Update README.md

README.md

@@ -10,6 +10,9 @@ datasets:
   - jinaai/negation-dataset
 language: en
 license: apache-2.0
+---
+tags:
+- mteb
 model-index:
 - name: jina-embedding-s-en-v1
   results:
@@ -23,11 +26,11 @@ model-index:
       revision: e8379541af4e31359cca9fbcf4b00f2671dba205
     metrics:
     - type: accuracy
-      value: 64.58208955223881
+      value: 64.82089552238806
     - type: ap
-      value: 27.24359671025387
+      value: 27.100981946230778
     - type: f1
-      value: 58.201387941715495
+      value: 58.3354886367184
   - task:
       type: Classification
     dataset:
@@ -38,11 +41,11 @@ model-index:
       revision: e2d317d38cd51312af73b3d32a06d1a08b442046
     metrics:
     - type: accuracy
-      value: 61.926550000000006
+      value: 64.282775
     - type: ap
-      value: 58.40954250092862
+      value: 60.350688924943796
     - type: f1
-      value: 59.921771639047904
+      value: 62.06346948494396
   - task:
       type: Classification
     dataset:
@@ -53,9 +56,9 @@ model-index:
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
-      value: 28.499999999999996
+      value: 30.623999999999995
     - type: f1
-      value: 27.160929516206465
+      value: 29.427789186742153
   - task:
       type: Retrieval
     dataset:
@@ -66,65 +69,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 22.262
+      value: 22.119
     - type: map_at_10
-      value: 36.677
+      value: 35.609
     - type: map_at_100
-      value: 37.839
+      value: 36.935
     - type: map_at_1000
-      value: 37.857
+      value: 36.957
     - type: map_at_3
-      value: 31.685999999999996
+      value: 31.046000000000003
     - type: map_at_5
-      value: 34.544999999999995
+      value: 33.574
     - type: mrr_at_1
       value: 22.404
     - type: mrr_at_10
-      value: 36.713
+      value: 35.695
     - type: mrr_at_100
-      value: 37.881
+      value: 37.021
     - type: mrr_at_1000
-      value: 37.899
+      value: 37.043
     - type: mrr_at_3
-      value: 31.709
+      value: 31.093
     - type: mrr_at_5
-      value: 34.629
+      value: 33.635999999999996
     - type: ndcg_at_1
-      value: 22.262
+      value: 22.119
     - type: ndcg_at_10
-      value: 45.18
+      value: 43.566
     - type: ndcg_at_100
-      value: 50.4
+      value: 49.370000000000005
     - type: ndcg_at_1000
-      value: 50.841
+      value: 49.901
     - type: ndcg_at_3
-      value: 34.882000000000005
+      value: 34.06
     - type: ndcg_at_5
-      value: 40.036
+      value: 38.653999999999996
     - type: precision_at_1
-      value: 22.262
+      value: 22.119
     - type: precision_at_10
-      value: 7.255000000000001
+      value: 6.92
     - type: precision_at_100
-      value: 0.959
+      value: 0.95
     - type: precision_at_1000
       value: 0.099
     - type: precision_at_3
-      value: 14.723
+      value: 14.272000000000002
     - type: precision_at_5
-      value: 11.337
+      value: 10.811
     - type: recall_at_1
-      value: 22.262
+      value: 22.119
     - type: recall_at_10
-      value: 72.54599999999999
+      value: 69.203
     - type: recall_at_100
-      value: 95.946
+      value: 95.021
     - type: recall_at_1000
-      value: 99.36
+      value: 99.075
     - type: recall_at_3
-      value: 44.168
+      value: 42.817
     - type: recall_at_5
-      value: 56.686
+      value: 54.054
   - task:
       type: Clustering
     dataset:
@@ -135,7 +138,7 @@ model-index:
       revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
     metrics:
     - type: v_measure
-      value: 34.97570470844357
+      value: 34.1740289109719
   - task:
       type: Clustering
     dataset:
@@ -146,7 +149,7 @@ model-index:
       revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
     metrics:
     - type: v_measure
-      value: 24.372872291698265
+      value: 23.985251383455463
   - task:
       type: Reranking
     dataset:
@@ -157,9 +160,9 @@ model-index:
       revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
     metrics:
     - type: map
-      value: 60.58753030525579
+      value: 60.24873612289029
     - type: mrr
-      value: 75.03484588664644
+      value: 74.65692740623489
   - task:
       type: STS
     dataset:
@@ -170,17 +173,17 @@ model-index:
       revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
     metrics:
     - type: cos_sim_pearson
-      value: 85.21378425036666
+      value: 86.22415390332444
     - type: cos_sim_spearman
-      value: 80.45665253651644
+      value: 82.9591191954711
     - type: euclidean_pearson
-      value: 46.71436482437946
+      value: 44.096317524324945
     - type: euclidean_spearman
-      value: 45.13476336596072
+      value: 42.95218351391625
     - type: manhattan_pearson
-      value: 47.06449770246884
+      value: 44.07766490545065
     - type: manhattan_spearman
-      value: 45.498627078529
+      value: 42.78350497166606
   - task:
       type: Classification
     dataset:
@@ -191,9 +194,9 @@ model-index:
       revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
     metrics:
     - type: accuracy
-      value: 74.48701298701299
+      value: 74.64285714285714
     - type: f1
-      value: 73.30813366682357
+      value: 73.53680835577447
   - task:
       type: Clustering
     dataset:
@@ -204,7 +207,7 @@ model-index:
       revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
     metrics:
     - type: v_measure
-      value: 29.66289767477026
+      value: 28.512813238490164
   - task:
       type: Clustering
     dataset:
@@ -215,7 +218,904 @@ model-index:
       revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
     metrics:
     - type: v_measure
-      value: 22.324367934720776
+      value: 20.942214972649488
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.255999999999997
+    - type: map_at_10
+      value: 37.091
+    - type: map_at_100
+      value: 38.428000000000004
+    - type: map_at_1000
+      value: 38.559
+    - type: map_at_3
+      value: 34.073
+    - type: map_at_5
+      value: 35.739
+    - type: mrr_at_1
+      value: 34.907
+    - type: mrr_at_10
+      value: 42.769
+    - type: mrr_at_100
+      value: 43.607
+    - type: mrr_at_1000
+      value: 43.656
+    - type: mrr_at_3
+      value: 39.986
+    - type: mrr_at_5
+      value: 41.581
+    - type: ndcg_at_1
+      value: 34.907
+    - type: ndcg_at_10
+      value: 42.681000000000004
+    - type: ndcg_at_100
+      value: 48.213
+    - type: ndcg_at_1000
+      value: 50.464
+    - type: ndcg_at_3
+      value: 37.813
+    - type: ndcg_at_5
+      value: 39.936
+    - type: precision_at_1
+      value: 34.907
+    - type: precision_at_10
+      value: 7.911
+    - type: precision_at_100
+      value: 1.349
+    - type: precision_at_1000
+      value: 0.184
+    - type: precision_at_3
+      value: 17.93
+    - type: precision_at_5
+      value: 12.732
+    - type: recall_at_1
+      value: 28.255999999999997
+    - type: recall_at_10
+      value: 53.49699999999999
+    - type: recall_at_100
+      value: 77.288
+    - type: recall_at_1000
+      value: 91.776
+    - type: recall_at_3
+      value: 39.18
+    - type: recall_at_5
+      value: 45.365
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.563999999999997
+    - type: map_at_10
+      value: 33.913
+    - type: map_at_100
+      value: 34.966
+    - type: map_at_1000
+      value: 35.104
+    - type: map_at_3
+      value: 31.413000000000004
+    - type: map_at_5
+      value: 32.854
+    - type: mrr_at_1
+      value: 31.72
+    - type: mrr_at_10
+      value: 39.391
+    - type: mrr_at_100
+      value: 40.02
+    - type: mrr_at_1000
+      value: 40.076
+    - type: mrr_at_3
+      value: 37.314
+    - type: mrr_at_5
+      value: 38.507999999999996
+    - type: ndcg_at_1
+      value: 31.72
+    - type: ndcg_at_10
+      value: 38.933
+    - type: ndcg_at_100
+      value: 43.024
+    - type: ndcg_at_1000
+      value: 45.556999999999995
+    - type: ndcg_at_3
+      value: 35.225
+    - type: ndcg_at_5
+      value: 36.984
+    - type: precision_at_1
+      value: 31.72
+    - type: precision_at_10
+      value: 7.248
+    - type: precision_at_100
+      value: 1.192
+    - type: precision_at_1000
+      value: 0.16999999999999998
+    - type: precision_at_3
+      value: 16.943
+    - type: precision_at_5
+      value: 11.975
+    - type: recall_at_1
+      value: 25.563999999999997
+    - type: recall_at_10
+      value: 47.808
+    - type: recall_at_100
+      value: 65.182
+    - type: recall_at_1000
+      value: 81.831
+    - type: recall_at_3
+      value: 36.889
+    - type: recall_at_5
+      value: 41.829
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 33.662
+    - type: map_at_10
+      value: 44.096999999999994
+    - type: map_at_100
+      value: 45.153999999999996
+    - type: map_at_1000
+      value: 45.223
+    - type: map_at_3
+      value: 41.377
+    - type: map_at_5
+      value: 42.935
+    - type: mrr_at_1
+      value: 38.997
+    - type: mrr_at_10
+      value: 47.675
+    - type: mrr_at_100
+      value: 48.476
+    - type: mrr_at_1000
+      value: 48.519
+    - type: mrr_at_3
+      value: 45.549
+    - type: mrr_at_5
+      value: 46.884
+    - type: ndcg_at_1
+      value: 38.997
+    - type: ndcg_at_10
+      value: 49.196
+    - type: ndcg_at_100
+      value: 53.788000000000004
+    - type: ndcg_at_1000
+      value: 55.393
+    - type: ndcg_at_3
+      value: 44.67
+    - type: ndcg_at_5
+      value: 46.991
+    - type: precision_at_1
+      value: 38.997
+    - type: precision_at_10
+      value: 7.875
+    - type: precision_at_100
+      value: 1.102
+    - type: precision_at_1000
+      value: 0.13
+    - type: precision_at_3
+      value: 19.854
+    - type: precision_at_5
+      value: 13.605
+    - type: recall_at_1
+      value: 33.662
+    - type: recall_at_10
+      value: 60.75899999999999
+    - type: recall_at_100
+      value: 81.11699999999999
+    - type: recall_at_1000
+      value: 92.805
+    - type: recall_at_3
+      value: 48.577999999999996
+    - type: recall_at_5
+      value: 54.384
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.313
+    - type: map_at_10
+      value: 29.036
+    - type: map_at_100
+      value: 29.975
+    - type: map_at_1000
+      value: 30.063000000000002
+    - type: map_at_3
+      value: 26.878999999999998
+    - type: map_at_5
+      value: 28.005999999999997
+    - type: mrr_at_1
+      value: 23.39
+    - type: mrr_at_10
+      value: 31.072
+    - type: mrr_at_100
+      value: 31.922
+    - type: mrr_at_1000
+      value: 31.995
+    - type: mrr_at_3
+      value: 28.908
+    - type: mrr_at_5
+      value: 30.104999999999997
+    - type: ndcg_at_1
+      value: 23.39
+    - type: ndcg_at_10
+      value: 33.448
+    - type: ndcg_at_100
+      value: 38.255
+    - type: ndcg_at_1000
+      value: 40.542
+    - type: ndcg_at_3
+      value: 29.060000000000002
+    - type: ndcg_at_5
+      value: 31.023
+    - type: precision_at_1
+      value: 23.39
+    - type: precision_at_10
+      value: 5.175
+    - type: precision_at_100
+      value: 0.8049999999999999
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 12.504999999999999
+    - type: precision_at_5
+      value: 8.61
+    - type: recall_at_1
+      value: 21.313
+    - type: recall_at_10
+      value: 45.345
+    - type: recall_at_100
+      value: 67.752
+    - type: recall_at_1000
+      value: 84.937
+    - type: recall_at_3
+      value: 33.033
+    - type: recall_at_5
+      value: 37.929
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.255999999999998
+    - type: map_at_10
+      value: 20.339
+    - type: map_at_100
+      value: 21.491
+    - type: map_at_1000
+      value: 21.616
+    - type: map_at_3
+      value: 18.481
+    - type: map_at_5
+      value: 19.594
+    - type: mrr_at_1
+      value: 17.413
+    - type: mrr_at_10
+      value: 24.146
+    - type: mrr_at_100
+      value: 25.188
+    - type: mrr_at_1000
+      value: 25.273
+    - type: mrr_at_3
+      value: 22.264
+    - type: mrr_at_5
+      value: 23.302
+    - type: ndcg_at_1
+      value: 17.413
+    - type: ndcg_at_10
+      value: 24.272
+    - type: ndcg_at_100
+      value: 29.82
+    - type: ndcg_at_1000
+      value: 33.072
+    - type: ndcg_at_3
+      value: 20.826
+    - type: ndcg_at_5
+      value: 22.535
+    - type: precision_at_1
+      value: 17.413
+    - type: precision_at_10
+      value: 4.366
+    - type: precision_at_100
+      value: 0.818
+    - type: precision_at_1000
+      value: 0.124
+    - type: precision_at_3
+      value: 9.866999999999999
+    - type: precision_at_5
+      value: 7.164
+    - type: recall_at_1
+      value: 14.255999999999998
+    - type: recall_at_10
+      value: 32.497
+    - type: recall_at_100
+      value: 56.592
+    - type: recall_at_1000
+      value: 80.17699999999999
+    - type: recall_at_3
+      value: 23.195
+    - type: recall_at_5
+      value: 27.392
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.709
+    - type: map_at_10
+      value: 31.377
+    - type: map_at_100
+      value: 32.536
+    - type: map_at_1000
+      value: 32.669
+    - type: map_at_3
+      value: 28.572999999999997
+    - type: map_at_5
+      value: 30.205
+    - type: mrr_at_1
+      value: 27.815
+    - type: mrr_at_10
+      value: 36.452
+    - type: mrr_at_100
+      value: 37.302
+    - type: mrr_at_1000
+      value: 37.364000000000004
+    - type: mrr_at_3
+      value: 33.75
+    - type: mrr_at_5
+      value: 35.43
+    - type: ndcg_at_1
+      value: 27.815
+    - type: ndcg_at_10
+      value: 36.84
+    - type: ndcg_at_100
+      value: 42.092
+    - type: ndcg_at_1000
+      value: 44.727
+    - type: ndcg_at_3
+      value: 31.964
+    - type: ndcg_at_5
+      value: 34.428
+    - type: precision_at_1
+      value: 27.815
+    - type: precision_at_10
+      value: 6.67
+    - type: precision_at_100
+      value: 1.093
+    - type: precision_at_1000
+      value: 0.151
+    - type: precision_at_3
+      value: 14.982000000000001
+    - type: precision_at_5
+      value: 10.857
+    - type: recall_at_1
+      value: 22.709
+    - type: recall_at_10
+      value: 48.308
+    - type: recall_at_100
+      value: 70.866
+    - type: recall_at_1000
+      value: 88.236
+    - type: recall_at_3
+      value: 34.709
+    - type: recall_at_5
+      value: 40.996
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.348000000000003
+    - type: map_at_10
+      value: 29.427999999999997
+    - type: map_at_100
+      value: 30.499
+    - type: map_at_1000
+      value: 30.631999999999998
+    - type: map_at_3
+      value: 27.035999999999998
+    - type: map_at_5
+      value: 28.351
+    - type: mrr_at_1
+      value: 27.74
+    - type: mrr_at_10
+      value: 34.424
+    - type: mrr_at_100
+      value: 35.341
+    - type: mrr_at_1000
+      value: 35.419
+    - type: mrr_at_3
+      value: 32.401
+    - type: mrr_at_5
+      value: 33.497
+    - type: ndcg_at_1
+      value: 27.74
+    - type: ndcg_at_10
+      value: 34.136
+    - type: ndcg_at_100
+      value: 39.269
+    - type: ndcg_at_1000
+      value: 42.263
+    - type: ndcg_at_3
+      value: 30.171999999999997
+    - type: ndcg_at_5
+      value: 31.956
+    - type: precision_at_1
+      value: 27.74
+    - type: precision_at_10
+      value: 6.062
+    - type: precision_at_100
+      value: 1.014
+    - type: precision_at_1000
+      value: 0.146
+    - type: precision_at_3
+      value: 14.079
+    - type: precision_at_5
+      value: 9.977
+    - type: recall_at_1
+      value: 22.348000000000003
+    - type: recall_at_10
+      value: 43.477
+    - type: recall_at_100
+      value: 65.945
+    - type: recall_at_1000
+      value: 86.587
+    - type: recall_at_3
+      value: 32.107
+    - type: recall_at_5
+      value: 36.974000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.688499999999998
+    - type: map_at_10
+      value: 29.164666666666665
+    - type: map_at_100
+      value: 30.22575
+    - type: map_at_1000
+      value: 30.350833333333334
+    - type: map_at_3
+      value: 26.82025
+    - type: map_at_5
+      value: 28.14966666666667
+    - type: mrr_at_1
+      value: 25.779249999999998
+    - type: mrr_at_10
+      value: 32.969
+    - type: mrr_at_100
+      value: 33.81725
+    - type: mrr_at_1000
+      value: 33.88825
+    - type: mrr_at_3
+      value: 30.831250000000004
+    - type: mrr_at_5
+      value: 32.065000000000005
+    - type: ndcg_at_1
+      value: 25.779249999999998
+    - type: ndcg_at_10
+      value: 33.73675
+    - type: ndcg_at_100
+      value: 38.635666666666665
+    - type: ndcg_at_1000
+      value: 41.353500000000004
+    - type: ndcg_at_3
+      value: 29.66283333333333
+    - type: ndcg_at_5
+      value: 31.607249999999997
+    - type: precision_at_1
+      value: 25.779249999999998
+    - type: precision_at_10
+      value: 5.861416666666667
+    - type: precision_at_100
+      value: 0.9852500000000002
+    - type: precision_at_1000
+      value: 0.14108333333333334
+    - type: precision_at_3
+      value: 13.563583333333332
+    - type: precision_at_5
+      value: 9.630333333333335
+    - type: recall_at_1
+      value: 21.688499999999998
+    - type: recall_at_10
+      value: 43.605
+    - type: recall_at_100
+      value: 65.52366666666667
+    - type: recall_at_1000
+      value: 84.69683333333332
+    - type: recall_at_3
+      value: 32.195499999999996
+    - type: recall_at_5
+      value: 37.25325
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.279
+    - type: map_at_10
+      value: 23.238
+    - type: map_at_100
+      value: 24.026
+    - type: map_at_1000
+      value: 24.13
+    - type: map_at_3
+      value: 20.730999999999998
+    - type: map_at_5
+      value: 22.278000000000002
+    - type: mrr_at_1
+      value: 19.017999999999997
+    - type: mrr_at_10
+      value: 25.188
+    - type: mrr_at_100
+      value: 25.918999999999997
+    - type: mrr_at_1000
+      value: 25.996999999999996
+    - type: mrr_at_3
+      value: 22.776
+    - type: mrr_at_5
+      value: 24.256
+    - type: ndcg_at_1
+      value: 19.017999999999997
+    - type: ndcg_at_10
+      value: 27.171
+    - type: ndcg_at_100
+      value: 31.274
+    - type: ndcg_at_1000
+      value: 34.016000000000005
+    - type: ndcg_at_3
+      value: 22.442
+    - type: ndcg_at_5
+      value: 24.955
+    - type: precision_at_1
+      value: 19.017999999999997
+    - type: precision_at_10
+      value: 4.494
+    - type: precision_at_100
+      value: 0.712
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 9.611
+    - type: precision_at_5
+      value: 7.331
+    - type: recall_at_1
+      value: 17.279
+    - type: recall_at_10
+      value: 37.464999999999996
+    - type: recall_at_100
+      value: 56.458
+    - type: recall_at_1000
+      value: 76.759
+    - type: recall_at_3
+      value: 24.659
+    - type: recall_at_5
+      value: 30.672
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.901
+    - type: map_at_10
+      value: 20.268
+    - type: map_at_100
+      value: 21.143
+    - type: map_at_1000
+      value: 21.264
+    - type: map_at_3
+      value: 18.557000000000002
+    - type: map_at_5
+      value: 19.483
+    - type: mrr_at_1
+      value: 17.997
+    - type: mrr_at_10
+      value: 23.591
+    - type: mrr_at_100
+      value: 24.387
+    - type: mrr_at_1000
+      value: 24.471
+    - type: mrr_at_3
+      value: 21.874
+    - type: mrr_at_5
+      value: 22.797
+    - type: ndcg_at_1
+      value: 17.997
+    - type: ndcg_at_10
+      value: 23.87
+    - type: ndcg_at_100
+      value: 28.459
+    - type: ndcg_at_1000
+      value: 31.66
+    - type: ndcg_at_3
+      value: 20.779
+    - type: ndcg_at_5
+      value: 22.137
+    - type: precision_at_1
+      value: 17.997
+    - type: precision_at_10
+      value: 4.25
+    - type: precision_at_100
+      value: 0.761
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 9.716
+    - type: precision_at_5
+      value: 6.909999999999999
+    - type: recall_at_1
+      value: 14.901
+    - type: recall_at_10
+      value: 31.44
+    - type: recall_at_100
+      value: 52.717000000000006
+    - type: recall_at_1000
+      value: 76.102
+    - type: recall_at_3
+      value: 22.675
+    - type: recall_at_5
+      value: 26.336
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.52
+    - type: map_at_10
+      value: 28.397
+    - type: map_at_100
+      value: 29.443
+    - type: map_at_1000
+      value: 29.56
+    - type: map_at_3
+      value: 26.501
+    - type: map_at_5
+      value: 27.375
+    - type: mrr_at_1
+      value: 25.28
+    - type: mrr_at_10
+      value: 32.102000000000004
+    - type: mrr_at_100
+      value: 33.005
+    - type: mrr_at_1000
+      value: 33.084
+    - type: mrr_at_3
+      value: 30.208000000000002
+    - type: mrr_at_5
+      value: 31.146
+    - type: ndcg_at_1
+      value: 25.28
+    - type: ndcg_at_10
+      value: 32.635
+    - type: ndcg_at_100
+      value: 37.672
+    - type: ndcg_at_1000
+      value: 40.602
+    - type: ndcg_at_3
+      value: 28.951999999999998
+    - type: ndcg_at_5
+      value: 30.336999999999996
+    - type: precision_at_1
+      value: 25.28
+    - type: precision_at_10
+      value: 5.3260000000000005
+    - type: precision_at_100
+      value: 0.8840000000000001
+    - type: precision_at_1000
+      value: 0.126
+    - type: precision_at_3
+      value: 12.687000000000001
+    - type: precision_at_5
+      value: 8.638
+    - type: recall_at_1
+      value: 21.52
+    - type: recall_at_10
+      value: 41.955
+    - type: recall_at_100
+      value: 64.21
+    - type: recall_at_1000
+      value: 85.28099999999999
+    - type: recall_at_3
+      value: 31.979999999999997
+    - type: recall_at_5
+      value: 35.406
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.296
+    - type: map_at_10
+      value: 28.449999999999996
+    - type: map_at_100
+      value: 29.847
+    - type: map_at_1000
+      value: 30.073
+    - type: map_at_3
+      value: 25.995
+    - type: map_at_5
+      value: 27.603
+    - type: mrr_at_1
+      value: 25.296000000000003
+    - type: mrr_at_10
+      value: 32.751999999999995
+    - type: mrr_at_100
+      value: 33.705
+    - type: mrr_at_1000
+      value: 33.783
+    - type: mrr_at_3
+      value: 30.731
+    - type: mrr_at_5
+      value: 32.006
+    - type: ndcg_at_1
+      value: 25.296000000000003
+    - type: ndcg_at_10
+      value: 33.555
+    - type: ndcg_at_100
+      value: 38.891999999999996
+    - type: ndcg_at_1000
+      value: 42.088
+    - type: ndcg_at_3
+      value: 29.944
+    - type: ndcg_at_5
+      value: 31.997999999999998
+    - type: precision_at_1
+      value: 25.296000000000003
+    - type: precision_at_10
+      value: 6.542000000000001
+    - type: precision_at_100
+      value: 1.354
+    - type: precision_at_1000
+      value: 0.22599999999999998
+    - type: precision_at_3
+      value: 14.360999999999999
+    - type: precision_at_5
+      value: 10.593
+    - type: recall_at_1
+      value: 20.296
+    - type: recall_at_10
+      value: 42.742000000000004
+    - type: recall_at_100
+      value: 67.351
+    - type: recall_at_1000
+      value: 88.774
+    - type: recall_at_3
+      value: 32.117000000000004
+    - type: recall_at_5
+      value: 37.788
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.157999999999998
+    - type: map_at_10
+      value: 24.342
+    - type: map_at_100
+      value: 25.201
+    - type: map_at_1000
+      value: 25.317
+    - type: map_at_3
+      value: 22.227
+    - type: map_at_5
+      value: 23.372999999999998
+    - type: mrr_at_1
+      value: 19.778000000000002
+    - type: mrr_at_10
+      value: 26.066
+    - type: mrr_at_100
+      value: 26.935
+    - type: mrr_at_1000
+      value: 27.022000000000002
+    - type: mrr_at_3
+      value: 24.214
+    - type: mrr_at_5
+      value: 25.268
+    - type: ndcg_at_1
+      value: 19.778000000000002
+    - type: ndcg_at_10
+      value: 28.104000000000003
+    - type: ndcg_at_100
+      value: 32.87
+    - type: ndcg_at_1000
+      value: 35.858000000000004
+    - type: ndcg_at_3
+      value: 24.107
+    - type: ndcg_at_5
+      value: 26.007
+    - type: precision_at_1
+      value: 19.778000000000002
+    - type: precision_at_10
+      value: 4.417999999999999
+    - type: precision_at_100
+      value: 0.739
+    - type: precision_at_1000
+      value: 0.109
+    - type: precision_at_3
+      value: 10.228
+    - type: precision_at_5
+      value: 7.172000000000001
+    - type: recall_at_1
+      value: 18.157999999999998
+    - type: recall_at_10
+      value: 37.967
+    - type: recall_at_100
+      value: 60.806000000000004
+    - type: recall_at_1000
+      value: 83.097
+    - type: recall_at_3
+      value: 27.223999999999997
+    - type: recall_at_5
+      value: 31.968000000000004
   - task:
       type: Retrieval
     dataset:
@@ -226,65 +1126,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 6.524000000000001
+      value: 7.055
     - type: map_at_10
-      value: 11.187
+      value: 11.609
     - type: map_at_100
-      value: 12.389999999999999
+      value: 12.83
     - type: map_at_1000
-      value: 12.559000000000001
+      value: 12.995000000000001
     - type: map_at_3
-      value: 9.386
+      value: 9.673
     - type: map_at_5
-      value: 10.295
+      value: 10.761999999999999
     - type: mrr_at_1
-      value: 13.941
+      value: 15.309000000000001
     - type: mrr_at_10
-      value: 22.742
+      value: 23.655
     - type: mrr_at_100
-      value: 23.896
+      value: 24.785
     - type: mrr_at_1000
-      value: 23.965
+      value: 24.856
     - type: mrr_at_3
-      value: 19.881
+      value: 20.499000000000002
     - type: mrr_at_5
-      value: 21.555
+      value: 22.425
     - type: ndcg_at_1
-      value: 13.941
+      value: 15.309000000000001
     - type: ndcg_at_10
-      value: 16.619999999999997
+      value: 17.252000000000002
     - type: ndcg_at_100
-      value: 22.415
+      value: 22.976
     - type: ndcg_at_1000
-      value: 26.05
+      value: 26.480999999999998
     - type: ndcg_at_3
-      value: 13.148000000000001
+      value: 13.418
     - type: ndcg_at_5
-      value: 14.433000000000002
+      value: 15.084
     - type: precision_at_1
-      value: 13.941
+      value: 15.309000000000001
     - type: precision_at_10
-      value: 5.153
+      value: 5.309
     - type: precision_at_100
-      value: 1.124
+      value: 1.1320000000000001
     - type: precision_at_1000
-      value: 0.178
+      value: 0.17600000000000002
     - type: precision_at_3
-      value: 9.685
+      value: 9.62
     - type: precision_at_5
-      value: 7.582999999999999
+      value: 7.883
     - type: recall_at_1
-      value: 6.524000000000001
+      value: 7.055
     - type: recall_at_10
-      value: 21.041999999999998
+      value: 21.891
     - type: recall_at_100
-      value: 41.515
+      value: 41.979
     - type: recall_at_1000
-      value: 62.507999999999996
+      value: 62.239999999999995
     - type: recall_at_3
-      value: 12.549
+      value: 12.722
     - type: recall_at_5
-      value: 15.939999999999998
+      value: 16.81
   - task:
       type: Retrieval
     dataset:
@@ -295,65 +1195,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 6.483
+      value: 6.909
     - type: map_at_10
-      value: 11.955
+      value: 12.844
     - type: map_at_100
-      value: 15.470999999999998
+      value: 16.435
     - type: map_at_1000
-      value: 16.308
+      value: 17.262
     - type: map_at_3
-      value: 9.292
+      value: 10.131
     - type: map_at_5
-      value: 10.459
+      value: 11.269
     - type: mrr_at_1
-      value: 50.74999999999999
+      value: 54.50000000000001
     - type: mrr_at_10
-      value: 58.743
+      value: 62.202
     - type: mrr_at_100
-      value: 59.41499999999999
+      value: 62.81
     - type: mrr_at_1000
-      value: 59.431999999999995
+      value: 62.824000000000005
     - type: mrr_at_3
-      value: 56.708000000000006
+      value: 60.5
     - type: mrr_at_5
-      value: 57.80800000000001
+      value: 61.324999999999996
     - type: ndcg_at_1
-      value: 39.0
+      value: 42.125
     - type: ndcg_at_10
-      value: 26.721
+      value: 28.284
     - type: ndcg_at_100
-      value: 29.366999999999997
+      value: 30.444
     - type: ndcg_at_1000
-      value: 35.618
+      value: 36.397
     - type: ndcg_at_3
-      value: 31.244
+      value: 33.439
     - type: ndcg_at_5
-      value: 28.614
+      value: 30.473
     - type: precision_at_1
-      value: 50.74999999999999
+      value: 54.50000000000001
     - type: precision_at_10
-      value: 20.45
+      value: 21.4
     - type: precision_at_100
-      value: 6.0600000000000005
+      value: 6.192
     - type: precision_at_1000
-      value: 1.346
+      value: 1.398
     - type: precision_at_3
-      value: 33.917
+      value: 36.583
     - type: precision_at_5
-      value: 26.950000000000003
+      value: 28.799999999999997
     - type: recall_at_1
-      value: 6.483
+      value: 6.909
     - type: recall_at_10
-      value: 16.215
+      value: 17.296
     - type: recall_at_100
-      value: 33.382
+      value: 33.925
     - type: recall_at_1000
-      value: 54.445
+      value: 53.786
     - type: recall_at_3
-      value: 10.6
+      value: 11.333
     - type: recall_at_5
-      value: 12.889999999999999
+      value: 13.529
   - task:
       type: Classification
     dataset:
@@ -364,9 +1264,9 @@ model-index:
       revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
     metrics:
     - type: accuracy
-      value: 34.39
+      value: 36.08
     - type: f1
-      value: 31.334865751249474
+      value: 33.016420191943766
   - task:
       type: Retrieval
     dataset:
@@ -377,65 +1277,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 44.698
+      value: 52.605000000000004
     - type: map_at_10
-      value: 55.30500000000001
+      value: 63.31400000000001
     - type: map_at_100
-      value: 55.838
+      value: 63.678000000000004
     - type: map_at_1000
-      value: 55.87
+      value: 63.699
     - type: map_at_3
-      value: 52.884
+      value: 61.141
     - type: map_at_5
-      value: 54.352000000000004
+      value: 62.517999999999994
     - type: mrr_at_1
-      value: 48.32
+      value: 56.871
     - type: mrr_at_10
-      value: 59.39
+      value: 67.915
     - type: mrr_at_100
-      value: 59.89
+      value: 68.24900000000001
     - type: mrr_at_1000
-      value: 59.913000000000004
+      value: 68.262
     - type: mrr_at_3
-      value: 56.977999999999994
+      value: 65.809
     - type: mrr_at_5
-      value: 58.44200000000001
+      value: 67.171
     - type: ndcg_at_1
-      value: 48.32
+      value: 56.871
     - type: ndcg_at_10
-      value: 61.23800000000001
+      value: 69.122
     - type: ndcg_at_100
-      value: 63.79
+      value: 70.855
     - type: ndcg_at_1000
-      value: 64.575
+      value: 71.368
     - type: ndcg_at_3
-      value: 56.489999999999995
+      value: 64.974
     - type: ndcg_at_5
-      value: 59.016999999999996
+      value: 67.318
     - type: precision_at_1
-      value: 48.32
+      value: 56.871
     - type: precision_at_10
-      value: 8.288
+      value: 9.029
     - type: precision_at_100
-      value: 0.964
+      value: 0.996
     - type: precision_at_1000
-      value: 0.104
+      value: 0.105
     - type: precision_at_3
-      value: 22.867
+      value: 25.893
     - type: precision_at_5
-      value: 15.098
+      value: 16.838
     - type: recall_at_1
-      value: 44.698
+      value: 52.605000000000004
     - type: recall_at_10
-      value: 75.752
+      value: 82.679
     - type: recall_at_100
-      value: 87.402
+      value: 90.586
     - type: recall_at_1000
-      value: 93.316
+      value: 94.38
     - type: recall_at_3
-      value: 62.82600000000001
+      value: 71.447
     - type: recall_at_5
-      value: 69.01899999999999
+      value: 77.218
   - task:
       type: Retrieval
     dataset:
@@ -446,65 +1346,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 12.119
+      value: 10.759
     - type: map_at_10
-      value: 20.299
+      value: 18.877
     - type: map_at_100
-      value: 21.863
+      value: 20.498
     - type: map_at_1000
-      value: 22.064
+      value: 20.682000000000002
     - type: map_at_3
-      value: 17.485999999999997
+      value: 16.159000000000002
     - type: map_at_5
-      value: 19.148
+      value: 17.575
     - type: mrr_at_1
-      value: 24.383
+      value: 22.531000000000002
     - type: mrr_at_10
-      value: 33.074
+      value: 31.155
     - type: mrr_at_100
-      value: 34.03
+      value: 32.188
     - type: mrr_at_1000
-      value: 34.102
+      value: 32.245000000000005
     - type: mrr_at_3
-      value: 30.736
+      value: 28.781000000000002
     - type: mrr_at_5
-      value: 32.202
+      value: 30.054
     - type: ndcg_at_1
-      value: 24.383
+      value: 22.531000000000002
     - type: ndcg_at_10
-      value: 26.645999999999997
+      value: 25.189
     - type: ndcg_at_100
-      value: 33.348
+      value: 31.958
     - type: ndcg_at_1000
-      value: 37.294
+      value: 35.693999999999996
     - type: ndcg_at_3
-      value: 23.677
+      value: 22.235
     - type: ndcg_at_5
-      value: 24.935
+      value: 23.044999999999998
     - type: precision_at_1
-      value: 24.383
+      value: 22.531000000000002
     - type: precision_at_10
-      value: 7.654
+      value: 7.438000000000001
     - type: precision_at_100
-      value: 1.461
+      value: 1.418
     - type: precision_at_1000
-      value: 0.214
+      value: 0.208
     - type: precision_at_3
-      value: 16.101
+      value: 15.329
     - type: precision_at_5
-      value: 12.222
+      value: 11.451
     - type: recall_at_1
-      value: 12.119
+      value: 10.759
     - type: recall_at_10
-      value: 32.531
+      value: 31.416
     - type: recall_at_100
-      value: 58.028999999999996
+      value: 56.989000000000004
     - type: recall_at_1000
-      value: 82.513
+      value: 80.33200000000001
     - type: recall_at_3
-      value: 21.787
+      value: 20.61
     - type: recall_at_5
-      value: 27.229999999999997
+      value: 24.903
   - task:
       type: Retrieval
     dataset:
@@ -515,65 +1415,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.057000000000002
+      value: 29.21
     - type: map_at_10
-      value: 34.892
+      value: 38.765
     - type: map_at_100
-      value: 35.687000000000005
+      value: 39.498
     - type: map_at_1000
-      value: 35.763
+      value: 39.568
     - type: map_at_3
-      value: 32.879000000000005
+      value: 36.699
     - type: map_at_5
-      value: 34.105000000000004
+      value: 37.925
     - type: mrr_at_1
-      value: 52.113
+      value: 58.42
     - type: mrr_at_10
-      value: 58.940000000000005
+      value: 65.137
     - type: mrr_at_100
-      value: 59.438
+      value: 65.542
     - type: mrr_at_1000
-      value: 59.473
+      value: 65.568
     - type: mrr_at_3
-      value: 57.299
+      value: 63.698
     - type: mrr_at_5
-      value: 58.353
+      value: 64.575
     - type: ndcg_at_1
-      value: 52.113
+      value: 58.42
     - type: ndcg_at_10
-      value: 43.105
+      value: 47.476
     - type: ndcg_at_100
-      value: 46.44
+      value: 50.466
     - type: ndcg_at_1000
-      value: 48.241
+      value: 52.064
     - type: ndcg_at_3
-      value: 39.566
+      value: 43.986
     - type: ndcg_at_5
-      value: 41.508
+      value: 45.824
     - type: precision_at_1
-      value: 52.113
+      value: 58.42
     - type: precision_at_10
-      value: 8.892999999999999
+      value: 9.649000000000001
     - type: precision_at_100
-      value: 1.1520000000000001
+      value: 1.201
     - type: precision_at_1000
-      value: 0.13899999999999998
+      value: 0.14100000000000001
     - type: precision_at_3
-      value: 24.398
+      value: 26.977
     - type: precision_at_5
-      value: 16.181
+      value: 17.642
     - type: recall_at_1
-      value: 26.057000000000002
+      value: 29.21
     - type: recall_at_10
-      value: 44.463
+      value: 48.244
     - type: recall_at_100
-      value: 57.616
+      value: 60.041
     - type: recall_at_1000
-      value: 69.65599999999999
+      value: 70.743
     - type: recall_at_3
-      value: 36.597
+      value: 40.466
     - type: recall_at_5
-      value: 40.452
+      value: 44.105
   - task:
       type: Classification
     dataset:
@@ -584,11 +1484,11 @@ model-index:
       revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
     metrics:
     - type: accuracy
-      value: 58.268399999999986
+      value: 58.7064
     - type: ap
-      value: 55.03852332714837
+      value: 55.36326227125519
     - type: f1
-      value: 57.23656436062262
+      value: 57.46763115215848
   - task:
       type: Retrieval
     dataset:
@@ -599,65 +1499,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 14.273
+      value: 15.889000000000001
     - type: map_at_10
-      value: 23.953
+      value: 25.979000000000003
     - type: map_at_100
-      value: 25.207
+      value: 27.21
     - type: map_at_1000
-      value: 25.285999999999998
+      value: 27.284000000000002
     - type: map_at_3
-      value: 20.727
+      value: 22.665
     - type: map_at_5
-      value: 22.492
+      value: 24.578
     - type: mrr_at_1
-      value: 14.685
+      value: 16.39
     - type: mrr_at_10
-      value: 24.423000000000002
+      value: 26.504
     - type: mrr_at_100
-      value: 25.64
+      value: 27.689999999999998
     - type: mrr_at_1000
-      value: 25.713
+      value: 27.758
     - type: mrr_at_3
-      value: 21.213
+      value: 23.24
     - type: mrr_at_5
-      value: 22.979
+      value: 25.108000000000004
     - type: ndcg_at_1
-      value: 14.685
+      value: 16.39
     - type: ndcg_at_10
-      value: 29.698
+      value: 31.799
     - type: ndcg_at_100
-      value: 36.010999999999996
+      value: 38.034
     - type: ndcg_at_1000
-      value: 38.102999999999994
+      value: 39.979
     - type: ndcg_at_3
-      value: 23.0
+      value: 25.054
     - type: ndcg_at_5
-      value: 26.186
+      value: 28.463
     - type: precision_at_1
-      value: 14.685
+      value: 16.39
     - type: precision_at_10
-      value: 4.954
+      value: 5.189
     - type: precision_at_100
-      value: 0.815
+      value: 0.835
     - type: precision_at_1000
-      value: 0.099
+      value: 0.1
     - type: precision_at_3
-      value: 10.038
+      value: 10.84
     - type: precision_at_5
-      value: 7.636
+      value: 8.238
     - type: recall_at_1
-      value: 14.273
+      value: 15.889000000000001
     - type: recall_at_10
-      value: 47.559000000000005
+      value: 49.739
     - type: recall_at_100
-      value: 77.375
+      value: 79.251
     - type: recall_at_1000
-      value: 93.616
+      value: 94.298
     - type: recall_at_3
-      value: 29.110999999999997
+      value: 31.427
     - type: recall_at_5
-      value: 36.825
+      value: 39.623000000000005
   - task:
       type: Classification
     dataset:
@@ -668,9 +1568,9 @@ model-index:
       revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
     metrics:
     - type: accuracy
-      value: 89.85636114911081
+      value: 88.81668946648426
     - type: f1
-      value: 89.65403786390279
+      value: 88.55200075528438
   - task:
       type: Classification
     dataset:
@@ -681,9 +1581,9 @@ model-index:
       revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
     metrics:
     - type: accuracy
-      value: 59.03784769721842
+      value: 58.611491108071135
     - type: f1
-      value: 42.57604111096128
+      value: 42.12391403999353
   - task:
       type: Classification
     dataset:
@@ -694,9 +1594,9 @@ model-index:
       revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
     metrics:
     - type: accuracy
-      value: 65.00336247478144
+      value: 64.67047747141896
     - type: f1
-      value: 63.12578076844032
+      value: 62.88410885922258
   - task:
       type: Classification
     dataset:
@@ -707,9 +1607,9 @@ model-index:
       revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
-      value: 72.14862138533962
+      value: 71.78547410894419
     - type: f1
-      value: 71.91174720216141
+      value: 71.69467869218154
   - task:
       type: Clustering
     dataset:
@@ -720,7 +1620,7 @@ model-index:
       revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
     metrics:
     - type: v_measure
-      value: 28.259326082067094
+      value: 27.23799937752035
   - task:
       type: Clustering
     dataset:
@@ -731,7 +1631,7 @@ model-index:
       revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
     metrics:
     - type: v_measure
-      value: 23.874256261395775
+      value: 23.26502601343789
   - task:
       type: Reranking
     dataset:
@@ -742,9 +1642,9 @@ model-index:
       revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
     metrics:
     - type: map
-      value: 29.251614283788385
+      value: 30.680711484149832
     - type: mrr
-      value: 29.9695581475798
+      value: 31.705059795117307
   - task:
       type: Retrieval
     dataset:
@@ -755,65 +1655,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 3.9309999999999996
+      value: 4.077
     - type: map_at_10
-      value: 8.472
+      value: 8.657
     - type: map_at_100
-      value: 10.461
+      value: 10.753
     - type: map_at_1000
-      value: 11.588
+      value: 11.885
     - type: map_at_3
-      value: 6.343999999999999
+      value: 6.5089999999999995
     - type: map_at_5
-      value: 7.379
+      value: 7.405
     - type: mrr_at_1
-      value: 35.913000000000004
+      value: 38.7
     - type: mrr_at_10
-      value: 43.91
+      value: 46.065
     - type: mrr_at_100
-      value: 44.519999999999996
+      value: 46.772000000000006
     - type: mrr_at_1000
-      value: 44.59
+      value: 46.83
     - type: mrr_at_3
-      value: 41.589
+      value: 44.118
     - type: mrr_at_5
-      value: 42.626
+      value: 45.015
     - type: ndcg_at_1
-      value: 34.52
+      value: 36.997
     - type: ndcg_at_10
-      value: 25.128
+      value: 25.96
     - type: ndcg_at_100
-      value: 22.917
+      value: 23.607
     - type: ndcg_at_1000
-      value: 31.64
+      value: 32.317
     - type: ndcg_at_3
-      value: 29.866999999999997
+      value: 31.06
     - type: ndcg_at_5
-      value: 27.494000000000003
+      value: 28.921000000000003
     - type: precision_at_1
-      value: 35.913000000000004
+      value: 38.7
     - type: precision_at_10
-      value: 18.607000000000003
+      value: 19.195
     - type: precision_at_100
-      value: 6.006
+      value: 6.164
     - type: precision_at_1000
-      value: 1.814
+      value: 1.839
     - type: precision_at_3
-      value: 28.277
+      value: 28.999000000000002
     - type: precision_at_5
-      value: 23.777
+      value: 25.014999999999997
     - type: recall_at_1
-      value: 3.9309999999999996
+      value: 4.077
     - type: recall_at_10
-      value: 11.684
+      value: 11.802
     - type: recall_at_100
-      value: 24.212
+      value: 24.365000000000002
     - type: recall_at_1000
-      value: 55.36
+      value: 55.277
     - type: recall_at_3
-      value: 7.329
+      value: 7.435
     - type: recall_at_5
-      value: 9.059000000000001
+      value: 8.713999999999999
   - task:
       type: Retrieval
     dataset:
@@ -824,65 +1724,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 19.03
+      value: 19.588
     - type: map_at_10
-      value: 30.990000000000002
+      value: 32.08
     - type: map_at_100
-      value: 32.211
+      value: 33.32
     - type: map_at_1000
-      value: 32.267
+      value: 33.377
     - type: map_at_3
-      value: 26.833000000000002
+      value: 28.166000000000004
     - type: map_at_5
-      value: 29.128
+      value: 30.383
     - type: mrr_at_1
-      value: 21.523999999999997
+      value: 22.161
     - type: mrr_at_10
-      value: 33.085
+      value: 34.121
     - type: mrr_at_100
-      value: 34.096
+      value: 35.171
     - type: mrr_at_1000
-      value: 34.139
+      value: 35.214
     - type: mrr_at_3
-      value: 29.354999999999997
+      value: 30.692000000000004
     - type: mrr_at_5
-      value: 31.441999999999997
+      value: 32.706
     - type: ndcg_at_1
-      value: 21.495
+      value: 22.131999999999998
     - type: ndcg_at_10
-      value: 37.971
+      value: 38.887
     - type: ndcg_at_100
-      value: 43.492999999999995
+      value: 44.433
     - type: ndcg_at_1000
-      value: 44.925
+      value: 45.823
     - type: ndcg_at_3
-      value: 29.808
+      value: 31.35
     - type: ndcg_at_5
-      value: 33.748
+      value: 35.144
     - type: precision_at_1
-      value: 21.495
+      value: 22.131999999999998
     - type: precision_at_10
-      value: 6.819
+      value: 6.8629999999999995
     - type: precision_at_100
-      value: 0.991
+      value: 0.993
     - type: precision_at_1000
-      value: 0.11299999999999999
+      value: 0.11199999999999999
     - type: precision_at_3
-      value: 13.886000000000001
+      value: 14.706
     - type: precision_at_5
-      value: 10.574
+      value: 10.972999999999999
     - type: recall_at_1
-      value: 19.03
+      value: 19.588
     - type: recall_at_10
-      value: 57.493
+      value: 57.703
     - type: recall_at_100
-      value: 82.03200000000001
+      value: 82.194
     - type: recall_at_1000
-      value: 92.879
+      value: 92.623
     - type: recall_at_3
-      value: 35.899
+      value: 38.012
     - type: recall_at_5
-      value: 45.092
+      value: 46.847
   - task:
       type: Retrieval
     dataset:
@@ -893,65 +1793,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 67.97
+      value: 68.038
     - type: map_at_10
-      value: 81.478
+      value: 81.572
     - type: map_at_100
-      value: 82.147
+      value: 82.25200000000001
     - type: map_at_1000
-      value: 82.172
+      value: 82.27600000000001
     - type: map_at_3
-      value: 78.456
+      value: 78.618
     - type: map_at_5
-      value: 80.337
+      value: 80.449
     - type: mrr_at_1
-      value: 78.24
+      value: 78.31
     - type: mrr_at_10
-      value: 84.941
+      value: 84.98
     - type: mrr_at_100
-      value: 85.08099999999999
+      value: 85.122
     - type: mrr_at_1000
-      value: 85.083
+      value: 85.124
     - type: mrr_at_3
-      value: 83.743
+      value: 83.852
     - type: mrr_at_5
-      value: 84.553
+      value: 84.6
     - type: ndcg_at_1
-      value: 78.24
+      value: 78.31
     - type: ndcg_at_10
-      value: 85.61999999999999
+      value: 85.693
     - type: ndcg_at_100
-      value: 87.113
+      value: 87.191
     - type: ndcg_at_1000
-      value: 87.318
+      value: 87.386
     - type: ndcg_at_3
-      value: 82.403
+      value: 82.585
     - type: ndcg_at_5
-      value: 84.15700000000001
+      value: 84.255
     - type: precision_at_1
-      value: 78.24
+      value: 78.31
     - type: precision_at_10
-      value: 12.979
+      value: 12.986
     - type: precision_at_100
-      value: 1.503
+      value: 1.505
     - type: precision_at_1000
       value: 0.156
     - type: precision_at_3
-      value: 35.9
+      value: 36.007
     - type: precision_at_5
-      value: 23.704
+      value: 23.735999999999997
     - type: recall_at_1
-      value: 67.97
+      value: 68.038
     - type: recall_at_10
-      value: 93.563
+      value: 93.598
     - type: recall_at_100
-      value: 98.834
+      value: 98.869
     - type: recall_at_1000
-      value: 99.901
+      value: 99.86500000000001
     - type: recall_at_3
-      value: 84.319
+      value: 84.628
     - type: recall_at_5
-      value: 89.227
+      value: 89.316
   - task:
       type: Clustering
     dataset:
@@ -962,7 +1862,7 @@ model-index:
       revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
     metrics:
     - type: v_measure
-      value: 35.853649010160694
+      value: 37.948231664922865
   - task:
       type: Clustering
     dataset:
@@ -973,7 +1873,7 @@ model-index:
       revision: 282350215ef01743dc01b456c7f5241fa8937f16
     metrics:
     - type: v_measure
-      value: 47.270443152349415
+      value: 49.90597913763894
   - task:
       type: Retrieval
     dataset:
@@ -984,65 +1884,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 3.803
+      value: 3.753
     - type: map_at_10
-      value: 8.790000000000001
+      value: 8.915
     - type: map_at_100
-      value: 10.313
+      value: 10.374
     - type: map_at_1000
-      value: 10.562000000000001
+      value: 10.612
     - type: map_at_3
-      value: 6.483
+      value: 6.577
     - type: map_at_5
-      value: 7.591
+      value: 7.8
     - type: mrr_at_1
-      value: 18.7
+      value: 18.4
     - type: mrr_at_10
-      value: 27.349
+      value: 27.325
     - type: mrr_at_100
-      value: 28.474
+      value: 28.419
     - type: mrr_at_1000
-      value: 28.544999999999998
+      value: 28.494000000000003
     - type: mrr_at_3
-      value: 24.567
+      value: 24.349999999999998
     - type: mrr_at_5
-      value: 26.172
+      value: 26.205000000000002
     - type: ndcg_at_1
-      value: 18.7
+      value: 18.4
     - type: ndcg_at_10
-      value: 15.155
+      value: 15.293000000000001
     - type: ndcg_at_100
-      value: 21.63
+      value: 21.592
     - type: ndcg_at_1000
-      value: 26.595999999999997
+      value: 26.473000000000003
     - type: ndcg_at_3
-      value: 14.706
+      value: 14.748
     - type: ndcg_at_5
-      value: 12.681999999999999
+      value: 12.98
     - type: precision_at_1
-      value: 18.7
+      value: 18.4
     - type: precision_at_10
-      value: 7.6899999999999995
+      value: 7.779999999999999
     - type: precision_at_100
-      value: 1.7080000000000002
+      value: 1.693
     - type: precision_at_1000
-      value: 0.291
+      value: 0.28800000000000003
     - type: precision_at_3
-      value: 13.567000000000002
+      value: 13.700000000000001
     - type: precision_at_5
-      value: 10.9
+      value: 11.379999999999999
     - type: recall_at_1
-      value: 3.803
+      value: 3.753
     - type: recall_at_10
-      value: 15.607
+      value: 15.806999999999999
     - type: recall_at_100
-      value: 34.717999999999996
+      value: 34.37
     - type: recall_at_1000
-      value: 59.150000000000006
+      value: 58.463
     - type: recall_at_3
-      value: 8.258000000000001
+      value: 8.338
     - type: recall_at_5
-      value: 11.063
+      value: 11.538
   - task:
       type: STS
     dataset:
@@ -1053,17 +1953,17 @@ model-index:
       revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
     metrics:
     - type: cos_sim_pearson
-      value: 81.05755556071047
+      value: 82.58843987639705
     - type: cos_sim_spearman
-      value: 72.44408263672771
+      value: 76.33071660715956
     - type: euclidean_pearson
-      value: 71.65314814604668
+      value: 72.8029921002978
     - type: euclidean_spearman
-      value: 65.1833695751109
+      value: 69.34534284782808
     - type: manhattan_pearson
-      value: 71.81874115177355
+      value: 72.49781034973653
     - type: manhattan_spearman
-      value: 65.45940792270201
+      value: 69.24754112621694
   - task:
       type: STS
     dataset:
@@ -1074,17 +1974,17 @@ model-index:
       revision: a0d554a64d88156834ff5ae9920b964011b16384
     metrics:
     - type: cos_sim_pearson
-      value: 81.75836272926722
+      value: 83.31673079903189
     - type: cos_sim_spearman
-      value: 73.63905703662927
+      value: 74.27699263517789
     - type: euclidean_pearson
-      value: 67.58539517215293
+      value: 69.4008910999579
     - type: euclidean_spearman
-      value: 58.88440181413321
+      value: 59.0716984643048
     - type: manhattan_pearson
-      value: 66.56872028174024
+      value: 68.87342686919199
     - type: manhattan_spearman
-      value: 58.48195528793699
+      value: 58.904612865335025
   - task:
       type: STS
     dataset:
@@ -1095,17 +1995,17 @@ model-index:
       revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
     metrics:
     - type: cos_sim_pearson
-      value: 76.58680032464127
+      value: 77.59122302327788
     - type: cos_sim_spearman
-      value: 78.03760988363273
+      value: 78.55383586979005
     - type: euclidean_pearson
-      value: 68.23192805876019
+      value: 68.18338642204289
     - type: euclidean_spearman
-      value: 69.21753515532978
+      value: 68.95092864180276
     - type: manhattan_pearson
-      value: 68.07876685109447
+      value: 68.08807059822706
     - type: manhattan_spearman
-      value: 69.08026107263751
+      value: 68.86135938270193
   - task:
       type: STS
     dataset:
@@ -1116,17 +2016,17 @@ model-index:
       revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
     metrics:
     - type: cos_sim_pearson
-      value: 78.72357139489792
+      value: 78.51766841424501
     - type: cos_sim_spearman
-      value: 74.53681843472086
+      value: 73.84318001499558
     - type: euclidean_pearson
-      value: 66.73161230236408
+      value: 67.2007138855177
     - type: euclidean_spearman
-      value: 63.81392957525887
+      value: 63.98672842723766
     - type: manhattan_pearson
-      value: 66.33322201893088
+      value: 67.17773810895949
     - type: manhattan_spearman
-      value: 63.55218357111819
+      value: 64.07359154832962
   - task:
       type: STS
     dataset:
@@ -1137,17 +2037,17 @@ model-index:
       revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
     metrics:
     - type: cos_sim_pearson
-      value: 82.62456549757793
+      value: 82.73438541570299
     - type: cos_sim_spearman
-      value: 83.89301877076606
+      value: 83.71357922283677
     - type: euclidean_pearson
-      value: 58.128415035981554
+      value: 57.50131347498546
     - type: euclidean_spearman
-      value: 58.47993973876889
+      value: 57.73623619252132
     - type: manhattan_pearson
-      value: 58.37634990795807
+      value: 58.082992079000725
     - type: manhattan_spearman
-      value: 58.89541748905865
+      value: 58.42728201167522
   - task:
       type: STS
     dataset:
@@ -1158,17 +2058,17 @@ model-index:
       revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
     metrics:
     - type: cos_sim_pearson
-      value: 76.79731685895317
+      value: 78.14794654172421
     - type: cos_sim_spearman
-      value: 79.04240201103201
+      value: 80.025736165043
     - type: euclidean_pearson
-      value: 64.26869512572189
+      value: 65.87773913985473
     - type: euclidean_spearman
-      value: 65.09728500847595
+      value: 66.69337751784794
     - type: manhattan_pearson
-      value: 64.2772185991136
+      value: 66.01039761004415
     - type: manhattan_spearman
-      value: 65.18852760227209
+      value: 66.89215027952318
   - task:
       type: STS
     dataset:
@@ -1179,17 +2079,17 @@ model-index:
       revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
     metrics:
     - type: cos_sim_pearson
-      value: 86.30962737077412
+      value: 87.10554507136152
     - type: cos_sim_spearman
-      value: 86.77386963770132
+      value: 87.4898082140765
     - type: euclidean_pearson
-      value: 70.0534100015362
+      value: 72.19391114541367
     - type: euclidean_spearman
-      value: 68.17903243639661
+      value: 70.36647944993783
     - type: manhattan_pearson
-      value: 70.03048392176451
+      value: 72.18680758133698
     - type: manhattan_spearman
-      value: 68.19594588464386
+      value: 70.3871215447305
   - task:
       type: STS
     dataset:
@@ -1200,17 +2100,17 @@ model-index:
       revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
     metrics:
     - type: cos_sim_pearson
-      value: 64.77791754851359
+      value: 64.54868111501618
     - type: cos_sim_spearman
-      value: 64.28210927783513
+      value: 64.25173617448473
     - type: euclidean_pearson
-      value: 36.337603238543956
+      value: 39.116088900637116
     - type: euclidean_spearman
-      value: 52.70617012481411
+      value: 53.300772929884
     - type: manhattan_pearson
-      value: 35.49141141164909
+      value: 38.3844195287959
     - type: manhattan_spearman
-      value: 52.084744319382835
+      value: 52.846675312001246
   - task:
       type: STS
     dataset:
@@ -1221,17 +2121,17 @@ model-index:
       revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
     metrics:
     - type: cos_sim_pearson
-      value: 79.741579322503
+      value: 80.04396610550214
     - type: cos_sim_spearman
-      value: 78.83687709048151
+      value: 79.19504854997832
     - type: euclidean_pearson
-      value: 66.59151974274772
+      value: 66.3284657637072
     - type: euclidean_spearman
-      value: 63.76907648545863
+      value: 63.69531796729492
     - type: manhattan_pearson
-      value: 66.91555116739791
+      value: 66.82324081038026
     - type: manhattan_spearman
-      value: 64.2024945118848
+      value: 64.18254512904923
   - task:
       type: Reranking
     dataset:
@@ -1242,9 +2142,9 @@ model-index:
       revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
     metrics:
     - type: map
-      value: 74.31125049985503
+      value: 74.16264051781705
     - type: mrr
-      value: 91.5911222038673
+      value: 91.80864796060874
   - task:
       type: Retrieval
     dataset:
@@ -1255,65 +2155,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 39.983000000000004
+      value: 38.983000000000004
     - type: map_at_10
-      value: 48.79
+      value: 47.858000000000004
     - type: map_at_100
-      value: 49.419999999999995
+      value: 48.695
     - type: map_at_1000
-      value: 49.495
+      value: 48.752
     - type: map_at_3
-      value: 46.394000000000005
+      value: 45.444
     - type: map_at_5
-      value: 47.772999999999996
+      value: 46.906
     - type: mrr_at_1
-      value: 42.667
+      value: 41.333
     - type: mrr_at_10
-      value: 51.088
+      value: 49.935
     - type: mrr_at_100
-      value: 51.498999999999995
+      value: 50.51
     - type: mrr_at_1000
-      value: 51.564
+      value: 50.55500000000001
     - type: mrr_at_3
-      value: 49.111
+      value: 47.833
     - type: mrr_at_5
-      value: 50.278
+      value: 49.117
     - type: ndcg_at_1
-      value: 42.667
+      value: 41.333
     - type: ndcg_at_10
-      value: 53.586999999999996
+      value: 52.398999999999994
     - type: ndcg_at_100
-      value: 56.519
+      value: 56.196
     - type: ndcg_at_1000
-      value: 58.479000000000006
+      value: 57.838
     - type: ndcg_at_3
-      value: 49.053000000000004
+      value: 47.987
     - type: ndcg_at_5
-      value: 51.209
+      value: 50.356
     - type: precision_at_1
-      value: 42.667
+      value: 41.333
     - type: precision_at_10
-      value: 7.3999999999999995
+      value: 7.167
     - type: precision_at_100
-      value: 0.9129999999999999
+      value: 0.9299999999999999
     - type: precision_at_1000
       value: 0.108
     - type: precision_at_3
-      value: 19.444
+      value: 19.0
     - type: precision_at_5
-      value: 13.067
+      value: 12.8
     - type: recall_at_1
-      value: 39.983000000000004
+      value: 38.983000000000004
     - type: recall_at_10
-      value: 66.333
+      value: 64.183
     - type: recall_at_100
-      value: 80.256
+      value: 82.02199999999999
     - type: recall_at_1000
-      value: 95.667
+      value: 95.167
     - type: recall_at_3
-      value: 53.449999999999996
+      value: 52.383
     - type: recall_at_5
-      value: 58.989000000000004
+      value: 58.411
   - task:
       type: PairClassification
     dataset:
@@ -1324,51 +2224,51 @@ model-index:
       revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
     metrics:
     - type: cos_sim_accuracy
-      value: 99.6930693069307
+      value: 99.8019801980198
     - type: cos_sim_ap
-      value: 90.94265768188356
+      value: 94.9287554635848
     - type: cos_sim_f1
-      value: 84.15792103948026
+      value: 89.83739837398375
     - type: cos_sim_precision
-      value: 84.11588411588411
+      value: 91.32231404958677
     - type: cos_sim_recall
-      value: 84.2
+      value: 88.4
     - type: dot_accuracy
-      value: 99.12178217821783
+      value: 99.23762376237623
     - type: dot_ap
-      value: 42.77306613711772
+      value: 55.22534191245801
     - type: dot_f1
-      value: 44.23963133640553
+      value: 54.054054054054056
     - type: dot_precision
-      value: 38.0677721701514
+      value: 55.15088449531738
     - type: dot_recall
-      value: 52.800000000000004
+      value: 53.0
     - type: euclidean_accuracy
-      value: 99.55049504950495
+      value: 99.6108910891089
     - type: euclidean_ap
-      value: 78.83886818298362
+      value: 82.5195111329438
     - type: euclidean_f1
-      value: 74.54645409565696
+      value: 78.2847718526663
     - type: euclidean_precision
-      value: 82.78388278388277
+      value: 86.93528693528694
     - type: euclidean_recall
-      value: 67.80000000000001
+      value: 71.2
     - type: manhattan_accuracy
-      value: 99.54257425742574
+      value: 99.5970297029703
     - type: manhattan_ap
-      value: 77.98046807031727
+      value: 81.96876777875492
     - type: manhattan_f1
-      value: 74.18822234452395
+      value: 77.33773377337734
     - type: manhattan_precision
-      value: 82.4969400244798
+      value: 85.94132029339853
     - type: manhattan_recall
-      value: 67.4
+      value: 70.3
     - type: max_accuracy
-      value: 99.6930693069307
+      value: 99.8019801980198
     - type: max_ap
-      value: 90.94265768188356
+      value: 94.9287554635848
     - type: max_f1
-      value: 84.15792103948026
+      value: 89.83739837398375
   - task:
       type: Clustering
     dataset:
@@ -1379,7 +2279,7 @@ model-index:
       revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
     metrics:
     - type: v_measure
-      value: 47.81120799399627
+      value: 46.34997003954114
   - task:
       type: Clustering
     dataset:
@@ -1390,7 +2290,7 @@ model-index:
       revision: 815ca46b2622cec33ccafc3735d572c266efdb44
     metrics:
     - type: v_measure
-      value: 29.82642033698617
+      value: 31.462336020554893
   - task:
       type: Reranking
     dataset:
@@ -1401,9 +2301,9 @@ model-index:
       revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
     metrics:
     - type: map
-      value: 47.861728758923675
+      value: 47.1757817459526
     - type: mrr
-      value: 48.53185213479331
+      value: 47.941057104660054
   - task:
       type: Summarization
     dataset:
@@ -1414,13 +2314,13 @@ model-index:
       revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
     metrics:
     - type: cos_sim_pearson
-      value: 30.09237795780992
+      value: 30.56106249068471
     - type: cos_sim_spearman
-      value: 28.95547545518808
+      value: 31.24613190558528
     - type: dot_pearson
-      value: 19.99986205111785
+      value: 20.486610035794257
     - type: dot_spearman
-      value: 21.34033389331779
+      value: 23.115667545894546
   - task:
       type: Retrieval
     dataset:
@@ -1431,65 +2331,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 0.169
+      value: 0.182
     - type: map_at_10
-      value: 1.077
+      value: 1.155
     - type: map_at_100
-      value: 4.9750000000000005
+      value: 5.118
     - type: map_at_1000
-      value: 11.802
+      value: 11.827
     - type: map_at_3
-      value: 0.48700000000000004
+      value: 0.482
     - type: map_at_5
-      value: 0.679
+      value: 0.712
     - type: mrr_at_1
-      value: 62.0
+      value: 70.0
     - type: mrr_at_10
-      value: 76.25
+      value: 79.483
     - type: mrr_at_100
-      value: 76.337
+      value: 79.637
     - type: mrr_at_1000
-      value: 76.337
+      value: 79.637
     - type: mrr_at_3
-      value: 74.333
+      value: 77.667
     - type: mrr_at_5
-      value: 75.333
+      value: 78.567
     - type: ndcg_at_1
-      value: 56.00000000000001
+      value: 63.0
     - type: ndcg_at_10
-      value: 50.631
+      value: 52.303
     - type: ndcg_at_100
-      value: 36.39
+      value: 37.361
     - type: ndcg_at_1000
-      value: 32.879000000000005
+      value: 32.84
     - type: ndcg_at_3
-      value: 59.961
+      value: 58.274
     - type: ndcg_at_5
-      value: 55.913999999999994
+      value: 55.601
     - type: precision_at_1
-      value: 62.0
+      value: 70.0
     - type: precision_at_10
-      value: 53.0
+      value: 55.60000000000001
     - type: precision_at_100
-      value: 37.2
+      value: 37.96
     - type: precision_at_1000
-      value: 14.804
+      value: 14.738000000000001
     - type: precision_at_3
-      value: 67.333
+      value: 62.666999999999994
     - type: precision_at_5
-      value: 60.4
+      value: 60.0
     - type: recall_at_1
-      value: 0.169
+      value: 0.182
     - type: recall_at_10
-      value: 1.324
+      value: 1.4120000000000001
     - type: recall_at_100
-      value: 8.352
+      value: 8.533
     - type: recall_at_1000
-      value: 31.041999999999998
+      value: 30.572
     - type: recall_at_3
-      value: 0.532
+      value: 0.5309999999999999
     - type: recall_at_5
-      value: 0.777
+      value: 0.814
   - task:
       type: Retrieval
     dataset:
@@ -1500,65 +2400,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 2.018
+      value: 1.385
     - type: map_at_10
-      value: 8.036
+      value: 7.185999999999999
     - type: map_at_100
-      value: 12.814
+      value: 11.642
     - type: map_at_1000
-      value: 14.204
+      value: 12.953000000000001
     - type: map_at_3
-      value: 3.9759999999999995
+      value: 3.496
     - type: map_at_5
-      value: 5.585
+      value: 4.82
     - type: mrr_at_1
-      value: 24.490000000000002
+      value: 16.326999999999998
     - type: mrr_at_10
-      value: 38.903
+      value: 29.461
     - type: mrr_at_100
-      value: 39.893
+      value: 31.436999999999998
     - type: mrr_at_1000
-      value: 39.895
+      value: 31.436999999999998
     - type: mrr_at_3
-      value: 35.034
+      value: 24.490000000000002
     - type: mrr_at_5
-      value: 37.789
+      value: 27.857
     - type: ndcg_at_1
-      value: 21.429000000000002
+      value: 14.285999999999998
     - type: ndcg_at_10
-      value: 20.082
+      value: 16.672
     - type: ndcg_at_100
-      value: 30.299
+      value: 28.691
     - type: ndcg_at_1000
-      value: 42.323
+      value: 39.817
     - type: ndcg_at_3
-      value: 19.826
+      value: 15.277
     - type: ndcg_at_5
-      value: 19.861
+      value: 15.823
     - type: precision_at_1
-      value: 24.490000000000002
+      value: 16.326999999999998
     - type: precision_at_10
-      value: 18.776
+      value: 15.509999999999998
     - type: precision_at_100
-      value: 6.551
+      value: 6.49
     - type: precision_at_1000
-      value: 1.455
+      value: 1.4080000000000001
     - type: precision_at_3
-      value: 21.088
+      value: 16.326999999999998
     - type: precision_at_5
-      value: 21.633
+      value: 16.735
     - type: recall_at_1
-      value: 2.018
+      value: 1.385
     - type: recall_at_10
-      value: 14.094999999999999
+      value: 12.586
     - type: recall_at_100
-      value: 40.482
+      value: 40.765
     - type: recall_at_1000
-      value: 78.214
+      value: 75.198
     - type: recall_at_3
-      value: 4.884
+      value: 4.326
     - type: recall_at_5
-      value: 8.203000000000001
+      value: 7.074999999999999
   - task:
       type: Classification
     dataset:
@@ -1569,11 +2469,11 @@ model-index:
       revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
     metrics:
     - type: accuracy
-      value: 59.69140000000001
+      value: 59.4402
     - type: ap
-      value: 10.299275820958274
+      value: 10.16922814263879
     - type: f1
-      value: 45.697311005218154
+      value: 45.374485104940476
   - task:
       type: Classification
     dataset:
@@ -1584,9 +2484,9 @@ model-index:
       revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
     metrics:
     - type: accuracy
-      value: 53.542727787209955
+      value: 54.25863044708545
     - type: f1
-      value: 53.59495510018717
+      value: 54.20154252609619
   - task:
       type: Clustering
     dataset:
@@ -1597,7 +2497,7 @@ model-index:
       revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
     metrics:
     - type: v_measure
-      value: 32.405659957745534
+      value: 34.3883169293051
   - task:
       type: PairClassification
     dataset:
@@ -1608,51 +2508,51 @@ model-index:
       revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
     metrics:
     - type: cos_sim_accuracy
-      value: 82.34487691482386
+      value: 81.76670441676104
     - type: cos_sim_ap
-      value: 61.4880638625752
+      value: 59.29878710961347
     - type: cos_sim_f1
-      value: 59.350775193798455
+      value: 57.33284971587474
     - type: cos_sim_precision
-      value: 54.858934169278996
+      value: 52.9122963624191
     - type: cos_sim_recall
-      value: 64.64379947229551
+      value: 62.559366754617415
     - type: dot_accuracy
-      value: 77.68373368301842
+      value: 77.52279907015557
     - type: dot_ap
-      value: 36.846940578266626
+      value: 34.17588904643467
     - type: dot_f1
-      value: 42.67407473787974
+      value: 41.063567529494634
     - type: dot_precision
-      value: 32.311032704573215
+      value: 30.813953488372093
     - type: dot_recall
-      value: 62.82321899736147
+      value: 61.53034300791557
     - type: euclidean_accuracy
-      value: 80.40770101925256
+      value: 80.61631996185254
     - type: euclidean_ap
-      value: 53.51906185864526
+      value: 54.00362361479352
     - type: euclidean_f1
-      value: 53.24030024315466
+      value: 53.99111751290361
     - type: euclidean_precision
-      value: 44.41700476274475
+      value: 49.52653600528518
     - type: euclidean_recall
-      value: 66.43799472295514
+      value: 59.340369393139845
     - type: manhattan_accuracy
-      value: 80.31829290099542
+      value: 80.65208320915539
     - type: manhattan_ap
-      value: 53.67183195163967
+      value: 54.18329507159467
     - type: manhattan_f1
-      value: 53.28358208955224
+      value: 53.85550960836779
     - type: manhattan_precision
-      value: 44.70483005366726
+      value: 49.954873646209386
     - type: manhattan_recall
-      value: 65.93667546174143
+      value: 58.41688654353562
     - type: max_accuracy
-      value: 82.34487691482386
+      value: 81.76670441676104
     - type: max_ap
-      value: 61.4880638625752
+      value: 59.29878710961347
     - type: max_f1
-      value: 59.350775193798455
+      value: 57.33284971587474
   - task:
       type: PairClassification
     dataset:
@@ -1663,52 +2563,51 @@ model-index:
       revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
     metrics:
     - type: cos_sim_accuracy
-      value: 87.71684713005007
+      value: 87.99433383785463
     - type: cos_sim_ap
-      value: 82.85441942604702
+      value: 83.43513915159009
     - type: cos_sim_f1
-      value: 75.69942543843179
+      value: 76.3906784964842
     - type: cos_sim_precision
-      value: 73.88754490140019
+      value: 73.19223985890653
     - type: cos_sim_recall
-      value: 77.60240221743148
+      value: 79.88142901139513
     - type: dot_accuracy
-      value: 82.23696976753212
+      value: 81.96142352621571
     - type: dot_ap
-      value: 68.47562727147806
+      value: 67.78764755689359
     - type: dot_f1
-      value: 64.99698249849123
+      value: 64.42823356983445
     - type: dot_precision
-      value: 57.566219265946074
+      value: 56.77801913931779
     - type: dot_recall
-      value: 74.63042808746535
+      value: 74.46104096088698
     - type: euclidean_accuracy
-      value: 81.52481856638336
+      value: 81.9478402607987
     - type: euclidean_ap
-      value: 65.96678666430529
+      value: 67.13958457373279
     - type: euclidean_f1
-      value: 59.14671467146715
+      value: 60.45118343195266
     - type: euclidean_precision
-      value: 55.54879285859201
+      value: 58.1625391403359
     - type: euclidean_recall
-      value: 63.24299353249153
+      value: 62.92731752386819
     - type: manhattan_accuracy
-      value: 81.56750882912253
+      value: 82.01769705437188
     - type: manhattan_ap
-      value: 66.07646774834106
+      value: 67.24709477497046
     - type: manhattan_f1
-      value: 59.161485036907756
+      value: 60.4103846436714
     - type: manhattan_precision
-      value: 56.05319368841728
+      value: 57.82063916654935
     - type: manhattan_recall
-      value: 62.634739759778256
+      value: 63.24299353249153
     - type: max_accuracy
-      value: 87.71684713005007
+      value: 87.99433383785463
     - type: max_ap
-      value: 82.85441942604702
+      value: 83.43513915159009
     - type: max_f1
-      value: 75.69942543843179
----
+      value: 76.3906784964842
 ---
 
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