Update README.md

README.md

@@ -14,17 +14,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 57.03519449697447
+      value: 57.37728676415047
     - type: cos_sim_spearman
-      value: 61.05687780613
+      value: 60.89131895307699
     - type: euclidean_pearson
-      value: 59.92928475064863
+      value: 60.056754800315595
     - type: euclidean_spearman
-      value: 61.05685769955894
+      value: 60.891479787418966
     - type: manhattan_pearson
-      value: 59.91091069371023
+      value: 60.03850823371572
     - type: manhattan_spearman
-      value: 61.01906162919386
+      value: 60.8597150048781
   - task:
       type: STS
     dataset:
@@ -35,17 +35,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 56.81511631314823
+      value: 57.29704921148904
     - type: cos_sim_spearman
-      value: 59.017410073656826
+      value: 58.81607331373972
     - type: euclidean_pearson
-      value: 63.44414716754522
+      value: 63.69251756281332
     - type: euclidean_spearman
-      value: 59.017407821544175
+      value: 58.81608232068536
     - type: manhattan_pearson
-      value: 63.4171455580894
+      value: 63.665668138742284
     - type: manhattan_spearman
-      value: 59.00005143754492
+      value: 58.80224314871406
   - task:
       type: Classification
     dataset:
@@ -56,9 +56,9 @@ model-index:
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
-      value: 49.28
+      value: 49.672
     - type: f1
-      value: 46.84433761170775
+      value: 47.27737512126165
   - task:
       type: STS
     dataset:
@@ -69,17 +69,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 71.06047581825707
+      value: 71.65025725548176
     - type: cos_sim_spearman
-      value: 72.63091479940526
+      value: 72.53278026251562
     - type: euclidean_pearson
-      value: 71.33861457006756
+      value: 71.29771814474996
     - type: euclidean_spearman
-      value: 72.63091479809789
+      value: 72.53241999594584
     - type: manhattan_pearson
-      value: 71.3148241099811
+      value: 71.29290351258575
     - type: manhattan_spearman
-      value: 72.60884847026323
+      value: 72.52505531587519
   - task:
       type: Clustering
     dataset:
@@ -90,7 +90,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 55.11593452044331
+      value: 60.19892651814847
   - task:
       type: Clustering
     dataset:
@@ -101,7 +101,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 45.0556727269734
+      value: 58.39897986042561
   - task:
       type: Reranking
     dataset:
@@ -112,9 +112,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 88.88589952904408
+      value: 88.73563192647498
     - type: mrr
-      value: 90.94142857142857
+      value: 91.00214285714286
   - task:
       type: Reranking
     dataset:
@@ -125,9 +125,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 89.98162054042666
+      value: 89.42396184634322
     - type: mrr
-      value: 92.06119047619048
+      value: 91.90503968253968
   - task:
       type: Retrieval
     dataset:
@@ -138,65 +138,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.99
+      value: 26.950000000000003
     - type: map_at_10
-      value: 40.187
+      value: 39.982
     - type: map_at_100
-      value: 42.057
+      value: 41.844
     - type: map_at_1000
-      value: 42.156
+      value: 41.948
     - type: map_at_3
-      value: 35.704
+      value: 35.664
     - type: map_at_5
-      value: 38.307
+      value: 38.061
     - type: mrr_at_1
-      value: 40.835
+      value: 41.11
     - type: mrr_at_10
-      value: 49.207
+      value: 49.183
     - type: mrr_at_100
-      value: 50.163999999999994
+      value: 50.166999999999994
     - type: mrr_at_1000
-      value: 50.2
+      value: 50.205999999999996
     - type: mrr_at_3
-      value: 46.649
+      value: 46.778
     - type: mrr_at_5
-      value: 48.082
+      value: 48.120000000000005
     - type: ndcg_at_1
-      value: 40.835
+      value: 41.11
     - type: ndcg_at_10
-      value: 46.976
+      value: 46.678
     - type: ndcg_at_100
-      value: 54.162
+      value: 53.876000000000005
     - type: ndcg_at_1000
-      value: 55.84
+      value: 55.627
     - type: ndcg_at_3
-      value: 41.417
+      value: 41.429
     - type: ndcg_at_5
-      value: 43.864999999999995
+      value: 43.551
     - type: precision_at_1
-      value: 40.835
+      value: 41.11
     - type: precision_at_10
-      value: 10.403
+      value: 10.325
     - type: precision_at_100
-      value: 1.6219999999999999
+      value: 1.6119999999999999
     - type: precision_at_1000
       value: 0.184
     - type: precision_at_3
-      value: 23.473
+      value: 23.498
     - type: precision_at_5
-      value: 17.094
+      value: 16.894000000000002
     - type: recall_at_1
-      value: 26.99
+      value: 26.950000000000003
     - type: recall_at_10
-      value: 57.949
+      value: 57.239
     - type: recall_at_100
-      value: 87.578
+      value: 86.9
     - type: recall_at_1000
-      value: 98.741
+      value: 98.581
     - type: recall_at_3
-      value: 41.244
+      value: 41.221000000000004
     - type: recall_at_5
-      value: 48.727
+      value: 47.976
   - task:
       type: PairClassification
     dataset:
@@ -207,51 +207,51 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_accuracy
-      value: 85.07516536380037
+      value: 86.13968597726043
     - type: cos_sim_ap
-      value: 92.05034893565924
+      value: 90.86724630443385
     - type: cos_sim_f1
-      value: 85.86387434554975
+      value: 86.9653767820774
     - type: cos_sim_precision
-      value: 82.0
+      value: 83.9724680432645
     - type: cos_sim_recall
-      value: 90.10989010989012
+      value: 90.17951425554382
     - type: dot_accuracy
-      value: 85.07516536380037
+      value: 86.13968597726043
     - type: dot_ap
-      value: 92.05615563994219
+      value: 90.85181504536696
     - type: dot_f1
-      value: 85.86387434554975
+      value: 86.9653767820774
     - type: dot_precision
-      value: 82.0
+      value: 83.9724680432645
     - type: dot_recall
-      value: 90.10989010989012
+      value: 90.17951425554382
     - type: euclidean_accuracy
-      value: 85.07516536380037
+      value: 86.13968597726043
     - type: euclidean_ap
-      value: 92.05034675223959
+      value: 90.86657368513809
     - type: euclidean_f1
-      value: 85.86387434554975
+      value: 86.95208970438327
     - type: euclidean_precision
-      value: 82.0
+      value: 84.03940886699507
     - type: euclidean_recall
-      value: 90.10989010989012
+      value: 90.07391763463569
     - type: manhattan_accuracy
-      value: 85.13529765484064
+      value: 85.97726042230644
     - type: manhattan_ap
-      value: 92.02926780269996
+      value: 90.85259484237685
     - type: manhattan_f1
-      value: 85.87722240858771
+      value: 86.79435483870968
     - type: manhattan_precision
-      value: 82.29747106729532
+      value: 83.02796528447445
     - type: manhattan_recall
-      value: 89.78255786766425
+      value: 90.91869060190075
     - type: max_accuracy
-      value: 85.13529765484064
+      value: 86.13968597726043
     - type: max_ap
-      value: 92.05615563994219
+      value: 90.86724630443385
     - type: max_f1
-      value: 85.87722240858771
+      value: 86.9653767820774
   - task:
       type: Retrieval
     dataset:
@@ -262,65 +262,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 68.072
+      value: 73.34
     - type: map_at_10
-      value: 76.31700000000001
+      value: 81.722
     - type: map_at_100
-      value: 76.667
+      value: 81.916
     - type: map_at_1000
-      value: 76.671
+      value: 81.919
     - type: map_at_3
-      value: 74.52600000000001
+      value: 80.25999999999999
     - type: map_at_5
-      value: 75.689
+      value: 81.11699999999999
     - type: mrr_at_1
-      value: 68.282
+      value: 73.551
     - type: mrr_at_10
-      value: 76.363
+      value: 81.727
     - type: mrr_at_100
-      value: 76.685
+      value: 81.911
     - type: mrr_at_1000
-      value: 76.688
+      value: 81.914
     - type: mrr_at_3
-      value: 74.517
+      value: 80.242
     - type: mrr_at_5
-      value: 75.75
+      value: 81.149
     - type: ndcg_at_1
-      value: 68.282
+      value: 73.551
     - type: ndcg_at_10
-      value: 80.123
+      value: 85.244
     - type: ndcg_at_100
-      value: 81.647
+      value: 86.005
     - type: ndcg_at_1000
-      value: 81.784
+      value: 86.084
     - type: ndcg_at_3
-      value: 76.595
+      value: 82.334
     - type: ndcg_at_5
-      value: 78.689
+      value: 83.878
     - type: precision_at_1
-      value: 68.282
+      value: 73.551
     - type: precision_at_10
-      value: 9.252
+      value: 9.705
     - type: precision_at_100
-      value: 0.997
+      value: 1.0030000000000001
     - type: precision_at_1000
       value: 0.101
     - type: precision_at_3
-      value: 27.643
+      value: 29.645
     - type: precision_at_5
-      value: 17.64
+      value: 18.567
     - type: recall_at_1
-      value: 68.072
+      value: 73.34
     - type: recall_at_10
-      value: 91.807
+      value: 96.048
     - type: recall_at_100
-      value: 98.63
+      value: 99.262
     - type: recall_at_1000
-      value: 99.789
+      value: 99.895
     - type: recall_at_3
-      value: 82.50800000000001
+      value: 88.303
     - type: recall_at_5
-      value: 87.53999999999999
+      value: 91.99199999999999
   - task:
       type: Retrieval
     dataset:
@@ -331,65 +331,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.511000000000003
+      value: 26.506
     - type: map_at_10
-      value: 81.28699999999999
+      value: 81.29899999999999
     - type: map_at_100
-      value: 84.028
+      value: 83.997
     - type: map_at_1000
-      value: 84.062
+      value: 84.03399999999999
     - type: map_at_3
-      value: 56.821
+      value: 56.69
     - type: map_at_5
-      value: 71.474
+      value: 71.389
     - type: mrr_at_1
-      value: 91.55
+      value: 91.10000000000001
     - type: mrr_at_10
-      value: 94.109
+      value: 93.952
     - type: mrr_at_100
-      value: 94.182
+      value: 94.00500000000001
     - type: mrr_at_1000
-      value: 94.18299999999999
+      value: 94.00699999999999
     - type: mrr_at_3
-      value: 93.833
+      value: 93.683
     - type: mrr_at_5
-      value: 94.041
+      value: 93.858
     - type: ndcg_at_1
-      value: 91.55
+      value: 91.10000000000001
     - type: ndcg_at_10
-      value: 88.24300000000001
+      value: 88.25699999999999
     - type: ndcg_at_100
-      value: 90.928
+      value: 90.84100000000001
     - type: ndcg_at_1000
-      value: 91.221
+      value: 91.167
     - type: ndcg_at_3
-      value: 87.558
+      value: 87.595
     - type: ndcg_at_5
-      value: 86.39099999999999
+      value: 86.346
     - type: precision_at_1
-      value: 91.55
+      value: 91.10000000000001
     - type: precision_at_10
-      value: 41.959999999999994
+      value: 42.04
     - type: precision_at_100
-      value: 4.812
+      value: 4.804
     - type: precision_at_1000
       value: 0.48900000000000005
     - type: precision_at_3
-      value: 78.38300000000001
+      value: 78.583
     - type: precision_at_5
-      value: 66.02
+      value: 66.09
     - type: recall_at_1
-      value: 26.511000000000003
+      value: 26.506
     - type: recall_at_10
-      value: 88.98
+      value: 89.12299999999999
     - type: recall_at_100
-      value: 97.941
+      value: 97.717
     - type: recall_at_1000
-      value: 99.367
+      value: 99.285
     - type: recall_at_3
-      value: 58.813
+      value: 58.865
     - type: recall_at_5
-      value: 75.69500000000001
+      value: 75.753
   - task:
       type: Retrieval
     dataset:
@@ -402,63 +402,63 @@ model-index:
     - type: map_at_1
       value: 52.7
     - type: map_at_10
-      value: 62.28399999999999
+      value: 62.239
     - type: map_at_100
-      value: 62.827
+      value: 62.744
     - type: map_at_1000
-      value: 62.842
+      value: 62.755
     - type: map_at_3
-      value: 59.917
+      value: 59.75
     - type: map_at_5
-      value: 61.327
+      value: 61.050000000000004
     - type: mrr_at_1
       value: 52.7
     - type: mrr_at_10
-      value: 62.28399999999999
+      value: 62.239
     - type: mrr_at_100
-      value: 62.827
+      value: 62.744
     - type: mrr_at_1000
-      value: 62.842
+      value: 62.755
     - type: mrr_at_3
-      value: 59.917
+      value: 59.75
     - type: mrr_at_5
-      value: 61.327
+      value: 61.050000000000004
     - type: ndcg_at_1
       value: 52.7
     - type: ndcg_at_10
-      value: 67.128
+      value: 67.23
     - type: ndcg_at_100
-      value: 69.74900000000001
+      value: 69.729
     - type: ndcg_at_1000
-      value: 70.108
+      value: 70.00999999999999
     - type: ndcg_at_3
-      value: 62.251
+      value: 62.025
     - type: ndcg_at_5
-      value: 64.84100000000001
+      value: 64.37
     - type: precision_at_1
       value: 52.7
     - type: precision_at_10
-      value: 8.24
+      value: 8.309999999999999
     - type: precision_at_100
-      value: 0.946
+      value: 0.9490000000000001
     - type: precision_at_1000
       value: 0.097
     - type: precision_at_3
-      value: 23.0
+      value: 22.867
     - type: precision_at_5
-      value: 15.079999999999998
+      value: 14.860000000000001
     - type: recall_at_1
       value: 52.7
     - type: recall_at_10
-      value: 82.39999999999999
+      value: 83.1
     - type: recall_at_100
-      value: 94.6
+      value: 94.89999999999999
     - type: recall_at_1000
-      value: 97.39999999999999
+      value: 97.1
     - type: recall_at_3
-      value: 69.0
+      value: 68.60000000000001
     - type: recall_at_5
-      value: 75.4
+      value: 74.3
   - task:
       type: Classification
     dataset:
@@ -469,9 +469,9 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 52.751058099268946
+      value: 52.64332435552135
     - type: f1
-      value: 42.08257079453902
+      value: 42.17147347490132
   - task:
       type: Classification
     dataset:
@@ -482,11 +482,11 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 88.29268292682926
+      value: 87.5984990619137
     - type: ap
-      value: 58.92380933786006
+      value: 57.59814850574554
     - type: f1
-      value: 83.38194360730576
+      value: 82.62140959655022
   - task:
       type: STS
     dataset:
@@ -497,17 +497,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 74.20476238217833
+      value: 74.58027418203673
     - type: cos_sim_spearman
-      value: 79.30229178361162
+      value: 79.19473724464046
     - type: euclidean_pearson
-      value: 79.24335190560299
+      value: 79.2941422188887
     - type: euclidean_spearman
-      value: 79.30229178105364
+      value: 79.1944889378359
     - type: manhattan_pearson
-      value: 79.22468300467371
+      value: 79.26535092062532
     - type: manhattan_spearman
-      value: 79.29290711369052
+      value: 79.17298822899023
   - task:
       type: Reranking
     dataset:
@@ -518,9 +518,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 31.85453315055195
+      value: 31.611379937191025
     - type: mrr
-      value: 30.61468253968254
+      value: 30.88968253968254
   - task:
       type: Retrieval
     dataset:
@@ -531,65 +531,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 66.671
+      value: 65.603
     - type: map_at_10
-      value: 75.656
+      value: 74.834
     - type: map_at_100
-      value: 75.978
+      value: 75.16199999999999
     - type: map_at_1000
-      value: 75.99000000000001
+      value: 75.17399999999999
     - type: map_at_3
-      value: 73.80499999999999
+      value: 72.979
     - type: map_at_5
-      value: 75.023
+      value: 74.154
     - type: mrr_at_1
-      value: 68.95400000000001
+      value: 67.837
     - type: mrr_at_10
-      value: 76.25
+      value: 75.46199999999999
     - type: mrr_at_100
-      value: 76.534
+      value: 75.751
     - type: mrr_at_1000
-      value: 76.545
+      value: 75.762
     - type: mrr_at_3
-      value: 74.632
+      value: 73.832
     - type: mrr_at_5
-      value: 75.69500000000001
+      value: 74.875
     - type: ndcg_at_1
-      value: 68.95400000000001
+      value: 67.837
     - type: ndcg_at_10
-      value: 79.293
+      value: 78.636
     - type: ndcg_at_100
-      value: 80.709
+      value: 80.083
     - type: ndcg_at_1000
-      value: 81.00500000000001
+      value: 80.394
     - type: ndcg_at_3
-      value: 75.815
+      value: 75.12
     - type: ndcg_at_5
-      value: 77.861
+      value: 77.12
     - type: precision_at_1
-      value: 68.95400000000001
+      value: 67.837
     - type: precision_at_10
-      value: 9.559
+      value: 9.536999999999999
     - type: precision_at_100
-      value: 1.026
+      value: 1.0250000000000001
     - type: precision_at_1000
       value: 0.105
     - type: precision_at_3
-      value: 28.486
+      value: 28.352
     - type: precision_at_5
-      value: 18.178
+      value: 18.074
     - type: recall_at_1
-      value: 66.671
+      value: 65.603
     - type: recall_at_10
-      value: 89.904
+      value: 89.704
     - type: recall_at_100
-      value: 96.243
+      value: 96.2
     - type: recall_at_1000
-      value: 98.55199999999999
+      value: 98.588
     - type: recall_at_3
-      value: 80.778
+      value: 80.444
     - type: recall_at_5
-      value: 85.611
+      value: 85.205
   - task:
       type: Classification
     dataset:
@@ -600,9 +600,9 @@ model-index:
       revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
     metrics:
     - type: accuracy
-      value: 77.64290517821115
+      value: 77.43106926698049
     - type: f1
-      value: 74.45829057694098
+      value: 73.96808004721824
   - task:
       type: Classification
     dataset:
@@ -613,9 +613,9 @@ model-index:
       revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
-      value: 85.09751176866173
+      value: 83.86684599865501
     - type: f1
-      value: 84.27719445179089
+      value: 83.05645257324346
   - task:
       type: Retrieval
     dataset:
@@ -626,65 +626,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 54.7
+      value: 55.00000000000001
     - type: map_at_10
-      value: 61.422
+      value: 61.129
     - type: map_at_100
-      value: 61.870999999999995
+      value: 61.61
     - type: map_at_1000
-      value: 61.917
+      value: 61.655
     - type: map_at_3
-      value: 59.833000000000006
+      value: 59.533
     - type: map_at_5
-      value: 60.663
+      value: 60.478
     - type: mrr_at_1
       value: 54.900000000000006
     - type: mrr_at_10
-      value: 61.539
+      value: 61.090999999999994
     - type: mrr_at_100
-      value: 61.988
+      value: 61.562
     - type: mrr_at_1000
-      value: 62.034
+      value: 61.608
     - type: mrr_at_3
-      value: 59.95
+      value: 59.483
     - type: mrr_at_5
-      value: 60.78
+      value: 60.428000000000004
     - type: ndcg_at_1
-      value: 54.7
+      value: 55.00000000000001
     - type: ndcg_at_10
-      value: 64.816
+      value: 64.288
     - type: ndcg_at_100
-      value: 67.27499999999999
+      value: 66.991
     - type: ndcg_at_1000
-      value: 68.518
+      value: 68.27
     - type: ndcg_at_3
-      value: 61.446999999999996
+      value: 61.014
     - type: ndcg_at_5
-      value: 62.937
+      value: 62.68899999999999
     - type: precision_at_1
-      value: 54.7
+      value: 55.00000000000001
     - type: precision_at_10
-      value: 7.5600000000000005
+      value: 7.430000000000001
     - type: precision_at_100
       value: 0.878
     - type: precision_at_1000
       value: 0.098
     - type: precision_at_3
-      value: 22.033
+      value: 21.767
     - type: precision_at_5
-      value: 13.94
+      value: 13.86
     - type: recall_at_1
-      value: 54.7
+      value: 55.00000000000001
     - type: recall_at_10
-      value: 75.6
+      value: 74.3
     - type: recall_at_100
       value: 87.8
     - type: recall_at_1000
-      value: 97.6
+      value: 98.0
     - type: recall_at_3
-      value: 66.10000000000001
+      value: 65.3
     - type: recall_at_5
-      value: 69.69999999999999
+      value: 69.3
   - task:
       type: Classification
     dataset:
@@ -695,9 +695,9 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 78.61666666666667
+      value: 78.48333333333333
     - type: f1
-      value: 78.46001064447016
+      value: 78.36516159631131
   - task:
       type: PairClassification
     dataset:
@@ -708,51 +708,51 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_accuracy
-      value: 83.48673524634542
+      value: 86.13968597726043
     - type: cos_sim_ap
-      value: 86.97066512426397
+      value: 90.86724630443385
     - type: cos_sim_f1
-      value: 84.4467108618052
+      value: 86.9653767820774
     - type: cos_sim_precision
-      value: 81.65680473372781
+      value: 83.9724680432645
     - type: cos_sim_recall
-      value: 87.43400211193241
+      value: 90.17951425554382
     - type: dot_accuracy
-      value: 83.48673524634542
+      value: 86.13968597726043
     - type: dot_ap
-      value: 86.97070037115512
+      value: 90.85181504536696
     - type: dot_f1
-      value: 84.4467108618052
+      value: 86.9653767820774
     - type: dot_precision
-      value: 81.65680473372781
+      value: 83.9724680432645
     - type: dot_recall
-      value: 87.43400211193241
+      value: 90.17951425554382
     - type: euclidean_accuracy
-      value: 83.48673524634542
+      value: 86.13968597726043
     - type: euclidean_ap
-      value: 86.97066512426397
+      value: 90.86657368513809
     - type: euclidean_f1
-      value: 84.4467108618052
+      value: 86.95208970438327
     - type: euclidean_precision
-      value: 81.65680473372781
+      value: 84.03940886699507
     - type: euclidean_recall
-      value: 87.43400211193241
+      value: 90.07391763463569
     - type: manhattan_accuracy
-      value: 83.27016783974011
+      value: 85.97726042230644
     - type: manhattan_ap
-      value: 86.97839108799026
+      value: 90.85259484237685
     - type: manhattan_f1
-      value: 84.24273329933708
+      value: 86.79435483870968
     - type: manhattan_precision
-      value: 81.4595660749507
+      value: 83.02796528447445
     - type: manhattan_recall
-      value: 87.22280887011615
+      value: 90.91869060190075
     - type: max_accuracy
-      value: 83.48673524634542
+      value: 86.13968597726043
     - type: max_ap
-      value: 86.97839108799026
+      value: 90.86724630443385
     - type: max_f1
-      value: 84.4467108618052
+      value: 86.9653767820774
   - task:
       type: Classification
     dataset:
@@ -763,11 +763,11 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 94.58
+      value: 94.33999999999999
     - type: ap
-      value: 92.67235771989334
+      value: 92.566213965377
     - type: f1
-      value: 94.56749048144864
+      value: 94.32981412505542
   - task:
       type: STS
     dataset:
@@ -778,17 +778,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 41.13075780508077
+      value: 40.59979992480721
     - type: cos_sim_spearman
-      value: 46.23023927864047
+      value: 45.80272854477526
     - type: euclidean_pearson
-      value: 45.8745816995021
+      value: 45.51435650601272
     - type: euclidean_spearman
-      value: 46.230234996511186
+      value: 45.80481880049892
     - type: manhattan_pearson
-      value: 45.87257756266397
+      value: 45.50783698090448
     - type: manhattan_spearman
-      value: 46.23023501384774
+      value: 45.7962835896273
   - task:
       type: STS
     dataset:
@@ -799,17 +799,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 44.584801951997676
+      value: 41.95530336245604
     - type: cos_sim_spearman
-      value: 45.80390449641642
+      value: 43.94205325290135
     - type: euclidean_pearson
-      value: 41.235476712471055
+      value: 38.01893281522651
     - type: euclidean_spearman
-      value: 45.80391504205642
+      value: 43.9411389356089
     - type: manhattan_pearson
-      value: 41.282727075778766
+      value: 38.158512461951446
     - type: manhattan_spearman
-      value: 45.80885691191199
+      value: 44.055211140130815
   - task:
       type: STS
     dataset:
@@ -820,17 +820,17 @@ model-index:
       revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
     metrics:
     - type: cos_sim_pearson
-      value: 60.07699182332446
+      value: 63.64131281514482
     - type: cos_sim_spearman
-      value: 61.30742120893451
+      value: 65.17753570208333
     - type: euclidean_pearson
-      value: 57.975507370373805
+      value: 62.72868744500848
     - type: euclidean_spearman
-      value: 61.30742120893451
+      value: 65.17730738350589
     - type: manhattan_pearson
-      value: 57.981532129657566
+      value: 62.76099444782981
     - type: manhattan_spearman
-      value: 61.35516394120813
+      value: 65.2421498595002
   - task:
       type: STS
     dataset:
@@ -841,17 +841,17 @@ model-index:
       revision: None
     metrics:
     - type: cos_sim_pearson
-      value: 77.33873897664922
+      value: 79.15762053490425
     - type: cos_sim_spearman
-      value: 78.48046279063745
+      value: 79.47824157657848
     - type: euclidean_pearson
-      value: 78.22561405005021
+      value: 79.11217669696227
     - type: euclidean_spearman
-      value: 78.48054253550603
+      value: 79.47857091559331
     - type: manhattan_pearson
-      value: 78.15799842348594
+      value: 79.07701011877683
     - type: manhattan_spearman
-      value: 78.4163953888659
+      value: 79.43942682897884
   - task:
       type: Reranking
     dataset:
@@ -862,9 +862,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 66.75988051767987
+      value: 67.45068053105526
     - type: mrr
-      value: 77.18975346852801
+      value: 77.63560439973777
   - task:
       type: Retrieval
     dataset:
@@ -875,65 +875,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.873
+      value: 27.837
     - type: map_at_10
-      value: 75.21900000000001
+      value: 77.803
     - type: map_at_100
-      value: 78.94200000000001
+      value: 81.402
     - type: map_at_1000
-      value: 79.01599999999999
+      value: 81.464
     - type: map_at_3
-      value: 52.885000000000005
+      value: 54.879
     - type: map_at_5
-      value: 65.062
+      value: 67.32900000000001
     - type: mrr_at_1
-      value: 88.646
+      value: 90.584
     - type: mrr_at_10
-      value: 91.604
+      value: 93.059
     - type: mrr_at_100
-      value: 91.69500000000001
+      value: 93.135
     - type: mrr_at_1000
-      value: 91.69800000000001
+      value: 93.138
     - type: mrr_at_3
-      value: 91.115
+      value: 92.659
     - type: mrr_at_5
-      value: 91.444
+      value: 92.914
     - type: ndcg_at_1
-      value: 88.646
+      value: 90.584
     - type: ndcg_at_10
-      value: 83.19800000000001
+      value: 85.29299999999999
     - type: ndcg_at_100
-      value: 87.04899999999999
+      value: 88.824
     - type: ndcg_at_1000
-      value: 87.754
+      value: 89.4
     - type: ndcg_at_3
-      value: 84.63199999999999
+      value: 86.79599999999999
     - type: ndcg_at_5
-      value: 83.295
+      value: 85.353
     - type: precision_at_1
-      value: 88.646
+      value: 90.584
     - type: precision_at_10
-      value: 41.339
+      value: 42.191
     - type: precision_at_100
-      value: 4.977
+      value: 5.0200000000000005
     - type: precision_at_1000
-      value: 0.515
+      value: 0.516
     - type: precision_at_3
-      value: 74.009
+      value: 75.785
     - type: precision_at_5
-      value: 62.104000000000006
+      value: 63.417
     - type: recall_at_1
-      value: 26.873
+      value: 27.837
     - type: recall_at_10
-      value: 82.268
+      value: 84.21600000000001
     - type: recall_at_100
-      value: 94.675
+      value: 95.719
     - type: recall_at_1000
-      value: 98.226
+      value: 98.565
     - type: recall_at_3
-      value: 54.761
+      value: 56.574999999999996
     - type: recall_at_5
-      value: 68.905
+      value: 70.682
   - task:
       type: Classification
     dataset:
@@ -944,9 +944,9 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 54.498000000000005
+      value: 54.37
     - type: f1
-      value: 52.67480963825165
+      value: 52.57500124627352
   - task:
       type: Clustering
     dataset:
@@ -957,7 +957,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 71.20219333478684
+      value: 76.9781904739968
   - task:
       type: Clustering
     dataset:
@@ -968,7 +968,7 @@ model-index:
       revision: None
     metrics:
     - type: v_measure
-      value: 68.2649587922088
+      value: 69.82661181746705
   - task:
       type: Retrieval
     dataset:
@@ -979,65 +979,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 56.39999999999999
+      value: 58.699999999999996
     - type: map_at_10
-      value: 66.245
+      value: 68.512
     - type: map_at_100
-      value: 66.838
+      value: 69.018
     - type: map_at_1000
-      value: 66.849
+      value: 69.028
     - type: map_at_3
-      value: 64.533
+      value: 66.51700000000001
     - type: map_at_5
-      value: 65.593
+      value: 67.91199999999999
     - type: mrr_at_1
-      value: 56.39999999999999
+      value: 58.599999999999994
     - type: mrr_at_10
-      value: 66.245
+      value: 68.462
     - type: mrr_at_100
-      value: 66.838
+      value: 68.96799999999999
     - type: mrr_at_1000
-      value: 66.849
+      value: 68.978
     - type: mrr_at_3
-      value: 64.533
+      value: 66.467
     - type: mrr_at_5
-      value: 65.593
+      value: 67.862
     - type: ndcg_at_1
-      value: 56.39999999999999
+      value: 58.699999999999996
     - type: ndcg_at_10
-      value: 70.575
+      value: 72.88900000000001
     - type: ndcg_at_100
-      value: 73.324
+      value: 75.262
     - type: ndcg_at_1000
-      value: 73.617
+      value: 75.48700000000001
     - type: ndcg_at_3
-      value: 67.147
+      value: 68.96
     - type: ndcg_at_5
-      value: 69.05
+      value: 71.452
     - type: precision_at_1
-      value: 56.39999999999999
+      value: 58.699999999999996
     - type: precision_at_10
-      value: 8.39
+      value: 8.64
     - type: precision_at_100
-      value: 0.964
+      value: 0.9730000000000001
     - type: precision_at_1000
       value: 0.099
     - type: precision_at_3
-      value: 24.9
+      value: 25.333
     - type: precision_at_5
-      value: 15.86
+      value: 16.400000000000002
     - type: recall_at_1
-      value: 56.39999999999999
+      value: 58.699999999999996
     - type: recall_at_10
-      value: 83.89999999999999
+      value: 86.4
     - type: recall_at_100
-      value: 96.39999999999999
+      value: 97.3
     - type: recall_at_1000
-      value: 98.7
+      value: 99.0
     - type: recall_at_3
-      value: 74.7
+      value: 76.0
     - type: recall_at_5
-      value: 79.3
+      value: 82.0
   - task:
       type: Classification
     dataset:
@@ -1048,11 +1048,11 @@ model-index:
       revision: None
     metrics:
     - type: accuracy
-      value: 89.63000000000001
+      value: 89.23
     - type: ap
-      value: 75.78836247276601
+      value: 75.03115536738895
     - type: f1
-      value: 88.24687781823513
+      value: 87.71601665295442
 ---
 
 ### 使用方法