.43772054228462
+    - type: cos_sim_spearman
+      value: 78.75750601716682
+    - type: euclidean_pearson
+      value: 85.76074482955764
+    - type: euclidean_spearman
+      value: 78.75651057223058
+    - type: manhattan_pearson
+      value: 85.73390291701668
+    - type: manhattan_spearman
+      value: 78.72699385957797
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS13
+      type: mteb/sts13-sts
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.58144067172472
+    - type: cos_sim_spearman
+      value: 90.3524512966946
+    - type: euclidean_pearson
+      value: 89.71365391594237
+    - type: euclidean_spearman
+      value: 90.35239632843408
+    - type: manhattan_pearson
+      value: 89.66905421746478
+    - type: manhattan_spearman
+      value: 90.31508211683513
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS14
+      type: mteb/sts14-sts
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.77692637102102
+    - type: cos_sim_spearman
+      value: 85.45710562643485
+    - type: euclidean_pearson
+      value: 87.42456979928723
+    - type: euclidean_spearman
+      value: 85.45709386240908
+    - type: manhattan_pearson
+      value: 87.40754529526272
+    - type: manhattan_spearman
+      value: 85.44834854173303
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS15
+      type: mteb/sts15-sts
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.28491331695997
+    - type: cos_sim_spearman
+      value: 89.62037029566964
+    - type: euclidean_pearson
+      value: 89.02479391362826
+    - type: euclidean_spearman
+      value: 89.62036733618466
+    - type: manhattan_pearson
+      value: 89.00394756040342
+    - type: manhattan_spearman
+      value: 89.60867744215236
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS16
+      type: mteb/sts16-sts
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.08911381280191
+    - type: cos_sim_spearman
+      value: 86.5791780765767
+    - type: euclidean_pearson
+      value: 86.16063473577861
+    - type: euclidean_spearman
+      value: 86.57917745378766
+    - type: manhattan_pearson
+      value: 86.13677924604175
+    - type: manhattan_spearman
+      value: 86.56115615768685
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS17 (en-en)
+      type: mteb/sts17-crosslingual-sts
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.58029496205235
+    - type: cos_sim_spearman
+      value: 89.49551253826998
+    - type: euclidean_pearson
+      value: 90.13714840963748
+    - type: euclidean_spearman
+      value: 89.49551253826998
+    - type: manhattan_pearson
+      value: 90.13039633601363
+    - type: manhattan_spearman
+      value: 89.4513453745516
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS22 (en)
+      type: mteb/sts22-crosslingual-sts
+      config: en
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 69.01546399666435
+    - type: cos_sim_spearman
+      value: 69.33824484595624
+    - type: euclidean_pearson
+      value: 70.76511642998874
+    - type: euclidean_spearman
+      value: 69.33824484595624
+    - type: manhattan_pearson
+      value: 70.84320785047453
+    - type: manhattan_spearman
+      value: 69.54233632223537
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STSBenchmark
+      type: mteb/stsbenchmark-sts
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.26389196390119
+    - type: cos_sim_spearman
+      value: 89.09721478341385
+    - type: euclidean_pearson
+      value: 88.97208685922517
+    - type: euclidean_spearman
+      value: 89.09720927308881
+    - type: manhattan_pearson
+      value: 88.97513670502573
+    - type: manhattan_spearman
+      value: 89.07647853984004
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB SciDocsRR
+      type: mteb/scidocs-reranking
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 87.53075025771936
+    - type: mrr
+      value: 96.24327651288436
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB SciFact
+      type: scifact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 60.428000000000004
+    - type: map_at_10
+      value: 70.088
+    - type: map_at_100
+      value: 70.589
+    - type: map_at_1000
+      value: 70.614
+    - type: map_at_3
+      value: 67.191
+    - type: map_at_5
+      value: 68.515
+    - type: mrr_at_1
+      value: 63.333
+    - type: mrr_at_10
+      value: 71.13000000000001
+    - type: mrr_at_100
+      value: 71.545
+    - type: mrr_at_1000
+      value: 71.569
+    - type: mrr_at_3
+      value: 68.944
+    - type: mrr_at_5
+      value: 70.078
+    - type: ndcg_at_1
+      value: 63.333
+    - type: ndcg_at_10
+      value: 74.72800000000001
+    - type: ndcg_at_100
+      value: 76.64999999999999
+    - type: ndcg_at_1000
+      value: 77.176
+    - type: ndcg_at_3
+      value: 69.659
+    - type: ndcg_at_5
+      value: 71.626
+    - type: precision_at_1
+      value: 63.333
+    - type: precision_at_10
+      value: 10
+    - type: precision_at_100
+      value: 1.09
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 27.111
+    - type: precision_at_5
+      value: 17.666999999999998
+    - type: recall_at_1
+      value: 60.428000000000004
+    - type: recall_at_10
+      value: 87.98899999999999
+    - type: recall_at_100
+      value: 96.167
+    - type: recall_at_1000
+      value: 100
+    - type: recall_at_3
+      value: 74.006
+    - type: recall_at_5
+      value: 79.05
+  - task:
+      type: PairClassification
+    dataset:
+      name: MTEB SprintDuplicateQuestions
+      type: mteb/sprintduplicatequestions-pairclassification
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.87326732673267
+    - type: cos_sim_ap
+      value: 96.81770773701805
+    - type: cos_sim_f1
+      value: 93.6318407960199
+    - type: cos_sim_precision
+      value: 93.16831683168317
+    - type: cos_sim_recall
+      value: 94.1
+    - type: dot_accuracy
+      value: 99.87326732673267
+    - type: dot_ap
+      value: 96.8174218946665
+    - type: dot_f1
+      value: 93.6318407960199
+    - type: dot_precision
+      value: 93.16831683168317
+    - type: dot_recall
+      value: 94.1
+    - type: euclidean_accuracy
+      value: 99.87326732673267
+    - type: euclidean_ap
+      value: 96.81770773701807
+    - type: euclidean_f1
+      value: 93.6318407960199
+    - type: euclidean_precision
+      value: 93.16831683168317
+    - type: euclidean_recall
+      value: 94.1
+    - type: manhattan_accuracy
+      value: 99.87227722772278
+    - type: manhattan_ap
+      value: 96.83164126821747
+    - type: manhattan_f1
+      value: 93.54677338669335
+    - type: manhattan_precision
+      value: 93.5935935935936
+    - type: manhattan_recall
+      value: 93.5
+    - type: max_accuracy
+      value: 99.87326732673267
+    - type: max_ap
+      value: 96.83164126821747
+    - type: max_f1
+      value: 93.6318407960199
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB StackExchangeClustering
+      type: mteb/stackexchange-clustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 65.6212042420246
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB StackExchangeClusteringP2P
+      type: mteb/stackexchange-clustering-p2p
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 35.779230635982564
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB StackOverflowDupQuestions
+      type: mteb/stackoverflowdupquestions-reranking
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 55.217701909036286
+    - type: mrr
+      value: 56.17658995416349
+  - task:
+      type: Summarization
+    dataset:
+      name: MTEB SummEval
+      type: mteb/summeval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.954206018888453
+    - type: cos_sim_spearman
+      value: 32.71062599450096
+    - type: dot_pearson
+      value: 30.95420929056943
+    - type: dot_spearman
+      value: 32.71062599450096
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB TRECCOVID
+      type: trec-covid
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.22699999999999998
+    - type: map_at_10
+      value: 1.924
+    - type: map_at_100
+      value: 10.525
+    - type: map_at_1000
+      value: 24.973
+    - type: map_at_3
+      value: 0.638
+    - type: map_at_5
+      value: 1.0659999999999998
+    - type: mrr_at_1
+      value: 84
+    - type: mrr_at_10
+      value: 91.067
+    - type: mrr_at_100
+      value: 91.067
+    - type: mrr_at_1000
+      value: 91.067
+    - type: mrr_at_3
+      value: 90.667
+    - type: mrr_at_5
+      value: 91.067
+    - type: ndcg_at_1
+      value: 81
+    - type: ndcg_at_10
+      value: 75.566
+    - type: ndcg_at_100
+      value: 56.387
+    - type: ndcg_at_1000
+      value: 49.834
+    - type: ndcg_at_3
+      value: 80.899
+    - type: ndcg_at_5
+      value: 80.75099999999999
+    - type: precision_at_1
+      value: 84
+    - type: precision_at_10
+      value: 79
+    - type: precision_at_100
+      value: 57.56
+    - type: precision_at_1000
+      value: 21.8
+    - type: precision_at_3
+      value: 84.667
+    - type: precision_at_5
+      value: 85.2
+    - type: recall_at_1
+      value: 0.22699999999999998
+    - type: recall_at_10
+      value: 2.136
+    - type: recall_at_100
+      value: 13.861
+    - type: recall_at_1000
+      value: 46.299
+    - type: recall_at_3
+      value: 0.6649999999999999
+    - type: recall_at_5
+      value: 1.145
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB Touche2020
+      type: webis-touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.752
+    - type: map_at_10
+      value: 9.951
+    - type: map_at_100
+      value: 16.794999999999998
+    - type: map_at_1000
+      value: 18.251
+    - type: map_at_3
+      value: 5.288
+    - type: map_at_5
+      value: 6.954000000000001
+    - type: mrr_at_1
+      value: 38.775999999999996
+    - type: mrr_at_10
+      value: 50.458000000000006
+    - type: mrr_at_100
+      value: 51.324999999999996
+    - type: mrr_at_1000
+      value: 51.339999999999996
+    - type: mrr_at_3
+      value: 46.939
+    - type: mrr_at_5
+      value: 47.857
+    - type: ndcg_at_1
+      value: 36.735
+    - type: ndcg_at_10
+      value: 25.198999999999998
+    - type: ndcg_at_100
+      value: 37.938
+    - type: ndcg_at_1000
+      value: 49.145
+    - type: ndcg_at_3
+      value: 29.348000000000003
+    - type: ndcg_at_5
+      value: 25.804
+    - type: precision_at_1
+      value: 38.775999999999996
+    - type: precision_at_10
+      value: 22.041
+    - type: precision_at_100
+      value: 7.939
+    - type: precision_at_1000
+      value: 1.555
+    - type: precision_at_3
+      value: 29.932
+    - type: precision_at_5
+      value: 24.490000000000002
+    - type: recall_at_1
+      value: 2.752
+    - type: recall_at_10
+      value: 16.197
+    - type: recall_at_100
+      value: 49.166
+    - type: recall_at_1000
+      value: 84.18900000000001
+    - type: recall_at_3
+      value: 6.438000000000001
+    - type: recall_at_5
+      value: 9.093
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB ToxicConversationsClassification
+      type: mteb/toxic_conversations_50k
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 71.47980000000001
+    - type: ap
+      value: 14.605194452178754
+    - type: f1
+      value: 55.07362924988948
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB TweetSentimentExtractionClassification
+      type: mteb/tweet_sentiment_extraction
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 59.708545557441994
+    - type: f1
+      value: 60.04751270975683
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB TwentyNewsgroupsClustering
+      type: mteb/twentynewsgroups-clustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 53.21105960597211
+  - task:
+      type: PairClassification
+    dataset:
+      name: MTEB TwitterSemEval2015
+      type: mteb/twittersemeval2015-pairclassification
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.58419264469214
+    - type: cos_sim_ap
+      value: 78.55300004517404
+    - type: cos_sim_f1
+      value: 71.49673530889001
+    - type: cos_sim_precision
+      value: 68.20795400095831
+    - type: cos_sim_recall
+      value: 75.11873350923483
+    - type: dot_accuracy
+      value: 87.58419264469214
+    - type: dot_ap
+      value: 78.55297659559511
+    - type: dot_f1
+      value: 71.49673530889001
+    - type: dot_precision
+      value: 68.20795400095831
+    - type: dot_recall
+      value: 75.11873350923483
+    - type: euclidean_accuracy
+      value: 87.58419264469214
+    - type: euclidean_ap
+      value: 78.55300477331477
+    - type: euclidean_f1
+      value: 71.49673530889001
+    - type: euclidean_precision
+      value: 68.20795400095831
+    - type: euclidean_recall
+      value: 75.11873350923483
+    - type: manhattan_accuracy
+      value: 87.5663110210407
+    - type: manhattan_ap
+      value: 78.49982050876562
+    - type: manhattan_f1
+      value: 71.35488740722104
+    - type: manhattan_precision
+      value: 68.18946862226497
+    - type: manhattan_recall
+      value: 74.82849604221636
+    - type: max_accuracy
+      value: 87.58419264469214
+    - type: max_ap
+      value: 78.55300477331477
+    - type: max_f1
+      value: 71.49673530889001
+  - task:
+      type: PairClassification
+    dataset:
+      name: MTEB TwitterURLCorpus
+      type: mteb/twitterurlcorpus-pairclassification
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 89.09069740365584
+    - type: cos_sim_ap
+      value: 86.22749303724757
+    - type: cos_sim_f1
+      value: 78.36863452005407
+    - type: cos_sim_precision
+      value: 76.49560117302053
+    - type: cos_sim_recall
+      value: 80.33569448721897
+    - type: dot_accuracy
+      value: 89.09069740365584
+    - type: dot_ap
+      value: 86.22750233655673
+    - type: dot_f1
+      value: 78.36863452005407
+    - type: dot_precision
+      value: 76.49560117302053
+    - type: dot_recall
+      value: 80.33569448721897
+    - type: euclidean_accuracy
+      value: 89.09069740365584
+    - type: euclidean_ap
+      value: 86.22749355597347
+    - type: euclidean_f1
+      value: 78.36863452005407
+    - type: euclidean_precision
+      value: 76.49560117302053
+    - type: euclidean_recall
+      value: 80.33569448721897
+    - type: manhattan_accuracy
+      value: 89.08293553770326
+    - type: manhattan_ap
+      value: 86.21913616084771
+    - type: manhattan_f1
+      value: 78.3907031479847
+    - type: manhattan_precision
+      value: 75.0352013517319
+    - type: manhattan_recall
+      value: 82.06036341238065
+    - type: max_accuracy
+      value: 89.09069740365584
+    - type: max_ap
+      value: 86.22750233655673
+    - type: max_f1
+      value: 78.3907031479847
 ---
-metadata
+
+# mlx-community/mxbai-embed-large-v1
+
+The Model [mlx-community/mxbai-embed-large-v1](https://huggingface.co/mlx-community/mxbai-embed-large-v1) was converted to MLX format from [mixedbread-ai/mxbai-embed-large-v1](https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1) using mlx-lm version **0.0.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-embeddings
+```
+
+```python
+from mlx_embeddings import load, generate
+import mlx.core as mx
+
+model, tokenizer = load("mlx-community/mxbai-embed-large-v1")
+
+# For text embeddings
+output = generate(model, processor, texts=["I like grapes", "I like fruits"])
+embeddings = output.text_embeds  # Normalized embeddings
+
+# Compute dot product between normalized embeddings
+similarity_matrix = mx.matmul(embeddings, embeddings.T)
+
+print("Similarity matrix between texts:")
+print(similarity_matrix)
+
+
+```

config.json

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+{
+    "architectures": [
+        "BertModel"
+    ],
+    "attention_probs_dropout_prob": 0.1,
+    "classifier_dropout": null,
+    "gradient_checkpointing": false,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.1,
+    "hidden_size": 1024,
+    "initializer_range": 0.02,
+    "intermediate_size": 4096,
+    "layer_norm_eps": 1e-12,
+    "max_position_embeddings": 512,
+    "model_type": "bert",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "pad_token_id": 0,
+    "position_embedding_type": "absolute",
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "torch_dtype": "float16",
+    "transformers_version": "4.38.2",
+    "type_vocab_size": 2,
+    "use_cache": false,
+    "vocab_size": 30522
+}

config_sentence_transformers.json

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+{
+  "__version__": {
+    "sentence_transformers": "2.5.1",
+    "transformers": "4.37.0",
+    "pytorch": "2.1.0+cu121"
+  },
+  "prompts": {
+    "query": "Represent this sentence for searching relevant passages: ",
+    "passage": ""
+  },
+  "default_prompt_name": null
+}

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modules.json

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sentence_bert_config.json

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special_tokens_map.json

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