[update] README.md

README.md

@@ -6,7 +6,7 @@ tags:
 - sentence-similarity
 - mteb
 model-index:
-- name: tao
+- name: tao-8k-origin
   results:
   - task:
       type: STS
@@ -18,17 +18,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 47.33752515292192
+      value: 47.33644889578121
     - type: cos_sim_spearman
-      value: 49.940772056837176
+      value: 49.93968642502866
     - type: euclidean_pearson
-      value: 48.12147487857213
+      value: 48.12029792973887
     - type: euclidean_spearman
-      value: 49.9407519488174
+      value: 49.939666315145494
     - type: manhattan_pearson
-      value: 48.07550286372865
+      value: 48.07449594650583
     - type: manhattan_spearman
-      value: 49.89535645392862
+      value: 49.892461433911166
   - task:
       type: STS
     dataset:
@@ -39,17 +39,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 50.976865711125626
+      value: 50.976148098905746
     - type: cos_sim_spearman
-      value: 53.113084748593465
+      value: 53.11230114448237
     - type: euclidean_pearson
-      value: 55.1209592747571
+      value: 55.119977161851054
     - type: euclidean_spearman
-      value: 53.11308362230699
+      value: 53.11229776647941
     - type: manhattan_pearson
-      value: 55.09799309322416
+      value: 55.096968162828034
     - type: manhattan_spearman
-      value: 53.108059998577076
+      value: 53.107481302419465
   - task:
       type: Classification
     dataset:
@@ -60,9 +60,9 @@ model-index:
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
-      value: 40.812
+      value: 40.804
     - type: f1
-      value: 39.02060856097395
+      value: 39.01066543513968
   - task:
       type: STS
     dataset:
@@ -73,17 +73,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 62.84336868097746
+      value: 62.843816050026824
     - type: cos_sim_spearman
-      value: 65.540605433497
+      value: 65.54142642656706
     - type: euclidean_pearson
-      value: 64.08759819387913
+      value: 64.08809634876388
     - type: euclidean_spearman
-      value: 65.54060543369363
+      value: 65.54142642558392
     - type: manhattan_pearson
-      value: 64.09334283385029
+      value: 64.09391522108272
     - type: manhattan_spearman
-      value: 65.55376209169398
+      value: 65.55445491162718
   - task:
       type: Clustering
     dataset:
@@ -94,7 +94,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 39.964020691388505
+      value: 40.028061591547804
   - task:
       type: Clustering
     dataset:
@@ -105,7 +105,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 38.18628830038994
+      value: 38.1897102944254
   - task:
       type: Reranking
     dataset:
@@ -129,9 +129,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 85.87127698007234
+      value: 85.81294364673899
     - type: mrr
-      value: 88.57980158730159
+      value: 88.52146825396825
   - task:
       type: Retrieval
     dataset:
@@ -142,65 +142,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 24.484
+      value: 23.982
     - type: map_at_10
-      value: 36.3
+      value: 36.21
     - type: map_at_100
-      value: 38.181
+      value: 38.072
     - type: map_at_1000
-      value: 38.305
+      value: 38.194
     - type: map_at_3
-      value: 32.39
+      value: 32.239000000000004
     - type: map_at_5
-      value: 34.504000000000005
+      value: 34.377
     - type: mrr_at_1
-      value: 37.608999999999995
+      value: 36.858999999999995
     - type: mrr_at_10
-      value: 45.348
+      value: 45.084999999999994
     - type: mrr_at_100
-      value: 46.375
+      value: 46.104
     - type: mrr_at_1000
-      value: 46.425
+      value: 46.154
     - type: mrr_at_3
-      value: 42.969
+      value: 42.623
     - type: mrr_at_5
-      value: 44.285999999999994
+      value: 43.995
     - type: ndcg_at_1
-      value: 37.608999999999995
+      value: 36.858999999999995
     - type: ndcg_at_10
-      value: 42.675999999999995
+      value: 42.735
     - type: ndcg_at_100
-      value: 50.12799999999999
+      value: 50.181
     - type: ndcg_at_1000
-      value: 52.321
+      value: 52.309000000000005
     - type: ndcg_at_3
-      value: 37.864
+      value: 37.728
     - type: ndcg_at_5
-      value: 39.701
+      value: 39.664
     - type: precision_at_1
-      value: 37.608999999999995
+      value: 36.858999999999995
     - type: precision_at_10
-      value: 9.527
+      value: 9.615
     - type: precision_at_100
-      value: 1.555
+      value: 1.564
     - type: precision_at_1000
       value: 0.183
     - type: precision_at_3
-      value: 21.547
+      value: 21.514
     - type: precision_at_5
-      value: 15.504000000000001
+      value: 15.568999999999999
     - type: recall_at_1
-      value: 24.484
+      value: 23.982
     - type: recall_at_10
-      value: 52.43299999999999
+      value: 53.04600000000001
     - type: recall_at_100
-      value: 83.446
+      value: 84.113
     - type: recall_at_1000
-      value: 98.24199999999999
+      value: 98.37
     - type: recall_at_3
-      value: 37.653
+      value: 37.824999999999996
     - type: recall_at_5
-      value: 43.643
+      value: 44.023
   - task:
       type: PairClassification
     dataset:
@@ -213,7 +213,7 @@ model-index:
     - type: cos_sim_accuracy
       value: 77.71497294046902
     - type: cos_sim_ap
-      value: 86.84542027578229
+      value: 86.84526989595028
     - type: cos_sim_f1
       value: 79.31987247608926
     - type: cos_sim_precision
@@ -223,7 +223,7 @@ model-index:
     - type: dot_accuracy
       value: 77.71497294046902
     - type: dot_ap
-      value: 86.86514752961159
+      value: 86.83880734247957
     - type: dot_f1
       value: 79.31987247608926
     - type: dot_precision
@@ -233,7 +233,7 @@ model-index:
     - type: euclidean_accuracy
       value: 77.71497294046902
     - type: euclidean_ap
-      value: 86.84541456571337
+      value: 86.84526869685902
     - type: euclidean_f1
       value: 79.31987247608926
     - type: euclidean_precision
@@ -243,19 +243,19 @@ model-index:
     - type: manhattan_accuracy
       value: 77.8111846061335
     - type: manhattan_ap
-      value: 86.81148050422539
+      value: 86.81142881585656
     - type: manhattan_f1
-      value: 79.41176470588236
+      value: 79.4201671780764
     - type: manhattan_precision
-      value: 72.52173913043478
+      value: 72.53575570158485
     - type: manhattan_recall
       value: 87.74842179097499
     - type: max_accuracy
       value: 77.8111846061335
     - type: max_ap
-      value: 86.86514752961159
+      value: 86.84526989595028
     - type: max_f1
-      value: 79.41176470588236
+      value: 79.4201671780764
   - task:
       type: Retrieval
     dataset:
@@ -266,65 +266,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 68.862
+      value: 70.706
     - type: map_at_10
-      value: 77.079
+      value: 78.619
     - type: map_at_100
-      value: 77.428
+      value: 78.915
     - type: map_at_1000
-      value: 77.432
+      value: 78.918
     - type: map_at_3
-      value: 75.40400000000001
+      value: 76.967
     - type: map_at_5
-      value: 76.227
+      value: 77.922
     - type: mrr_at_1
-      value: 69.02000000000001
+      value: 70.917
     - type: mrr_at_10
-      value: 77.04299999999999
+      value: 78.64
     - type: mrr_at_100
-      value: 77.391
+      value: 78.935
     - type: mrr_at_1000
-      value: 77.395
+      value: 78.938
     - type: mrr_at_3
-      value: 75.44800000000001
+      value: 77.081
     - type: mrr_at_5
-      value: 76.23299999999999
+      value: 77.972
     - type: ndcg_at_1
-      value: 69.02000000000001
+      value: 70.917
     - type: ndcg_at_10
-      value: 80.789
+      value: 82.186
     - type: ndcg_at_100
-      value: 82.27499999999999
+      value: 83.487
     - type: ndcg_at_1000
-      value: 82.381
+      value: 83.589
     - type: ndcg_at_3
-      value: 77.40599999999999
+      value: 78.874
     - type: ndcg_at_5
-      value: 78.87100000000001
+      value: 80.548
     - type: precision_at_1
-      value: 69.02000000000001
+      value: 70.917
     - type: precision_at_10
-      value: 9.336
+      value: 9.431000000000001
     - type: precision_at_100
-      value: 0.9990000000000001
+      value: 1.001
     - type: precision_at_1000
       value: 0.101
     - type: precision_at_3
-      value: 27.889000000000003
+      value: 28.275
     - type: precision_at_5
-      value: 17.492
+      value: 17.829
     - type: recall_at_1
-      value: 68.862
+      value: 70.706
     - type: recall_at_10
-      value: 92.308
+      value: 93.256
     - type: recall_at_100
-      value: 98.84100000000001
+      value: 99.05199999999999
     - type: recall_at_1000
-      value: 99.684
+      value: 99.895
     - type: recall_at_3
-      value: 83.087
+      value: 84.247
     - type: recall_at_5
-      value: 86.617
+      value: 88.251
   - task:
       type: Retrieval
     dataset:
@@ -335,65 +335,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 25.063999999999997
+      value: 25.989
     - type: map_at_10
-      value: 78.014
+      value: 80.882
     - type: map_at_100
-      value: 81.021
+      value: 83.63199999999999
     - type: map_at_1000
-      value: 81.059
+      value: 83.663
     - type: map_at_3
-      value: 53.616
+      value: 55.772
     - type: map_at_5
-      value: 68.00399999999999
+      value: 70.598
     - type: mrr_at_1
-      value: 87.8
+      value: 90.14999999999999
     - type: mrr_at_10
-      value: 91.824
+      value: 93.30000000000001
     - type: mrr_at_100
-      value: 91.915
+      value: 93.363
     - type: mrr_at_1000
-      value: 91.917
+      value: 93.366
     - type: mrr_at_3
-      value: 91.525
+      value: 93.083
     - type: mrr_at_5
-      value: 91.752
+      value: 93.206
     - type: ndcg_at_1
-      value: 87.8
+      value: 90.14999999999999
     - type: ndcg_at_10
-      value: 85.74199999999999
+      value: 88.016
     - type: ndcg_at_100
-      value: 88.82900000000001
+      value: 90.52900000000001
     - type: ndcg_at_1000
-      value: 89.208
+      value: 90.84400000000001
     - type: ndcg_at_3
-      value: 84.206
+      value: 86.529
     - type: ndcg_at_5
-      value: 83.421
+      value: 85.65899999999999
     - type: precision_at_1
-      value: 87.8
+      value: 90.14999999999999
     - type: precision_at_10
-      value: 41.325
+      value: 42.295
     - type: precision_at_100
-      value: 4.8
+      value: 4.826
     - type: precision_at_1000
       value: 0.48900000000000005
     - type: precision_at_3
-      value: 75.783
+      value: 77.717
     - type: precision_at_5
-      value: 64.25999999999999
+      value: 65.81
     - type: recall_at_1
-      value: 25.063999999999997
+      value: 25.989
     - type: recall_at_10
-      value: 87.324
+      value: 89.446
     - type: recall_at_100
-      value: 97.261
+      value: 97.832
     - type: recall_at_1000
-      value: 99.309
+      value: 99.568
     - type: recall_at_3
-      value: 56.281000000000006
+      value: 58.223
     - type: recall_at_5
-      value: 73.467
+      value: 75.411
   - task:
       type: Retrieval
     dataset:
@@ -404,65 +404,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 46.800000000000004
+      value: 49.6
     - type: map_at_10
-      value: 56.887
+      value: 59.512
     - type: map_at_100
-      value: 57.556
+      value: 60.059
     - type: map_at_1000
-      value: 57.582
+      value: 60.077999999999996
     - type: map_at_3
-      value: 54.15
+      value: 56.882999999999996
     - type: map_at_5
-      value: 55.825
+      value: 58.298
     - type: mrr_at_1
-      value: 46.800000000000004
+      value: 49.6
     - type: mrr_at_10
-      value: 56.887
+      value: 59.512
     - type: mrr_at_100
-      value: 57.556
+      value: 60.059
     - type: mrr_at_1000
-      value: 57.582
+      value: 60.077999999999996
     - type: mrr_at_3
-      value: 54.15
+      value: 56.882999999999996
     - type: mrr_at_5
-      value: 55.825
+      value: 58.298
     - type: ndcg_at_1
-      value: 46.800000000000004
+      value: 49.6
     - type: ndcg_at_10
-      value: 62.061
+      value: 64.71000000000001
     - type: ndcg_at_100
-      value: 65.042
+      value: 67.238
     - type: ndcg_at_1000
-      value: 65.658
+      value: 67.74
     - type: ndcg_at_3
-      value: 56.52700000000001
+      value: 59.275
     - type: ndcg_at_5
-      value: 59.518
+      value: 61.805
     - type: precision_at_1
-      value: 46.800000000000004
+      value: 49.6
     - type: precision_at_10
-      value: 7.84
+      value: 8.12
     - type: precision_at_100
-      value: 0.9169999999999999
+      value: 0.927
     - type: precision_at_1000
-      value: 0.096
+      value: 0.097
     - type: precision_at_3
-      value: 21.133
+      value: 22.067
     - type: precision_at_5
-      value: 14.12
+      value: 14.46
     - type: recall_at_1
-      value: 46.800000000000004
+      value: 49.6
     - type: recall_at_10
-      value: 78.4
+      value: 81.2
     - type: recall_at_100
-      value: 91.7
+      value: 92.7
     - type: recall_at_1000
-      value: 96.39999999999999
+      value: 96.6
     - type: recall_at_3
-      value: 63.4
+      value: 66.2
     - type: recall_at_5
-      value: 70.6
+      value: 72.3
   - task:
       type: Classification
     dataset:
@@ -473,9 +473,9 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 48.010773374374764
+      value: 47.98768757214313
     - type: f1
-      value: 35.25314495210735
+      value: 35.24243089488371
   - task:
       type: Classification
     dataset:
@@ -501,17 +501,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 71.17867432738112
+      value: 71.17874301231225
     - type: cos_sim_spearman
-      value: 77.47954247528372
+      value: 77.47936067899236
     - type: euclidean_pearson
-      value: 76.32408876437825
+      value: 76.3241109984839
     - type: euclidean_spearman
-      value: 77.47954025694959
+      value: 77.47936511149533
     - type: manhattan_pearson
-      value: 76.33345801575938
+      value: 76.3334642249198
     - type: manhattan_spearman
-      value: 77.48901582125997
+      value: 77.48889610190774
   - task:
       type: Reranking
     dataset:
@@ -522,7 +522,7 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 27.96333052746654
+      value: 27.96872431410137
     - type: mrr
       value: 26.92023809523809
   - task:
@@ -535,65 +535,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 66.144
+      value: 66.83099999999999
     - type: map_at_10
-      value: 75.036
+      value: 75.945
     - type: map_at_100
-      value: 75.36
+      value: 76.259
     - type: map_at_1000
-      value: 75.371
+      value: 76.27000000000001
     - type: map_at_3
-      value: 73.258
+      value: 74.22999999999999
     - type: map_at_5
-      value: 74.369
+      value: 75.318
     - type: mrr_at_1
-      value: 68.381
+      value: 69.069
     - type: mrr_at_10
-      value: 75.633
+      value: 76.491
     - type: mrr_at_100
-      value: 75.91799999999999
+      value: 76.764
     - type: mrr_at_1000
-      value: 75.928
+      value: 76.775
     - type: mrr_at_3
-      value: 74.093
+      value: 75.01
     - type: mrr_at_5
-      value: 75.036
+      value: 75.934
     - type: ndcg_at_1
-      value: 68.381
+      value: 69.069
     - type: ndcg_at_10
-      value: 78.661
+      value: 79.557
     - type: ndcg_at_100
-      value: 80.15
+      value: 80.946
     - type: ndcg_at_1000
-      value: 80.456
+      value: 81.23700000000001
     - type: ndcg_at_3
-      value: 75.295
+      value: 76.31099999999999
     - type: ndcg_at_5
-      value: 77.14999999999999
+      value: 78.121
     - type: precision_at_1
-      value: 68.381
+      value: 69.069
     - type: precision_at_10
-      value: 9.481
+      value: 9.58
     - type: precision_at_100
-      value: 1.023
+      value: 1.027
     - type: precision_at_1000
       value: 0.105
     - type: precision_at_3
-      value: 28.309
+      value: 28.73
     - type: precision_at_5
-      value: 17.974
+      value: 18.201
     - type: recall_at_1
-      value: 66.144
+      value: 66.83099999999999
     - type: recall_at_10
-      value: 89.24499999999999
+      value: 90.118
     - type: recall_at_100
-      value: 96.032
+      value: 96.377
     - type: recall_at_1000
-      value: 98.437
+      value: 98.656
     - type: recall_at_3
-      value: 80.327
+      value: 81.516
     - type: recall_at_5
-      value: 84.733
+      value: 85.798
   - task:
       type: Classification
     dataset:
@@ -604,9 +604,9 @@ model-index:
       revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
     metrics:
     - type: accuracy
-      value: 68.26832548755884
+      value: 68.2649630127774
     - type: f1
-      value: 65.97422207086723
+      value: 65.96868218344183
   - task:
       type: Classification
     dataset:
@@ -617,9 +617,9 @@ model-index:
       revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
-      value: 73.13046402151984
+      value: 73.13382649630127
     - type: f1
-      value: 72.69199129694121
+      value: 72.69980239148315
   - task:
       type: Retrieval
     dataset:
@@ -630,65 +630,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 50.4
+      value: 51.2
     - type: map_at_10
-      value: 56.645
+      value: 57.715
     - type: map_at_100
-      value: 57.160999999999994
+      value: 58.233999999999995
     - type: map_at_1000
-      value: 57.218
+      value: 58.289
     - type: map_at_3
-      value: 55.383
+      value: 56.483000000000004
     - type: map_at_5
-      value: 56.08800000000001
+      value: 57.193000000000005
     - type: mrr_at_1
-      value: 50.6
+      value: 51.2
     - type: mrr_at_10
-      value: 56.745999999999995
+      value: 57.714
     - type: mrr_at_100
-      value: 57.262
+      value: 58.233000000000004
     - type: mrr_at_1000
-      value: 57.318999999999996
+      value: 58.288
     - type: mrr_at_3
-      value: 55.483000000000004
+      value: 56.483000000000004
     - type: mrr_at_5
-      value: 56.188
+      value: 57.193000000000005
     - type: ndcg_at_1
-      value: 50.4
+      value: 51.2
     - type: ndcg_at_10
-      value: 59.534
+      value: 60.63499999999999
     - type: ndcg_at_100
-      value: 62.400999999999996
+      value: 63.458000000000006
     - type: ndcg_at_1000
-      value: 64.01299999999999
+      value: 64.992
     - type: ndcg_at_3
-      value: 56.887
+      value: 58.11300000000001
     - type: ndcg_at_5
-      value: 58.160000000000004
+      value: 59.391000000000005
     - type: precision_at_1
-      value: 50.4
+      value: 51.2
     - type: precision_at_10
-      value: 6.859999999999999
+      value: 6.97
     - type: precision_at_100
-      value: 0.828
+      value: 0.836
     - type: precision_at_1000
       value: 0.096
     - type: precision_at_3
-      value: 20.4
+      value: 20.933
     - type: precision_at_5
-      value: 12.86
+      value: 13.18
     - type: recall_at_1
-      value: 50.4
+      value: 51.2
     - type: recall_at_10
-      value: 68.60000000000001
+      value: 69.69999999999999
     - type: recall_at_100
-      value: 82.8
+      value: 83.6
     - type: recall_at_1000
-      value: 95.7
+      value: 95.8
     - type: recall_at_3
-      value: 61.199999999999996
+      value: 62.8
     - type: recall_at_5
-      value: 64.3
+      value: 65.9
   - task:
       type: Classification
     dataset:
@@ -699,9 +699,9 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 73.39666666666666
+      value: 73.39
     - type: f1
-      value: 72.86349039489504
+      value: 72.85739851837214
   - task:
       type: PairClassification
     dataset:
@@ -714,37 +714,37 @@ model-index:
     - type: cos_sim_accuracy
       value: 73.36220898754738
     - type: cos_sim_ap
-      value: 78.50300066088354
+      value: 78.50045169678386
     - type: cos_sim_f1
-      value: 75.39370078740157
+      value: 75.3875968992248
     - type: cos_sim_precision
-      value: 70.59907834101382
+      value: 69.65085049239033
     - type: cos_sim_recall
-      value: 80.8870116156283
+      value: 82.15417106652588
     - type: dot_accuracy
       value: 73.36220898754738
     - type: dot_ap
-      value: 78.50300066088354
+      value: 78.50039148302838
     - type: dot_f1
-      value: 75.39370078740157
+      value: 75.3875968992248
     - type: dot_precision
-      value: 70.59907834101382
+      value: 69.65085049239033
     - type: dot_recall
-      value: 80.8870116156283
+      value: 82.15417106652588
     - type: euclidean_accuracy
       value: 73.36220898754738
     - type: euclidean_ap
-      value: 78.50300066088354
+      value: 78.50045169678386
     - type: euclidean_f1
-      value: 75.39370078740157
+      value: 75.3875968992248
     - type: euclidean_precision
-      value: 70.59907834101382
+      value: 69.65085049239033
     - type: euclidean_recall
-      value: 80.8870116156283
+      value: 82.15417106652588
     - type: manhattan_accuracy
       value: 73.09149972929075
     - type: manhattan_ap
-      value: 78.41160715817406
+      value: 78.40911589236852
     - type: manhattan_f1
       value: 75.3623188405797
     - type: manhattan_precision
@@ -754,9 +754,9 @@ model-index:
     - type: max_accuracy
       value: 73.36220898754738
     - type: max_ap
-      value: 78.50300066088354
+      value: 78.50045169678386
     - type: max_f1
-      value: 75.39370078740157
+      value: 75.3875968992248
   - task:
       type: Classification
     dataset:
@@ -767,11 +767,11 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 91.82000000000001
+      value: 91.81000000000002
     - type: ap
-      value: 89.3671278896903
+      value: 89.35809579688139
     - type: f1
-      value: 91.8021970144045
+      value: 91.79220350456818
   - task:
       type: STS
     dataset:
@@ -782,17 +782,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 30.07022294131062
+      value: 30.06960208048424
     - type: cos_sim_spearman
-      value: 36.21542804954441
+      value: 36.21568893707218
     - type: euclidean_pearson
-      value: 36.37841945307606
+      value: 36.3789158810154
     - type: euclidean_spearman
-      value: 36.215513214835546
+      value: 36.21568740241203
     - type: manhattan_pearson
-      value: 36.31755715017088
+      value: 36.318190228955935
     - type: manhattan_spearman
-      value: 36.16848256918425
+      value: 36.16813420759451
   - task:
       type: STS
     dataset:
@@ -803,17 +803,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 36.779755871073505
+      value: 36.779942621488736
     - type: cos_sim_spearman
-      value: 38.736220679196606
+      value: 38.73716529566492
     - type: euclidean_pearson
-      value: 37.13356686891227
+      value: 37.134107612179605
     - type: euclidean_spearman
-      value: 38.73619198602118
+      value: 38.737099842399545
     - type: manhattan_pearson
-      value: 37.175466658530816
+      value: 37.17579625045808
     - type: manhattan_spearman
-      value: 38.74523158724344
+      value: 38.746051563332315
   - task:
       type: STS
     dataset:
@@ -824,17 +824,17 @@ model-index:
       revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
     metrics:
     - type: cos_sim_pearson
-      value: 65.9737863254904
+      value: 65.97416499132073
     - type: cos_sim_spearman
-      value: 68.88293545840186
+      value: 68.87894646940939
     - type: euclidean_pearson
-      value: 67.23730973929247
+      value: 67.2366929400408
     - type: euclidean_spearman
-      value: 68.88293545840186
+      value: 68.87894646940939
     - type: manhattan_pearson
-      value: 67.30647960940956
+      value: 67.30590304353478
     - type: manhattan_spearman
-      value: 68.90553460682702
+      value: 68.90546655032796
   - task:
       type: STS
     dataset:
@@ -845,17 +845,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 78.99371432933002
+      value: 78.99420906581649
     - type: cos_sim_spearman
-      value: 79.36496709214312
+      value: 79.36553449000968
     - type: euclidean_pearson
-      value: 78.77721120706431
+      value: 78.77734144763518
     - type: euclidean_spearman
-      value: 79.36500761622595
+      value: 79.36545230850567
     - type: manhattan_pearson
-      value: 78.82503201285202
+      value: 78.82512507141092
     - type: manhattan_spearman
-      value: 79.43915548337401
+      value: 79.43977311125059
   - task:
       type: Reranking
     dataset:
@@ -866,9 +866,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 66.38418982516941
+      value: 66.38018284846501
     - type: mrr
-      value: 76.09996131153883
+      value: 76.11180965277104
   - task:
       type: Retrieval
     dataset:
@@ -879,65 +879,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 27.426000000000002
+      value: 27.423
     - type: map_at_10
-      value: 77.209
+      value: 77.206
     - type: map_at_100
-      value: 80.838
+      value: 80.83500000000001
     - type: map_at_1000
-      value: 80.903
+      value: 80.9
     - type: map_at_3
-      value: 54.196
+      value: 54.190000000000005
     - type: map_at_5
-      value: 66.664
+      value: 66.662
     - type: mrr_at_1
       value: 90.049
     - type: mrr_at_10
-      value: 92.482
+      value: 92.48100000000001
     - type: mrr_at_100
-      value: 92.568
+      value: 92.567
     - type: mrr_at_1000
-      value: 92.572
+      value: 92.571
     - type: mrr_at_3
-      value: 92.072
+      value: 92.07
     - type: mrr_at_5
-      value: 92.33
+      value: 92.32900000000001
     - type: ndcg_at_1
       value: 90.049
     - type: ndcg_at_10
-      value: 84.69200000000001
+      value: 84.69
     - type: ndcg_at_100
-      value: 88.25699999999999
+      value: 88.254
     - type: ndcg_at_1000
-      value: 88.896
+      value: 88.89399999999999
     - type: ndcg_at_3
-      value: 86.09700000000001
+      value: 86.091
     - type: ndcg_at_5
-      value: 84.68599999999999
+      value: 84.685
     - type: precision_at_1
       value: 90.049
     - type: precision_at_10
-      value: 42.142
+      value: 42.141
     - type: precision_at_100
-      value: 5.017
+      value: 5.016
     - type: precision_at_1000
       value: 0.516
     - type: precision_at_3
-      value: 75.358
+      value: 75.352
     - type: precision_at_5
-      value: 63.173
+      value: 63.176
     - type: recall_at_1
-      value: 27.426000000000002
+      value: 27.423
     - type: recall_at_10
-      value: 83.59400000000001
+      value: 83.595
     - type: recall_at_100
       value: 95.21
     - type: recall_at_1000
       value: 98.503
     - type: recall_at_3
-      value: 55.849000000000004
+      value: 55.84400000000001
     - type: recall_at_5
-      value: 69.986
+      value: 69.987
   - task:
       type: Classification
     dataset:
@@ -948,9 +948,9 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 51.925999999999995
+      value: 51.927
     - type: f1
-      value: 50.16867723626971
+      value: 50.16838216110367
   - task:
       type: Clustering
     dataset:
@@ -961,7 +961,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 60.738901671970005
+      value: 60.85131720842154
   - task:
       type: Clustering
     dataset:
@@ -972,7 +972,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 57.08563183138733
+      value: 57.0921610946628
   - task:
       type: Retrieval
     dataset:
@@ -983,65 +983,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 52.0
+      value: 56.99999999999999
     - type: map_at_10
-      value: 62.956
+      value: 67.611
     - type: map_at_100
-      value: 63.491
+      value: 68.095
     - type: map_at_1000
-      value: 63.50599999999999
+      value: 68.10300000000001
     - type: map_at_3
-      value: 60.733000000000004
+      value: 65.75
     - type: map_at_5
-      value: 62.217999999999996
+      value: 66.93
     - type: mrr_at_1
-      value: 52.0
+      value: 56.89999999999999
     - type: mrr_at_10
-      value: 62.956
+      value: 67.561
     - type: mrr_at_100
-      value: 63.491
+      value: 68.045
     - type: mrr_at_1000
-      value: 63.50599999999999
+      value: 68.053
     - type: mrr_at_3
-      value: 60.733000000000004
+      value: 65.7
     - type: mrr_at_5
-      value: 62.217999999999996
+      value: 66.88
     - type: ndcg_at_1
-      value: 52.0
+      value: 56.99999999999999
     - type: ndcg_at_10
-      value: 67.956
+      value: 72.25200000000001
     - type: ndcg_at_100
-      value: 70.536
+      value: 74.542
     - type: ndcg_at_1000
-      value: 70.908
+      value: 74.725
     - type: ndcg_at_3
-      value: 63.456999999999994
+      value: 68.47
     - type: ndcg_at_5
-      value: 66.155
+      value: 70.583
     - type: precision_at_1
-      value: 52.0
+      value: 56.99999999999999
     - type: precision_at_10
-      value: 8.35
+      value: 8.66
     - type: precision_at_100
-      value: 0.955
+      value: 0.972
     - type: precision_at_1000
-      value: 0.098
+      value: 0.099
     - type: precision_at_3
-      value: 23.767
+      value: 25.433
     - type: precision_at_5
-      value: 15.58
+      value: 16.28
     - type: recall_at_1
-      value: 52.0
+      value: 56.99999999999999
     - type: recall_at_10
-      value: 83.5
+      value: 86.6
     - type: recall_at_100
-      value: 95.5
+      value: 97.2
     - type: recall_at_1000
-      value: 98.4
+      value: 98.6
     - type: recall_at_3
-      value: 71.3
+      value: 76.3
     - type: recall_at_5
-      value: 77.9
+      value: 81.39999999999999
   - task:
       type: Classification
     dataset: