Update model

Signed-off-by: Aivin V. Solatorio <[email protected]>

README.md

@@ -23,11 +23,11 @@ model-index:
       revision: e8379541af4e31359cca9fbcf4b00f2671dba205
     metrics:
     - type: accuracy
-      value: 73.40298507462688
+      value: 75.26865671641791
     - type: ap
-      value: 36.01661955459773
+      value: 38.25623793370476
     - type: f1
-      value: 67.35688942295793
+      value: 69.26434651320257
   - task:
       type: Classification
     dataset:
@@ -38,11 +38,11 @@ model-index:
       revision: e2d317d38cd51312af73b3d32a06d1a08b442046
     metrics:
     - type: accuracy
-      value: 92.71195000000002
+      value: 93.232225
     - type: ap
-      value: 89.33528835459364
+      value: 89.97936072879344
     - type: f1
-      value: 92.69653287380515
+      value: 93.22122653806187
   - task:
       type: Classification
     dataset:
@@ -53,9 +53,9 @@ model-index:
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
-      value: 49.007999999999996
+      value: 49.715999999999994
     - type: f1
-      value: 48.44310279702607
+      value: 49.169789920136076
   - task:
       type: Retrieval
     dataset:
@@ -66,65 +66,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 36.272999999999996
+      value: 34.922
     - type: map_at_10
-      value: 52.059999999999995
+      value: 50.524
     - type: map_at_100
-      value: 52.75300000000001
+      value: 51.247
     - type: map_at_1000
-      value: 52.756
+      value: 51.249
     - type: map_at_3
-      value: 47.57
+      value: 45.887
     - type: map_at_5
-      value: 50.236999999999995
+      value: 48.592999999999996
     - type: mrr_at_1
-      value: 36.272999999999996
+      value: 34.922
     - type: mrr_at_10
-      value: 51.942
+      value: 50.382000000000005
     - type: mrr_at_100
-      value: 52.634
+      value: 51.104000000000006
     - type: mrr_at_1000
-      value: 52.637
+      value: 51.105999999999995
     - type: mrr_at_3
-      value: 47.475
+      value: 45.733000000000004
     - type: mrr_at_5
-      value: 50.11
+      value: 48.428
     - type: ndcg_at_1
-      value: 36.272999999999996
+      value: 34.922
     - type: ndcg_at_10
-      value: 60.558
+      value: 59.12
     - type: ndcg_at_100
-      value: 63.293
+      value: 62.083999999999996
     - type: ndcg_at_1000
-      value: 63.375
+      value: 62.137
     - type: ndcg_at_3
-      value: 51.364
+      value: 49.616
     - type: ndcg_at_5
-      value: 56.154
+      value: 54.501
     - type: precision_at_1
-      value: 36.272999999999996
+      value: 34.922
     - type: precision_at_10
-      value: 8.755
+      value: 8.649
     - type: precision_at_100
-      value: 0.9900000000000001
+      value: 0.991
     - type: precision_at_1000
       value: 0.1
     - type: precision_at_3
-      value: 20.791999999999998
+      value: 20.152
     - type: precision_at_5
-      value: 14.793999999999999
+      value: 14.466999999999999
     - type: recall_at_1
-      value: 36.272999999999996
+      value: 34.922
     - type: recall_at_10
-      value: 87.553
+      value: 86.48599999999999
     - type: recall_at_100
-      value: 99.004
+      value: 99.14699999999999
     - type: recall_at_1000
-      value: 99.644
+      value: 99.57300000000001
     - type: recall_at_3
-      value: 62.376
+      value: 60.455000000000005
     - type: recall_at_5
-      value: 73.969
+      value: 72.333
   - task:
       type: Clustering
     dataset:
@@ -135,7 +135,7 @@ model-index:
       revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
     metrics:
     - type: v_measure
-      value: 47.79137102109872
+      value: 47.623282347623714
   - task:
       type: Clustering
     dataset:
@@ -146,7 +146,7 @@ model-index:
       revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
     metrics:
     - type: v_measure
-      value: 40.03049595085257
+      value: 39.86487843524932
   - task:
       type: Reranking
     dataset:
@@ -157,9 +157,9 @@ model-index:
       revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
     metrics:
     - type: map
-      value: 62.868157850825256
+      value: 62.3290291318171
     - type: mrr
-      value: 75.33922525612276
+      value: 75.2379853141626
   - task:
       type: STS
     dataset:
@@ -170,17 +170,17 @@ model-index:
       revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
     metrics:
     - type: cos_sim_pearson
-      value: 88.96056116438724
+      value: 88.52002953574285
     - type: cos_sim_spearman
-      value: 87.32608616965557
+      value: 86.98752423842483
     - type: euclidean_pearson
-      value: 87.40536769084146
+      value: 86.89442688314197
     - type: euclidean_spearman
-      value: 87.39235273982528
+      value: 86.88631711307471
     - type: manhattan_pearson
-      value: 87.4496043849794
+      value: 87.03723618507175
     - type: manhattan_spearman
-      value: 87.1128282983821
+      value: 86.76041062975224
   - task:
       type: Classification
     dataset:
@@ -191,9 +191,9 @@ model-index:
       revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
     metrics:
     - type: accuracy
-      value: 86.16883116883116
+      value: 86.64935064935065
     - type: f1
-      value: 86.1338488750026
+      value: 86.61903824934998
   - task:
       type: Clustering
     dataset:
@@ -204,7 +204,7 @@ model-index:
       revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
     metrics:
     - type: v_measure
-      value: 38.950791675044
+      value: 39.21904455377494
   - task:
       type: Clustering
     dataset:
@@ -215,7 +215,7 @@ model-index:
       revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
     metrics:
     - type: v_measure
-      value: 35.40686850755838
+      value: 35.43342755570654
   - task:
       type: Retrieval
     dataset:
@@ -226,65 +226,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 30.891000000000002
+      value: 31.843
     - type: map_at_10
-      value: 42.624
+      value: 43.379
     - type: map_at_100
-      value: 44.205
+      value: 44.946999999999996
     - type: map_at_1000
-      value: 44.336999999999996
+      value: 45.078
     - type: map_at_3
-      value: 38.81
+      value: 39.598
     - type: map_at_5
-      value: 41.152
+      value: 41.746
     - type: mrr_at_1
-      value: 38.196999999999996
+      value: 39.199
     - type: mrr_at_10
-      value: 48.641
+      value: 49.672
     - type: mrr_at_100
-      value: 49.329
+      value: 50.321000000000005
     - type: mrr_at_1000
-      value: 49.376
+      value: 50.365
     - type: mrr_at_3
-      value: 45.637
+      value: 46.805
     - type: mrr_at_5
-      value: 47.611
+      value: 48.579
     - type: ndcg_at_1
-      value: 38.196999999999996
+      value: 39.199
     - type: ndcg_at_10
-      value: 49.274
+      value: 50.163999999999994
     - type: ndcg_at_100
-      value: 54.716
+      value: 55.418
     - type: ndcg_at_1000
-      value: 56.654
+      value: 57.353
     - type: ndcg_at_3
-      value: 43.787
+      value: 44.716
     - type: ndcg_at_5
-      value: 46.719
+      value: 47.268
     - type: precision_at_1
-      value: 38.196999999999996
+      value: 39.199
     - type: precision_at_10
-      value: 9.585
+      value: 9.757
     - type: precision_at_100
-      value: 1.545
+      value: 1.552
     - type: precision_at_1000
-      value: 0.20400000000000001
+      value: 0.20500000000000002
     - type: precision_at_3
-      value: 21.173000000000002
+      value: 21.602
     - type: precision_at_5
-      value: 15.536
+      value: 15.479000000000001
     - type: recall_at_1
-      value: 30.891000000000002
+      value: 31.843
     - type: recall_at_10
-      value: 61.792
+      value: 62.743
     - type: recall_at_100
-      value: 84.526
+      value: 84.78099999999999
     - type: recall_at_1000
-      value: 96.717
+      value: 96.86099999999999
     - type: recall_at_3
-      value: 46.472
+      value: 46.927
     - type: recall_at_5
-      value: 54.391999999999996
+      value: 54.355
   - task:
       type: Retrieval
     dataset:
@@ -295,65 +295,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 30.266
+      value: 29.321
     - type: map_at_10
-      value: 39.717999999999996
+      value: 39.062999999999995
     - type: map_at_100
-      value: 40.971000000000004
+      value: 40.403
     - type: map_at_1000
-      value: 41.097
+      value: 40.534
     - type: map_at_3
-      value: 36.858999999999995
+      value: 36.367
     - type: map_at_5
-      value: 38.405
+      value: 37.756
     - type: mrr_at_1
-      value: 37.452000000000005
+      value: 35.987
     - type: mrr_at_10
-      value: 45.528
+      value: 44.708999999999996
     - type: mrr_at_100
-      value: 46.178000000000004
+      value: 45.394
     - type: mrr_at_1000
-      value: 46.221000000000004
+      value: 45.436
     - type: mrr_at_3
-      value: 43.089
+      value: 42.463
     - type: mrr_at_5
-      value: 44.497
+      value: 43.663000000000004
     - type: ndcg_at_1
-      value: 37.452000000000005
+      value: 35.987
     - type: ndcg_at_10
-      value: 45.282
+      value: 44.585
     - type: ndcg_at_100
-      value: 49.742
+      value: 49.297999999999995
     - type: ndcg_at_1000
-      value: 51.754999999999995
+      value: 51.315
     - type: ndcg_at_3
-      value: 41.024
+      value: 40.569
     - type: ndcg_at_5
-      value: 42.912
+      value: 42.197
     - type: precision_at_1
-      value: 37.452000000000005
+      value: 35.987
     - type: precision_at_10
-      value: 8.516
+      value: 8.369
     - type: precision_at_100
-      value: 1.3679999999999999
+      value: 1.366
     - type: precision_at_1000
       value: 0.184
     - type: precision_at_3
-      value: 19.575
+      value: 19.427
     - type: precision_at_5
-      value: 13.771
+      value: 13.58
     - type: recall_at_1
-      value: 30.266
+      value: 29.321
     - type: recall_at_10
-      value: 55.086
+      value: 54.333
     - type: recall_at_100
-      value: 74.083
+      value: 74.178
     - type: recall_at_1000
-      value: 86.722
+      value: 86.732
     - type: recall_at_3
-      value: 42.449999999999996
+      value: 42.46
     - type: recall_at_5
-      value: 47.975
+      value: 47.089999999999996
   - task:
       type: Retrieval
     dataset:
@@ -364,65 +364,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 39.217
+      value: 38.811
     - type: map_at_10
-      value: 51.466
+      value: 51.114000000000004
     - type: map_at_100
-      value: 52.531000000000006
+      value: 52.22
     - type: map_at_1000
-      value: 52.586
+      value: 52.275000000000006
     - type: map_at_3
-      value: 47.942
+      value: 47.644999999999996
     - type: map_at_5
-      value: 49.988
+      value: 49.675000000000004
     - type: mrr_at_1
-      value: 44.765
+      value: 44.389
     - type: mrr_at_10
-      value: 54.748
+      value: 54.459
     - type: mrr_at_100
-      value: 55.41199999999999
+      value: 55.208999999999996
     - type: mrr_at_1000
-      value: 55.437999999999995
+      value: 55.239000000000004
     - type: mrr_at_3
-      value: 52.017
+      value: 51.954
     - type: mrr_at_5
-      value: 53.693999999999996
+      value: 53.571999999999996
     - type: ndcg_at_1
-      value: 44.765
+      value: 44.389
     - type: ndcg_at_10
-      value: 57.397
+      value: 56.979
     - type: ndcg_at_100
-      value: 61.526
+      value: 61.266
     - type: ndcg_at_1000
-      value: 62.577000000000005
+      value: 62.315
     - type: ndcg_at_3
-      value: 51.414
+      value: 51.342
     - type: ndcg_at_5
-      value: 54.486999999999995
+      value: 54.33
     - type: precision_at_1
-      value: 44.765
+      value: 44.389
     - type: precision_at_10
-      value: 9.354
+      value: 9.26
     - type: precision_at_100
-      value: 1.2309999999999999
+      value: 1.226
     - type: precision_at_1000
       value: 0.136
     - type: precision_at_3
-      value: 22.820999999999998
+      value: 22.926
     - type: precision_at_5
-      value: 16.012999999999998
+      value: 15.987000000000002
     - type: recall_at_1
-      value: 39.217
+      value: 38.811
     - type: recall_at_10
-      value: 71.588
+      value: 70.841
     - type: recall_at_100
-      value: 89.473
+      value: 89.218
     - type: recall_at_1000
-      value: 96.863
+      value: 96.482
     - type: recall_at_3
-      value: 55.943
+      value: 56.123999999999995
     - type: recall_at_5
-      value: 63.14999999999999
+      value: 63.322
   - task:
       type: Retrieval
     dataset:
@@ -433,65 +433,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.451
+      value: 25.378
     - type: map_at_10
-      value: 34.738
+      value: 34.311
     - type: map_at_100
-      value: 35.769
+      value: 35.399
     - type: map_at_1000
-      value: 35.851
+      value: 35.482
     - type: map_at_3
-      value: 32.002
+      value: 31.917
     - type: map_at_5
-      value: 33.800999999999995
+      value: 33.275
     - type: mrr_at_1
-      value: 28.814
+      value: 27.683999999999997
     - type: mrr_at_10
-      value: 36.992000000000004
+      value: 36.575
     - type: mrr_at_100
-      value: 37.901
+      value: 37.492
     - type: mrr_at_1000
-      value: 37.964
+      value: 37.556
     - type: mrr_at_3
-      value: 34.426
+      value: 34.35
     - type: mrr_at_5
-      value: 36.075
+      value: 35.525
     - type: ndcg_at_1
-      value: 28.814
+      value: 27.683999999999997
     - type: ndcg_at_10
-      value: 39.667
+      value: 39.247
     - type: ndcg_at_100
-      value: 44.741
+      value: 44.424
     - type: ndcg_at_1000
-      value: 46.763
+      value: 46.478
     - type: ndcg_at_3
-      value: 34.461999999999996
+      value: 34.684
     - type: ndcg_at_5
-      value: 37.472
+      value: 36.886
     - type: precision_at_1
-      value: 28.814
+      value: 27.683999999999997
     - type: precision_at_10
-      value: 6.045
+      value: 5.989
     - type: precision_at_100
-      value: 0.903
+      value: 0.899
     - type: precision_at_1000
       value: 0.11199999999999999
     - type: precision_at_3
-      value: 14.463000000000001
+      value: 14.84
     - type: precision_at_5
-      value: 10.418
+      value: 10.215
     - type: recall_at_1
-      value: 26.451
+      value: 25.378
     - type: recall_at_10
-      value: 52.751999999999995
+      value: 52.195
     - type: recall_at_100
-      value: 75.971
+      value: 75.764
     - type: recall_at_1000
-      value: 91.02
+      value: 91.012
     - type: recall_at_3
-      value: 38.896
+      value: 39.885999999999996
     - type: recall_at_5
-      value: 46.126
+      value: 45.279
   - task:
       type: Retrieval
     dataset:
@@ -502,65 +502,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 16.03
+      value: 17.326
     - type: map_at_10
-      value: 24.474999999999998
+      value: 25.247000000000003
     - type: map_at_100
-      value: 25.650000000000002
+      value: 26.473000000000003
     - type: map_at_1000
-      value: 25.764
+      value: 26.579000000000004
     - type: map_at_3
-      value: 21.656
+      value: 22.466
     - type: map_at_5
-      value: 23.269000000000002
+      value: 24.113
     - type: mrr_at_1
-      value: 20.025000000000002
+      value: 21.393
     - type: mrr_at_10
-      value: 29.325000000000003
+      value: 30.187
     - type: mrr_at_100
-      value: 30.264999999999997
+      value: 31.089
     - type: mrr_at_1000
-      value: 30.325000000000003
+      value: 31.15
     - type: mrr_at_3
-      value: 26.493
+      value: 27.279999999999998
     - type: mrr_at_5
-      value: 28.197
+      value: 29.127
     - type: ndcg_at_1
-      value: 20.025000000000002
+      value: 21.393
     - type: ndcg_at_10
-      value: 30.012
+      value: 30.668
     - type: ndcg_at_100
-      value: 35.760999999999996
+      value: 36.543
     - type: ndcg_at_1000
-      value: 38.53
+      value: 39.181
     - type: ndcg_at_3
-      value: 24.863
+      value: 25.552000000000003
     - type: ndcg_at_5
-      value: 27.36
+      value: 28.176000000000002
     - type: precision_at_1
-      value: 20.025000000000002
+      value: 21.393
     - type: precision_at_10
-      value: 5.721
+      value: 5.784000000000001
     - type: precision_at_100
-      value: 0.9809999999999999
+      value: 1.001
     - type: precision_at_1000
       value: 0.136
     - type: precision_at_3
-      value: 12.189
+      value: 12.231
     - type: precision_at_5
-      value: 9.08
+      value: 9.179
     - type: recall_at_1
-      value: 16.03
+      value: 17.326
     - type: recall_at_10
-      value: 42.263
+      value: 42.415000000000006
     - type: recall_at_100
-      value: 67.868
+      value: 68.605
     - type: recall_at_1000
-      value: 87.77000000000001
+      value: 87.694
     - type: recall_at_3
-      value: 27.932000000000002
+      value: 28.343
     - type: recall_at_5
-      value: 34.46
+      value: 35.086
   - task:
       type: Retrieval
     dataset:
@@ -571,65 +571,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 29.358
+      value: 29.069
     - type: map_at_10
-      value: 39.753
+      value: 40.027
     - type: map_at_100
-      value: 41.031
+      value: 41.308
     - type: map_at_1000
-      value: 41.135
+      value: 41.412
     - type: map_at_3
-      value: 36.515
+      value: 36.864000000000004
     - type: map_at_5
-      value: 38.346999999999994
+      value: 38.641999999999996
     - type: mrr_at_1
-      value: 35.9
+      value: 35.707
     - type: mrr_at_10
-      value: 45.336
+      value: 45.527
     - type: mrr_at_100
-      value: 46.087
+      value: 46.348
     - type: mrr_at_1000
-      value: 46.129999999999995
+      value: 46.392
     - type: mrr_at_3
-      value: 42.620999999999995
+      value: 43.086
     - type: mrr_at_5
-      value: 44.224000000000004
+      value: 44.645
     - type: ndcg_at_1
-      value: 35.9
+      value: 35.707
     - type: ndcg_at_10
-      value: 45.85
+      value: 46.117000000000004
     - type: ndcg_at_100
-      value: 51.186
+      value: 51.468
     - type: ndcg_at_1000
-      value: 53.154999999999994
+      value: 53.412000000000006
     - type: ndcg_at_3
-      value: 40.594
+      value: 41.224
     - type: ndcg_at_5
-      value: 43.169999999999995
+      value: 43.637
     - type: precision_at_1
-      value: 35.9
+      value: 35.707
     - type: precision_at_10
-      value: 8.402
+      value: 8.459999999999999
     - type: precision_at_100
-      value: 1.2850000000000001
+      value: 1.2970000000000002
     - type: precision_at_1000
-      value: 0.164
+      value: 0.165
     - type: precision_at_3
-      value: 19.249
+      value: 19.731
     - type: precision_at_5
-      value: 13.763
+      value: 14.013
     - type: recall_at_1
-      value: 29.358
+      value: 29.069
     - type: recall_at_10
-      value: 58.257000000000005
+      value: 58.343999999999994
     - type: recall_at_100
-      value: 81.22200000000001
+      value: 81.296
     - type: recall_at_1000
-      value: 94.045
+      value: 93.974
     - type: recall_at_3
-      value: 43.599
+      value: 44.7
     - type: recall_at_5
-      value: 50.232
+      value: 50.88700000000001
   - task:
       type: Retrieval
     dataset:
@@ -640,65 +640,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 23.954
+      value: 23.905
     - type: map_at_10
-      value: 33.767
+      value: 33.983000000000004
     - type: map_at_100
-      value: 35.225
+      value: 35.372
     - type: map_at_1000
-      value: 35.339
+      value: 35.487
     - type: map_at_3
-      value: 30.746000000000002
+      value: 30.902
     - type: map_at_5
-      value: 32.318000000000005
+      value: 32.505
     - type: mrr_at_1
-      value: 30.137000000000004
+      value: 29.794999999999998
     - type: mrr_at_10
-      value: 39.24
+      value: 39.28
     - type: mrr_at_100
-      value: 40.235
+      value: 40.215
     - type: mrr_at_1000
-      value: 40.294999999999995
+      value: 40.276
     - type: mrr_at_3
-      value: 36.758
+      value: 36.701
     - type: mrr_at_5
-      value: 38.031
+      value: 38.105
     - type: ndcg_at_1
-      value: 30.137000000000004
+      value: 29.794999999999998
     - type: ndcg_at_10
-      value: 39.711999999999996
+      value: 40.041
     - type: ndcg_at_100
-      value: 45.795
+      value: 45.884
     - type: ndcg_at_1000
-      value: 48.178
+      value: 48.271
     - type: ndcg_at_3
-      value: 34.768
+      value: 34.931
     - type: ndcg_at_5
-      value: 36.756
+      value: 37.044
     - type: precision_at_1
-      value: 30.137000000000004
+      value: 29.794999999999998
     - type: precision_at_10
-      value: 7.443
+      value: 7.546
     - type: precision_at_100
-      value: 1.221
+      value: 1.216
     - type: precision_at_1000
-      value: 0.159
+      value: 0.158
     - type: precision_at_3
       value: 16.933
     - type: precision_at_5
-      value: 11.918
+      value: 12.1
     - type: recall_at_1
-      value: 23.954
+      value: 23.905
     - type: recall_at_10
-      value: 52.234
+      value: 52.945
     - type: recall_at_100
-      value: 77.75800000000001
+      value: 77.551
     - type: recall_at_1000
-      value: 94.072
+      value: 93.793
     - type: recall_at_3
-      value: 37.876
+      value: 38.364
     - type: recall_at_5
-      value: 43.494
+      value: 44.044
   - task:
       type: Retrieval
     dataset:
@@ -709,65 +709,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 25.478416666666664
+      value: 25.24441666666667
     - type: map_at_10
-      value: 34.483999999999995
+      value: 34.4595
     - type: map_at_100
-      value: 35.71641666666667
+      value: 35.699999999999996
     - type: map_at_1000
-      value: 35.8315
+      value: 35.8155
     - type: map_at_3
-      value: 31.571083333333334
+      value: 31.608333333333338
     - type: map_at_5
-      value: 33.229749999999996
+      value: 33.189416666666666
     - type: mrr_at_1
-      value: 30.122416666666663
+      value: 29.825250000000004
     - type: mrr_at_10
-      value: 38.608333333333334
+      value: 38.60875
     - type: mrr_at_100
-      value: 39.465500000000006
+      value: 39.46575
     - type: mrr_at_1000
-      value: 39.52375
+      value: 39.52458333333333
     - type: mrr_at_3
-      value: 36.047916666666666
+      value: 36.145166666666675
     - type: mrr_at_5
-      value: 37.53833333333333
+      value: 37.57625
     - type: ndcg_at_1
-      value: 30.122416666666663
+      value: 29.825250000000004
     - type: ndcg_at_10
-      value: 39.87575
+      value: 39.88741666666667
     - type: ndcg_at_100
-      value: 45.15691666666666
+      value: 45.17966666666667
     - type: ndcg_at_1000
-      value: 47.43891666666667
+      value: 47.440583333333336
     - type: ndcg_at_3
-      value: 34.88666666666666
+      value: 35.04591666666666
     - type: ndcg_at_5
-      value: 37.30966666666667
+      value: 37.32025
     - type: precision_at_1
-      value: 30.122416666666663
+      value: 29.825250000000004
     - type: precision_at_10
-      value: 7.056500000000001
+      value: 7.07225
     - type: precision_at_100
-      value: 1.1415000000000002
+      value: 1.1462499999999998
     - type: precision_at_1000
-      value: 0.15308333333333332
+      value: 0.15325
     - type: precision_at_3
-      value: 16.03525
+      value: 16.18375
     - type: precision_at_5
-      value: 11.51125
+      value: 11.526833333333334
     - type: recall_at_1
-      value: 25.478416666666664
+      value: 25.24441666666667
     - type: recall_at_10
-      value: 51.72658333333333
+      value: 51.744916666666676
     - type: recall_at_100
-      value: 74.94641666666666
+      value: 75.04574999999998
     - type: recall_at_1000
-      value: 90.75300000000001
+      value: 90.65558333333334
     - type: recall_at_3
-      value: 37.93833333333333
+      value: 38.28349999999999
     - type: recall_at_5
-      value: 44.15625
+      value: 44.16591666666667
   - task:
       type: Retrieval
     dataset:
@@ -778,65 +778,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 24.697
+      value: 24.237000000000002
     - type: map_at_10
-      value: 30.919999999999998
+      value: 30.667
     - type: map_at_100
-      value: 31.889
+      value: 31.592
     - type: map_at_1000
-      value: 31.985000000000003
+      value: 31.688
     - type: map_at_3
-      value: 29.046
+      value: 28.810999999999996
     - type: map_at_5
-      value: 29.902
+      value: 29.788999999999998
     - type: mrr_at_1
-      value: 27.454
+      value: 26.840000000000003
     - type: mrr_at_10
-      value: 33.517
+      value: 33.305
     - type: mrr_at_100
-      value: 34.381
+      value: 34.089000000000006
     - type: mrr_at_1000
-      value: 34.452
+      value: 34.159
     - type: mrr_at_3
-      value: 31.747999999999998
+      value: 31.518
     - type: mrr_at_5
-      value: 32.561
+      value: 32.469
     - type: ndcg_at_1
-      value: 27.454
+      value: 26.840000000000003
     - type: ndcg_at_10
-      value: 34.687
+      value: 34.541
     - type: ndcg_at_100
-      value: 39.395
+      value: 39.206
     - type: ndcg_at_1000
-      value: 41.826
+      value: 41.592
     - type: ndcg_at_3
-      value: 31.102
+      value: 31.005
     - type: ndcg_at_5
-      value: 32.435
+      value: 32.554
     - type: precision_at_1
-      value: 27.454
+      value: 26.840000000000003
     - type: precision_at_10
-      value: 5.322
+      value: 5.3069999999999995
     - type: precision_at_100
-      value: 0.83
+      value: 0.8340000000000001
     - type: precision_at_1000
       value: 0.11199999999999999
     - type: precision_at_3
-      value: 13.088
+      value: 13.292000000000002
     - type: precision_at_5
-      value: 8.803999999999998
+      value: 9.049
     - type: recall_at_1
-      value: 24.697
+      value: 24.237000000000002
     - type: recall_at_10
-      value: 43.688
+      value: 43.862
     - type: recall_at_100
-      value: 64.893
+      value: 65.352
     - type: recall_at_1000
-      value: 82.755
+      value: 82.704
     - type: recall_at_3
-      value: 33.896
+      value: 34.009
     - type: recall_at_5
-      value: 37.174
+      value: 37.878
   - task:
       type: Retrieval
     dataset:
@@ -847,65 +847,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 16.525000000000002
+      value: 16.482
     - type: map_at_10
-      value: 23.435
+      value: 23.249
     - type: map_at_100
-      value: 24.535999999999998
+      value: 24.388
     - type: map_at_1000
-      value: 24.672
+      value: 24.519
     - type: map_at_3
-      value: 21.095
+      value: 20.971
     - type: map_at_5
-      value: 22.308
+      value: 22.192
     - type: mrr_at_1
       value: 19.993
     - type: mrr_at_10
-      value: 27.096999999999998
+      value: 26.985
     - type: mrr_at_100
-      value: 28.036
+      value: 27.975
     - type: mrr_at_1000
-      value: 28.119
+      value: 28.052
     - type: mrr_at_3
-      value: 24.971
+      value: 24.954
     - type: mrr_at_5
-      value: 26.062
+      value: 26.070999999999998
     - type: ndcg_at_1
       value: 19.993
     - type: ndcg_at_10
-      value: 28.002
+      value: 27.656
     - type: ndcg_at_100
-      value: 33.288000000000004
+      value: 33.256
     - type: ndcg_at_1000
-      value: 36.416
+      value: 36.275
     - type: ndcg_at_3
-      value: 23.768
+      value: 23.644000000000002
     - type: ndcg_at_5
-      value: 25.579
+      value: 25.466
     - type: precision_at_1
       value: 19.993
     - type: precision_at_10
-      value: 5.196
+      value: 5.093
     - type: precision_at_100
-      value: 0.922
+      value: 0.932
     - type: precision_at_1000
-      value: 0.136
+      value: 0.13699999999999998
     - type: precision_at_3
-      value: 11.241
+      value: 11.149000000000001
     - type: precision_at_5
-      value: 8.176
+      value: 8.149000000000001
     - type: recall_at_1
-      value: 16.525000000000002
+      value: 16.482
     - type: recall_at_10
-      value: 38.082
+      value: 37.141999999999996
     - type: recall_at_100
-      value: 61.866
+      value: 62.696
     - type: recall_at_1000
-      value: 84.20100000000001
+      value: 84.333
     - type: recall_at_3
-      value: 26.228
+      value: 26.031
     - type: recall_at_5
-      value: 30.86
+      value: 30.660999999999998
   - task:
       type: Retrieval
     dataset:
@@ -916,65 +916,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 25.480999999999998
+      value: 24.887999999999998
     - type: map_at_10
-      value: 34.319
+      value: 34.101
     - type: map_at_100
-      value: 35.54
+      value: 35.27
     - type: map_at_1000
-      value: 35.648
+      value: 35.370000000000005
     - type: map_at_3
-      value: 31.533
+      value: 31.283
     - type: map_at_5
-      value: 33.058
+      value: 32.72
     - type: mrr_at_1
-      value: 29.851
+      value: 29.011
     - type: mrr_at_10
-      value: 38.243
+      value: 38.004
     - type: mrr_at_100
-      value: 39.172000000000004
+      value: 38.879000000000005
     - type: mrr_at_1000
-      value: 39.235
+      value: 38.938
     - type: mrr_at_3
-      value: 35.697
+      value: 35.571999999999996
     - type: mrr_at_5
-      value: 37.147000000000006
+      value: 36.789
     - type: ndcg_at_1
-      value: 29.851
+      value: 29.011
     - type: ndcg_at_10
-      value: 39.653
+      value: 39.586
     - type: ndcg_at_100
-      value: 45.065
+      value: 44.939
     - type: ndcg_at_1000
-      value: 47.477999999999994
+      value: 47.236
     - type: ndcg_at_3
-      value: 34.481
+      value: 34.4
     - type: ndcg_at_5
-      value: 36.870999999999995
+      value: 36.519
     - type: precision_at_1
-      value: 29.851
+      value: 29.011
     - type: precision_at_10
-      value: 6.679
+      value: 6.763
     - type: precision_at_100
-      value: 1.053
+      value: 1.059
     - type: precision_at_1000
       value: 0.13699999999999998
     - type: precision_at_3
-      value: 15.485
+      value: 15.609
     - type: precision_at_5
-      value: 10.989
+      value: 10.896
     - type: recall_at_1
-      value: 25.480999999999998
+      value: 24.887999999999998
     - type: recall_at_10
-      value: 52.032000000000004
+      value: 52.42
     - type: recall_at_100
-      value: 75.193
+      value: 75.803
     - type: recall_at_1000
-      value: 91.958
+      value: 91.725
     - type: recall_at_3
-      value: 38.089
+      value: 38.080999999999996
     - type: recall_at_5
-      value: 43.947
+      value: 43.47
   - task:
       type: Retrieval
     dataset:
@@ -985,65 +985,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 25.148
+      value: 23.953
     - type: map_at_10
-      value: 33.007
+      value: 32.649
     - type: map_at_100
-      value: 34.602
+      value: 34.181
     - type: map_at_1000
-      value: 34.809
+      value: 34.398
     - type: map_at_3
-      value: 30.014000000000003
+      value: 29.567
     - type: map_at_5
-      value: 31.728
+      value: 31.263
     - type: mrr_at_1
-      value: 29.842000000000002
+      value: 29.051
     - type: mrr_at_10
-      value: 37.318
+      value: 37.419999999999995
     - type: mrr_at_100
-      value: 38.353
+      value: 38.396
     - type: mrr_at_1000
-      value: 38.41
+      value: 38.458
     - type: mrr_at_3
-      value: 34.75
+      value: 34.782999999999994
     - type: mrr_at_5
-      value: 36.163000000000004
+      value: 36.254999999999995
     - type: ndcg_at_1
-      value: 29.842000000000002
+      value: 29.051
     - type: ndcg_at_10
-      value: 38.462
+      value: 38.595
     - type: ndcg_at_100
-      value: 44.86
+      value: 44.6
     - type: ndcg_at_1000
-      value: 47.375
+      value: 47.158
     - type: ndcg_at_3
-      value: 33.614
+      value: 33.56
     - type: ndcg_at_5
-      value: 36.032
+      value: 35.870000000000005
     - type: precision_at_1
-      value: 29.842000000000002
+      value: 29.051
     - type: precision_at_10
-      value: 7.332
+      value: 7.53
     - type: precision_at_100
-      value: 1.52
+      value: 1.538
     - type: precision_at_1000
-      value: 0.23900000000000002
+      value: 0.24
     - type: precision_at_3
-      value: 15.547
+      value: 15.744
     - type: precision_at_5
-      value: 11.423
+      value: 11.542
     - type: recall_at_1
-      value: 25.148
+      value: 23.953
     - type: recall_at_10
-      value: 48.894
+      value: 50.08200000000001
     - type: recall_at_100
-      value: 77.845
+      value: 77.364
     - type: recall_at_1000
-      value: 93.74900000000001
+      value: 93.57799999999999
     - type: recall_at_3
-      value: 35.17
+      value: 35.432
     - type: recall_at_5
-      value: 41.734
+      value: 41.875
   - task:
       type: Retrieval
     dataset:
@@ -1054,65 +1054,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 17.723
+      value: 17.72
     - type: map_at_10
-      value: 25.586
+      value: 25.724000000000004
     - type: map_at_100
-      value: 26.648
+      value: 26.846999999999998
     - type: map_at_1000
-      value: 26.755000000000003
+      value: 26.964
     - type: map_at_3
-      value: 22.634999999999998
+      value: 22.909
     - type: map_at_5
-      value: 24.481
+      value: 24.596999999999998
     - type: mrr_at_1
-      value: 19.039
+      value: 18.854000000000003
     - type: mrr_at_10
-      value: 27.315
+      value: 27.182000000000002
     - type: mrr_at_100
-      value: 28.237000000000002
+      value: 28.182000000000002
     - type: mrr_at_1000
-      value: 28.32
+      value: 28.274
     - type: mrr_at_3
-      value: 24.368000000000002
+      value: 24.276
     - type: mrr_at_5
-      value: 26.198
+      value: 26.115
     - type: ndcg_at_1
-      value: 19.039
+      value: 18.854000000000003
     - type: ndcg_at_10
-      value: 30.511
+      value: 30.470000000000002
     - type: ndcg_at_100
-      value: 35.808
+      value: 35.854
     - type: ndcg_at_1000
-      value: 38.56
+      value: 38.701
     - type: ndcg_at_3
-      value: 24.762999999999998
+      value: 24.924
     - type: ndcg_at_5
-      value: 27.923
+      value: 27.895999999999997
     - type: precision_at_1
-      value: 19.039
+      value: 18.854000000000003
     - type: precision_at_10
-      value: 5.083
+      value: 5.009
     - type: precision_at_100
-      value: 0.839
+      value: 0.835
     - type: precision_at_1000
-      value: 0.11800000000000001
+      value: 0.117
     - type: precision_at_3
-      value: 10.659
+      value: 10.721
     - type: precision_at_5
-      value: 8.244
+      value: 8.133
     - type: recall_at_1
-      value: 17.723
+      value: 17.72
     - type: recall_at_10
-      value: 44.051
+      value: 43.617
     - type: recall_at_100
-      value: 68.659
+      value: 67.941
     - type: recall_at_1000
-      value: 89.164
+      value: 88.979
     - type: recall_at_3
-      value: 28.709
+      value: 29.044999999999998
     - type: recall_at_5
-      value: 36.331
+      value: 36.044
   - task:
       type: Retrieval
     dataset:
@@ -1123,65 +1123,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 13.669999999999998
+      value: 13.427
     - type: map_at_10
-      value: 23.46
+      value: 22.935
     - type: map_at_100
-      value: 25.304
+      value: 24.808
     - type: map_at_1000
-      value: 25.497999999999998
+      value: 24.994
     - type: map_at_3
-      value: 19.702
+      value: 19.533
     - type: map_at_5
-      value: 21.642
+      value: 21.261
     - type: mrr_at_1
-      value: 31.269999999999996
+      value: 30.945
     - type: mrr_at_10
-      value: 43.264
+      value: 43.242000000000004
     - type: mrr_at_100
-      value: 44.1
+      value: 44.013999999999996
     - type: mrr_at_1000
-      value: 44.134
+      value: 44.048
     - type: mrr_at_3
-      value: 40.011
+      value: 40.109
     - type: mrr_at_5
-      value: 42.079
+      value: 42.059999999999995
     - type: ndcg_at_1
-      value: 31.269999999999996
+      value: 30.945
     - type: ndcg_at_10
-      value: 32.385000000000005
+      value: 31.828
     - type: ndcg_at_100
-      value: 39.282000000000004
+      value: 38.801
     - type: ndcg_at_1000
-      value: 42.628
+      value: 42.126999999999995
     - type: ndcg_at_3
-      value: 26.942
+      value: 26.922
     - type: ndcg_at_5
-      value: 28.832
+      value: 28.483999999999998
     - type: precision_at_1
-      value: 31.269999999999996
+      value: 30.945
     - type: precision_at_10
-      value: 10.123999999999999
+      value: 9.844
     - type: precision_at_100
-      value: 1.748
+      value: 1.7309999999999999
     - type: precision_at_1000
-      value: 0.23700000000000002
+      value: 0.23500000000000001
     - type: precision_at_3
-      value: 20.282
+      value: 20.477999999999998
     - type: precision_at_5
-      value: 15.479000000000001
+      value: 15.27
     - type: recall_at_1
-      value: 13.669999999999998
+      value: 13.427
     - type: recall_at_10
-      value: 38.078
+      value: 37.141000000000005
     - type: recall_at_100
-      value: 61.651
+      value: 61.007
     - type: recall_at_1000
-      value: 80.279
+      value: 79.742
     - type: recall_at_3
-      value: 24.438
+      value: 24.431
     - type: recall_at_5
-      value: 30.244
+      value: 29.725
   - task:
       type: Retrieval
     dataset:
@@ -1192,65 +1192,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 9.103
+      value: 9.122
     - type: map_at_10
-      value: 19.238
+      value: 18.799
     - type: map_at_100
-      value: 26.451999999999998
+      value: 25.724999999999998
     - type: map_at_1000
-      value: 27.987000000000002
+      value: 27.205000000000002
     - type: map_at_3
-      value: 14.069999999999999
+      value: 14.194999999999999
     - type: map_at_5
-      value: 16.434
+      value: 16.225
     - type: mrr_at_1
-      value: 67.5
+      value: 68.0
     - type: mrr_at_10
-      value: 75.64800000000001
+      value: 76.035
     - type: mrr_at_100
-      value: 75.847
+      value: 76.292
     - type: mrr_at_1000
-      value: 75.85499999999999
+      value: 76.297
     - type: mrr_at_3
-      value: 73.833
+      value: 74.458
     - type: mrr_at_5
-      value: 74.933
+      value: 75.558
     - type: ndcg_at_1
-      value: 55.625
+      value: 56.00000000000001
     - type: ndcg_at_10
-      value: 40.505
+      value: 39.761
     - type: ndcg_at_100
-      value: 44.505
+      value: 43.736999999999995
     - type: ndcg_at_1000
-      value: 52.005
+      value: 51.146
     - type: ndcg_at_3
-      value: 45.841
+      value: 45.921
     - type: ndcg_at_5
-      value: 42.945
+      value: 42.756
     - type: precision_at_1
-      value: 67.5
+      value: 68.0
     - type: precision_at_10
-      value: 31.6
+      value: 30.275000000000002
     - type: precision_at_100
-      value: 9.83
+      value: 9.343
     - type: precision_at_1000
-      value: 1.9619999999999997
+      value: 1.8270000000000002
     - type: precision_at_3
-      value: 49.083
+      value: 49.167
     - type: precision_at_5
-      value: 41.15
+      value: 40.699999999999996
     - type: recall_at_1
-      value: 9.103
+      value: 9.122
     - type: recall_at_10
-      value: 24.6
+      value: 23.669999999999998
     - type: recall_at_100
-      value: 50.075
+      value: 48.719
     - type: recall_at_1000
-      value: 73.516
+      value: 72.033
     - type: recall_at_3
-      value: 15.35
+      value: 15.498999999999999
     - type: recall_at_5
-      value: 19.217000000000002
+      value: 18.657
   - task:
       type: Classification
     dataset:
@@ -1261,9 +1261,9 @@ model-index:
       revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
     metrics:
     - type: accuracy
-      value: 50.595
+      value: 55.885000000000005
     - type: f1
-      value: 45.43005573726517
+      value: 50.70726446938571
   - task:
       type: Retrieval
     dataset:
@@ -1274,65 +1274,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 76.08200000000001
+      value: 75.709
     - type: map_at_10
-      value: 83.697
+      value: 83.345
     - type: map_at_100
-      value: 83.891
+      value: 83.557
     - type: map_at_1000
-      value: 83.905
+      value: 83.572
     - type: map_at_3
-      value: 82.69
+      value: 82.425
     - type: map_at_5
-      value: 83.35900000000001
+      value: 83.013
     - type: mrr_at_1
-      value: 82.148
+      value: 81.593
     - type: mrr_at_10
-      value: 88.727
+      value: 88.331
     - type: mrr_at_100
-      value: 88.787
+      value: 88.408
     - type: mrr_at_1000
-      value: 88.788
+      value: 88.41
     - type: mrr_at_3
-      value: 88.054
+      value: 87.714
     - type: mrr_at_5
-      value: 88.547
+      value: 88.122
     - type: ndcg_at_1
-      value: 82.148
+      value: 81.593
     - type: ndcg_at_10
-      value: 87.274
+      value: 86.925
     - type: ndcg_at_100
-      value: 87.957
+      value: 87.67
     - type: ndcg_at_1000
-      value: 88.203
+      value: 87.924
     - type: ndcg_at_3
-      value: 85.744
+      value: 85.5
     - type: ndcg_at_5
-      value: 86.664
+      value: 86.283
     - type: precision_at_1
-      value: 82.148
+      value: 81.593
     - type: precision_at_10
-      value: 10.315000000000001
+      value: 10.264
     - type: precision_at_100
-      value: 1.086
+      value: 1.084
     - type: precision_at_1000
-      value: 0.11299999999999999
+      value: 0.11199999999999999
     - type: precision_at_3
-      value: 32.458
+      value: 32.388
     - type: precision_at_5
-      value: 20.09
+      value: 19.991
     - type: recall_at_1
-      value: 76.08200000000001
+      value: 75.709
     - type: recall_at_10
-      value: 93.408
+      value: 93.107
     - type: recall_at_100
-      value: 96.11
+      value: 96.024
     - type: recall_at_1000
-      value: 97.626
+      value: 97.603
     - type: recall_at_3
-      value: 89.172
+      value: 89.08500000000001
     - type: recall_at_5
-      value: 91.604
+      value: 91.15299999999999
   - task:
       type: Retrieval
     dataset:
@@ -1343,65 +1343,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 19.377
+      value: 19.121
     - type: map_at_10
-      value: 31.785000000000004
+      value: 31.78
     - type: map_at_100
-      value: 33.511
+      value: 33.497
     - type: map_at_1000
-      value: 33.713
+      value: 33.696
     - type: map_at_3
-      value: 27.811999999999998
+      value: 27.893
     - type: map_at_5
-      value: 30.148000000000003
+      value: 30.087000000000003
     - type: mrr_at_1
-      value: 38.426
+      value: 38.272
     - type: mrr_at_10
-      value: 47.233000000000004
+      value: 47.176
     - type: mrr_at_100
-      value: 47.980000000000004
+      value: 48.002
     - type: mrr_at_1000
-      value: 48.022
+      value: 48.044
     - type: mrr_at_3
-      value: 44.856
+      value: 45.086999999999996
     - type: mrr_at_5
-      value: 46.322
+      value: 46.337
     - type: ndcg_at_1
-      value: 38.426
+      value: 38.272
     - type: ndcg_at_10
-      value: 39.326
+      value: 39.145
     - type: ndcg_at_100
-      value: 45.769999999999996
+      value: 45.696999999999996
     - type: ndcg_at_1000
-      value: 49.131
+      value: 49.0
     - type: ndcg_at_3
-      value: 36.1
+      value: 36.148
     - type: ndcg_at_5
-      value: 37.271
+      value: 37.023
     - type: precision_at_1
-      value: 38.426
+      value: 38.272
     - type: precision_at_10
-      value: 11.126999999999999
+      value: 11.065
     - type: precision_at_100
-      value: 1.7870000000000001
+      value: 1.7840000000000003
     - type: precision_at_1000
-      value: 0.23700000000000002
+      value: 0.23600000000000002
     - type: precision_at_3
       value: 24.587999999999997
     - type: precision_at_5
-      value: 18.21
+      value: 18.056
     - type: recall_at_1
-      value: 19.377
+      value: 19.121
     - type: recall_at_10
-      value: 45.484
+      value: 44.857
     - type: recall_at_100
-      value: 69.968
+      value: 69.774
     - type: recall_at_1000
-      value: 90.30799999999999
+      value: 89.645
     - type: recall_at_3
-      value: 32.72
+      value: 32.588
     - type: recall_at_5
-      value: 38.856
+      value: 37.939
   - task:
       type: Retrieval
     dataset:
@@ -1412,65 +1412,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 37.475
+      value: 36.428
     - type: map_at_10
-      value: 58.662000000000006
+      value: 56.891999999999996
     - type: map_at_100
-      value: 59.561
+      value: 57.82899999999999
     - type: map_at_1000
-      value: 59.626999999999995
+      value: 57.896
     - type: map_at_3
-      value: 55.496
+      value: 53.762
     - type: map_at_5
-      value: 57.464000000000006
+      value: 55.718
     - type: mrr_at_1
-      value: 74.949
+      value: 72.856
     - type: mrr_at_10
-      value: 80.976
+      value: 79.245
     - type: mrr_at_100
-      value: 81.215
+      value: 79.515
     - type: mrr_at_1000
-      value: 81.22399999999999
+      value: 79.525
     - type: mrr_at_3
-      value: 79.892
+      value: 78.143
     - type: mrr_at_5
-      value: 80.57
+      value: 78.822
     - type: ndcg_at_1
-      value: 74.949
+      value: 72.856
     - type: ndcg_at_10
-      value: 66.93599999999999
+      value: 65.204
     - type: ndcg_at_100
-      value: 70.137
+      value: 68.552
     - type: ndcg_at_1000
-      value: 71.452
+      value: 69.902
     - type: ndcg_at_3
-      value: 62.319
+      value: 60.632
     - type: ndcg_at_5
-      value: 64.866
+      value: 63.161
     - type: precision_at_1
-      value: 74.949
+      value: 72.856
     - type: precision_at_10
-      value: 13.988999999999999
+      value: 13.65
     - type: precision_at_100
-      value: 1.6500000000000001
+      value: 1.6260000000000001
     - type: precision_at_1000
-      value: 0.182
+      value: 0.181
     - type: precision_at_3
-      value: 39.806000000000004
+      value: 38.753
     - type: precision_at_5
-      value: 25.899
+      value: 25.251
     - type: recall_at_1
-      value: 37.475
+      value: 36.428
     - type: recall_at_10
-      value: 69.946
+      value: 68.25099999999999
     - type: recall_at_100
-      value: 82.478
+      value: 81.317
     - type: recall_at_1000
-      value: 91.202
+      value: 90.27
     - type: recall_at_3
-      value: 59.709999999999994
+      value: 58.13
     - type: recall_at_5
-      value: 64.747
+      value: 63.126000000000005
   - task:
       type: Classification
     dataset:
@@ -1481,11 +1481,11 @@ model-index:
       revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
     metrics:
     - type: accuracy
-      value: 89.2272
+      value: 89.4868
     - type: ap
-      value: 84.69017509523854
+      value: 84.88319192880247
     - type: f1
-      value: 89.20673182133066
+      value: 89.46144458052846
   - task:
       type: Retrieval
     dataset:
@@ -1496,65 +1496,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 21.471999999999998
+      value: 21.282999999999998
     - type: map_at_10
-      value: 33.287
+      value: 33.045
     - type: map_at_100
-      value: 34.486
+      value: 34.238
     - type: map_at_1000
-      value: 34.536
+      value: 34.29
     - type: map_at_3
-      value: 29.520999999999997
+      value: 29.305999999999997
     - type: map_at_5
-      value: 31.647
+      value: 31.391000000000002
     - type: mrr_at_1
-      value: 22.076999999999998
+      value: 21.92
     - type: mrr_at_10
-      value: 33.902
+      value: 33.649
     - type: mrr_at_100
-      value: 35.037
+      value: 34.791
     - type: mrr_at_1000
-      value: 35.081
+      value: 34.837
     - type: mrr_at_3
-      value: 30.174
+      value: 30.0
     - type: mrr_at_5
-      value: 32.302
+      value: 32.039
     - type: ndcg_at_1
-      value: 22.092
+      value: 21.92
     - type: ndcg_at_10
-      value: 40.073
+      value: 39.729
     - type: ndcg_at_100
-      value: 45.82
+      value: 45.484
     - type: ndcg_at_1000
-      value: 47.097
+      value: 46.817
     - type: ndcg_at_3
-      value: 32.364
+      value: 32.084
     - type: ndcg_at_5
-      value: 36.179
+      value: 35.789
     - type: precision_at_1
-      value: 22.092
+      value: 21.92
     - type: precision_at_10
-      value: 6.36
+      value: 6.297
     - type: precision_at_100
-      value: 0.924
+      value: 0.918
     - type: precision_at_1000
       value: 0.10300000000000001
     - type: precision_at_3
-      value: 13.806
+      value: 13.639000000000001
     - type: precision_at_5
-      value: 10.223
+      value: 10.054
     - type: recall_at_1
-      value: 21.471999999999998
+      value: 21.282999999999998
     - type: recall_at_10
-      value: 60.971
+      value: 60.343999999999994
     - type: recall_at_100
-      value: 87.518
+      value: 86.981
     - type: recall_at_1000
-      value: 97.333
+      value: 97.205
     - type: recall_at_3
-      value: 39.961999999999996
+      value: 39.452999999999996
     - type: recall_at_5
-      value: 49.126
+      value: 48.333
   - task:
       type: Classification
     dataset:
@@ -1565,9 +1565,9 @@ model-index:
       revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
     metrics:
     - type: accuracy
-      value: 94.44596443228454
+      value: 95.47879616963064
     - type: f1
-      value: 94.19326360848854
+      value: 95.21800589958251
   - task:
       type: Classification
     dataset:
@@ -1578,9 +1578,9 @@ model-index:
       revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
     metrics:
     - type: accuracy
-      value: 75.7934336525308
+      value: 79.09256725946192
     - type: f1
-      value: 57.619082395865604
+      value: 60.554043889452515
   - task:
       type: Classification
     dataset:
@@ -1591,9 +1591,9 @@ model-index:
       revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
     metrics:
     - type: accuracy
-      value: 74.70410221923336
+      value: 75.53463349024882
     - type: f1
-      value: 72.82854233810865
+      value: 73.14418495756476
   - task:
       type: Classification
     dataset:
@@ -1604,9 +1604,9 @@ model-index:
       revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
-      value: 78.61802286482852
+      value: 79.22663080026899
     - type: f1
-      value: 78.76695988384789
+      value: 79.331456217501
   - task:
       type: Clustering
     dataset:
@@ -1617,7 +1617,7 @@ model-index:
       revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
     metrics:
     - type: v_measure
-      value: 34.212621347614174
+      value: 34.50316010430136
   - task:
       type: Clustering
     dataset:
@@ -1628,7 +1628,7 @@ model-index:
       revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
     metrics:
     - type: v_measure
-      value: 31.899728392028948
+      value: 32.15612040042282
   - task:
       type: Reranking
     dataset:
@@ -1639,9 +1639,9 @@ model-index:
       revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
     metrics:
     - type: map
-      value: 32.190245086632466
+      value: 32.36227552557184
     - type: mrr
-      value: 33.424442963159876
+      value: 33.57901344209811
   - task:
       type: Retrieval
     dataset:
@@ -1652,65 +1652,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 6.141
+      value: 5.6610000000000005
     - type: map_at_10
-      value: 13.558
+      value: 12.992
     - type: map_at_100
-      value: 17.238
+      value: 16.756999999999998
     - type: map_at_1000
-      value: 18.727
+      value: 18.25
     - type: map_at_3
-      value: 9.803
+      value: 9.471
     - type: map_at_5
-      value: 11.517
+      value: 11.116
     - type: mrr_at_1
-      value: 46.129999999999995
+      value: 43.653
     - type: mrr_at_10
-      value: 54.876999999999995
+      value: 53.388999999999996
     - type: mrr_at_100
-      value: 55.428999999999995
+      value: 53.982
     - type: mrr_at_1000
-      value: 55.47
+      value: 54.033
     - type: mrr_at_3
-      value: 52.993
+      value: 51.858000000000004
     - type: mrr_at_5
-      value: 54.107000000000006
+      value: 53.019000000000005
     - type: ndcg_at_1
-      value: 43.963
+      value: 41.641
     - type: ndcg_at_10
-      value: 35.72
+      value: 34.691
     - type: ndcg_at_100
-      value: 32.792
+      value: 32.305
     - type: ndcg_at_1000
-      value: 41.52
+      value: 41.132999999999996
     - type: ndcg_at_3
-      value: 40.929
+      value: 40.614
     - type: ndcg_at_5
-      value: 38.664
+      value: 38.456
     - type: precision_at_1
-      value: 45.82
+      value: 43.344
     - type: precision_at_10
-      value: 26.625
+      value: 25.881999999999998
     - type: precision_at_100
-      value: 8.387
+      value: 8.483
     - type: precision_at_1000
       value: 2.131
     - type: precision_at_3
-      value: 38.39
+      value: 38.803
     - type: precision_at_5
-      value: 33.56
+      value: 33.87
     - type: recall_at_1
-      value: 6.141
+      value: 5.6610000000000005
     - type: recall_at_10
-      value: 17.598
+      value: 16.826
     - type: recall_at_100
-      value: 33.619
+      value: 32.939
     - type: recall_at_1000
-      value: 64.455
+      value: 65.161
     - type: recall_at_3
-      value: 10.667
+      value: 10.756
     - type: recall_at_5
-      value: 13.492999999999999
+      value: 13.331000000000001
   - task:
       type: Retrieval
     dataset:
@@ -1721,65 +1721,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.019
+      value: 26.692
     - type: map_at_10
-      value: 40.644999999999996
+      value: 41.065000000000005
     - type: map_at_100
-      value: 41.870000000000005
+      value: 42.235
     - type: map_at_1000
-      value: 41.904
+      value: 42.27
     - type: map_at_3
-      value: 36.28
+      value: 36.635
     - type: map_at_5
-      value: 38.830999999999996
+      value: 39.219
     - type: mrr_at_1
-      value: 29.664
+      value: 30.214000000000002
     - type: mrr_at_10
-      value: 43.168
+      value: 43.443
     - type: mrr_at_100
-      value: 44.126
+      value: 44.326
     - type: mrr_at_1000
-      value: 44.151
+      value: 44.352000000000004
     - type: mrr_at_3
-      value: 39.484
+      value: 39.623999999999995
     - type: mrr_at_5
-      value: 41.702
+      value: 41.898
     - type: ndcg_at_1
-      value: 29.635
+      value: 30.214000000000002
     - type: ndcg_at_10
-      value: 48.284
+      value: 48.692
     - type: ndcg_at_100
-      value: 53.522999999999996
+      value: 53.671
     - type: ndcg_at_1000
-      value: 54.344
+      value: 54.522000000000006
     - type: ndcg_at_3
-      value: 40.048
+      value: 40.245
     - type: ndcg_at_5
-      value: 44.329
+      value: 44.580999999999996
     - type: precision_at_1
-      value: 29.635
+      value: 30.214000000000002
     - type: precision_at_10
-      value: 8.262
+      value: 8.3
     - type: precision_at_100
-      value: 1.1159999999999999
+      value: 1.1079999999999999
     - type: precision_at_1000
       value: 0.11900000000000001
     - type: precision_at_3
-      value: 18.54
+      value: 18.521
     - type: precision_at_5
-      value: 13.586
+      value: 13.627
     - type: recall_at_1
-      value: 26.019
+      value: 26.692
     - type: recall_at_10
-      value: 69.049
+      value: 69.699
     - type: recall_at_100
-      value: 91.89399999999999
+      value: 91.425
     - type: recall_at_1000
-      value: 98.095
+      value: 97.78099999999999
     - type: recall_at_3
-      value: 47.81
+      value: 47.711
     - type: recall_at_5
-      value: 57.645
+      value: 57.643
   - task:
       type: Retrieval
     dataset:
@@ -1790,65 +1790,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 70.952
+      value: 70.962
     - type: map_at_10
-      value: 84.895
+      value: 84.772
     - type: map_at_100
-      value: 85.51299999999999
+      value: 85.402
     - type: map_at_1000
-      value: 85.529
+      value: 85.418
     - type: map_at_3
-      value: 81.94500000000001
+      value: 81.89
     - type: map_at_5
-      value: 83.83500000000001
+      value: 83.685
     - type: mrr_at_1
-      value: 81.65
+      value: 81.67
     - type: mrr_at_10
-      value: 87.756
+      value: 87.681
     - type: mrr_at_100
-      value: 87.855
+      value: 87.792
     - type: mrr_at_1000
-      value: 87.856
+      value: 87.79299999999999
     - type: mrr_at_3
-      value: 86.822
+      value: 86.803
     - type: mrr_at_5
-      value: 87.473
+      value: 87.392
     - type: ndcg_at_1
-      value: 81.65
+      value: 81.69
     - type: ndcg_at_10
-      value: 88.563
+      value: 88.429
     - type: ndcg_at_100
-      value: 89.74499999999999
+      value: 89.66
     - type: ndcg_at_1000
-      value: 89.84400000000001
+      value: 89.762
     - type: ndcg_at_3
-      value: 85.782
+      value: 85.75
     - type: ndcg_at_5
-      value: 87.381
+      value: 87.20700000000001
     - type: precision_at_1
-      value: 81.65
+      value: 81.69
     - type: precision_at_10
-      value: 13.435
+      value: 13.395000000000001
     - type: precision_at_100
-      value: 1.529
+      value: 1.528
     - type: precision_at_1000
       value: 0.157
     - type: precision_at_3
-      value: 37.523
+      value: 37.507000000000005
     - type: precision_at_5
-      value: 24.72
+      value: 24.614
     - type: recall_at_1
-      value: 70.952
+      value: 70.962
     - type: recall_at_10
-      value: 95.521
+      value: 95.339
     - type: recall_at_100
-      value: 99.53699999999999
+      value: 99.543
     - type: recall_at_1000
-      value: 99.983
+      value: 99.984
     - type: recall_at_3
-      value: 87.559
+      value: 87.54899999999999
     - type: recall_at_5
-      value: 92.038
+      value: 91.726
   - task:
       type: Clustering
     dataset:
@@ -1859,7 +1859,7 @@ model-index:
       revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
     metrics:
     - type: v_measure
-      value: 54.61973943122806
+      value: 55.506631779239555
   - task:
       type: Clustering
     dataset:
@@ -1870,7 +1870,7 @@ model-index:
       revision: 282350215ef01743dc01b456c7f5241fa8937f16
     metrics:
     - type: v_measure
-      value: 60.92179806944469
+      value: 60.63731341848479
   - task:
       type: Retrieval
     dataset:
@@ -1881,65 +1881,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 4.993
+      value: 4.852
     - type: map_at_10
-      value: 13.175999999999998
+      value: 13.175
     - type: map_at_100
-      value: 15.689
+      value: 15.623999999999999
     - type: map_at_1000
-      value: 16.054
+      value: 16.002
     - type: map_at_3
-      value: 9.325999999999999
+      value: 9.103
     - type: map_at_5
-      value: 11.283
+      value: 11.068999999999999
     - type: mrr_at_1
-      value: 24.7
+      value: 23.9
     - type: mrr_at_10
-      value: 36.568
+      value: 35.847
     - type: mrr_at_100
-      value: 37.667
+      value: 36.968
     - type: mrr_at_1000
-      value: 37.714
+      value: 37.018
     - type: mrr_at_3
-      value: 32.933
+      value: 32.300000000000004
     - type: mrr_at_5
-      value: 34.963
+      value: 34.14
     - type: ndcg_at_1
-      value: 24.7
+      value: 23.9
     - type: ndcg_at_10
-      value: 21.839
+      value: 21.889
     - type: ndcg_at_100
-      value: 31.057000000000002
+      value: 30.903000000000002
     - type: ndcg_at_1000
-      value: 36.962
+      value: 36.992000000000004
     - type: ndcg_at_3
-      value: 20.623
+      value: 20.274
     - type: ndcg_at_5
-      value: 18.107
+      value: 17.773
     - type: precision_at_1
-      value: 24.7
+      value: 23.9
     - type: precision_at_10
-      value: 11.360000000000001
+      value: 11.61
     - type: precision_at_100
-      value: 2.4619999999999997
+      value: 2.4539999999999997
     - type: precision_at_1000
-      value: 0.388
+      value: 0.391
     - type: precision_at_3
-      value: 19.267
+      value: 19.133
     - type: precision_at_5
-      value: 15.959999999999999
+      value: 15.740000000000002
     - type: recall_at_1
-      value: 4.993
+      value: 4.852
     - type: recall_at_10
-      value: 22.982
+      value: 23.507
     - type: recall_at_100
-      value: 49.97
+      value: 49.775000000000006
     - type: recall_at_1000
-      value: 78.623
+      value: 79.308
     - type: recall_at_3
-      value: 11.716999999999999
+      value: 11.637
     - type: recall_at_5
-      value: 16.172
+      value: 15.947
   - task:
       type: STS
     dataset:
@@ -1950,17 +1950,17 @@ model-index:
       revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
     metrics:
     - type: cos_sim_pearson
-      value: 85.71899431421795
+      value: 86.03345827446948
     - type: cos_sim_spearman
-      value: 80.46430776062674
+      value: 80.53174518259549
     - type: euclidean_pearson
-      value: 83.02871101280735
+      value: 83.44538971660883
     - type: euclidean_spearman
-      value: 80.49525009964952
+      value: 80.57344324098692
     - type: manhattan_pearson
-      value: 82.96176477360466
+      value: 83.36528808195459
     - type: manhattan_spearman
-      value: 80.4038922852272
+      value: 80.48931287157902
   - task:
       type: STS
     dataset:
@@ -1971,17 +1971,17 @@ model-index:
       revision: a0d554a64d88156834ff5ae9920b964011b16384
     metrics:
     - type: cos_sim_pearson
-      value: 85.4473643076464
+      value: 85.21363088257881
     - type: cos_sim_spearman
-      value: 76.2648833265373
+      value: 75.56589127055523
     - type: euclidean_pearson
-      value: 82.5498605585181
+      value: 82.32868324521908
     - type: euclidean_spearman
-      value: 76.06458177068038
+      value: 75.31928550664554
     - type: manhattan_pearson
-      value: 82.55572570767087
+      value: 82.31332875713211
     - type: manhattan_spearman
-      value: 76.1267237133785
+      value: 75.35376322099196
   - task:
       type: STS
     dataset:
@@ -1992,17 +1992,17 @@ model-index:
       revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
     metrics:
     - type: cos_sim_pearson
-      value: 85.24858438337428
+      value: 85.09085593258487
     - type: cos_sim_spearman
-      value: 86.42907705680409
+      value: 86.26355088415221
     - type: euclidean_pearson
-      value: 85.50673274898077
+      value: 85.49646115361156
     - type: euclidean_spearman
-      value: 86.50066760759493
+      value: 86.20652472228703
     - type: manhattan_pearson
-      value: 85.38098024332331
+      value: 85.44084081123815
     - type: manhattan_spearman
-      value: 86.3179935859058
+      value: 86.1162623448951
   - task:
       type: STS
     dataset:
@@ -2013,17 +2013,17 @@ model-index:
       revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
     metrics:
     - type: cos_sim_pearson
-      value: 84.97052112858252
+      value: 84.68250248349368
     - type: cos_sim_spearman
-      value: 82.97007079944963
+      value: 82.29883673695083
     - type: euclidean_pearson
-      value: 84.49118913390151
+      value: 84.17633035446019
     - type: euclidean_spearman
-      value: 82.89912124589944
+      value: 82.19990511264791
     - type: manhattan_pearson
-      value: 84.45725470158602
+      value: 84.17408410692279
     - type: manhattan_spearman
-      value: 82.89422444440467
+      value: 82.249873895981
   - task:
       type: STS
     dataset:
@@ -2034,17 +2034,17 @@ model-index:
       revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
     metrics:
     - type: cos_sim_pearson
-      value: 87.44702160696032
+      value: 87.31878760045024
     - type: cos_sim_spearman
-      value: 88.75678661413305
+      value: 88.7364409031183
     - type: euclidean_pearson
-      value: 88.22046240533754
+      value: 88.230537618603
     - type: euclidean_spearman
-      value: 88.78103010580752
+      value: 88.76484309646318
     - type: manhattan_pearson
-      value: 88.15576644132916
+      value: 88.17689071136469
     - type: manhattan_spearman
-      value: 88.72891963379698
+      value: 88.72809249037928
   - task:
       type: STS
     dataset:
@@ -2055,17 +2055,17 @@ model-index:
       revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
     metrics:
     - type: cos_sim_pearson
-      value: 83.25112584874732
+      value: 83.41078559110638
     - type: cos_sim_spearman
-      value: 85.0642487018319
+      value: 85.27439135411049
     - type: euclidean_pearson
-      value: 84.37279427321502
+      value: 84.5333571592088
     - type: euclidean_spearman
-      value: 85.074198902509
+      value: 85.25645460575957
     - type: manhattan_pearson
-      value: 84.19323050597049
+      value: 84.38428921610226
     - type: manhattan_spearman
-      value: 84.88383717319327
+      value: 85.07796040798796
   - task:
       type: STS
     dataset:
@@ -2076,17 +2076,17 @@ model-index:
       revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
     metrics:
     - type: cos_sim_pearson
-      value: 88.87357291874198
+      value: 88.82374132382576
     - type: cos_sim_spearman
-      value: 89.1113081854716
+      value: 89.02101343562433
     - type: euclidean_pearson
-      value: 89.61137598923361
+      value: 89.50729765458932
     - type: euclidean_spearman
-      value: 89.13391070267475
+      value: 89.04184772869253
     - type: manhattan_pearson
-      value: 89.62382071829829
+      value: 89.51737904059856
     - type: manhattan_spearman
-      value: 89.1997962715288
+      value: 89.12925950440676
   - task:
       type: STS
     dataset:
@@ -2097,17 +2097,17 @@ model-index:
       revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
     metrics:
     - type: cos_sim_pearson
-      value: 67.1205707180893
+      value: 67.56051823873482
     - type: cos_sim_spearman
-      value: 68.16260851835224
+      value: 68.50988748185463
     - type: euclidean_pearson
-      value: 68.87294373141141
+      value: 69.16524346147456
     - type: euclidean_spearman
-      value: 67.98447223948163
+      value: 68.61859952449579
     - type: manhattan_pearson
-      value: 68.98950941915248
+      value: 69.10618915706995
     - type: manhattan_spearman
-      value: 68.29388343776796
+      value: 68.36401769459522
   - task:
       type: STS
     dataset:
@@ -2118,17 +2118,17 @@ model-index:
       revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
     metrics:
     - type: cos_sim_pearson
-      value: 85.9949201588004
+      value: 85.4159693872625
     - type: cos_sim_spearman
-      value: 87.31663820432567
+      value: 87.07819121764247
     - type: euclidean_pearson
-      value: 87.27979534770259
+      value: 87.03013260863153
     - type: euclidean_spearman
-      value: 87.31872069375427
+      value: 87.06547293631309
     - type: manhattan_pearson
-      value: 87.0783256942344
+      value: 86.8129744446062
     - type: manhattan_spearman
-      value: 87.16038562428714
+      value: 86.88494096335627
   - task:
       type: Reranking
     dataset:
@@ -2139,9 +2139,9 @@ model-index:
       revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
     metrics:
     - type: map
-      value: 86.08173708317305
+      value: 86.47758088996575
     - type: mrr
-      value: 95.93575179359493
+      value: 96.17891458577733
   - task:
       type: Retrieval
     dataset:
@@ -2152,65 +2152,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 57.65
+      value: 57.538999999999994
     - type: map_at_10
-      value: 67.19000000000001
+      value: 66.562
     - type: map_at_100
-      value: 67.772
+      value: 67.254
     - type: map_at_1000
-      value: 67.805
+      value: 67.284
     - type: map_at_3
-      value: 64.14800000000001
+      value: 63.722
     - type: map_at_5
-      value: 65.745
+      value: 65.422
     - type: mrr_at_1
-      value: 60.333000000000006
+      value: 60.0
     - type: mrr_at_10
-      value: 68.158
+      value: 67.354
     - type: mrr_at_100
-      value: 68.583
+      value: 67.908
     - type: mrr_at_1000
-      value: 68.613
+      value: 67.93299999999999
     - type: mrr_at_3
-      value: 65.72200000000001
+      value: 65.056
     - type: mrr_at_5
-      value: 67.039
+      value: 66.43900000000001
     - type: ndcg_at_1
-      value: 60.333000000000006
+      value: 60.0
     - type: ndcg_at_10
-      value: 71.69200000000001
+      value: 70.858
     - type: ndcg_at_100
-      value: 74.064
+      value: 73.67099999999999
     - type: ndcg_at_1000
-      value: 74.694
+      value: 74.26700000000001
     - type: ndcg_at_3
-      value: 66.378
+      value: 65.911
     - type: ndcg_at_5
-      value: 68.73
+      value: 68.42200000000001
     - type: precision_at_1
-      value: 60.333000000000006
+      value: 60.0
     - type: precision_at_10
-      value: 9.533
+      value: 9.4
     - type: precision_at_100
-      value: 1.08
+      value: 1.083
     - type: precision_at_1000
       value: 0.11299999999999999
     - type: precision_at_3
-      value: 25.556
+      value: 25.444
     - type: precision_at_5
       value: 17.0
     - type: recall_at_1
-      value: 57.65
+      value: 57.538999999999994
     - type: recall_at_10
-      value: 84.56700000000001
+      value: 83.233
     - type: recall_at_100
-      value: 95.167
+      value: 95.667
     - type: recall_at_1000
-      value: 99.667
+      value: 100.0
     - type: recall_at_3
-      value: 70.272
+      value: 69.883
     - type: recall_at_5
-      value: 76.11099999999999
+      value: 76.19399999999999
   - task:
       type: PairClassification
     dataset:
@@ -2221,51 +2221,51 @@ model-index:
       revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
     metrics:
     - type: cos_sim_accuracy
-      value: 99.83663366336634
+      value: 99.82574257425742
     - type: cos_sim_ap
-      value: 96.13854487816917
+      value: 95.78722833053911
     - type: cos_sim_f1
-      value: 91.77057356608479
+      value: 90.94650205761316
     - type: cos_sim_precision
-      value: 91.54228855721394
+      value: 93.64406779661016
     - type: cos_sim_recall
-      value: 92.0
+      value: 88.4
     - type: dot_accuracy
-      value: 99.83663366336634
+      value: 99.83366336633664
     - type: dot_ap
-      value: 96.29459284844314
+      value: 95.89733601612964
     - type: dot_f1
-      value: 91.6030534351145
+      value: 91.41981613891727
     - type: dot_precision
-      value: 93.26424870466322
+      value: 93.42379958246346
     - type: dot_recall
-      value: 90.0
+      value: 89.5
     - type: euclidean_accuracy
-      value: 99.83564356435643
+      value: 99.82574257425742
     - type: euclidean_ap
-      value: 96.09957152523418
+      value: 95.75227035138846
     - type: euclidean_f1
-      value: 91.7
+      value: 90.96509240246407
     - type: euclidean_precision
-      value: 91.7
+      value: 93.45991561181435
     - type: euclidean_recall
-      value: 91.7
+      value: 88.6
     - type: manhattan_accuracy
-      value: 99.83663366336634
+      value: 99.82574257425742
     - type: manhattan_ap
-      value: 96.09579952373399
+      value: 95.76278266220176
     - type: manhattan_f1
-      value: 91.72932330827068
+      value: 91.08409321175279
     - type: manhattan_precision
-      value: 91.95979899497488
+      value: 92.29979466119097
     - type: manhattan_recall
-      value: 91.5
+      value: 89.9
     - type: max_accuracy
-      value: 99.83663366336634
+      value: 99.83366336633664
     - type: max_ap
-      value: 96.29459284844314
+      value: 95.89733601612964
     - type: max_f1
-      value: 91.77057356608479
+      value: 91.41981613891727
   - task:
       type: Clustering
     dataset:
@@ -2276,7 +2276,7 @@ model-index:
       revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
     metrics:
     - type: v_measure
-      value: 61.270213664772385
+      value: 61.905425988638605
   - task:
       type: Clustering
     dataset:
@@ -2287,7 +2287,7 @@ model-index:
       revision: 815ca46b2622cec33ccafc3735d572c266efdb44
     metrics:
     - type: v_measure
-      value: 35.23973443659002
+      value: 36.159589881679736
   - task:
       type: Reranking
     dataset:
@@ -2298,9 +2298,9 @@ model-index:
       revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
     metrics:
     - type: map
-      value: 53.40061413824656
+      value: 53.0605499476397
     - type: mrr
-      value: 54.28819444444445
+      value: 53.91594516594517
   - task:
       type: Summarization
     dataset:
@@ -2311,13 +2311,13 @@ model-index:
       revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
     metrics:
     - type: cos_sim_pearson
-      value: 30.59314409717665
+      value: 30.202718009067
     - type: cos_sim_spearman
-      value: 30.573109955748677
+      value: 31.136199912366987
     - type: dot_pearson
-      value: 30.884662900409722
+      value: 30.66329011927951
     - type: dot_spearman
-      value: 30.778591618272262
+      value: 30.107664909625107
   - task:
       type: Retrieval
     dataset:
@@ -2328,65 +2328,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 0.20400000000000001
+      value: 0.209
     - type: map_at_10
-      value: 1.7229999999999999
+      value: 1.712
     - type: map_at_100
-      value: 9.185
+      value: 9.464
     - type: map_at_1000
-      value: 23.019000000000002
+      value: 23.437
     - type: map_at_3
-      value: 0.596
+      value: 0.609
     - type: map_at_5
-      value: 0.9339999999999999
+      value: 0.9440000000000001
     - type: mrr_at_1
       value: 78.0
     - type: mrr_at_10
-      value: 85.5
+      value: 86.833
     - type: mrr_at_100
-      value: 85.682
+      value: 86.833
     - type: mrr_at_1000
-      value: 85.682
+      value: 86.833
     - type: mrr_at_3
-      value: 84.0
+      value: 85.333
     - type: mrr_at_5
-      value: 85.5
+      value: 86.833
     - type: ndcg_at_1
-      value: 73.0
+      value: 74.0
     - type: ndcg_at_10
-      value: 68.28
+      value: 69.14
     - type: ndcg_at_100
-      value: 52.239000000000004
+      value: 53.047999999999995
     - type: ndcg_at_1000
-      value: 48.217
+      value: 48.577
     - type: ndcg_at_3
-      value: 72.603
+      value: 75.592
     - type: ndcg_at_5
-      value: 70.64099999999999
+      value: 72.509
     - type: precision_at_1
       value: 78.0
     - type: precision_at_10
-      value: 72.39999999999999
+      value: 73.0
     - type: precision_at_100
-      value: 53.459999999999994
+      value: 54.44
     - type: precision_at_1000
-      value: 21.254
+      value: 21.326
     - type: precision_at_3
-      value: 78.0
+      value: 80.667
     - type: precision_at_5
-      value: 74.8
+      value: 77.2
     - type: recall_at_1
-      value: 0.20400000000000001
+      value: 0.209
     - type: recall_at_10
-      value: 1.939
+      value: 1.932
     - type: recall_at_100
-      value: 12.831000000000001
+      value: 13.211999999999998
     - type: recall_at_1000
-      value: 45.572
+      value: 45.774
     - type: recall_at_3
-      value: 0.628
+      value: 0.644
     - type: recall_at_5
-      value: 1.004
+      value: 1.0290000000000001
   - task:
       type: Retrieval
     dataset:
@@ -2397,65 +2397,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 1.693
+      value: 2.609
     - type: map_at_10
-      value: 7.7410000000000005
+      value: 8.334999999999999
     - type: map_at_100
-      value: 13.778000000000002
+      value: 14.604000000000001
     - type: map_at_1000
-      value: 15.328
+      value: 16.177
     - type: map_at_3
-      value: 4.361000000000001
+      value: 4.87
     - type: map_at_5
-      value: 5.534
+      value: 6.3149999999999995
     - type: mrr_at_1
-      value: 20.408
+      value: 32.653
     - type: mrr_at_10
-      value: 37.008
+      value: 45.047
     - type: mrr_at_100
-      value: 38.198
+      value: 45.808
     - type: mrr_at_1000
-      value: 38.216
+      value: 45.808
     - type: mrr_at_3
-      value: 32.993
+      value: 41.497
     - type: mrr_at_5
-      value: 34.83
+      value: 43.231
     - type: ndcg_at_1
-      value: 18.367
+      value: 30.612000000000002
     - type: ndcg_at_10
-      value: 19.676
+      value: 21.193
     - type: ndcg_at_100
-      value: 33.421
+      value: 34.97
     - type: ndcg_at_1000
-      value: 45.123999999999995
+      value: 46.69
     - type: ndcg_at_3
-      value: 22.109
+      value: 24.823
     - type: ndcg_at_5
-      value: 20.166999999999998
+      value: 22.872999999999998
     - type: precision_at_1
-      value: 20.408
+      value: 32.653
     - type: precision_at_10
-      value: 17.551
+      value: 17.959
     - type: precision_at_100
-      value: 7.286
+      value: 7.4079999999999995
     - type: precision_at_1000
-      value: 1.516
+      value: 1.537
     - type: precision_at_3
-      value: 23.810000000000002
+      value: 25.85
     - type: precision_at_5
-      value: 20.408
+      value: 22.448999999999998
     - type: recall_at_1
-      value: 1.693
+      value: 2.609
     - type: recall_at_10
-      value: 13.485
+      value: 13.63
     - type: recall_at_100
-      value: 46.361000000000004
+      value: 47.014
     - type: recall_at_1000
-      value: 81.997
+      value: 83.176
     - type: recall_at_3
-      value: 5.432
+      value: 5.925
     - type: recall_at_5
-      value: 7.797
+      value: 8.574
   - task:
       type: Classification
     dataset:
@@ -2466,11 +2466,11 @@ model-index:
       revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
     metrics:
     - type: accuracy
-      value: 70.6774
+      value: 72.80239999999999
     - type: ap
-      value: 14.243691983984998
+      value: 15.497911013214791
     - type: f1
-      value: 54.45105895755751
+      value: 56.258411577947285
   - task:
       type: Classification
     dataset:
@@ -2481,9 +2481,9 @@ model-index:
       revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
     metrics:
     - type: accuracy
-      value: 60.0509337860781
+      value: 61.00452744765139
     - type: f1
-      value: 60.424197644605236
+      value: 61.42228624410908
   - task:
       type: Clustering
     dataset:
@@ -2494,7 +2494,7 @@ model-index:
       revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
     metrics:
     - type: v_measure
-      value: 49.94452711339773
+      value: 50.00516915962345
   - task:
       type: PairClassification
     dataset:
@@ -2505,51 +2505,51 @@ model-index:
       revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
     metrics:
     - type: cos_sim_accuracy
-      value: 85.75430649102938
+      value: 85.62317458425225
     - type: cos_sim_ap
-      value: 73.38576407567363
+      value: 72.95115658063823
     - type: cos_sim_f1
-      value: 67.47549019607844
+      value: 66.78976523344764
     - type: cos_sim_precision
-      value: 62.99771167048055
+      value: 66.77215189873418
     - type: cos_sim_recall
-      value: 72.63852242744063
+      value: 66.80738786279683
     - type: dot_accuracy
-      value: 85.67681945520653
+      value: 85.62317458425225
     - type: dot_ap
-      value: 73.37650773516077
+      value: 73.10385271517778
     - type: dot_f1
-      value: 67.56520653937352
+      value: 66.94853829427399
     - type: dot_precision
-      value: 64.1013497513616
+      value: 61.74242424242424
     - type: dot_recall
-      value: 71.42480211081794
+      value: 73.11345646437995
     - type: euclidean_accuracy
-      value: 85.76622757346367
+      value: 85.65893783155511
     - type: euclidean_ap
-      value: 73.31834510956003
+      value: 72.87428208473992
     - type: euclidean_f1
-      value: 67.40331491712708
+      value: 66.70919994896005
     - type: euclidean_precision
-      value: 60.780156879372484
+      value: 64.5910551025451
     - type: euclidean_recall
-      value: 75.64643799472296
+      value: 68.97097625329816
     - type: manhattan_accuracy
-      value: 85.73046432616081
+      value: 85.59933241938367
     - type: manhattan_ap
-      value: 73.10120518588954
+      value: 72.67282695064966
     - type: manhattan_f1
-      value: 67.34183545886471
+      value: 66.67537215983286
     - type: manhattan_precision
-      value: 63.997148288973385
+      value: 66.00310237849017
     - type: manhattan_recall
-      value: 71.05540897097626
+      value: 67.36147757255937
     - type: max_accuracy
-      value: 85.76622757346367
+      value: 85.65893783155511
     - type: max_ap
-      value: 73.38576407567363
+      value: 73.10385271517778
     - type: max_f1
-      value: 67.56520653937352
+      value: 66.94853829427399
   - task:
       type: PairClassification
     dataset:
@@ -2560,51 +2560,51 @@ model-index:
       revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
     metrics:
     - type: cos_sim_accuracy
-      value: 88.71424690495596
+      value: 88.69096130709822
     - type: cos_sim_ap
-      value: 85.42819672981983
+      value: 85.30326978668063
     - type: cos_sim_f1
-      value: 77.76150014649868
+      value: 77.747088683189
     - type: cos_sim_precision
-      value: 74.15479184129646
+      value: 75.4491451753115
     - type: cos_sim_recall
-      value: 81.73698798891284
+      value: 80.189405605174
     - type: dot_accuracy
-      value: 88.45810532852097
+      value: 88.43870066363954
     - type: dot_ap
-      value: 84.78667227857513
+      value: 84.62999949222983
     - type: dot_f1
-      value: 77.29539996305192
+      value: 77.3074661963551
     - type: dot_precision
-      value: 74.30560488740498
+      value: 73.93871239808828
     - type: dot_recall
-      value: 80.53587927317524
+      value: 80.99784416384355
     - type: euclidean_accuracy
-      value: 88.73171110334924
+      value: 88.70066363953894
     - type: euclidean_ap
-      value: 85.46052151213301
+      value: 85.34184508966621
     - type: euclidean_f1
-      value: 77.79939075861563
+      value: 77.76871756856931
     - type: euclidean_precision
-      value: 74.33200084157374
+      value: 74.97855917667239
     - type: euclidean_recall
-      value: 81.60609793655682
+      value: 80.77456113335386
     - type: manhattan_accuracy
-      value: 88.75111576823068
+      value: 88.68319944114566
     - type: manhattan_ap
-      value: 85.4412901701619
+      value: 85.3026464242333
     - type: manhattan_f1
-      value: 77.72423325488437
+      value: 77.66561049296294
     - type: manhattan_precision
-      value: 75.48799071184965
+      value: 74.4665818849795
     - type: manhattan_recall
-      value: 80.09701262704034
+      value: 81.15183246073299
     - type: max_accuracy
-      value: 88.75111576823068
+      value: 88.70066363953894
     - type: max_ap
-      value: 85.46052151213301
+      value: 85.34184508966621
     - type: max_f1
-      value: 77.79939075861563
+      value: 77.76871756856931
 ---
 <h1 align="center">GIST small Embedding v0</h1>
 

commit-info.json

@@ -1 +1 @@
-{"repo_id": "avsolatorio/01-100-11-1-2-2-0-0-cls-normed-384-512_GIST_BAAI_bge-small-en-v1.5-20240202160129-latest", "commit_message": "{\"loss\": 0.3888, \"learning_rate\": 1.121687722138157e-06, \"epoch\": 0.9, \"step\": 102000}"}
+{"repo_id": "avsolatorio/01-100-11-1-2-2-0-0-cls-normed-384-512_GIST_BAAI_bge-small-en-v1.5-20240210215734-latest", "commit_message": "{\"loss\": 0.3166, \"learning_rate\": 3.3265738818312985e-06, \"epoch\": 2.66, \"step\": 302500}"}

config.json

@@ -24,7 +24,7 @@
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.37.1",
+  "transformers_version": "4.37.2",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:efa751a822b7eb0a7db5d0167b6e38ffd6ad1978e71de205d7c0efedcc18bf2a
 size 133462128