Update model

Signed-off-by: Aivin V. Solatorio <avsolatorio@gmail.com>

README.md

@@ -23,11 +23,11 @@ model-index:
       revision: e8379541af4e31359cca9fbcf4b00f2671dba205
     metrics:
     - type: accuracy
-      value: 69.68656716417911
+      value: 72.8955223880597
     - type: ap
-      value: 31.84640905923114
+      value: 35.447605103320775
     - type: f1
-      value: 63.4379647836158
+      value: 66.82951715365854
   - task:
       type: Classification
     dataset:
@@ -38,11 +38,11 @@ model-index:
       revision: e2d317d38cd51312af73b3d32a06d1a08b442046
     metrics:
     - type: accuracy
-      value: 82.078025
+      value: 87.19474999999998
     - type: ap
-      value: 77.3451894150185
+      value: 83.09577890808514
     - type: f1
-      value: 81.97258648080654
+      value: 87.13833121762009
   - task:
       type: Classification
     dataset:
@@ -53,9 +53,9 @@ model-index:
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
-      value: 38.254
+      value: 42.556000000000004
     - type: f1
-      value: 37.940387801030376
+      value: 42.236256693772276
   - task:
       type: Retrieval
     dataset:
@@ -66,65 +66,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 28.876
+      value: 26.884999999999998
     - type: map_at_10
-      value: 44.741
+      value: 42.364000000000004
     - type: map_at_100
-      value: 45.688
+      value: 43.382
     - type: map_at_1000
-      value: 45.695
+      value: 43.391000000000005
     - type: map_at_3
-      value: 39.829
+      value: 37.162
     - type: map_at_5
-      value: 42.646
+      value: 40.139
     - type: mrr_at_1
-      value: 30.156
+      value: 26.884999999999998
     - type: mrr_at_10
-      value: 45.196
+      value: 42.193999999999996
     - type: mrr_at_100
-      value: 46.149
+      value: 43.211
     - type: mrr_at_1000
-      value: 46.156000000000006
+      value: 43.221
     - type: mrr_at_3
-      value: 40.339000000000006
+      value: 36.949
     - type: mrr_at_5
-      value: 43.120000000000005
+      value: 40.004
     - type: ndcg_at_1
-      value: 28.876
+      value: 26.884999999999998
     - type: ndcg_at_10
-      value: 53.581
+      value: 51.254999999999995
     - type: ndcg_at_100
-      value: 57.428000000000004
+      value: 55.481
     - type: ndcg_at_1000
-      value: 57.599000000000004
+      value: 55.68300000000001
     - type: ndcg_at_3
-      value: 43.46
+      value: 40.565
     - type: ndcg_at_5
-      value: 48.501
+      value: 45.882
     - type: precision_at_1
-      value: 28.876
+      value: 26.884999999999998
     - type: precision_at_10
-      value: 8.186
+      value: 7.9799999999999995
     - type: precision_at_100
-      value: 0.9820000000000001
+      value: 0.98
     - type: precision_at_1000
       value: 0.1
     - type: precision_at_3
-      value: 17.994
+      value: 16.808999999999997
     - type: precision_at_5
-      value: 13.229
+      value: 12.645999999999999
     - type: recall_at_1
-      value: 28.876
+      value: 26.884999999999998
     - type: recall_at_10
-      value: 81.863
+      value: 79.801
     - type: recall_at_100
-      value: 98.222
+      value: 98.009
     - type: recall_at_1000
       value: 99.502
     - type: recall_at_3
-      value: 53.983000000000004
+      value: 50.427
     - type: recall_at_5
-      value: 66.145
+      value: 63.229
   - task:
       type: Clustering
     dataset:
@@ -135,7 +135,7 @@ model-index:
       revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
     metrics:
     - type: v_measure
-      value: 44.81109445338116
+      value: 45.31044837358167
   - task:
       type: Clustering
     dataset:
@@ -146,7 +146,7 @@ model-index:
       revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
     metrics:
     - type: v_measure
-      value: 35.705350248894476
+      value: 35.44751738734691
   - task:
       type: Reranking
     dataset:
@@ -157,9 +157,9 @@ model-index:
       revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
     metrics:
     - type: map
-      value: 63.13335364248881
+      value: 62.96517580629869
     - type: mrr
-      value: 76.80605021325243
+      value: 76.30051004704744
   - task:
       type: STS
     dataset:
@@ -170,17 +170,17 @@ model-index:
       revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
     metrics:
     - type: cos_sim_pearson
-      value: 83.33741812376516
+      value: 83.97262600499639
     - type: cos_sim_spearman
-      value: 80.51267790947811
+      value: 81.25787561220484
     - type: euclidean_pearson
-      value: 67.49002803470997
+      value: 64.96260261677082
     - type: euclidean_spearman
-      value: 65.39064659674824
+      value: 64.17616109254686
     - type: manhattan_pearson
-      value: 67.3390206944745
+      value: 65.05620628102835
     - type: manhattan_spearman
-      value: 65.35329634810715
+      value: 64.71171546419122
   - task:
       type: Classification
     dataset:
@@ -191,9 +191,9 @@ model-index:
       revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
     metrics:
     - type: accuracy
-      value: 83.13636363636364
+      value: 84.2435064935065
     - type: f1
-      value: 83.10810612376775
+      value: 84.2334859253828
   - task:
       type: Clustering
     dataset:
@@ -204,7 +204,7 @@ model-index:
       revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
     metrics:
     - type: v_measure
-      value: 38.47849860204599
+      value: 38.38358435972693
   - task:
       type: Clustering
     dataset:
@@ -215,7 +215,7 @@ model-index:
       revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
     metrics:
     - type: v_measure
-      value: 31.159196233892057
+      value: 31.093619653843124
   - task:
       type: Retrieval
     dataset:
@@ -226,65 +226,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 34.096
+      value: 35.016999999999996
     - type: map_at_10
-      value: 46.61
+      value: 47.019
     - type: map_at_100
-      value: 48.163
+      value: 48.634
     - type: map_at_1000
-      value: 48.272
+      value: 48.757
     - type: map_at_3
-      value: 43.03
+      value: 43.372
     - type: map_at_5
-      value: 45.036
+      value: 45.314
     - type: mrr_at_1
-      value: 42.489
+      value: 43.491
     - type: mrr_at_10
-      value: 52.83
+      value: 53.284
     - type: mrr_at_100
-      value: 53.525
+      value: 54.038
     - type: mrr_at_1000
-      value: 53.561
+      value: 54.071000000000005
     - type: mrr_at_3
-      value: 50.453
+      value: 51.001
     - type: mrr_at_5
-      value: 51.991
+      value: 52.282
     - type: ndcg_at_1
-      value: 42.489
+      value: 43.491
     - type: ndcg_at_10
-      value: 53.21900000000001
+      value: 53.498999999999995
     - type: ndcg_at_100
-      value: 58.277
+      value: 58.733999999999995
     - type: ndcg_at_1000
-      value: 59.836999999999996
+      value: 60.307
     - type: ndcg_at_3
-      value: 48.64
+      value: 48.841
     - type: ndcg_at_5
-      value: 50.800999999999995
+      value: 50.76199999999999
     - type: precision_at_1
-      value: 42.489
+      value: 43.491
     - type: precision_at_10
-      value: 10.343
+      value: 10.315000000000001
     - type: precision_at_100
-      value: 1.624
+      value: 1.6209999999999998
     - type: precision_at_1000
-      value: 0.20400000000000001
+      value: 0.20500000000000002
     - type: precision_at_3
-      value: 23.605
+      value: 23.462
     - type: precision_at_5
-      value: 16.881
+      value: 16.652
     - type: recall_at_1
-      value: 34.096
+      value: 35.016999999999996
     - type: recall_at_10
-      value: 65.003
+      value: 64.92
     - type: recall_at_100
-      value: 86.211
+      value: 86.605
     - type: recall_at_1000
-      value: 96.017
+      value: 96.174
     - type: recall_at_3
-      value: 51.307
+      value: 50.99
     - type: recall_at_5
-      value: 57.873
+      value: 56.93
   - task:
       type: Retrieval
     dataset:
@@ -295,65 +295,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 29.482000000000003
+      value: 29.866
     - type: map_at_10
-      value: 39.793
+      value: 40.438
     - type: map_at_100
-      value: 41.028
+      value: 41.77
     - type: map_at_1000
-      value: 41.163
+      value: 41.913
     - type: map_at_3
-      value: 36.674
+      value: 37.634
     - type: map_at_5
-      value: 38.379999999999995
+      value: 39.226
     - type: mrr_at_1
-      value: 37.197
+      value: 37.834
     - type: mrr_at_10
-      value: 45.991
+      value: 46.765
     - type: mrr_at_100
-      value: 46.599000000000004
+      value: 47.410000000000004
     - type: mrr_at_1000
-      value: 46.649
+      value: 47.461
     - type: mrr_at_3
-      value: 43.662
+      value: 44.735
     - type: mrr_at_5
-      value: 45.054
+      value: 46.028000000000006
     - type: ndcg_at_1
-      value: 37.197
+      value: 37.834
     - type: ndcg_at_10
-      value: 45.73
+      value: 46.303
     - type: ndcg_at_100
-      value: 50.074
+      value: 50.879
     - type: ndcg_at_1000
-      value: 52.312000000000005
+      value: 53.112
     - type: ndcg_at_3
-      value: 41.308
+      value: 42.601
     - type: ndcg_at_5
-      value: 43.323
+      value: 44.384
     - type: precision_at_1
-      value: 37.197
+      value: 37.834
     - type: precision_at_10
-      value: 8.854
+      value: 8.898
     - type: precision_at_100
-      value: 1.411
+      value: 1.4409999999999998
     - type: precision_at_1000
-      value: 0.191
+      value: 0.19499999999999998
     - type: precision_at_3
-      value: 20.085
+      value: 20.977
     - type: precision_at_5
-      value: 14.42
+      value: 14.841
     - type: recall_at_1
-      value: 29.482000000000003
+      value: 29.866
     - type: recall_at_10
-      value: 56.077999999999996
+      value: 56.06100000000001
     - type: recall_at_100
-      value: 74.83800000000001
+      value: 75.809
     - type: recall_at_1000
-      value: 89.128
+      value: 89.875
     - type: recall_at_3
-      value: 42.971
+      value: 44.707
     - type: recall_at_5
-      value: 48.577
+      value: 49.846000000000004
   - task:
       type: Retrieval
     dataset:
@@ -364,65 +364,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 38.679
+      value: 38.985
     - type: map_at_10
-      value: 50.854
+      value: 51.165000000000006
     - type: map_at_100
-      value: 51.849000000000004
+      value: 52.17
     - type: map_at_1000
-      value: 51.909000000000006
+      value: 52.229000000000006
     - type: map_at_3
-      value: 47.82
+      value: 48.089999999999996
     - type: map_at_5
-      value: 49.479
+      value: 49.762
     - type: mrr_at_1
-      value: 44.263000000000005
+      value: 44.577
     - type: mrr_at_10
-      value: 54.161
+      value: 54.493
     - type: mrr_at_100
-      value: 54.833
+      value: 55.137
     - type: mrr_at_1000
-      value: 54.86600000000001
+      value: 55.167
     - type: mrr_at_3
-      value: 51.912000000000006
+      value: 52.079
     - type: mrr_at_5
-      value: 53.201
+      value: 53.518
     - type: ndcg_at_1
-      value: 44.263000000000005
+      value: 44.577
     - type: ndcg_at_10
-      value: 56.486000000000004
+      value: 56.825
     - type: ndcg_at_100
-      value: 60.553999999999995
+      value: 60.842
     - type: ndcg_at_1000
-      value: 61.77
+      value: 62.015
     - type: ndcg_at_3
-      value: 51.456999999999994
+      value: 51.699
     - type: ndcg_at_5
-      value: 53.83
+      value: 54.11
     - type: precision_at_1
-      value: 44.263000000000005
+      value: 44.577
     - type: precision_at_10
-      value: 9.041
+      value: 9.11
     - type: precision_at_100
-      value: 1.204
+      value: 1.206
     - type: precision_at_1000
       value: 0.135
     - type: precision_at_3
-      value: 22.989
+      value: 23.156
     - type: precision_at_5
-      value: 15.598999999999998
+      value: 15.737000000000002
     - type: recall_at_1
-      value: 38.679
+      value: 38.985
     - type: recall_at_10
-      value: 69.77799999999999
+      value: 70.164
     - type: recall_at_100
-      value: 87.59
+      value: 87.708
     - type: recall_at_1000
-      value: 96.202
+      value: 95.979
     - type: recall_at_3
-      value: 56.351
+      value: 56.285
     - type: recall_at_5
-      value: 62.16199999999999
+      value: 62.303
   - task:
       type: Retrieval
     dataset:
@@ -433,65 +433,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 27.245
+      value: 28.137
     - type: map_at_10
-      value: 36.104
+      value: 36.729
     - type: map_at_100
-      value: 37.207
+      value: 37.851
     - type: map_at_1000
-      value: 37.288
+      value: 37.932
     - type: map_at_3
-      value: 33.427
+      value: 34.074
     - type: map_at_5
-      value: 34.866
+      value: 35.398
     - type: mrr_at_1
-      value: 29.604999999999997
+      value: 30.621
     - type: mrr_at_10
-      value: 38.346999999999994
+      value: 39.007
     - type: mrr_at_100
-      value: 39.274
+      value: 39.961
     - type: mrr_at_1000
-      value: 39.336
+      value: 40.02
     - type: mrr_at_3
-      value: 35.876000000000005
+      value: 36.591
     - type: mrr_at_5
-      value: 37.164
+      value: 37.806
     - type: ndcg_at_1
-      value: 29.604999999999997
+      value: 30.621
     - type: ndcg_at_10
-      value: 41.253
+      value: 41.772
     - type: ndcg_at_100
-      value: 46.511
+      value: 47.181
     - type: ndcg_at_1000
-      value: 48.503
+      value: 49.053999999999995
     - type: ndcg_at_3
-      value: 35.975
+      value: 36.577
     - type: ndcg_at_5
-      value: 38.35
+      value: 38.777
     - type: precision_at_1
-      value: 29.604999999999997
+      value: 30.621
     - type: precision_at_10
-      value: 6.305
+      value: 6.372999999999999
     - type: precision_at_100
-      value: 0.9440000000000001
+      value: 0.955
     - type: precision_at_1000
       value: 0.11499999999999999
     - type: precision_at_3
-      value: 15.179
+      value: 15.367
     - type: precision_at_5
-      value: 10.508000000000001
+      value: 10.531
     - type: recall_at_1
-      value: 27.245
+      value: 28.137
     - type: recall_at_10
-      value: 55.07300000000001
+      value: 55.162
     - type: recall_at_100
-      value: 79.036
+      value: 79.931
     - type: recall_at_1000
-      value: 93.809
+      value: 93.67
     - type: recall_at_3
-      value: 40.593
+      value: 41.057
     - type: recall_at_5
-      value: 46.318
+      value: 46.327
   - task:
       type: Retrieval
     dataset:
@@ -502,65 +502,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 15.440000000000001
+      value: 16.798
     - type: map_at_10
-      value: 23.758000000000003
+      value: 25.267
     - type: map_at_100
-      value: 25.1
+      value: 26.579000000000004
     - type: map_at_1000
-      value: 25.230000000000004
+      value: 26.697
     - type: map_at_3
-      value: 21.093
+      value: 22.456
     - type: map_at_5
-      value: 22.431
+      value: 23.912
     - type: mrr_at_1
-      value: 19.279
+      value: 20.771
     - type: mrr_at_10
-      value: 28.077
+      value: 29.843999999999998
     - type: mrr_at_100
-      value: 29.164
+      value: 30.849
     - type: mrr_at_1000
-      value: 29.237000000000002
+      value: 30.916
     - type: mrr_at_3
-      value: 25.497999999999998
+      value: 27.156000000000002
     - type: mrr_at_5
-      value: 26.76
+      value: 28.518
     - type: ndcg_at_1
-      value: 19.279
+      value: 20.771
     - type: ndcg_at_10
-      value: 29.025000000000002
+      value: 30.792
     - type: ndcg_at_100
-      value: 35.244
+      value: 36.945
     - type: ndcg_at_1000
-      value: 38.112
+      value: 39.619
     - type: ndcg_at_3
-      value: 24.079
+      value: 25.52
     - type: ndcg_at_5
-      value: 26.064999999999998
+      value: 27.776
     - type: precision_at_1
-      value: 19.279
+      value: 20.771
     - type: precision_at_10
-      value: 5.498
+      value: 5.734
     - type: precision_at_100
-      value: 0.985
+      value: 1.031
     - type: precision_at_1000
-      value: 0.136
+      value: 0.13899999999999998
     - type: precision_at_3
-      value: 11.692
+      value: 12.148
     - type: precision_at_5
-      value: 8.383000000000001
+      value: 9.055
     - type: recall_at_1
-      value: 15.440000000000001
+      value: 16.798
     - type: recall_at_10
-      value: 40.855999999999995
+      value: 43.332
     - type: recall_at_100
-      value: 67.916
+      value: 70.016
     - type: recall_at_1000
-      value: 88.11
+      value: 88.90400000000001
     - type: recall_at_3
-      value: 27.387
+      value: 28.842000000000002
     - type: recall_at_5
-      value: 32.387
+      value: 34.37
   - task:
       type: Retrieval
     dataset:
@@ -571,65 +571,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 29.351
+      value: 31.180000000000003
     - type: map_at_10
-      value: 40.477999999999994
+      value: 41.78
     - type: map_at_100
-      value: 41.8
+      value: 43.102000000000004
     - type: map_at_1000
-      value: 41.926
+      value: 43.222
     - type: map_at_3
-      value: 37.246
+      value: 38.505
     - type: map_at_5
-      value: 39.206
+      value: 40.443
     - type: mrr_at_1
-      value: 36.092
+      value: 37.824999999999996
     - type: mrr_at_10
-      value: 46.319
+      value: 47.481
     - type: mrr_at_100
-      value: 47.087
+      value: 48.268
     - type: mrr_at_1000
-      value: 47.13
+      value: 48.313
     - type: mrr_at_3
-      value: 43.808
+      value: 44.946999999999996
     - type: mrr_at_5
-      value: 45.406
+      value: 46.492
     - type: ndcg_at_1
-      value: 36.092
+      value: 37.824999999999996
     - type: ndcg_at_10
-      value: 46.707
+      value: 47.827
     - type: ndcg_at_100
-      value: 52.266
+      value: 53.407000000000004
     - type: ndcg_at_1000
-      value: 54.303000000000004
+      value: 55.321
     - type: ndcg_at_3
-      value: 41.858000000000004
+      value: 42.815
     - type: ndcg_at_5
-      value: 44.407999999999994
+      value: 45.363
     - type: precision_at_1
-      value: 36.092
+      value: 37.824999999999996
     - type: precision_at_10
-      value: 8.527
+      value: 8.652999999999999
     - type: precision_at_100
-      value: 1.34
+      value: 1.354
     - type: precision_at_1000
       value: 0.172
     - type: precision_at_3
-      value: 20.212
+      value: 20.372
     - type: precision_at_5
-      value: 14.456
+      value: 14.591000000000001
     - type: recall_at_1
-      value: 29.351
+      value: 31.180000000000003
     - type: recall_at_10
-      value: 59.254
+      value: 59.894000000000005
     - type: recall_at_100
-      value: 83.047
+      value: 83.722
     - type: recall_at_1000
-      value: 95.911
+      value: 95.705
     - type: recall_at_3
-      value: 45.488
+      value: 45.824
     - type: recall_at_5
-      value: 52.186
+      value: 52.349999999999994
   - task:
       type: Retrieval
     dataset:
@@ -640,65 +640,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 25.601000000000003
+      value: 24.66
     - type: map_at_10
-      value: 34.589999999999996
+      value: 34.141
     - type: map_at_100
-      value: 35.917
+      value: 35.478
     - type: map_at_1000
-      value: 36.032
+      value: 35.594
     - type: map_at_3
-      value: 31.338
+      value: 30.446
     - type: map_at_5
-      value: 33.128
+      value: 32.583
     - type: mrr_at_1
-      value: 31.163999999999998
+      value: 29.909000000000002
     - type: mrr_at_10
-      value: 39.646
+      value: 38.949
     - type: mrr_at_100
-      value: 40.491
+      value: 39.803
     - type: mrr_at_1000
-      value: 40.549
+      value: 39.867999999999995
     - type: mrr_at_3
-      value: 36.91
+      value: 35.921
     - type: mrr_at_5
-      value: 38.446000000000005
+      value: 37.753
     - type: ndcg_at_1
-      value: 31.163999999999998
+      value: 29.909000000000002
     - type: ndcg_at_10
-      value: 40.321
+      value: 40.012
     - type: ndcg_at_100
-      value: 45.894
+      value: 45.707
     - type: ndcg_at_1000
-      value: 48.233
+      value: 48.15
     - type: ndcg_at_3
-      value: 34.871
+      value: 34.015
     - type: ndcg_at_5
-      value: 37.302
+      value: 37.002
     - type: precision_at_1
-      value: 31.163999999999998
+      value: 29.909000000000002
     - type: precision_at_10
-      value: 7.523000000000001
+      value: 7.693999999999999
     - type: precision_at_100
-      value: 1.188
+      value: 1.2229999999999999
     - type: precision_at_1000
-      value: 0.157
+      value: 0.16
     - type: precision_at_3
-      value: 16.591
+      value: 16.323999999999998
     - type: precision_at_5
-      value: 12.055
+      value: 12.306000000000001
     - type: recall_at_1
-      value: 25.601000000000003
+      value: 24.66
     - type: recall_at_10
-      value: 52.422000000000004
+      value: 52.478
     - type: recall_at_100
-      value: 76.426
+      value: 77.051
     - type: recall_at_1000
-      value: 92.142
+      value: 93.872
     - type: recall_at_3
-      value: 37.141000000000005
+      value: 36.382999999999996
     - type: recall_at_5
-      value: 43.449
+      value: 43.903999999999996
   - task:
       type: Retrieval
     dataset:
@@ -709,65 +709,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.267916666666668
+      value: 26.768416666666667
     - type: map_at_10
-      value: 35.758250000000004
+      value: 36.2485
     - type: map_at_100
-      value: 37.0185
+      value: 37.520833333333336
     - type: map_at_1000
-      value: 37.136916666666664
+      value: 37.64033333333334
     - type: map_at_3
-      value: 32.85125
+      value: 33.25791666666667
     - type: map_at_5
-      value: 34.4165
+      value: 34.877250000000004
     - type: mrr_at_1
-      value: 31.131083333333343
+      value: 31.65408333333334
     - type: mrr_at_10
-      value: 39.95941666666667
+      value: 40.43866666666667
     - type: mrr_at_100
-      value: 40.81541666666666
+      value: 41.301249999999996
     - type: mrr_at_1000
-      value: 40.87358333333332
+      value: 41.357499999999995
     - type: mrr_at_3
-      value: 37.5175
+      value: 37.938916666666664
     - type: mrr_at_5
-      value: 38.86833333333334
+      value: 39.35183333333334
     - type: ndcg_at_1
-      value: 31.131083333333343
+      value: 31.65408333333334
     - type: ndcg_at_10
-      value: 41.26174999999999
+      value: 41.76983333333334
     - type: ndcg_at_100
-      value: 46.55975
+      value: 47.138
     - type: ndcg_at_1000
-      value: 48.80016666666666
+      value: 49.33816666666667
     - type: ndcg_at_3
-      value: 36.37566666666667
+      value: 36.76683333333333
     - type: ndcg_at_5
-      value: 38.55166666666667
+      value: 39.04441666666666
     - type: precision_at_1
-      value: 31.131083333333343
+      value: 31.65408333333334
     - type: precision_at_10
-      value: 7.315916666666666
+      value: 7.396249999999998
     - type: precision_at_100
-      value: 1.1813333333333333
+      value: 1.1974166666666666
     - type: precision_at_1000
-      value: 0.15666666666666665
+      value: 0.15791666666666668
     - type: precision_at_3
-      value: 16.818166666666663
+      value: 16.955583333333333
     - type: precision_at_5
-      value: 11.923
+      value: 12.09925
     - type: recall_at_1
-      value: 26.267916666666668
+      value: 26.768416666666667
     - type: recall_at_10
-      value: 53.28391666666666
+      value: 53.82366666666667
     - type: recall_at_100
-      value: 76.53983333333332
+      value: 77.39600000000002
     - type: recall_at_1000
-      value: 91.93008333333334
+      value: 92.46300000000001
     - type: recall_at_3
-      value: 39.60583333333334
+      value: 39.90166666666667
     - type: recall_at_5
-      value: 45.25741666666667
+      value: 45.754000000000005
   - task:
       type: Retrieval
     dataset:
@@ -778,65 +778,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 23.372
+      value: 24.369
     - type: map_at_10
-      value: 30.916
+      value: 32.025
     - type: map_at_100
-      value: 31.980999999999998
+      value: 33.08
     - type: map_at_1000
-      value: 32.07
+      value: 33.169
     - type: map_at_3
-      value: 28.778
+      value: 29.589
     - type: map_at_5
-      value: 29.872
+      value: 30.894
     - type: mrr_at_1
-      value: 26.074
+      value: 27.301
     - type: mrr_at_10
-      value: 33.451
+      value: 34.64
     - type: mrr_at_100
-      value: 34.366
+      value: 35.556
     - type: mrr_at_1000
-      value: 34.424
+      value: 35.616
     - type: mrr_at_3
-      value: 31.569999999999997
+      value: 32.515
     - type: mrr_at_5
-      value: 32.467
+      value: 33.666000000000004
     - type: ndcg_at_1
-      value: 26.074
+      value: 27.301
     - type: ndcg_at_10
-      value: 35.119
+      value: 36.386
     - type: ndcg_at_100
-      value: 40.357
+      value: 41.598
     - type: ndcg_at_1000
-      value: 42.548
+      value: 43.864999999999995
     - type: ndcg_at_3
-      value: 31.281
+      value: 32.07
     - type: ndcg_at_5
-      value: 32.866
+      value: 34.028999999999996
     - type: precision_at_1
-      value: 26.074
+      value: 27.301
     - type: precision_at_10
-      value: 5.583
+      value: 5.782
     - type: precision_at_100
-      value: 0.899
+      value: 0.923
     - type: precision_at_1000
-      value: 0.116
+      value: 0.11900000000000001
     - type: precision_at_3
-      value: 13.700999999999999
+      value: 13.804
     - type: precision_at_5
-      value: 9.447999999999999
+      value: 9.693
     - type: recall_at_1
-      value: 23.372
+      value: 24.369
     - type: recall_at_10
-      value: 45.396
+      value: 47.026
     - type: recall_at_100
-      value: 69.26
+      value: 70.76400000000001
     - type: recall_at_1000
-      value: 85.438
+      value: 87.705
     - type: recall_at_3
-      value: 34.373
+      value: 35.366
     - type: recall_at_5
-      value: 38.509
+      value: 40.077
   - task:
       type: Retrieval
     dataset:
@@ -847,65 +847,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 17.483999999999998
+      value: 17.878
     - type: map_at_10
-      value: 25.191999999999997
+      value: 25.582
     - type: map_at_100
-      value: 26.432
+      value: 26.848
     - type: map_at_1000
-      value: 26.566000000000003
+      value: 26.985
     - type: map_at_3
-      value: 22.697
+      value: 22.997
     - type: map_at_5
-      value: 24.101
+      value: 24.487000000000002
     - type: mrr_at_1
-      value: 21.645
+      value: 22.023
     - type: mrr_at_10
-      value: 29.243000000000002
+      value: 29.615000000000002
     - type: mrr_at_100
-      value: 30.232
+      value: 30.656
     - type: mrr_at_1000
-      value: 30.312
+      value: 30.737
     - type: mrr_at_3
-      value: 26.967000000000002
+      value: 27.322999999999997
     - type: mrr_at_5
-      value: 28.262999999999998
+      value: 28.665000000000003
     - type: ndcg_at_1
-      value: 21.645
+      value: 22.023
     - type: ndcg_at_10
-      value: 30.087999999999997
+      value: 30.476999999999997
     - type: ndcg_at_100
-      value: 35.806
+      value: 36.258
     - type: ndcg_at_1000
-      value: 38.763
+      value: 39.287
     - type: ndcg_at_3
-      value: 25.746999999999996
+      value: 25.995
     - type: ndcg_at_5
-      value: 27.765
+      value: 28.174
     - type: precision_at_1
-      value: 21.645
+      value: 22.023
     - type: precision_at_10
-      value: 5.6129999999999995
+      value: 5.657
     - type: precision_at_100
-      value: 1.004
+      value: 1.01
     - type: precision_at_1000
-      value: 0.14400000000000002
+      value: 0.145
     - type: precision_at_3
-      value: 12.331
+      value: 12.491
     - type: precision_at_5
-      value: 9.009
+      value: 9.112
     - type: recall_at_1
-      value: 17.483999999999998
+      value: 17.878
     - type: recall_at_10
-      value: 40.723
+      value: 41.155
     - type: recall_at_100
-      value: 66.226
+      value: 66.62599999999999
     - type: recall_at_1000
-      value: 87.312
+      value: 88.08200000000001
     - type: recall_at_3
-      value: 28.481
+      value: 28.505000000000003
     - type: recall_at_5
-      value: 33.777
+      value: 34.284
   - task:
       type: Retrieval
     dataset:
@@ -916,65 +916,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.735
+      value: 26.369999999999997
     - type: map_at_10
-      value: 36.431000000000004
+      value: 36.115
     - type: map_at_100
-      value: 37.696000000000005
+      value: 37.346000000000004
     - type: map_at_1000
-      value: 37.793
+      value: 37.449
     - type: map_at_3
-      value: 33.416000000000004
+      value: 32.976
     - type: map_at_5
-      value: 34.934
+      value: 34.782000000000004
     - type: mrr_at_1
-      value: 31.25
+      value: 30.784
     - type: mrr_at_10
-      value: 40.516000000000005
+      value: 40.014
     - type: mrr_at_100
-      value: 41.392
+      value: 40.913
     - type: mrr_at_1000
-      value: 41.449000000000005
+      value: 40.967999999999996
     - type: mrr_at_3
-      value: 37.842
+      value: 37.205
     - type: mrr_at_5
-      value: 39.265
+      value: 38.995999999999995
     - type: ndcg_at_1
-      value: 31.25
+      value: 30.784
     - type: ndcg_at_10
-      value: 42.191
+      value: 41.797000000000004
     - type: ndcg_at_100
-      value: 47.683
+      value: 47.355000000000004
     - type: ndcg_at_1000
-      value: 49.815
+      value: 49.535000000000004
     - type: ndcg_at_3
-      value: 36.744
+      value: 36.29
     - type: ndcg_at_5
-      value: 39.007
+      value: 39.051
     - type: precision_at_1
-      value: 31.25
+      value: 30.784
     - type: precision_at_10
-      value: 7.276000000000001
+      value: 7.164
     - type: precision_at_100
-      value: 1.125
+      value: 1.122
     - type: precision_at_1000
-      value: 0.14100000000000001
+      value: 0.14200000000000002
     - type: precision_at_3
-      value: 16.76
+      value: 16.636
     - type: precision_at_5
-      value: 11.791
+      value: 11.996
     - type: recall_at_1
-      value: 26.735
+      value: 26.369999999999997
     - type: recall_at_10
-      value: 55.444
+      value: 55.010000000000005
     - type: recall_at_100
-      value: 79.098
+      value: 79.105
     - type: recall_at_1000
-      value: 93.815
+      value: 94.053
     - type: recall_at_3
-      value: 40.623
+      value: 40.139
     - type: recall_at_5
-      value: 46.322
+      value: 47.089
   - task:
       type: Retrieval
     dataset:
@@ -985,65 +985,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.495
+      value: 26.421
     - type: map_at_10
-      value: 35.648
+      value: 35.253
     - type: map_at_100
-      value: 37.275000000000006
+      value: 36.97
     - type: map_at_1000
-      value: 37.494
+      value: 37.195
     - type: map_at_3
-      value: 32.446999999999996
+      value: 32.068000000000005
     - type: map_at_5
-      value: 34.233000000000004
+      value: 33.763
     - type: mrr_at_1
-      value: 31.225
+      value: 31.423000000000002
     - type: mrr_at_10
-      value: 40.127
+      value: 39.995999999999995
     - type: mrr_at_100
-      value: 41.092
+      value: 40.977999999999994
     - type: mrr_at_1000
-      value: 41.148
+      value: 41.024
     - type: mrr_at_3
-      value: 37.153999999999996
+      value: 36.989
     - type: mrr_at_5
-      value: 38.873999999999995
+      value: 38.629999999999995
     - type: ndcg_at_1
-      value: 31.225
+      value: 31.423000000000002
     - type: ndcg_at_10
-      value: 41.665
+      value: 41.382000000000005
     - type: ndcg_at_100
-      value: 47.557
+      value: 47.532000000000004
     - type: ndcg_at_1000
-      value: 49.992
+      value: 49.829
     - type: ndcg_at_3
-      value: 36.114000000000004
+      value: 35.809000000000005
     - type: ndcg_at_5
-      value: 38.675
+      value: 38.308
     - type: precision_at_1
-      value: 31.225
+      value: 31.423000000000002
     - type: precision_at_10
-      value: 7.904999999999999
+      value: 7.885000000000001
     - type: precision_at_100
-      value: 1.5890000000000002
+      value: 1.609
     - type: precision_at_1000
       value: 0.246
     - type: precision_at_3
-      value: 16.535
+      value: 16.469
     - type: precision_at_5
-      value: 12.134
+      value: 12.174
     - type: recall_at_1
-      value: 26.495
+      value: 26.421
     - type: recall_at_10
-      value: 53.727000000000004
+      value: 53.618
     - type: recall_at_100
-      value: 79.34400000000001
+      value: 80.456
     - type: recall_at_1000
-      value: 94.35900000000001
+      value: 94.505
     - type: recall_at_3
-      value: 38.432
+      value: 37.894
     - type: recall_at_5
-      value: 45.050000000000004
+      value: 44.352999999999994
   - task:
       type: Retrieval
     dataset:
@@ -1054,65 +1054,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 21.235
+      value: 21.54
     - type: map_at_10
-      value: 28.725
+      value: 29.468
     - type: map_at_100
-      value: 29.774
+      value: 30.422
     - type: map_at_1000
-      value: 29.9
+      value: 30.542
     - type: map_at_3
-      value: 26.249
+      value: 26.888
     - type: map_at_5
-      value: 27.332
+      value: 27.962999999999997
     - type: mrr_at_1
       value: 23.29
     - type: mrr_at_10
-      value: 30.805
+      value: 31.176
     - type: mrr_at_100
-      value: 31.730000000000004
+      value: 32.046
     - type: mrr_at_1000
-      value: 31.822
+      value: 32.129000000000005
     - type: mrr_at_3
-      value: 28.558
+      value: 28.804999999999996
     - type: mrr_at_5
-      value: 29.529
+      value: 29.868
     - type: ndcg_at_1
       value: 23.29
     - type: ndcg_at_10
-      value: 33.337
+      value: 34.166000000000004
     - type: ndcg_at_100
-      value: 38.494
+      value: 39.217999999999996
     - type: ndcg_at_1000
-      value: 41.414
+      value: 41.964
     - type: ndcg_at_3
-      value: 28.433999999999997
+      value: 28.970000000000002
     - type: ndcg_at_5
-      value: 30.227999999999998
+      value: 30.797
     - type: precision_at_1
       value: 23.29
     - type: precision_at_10
-      value: 5.323
+      value: 5.489999999999999
     - type: precision_at_100
-      value: 0.8630000000000001
+      value: 0.874
     - type: precision_at_1000
-      value: 0.123
+      value: 0.122
     - type: precision_at_3
-      value: 12.138
+      value: 12.261
     - type: precision_at_5
-      value: 8.392
+      value: 8.503
     - type: recall_at_1
-      value: 21.235
+      value: 21.54
     - type: recall_at_10
-      value: 45.653
+      value: 47.064
     - type: recall_at_100
-      value: 69.486
+      value: 70.959
     - type: recall_at_1000
-      value: 90.91799999999999
+      value: 91.032
     - type: recall_at_3
-      value: 32.123000000000005
+      value: 32.828
     - type: recall_at_5
-      value: 36.479
+      value: 37.214999999999996
   - task:
       type: Retrieval
     dataset:
@@ -1123,65 +1123,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 9.180000000000001
+      value: 10.102
     - type: map_at_10
-      value: 16.461000000000002
+      value: 17.469
     - type: map_at_100
-      value: 18.093999999999998
+      value: 19.244
     - type: map_at_1000
-      value: 18.297
+      value: 19.435
     - type: map_at_3
-      value: 13.475000000000001
+      value: 14.257
     - type: map_at_5
-      value: 15.02
+      value: 16.028000000000002
     - type: mrr_at_1
-      value: 21.303
+      value: 22.866
     - type: mrr_at_10
-      value: 31.755
+      value: 33.535
     - type: mrr_at_100
-      value: 32.826
+      value: 34.583999999999996
     - type: mrr_at_1000
-      value: 32.873000000000005
+      value: 34.622
     - type: mrr_at_3
-      value: 28.469
+      value: 29.946
     - type: mrr_at_5
-      value: 30.325999999999997
+      value: 32.157000000000004
     - type: ndcg_at_1
-      value: 21.303
+      value: 22.866
     - type: ndcg_at_10
-      value: 23.892
+      value: 25.16
     - type: ndcg_at_100
-      value: 30.848
+      value: 32.347
     - type: ndcg_at_1000
-      value: 34.577999999999996
+      value: 35.821
     - type: ndcg_at_3
-      value: 18.88
+      value: 19.816
     - type: ndcg_at_5
-      value: 20.683
+      value: 22.026
     - type: precision_at_1
-      value: 21.303
+      value: 22.866
     - type: precision_at_10
-      value: 7.693999999999999
+      value: 8.072
     - type: precision_at_100
-      value: 1.517
+      value: 1.5709999999999997
     - type: precision_at_1000
-      value: 0.22
+      value: 0.22200000000000003
     - type: precision_at_3
-      value: 14.180000000000001
+      value: 14.701
     - type: precision_at_5
-      value: 11.231
+      value: 11.960999999999999
     - type: recall_at_1
-      value: 9.180000000000001
+      value: 10.102
     - type: recall_at_10
-      value: 29.813000000000002
+      value: 31.086000000000002
     - type: recall_at_100
-      value: 54.116
+      value: 55.896
     - type: recall_at_1000
-      value: 75.248
+      value: 75.375
     - type: recall_at_3
-      value: 17.684
+      value: 18.343999999999998
     - type: recall_at_5
-      value: 22.557
+      value: 24.102
   - task:
       type: Retrieval
     dataset:
@@ -1192,65 +1192,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 8.508000000000001
+      value: 7.961
     - type: map_at_10
-      value: 16.39
+      value: 16.058
     - type: map_at_100
-      value: 21.981
+      value: 21.878
     - type: map_at_1000
-      value: 23.253
+      value: 23.156
     - type: map_at_3
-      value: 12.465
+      value: 12.206999999999999
     - type: map_at_5
-      value: 14.194999999999999
+      value: 13.747000000000002
     - type: mrr_at_1
-      value: 60.0
+      value: 60.5
     - type: mrr_at_10
-      value: 68.499
+      value: 68.488
     - type: mrr_at_100
-      value: 69.014
+      value: 69.02199999999999
     - type: mrr_at_1000
-      value: 69.024
+      value: 69.03200000000001
     - type: mrr_at_3
-      value: 66.625
+      value: 66.792
     - type: mrr_at_5
-      value: 67.887
+      value: 67.62899999999999
     - type: ndcg_at_1
-      value: 48.5
+      value: 49.125
     - type: ndcg_at_10
-      value: 34.870000000000005
+      value: 34.827999999999996
     - type: ndcg_at_100
-      value: 38.448
+      value: 38.723
     - type: ndcg_at_1000
-      value: 45.668
+      value: 45.988
     - type: ndcg_at_3
-      value: 39.931
+      value: 40.302
     - type: ndcg_at_5
-      value: 37.007
+      value: 36.781000000000006
     - type: precision_at_1
-      value: 60.0
+      value: 60.5
     - type: precision_at_10
-      value: 26.924999999999997
+      value: 26.825
     - type: precision_at_100
-      value: 8.358
+      value: 8.445
     - type: precision_at_1000
-      value: 1.7850000000000001
+      value: 1.7000000000000002
     - type: precision_at_3
-      value: 43.0
+      value: 43.25
     - type: precision_at_5
-      value: 35.449999999999996
+      value: 34.5
     - type: recall_at_1
-      value: 8.508000000000001
+      value: 7.961
     - type: recall_at_10
-      value: 21.089
+      value: 20.843
     - type: recall_at_100
-      value: 43.146
+      value: 43.839
     - type: recall_at_1000
-      value: 66.776
+      value: 67.33
     - type: recall_at_3
-      value: 13.33
+      value: 13.516
     - type: recall_at_5
-      value: 16.225
+      value: 15.956000000000001
   - task:
       type: Classification
     dataset:
@@ -1261,9 +1261,9 @@ model-index:
       revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
     metrics:
     - type: accuracy
-      value: 46.735
+      value: 52.06000000000001
     - type: f1
-      value: 42.30853263256299
+      value: 47.21494728335567
   - task:
       type: Retrieval
     dataset:
@@ -1274,65 +1274,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 54.54
+      value: 56.798
     - type: map_at_10
-      value: 65.24600000000001
+      value: 67.644
     - type: map_at_100
-      value: 65.69
+      value: 68.01700000000001
     - type: map_at_1000
-      value: 65.71000000000001
+      value: 68.038
     - type: map_at_3
-      value: 63.234
+      value: 65.539
     - type: map_at_5
-      value: 64.455
+      value: 66.912
     - type: mrr_at_1
-      value: 58.821
+      value: 61.221000000000004
     - type: mrr_at_10
-      value: 69.616
+      value: 71.97099999999999
     - type: mrr_at_100
-      value: 69.98
+      value: 72.262
     - type: mrr_at_1000
-      value: 69.992
+      value: 72.27
     - type: mrr_at_3
-      value: 67.782
+      value: 70.052
     - type: mrr_at_5
-      value: 68.917
+      value: 71.324
     - type: ndcg_at_1
-      value: 58.821
+      value: 61.221000000000004
     - type: ndcg_at_10
-      value: 70.798
+      value: 73.173
     - type: ndcg_at_100
-      value: 72.719
+      value: 74.779
     - type: ndcg_at_1000
-      value: 73.19600000000001
+      value: 75.229
     - type: ndcg_at_3
-      value: 67.037
+      value: 69.291
     - type: ndcg_at_5
-      value: 69.048
+      value: 71.552
     - type: precision_at_1
-      value: 58.821
+      value: 61.221000000000004
     - type: precision_at_10
-      value: 9.182
+      value: 9.449
     - type: precision_at_100
-      value: 1.024
+      value: 1.0370000000000001
     - type: precision_at_1000
-      value: 0.108
+      value: 0.109
     - type: precision_at_3
-      value: 26.662999999999997
+      value: 27.467999999999996
     - type: precision_at_5
-      value: 17.159
+      value: 17.744
     - type: recall_at_1
-      value: 54.54
+      value: 56.798
     - type: recall_at_10
-      value: 83.67999999999999
+      value: 85.991
     - type: recall_at_100
-      value: 92.099
+      value: 92.973
     - type: recall_at_1000
-      value: 95.532
+      value: 96.089
     - type: recall_at_3
-      value: 73.478
+      value: 75.576
     - type: recall_at_5
-      value: 78.424
+      value: 81.12
   - task:
       type: Retrieval
     dataset:
@@ -1343,65 +1343,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 17.601
+      value: 18.323
     - type: map_at_10
-      value: 28.676000000000002
+      value: 30.279
     - type: map_at_100
-      value: 30.463
+      value: 32.153999999999996
     - type: map_at_1000
-      value: 30.666
+      value: 32.339
     - type: map_at_3
-      value: 24.734
+      value: 26.336
     - type: map_at_5
-      value: 27.026
+      value: 28.311999999999998
     - type: mrr_at_1
-      value: 34.259
+      value: 35.339999999999996
     - type: mrr_at_10
-      value: 43.613
+      value: 44.931
     - type: mrr_at_100
-      value: 44.535000000000004
+      value: 45.818999999999996
     - type: mrr_at_1000
-      value: 44.583
+      value: 45.864
     - type: mrr_at_3
-      value: 41.307
+      value: 42.618
     - type: mrr_at_5
-      value: 42.626
+      value: 43.736999999999995
     - type: ndcg_at_1
-      value: 34.259
+      value: 35.339999999999996
     - type: ndcg_at_10
-      value: 36.097
+      value: 37.852999999999994
     - type: ndcg_at_100
-      value: 43.039
+      value: 44.888
     - type: ndcg_at_1000
-      value: 46.498
+      value: 48.069
     - type: ndcg_at_3
-      value: 32.244
+      value: 34.127
     - type: ndcg_at_5
-      value: 33.711999999999996
+      value: 35.026
     - type: precision_at_1
-      value: 34.259
+      value: 35.339999999999996
     - type: precision_at_10
-      value: 10.030999999999999
+      value: 10.617
     - type: precision_at_100
-      value: 1.7239999999999998
+      value: 1.7930000000000001
     - type: precision_at_1000
-      value: 0.234
+      value: 0.23600000000000002
     - type: precision_at_3
-      value: 21.193
+      value: 22.582
     - type: precision_at_5
-      value: 15.956999999999999
+      value: 16.605
     - type: recall_at_1
-      value: 17.601
+      value: 18.323
     - type: recall_at_10
-      value: 42.807
+      value: 44.948
     - type: recall_at_100
-      value: 68.571
+      value: 71.11800000000001
     - type: recall_at_1000
-      value: 89.237
+      value: 90.104
     - type: recall_at_3
-      value: 29.301
+      value: 31.661
     - type: recall_at_5
-      value: 35.528999999999996
+      value: 36.498000000000005
   - task:
       type: Retrieval
     dataset:
@@ -1412,65 +1412,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 31.182
+      value: 30.668
     - type: map_at_10
-      value: 42.631
+      value: 43.669999999999995
     - type: map_at_100
-      value: 43.577
+      value: 44.646
     - type: map_at_1000
-      value: 43.661
+      value: 44.731
     - type: map_at_3
-      value: 40.06
+      value: 40.897
     - type: map_at_5
-      value: 41.591
+      value: 42.559999999999995
     - type: mrr_at_1
-      value: 62.363
+      value: 61.336999999999996
     - type: mrr_at_10
-      value: 69.047
+      value: 68.496
     - type: mrr_at_100
-      value: 69.46
+      value: 68.916
     - type: mrr_at_1000
-      value: 69.48100000000001
+      value: 68.938
     - type: mrr_at_3
-      value: 67.574
+      value: 66.90700000000001
     - type: mrr_at_5
-      value: 68.487
+      value: 67.91199999999999
     - type: ndcg_at_1
-      value: 62.363
+      value: 61.336999999999996
     - type: ndcg_at_10
-      value: 51.629999999999995
+      value: 52.588
     - type: ndcg_at_100
-      value: 55.301
+      value: 56.389
     - type: ndcg_at_1000
-      value: 57.071000000000005
+      value: 58.187999999999995
     - type: ndcg_at_3
-      value: 47.496
+      value: 48.109
     - type: ndcg_at_5
-      value: 49.687
+      value: 50.498
     - type: precision_at_1
-      value: 62.363
+      value: 61.336999999999996
     - type: precision_at_10
-      value: 10.628
+      value: 11.033
     - type: precision_at_100
-      value: 1.352
+      value: 1.403
     - type: precision_at_1000
-      value: 0.159
+      value: 0.164
     - type: precision_at_3
-      value: 29.296
+      value: 30.105999999999998
     - type: precision_at_5
-      value: 19.309
+      value: 19.954
     - type: recall_at_1
-      value: 31.182
+      value: 30.668
     - type: recall_at_10
-      value: 53.14
+      value: 55.165
     - type: recall_at_100
-      value: 67.596
+      value: 70.169
     - type: recall_at_1000
-      value: 79.372
+      value: 82.12
     - type: recall_at_3
-      value: 43.943
+      value: 45.159
     - type: recall_at_5
-      value: 48.271
+      value: 49.885000000000005
   - task:
       type: Classification
     dataset:
@@ -1481,11 +1481,11 @@ model-index:
       revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
     metrics:
     - type: accuracy
-      value: 71.55319999999999
+      value: 78.542
     - type: ap
-      value: 65.44170899953346
+      value: 72.50692137216646
     - type: f1
-      value: 71.33420141354401
+      value: 78.40630687221642
   - task:
       type: Retrieval
     dataset:
@@ -1496,65 +1496,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 18.89
+      value: 18.613
     - type: map_at_10
-      value: 30.076999999999998
+      value: 29.98
     - type: map_at_100
-      value: 31.281
+      value: 31.136999999999997
     - type: map_at_1000
-      value: 31.341
+      value: 31.196
     - type: map_at_3
-      value: 26.391
+      value: 26.339000000000002
     - type: map_at_5
-      value: 28.557
+      value: 28.351
     - type: mrr_at_1
-      value: 19.312
+      value: 19.054
     - type: mrr_at_10
-      value: 30.566
+      value: 30.476
     - type: mrr_at_100
-      value: 31.728
+      value: 31.588
     - type: mrr_at_1000
-      value: 31.781
+      value: 31.641000000000002
     - type: mrr_at_3
-      value: 26.901000000000003
+      value: 26.834000000000003
     - type: mrr_at_5
-      value: 29.072
+      value: 28.849000000000004
     - type: ndcg_at_1
-      value: 19.326999999999998
+      value: 19.083
     - type: ndcg_at_10
-      value: 36.516999999999996
+      value: 36.541000000000004
     - type: ndcg_at_100
-      value: 42.458
+      value: 42.35
     - type: ndcg_at_1000
-      value: 43.99
+      value: 43.9
     - type: ndcg_at_3
-      value: 29.005
+      value: 29.015
     - type: ndcg_at_5
-      value: 32.889
+      value: 32.622
     - type: precision_at_1
-      value: 19.326999999999998
+      value: 19.083
     - type: precision_at_10
-      value: 5.868
+      value: 5.914
     - type: precision_at_100
-      value: 0.8880000000000001
+      value: 0.889
     - type: precision_at_1000
       value: 0.10200000000000001
     - type: precision_at_3
-      value: 12.388
+      value: 12.483
     - type: precision_at_5
-      value: 9.401
+      value: 9.315
     - type: recall_at_1
-      value: 18.89
+      value: 18.613
     - type: recall_at_10
-      value: 56.442
+      value: 56.88999999999999
     - type: recall_at_100
-      value: 84.16
+      value: 84.207
     - type: recall_at_1000
-      value: 95.97099999999999
+      value: 96.20100000000001
     - type: recall_at_3
-      value: 36.077999999999996
+      value: 36.262
     - type: recall_at_5
-      value: 45.395
+      value: 44.925
   - task:
       type: Classification
     dataset:
@@ -1565,9 +1565,9 @@ model-index:
       revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
     metrics:
     - type: accuracy
-      value: 93.69585043319653
+      value: 94.77656178750571
     - type: f1
-      value: 93.27706251110098
+      value: 94.37966073742972
   - task:
       type: Classification
     dataset:
@@ -1578,9 +1578,9 @@ model-index:
       revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
     metrics:
     - type: accuracy
-      value: 74.62836297309622
+      value: 77.72457820337438
     - type: f1
-      value: 56.21163652384411
+      value: 59.11327646329634
   - task:
       type: Classification
     dataset:
@@ -1591,9 +1591,9 @@ model-index:
       revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
     metrics:
     - type: accuracy
-      value: 71.37861466039006
+      value: 73.17753866846
     - type: f1
-      value: 69.85338860172736
+      value: 71.22604635414544
   - task:
       type: Classification
     dataset:
@@ -1604,9 +1604,9 @@ model-index:
       revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
-      value: 75.58170813718897
+      value: 76.67787491593813
     - type: f1
-      value: 75.77358464349743
+      value: 76.87653151298177
   - task:
       type: Clustering
     dataset:
@@ -1617,7 +1617,7 @@ model-index:
       revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
     metrics:
     - type: v_measure
-      value: 33.29659845527655
+      value: 33.3485843514749
   - task:
       type: Clustering
     dataset:
@@ -1628,7 +1628,7 @@ model-index:
       revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
     metrics:
     - type: v_measure
-      value: 29.97507851301835
+      value: 29.792796913883617
   - task:
       type: Reranking
     dataset:
@@ -1639,9 +1639,9 @@ model-index:
       revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
     metrics:
     - type: map
-      value: 31.158968289313076
+      value: 31.310305659169963
     - type: mrr
-      value: 32.27027446726339
+      value: 32.38286775798406
   - task:
       type: Retrieval
     dataset:
@@ -1652,65 +1652,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 5.021
+      value: 4.968
     - type: map_at_10
-      value: 11.346
+      value: 11.379
     - type: map_at_100
-      value: 14.457
+      value: 14.618999999999998
     - type: map_at_1000
-      value: 15.875
+      value: 16.055
     - type: map_at_3
-      value: 8.376999999999999
+      value: 8.34
     - type: map_at_5
-      value: 9.793000000000001
+      value: 9.690999999999999
     - type: mrr_at_1
-      value: 43.344
+      value: 43.034
     - type: mrr_at_10
-      value: 51.266
+      value: 51.019999999999996
     - type: mrr_at_100
-      value: 51.871
+      value: 51.63100000000001
     - type: mrr_at_1000
-      value: 51.915
+      value: 51.681
     - type: mrr_at_3
       value: 49.174
     - type: mrr_at_5
-      value: 50.475
+      value: 50.181
     - type: ndcg_at_1
-      value: 41.331
+      value: 41.176
     - type: ndcg_at_10
-      value: 31.257
+      value: 31.341
     - type: ndcg_at_100
-      value: 29.264000000000003
+      value: 29.451
     - type: ndcg_at_1000
-      value: 38.024
+      value: 38.007000000000005
     - type: ndcg_at_3
-      value: 36.643
+      value: 36.494
     - type: ndcg_at_5
-      value: 34.808
+      value: 34.499
     - type: precision_at_1
       value: 43.034
     - type: precision_at_10
-      value: 22.972
+      value: 23.375
     - type: precision_at_100
-      value: 7.576
+      value: 7.799
     - type: precision_at_1000
-      value: 2.0629999999999997
+      value: 2.059
     - type: precision_at_3
-      value: 34.572
+      value: 34.675
     - type: precision_at_5
-      value: 30.341
+      value: 30.154999999999998
     - type: recall_at_1
-      value: 5.021
+      value: 4.968
     - type: recall_at_10
-      value: 15.197
+      value: 15.104999999999999
     - type: recall_at_100
-      value: 30.874000000000002
+      value: 30.741000000000003
     - type: recall_at_1000
-      value: 61.934
+      value: 61.182
     - type: recall_at_3
-      value: 9.467
+      value: 9.338000000000001
     - type: recall_at_5
-      value: 11.904
+      value: 11.484
   - task:
       type: Retrieval
     dataset:
@@ -1721,65 +1721,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 24.468999999999998
+      value: 23.716
     - type: map_at_10
-      value: 38.885999999999996
+      value: 38.32
     - type: map_at_100
-      value: 40.154
+      value: 39.565
     - type: map_at_1000
-      value: 40.195
+      value: 39.602
     - type: map_at_3
-      value: 34.565
+      value: 33.848
     - type: map_at_5
-      value: 37.069
+      value: 36.471
     - type: mrr_at_1
-      value: 27.578000000000003
+      value: 26.912000000000003
     - type: mrr_at_10
-      value: 41.079
+      value: 40.607
     - type: mrr_at_100
-      value: 42.081
+      value: 41.589
     - type: mrr_at_1000
-      value: 42.109
+      value: 41.614000000000004
     - type: mrr_at_3
-      value: 37.278
+      value: 36.684
     - type: mrr_at_5
-      value: 39.585
+      value: 39.036
     - type: ndcg_at_1
-      value: 27.549
+      value: 26.883000000000003
     - type: ndcg_at_10
-      value: 46.506
+      value: 46.096
     - type: ndcg_at_100
-      value: 51.92400000000001
+      value: 51.513
     - type: ndcg_at_1000
-      value: 52.833
+      value: 52.366
     - type: ndcg_at_3
-      value: 38.214999999999996
+      value: 37.549
     - type: ndcg_at_5
-      value: 42.498000000000005
+      value: 41.971000000000004
     - type: precision_at_1
-      value: 27.549
+      value: 26.883000000000003
     - type: precision_at_10
-      value: 8.019
+      value: 8.004
     - type: precision_at_100
-      value: 1.103
+      value: 1.107
     - type: precision_at_1000
       value: 0.11900000000000001
     - type: precision_at_3
-      value: 17.806
+      value: 17.516000000000002
     - type: precision_at_5
-      value: 13.100000000000001
+      value: 13.019
     - type: recall_at_1
-      value: 24.468999999999998
+      value: 23.716
     - type: recall_at_10
-      value: 67.632
+      value: 67.656
     - type: recall_at_100
-      value: 91.169
+      value: 91.413
     - type: recall_at_1000
-      value: 97.851
+      value: 97.714
     - type: recall_at_3
-      value: 46.043
+      value: 45.449
     - type: recall_at_5
-      value: 55.962999999999994
+      value: 55.598000000000006
   - task:
       type: Retrieval
     dataset:
@@ -1790,65 +1790,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 70.44
+      value: 70.486
     - type: map_at_10
-      value: 84.209
+      value: 84.292
     - type: map_at_100
-      value: 84.868
+      value: 84.954
     - type: map_at_1000
-      value: 84.884
+      value: 84.969
     - type: map_at_3
-      value: 81.192
+      value: 81.295
     - type: map_at_5
-      value: 83.06099999999999
+      value: 83.165
     - type: mrr_at_1
-      value: 81.12
+      value: 81.16
     - type: mrr_at_10
-      value: 87.30499999999999
+      value: 87.31
     - type: mrr_at_100
-      value: 87.413
+      value: 87.423
     - type: mrr_at_1000
-      value: 87.414
+      value: 87.423
     - type: mrr_at_3
-      value: 86.337
+      value: 86.348
     - type: mrr_at_5
-      value: 86.985
+      value: 86.991
     - type: ndcg_at_1
-      value: 81.15
+      value: 81.17
     - type: ndcg_at_10
-      value: 88.032
+      value: 88.067
     - type: ndcg_at_100
-      value: 89.292
+      value: 89.34
     - type: ndcg_at_1000
-      value: 89.393
+      value: 89.43900000000001
     - type: ndcg_at_3
-      value: 85.098
+      value: 85.162
     - type: ndcg_at_5
-      value: 86.691
+      value: 86.752
     - type: precision_at_1
-      value: 81.15
+      value: 81.17
     - type: precision_at_10
-      value: 13.395999999999999
+      value: 13.394
     - type: precision_at_100
       value: 1.5310000000000001
     - type: precision_at_1000
       value: 0.157
     - type: precision_at_3
-      value: 37.16
+      value: 37.193
     - type: precision_at_5
-      value: 24.458
+      value: 24.482
     - type: recall_at_1
-      value: 70.44
+      value: 70.486
     - type: recall_at_10
-      value: 95.204
+      value: 95.184
     - type: recall_at_100
-      value: 99.506
+      value: 99.53999999999999
     - type: recall_at_1000
-      value: 99.978
+      value: 99.98700000000001
     - type: recall_at_3
-      value: 86.83999999999999
+      value: 86.89
     - type: recall_at_5
-      value: 91.328
+      value: 91.365
   - task:
       type: Clustering
     dataset:
@@ -1859,7 +1859,7 @@ model-index:
       revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
     metrics:
     - type: v_measure
-      value: 44.091918771223966
+      value: 44.118229475102154
   - task:
       type: Clustering
     dataset:
@@ -1870,7 +1870,7 @@ model-index:
       revision: 282350215ef01743dc01b456c7f5241fa8937f16
     metrics:
     - type: v_measure
-      value: 49.3850718319815
+      value: 48.68049097629063
   - task:
       type: Retrieval
     dataset:
@@ -1881,65 +1881,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 5.108
+      value: 4.888
     - type: map_at_10
-      value: 12.878
+      value: 12.770999999999999
     - type: map_at_100
-      value: 15.398
+      value: 15.238
     - type: map_at_1000
-      value: 15.762
+      value: 15.616
     - type: map_at_3
-      value: 9.028
+      value: 8.952
     - type: map_at_5
-      value: 10.886
+      value: 10.639999999999999
     - type: mrr_at_1
-      value: 25.2
+      value: 24.099999999999998
     - type: mrr_at_10
-      value: 36.051
+      value: 35.375
     - type: mrr_at_100
-      value: 37.198
+      value: 36.442
     - type: mrr_at_1000
-      value: 37.254
+      value: 36.488
     - type: mrr_at_3
-      value: 32.483000000000004
+      value: 31.717000000000002
     - type: mrr_at_5
-      value: 34.583000000000006
+      value: 33.722
     - type: ndcg_at_1
-      value: 25.2
+      value: 24.099999999999998
     - type: ndcg_at_10
-      value: 21.436
+      value: 21.438
     - type: ndcg_at_100
-      value: 30.758000000000003
+      value: 30.601
     - type: ndcg_at_1000
-      value: 36.774
+      value: 36.678
     - type: ndcg_at_3
-      value: 19.977
+      value: 19.861
     - type: ndcg_at_5
-      value: 17.634
+      value: 17.263
     - type: precision_at_1
-      value: 25.2
+      value: 24.099999999999998
     - type: precision_at_10
-      value: 11.16
+      value: 11.4
     - type: precision_at_100
-      value: 2.46
+      value: 2.465
     - type: precision_at_1000
-      value: 0.38999999999999996
+      value: 0.392
     - type: precision_at_3
-      value: 18.4
+      value: 18.733
     - type: precision_at_5
-      value: 15.440000000000001
+      value: 15.22
     - type: recall_at_1
-      value: 5.108
+      value: 4.888
     - type: recall_at_10
-      value: 22.615
+      value: 23.118
     - type: recall_at_100
-      value: 49.838
+      value: 49.995
     - type: recall_at_1000
-      value: 79.12700000000001
+      value: 79.577
     - type: recall_at_3
-      value: 11.203000000000001
+      value: 11.398
     - type: recall_at_5
-      value: 15.638
+      value: 15.428
   - task:
       type: STS
     dataset:
@@ -1950,17 +1950,17 @@ model-index:
       revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
     metrics:
     - type: cos_sim_pearson
-      value: 84.87907802108278
+      value: 85.33198632617024
     - type: cos_sim_spearman
-      value: 78.47745630820519
+      value: 79.09232997136625
     - type: euclidean_pearson
-      value: 81.24598854050433
+      value: 81.49986011523868
     - type: euclidean_spearman
-      value: 76.49536405466311
+      value: 77.03530620283338
     - type: manhattan_pearson
-      value: 81.2143517198192
+      value: 81.4741227286667
     - type: manhattan_spearman
-      value: 76.41735187637899
+      value: 76.98641133116311
   - task:
       type: STS
     dataset:
@@ -1971,17 +1971,17 @@ model-index:
       revision: a0d554a64d88156834ff5ae9920b964011b16384
     metrics:
     - type: cos_sim_pearson
-      value: 84.72222146895906
+      value: 84.60103674582464
     - type: cos_sim_spearman
-      value: 75.78345138703104
+      value: 75.03945035801914
     - type: euclidean_pearson
-      value: 81.35072741369821
+      value: 80.82455267481467
     - type: euclidean_spearman
-      value: 71.44372390021385
+      value: 70.3317366248871
     - type: manhattan_pearson
-      value: 81.42777992212991
+      value: 80.8928091531445
     - type: manhattan_spearman
-      value: 71.50748732911025
+      value: 70.43207370945672
   - task:
       type: STS
     dataset:
@@ -1992,17 +1992,17 @@ model-index:
       revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
     metrics:
     - type: cos_sim_pearson
-      value: 82.46314178714782
+      value: 82.52453177109315
     - type: cos_sim_spearman
-      value: 83.30487501773337
+      value: 83.26431569305103
     - type: euclidean_pearson
-      value: 81.97496753880277
+      value: 82.10494657997404
     - type: euclidean_spearman
-      value: 83.26569157819903
+      value: 83.41028425949024
     - type: manhattan_pearson
-      value: 81.95087299528338
+      value: 82.08669822983934
     - type: manhattan_spearman
-      value: 83.25657383286989
+      value: 83.39959776442115
   - task:
       type: STS
     dataset:
@@ -2013,17 +2013,17 @@ model-index:
       revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
     metrics:
     - type: cos_sim_pearson
-      value: 82.38192118423038
+      value: 82.67472020277681
     - type: cos_sim_spearman
-      value: 78.40410104736917
+      value: 78.61877889763109
     - type: euclidean_pearson
-      value: 79.48941144435967
+      value: 80.07878012437722
     - type: euclidean_spearman
-      value: 76.87243228899331
+      value: 77.44374494215397
     - type: manhattan_pearson
-      value: 79.37383745954276
+      value: 79.95988483102258
     - type: manhattan_spearman
-      value: 76.81624170740595
+      value: 77.36018101061366
   - task:
       type: STS
     dataset:
@@ -2034,17 +2034,17 @@ model-index:
       revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
     metrics:
     - type: cos_sim_pearson
-      value: 84.89499997364136
+      value: 85.55450610494437
     - type: cos_sim_spearman
-      value: 86.49722400765071
+      value: 87.03494331841401
     - type: euclidean_pearson
-      value: 80.83327622391033
+      value: 81.4319784394287
     - type: euclidean_spearman
-      value: 81.77906221038033
+      value: 82.47893040599372
     - type: manhattan_pearson
-      value: 80.68927444298423
+      value: 81.32627203699644
     - type: manhattan_spearman
-      value: 81.67585996918764
+      value: 82.40660565070675
   - task:
       type: STS
     dataset:
@@ -2055,17 +2055,17 @@ model-index:
       revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
     metrics:
     - type: cos_sim_pearson
-      value: 80.85434430333662
+      value: 81.51576965454805
     - type: cos_sim_spearman
-      value: 82.32641704038703
+      value: 83.0062959588245
     - type: euclidean_pearson
-      value: 78.92319495883405
+      value: 79.98888882568556
     - type: euclidean_spearman
-      value: 80.06748121443441
+      value: 81.08948911791873
     - type: manhattan_pearson
-      value: 78.68188267117745
+      value: 79.77952719568583
     - type: manhattan_spearman
-      value: 79.72019793896195
+      value: 80.79471040445408
   - task:
       type: STS
     dataset:
@@ -2076,17 +2076,17 @@ model-index:
       revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
     metrics:
     - type: cos_sim_pearson
-      value: 87.0896689258414
+      value: 87.28313046682885
     - type: cos_sim_spearman
-      value: 87.31114069713735
+      value: 87.35865211085007
     - type: euclidean_pearson
-      value: 83.93671908621272
+      value: 84.11501613667811
     - type: euclidean_spearman
-      value: 82.83918654090873
+      value: 82.82038954956121
     - type: manhattan_pearson
-      value: 83.5943550673816
+      value: 83.891278147302
     - type: manhattan_spearman
-      value: 82.47327946394148
+      value: 82.59947685165902
   - task:
       type: STS
     dataset:
@@ -2097,17 +2097,17 @@ model-index:
       revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
     metrics:
     - type: cos_sim_pearson
-      value: 66.4799391480602
+      value: 67.80653738006102
     - type: cos_sim_spearman
-      value: 66.59141182659532
+      value: 68.11259151179601
     - type: euclidean_pearson
-      value: 45.85714541149068
+      value: 43.16707985094242
     - type: euclidean_spearman
-      value: 61.605252732946404
+      value: 58.96200382968696
     - type: manhattan_pearson
-      value: 46.69415667711241
+      value: 43.84146858566507
     - type: manhattan_spearman
-      value: 61.38490967409539
+      value: 59.05193977207514
   - task:
       type: STS
     dataset:
@@ -2118,17 +2118,17 @@ model-index:
       revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
     metrics:
     - type: cos_sim_pearson
-      value: 82.22064334651283
+      value: 82.62068205073571
     - type: cos_sim_spearman
-      value: 84.23556405551305
+      value: 84.40071593577095
     - type: euclidean_pearson
-      value: 80.64484589022672
+      value: 80.90824726252514
     - type: euclidean_spearman
-      value: 80.27585966983669
+      value: 80.54974812534094
     - type: manhattan_pearson
-      value: 80.44248540454653
+      value: 80.6759008187939
     - type: manhattan_spearman
-      value: 80.06071452831723
+      value: 80.31149103896973
   - task:
       type: Reranking
     dataset:
@@ -2139,9 +2139,9 @@ model-index:
       revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
     metrics:
     - type: map
-      value: 86.82632940766443
+      value: 87.13774787530915
     - type: mrr
-      value: 96.27367186190715
+      value: 96.22233793802422
   - task:
       type: Retrieval
     dataset:
@@ -2152,65 +2152,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 48.443999999999996
+      value: 49.167
     - type: map_at_10
-      value: 58.309
+      value: 59.852000000000004
     - type: map_at_100
-      value: 59.116
+      value: 60.544
     - type: map_at_1000
-      value: 59.155
+      value: 60.577000000000005
     - type: map_at_3
-      value: 55.598000000000006
+      value: 57.242000000000004
     - type: map_at_5
-      value: 57.550999999999995
+      value: 58.704
     - type: mrr_at_1
-      value: 50.666999999999994
+      value: 51.0
     - type: mrr_at_10
-      value: 59.099000000000004
+      value: 60.575
     - type: mrr_at_100
-      value: 59.843
+      value: 61.144
     - type: mrr_at_1000
-      value: 59.879000000000005
+      value: 61.175000000000004
     - type: mrr_at_3
-      value: 57.167
+      value: 58.667
     - type: mrr_at_5
-      value: 58.5
+      value: 59.599999999999994
     - type: ndcg_at_1
-      value: 50.666999999999994
+      value: 51.0
     - type: ndcg_at_10
-      value: 62.483999999999995
+      value: 64.398
     - type: ndcg_at_100
-      value: 66.131
+      value: 67.581
     - type: ndcg_at_1000
-      value: 67.17
+      value: 68.551
     - type: ndcg_at_3
-      value: 58.07299999999999
+      value: 59.928000000000004
     - type: ndcg_at_5
-      value: 60.87200000000001
+      value: 61.986
     - type: precision_at_1
-      value: 50.666999999999994
+      value: 51.0
     - type: precision_at_10
-      value: 8.4
+      value: 8.7
     - type: precision_at_100
-      value: 1.0330000000000001
+      value: 1.047
     - type: precision_at_1000
-      value: 0.11199999999999999
+      value: 0.11299999999999999
     - type: precision_at_3
-      value: 22.889
+      value: 23.666999999999998
     - type: precision_at_5
-      value: 15.467
+      value: 15.6
     - type: recall_at_1
-      value: 48.443999999999996
+      value: 49.167
     - type: recall_at_10
-      value: 74.26700000000001
+      value: 77.333
     - type: recall_at_100
-      value: 90.5
+      value: 91.833
     - type: recall_at_1000
-      value: 98.667
+      value: 99.667
     - type: recall_at_3
-      value: 63.039
+      value: 65.594
     - type: recall_at_5
-      value: 69.706
+      value: 70.52199999999999
   - task:
       type: PairClassification
     dataset:
@@ -2221,51 +2221,51 @@ model-index:
       revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
     metrics:
     - type: cos_sim_accuracy
-      value: 99.76336633663367
+      value: 99.77227722772277
     - type: cos_sim_ap
-      value: 94.05677361006421
+      value: 94.14261011689366
     - type: cos_sim_f1
-      value: 87.85894206549118
+      value: 88.37209302325581
     - type: cos_sim_precision
-      value: 88.52791878172589
+      value: 89.36605316973414
     - type: cos_sim_recall
-      value: 87.2
+      value: 87.4
     - type: dot_accuracy
-      value: 99.06732673267327
+      value: 99.07128712871287
     - type: dot_ap
-      value: 25.234902506145275
+      value: 27.325649239129486
     - type: dot_f1
-      value: 31.687715269804816
+      value: 33.295838020247466
     - type: dot_precision
-      value: 37.19676549865229
+      value: 38.04627249357326
     - type: dot_recall
-      value: 27.6
+      value: 29.599999999999998
     - type: euclidean_accuracy
-      value: 99.73861386138614
+      value: 99.74158415841585
     - type: euclidean_ap
-      value: 92.39504711224613
+      value: 92.32695359979576
     - type: euclidean_f1
-      value: 86.40576725025747
+      value: 86.90534575772439
     - type: euclidean_precision
-      value: 89.06581740976645
+      value: 85.27430221366699
     - type: euclidean_recall
-      value: 83.89999999999999
+      value: 88.6
     - type: manhattan_accuracy
-      value: 99.74455445544554
+      value: 99.74257425742574
     - type: manhattan_ap
-      value: 92.5050066340186
+      value: 92.40335687760499
     - type: manhattan_f1
-      value: 86.67355371900827
+      value: 86.96507624200687
     - type: manhattan_precision
-      value: 89.63675213675214
+      value: 85.57599225556632
     - type: manhattan_recall
-      value: 83.89999999999999
+      value: 88.4
     - type: max_accuracy
-      value: 99.76336633663367
+      value: 99.77227722772277
     - type: max_ap
-      value: 94.05677361006421
+      value: 94.14261011689366
     - type: max_f1
-      value: 87.85894206549118
+      value: 88.37209302325581
   - task:
       type: Clustering
     dataset:
@@ -2276,7 +2276,7 @@ model-index:
       revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
     metrics:
     - type: v_measure
-      value: 52.66315650755836
+      value: 53.113809982945035
   - task:
       type: Clustering
     dataset:
@@ -2287,7 +2287,7 @@ model-index:
       revision: 815ca46b2622cec33ccafc3735d572c266efdb44
     metrics:
     - type: v_measure
-      value: 32.36019149648443
+      value: 33.90915908471812
   - task:
       type: Reranking
     dataset:
@@ -2298,9 +2298,9 @@ model-index:
       revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
     metrics:
     - type: map
-      value: 50.10933600138655
+      value: 50.36481271702464
     - type: mrr
-      value: 50.84273671589848
+      value: 51.05628236142942
   - task:
       type: Summarization
     dataset:
@@ -2311,13 +2311,13 @@ model-index:
       revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
     metrics:
     - type: cos_sim_pearson
-      value: 30.342194052503917
+      value: 30.311305530381826
     - type: cos_sim_spearman
-      value: 30.74326118928312
+      value: 31.22029657606254
     - type: dot_pearson
-      value: 12.329727800033176
+      value: 12.157032445910177
     - type: dot_spearman
-      value: 14.54557726626662
+      value: 13.275185888551805
   - task:
       type: Retrieval
     dataset:
@@ -2328,65 +2328,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 0.173
+      value: 0.167
     - type: map_at_10
-      value: 1.1320000000000001
+      value: 1.113
     - type: map_at_100
-      value: 5.885
+      value: 5.926
     - type: map_at_1000
-      value: 14.762
+      value: 15.25
     - type: map_at_3
-      value: 0.443
+      value: 0.414
     - type: map_at_5
-      value: 0.66
+      value: 0.633
     - type: mrr_at_1
-      value: 66.0
+      value: 64.0
     - type: mrr_at_10
-      value: 76.34100000000001
+      value: 74.444
     - type: mrr_at_100
-      value: 76.37
+      value: 74.667
     - type: mrr_at_1000
-      value: 76.376
+      value: 74.679
     - type: mrr_at_3
-      value: 74.667
+      value: 72.0
     - type: mrr_at_5
-      value: 74.667
+      value: 74.0
     - type: ndcg_at_1
       value: 59.0
     - type: ndcg_at_10
-      value: 50.047
+      value: 51.468
     - type: ndcg_at_100
-      value: 37.744
+      value: 38.135000000000005
     - type: ndcg_at_1000
-      value: 35.903
+      value: 36.946
     - type: ndcg_at_3
-      value: 55.95
+      value: 55.827000000000005
     - type: ndcg_at_5
-      value: 53.379
+      value: 53.555
     - type: precision_at_1
-      value: 66.0
+      value: 64.0
     - type: precision_at_10
-      value: 53.0
+      value: 54.400000000000006
     - type: precision_at_100
-      value: 38.78
+      value: 39.08
     - type: precision_at_1000
-      value: 16.24
+      value: 16.618
     - type: precision_at_3
-      value: 60.0
+      value: 58.667
     - type: precision_at_5
-      value: 56.39999999999999
+      value: 56.8
     - type: recall_at_1
-      value: 0.173
+      value: 0.167
     - type: recall_at_10
-      value: 1.379
+      value: 1.38
     - type: recall_at_100
-      value: 9.196
+      value: 9.189
     - type: recall_at_1000
-      value: 34.488
+      value: 35.737
     - type: recall_at_3
-      value: 0.475
+      value: 0.455
     - type: recall_at_5
-      value: 0.738
+      value: 0.73
   - task:
       type: Retrieval
     dataset:
@@ -2397,65 +2397,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 2.1260000000000003
+      value: 2.4299999999999997
     - type: map_at_10
-      value: 7.216
+      value: 8.539
     - type: map_at_100
-      value: 12.732
+      value: 14.155999999999999
     - type: map_at_1000
-      value: 14.158999999999999
+      value: 15.684999999999999
     - type: map_at_3
-      value: 3.9530000000000003
+      value: 3.857
     - type: map_at_5
-      value: 5.252
+      value: 5.583
     - type: mrr_at_1
-      value: 24.490000000000002
+      value: 26.531
     - type: mrr_at_10
-      value: 36.949
+      value: 40.489999999999995
     - type: mrr_at_100
-      value: 38.0
+      value: 41.772999999999996
     - type: mrr_at_1000
-      value: 38.0
+      value: 41.772999999999996
     - type: mrr_at_3
-      value: 31.973000000000003
+      value: 35.034
     - type: mrr_at_5
-      value: 34.32
+      value: 38.81
     - type: ndcg_at_1
-      value: 19.387999999999998
+      value: 21.429000000000002
     - type: ndcg_at_10
-      value: 17.918
+      value: 20.787
     - type: ndcg_at_100
-      value: 30.558999999999997
+      value: 33.202
     - type: ndcg_at_1000
-      value: 42.028
+      value: 45.167
     - type: ndcg_at_3
-      value: 17.202
+      value: 18.233
     - type: ndcg_at_5
-      value: 17.788
+      value: 19.887
     - type: precision_at_1
-      value: 24.490000000000002
+      value: 26.531
     - type: precision_at_10
-      value: 17.347
+      value: 19.796
     - type: precision_at_100
-      value: 6.918
+      value: 7.4079999999999995
     - type: precision_at_1000
-      value: 1.4569999999999999
+      value: 1.5310000000000001
     - type: precision_at_3
       value: 19.728
     - type: precision_at_5
-      value: 19.592000000000002
+      value: 21.633
     - type: recall_at_1
-      value: 2.1260000000000003
+      value: 2.4299999999999997
     - type: recall_at_10
-      value: 12.897
+      value: 14.901
     - type: recall_at_100
-      value: 42.632999999999996
+      value: 46.422000000000004
     - type: recall_at_1000
-      value: 77.783
+      value: 82.83500000000001
     - type: recall_at_3
-      value: 4.836
+      value: 4.655
     - type: recall_at_5
-      value: 7.331
+      value: 8.092
   - task:
       type: Classification
     dataset:
@@ -2466,11 +2466,11 @@ model-index:
       revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
     metrics:
     - type: accuracy
-      value: 70.9516
+      value: 72.90140000000001
     - type: ap
-      value: 14.148097836321893
+      value: 15.138716624430662
     - type: f1
-      value: 54.52189833022899
+      value: 56.08803013269606
   - task:
       type: Classification
     dataset:
@@ -2481,9 +2481,9 @@ model-index:
       revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
     metrics:
     - type: accuracy
-      value: 58.33899264289756
+      value: 59.85285795132994
     - type: f1
-      value: 58.684516042056565
+      value: 60.17575819903709
   - task:
       type: Clustering
     dataset:
@@ -2494,7 +2494,7 @@ model-index:
       revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
     metrics:
     - type: v_measure
-      value: 41.45569187892743
+      value: 41.125150148437065
   - task:
       type: PairClassification
     dataset:
@@ -2505,51 +2505,51 @@ model-index:
       revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
     metrics:
     - type: cos_sim_accuracy
-      value: 85.05692316862371
+      value: 84.96751505036657
     - type: cos_sim_ap
-      value: 70.54785019750204
+      value: 70.45642872444971
     - type: cos_sim_f1
-      value: 65.99060103883255
+      value: 65.75274793133259
     - type: cos_sim_precision
-      value: 62.10428305400373
+      value: 61.806361736707686
     - type: cos_sim_recall
-      value: 70.3957783641161
+      value: 70.23746701846966
     - type: dot_accuracy
-      value: 77.82678667222984
+      value: 77.84466829588126
     - type: dot_ap
-      value: 32.73452779849359
+      value: 32.49904328313596
     - type: dot_f1
-      value: 38.1269911832259
+      value: 37.903122189387126
     - type: dot_precision
-      value: 26.5066446893994
+      value: 25.050951086956523
     - type: dot_recall
-      value: 67.8891820580475
+      value: 77.83641160949868
     - type: euclidean_accuracy
-      value: 84.62180365977231
+      value: 84.5920009536866
     - type: euclidean_ap
-      value: 68.57434108453688
+      value: 68.83700633574043
     - type: euclidean_f1
-      value: 65.23069391751316
+      value: 64.92803542871202
     - type: euclidean_precision
-      value: 60.83086053412463
+      value: 60.820465545056464
     - type: euclidean_recall
-      value: 70.31662269129288
+      value: 69.63060686015831
     - type: manhattan_accuracy
-      value: 84.57411933003517
+      value: 84.52643500029802
     - type: manhattan_ap
-      value: 68.3530821550187
+      value: 68.63286046599892
     - type: manhattan_f1
-      value: 64.74820143884892
+      value: 64.7476540705047
     - type: manhattan_precision
-      value: 61.09550561797753
+      value: 62.3291015625
     - type: manhattan_recall
-      value: 68.86543535620054
+      value: 67.36147757255937
     - type: max_accuracy
-      value: 85.05692316862371
+      value: 84.96751505036657
     - type: max_ap
-      value: 70.54785019750204
+      value: 70.45642872444971
     - type: max_f1
-      value: 65.99060103883255
+      value: 65.75274793133259
   - task:
       type: PairClassification
     dataset:
@@ -2560,51 +2560,51 @@ model-index:
       revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
     metrics:
     - type: cos_sim_accuracy
-      value: 88.77440136608841
+      value: 88.65603291031164
     - type: cos_sim_ap
-      value: 85.6224854550336
+      value: 85.58148320880878
     - type: cos_sim_f1
-      value: 77.76333865518139
+      value: 77.63202920041064
     - type: cos_sim_precision
-      value: 75.09501613481535
+      value: 76.68444377675957
     - type: cos_sim_recall
-      value: 80.6282722513089
+      value: 78.60332614721281
     - type: dot_accuracy
-      value: 79.73570846431483
+      value: 79.71048239996895
     - type: dot_ap
-      value: 59.509855217305315
+      value: 59.31114839296281
     - type: dot_f1
-      value: 57.20318336852364
+      value: 57.13895527483783
     - type: dot_precision
-      value: 49.474630555711634
+      value: 51.331125015335545
     - type: dot_recall
-      value: 67.79334770557438
+      value: 64.4287034185402
     - type: euclidean_accuracy
-      value: 87.06096945705748
+      value: 86.99305312997244
     - type: euclidean_ap
-      value: 81.65241378370953
+      value: 81.87075965254876
     - type: euclidean_f1
-      value: 73.29885784441386
+      value: 73.53543008715421
     - type: euclidean_precision
-      value: 70.91642070405298
+      value: 72.39964184450082
     - type: euclidean_recall
-      value: 75.8469356328919
+      value: 74.70742223591007
     - type: manhattan_accuracy
-      value: 86.973648465091
+      value: 87.04156479217605
     - type: manhattan_ap
-      value: 81.57560533116907
+      value: 81.7850497283247
     - type: manhattan_f1
-      value: 73.2408287397833
+      value: 73.52951955143475
     - type: manhattan_precision
-      value: 72.33611173687767
+      value: 70.15875236030492
     - type: manhattan_recall
-      value: 74.16846319679703
+      value: 77.2405297197413
     - type: max_accuracy
-      value: 88.77440136608841
+      value: 88.65603291031164
     - type: max_ap
-      value: 85.6224854550336
+      value: 85.58148320880878
     - type: max_f1
-      value: 77.76333865518139
+      value: 77.63202920041064
 ---
 <h1 align="center">GIST Embedding v0 - all-MiniLM-L6-v2</h1>
 

commit-info.json

@@ -1 +1 @@
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model.safetensors

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 size 90864192

sentence_bert_config.json

@@ -1,4 +1,4 @@
 {
-  "max_seq_length": 256,
+  "max_seq_length": 512,
   "do_lower_case": false
 }