Update README.md

README.md

@@ -11,7 +11,7 @@ datasets:
 language: en
 license: apache-2.0
 model-index:
-- name: jina-embedding-l-en-v1
+- name: jina-triplets-large
   results:
   - task:
       type: Classification
@@ -23,11 +23,11 @@ model-index:
       revision: e8379541af4e31359cca9fbcf4b00f2671dba205
     metrics:
     - type: accuracy
-      value: 61.64179104477612
+      value: 68.92537313432835
     - type: ap
-      value: 24.63675721041911
+      value: 29.723758877632513
     - type: f1
-      value: 55.10036810049116
+      value: 61.909704211663794
   - task:
       type: Classification
     dataset:
@@ -38,11 +38,11 @@ model-index:
       revision: e2d317d38cd51312af73b3d32a06d1a08b442046
     metrics:
     - type: accuracy
-      value: 60.708125
+      value: 69.13669999999999
     - type: ap
-      value: 57.491681452557344
+      value: 65.30216072238086
     - type: f1
-      value: 58.046023443205655
+      value: 67.1890891071034
   - task:
       type: Classification
     dataset:
@@ -53,561 +53,652 @@ model-index:
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
-      value: 28.12
+      value: 31.384
     - type: f1
-      value: 26.904734434317966
+      value: 30.016752348953723
   - task:
       type: Retrieval
     dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackAndroidRetrieval
+      type: arguana
+      name: MTEB ArguAna
       config: default
       split: test
       revision: None
     metrics:
     - type: map_at_1
-      value: 36.635
+      value: 23.613
     - type: map_at_10
-      value: 48.291000000000004
+      value: 37.897
     - type: map_at_100
-      value: 49.833
+      value: 39.093
     - type: map_at_1000
-      value: 49.944
+      value: 39.109
     - type: map_at_3
-      value: 44.362
+      value: 32.824
     - type: map_at_5
-      value: 46.678
+      value: 35.679
     - type: mrr_at_1
-      value: 44.349
+      value: 23.826
     - type: mrr_at_10
-      value: 54.35
+      value: 37.997
     - type: mrr_at_100
-      value: 54.995000000000005
+      value: 39.186
     - type: mrr_at_1000
-      value: 55.03
+      value: 39.202
     - type: mrr_at_3
-      value: 52.074
+      value: 32.918
     - type: mrr_at_5
-      value: 53.433
+      value: 35.748999999999995
     - type: ndcg_at_1
-      value: 44.349
+      value: 23.613
     - type: ndcg_at_10
-      value: 54.876999999999995
+      value: 46.482
     - type: ndcg_at_100
-      value: 59.663
+      value: 51.55499999999999
     - type: ndcg_at_1000
-      value: 61.23
+      value: 51.974
     - type: ndcg_at_3
-      value: 49.727
+      value: 35.964
     - type: ndcg_at_5
-      value: 52.271
+      value: 41.144999999999996
     - type: precision_at_1
-      value: 44.349
+      value: 23.613
     - type: precision_at_10
-      value: 10.485999999999999
+      value: 7.417999999999999
     - type: precision_at_100
-      value: 1.6209999999999998
+      value: 0.963
     - type: precision_at_1000
-      value: 0.208
+      value: 0.1
     - type: precision_at_3
-      value: 23.653
+      value: 15.031
     - type: precision_at_5
-      value: 17.282
+      value: 11.55
     - type: recall_at_1
-      value: 36.635
+      value: 23.613
     - type: recall_at_10
-      value: 66.878
+      value: 74.182
     - type: recall_at_100
-      value: 86.239
+      value: 96.30199999999999
     - type: recall_at_1000
-      value: 96.14200000000001
+      value: 99.57300000000001
     - type: recall_at_3
-      value: 51.793
+      value: 45.092
     - type: recall_at_5
-      value: 58.943999999999996
+      value: 57.752
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 40.51285742156528
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 31.5825964077496
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 62.830281630546835
+    - type: mrr
+      value: 75.93072593765115
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 87.26764516732737
+    - type: cos_sim_spearman
+      value: 84.42541766631741
+    - type: euclidean_pearson
+      value: 48.71357447655235
+    - type: euclidean_spearman
+      value: 49.2023259276511
+    - type: manhattan_pearson
+      value: 48.36366272727299
+    - type: manhattan_spearman
+      value: 48.457128224924354
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 85.3409090909091
+    - type: f1
+      value: 85.25262617676835
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 33.560193912974974
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 28.4426572644577
   - task:
       type: Retrieval
     dataset:
       type: BeIR/cqadupstack
-      name: MTEB CQADupstackEnglishRetrieval
+      name: MTEB CQADupstackAndroidRetrieval
       config: default
       split: test
       revision: None
     metrics:
     - type: map_at_1
-      value: 31.323
+      value: 27.822999999999997
     - type: map_at_10
-      value: 42.39
+      value: 39.088
     - type: map_at_100
-      value: 43.741
+      value: 40.561
     - type: map_at_1000
-      value: 43.872
+      value: 40.69
     - type: map_at_3
-      value: 39.109
+      value: 35.701
     - type: map_at_5
-      value: 40.961999999999996
+      value: 37.556
     - type: mrr_at_1
-      value: 39.617999999999995
+      value: 33.906
     - type: mrr_at_10
-      value: 48.595
+      value: 44.527
     - type: mrr_at_100
-      value: 49.236000000000004
+      value: 45.403999999999996
     - type: mrr_at_1000
-      value: 49.278
+      value: 45.452
     - type: mrr_at_3
-      value: 46.274
+      value: 41.726
     - type: mrr_at_5
-      value: 47.72
+      value: 43.314
     - type: ndcg_at_1
-      value: 39.617999999999995
+      value: 33.906
     - type: ndcg_at_10
-      value: 48.455
+      value: 45.591
     - type: ndcg_at_100
-      value: 52.949999999999996
+      value: 51.041000000000004
     - type: ndcg_at_1000
-      value: 54.93599999999999
+      value: 53.1
     - type: ndcg_at_3
-      value: 44.038
+      value: 40.324
     - type: ndcg_at_5
-      value: 46.154
+      value: 42.723
     - type: precision_at_1
-      value: 39.617999999999995
+      value: 33.906
     - type: precision_at_10
-      value: 9.318
+      value: 8.655
     - type: precision_at_100
-      value: 1.4869999999999999
+      value: 1.418
     - type: precision_at_1000
       value: 0.19499999999999998
     - type: precision_at_3
-      value: 21.614
+      value: 19.123
     - type: precision_at_5
-      value: 15.376000000000001
+      value: 13.963000000000001
     - type: recall_at_1
-      value: 31.323
+      value: 27.822999999999997
     - type: recall_at_10
-      value: 59.114999999999995
+      value: 58.63699999999999
     - type: recall_at_100
-      value: 77.98
+      value: 80.874
     - type: recall_at_1000
-      value: 90.561
+      value: 93.82000000000001
     - type: recall_at_3
-      value: 45.713
+      value: 44.116
     - type: recall_at_5
-      value: 51.842999999999996
+      value: 50.178999999999995
   - task:
       type: Retrieval
     dataset:
       type: BeIR/cqadupstack
-      name: MTEB CQADupstackGamingRetrieval
+      name: MTEB CQADupstackEnglishRetrieval
       config: default
       split: test
       revision: None
     metrics:
     - type: map_at_1
-      value: 40.858
+      value: 26.823999999999998
     - type: map_at_10
-      value: 53.477
+      value: 37.006
     - type: map_at_100
-      value: 54.47
+      value: 38.256
     - type: map_at_1000
-      value: 54.522999999999996
+      value: 38.397999999999996
     - type: map_at_3
-      value: 50.407999999999994
+      value: 34.011
     - type: map_at_5
-      value: 52.114000000000004
+      value: 35.643
     - type: mrr_at_1
-      value: 46.708
+      value: 34.268
     - type: mrr_at_10
-      value: 56.855999999999995
+      value: 43.374
     - type: mrr_at_100
-      value: 57.472
+      value: 44.096000000000004
     - type: mrr_at_1000
-      value: 57.498000000000005
+      value: 44.144
     - type: mrr_at_3
-      value: 54.45100000000001
+      value: 41.008
     - type: mrr_at_5
-      value: 55.781000000000006
+      value: 42.359
     - type: ndcg_at_1
-      value: 46.708
+      value: 34.268
     - type: ndcg_at_10
-      value: 59.299
+      value: 43.02
     - type: ndcg_at_100
-      value: 63.138000000000005
+      value: 47.747
     - type: ndcg_at_1000
-      value: 64.189
+      value: 50.019999999999996
     - type: ndcg_at_3
-      value: 54.125
+      value: 38.687
     - type: ndcg_at_5
-      value: 56.57600000000001
+      value: 40.647
     - type: precision_at_1
-      value: 46.708
+      value: 34.268
     - type: precision_at_10
-      value: 9.48
+      value: 8.261000000000001
     - type: precision_at_100
-      value: 1.234
+      value: 1.376
     - type: precision_at_1000
-      value: 0.136
+      value: 0.189
     - type: precision_at_3
-      value: 24.221999999999998
+      value: 19.108
     - type: precision_at_5
-      value: 16.414
+      value: 13.489999999999998
     - type: recall_at_1
-      value: 40.858
+      value: 26.823999999999998
     - type: recall_at_10
-      value: 73.1
+      value: 53.84100000000001
     - type: recall_at_100
-      value: 89.447
+      value: 73.992
     - type: recall_at_1000
-      value: 97.00999999999999
+      value: 88.524
     - type: recall_at_3
-      value: 59.092999999999996
+      value: 40.711000000000006
     - type: recall_at_5
-      value: 65.275
+      value: 46.477000000000004
   - task:
       type: Retrieval
     dataset:
       type: BeIR/cqadupstack
-      name: MTEB CQADupstackGisRetrieval
+      name: MTEB CQADupstackGamingRetrieval
       config: default
       split: test
       revision: None
     metrics:
     - type: map_at_1
-      value: 27.400000000000002
+      value: 34.307
     - type: map_at_10
-      value: 36.878
+      value: 45.144
     - type: map_at_100
-      value: 37.993
+      value: 46.351
     - type: map_at_1000
-      value: 38.074000000000005
+      value: 46.414
     - type: map_at_3
-      value: 34.147
+      value: 42.315000000000005
     - type: map_at_5
-      value: 35.703
+      value: 43.991
     - type: mrr_at_1
-      value: 29.378999999999998
+      value: 39.06
     - type: mrr_at_10
-      value: 38.921
+      value: 48.612
     - type: mrr_at_100
-      value: 39.865
+      value: 49.425000000000004
     - type: mrr_at_1000
-      value: 39.92
+      value: 49.458999999999996
     - type: mrr_at_3
-      value: 36.29
+      value: 46.144
     - type: mrr_at_5
-      value: 37.878
+      value: 47.654999999999994
     - type: ndcg_at_1
-      value: 29.378999999999998
+      value: 39.06
     - type: ndcg_at_10
-      value: 42.205
+      value: 50.647
     - type: ndcg_at_100
-      value: 47.333
+      value: 55.620000000000005
     - type: ndcg_at_1000
-      value: 49.258
+      value: 56.976000000000006
     - type: ndcg_at_3
-      value: 36.83
+      value: 45.705
     - type: ndcg_at_5
-      value: 39.525
+      value: 48.269
     - type: precision_at_1
-      value: 29.378999999999998
+      value: 39.06
     - type: precision_at_10
-      value: 6.4750000000000005
+      value: 8.082
     - type: precision_at_100
-      value: 0.947
+      value: 1.161
     - type: precision_at_1000
-      value: 0.11499999999999999
+      value: 0.133
     - type: precision_at_3
-      value: 15.631
+      value: 20.376
     - type: precision_at_5
-      value: 10.983
+      value: 14.069
     - type: recall_at_1
-      value: 27.400000000000002
+      value: 34.307
     - type: recall_at_10
-      value: 56.61000000000001
+      value: 63.497
     - type: recall_at_100
-      value: 79.475
+      value: 85.038
     - type: recall_at_1000
-      value: 93.714
+      value: 94.782
     - type: recall_at_3
-      value: 42.064
+      value: 50.209
     - type: recall_at_5
-      value: 48.526
+      value: 56.525000000000006
   - task:
       type: Retrieval
     dataset:
       type: BeIR/cqadupstack
-      name: MTEB CQADupstackMathematicaRetrieval
+      name: MTEB CQADupstackGisRetrieval
       config: default
       split: test
       revision: None
     metrics:
     - type: map_at_1
-      value: 16.184
+      value: 26.448
     - type: map_at_10
-      value: 24.157
+      value: 34.86
     - type: map_at_100
-      value: 25.339
+      value: 36.004999999999995
     - type: map_at_1000
-      value: 25.454
+      value: 36.081
     - type: map_at_3
-      value: 21.426000000000002
+      value: 32.527
     - type: map_at_5
-      value: 22.792
+      value: 33.955
     - type: mrr_at_1
-      value: 19.776
+      value: 28.701
     - type: mrr_at_10
-      value: 28.53
+      value: 36.909
     - type: mrr_at_100
-      value: 29.463
+      value: 37.89
     - type: mrr_at_1000
-      value: 29.532000000000004
+      value: 37.945
     - type: mrr_at_3
-      value: 26.016000000000002
+      value: 34.576
     - type: mrr_at_5
-      value: 27.359
+      value: 35.966
     - type: ndcg_at_1
-      value: 19.776
+      value: 28.701
     - type: ndcg_at_10
-      value: 29.482000000000003
+      value: 39.507999999999996
     - type: ndcg_at_100
-      value: 35.132999999999996
+      value: 45.056000000000004
     - type: ndcg_at_1000
-      value: 38.048
+      value: 47.034
     - type: ndcg_at_3
-      value: 24.519
+      value: 34.985
     - type: ndcg_at_5
-      value: 26.541999999999998
+      value: 37.384
     - type: precision_at_1
-      value: 19.776
+      value: 28.701
     - type: precision_at_10
-      value: 5.5969999999999995
+      value: 5.921
     - type: precision_at_100
-      value: 0.9780000000000001
+      value: 0.914
     - type: precision_at_1000
-      value: 0.136
+      value: 0.11199999999999999
     - type: precision_at_3
-      value: 12.065
+      value: 14.689
     - type: precision_at_5
-      value: 8.756
+      value: 10.237
     - type: recall_at_1
-      value: 16.184
+      value: 26.448
     - type: recall_at_10
-      value: 41.506
+      value: 51.781
     - type: recall_at_100
-      value: 66.322
+      value: 77.142
     - type: recall_at_1000
-      value: 87.40299999999999
+      value: 92.10000000000001
     - type: recall_at_3
-      value: 27.618
+      value: 39.698
     - type: recall_at_5
-      value: 32.81
+      value: 45.469
   - task:
       type: Retrieval
     dataset:
       type: BeIR/cqadupstack
-      name: MTEB CQADupstackPhysicsRetrieval
+      name: MTEB CQADupstackMathematicaRetrieval
       config: default
       split: test
       revision: None
     metrics:
     - type: map_at_1
-      value: 28.79
+      value: 14.174000000000001
     - type: map_at_10
-      value: 39.475
+      value: 22.019
     - type: map_at_100
-      value: 40.864
+      value: 23.18
     - type: map_at_1000
-      value: 40.967
+      value: 23.304
     - type: map_at_3
-      value: 36.394999999999996
+      value: 19.332
     - type: map_at_5
-      value: 38.101
+      value: 20.816000000000003
     - type: mrr_at_1
-      value: 35.611
+      value: 17.785999999999998
     - type: mrr_at_10
-      value: 45.32
+      value: 26.233
     - type: mrr_at_100
-      value: 46.160000000000004
+      value: 27.254
     - type: mrr_at_1000
-      value: 46.205
+      value: 27.328000000000003
     - type: mrr_at_3
-      value: 42.717
+      value: 23.653
     - type: mrr_at_5
-      value: 44.233
+      value: 25.095
     - type: ndcg_at_1
-      value: 35.611
+      value: 17.785999999999998
     - type: ndcg_at_10
-      value: 45.513999999999996
+      value: 27.236
     - type: ndcg_at_100
-      value: 51.163000000000004
+      value: 32.932
     - type: ndcg_at_1000
-      value: 53.099
+      value: 36.134
     - type: ndcg_at_3
-      value: 40.602
+      value: 22.33
     - type: ndcg_at_5
-      value: 42.933
+      value: 24.573999999999998
     - type: precision_at_1
-      value: 35.611
+      value: 17.785999999999998
     - type: precision_at_10
-      value: 8.219
+      value: 5.286
     - type: precision_at_100
-      value: 1.302
+      value: 0.9369999999999999
     - type: precision_at_1000
-      value: 0.166
+      value: 0.136
     - type: precision_at_3
-      value: 19.281000000000002
+      value: 11.07
     - type: precision_at_5
-      value: 13.550999999999998
+      value: 8.308
     - type: recall_at_1
-      value: 28.79
+      value: 14.174000000000001
     - type: recall_at_10
-      value: 57.708000000000006
+      value: 39.135
     - type: recall_at_100
-      value: 80.965
+      value: 64.095
     - type: recall_at_1000
-      value: 93.60000000000001
+      value: 87.485
     - type: recall_at_3
-      value: 43.766
+      value: 25.496999999999996
     - type: recall_at_5
-      value: 50.003
+      value: 31.148999999999997
   - task:
       type: Retrieval
     dataset:
       type: BeIR/cqadupstack
-      name: MTEB CQADupstackProgrammersRetrieval
+      name: MTEB CQADupstackPhysicsRetrieval
       config: default
       split: test
       revision: None
     metrics:
     - type: map_at_1
-      value: 27.392
+      value: 24.371000000000002
     - type: map_at_10
-      value: 37.213
+      value: 33.074999999999996
     - type: map_at_100
-      value: 38.513999999999996
+      value: 34.486
     - type: map_at_1000
-      value: 38.629999999999995
+      value: 34.608
     - type: map_at_3
-      value: 33.844
+      value: 30.483
     - type: map_at_5
-      value: 35.791000000000004
+      value: 31.972
     - type: mrr_at_1
-      value: 33.676
+      value: 29.548000000000002
     - type: mrr_at_10
-      value: 42.58
+      value: 38.431
     - type: mrr_at_100
-      value: 43.472
+      value: 39.347
     - type: mrr_at_1000
-      value: 43.519999999999996
+      value: 39.4
     - type: mrr_at_3
-      value: 40.011
+      value: 35.980000000000004
     - type: mrr_at_5
-      value: 41.575
+      value: 37.413999999999994
     - type: ndcg_at_1
-      value: 33.676
+      value: 29.548000000000002
     - type: ndcg_at_10
-      value: 42.949
+      value: 38.552
     - type: ndcg_at_100
-      value: 48.542
+      value: 44.598
     - type: ndcg_at_1000
-      value: 50.804
+      value: 47.0
     - type: ndcg_at_3
-      value: 37.631
+      value: 34.109
     - type: ndcg_at_5
-      value: 40.226
+      value: 36.263
     - type: precision_at_1
-      value: 33.676
+      value: 29.548000000000002
     - type: precision_at_10
-      value: 7.785
+      value: 6.92
     - type: precision_at_100
-      value: 1.229
+      value: 1.179
     - type: precision_at_1000
-      value: 0.16199999999999998
+      value: 0.159
     - type: precision_at_3
-      value: 17.694
+      value: 16.137
     - type: precision_at_5
-      value: 12.763
+      value: 11.511000000000001
     - type: recall_at_1
-      value: 27.392
+      value: 24.371000000000002
     - type: recall_at_10
-      value: 54.82599999999999
+      value: 49.586999999999996
     - type: recall_at_100
-      value: 78.61
+      value: 75.15899999999999
     - type: recall_at_1000
-      value: 93.78800000000001
+      value: 91.06
     - type: recall_at_3
-      value: 40.019
+      value: 37.09
     - type: recall_at_5
-      value: 46.866
+      value: 42.588
   - task:
       type: Retrieval
     dataset:
       type: BeIR/cqadupstack
-      name: MTEB CQADupstackRetrieval
+      name: MTEB CQADupstackProgrammersRetrieval
       config: default
       split: test
       revision: None
     metrics:
     - type: map_at_1
-      value: 27.550666666666668
+      value: 24.517
     - type: map_at_10
-      value: 37.07508333333333
+      value: 32.969
     - type: map_at_100
-      value: 38.31308333333333
+      value: 34.199
     - type: map_at_1000
-      value: 38.427166666666665
+      value: 34.322
     - type: map_at_3
-      value: 34.14741666666667
+      value: 30.270999999999997
     - type: map_at_5
-      value: 35.72416666666667
+      value: 31.863000000000003
     - type: mrr_at_1
-      value: 32.63183333333333
+      value: 30.479
     - type: mrr_at_10
-      value: 41.346999999999994
+      value: 38.633
     - type: mrr_at_100
-      value: 42.17225
+      value: 39.522
     - type: mrr_at_1000
-      value: 42.22475
+      value: 39.583
     - type: mrr_at_3
-      value: 38.903999999999996
+      value: 36.454
     - type: mrr_at_5
-      value: 40.27291666666667
+      value: 37.744
     - type: ndcg_at_1
-      value: 32.63183333333333
+      value: 30.479
     - type: ndcg_at_10
-      value: 42.61841666666667
+      value: 38.269
     - type: ndcg_at_100
-      value: 47.742
+      value: 43.91
     - type: ndcg_at_1000
-      value: 49.869416666666666
+      value: 46.564
     - type: ndcg_at_3
-      value: 37.73925
+      value: 34.03
     - type: ndcg_at_5
-      value: 39.925666666666665
+      value: 36.155
     - type: precision_at_1
-      value: 32.63183333333333
+      value: 30.479
     - type: precision_at_10
-      value: 7.504000000000001
+      value: 6.815
     - type: precision_at_100
-      value: 1.1986666666666668
+      value: 1.138
     - type: precision_at_1000
-      value: 0.15758333333333333
+      value: 0.158
     - type: precision_at_3
-      value: 17.415666666666667
+      value: 16.058
     - type: precision_at_5
-      value: 12.297749999999999
+      value: 11.416
     - type: recall_at_1
-      value: 27.550666666666668
+      value: 24.517
     - type: recall_at_10
-      value: 54.68383333333333
+      value: 48.559000000000005
     - type: recall_at_100
-      value: 77.01691666666667
+      value: 73.307
     - type: recall_at_1000
-      value: 91.71175000000001
+      value: 91.508
     - type: recall_at_3
-      value: 40.91866666666667
+      value: 36.563
     - type: recall_at_5
-      value: 46.669000000000004
+      value: 42.375
   - task:
       type: Retrieval
     dataset:
@@ -618,65 +709,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 24.91
+      value: 23.388
     - type: map_at_10
-      value: 32.053
+      value: 29.408
     - type: map_at_100
-      value: 33.086
+      value: 30.452
     - type: map_at_1000
-      value: 33.176
+      value: 30.546
     - type: map_at_3
-      value: 29.768
+      value: 27.139000000000003
     - type: map_at_5
-      value: 30.842000000000002
+      value: 28.402
     - type: mrr_at_1
-      value: 27.607
+      value: 25.46
     - type: mrr_at_10
-      value: 34.732
+      value: 31.966
     - type: mrr_at_100
-      value: 35.589
+      value: 32.879999999999995
     - type: mrr_at_1000
-      value: 35.65
+      value: 32.944
     - type: mrr_at_3
-      value: 32.566
+      value: 29.755
     - type: mrr_at_5
-      value: 33.556000000000004
+      value: 30.974
     - type: ndcg_at_1
-      value: 27.607
+      value: 25.46
     - type: ndcg_at_10
-      value: 36.579
+      value: 33.449
     - type: ndcg_at_100
-      value: 41.646
+      value: 38.67
     - type: ndcg_at_1000
-      value: 43.845
+      value: 41.035
     - type: ndcg_at_3
-      value: 32.132
+      value: 29.048000000000002
     - type: ndcg_at_5
-      value: 33.825
+      value: 31.127
     - type: precision_at_1
-      value: 27.607
+      value: 25.46
     - type: precision_at_10
-      value: 5.827999999999999
+      value: 5.199
     - type: precision_at_100
-      value: 0.928
+      value: 0.8670000000000001
     - type: precision_at_1000
-      value: 0.12
+      value: 0.11399999999999999
     - type: precision_at_3
-      value: 13.804
+      value: 12.168
     - type: precision_at_5
-      value: 9.447999999999999
+      value: 8.62
     - type: recall_at_1
-      value: 24.91
+      value: 23.388
     - type: recall_at_10
-      value: 47.924
+      value: 43.428
     - type: recall_at_100
-      value: 70.88799999999999
+      value: 67.245
     - type: recall_at_1000
-      value: 87.087
+      value: 84.75399999999999
     - type: recall_at_3
-      value: 35.169
+      value: 31.416
     - type: recall_at_5
-      value: 39.497
+      value: 36.451
   - task:
       type: Retrieval
     dataset:
@@ -687,65 +778,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 18.19
+      value: 17.136000000000003
     - type: map_at_10
-      value: 25.765
+      value: 24.102999999999998
     - type: map_at_100
-      value: 26.882
+      value: 25.219
     - type: map_at_1000
-      value: 27.012999999999998
+      value: 25.344
     - type: map_at_3
-      value: 23.378
+      value: 22.004
     - type: map_at_5
-      value: 24.587
+      value: 23.145
     - type: mrr_at_1
-      value: 22.505
+      value: 20.613
     - type: mrr_at_10
-      value: 29.948999999999998
+      value: 27.753
     - type: mrr_at_100
-      value: 30.871
+      value: 28.698
     - type: mrr_at_1000
-      value: 30.947999999999997
+      value: 28.776000000000003
     - type: mrr_at_3
-      value: 27.764
+      value: 25.711000000000002
     - type: mrr_at_5
-      value: 28.951999999999998
+      value: 26.795
     - type: ndcg_at_1
-      value: 22.505
+      value: 20.613
     - type: ndcg_at_10
-      value: 30.593999999999998
+      value: 28.510999999999996
     - type: ndcg_at_100
-      value: 35.983
+      value: 33.924
     - type: ndcg_at_1000
-      value: 38.869
+      value: 36.849
     - type: ndcg_at_3
-      value: 26.369
+      value: 24.664
     - type: ndcg_at_5
-      value: 28.124
+      value: 26.365
     - type: precision_at_1
-      value: 22.505
+      value: 20.613
     - type: precision_at_10
-      value: 5.575
+      value: 5.069
     - type: precision_at_100
-      value: 0.9860000000000001
+      value: 0.918
     - type: precision_at_1000
-      value: 0.14200000000000002
+      value: 0.136
     - type: precision_at_3
-      value: 12.423
+      value: 11.574
     - type: precision_at_5
-      value: 8.878
+      value: 8.211
     - type: recall_at_1
-      value: 18.19
+      value: 17.136000000000003
     - type: recall_at_10
-      value: 41.032000000000004
+      value: 38.232
     - type: recall_at_100
-      value: 65.32900000000001
+      value: 62.571
     - type: recall_at_1000
-      value: 85.702
+      value: 83.23
     - type: recall_at_3
-      value: 29.136
+      value: 27.468999999999998
     - type: recall_at_5
-      value: 33.711
+      value: 31.852999999999998
   - task:
       type: Retrieval
     dataset:
@@ -756,65 +847,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 28.304000000000002
+      value: 25.580000000000002
     - type: map_at_10
-      value: 37.153000000000006
+      value: 33.449
     - type: map_at_100
-      value: 38.317
+      value: 34.58
     - type: map_at_1000
-      value: 38.422
+      value: 34.692
     - type: map_at_3
-      value: 34.317
+      value: 30.660999999999998
     - type: map_at_5
-      value: 35.801
+      value: 32.425
     - type: mrr_at_1
-      value: 33.675
+      value: 30.037000000000003
     - type: mrr_at_10
-      value: 41.302
+      value: 37.443
     - type: mrr_at_100
-      value: 42.202
+      value: 38.32
     - type: mrr_at_1000
-      value: 42.264
+      value: 38.384
     - type: mrr_at_3
-      value: 38.759
+      value: 34.778999999999996
     - type: mrr_at_5
-      value: 40.215
+      value: 36.458
     - type: ndcg_at_1
-      value: 33.675
+      value: 30.037000000000003
     - type: ndcg_at_10
-      value: 42.35
+      value: 38.46
     - type: ndcg_at_100
-      value: 47.653
+      value: 43.746
     - type: ndcg_at_1000
-      value: 49.964999999999996
+      value: 46.28
     - type: ndcg_at_3
-      value: 37.372
+      value: 33.52
     - type: ndcg_at_5
-      value: 39.544000000000004
+      value: 36.175000000000004
     - type: precision_at_1
-      value: 33.675
+      value: 30.037000000000003
     - type: precision_at_10
-      value: 7.136000000000001
+      value: 6.418
     - type: precision_at_100
-      value: 1.097
+      value: 1.0210000000000001
     - type: precision_at_1000
-      value: 0.14100000000000001
+      value: 0.136
     - type: precision_at_3
-      value: 16.915
+      value: 15.018999999999998
     - type: precision_at_5
-      value: 11.884
+      value: 10.877
     - type: recall_at_1
-      value: 28.304000000000002
+      value: 25.580000000000002
     - type: recall_at_10
-      value: 54.083000000000006
+      value: 49.830000000000005
     - type: recall_at_100
-      value: 77.167
+      value: 73.04899999999999
     - type: recall_at_1000
-      value: 93.151
+      value: 90.751
     - type: recall_at_3
-      value: 40.441
+      value: 36.370999999999995
     - type: recall_at_5
-      value: 45.95
+      value: 43.104
   - task:
       type: Retrieval
     dataset:
@@ -825,65 +916,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 29.575000000000003
+      value: 24.071
     - type: map_at_10
-      value: 39.089
+      value: 33.384
     - type: map_at_100
-      value: 40.813
+      value: 35.004999999999995
     - type: map_at_1000
-      value: 41.032000000000004
+      value: 35.215999999999994
     - type: map_at_3
-      value: 36.153999999999996
+      value: 30.459000000000003
     - type: map_at_5
-      value: 37.518
+      value: 31.769
     - type: mrr_at_1
-      value: 35.573
+      value: 28.854000000000003
     - type: mrr_at_10
-      value: 43.891000000000005
+      value: 37.512
     - type: mrr_at_100
-      value: 44.777
+      value: 38.567
     - type: mrr_at_1000
-      value: 44.812999999999995
+      value: 38.618
     - type: mrr_at_3
-      value: 41.337
+      value: 35.211
     - type: mrr_at_5
-      value: 42.533
+      value: 36.13
     - type: ndcg_at_1
-      value: 35.573
+      value: 28.854000000000003
     - type: ndcg_at_10
-      value: 45.275999999999996
+      value: 39.216
     - type: ndcg_at_100
-      value: 50.94
+      value: 45.214
     - type: ndcg_at_1000
-      value: 52.893
+      value: 47.573
     - type: ndcg_at_3
-      value: 40.693
+      value: 34.597
     - type: ndcg_at_5
-      value: 42.198
+      value: 36.063
     - type: precision_at_1
-      value: 35.573
+      value: 28.854000000000003
     - type: precision_at_10
-      value: 8.715
+      value: 7.648000000000001
     - type: precision_at_100
-      value: 1.7209999999999999
+      value: 1.545
     - type: precision_at_1000
-      value: 0.252
+      value: 0.241
     - type: precision_at_3
-      value: 19.302
+      value: 16.667
     - type: precision_at_5
-      value: 13.439
+      value: 11.818
     - type: recall_at_1
-      value: 29.575000000000003
+      value: 24.071
     - type: recall_at_10
-      value: 56.65599999999999
+      value: 50.802
     - type: recall_at_100
-      value: 81.999
+      value: 77.453
     - type: recall_at_1000
-      value: 93.999
+      value: 92.304
     - type: recall_at_3
-      value: 42.768
+      value: 36.846000000000004
     - type: recall_at_5
-      value: 47.54
+      value: 41.14
   - task:
       type: Retrieval
     dataset:
@@ -894,225 +985,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 21.047
-    - type: map_at_10
-      value: 28.96
-    - type: map_at_100
-      value: 29.904999999999998
-    - type: map_at_1000
-      value: 30.019000000000002
-    - type: map_at_3
-      value: 26.461000000000002
-    - type: map_at_5
-      value: 27.801
-    - type: mrr_at_1
-      value: 23.105
-    - type: mrr_at_10
-      value: 31.137999999999998
-    - type: mrr_at_100
-      value: 31.965
-    - type: mrr_at_1000
-      value: 32.039
-    - type: mrr_at_3
-      value: 28.589
-    - type: mrr_at_5
-      value: 30.04
-    - type: ndcg_at_1
-      value: 23.105
-    - type: ndcg_at_10
-      value: 33.841
-    - type: ndcg_at_100
-      value: 38.76
-    - type: ndcg_at_1000
-      value: 41.297
-    - type: ndcg_at_3
-      value: 28.833
-    - type: ndcg_at_5
-      value: 31.19
-    - type: precision_at_1
-      value: 23.105
-    - type: precision_at_10
-      value: 5.434
-    - type: precision_at_100
-      value: 0.8540000000000001
-    - type: precision_at_1000
-      value: 0.11800000000000001
-    - type: precision_at_3
-      value: 12.384
-    - type: precision_at_5
-      value: 8.799
-    - type: recall_at_1
-      value: 21.047
-    - type: recall_at_10
-      value: 46.768
-    - type: recall_at_100
-      value: 69.782
-    - type: recall_at_1000
-      value: 88.384
-    - type: recall_at_3
-      value: 33.444
-    - type: recall_at_5
-      value: 39.062999999999995
-  - task:
-      type: Retrieval
-    dataset:
-      type: arguana
-      name: MTEB ArguAna
-      config: default
-      split: test
-      revision: None
-    metrics:
-    - type: map_at_1
-      value: 26.031
+      value: 23.395
     - type: map_at_10
-      value: 40.742
+      value: 29.189999999999998
     - type: map_at_100
-      value: 41.832
+      value: 30.226999999999997
     - type: map_at_1000
-      value: 41.844
+      value: 30.337999999999997
     - type: map_at_3
-      value: 35.526
+      value: 27.342
     - type: map_at_5
-      value: 38.567
+      value: 28.116999999999997
     - type: mrr_at_1
-      value: 26.316
+      value: 25.323
     - type: mrr_at_10
-      value: 40.855999999999995
+      value: 31.241000000000003
     - type: mrr_at_100
-      value: 41.946
+      value: 32.225
     - type: mrr_at_1000
-      value: 41.957
+      value: 32.304
     - type: mrr_at_3
-      value: 35.621
+      value: 29.452
     - type: mrr_at_5
-      value: 38.644
+      value: 30.209000000000003
     - type: ndcg_at_1
-      value: 26.031
+      value: 25.323
     - type: ndcg_at_10
-      value: 49.483
+      value: 33.024
     - type: ndcg_at_100
-      value: 54.074999999999996
+      value: 38.279
     - type: ndcg_at_1000
-      value: 54.344
+      value: 41.026
     - type: ndcg_at_3
-      value: 38.792
+      value: 29.243000000000002
     - type: ndcg_at_5
-      value: 44.24
+      value: 30.564000000000004
     - type: precision_at_1
-      value: 26.031
+      value: 25.323
     - type: precision_at_10
-      value: 7.76
+      value: 4.972
     - type: precision_at_100
-      value: 0.975
+      value: 0.8210000000000001
     - type: precision_at_1000
-      value: 0.1
+      value: 0.116
     - type: precision_at_3
-      value: 16.098000000000003
+      value: 12.076
     - type: precision_at_5
-      value: 12.29
+      value: 8.133
     - type: recall_at_1
-      value: 26.031
+      value: 23.395
     - type: recall_at_10
-      value: 77.596
+      value: 42.994
     - type: recall_at_100
-      value: 97.51100000000001
+      value: 66.985
     - type: recall_at_1000
-      value: 99.57300000000001
+      value: 87.483
     - type: recall_at_3
-      value: 48.293
+      value: 32.505
     - type: recall_at_5
-      value: 61.451
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/arxiv-clustering-p2p
-      name: MTEB ArxivClusteringP2P
-      config: default
-      split: test
-      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
-    metrics:
-    - type: v_measure
-      value: 41.76036539849672
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/arxiv-clustering-s2s
-      name: MTEB ArxivClusteringS2S
-      config: default
-      split: test
-      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
-    metrics:
-    - type: v_measure
-      value: 34.27585676831497
-  - task:
-      type: Reranking
-    dataset:
-      type: mteb/askubuntudupquestions-reranking
-      name: MTEB AskUbuntuDupQuestions
-      config: default
-      split: test
-      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
-    metrics:
-    - type: map
-      value: 63.47328704612227
-    - type: mrr
-      value: 76.63182078002022
-  - task:
-      type: STS
-    dataset:
-      type: mteb/biosses-sts
-      name: MTEB BIOSSES
-      config: default
-      split: test
-      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
-    metrics:
-    - type: cos_sim_pearson
-      value: 87.42072640664271
-    - type: cos_sim_spearman
-      value: 84.31336692039407
-    - type: euclidean_pearson
-      value: 54.93250871487246
-    - type: euclidean_spearman
-      value: 55.91091252228738
-    - type: manhattan_pearson
-      value: 54.78812442894107
-    - type: manhattan_spearman
-      value: 55.35005636930548
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/banking77
-      name: MTEB Banking77Classification
-      config: default
-      split: test
-      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
-    metrics:
-    - type: accuracy
-      value: 86.28896103896103
-    - type: f1
-      value: 86.23389676482913
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/biorxiv-clustering-p2p
-      name: MTEB BiorxivClusteringP2P
-      config: default
-      split: test
-      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
-    metrics:
-    - type: v_measure
-      value: 33.73729294301578
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/biorxiv-clustering-s2s
-      name: MTEB BiorxivClusteringS2S
-      config: default
-      split: test
-      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
-    metrics:
-    - type: v_measure
-      value: 30.641078215958288
+      value: 35.721000000000004
   - task:
       type: Retrieval
     dataset:
@@ -1123,65 +1054,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 8.258000000000001
+      value: 8.322000000000001
     - type: map_at_10
-      value: 14.57
+      value: 14.491000000000001
     - type: map_at_100
-      value: 15.98
+      value: 16.066
     - type: map_at_1000
-      value: 16.149
+      value: 16.238
     - type: map_at_3
-      value: 11.993
+      value: 12.235
     - type: map_at_5
-      value: 13.383000000000001
+      value: 13.422999999999998
     - type: mrr_at_1
-      value: 18.176000000000002
+      value: 19.479
     - type: mrr_at_10
-      value: 28.560000000000002
+      value: 29.38
     - type: mrr_at_100
-      value: 29.656
+      value: 30.520999999999997
     - type: mrr_at_1000
-      value: 29.709999999999997
+      value: 30.570999999999998
     - type: mrr_at_3
-      value: 25.255
+      value: 26.395000000000003
     - type: mrr_at_5
-      value: 27.128000000000004
+      value: 27.982000000000003
     - type: ndcg_at_1
-      value: 18.176000000000002
+      value: 19.479
     - type: ndcg_at_10
-      value: 21.36
+      value: 21.215
     - type: ndcg_at_100
-      value: 27.619
+      value: 27.966
     - type: ndcg_at_1000
-      value: 31.086000000000002
+      value: 31.324
     - type: ndcg_at_3
-      value: 16.701
+      value: 17.194000000000003
     - type: ndcg_at_5
-      value: 18.559
+      value: 18.593
     - type: precision_at_1
-      value: 18.176000000000002
+      value: 19.479
     - type: precision_at_10
-      value: 6.683999999999999
+      value: 6.5280000000000005
     - type: precision_at_100
-      value: 1.3339999999999999
+      value: 1.359
     - type: precision_at_1000
-      value: 0.197
+      value: 0.198
     - type: precision_at_3
-      value: 12.269
+      value: 12.703999999999999
     - type: precision_at_5
-      value: 9.798
+      value: 9.655
     - type: recall_at_1
-      value: 8.258000000000001
+      value: 8.322000000000001
     - type: recall_at_10
-      value: 27.060000000000002
+      value: 26.165
     - type: recall_at_100
-      value: 48.833
+      value: 49.573
     - type: recall_at_1000
-      value: 68.636
+      value: 68.501
     - type: recall_at_3
-      value: 15.895999999999999
+      value: 16.179
     - type: recall_at_5
-      value: 20.625
+      value: 20.175
   - task:
       type: Retrieval
     dataset:
@@ -1192,65 +1123,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 8.241
+      value: 8.003
     - type: map_at_10
-      value: 17.141000000000002
+      value: 16.087
     - type: map_at_100
-      value: 22.805
+      value: 21.363
     - type: map_at_1000
-      value: 24.189
+      value: 22.64
     - type: map_at_3
-      value: 12.940999999999999
+      value: 12.171999999999999
     - type: map_at_5
-      value: 14.607000000000001
+      value: 13.866
     - type: mrr_at_1
-      value: 62.25000000000001
+      value: 61.25000000000001
     - type: mrr_at_10
-      value: 70.537
+      value: 68.626
     - type: mrr_at_100
-      value: 70.851
+      value: 69.134
     - type: mrr_at_1000
-      value: 70.875
+      value: 69.144
     - type: mrr_at_3
-      value: 68.75
+      value: 67.042
     - type: mrr_at_5
-      value: 69.77499999999999
+      value: 67.929
     - type: ndcg_at_1
-      value: 50.125
+      value: 49.0
     - type: ndcg_at_10
-      value: 36.032
+      value: 34.132
     - type: ndcg_at_100
-      value: 39.428999999999995
+      value: 37.545
     - type: ndcg_at_1000
-      value: 47.138999999999996
+      value: 44.544
     - type: ndcg_at_3
-      value: 40.99
+      value: 38.946999999999996
     - type: ndcg_at_5
-      value: 37.772
+      value: 36.317
     - type: precision_at_1
-      value: 62.25000000000001
+      value: 61.25000000000001
     - type: precision_at_10
-      value: 28.050000000000004
+      value: 26.325
     - type: precision_at_100
-      value: 8.527999999999999
+      value: 8.173
     - type: precision_at_1000
-      value: 1.82
+      value: 1.778
     - type: precision_at_3
-      value: 45.0
+      value: 41.667
     - type: precision_at_5
-      value: 36.0
+      value: 34.300000000000004
     - type: recall_at_1
-      value: 8.241
+      value: 8.003
     - type: recall_at_10
-      value: 22.583000000000002
+      value: 20.577
     - type: recall_at_100
-      value: 44.267
+      value: 41.884
     - type: recall_at_1000
-      value: 69.497
+      value: 64.36500000000001
     - type: recall_at_3
-      value: 14.326
+      value: 13.602
     - type: recall_at_5
-      value: 17.29
+      value: 16.41
   - task:
       type: Classification
     dataset:
@@ -1261,9 +1192,9 @@ model-index:
       revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
     metrics:
     - type: accuracy
-      value: 42.295
+      value: 45.835
     - type: f1
-      value: 38.32403088027173
+      value: 41.66455981281837
   - task:
       type: Retrieval
     dataset:
@@ -1274,65 +1205,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 58.553
+      value: 55.717000000000006
     - type: map_at_10
-      value: 69.632
+      value: 66.34100000000001
     - type: map_at_100
-      value: 69.95400000000001
+      value: 66.776
     - type: map_at_1000
-      value: 69.968
+      value: 66.794
     - type: map_at_3
-      value: 67.656
+      value: 64.386
     - type: map_at_5
-      value: 68.86
+      value: 65.566
     - type: mrr_at_1
-      value: 63.156
+      value: 60.141
     - type: mrr_at_10
-      value: 74.37700000000001
+      value: 70.928
     - type: mrr_at_100
-      value: 74.629
+      value: 71.29299999999999
     - type: mrr_at_1000
-      value: 74.63300000000001
+      value: 71.30199999999999
     - type: mrr_at_3
-      value: 72.577
+      value: 69.07900000000001
     - type: mrr_at_5
-      value: 73.71
+      value: 70.244
     - type: ndcg_at_1
-      value: 63.156
+      value: 60.141
     - type: ndcg_at_10
-      value: 75.345
+      value: 71.90100000000001
     - type: ndcg_at_100
-      value: 76.728
+      value: 73.836
     - type: ndcg_at_1000
-      value: 77.006
+      value: 74.214
     - type: ndcg_at_3
-      value: 71.67099999999999
+      value: 68.203
     - type: ndcg_at_5
-      value: 73.656
+      value: 70.167
     - type: precision_at_1
-      value: 63.156
+      value: 60.141
     - type: precision_at_10
-      value: 9.673
+      value: 9.268
     - type: precision_at_100
-      value: 1.045
+      value: 1.03
     - type: precision_at_1000
       value: 0.108
     - type: precision_at_3
-      value: 28.393
+      value: 27.028000000000002
     - type: precision_at_5
-      value: 18.160999999999998
+      value: 17.342
     - type: recall_at_1
-      value: 58.553
+      value: 55.717000000000006
     - type: recall_at_10
-      value: 88.362
+      value: 84.66799999999999
     - type: recall_at_100
-      value: 94.401
+      value: 93.28
     - type: recall_at_1000
-      value: 96.256
+      value: 95.887
     - type: recall_at_3
-      value: 78.371
+      value: 74.541
     - type: recall_at_5
-      value: 83.32300000000001
+      value: 79.389
   - task:
       type: Retrieval
     dataset:
@@ -1343,65 +1274,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 19.302
+      value: 17.744
     - type: map_at_10
-      value: 31.887
+      value: 29.554000000000002
     - type: map_at_100
-      value: 33.727000000000004
+      value: 31.180000000000003
     - type: map_at_1000
-      value: 33.914
+      value: 31.372
     - type: map_at_3
-      value: 27.254
+      value: 25.6
     - type: map_at_5
-      value: 29.904999999999998
+      value: 27.642
     - type: mrr_at_1
-      value: 39.043
+      value: 35.802
     - type: mrr_at_10
-      value: 47.858000000000004
+      value: 44.812999999999995
     - type: mrr_at_100
-      value: 48.636
+      value: 45.56
     - type: mrr_at_1000
-      value: 48.677
+      value: 45.606
     - type: mrr_at_3
-      value: 45.062000000000005
+      value: 42.181000000000004
     - type: mrr_at_5
-      value: 46.775
+      value: 43.516
     - type: ndcg_at_1
-      value: 39.043
+      value: 35.802
     - type: ndcg_at_10
-      value: 39.899
+      value: 37.269999999999996
     - type: ndcg_at_100
-      value: 46.719
+      value: 43.575
     - type: ndcg_at_1000
-      value: 49.739
+      value: 46.916000000000004
     - type: ndcg_at_3
-      value: 35.666
+      value: 33.511
     - type: ndcg_at_5
-      value: 37.232
+      value: 34.504000000000005
     - type: precision_at_1
-      value: 39.043
+      value: 35.802
     - type: precision_at_10
-      value: 11.265
+      value: 10.448
     - type: precision_at_100
-      value: 1.864
+      value: 1.7129999999999999
     - type: precision_at_1000
-      value: 0.23800000000000002
+      value: 0.231
     - type: precision_at_3
-      value: 24.227999999999998
+      value: 22.531000000000002
     - type: precision_at_5
-      value: 18.148
+      value: 16.512
     - type: recall_at_1
-      value: 19.302
+      value: 17.744
     - type: recall_at_10
-      value: 47.278
+      value: 44.616
     - type: recall_at_100
-      value: 72.648
+      value: 68.51899999999999
     - type: recall_at_1000
-      value: 90.793
+      value: 88.495
     - type: recall_at_3
-      value: 31.235000000000003
+      value: 30.235
     - type: recall_at_5
-      value: 38.603
+      value: 35.821999999999996
   - task:
       type: Retrieval
     dataset:
@@ -1412,65 +1343,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 31.398
+      value: 33.315
     - type: map_at_10
-      value: 44.635000000000005
+      value: 45.932
     - type: map_at_100
-      value: 45.513
+      value: 46.708
     - type: map_at_1000
-      value: 45.595
+      value: 46.778999999999996
     - type: map_at_3
-      value: 41.894
+      value: 43.472
     - type: map_at_5
-      value: 43.514
+      value: 45.022
     - type: mrr_at_1
-      value: 62.795
+      value: 66.631
     - type: mrr_at_10
-      value: 70.001
+      value: 73.083
     - type: mrr_at_100
-      value: 70.378
+      value: 73.405
     - type: mrr_at_1000
-      value: 70.399
+      value: 73.421
     - type: mrr_at_3
-      value: 68.542
+      value: 71.756
     - type: mrr_at_5
-      value: 69.394
+      value: 72.616
     - type: ndcg_at_1
-      value: 62.795
+      value: 66.631
     - type: ndcg_at_10
-      value: 53.635
+      value: 54.949000000000005
     - type: ndcg_at_100
-      value: 57.05
+      value: 57.965
     - type: ndcg_at_1000
-      value: 58.755
+      value: 59.467000000000006
     - type: ndcg_at_3
-      value: 49.267
+      value: 51.086
     - type: ndcg_at_5
-      value: 51.522
+      value: 53.272
     - type: precision_at_1
-      value: 62.795
+      value: 66.631
     - type: precision_at_10
-      value: 11.196
+      value: 11.178
     - type: precision_at_100
-      value: 1.389
+      value: 1.3559999999999999
     - type: precision_at_1000
-      value: 0.16199999999999998
+      value: 0.156
     - type: precision_at_3
-      value: 30.804
+      value: 31.582
     - type: precision_at_5
-      value: 20.265
+      value: 20.678
     - type: recall_at_1
-      value: 31.398
+      value: 33.315
     - type: recall_at_10
-      value: 55.982
+      value: 55.888000000000005
     - type: recall_at_100
-      value: 69.453
+      value: 67.812
     - type: recall_at_1000
-      value: 80.756
+      value: 77.839
     - type: recall_at_3
-      value: 46.205
+      value: 47.373
     - type: recall_at_5
-      value: 50.662
+      value: 51.695
   - task:
       type: Classification
     dataset:
@@ -1481,11 +1412,11 @@ model-index:
       revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
     metrics:
     - type: accuracy
-      value: 63.803200000000004
+      value: 66.424
     - type: ap
-      value: 59.04397034963468
+      value: 61.132235499939256
     - type: f1
-      value: 63.4675375611795
+      value: 66.07094958225315
   - task:
       type: Retrieval
     dataset:
@@ -1496,65 +1427,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 17.671
+      value: 21.575
     - type: map_at_10
-      value: 29.152
+      value: 33.509
     - type: map_at_100
-      value: 30.422
+      value: 34.725
     - type: map_at_1000
-      value: 30.481
+      value: 34.775
     - type: map_at_3
-      value: 25.417
+      value: 29.673
     - type: map_at_5
-      value: 27.448
+      value: 31.805
     - type: mrr_at_1
-      value: 18.195
+      value: 22.235
     - type: mrr_at_10
-      value: 29.67
+      value: 34.1
     - type: mrr_at_100
-      value: 30.891999999999996
+      value: 35.254999999999995
     - type: mrr_at_1000
-      value: 30.944
+      value: 35.299
     - type: mrr_at_3
-      value: 25.974000000000004
+      value: 30.334
     - type: mrr_at_5
-      value: 27.996
+      value: 32.419
     - type: ndcg_at_1
-      value: 18.195
+      value: 22.235
     - type: ndcg_at_10
-      value: 35.795
+      value: 40.341
     - type: ndcg_at_100
-      value: 42.117
+      value: 46.161
     - type: ndcg_at_1000
-      value: 43.585
+      value: 47.400999999999996
     - type: ndcg_at_3
-      value: 28.122000000000003
+      value: 32.482
     - type: ndcg_at_5
-      value: 31.757
+      value: 36.269
     - type: precision_at_1
-      value: 18.195
+      value: 22.235
     - type: precision_at_10
-      value: 5.89
+      value: 6.422999999999999
     - type: precision_at_100
-      value: 0.9079999999999999
+      value: 0.9329999999999999
     - type: precision_at_1000
-      value: 0.10300000000000001
+      value: 0.104
     - type: precision_at_3
-      value: 12.24
+      value: 13.835
     - type: precision_at_5
-      value: 9.178
+      value: 10.226
     - type: recall_at_1
-      value: 17.671
+      value: 21.575
     - type: recall_at_10
-      value: 56.373
+      value: 61.448
     - type: recall_at_100
-      value: 86.029
+      value: 88.289
     - type: recall_at_1000
-      value: 97.246
+      value: 97.76899999999999
     - type: recall_at_3
-      value: 35.414
+      value: 39.971000000000004
     - type: recall_at_5
-      value: 44.149
+      value: 49.053000000000004
   - task:
       type: Classification
     dataset:
@@ -1565,9 +1496,9 @@ model-index:
       revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
     metrics:
     - type: accuracy
-      value: 90.80255357957135
+      value: 92.83401732786137
     - type: f1
-      value: 90.79256308087807
+      value: 92.47678691291068
   - task:
       type: Classification
     dataset:
@@ -1578,9 +1509,9 @@ model-index:
       revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
     metrics:
     - type: accuracy
-      value: 71.20611035111719
+      value: 76.08983128134975
     - type: f1
-      value: 54.075483897190836
+      value: 59.782936393820904
   - task:
       type: Classification
     dataset:
@@ -1591,9 +1522,9 @@ model-index:
       revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
     metrics:
     - type: accuracy
-      value: 70.79354404841965
+      value: 72.73032952252858
     - type: f1
-      value: 68.53816551555609
+      value: 70.72684765888265
   - task:
       type: Classification
     dataset:
@@ -1604,9 +1535,9 @@ model-index:
       revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
-      value: 76.6072629455279
+      value: 77.08473436449226
     - type: f1
-      value: 77.04997715738867
+      value: 77.31457411257054
   - task:
       type: Clustering
     dataset:
@@ -1617,7 +1548,7 @@ model-index:
       revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
     metrics:
     - type: v_measure
-      value: 30.432745003633016
+      value: 30.11980959210532
   - task:
       type: Clustering
     dataset:
@@ -1628,7 +1559,7 @@ model-index:
       revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
     metrics:
     - type: v_measure
-      value: 28.95493811839366
+      value: 25.2587629106119
   - task:
       type: Reranking
     dataset:
@@ -1639,9 +1570,9 @@ model-index:
       revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
     metrics:
     - type: map
-      value: 31.63516074152514
+      value: 31.48268319779204
     - type: mrr
-      value: 32.73091425241894
+      value: 32.501885728964304
   - task:
       type: Retrieval
     dataset:
@@ -1652,65 +1583,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 5.379
+      value: 5.284
     - type: map_at_10
-      value: 12.051
+      value: 11.509
     - type: map_at_100
-      value: 15.176
+      value: 14.624
     - type: map_at_1000
-      value: 16.662
+      value: 16.035
     - type: map_at_3
-      value: 8.588
+      value: 8.347999999999999
     - type: map_at_5
-      value: 10.274
+      value: 9.919
     - type: mrr_at_1
-      value: 44.891999999999996
+      value: 43.344
     - type: mrr_at_10
-      value: 53.06999999999999
+      value: 52.303999999999995
     - type: mrr_at_100
-      value: 53.675
+      value: 52.994
     - type: mrr_at_1000
-      value: 53.717999999999996
+      value: 53.032999999999994
     - type: mrr_at_3
-      value: 50.671
+      value: 50.361
     - type: mrr_at_5
-      value: 52.25
+      value: 51.754
     - type: ndcg_at_1
-      value: 42.879
+      value: 41.176
     - type: ndcg_at_10
-      value: 33.291
+      value: 32.244
     - type: ndcg_at_100
-      value: 30.567
+      value: 29.916999999999998
     - type: ndcg_at_1000
-      value: 39.598
+      value: 38.753
     - type: ndcg_at_3
-      value: 37.713
+      value: 36.856
     - type: ndcg_at_5
-      value: 36.185
+      value: 35.394999999999996
     - type: precision_at_1
-      value: 44.891999999999996
+      value: 43.034
     - type: precision_at_10
-      value: 24.923000000000002
+      value: 24.118000000000002
     - type: precision_at_100
-      value: 8.015
+      value: 7.926
     - type: precision_at_1000
-      value: 2.083
+      value: 2.045
     - type: precision_at_3
-      value: 35.088
+      value: 34.675
     - type: precision_at_5
-      value: 31.765
+      value: 31.146
     - type: recall_at_1
-      value: 5.379
+      value: 5.284
     - type: recall_at_10
-      value: 16.346
+      value: 15.457
     - type: recall_at_100
-      value: 31.887999999999998
+      value: 30.914
     - type: recall_at_1000
-      value: 64.90599999999999
+      value: 63.788999999999994
     - type: recall_at_3
-      value: 9.543
+      value: 9.596
     - type: recall_at_5
-      value: 12.369
+      value: 12.391
   - task:
       type: Retrieval
     dataset:
@@ -1721,65 +1652,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 25.654
+      value: 29.537999999999997
     - type: map_at_10
-      value: 40.163
+      value: 43.99
     - type: map_at_100
-      value: 41.376000000000005
+      value: 45.003
     - type: map_at_1000
-      value: 41.411
+      value: 45.04
     - type: map_at_3
-      value: 35.677
+      value: 39.814
     - type: map_at_5
-      value: 38.238
+      value: 42.166
     - type: mrr_at_1
-      value: 29.055999999999997
+      value: 33.256
     - type: mrr_at_10
-      value: 42.571999999999996
+      value: 46.487
     - type: mrr_at_100
-      value: 43.501
+      value: 47.264
     - type: mrr_at_1000
-      value: 43.527
+      value: 47.29
     - type: mrr_at_3
-      value: 38.775
+      value: 43.091
     - type: mrr_at_5
-      value: 40.953
+      value: 45.013999999999996
     - type: ndcg_at_1
-      value: 29.026999999999997
+      value: 33.256
     - type: ndcg_at_10
-      value: 47.900999999999996
+      value: 51.403
     - type: ndcg_at_100
-      value: 52.941
+      value: 55.706999999999994
     - type: ndcg_at_1000
-      value: 53.786
+      value: 56.586000000000006
     - type: ndcg_at_3
-      value: 39.387
+      value: 43.559
     - type: ndcg_at_5
-      value: 43.65
+      value: 47.426
     - type: precision_at_1
-      value: 29.026999999999997
+      value: 33.256
     - type: precision_at_10
-      value: 8.247
+      value: 8.540000000000001
     - type: precision_at_100
-      value: 1.102
+      value: 1.093
     - type: precision_at_1000
       value: 0.11800000000000001
     - type: precision_at_3
-      value: 18.231
+      value: 19.834
     - type: precision_at_5
-      value: 13.378
+      value: 14.143
     - type: recall_at_1
-      value: 25.654
+      value: 29.537999999999997
     - type: recall_at_10
-      value: 69.175
+      value: 71.5
     - type: recall_at_100
-      value: 90.85600000000001
+      value: 90.25
     - type: recall_at_1000
-      value: 97.18
+      value: 96.82600000000001
     - type: recall_at_3
-      value: 47.043
+      value: 51.108
     - type: recall_at_5
-      value: 56.86600000000001
+      value: 60.006
   - task:
       type: Retrieval
     dataset:
@@ -1790,65 +1721,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 70.785
+      value: 70.526
     - type: map_at_10
-      value: 84.509
+      value: 84.342
     - type: map_at_100
-      value: 85.17
+      value: 84.985
     - type: map_at_1000
-      value: 85.187
+      value: 85.003
     - type: map_at_3
-      value: 81.628
+      value: 81.472
     - type: map_at_5
-      value: 83.422
+      value: 83.292
     - type: mrr_at_1
-      value: 81.43
+      value: 81.17
     - type: mrr_at_10
-      value: 87.506
+      value: 87.33999999999999
     - type: mrr_at_100
-      value: 87.616
+      value: 87.445
     - type: mrr_at_1000
-      value: 87.617
+      value: 87.446
     - type: mrr_at_3
-      value: 86.598
+      value: 86.387
     - type: mrr_at_5
-      value: 87.215
+      value: 87.042
     - type: ndcg_at_1
-      value: 81.44
+      value: 81.19
     - type: ndcg_at_10
-      value: 88.208
+      value: 88.088
     - type: ndcg_at_100
-      value: 89.49000000000001
+      value: 89.35
     - type: ndcg_at_1000
-      value: 89.59700000000001
+      value: 89.462
     - type: ndcg_at_3
-      value: 85.471
+      value: 85.319
     - type: ndcg_at_5
-      value: 86.955
+      value: 86.858
     - type: precision_at_1
-      value: 81.44
+      value: 81.19
     - type: precision_at_10
-      value: 13.347000000000001
+      value: 13.33
     - type: precision_at_100
-      value: 1.53
+      value: 1.528
     - type: precision_at_1000
       value: 0.157
     - type: precision_at_3
-      value: 37.330000000000005
+      value: 37.31
     - type: precision_at_5
-      value: 24.506
+      value: 24.512
     - type: recall_at_1
-      value: 70.785
+      value: 70.526
     - type: recall_at_10
-      value: 95.15
+      value: 95.166
     - type: recall_at_100
-      value: 99.502
+      value: 99.479
     - type: recall_at_1000
-      value: 99.993
+      value: 99.984
     - type: recall_at_3
-      value: 87.234
+      value: 87.124
     - type: recall_at_5
-      value: 91.467
+      value: 91.53
   - task:
       type: Clustering
     dataset:
@@ -1859,7 +1790,7 @@ model-index:
       revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
     metrics:
     - type: v_measure
-      value: 52.40682777853522
+      value: 45.049073872893494
   - task:
       type: Clustering
     dataset:
@@ -1870,7 +1801,7 @@ model-index:
       revision: 282350215ef01743dc01b456c7f5241fa8937f16
     metrics:
     - type: v_measure
-      value: 56.61834429208595
+      value: 55.13810914528368
   - task:
       type: Retrieval
     dataset:
@@ -1881,65 +1812,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 4.918
+      value: 4.593
     - type: map_at_10
-      value: 11.562
+      value: 10.907
     - type: map_at_100
-      value: 13.636999999999999
+      value: 12.888
     - type: map_at_1000
-      value: 13.918
+      value: 13.167000000000002
     - type: map_at_3
-      value: 8.353
+      value: 7.936
     - type: map_at_5
-      value: 9.878
+      value: 9.31
     - type: mrr_at_1
-      value: 24.3
+      value: 22.7
     - type: mrr_at_10
-      value: 33.914
+      value: 32.509
     - type: mrr_at_100
-      value: 35.079
+      value: 33.69
     - type: mrr_at_1000
-      value: 35.134
+      value: 33.747
     - type: mrr_at_3
-      value: 30.833
+      value: 29.599999999999998
     - type: mrr_at_5
-      value: 32.528
+      value: 31.155
     - type: ndcg_at_1
-      value: 24.3
+      value: 22.7
     - type: ndcg_at_10
-      value: 19.393
+      value: 18.445
     - type: ndcg_at_100
-      value: 27.471
+      value: 26.241999999999997
     - type: ndcg_at_1000
-      value: 32.543
+      value: 31.409
     - type: ndcg_at_3
-      value: 18.648
+      value: 17.864
     - type: ndcg_at_5
-      value: 16.064999999999998
+      value: 15.232999999999999
     - type: precision_at_1
-      value: 24.3
+      value: 22.7
     - type: precision_at_10
-      value: 9.92
+      value: 9.43
     - type: precision_at_100
-      value: 2.152
+      value: 2.061
     - type: precision_at_1000
-      value: 0.338
+      value: 0.331
     - type: precision_at_3
-      value: 17.1
+      value: 16.467000000000002
     - type: precision_at_5
-      value: 13.819999999999999
+      value: 13.08
     - type: recall_at_1
-      value: 4.918
+      value: 4.593
     - type: recall_at_10
-      value: 20.102
+      value: 19.115
     - type: recall_at_100
-      value: 43.69
+      value: 41.82
     - type: recall_at_1000
-      value: 68.568
+      value: 67.167
     - type: recall_at_3
-      value: 10.383000000000001
+      value: 9.983
     - type: recall_at_5
-      value: 13.977999999999998
+      value: 13.218
   - task:
       type: STS
     dataset:
@@ -1950,17 +1881,17 @@ model-index:
       revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
     metrics:
     - type: cos_sim_pearson
-      value: 86.02374279770862
+      value: 82.94432059816452
     - type: cos_sim_spearman
-      value: 80.3123278821752
+      value: 79.19993315048852
     - type: euclidean_pearson
-      value: 78.150387301923
+      value: 72.43261099671753
     - type: euclidean_spearman
-      value: 74.27020095240543
+      value: 71.51531114998619
     - type: manhattan_pearson
-      value: 78.00212720962597
+      value: 71.83604124130447
     - type: manhattan_spearman
-      value: 74.27996355049189
+      value: 71.24460392842295
   - task:
       type: STS
     dataset:
@@ -1971,17 +1902,17 @@ model-index:
       revision: a0d554a64d88156834ff5ae9920b964011b16384
     metrics:
     - type: cos_sim_pearson
-      value: 83.56832604166104
+      value: 84.25401068481673
     - type: cos_sim_spearman
-      value: 73.85172437109456
+      value: 74.5249604699309
     - type: euclidean_pearson
-      value: 70.77037821156355
+      value: 71.1324859629043
     - type: euclidean_spearman
-      value: 58.32603602271459
+      value: 58.77041705276752
     - type: manhattan_pearson
-      value: 70.6019035905572
+      value: 71.01471521586141
     - type: manhattan_spearman
-      value: 58.18758998109944
+      value: 58.69949381017865
   - task:
       type: STS
     dataset:
@@ -1992,17 +1923,17 @@ model-index:
       revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
     metrics:
     - type: cos_sim_pearson
-      value: 83.97624603590171
+      value: 82.85731544223766
     - type: cos_sim_spearman
-      value: 84.3654403570941
+      value: 83.15607264736185
     - type: euclidean_pearson
-      value: 77.37734191552401
+      value: 75.8803249521361
     - type: euclidean_spearman
-      value: 77.83492278107906
+      value: 76.4862168799065
     - type: manhattan_pearson
-      value: 77.38406845115612
+      value: 75.80451454386811
     - type: manhattan_spearman
-      value: 77.80429501178632
+      value: 76.35986831074699
   - task:
       type: STS
     dataset:
@@ -2013,17 +1944,17 @@ model-index:
       revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
     metrics:
     - type: cos_sim_pearson
-      value: 82.5175806484823
+      value: 82.40669043798857
     - type: cos_sim_spearman
-      value: 77.84074419393815
+      value: 78.08686090667834
     - type: euclidean_pearson
-      value: 75.31514179994578
+      value: 74.48574712193803
     - type: euclidean_spearman
-      value: 71.06564963155697
+      value: 70.79423012045118
     - type: manhattan_pearson
-      value: 75.25016497298036
+      value: 74.39099211477354
     - type: manhattan_spearman
-      value: 71.0503867625097
+      value: 70.73135427277684
   - task:
       type: STS
     dataset:
@@ -2034,17 +1965,17 @@ model-index:
       revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
     metrics:
     - type: cos_sim_pearson
-      value: 85.15312065200007
+      value: 86.03027014209859
     - type: cos_sim_spearman
-      value: 86.28786282283781
+      value: 86.91082847840946
     - type: euclidean_pearson
-      value: 69.93961446583728
+      value: 69.13187603971996
     - type: euclidean_spearman
-      value: 70.99565144007187
+      value: 70.0370035340552
     - type: manhattan_pearson
-      value: 70.06338127800244
+      value: 69.2586635812031
     - type: manhattan_spearman
-      value: 71.15328825585216
+      value: 70.18638387118486
   - task:
       type: STS
     dataset:
@@ -2055,17 +1986,17 @@ model-index:
       revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
     metrics:
     - type: cos_sim_pearson
-      value: 80.48261723093232
+      value: 82.41190748361883
     - type: cos_sim_spearman
-      value: 82.13997187275378
+      value: 83.64850851235231
     - type: euclidean_pearson
-      value: 72.01034058956992
+      value: 71.60523243575282
     - type: euclidean_spearman
-      value: 72.90423890320797
+      value: 72.26134033805099
     - type: manhattan_pearson
-      value: 71.91819389305805
+      value: 71.50771482066683
     - type: manhattan_spearman
-      value: 72.804333901611
+      value: 72.13707967973161
   - task:
       type: STS
     dataset:
@@ -2076,17 +2007,17 @@ model-index:
       revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
     metrics:
     - type: cos_sim_pearson
-      value: 89.89094326696411
+      value: 90.42838477648627
     - type: cos_sim_spearman
-      value: 89.5679328484923
+      value: 90.15798155439076
     - type: euclidean_pearson
-      value: 77.27326226557433
+      value: 77.09619972244516
     - type: euclidean_spearman
-      value: 75.44670270858582
+      value: 75.5953488548861
     - type: manhattan_pearson
-      value: 77.49623029933024
+      value: 77.36892406451771
     - type: manhattan_spearman
-      value: 75.6317127686177
+      value: 75.76625156149356
   - task:
       type: STS
     dataset:
@@ -2097,17 +2028,17 @@ model-index:
       revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
     metrics:
     - type: cos_sim_pearson
-      value: 67.03259798800852
+      value: 65.76151154879307
     - type: cos_sim_spearman
-      value: 66.17683868865686
+      value: 64.8846800918359
     - type: euclidean_pearson
-      value: 49.154524473561416
+      value: 50.23302700257155
     - type: euclidean_spearman
-      value: 58.82796771905756
+      value: 58.89455187289583
     - type: manhattan_pearson
-      value: 48.97445679282608
+      value: 50.05498582284945
     - type: manhattan_spearman
-      value: 58.69653501728678
+      value: 58.75893793871576
   - task:
       type: STS
     dataset:
@@ -2118,17 +2049,17 @@ model-index:
       revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
     metrics:
     - type: cos_sim_pearson
-      value: 84.01368632144246
+      value: 84.72381109169437
     - type: cos_sim_spearman
-      value: 83.64169080274549
+      value: 84.59820928231167
     - type: euclidean_pearson
-      value: 75.84021692605727
+      value: 74.85450857429493
     - type: euclidean_spearman
-      value: 74.69132304226987
+      value: 73.83634052565915
     - type: manhattan_pearson
-      value: 75.9627059404693
+      value: 74.97349743979106
     - type: manhattan_spearman
-      value: 74.83616979158057
+      value: 73.9636470375881
   - task:
       type: Reranking
     dataset:
@@ -2139,9 +2070,9 @@ model-index:
       revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
     metrics:
     - type: map
-      value: 81.63017243645893
+      value: 80.96736259172798
     - type: mrr
-      value: 94.79274900843528
+      value: 94.48378781712114
   - task:
       type: Retrieval
     dataset:
@@ -2152,65 +2083,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 47.094
+      value: 46.344
     - type: map_at_10
-      value: 56.047000000000004
+      value: 54.962
     - type: map_at_100
-      value: 56.701
+      value: 55.772
     - type: map_at_1000
-      value: 56.742000000000004
+      value: 55.81700000000001
     - type: map_at_3
-      value: 53.189
+      value: 51.832
     - type: map_at_5
-      value: 54.464
+      value: 53.718999999999994
     - type: mrr_at_1
-      value: 50.0
+      value: 49.0
     - type: mrr_at_10
-      value: 57.567
+      value: 56.721
     - type: mrr_at_100
-      value: 58.104
+      value: 57.287
     - type: mrr_at_1000
-      value: 58.142
+      value: 57.330000000000005
     - type: mrr_at_3
-      value: 55.222
+      value: 54.056000000000004
     - type: mrr_at_5
-      value: 56.355999999999995
+      value: 55.822
     - type: ndcg_at_1
-      value: 50.0
+      value: 49.0
     - type: ndcg_at_10
-      value: 60.84
+      value: 59.757000000000005
     - type: ndcg_at_100
-      value: 63.983999999999995
+      value: 63.149
     - type: ndcg_at_1000
-      value: 65.19500000000001
+      value: 64.43100000000001
     - type: ndcg_at_3
-      value: 55.491
+      value: 54.105000000000004
     - type: ndcg_at_5
-      value: 57.51500000000001
+      value: 57.196999999999996
     - type: precision_at_1
-      value: 50.0
+      value: 49.0
     - type: precision_at_10
-      value: 8.366999999999999
+      value: 8.200000000000001
     - type: precision_at_100
-      value: 1.013
+      value: 1.0070000000000001
     - type: precision_at_1000
-      value: 0.11199999999999999
+      value: 0.11100000000000002
     - type: precision_at_3
-      value: 21.556
+      value: 20.889
     - type: precision_at_5
-      value: 14.2
+      value: 14.399999999999999
     - type: recall_at_1
-      value: 47.094
+      value: 46.344
     - type: recall_at_10
-      value: 74.239
+      value: 72.722
     - type: recall_at_100
-      value: 89.0
+      value: 88.167
     - type: recall_at_1000
-      value: 98.667
+      value: 98.333
     - type: recall_at_3
-      value: 59.606
+      value: 57.994
     - type: recall_at_5
-      value: 64.756
+      value: 65.506
   - task:
       type: PairClassification
     dataset:
@@ -2221,51 +2152,51 @@ model-index:
       revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
     metrics:
     - type: cos_sim_accuracy
-      value: 99.7128712871287
+      value: 99.83366336633664
     - type: cos_sim_ap
-      value: 91.8391173412632
+      value: 96.09329747251944
     - type: cos_sim_f1
-      value: 85.23421588594704
+      value: 91.66255550074001
     - type: cos_sim_precision
-      value: 86.82572614107885
+      value: 90.45764362220059
     - type: cos_sim_recall
-      value: 83.7
+      value: 92.9
     - type: dot_accuracy
-      value: 99.23960396039604
+      value: 99.32871287128712
     - type: dot_ap
-      value: 58.07268940033783
+      value: 63.95436644147969
     - type: dot_f1
-      value: 58.00486618004865
+      value: 60.61814556331008
     - type: dot_precision
-      value: 56.49289099526066
+      value: 60.437375745526836
     - type: dot_recall
-      value: 59.599999999999994
+      value: 60.8
     - type: euclidean_accuracy
-      value: 99.62574257425743
+      value: 99.66534653465347
     - type: euclidean_ap
-      value: 86.31145319031712
+      value: 85.85143979761818
     - type: euclidean_f1
-      value: 80.12486992715921
+      value: 81.57033805888769
     - type: euclidean_precision
-      value: 83.51409978308027
+      value: 89.68824940047962
     - type: euclidean_recall
-      value: 77.0
+      value: 74.8
     - type: manhattan_accuracy
-      value: 99.62178217821783
+      value: 99.65742574257426
     - type: manhattan_ap
-      value: 85.96697606381338
+      value: 85.55693926348405
     - type: manhattan_f1
-      value: 80.24193548387099
+      value: 81.13804004214963
     - type: manhattan_precision
-      value: 80.89430894308943
+      value: 85.74610244988864
     - type: manhattan_recall
-      value: 79.60000000000001
+      value: 77.0
     - type: max_accuracy
-      value: 99.7128712871287
+      value: 99.83366336633664
     - type: max_ap
-      value: 91.8391173412632
+      value: 96.09329747251944
     - type: max_f1
-      value: 85.23421588594704
+      value: 91.66255550074001
   - task:
       type: Clustering
     dataset:
@@ -2276,7 +2207,7 @@ model-index:
       revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
     metrics:
     - type: v_measure
-      value: 54.98955943181893
+      value: 45.23573510003245
   - task:
       type: Clustering
     dataset:
@@ -2287,7 +2218,7 @@ model-index:
       revision: 815ca46b2622cec33ccafc3735d572c266efdb44
     metrics:
     - type: v_measure
-      value: 32.72837687387049
+      value: 33.37478638401161
   - task:
       type: Reranking
     dataset:
@@ -2298,9 +2229,9 @@ model-index:
       revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
     metrics:
     - type: map
-      value: 51.02207528482775
+      value: 50.375920467392476
     - type: mrr
-      value: 51.8842044393515
+      value: 51.17302223919871
   - task:
       type: Summarization
     dataset:
@@ -2311,13 +2242,13 @@ model-index:
       revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
     metrics:
     - type: cos_sim_pearson
-      value: 30.250596893094876
+      value: 29.768864092288343
     - type: cos_sim_spearman
-      value: 30.609457706010158
+      value: 29.854278347043266
     - type: dot_pearson
-      value: 19.739579843052162
+      value: 20.51281723837505
     - type: dot_spearman
-      value: 20.27834051930579
+      value: 21.799102540913665
   - task:
       type: Retrieval
     dataset:
@@ -2328,65 +2259,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 0.187
+      value: 0.2
     - type: map_at_10
-      value: 1.239
+      value: 1.202
     - type: map_at_100
-      value: 6.388000000000001
+      value: 6.729
     - type: map_at_1000
-      value: 15.507000000000001
+      value: 15.928
     - type: map_at_3
-      value: 0.5
+      value: 0.492
     - type: map_at_5
       value: 0.712
     - type: mrr_at_1
-      value: 70.0
+      value: 76.0
     - type: mrr_at_10
-      value: 83.0
+      value: 84.75
     - type: mrr_at_100
-      value: 83.0
+      value: 84.75
     - type: mrr_at_1000
-      value: 83.0
+      value: 84.75
     - type: mrr_at_3
-      value: 81.667
+      value: 83.0
     - type: mrr_at_5
-      value: 82.667
+      value: 84.5
     - type: ndcg_at_1
-      value: 65.0
+      value: 71.0
     - type: ndcg_at_10
-      value: 56.57600000000001
+      value: 57.253
     - type: ndcg_at_100
-      value: 42.054
+      value: 44.383
     - type: ndcg_at_1000
-      value: 38.269999999999996
+      value: 38.666
     - type: ndcg_at_3
-      value: 63.134
+      value: 64.324
     - type: ndcg_at_5
-      value: 58.792
+      value: 60.791
     - type: precision_at_1
-      value: 70.0
+      value: 76.0
     - type: precision_at_10
-      value: 59.8
+      value: 59.599999999999994
     - type: precision_at_100
-      value: 42.5
+      value: 45.440000000000005
     - type: precision_at_1000
-      value: 17.304
+      value: 17.458000000000002
     - type: precision_at_3
-      value: 67.333
+      value: 69.333
     - type: precision_at_5
-      value: 62.4
+      value: 63.2
     - type: recall_at_1
-      value: 0.187
+      value: 0.2
     - type: recall_at_10
-      value: 1.529
+      value: 1.4949999999999999
     - type: recall_at_100
-      value: 9.673
+      value: 10.266
     - type: recall_at_1000
-      value: 35.807
+      value: 35.853
     - type: recall_at_3
-      value: 0.5459999999999999
+      value: 0.5349999999999999
     - type: recall_at_5
-      value: 0.8130000000000001
+      value: 0.8109999999999999
   - task:
       type: Retrieval
     dataset:
@@ -2397,65 +2328,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 1.646
+      value: 2.0140000000000002
     - type: map_at_10
-      value: 6.569999999999999
+      value: 8.474
     - type: map_at_100
-      value: 11.530999999999999
+      value: 14.058000000000002
     - type: map_at_1000
-      value: 13.009
+      value: 15.381
     - type: map_at_3
-      value: 3.234
+      value: 4.508
     - type: map_at_5
-      value: 4.956
+      value: 5.87
     - type: mrr_at_1
-      value: 18.367
+      value: 22.448999999999998
     - type: mrr_at_10
-      value: 35.121
+      value: 37.242
     - type: mrr_at_100
-      value: 36.142
+      value: 38.291
     - type: mrr_at_1000
-      value: 36.153
+      value: 38.311
     - type: mrr_at_3
-      value: 29.252
+      value: 32.312999999999995
     - type: mrr_at_5
-      value: 33.434999999999995
+      value: 34.762
     - type: ndcg_at_1
-      value: 16.326999999999998
+      value: 20.408
     - type: ndcg_at_10
-      value: 17.336
+      value: 20.729
     - type: ndcg_at_100
-      value: 28.925
+      value: 33.064
     - type: ndcg_at_1000
-      value: 41.346
+      value: 44.324999999999996
     - type: ndcg_at_3
-      value: 16.131999999999998
+      value: 21.251
     - type: ndcg_at_5
-      value: 18.107
+      value: 20.28
     - type: precision_at_1
-      value: 18.367
+      value: 22.448999999999998
     - type: precision_at_10
-      value: 16.531000000000002
+      value: 18.98
     - type: precision_at_100
-      value: 6.449000000000001
+      value: 7.224
     - type: precision_at_1000
-      value: 1.451
+      value: 1.471
     - type: precision_at_3
-      value: 17.687
+      value: 22.448999999999998
     - type: precision_at_5
-      value: 20.0
+      value: 20.816000000000003
     - type: recall_at_1
-      value: 1.646
+      value: 2.0140000000000002
     - type: recall_at_10
-      value: 12.113
+      value: 13.96
     - type: recall_at_100
-      value: 40.261
+      value: 44.187
     - type: recall_at_1000
-      value: 77.878
+      value: 79.328
     - type: recall_at_3
-      value: 4.181
+      value: 5.345
     - type: recall_at_5
-      value: 7.744
+      value: 7.979
   - task:
       type: Classification
     dataset:
@@ -2466,11 +2397,11 @@ model-index:
       revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
     metrics:
     - type: accuracy
-      value: 66.61500000000001
+      value: 69.1312
     - type: ap
-      value: 11.70707762285034
+      value: 12.606776505497608
     - type: f1
-      value: 50.53259935502312
+      value: 52.4112415600534
   - task:
       type: Classification
     dataset:
@@ -2481,9 +2412,9 @@ model-index:
       revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
     metrics:
     - type: accuracy
-      value: 54.89247311827958
+      value: 58.16072439162422
     - type: f1
-      value: 55.044186334629586
+      value: 58.29152785435414
   - task:
       type: Clustering
     dataset:
@@ -2494,7 +2425,7 @@ model-index:
       revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
     metrics:
     - type: v_measure
-      value: 46.95851882042766
+      value: 40.421119289825924
   - task:
       type: PairClassification
     dataset:
@@ -2505,51 +2436,51 @@ model-index:
       revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
     metrics:
     - type: cos_sim_accuracy
-      value: 84.01978899684092
+      value: 85.48012159504083
     - type: cos_sim_ap
-      value: 68.10404793439619
+      value: 72.31974877212102
     - type: cos_sim_f1
-      value: 63.93145891154821
+      value: 67.96846573681019
     - type: cos_sim_precision
-      value: 58.905937291527685
+      value: 62.89562289562289
     - type: cos_sim_recall
-      value: 69.89445910290237
+      value: 73.93139841688654
     - type: dot_accuracy
-      value: 77.78506288370984
+      value: 78.52416999463551
     - type: dot_ap
-      value: 38.55636213255057
+      value: 43.65271285411479
     - type: dot_f1
-      value: 44.6866485013624
+      value: 46.94641449960599
     - type: dot_precision
-      value: 34.07202216066482
+      value: 37.456774599182644
     - type: dot_recall
-      value: 64.90765171503958
+      value: 62.875989445910285
     - type: euclidean_accuracy
-      value: 82.94093103653812
+      value: 83.90057817249806
     - type: euclidean_ap
-      value: 63.65596102723866
+      value: 65.96278727778665
     - type: euclidean_f1
-      value: 61.444903916322055
+      value: 63.35733232284957
     - type: euclidean_precision
-      value: 56.994584837545126
+      value: 60.770535497940394
     - type: euclidean_recall
-      value: 66.64907651715039
+      value: 66.17414248021109
     - type: manhattan_accuracy
-      value: 82.99457590749239
+      value: 83.96614412588663
     - type: manhattan_ap
-      value: 63.77653539498376
+      value: 66.03670273156699
     - type: manhattan_f1
-      value: 61.48299483235189
+      value: 63.49128406579917
     - type: manhattan_precision
-      value: 56.455528580887226
+      value: 59.366391184573
     - type: manhattan_recall
-      value: 67.4934036939314
+      value: 68.23218997361478
     - type: max_accuracy
-      value: 84.01978899684092
+      value: 85.48012159504083
     - type: max_ap
-      value: 68.10404793439619
+      value: 72.31974877212102
     - type: max_f1
-      value: 63.93145891154821
+      value: 67.96846573681019
   - task:
       type: PairClassification
     dataset:
@@ -2560,51 +2491,51 @@ model-index:
       revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
     metrics:
     - type: cos_sim_accuracy
-      value: 87.75177552683665
+      value: 88.97038848139093
     - type: cos_sim_ap
-      value: 83.75899853399007
+      value: 85.982764495556
     - type: cos_sim_f1
-      value: 76.25022931572188
+      value: 78.73283281450284
     - type: cos_sim_precision
-      value: 72.83241045769958
+      value: 75.07857791436754
     - type: cos_sim_recall
-      value: 80.00461964890668
+      value: 82.7610101632276
     - type: dot_accuracy
-      value: 81.8197694725812
+      value: 83.21108394458028
     - type: dot_ap
-      value: 67.6851675345571
+      value: 70.97956937273386
     - type: dot_f1
-      value: 64.04501820589209
+      value: 66.53083038279111
     - type: dot_precision
-      value: 56.17233770758332
+      value: 58.7551622418879
     - type: dot_recall
-      value: 74.48413920542039
+      value: 76.67847243609486
     - type: euclidean_accuracy
-      value: 83.3003454030349
+      value: 84.31520937633407
     - type: euclidean_ap
-      value: 72.80186670461116
+      value: 74.67323411319909
     - type: euclidean_f1
-      value: 65.38000218078727
+      value: 67.21935410935676
     - type: euclidean_precision
-      value: 61.92082616179002
+      value: 65.82773636430733
     - type: euclidean_recall
-      value: 69.24853711117956
+      value: 68.67108099784416
     - type: manhattan_accuracy
-      value: 83.32169053440447
+      value: 84.35013777312066
     - type: manhattan_ap
-      value: 72.8243559753097
+      value: 74.66508905354597
     - type: manhattan_f1
-      value: 65.45939901157966
+      value: 67.28264162375038
     - type: manhattan_precision
-      value: 61.58284124075205
+      value: 66.19970193740686
     - type: manhattan_recall
-      value: 69.85679088389283
+      value: 68.40160147828766
     - type: max_accuracy
-      value: 87.75177552683665
+      value: 88.97038848139093
     - type: max_ap
-      value: 83.75899853399007
+      value: 85.982764495556
     - type: max_f1
-      value: 76.25022931572188
+      value: 78.73283281450284
 ---
 
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