MTEB scores

README.md

@@ -1,3 +1,3289 @@
 ---
-license: apache-2.0
+tags:
+- mteb
+model-index:
+- name: SFR-Embedding-Mistral
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 77.92537313432834
+    - type: ap
+      value: 40.86767661556651
+    - type: f1
+      value: 71.65758897929837
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 95.967
+    - type: ap
+      value: 94.46300829592593
+    - type: f1
+      value: 95.96507173189292
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 54.352000000000004
+    - type: f1
+      value: 53.636682615380174
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 43.314
+    - type: ndcg_at_2
+      value: 54.757
+    - type: ndcg_at_3
+      value: 58.84700000000001
+    - type: ndcg_at_5
+      value: 63.634
+    - type: ndcg_at_7
+      value: 65.741
+    - type: ndcg_at_10
+      value: 67.171
+    - type: ndcg_at_20
+      value: 68.585
+    - type: ndcg_at_30
+      value: 68.81
+    - type: ndcg_at_50
+      value: 68.932
+    - type: ndcg_at_70
+      value: 68.992
+    - type: ndcg_at_100
+      value: 69.014
+    - type: ndcg_at_200
+      value: 69.014
+    - type: ndcg_at_300
+      value: 69.014
+    - type: ndcg_at_500
+      value: 69.014
+    - type: ndcg_at_700
+      value: 69.014
+    - type: ndcg_at_1000
+      value: 69.014
+    - type: map_at_1
+      value: 43.314
+    - type: map_at_2
+      value: 52.383
+    - type: map_at_3
+      value: 55.108999999999995
+    - type: map_at_5
+      value: 57.772999999999996
+    - type: map_at_7
+      value: 58.718
+    - type: map_at_10
+      value: 59.256
+    - type: map_at_20
+      value: 59.668
+    - type: map_at_30
+      value: 59.709999999999994
+    - type: map_at_50
+      value: 59.727
+    - type: map_at_70
+      value: 59.733999999999995
+    - type: map_at_100
+      value: 59.73500000000001
+    - type: map_at_200
+      value: 59.73500000000001
+    - type: map_at_300
+      value: 59.73500000000001
+    - type: map_at_500
+      value: 59.73500000000001
+    - type: map_at_700
+      value: 59.73500000000001
+    - type: map_at_1000
+      value: 59.73500000000001
+    - type: recall_at_1
+      value: 43.314
+    - type: recall_at_2
+      value: 61.451
+    - type: recall_at_3
+      value: 69.63000000000001
+    - type: recall_at_5
+      value: 81.223
+    - type: recall_at_7
+      value: 87.33999999999999
+    - type: recall_at_10
+      value: 92.034
+    - type: recall_at_20
+      value: 97.44
+    - type: recall_at_30
+      value: 98.506
+    - type: recall_at_50
+      value: 99.14699999999999
+    - type: recall_at_70
+      value: 99.502
+    - type: recall_at_100
+      value: 99.644
+    - type: recall_at_200
+      value: 99.644
+    - type: recall_at_300
+      value: 99.644
+    - type: recall_at_500
+      value: 99.644
+    - type: recall_at_700
+      value: 99.644
+    - type: recall_at_1000
+      value: 99.644
+    - type: precision_at_1
+      value: 43.314
+    - type: precision_at_2
+      value: 30.725
+    - type: precision_at_3
+      value: 23.21
+    - type: precision_at_5
+      value: 16.245
+    - type: precision_at_7
+      value: 12.477
+    - type: precision_at_10
+      value: 9.203
+    - type: precision_at_20
+      value: 4.872
+    - type: precision_at_30
+      value: 3.2840000000000003
+    - type: precision_at_50
+      value: 1.983
+    - type: precision_at_70
+      value: 1.421
+    - type: precision_at_100
+      value: 0.996
+    - type: precision_at_200
+      value: 0.498
+    - type: precision_at_300
+      value: 0.332
+    - type: precision_at_500
+      value: 0.199
+    - type: precision_at_700
+      value: 0.14200000000000002
+    - type: precision_at_1000
+      value: 0.1
+    - type: mrr_at_1
+      value: 44.666
+    - type: mrr_at_2
+      value: 52.418
+    - type: mrr_at_3
+      value: 55.595000000000006
+    - type: mrr_at_5
+      value: 58.205
+    - type: mrr_at_7
+      value: 59.202999999999996
+    - type: mrr_at_10
+      value: 59.727
+    - type: mrr_at_20
+      value: 60.133
+    - type: mrr_at_30
+      value: 60.178
+    - type: mrr_at_50
+      value: 60.192
+    - type: mrr_at_70
+      value: 60.19799999999999
+    - type: mrr_at_100
+      value: 60.199999999999996
+    - type: mrr_at_200
+      value: 60.199999999999996
+    - type: mrr_at_300
+      value: 60.199999999999996
+    - type: mrr_at_500
+      value: 60.199999999999996
+    - type: mrr_at_700
+      value: 60.199999999999996
+    - type: mrr_at_1000
+      value: 60.199999999999996
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 52.07508593014336
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 47.381339333240675
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 67.58376647859171
+    - type: mrr
+      value: 80.56885635140483
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.40107280274783
+    - type: cos_sim_spearman
+      value: 86.07003345325681
+    - type: euclidean_pearson
+      value: 87.1726034325395
+    - type: euclidean_spearman
+      value: 86.07003345325681
+    - type: manhattan_pearson
+      value: 87.25660625029772
+    - type: manhattan_spearman
+      value: 86.3808839096893
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 88.81168831168831
+    - type: f1
+      value: 88.76514496560141
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 43.9382520874344
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 41.14351847240913
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 34.51166666666667
+    - type: ndcg_at_2
+      value: 38.51591666666667
+    - type: ndcg_at_3
+      value: 40.95083333333333
+    - type: ndcg_at_5
+      value: 43.580666666666666
+    - type: ndcg_at_7
+      value: 45.0625
+    - type: ndcg_at_10
+      value: 46.49083333333333
+    - type: ndcg_at_20
+      value: 48.731333333333325
+    - type: ndcg_at_30
+      value: 49.78666666666667
+    - type: ndcg_at_50
+      value: 50.84049999999999
+    - type: ndcg_at_70
+      value: 51.393750000000004
+    - type: ndcg_at_100
+      value: 51.883333333333326
+    - type: ndcg_at_200
+      value: 52.65225
+    - type: ndcg_at_300
+      value: 52.98241666666669
+    - type: ndcg_at_500
+      value: 53.28541666666668
+    - type: ndcg_at_700
+      value: 53.49241666666668
+    - type: ndcg_at_1000
+      value: 53.63758333333334
+    - type: map_at_1
+      value: 29.10075
+    - type: map_at_2
+      value: 34.636500000000005
+    - type: map_at_3
+      value: 36.92033333333333
+    - type: map_at_5
+      value: 38.81641666666666
+    - type: map_at_7
+      value: 39.635416666666664
+    - type: map_at_10
+      value: 40.294583333333335
+    - type: map_at_20
+      value: 41.07574999999999
+    - type: map_at_30
+      value: 41.333
+    - type: map_at_50
+      value: 41.529333333333334
+    - type: map_at_70
+      value: 41.606833333333334
+    - type: map_at_100
+      value: 41.66224999999999
+    - type: map_at_200
+      value: 41.72691666666666
+    - type: map_at_300
+      value: 41.746583333333334
+    - type: map_at_500
+      value: 41.75983333333333
+    - type: map_at_700
+      value: 41.76558333333333
+    - type: map_at_1000
+      value: 41.769000000000005
+    - type: recall_at_1
+      value: 29.10075
+    - type: recall_at_2
+      value: 39.07658333333333
+    - type: recall_at_3
+      value: 44.93591666666667
+    - type: recall_at_5
+      value: 51.66883333333333
+    - type: recall_at_7
+      value: 55.881000000000014
+    - type: recall_at_10
+      value: 60.34691666666667
+    - type: recall_at_20
+      value: 68.44016666666667
+    - type: recall_at_30
+      value: 72.90766666666667
+    - type: recall_at_50
+      value: 77.843
+    - type: recall_at_70
+      value: 80.70366666666668
+    - type: recall_at_100
+      value: 83.42866666666667
+    - type: recall_at_200
+      value: 88.06816666666668
+    - type: recall_at_300
+      value: 90.249
+    - type: recall_at_500
+      value: 92.37616666666668
+    - type: recall_at_700
+      value: 93.978
+    - type: recall_at_1000
+      value: 95.12791666666666
+    - type: precision_at_1
+      value: 34.51166666666667
+    - type: precision_at_2
+      value: 24.326333333333327
+    - type: precision_at_3
+      value: 19.099249999999998
+    - type: precision_at_5
+      value: 13.672666666666666
+    - type: precision_at_7
+      value: 10.772
+    - type: precision_at_10
+      value: 8.302166666666668
+    - type: precision_at_20
+      value: 4.8960833333333325
+    - type: precision_at_30
+      value: 3.551083333333333
+    - type: precision_at_50
+      value: 2.3386666666666662
+    - type: precision_at_70
+      value: 1.7605833333333334
+    - type: precision_at_100
+      value: 1.2965
+    - type: precision_at_200
+      value: 0.7106666666666668
+    - type: precision_at_300
+      value: 0.4955
+    - type: precision_at_500
+      value: 0.3106666666666667
+    - type: precision_at_700
+      value: 0.22791666666666668
+    - type: precision_at_1000
+      value: 0.1635833333333333
+    - type: mrr_at_1
+      value: 34.51166666666667
+    - type: mrr_at_2
+      value: 39.954249999999995
+    - type: mrr_at_3
+      value: 41.93741666666668
+    - type: mrr_at_5
+      value: 43.487166666666674
+    - type: mrr_at_7
+      value: 44.14983333333333
+    - type: mrr_at_10
+      value: 44.62766666666666
+    - type: mrr_at_20
+      value: 45.15291666666668
+    - type: mrr_at_30
+      value: 45.317
+    - type: mrr_at_50
+      value: 45.42875
+    - type: mrr_at_70
+      value: 45.46966666666667
+    - type: mrr_at_100
+      value: 45.49716666666667
+    - type: mrr_at_200
+      value: 45.525166666666664
+    - type: mrr_at_300
+      value: 45.53233333333335
+    - type: mrr_at_500
+      value: 45.5365
+    - type: mrr_at_700
+      value: 45.538583333333335
+    - type: mrr_at_1000
+      value: 45.539583333333326
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 35.179
+    - type: ndcg_at_2
+      value: 31.243
+    - type: ndcg_at_3
+      value: 30.562
+    - type: ndcg_at_5
+      value: 32.409
+    - type: ndcg_at_7
+      value: 34.525
+    - type: ndcg_at_10
+      value: 36.415
+    - type: ndcg_at_20
+      value: 39.443
+    - type: ndcg_at_30
+      value: 40.796
+    - type: ndcg_at_50
+      value: 42.16
+    - type: ndcg_at_70
+      value: 42.971
+    - type: ndcg_at_100
+      value: 43.691
+    - type: ndcg_at_200
+      value: 45.004
+    - type: ndcg_at_300
+      value: 45.527
+    - type: ndcg_at_500
+      value: 46.072
+    - type: ndcg_at_700
+      value: 46.387
+    - type: ndcg_at_1000
+      value: 46.663
+    - type: map_at_1
+      value: 15.692
+    - type: map_at_2
+      value: 20.116
+    - type: map_at_3
+      value: 22.6
+    - type: map_at_5
+      value: 24.701
+    - type: map_at_7
+      value: 25.934
+    - type: map_at_10
+      value: 26.843
+    - type: map_at_20
+      value: 27.975
+    - type: map_at_30
+      value: 28.372000000000003
+    - type: map_at_50
+      value: 28.671000000000003
+    - type: map_at_70
+      value: 28.803
+    - type: map_at_100
+      value: 28.895
+    - type: map_at_200
+      value: 29.011
+    - type: map_at_300
+      value: 29.042
+    - type: map_at_500
+      value: 29.065
+    - type: map_at_700
+      value: 29.075
+    - type: map_at_1000
+      value: 29.081000000000003
+    - type: recall_at_1
+      value: 15.692
+    - type: recall_at_2
+      value: 22.602
+    - type: recall_at_3
+      value: 27.814
+    - type: recall_at_5
+      value: 33.756
+    - type: recall_at_7
+      value: 38.073
+    - type: recall_at_10
+      value: 42.553000000000004
+    - type: recall_at_20
+      value: 51.121
+    - type: recall_at_30
+      value: 55.523999999999994
+    - type: recall_at_50
+      value: 60.586
+    - type: recall_at_70
+      value: 63.94
+    - type: recall_at_100
+      value: 67.134
+    - type: recall_at_200
+      value: 73.543
+    - type: recall_at_300
+      value: 76.372
+    - type: recall_at_500
+      value: 79.60199999999999
+    - type: recall_at_700
+      value: 81.536
+    - type: recall_at_1000
+      value: 83.37400000000001
+    - type: precision_at_1
+      value: 35.179
+    - type: precision_at_2
+      value: 27.199
+    - type: precision_at_3
+      value: 22.953000000000003
+    - type: precision_at_5
+      value: 17.224999999999998
+    - type: precision_at_7
+      value: 14.238999999999999
+    - type: precision_at_10
+      value: 11.303
+    - type: precision_at_20
+      value: 6.954000000000001
+    - type: precision_at_30
+      value: 5.116
+    - type: precision_at_50
+      value: 3.395
+    - type: precision_at_70
+      value: 2.579
+    - type: precision_at_100
+      value: 1.9109999999999998
+    - type: precision_at_200
+      value: 1.065
+    - type: precision_at_300
+      value: 0.743
+    - type: precision_at_500
+      value: 0.46699999999999997
+    - type: precision_at_700
+      value: 0.344
+    - type: precision_at_1000
+      value: 0.247
+    - type: mrr_at_1
+      value: 35.179
+    - type: mrr_at_2
+      value: 41.792
+    - type: mrr_at_3
+      value: 44.484
+    - type: mrr_at_5
+      value: 46.39
+    - type: mrr_at_7
+      value: 47.125
+    - type: mrr_at_10
+      value: 47.711999999999996
+    - type: mrr_at_20
+      value: 48.214
+    - type: mrr_at_30
+      value: 48.325
+    - type: mrr_at_50
+      value: 48.392
+    - type: mrr_at_70
+      value: 48.418
+    - type: mrr_at_100
+      value: 48.44
+    - type: mrr_at_200
+      value: 48.46
+    - type: mrr_at_300
+      value: 48.461999999999996
+    - type: mrr_at_500
+      value: 48.466
+    - type: mrr_at_700
+      value: 48.466
+    - type: mrr_at_1000
+      value: 48.467
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 62.375
+    - type: ndcg_at_2
+      value: 56.286
+    - type: ndcg_at_3
+      value: 53.665
+    - type: ndcg_at_5
+      value: 51.139
+    - type: ndcg_at_7
+      value: 49.873
+    - type: ndcg_at_10
+      value: 49.056
+    - type: ndcg_at_20
+      value: 48.783
+    - type: ndcg_at_30
+      value: 49.166
+    - type: ndcg_at_50
+      value: 51.141999999999996
+    - type: ndcg_at_70
+      value: 52.774
+    - type: ndcg_at_100
+      value: 54.403
+    - type: ndcg_at_200
+      value: 57.419
+    - type: ndcg_at_300
+      value: 58.778
+    - type: ndcg_at_500
+      value: 60.228
+    - type: ndcg_at_700
+      value: 61.07599999999999
+    - type: ndcg_at_1000
+      value: 61.846000000000004
+    - type: map_at_1
+      value: 10.359
+    - type: map_at_2
+      value: 14.446
+    - type: map_at_3
+      value: 16.689
+    - type: map_at_5
+      value: 20.096
+    - type: map_at_7
+      value: 22.247
+    - type: map_at_10
+      value: 24.468999999999998
+    - type: map_at_20
+      value: 28.938000000000002
+    - type: map_at_30
+      value: 31.134
+    - type: map_at_50
+      value: 33.403
+    - type: map_at_70
+      value: 34.486
+    - type: map_at_100
+      value: 35.337
+    - type: map_at_200
+      value: 36.364999999999995
+    - type: map_at_300
+      value: 36.735
+    - type: map_at_500
+      value: 37.057
+    - type: map_at_700
+      value: 37.225
+    - type: map_at_1000
+      value: 37.379
+    - type: recall_at_1
+      value: 10.359
+    - type: recall_at_2
+      value: 14.945
+    - type: recall_at_3
+      value: 17.694
+    - type: recall_at_5
+      value: 22.677
+    - type: recall_at_7
+      value: 26.131
+    - type: recall_at_10
+      value: 30.053
+    - type: recall_at_20
+      value: 39.518
+    - type: recall_at_30
+      value: 44.925
+    - type: recall_at_50
+      value: 52.154
+    - type: recall_at_70
+      value: 56.729
+    - type: recall_at_100
+      value: 61.18900000000001
+    - type: recall_at_200
+      value: 70.407
+    - type: recall_at_300
+      value: 74.412
+    - type: recall_at_500
+      value: 78.891
+    - type: recall_at_700
+      value: 81.74
+    - type: recall_at_1000
+      value: 84.253
+    - type: precision_at_1
+      value: 75.0
+    - type: precision_at_2
+      value: 64.125
+    - type: precision_at_3
+      value: 57.833
+    - type: precision_at_5
+      value: 50.24999999999999
+    - type: precision_at_7
+      value: 44.75
+    - type: precision_at_10
+      value: 39.75
+    - type: precision_at_20
+      value: 30.412
+    - type: precision_at_30
+      value: 25.141999999999996
+    - type: precision_at_50
+      value: 19.2
+    - type: precision_at_70
+      value: 15.729000000000001
+    - type: precision_at_100
+      value: 12.552
+    - type: precision_at_200
+      value: 7.866
+    - type: precision_at_300
+      value: 5.9270000000000005
+    - type: precision_at_500
+      value: 4.1129999999999995
+    - type: precision_at_700
+      value: 3.2460000000000004
+    - type: precision_at_1000
+      value: 2.5260000000000002
+    - type: mrr_at_1
+      value: 75.0
+    - type: mrr_at_2
+      value: 78.625
+    - type: mrr_at_3
+      value: 79.708
+    - type: mrr_at_5
+      value: 80.446
+    - type: mrr_at_7
+      value: 80.862
+    - type: mrr_at_10
+      value: 81.161
+    - type: mrr_at_20
+      value: 81.3
+    - type: mrr_at_30
+      value: 81.348
+    - type: mrr_at_50
+      value: 81.361
+    - type: mrr_at_70
+      value: 81.361
+    - type: mrr_at_100
+      value: 81.361
+    - type: mrr_at_200
+      value: 81.367
+    - type: mrr_at_300
+      value: 81.367
+    - type: mrr_at_500
+      value: 81.368
+    - type: mrr_at_700
+      value: 81.368
+    - type: mrr_at_1000
+      value: 81.368
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 50.239999999999995
+    - type: f1
+      value: 46.42361822342044
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 83.723
+    - type: ndcg_at_2
+      value: 86.777
+    - type: ndcg_at_3
+      value: 87.997
+    - type: ndcg_at_5
+      value: 88.864
+    - type: ndcg_at_7
+      value: 89.143
+    - type: ndcg_at_10
+      value: 89.349
+    - type: ndcg_at_20
+      value: 89.709
+    - type: ndcg_at_30
+      value: 89.82900000000001
+    - type: ndcg_at_50
+      value: 89.923
+    - type: ndcg_at_70
+      value: 89.982
+    - type: ndcg_at_100
+      value: 90.026
+    - type: ndcg_at_200
+      value: 90.10000000000001
+    - type: ndcg_at_300
+      value: 90.12599999999999
+    - type: ndcg_at_500
+      value: 90.17399999999999
+    - type: ndcg_at_700
+      value: 90.19
+    - type: ndcg_at_1000
+      value: 90.208
+    - type: map_at_1
+      value: 77.64999999999999
+    - type: map_at_2
+      value: 83.769
+    - type: map_at_3
+      value: 85.041
+    - type: map_at_5
+      value: 85.736
+    - type: map_at_7
+      value: 85.924
+    - type: map_at_10
+      value: 86.032
+    - type: map_at_20
+      value: 86.177
+    - type: map_at_30
+      value: 86.213
+    - type: map_at_50
+      value: 86.233
+    - type: map_at_70
+      value: 86.24300000000001
+    - type: map_at_100
+      value: 86.249
+    - type: map_at_200
+      value: 86.256
+    - type: map_at_300
+      value: 86.258
+    - type: map_at_500
+      value: 86.26
+    - type: map_at_700
+      value: 86.26
+    - type: map_at_1000
+      value: 86.261
+    - type: recall_at_1
+      value: 77.64999999999999
+    - type: recall_at_2
+      value: 88.53999999999999
+    - type: recall_at_3
+      value: 91.696
+    - type: recall_at_5
+      value: 93.916
+    - type: recall_at_7
+      value: 94.731
+    - type: recall_at_10
+      value: 95.318
+    - type: recall_at_20
+      value: 96.507
+    - type: recall_at_30
+      value: 96.956
+    - type: recall_at_50
+      value: 97.34899999999999
+    - type: recall_at_70
+      value: 97.61
+    - type: recall_at_100
+      value: 97.83
+    - type: recall_at_200
+      value: 98.223
+    - type: recall_at_300
+      value: 98.374
+    - type: recall_at_500
+      value: 98.67899999999999
+    - type: recall_at_700
+      value: 98.787
+    - type: recall_at_1000
+      value: 98.919
+    - type: precision_at_1
+      value: 83.723
+    - type: precision_at_2
+      value: 48.425000000000004
+    - type: precision_at_3
+      value: 33.638
+    - type: precision_at_5
+      value: 20.843
+    - type: precision_at_7
+      value: 15.079
+    - type: precision_at_10
+      value: 10.674999999999999
+    - type: precision_at_20
+      value: 5.457999999999999
+    - type: precision_at_30
+      value: 3.6740000000000004
+    - type: precision_at_50
+      value: 2.2239999999999998
+    - type: precision_at_70
+      value: 1.599
+    - type: precision_at_100
+      value: 1.125
+    - type: precision_at_200
+      value: 0.5680000000000001
+    - type: precision_at_300
+      value: 0.38
+    - type: precision_at_500
+      value: 0.22999999999999998
+    - type: precision_at_700
+      value: 0.165
+    - type: precision_at_1000
+      value: 0.116
+    - type: mrr_at_1
+      value: 83.723
+    - type: mrr_at_2
+      value: 88.794
+    - type: mrr_at_3
+      value: 89.679
+    - type: mrr_at_5
+      value: 90.049
+    - type: mrr_at_7
+      value: 90.129
+    - type: mrr_at_10
+      value: 90.167
+    - type: mrr_at_20
+      value: 90.208
+    - type: mrr_at_30
+      value: 90.214
+    - type: mrr_at_50
+      value: 90.217
+    - type: mrr_at_70
+      value: 90.218
+    - type: mrr_at_100
+      value: 90.21900000000001
+    - type: mrr_at_200
+      value: 90.21900000000001
+    - type: mrr_at_300
+      value: 90.21900000000001
+    - type: mrr_at_500
+      value: 90.21900000000001
+    - type: mrr_at_700
+      value: 90.21900000000001
+    - type: mrr_at_1000
+      value: 90.21900000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 59.721999999999994
+    - type: ndcg_at_2
+      value: 56.85
+    - type: ndcg_at_3
+      value: 56.462999999999994
+    - type: ndcg_at_5
+      value: 57.75599999999999
+    - type: ndcg_at_7
+      value: 59.109
+    - type: ndcg_at_10
+      value: 60.402
+    - type: ndcg_at_20
+      value: 63.071999999999996
+    - type: ndcg_at_30
+      value: 64.302
+    - type: ndcg_at_50
+      value: 65.619
+    - type: ndcg_at_70
+      value: 66.161
+    - type: ndcg_at_100
+      value: 66.645
+    - type: ndcg_at_200
+      value: 67.353
+    - type: ndcg_at_300
+      value: 67.646
+    - type: ndcg_at_500
+      value: 67.852
+    - type: ndcg_at_700
+      value: 67.974
+    - type: ndcg_at_1000
+      value: 68.084
+    - type: map_at_1
+      value: 31.56
+    - type: map_at_2
+      value: 42.093
+    - type: map_at_3
+      value: 46.177
+    - type: map_at_5
+      value: 49.78
+    - type: map_at_7
+      value: 51.410999999999994
+    - type: map_at_10
+      value: 52.524
+    - type: map_at_20
+      value: 53.815000000000005
+    - type: map_at_30
+      value: 54.201
+    - type: map_at_50
+      value: 54.531
+    - type: map_at_70
+      value: 54.625
+    - type: map_at_100
+      value: 54.686
+    - type: map_at_200
+      value: 54.757999999999996
+    - type: map_at_300
+      value: 54.776
+    - type: map_at_500
+      value: 54.786
+    - type: map_at_700
+      value: 54.790000000000006
+    - type: map_at_1000
+      value: 54.793000000000006
+    - type: recall_at_1
+      value: 31.56
+    - type: recall_at_2
+      value: 44.858
+    - type: recall_at_3
+      value: 51.11
+    - type: recall_at_5
+      value: 58.394
+    - type: recall_at_7
+      value: 63.001
+    - type: recall_at_10
+      value: 66.81200000000001
+    - type: recall_at_20
+      value: 74.901
+    - type: recall_at_30
+      value: 79.218
+    - type: recall_at_50
+      value: 84.49
+    - type: recall_at_70
+      value: 87.003
+    - type: recall_at_100
+      value: 89.345
+    - type: recall_at_200
+      value: 93.173
+    - type: recall_at_300
+      value: 94.906
+    - type: recall_at_500
+      value: 96.223
+    - type: recall_at_700
+      value: 97.043
+    - type: recall_at_1000
+      value: 97.785
+    - type: precision_at_1
+      value: 59.721999999999994
+    - type: precision_at_2
+      value: 46.682
+    - type: precision_at_3
+      value: 37.602999999999994
+    - type: precision_at_5
+      value: 27.500000000000004
+    - type: precision_at_7
+      value: 21.847
+    - type: precision_at_10
+      value: 16.667
+    - type: precision_at_20
+      value: 9.545
+    - type: precision_at_30
+      value: 6.795
+    - type: precision_at_50
+      value: 4.38
+    - type: precision_at_70
+      value: 3.221
+    - type: precision_at_100
+      value: 2.319
+    - type: precision_at_200
+      value: 1.2149999999999999
+    - type: precision_at_300
+      value: 0.827
+    - type: precision_at_500
+      value: 0.504
+    - type: precision_at_700
+      value: 0.364
+    - type: precision_at_1000
+      value: 0.257
+    - type: mrr_at_1
+      value: 59.721999999999994
+    - type: mrr_at_2
+      value: 64.506
+    - type: mrr_at_3
+      value: 65.792
+    - type: mrr_at_5
+      value: 66.965
+    - type: mrr_at_7
+      value: 67.34700000000001
+    - type: mrr_at_10
+      value: 67.57
+    - type: mrr_at_20
+      value: 67.896
+    - type: mrr_at_30
+      value: 68.008
+    - type: mrr_at_50
+      value: 68.083
+    - type: mrr_at_70
+      value: 68.105
+    - type: mrr_at_100
+      value: 68.116
+    - type: mrr_at_200
+      value: 68.12700000000001
+    - type: mrr_at_300
+      value: 68.13
+    - type: mrr_at_500
+      value: 68.132
+    - type: mrr_at_700
+      value: 68.133
+    - type: mrr_at_1000
+      value: 68.133
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 81.796
+    - type: ndcg_at_2
+      value: 67.999
+    - type: ndcg_at_3
+      value: 72.15599999999999
+    - type: ndcg_at_5
+      value: 74.99900000000001
+    - type: ndcg_at_7
+      value: 76.179
+    - type: ndcg_at_10
+      value: 77.022
+    - type: ndcg_at_20
+      value: 78.173
+    - type: ndcg_at_30
+      value: 78.648
+    - type: ndcg_at_50
+      value: 79.104
+    - type: ndcg_at_70
+      value: 79.335
+    - type: ndcg_at_100
+      value: 79.56
+    - type: ndcg_at_200
+      value: 79.911
+    - type: ndcg_at_300
+      value: 80.045
+    - type: ndcg_at_500
+      value: 80.19500000000001
+    - type: ndcg_at_700
+      value: 80.281
+    - type: ndcg_at_1000
+      value: 80.35
+    - type: map_at_1
+      value: 40.898
+    - type: map_at_2
+      value: 62.016000000000005
+    - type: map_at_3
+      value: 66.121
+    - type: map_at_5
+      value: 68.471
+    - type: map_at_7
+      value: 69.261
+    - type: map_at_10
+      value: 69.738
+    - type: map_at_20
+      value: 70.208
+    - type: map_at_30
+      value: 70.343
+    - type: map_at_50
+      value: 70.43700000000001
+    - type: map_at_70
+      value: 70.47099999999999
+    - type: map_at_100
+      value: 70.498
+    - type: map_at_200
+      value: 70.526
+    - type: map_at_300
+      value: 70.533
+    - type: map_at_500
+      value: 70.538
+    - type: map_at_700
+      value: 70.541
+    - type: map_at_1000
+      value: 70.542
+    - type: recall_at_1
+      value: 40.898
+    - type: recall_at_2
+      value: 63.964
+    - type: recall_at_3
+      value: 70.743
+    - type: recall_at_5
+      value: 76.36699999999999
+    - type: recall_at_7
+      value: 79.142
+    - type: recall_at_10
+      value: 81.404
+    - type: recall_at_20
+      value: 85.111
+    - type: recall_at_30
+      value: 86.92800000000001
+    - type: recall_at_50
+      value: 88.899
+    - type: recall_at_70
+      value: 90.01400000000001
+    - type: recall_at_100
+      value: 91.19500000000001
+    - type: recall_at_200
+      value: 93.234
+    - type: recall_at_300
+      value: 94.105
+    - type: recall_at_500
+      value: 95.159
+    - type: recall_at_700
+      value: 95.8
+    - type: recall_at_1000
+      value: 96.34700000000001
+    - type: precision_at_1
+      value: 81.796
+    - type: precision_at_2
+      value: 63.964
+    - type: precision_at_3
+      value: 47.162
+    - type: precision_at_5
+      value: 30.547
+    - type: precision_at_7
+      value: 22.612
+    - type: precision_at_10
+      value: 16.281000000000002
+    - type: precision_at_20
+      value: 8.511000000000001
+    - type: precision_at_30
+      value: 5.795
+    - type: precision_at_50
+      value: 3.556
+    - type: precision_at_70
+      value: 2.572
+    - type: precision_at_100
+      value: 1.8239999999999998
+    - type: precision_at_200
+      value: 0.932
+    - type: precision_at_300
+      value: 0.627
+    - type: precision_at_500
+      value: 0.381
+    - type: precision_at_700
+      value: 0.27399999999999997
+    - type: precision_at_1000
+      value: 0.193
+    - type: mrr_at_1
+      value: 81.796
+    - type: mrr_at_2
+      value: 85.69200000000001
+    - type: mrr_at_3
+      value: 86.52
+    - type: mrr_at_5
+      value: 86.973
+    - type: mrr_at_7
+      value: 87.13300000000001
+    - type: mrr_at_10
+      value: 87.208
+    - type: mrr_at_20
+      value: 87.303
+    - type: mrr_at_30
+      value: 87.32799999999999
+    - type: mrr_at_50
+      value: 87.347
+    - type: mrr_at_70
+      value: 87.35199999999999
+    - type: mrr_at_100
+      value: 87.355
+    - type: mrr_at_200
+      value: 87.357
+    - type: mrr_at_300
+      value: 87.357
+    - type: mrr_at_500
+      value: 87.358
+    - type: mrr_at_700
+      value: 87.358
+    - type: mrr_at_1000
+      value: 87.358
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 94.79200000000002
+    - type: ap
+      value: 92.54484356773553
+    - type: f1
+      value: 94.78965313682525
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 24.398
+    - type: ndcg_at_2
+      value: 31.336000000000002
+    - type: ndcg_at_3
+      value: 35.266999999999996
+    - type: ndcg_at_5
+      value: 39.356
+    - type: ndcg_at_7
+      value: 41.562
+    - type: ndcg_at_10
+      value: 43.408
+    - type: ndcg_at_20
+      value: 46.107
+    - type: ndcg_at_30
+      value: 47.164
+    - type: ndcg_at_50
+      value: 48.126000000000005
+    - type: ndcg_at_70
+      value: 48.626999999999995
+    - type: ndcg_at_100
+      value: 49.043
+    - type: ndcg_at_200
+      value: 49.575
+    - type: ndcg_at_300
+      value: 49.794
+    - type: ndcg_at_500
+      value: 49.942
+    - type: ndcg_at_700
+      value: 50.014
+    - type: ndcg_at_1000
+      value: 50.077000000000005
+    - type: map_at_1
+      value: 23.723
+    - type: map_at_2
+      value: 29.593000000000004
+    - type: map_at_3
+      value: 32.273
+    - type: map_at_5
+      value: 34.587
+    - type: map_at_7
+      value: 35.589999999999996
+    - type: map_at_10
+      value: 36.296
+    - type: map_at_20
+      value: 37.059999999999995
+    - type: map_at_30
+      value: 37.265
+    - type: map_at_50
+      value: 37.402
+    - type: map_at_70
+      value: 37.454
+    - type: map_at_100
+      value: 37.486999999999995
+    - type: map_at_200
+      value: 37.516
+    - type: map_at_300
+      value: 37.524
+    - type: map_at_500
+      value: 37.528
+    - type: map_at_700
+      value: 37.529
+    - type: map_at_1000
+      value: 37.53
+    - type: recall_at_1
+      value: 23.723
+    - type: recall_at_2
+      value: 35.355
+    - type: recall_at_3
+      value: 43.22
+    - type: recall_at_5
+      value: 53.025
+    - type: recall_at_7
+      value: 59.327
+    - type: recall_at_10
+      value: 65.302
+    - type: recall_at_20
+      value: 75.765
+    - type: recall_at_30
+      value: 80.632
+    - type: recall_at_50
+      value: 85.63499999999999
+    - type: recall_at_70
+      value: 88.554
+    - type: recall_at_100
+      value: 91.16300000000001
+    - type: recall_at_200
+      value: 94.85
+    - type: recall_at_300
+      value: 96.532
+    - type: recall_at_500
+      value: 97.751
+    - type: recall_at_700
+      value: 98.383
+    - type: recall_at_1000
+      value: 98.97
+    - type: precision_at_1
+      value: 24.398
+    - type: precision_at_2
+      value: 18.274
+    - type: precision_at_3
+      value: 14.951999999999998
+    - type: precision_at_5
+      value: 11.052
+    - type: precision_at_7
+      value: 8.84
+    - type: precision_at_10
+      value: 6.8309999999999995
+    - type: precision_at_20
+      value: 3.978
+    - type: precision_at_30
+      value: 2.827
+    - type: precision_at_50
+      value: 1.807
+    - type: precision_at_70
+      value: 1.336
+    - type: precision_at_100
+      value: 0.964
+    - type: precision_at_200
+      value: 0.502
+    - type: precision_at_300
+      value: 0.34099999999999997
+    - type: precision_at_500
+      value: 0.208
+    - type: precision_at_700
+      value: 0.15
+    - type: precision_at_1000
+      value: 0.105
+    - type: mrr_at_1
+      value: 24.398
+    - type: mrr_at_2
+      value: 30.351
+    - type: mrr_at_3
+      value: 33.001000000000005
+    - type: mrr_at_5
+      value: 35.228
+    - type: mrr_at_7
+      value: 36.223
+    - type: mrr_at_10
+      value: 36.903999999999996
+    - type: mrr_at_20
+      value: 37.631
+    - type: mrr_at_30
+      value: 37.830000000000005
+    - type: mrr_at_50
+      value: 37.955
+    - type: mrr_at_70
+      value: 38.003
+    - type: mrr_at_100
+      value: 38.033
+    - type: mrr_at_200
+      value: 38.059
+    - type: mrr_at_300
+      value: 38.066
+    - type: mrr_at_500
+      value: 38.068999999999996
+    - type: mrr_at_700
+      value: 38.07
+    - type: mrr_at_1000
+      value: 38.07
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 96.35658914728683
+    - type: f1
+      value: 96.15039630903114
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 86.29730962152303
+    - type: f1
+      value: 71.12166316567485
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 79.98991257565568
+    - type: f1
+      value: 77.41680115095276
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 82.1990585070612
+    - type: f1
+      value: 82.23719179179362
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 40.03019554933584
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 38.999760551497815
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 32.72383151953079
+    - type: mrr
+      value: 33.93989699030721
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 51.858000000000004
+    - type: ndcg_at_2
+      value: 49.675999999999995
+    - type: ndcg_at_3
+      value: 47.519
+    - type: ndcg_at_5
+      value: 45.198
+    - type: ndcg_at_7
+      value: 43.504
+    - type: ndcg_at_10
+      value: 41.88
+    - type: ndcg_at_20
+      value: 39.122
+    - type: ndcg_at_30
+      value: 37.95
+    - type: ndcg_at_50
+      value: 37.602999999999994
+    - type: ndcg_at_70
+      value: 37.836
+    - type: ndcg_at_100
+      value: 38.493
+    - type: ndcg_at_200
+      value: 40.187
+    - type: ndcg_at_300
+      value: 41.524
+    - type: ndcg_at_500
+      value: 43.657000000000004
+    - type: ndcg_at_700
+      value: 45.234
+    - type: ndcg_at_1000
+      value: 47.047
+    - type: map_at_1
+      value: 6.392
+    - type: map_at_2
+      value: 10.113
+    - type: map_at_3
+      value: 11.543000000000001
+    - type: map_at_5
+      value: 13.729
+    - type: map_at_7
+      value: 14.985000000000001
+    - type: map_at_10
+      value: 16.217000000000002
+    - type: map_at_20
+      value: 18.106
+    - type: map_at_30
+      value: 18.878
+    - type: map_at_50
+      value: 19.822
+    - type: map_at_70
+      value: 20.352999999999998
+    - type: map_at_100
+      value: 20.827
+    - type: map_at_200
+      value: 21.512
+    - type: map_at_300
+      value: 21.826
+    - type: map_at_500
+      value: 22.155
+    - type: map_at_700
+      value: 22.349
+    - type: map_at_1000
+      value: 22.531000000000002
+    - type: recall_at_1
+      value: 6.392
+    - type: recall_at_2
+      value: 11.215
+    - type: recall_at_3
+      value: 13.231000000000002
+    - type: recall_at_5
+      value: 16.66
+    - type: recall_at_7
+      value: 18.802
+    - type: recall_at_10
+      value: 21.185000000000002
+    - type: recall_at_20
+      value: 25.35
+    - type: recall_at_30
+      value: 27.91
+    - type: recall_at_50
+      value: 32.845
+    - type: recall_at_70
+      value: 35.789
+    - type: recall_at_100
+      value: 39.247
+    - type: recall_at_200
+      value: 46.655
+    - type: recall_at_300
+      value: 51.43299999999999
+    - type: recall_at_500
+      value: 59.472
+    - type: recall_at_700
+      value: 64.742
+    - type: recall_at_1000
+      value: 70.97099999999999
+    - type: precision_at_1
+      value: 53.559999999999995
+    - type: precision_at_2
+      value: 48.762
+    - type: precision_at_3
+      value: 44.169000000000004
+    - type: precision_at_5
+      value: 39.071
+    - type: precision_at_7
+      value: 35.161
+    - type: precision_at_10
+      value: 31.238
+    - type: precision_at_20
+      value: 23.064999999999998
+    - type: precision_at_30
+      value: 18.844
+    - type: precision_at_50
+      value: 14.601
+    - type: precision_at_70
+      value: 12.088000000000001
+    - type: precision_at_100
+      value: 9.844999999999999
+    - type: precision_at_200
+      value: 6.358
+    - type: precision_at_300
+      value: 4.915
+    - type: precision_at_500
+      value: 3.531
+    - type: precision_at_700
+      value: 2.8649999999999998
+    - type: precision_at_1000
+      value: 2.289
+    - type: mrr_at_1
+      value: 54.17999999999999
+    - type: mrr_at_2
+      value: 59.288
+    - type: mrr_at_3
+      value: 60.836
+    - type: mrr_at_5
+      value: 62.275999999999996
+    - type: mrr_at_7
+      value: 62.688
+    - type: mrr_at_10
+      value: 62.865
+    - type: mrr_at_20
+      value: 63.11
+    - type: mrr_at_30
+      value: 63.193999999999996
+    - type: mrr_at_50
+      value: 63.258
+    - type: mrr_at_70
+      value: 63.278
+    - type: mrr_at_100
+      value: 63.297000000000004
+    - type: mrr_at_200
+      value: 63.315999999999995
+    - type: mrr_at_300
+      value: 63.318
+    - type: mrr_at_500
+      value: 63.32299999999999
+    - type: mrr_at_700
+      value: 63.324000000000005
+    - type: mrr_at_1000
+      value: 63.324999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 50.897999999999996
+    - type: ndcg_at_2
+      value: 59.126
+    - type: ndcg_at_3
+      value: 63.093999999999994
+    - type: ndcg_at_5
+      value: 67.197
+    - type: ndcg_at_7
+      value: 68.719
+    - type: ndcg_at_10
+      value: 69.915
+    - type: ndcg_at_20
+      value: 71.229
+    - type: ndcg_at_30
+      value: 71.667
+    - type: ndcg_at_50
+      value: 71.98
+    - type: ndcg_at_70
+      value: 72.127
+    - type: ndcg_at_100
+      value: 72.217
+    - type: ndcg_at_200
+      value: 72.319
+    - type: ndcg_at_300
+      value: 72.347
+    - type: ndcg_at_500
+      value: 72.37
+    - type: ndcg_at_700
+      value: 72.379
+    - type: ndcg_at_1000
+      value: 72.381
+    - type: map_at_1
+      value: 45.297
+    - type: map_at_2
+      value: 55.596000000000004
+    - type: map_at_3
+      value: 58.724
+    - type: map_at_5
+      value: 61.387
+    - type: map_at_7
+      value: 62.173
+    - type: map_at_10
+      value: 62.69
+    - type: map_at_20
+      value: 63.125
+    - type: map_at_30
+      value: 63.223
+    - type: map_at_50
+      value: 63.27700000000001
+    - type: map_at_70
+      value: 63.295
+    - type: map_at_100
+      value: 63.303
+    - type: map_at_200
+      value: 63.31
+    - type: map_at_300
+      value: 63.31099999999999
+    - type: map_at_500
+      value: 63.312000000000005
+    - type: map_at_700
+      value: 63.312000000000005
+    - type: map_at_1000
+      value: 63.312000000000005
+    - type: recall_at_1
+      value: 45.297
+    - type: recall_at_2
+      value: 63.866
+    - type: recall_at_3
+      value: 71.898
+    - type: recall_at_5
+      value: 81.16600000000001
+    - type: recall_at_7
+      value: 85.301
+    - type: recall_at_10
+      value: 88.94800000000001
+    - type: recall_at_20
+      value: 93.719
+    - type: recall_at_30
+      value: 95.628
+    - type: recall_at_50
+      value: 97.14699999999999
+    - type: recall_at_70
+      value: 97.955
+    - type: recall_at_100
+      value: 98.48599999999999
+    - type: recall_at_200
+      value: 99.157
+    - type: recall_at_300
+      value: 99.355
+    - type: recall_at_500
+      value: 99.53699999999999
+    - type: recall_at_700
+      value: 99.62299999999999
+    - type: recall_at_1000
+      value: 99.638
+    - type: precision_at_1
+      value: 50.897999999999996
+    - type: precision_at_2
+      value: 36.703
+    - type: precision_at_3
+      value: 27.926000000000002
+    - type: precision_at_5
+      value: 19.276
+    - type: precision_at_7
+      value: 14.533999999999999
+    - type: precision_at_10
+      value: 10.678
+    - type: precision_at_20
+      value: 5.663
+    - type: precision_at_30
+      value: 3.8600000000000003
+    - type: precision_at_50
+      value: 2.358
+    - type: precision_at_70
+      value: 1.7000000000000002
+    - type: precision_at_100
+      value: 1.198
+    - type: precision_at_200
+      value: 0.603
+    - type: precision_at_300
+      value: 0.40299999999999997
+    - type: precision_at_500
+      value: 0.242
+    - type: precision_at_700
+      value: 0.173
+    - type: precision_at_1000
+      value: 0.121
+    - type: mrr_at_1
+      value: 50.897999999999996
+    - type: mrr_at_2
+      value: 59.994
+    - type: mrr_at_3
+      value: 62.553000000000004
+    - type: mrr_at_5
+      value: 64.307
+    - type: mrr_at_7
+      value: 64.864
+    - type: mrr_at_10
+      value: 65.22200000000001
+    - type: mrr_at_20
+      value: 65.499
+    - type: mrr_at_30
+      value: 65.561
+    - type: mrr_at_50
+      value: 65.592
+    - type: mrr_at_70
+      value: 65.602
+    - type: mrr_at_100
+      value: 65.607
+    - type: mrr_at_200
+      value: 65.61099999999999
+    - type: mrr_at_300
+      value: 65.61200000000001
+    - type: mrr_at_500
+      value: 65.61200000000001
+    - type: mrr_at_700
+      value: 65.61200000000001
+    - type: mrr_at_1000
+      value: 65.61200000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 82.96
+    - type: ndcg_at_2
+      value: 85.614
+    - type: ndcg_at_3
+      value: 87.19
+    - type: ndcg_at_5
+      value: 88.654
+    - type: ndcg_at_7
+      value: 89.287
+    - type: ndcg_at_10
+      value: 89.785
+    - type: ndcg_at_20
+      value: 90.384
+    - type: ndcg_at_30
+      value: 90.589
+    - type: ndcg_at_50
+      value: 90.738
+    - type: ndcg_at_70
+      value: 90.789
+    - type: ndcg_at_100
+      value: 90.824
+    - type: ndcg_at_200
+      value: 90.869
+    - type: ndcg_at_300
+      value: 90.881
+    - type: ndcg_at_500
+      value: 90.886
+    - type: ndcg_at_700
+      value: 90.889
+    - type: ndcg_at_1000
+      value: 90.889
+    - type: map_at_1
+      value: 72.152
+    - type: map_at_2
+      value: 80.818
+    - type: map_at_3
+      value: 83.462
+    - type: map_at_5
+      value: 85.286
+    - type: map_at_7
+      value: 85.921
+    - type: map_at_10
+      value: 86.334
+    - type: map_at_20
+      value: 86.737
+    - type: map_at_30
+      value: 86.847
+    - type: map_at_50
+      value: 86.911
+    - type: map_at_70
+      value: 86.932
+    - type: map_at_100
+      value: 86.943
+    - type: map_at_200
+      value: 86.953
+    - type: map_at_300
+      value: 86.955
+    - type: map_at_500
+      value: 86.956
+    - type: map_at_700
+      value: 86.956
+    - type: map_at_1000
+      value: 86.956
+    - type: recall_at_1
+      value: 72.152
+    - type: recall_at_2
+      value: 84.129
+    - type: recall_at_3
+      value: 88.87
+    - type: recall_at_5
+      value: 93.067
+    - type: recall_at_7
+      value: 94.882
+    - type: recall_at_10
+      value: 96.353
+    - type: recall_at_20
+      value: 98.26700000000001
+    - type: recall_at_30
+      value: 98.92999999999999
+    - type: recall_at_50
+      value: 99.441
+    - type: recall_at_70
+      value: 99.619
+    - type: recall_at_100
+      value: 99.748
+    - type: recall_at_200
+      value: 99.911
+    - type: recall_at_300
+      value: 99.956
+    - type: recall_at_500
+      value: 99.98
+    - type: recall_at_700
+      value: 99.991
+    - type: recall_at_1000
+      value: 99.996
+    - type: precision_at_1
+      value: 82.96
+    - type: precision_at_2
+      value: 52.175000000000004
+    - type: precision_at_3
+      value: 38.223
+    - type: precision_at_5
+      value: 25.056
+    - type: precision_at_7
+      value: 18.717
+    - type: precision_at_10
+      value: 13.614999999999998
+    - type: precision_at_20
+      value: 7.208
+    - type: precision_at_30
+      value: 4.928
+    - type: precision_at_50
+      value: 3.024
+    - type: precision_at_70
+      value: 2.183
+    - type: precision_at_100
+      value: 1.54
+    - type: precision_at_200
+      value: 0.779
+    - type: precision_at_300
+      value: 0.521
+    - type: precision_at_500
+      value: 0.313
+    - type: precision_at_700
+      value: 0.22399999999999998
+    - type: precision_at_1000
+      value: 0.157
+    - type: mrr_at_1
+      value: 82.96
+    - type: mrr_at_2
+      value: 87.005
+    - type: mrr_at_3
+      value: 88.07199999999999
+    - type: mrr_at_5
+      value: 88.634
+    - type: mrr_at_7
+      value: 88.793
+    - type: mrr_at_10
+      value: 88.87899999999999
+    - type: mrr_at_20
+      value: 88.94999999999999
+    - type: mrr_at_30
+      value: 88.96
+    - type: mrr_at_50
+      value: 88.965
+    - type: mrr_at_70
+      value: 88.966
+    - type: mrr_at_100
+      value: 88.967
+    - type: mrr_at_200
+      value: 88.967
+    - type: mrr_at_300
+      value: 88.967
+    - type: mrr_at_500
+      value: 88.967
+    - type: mrr_at_700
+      value: 88.967
+    - type: mrr_at_1000
+      value: 88.967
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 59.90388554491155
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 67.64232539036783
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 22.6
+    - type: ndcg_at_2
+      value: 20.355999999999998
+    - type: ndcg_at_3
+      value: 18.536
+    - type: ndcg_at_5
+      value: 16.523
+    - type: ndcg_at_7
+      value: 17.979
+    - type: ndcg_at_10
+      value: 19.908
+    - type: ndcg_at_20
+      value: 22.887
+    - type: ndcg_at_30
+      value: 24.43
+    - type: ndcg_at_50
+      value: 25.959
+    - type: ndcg_at_70
+      value: 26.989
+    - type: ndcg_at_100
+      value: 27.977
+    - type: ndcg_at_200
+      value: 29.831000000000003
+    - type: ndcg_at_300
+      value: 30.787
+    - type: ndcg_at_500
+      value: 31.974999999999998
+    - type: ndcg_at_700
+      value: 32.554
+    - type: ndcg_at_1000
+      value: 33.277
+    - type: map_at_1
+      value: 4.593
+    - type: map_at_2
+      value: 6.923
+    - type: map_at_3
+      value: 8.3
+    - type: map_at_5
+      value: 10.072000000000001
+    - type: map_at_7
+      value: 10.782
+    - type: map_at_10
+      value: 11.72
+    - type: map_at_20
+      value: 12.838
+    - type: map_at_30
+      value: 13.257
+    - type: map_at_50
+      value: 13.569
+    - type: map_at_70
+      value: 13.733
+    - type: map_at_100
+      value: 13.858999999999998
+    - type: map_at_200
+      value: 14.018
+    - type: map_at_300
+      value: 14.072999999999999
+    - type: map_at_500
+      value: 14.126
+    - type: map_at_700
+      value: 14.145
+    - type: map_at_1000
+      value: 14.161999999999999
+    - type: recall_at_1
+      value: 4.593
+    - type: recall_at_2
+      value: 7.997999999999999
+    - type: recall_at_3
+      value: 10.563
+    - type: recall_at_5
+      value: 14.907
+    - type: recall_at_7
+      value: 17.4
+    - type: recall_at_10
+      value: 21.18
+    - type: recall_at_20
+      value: 28.144999999999996
+    - type: recall_at_30
+      value: 32.462
+    - type: recall_at_50
+      value: 37.267
+    - type: recall_at_70
+      value: 40.875
+    - type: recall_at_100
+      value: 44.641999999999996
+    - type: recall_at_200
+      value: 52.573
+    - type: recall_at_300
+      value: 57.089999999999996
+    - type: recall_at_500
+      value: 63.14300000000001
+    - type: recall_at_700
+      value: 66.313
+    - type: recall_at_1000
+      value: 70.458
+    - type: precision_at_1
+      value: 22.6
+    - type: precision_at_2
+      value: 19.7
+    - type: precision_at_3
+      value: 17.333000000000002
+    - type: precision_at_5
+      value: 14.680000000000001
+    - type: precision_at_7
+      value: 12.243
+    - type: precision_at_10
+      value: 10.440000000000001
+    - type: precision_at_20
+      value: 6.944999999999999
+    - type: precision_at_30
+      value: 5.333
+    - type: precision_at_50
+      value: 3.678
+    - type: precision_at_70
+      value: 2.881
+    - type: precision_at_100
+      value: 2.2030000000000003
+    - type: precision_at_200
+      value: 1.295
+    - type: precision_at_300
+      value: 0.9369999999999999
+    - type: precision_at_500
+      value: 0.622
+    - type: precision_at_700
+      value: 0.466
+    - type: precision_at_1000
+      value: 0.347
+    - type: mrr_at_1
+      value: 22.6
+    - type: mrr_at_2
+      value: 27.900000000000002
+    - type: mrr_at_3
+      value: 30.067
+    - type: mrr_at_5
+      value: 32.207
+    - type: mrr_at_7
+      value: 33.004
+    - type: mrr_at_10
+      value: 33.596
+    - type: mrr_at_20
+      value: 34.268
+    - type: mrr_at_30
+      value: 34.492
+    - type: mrr_at_50
+      value: 34.628
+    - type: mrr_at_70
+      value: 34.681
+    - type: mrr_at_100
+      value: 34.717
+    - type: mrr_at_200
+      value: 34.757
+    - type: mrr_at_300
+      value: 34.768
+    - type: mrr_at_500
+      value: 34.772
+    - type: mrr_at_700
+      value: 34.774
+    - type: mrr_at_1000
+      value: 34.775
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.90122745229677
+    - type: cos_sim_spearman
+      value: 82.92294737327579
+    - type: euclidean_pearson
+      value: 84.08979655773187
+    - type: euclidean_spearman
+      value: 82.92294657285412
+    - type: manhattan_pearson
+      value: 84.09347480531832
+    - type: manhattan_spearman
+      value: 82.91564613948087
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.01218713698583
+    - type: cos_sim_spearman
+      value: 79.46865215168464
+    - type: euclidean_pearson
+      value: 83.22621889891909
+    - type: euclidean_spearman
+      value: 79.46853821709514
+    - type: manhattan_pearson
+      value: 83.69962580788805
+    - type: manhattan_spearman
+      value: 79.9561593356932
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.98438696342964
+    - type: cos_sim_spearman
+      value: 89.15419511870839
+    - type: euclidean_pearson
+      value: 88.49646141802894
+    - type: euclidean_spearman
+      value: 89.15419503946019
+    - type: manhattan_pearson
+      value: 88.6420585616327
+    - type: manhattan_spearman
+      value: 89.42648950757743
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.30772547759544
+    - type: cos_sim_spearman
+      value: 84.93199878424691
+    - type: euclidean_pearson
+      value: 86.16266630395455
+    - type: euclidean_spearman
+      value: 84.93198798543634
+    - type: manhattan_pearson
+      value: 86.14285723189803
+    - type: manhattan_spearman
+      value: 85.0361672522687
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 90.21342071197127
+    - type: cos_sim_spearman
+      value: 90.7407512744838
+    - type: euclidean_pearson
+      value: 90.1517933113061
+    - type: euclidean_spearman
+      value: 90.74075125431919
+    - type: manhattan_pearson
+      value: 90.17963034676193
+    - type: manhattan_spearman
+      value: 90.88999275865135
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.82518054100498
+    - type: cos_sim_spearman
+      value: 87.81570533154735
+    - type: euclidean_pearson
+      value: 86.91684561573618
+    - type: euclidean_spearman
+      value: 87.81570533154735
+    - type: manhattan_pearson
+      value: 86.98311935744032
+    - type: manhattan_spearman
+      value: 87.9594667151966
+  - 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: 92.09578436612053
+    - type: cos_sim_spearman
+      value: 92.01519349090438
+    - type: euclidean_pearson
+      value: 92.07113635890894
+    - type: euclidean_spearman
+      value: 92.01519349090438
+    - type: manhattan_pearson
+      value: 91.89343820765625
+    - type: manhattan_spearman
+      value: 91.7443476810177
+  - 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: 69.29997751464549
+    - type: cos_sim_spearman
+      value: 68.36425436812782
+    - type: euclidean_pearson
+      value: 69.81381677661783
+    - type: euclidean_spearman
+      value: 68.36425436812782
+    - type: manhattan_pearson
+      value: 69.92823397008026
+    - type: manhattan_spearman
+      value: 68.35770640039254
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.39126315452359
+    - type: cos_sim_spearman
+      value: 88.99708463265337
+    - type: euclidean_pearson
+      value: 88.60793820038607
+    - type: euclidean_spearman
+      value: 88.99708463265337
+    - type: manhattan_pearson
+      value: 88.69860633571047
+    - type: manhattan_spearman
+      value: 89.20094593888012
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 86.58028062818582
+    - type: mrr
+      value: 96.53586790841693
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 66.333
+    - type: ndcg_at_2
+      value: 70.655
+    - type: ndcg_at_3
+      value: 72.801
+    - type: ndcg_at_5
+      value: 75.793
+    - type: ndcg_at_7
+      value: 76.946
+    - type: ndcg_at_10
+      value: 77.66199999999999
+    - type: ndcg_at_20
+      value: 78.786
+    - type: ndcg_at_30
+      value: 79.066
+    - type: ndcg_at_50
+      value: 79.255
+    - type: ndcg_at_70
+      value: 79.423
+    - type: ndcg_at_100
+      value: 79.476
+    - type: ndcg_at_200
+      value: 79.65299999999999
+    - type: ndcg_at_300
+      value: 79.696
+    - type: ndcg_at_500
+      value: 79.73599999999999
+    - type: ndcg_at_700
+      value: 79.77199999999999
+    - type: ndcg_at_1000
+      value: 79.77199999999999
+    - type: map_at_1
+      value: 63.383
+    - type: map_at_2
+      value: 68.144
+    - type: map_at_3
+      value: 70.19800000000001
+    - type: map_at_5
+      value: 72.38
+    - type: map_at_7
+      value: 72.955
+    - type: map_at_10
+      value: 73.312
+    - type: map_at_20
+      value: 73.678
+    - type: map_at_30
+      value: 73.72800000000001
+    - type: map_at_50
+      value: 73.75500000000001
+    - type: map_at_70
+      value: 73.771
+    - type: map_at_100
+      value: 73.776
+    - type: map_at_200
+      value: 73.783
+    - type: map_at_300
+      value: 73.784
+    - type: map_at_500
+      value: 73.785
+    - type: map_at_700
+      value: 73.786
+    - type: map_at_1000
+      value: 73.786
+    - type: recall_at_1
+      value: 63.383
+    - type: recall_at_2
+      value: 72.283
+    - type: recall_at_3
+      value: 77.183
+    - type: recall_at_5
+      value: 84.56099999999999
+    - type: recall_at_7
+      value: 87.67200000000001
+    - type: recall_at_10
+      value: 89.822
+    - type: recall_at_20
+      value: 94.0
+    - type: recall_at_30
+      value: 95.333
+    - type: recall_at_50
+      value: 96.333
+    - type: recall_at_70
+      value: 97.333
+    - type: recall_at_100
+      value: 97.667
+    - type: recall_at_200
+      value: 99.0
+    - type: recall_at_300
+      value: 99.333
+    - type: recall_at_500
+      value: 99.667
+    - type: recall_at_700
+      value: 100.0
+    - type: recall_at_1000
+      value: 100.0
+    - type: precision_at_1
+      value: 66.333
+    - type: precision_at_2
+      value: 38.667
+    - type: precision_at_3
+      value: 28.111000000000004
+    - type: precision_at_5
+      value: 18.933
+    - type: precision_at_7
+      value: 14.094999999999999
+    - type: precision_at_10
+      value: 10.167
+    - type: precision_at_20
+      value: 5.35
+    - type: precision_at_30
+      value: 3.611
+    - type: precision_at_50
+      value: 2.1870000000000003
+    - type: precision_at_70
+      value: 1.576
+    - type: precision_at_100
+      value: 1.107
+    - type: precision_at_200
+      value: 0.5599999999999999
+    - type: precision_at_300
+      value: 0.374
+    - type: precision_at_500
+      value: 0.22499999999999998
+    - type: precision_at_700
+      value: 0.161
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: mrr_at_1
+      value: 66.333
+    - type: mrr_at_2
+      value: 70.833
+    - type: mrr_at_3
+      value: 72.167
+    - type: mrr_at_5
+      value: 73.6
+    - type: mrr_at_7
+      value: 74.084
+    - type: mrr_at_10
+      value: 74.283
+    - type: mrr_at_20
+      value: 74.54499999999999
+    - type: mrr_at_30
+      value: 74.59599999999999
+    - type: mrr_at_50
+      value: 74.622
+    - type: mrr_at_70
+      value: 74.639
+    - type: mrr_at_100
+      value: 74.643
+    - type: mrr_at_200
+      value: 74.65
+    - type: mrr_at_300
+      value: 74.652
+    - type: mrr_at_500
+      value: 74.653
+    - type: mrr_at_700
+      value: 74.653
+    - type: mrr_at_1000
+      value: 74.653
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.84554455445544
+    - type: cos_sim_ap
+      value: 96.31178339136798
+    - type: cos_sim_f1
+      value: 92.1921921921922
+    - type: cos_sim_precision
+      value: 92.28456913827655
+    - type: cos_sim_recall
+      value: 92.10000000000001
+    - type: dot_accuracy
+      value: 99.84554455445544
+    - type: dot_ap
+      value: 96.31178339136797
+    - type: dot_f1
+      value: 92.1921921921922
+    - type: dot_precision
+      value: 92.28456913827655
+    - type: dot_recall
+      value: 92.10000000000001
+    - type: euclidean_accuracy
+      value: 99.84554455445544
+    - type: euclidean_ap
+      value: 96.31178339136798
+    - type: euclidean_f1
+      value: 92.1921921921922
+    - type: euclidean_precision
+      value: 92.28456913827655
+    - type: euclidean_recall
+      value: 92.10000000000001
+    - type: manhattan_accuracy
+      value: 99.84752475247525
+    - type: manhattan_ap
+      value: 96.4591954606088
+    - type: manhattan_f1
+      value: 92.25352112676056
+    - type: manhattan_precision
+      value: 92.81376518218623
+    - type: manhattan_recall
+      value: 91.7
+    - type: max_accuracy
+      value: 99.84752475247525
+    - type: max_ap
+      value: 96.4591954606088
+    - type: max_f1
+      value: 92.25352112676056
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 74.24659759283294
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 46.77690051260451
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 55.68436757803185
+    - type: mrr
+      value: 56.82157711569475
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.652482405629843
+    - type: cos_sim_spearman
+      value: 31.16341822347735
+    - type: dot_pearson
+      value: 31.652479892699837
+    - type: dot_spearman
+      value: 31.16341822347735
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 92.0
+    - type: ndcg_at_2
+      value: 90.839
+    - type: ndcg_at_3
+      value: 90.642
+    - type: ndcg_at_5
+      value: 90.348
+    - type: ndcg_at_7
+      value: 89.015
+    - type: ndcg_at_10
+      value: 87.599
+    - type: ndcg_at_20
+      value: 84.434
+    - type: ndcg_at_30
+      value: 81.655
+    - type: ndcg_at_50
+      value: 77.278
+    - type: ndcg_at_70
+      value: 73.957
+    - type: ndcg_at_100
+      value: 69.56
+    - type: ndcg_at_200
+      value: 60.724000000000004
+    - type: ndcg_at_300
+      value: 57.245000000000005
+    - type: ndcg_at_500
+      value: 56.316
+    - type: ndcg_at_700
+      value: 58.399
+    - type: ndcg_at_1000
+      value: 62.21600000000001
+    - type: map_at_1
+      value: 0.247
+    - type: map_at_2
+      value: 0.488
+    - type: map_at_3
+      value: 0.7230000000000001
+    - type: map_at_5
+      value: 1.204
+    - type: map_at_7
+      value: 1.6500000000000001
+    - type: map_at_10
+      value: 2.292
+    - type: map_at_20
+      value: 4.274
+    - type: map_at_30
+      value: 6.027
+    - type: map_at_50
+      value: 9.083
+    - type: map_at_70
+      value: 11.751000000000001
+    - type: map_at_100
+      value: 14.912
+    - type: map_at_200
+      value: 22.213
+    - type: map_at_300
+      value: 26.667999999999996
+    - type: map_at_500
+      value: 31.556
+    - type: map_at_700
+      value: 34.221000000000004
+    - type: map_at_1000
+      value: 36.443999999999996
+    - type: recall_at_1
+      value: 0.247
+    - type: recall_at_2
+      value: 0.49899999999999994
+    - type: recall_at_3
+      value: 0.742
+    - type: recall_at_5
+      value: 1.247
+    - type: recall_at_7
+      value: 1.722
+    - type: recall_at_10
+      value: 2.405
+    - type: recall_at_20
+      value: 4.583
+    - type: recall_at_30
+      value: 6.587999999999999
+    - type: recall_at_50
+      value: 10.188
+    - type: recall_at_70
+      value: 13.496
+    - type: recall_at_100
+      value: 17.578
+    - type: recall_at_200
+      value: 28.158
+    - type: recall_at_300
+      value: 35.532000000000004
+    - type: recall_at_500
+      value: 45.31
+    - type: recall_at_700
+      value: 51.822
+    - type: recall_at_1000
+      value: 58.53
+    - type: precision_at_1
+      value: 96.0
+    - type: precision_at_2
+      value: 96.0
+    - type: precision_at_3
+      value: 95.333
+    - type: precision_at_5
+      value: 94.8
+    - type: precision_at_7
+      value: 93.429
+    - type: precision_at_10
+      value: 91.4
+    - type: precision_at_20
+      value: 87.7
+    - type: precision_at_30
+      value: 84.867
+    - type: precision_at_50
+      value: 80.24
+    - type: precision_at_70
+      value: 76.371
+    - type: precision_at_100
+      value: 71.08
+    - type: precision_at_200
+      value: 59.4
+    - type: precision_at_300
+      value: 51.459999999999994
+    - type: precision_at_500
+      value: 40.644000000000005
+    - type: precision_at_700
+      value: 33.889
+    - type: precision_at_1000
+      value: 27.250000000000004
+    - type: mrr_at_1
+      value: 96.0
+    - type: mrr_at_2
+      value: 98.0
+    - type: mrr_at_3
+      value: 98.0
+    - type: mrr_at_5
+      value: 98.0
+    - type: mrr_at_7
+      value: 98.0
+    - type: mrr_at_10
+      value: 98.0
+    - type: mrr_at_20
+      value: 98.0
+    - type: mrr_at_30
+      value: 98.0
+    - type: mrr_at_50
+      value: 98.0
+    - type: mrr_at_70
+      value: 98.0
+    - type: mrr_at_100
+      value: 98.0
+    - type: mrr_at_200
+      value: 98.0
+    - type: mrr_at_300
+      value: 98.0
+    - type: mrr_at_500
+      value: 98.0
+    - type: mrr_at_700
+      value: 98.0
+    - type: mrr_at_1000
+      value: 98.0
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 43.878
+    - type: ndcg_at_2
+      value: 37.956
+    - type: ndcg_at_3
+      value: 35.053
+    - type: ndcg_at_5
+      value: 32.59
+    - type: ndcg_at_7
+      value: 30.226
+    - type: ndcg_at_10
+      value: 29.005
+    - type: ndcg_at_20
+      value: 30.11
+    - type: ndcg_at_30
+      value: 32.019999999999996
+    - type: ndcg_at_50
+      value: 34.354
+    - type: ndcg_at_70
+      value: 36.665
+    - type: ndcg_at_100
+      value: 38.888
+    - type: ndcg_at_200
+      value: 43.435
+    - type: ndcg_at_300
+      value: 45.795
+    - type: ndcg_at_500
+      value: 48.699999999999996
+    - type: ndcg_at_700
+      value: 50.242
+    - type: ndcg_at_1000
+      value: 51.529
+    - type: map_at_1
+      value: 3.521
+    - type: map_at_2
+      value: 5.309
+    - type: map_at_3
+      value: 6.576
+    - type: map_at_5
+      value: 8.97
+    - type: map_at_7
+      value: 10.194
+    - type: map_at_10
+      value: 11.949
+    - type: map_at_20
+      value: 14.686
+    - type: map_at_30
+      value: 15.8
+    - type: map_at_50
+      value: 16.59
+    - type: map_at_70
+      value: 17.2
+    - type: map_at_100
+      value: 17.765
+    - type: map_at_200
+      value: 18.636
+    - type: map_at_300
+      value: 18.972
+    - type: map_at_500
+      value: 19.301
+    - type: map_at_700
+      value: 19.445
+    - type: map_at_1000
+      value: 19.546
+    - type: recall_at_1
+      value: 3.521
+    - type: recall_at_2
+      value: 5.848
+    - type: recall_at_3
+      value: 7.657
+    - type: recall_at_5
+      value: 11.368
+    - type: recall_at_7
+      value: 13.748
+    - type: recall_at_10
+      value: 18.061
+    - type: recall_at_20
+      value: 26.844
+    - type: recall_at_30
+      value: 31.186000000000003
+    - type: recall_at_50
+      value: 35.951
+    - type: recall_at_70
+      value: 40.961999999999996
+    - type: recall_at_100
+      value: 46.743
+    - type: recall_at_200
+      value: 58.483
+    - type: recall_at_300
+      value: 65.973
+    - type: recall_at_500
+      value: 75.233
+    - type: recall_at_700
+      value: 80.472
+    - type: recall_at_1000
+      value: 85.02
+    - type: precision_at_1
+      value: 46.939
+    - type: precision_at_2
+      value: 38.775999999999996
+    - type: precision_at_3
+      value: 34.694
+    - type: precision_at_5
+      value: 31.429000000000002
+    - type: precision_at_7
+      value: 27.697
+    - type: precision_at_10
+      value: 24.490000000000002
+    - type: precision_at_20
+      value: 18.776
+    - type: precision_at_30
+      value: 15.034
+    - type: precision_at_50
+      value: 10.857
+    - type: precision_at_70
+      value: 9.096
+    - type: precision_at_100
+      value: 7.51
+    - type: precision_at_200
+      value: 4.929
+    - type: precision_at_300
+      value: 3.7760000000000002
+    - type: precision_at_500
+      value: 2.6780000000000004
+    - type: precision_at_700
+      value: 2.085
+    - type: precision_at_1000
+      value: 1.5709999999999997
+    - type: mrr_at_1
+      value: 46.939
+    - type: mrr_at_2
+      value: 55.102
+    - type: mrr_at_3
+      value: 57.823
+    - type: mrr_at_5
+      value: 60.68
+    - type: mrr_at_7
+      value: 60.972
+    - type: mrr_at_10
+      value: 61.199000000000005
+    - type: mrr_at_20
+      value: 61.831
+    - type: mrr_at_30
+      value: 61.831
+    - type: mrr_at_50
+      value: 61.873
+    - type: mrr_at_70
+      value: 61.873
+    - type: mrr_at_100
+      value: 61.873
+    - type: mrr_at_200
+      value: 61.873
+    - type: mrr_at_300
+      value: 61.873
+    - type: mrr_at_500
+      value: 61.873
+    - type: mrr_at_700
+      value: 61.873
+    - type: mrr_at_1000
+      value: 61.873
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 69.3294
+    - type: ap
+      value: 14.561333393364736
+    - type: f1
+      value: 53.992309820496466
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 63.63893604980192
+    - type: f1
+      value: 63.92959380489434
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 56.270879258659775
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.71073493473207
+    - type: cos_sim_ap
+      value: 81.52392540284202
+    - type: cos_sim_f1
+      value: 74.71162377994676
+    - type: cos_sim_precision
+      value: 71.89558428885094
+    - type: cos_sim_recall
+      value: 77.75725593667546
+    - type: dot_accuracy
+      value: 88.71073493473207
+    - type: dot_ap
+      value: 81.52394754041109
+    - type: dot_f1
+      value: 74.71162377994676
+    - type: dot_precision
+      value: 71.89558428885094
+    - type: dot_recall
+      value: 77.75725593667546
+    - type: euclidean_accuracy
+      value: 88.71073493473207
+    - type: euclidean_ap
+      value: 81.52392035435321
+    - type: euclidean_f1
+      value: 74.71162377994676
+    - type: euclidean_precision
+      value: 71.89558428885094
+    - type: euclidean_recall
+      value: 77.75725593667546
+    - type: manhattan_accuracy
+      value: 88.47231328604637
+    - type: manhattan_ap
+      value: 81.22907439267321
+    - type: manhattan_f1
+      value: 74.3351571446749
+    - type: manhattan_precision
+      value: 71.78667977390022
+    - type: manhattan_recall
+      value: 77.0712401055409
+    - type: max_accuracy
+      value: 88.71073493473207
+    - type: max_ap
+      value: 81.52394754041109
+    - type: max_f1
+      value: 74.71162377994676
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 89.85136026700819
+    - type: cos_sim_ap
+      value: 87.7768002924216
+    - type: cos_sim_f1
+      value: 80.358908624794
+    - type: cos_sim_precision
+      value: 76.62918209122023
+    - type: cos_sim_recall
+      value: 84.47028025870034
+    - type: dot_accuracy
+      value: 89.85136026700819
+    - type: dot_ap
+      value: 87.77680027889778
+    - type: dot_f1
+      value: 80.358908624794
+    - type: dot_precision
+      value: 76.62918209122023
+    - type: dot_recall
+      value: 84.47028025870034
+    - type: euclidean_accuracy
+      value: 89.85136026700819
+    - type: euclidean_ap
+      value: 87.77680174697751
+    - type: euclidean_f1
+      value: 80.358908624794
+    - type: euclidean_precision
+      value: 76.62918209122023
+    - type: euclidean_recall
+      value: 84.47028025870034
+    - type: manhattan_accuracy
+      value: 89.86300306593705
+    - type: manhattan_ap
+      value: 87.78613271895861
+    - type: manhattan_f1
+      value: 80.31831016905645
+    - type: manhattan_precision
+      value: 76.68230516070304
+    - type: manhattan_recall
+      value: 84.3162919618109
+    - type: max_accuracy
+      value: 89.86300306593705
+    - type: max_ap
+      value: 87.78613271895861
+    - type: max_f1
+      value: 80.358908624794
+language:
+- en
+license: mit
 ---
+
+## Salesforce/SFR-Embedding-Mistral
+
+**SFR-Embedding by Salesforce Research.**
+
+The model is trained on top of [E5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct) and [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1). The model has 32 layers and the embedding size is 4096. 
+
+More technical details will be updated later.
+
+### SFR-Embedding Team
+* Rui Meng
+* Ye Liu
+* Semih Yavuz
+* Yingbo Zhou
+* Caiming Xiong