diff --git "a/README.md" "b/README.md"
--- "a/README.md"
+++ "b/README.md"
@@ -10,6 +10,1547 @@ tags:
 - mteb
 datasets:
 - Mihaiii/qa-assistant
+model-index:
+- name: Bulbasaur
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 71.86567164179104
+    - type: ap
+      value: 34.08685244750869
+    - type: f1
+      value: 65.66014356237362
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 78.78927499999999
+    - type: ap
+      value: 73.46960735629719
+    - type: f1
+      value: 78.6951990840684
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 39.312
+    - type: f1
+      value: 38.94567141563064
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 22.191
+    - type: map_at_10
+      value: 36.504
+    - type: map_at_100
+      value: 37.676
+    - type: map_at_1000
+      value: 37.693
+    - type: map_at_20
+      value: 37.329
+    - type: map_at_3
+      value: 31.840000000000003
+    - type: map_at_5
+      value: 34.333000000000006
+    - type: mrr_at_1
+      value: 23.186
+    - type: mrr_at_10
+      value: 36.856
+    - type: mrr_at_100
+      value: 38.048
+    - type: mrr_at_1000
+      value: 38.065
+    - type: mrr_at_20
+      value: 37.701
+    - type: mrr_at_3
+      value: 32.16
+    - type: mrr_at_5
+      value: 34.756
+    - type: ndcg_at_1
+      value: 22.191
+    - type: ndcg_at_10
+      value: 44.798
+    - type: ndcg_at_100
+      value: 50.141999999999996
+    - type: ndcg_at_1000
+      value: 50.599000000000004
+    - type: ndcg_at_20
+      value: 47.778999999999996
+    - type: ndcg_at_3
+      value: 35.071999999999996
+    - type: ndcg_at_5
+      value: 39.574
+    - type: precision_at_1
+      value: 22.191
+    - type: precision_at_10
+      value: 7.148000000000001
+    - type: precision_at_100
+      value: 0.9570000000000001
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_20
+      value: 4.1610000000000005
+    - type: precision_at_3
+      value: 14.817
+    - type: precision_at_5
+      value: 11.081000000000001
+    - type: recall_at_1
+      value: 22.191
+    - type: recall_at_10
+      value: 71.479
+    - type: recall_at_100
+      value: 95.661
+    - type: recall_at_1000
+      value: 99.289
+    - type: recall_at_20
+      value: 83.21499999999999
+    - type: recall_at_3
+      value: 44.452000000000005
+    - type: recall_at_5
+      value: 55.405
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 40.283298409035076
+    - type: v_measures
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+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 31.058723747886102
+    - type: v_measures
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+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 57.489775602270086
+    - type: mrr
+      value: 71.4973838104032
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 80.57792207792207
+    - type: f1
+      value: 80.510338047888
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 35.17908628951979
+    - type: v_measures
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+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 28.18471478622865
+    - type: v_measures
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+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-android
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 24.271
+    - type: map_at_10
+      value: 33.5
+    - type: map_at_100
+      value: 34.818
+    - type: map_at_1000
+      value: 34.967
+    - type: map_at_20
+      value: 34.238
+    - type: map_at_3
+      value: 30.488
+    - type: map_at_5
+      value: 32.303
+    - type: mrr_at_1
+      value: 30.615
+    - type: mrr_at_10
+      value: 39.076
+    - type: mrr_at_100
+      value: 40.022000000000006
+    - type: mrr_at_1000
+      value: 40.082
+    - type: mrr_at_20
+      value: 39.669
+    - type: mrr_at_3
+      value: 36.552
+    - type: mrr_at_5
+      value: 38.096999999999994
+    - type: ndcg_at_1
+      value: 30.615
+    - type: ndcg_at_10
+      value: 39.106
+    - type: ndcg_at_100
+      value: 44.519
+    - type: ndcg_at_1000
+      value: 47.274
+    - type: ndcg_at_20
+      value: 41.289
+    - type: ndcg_at_3
+      value: 34.55
+    - type: ndcg_at_5
+      value: 36.815999999999995
+    - type: precision_at_1
+      value: 30.615
+    - type: precision_at_10
+      value: 7.5249999999999995
+    - type: precision_at_100
+      value: 1.282
+    - type: precision_at_1000
+      value: 0.181
+    - type: precision_at_20
+      value: 4.549
+    - type: precision_at_3
+      value: 16.643
+    - type: precision_at_5
+      value: 12.275
+    - type: recall_at_1
+      value: 24.271
+    - type: recall_at_10
+      value: 49.714000000000006
+    - type: recall_at_100
+      value: 72.792
+    - type: recall_at_1000
+      value: 91.21000000000001
+    - type: recall_at_20
+      value: 57.799
+    - type: recall_at_3
+      value: 36.494
+    - type: recall_at_5
+      value: 42.764
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 19.414
+    - type: map_at_10
+      value: 25.766
+    - type: map_at_100
+      value: 26.627000000000002
+    - type: map_at_1000
+      value: 26.749000000000002
+    - type: map_at_20
+      value: 26.201999999999998
+    - type: map_at_3
+      value: 23.738
+    - type: map_at_5
+      value: 24.829
+    - type: mrr_at_1
+      value: 24.013
+    - type: mrr_at_10
+      value: 30.208000000000002
+    - type: mrr_at_100
+      value: 30.903000000000002
+    - type: mrr_at_1000
+      value: 30.976
+    - type: mrr_at_20
+      value: 30.585
+    - type: mrr_at_3
+      value: 28.376
+    - type: mrr_at_5
+      value: 29.462
+    - type: ndcg_at_1
+      value: 24.013
+    - type: ndcg_at_10
+      value: 29.871
+    - type: ndcg_at_100
+      value: 33.867999999999995
+    - type: ndcg_at_1000
+      value: 36.565
+    - type: ndcg_at_20
+      value: 31.251
+    - type: ndcg_at_3
+      value: 26.579000000000004
+    - type: ndcg_at_5
+      value: 28.094
+    - type: precision_at_1
+      value: 24.013
+    - type: precision_at_10
+      value: 5.503
+    - type: precision_at_100
+      value: 0.936
+    - type: precision_at_1000
+      value: 0.14100000000000001
+    - type: precision_at_20
+      value: 3.2800000000000002
+    - type: precision_at_3
+      value: 12.590000000000002
+    - type: precision_at_5
+      value: 8.994
+    - type: recall_at_1
+      value: 19.414
+    - type: recall_at_10
+      value: 37.582
+    - type: recall_at_100
+      value: 55.181000000000004
+    - type: recall_at_1000
+      value: 73.342
+    - type: recall_at_20
+      value: 42.596000000000004
+    - type: recall_at_3
+      value: 28.102
+    - type: recall_at_5
+      value: 32.267
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 31.5
+    - type: map_at_10
+      value: 42.179
+    - type: map_at_100
+      value: 43.231
+    - type: map_at_1000
+      value: 43.302
+    - type: map_at_20
+      value: 42.786
+    - type: map_at_3
+      value: 39.17
+    - type: map_at_5
+      value: 40.854
+    - type: mrr_at_1
+      value: 36.113
+    - type: mrr_at_10
+      value: 45.378
+    - type: mrr_at_100
+      value: 46.153
+    - type: mrr_at_1000
+      value: 46.194
+    - type: mrr_at_20
+      value: 45.831
+    - type: mrr_at_3
+      value: 42.947
+    - type: mrr_at_5
+      value: 44.339
+    - type: ndcg_at_1
+      value: 36.113
+    - type: ndcg_at_10
+      value: 47.616
+    - type: ndcg_at_100
+      value: 52.125
+    - type: ndcg_at_1000
+      value: 53.717999999999996
+    - type: ndcg_at_20
+      value: 49.495
+    - type: ndcg_at_3
+      value: 42.354
+    - type: ndcg_at_5
+      value: 44.885999999999996
+    - type: precision_at_1
+      value: 36.113
+    - type: precision_at_10
+      value: 7.799
+    - type: precision_at_100
+      value: 1.093
+    - type: precision_at_1000
+      value: 0.129
+    - type: precision_at_20
+      value: 4.4670000000000005
+    - type: precision_at_3
+      value: 19.017999999999997
+    - type: precision_at_5
+      value: 13.254
+    - type: recall_at_1
+      value: 31.5
+    - type: recall_at_10
+      value: 60.67
+    - type: recall_at_100
+      value: 80.484
+    - type: recall_at_1000
+      value: 92.04599999999999
+    - type: recall_at_20
+      value: 67.644
+    - type: recall_at_3
+      value: 46.671
+    - type: recall_at_5
+      value: 52.723
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 17.339
+    - type: map_at_10
+      value: 23.014000000000003
+    - type: map_at_100
+      value: 23.918
+    - type: map_at_1000
+      value: 24.027
+    - type: map_at_20
+      value: 23.507
+    - type: map_at_3
+      value: 21.176000000000002
+    - type: map_at_5
+      value: 22.126
+    - type: mrr_at_1
+      value: 18.531
+    - type: mrr_at_10
+      value: 24.356
+    - type: mrr_at_100
+      value: 25.247000000000003
+    - type: mrr_at_1000
+      value: 25.338
+    - type: mrr_at_20
+      value: 24.858
+    - type: mrr_at_3
+      value: 22.542
+    - type: mrr_at_5
+      value: 23.508000000000003
+    - type: ndcg_at_1
+      value: 18.531
+    - type: ndcg_at_10
+      value: 26.51
+    - type: ndcg_at_100
+      value: 31.367
+    - type: ndcg_at_1000
+      value: 34.38
+    - type: ndcg_at_20
+      value: 28.328999999999997
+    - type: ndcg_at_3
+      value: 22.861
+    - type: ndcg_at_5
+      value: 24.456
+    - type: precision_at_1
+      value: 18.531
+    - type: precision_at_10
+      value: 4.147
+    - type: precision_at_100
+      value: 0.695
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_20
+      value: 2.492
+    - type: precision_at_3
+      value: 9.793000000000001
+    - type: precision_at_5
+      value: 6.825
+    - type: recall_at_1
+      value: 17.339
+    - type: recall_at_10
+      value: 36.010999999999996
+    - type: recall_at_100
+      value: 59.040000000000006
+    - type: recall_at_1000
+      value: 82.282
+    - type: recall_at_20
+      value: 43.04
+    - type: recall_at_3
+      value: 25.904
+    - type: recall_at_5
+      value: 29.837000000000003
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 9.251
+    - type: map_at_10
+      value: 14.848
+    - type: map_at_100
+      value: 15.940999999999999
+    - type: map_at_1000
+      value: 16.055
+    - type: map_at_20
+      value: 15.423
+    - type: map_at_3
+      value: 12.556999999999999
+    - type: map_at_5
+      value: 13.649000000000001
+    - type: mrr_at_1
+      value: 12.313
+    - type: mrr_at_10
+      value: 18.528
+    - type: mrr_at_100
+      value: 19.522000000000002
+    - type: mrr_at_1000
+      value: 19.601
+    - type: mrr_at_20
+      value: 19.107
+    - type: mrr_at_3
+      value: 16.231
+    - type: mrr_at_5
+      value: 17.294999999999998
+    - type: ndcg_at_1
+      value: 12.313
+    - type: ndcg_at_10
+      value: 19.303
+    - type: ndcg_at_100
+      value: 24.728
+    - type: ndcg_at_1000
+      value: 27.823999999999998
+    - type: ndcg_at_20
+      value: 21.318
+    - type: ndcg_at_3
+      value: 14.848
+    - type: ndcg_at_5
+      value: 16.509
+    - type: precision_at_1
+      value: 12.313
+    - type: precision_at_10
+      value: 4.03
+    - type: precision_at_100
+      value: 0.777
+    - type: precision_at_1000
+      value: 0.11800000000000001
+    - type: precision_at_20
+      value: 2.562
+    - type: precision_at_3
+      value: 7.546
+    - type: precision_at_5
+      value: 5.672
+    - type: recall_at_1
+      value: 9.251
+    - type: recall_at_10
+      value: 29.677999999999997
+    - type: recall_at_100
+      value: 53.586
+    - type: recall_at_1000
+      value: 76.181
+    - type: recall_at_20
+      value: 36.963
+    - type: recall_at_3
+      value: 17.072000000000003
+    - type: recall_at_5
+      value: 21.481
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 21.135
+    - type: map_at_10
+      value: 29.431
+    - type: map_at_100
+      value: 30.662
+    - type: map_at_1000
+      value: 30.792
+    - type: map_at_20
+      value: 30.086000000000002
+    - type: map_at_3
+      value: 26.593
+    - type: map_at_5
+      value: 28.011999999999997
+    - type: mrr_at_1
+      value: 26.564
+    - type: mrr_at_10
+      value: 34.735
+    - type: mrr_at_100
+      value: 35.65
+    - type: mrr_at_1000
+      value: 35.711999999999996
+    - type: mrr_at_20
+      value: 35.286
+    - type: mrr_at_3
+      value: 32.002
+    - type: mrr_at_5
+      value: 33.527
+    - type: ndcg_at_1
+      value: 26.564
+    - type: ndcg_at_10
+      value: 35.108
+    - type: ndcg_at_100
+      value: 40.601
+    - type: ndcg_at_1000
+      value: 43.329
+    - type: ndcg_at_20
+      value: 37.192
+    - type: ndcg_at_3
+      value: 29.961
+    - type: ndcg_at_5
+      value: 32.131
+    - type: precision_at_1
+      value: 26.564
+    - type: precision_at_10
+      value: 6.564
+    - type: precision_at_100
+      value: 1.105
+    - type: precision_at_1000
+      value: 0.154
+    - type: precision_at_20
+      value: 3.941
+    - type: precision_at_3
+      value: 14.212
+    - type: precision_at_5
+      value: 10.337
+    - type: recall_at_1
+      value: 21.135
+    - type: recall_at_10
+      value: 47.242
+    - type: recall_at_100
+      value: 70.645
+    - type: recall_at_1000
+      value: 89.403
+    - type: recall_at_20
+      value: 54.663
+    - type: recall_at_3
+      value: 32.647
+    - type: recall_at_5
+      value: 38.122
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 16.86
+    - type: map_at_10
+      value: 23.477999999999998
+    - type: map_at_100
+      value: 24.68
+    - type: map_at_1000
+      value: 24.826999999999998
+    - type: map_at_20
+      value: 24.122
+    - type: map_at_3
+      value: 21.288999999999998
+    - type: map_at_5
+      value: 22.453
+    - type: mrr_at_1
+      value: 20.776
+    - type: mrr_at_10
+      value: 28.029
+    - type: mrr_at_100
+      value: 28.951
+    - type: mrr_at_1000
+      value: 29.038000000000004
+    - type: mrr_at_20
+      value: 28.546
+    - type: mrr_at_3
+      value: 25.818
+    - type: mrr_at_5
+      value: 26.994
+    - type: ndcg_at_1
+      value: 20.776
+    - type: ndcg_at_10
+      value: 28.152
+    - type: ndcg_at_100
+      value: 33.82
+    - type: ndcg_at_1000
+      value: 37.039
+    - type: ndcg_at_20
+      value: 30.238
+    - type: ndcg_at_3
+      value: 24.197
+    - type: ndcg_at_5
+      value: 25.861
+    - type: precision_at_1
+      value: 20.776
+    - type: precision_at_10
+      value: 5.297000000000001
+    - type: precision_at_100
+      value: 0.96
+    - type: precision_at_1000
+      value: 0.14200000000000002
+    - type: precision_at_20
+      value: 3.276
+    - type: precision_at_3
+      value: 11.606
+    - type: precision_at_5
+      value: 8.356
+    - type: recall_at_1
+      value: 16.86
+    - type: recall_at_10
+      value: 37.782
+    - type: recall_at_100
+      value: 62.67
+    - type: recall_at_1000
+      value: 85.03
+    - type: recall_at_20
+      value: 45.2
+    - type: recall_at_3
+      value: 26.506999999999998
+    - type: recall_at_5
+      value: 31.113000000000003
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 15.234
+    - type: map_at_10
+      value: 20.939
+    - type: map_at_100
+      value: 21.704
+    - type: map_at_1000
+      value: 21.804000000000002
+    - type: map_at_20
+      value: 21.311
+    - type: map_at_3
+      value: 18.972
+    - type: map_at_5
+      value: 19.929
+    - type: mrr_at_1
+      value: 17.485
+    - type: mrr_at_10
+      value: 23.267
+    - type: mrr_at_100
+      value: 23.967
+    - type: mrr_at_1000
+      value: 24.054000000000002
+    - type: mrr_at_20
+      value: 23.604
+    - type: mrr_at_3
+      value: 21.345
+    - type: mrr_at_5
+      value: 22.303
+    - type: ndcg_at_1
+      value: 17.485
+    - type: ndcg_at_10
+      value: 24.744
+    - type: ndcg_at_100
+      value: 28.801
+    - type: ndcg_at_1000
+      value: 31.619999999999997
+    - type: ndcg_at_20
+      value: 26.046000000000003
+    - type: ndcg_at_3
+      value: 20.862
+    - type: ndcg_at_5
+      value: 22.459
+    - type: precision_at_1
+      value: 17.485
+    - type: precision_at_10
+      value: 4.109999999999999
+    - type: precision_at_100
+      value: 0.676
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_20
+      value: 2.3619999999999997
+    - type: precision_at_3
+      value: 9.254
+    - type: precision_at_5
+      value: 6.503
+    - type: recall_at_1
+      value: 15.234
+    - type: recall_at_10
+      value: 34.48
+    - type: recall_at_100
+      value: 53.225
+    - type: recall_at_1000
+      value: 74.64699999999999
+    - type: recall_at_20
+      value: 39.421
+    - type: recall_at_3
+      value: 23.554
+    - type: recall_at_5
+      value: 27.662
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 9.564
+    - type: map_at_10
+      value: 13.869000000000002
+    - type: map_at_100
+      value: 14.728
+    - type: map_at_1000
+      value: 14.853
+    - type: map_at_20
+      value: 14.32
+    - type: map_at_3
+      value: 12.307
+    - type: map_at_5
+      value: 13.177
+    - type: mrr_at_1
+      value: 11.941
+    - type: mrr_at_10
+      value: 16.777
+    - type: mrr_at_100
+      value: 17.571
+    - type: mrr_at_1000
+      value: 17.663999999999998
+    - type: mrr_at_20
+      value: 17.203
+    - type: mrr_at_3
+      value: 15.067
+    - type: mrr_at_5
+      value: 16.003999999999998
+    - type: ndcg_at_1
+      value: 11.941
+    - type: ndcg_at_10
+      value: 17.111
+    - type: ndcg_at_100
+      value: 21.438
+    - type: ndcg_at_1000
+      value: 24.756
+    - type: ndcg_at_20
+      value: 18.616
+    - type: ndcg_at_3
+      value: 14.143
+    - type: ndcg_at_5
+      value: 15.501000000000001
+    - type: precision_at_1
+      value: 11.941
+    - type: precision_at_10
+      value: 3.304
+    - type: precision_at_100
+      value: 0.658
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_20
+      value: 2.077
+    - type: precision_at_3
+      value: 6.882000000000001
+    - type: precision_at_5
+      value: 5.12
+    - type: recall_at_1
+      value: 9.564
+    - type: recall_at_10
+      value: 24.068
+    - type: recall_at_100
+      value: 43.759
+    - type: recall_at_1000
+      value: 68.101
+    - type: recall_at_20
+      value: 29.657
+    - type: recall_at_3
+      value: 15.68
+    - type: recall_at_5
+      value: 19.238
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 16.171
+    - type: map_at_10
+      value: 22.142
+    - type: map_at_100
+      value: 23.261000000000003
+    - type: map_at_1000
+      value: 23.371
+    - type: map_at_20
+      value: 22.766000000000002
+    - type: map_at_3
+      value: 20.251
+    - type: map_at_5
+      value: 21.349
+    - type: mrr_at_1
+      value: 19.403000000000002
+    - type: mrr_at_10
+      value: 25.619999999999997
+    - type: mrr_at_100
+      value: 26.659
+    - type: mrr_at_1000
+      value: 26.735
+    - type: mrr_at_20
+      value: 26.212000000000003
+    - type: mrr_at_3
+      value: 23.694000000000003
+    - type: mrr_at_5
+      value: 24.781
+    - type: ndcg_at_1
+      value: 19.403000000000002
+    - type: ndcg_at_10
+      value: 26.104
+    - type: ndcg_at_100
+      value: 31.724000000000004
+    - type: ndcg_at_1000
+      value: 34.581
+    - type: ndcg_at_20
+      value: 28.231
+    - type: ndcg_at_3
+      value: 22.464000000000002
+    - type: ndcg_at_5
+      value: 24.233
+    - type: precision_at_1
+      value: 19.403000000000002
+    - type: precision_at_10
+      value: 4.422000000000001
+    - type: precision_at_100
+      value: 0.8170000000000001
+    - type: precision_at_1000
+      value: 0.11800000000000001
+    - type: precision_at_20
+      value: 2.78
+    - type: precision_at_3
+      value: 10.168000000000001
+    - type: precision_at_5
+      value: 7.295
+    - type: recall_at_1
+      value: 16.171
+    - type: recall_at_10
+      value: 34.899
+    - type: recall_at_100
+      value: 60.197
+    - type: recall_at_1000
+      value: 80.798
+    - type: recall_at_20
+      value: 42.591
+    - type: recall_at_3
+      value: 25.024
+    - type: recall_at_5
+      value: 29.42
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 16.412
+    - type: map_at_10
+      value: 23.138
+    - type: map_at_100
+      value: 24.46
+    - type: map_at_1000
+      value: 24.668
+    - type: map_at_20
+      value: 23.791
+    - type: map_at_3
+      value: 20.965
+    - type: map_at_5
+      value: 22.005
+    - type: mrr_at_1
+      value: 20.949
+    - type: mrr_at_10
+      value: 27.46
+    - type: mrr_at_100
+      value: 28.546
+    - type: mrr_at_1000
+      value: 28.619
+    - type: mrr_at_20
+      value: 28.038999999999998
+    - type: mrr_at_3
+      value: 25.461
+    - type: mrr_at_5
+      value: 26.528000000000002
+    - type: ndcg_at_1
+      value: 20.949
+    - type: ndcg_at_10
+      value: 27.919
+    - type: ndcg_at_100
+      value: 33.886
+    - type: ndcg_at_1000
+      value: 37.284
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+      value: 29.876
+    - type: ndcg_at_3
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+    - type: ndcg_at_5
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+    - type: precision_at_1000
+      value: 0.22
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+      value: 3.5180000000000002
+    - type: precision_at_3
+      value: 11.726
+    - type: precision_at_5
+      value: 8.498
+    - type: recall_at_1
+      value: 16.412
+    - type: recall_at_10
+      value: 37.012
+    - type: recall_at_100
+      value: 64.702
+    - type: recall_at_1000
+      value: 87.442
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+      value: 44.797
+    - type: recall_at_3
+      value: 25.872
+    - type: recall_at_5
+      value: 29.732999999999997
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
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+      value: 11.158
+    - type: map_at_10
+      value: 15.809999999999999
+    - type: map_at_100
+      value: 16.821
+    - type: map_at_1000
+      value: 16.925
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+      value: 16.403000000000002
+    - type: map_at_3
+      value: 13.791999999999998
+    - type: map_at_5
+      value: 14.817
+    - type: mrr_at_1
+      value: 12.384
+    - type: mrr_at_10
+      value: 17.291999999999998
+    - type: mrr_at_100
+      value: 18.271
+    - type: mrr_at_1000
+      value: 18.360000000000003
+    - type: mrr_at_20
+      value: 17.854999999999997
+    - type: mrr_at_3
+      value: 15.096000000000002
+    - type: mrr_at_5
+      value: 16.214000000000002
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+      value: 24.524
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+    - type: ndcg_at_3
+      value: 14.995
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+      value: 16.861
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+      value: 3.29
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+      value: 0.632
+    - type: precision_at_1000
+      value: 0.095
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+      value: 2.1260000000000003
+    - type: precision_at_3
+      value: 6.47
+    - type: precision_at_5
+      value: 4.917
+    - type: recall_at_1
+      value: 11.158
+    - type: recall_at_10
+      value: 28.737000000000002
+    - type: recall_at_100
+      value: 53.400000000000006
+    - type: recall_at_1000
+      value: 77.509
+    - type: recall_at_20
+      value: 36.969
+    - type: recall_at_3
+      value: 17.197000000000003
+    - type: recall_at_5
+      value: 21.701
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 44.79
+    - type: f1
+      value: 39.606429663804356
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 71.5272
+    - type: ap
+      value: 65.49215755861609
+    - type: f1
+      value: 71.4156268611186
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 90.78887368901049
+    - type: f1
+      value: 90.30465646125157
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 68.71865025079799
+    - type: f1
+      value: 50.7484789245504
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 68.8399462004035
+    - type: f1
+      value: 66.66574227334513
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 73.74915938130464
+    - type: f1
+      value: 73.61179700374726
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
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+      value: 30.3983428793953
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+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 28.78917156239751
+    - type: v_measures
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+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 45.929215298244664
+    - type: v_measures
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+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
+    metrics:
+    - type: v_measure
+      value: 51.444598402601414
+    - type: v_measures
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+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 77.89395841192561
+    - type: mrr
+      value: 93.39039319431475
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.82277227722773
+    - type: cos_sim_ap
+      value: 95.3535743677476
+    - type: cos_sim_f1
+      value: 91.00050276520865
+    - type: cos_sim_precision
+      value: 91.50657229524772
+    - type: cos_sim_recall
+      value: 90.5
+    - type: dot_accuracy
+      value: 99.73267326732673
+    - type: dot_ap
+      value: 92.1266370356305
+    - type: dot_f1
+      value: 86.13810741687979
+    - type: dot_precision
+      value: 88.1675392670157
+    - type: dot_recall
+      value: 84.2
+    - type: euclidean_accuracy
+      value: 99.82277227722773
+    - type: euclidean_ap
+      value: 95.24537694377634
+    - type: euclidean_f1
+      value: 90.91831557584982
+    - type: euclidean_precision
+      value: 92.27600411946447
+    - type: euclidean_recall
+      value: 89.60000000000001
+    - type: manhattan_accuracy
+      value: 99.81881188118813
+    - type: manhattan_ap
+      value: 95.30188096008806
+    - type: manhattan_f1
+      value: 90.83625438157236
+    - type: manhattan_precision
+      value: 90.97291875626881
+    - type: manhattan_recall
+      value: 90.7
+    - type: max_accuracy
+      value: 99.82277227722773
+    - type: max_ap
+      value: 95.3535743677476
+    - type: max_f1
+      value: 91.00050276520865
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 52.18146042107239
+    - type: v_measures
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+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 30.666751785479224
+    - type: v_measures
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+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 46.78149995864765
+    - type: mrr
+      value: 47.45282393260334
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
+    metrics:
+    - type: accuracy
+      value: 66.2939453125
+    - type: ap
+      value: 11.764275936169392
+    - type: f1
+      value: 50.50689429240701
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 59.49066213921902
+    - type: f1
+      value: 59.85044985699777
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 39.44109250212289
+    - type: v_measures
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+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 84.25821064552662
+    - type: cos_sim_ap
+      value: 67.96785265119063
+    - type: cos_sim_f1
+      value: 65.0070788107598
+    - type: cos_sim_precision
+      value: 58.792146820315835
+    - type: cos_sim_recall
+      value: 72.69129287598945
+    - type: dot_accuracy
+      value: 81.47463789712106
+    - type: dot_ap
+      value: 58.234902049577684
+    - type: dot_f1
+      value: 56.73442037078401
+    - type: dot_precision
+      value: 49.18667699457785
+    - type: dot_recall
+      value: 67.01846965699208
+    - type: euclidean_accuracy
+      value: 84.30589497526375
+    - type: euclidean_ap
+      value: 68.07824251821404
+    - type: euclidean_f1
+      value: 65.09073543457498
+    - type: euclidean_precision
+      value: 59.44177932839075
+    - type: euclidean_recall
+      value: 71.92612137203166
+    - type: manhattan_accuracy
+      value: 84.24032902187518
+    - type: manhattan_ap
+      value: 67.76838044141897
+    - type: manhattan_f1
+      value: 64.75698520779525
+    - type: manhattan_precision
+      value: 58.333333333333336
+    - type: manhattan_recall
+      value: 72.77044854881267
+    - type: max_accuracy
+      value: 84.30589497526375
+    - type: max_ap
+      value: 68.07824251821404
+    - type: max_f1
+      value: 65.09073543457498
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.2951061435169
+    - type: cos_sim_ap
+      value: 84.74905878045149
+    - type: cos_sim_f1
+      value: 77.01659871869538
+    - type: cos_sim_precision
+      value: 73.0392156862745
+    - type: cos_sim_recall
+      value: 81.45210963966738
+    - type: dot_accuracy
+      value: 86.37598478674273
+    - type: dot_ap
+      value: 79.17253140971533
+    - type: dot_f1
+      value: 73.19411657889958
+    - type: dot_precision
+      value: 69.27201484842236
+    - type: dot_recall
+      value: 77.58700338774254
+    - type: euclidean_accuracy
+      value: 88.29122521054062
+    - type: euclidean_ap
+      value: 84.64901724668165
+    - type: euclidean_f1
+      value: 76.99685189252507
+    - type: euclidean_precision
+      value: 73.39148639218422
+    - type: euclidean_recall
+      value: 80.97474591931014
+    - type: manhattan_accuracy
+      value: 88.29316567702877
+    - type: manhattan_ap
+      value: 84.5869003947086
+    - type: manhattan_f1
+      value: 76.9094138543517
+    - type: manhattan_precision
+      value: 74.03818751781134
+    - type: manhattan_recall
+      value: 80.01231906375116
+    - type: max_accuracy
+      value: 88.2951061435169
+    - type: max_ap
+      value: 84.74905878045149
+    - type: max_f1
+      value: 77.01659871869538
 ---
 # Bulbasaur