Update README.md

README.md

@@ -14,17 +14,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 54.0230470968506
+      value: 57.03519449697447
     - type: cos_sim_spearman
-      value: 58.79814040939044
+      value: 61.05687780613
     - type: euclidean_pearson
-      value: 57.456654584077896
+      value: 59.92928475064863
     - type: euclidean_spearman
-      value: 58.797175403338585
+      value: 61.05685769955894
     - type: manhattan_pearson
-      value: 57.44746868687558
+      value: 59.91091069371023
     - type: manhattan_spearman
-      value: 58.79066161248843
+      value: 61.01906162919386
   - task:
       type: STS
     dataset:
@@ -35,17 +35,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 53.52082226478944
+      value: 56.81511631314823
     - type: cos_sim_spearman
-      value: 57.94121517359626
+      value: 59.017410073656826
     - type: euclidean_pearson
-      value: 61.160779395243715
+      value: 63.44414716754522
     - type: euclidean_spearman
-      value: 57.941233187487526
+      value: 59.017407821544175
     - type: manhattan_pearson
-      value: 61.15878861542791
+      value: 63.4171455580894
     - type: manhattan_spearman
-      value: 57.940620715184224
+      value: 59.00005143754492
   - task:
       type: Classification
     dataset:
@@ -56,9 +56,9 @@ model-index:
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
-      value: 48.536
+      value: 49.28
     - type: f1
-      value: 46.59904838748693
+      value: 46.84433761170775
   - task:
       type: STS
     dataset:
@@ -69,17 +69,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 68.2618929828169
+      value: 71.06047581825707
     - type: cos_sim_spearman
-      value: 70.36192476428671
+      value: 72.63091479940526
     - type: euclidean_pearson
-      value: 69.41572660105302
+      value: 71.33861457006756
     - type: euclidean_spearman
-      value: 70.36195940530303
+      value: 72.63091479809789
     - type: manhattan_pearson
-      value: 69.39132691183522
+      value: 71.3148241099811
     - type: manhattan_spearman
-      value: 70.34010092400209
+      value: 72.60884847026323
   - task:
       type: Clustering
     dataset:
@@ -90,7 +90,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 47.08423639165573
+      value: 55.11593452044331
   - task:
       type: Clustering
     dataset:
@@ -101,7 +101,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 44.05176471944069
+      value: 45.0556727269734
   - task:
       type: Reranking
     dataset:
@@ -112,9 +112,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 88.57151543594188
+      value: 88.88589952904408
     - type: mrr
-      value: 90.61761904761904
+      value: 90.94142857142857
   - task:
       type: Reranking
     dataset:
@@ -125,9 +125,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 88.89654770110027
+      value: 89.98162054042666
     - type: mrr
-      value: 90.90099206349205
+      value: 92.06119047619048
   - task:
       type: Retrieval
     dataset:
@@ -138,65 +138,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.924999999999997
+      value: 26.99
     - type: map_at_10
-      value: 40.0
+      value: 40.187
     - type: map_at_100
-      value: 41.911
+      value: 42.057
     - type: map_at_1000
-      value: 42.013
+      value: 42.156
     - type: map_at_3
-      value: 35.408
+      value: 35.704
     - type: map_at_5
-      value: 38.025999999999996
+      value: 38.307
     - type: mrr_at_1
-      value: 40.685
+      value: 40.835
     - type: mrr_at_10
-      value: 48.837
+      value: 49.207
     - type: mrr_at_100
-      value: 49.823
+      value: 50.163999999999994
     - type: mrr_at_1000
-      value: 49.863
+      value: 50.2
     - type: mrr_at_3
-      value: 46.141
+      value: 46.649
     - type: mrr_at_5
-      value: 47.707
+      value: 48.082
     - type: ndcg_at_1
-      value: 40.685
+      value: 40.835
     - type: ndcg_at_10
-      value: 46.768
+      value: 46.976
     - type: ndcg_at_100
-      value: 53.996
+      value: 54.162
     - type: ndcg_at_1000
-      value: 55.694
+      value: 55.84
     - type: ndcg_at_3
-      value: 40.993
+      value: 41.417
     - type: ndcg_at_5
-      value: 43.553999999999995
+      value: 43.864999999999995
     - type: precision_at_1
-      value: 40.685
+      value: 40.835
     - type: precision_at_10
-      value: 10.42
+      value: 10.403
     - type: precision_at_100
-      value: 1.625
+      value: 1.6219999999999999
     - type: precision_at_1000
       value: 0.184
     - type: precision_at_3
-      value: 23.105999999999998
+      value: 23.473
     - type: precision_at_5
-      value: 16.994
+      value: 17.094
     - type: recall_at_1
-      value: 26.924999999999997
+      value: 26.99
     - type: recall_at_10
-      value: 57.818999999999996
+      value: 57.949
     - type: recall_at_100
-      value: 87.4
+      value: 87.578
     - type: recall_at_1000
-      value: 98.721
+      value: 98.741
     - type: recall_at_3
-      value: 40.732
+      value: 41.244
     - type: recall_at_5
-      value: 48.359
+      value: 48.727
   - task:
       type: PairClassification
     dataset:
@@ -207,51 +207,51 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_accuracy
-      value: 81.10449377368705
+      value: 85.07516536380037
     - type: cos_sim_ap
-      value: 85.15661533065932
+      value: 92.05034893565924
     - type: cos_sim_f1
-      value: 82.98479087452472
+      value: 85.86387434554975
     - type: cos_sim_precision
-      value: 75.45375972342264
+      value: 82.0
     - type: cos_sim_recall
-      value: 92.18585005279832
+      value: 90.10989010989012
     - type: dot_accuracy
-      value: 81.10449377368705
+      value: 85.07516536380037
     - type: dot_ap
-      value: 85.1383107430588
+      value: 92.05615563994219
     - type: dot_f1
-      value: 82.98479087452472
+      value: 85.86387434554975
     - type: dot_precision
-      value: 75.45375972342264
+      value: 82.0
     - type: dot_recall
-      value: 92.18585005279832
+      value: 90.10989010989012
     - type: euclidean_accuracy
-      value: 81.10449377368705
+      value: 85.07516536380037
     - type: euclidean_ap
-      value: 85.15515844935794
+      value: 92.05034675223959
     - type: euclidean_f1
-      value: 82.96860133206471
+      value: 85.86387434554975
     - type: euclidean_precision
-      value: 75.4978354978355
+      value: 82.0
     - type: euclidean_recall
-      value: 92.08025343189018
+      value: 90.10989010989012
     - type: manhattan_accuracy
-      value: 81.10449377368705
+      value: 85.13529765484064
     - type: manhattan_ap
-      value: 85.1260027067541
+      value: 92.02926780269996
     - type: manhattan_f1
-      value: 82.93384467881111
+      value: 85.87722240858771
     - type: manhattan_precision
-      value: 75.94381035996489
+      value: 82.29747106729532
     - type: manhattan_recall
-      value: 91.34107708553326
+      value: 89.78255786766425
     - type: max_accuracy
-      value: 81.10449377368705
+      value: 85.13529765484064
     - type: max_ap
-      value: 85.15661533065932
+      value: 92.05615563994219
     - type: max_f1
-      value: 82.98479087452472
+      value: 85.87722240858771
   - task:
       type: Retrieval
     dataset:
@@ -262,65 +262,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 68.44
+      value: 68.072
     - type: map_at_10
-      value: 77.571
+      value: 76.31700000000001
     - type: map_at_100
-      value: 77.834
+      value: 76.667
     - type: map_at_1000
-      value: 77.838
+      value: 76.671
     - type: map_at_3
-      value: 75.913
+      value: 74.52600000000001
     - type: map_at_5
-      value: 76.942
+      value: 75.689
     - type: mrr_at_1
-      value: 68.809
+      value: 68.282
     - type: mrr_at_10
-      value: 77.656
+      value: 76.363
     - type: mrr_at_100
-      value: 77.912
+      value: 76.685
     - type: mrr_at_1000
-      value: 77.916
+      value: 76.688
     - type: mrr_at_3
-      value: 76.063
+      value: 74.517
     - type: mrr_at_5
-      value: 77.074
+      value: 75.75
     - type: ndcg_at_1
-      value: 68.704
+      value: 68.282
     - type: ndcg_at_10
-      value: 81.524
+      value: 80.123
     - type: ndcg_at_100
-      value: 82.72
+      value: 81.647
     - type: ndcg_at_1000
-      value: 82.826
+      value: 81.784
     - type: ndcg_at_3
-      value: 78.251
+      value: 76.595
     - type: ndcg_at_5
-      value: 80.075
+      value: 78.689
     - type: precision_at_1
-      value: 68.704
+      value: 68.282
     - type: precision_at_10
-      value: 9.463000000000001
+      value: 9.252
     - type: precision_at_100
-      value: 1.001
+      value: 0.997
     - type: precision_at_1000
       value: 0.101
     - type: precision_at_3
-      value: 28.486
+      value: 27.643
     - type: precision_at_5
-      value: 18.019
+      value: 17.64
     - type: recall_at_1
-      value: 68.44
+      value: 68.072
     - type: recall_at_10
-      value: 93.625
+      value: 91.807
     - type: recall_at_100
-      value: 99.05199999999999
+      value: 98.63
     - type: recall_at_1000
-      value: 99.895
+      value: 99.789
     - type: recall_at_3
-      value: 84.879
+      value: 82.50800000000001
     - type: recall_at_5
-      value: 89.252
+      value: 87.53999999999999
   - task:
       type: Retrieval
     dataset:
@@ -331,65 +331,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 25.653
+      value: 26.511000000000003
     - type: map_at_10
-      value: 79.118
+      value: 81.28699999999999
     - type: map_at_100
-      value: 81.917
+      value: 84.028
     - type: map_at_1000
-      value: 81.962
+      value: 84.062
     - type: map_at_3
-      value: 54.56999999999999
+      value: 56.821
     - type: map_at_5
-      value: 69.246
+      value: 71.474
     - type: mrr_at_1
-      value: 89.35
+      value: 91.55
     - type: mrr_at_10
-      value: 92.69
+      value: 94.109
     - type: mrr_at_100
-      value: 92.77
+      value: 94.182
     - type: mrr_at_1000
-      value: 92.77300000000001
+      value: 94.18299999999999
     - type: mrr_at_3
-      value: 92.425
+      value: 93.833
     - type: mrr_at_5
-      value: 92.575
+      value: 94.041
     - type: ndcg_at_1
-      value: 89.35
+      value: 91.55
     - type: ndcg_at_10
-      value: 86.558
+      value: 88.24300000000001
     - type: ndcg_at_100
-      value: 89.36
+      value: 90.928
     - type: ndcg_at_1000
-      value: 89.789
+      value: 91.221
     - type: ndcg_at_3
-      value: 85.419
+      value: 87.558
     - type: ndcg_at_5
-      value: 84.52
+      value: 86.39099999999999
     - type: precision_at_1
-      value: 89.35
+      value: 91.55
     - type: precision_at_10
-      value: 41.589999999999996
+      value: 41.959999999999994
     - type: precision_at_100
-      value: 4.781
+      value: 4.812
     - type: precision_at_1000
-      value: 0.488
+      value: 0.48900000000000005
     - type: precision_at_3
-      value: 76.717
+      value: 78.38300000000001
     - type: precision_at_5
-      value: 65.08
+      value: 66.02
     - type: recall_at_1
-      value: 25.653
+      value: 26.511000000000003
     - type: recall_at_10
-      value: 87.651
+      value: 88.98
     - type: recall_at_100
-      value: 96.858
+      value: 97.941
     - type: recall_at_1000
-      value: 99.13300000000001
+      value: 99.367
     - type: recall_at_3
-      value: 56.901
+      value: 58.813
     - type: recall_at_5
-      value: 74.054
+      value: 75.69500000000001
   - task:
       type: Retrieval
     dataset:
@@ -400,65 +400,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 52.0
+      value: 52.7
     - type: map_at_10
-      value: 62.576
+      value: 62.28399999999999
     - type: map_at_100
-      value: 63.073
+      value: 62.827
     - type: map_at_1000
-      value: 63.09
+      value: 62.842
     - type: map_at_3
-      value: 60.25
+      value: 59.917
     - type: map_at_5
-      value: 61.73
+      value: 61.327
     - type: mrr_at_1
-      value: 52.0
+      value: 52.7
     - type: mrr_at_10
-      value: 62.576
+      value: 62.28399999999999
     - type: mrr_at_100
-      value: 63.073
+      value: 62.827
     - type: mrr_at_1000
-      value: 63.09
+      value: 62.842
     - type: mrr_at_3
-      value: 60.25
+      value: 59.917
     - type: mrr_at_5
-      value: 61.73
+      value: 61.327
     - type: ndcg_at_1
-      value: 52.0
+      value: 52.7
     - type: ndcg_at_10
-      value: 67.535
+      value: 67.128
     - type: ndcg_at_100
-      value: 69.918
+      value: 69.74900000000001
     - type: ndcg_at_1000
-      value: 70.303
+      value: 70.108
     - type: ndcg_at_3
-      value: 62.839
+      value: 62.251
     - type: ndcg_at_5
-      value: 65.511
+      value: 64.84100000000001
     - type: precision_at_1
-      value: 52.0
+      value: 52.7
     - type: precision_at_10
-      value: 8.3
+      value: 8.24
     - type: precision_at_100
-      value: 0.941
+      value: 0.946
     - type: precision_at_1000
       value: 0.097
     - type: precision_at_3
-      value: 23.433
+      value: 23.0
     - type: precision_at_5
-      value: 15.36
+      value: 15.079999999999998
     - type: recall_at_1
-      value: 52.0
+      value: 52.7
     - type: recall_at_10
-      value: 83.0
+      value: 82.39999999999999
     - type: recall_at_100
-      value: 94.1
+      value: 94.6
     - type: recall_at_1000
-      value: 97.0
+      value: 97.39999999999999
     - type: recall_at_3
-      value: 70.3
+      value: 69.0
     - type: recall_at_5
-      value: 76.8
+      value: 75.4
   - task:
       type: Classification
     dataset:
@@ -469,9 +469,9 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 51.76606387071951
+      value: 52.751058099268946
     - type: f1
-      value: 40.31516560726137
+      value: 42.08257079453902
   - task:
       type: Classification
     dataset:
@@ -482,11 +482,11 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 86.69793621013133
+      value: 88.29268292682926
     - type: ap
-      value: 55.46718958939327
+      value: 58.92380933786006
     - type: f1
-      value: 81.48228915952436
+      value: 83.38194360730576
   - task:
       type: STS
     dataset:
@@ -497,17 +497,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 71.13474501946303
+      value: 74.20476238217833
     - type: cos_sim_spearman
-      value: 78.1761029193962
+      value: 79.30229178361162
     - type: euclidean_pearson
-      value: 77.48482435905522
+      value: 79.24335190560299
     - type: euclidean_spearman
-      value: 78.17607188104564
+      value: 79.30229178105364
     - type: manhattan_pearson
-      value: 77.47331798992634
+      value: 79.22468300467371
     - type: manhattan_spearman
-      value: 78.1667116013234
+      value: 79.29290711369052
   - task:
       type: Reranking
     dataset:
@@ -518,9 +518,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 28.23811014679616
+      value: 31.85453315055195
     - type: mrr
-      value: 27.34960317460317
+      value: 30.61468253968254
   - task:
       type: Retrieval
     dataset:
@@ -531,65 +531,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 65.697
+      value: 66.671
     - type: map_at_10
-      value: 74.778
+      value: 75.656
     - type: map_at_100
-      value: 75.117
+      value: 75.978
     - type: map_at_1000
-      value: 75.129
+      value: 75.99000000000001
     - type: map_at_3
-      value: 73.029
+      value: 73.80499999999999
     - type: map_at_5
-      value: 74.148
+      value: 75.023
     - type: mrr_at_1
-      value: 67.96600000000001
+      value: 68.95400000000001
     - type: mrr_at_10
-      value: 75.405
+      value: 76.25
     - type: mrr_at_100
-      value: 75.703
+      value: 76.534
     - type: mrr_at_1000
-      value: 75.714
+      value: 76.545
     - type: mrr_at_3
-      value: 73.892
+      value: 74.632
     - type: mrr_at_5
-      value: 74.86
+      value: 75.69500000000001
     - type: ndcg_at_1
-      value: 67.96600000000001
+      value: 68.95400000000001
     - type: ndcg_at_10
-      value: 78.444
+      value: 79.293
     - type: ndcg_at_100
-      value: 79.971
+      value: 80.709
     - type: ndcg_at_1000
-      value: 80.284
+      value: 81.00500000000001
     - type: ndcg_at_3
-      value: 75.13300000000001
+      value: 75.815
     - type: ndcg_at_5
-      value: 77.018
+      value: 77.861
     - type: precision_at_1
-      value: 67.96600000000001
+      value: 68.95400000000001
     - type: precision_at_10
-      value: 9.474
+      value: 9.559
     - type: precision_at_100
-      value: 1.023
+      value: 1.026
     - type: precision_at_1000
       value: 0.105
     - type: precision_at_3
-      value: 28.328999999999997
+      value: 28.486
     - type: precision_at_5
-      value: 17.989
+      value: 18.178
     - type: recall_at_1
-      value: 65.697
+      value: 66.671
     - type: recall_at_10
-      value: 89.09899999999999
+      value: 89.904
     - type: recall_at_100
-      value: 96.023
+      value: 96.243
     - type: recall_at_1000
-      value: 98.441
+      value: 98.55199999999999
     - type: recall_at_3
-      value: 80.343
+      value: 80.778
     - type: recall_at_5
-      value: 84.824
+      value: 85.611
   - task:
       type: Classification
     dataset:
@@ -600,9 +600,9 @@ model-index:
       revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
     metrics:
     - type: accuracy
-      value: 75.86751849361129
+      value: 77.64290517821115
     - type: f1
-      value: 73.04392353740805
+      value: 74.45829057694098
   - task:
       type: Classification
     dataset:
@@ -613,9 +613,9 @@ model-index:
       revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
-      value: 78.43308675184936
+      value: 85.09751176866173
     - type: f1
-      value: 78.10822258565513
+      value: 84.27719445179089
   - task:
       type: Retrieval
     dataset:
@@ -626,65 +626,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 54.900000000000006
+      value: 54.7
     - type: map_at_10
-      value: 60.99
+      value: 61.422
     - type: map_at_100
-      value: 61.556
+      value: 61.870999999999995
     - type: map_at_1000
-      value: 61.598
+      value: 61.917
     - type: map_at_3
-      value: 59.516999999999996
+      value: 59.833000000000006
     - type: map_at_5
-      value: 60.327
+      value: 60.663
     - type: mrr_at_1
-      value: 55.00000000000001
+      value: 54.900000000000006
     - type: mrr_at_10
-      value: 61.040000000000006
+      value: 61.539
     - type: mrr_at_100
-      value: 61.60600000000001
+      value: 61.988
     - type: mrr_at_1000
-      value: 61.648
+      value: 62.034
     - type: mrr_at_3
-      value: 59.567
+      value: 59.95
     - type: mrr_at_5
-      value: 60.377
+      value: 60.78
     - type: ndcg_at_1
-      value: 54.900000000000006
+      value: 54.7
     - type: ndcg_at_10
-      value: 64.021
+      value: 64.816
     - type: ndcg_at_100
-      value: 67.002
+      value: 67.27499999999999
     - type: ndcg_at_1000
-      value: 68.21300000000001
+      value: 68.518
     - type: ndcg_at_3
-      value: 60.955999999999996
+      value: 61.446999999999996
     - type: ndcg_at_5
-      value: 62.427
+      value: 62.937
     - type: precision_at_1
-      value: 54.900000000000006
+      value: 54.7
     - type: precision_at_10
-      value: 7.359999999999999
+      value: 7.5600000000000005
     - type: precision_at_100
-      value: 0.881
+      value: 0.878
     - type: precision_at_1000
       value: 0.098
     - type: precision_at_3
-      value: 21.7
+      value: 22.033
     - type: precision_at_5
-      value: 13.74
+      value: 13.94
     - type: recall_at_1
-      value: 54.900000000000006
+      value: 54.7
     - type: recall_at_10
-      value: 73.6
+      value: 75.6
     - type: recall_at_100
-      value: 88.1
+      value: 87.8
     - type: recall_at_1000
-      value: 97.8
+      value: 97.6
     - type: recall_at_3
-      value: 65.10000000000001
+      value: 66.10000000000001
     - type: recall_at_5
-      value: 68.7
+      value: 69.69999999999999
   - task:
       type: Classification
     dataset:
@@ -695,9 +695,9 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 77.52333333333333
+      value: 78.61666666666667
     - type: f1
-      value: 77.49510023279737
+      value: 78.46001064447016
   - task:
       type: PairClassification
     dataset:
@@ -708,51 +708,51 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_accuracy
-      value: 81.10449377368705
+      value: 83.48673524634542
     - type: cos_sim_ap
-      value: 85.15661533065932
+      value: 86.97066512426397
     - type: cos_sim_f1
-      value: 82.98479087452472
+      value: 84.4467108618052
     - type: cos_sim_precision
-      value: 75.45375972342264
+      value: 81.65680473372781
     - type: cos_sim_recall
-      value: 92.18585005279832
+      value: 87.43400211193241
     - type: dot_accuracy
-      value: 81.10449377368705
+      value: 83.48673524634542
     - type: dot_ap
-      value: 85.1383107430588
+      value: 86.97070037115512
     - type: dot_f1
-      value: 82.98479087452472
+      value: 84.4467108618052
     - type: dot_precision
-      value: 75.45375972342264
+      value: 81.65680473372781
     - type: dot_recall
-      value: 92.18585005279832
+      value: 87.43400211193241
     - type: euclidean_accuracy
-      value: 81.10449377368705
+      value: 83.48673524634542
     - type: euclidean_ap
-      value: 85.15515844935794
+      value: 86.97066512426397
     - type: euclidean_f1
-      value: 82.96860133206471
+      value: 84.4467108618052
     - type: euclidean_precision
-      value: 75.4978354978355
+      value: 81.65680473372781
     - type: euclidean_recall
-      value: 92.08025343189018
+      value: 87.43400211193241
     - type: manhattan_accuracy
-      value: 81.10449377368705
+      value: 83.27016783974011
     - type: manhattan_ap
-      value: 85.1260027067541
+      value: 86.97839108799026
     - type: manhattan_f1
-      value: 82.93384467881111
+      value: 84.24273329933708
     - type: manhattan_precision
-      value: 75.94381035996489
+      value: 81.4595660749507
     - type: manhattan_recall
-      value: 91.34107708553326
+      value: 87.22280887011615
     - type: max_accuracy
-      value: 81.10449377368705
+      value: 83.48673524634542
     - type: max_ap
-      value: 85.15661533065932
+      value: 86.97839108799026
     - type: max_f1
-      value: 82.98479087452472
+      value: 84.4467108618052
   - task:
       type: Classification
     dataset:
@@ -763,11 +763,11 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 93.71000000000001
+      value: 94.58
     - type: ap
-      value: 91.83202232349356
+      value: 92.67235771989334
     - type: f1
-      value: 93.69900560334331
+      value: 94.56749048144864
   - task:
       type: STS
     dataset:
@@ -778,17 +778,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 39.12276072181213
+      value: 41.13075780508077
     - type: cos_sim_spearman
-      value: 45.47002950875883
+      value: 46.23023927864047
     - type: euclidean_pearson
-      value: 44.82137309399524
+      value: 45.8745816995021
     - type: euclidean_spearman
-      value: 45.46811344101213
+      value: 46.230234996511186
     - type: manhattan_pearson
-      value: 44.828762191664694
+      value: 45.87257756266397
     - type: manhattan_spearman
-      value: 45.48971275015666
+      value: 46.23023501384774
   - task:
       type: STS
     dataset:
@@ -799,17 +799,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 34.24312789444651
+      value: 44.584801951997676
     - type: cos_sim_spearman
-      value: 37.31008735675408
+      value: 45.80390449641642
     - type: euclidean_pearson
-      value: 35.12756687070336
+      value: 41.235476712471055
     - type: euclidean_spearman
-      value: 37.30862222238361
+      value: 45.80391504205642
     - type: manhattan_pearson
-      value: 35.08734520176313
+      value: 41.282727075778766
     - type: manhattan_spearman
-      value: 37.25663009244228
+      value: 45.80885691191199
   - task:
       type: STS
     dataset:
@@ -820,17 +820,17 @@ model-index:
       revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
     metrics:
     - type: cos_sim_pearson
-      value: 61.30477884469
+      value: 60.07699182332446
     - type: cos_sim_spearman
-      value: 65.86475705722457
+      value: 61.30742120893451
     - type: euclidean_pearson
-      value: 64.06391333268994
+      value: 57.975507370373805
     - type: euclidean_spearman
-      value: 65.86335860593772
+      value: 61.30742120893451
     - type: manhattan_pearson
-      value: 64.01127637711839
+      value: 57.981532129657566
     - type: manhattan_spearman
-      value: 65.87720920117906
+      value: 61.35516394120813
   - task:
       type: STS
     dataset:
@@ -841,17 +841,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 81.55425529217757
+      value: 77.33873897664922
     - type: cos_sim_spearman
-      value: 82.72308414906433
+      value: 78.48046279063745
     - type: euclidean_pearson
-      value: 82.4891240865874
+      value: 78.22561405005021
     - type: euclidean_spearman
-      value: 82.72120335429314
+      value: 78.48054253550603
     - type: manhattan_pearson
-      value: 82.4768946184714
+      value: 78.15799842348594
     - type: manhattan_spearman
-      value: 82.71021690525912
+      value: 78.4163953888659
   - task:
       type: Reranking
     dataset:
@@ -862,9 +862,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 66.62441330068313
+      value: 66.75988051767987
     - type: mrr
-      value: 76.4081189347777
+      value: 77.18975346852801
   - task:
       type: Retrieval
     dataset:
@@ -875,65 +875,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 27.883000000000003
+      value: 26.873
     - type: map_at_10
-      value: 77.525
+      value: 75.21900000000001
     - type: map_at_100
-      value: 81.144
+      value: 78.94200000000001
     - type: map_at_1000
-      value: 81.21000000000001
+      value: 79.01599999999999
     - type: map_at_3
-      value: 54.730000000000004
+      value: 52.885000000000005
     - type: map_at_5
-      value: 67.136
+      value: 65.062
     - type: mrr_at_1
-      value: 90.527
+      value: 88.646
     - type: mrr_at_10
-      value: 92.971
+      value: 91.604
     - type: mrr_at_100
-      value: 93.052
+      value: 91.69500000000001
     - type: mrr_at_1000
-      value: 93.05499999999999
+      value: 91.69800000000001
     - type: mrr_at_3
-      value: 92.557
+      value: 91.115
     - type: mrr_at_5
-      value: 92.81700000000001
+      value: 91.444
     - type: ndcg_at_1
-      value: 90.527
+      value: 88.646
     - type: ndcg_at_10
-      value: 85.08200000000001
+      value: 83.19800000000001
     - type: ndcg_at_100
-      value: 88.65899999999999
+      value: 87.04899999999999
     - type: ndcg_at_1000
-      value: 89.25999999999999
+      value: 87.754
     - type: ndcg_at_3
-      value: 86.586
+      value: 84.63199999999999
     - type: ndcg_at_5
-      value: 85.14699999999999
+      value: 83.295
     - type: precision_at_1
-      value: 90.527
+      value: 88.646
     - type: precision_at_10
-      value: 42.054
+      value: 41.339
     - type: precision_at_100
-      value: 5.013999999999999
+      value: 4.977
     - type: precision_at_1000
-      value: 0.516
+      value: 0.515
     - type: precision_at_3
-      value: 75.55199999999999
+      value: 74.009
     - type: precision_at_5
-      value: 63.249
+      value: 62.104000000000006
     - type: recall_at_1
-      value: 27.883000000000003
+      value: 26.873
     - type: recall_at_10
-      value: 83.949
+      value: 82.268
     - type: recall_at_100
-      value: 95.568
+      value: 94.675
     - type: recall_at_1000
-      value: 98.547
+      value: 98.226
     - type: recall_at_3
-      value: 56.374
+      value: 54.761
     - type: recall_at_5
-      value: 70.44200000000001
+      value: 68.905
   - task:
       type: Classification
     dataset:
@@ -944,9 +944,9 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 53.689
+      value: 54.498000000000005
     - type: f1
-      value: 51.87029846425533
+      value: 52.67480963825165
   - task:
       type: Clustering
     dataset:
@@ -957,7 +957,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 75.13107992170329
+      value: 71.20219333478684
   - task:
       type: Clustering
     dataset:
@@ -968,7 +968,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 69.32221171095146
+      value: 68.2649587922088
   - task:
       type: Retrieval
     dataset:
@@ -979,65 +979,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 59.4
+      value: 56.39999999999999
     - type: map_at_10
-      value: 69.199
+      value: 66.245
     - type: map_at_100
-      value: 69.724
+      value: 66.838
     - type: map_at_1000
-      value: 69.73899999999999
+      value: 66.849
     - type: map_at_3
-      value: 67.717
+      value: 64.533
     - type: map_at_5
-      value: 68.777
+      value: 65.593
     - type: mrr_at_1
-      value: 59.3
+      value: 56.39999999999999
     - type: mrr_at_10
-      value: 69.149
+      value: 66.245
     - type: mrr_at_100
-      value: 69.674
+      value: 66.838
     - type: mrr_at_1000
-      value: 69.68900000000001
+      value: 66.849
     - type: mrr_at_3
-      value: 67.667
+      value: 64.533
     - type: mrr_at_5
-      value: 68.727
+      value: 65.593
     - type: ndcg_at_1
-      value: 59.4
+      value: 56.39999999999999
     - type: ndcg_at_10
-      value: 73.29
+      value: 70.575
     - type: ndcg_at_100
-      value: 75.589
+      value: 73.324
     - type: ndcg_at_1000
-      value: 75.985
+      value: 73.617
     - type: ndcg_at_3
-      value: 70.339
+      value: 67.147
     - type: ndcg_at_5
-      value: 72.241
+      value: 69.05
     - type: precision_at_1
-      value: 59.4
+      value: 56.39999999999999
     - type: precision_at_10
-      value: 8.58
+      value: 8.39
     - type: precision_at_100
-      value: 0.96
+      value: 0.964
     - type: precision_at_1000
       value: 0.099
     - type: precision_at_3
-      value: 25.967000000000002
+      value: 24.9
     - type: precision_at_5
-      value: 16.5
+      value: 15.86
     - type: recall_at_1
-      value: 59.4
+      value: 56.39999999999999
     - type: recall_at_10
-      value: 85.8
+      value: 83.89999999999999
     - type: recall_at_100
-      value: 96.0
+      value: 96.39999999999999
     - type: recall_at_1000
-      value: 99.1
+      value: 98.7
     - type: recall_at_3
-      value: 77.9
+      value: 74.7
     - type: recall_at_5
-      value: 82.5
+      value: 79.3
   - task:
       type: Classification
     dataset:
@@ -1048,11 +1048,11 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 88.53
+      value: 89.63000000000001
     - type: ap
-      value: 73.56216166534062
+      value: 75.78836247276601
     - type: f1
-      value: 87.06093694294485
+      value: 88.24687781823513
 ---
 
 ### 使用方法