Update README.md

README.md

@@ -117,53 +117,925 @@ model-index:
       value: 59.744
     - type: recall_at_5
       value: 70.626
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 46.91874634333147
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 39.1201020016146
   - task:
       type: Reranking
     dataset:
-      type: mteb/askubuntudupquestions-reranking
-      name: MTEB AskUbuntuDupQuestions
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 62.40334669601722
+    - type: mrr
+      value: 75.33175042870333
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.00433892980047
+    - type: cos_sim_spearman
+      value: 86.65558896421105
+    - type: euclidean_pearson
+      value: 85.98927300398377
+    - type: euclidean_spearman
+      value: 86.0905158476729
+    - type: manhattan_pearson
+      value: 86.0272425017433
+    - type: manhattan_spearman
+      value: 85.8929209838941
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 85.1038961038961
+    - type: f1
+      value: 85.06851570045757
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 37.42637694389153
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 33.89440321125906
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.111000000000004
+    - type: map_at_10
+      value: 39.067
+    - type: map_at_100
+      value: 40.519
+    - type: map_at_1000
+      value: 40.652
+    - type: map_at_3
+      value: 35.571999999999996
+    - type: map_at_5
+      value: 37.708999999999996
+    - type: mrr_at_1
+      value: 34.335
+    - type: mrr_at_10
+      value: 44.868
+    - type: mrr_at_100
+      value: 45.607
+    - type: mrr_at_1000
+      value: 45.655
+    - type: mrr_at_3
+      value: 41.798
+    - type: mrr_at_5
+      value: 43.786
+    - type: ndcg_at_1
+      value: 34.335
+    - type: ndcg_at_10
+      value: 45.513
+    - type: ndcg_at_100
+      value: 51.037
+    - type: ndcg_at_1000
+      value: 53.171
+    - type: ndcg_at_3
+      value: 40.131
+    - type: ndcg_at_5
+      value: 43.027
+    - type: precision_at_1
+      value: 34.335
+    - type: precision_at_10
+      value: 8.784
+    - type: precision_at_100
+      value: 1.4460000000000002
+    - type: precision_at_1000
+      value: 0.193
+    - type: precision_at_3
+      value: 19.361
+    - type: precision_at_5
+      value: 14.249
+    - type: recall_at_1
+      value: 28.111000000000004
+    - type: recall_at_10
+      value: 58.372
+    - type: recall_at_100
+      value: 81.631
+    - type: recall_at_1000
+      value: 95.192
+    - type: recall_at_3
+      value: 42.863
+    - type: recall_at_5
+      value: 50.924
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.437
+    - type: map_at_10
+      value: 37.942
+    - type: map_at_100
+      value: 39.108
+    - type: map_at_1000
+      value: 39.242
+    - type: map_at_3
+      value: 35.419
+    - type: map_at_5
+      value: 36.825
+    - type: mrr_at_1
+      value: 35.35
+    - type: mrr_at_10
+      value: 43.855
+    - type: mrr_at_100
+      value: 44.543
+    - type: mrr_at_1000
+      value: 44.588
+    - type: mrr_at_3
+      value: 41.826
+    - type: mrr_at_5
+      value: 42.937
+    - type: ndcg_at_1
+      value: 35.35
+    - type: ndcg_at_10
+      value: 43.32
+    - type: ndcg_at_100
+      value: 47.769
+    - type: ndcg_at_1000
+      value: 49.979
+    - type: ndcg_at_3
+      value: 39.709
+    - type: ndcg_at_5
+      value: 41.316
+    - type: precision_at_1
+      value: 35.35
+    - type: precision_at_10
+      value: 7.994
+    - type: precision_at_100
+      value: 1.323
+    - type: precision_at_1000
+      value: 0.182
+    - type: precision_at_3
+      value: 18.96
+    - type: precision_at_5
+      value: 13.236
+    - type: recall_at_1
+      value: 28.437
+    - type: recall_at_10
+      value: 52.531000000000006
+    - type: recall_at_100
+      value: 71.79299999999999
+    - type: recall_at_1000
+      value: 85.675
+    - type: recall_at_3
+      value: 41.605
+    - type: recall_at_5
+      value: 46.32
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 37.364999999999995
+    - type: map_at_10
+      value: 49.324
+    - type: map_at_100
+      value: 50.458999999999996
+    - type: map_at_1000
+      value: 50.512
+    - type: map_at_3
+      value: 45.96
+    - type: map_at_5
+      value: 47.934
+    - type: mrr_at_1
+      value: 43.009
+    - type: mrr_at_10
+      value: 52.946000000000005
+    - type: mrr_at_100
+      value: 53.74100000000001
+    - type: mrr_at_1000
+      value: 53.76800000000001
+    - type: mrr_at_3
+      value: 50.554
+    - type: mrr_at_5
+      value: 51.964
+    - type: ndcg_at_1
+      value: 43.009
+    - type: ndcg_at_10
+      value: 55.143
+    - type: ndcg_at_100
+      value: 59.653999999999996
+    - type: ndcg_at_1000
+      value: 60.805
+    - type: ndcg_at_3
+      value: 49.605
+    - type: ndcg_at_5
+      value: 52.437
+    - type: precision_at_1
+      value: 43.009
+    - type: precision_at_10
+      value: 8.984
+    - type: precision_at_100
+      value: 1.209
+    - type: precision_at_1000
+      value: 0.135
+    - type: precision_at_3
+      value: 22.09
+    - type: precision_at_5
+      value: 15.423
+    - type: recall_at_1
+      value: 37.364999999999995
+    - type: recall_at_10
+      value: 68.657
+    - type: recall_at_100
+      value: 88.155
+    - type: recall_at_1000
+      value: 96.48400000000001
+    - type: recall_at_3
+      value: 54.186
+    - type: recall_at_5
+      value: 60.848
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.827
+    - type: map_at_10
+      value: 31.721
+    - type: map_at_100
+      value: 32.812999999999995
+    - type: map_at_1000
+      value: 32.89
+    - type: map_at_3
+      value: 29.238999999999997
+    - type: map_at_5
+      value: 30.584
+    - type: mrr_at_1
+      value: 25.650000000000002
+    - type: mrr_at_10
+      value: 33.642
+    - type: mrr_at_100
+      value: 34.595
+    - type: mrr_at_1000
+      value: 34.650999999999996
+    - type: mrr_at_3
+      value: 31.205
+    - type: mrr_at_5
+      value: 32.499
+    - type: ndcg_at_1
+      value: 25.650000000000002
+    - type: ndcg_at_10
+      value: 36.366
+    - type: ndcg_at_100
+      value: 41.766
+    - type: ndcg_at_1000
+      value: 43.735
+    - type: ndcg_at_3
+      value: 31.447000000000003
+    - type: ndcg_at_5
+      value: 33.701
+    - type: precision_at_1
+      value: 25.650000000000002
+    - type: precision_at_10
+      value: 5.582
+    - type: precision_at_100
+      value: 0.872
+    - type: precision_at_1000
+      value: 0.108
+    - type: precision_at_3
+      value: 13.107
+    - type: precision_at_5
+      value: 9.198
+    - type: recall_at_1
+      value: 23.827
+    - type: recall_at_10
+      value: 48.9
+    - type: recall_at_100
+      value: 73.917
+    - type: recall_at_1000
+      value: 88.787
+    - type: recall_at_3
+      value: 35.498000000000005
+    - type: recall_at_5
+      value: 40.929
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.47
+    - type: map_at_10
+      value: 22.679
+    - type: map_at_100
+      value: 23.823
+    - type: map_at_1000
+      value: 23.94
+    - type: map_at_3
+      value: 20.535999999999998
+    - type: map_at_5
+      value: 21.61
+    - type: mrr_at_1
+      value: 18.781
+    - type: mrr_at_10
+      value: 26.979
+    - type: mrr_at_100
+      value: 27.945999999999998
+    - type: mrr_at_1000
+      value: 28.016000000000002
+    - type: mrr_at_3
+      value: 24.648
+    - type: mrr_at_5
+      value: 25.947
+    - type: ndcg_at_1
+      value: 18.781
+    - type: ndcg_at_10
+      value: 27.55
+    - type: ndcg_at_100
+      value: 33.176
+    - type: ndcg_at_1000
+      value: 36.150999999999996
+    - type: ndcg_at_3
+      value: 23.456
+    - type: ndcg_at_5
+      value: 25.16
+    - type: precision_at_1
+      value: 18.781
+    - type: precision_at_10
+      value: 5.050000000000001
+    - type: precision_at_100
+      value: 0.9039999999999999
+    - type: precision_at_1000
+      value: 0.129
+    - type: precision_at_3
+      value: 11.235000000000001
+    - type: precision_at_5
+      value: 8.01
+    - type: recall_at_1
+      value: 15.47
+    - type: recall_at_10
+      value: 38.446000000000005
+    - type: recall_at_100
+      value: 63.199000000000005
+    - type: recall_at_1000
+      value: 84.719
+    - type: recall_at_3
+      value: 26.687
+    - type: recall_at_5
+      value: 31.196
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.285999999999998
+    - type: map_at_10
+      value: 35.701
+    - type: map_at_100
+      value: 37.062
+    - type: map_at_1000
+      value: 37.175999999999995
+    - type: map_at_3
+      value: 32.65
+    - type: map_at_5
+      value: 34.129
+    - type: mrr_at_1
+      value: 32.05
+    - type: mrr_at_10
+      value: 41.105000000000004
+    - type: mrr_at_100
+      value: 41.996
+    - type: mrr_at_1000
+      value: 42.047000000000004
+    - type: mrr_at_3
+      value: 38.466
+    - type: mrr_at_5
+      value: 39.766
+    - type: ndcg_at_1
+      value: 32.05
+    - type: ndcg_at_10
+      value: 41.516999999999996
+    - type: ndcg_at_100
+      value: 47.083999999999996
+    - type: ndcg_at_1000
+      value: 49.309
+    - type: ndcg_at_3
+      value: 36.254999999999995
+    - type: ndcg_at_5
+      value: 38.346999999999994
+    - type: precision_at_1
+      value: 32.05
+    - type: precision_at_10
+      value: 7.536
+    - type: precision_at_100
+      value: 1.202
+    - type: precision_at_1000
+      value: 0.158
+    - type: precision_at_3
+      value: 17.004
+    - type: precision_at_5
+      value: 11.973
+    - type: recall_at_1
+      value: 26.285999999999998
+    - type: recall_at_10
+      value: 53.667
+    - type: recall_at_100
+      value: 76.97
+    - type: recall_at_1000
+      value: 91.691
+    - type: recall_at_3
+      value: 38.571
+    - type: recall_at_5
+      value: 44.131
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.595000000000002
+    - type: map_at_10
+      value: 31.352000000000004
+    - type: map_at_100
+      value: 32.652
+    - type: map_at_1000
+      value: 32.774
+    - type: map_at_3
+      value: 28.238000000000003
+    - type: map_at_5
+      value: 30.178
+    - type: mrr_at_1
+      value: 27.626
+    - type: mrr_at_10
+      value: 36.351
+    - type: mrr_at_100
+      value: 37.297000000000004
+    - type: mrr_at_1000
+      value: 37.362
+    - type: mrr_at_3
+      value: 33.885
+    - type: mrr_at_5
+      value: 35.358000000000004
+    - type: ndcg_at_1
+      value: 27.626
+    - type: ndcg_at_10
+      value: 36.795
+    - type: ndcg_at_100
+      value: 42.808
+    - type: ndcg_at_1000
+      value: 45.417
+    - type: ndcg_at_3
+      value: 31.744
+    - type: ndcg_at_5
+      value: 34.407
+    - type: precision_at_1
+      value: 27.626
+    - type: precision_at_10
+      value: 6.781
+    - type: precision_at_100
+      value: 1.159
+    - type: precision_at_1000
+      value: 0.155
+    - type: precision_at_3
+      value: 15.221000000000002
+    - type: precision_at_5
+      value: 11.279
+    - type: recall_at_1
+      value: 22.595000000000002
+    - type: recall_at_10
+      value: 48.126000000000005
+    - type: recall_at_100
+      value: 74.24300000000001
+    - type: recall_at_1000
+      value: 92.276
+    - type: recall_at_3
+      value: 34.346
+    - type: recall_at_5
+      value: 41.065000000000005
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.237000000000002
+    - type: map_at_10
+      value: 28.626
+    - type: map_at_100
+      value: 29.494999999999997
+    - type: map_at_1000
+      value: 29.587999999999997
+    - type: map_at_3
+      value: 26.747
+    - type: map_at_5
+      value: 27.903
+    - type: mrr_at_1
+      value: 24.847
+    - type: mrr_at_10
+      value: 31.091
+    - type: mrr_at_100
+      value: 31.91
+    - type: mrr_at_1000
+      value: 31.977
+    - type: mrr_at_3
+      value: 29.218
+    - type: mrr_at_5
+      value: 30.391000000000002
+    - type: ndcg_at_1
+      value: 24.847
+    - type: ndcg_at_10
+      value: 32.452999999999996
+    - type: ndcg_at_100
+      value: 37.009
+    - type: ndcg_at_1000
+      value: 39.425
+    - type: ndcg_at_3
+      value: 28.848000000000003
+    - type: ndcg_at_5
+      value: 30.752000000000002
+    - type: precision_at_1
+      value: 24.847
+    - type: precision_at_10
+      value: 4.968999999999999
+    - type: precision_at_100
+      value: 0.8009999999999999
+    - type: precision_at_1000
+      value: 0.107
+    - type: precision_at_3
+      value: 12.321
+    - type: precision_at_5
+      value: 8.62
+    - type: recall_at_1
+      value: 22.237000000000002
+    - type: recall_at_10
+      value: 41.942
+    - type: recall_at_100
+      value: 62.907000000000004
+    - type: recall_at_1000
+      value: 81.035
+    - type: recall_at_3
+      value: 32.05
+    - type: recall_at_5
+      value: 36.695
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
       config: default
       split: test
-      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+      revision: None
     metrics:
-    - type: map
-      value: 62.40334669601722
-    - type: mrr
-      value: 75.33175042870333
+    - type: map_at_1
+      value: 14.835
+    - type: map_at_10
+      value: 21.124000000000002
+    - type: map_at_100
+      value: 22.133
+    - type: map_at_1000
+      value: 22.258
+    - type: map_at_3
+      value: 19.076999999999998
+    - type: map_at_5
+      value: 20.18
+    - type: mrr_at_1
+      value: 17.791
+    - type: mrr_at_10
+      value: 24.438
+    - type: mrr_at_100
+      value: 25.332
+    - type: mrr_at_1000
+      value: 25.417
+    - type: mrr_at_3
+      value: 22.425
+    - type: mrr_at_5
+      value: 23.524
+    - type: ndcg_at_1
+      value: 17.791
+    - type: ndcg_at_10
+      value: 25.27
+    - type: ndcg_at_100
+      value: 30.362000000000002
+    - type: ndcg_at_1000
+      value: 33.494
+    - type: ndcg_at_3
+      value: 21.474
+    - type: ndcg_at_5
+      value: 23.189999999999998
+    - type: precision_at_1
+      value: 17.791
+    - type: precision_at_10
+      value: 4.58
+    - type: precision_at_100
+      value: 0.839
+    - type: precision_at_1000
+      value: 0.128
+    - type: precision_at_3
+      value: 10.071
+    - type: precision_at_5
+      value: 7.337000000000001
+    - type: recall_at_1
+      value: 14.835
+    - type: recall_at_10
+      value: 34.534
+    - type: recall_at_100
+      value: 57.812
+    - type: recall_at_1000
+      value: 80.467
+    - type: recall_at_3
+      value: 23.938000000000002
+    - type: recall_at_5
+      value: 28.269
   - task:
-      type: STS
+      type: Retrieval
     dataset:
-      type: mteb/biosses-sts
-      name: MTEB BIOSSES
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
       config: default
       split: test
-      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+      revision: None
     metrics:
-    - type: cos_sim_pearson
-      value: 88.00433892980047
-    - type: cos_sim_spearman
-      value: 86.65558896421105
-    - type: euclidean_pearson
-      value: 85.98927300398377
-    - type: euclidean_spearman
-      value: 86.0905158476729
-    - type: manhattan_pearson
-      value: 86.0272425017433
-    - type: manhattan_spearman
-      value: 85.8929209838941
+    - type: map_at_1
+      value: 23.400000000000002
+    - type: map_at_10
+      value: 31.55
+    - type: map_at_100
+      value: 32.72
+    - type: map_at_1000
+      value: 32.830999999999996
+    - type: map_at_3
+      value: 28.942
+    - type: map_at_5
+      value: 30.403000000000002
+    - type: mrr_at_1
+      value: 27.705000000000002
+    - type: mrr_at_10
+      value: 35.778
+    - type: mrr_at_100
+      value: 36.705
+    - type: mrr_at_1000
+      value: 36.773
+    - type: mrr_at_3
+      value: 33.458
+    - type: mrr_at_5
+      value: 34.778
+    - type: ndcg_at_1
+      value: 27.705000000000002
+    - type: ndcg_at_10
+      value: 36.541000000000004
+    - type: ndcg_at_100
+      value: 42.016999999999996
+    - type: ndcg_at_1000
+      value: 44.571
+    - type: ndcg_at_3
+      value: 31.845000000000002
+    - type: ndcg_at_5
+      value: 34.056
+    - type: precision_at_1
+      value: 27.705000000000002
+    - type: precision_at_10
+      value: 6.166
+    - type: precision_at_100
+      value: 0.993
+    - type: precision_at_1000
+      value: 0.132
+    - type: precision_at_3
+      value: 14.302999999999999
+    - type: precision_at_5
+      value: 10.187
+    - type: recall_at_1
+      value: 23.400000000000002
+    - type: recall_at_10
+      value: 47.61
+    - type: recall_at_100
+      value: 71.69200000000001
+    - type: recall_at_1000
+      value: 89.652
+    - type: recall_at_3
+      value: 35.026
+    - type: recall_at_5
+      value: 40.48
   - task:
-      type: Classification
+      type: Retrieval
     dataset:
-      type: mteb/banking77
-      name: MTEB Banking77Classification
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
       config: default
       split: test
-      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+      revision: None
     metrics:
-    - type: accuracy
-      value: 85.1038961038961
-    - type: f1
-      value: 85.06851570045757
+    - type: map_at_1
+      value: 21.409
+    - type: map_at_10
+      value: 29.642000000000003
+    - type: map_at_100
+      value: 31.213
+    - type: map_at_1000
+      value: 31.418000000000003
+    - type: map_at_3
+      value: 26.811
+    - type: map_at_5
+      value: 28.433999999999997
+    - type: mrr_at_1
+      value: 25.494
+    - type: mrr_at_10
+      value: 33.735
+    - type: mrr_at_100
+      value: 34.791
+    - type: mrr_at_1000
+      value: 34.848
+    - type: mrr_at_3
+      value: 31.225
+    - type: mrr_at_5
+      value: 32.688
+    - type: ndcg_at_1
+      value: 25.494
+    - type: ndcg_at_10
+      value: 35.038000000000004
+    - type: ndcg_at_100
+      value: 41.499
+    - type: ndcg_at_1000
+      value: 44.183
+    - type: ndcg_at_3
+      value: 30.305
+    - type: ndcg_at_5
+      value: 32.607
+    - type: precision_at_1
+      value: 25.494
+    - type: precision_at_10
+      value: 6.739000000000001
+    - type: precision_at_100
+      value: 1.439
+    - type: precision_at_1000
+      value: 0.233
+    - type: precision_at_3
+      value: 14.163
+    - type: precision_at_5
+      value: 10.474
+    - type: recall_at_1
+      value: 21.409
+    - type: recall_at_10
+      value: 46.033
+    - type: recall_at_100
+      value: 74.932
+    - type: recall_at_1000
+      value: 92.35600000000001
+    - type: recall_at_3
+      value: 32.858
+    - type: recall_at_5
+      value: 38.675
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.145
+    - type: map_at_10
+      value: 24.712
+    - type: map_at_100
+      value: 25.813000000000002
+    - type: map_at_1000
+      value: 25.935000000000002
+    - type: map_at_3
+      value: 22.33
+    - type: map_at_5
+      value: 23.524
+    - type: mrr_at_1
+      value: 19.224
+    - type: mrr_at_10
+      value: 26.194
+    - type: mrr_at_100
+      value: 27.208
+    - type: mrr_at_1000
+      value: 27.3
+    - type: mrr_at_3
+      value: 23.906
+    - type: mrr_at_5
+      value: 24.988
+    - type: ndcg_at_1
+      value: 19.224
+    - type: ndcg_at_10
+      value: 29.015
+    - type: ndcg_at_100
+      value: 34.224
+    - type: ndcg_at_1000
+      value: 37.235
+    - type: ndcg_at_3
+      value: 24.22
+    - type: ndcg_at_5
+      value: 26.176
+    - type: precision_at_1
+      value: 19.224
+    - type: precision_at_10
+      value: 4.713
+    - type: precision_at_100
+      value: 0.787
+    - type: precision_at_1000
+      value: 0.11499999999999999
+    - type: precision_at_3
+      value: 10.290000000000001
+    - type: precision_at_5
+      value: 7.32
+    - type: recall_at_1
+      value: 18.145
+    - type: recall_at_10
+      value: 40.875
+    - type: recall_at_100
+      value: 64.371
+    - type: recall_at_1000
+      value: 86.67399999999999
+    - type: recall_at_3
+      value: 27.717000000000002
+    - type: recall_at_5
+      value: 32.381
   - task:
       type: Classification
     dataset:
@@ -244,6 +1116,63 @@ model-index:
       value: 77.95897780766644
     - type: f1
       value: 77.80380046125542
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 31.897956840478948
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 30.71493744677591
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 31.279419910393734
+    - type: mrr
+      value: 32.41989483774563
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 50.49612915002382
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 60.29912718965653
   - task:
       type: STS
     dataset:
@@ -433,6 +1362,19 @@ model-index:
       value: 86.2546330637872
     - type: manhattan_spearman
       value: 86.46309860938591
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 85.009977767778
+    - type: mrr
+      value: 95.59795143128476
   - task:
       type: PairClassification
     dataset:
@@ -471,7 +1413,7 @@ model-index:
     - type: euclidean_precision
       value: 94.04388714733543
     - type: euclidean_recall
-      value: 90
+      value: 90.0
     - type: manhattan_accuracy
       value: 99.84158415841584
     - type: manhattan_ap
@@ -488,6 +1430,41 @@ model-index:
       value: 96.25445889914926
     - type: max_f1
       value: 92.03805708562844
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 59.26454683321409
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 33.75520575713765
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 52.74607778008495
+    - type: mrr
+      value: 53.55101699770818
   - task:
       type: Classification
     dataset:
@@ -516,6 +1493,17 @@ model-index:
       value: 60.01980758347483
     - type: f1
       value: 60.35679678249753
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 45.09419243325077
   - task:
       type: PairClassification
     dataset: