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README.md

@@ -14,17 +14,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 44.734816122831546
+      value: 44.80910972039708
     - type: cos_sim_spearman
-      value: 46.97006123331873
+      value: 46.97947004057185
     - type: euclidean_pearson
-      value: 45.38062036005061
+      value: 45.36774158404125
     - type: euclidean_spearman
-      value: 46.97006123331873
+      value: 46.97947004232487
     - type: manhattan_pearson
-      value: 45.25100462997557
+      value: 45.23486628014998
     - type: manhattan_spearman
-      value: 46.85418008817015
+      value: 46.87721960765866
   - task:
       type: STS
     dataset:
@@ -35,17 +35,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 49.23835317471939
+      value: 49.5294624928126
     - type: cos_sim_spearman
-      value: 51.29611473119322
+      value: 51.34771777448503
     - type: euclidean_pearson
-      value: 53.41533188991713
+      value: 53.56859824288157
     - type: euclidean_spearman
-      value: 51.29611360495954
+      value: 51.34771439634126
     - type: manhattan_pearson
-      value: 53.42662771302782
+      value: 53.581640877132685
     - type: manhattan_spearman
-      value: 51.29682402789285
+      value: 51.349656519071274
   - task:
       type: Classification
     dataset:
@@ -56,9 +56,9 @@ model-index:
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
-      value: 38.855999999999995
+      value: 39.318
     - type: f1
-      value: 36.96137480741953
+      value: 37.37720144558489
   - task:
       type: STS
     dataset:
@@ -69,17 +69,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 61.79575529204537
+      value: 62.12016334764962
     - type: cos_sim_spearman
-      value: 64.96308773217001
+      value: 65.08208654969742
     - type: euclidean_pearson
-      value: 63.38747223113914
+      value: 63.53078822303454
     - type: euclidean_spearman
-      value: 64.96309119412786
+      value: 65.0820865487212
     - type: manhattan_pearson
-      value: 63.36833986897711
+      value: 63.510532363654725
     - type: manhattan_spearman
-      value: 64.95000035386369
+      value: 65.06622789125241
   - task:
       type: Clustering
     dataset:
@@ -90,7 +90,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 40.26570556670306
+      value: 39.5071157612481
   - task:
       type: Clustering
     dataset:
@@ -101,7 +101,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 37.68621168788469
+      value: 37.99964332311132
   - task:
       type: Reranking
     dataset:
@@ -112,9 +112,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 84.40938491415716
+      value: 84.67010533089491
     - type: mrr
-      value: 86.86722222222222
+      value: 86.99488095238095
   - task:
       type: Reranking
     dataset:
@@ -125,9 +125,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 85.2507433210034
+      value: 85.27288868896477
     - type: mrr
-      value: 87.58742063492063
+      value: 87.5929761904762
   - task:
       type: Retrieval
     dataset:
@@ -138,65 +138,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 24.043999999999997
+      value: 23.949
     - type: map_at_10
-      value: 35.311
+      value: 35.394
     - type: map_at_100
-      value: 37.125
+      value: 37.235
     - type: map_at_1000
-      value: 37.26
+      value: 37.364999999999995
     - type: map_at_3
-      value: 31.342
+      value: 31.433
     - type: map_at_5
-      value: 33.613
+      value: 33.668
     - type: mrr_at_1
-      value: 36.909
+      value: 36.834
     - type: mrr_at_10
-      value: 44.373000000000005
+      value: 44.451
     - type: mrr_at_100
-      value: 45.367000000000004
+      value: 45.445
     - type: mrr_at_1000
-      value: 45.422000000000004
+      value: 45.501000000000005
     - type: mrr_at_3
-      value: 41.927
+      value: 42.010999999999996
     - type: mrr_at_5
-      value: 43.292
+      value: 43.34
     - type: ndcg_at_1
-      value: 36.909
+      value: 36.834
     - type: ndcg_at_10
-      value: 41.666
+      value: 41.803000000000004
     - type: ndcg_at_100
-      value: 48.915
+      value: 49.091
     - type: ndcg_at_1000
-      value: 51.348000000000006
+      value: 51.474
     - type: ndcg_at_3
-      value: 36.592
+      value: 36.736000000000004
     - type: ndcg_at_5
-      value: 38.787
+      value: 38.868
     - type: precision_at_1
-      value: 36.909
+      value: 36.834
     - type: precision_at_10
-      value: 9.327
+      value: 9.354999999999999
     - type: precision_at_100
-      value: 1.5230000000000001
+      value: 1.5310000000000001
     - type: precision_at_1000
       value: 0.183
     - type: precision_at_3
-      value: 20.671999999999997
+      value: 20.78
     - type: precision_at_5
-      value: 15.179
+      value: 15.238999999999999
     - type: recall_at_1
-      value: 24.043999999999997
+      value: 23.949
     - type: recall_at_10
-      value: 51.370000000000005
+      value: 51.68000000000001
     - type: recall_at_100
-      value: 81.569
+      value: 81.938
     - type: recall_at_1000
-      value: 98.053
+      value: 98.091
     - type: recall_at_3
-      value: 36.120000000000005
+      value: 36.408
     - type: recall_at_5
-      value: 42.829
+      value: 42.952
   - task:
       type: PairClassification
     dataset:
@@ -207,51 +207,51 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_accuracy
-      value: 75.92303066746842
+      value: 76.24774503908598
     - type: cos_sim_ap
-      value: 84.39741959629595
+      value: 84.76081551540754
     - type: cos_sim_f1
-      value: 77.28710064333224
+      value: 77.76321537789427
     - type: cos_sim_precision
-      value: 72.41520228851655
+      value: 72.96577167452347
     - type: cos_sim_recall
-      value: 82.8618190320318
+      value: 83.23591302314706
     - type: dot_accuracy
-      value: 75.92303066746842
+      value: 76.24774503908598
     - type: dot_ap
-      value: 84.39592659189601
+      value: 84.75968761251127
     - type: dot_f1
-      value: 77.28710064333224
+      value: 77.76321537789427
     - type: dot_precision
-      value: 72.41520228851655
+      value: 72.96577167452347
     - type: dot_recall
-      value: 82.8618190320318
+      value: 83.23591302314706
     - type: euclidean_accuracy
-      value: 75.92303066746842
+      value: 76.24774503908598
     - type: euclidean_ap
-      value: 84.39741904478117
+      value: 84.7608250840413
     - type: euclidean_f1
-      value: 77.28710064333224
+      value: 77.76321537789427
     - type: euclidean_precision
-      value: 72.41520228851655
+      value: 72.96577167452347
     - type: euclidean_recall
-      value: 82.8618190320318
+      value: 83.23591302314706
     - type: manhattan_accuracy
-      value: 75.83884546001202
+      value: 76.19963920625375
     - type: manhattan_ap
-      value: 84.39482592167423
+      value: 84.76313920535411
     - type: manhattan_f1
-      value: 77.2419718612394
+      value: 77.74253527288636
     - type: manhattan_precision
-      value: 71.43424711958681
+      value: 73.0374023838882
     - type: manhattan_recall
-      value: 84.07762450315643
+      value: 83.09562777647884
     - type: max_accuracy
-      value: 75.92303066746842
+      value: 76.24774503908598
     - type: max_ap
-      value: 84.39741959629595
+      value: 84.76313920535411
     - type: max_f1
-      value: 77.28710064333224
+      value: 77.76321537789427
   - task:
       type: Retrieval
     dataset:
@@ -262,65 +262,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 67.65
+      value: 66.149
     - type: map_at_10
-      value: 75.672
+      value: 75.22999999999999
     - type: map_at_100
-      value: 76.005
+      value: 75.536
     - type: map_at_1000
-      value: 76.007
+      value: 75.542
     - type: map_at_3
-      value: 73.867
+      value: 73.384
     - type: map_at_5
-      value: 74.949
+      value: 74.459
     - type: mrr_at_1
-      value: 67.756
+      value: 66.28
     - type: mrr_at_10
-      value: 75.64
+      value: 75.232
     - type: mrr_at_100
-      value: 75.973
+      value: 75.52799999999999
     - type: mrr_at_1000
-      value: 75.97500000000001
+      value: 75.534
     - type: mrr_at_3
-      value: 73.867
+      value: 73.446
     - type: mrr_at_5
-      value: 74.984
+      value: 74.473
     - type: ndcg_at_1
-      value: 67.861
+      value: 66.386
     - type: ndcg_at_10
-      value: 79.393
+      value: 79.295
     - type: ndcg_at_100
-      value: 81.04400000000001
+      value: 80.741
     - type: ndcg_at_1000
-      value: 81.15299999999999
+      value: 80.891
     - type: ndcg_at_3
-      value: 75.767
+      value: 75.613
     - type: ndcg_at_5
-      value: 77.714
+      value: 77.46300000000001
     - type: precision_at_1
-      value: 67.861
+      value: 66.386
     - type: precision_at_10
-      value: 9.199
+      value: 9.283
     - type: precision_at_100
-      value: 0.9979999999999999
+      value: 0.996
     - type: precision_at_1000
       value: 0.101
     - type: precision_at_3
-      value: 27.222
+      value: 27.503
     - type: precision_at_5
-      value: 17.302
+      value: 17.408
     - type: recall_at_1
-      value: 67.65
+      value: 66.149
     - type: recall_at_10
-      value: 90.938
+      value: 91.886
     - type: recall_at_100
-      value: 98.736
+      value: 98.52499999999999
     - type: recall_at_1000
       value: 99.684
     - type: recall_at_3
-      value: 81.138
+      value: 81.849
     - type: recall_at_5
-      value: 85.827
+      value: 86.275
   - task:
       type: Retrieval
     dataset:
@@ -331,65 +331,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 25.407000000000004
+      value: 25.166
     - type: map_at_10
-      value: 79.001
+      value: 78.805
     - type: map_at_100
-      value: 81.98299999999999
+      value: 81.782
     - type: map_at_1000
-      value: 82.021
+      value: 81.818
     - type: map_at_3
-      value: 54.25600000000001
+      value: 54.226
     - type: map_at_5
-      value: 68.918
+      value: 68.783
     - type: mrr_at_1
-      value: 89.14999999999999
+      value: 88.6
     - type: mrr_at_10
-      value: 92.548
+      value: 92.244
     - type: mrr_at_100
-      value: 92.61399999999999
+      value: 92.31899999999999
     - type: mrr_at_1000
-      value: 92.616
+      value: 92.321
     - type: mrr_at_3
-      value: 92.175
+      value: 91.867
     - type: mrr_at_5
-      value: 92.432
+      value: 92.119
     - type: ndcg_at_1
-      value: 89.14999999999999
+      value: 88.6
     - type: ndcg_at_10
-      value: 86.588
+      value: 86.432
     - type: ndcg_at_100
-      value: 89.48700000000001
+      value: 89.357
     - type: ndcg_at_1000
-      value: 89.84100000000001
+      value: 89.688
     - type: ndcg_at_3
-      value: 85.00999999999999
+      value: 84.90299999999999
     - type: ndcg_at_5
-      value: 84.301
+      value: 84.137
     - type: precision_at_1
-      value: 89.14999999999999
+      value: 88.6
     - type: precision_at_10
-      value: 41.71
+      value: 41.685
     - type: precision_at_100
-      value: 4.807
+      value: 4.811
     - type: precision_at_1000
       value: 0.48900000000000005
     - type: precision_at_3
-      value: 76.417
+      value: 76.44999999999999
     - type: precision_at_5
-      value: 64.95
+      value: 64.87
     - type: recall_at_1
-      value: 25.407000000000004
+      value: 25.166
     - type: recall_at_10
-      value: 88.221
+      value: 88.227
     - type: recall_at_100
-      value: 97.527
+      value: 97.597
     - type: recall_at_1000
-      value: 99.396
+      value: 99.359
     - type: recall_at_3
-      value: 56.751
+      value: 56.946
     - type: recall_at_5
-      value: 74.191
+      value: 74.261
   - task:
       type: Retrieval
     dataset:
@@ -400,65 +400,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 47.599999999999994
+      value: 48.3
     - type: map_at_10
-      value: 57.15
+      value: 57.635999999999996
     - type: map_at_100
-      value: 57.789
+      value: 58.306000000000004
     - type: map_at_1000
-      value: 57.80800000000001
+      value: 58.326
     - type: map_at_3
-      value: 54.467
+      value: 54.900000000000006
     - type: map_at_5
-      value: 56.016999999999996
+      value: 56.620000000000005
     - type: mrr_at_1
-      value: 47.599999999999994
+      value: 48.3
     - type: mrr_at_10
-      value: 57.15
+      value: 57.635999999999996
     - type: mrr_at_100
-      value: 57.789
+      value: 58.306000000000004
     - type: mrr_at_1000
-      value: 57.80800000000001
+      value: 58.326
     - type: mrr_at_3
-      value: 54.467
+      value: 54.900000000000006
     - type: mrr_at_5
-      value: 56.016999999999996
+      value: 56.620000000000005
     - type: ndcg_at_1
-      value: 47.599999999999994
+      value: 48.3
     - type: ndcg_at_10
-      value: 62.304
+      value: 62.638000000000005
     - type: ndcg_at_100
-      value: 65.32900000000001
+      value: 65.726
     - type: ndcg_at_1000
-      value: 65.837
+      value: 66.253
     - type: ndcg_at_3
-      value: 56.757000000000005
+      value: 57.081
     - type: ndcg_at_5
-      value: 59.575
+      value: 60.217
     - type: precision_at_1
-      value: 47.599999999999994
+      value: 48.3
     - type: precision_at_10
-      value: 7.870000000000001
+      value: 7.85
     - type: precision_at_100
-      value: 0.9259999999999999
+      value: 0.9249999999999999
     - type: precision_at_1000
       value: 0.097
     - type: precision_at_3
       value: 21.133
     - type: precision_at_5
-      value: 14.06
+      value: 14.219999999999999
     - type: recall_at_1
-      value: 47.599999999999994
+      value: 48.3
     - type: recall_at_10
-      value: 78.7
+      value: 78.5
     - type: recall_at_100
-      value: 92.60000000000001
+      value: 92.5
     - type: recall_at_1000
       value: 96.6
     - type: recall_at_3
       value: 63.4
     - type: recall_at_5
-      value: 70.3
+      value: 71.1
   - task:
       type: Classification
     dataset:
@@ -469,9 +469,9 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 48.28010773374375
+      value: 47.9646017699115
     - type: f1
-      value: 35.536995302144916
+      value: 35.03552351349023
   - task:
       type: Classification
     dataset:
@@ -482,11 +482,11 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 84.8405253283302
+      value: 84.8968105065666
     - type: ap
-      value: 52.35323515091401
+      value: 52.564605306946774
     - type: f1
-      value: 79.50069160202494
+      value: 79.59880155481291
   - task:
       type: STS
     dataset:
@@ -497,17 +497,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 69.68404288794713
+      value: 70.03662039861051
     - type: cos_sim_spearman
-      value: 77.06824442481803
+      value: 76.9642260444222
     - type: euclidean_pearson
-      value: 75.47746745802166
+      value: 75.47376966815843
     - type: euclidean_spearman
-      value: 77.06825328995878
+      value: 76.9642282583736
     - type: manhattan_pearson
-      value: 75.46220581621667
+      value: 75.45535385433548
     - type: manhattan_spearman
-      value: 77.05100926919137
+      value: 76.94609742735338
   - task:
       type: Retrieval
     dataset:
@@ -518,65 +518,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 65.36800000000001
+      value: 65.604
     - type: map_at_10
-      value: 74.29400000000001
+      value: 74.522
     - type: map_at_100
-      value: 74.653
+      value: 74.878
     - type: map_at_1000
-      value: 74.664
+      value: 74.889
     - type: map_at_3
-      value: 72.416
+      value: 72.61
     - type: map_at_5
-      value: 73.658
+      value: 73.882
     - type: mrr_at_1
-      value: 67.50699999999999
+      value: 67.75099999999999
     - type: mrr_at_10
-      value: 74.85300000000001
+      value: 75.08399999999999
     - type: mrr_at_100
-      value: 75.17399999999999
+      value: 75.402
     - type: mrr_at_1000
-      value: 75.184
+      value: 75.412
     - type: mrr_at_3
-      value: 73.235
+      value: 73.446
     - type: mrr_at_5
-      value: 74.298
+      value: 74.531
     - type: ndcg_at_1
-      value: 67.50699999999999
+      value: 67.75099999999999
     - type: ndcg_at_10
-      value: 77.948
+      value: 78.172
     - type: ndcg_at_100
-      value: 79.55499999999999
+      value: 79.753
     - type: ndcg_at_1000
-      value: 79.864
+      value: 80.06400000000001
     - type: ndcg_at_3
-      value: 74.434
+      value: 74.607
     - type: ndcg_at_5
-      value: 76.504
+      value: 76.728
     - type: precision_at_1
-      value: 67.50699999999999
+      value: 67.75099999999999
     - type: precision_at_10
-      value: 9.423
+      value: 9.443999999999999
     - type: precision_at_100
-      value: 1.022
+      value: 1.023
     - type: precision_at_1000
       value: 0.105
     - type: precision_at_3
-      value: 27.975
+      value: 28.009
     - type: precision_at_5
-      value: 17.891000000000002
+      value: 17.934
     - type: recall_at_1
-      value: 65.36800000000001
+      value: 65.604
     - type: recall_at_10
-      value: 88.633
+      value: 88.84100000000001
     - type: recall_at_100
-      value: 95.889
+      value: 95.954
     - type: recall_at_1000
-      value: 98.346
+      value: 98.425
     - type: recall_at_3
-      value: 79.404
+      value: 79.497
     - type: recall_at_5
-      value: 84.292
+      value: 84.515
   - task:
       type: Classification
     dataset:
@@ -587,9 +587,9 @@ model-index:
       revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
     metrics:
     - type: accuracy
-      value: 67.45124411566913
+      value: 67.64963012777405
     - type: f1
-      value: 64.77175074397455
+      value: 65.01092085388518
   - task:
       type: Classification
     dataset:
@@ -600,9 +600,9 @@ model-index:
       revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
-      value: 73.08002689979824
+      value: 72.9724277067922
     - type: f1
-      value: 72.65358173635958
+      value: 72.48003852874602
   - task:
       type: Retrieval
     dataset:
@@ -613,65 +613,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 48.699999999999996
+      value: 48.9
     - type: map_at_10
-      value: 54.871
+      value: 55.189
     - type: map_at_100
-      value: 55.381
+      value: 55.687
     - type: map_at_1000
-      value: 55.43599999999999
+      value: 55.74400000000001
     - type: map_at_3
-      value: 53.367
+      value: 53.75
     - type: map_at_5
-      value: 54.257
+      value: 54.555
     - type: mrr_at_1
-      value: 48.699999999999996
+      value: 49.1
     - type: mrr_at_10
-      value: 54.871
+      value: 55.289
     - type: mrr_at_100
-      value: 55.381
+      value: 55.788000000000004
     - type: mrr_at_1000
-      value: 55.43599999999999
+      value: 55.845
     - type: mrr_at_3
-      value: 53.367
+      value: 53.849999999999994
     - type: mrr_at_5
-      value: 54.257
+      value: 54.655
     - type: ndcg_at_1
-      value: 48.699999999999996
+      value: 48.9
     - type: ndcg_at_10
-      value: 57.94200000000001
+      value: 58.275
     - type: ndcg_at_100
-      value: 60.75000000000001
+      value: 60.980000000000004
     - type: ndcg_at_1000
-      value: 62.400999999999996
+      value: 62.672000000000004
     - type: ndcg_at_3
-      value: 54.867
+      value: 55.282
     - type: ndcg_at_5
-      value: 56.493
+      value: 56.749
     - type: precision_at_1
-      value: 48.699999999999996
+      value: 48.9
     - type: precision_at_10
-      value: 6.76
+      value: 6.800000000000001
     - type: precision_at_100
-      value: 0.815
+      value: 0.8130000000000001
     - type: precision_at_1000
       value: 0.095
     - type: precision_at_3
-      value: 19.733
+      value: 19.900000000000002
     - type: precision_at_5
-      value: 12.64
+      value: 12.659999999999998
     - type: recall_at_1
-      value: 48.699999999999996
+      value: 48.9
     - type: recall_at_10
-      value: 67.60000000000001
+      value: 68.0
     - type: recall_at_100
-      value: 81.5
+      value: 81.3
     - type: recall_at_1000
-      value: 94.89999999999999
+      value: 95.0
     - type: recall_at_3
-      value: 59.199999999999996
+      value: 59.699999999999996
     - type: recall_at_5
-      value: 63.2
+      value: 63.3
   - task:
       type: Classification
     dataset:
@@ -682,9 +682,9 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 71.27000000000001
+      value: 71.53666666666668
     - type: f1
-      value: 70.46516219039894
+      value: 70.74267338218574
   - task:
       type: PairClassification
     dataset:
@@ -695,51 +695,51 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_accuracy
-      value: 69.89713048186248
+      value: 70.43854899837575
     - type: cos_sim_ap
-      value: 74.75296949416844
+      value: 75.25713109733296
     - type: cos_sim_f1
-      value: 73.0820399113082
+      value: 73.18777292576418
     - type: cos_sim_precision
-      value: 62.99694189602446
+      value: 62.397617274758
     - type: cos_sim_recall
-      value: 87.0116156282999
+      value: 88.48996832101372
     - type: dot_accuracy
-      value: 69.89713048186248
+      value: 70.43854899837575
     - type: dot_ap
-      value: 74.75289228002875
+      value: 75.25713109733296
     - type: dot_f1
-      value: 73.0820399113082
+      value: 73.18777292576418
     - type: dot_precision
-      value: 62.99694189602446
+      value: 62.397617274758
     - type: dot_recall
-      value: 87.0116156282999
+      value: 88.48996832101372
     - type: euclidean_accuracy
-      value: 69.89713048186248
+      value: 70.43854899837575
     - type: euclidean_ap
-      value: 74.75289228002875
+      value: 75.25713109733296
     - type: euclidean_f1
-      value: 73.0820399113082
+      value: 73.18777292576418
     - type: euclidean_precision
-      value: 62.99694189602446
+      value: 62.397617274758
     - type: euclidean_recall
-      value: 87.0116156282999
+      value: 88.48996832101372
     - type: manhattan_accuracy
-      value: 69.9512723335138
+      value: 70.60097455332972
     - type: manhattan_ap
-      value: 74.63572749955489
+      value: 75.22177995740668
     - type: manhattan_f1
-      value: 72.80663465735486
+      value: 73.13750532141337
     - type: manhattan_precision
-      value: 62.05357142857143
+      value: 61.26961483594865
     - type: manhattan_recall
-      value: 88.0675818373812
+      value: 90.70749736008447
     - type: max_accuracy
-      value: 69.9512723335138
+      value: 70.60097455332972
     - type: max_ap
-      value: 74.75296949416844
+      value: 75.25713109733296
     - type: max_f1
-      value: 73.0820399113082
+      value: 73.18777292576418
   - task:
       type: Classification
     dataset:
@@ -750,11 +750,11 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 91.38
+      value: 91.3
     - type: ap
-      value: 89.14371766660247
+      value: 89.03601366589187
     - type: f1
-      value: 91.3668296299526
+      value: 91.28612226957141
   - task:
       type: STS
     dataset:
@@ -765,17 +765,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 23.621683997579606
+      value: 24.254041798082984
     - type: cos_sim_spearman
-      value: 29.46714129804792
+      value: 30.029755057178846
     - type: euclidean_pearson
-      value: 29.841725912733487
+      value: 30.394005237465905
     - type: euclidean_spearman
-      value: 29.466951993706992
+      value: 30.029751825186153
     - type: manhattan_pearson
-      value: 29.853598937043625
+      value: 30.400683181995863
     - type: manhattan_spearman
-      value: 29.42340511723847
+      value: 29.981240616043326
   - task:
       type: STS
     dataset:
@@ -786,17 +786,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 34.86196986379606
+      value: 35.09911024323138
     - type: cos_sim_spearman
-      value: 37.316873994339986
+      value: 37.49790006053554
     - type: euclidean_pearson
-      value: 35.52672274329054
+      value: 35.65689785105493
     - type: euclidean_spearman
-      value: 37.316799507511014
+      value: 37.498032509597344
     - type: manhattan_pearson
-      value: 35.55879437844226
+      value: 35.68350134483341
     - type: manhattan_spearman
-      value: 37.369433247035474
+      value: 37.54046578100128
   - task:
       type: STS
     dataset:
@@ -807,17 +807,17 @@ model-index:
       revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
     metrics:
     - type: cos_sim_pearson
-      value: 68.7924534800626
+      value: 68.26707578158273
     - type: cos_sim_spearman
-      value: 69.45014686127368
+      value: 69.19741429899995
     - type: euclidean_pearson
-      value: 69.12500964503516
+      value: 68.53026048034656
     - type: euclidean_spearman
-      value: 69.45014686127368
+      value: 69.1974135636389
     - type: manhattan_pearson
-      value: 70.53825064823806
+      value: 70.02306646353263
     - type: manhattan_spearman
-      value: 70.67595198226869
+      value: 70.46158498712836
   - task:
       type: STS
     dataset:
@@ -828,17 +828,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 79.02281275805849
+      value: 78.88749955421177
     - type: cos_sim_spearman
-      value: 79.69275718339352
+      value: 79.56695106617856
     - type: euclidean_pearson
-      value: 79.39660648560955
+      value: 79.13787024514338
     - type: euclidean_spearman
-      value: 79.69291851788452
+      value: 79.56690827015423
     - type: manhattan_pearson
-      value: 79.3382690172365
+      value: 79.08154812411563
     - type: manhattan_spearman
-      value: 79.63605584076028
+      value: 79.52391077945943
   - task:
       type: Reranking
     dataset:
@@ -849,9 +849,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 66.1994271234341
+      value: 65.78663254562939
     - type: mrr
-      value: 75.76681067371655
+      value: 74.9786877626248
   - task:
       type: Retrieval
     dataset:
@@ -862,65 +862,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.594
+      value: 26.169999999999998
     - type: map_at_10
-      value: 75.27199999999999
+      value: 74.009
     - type: map_at_100
-      value: 78.96
+      value: 77.788
     - type: map_at_1000
-      value: 79.032
+      value: 77.866
     - type: map_at_3
-      value: 52.76
+      value: 51.861000000000004
     - type: map_at_5
-      value: 64.967
+      value: 63.775000000000006
     - type: mrr_at_1
-      value: 88.721
+      value: 87.748
     - type: mrr_at_10
-      value: 91.38
+      value: 90.737
     - type: mrr_at_100
-      value: 91.484
+      value: 90.84400000000001
     - type: mrr_at_1000
-      value: 91.489
+      value: 90.849
     - type: mrr_at_3
-      value: 90.901
+      value: 90.257
     - type: mrr_at_5
-      value: 91.21000000000001
+      value: 90.54299999999999
     - type: ndcg_at_1
-      value: 88.721
+      value: 87.748
     - type: ndcg_at_10
-      value: 83.099
+      value: 82.114
     - type: ndcg_at_100
-      value: 86.938
+      value: 86.148
     - type: ndcg_at_1000
-      value: 87.644
+      value: 86.913
     - type: ndcg_at_3
-      value: 84.573
+      value: 83.54599999999999
     - type: ndcg_at_5
-      value: 83.131
+      value: 81.987
     - type: precision_at_1
-      value: 88.721
+      value: 87.748
     - type: precision_at_10
-      value: 41.506
+      value: 41.076
     - type: precision_at_100
-      value: 4.99
+      value: 4.976
     - type: precision_at_1000
       value: 0.515
     - type: precision_at_3
-      value: 74.214
+      value: 73.282
     - type: precision_at_5
-      value: 62.244
+      value: 61.351
     - type: recall_at_1
-      value: 26.594
+      value: 26.169999999999998
     - type: recall_at_10
-      value: 82.121
+      value: 81.292
     - type: recall_at_100
-      value: 94.643
+      value: 94.285
     - type: recall_at_1000
-      value: 98.261
+      value: 98.221
     - type: recall_at_3
-      value: 54.539
+      value: 53.824000000000005
     - type: recall_at_5
-      value: 68.573
+      value: 67.547
   - task:
       type: Classification
     dataset:
@@ -931,9 +931,9 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 51.845
+      value: 51.564
     - type: f1
-      value: 49.97529772676145
+      value: 49.711462885083286
   - task:
       type: Clustering
     dataset:
@@ -944,7 +944,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 62.34936773593232
+      value: 62.57078038998942
   - task:
       type: Clustering
     dataset:
@@ -955,7 +955,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 58.65057354232379
+      value: 57.842602165392144
   - task:
       type: Retrieval
     dataset:
@@ -966,65 +966,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 52.2
+      value: 52.0
     - type: map_at_10
-      value: 62.669
+      value: 62.932
     - type: map_at_100
-      value: 63.239000000000004
+      value: 63.471999999999994
     - type: map_at_1000
-      value: 63.253
+      value: 63.483999999999995
     - type: map_at_3
-      value: 60.267
+      value: 60.516999999999996
     - type: map_at_5
-      value: 61.772000000000006
+      value: 62.097
     - type: mrr_at_1
-      value: 52.2
+      value: 52.0
     - type: mrr_at_10
-      value: 62.669
+      value: 62.932
     - type: mrr_at_100
-      value: 63.239000000000004
+      value: 63.471999999999994
     - type: mrr_at_1000
-      value: 63.253
+      value: 63.483999999999995
     - type: mrr_at_3
-      value: 60.267
+      value: 60.516999999999996
     - type: mrr_at_5
-      value: 61.772000000000006
+      value: 62.097
     - type: ndcg_at_1
-      value: 52.2
+      value: 52.0
     - type: ndcg_at_10
-      value: 67.583
+      value: 67.963
     - type: ndcg_at_100
-      value: 70.30499999999999
+      value: 70.598
     - type: ndcg_at_1000
-      value: 70.652
+      value: 70.896
     - type: ndcg_at_3
-      value: 62.775999999999996
+      value: 63.144
     - type: ndcg_at_5
-      value: 65.47
+      value: 65.988
     - type: precision_at_1
-      value: 52.2
+      value: 52.0
     - type: precision_at_10
-      value: 8.290000000000001
+      value: 8.36
     - type: precision_at_100
-      value: 0.955
+      value: 0.959
     - type: precision_at_1000
       value: 0.098
     - type: precision_at_3
-      value: 23.333000000000002
+      value: 23.567
     - type: precision_at_5
-      value: 15.299999999999999
+      value: 15.52
     - type: recall_at_1
-      value: 52.2
+      value: 52.0
     - type: recall_at_10
-      value: 82.89999999999999
+      value: 83.6
     - type: recall_at_100
-      value: 95.5
+      value: 95.89999999999999
     - type: recall_at_1000
       value: 98.2
     - type: recall_at_3
-      value: 70.0
+      value: 70.7
     - type: recall_at_5
-      value: 76.5
+      value: 77.60000000000001
   - task:
       type: Classification
     dataset:
@@ -1035,11 +1035,11 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 86.64999999999999
+      value: 86.65999999999998
     - type: ap
-      value: 69.90209999390807
+      value: 69.91988858863054
     - type: f1
-      value: 84.9231810656075
+      value: 84.92982698422784
   - task:
       type: Reranking
     dataset:
@@ -1050,7 +1050,7 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 28.09825725416088
+      value: 27.838972963193315
     - type: mrr
-      value: 26.95912698412698
+      value: 26.65238095238095
 ---