update model and metric

README.md

@@ -19,17 +19,17 @@ model-index:
       revision: b44c3b011063adb25877c13823db83bb193913c4
     metrics:
     - type: cos_sim_pearson
-      value: 36.298796333105045
+      value: 36.28363608508365
     - type: cos_sim_spearman
-      value: 37.341572623120264
+      value: 37.39698005114737
     - type: euclidean_pearson
-      value: 36.64243583928722
+      value: 36.407377294778186
     - type: euclidean_spearman
-      value: 37.34155251464738
+      value: 37.396959945459166
     - type: manhattan_pearson
-      value: 36.619985504965335
+      value: 36.30818480805082
     - type: manhattan_spearman
-      value: 37.33234474856907
+      value: 37.28435580456356
   - task:
       type: STS
     dataset:
@@ -40,17 +40,17 @@ model-index:
       revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
     metrics:
     - type: cos_sim_pearson
-      value: 39.479909222662606
+      value: 39.918566602029536
     - type: cos_sim_spearman
-      value: 41.931326522020626
+      value: 42.163555979292155
     - type: euclidean_pearson
-      value: 42.96034449758286
+      value: 43.24429263158407
     - type: euclidean_spearman
-      value: 41.9313332762864
+      value: 42.16355485217486
     - type: manhattan_pearson
-      value: 42.91465081487226
+      value: 43.23108002349145
     - type: manhattan_spearman
-      value: 41.891856959411506
+      value: 42.156854810425834
   - task:
       type: Classification
     dataset:
@@ -61,9 +61,9 @@ model-index:
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
-      value: 47.553999999999995
+      value: 47.788000000000004
     - type: f1
-      value: 44.225487078758015
+      value: 44.518439064691925
   - task:
       type: STS
     dataset:
@@ -74,17 +74,17 @@ model-index:
       revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
     metrics:
     - type: cos_sim_pearson
-      value: 67.41540794294842
+      value: 67.03414409142314
     - type: cos_sim_spearman
-      value: 71.19680444103656
+      value: 70.95560250546684
     - type: euclidean_pearson
-      value: 69.59374493550702
+      value: 69.35644910492917
     - type: euclidean_spearman
-      value: 71.19680789937125
+      value: 70.95560250269956
     - type: manhattan_pearson
-      value: 69.57503405147493
+      value: 69.32201332479197
     - type: manhattan_spearman
-      value: 71.19417171802891
+      value: 70.92406185691
   - task:
       type: Clustering
     dataset:
@@ -95,7 +95,7 @@ model-index:
       revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
     metrics:
     - type: v_measure
-      value: 40.006865414718185
+      value: 39.31955168227449
   - task:
       type: Clustering
     dataset:
@@ -106,7 +106,7 @@ model-index:
       revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
     metrics:
     - type: v_measure
-      value: 38.199450302104204
+      value: 37.8418274237459
   - task:
       type: Reranking
     dataset:
@@ -117,9 +117,9 @@ model-index:
       revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
     metrics:
     - type: map
-      value: 74.51766322144272
+      value: 80.66118119519746
     - type: mrr
-      value: 78.04591269841269
+      value: 83.47972222222222
   - task:
       type: Reranking
     dataset:
@@ -130,9 +130,9 @@ model-index:
       revision: 23d186750531a14a0357ca22cd92d712fd512ea0
     metrics:
     - type: map
-      value: 75.6387269126998
+      value: 79.31430375371524
     - type: mrr
-      value: 79.5725
+      value: 82.10194444444444
   - task:
       type: Retrieval
     dataset:
@@ -143,65 +143,65 @@ model-index:
       revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
     metrics:
     - type: map_at_1
-      value: 16.788
+      value: 16.672
     - type: map_at_10
-      value: 25.224999999999998
+      value: 26.273000000000003
     - type: map_at_100
-      value: 26.862000000000002
+      value: 28.044999999999998
     - type: map_at_1000
-      value: 27.037
+      value: 28.208
     - type: map_at_3
-      value: 22.398
+      value: 22.989
     - type: map_at_5
-      value: 23.889
+      value: 24.737000000000002
     - type: mrr_at_1
-      value: 26.656999999999996
+      value: 26.257
     - type: mrr_at_10
-      value: 33.501999999999995
+      value: 34.358
     - type: mrr_at_100
-      value: 34.538999999999994
+      value: 35.436
     - type: mrr_at_1000
-      value: 34.626000000000005
+      value: 35.513
     - type: mrr_at_3
-      value: 31.374999999999996
+      value: 31.954
     - type: mrr_at_5
-      value: 32.535
+      value: 33.234
     - type: ndcg_at_1
-      value: 26.656999999999996
+      value: 26.257
     - type: ndcg_at_10
-      value: 30.675
+      value: 32.326
     - type: ndcg_at_100
-      value: 37.797
+      value: 39.959
     - type: ndcg_at_1000
-      value: 41.416
+      value: 43.163000000000004
     - type: ndcg_at_3
-      value: 26.827
+      value: 27.700999999999997
     - type: ndcg_at_5
-      value: 28.292
+      value: 29.514000000000003
     - type: precision_at_1
-      value: 26.656999999999996
+      value: 26.257
     - type: precision_at_10
-      value: 6.973999999999999
+      value: 7.607
     - type: precision_at_100
-      value: 1.286
+      value: 1.388
     - type: precision_at_1000
-      value: 0.174
+      value: 0.179
     - type: precision_at_3
-      value: 15.421000000000001
+      value: 16.162000000000003
     - type: precision_at_5
-      value: 11.133
+      value: 11.933
     - type: recall_at_1
-      value: 16.788
+      value: 16.672
     - type: recall_at_10
-      value: 38.746
+      value: 42.135
     - type: recall_at_100
-      value: 68.759
+      value: 74.417
     - type: recall_at_1000
-      value: 93.848
+      value: 96.417
     - type: recall_at_3
-      value: 26.807
+      value: 28.416999999999998
     - type: recall_at_5
-      value: 31.696999999999996
+      value: 33.873999999999995
   - task:
       type: PairClassification
     dataset:
@@ -212,51 +212,51 @@ model-index:
       revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
     metrics:
     - type: cos_sim_accuracy
-      value: 61.14251352976549
+      value: 61.11846061334937
     - type: cos_sim_ap
-      value: 66.0067234682187
+      value: 65.68356716139071
     - type: cos_sim_f1
-      value: 68.08438532576463
+      value: 68.15213842637937
     - type: cos_sim_precision
-      value: 53.38825405261759
+      value: 52.35109717868338
     - type: cos_sim_recall
-      value: 93.9443535188216
+      value: 97.61515080664017
     - type: dot_accuracy
-      value: 61.14251352976549
+      value: 61.11846061334937
     - type: dot_ap
-      value: 65.99885462184204
+      value: 65.68369552204702
     - type: dot_f1
-      value: 68.08438532576463
+      value: 68.15213842637937
     - type: dot_precision
-      value: 53.38825405261759
+      value: 52.35109717868338
     - type: dot_recall
-      value: 93.9443535188216
+      value: 97.61515080664017
     - type: euclidean_accuracy
-      value: 61.14251352976549
+      value: 61.11846061334937
     - type: euclidean_ap
-      value: 66.0068124858108
+      value: 65.68356789608616
     - type: euclidean_f1
-      value: 68.08438532576463
+      value: 68.15213842637937
     - type: euclidean_precision
-      value: 53.38825405261759
+      value: 52.35109717868338
     - type: euclidean_recall
-      value: 93.9443535188216
+      value: 97.61515080664017
     - type: manhattan_accuracy
-      value: 61.10643415514131
+      value: 61.17859290438966
     - type: manhattan_ap
-      value: 66.00394480408306
+      value: 65.68230365595265
     - type: manhattan_f1
-      value: 68.1290759718811
+      value: 68.14029363784665
     - type: manhattan_precision
-      value: 53.41301460823373
+      value: 52.32368783665289
     - type: manhattan_recall
-      value: 94.03787701660042
+      value: 97.66191255552957
     - type: max_accuracy
-      value: 61.14251352976549
+      value: 61.17859290438966
     - type: max_ap
-      value: 66.0068124858108
+      value: 65.68369552204702
     - type: max_f1
-      value: 68.1290759718811
+      value: 68.15213842637937
   - task:
       type: Retrieval
     dataset:
@@ -267,65 +267,65 @@ model-index:
       revision: 1271c7809071a13532e05f25fb53511ffce77117
     metrics:
     - type: map_at_1
-      value: 49.315
+      value: 51.054
     - type: map_at_10
-      value: 59.998
+      value: 61.926
     - type: map_at_100
-      value: 60.649
+      value: 62.514
     - type: map_at_1000
-      value: 60.668
+      value: 62.529
     - type: map_at_3
-      value: 57.727
+      value: 59.272999999999996
     - type: map_at_5
-      value: 59.019999999999996
+      value: 60.943000000000005
     - type: mrr_at_1
-      value: 49.419999999999995
+      value: 51.212
     - type: mrr_at_10
-      value: 60.036
+      value: 61.916000000000004
     - type: mrr_at_100
-      value: 60.678
+      value: 62.495999999999995
     - type: mrr_at_1000
-      value: 60.697
+      value: 62.511
     - type: mrr_at_3
-      value: 57.833
+      value: 59.326
     - type: mrr_at_5
-      value: 59.097
+      value: 60.958999999999996
     - type: ndcg_at_1
-      value: 49.419999999999995
+      value: 51.212
     - type: ndcg_at_10
-      value: 64.976
+      value: 67.223
     - type: ndcg_at_100
-      value: 68.068
+      value: 69.92699999999999
     - type: ndcg_at_1000
-      value: 68.587
+      value: 70.307
     - type: ndcg_at_3
-      value: 60.358000000000004
+      value: 61.873
     - type: ndcg_at_5
-      value: 62.668
+      value: 64.883
     - type: precision_at_1
-      value: 49.419999999999995
+      value: 51.212
     - type: precision_at_10
-      value: 8.124
+      value: 8.472
     - type: precision_at_100
-      value: 0.958
+      value: 0.9730000000000001
     - type: precision_at_1000
       value: 0.1
     - type: precision_at_3
-      value: 22.726
+      value: 23.253
     - type: precision_at_5
-      value: 14.795
+      value: 15.448
     - type: recall_at_1
-      value: 49.315
+      value: 51.054
     - type: recall_at_10
-      value: 80.453
+      value: 83.825
     - type: recall_at_100
-      value: 94.731
+      value: 96.207
     - type: recall_at_1000
-      value: 98.84100000000001
+      value: 99.157
     - type: recall_at_3
-      value: 67.861
+      value: 69.31
     - type: recall_at_5
-      value: 73.393
+      value: 76.66
   - task:
       type: Retrieval
     dataset:
@@ -336,63 +336,63 @@ model-index:
       revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
     metrics:
     - type: map_at_1
-      value: 21.493000000000002
+      value: 21.247
     - type: map_at_10
-      value: 64.066
+      value: 64.793
     - type: map_at_100
-      value: 67.917
+      value: 68.62899999999999
     - type: map_at_1000
-      value: 68.02
+      value: 68.718
     - type: map_at_3
-      value: 43.847
+      value: 44.192
     - type: map_at_5
-      value: 55.18300000000001
+      value: 55.435
     - type: mrr_at_1
-      value: 76.5
+      value: 76.7
     - type: mrr_at_10
-      value: 84.057
+      value: 84.22
     - type: mrr_at_100
-      value: 84.19
+      value: 84.341
     - type: mrr_at_1000
-      value: 84.195
+      value: 84.346
     - type: mrr_at_3
-      value: 83.125
+      value: 83.42500000000001
     - type: mrr_at_5
-      value: 83.817
+      value: 83.902
     - type: ndcg_at_1
-      value: 76.5
+      value: 76.7
     - type: ndcg_at_10
-      value: 74.601
+      value: 75.271
     - type: ndcg_at_100
-      value: 80.072
+      value: 80.62
     - type: ndcg_at_1000
-      value: 81.047
+      value: 81.45
     - type: ndcg_at_3
-      value: 72.16799999999999
+      value: 72.803
     - type: ndcg_at_5
-      value: 71.479
+      value: 71.694
     - type: precision_at_1
-      value: 76.5
+      value: 76.7
     - type: precision_at_10
-      value: 36.385
+      value: 36.925000000000004
     - type: precision_at_100
-      value: 4.633
+      value: 4.675
     - type: precision_at_1000
       value: 0.48700000000000004
     - type: precision_at_3
-      value: 64.617
+      value: 65.383
     - type: precision_at_5
-      value: 54.89000000000001
+      value: 55.15
     - type: recall_at_1
-      value: 21.493000000000002
+      value: 21.247
     - type: recall_at_10
-      value: 77.387
+      value: 78.38300000000001
     - type: recall_at_100
-      value: 93.996
+      value: 94.759
     - type: recall_at_1000
-      value: 98.83
+      value: 98.907
     - type: recall_at_3
-      value: 47.563
+      value: 48.04
     - type: recall_at_5
       value: 62.883
   - task:
@@ -405,65 +405,65 @@ model-index:
       revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
     metrics:
     - type: map_at_1
-      value: 28.499999999999996
+      value: 42.0
     - type: map_at_10
-      value: 37.271
+      value: 52.691
     - type: map_at_100
-      value: 38.318000000000005
+      value: 53.456
     - type: map_at_1000
-      value: 38.362
+      value: 53.480000000000004
     - type: map_at_3
-      value: 34.2
+      value: 49.583
     - type: map_at_5
-      value: 35.97
+      value: 51.723
     - type: mrr_at_1
-      value: 28.499999999999996
+      value: 42.0
     - type: mrr_at_10
-      value: 37.271
+      value: 52.691
     - type: mrr_at_100
-      value: 38.318000000000005
+      value: 53.456
     - type: mrr_at_1000
-      value: 38.362
+      value: 53.480000000000004
     - type: mrr_at_3
-      value: 34.2
+      value: 49.583
     - type: mrr_at_5
-      value: 35.97
+      value: 51.723
     - type: ndcg_at_1
-      value: 28.499999999999996
+      value: 42.0
     - type: ndcg_at_10
-      value: 42.419000000000004
+      value: 58.243
     - type: ndcg_at_100
-      value: 47.591
+      value: 61.907999999999994
     - type: ndcg_at_1000
-      value: 48.791000000000004
+      value: 62.483999999999995
     - type: ndcg_at_3
-      value: 36.074
+      value: 52.03
     - type: ndcg_at_5
-      value: 39.275
+      value: 55.85099999999999
     - type: precision_at_1
-      value: 28.499999999999996
+      value: 42.0
     - type: precision_at_10
-      value: 5.8999999999999995
+      value: 7.580000000000001
     - type: precision_at_100
-      value: 0.8340000000000001
+      value: 0.928
     - type: precision_at_1000
-      value: 0.093
+      value: 0.097
     - type: precision_at_3
-      value: 13.833
+      value: 19.7
     - type: precision_at_5
-      value: 9.86
+      value: 13.66
     - type: recall_at_1
-      value: 28.499999999999996
+      value: 42.0
     - type: recall_at_10
-      value: 59.0
+      value: 75.8
     - type: recall_at_100
-      value: 83.39999999999999
+      value: 92.80000000000001
     - type: recall_at_1000
-      value: 92.9
+      value: 97.2
     - type: recall_at_3
-      value: 41.5
+      value: 59.099999999999994
     - type: recall_at_5
-      value: 49.3
+      value: 68.30000000000001
   - task:
       type: Classification
     dataset:
@@ -474,9 +474,9 @@ model-index:
       revision: 421605374b29664c5fc098418fe20ada9bd55f8a
     metrics:
     - type: accuracy
-      value: 44.563293574451706
+      value: 44.86340900346287
     - type: f1
-      value: 30.778378421912002
+      value: 31.324006049353713
   - task:
       type: Classification
     dataset:
@@ -487,11 +487,11 @@ model-index:
       revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
     metrics:
     - type: accuracy
-      value: 89.23076923076924
+      value: 88.48030018761726
     - type: ap
-      value: 61.032723799932974
+      value: 59.392058006606476
     - type: f1
-      value: 84.49441280498773
+      value: 83.61333024672861
   - task:
       type: STS
     dataset:
@@ -502,17 +502,17 @@ model-index:
       revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
     metrics:
     - type: cos_sim_pearson
-      value: 66.22719629640424
+      value: 66.36852873686233
     - type: cos_sim_spearman
-      value: 72.87558846789628
+      value: 73.27371960661353
     - type: euclidean_pearson
-      value: 71.17001015918034
+      value: 71.38209904858738
     - type: euclidean_spearman
-      value: 72.8755973307354
+      value: 73.27373512049904
     - type: manhattan_pearson
-      value: 71.27354402109685
+      value: 71.51557697058817
     - type: manhattan_spearman
-      value: 72.9741374432873
+      value: 73.38956581066971
   - task:
       type: Reranking
     dataset:
@@ -523,9 +523,9 @@ model-index:
       revision: 8e0c766dbe9e16e1d221116a3f36795fbade07f6
     metrics:
     - type: map
-      value: 17.12412338289922
+      value: 19.57107231987867
     - type: mrr
-      value: 15.632936507936506
+      value: 18.224603174603175
   - task:
       type: Retrieval
     dataset:
@@ -536,65 +536,65 @@ model-index:
       revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
     metrics:
     - type: map_at_1
-      value: 43.888
+      value: 43.785000000000004
     - type: map_at_10
-      value: 53.053
+      value: 53.278000000000006
     - type: map_at_100
-      value: 53.702000000000005
+      value: 53.946000000000005
     - type: map_at_1000
-      value: 53.739000000000004
+      value: 53.983000000000004
     - type: map_at_3
-      value: 50.613
+      value: 50.846999999999994
     - type: map_at_5
-      value: 52.035
+      value: 52.286
     - type: mrr_at_1
-      value: 45.587
+      value: 45.559
     - type: mrr_at_10
-      value: 53.921
+      value: 54.129000000000005
     - type: mrr_at_100
-      value: 54.51200000000001
+      value: 54.732
     - type: mrr_at_1000
-      value: 54.54599999999999
+      value: 54.766999999999996
     - type: mrr_at_3
-      value: 51.690999999999995
+      value: 51.885999999999996
     - type: mrr_at_5
-      value: 52.977
+      value: 53.212
     - type: ndcg_at_1
-      value: 45.587
+      value: 45.559
     - type: ndcg_at_10
-      value: 57.619
+      value: 57.909
     - type: ndcg_at_100
-      value: 60.76200000000001
+      value: 61.068999999999996
     - type: ndcg_at_1000
-      value: 61.797000000000004
+      value: 62.09400000000001
     - type: ndcg_at_3
-      value: 52.805
+      value: 53.125
     - type: ndcg_at_5
-      value: 55.239000000000004
+      value: 55.614
     - type: precision_at_1
-      value: 45.587
+      value: 45.559
     - type: precision_at_10
-      value: 7.564
+      value: 7.617
     - type: precision_at_100
-      value: 0.915
+      value: 0.9199999999999999
     - type: precision_at_1000
-      value: 0.1
+      value: 0.101
     - type: precision_at_3
-      value: 20.468
+      value: 20.707
     - type: precision_at_5
-      value: 13.572999999999999
+      value: 13.730999999999998
     - type: recall_at_1
-      value: 43.888
+      value: 43.785000000000004
     - type: recall_at_10
-      value: 71.06700000000001
+      value: 71.543
     - type: recall_at_100
-      value: 85.765
+      value: 86.197
     - type: recall_at_1000
-      value: 94.038
+      value: 94.305
     - type: recall_at_3
-      value: 58.069
+      value: 58.677
     - type: recall_at_5
-      value: 63.848000000000006
+      value: 64.62599999999999
   - task:
       type: Classification
     dataset:
@@ -605,9 +605,9 @@ model-index:
       revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
     metrics:
     - type: accuracy
-      value: 60.423671822461344
+      value: 61.29455279085406
     - type: f1
-      value: 56.82053357104769
+      value: 58.42865357114413
   - task:
       type: Classification
     dataset:
@@ -618,9 +618,9 @@ model-index:
       revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
-      value: 68.69199731002018
+      value: 66.89979825151312
     - type: f1
-      value: 68.36036256101542
+      value: 66.6125514843663
   - task:
       type: Retrieval
     dataset:
@@ -631,65 +631,65 @@ model-index:
       revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
     metrics:
     - type: map_at_1
-      value: 38.0
+      value: 44.7
     - type: map_at_10
-      value: 43.6
+      value: 51.307
     - type: map_at_100
-      value: 44.235
+      value: 52.002
     - type: map_at_1000
-      value: 44.299
+      value: 52.06699999999999
     - type: map_at_3
-      value: 42.016999999999996
+      value: 49.55
     - type: map_at_5
-      value: 42.862
+      value: 50.544999999999995
     - type: mrr_at_1
-      value: 38.1
+      value: 44.9
     - type: mrr_at_10
-      value: 43.65
+      value: 51.415
     - type: mrr_at_100
-      value: 44.284
+      value: 52.111
     - type: mrr_at_1000
-      value: 44.348
+      value: 52.175000000000004
     - type: mrr_at_3
-      value: 42.067
+      value: 49.683
     - type: mrr_at_5
-      value: 42.912
+      value: 50.653000000000006
     - type: ndcg_at_1
-      value: 38.0
+      value: 44.7
     - type: ndcg_at_10
-      value: 46.537
+      value: 54.778000000000006
     - type: ndcg_at_100
-      value: 49.936
+      value: 58.526
     - type: ndcg_at_1000
-      value: 51.925
+      value: 60.187999999999995
     - type: ndcg_at_3
-      value: 43.251
+      value: 51.129999999999995
     - type: ndcg_at_5
-      value: 44.753
+      value: 52.933
     - type: precision_at_1
-      value: 38.0
+      value: 44.7
     - type: precision_at_10
-      value: 5.59
+      value: 6.58
     - type: precision_at_100
-      value: 0.7250000000000001
+      value: 0.8420000000000001
     - type: precision_at_1000
-      value: 0.089
+      value: 0.097
     - type: precision_at_3
-      value: 15.6
+      value: 18.567
     - type: precision_at_5
-      value: 10.08
+      value: 12.02
     - type: recall_at_1
-      value: 38.0
+      value: 44.7
     - type: recall_at_10
-      value: 55.900000000000006
+      value: 65.8
     - type: recall_at_100
-      value: 72.5
+      value: 84.2
     - type: recall_at_1000
-      value: 88.8
+      value: 97.2
     - type: recall_at_3
-      value: 46.800000000000004
+      value: 55.7
     - type: recall_at_5
-      value: 50.4
+      value: 60.099999999999994
   - task:
       type: Retrieval
     dataset:
@@ -700,65 +700,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 7.75
+      value: 7.625
     - type: map_at_10
-      value: 10.508000000000001
+      value: 10.238
     - type: map_at_100
-      value: 10.988000000000001
+      value: 10.885
     - type: map_at_1000
-      value: 11.059
+      value: 10.958
     - type: map_at_3
-      value: 9.417
+      value: 9.292
     - type: map_at_5
-      value: 9.942
+      value: 9.91
     - type: mrr_at_1
-      value: 7.75
+      value: 7.625
     - type: mrr_at_10
-      value: 10.508000000000001
+      value: 10.238
     - type: mrr_at_100
-      value: 10.988000000000001
+      value: 10.885
     - type: mrr_at_1000
-      value: 11.06
+      value: 10.958
     - type: mrr_at_3
-      value: 9.417
+      value: 9.292
     - type: mrr_at_5
-      value: 9.942
+      value: 9.91
     - type: ndcg_at_1
-      value: 7.75
+      value: 7.625
     - type: ndcg_at_10
-      value: 12.315
+      value: 11.784
     - type: ndcg_at_100
-      value: 15.018999999999998
+      value: 15.133
     - type: ndcg_at_1000
-      value: 17.424999999999997
+      value: 17.511
     - type: ndcg_at_3
-      value: 9.982000000000001
+      value: 9.857000000000001
     - type: ndcg_at_5
-      value: 10.918
+      value: 10.981
     - type: precision_at_1
-      value: 7.75
+      value: 7.625
     - type: precision_at_10
-      value: 1.825
+      value: 1.675
     - type: precision_at_100
-      value: 0.317
+      value: 0.329
     - type: precision_at_1000
-      value: 0.052
+      value: 0.053
     - type: precision_at_3
-      value: 3.875
+      value: 3.833
     - type: precision_at_5
-      value: 2.775
+      value: 2.85
     - type: recall_at_1
-      value: 7.75
+      value: 7.625
     - type: recall_at_10
-      value: 18.25
+      value: 16.75
     - type: recall_at_100
-      value: 31.75
+      value: 32.875
     - type: recall_at_1000
-      value: 51.74999999999999
+      value: 52.625
     - type: recall_at_3
-      value: 11.625
+      value: 11.5
     - type: recall_at_5
-      value: 13.875000000000002
+      value: 14.249999999999998
   - task:
       type: Classification
     dataset:
@@ -769,9 +769,9 @@ model-index:
       revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
     metrics:
     - type: accuracy
-      value: 78.42
+      value: 78.45666666666666
     - type: f1
-      value: 78.06136479834592
+      value: 78.06393644109178
   - task:
       type: PairClassification
     dataset:
@@ -782,51 +782,51 @@ model-index:
       revision: 66e76a618a34d6d565d5538088562851e6daa7ec
     metrics:
     - type: cos_sim_accuracy
-      value: 59.61017866811045
+      value: 59.88088792636708
     - type: cos_sim_ap
-      value: 60.271467647520495
+      value: 59.993466246406854
     - type: cos_sim_f1
-      value: 69.19575113808801
+      value: 69.33333333333334
     - type: cos_sim_precision
-      value: 53.99644760213144
+      value: 54.23122765196663
     - type: cos_sim_recall
-      value: 96.30411826821542
+      value: 96.09292502639916
     - type: dot_accuracy
-      value: 59.61017866811045
+      value: 59.88088792636708
     - type: dot_ap
-      value: 60.271467647520495
+      value: 59.99351215786742
     - type: dot_f1
-      value: 69.19575113808801
+      value: 69.33333333333334
     - type: dot_precision
-      value: 53.99644760213144
+      value: 54.23122765196663
     - type: dot_recall
-      value: 96.30411826821542
+      value: 96.09292502639916
     - type: euclidean_accuracy
-      value: 59.61017866811045
+      value: 59.88088792636708
     - type: euclidean_ap
-      value: 60.271467647520495
+      value: 59.993466246406854
     - type: euclidean_f1
-      value: 69.19575113808801
+      value: 69.33333333333334
     - type: euclidean_precision
-      value: 53.99644760213144
+      value: 54.23122765196663
     - type: euclidean_recall
-      value: 96.30411826821542
+      value: 96.09292502639916
     - type: manhattan_accuracy
-      value: 59.7184623714131
+      value: 59.989171629669734
     - type: manhattan_ap
-      value: 60.32264902752218
+      value: 60.06745167956717
     - type: manhattan_f1
-      value: 69.22201138519924
+      value: 69.37381404174573
     - type: manhattan_precision
-      value: 54.02843601895735
+      value: 54.14691943127961
     - type: manhattan_recall
-      value: 96.30411826821542
+      value: 96.51531151003168
     - type: max_accuracy
-      value: 59.7184623714131
+      value: 59.989171629669734
     - type: max_ap
-      value: 60.32264902752218
+      value: 60.06745167956717
     - type: max_f1
-      value: 69.22201138519924
+      value: 69.37381404174573
   - task:
       type: Classification
     dataset:
@@ -837,11 +837,11 @@ model-index:
       revision: e610f2ebd179a8fda30ae534c3878750a96db120
     metrics:
     - type: accuracy
-      value: 93.05000000000001
+      value: 92.58
     - type: ap
-      value: 91.18195895507802
+      value: 90.58624365698103
     - type: f1
-      value: 93.04021920382944
+      value: 92.56998002261557
   - task:
       type: STS
     dataset:
@@ -852,17 +852,17 @@ model-index:
       revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
     metrics:
     - type: cos_sim_pearson
-      value: 15.646669268679258
+      value: 15.428347645738844
     - type: cos_sim_spearman
-      value: 18.210627988600088
+      value: 18.54916824520863
     - type: euclidean_pearson
-      value: 18.545700775834135
+      value: 18.525706701701317
     - type: euclidean_spearman
-      value: 18.22638450822432
+      value: 18.564855538117524
     - type: manhattan_pearson
-      value: 18.56718129015248
+      value: 18.54511262151164
     - type: manhattan_spearman
-      value: 18.27028021184377
+      value: 18.587848451111213
   - task:
       type: PairClassification
     dataset:
@@ -873,51 +873,51 @@ model-index:
       revision: 8a04d940a42cd40658986fdd8e3da561533a3646
     metrics:
     - type: cos_sim_accuracy
-      value: 59.599999999999994
+      value: 60.3
     - type: cos_sim_ap
-      value: 57.39257507549949
+      value: 57.92869006380703
     - type: cos_sim_f1
-      value: 62.32136632973162
+      value: 62.31681786461968
     - type: cos_sim_precision
-      value: 45.265822784810126
+      value: 45.283975659229206
     - type: cos_sim_recall
-      value: 100.0
+      value: 99.88814317673378
     - type: dot_accuracy
-      value: 59.599999999999994
+      value: 60.3
     - type: dot_ap
-      value: 56.98345226457827
+      value: 57.7632607916169
     - type: dot_f1
-      value: 62.32136632973162
+      value: 62.31681786461968
     - type: dot_precision
-      value: 45.265822784810126
+      value: 45.283975659229206
     - type: dot_recall
-      value: 100.0
+      value: 99.88814317673378
     - type: euclidean_accuracy
-      value: 59.599999999999994
+      value: 60.3
     - type: euclidean_ap
-      value: 57.3922995193463
+      value: 57.92869006380703
     - type: euclidean_f1
-      value: 62.32136632973162
+      value: 62.31681786461968
     - type: euclidean_precision
-      value: 45.265822784810126
+      value: 45.283975659229206
     - type: euclidean_recall
-      value: 100.0
+      value: 99.88814317673378
     - type: manhattan_accuracy
-      value: 59.550000000000004
+      value: 60.25
     - type: manhattan_ap
-      value: 57.409507119268376
+      value: 57.929597845689706
     - type: manhattan_f1
-      value: 62.32136632973162
+      value: 62.31681786461968
     - type: manhattan_precision
-      value: 45.265822784810126
+      value: 45.283975659229206
     - type: manhattan_recall
-      value: 100.0
+      value: 99.88814317673378
     - type: max_accuracy
-      value: 59.599999999999994
+      value: 60.3
     - type: max_ap
-      value: 57.409507119268376
+      value: 57.929597845689706
     - type: max_f1
-      value: 62.32136632973162
+      value: 62.31681786461968
   - task:
       type: STS
     dataset:
@@ -928,17 +928,17 @@ model-index:
       revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
     metrics:
     - type: cos_sim_pearson
-      value: 26.20813788138459
+      value: 28.445664430656038
     - type: cos_sim_spearman
-      value: 27.161390755734427
+      value: 29.599326690902288
     - type: euclidean_pearson
-      value: 25.38239308132396
+      value: 27.900455284977017
     - type: euclidean_spearman
-      value: 27.161458517606906
+      value: 29.599947224705264
     - type: manhattan_pearson
-      value: 25.533861242377704
+      value: 28.101656918683116
     - type: manhattan_spearman
-      value: 27.356882292991834
+      value: 29.78083888978687
   - task:
       type: STS
     dataset:
@@ -949,17 +949,17 @@ model-index:
       revision: eea2b4fe26a775864c896887d910b76a8098ad3f
     metrics:
     - type: cos_sim_pearson
-      value: 63.437181390975624
+      value: 61.13774633735679
     - type: cos_sim_spearman
-      value: 66.42410464140018
+      value: 65.43749616084263
     - type: euclidean_pearson
-      value: 65.23091221659769
+      value: 63.42122949030793
     - type: euclidean_spearman
-      value: 66.42410464140018
+      value: 65.43749616084263
     - type: manhattan_pearson
-      value: 65.42430798528258
+      value: 63.78466267937151
     - type: manhattan_spearman
-      value: 66.44811980407968
+      value: 65.4252196465631
   - task:
       type: STS
     dataset:
@@ -970,17 +970,17 @@ model-index:
       revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
     metrics:
     - type: cos_sim_pearson
-      value: 67.13526185743584
+      value: 66.43725663481563
     - type: cos_sim_spearman
-      value: 67.87262977922003
+      value: 66.91073455354187
     - type: euclidean_pearson
-      value: 68.01501802788067
+      value: 67.25178758750022
     - type: euclidean_spearman
-      value: 67.87241377586508
+      value: 66.91129699608939
     - type: manhattan_pearson
-      value: 68.03194534033594
+      value: 67.33381999971951
     - type: manhattan_spearman
-      value: 67.91448799292998
+      value: 66.9990458174529
   - task:
       type: Reranking
     dataset:
@@ -991,9 +991,9 @@ model-index:
       revision: 76631901a18387f85eaa53e5450019b87ad58ef9
     metrics:
     - type: map
-      value: 64.41164023353707
+      value: 64.31327281684898
     - type: mrr
-      value: 74.15855283661647
+      value: 73.58095291829211
   - task:
       type: Retrieval
     dataset:
@@ -1004,65 +1004,65 @@ model-index:
       revision: 8731a845f1bf500a4f111cf1070785c793d10e64
     metrics:
     - type: map_at_1
-      value: 20.456
+      value: 20.961
     - type: map_at_10
-      value: 57.611999999999995
+      value: 59.065
     - type: map_at_100
-      value: 62.104000000000006
+      value: 63.544
     - type: map_at_1000
-      value: 62.251999999999995
+      value: 63.681
     - type: map_at_3
-      value: 39.806999999999995
+      value: 40.849999999999994
     - type: map_at_5
-      value: 49.016999999999996
+      value: 50.268
     - type: mrr_at_1
-      value: 73.685
+      value: 74.934
     - type: mrr_at_10
-      value: 79.361
+      value: 80.571
     - type: mrr_at_100
-      value: 79.63799999999999
+      value: 80.814
     - type: mrr_at_1000
-      value: 79.649
+      value: 80.82300000000001
     - type: mrr_at_3
-      value: 78.144
+      value: 79.449
     - type: mrr_at_5
-      value: 78.89699999999999
+      value: 80.13
     - type: ndcg_at_1
-      value: 73.685
+      value: 74.934
     - type: ndcg_at_10
-      value: 67.824
+      value: 69.215
     - type: ndcg_at_100
-      value: 74.399
+      value: 75.61099999999999
     - type: ndcg_at_1000
-      value: 75.949
+      value: 77.03999999999999
     - type: ndcg_at_3
-      value: 68.643
+      value: 70.04899999999999
     - type: ndcg_at_5
-      value: 67.108
+      value: 68.50699999999999
     - type: precision_at_1
-      value: 73.685
+      value: 74.934
     - type: precision_at_10
-      value: 34.904
+      value: 35.569
     - type: precision_at_100
-      value: 4.714
+      value: 4.757
     - type: precision_at_1000
-      value: 0.508
+      value: 0.509
     - type: precision_at_3
-      value: 60.587
+      value: 61.802
     - type: precision_at_5
-      value: 50.892
+      value: 51.882
     - type: recall_at_1
-      value: 20.456
+      value: 20.961
     - type: recall_at_10
-      value: 68.314
+      value: 69.626
     - type: recall_at_100
-      value: 88.67399999999999
+      value: 89.464
     - type: recall_at_1000
-      value: 96.48400000000001
+      value: 96.721
     - type: recall_at_3
-      value: 42.498999999999995
+      value: 43.608999999999995
     - type: recall_at_5
-      value: 54.492
+      value: 55.724
   - task:
       type: Classification
     dataset:
@@ -1073,9 +1073,9 @@ model-index:
       revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
     metrics:
     - type: accuracy
-      value: 50.258
+      value: 50.01800000000001
     - type: f1
-      value: 48.46817969810712
+      value: 48.262341643251936
   - task:
       type: Clustering
     dataset:
@@ -1086,7 +1086,7 @@ model-index:
       revision: 5798586b105c0434e4f0fe5e767abe619442cf93
     metrics:
     - type: v_measure
-      value: 59.39920752654844
+      value: 60.68748256831344
   - task:
       type: Clustering
     dataset:
@@ -1097,7 +1097,7 @@ model-index:
       revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
     metrics:
     - type: v_measure
-      value: 55.52800428947542
+      value: 56.73298697800912
   - task:
       type: Retrieval
     dataset:
@@ -1108,65 +1108,65 @@ model-index:
       revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
     metrics:
     - type: map_at_1
-      value: 25.4
+      value: 46.9
     - type: map_at_10
-      value: 33.43
+      value: 57.849
     - type: map_at_100
-      value: 34.259
+      value: 58.532
     - type: map_at_1000
-      value: 34.329
+      value: 58.553
     - type: map_at_3
-      value: 30.817
+      value: 55.467
     - type: map_at_5
-      value: 32.422000000000004
+      value: 56.92700000000001
     - type: mrr_at_1
-      value: 25.3
+      value: 46.9
     - type: mrr_at_10
-      value: 33.379999999999995
+      value: 57.849
     - type: mrr_at_100
-      value: 34.209
+      value: 58.532
     - type: mrr_at_1000
-      value: 34.278999999999996
+      value: 58.553
     - type: mrr_at_3
-      value: 30.767
+      value: 55.467
     - type: mrr_at_5
-      value: 32.372
+      value: 56.92700000000001
     - type: ndcg_at_1
-      value: 25.4
+      value: 46.9
     - type: ndcg_at_10
-      value: 37.797
+      value: 63.09
     - type: ndcg_at_100
-      value: 42.168
+      value: 66.43
     - type: ndcg_at_1000
-      value: 44.194
+      value: 66.949
     - type: ndcg_at_3
-      value: 32.537
+      value: 58.226
     - type: ndcg_at_5
-      value: 35.403
+      value: 60.838
     - type: precision_at_1
-      value: 25.4
+      value: 46.9
     - type: precision_at_10
-      value: 5.17
+      value: 7.95
     - type: precision_at_100
-      value: 0.73
+      value: 0.951
     - type: precision_at_1000
-      value: 0.089
+      value: 0.099
     - type: precision_at_3
-      value: 12.5
+      value: 22.067
     - type: precision_at_5
-      value: 8.88
+      value: 14.499999999999998
     - type: recall_at_1
-      value: 25.4
+      value: 46.9
     - type: recall_at_10
-      value: 51.7
+      value: 79.5
     - type: recall_at_100
-      value: 73.0
+      value: 95.1
     - type: recall_at_1000
-      value: 89.3
+      value: 99.1
     - type: recall_at_3
-      value: 37.5
+      value: 66.2
     - type: recall_at_5
-      value: 44.4
+      value: 72.5
   - task:
       type: Classification
     dataset:
@@ -1177,9 +1177,9 @@ model-index:
       revision: 339287def212450dcaa9df8c22bf93e9980c7023
     metrics:
     - type: accuracy
-      value: 89.17000000000002
+      value: 89.09
     - type: ap
-      value: 74.83484198968617
+      value: 74.68093732384233
     - type: f1
-      value: 87.84607916808504
+      value: 87.7768409829789
 ---