Update README.md

README.md

@@ -14,11 +14,11 @@ model-index:
       revision: e8379541af4e31359cca9fbcf4b00f2671dba205
     metrics:
     - type: accuracy
-      value: 77.56716417910448
+      value: 78.67164179104476
     - type: ap
-      value: 40.91549063721234
+      value: 42.7379383648841
     - type: f1
-      value: 71.51708294746035
+      value: 72.79997373883408
   - task:
       type: Classification
     dataset:
@@ -29,11 +29,11 @@ model-index:
       revision: e2d317d38cd51312af73b3d32a06d1a08b442046
     metrics:
     - type: accuracy
-      value: 89.50825
+      value: 90.413775
     - type: ap
-      value: 86.00556056390054
+      value: 87.08812293673202
     - type: f1
-      value: 89.48068855084334
+      value: 90.39246586225426
   - task:
       type: Classification
     dataset:
@@ -44,9 +44,9 @@ model-index:
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
-      value: 46.82399999999999
+      value: 47.80799999999999
     - type: f1
-      value: 46.272112748273315
+      value: 47.25679462673503
   - task:
       type: Retrieval
     dataset:
@@ -57,65 +57,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 28.592000000000002
+      value: 30.37
     - type: map_at_10
-      value: 44.37
+      value: 45.748
     - type: map_at_100
-      value: 45.355000000000004
+      value: 46.617
     - type: map_at_1000
-      value: 45.363
+      value: 46.622
     - type: map_at_3
-      value: 39.272
+      value: 40.564
     - type: map_at_5
-      value: 42.405
+      value: 43.69
     - type: mrr_at_1
-      value: 29.445
+      value: 30.868000000000002
     - type: mrr_at_10
-      value: 44.668
+      value: 45.905
     - type: mrr_at_100
-      value: 45.646
+      value: 46.787
     - type: mrr_at_1000
-      value: 45.655
+      value: 46.792
     - type: mrr_at_3
-      value: 39.545
+      value: 40.717999999999996
     - type: mrr_at_5
-      value: 42.674
+      value: 43.851
     - type: ndcg_at_1
-      value: 28.592000000000002
+      value: 30.37
     - type: ndcg_at_10
-      value: 53.230999999999995
+      value: 54.662
     - type: ndcg_at_100
-      value: 57.188
+      value: 58.23700000000001
     - type: ndcg_at_1000
-      value: 57.371
+      value: 58.373
     - type: ndcg_at_3
-      value: 42.842
+      value: 44.069
     - type: ndcg_at_5
-      value: 48.538
+      value: 49.728
     - type: precision_at_1
-      value: 28.592000000000002
+      value: 30.37
     - type: precision_at_10
-      value: 8.151
+      value: 8.321000000000002
     - type: precision_at_100
-      value: 0.9820000000000001
+      value: 0.985
     - type: precision_at_1000
       value: 0.1
     - type: precision_at_3
-      value: 17.733999999999998
+      value: 18.089
     - type: precision_at_5
-      value: 13.428
+      value: 13.613
     - type: recall_at_1
-      value: 28.592000000000002
+      value: 30.37
     - type: recall_at_10
-      value: 81.50800000000001
+      value: 83.21499999999999
     - type: recall_at_100
-      value: 98.222
+      value: 98.506
     - type: recall_at_1000
       value: 99.57300000000001
     - type: recall_at_3
-      value: 53.201
+      value: 54.266999999999996
     - type: recall_at_5
-      value: 67.14099999999999
+      value: 68.065
   - task:
       type: Clustering
     dataset:
@@ -126,7 +126,7 @@ model-index:
       revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
     metrics:
     - type: v_measure
-      value: 45.83975081280601
+      value: 45.85329429748079
   - task:
       type: Clustering
     dataset:
@@ -137,7 +137,7 @@ model-index:
       revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
     metrics:
     - type: v_measure
-      value: 36.20880276672235
+      value: 36.12666783330692
   - task:
       type: Reranking
     dataset:
@@ -148,9 +148,9 @@ model-index:
       revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
     metrics:
     - type: map
-      value: 60.88591268158169
+      value: 57.58783867794241
     - type: mrr
-      value: 75.19709361122104
+      value: 71.84078617596622
   - task:
       type: STS
     dataset:
@@ -161,17 +161,17 @@ model-index:
       revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
     metrics:
     - type: cos_sim_pearson
-      value: 89.65453333525659
+      value: 87.92453139507079
     - type: cos_sim_spearman
-      value: 86.84535232424253
+      value: 85.37122234964886
     - type: euclidean_pearson
-      value: 88.44638498736246
+      value: 86.19345621799168
     - type: euclidean_spearman
-      value: 86.84535232424253
+      value: 85.37122234964886
     - type: manhattan_pearson
-      value: 88.73402151565195
+      value: 86.4685290616604
     - type: manhattan_spearman
-      value: 87.24415659199119
+      value: 85.91400580167537
   - task:
       type: Classification
     dataset:
@@ -182,9 +182,9 @@ model-index:
       revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
     metrics:
     - type: accuracy
-      value: 84.7564935064935
+      value: 83.81818181818181
     - type: f1
-      value: 84.70138093263196
+      value: 83.76155217378863
   - task:
       type: Clustering
     dataset:
@@ -195,7 +195,7 @@ model-index:
       revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
     metrics:
     - type: v_measure
-      value: 38.272839537742655
+      value: 38.46362764203256
   - task:
       type: Clustering
     dataset:
@@ -206,7 +206,7 @@ model-index:
       revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
     metrics:
     - type: v_measure
-      value: 33.03251777955244
+      value: 33.13807021168658
   - task:
       type: Retrieval
     dataset:
@@ -217,65 +217,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 30.319000000000003
+      value: 29.725
     - type: map_at_10
-      value: 40.161
+      value: 39.654
     - type: map_at_100
-      value: 41.557
+      value: 41.022
     - type: map_at_1000
-      value: 41.678
+      value: 41.144999999999996
     - type: map_at_3
-      value: 37.008
+      value: 36.819
     - type: map_at_5
-      value: 38.592
+      value: 38.376
     - type: mrr_at_1
-      value: 37.053000000000004
+      value: 36.195
     - type: mrr_at_10
-      value: 45.597
+      value: 45.171
     - type: mrr_at_100
-      value: 46.443
+      value: 45.987
     - type: mrr_at_1000
-      value: 46.489000000000004
+      value: 46.033
     - type: mrr_at_3
-      value: 43.085
+      value: 43.038
     - type: mrr_at_5
-      value: 44.43
+      value: 44.196000000000005
     - type: ndcg_at_1
-      value: 37.053000000000004
+      value: 36.195
     - type: ndcg_at_10
-      value: 45.948
+      value: 45.194
     - type: ndcg_at_100
-      value: 51.44800000000001
+      value: 50.516000000000005
     - type: ndcg_at_1000
-      value: 53.54
+      value: 52.739000000000004
     - type: ndcg_at_3
-      value: 41.316
+      value: 41.142
     - type: ndcg_at_5
-      value: 43.15
+      value: 42.973
     - type: precision_at_1
-      value: 37.053000000000004
+      value: 36.195
     - type: precision_at_10
-      value: 8.569
+      value: 8.312
     - type: precision_at_100
-      value: 1.425
+      value: 1.346
     - type: precision_at_1000
-      value: 0.189
+      value: 0.182
     - type: precision_at_3
-      value: 19.695
+      value: 19.599
     - type: precision_at_5
-      value: 13.763
+      value: 13.847999999999999
     - type: recall_at_1
-      value: 30.319000000000003
+      value: 29.725
     - type: recall_at_10
-      value: 57.233000000000004
+      value: 55.51199999999999
     - type: recall_at_100
-      value: 80.441
+      value: 78.182
     - type: recall_at_1000
-      value: 94.041
+      value: 92.727
     - type: recall_at_3
-      value: 43.028
+      value: 43.287
     - type: recall_at_5
-      value: 48.806
+      value: 48.732
   - task:
       type: Retrieval
     dataset:
@@ -286,65 +286,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 31.022
+      value: 30.23
     - type: map_at_10
-      value: 41.305
+      value: 40.091
     - type: map_at_100
-      value: 42.576
+      value: 41.251
     - type: map_at_1000
-      value: 42.707
+      value: 41.384
     - type: map_at_3
-      value: 38.271
+      value: 37.247
     - type: map_at_5
-      value: 40.048
+      value: 38.865
     - type: mrr_at_1
-      value: 39.427
+      value: 38.279999999999994
     - type: mrr_at_10
-      value: 47.707
+      value: 46.288000000000004
     - type: mrr_at_100
-      value: 48.394
+      value: 47.022999999999996
     - type: mrr_at_1000
-      value: 48.439
+      value: 47.068
     - type: mrr_at_3
-      value: 45.552
+      value: 44.395
     - type: mrr_at_5
-      value: 46.823
+      value: 45.446
     - type: ndcg_at_1
-      value: 39.427
+      value: 38.279999999999994
     - type: ndcg_at_10
-      value: 47.121
+      value: 45.647
     - type: ndcg_at_100
-      value: 51.458999999999996
+      value: 49.851
     - type: ndcg_at_1000
-      value: 53.461000000000006
+      value: 51.991
     - type: ndcg_at_3
-      value: 43.001
+      value: 41.795
     - type: ndcg_at_5
-      value: 45.025
+      value: 43.578
     - type: precision_at_1
-      value: 39.427
+      value: 38.279999999999994
     - type: precision_at_10
-      value: 8.994
+      value: 8.522
     - type: precision_at_100
-      value: 1.456
+      value: 1.361
     - type: precision_at_1000
-      value: 0.192
+      value: 0.185
     - type: precision_at_3
-      value: 20.913
+      value: 20.297
     - type: precision_at_5
-      value: 14.917
+      value: 14.255
     - type: recall_at_1
-      value: 31.022
+      value: 30.23
     - type: recall_at_10
-      value: 56.769999999999996
+      value: 55.094
     - type: recall_at_100
-      value: 75.154
+      value: 72.887
     - type: recall_at_1000
-      value: 87.832
+      value: 86.295
     - type: recall_at_3
-      value: 44.295
+      value: 43.244
     - type: recall_at_5
-      value: 50.041000000000004
+      value: 48.507
   - task:
       type: Retrieval
     dataset:
@@ -355,65 +355,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 41.021
+      value: 40.854
     - type: map_at_10
-      value: 52.931
+      value: 52.232
     - type: map_at_100
-      value: 53.846000000000004
+      value: 53.129000000000005
     - type: map_at_1000
-      value: 53.905
+      value: 53.185
     - type: map_at_3
-      value: 49.952000000000005
+      value: 49.094
     - type: map_at_5
-      value: 51.566
+      value: 50.834999999999994
     - type: mrr_at_1
       value: 46.708
     - type: mrr_at_10
-      value: 56.467999999999996
+      value: 56.021
     - type: mrr_at_100
-      value: 57.06400000000001
+      value: 56.584
     - type: mrr_at_1000
-      value: 57.096999999999994
+      value: 56.611999999999995
     - type: mrr_at_3
-      value: 54.295
+      value: 53.657
     - type: mrr_at_5
-      value: 55.52
+      value: 55.027
     - type: ndcg_at_1
       value: 46.708
     - type: ndcg_at_10
-      value: 58.458
+      value: 57.89
     - type: ndcg_at_100
-      value: 62.21
+      value: 61.541999999999994
     - type: ndcg_at_1000
-      value: 63.438
+      value: 62.754
     - type: ndcg_at_3
-      value: 53.493
+      value: 52.632
     - type: ndcg_at_5
-      value: 55.824
+      value: 55.104
     - type: precision_at_1
       value: 46.708
     - type: precision_at_10
-      value: 9.166
+      value: 9.122
     - type: precision_at_100
-      value: 1.199
+      value: 1.187
     - type: precision_at_1000
-      value: 0.135
+      value: 0.134
     - type: precision_at_3
-      value: 23.532
+      value: 23.072
     - type: precision_at_5
-      value: 15.862000000000002
+      value: 15.661
     - type: recall_at_1
-      value: 41.021
+      value: 40.854
     - type: recall_at_10
-      value: 71.25
+      value: 70.98
     - type: recall_at_100
-      value: 87.507
+      value: 86.947
     - type: recall_at_1000
-      value: 96.206
+      value: 95.62
     - type: recall_at_3
-      value: 58.089
+      value: 56.782999999999994
     - type: recall_at_5
-      value: 63.82
+      value: 62.980000000000004
   - task:
       type: Retrieval
     dataset:
@@ -424,65 +424,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.413999999999998
+      value: 26.366
     - type: map_at_10
-      value: 34.404
+      value: 33.674
     - type: map_at_100
-      value: 35.359
+      value: 34.58
     - type: map_at_1000
-      value: 35.435
+      value: 34.662
     - type: map_at_3
-      value: 32.017
+      value: 31.596999999999998
     - type: map_at_5
-      value: 33.243
+      value: 32.596000000000004
     - type: mrr_at_1
-      value: 28.362
+      value: 28.588
     - type: mrr_at_10
-      value: 36.393
+      value: 35.912
     - type: mrr_at_100
-      value: 37.211
+      value: 36.696
     - type: mrr_at_1000
-      value: 37.273
+      value: 36.760999999999996
     - type: mrr_at_3
-      value: 33.992
+      value: 33.823
     - type: mrr_at_5
-      value: 35.309000000000005
+      value: 34.829
     - type: ndcg_at_1
-      value: 28.362
+      value: 28.588
     - type: ndcg_at_10
-      value: 38.964
+      value: 38.031
     - type: ndcg_at_100
-      value: 43.791000000000004
+      value: 42.678
     - type: ndcg_at_1000
-      value: 45.89
+      value: 44.871
     - type: ndcg_at_3
-      value: 34.201
+      value: 33.815
     - type: ndcg_at_5
-      value: 36.334
+      value: 35.531
     - type: precision_at_1
-      value: 28.362
+      value: 28.588
     - type: precision_at_10
-      value: 5.842
+      value: 5.638
     - type: precision_at_100
-      value: 0.868
+      value: 0.8380000000000001
     - type: precision_at_1000
-      value: 0.109
+      value: 0.106
     - type: precision_at_3
-      value: 14.049
+      value: 13.974
     - type: precision_at_5
-      value: 9.695
+      value: 9.401
     - type: recall_at_1
-      value: 26.413999999999998
+      value: 26.366
     - type: recall_at_10
-      value: 51.017999999999994
+      value: 49.353
     - type: recall_at_100
-      value: 73.551
+      value: 71.194
     - type: recall_at_1000
-      value: 89.51
+      value: 87.842
     - type: recall_at_3
-      value: 38.385000000000005
+      value: 37.829
     - type: recall_at_5
-      value: 43.351
+      value: 41.976
   - task:
       type: Retrieval
     dataset:
@@ -493,65 +493,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 17.721999999999998
+      value: 16.634
     - type: map_at_10
-      value: 24.55
+      value: 23.271
     - type: map_at_100
-      value: 25.586
+      value: 24.366
     - type: map_at_1000
-      value: 25.715
+      value: 24.484
     - type: map_at_3
-      value: 22.445
+      value: 21.075
     - type: map_at_5
-      value: 23.497
+      value: 22.364
     - type: mrr_at_1
-      value: 21.642
+      value: 20.522000000000002
     - type: mrr_at_10
-      value: 28.979
+      value: 27.735
     - type: mrr_at_100
-      value: 29.898000000000003
+      value: 28.691
     - type: mrr_at_1000
-      value: 29.981
+      value: 28.762999999999998
     - type: mrr_at_3
-      value: 26.886
+      value: 25.518
     - type: mrr_at_5
-      value: 28.055999999999997
+      value: 26.762000000000004
     - type: ndcg_at_1
-      value: 21.642
+      value: 20.522000000000002
     - type: ndcg_at_10
-      value: 29.158
+      value: 27.791
     - type: ndcg_at_100
-      value: 34.352
+      value: 33.101
     - type: ndcg_at_1000
-      value: 37.456
+      value: 36.075
     - type: ndcg_at_3
-      value: 25.302000000000003
+      value: 23.74
     - type: ndcg_at_5
-      value: 26.916
+      value: 25.691000000000003
     - type: precision_at_1
-      value: 21.642
+      value: 20.522000000000002
     - type: precision_at_10
-      value: 5.274
+      value: 4.963
     - type: precision_at_100
-      value: 0.907
+      value: 0.873
     - type: precision_at_1000
-      value: 0.131
+      value: 0.128
     - type: precision_at_3
-      value: 12.148
+      value: 11.111
     - type: precision_at_5
-      value: 8.458
+      value: 8.01
     - type: recall_at_1
-      value: 17.721999999999998
+      value: 16.634
     - type: recall_at_10
-      value: 38.926
+      value: 37.498
     - type: recall_at_100
-      value: 61.698
+      value: 60.598
     - type: recall_at_1000
-      value: 83.742
+      value: 81.828
     - type: recall_at_3
-      value: 28.209
+      value: 26.136
     - type: recall_at_5
-      value: 32.462999999999994
+      value: 31.211
   - task:
       type: Retrieval
     dataset:
@@ -562,65 +562,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 28.429
+      value: 28.200999999999997
     - type: map_at_10
-      value: 38.0
+      value: 37.619
     - type: map_at_100
-      value: 39.262
+      value: 38.834999999999994
     - type: map_at_1000
-      value: 39.371
+      value: 38.951
     - type: map_at_3
-      value: 35.031
+      value: 35.119
     - type: map_at_5
-      value: 36.935
+      value: 36.559999999999995
     - type: mrr_at_1
       value: 33.782000000000004
     - type: mrr_at_10
-      value: 43.164
+      value: 43.033
     - type: mrr_at_100
-      value: 43.962
+      value: 43.761
     - type: mrr_at_1000
-      value: 44.012
+      value: 43.818
     - type: mrr_at_3
-      value: 40.711999999999996
+      value: 40.727999999999994
     - type: mrr_at_5
-      value: 42.32
+      value: 42.129
     - type: ndcg_at_1
       value: 33.782000000000004
     - type: ndcg_at_10
-      value: 43.574
+      value: 43.178
     - type: ndcg_at_100
-      value: 48.903999999999996
+      value: 48.27
     - type: ndcg_at_1000
-      value: 51.074
+      value: 50.559
     - type: ndcg_at_3
-      value: 38.858
+      value: 38.974
     - type: ndcg_at_5
-      value: 41.581
+      value: 41.019
     - type: precision_at_1
       value: 33.782000000000004
     - type: precision_at_10
-      value: 7.7
+      value: 7.575
     - type: precision_at_100
-      value: 1.217
+      value: 1.1820000000000002
     - type: precision_at_1000
-      value: 0.157
+      value: 0.154
     - type: precision_at_3
-      value: 18.157999999999998
+      value: 18.223
     - type: precision_at_5
-      value: 13.128
+      value: 12.742999999999999
     - type: recall_at_1
-      value: 28.429
+      value: 28.200999999999997
     - type: recall_at_10
-      value: 54.63
+      value: 54.089
     - type: recall_at_100
-      value: 77.183
+      value: 75.57000000000001
     - type: recall_at_1000
-      value: 91.708
+      value: 90.827
     - type: recall_at_3
-      value: 41.81
+      value: 42.435
     - type: recall_at_5
-      value: 48.794
+      value: 47.652
   - task:
       type: Retrieval
     dataset:
@@ -631,65 +631,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 25.579
+      value: 25.313000000000002
     - type: map_at_10
-      value: 35.135
+      value: 34.329
     - type: map_at_100
-      value: 36.382999999999996
+      value: 35.445
     - type: map_at_1000
-      value: 36.482
+      value: 35.556
     - type: map_at_3
-      value: 32.25
+      value: 31.659
     - type: map_at_5
-      value: 33.873999999999995
+      value: 32.981
     - type: mrr_at_1
-      value: 31.279
+      value: 30.822
     - type: mrr_at_10
-      value: 40.261
+      value: 39.084
     - type: mrr_at_100
-      value: 41.128
+      value: 39.97
     - type: mrr_at_1000
-      value: 41.175
+      value: 40.025
     - type: mrr_at_3
-      value: 37.823
+      value: 36.815
     - type: mrr_at_5
-      value: 39.245000000000005
+      value: 38.002
     - type: ndcg_at_1
-      value: 31.279
+      value: 30.822
     - type: ndcg_at_10
-      value: 40.64
+      value: 39.512
     - type: ndcg_at_100
-      value: 46.224
+      value: 44.925
     - type: ndcg_at_1000
-      value: 48.392
+      value: 47.274
     - type: ndcg_at_3
-      value: 35.913000000000004
+      value: 35.055
     - type: ndcg_at_5
-      value: 38.086999999999996
+      value: 36.788
     - type: precision_at_1
-      value: 31.279
+      value: 30.822
     - type: precision_at_10
-      value: 7.306
+      value: 7.1
     - type: precision_at_100
-      value: 1.185
+      value: 1.15
     - type: precision_at_1000
-      value: 0.154
+      value: 0.151
     - type: precision_at_3
-      value: 17.009
+      value: 16.476
     - type: precision_at_5
-      value: 12.123000000000001
+      value: 11.461
     - type: recall_at_1
-      value: 25.579
+      value: 25.313000000000002
     - type: recall_at_10
-      value: 52.018
+      value: 50.178
     - type: recall_at_100
-      value: 76.02799999999999
+      value: 74.312
     - type: recall_at_1000
-      value: 90.996
+      value: 90.50200000000001
     - type: recall_at_3
-      value: 38.769
+      value: 37.626
     - type: recall_at_5
-      value: 44.417
+      value: 42.34
   - task:
       type: Retrieval
     dataset:
@@ -700,65 +700,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.15416666666666
+      value: 25.502250000000004
     - type: map_at_10
-      value: 34.64533333333333
+      value: 33.655166666666666
     - type: map_at_100
-      value: 35.7715
+      value: 34.72833333333333
     - type: map_at_1000
-      value: 35.885333333333335
+      value: 34.84375
     - type: map_at_3
-      value: 32.03941666666667
+      value: 31.253999999999998
     - type: map_at_5
-      value: 33.47041666666667
+      value: 32.55075
     - type: mrr_at_1
-      value: 30.654583333333328
+      value: 29.91975
     - type: mrr_at_10
-      value: 38.71783333333333
+      value: 37.65441666666667
     - type: mrr_at_100
-      value: 39.52499999999999
+      value: 38.464416666666665
     - type: mrr_at_1000
-      value: 39.584250000000004
+      value: 38.52591666666667
     - type: mrr_at_3
-      value: 36.42975
+      value: 35.57858333333333
     - type: mrr_at_5
-      value: 37.72874999999999
+      value: 36.71083333333333
     - type: ndcg_at_1
-      value: 30.654583333333328
+      value: 29.91975
     - type: ndcg_at_10
-      value: 39.663583333333335
+      value: 38.47316666666667
     - type: ndcg_at_100
-      value: 44.600249999999996
+      value: 43.256416666666674
     - type: ndcg_at_1000
-      value: 46.93808333333333
+      value: 45.70658333333333
     - type: ndcg_at_3
-      value: 35.2025
+      value: 34.350833333333334
     - type: ndcg_at_5
-      value: 37.27008333333333
+      value: 36.184583333333336
     - type: precision_at_1
-      value: 30.654583333333328
+      value: 29.91975
     - type: precision_at_10
-      value: 6.8140833333333335
+      value: 6.5489999999999995
     - type: precision_at_100
-      value: 1.1011666666666666
+      value: 1.0553333333333332
     - type: precision_at_1000
-      value: 0.14883333333333335
+      value: 0.14516666666666667
     - type: precision_at_3
-      value: 15.982249999999997
+      value: 15.579083333333333
     - type: precision_at_5
-      value: 11.254916666666666
+      value: 10.851083333333332
     - type: recall_at_1
-      value: 26.15416666666666
+      value: 25.502250000000004
     - type: recall_at_10
-      value: 50.44783333333333
+      value: 48.7965
     - type: recall_at_100
-      value: 72.172
+      value: 69.93500000000002
     - type: recall_at_1000
-      value: 88.49900000000001
+      value: 87.17049999999999
     - type: recall_at_3
-      value: 38.030750000000005
+      value: 37.20433333333333
     - type: recall_at_5
-      value: 43.37716666666667
+      value: 42.00783333333333
   - task:
       type: Retrieval
     dataset:
@@ -769,65 +769,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 24.936
+      value: 23.777
     - type: map_at_10
-      value: 31.274
+      value: 29.932
     - type: map_at_100
-      value: 32.127
+      value: 30.778
     - type: map_at_1000
-      value: 32.218999999999994
+      value: 30.879
     - type: map_at_3
-      value: 29.036
+      value: 27.898
     - type: map_at_5
-      value: 30.128
+      value: 29.086000000000002
     - type: mrr_at_1
-      value: 27.454
+      value: 26.227
     - type: mrr_at_10
-      value: 33.973
+      value: 32.443
     - type: mrr_at_100
-      value: 34.75
+      value: 33.212
     - type: mrr_at_1000
-      value: 34.821999999999996
+      value: 33.29
     - type: mrr_at_3
-      value: 31.979000000000003
+      value: 30.419
     - type: mrr_at_5
-      value: 32.975
+      value: 31.616
     - type: ndcg_at_1
-      value: 27.454
+      value: 26.227
     - type: ndcg_at_10
-      value: 35.259
+      value: 33.774
     - type: ndcg_at_100
-      value: 39.513
+      value: 37.917
     - type: ndcg_at_1000
-      value: 41.913
+      value: 40.557
     - type: ndcg_at_3
-      value: 31.184
+      value: 29.875
     - type: ndcg_at_5
-      value: 32.804
+      value: 31.845000000000002
     - type: precision_at_1
-      value: 27.454
+      value: 26.227
     - type: precision_at_10
-      value: 5.445
+      value: 5.153
     - type: precision_at_100
-      value: 0.8250000000000001
+      value: 0.784
     - type: precision_at_1000
-      value: 0.109
+      value: 0.108
     - type: precision_at_3
-      value: 12.986
+      value: 12.423
     - type: precision_at_5
-      value: 8.895999999999999
+      value: 8.773
     - type: recall_at_1
-      value: 24.936
+      value: 23.777
     - type: recall_at_10
-      value: 44.807
+      value: 43.142
     - type: recall_at_100
-      value: 64.046
+      value: 61.68900000000001
     - type: recall_at_1000
-      value: 81.959
+      value: 81.37100000000001
     - type: recall_at_3
-      value: 33.587
+      value: 32.582
     - type: recall_at_5
-      value: 37.665
+      value: 37.403
   - task:
       type: Retrieval
     dataset:
@@ -838,65 +838,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 16.641000000000002
+      value: 16.659
     - type: map_at_10
-      value: 23.794
+      value: 22.926
     - type: map_at_100
-      value: 24.769
+      value: 23.837
     - type: map_at_1000
-      value: 24.898999999999997
+      value: 23.953
     - type: map_at_3
-      value: 21.67
+      value: 21.029999999999998
     - type: map_at_5
-      value: 22.933
+      value: 22.019
     - type: mrr_at_1
-      value: 20.061999999999998
+      value: 19.649
     - type: mrr_at_10
-      value: 27.467999999999996
+      value: 26.32
     - type: mrr_at_100
-      value: 28.303
+      value: 27.143
     - type: mrr_at_1000
-      value: 28.387
+      value: 27.222
     - type: mrr_at_3
-      value: 25.361
+      value: 24.484
     - type: mrr_at_5
-      value: 26.676
+      value: 25.468000000000004
     - type: ndcg_at_1
-      value: 20.061999999999998
+      value: 19.649
     - type: ndcg_at_10
-      value: 28.218
+      value: 26.941
     - type: ndcg_at_100
-      value: 32.988
+      value: 31.522
     - type: ndcg_at_1000
-      value: 36.083
+      value: 34.538999999999994
     - type: ndcg_at_3
-      value: 24.391
+      value: 23.419999999999998
     - type: ndcg_at_5
-      value: 26.349
+      value: 24.927
     - type: precision_at_1
-      value: 20.061999999999998
+      value: 19.649
     - type: precision_at_10
-      value: 4.997
+      value: 4.7010000000000005
     - type: precision_at_100
-      value: 0.8670000000000001
+      value: 0.8130000000000001
     - type: precision_at_1000
-      value: 0.131
+      value: 0.124
     - type: precision_at_3
-      value: 11.402
+      value: 10.735999999999999
     - type: precision_at_5
-      value: 8.273
+      value: 7.591
     - type: recall_at_1
-      value: 16.641000000000002
+      value: 16.659
     - type: recall_at_10
-      value: 37.925
+      value: 35.721000000000004
     - type: recall_at_100
-      value: 59.317
+      value: 56.43
     - type: recall_at_1000
-      value: 81.49499999999999
+      value: 78.464
     - type: recall_at_3
-      value: 27.381
+      value: 25.878
     - type: recall_at_5
-      value: 32.323
+      value: 29.731999999999996
   - task:
       type: Retrieval
     dataset:
@@ -907,65 +907,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 25.684
+      value: 24.309
     - type: map_at_10
-      value: 33.499
+      value: 31.990000000000002
     - type: map_at_100
-      value: 34.533
+      value: 32.895
     - type: map_at_1000
-      value: 34.647
+      value: 33.0
     - type: map_at_3
-      value: 30.908
+      value: 29.848999999999997
     - type: map_at_5
-      value: 32.376
+      value: 30.942999999999998
     - type: mrr_at_1
-      value: 29.757
+      value: 28.638
     - type: mrr_at_10
-      value: 37.439
+      value: 36.036
     - type: mrr_at_100
-      value: 38.239000000000004
+      value: 36.787
     - type: mrr_at_1000
-      value: 38.307
+      value: 36.855
     - type: mrr_at_3
-      value: 34.997
+      value: 34.08
     - type: mrr_at_5
-      value: 36.359
+      value: 35.073
     - type: ndcg_at_1
-      value: 29.757
+      value: 28.638
     - type: ndcg_at_10
-      value: 38.334
+      value: 36.588
     - type: ndcg_at_100
-      value: 43.171
+      value: 41.152
     - type: ndcg_at_1000
-      value: 45.775
+      value: 43.769999999999996
     - type: ndcg_at_3
-      value: 33.611999999999995
+      value: 32.632
     - type: ndcg_at_5
-      value: 35.884
+      value: 34.249
     - type: precision_at_1
-      value: 29.757
+      value: 28.638
     - type: precision_at_10
-      value: 6.361999999999999
+      value: 5.942
     - type: precision_at_100
-      value: 0.98
+      value: 0.9249999999999999
     - type: precision_at_1000
-      value: 0.133
+      value: 0.127
     - type: precision_at_3
-      value: 14.988000000000001
+      value: 14.582999999999998
     - type: precision_at_5
-      value: 10.653
+      value: 9.944
     - type: recall_at_1
-      value: 25.684
+      value: 24.309
     - type: recall_at_10
-      value: 49.059000000000005
+      value: 46.725
     - type: recall_at_100
-      value: 70.339
+      value: 67.11
     - type: recall_at_1000
-      value: 88.567
+      value: 85.91499999999999
     - type: recall_at_3
-      value: 36.233
+      value: 35.72
     - type: recall_at_5
-      value: 41.974000000000004
+      value: 39.854
   - task:
       type: Retrieval
     dataset:
@@ -976,65 +976,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 24.265
+      value: 22.997999999999998
     - type: map_at_10
-      value: 31.948
+      value: 30.564000000000004
     - type: map_at_100
-      value: 33.558
+      value: 32.06
     - type: map_at_1000
-      value: 33.778999999999996
+      value: 32.282
     - type: map_at_3
-      value: 29.387999999999998
+      value: 28.12
     - type: map_at_5
-      value: 30.711
+      value: 29.395
     - type: mrr_at_1
-      value: 28.854000000000003
+      value: 27.075
     - type: mrr_at_10
-      value: 36.346000000000004
+      value: 34.510999999999996
     - type: mrr_at_100
-      value: 37.273
+      value: 35.549
     - type: mrr_at_1000
-      value: 37.336000000000006
+      value: 35.616
     - type: mrr_at_3
-      value: 33.794000000000004
+      value: 32.444
     - type: mrr_at_5
-      value: 35.168
+      value: 33.589999999999996
     - type: ndcg_at_1
-      value: 28.854000000000003
+      value: 27.075
     - type: ndcg_at_10
-      value: 37.281
+      value: 35.582
     - type: ndcg_at_100
-      value: 43.125
+      value: 41.308
     - type: ndcg_at_1000
-      value: 45.9
+      value: 44.385999999999996
     - type: ndcg_at_3
-      value: 32.637
+      value: 31.467
     - type: ndcg_at_5
-      value: 34.628
+      value: 33.189
     - type: precision_at_1
-      value: 28.854000000000003
+      value: 27.075
     - type: precision_at_10
-      value: 6.957000000000001
+      value: 6.68
     - type: precision_at_100
-      value: 1.455
+      value: 1.427
     - type: precision_at_1000
       value: 0.231
     - type: precision_at_3
-      value: 14.954
+      value: 14.625
     - type: precision_at_5
-      value: 10.751
+      value: 10.356
     - type: recall_at_1
-      value: 24.265
+      value: 22.997999999999998
     - type: recall_at_10
-      value: 47.709
+      value: 45.196
     - type: recall_at_100
-      value: 72.894
+      value: 70.319
     - type: recall_at_1000
-      value: 90.545
+      value: 90.766
     - type: recall_at_3
-      value: 34.618
+      value: 33.487
     - type: recall_at_5
-      value: 39.793
+      value: 38.297
   - task:
       type: Retrieval
     dataset:
@@ -1045,65 +1045,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 21.818
+      value: 20.961
     - type: map_at_10
-      value: 28.743000000000002
+      value: 27.58
     - type: map_at_100
-      value: 29.702
+      value: 28.542
     - type: map_at_1000
-      value: 29.787000000000003
+      value: 28.644
     - type: map_at_3
-      value: 26.497
+      value: 25.541000000000004
     - type: map_at_5
-      value: 27.742
+      value: 26.589000000000002
     - type: mrr_at_1
-      value: 23.474999999999998
+      value: 22.551
     - type: mrr_at_10
-      value: 30.819000000000003
+      value: 29.298999999999996
     - type: mrr_at_100
-      value: 31.635
+      value: 30.17
     - type: mrr_at_1000
-      value: 31.692999999999998
+      value: 30.248
     - type: mrr_at_3
-      value: 28.681
+      value: 27.542
     - type: mrr_at_5
-      value: 29.864
+      value: 28.392
     - type: ndcg_at_1
-      value: 23.474999999999998
+      value: 22.551
     - type: ndcg_at_10
-      value: 33.007999999999996
+      value: 31.55
     - type: ndcg_at_100
-      value: 38.018
+      value: 36.295
     - type: ndcg_at_1000
-      value: 40.335
+      value: 38.964
     - type: ndcg_at_3
-      value: 28.522
+      value: 27.663
     - type: ndcg_at_5
-      value: 30.659
+      value: 29.321
     - type: precision_at_1
-      value: 23.474999999999998
+      value: 22.551
     - type: precision_at_10
-      value: 5.157
+      value: 4.88
     - type: precision_at_100
-      value: 0.83
+      value: 0.7779999999999999
     - type: precision_at_1000
-      value: 0.11499999999999999
+      value: 0.11199999999999999
     - type: precision_at_3
-      value: 11.953
+      value: 11.83
     - type: precision_at_5
-      value: 8.540000000000001
+      value: 8.17
     - type: recall_at_1
-      value: 21.818
+      value: 20.961
     - type: recall_at_10
-      value: 44.029
+      value: 42.07
     - type: recall_at_100
-      value: 67.906
+      value: 63.982000000000006
     - type: recall_at_1000
-      value: 85.387
+      value: 83.889
     - type: recall_at_3
-      value: 31.965
+      value: 31.445
     - type: recall_at_5
-      value: 37.079
+      value: 35.410000000000004
   - task:
       type: Retrieval
     dataset:
@@ -1114,65 +1114,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 17.615
+      value: 11.314
     - type: map_at_10
-      value: 30.302
+      value: 18.983
     - type: map_at_100
-      value: 32.382
+      value: 20.851
     - type: map_at_1000
-      value: 32.573
+      value: 21.066
     - type: map_at_3
-      value: 25.689
+      value: 16.014
     - type: map_at_5
-      value: 28.137
+      value: 17.569000000000003
     - type: mrr_at_1
-      value: 40.847
+      value: 25.277
     - type: mrr_at_10
-      value: 53.577
+      value: 36.657000000000004
     - type: mrr_at_100
-      value: 54.19199999999999
+      value: 37.646
     - type: mrr_at_1000
-      value: 54.217999999999996
+      value: 37.686
     - type: mrr_at_3
-      value: 50.684
+      value: 33.17
     - type: mrr_at_5
-      value: 52.349000000000004
+      value: 35.232
     - type: ndcg_at_1
-      value: 40.847
+      value: 25.277
     - type: ndcg_at_10
-      value: 40.497
+      value: 27.011000000000003
     - type: ndcg_at_100
-      value: 47.575
+      value: 34.418
     - type: ndcg_at_1000
-      value: 50.663000000000004
+      value: 38.089
     - type: ndcg_at_3
-      value: 34.650999999999996
+      value: 22.026
     - type: ndcg_at_5
-      value: 36.503
+      value: 23.866
     - type: precision_at_1
-      value: 40.847
+      value: 25.277
     - type: precision_at_10
-      value: 12.469
+      value: 8.397
     - type: precision_at_100
-      value: 2.012
+      value: 1.6320000000000001
     - type: precision_at_1000
-      value: 0.259
+      value: 0.22999999999999998
     - type: precision_at_3
-      value: 26.124000000000002
+      value: 16.156000000000002
     - type: precision_at_5
-      value: 19.518
+      value: 12.612000000000002
     - type: recall_at_1
-      value: 17.615
+      value: 11.314
     - type: recall_at_10
-      value: 46.163
+      value: 32.474
     - type: recall_at_100
-      value: 69.985
+      value: 57.926
     - type: recall_at_1000
-      value: 87.033
+      value: 78.387
     - type: recall_at_3
-      value: 31.041999999999998
+      value: 20.415
     - type: recall_at_5
-      value: 37.419999999999995
+      value: 25.407999999999998
   - task:
       type: Retrieval
     dataset:
@@ -1183,65 +1183,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 8.616999999999999
+      value: 8.835999999999999
     - type: map_at_10
-      value: 20.591
+      value: 19.73
     - type: map_at_100
-      value: 29.738
+      value: 28.011000000000003
     - type: map_at_1000
-      value: 31.403
+      value: 29.519000000000002
     - type: map_at_3
-      value: 14.549999999999999
+      value: 14.249
     - type: map_at_5
-      value: 17.071
+      value: 16.472
     - type: mrr_at_1
-      value: 71.25
+      value: 67.0
     - type: mrr_at_10
-      value: 77.86699999999999
+      value: 74.632
     - type: mrr_at_100
-      value: 78.154
+      value: 74.97200000000001
     - type: mrr_at_1000
-      value: 78.159
+      value: 74.97500000000001
     - type: mrr_at_3
-      value: 76.333
+      value: 72.958
     - type: mrr_at_5
-      value: 77.146
+      value: 73.908
     - type: ndcg_at_1
-      value: 59.875
+      value: 55.875
     - type: ndcg_at_10
-      value: 45.233000000000004
+      value: 42.071999999999996
     - type: ndcg_at_100
-      value: 49.395
+      value: 46.091
     - type: ndcg_at_1000
-      value: 56.352000000000004
+      value: 52.737
     - type: ndcg_at_3
-      value: 50.171
+      value: 47.079
     - type: ndcg_at_5
-      value: 47.3
+      value: 43.788
     - type: precision_at_1
-      value: 71.25
+      value: 67.0
     - type: precision_at_10
-      value: 35.9
+      value: 33.45
     - type: precision_at_100
-      value: 11.733
+      value: 10.633
     - type: precision_at_1000
-      value: 2.111
+      value: 2.067
     - type: precision_at_3
-      value: 52.917
+      value: 49.583
     - type: precision_at_5
-      value: 45.25
+      value: 41.25
     - type: recall_at_1
-      value: 8.616999999999999
+      value: 8.835999999999999
     - type: recall_at_10
-      value: 26.571
+      value: 24.872
     - type: recall_at_100
-      value: 55.289
+      value: 51.427
     - type: recall_at_1000
-      value: 77.66300000000001
+      value: 72.17099999999999
     - type: recall_at_3
-      value: 15.823
+      value: 15.631999999999998
     - type: recall_at_5
-      value: 19.921
+      value: 18.956
   - task:
       type: Classification
     dataset:
@@ -1252,9 +1252,9 @@ model-index:
       revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
     metrics:
     - type: accuracy
-      value: 48.584999999999994
+      value: 48.80500000000001
     - type: f1
-      value: 43.715445937798705
+      value: 43.91955883597831
   - task:
       type: Retrieval
     dataset:
@@ -1265,65 +1265,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 72.175
+      value: 61.480999999999995
     - type: map_at_10
-      value: 81.659
+      value: 72.162
     - type: map_at_100
-      value: 81.918
+      value: 72.487
     - type: map_at_1000
-      value: 81.931
+      value: 72.504
     - type: map_at_3
-      value: 80.304
+      value: 70.354
     - type: map_at_5
-      value: 81.21199999999999
+      value: 71.509
     - type: mrr_at_1
-      value: 77.333
+      value: 66.262
     - type: mrr_at_10
-      value: 85.26
+      value: 76.605
     - type: mrr_at_100
-      value: 85.37400000000001
+      value: 76.833
     - type: mrr_at_1000
-      value: 85.37599999999999
+      value: 76.839
     - type: mrr_at_3
-      value: 84.378
+      value: 74.977
     - type: mrr_at_5
-      value: 85.001
+      value: 76.06
     - type: ndcg_at_1
-      value: 77.333
+      value: 66.262
     - type: ndcg_at_10
-      value: 85.533
+      value: 77.323
     - type: ndcg_at_100
-      value: 86.483
+      value: 78.685
     - type: ndcg_at_1000
-      value: 86.721
+      value: 79.032
     - type: ndcg_at_3
-      value: 83.434
+      value: 74.015
     - type: ndcg_at_5
-      value: 84.71
+      value: 75.916
     - type: precision_at_1
-      value: 77.333
+      value: 66.262
     - type: precision_at_10
-      value: 10.485999999999999
+      value: 9.757
     - type: precision_at_100
-      value: 1.121
+      value: 1.059
     - type: precision_at_1000
-      value: 0.116
+      value: 0.11100000000000002
     - type: precision_at_3
-      value: 32.198
+      value: 29.032999999999998
     - type: precision_at_5
-      value: 20.222
+      value: 18.5
     - type: recall_at_1
-      value: 72.175
+      value: 61.480999999999995
     - type: recall_at_10
-      value: 93.633
+      value: 88.878
     - type: recall_at_100
-      value: 97.42699999999999
+      value: 94.719
     - type: recall_at_1000
-      value: 98.94
+      value: 97.066
     - type: recall_at_3
-      value: 88.07199999999999
+      value: 79.95100000000001
     - type: recall_at_5
-      value: 91.223
+      value: 84.691
   - task:
       type: Retrieval
     dataset:
@@ -1334,65 +1334,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 19.287000000000003
+      value: 19.925
     - type: map_at_10
-      value: 31.136000000000003
+      value: 31.621
     - type: map_at_100
-      value: 32.827
+      value: 33.282000000000004
     - type: map_at_1000
-      value: 33.011
+      value: 33.455
     - type: map_at_3
-      value: 27.150999999999996
+      value: 27.504
     - type: map_at_5
-      value: 29.459999999999997
+      value: 29.921999999999997
     - type: mrr_at_1
-      value: 37.963
+      value: 39.660000000000004
     - type: mrr_at_10
-      value: 46.449
+      value: 47.366
     - type: mrr_at_100
-      value: 47.353
+      value: 48.179
     - type: mrr_at_1000
-      value: 47.39
+      value: 48.219
     - type: mrr_at_3
-      value: 44.11
+      value: 45.062000000000005
     - type: mrr_at_5
-      value: 45.391
+      value: 46.404
     - type: ndcg_at_1
-      value: 37.963
+      value: 39.660000000000004
     - type: ndcg_at_10
-      value: 38.644
+      value: 39.019
     - type: ndcg_at_100
-      value: 44.923
+      value: 45.286
     - type: ndcg_at_1000
-      value: 48.059000000000005
+      value: 48.370000000000005
     - type: ndcg_at_3
-      value: 35.141
+      value: 35.421
     - type: ndcg_at_5
-      value: 36.335
+      value: 36.767
     - type: precision_at_1
-      value: 37.963
+      value: 39.660000000000004
     - type: precision_at_10
       value: 10.494
     - type: precision_at_100
-      value: 1.691
+      value: 1.7069999999999999
     - type: precision_at_1000
-      value: 0.22699999999999998
+      value: 0.22599999999999998
     - type: precision_at_3
-      value: 23.405
+      value: 23.200000000000003
     - type: precision_at_5
-      value: 17.16
+      value: 17.253
     - type: recall_at_1
-      value: 19.287000000000003
+      value: 19.925
     - type: recall_at_10
-      value: 45.558
+      value: 45.48
     - type: recall_at_100
-      value: 68.508
+      value: 68.585
     - type: recall_at_1000
-      value: 87.10900000000001
+      value: 87.128
     - type: recall_at_3
-      value: 31.991000000000003
+      value: 31.913000000000004
     - type: recall_at_5
-      value: 38.044
+      value: 38.107
   - task:
       type: Retrieval
     dataset:
@@ -1403,65 +1403,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 40.088
+      value: 37.961
     - type: map_at_10
-      value: 66.891
+      value: 55.010000000000005
     - type: map_at_100
-      value: 67.697
+      value: 55.896
     - type: map_at_1000
-      value: 67.75
+      value: 55.962
     - type: map_at_3
-      value: 63.517999999999994
+      value: 52.03
     - type: map_at_5
-      value: 65.667
+      value: 53.866
     - type: mrr_at_1
-      value: 80.176
+      value: 75.922
     - type: mrr_at_10
-      value: 85.662
+      value: 81.655
     - type: mrr_at_100
-      value: 85.827
+      value: 81.879
     - type: mrr_at_1000
-      value: 85.833
+      value: 81.889
     - type: mrr_at_3
-      value: 84.80799999999999
+      value: 80.657
     - type: mrr_at_5
-      value: 85.349
+      value: 81.291
     - type: ndcg_at_1
-      value: 80.176
+      value: 75.922
     - type: ndcg_at_10
-      value: 74.349
+      value: 64.119
     - type: ndcg_at_100
-      value: 77.10000000000001
+      value: 67.25
     - type: ndcg_at_1000
-      value: 78.084
+      value: 68.55499999999999
     - type: ndcg_at_3
-      value: 69.647
+      value: 59.792
     - type: ndcg_at_5
-      value: 72.312
+      value: 62.165000000000006
     - type: precision_at_1
-      value: 80.176
+      value: 75.922
     - type: precision_at_10
-      value: 15.629999999999999
+      value: 13.155
     - type: precision_at_100
-      value: 1.7760000000000002
+      value: 1.5599999999999998
     - type: precision_at_1000
-      value: 0.191
+      value: 0.173
     - type: precision_at_3
-      value: 45.186
+      value: 37.461
     - type: precision_at_5
-      value: 29.215000000000003
+      value: 24.351
     - type: recall_at_1
-      value: 40.088
+      value: 37.961
     - type: recall_at_10
-      value: 78.14999999999999
+      value: 65.77300000000001
     - type: recall_at_100
-      value: 88.818
+      value: 78.015
     - type: recall_at_1000
-      value: 95.273
+      value: 86.685
     - type: recall_at_3
-      value: 67.779
+      value: 56.192
     - type: recall_at_5
-      value: 73.038
+      value: 60.878
   - task:
       type: Classification
     dataset:
@@ -1472,11 +1472,11 @@ model-index:
       revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
     metrics:
     - type: accuracy
-      value: 83.81960000000002
+      value: 83.7804
     - type: ap
-      value: 78.83196561301477
+      value: 78.89508987851809
     - type: f1
-      value: 83.75970806716482
+      value: 83.72392373438922
   - task:
       type: Retrieval
     dataset:
@@ -1487,65 +1487,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 23.318
+      value: 23.807000000000002
     - type: map_at_10
-      value: 35.988
+      value: 36.411
     - type: map_at_100
-      value: 37.172
+      value: 37.574000000000005
     - type: map_at_1000
-      value: 37.217
+      value: 37.618
     - type: map_at_3
-      value: 32.193
+      value: 32.653
     - type: map_at_5
-      value: 34.467
+      value: 34.902
     - type: mrr_at_1
-      value: 23.982999999999997
+      value: 24.499000000000002
     - type: mrr_at_10
-      value: 36.588
+      value: 37.045
     - type: mrr_at_100
-      value: 37.714999999999996
+      value: 38.135999999999996
     - type: mrr_at_1000
-      value: 37.754
+      value: 38.175
     - type: mrr_at_3
-      value: 32.844
+      value: 33.326
     - type: mrr_at_5
-      value: 35.106
+      value: 35.561
     - type: ndcg_at_1
-      value: 23.982999999999997
+      value: 24.512999999999998
     - type: ndcg_at_10
-      value: 42.870000000000005
+      value: 43.328
     - type: ndcg_at_100
-      value: 48.433
+      value: 48.779
     - type: ndcg_at_1000
-      value: 49.559
+      value: 49.897999999999996
     - type: ndcg_at_3
-      value: 35.211
+      value: 35.713
     - type: ndcg_at_5
-      value: 39.273
+      value: 39.729
     - type: precision_at_1
-      value: 23.982999999999997
+      value: 24.512999999999998
     - type: precision_at_10
-      value: 6.678000000000001
+      value: 6.7379999999999995
     - type: precision_at_100
-      value: 0.9440000000000001
+      value: 0.9450000000000001
     - type: precision_at_1000
       value: 0.104
     - type: precision_at_3
-      value: 14.981
+      value: 15.196000000000002
     - type: precision_at_5
-      value: 11.046
+      value: 11.158
     - type: recall_at_1
-      value: 23.318
+      value: 23.807000000000002
     - type: recall_at_10
-      value: 63.934999999999995
+      value: 64.488
     - type: recall_at_100
-      value: 89.335
+      value: 89.386
     - type: recall_at_1000
-      value: 97.966
+      value: 97.968
     - type: recall_at_3
-      value: 43.283
+      value: 43.891000000000005
     - type: recall_at_5
-      value: 53.041000000000004
+      value: 53.535
   - task:
       type: Classification
     dataset:
@@ -1556,9 +1556,9 @@ model-index:
       revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
     metrics:
     - type: accuracy
-      value: 93.57045143638851
+      value: 93.47013223894209
     - type: f1
-      value: 93.27721271351861
+      value: 93.15020887152107
   - task:
       type: Classification
     dataset:
@@ -1569,9 +1569,9 @@ model-index:
       revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
     metrics:
     - type: accuracy
-      value: 75.33971728226174
+      value: 75.27131782945737
     - type: f1
-      value: 57.738940854439825
+      value: 58.45703758149779
   - task:
       type: Classification
     dataset:
@@ -1582,9 +1582,9 @@ model-index:
       revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
     metrics:
     - type: accuracy
-      value: 73.05985205110962
+      value: 72.76395427034298
     - type: f1
-      value: 71.13355537275797
+      value: 70.6084399610629
   - task:
       type: Classification
     dataset:
@@ -1595,9 +1595,9 @@ model-index:
       revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
-      value: 77.38063214525891
+      value: 76.69804976462676
     - type: f1
-      value: 77.50780716460197
+      value: 76.61599181962723
   - task:
       type: Clustering
     dataset:
@@ -1608,7 +1608,7 @@ model-index:
       revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
     metrics:
     - type: v_measure
-      value: 32.74942819235406
+      value: 32.7253797676744
   - task:
       type: Clustering
     dataset:
@@ -1619,7 +1619,7 @@ model-index:
       revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
     metrics:
     - type: v_measure
-      value: 30.696610712314364
+      value: 30.547731924629424
   - task:
       type: Reranking
     dataset:
@@ -1630,9 +1630,9 @@ model-index:
       revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
     metrics:
     - type: map
-      value: 28.7236836309487
+      value: 31.286918745183772
     - type: mrr
-      value: 29.45527326120238
+      value: 32.47449315230336
   - task:
       type: Retrieval
     dataset:
@@ -1643,65 +1643,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 5.838
+      value: 5.894
     - type: map_at_10
-      value: 13.492999999999999
+      value: 13.405000000000001
     - type: map_at_100
-      value: 16.598
+      value: 16.586000000000002
     - type: map_at_1000
-      value: 17.937
+      value: 17.919
     - type: map_at_3
-      value: 10.119
+      value: 10.066
     - type: map_at_5
-      value: 11.666
+      value: 11.679
     - type: mrr_at_1
       value: 45.201
     - type: mrr_at_10
-      value: 54.391
+      value: 54.018
     - type: mrr_at_100
-      value: 54.913000000000004
+      value: 54.581999999999994
     - type: mrr_at_1000
-      value: 54.952
+      value: 54.623
     - type: mrr_at_3
-      value: 52.012
+      value: 51.6
     - type: mrr_at_5
-      value: 53.715
+      value: 53.473000000000006
     - type: ndcg_at_1
-      value: 43.498
+      value: 43.189
     - type: ndcg_at_10
-      value: 35.631
+      value: 35.306
     - type: ndcg_at_100
-      value: 31.522
+      value: 31.505
     - type: ndcg_at_1000
-      value: 39.967000000000006
+      value: 39.991
     - type: ndcg_at_3
-      value: 41.258
+      value: 41.108
     - type: ndcg_at_5
-      value: 39.007
+      value: 39.039
     - type: precision_at_1
-      value: 44.891999999999996
+      value: 44.582
     - type: precision_at_10
-      value: 26.409
+      value: 26.161
     - type: precision_at_100
-      value: 7.799
+      value: 7.867
     - type: precision_at_1000
-      value: 2.044
+      value: 2.043
     - type: precision_at_3
-      value: 39.216
+      value: 39.112
     - type: precision_at_5
-      value: 34.056
+      value: 34.18
     - type: recall_at_1
-      value: 5.838
+      value: 5.894
     - type: recall_at_10
-      value: 17.314
+      value: 16.88
     - type: recall_at_100
-      value: 30.653000000000002
+      value: 30.671
     - type: recall_at_1000
-      value: 61.092
+      value: 61.42999999999999
     - type: recall_at_3
-      value: 11.299
+      value: 11.022
     - type: recall_at_5
-      value: 13.689000000000002
+      value: 13.697999999999999
   - task:
       type: Retrieval
     dataset:
@@ -1712,65 +1712,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 37.08
+      value: 38.440999999999995
     - type: map_at_10
-      value: 52.493
+      value: 54.187
     - type: map_at_100
-      value: 53.39699999999999
+      value: 55.022000000000006
     - type: map_at_1000
-      value: 53.422000000000004
+      value: 55.044000000000004
     - type: map_at_3
-      value: 48.504000000000005
+      value: 50.174
     - type: map_at_5
-      value: 50.878
+      value: 52.61
     - type: mrr_at_1
-      value: 41.425
+      value: 42.903000000000006
     - type: mrr_at_10
-      value: 55.001999999999995
+      value: 56.699
     - type: mrr_at_100
-      value: 55.665
+      value: 57.31
     - type: mrr_at_1000
-      value: 55.681999999999995
+      value: 57.325
     - type: mrr_at_3
-      value: 51.873000000000005
+      value: 53.63099999999999
     - type: mrr_at_5
-      value: 53.801
+      value: 55.596000000000004
     - type: ndcg_at_1
-      value: 41.396
+      value: 42.903000000000006
     - type: ndcg_at_10
-      value: 59.77400000000001
+      value: 61.434
     - type: ndcg_at_100
-      value: 63.476
+      value: 64.852
     - type: ndcg_at_1000
-      value: 64.011
+      value: 65.36
     - type: ndcg_at_3
-      value: 52.504
+      value: 54.193000000000005
     - type: ndcg_at_5
-      value: 56.379000000000005
+      value: 58.15
     - type: precision_at_1
-      value: 41.396
+      value: 42.903000000000006
     - type: precision_at_10
-      value: 9.429
+      value: 9.623
     - type: precision_at_100
-      value: 1.1520000000000001
+      value: 1.1560000000000001
     - type: precision_at_1000
       value: 0.12
     - type: precision_at_3
-      value: 23.445
+      value: 24.034
     - type: precision_at_5
-      value: 16.333000000000002
+      value: 16.779
     - type: recall_at_1
-      value: 37.08
+      value: 38.440999999999995
     - type: recall_at_10
-      value: 79.22
+      value: 80.72399999999999
     - type: recall_at_100
-      value: 95.013
+      value: 95.329
     - type: recall_at_1000
-      value: 98.921
+      value: 99.059
     - type: recall_at_3
-      value: 60.702
+      value: 62.343
     - type: recall_at_5
-      value: 69.539
+      value: 71.304
   - task:
       type: Retrieval
     dataset:
@@ -1781,65 +1781,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 70.218
+      value: 70.85000000000001
     - type: map_at_10
-      value: 83.871
+      value: 84.54
     - type: map_at_100
-      value: 84.494
+      value: 85.148
     - type: map_at_1000
-      value: 84.514
+      value: 85.168
     - type: map_at_3
-      value: 80.95
+      value: 81.631
     - type: map_at_5
-      value: 82.783
+      value: 83.45700000000001
     - type: mrr_at_1
-      value: 80.9
+      value: 81.58
     - type: mrr_at_10
-      value: 87.176
+      value: 87.732
     - type: mrr_at_100
-      value: 87.283
+      value: 87.825
     - type: mrr_at_1000
-      value: 87.28399999999999
+      value: 87.82600000000001
     - type: mrr_at_3
-      value: 86.173
+      value: 86.783
     - type: mrr_at_5
-      value: 86.872
+      value: 87.437
     - type: ndcg_at_1
-      value: 80.92
+      value: 81.56
     - type: ndcg_at_10
-      value: 87.76899999999999
+      value: 88.32900000000001
     - type: ndcg_at_100
-      value: 89.017
+      value: 89.513
     - type: ndcg_at_1000
-      value: 89.154
+      value: 89.63799999999999
     - type: ndcg_at_3
-      value: 84.87
+      value: 85.51100000000001
     - type: ndcg_at_5
-      value: 86.469
+      value: 87.062
     - type: precision_at_1
-      value: 80.92
+      value: 81.56
     - type: precision_at_10
-      value: 13.272
+      value: 13.349
     - type: precision_at_100
-      value: 1.5150000000000001
+      value: 1.518
     - type: precision_at_1000
       value: 0.156
     - type: precision_at_3
-      value: 37.03
+      value: 37.293
     - type: precision_at_5
-      value: 24.336
+      value: 24.502
     - type: recall_at_1
-      value: 70.218
+      value: 70.85000000000001
     - type: recall_at_10
-      value: 95.027
+      value: 95.351
     - type: recall_at_100
-      value: 99.29599999999999
+      value: 99.405
     - type: recall_at_1000
-      value: 99.936
+      value: 99.958
     - type: recall_at_3
-      value: 86.64
+      value: 87.184
     - type: recall_at_5
-      value: 91.23
+      value: 91.625
   - task:
       type: Clustering
     dataset:
@@ -1850,7 +1850,7 @@ model-index:
       revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
     metrics:
     - type: v_measure
-      value: 56.98075987853009
+      value: 56.81818576893834
   - task:
       type: Clustering
     dataset:
@@ -1861,7 +1861,7 @@ model-index:
       revision: 282350215ef01743dc01b456c7f5241fa8937f16
     metrics:
     - type: v_measure
-      value: 62.50448653901921
+      value: 61.57033658868022
   - task:
       type: Retrieval
     dataset:
@@ -1872,65 +1872,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 4.303
+      value: 4.468
     - type: map_at_10
-      value: 10.918999999999999
+      value: 11.109
     - type: map_at_100
-      value: 12.709999999999999
+      value: 12.921
     - type: map_at_1000
-      value: 12.985
+      value: 13.187999999999999
     - type: map_at_3
-      value: 7.924
+      value: 8.094999999999999
     - type: map_at_5
-      value: 9.299
+      value: 9.664
     - type: mrr_at_1
-      value: 21.2
+      value: 22.1
     - type: mrr_at_10
-      value: 31.732
+      value: 32.482
     - type: mrr_at_100
-      value: 32.716
+      value: 33.558
     - type: mrr_at_1000
-      value: 32.775999999999996
+      value: 33.623999999999995
     - type: mrr_at_3
-      value: 28.549999999999997
+      value: 29.25
     - type: mrr_at_5
-      value: 30.064999999999998
+      value: 31.080000000000002
     - type: ndcg_at_1
-      value: 21.2
+      value: 22.1
     - type: ndcg_at_10
-      value: 18.576999999999998
+      value: 18.695999999999998
     - type: ndcg_at_100
-      value: 25.648
+      value: 25.749
     - type: ndcg_at_1000
-      value: 30.733
+      value: 30.711
     - type: ndcg_at_3
-      value: 17.718999999999998
+      value: 17.974
     - type: ndcg_at_5
-      value: 15.123000000000001
+      value: 15.684000000000001
     - type: precision_at_1
-      value: 21.2
+      value: 22.1
     - type: precision_at_10
-      value: 9.71
+      value: 9.56
     - type: precision_at_100
-      value: 1.992
+      value: 1.966
     - type: precision_at_1000
-      value: 0.322
+      value: 0.316
     - type: precision_at_3
-      value: 16.7
+      value: 16.667
     - type: precision_at_5
-      value: 13.18
+      value: 13.68
     - type: recall_at_1
-      value: 4.303
+      value: 4.468
     - type: recall_at_10
-      value: 19.688
+      value: 19.373
     - type: recall_at_100
-      value: 40.453
+      value: 39.853
     - type: recall_at_1000
-      value: 65.348
+      value: 64.118
     - type: recall_at_3
-      value: 10.148
+      value: 10.133000000000001
     - type: recall_at_5
-      value: 13.347999999999999
+      value: 13.877999999999998
   - task:
       type: STS
     dataset:
@@ -1941,17 +1941,17 @@ model-index:
       revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
     metrics:
     - type: cos_sim_pearson
-      value: 82.1158093156676
+      value: 80.11452150923512
     - type: cos_sim_spearman
-      value: 78.04442753931265
+      value: 77.3007421887329
     - type: euclidean_pearson
-      value: 79.96880352884281
+      value: 78.2493681078981
     - type: euclidean_spearman
-      value: 78.04442519916647
+      value: 77.3007432741821
     - type: manhattan_pearson
-      value: 79.95975401430859
+      value: 78.19716818242554
     - type: manhattan_spearman
-      value: 78.03343142853139
+      value: 77.26439033199102
   - task:
       type: STS
     dataset:
@@ -1962,17 +1962,17 @@ model-index:
       revision: a0d554a64d88156834ff5ae9920b964011b16384
     metrics:
     - type: cos_sim_pearson
-      value: 83.79721434783521
+      value: 82.70293570563516
     - type: cos_sim_spearman
-      value: 78.25975096999896
+      value: 77.97040896962338
     - type: euclidean_pearson
-      value: 79.1424902310369
+      value: 77.98827330337348
     - type: euclidean_spearman
-      value: 78.25975658297341
+      value: 77.9704358930525
     - type: manhattan_pearson
-      value: 79.18358724961024
+      value: 78.06991702207395
     - type: manhattan_spearman
-      value: 78.25842688776181
+      value: 78.03857843100195
   - task:
       type: STS
     dataset:
@@ -1983,17 +1983,17 @@ model-index:
       revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
     metrics:
     - type: cos_sim_pearson
-      value: 83.01380419796578
+      value: 77.81236960157503
     - type: cos_sim_spearman
-      value: 84.25947132331721
+      value: 79.38801416063187
     - type: euclidean_pearson
-      value: 83.60092535471402
+      value: 79.35003045476847
     - type: euclidean_spearman
-      value: 84.25947132331721
+      value: 79.38797289536578
     - type: manhattan_pearson
-      value: 83.58567994241997
+      value: 79.33155563344724
     - type: manhattan_spearman
-      value: 84.26967070369717
+      value: 79.3858955436803
   - task:
       type: STS
     dataset:
@@ -2004,17 +2004,17 @@ model-index:
       revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
     metrics:
     - type: cos_sim_pearson
-      value: 81.21721151989871
+      value: 77.35604880089507
     - type: cos_sim_spearman
-      value: 80.54270694465328
+      value: 78.17327332594571
     - type: euclidean_pearson
-      value: 80.59816986031214
+      value: 77.30302038209295
     - type: euclidean_spearman
-      value: 80.54271664913747
+      value: 78.17327332594571
     - type: manhattan_pearson
-      value: 80.5726582983618
+      value: 77.31323781935417
     - type: manhattan_spearman
-      value: 80.5337273819897
+      value: 78.20141256686921
   - task:
       type: STS
     dataset:
@@ -2025,17 +2025,17 @@ model-index:
       revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
     metrics:
     - type: cos_sim_pearson
-      value: 85.37279580582026
+      value: 84.29348597583
     - type: cos_sim_spearman
-      value: 86.49650639126628
+      value: 85.50877410088334
     - type: euclidean_pearson
-      value: 86.16280095909306
+      value: 85.22367284169081
     - type: euclidean_spearman
-      value: 86.49650639126628
+      value: 85.50877410088334
     - type: manhattan_pearson
-      value: 86.10906620664134
+      value: 85.17979979737612
     - type: manhattan_spearman
-      value: 86.43874476942065
+      value: 85.46459282596254
   - task:
       type: STS
     dataset:
@@ -2046,17 +2046,17 @@ model-index:
       revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
     metrics:
     - type: cos_sim_pearson
-      value: 83.25909618059293
+      value: 83.16190794761513
     - type: cos_sim_spearman
-      value: 85.13586725576114
+      value: 84.94610605287254
     - type: euclidean_pearson
-      value: 84.23420740305912
+      value: 83.95587174131369
     - type: euclidean_spearman
-      value: 85.13586725576114
+      value: 84.94610605287254
     - type: manhattan_pearson
-      value: 84.31272025462884
+      value: 83.99025745366798
     - type: manhattan_spearman
-      value: 85.21734270533285
+      value: 84.98123107148953
   - task:
       type: STS
     dataset:
@@ -2067,17 +2067,17 @@ model-index:
       revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
     metrics:
     - type: cos_sim_pearson
-      value: 86.36016115914764
+      value: 85.3047190687711
     - type: cos_sim_spearman
-      value: 86.50087120712864
+      value: 85.86642469958113
     - type: euclidean_pearson
-      value: 87.43563849261436
+      value: 86.74377658528041
     - type: euclidean_spearman
-      value: 86.50087120712864
+      value: 85.86642469958113
     - type: manhattan_pearson
-      value: 87.3340358043399
+      value: 86.56967885987439
     - type: manhattan_spearman
-      value: 86.48887803473512
+      value: 85.63613272583275
   - task:
       type: STS
     dataset:
@@ -2088,17 +2088,17 @@ model-index:
       revision: eea2b4fe26a775864c896887d910b76a8098ad3f
     metrics:
     - type: cos_sim_pearson
-      value: 65.4382473357056
+      value: 64.8298932792099
     - type: cos_sim_spearman
-      value: 65.02380140355883
+      value: 64.27626667878636
     - type: euclidean_pearson
-      value: 66.29732592598693
+      value: 66.01603861201576
     - type: euclidean_spearman
-      value: 65.02380140355883
+      value: 64.27626667878636
     - type: manhattan_pearson
-      value: 66.60136092354136
+      value: 66.31232809448106
     - type: manhattan_spearman
-      value: 65.21766397453412
+      value: 64.46190921631559
   - task:
       type: STS
     dataset:
@@ -2109,17 +2109,17 @@ model-index:
       revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
     metrics:
     - type: cos_sim_pearson
-      value: 84.10229648323359
+      value: 82.73696291316243
     - type: cos_sim_spearman
-      value: 84.81137203891447
+      value: 83.41508337893958
     - type: euclidean_pearson
-      value: 84.30614386139715
+      value: 82.8827053024064
     - type: euclidean_spearman
-      value: 84.81137203891447
+      value: 83.41508337893958
     - type: manhattan_pearson
-      value: 84.34828274644255
+      value: 82.85613329045803
     - type: manhattan_spearman
-      value: 84.8268824733233
+      value: 83.40522047443645
   - task:
       type: Reranking
     dataset:
@@ -2130,9 +2130,9 @@ model-index:
       revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
     metrics:
     - type: map
-      value: 81.0838765555117
+      value: 75.51490079179645
     - type: mrr
-      value: 94.65012928248223
+      value: 92.6809655486126
   - task:
       type: Retrieval
     dataset:
@@ -2143,65 +2143,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 57.760999999999996
+      value: 58.594
     - type: map_at_10
-      value: 67.12
+      value: 67.208
     - type: map_at_100
-      value: 67.69
+      value: 67.702
     - type: map_at_1000
-      value: 67.716
+      value: 67.73
     - type: map_at_3
-      value: 64.846
+      value: 64.815
     - type: map_at_5
-      value: 66.148
+      value: 65.946
     - type: mrr_at_1
-      value: 60.667
+      value: 61.667
     - type: mrr_at_10
-      value: 68.497
+      value: 68.52000000000001
     - type: mrr_at_100
-      value: 68.92200000000001
+      value: 68.888
     - type: mrr_at_1000
-      value: 68.944
+      value: 68.911
     - type: mrr_at_3
-      value: 66.889
+      value: 66.833
     - type: mrr_at_5
-      value: 67.839
+      value: 67.617
     - type: ndcg_at_1
-      value: 60.667
+      value: 61.667
     - type: ndcg_at_10
-      value: 71.429
+      value: 71.511
     - type: ndcg_at_100
-      value: 73.821
+      value: 73.765
     - type: ndcg_at_1000
-      value: 74.524
+      value: 74.40299999999999
     - type: ndcg_at_3
-      value: 67.57600000000001
+      value: 67.411
     - type: ndcg_at_5
-      value: 69.44500000000001
+      value: 68.88
     - type: precision_at_1
-      value: 60.667
+      value: 61.667
     - type: precision_at_10
-      value: 9.333
+      value: 9.433
     - type: precision_at_100
-      value: 1.0630000000000002
+      value: 1.0670000000000002
     - type: precision_at_1000
       value: 0.11199999999999999
     - type: precision_at_3
-      value: 26.333000000000002
+      value: 26.222
     - type: precision_at_5
-      value: 17.133000000000003
+      value: 16.866999999999997
     - type: recall_at_1
-      value: 57.760999999999996
+      value: 58.594
     - type: recall_at_10
-      value: 83.122
+      value: 83.439
     - type: recall_at_100
-      value: 93.767
+      value: 94.1
     - type: recall_at_1000
-      value: 99.333
+      value: 99.0
     - type: recall_at_3
-      value: 72.64399999999999
+      value: 71.922
     - type: recall_at_5
-      value: 77.378
+      value: 75.678
   - task:
       type: PairClassification
     dataset:
@@ -2212,51 +2212,51 @@ model-index:
       revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
     metrics:
     - type: cos_sim_accuracy
-      value: 99.8108910891089
+      value: 99.7990099009901
     - type: cos_sim_ap
-      value: 95.09566660724403
+      value: 94.8316184070519
     - type: cos_sim_f1
-      value: 90.20408163265306
+      value: 89.75265017667844
     - type: cos_sim_precision
-      value: 92.08333333333333
+      value: 90.62181447502549
     - type: cos_sim_recall
-      value: 88.4
+      value: 88.9
     - type: dot_accuracy
-      value: 99.8108910891089
+      value: 99.7990099009901
     - type: dot_ap
-      value: 95.09566660724403
+      value: 94.831611518794
     - type: dot_f1
-      value: 90.20408163265306
+      value: 89.75265017667844
     - type: dot_precision
-      value: 92.08333333333333
+      value: 90.62181447502549
     - type: dot_recall
-      value: 88.4
+      value: 88.9
     - type: euclidean_accuracy
-      value: 99.8108910891089
+      value: 99.7990099009901
     - type: euclidean_ap
-      value: 95.09566660724404
+      value: 94.83161335144017
     - type: euclidean_f1
-      value: 90.20408163265306
+      value: 89.75265017667844
     - type: euclidean_precision
-      value: 92.08333333333333
+      value: 90.62181447502549
     - type: euclidean_recall
-      value: 88.4
+      value: 88.9
     - type: manhattan_accuracy
-      value: 99.8108910891089
+      value: 99.8
     - type: manhattan_ap
-      value: 95.05229326105041
+      value: 94.84210829841739
     - type: manhattan_f1
-      value: 90.30948756976154
+      value: 89.60905349794238
     - type: manhattan_precision
-      value: 91.65808444902163
+      value: 92.26694915254238
     - type: manhattan_recall
-      value: 89.0
+      value: 87.1
     - type: max_accuracy
-      value: 99.8108910891089
+      value: 99.8
     - type: max_ap
-      value: 95.09566660724404
+      value: 94.84210829841739
     - type: max_f1
-      value: 90.30948756976154
+      value: 89.75265017667844
   - task:
       type: Clustering
     dataset:
@@ -2267,7 +2267,7 @@ model-index:
       revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
     metrics:
     - type: v_measure
-      value: 63.716387449356304
+      value: 63.18343792633894
   - task:
       type: Clustering
     dataset:
@@ -2278,7 +2278,7 @@ model-index:
       revision: 815ca46b2622cec33ccafc3735d572c266efdb44
     metrics:
     - type: v_measure
-      value: 33.57171985530598
+      value: 33.50944549814364
   - task:
       type: Reranking
     dataset:
@@ -2289,9 +2289,9 @@ model-index:
       revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
     metrics:
     - type: map
-      value: 50.31022782714341
+      value: 48.89100016028111
     - type: mrr
-      value: 51.005100903997956
+      value: 49.607630931160344
   - task:
       type: Summarization
     dataset:
@@ -2302,13 +2302,13 @@ model-index:
       revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
     metrics:
     - type: cos_sim_pearson
-      value: 30.55380844566254
+      value: 30.628145384101522
     - type: cos_sim_spearman
-      value: 30.694665194755576
+      value: 31.275306930726675
     - type: dot_pearson
-      value: 30.553807051946595
+      value: 30.62814883550051
     - type: dot_spearman
-      value: 30.694665194755576
+      value: 31.275306930726675
   - task:
       type: Retrieval
     dataset:
@@ -2319,65 +2319,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 0.231
+      value: 0.26
     - type: map_at_10
-      value: 2.097
+      value: 2.163
     - type: map_at_100
-      value: 11.899999999999999
+      value: 12.29
     - type: map_at_1000
-      value: 27.965
+      value: 29.221999999999998
     - type: map_at_3
-      value: 0.7040000000000001
+      value: 0.729
     - type: map_at_5
-      value: 1.13
+      value: 1.161
     - type: mrr_at_1
-      value: 88.0
+      value: 96.0
     - type: mrr_at_10
-      value: 94.0
+      value: 98.0
     - type: mrr_at_100
-      value: 94.0
+      value: 98.0
     - type: mrr_at_1000
-      value: 94.0
+      value: 98.0
     - type: mrr_at_3
-      value: 94.0
+      value: 98.0
     - type: mrr_at_5
-      value: 94.0
+      value: 98.0
     - type: ndcg_at_1
-      value: 82.0
+      value: 89.0
     - type: ndcg_at_10
-      value: 79.72
+      value: 82.312
     - type: ndcg_at_100
-      value: 60.731
+      value: 61.971
     - type: ndcg_at_1000
-      value: 52.528
+      value: 54.065
     - type: ndcg_at_3
-      value: 84.776
+      value: 87.87700000000001
     - type: ndcg_at_5
-      value: 83.977
+      value: 85.475
     - type: precision_at_1
-      value: 88.0
+      value: 96.0
     - type: precision_at_10
-      value: 84.8
+      value: 87.4
     - type: precision_at_100
-      value: 62.46000000000001
+      value: 64.02
     - type: precision_at_1000
-      value: 23.336000000000002
+      value: 24.093999999999998
     - type: precision_at_3
-      value: 91.333
+      value: 94.0
     - type: precision_at_5
-      value: 89.60000000000001
+      value: 90.8
     - type: recall_at_1
-      value: 0.231
+      value: 0.26
     - type: recall_at_10
-      value: 2.242
+      value: 2.302
     - type: recall_at_100
-      value: 14.629
+      value: 15.148
     - type: recall_at_1000
-      value: 48.937999999999995
+      value: 50.55
     - type: recall_at_3
-      value: 0.733
+      value: 0.744
     - type: recall_at_5
-      value: 1.187
+      value: 1.198
   - task:
       type: Retrieval
     dataset:
@@ -2388,65 +2388,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 2.326
+      value: 2.217
     - type: map_at_10
-      value: 11.613
+      value: 11.378
     - type: map_at_100
-      value: 17.999000000000002
+      value: 18.022
     - type: map_at_1000
-      value: 19.579
+      value: 19.544
     - type: map_at_3
-      value: 5.5280000000000005
+      value: 6.079
     - type: map_at_5
-      value: 8.235000000000001
+      value: 8.559
     - type: mrr_at_1
       value: 28.571
     - type: mrr_at_10
-      value: 47.865
+      value: 48.423
     - type: mrr_at_100
-      value: 48.638999999999996
+      value: 49.028
     - type: mrr_at_1000
-      value: 48.638999999999996
+      value: 49.028
     - type: mrr_at_3
-      value: 42.516999999999996
+      value: 44.897999999999996
     - type: mrr_at_5
-      value: 46.293
+      value: 46.531
     - type: ndcg_at_1
       value: 25.509999999999998
     - type: ndcg_at_10
-      value: 28.663
+      value: 27.860000000000003
     - type: ndcg_at_100
-      value: 39.208
+      value: 39.34
     - type: ndcg_at_1000
-      value: 50.32
+      value: 50.21
     - type: ndcg_at_3
-      value: 28.636
+      value: 30.968
     - type: ndcg_at_5
-      value: 28.819
+      value: 29.541
     - type: precision_at_1
       value: 28.571
     - type: precision_at_10
-      value: 27.143
+      value: 25.918000000000003
     - type: precision_at_100
-      value: 8.082
+      value: 8.184
     - type: precision_at_1000
-      value: 1.543
+      value: 1.545
     - type: precision_at_3
-      value: 31.293
+      value: 35.374
     - type: precision_at_5
-      value: 31.019999999999996
+      value: 31.837
     - type: recall_at_1
-      value: 2.326
+      value: 2.217
     - type: recall_at_10
-      value: 19.12
+      value: 18.511
     - type: recall_at_100
-      value: 49.721
+      value: 50.178
     - type: recall_at_1000
-      value: 83.123
+      value: 83.07600000000001
     - type: recall_at_3
-      value: 6.783
+      value: 7.811999999999999
     - type: recall_at_5
-      value: 11.472999999999999
+      value: 11.684
   - task:
       type: Classification
     dataset:
@@ -2457,11 +2457,11 @@ model-index:
       revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
     metrics:
     - type: accuracy
-      value: 70.39139999999999
+      value: 71.386
     - type: ap
-      value: 14.323066144268354
+      value: 14.58573366644018
     - type: f1
-      value: 54.37688697193885
+      value: 55.0170316975105
   - task:
       type: Classification
     dataset:
@@ -2472,9 +2472,9 @@ model-index:
       revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
     metrics:
     - type: accuracy
-      value: 59.81890209394454
+      value: 60.868704018109796
     - type: f1
-      value: 60.116654203584496
+      value: 61.175908652496624
   - task:
       type: Clustering
     dataset:
@@ -2485,7 +2485,7 @@ model-index:
       revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
     metrics:
     - type: v_measure
-      value: 49.5398447532487
+      value: 48.72082824812323
   - task:
       type: PairClassification
     dataset:
@@ -2496,51 +2496,51 @@ model-index:
       revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
     metrics:
     - type: cos_sim_accuracy
-      value: 85.62317458425225
+      value: 85.43839780652083
     - type: cos_sim_ap
-      value: 72.58795996654061
+      value: 72.55258980537292
     - type: cos_sim_f1
-      value: 66.74816625916871
+      value: 66.4145419055752
     - type: cos_sim_precision
-      value: 62.1867881548975
+      value: 61.765373269798054
     - type: cos_sim_recall
-      value: 72.0316622691293
+      value: 71.82058047493403
     - type: dot_accuracy
-      value: 85.62317458425225
+      value: 85.43839780652083
     - type: dot_ap
-      value: 72.58796057492127
+      value: 72.55256370197756
     - type: dot_f1
-      value: 66.74816625916871
+      value: 66.4145419055752
     - type: dot_precision
-      value: 62.1867881548975
+      value: 61.765373269798054
     - type: dot_recall
-      value: 72.0316622691293
+      value: 71.82058047493403
     - type: euclidean_accuracy
-      value: 85.62317458425225
+      value: 85.43839780652083
     - type: euclidean_ap
-      value: 72.58798058258095
+      value: 72.55259011957311
     - type: euclidean_f1
-      value: 66.74816625916871
+      value: 66.4145419055752
     - type: euclidean_precision
-      value: 62.1867881548975
+      value: 61.765373269798054
     - type: euclidean_recall
-      value: 72.0316622691293
+      value: 71.82058047493403
     - type: manhattan_accuracy
-      value: 85.5754902545151
+      value: 85.40263455921799
     - type: manhattan_ap
-      value: 72.5765018516196
+      value: 72.47856062032
     - type: manhattan_f1
-      value: 66.70611906734524
+      value: 66.39413249969942
     - type: manhattan_precision
-      value: 60.485082635758744
+      value: 60.989617848464775
     - type: manhattan_recall
-      value: 74.35356200527704
+      value: 72.84960422163589
     - type: max_accuracy
-      value: 85.62317458425225
+      value: 85.43839780652083
     - type: max_ap
-      value: 72.58798058258095
+      value: 72.55259011957311
     - type: max_f1
-      value: 66.74816625916871
+      value: 66.4145419055752
   - task:
       type: PairClassification
     dataset:
@@ -2551,49 +2551,49 @@ model-index:
       revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
     metrics:
     - type: cos_sim_accuracy
-      value: 89.03830480847596
+      value: 89.24981565568363
     - type: cos_sim_ap
-      value: 86.09219791618496
+      value: 86.38437585690401
     - type: cos_sim_f1
-      value: 78.19673991150107
+      value: 78.79039565086076
     - type: cos_sim_precision
-      value: 76.84531331301568
+      value: 77.29629629629629
     - type: cos_sim_recall
-      value: 79.59655066214968
+      value: 80.34339390206344
     - type: dot_accuracy
-      value: 89.03830480847596
+      value: 89.24981565568363
     - type: dot_ap
-      value: 86.09219596898019
+      value: 86.38437587564587
     - type: dot_f1
-      value: 78.19673991150107
+      value: 78.79039565086076
     - type: dot_precision
-      value: 76.84531331301568
+      value: 77.29629629629629
     - type: dot_recall
-      value: 79.59655066214968
+      value: 80.34339390206344
     - type: euclidean_accuracy
-      value: 89.03830480847596
+      value: 89.24981565568363
     - type: euclidean_ap
-      value: 86.09219836933755
+      value: 86.38437691024106
     - type: euclidean_f1
-      value: 78.19673991150107
+      value: 78.79039565086076
     - type: euclidean_precision
-      value: 76.84531331301568
+      value: 77.29629629629629
     - type: euclidean_recall
-      value: 79.59655066214968
+      value: 80.34339390206344
     - type: manhattan_accuracy
-      value: 89.04024527496411
+      value: 89.25563705514806
     - type: manhattan_ap
-      value: 86.07752622427454
+      value: 86.35729146774388
     - type: manhattan_f1
-      value: 78.17774911808216
+      value: 78.7238059278837
     - type: manhattan_precision
-      value: 77.04672897196262
+      value: 77.23938653034007
     - type: manhattan_recall
-      value: 79.3424699722821
+      value: 80.26639975361873
     - type: max_accuracy
-      value: 89.04024527496411
+      value: 89.25563705514806
     - type: max_ap
-      value: 86.09219836933755
+      value: 86.38437691024106
     - type: max_f1
-      value: 78.19673991150107
+      value: 78.79039565086076
 ---