Update README.md

README.md

@@ -5,6 +5,1858 @@ datasets:
 - BeastyZ/ConRetriever
 language:
 - en
+
+model-index:
+- name: e5-R-mistral-7b
+  results:
+  - dataset:
+      config: default
+      name: MTEB ArguAna (default)
+      revision: None
+      split: test
+      type: mteb/arguana
+    metrics:
+    - type: map_at_1
+      value: 33.57
+    - type: map_at_10
+      value: 49.952000000000005
+    - type: map_at_100
+      value: 50.673
+    - type: map_at_1000
+      value: 50.674
+    - type: map_at_3
+      value: 44.915
+    - type: map_at_5
+      value: 47.876999999999995
+    - type: mrr_at_1
+      value: 34.211000000000006
+    - type: mrr_at_10
+      value: 50.19
+    - type: mrr_at_100
+      value: 50.905
+    - type: mrr_at_1000
+      value: 50.906
+    - type: mrr_at_3
+      value: 45.128
+    - type: mrr_at_5
+      value: 48.097
+    - type: ndcg_at_1
+      value: 33.57
+    - type: ndcg_at_10
+      value: 58.994
+    - type: ndcg_at_100
+      value: 61.806000000000004
+    - type: ndcg_at_1000
+      value: 61.824999999999996
+    - type: ndcg_at_3
+      value: 48.681000000000004
+    - type: ndcg_at_5
+      value: 54.001
+    - type: precision_at_1
+      value: 33.57
+    - type: precision_at_10
+      value: 8.784
+    - type: precision_at_100
+      value: 0.9950000000000001
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 19.867
+    - type: precision_at_5
+      value: 14.495
+    - type: recall_at_1
+      value: 33.57
+    - type: recall_at_10
+      value: 87.83800000000001
+    - type: recall_at_100
+      value: 99.502
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 59.602
+    - type: recall_at_5
+      value: 72.475
+    - type: main_score
+      value: 58.994
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackAndroidRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/cqadupstack-android
+    metrics:
+    - type: map_at_1
+      value: 34.577999999999996
+    - type: map_at_10
+      value: 47.308
+    - type: map_at_100
+      value: 49.014
+    - type: map_at_1000
+      value: 49.126999999999995
+    - type: map_at_3
+      value: 43.4
+    - type: map_at_5
+      value: 45.426
+    - type: mrr_at_1
+      value: 42.632
+    - type: mrr_at_10
+      value: 53.711
+    - type: mrr_at_100
+      value: 54.422000000000004
+    - type: mrr_at_1000
+      value: 54.452
+    - type: mrr_at_3
+      value: 51.097
+    - type: mrr_at_5
+      value: 52.535
+    - type: ndcg_at_1
+      value: 42.632
+    - type: ndcg_at_10
+      value: 54.408
+    - type: ndcg_at_100
+      value: 59.789
+    - type: ndcg_at_1000
+      value: 61.149
+    - type: ndcg_at_3
+      value: 49.0
+    - type: ndcg_at_5
+      value: 51.141000000000005
+    - type: precision_at_1
+      value: 42.632
+    - type: precision_at_10
+      value: 10.472
+    - type: precision_at_100
+      value: 1.6469999999999998
+    - type: precision_at_1000
+      value: 0.203
+    - type: precision_at_3
+      value: 23.701
+    - type: precision_at_5
+      value: 16.938
+    - type: recall_at_1
+      value: 34.577999999999996
+    - type: recall_at_10
+      value: 67.948
+    - type: recall_at_100
+      value: 89.642
+    - type: recall_at_1000
+      value: 97.597
+    - type: recall_at_3
+      value: 51.381
+    - type: recall_at_5
+      value: 57.855000000000004
+    - type: main_score
+      value: 54.408
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackEnglishRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/cqadupstack-english
+    metrics:
+    - type: map_at_1
+      value: 36.195
+    - type: map_at_10
+      value: 48.433
+    - type: map_at_100
+      value: 49.724000000000004
+    - type: map_at_1000
+      value: 49.842999999999996
+    - type: map_at_3
+      value: 44.940000000000005
+    - type: map_at_5
+      value: 46.992
+    - type: mrr_at_1
+      value: 45.669
+    - type: mrr_at_10
+      value: 54.627
+    - type: mrr_at_100
+      value: 55.186
+    - type: mrr_at_1000
+      value: 55.221
+    - type: mrr_at_3
+      value: 52.282
+    - type: mrr_at_5
+      value: 53.795
+    - type: ndcg_at_1
+      value: 45.669
+    - type: ndcg_at_10
+      value: 54.494
+    - type: ndcg_at_100
+      value: 58.582
+    - type: ndcg_at_1000
+      value: 60.305
+    - type: ndcg_at_3
+      value: 49.978
+    - type: ndcg_at_5
+      value: 52.251999999999995
+    - type: precision_at_1
+      value: 45.669
+    - type: precision_at_10
+      value: 10.255
+    - type: precision_at_100
+      value: 1.582
+    - type: precision_at_1000
+      value: 0.202
+    - type: precision_at_3
+      value: 24.352
+    - type: precision_at_5
+      value: 17.236
+    - type: recall_at_1
+      value: 36.195
+    - type: recall_at_10
+      value: 65.058
+    - type: recall_at_100
+      value: 81.972
+    - type: recall_at_1000
+      value: 92.527
+    - type: recall_at_3
+      value: 51.427
+    - type: recall_at_5
+      value: 57.915000000000006
+    - type: main_score
+      value: 54.494
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackGamingRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/cqadupstack-gaming
+    metrics:
+    - type: map_at_1
+      value: 44.521
+    - type: map_at_10
+      value: 58.418000000000006
+    - type: map_at_100
+      value: 59.447
+    - type: map_at_1000
+      value: 59.484
+    - type: map_at_3
+      value: 54.954
+    - type: map_at_5
+      value: 56.940999999999995
+    - type: mrr_at_1
+      value: 51.097
+    - type: mrr_at_10
+      value: 61.751
+    - type: mrr_at_100
+      value: 62.373999999999995
+    - type: mrr_at_1000
+      value: 62.39
+    - type: mrr_at_3
+      value: 59.467000000000006
+    - type: mrr_at_5
+      value: 60.853
+    - type: ndcg_at_1
+      value: 51.097
+    - type: ndcg_at_10
+      value: 64.47699999999999
+    - type: ndcg_at_100
+      value: 68.162
+    - type: ndcg_at_1000
+      value: 68.807
+    - type: ndcg_at_3
+      value: 59.028000000000006
+    - type: ndcg_at_5
+      value: 61.75000000000001
+    - type: precision_at_1
+      value: 51.097
+    - type: precision_at_10
+      value: 10.313
+    - type: precision_at_100
+      value: 1.303
+    - type: precision_at_1000
+      value: 0.13899999999999998
+    - type: precision_at_3
+      value: 26.352999999999998
+    - type: precision_at_5
+      value: 17.931
+    - type: recall_at_1
+      value: 44.521
+    - type: recall_at_10
+      value: 78.81
+    - type: recall_at_100
+      value: 94.12899999999999
+    - type: recall_at_1000
+      value: 98.542
+    - type: recall_at_3
+      value: 64.363
+    - type: recall_at_5
+      value: 71.114
+    - type: main_score
+      value: 64.47699999999999
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackGisRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/cqadupstack-gis
+    metrics:
+    - type: map_at_1
+      value: 27.913
+    - type: map_at_10
+      value: 37.518
+    - type: map_at_100
+      value: 38.559
+    - type: map_at_1000
+      value: 38.635999999999996
+    - type: map_at_3
+      value: 34.304
+    - type: map_at_5
+      value: 36.142
+    - type: mrr_at_1
+      value: 30.056
+    - type: mrr_at_10
+      value: 39.493
+    - type: mrr_at_100
+      value: 40.411
+    - type: mrr_at_1000
+      value: 40.46
+    - type: mrr_at_3
+      value: 36.629
+    - type: mrr_at_5
+      value: 38.239000000000004
+    - type: ndcg_at_1
+      value: 30.056
+    - type: ndcg_at_10
+      value: 43.038
+    - type: ndcg_at_100
+      value: 48.254000000000005
+    - type: ndcg_at_1000
+      value: 49.94
+    - type: ndcg_at_3
+      value: 36.897000000000006
+    - type: ndcg_at_5
+      value: 39.918
+    - type: precision_at_1
+      value: 30.056
+    - type: precision_at_10
+      value: 6.701
+    - type: precision_at_100
+      value: 0.983
+    - type: precision_at_1000
+      value: 0.116
+    - type: precision_at_3
+      value: 15.518
+    - type: precision_at_5
+      value: 11.096
+    - type: recall_at_1
+      value: 27.913
+    - type: recall_at_10
+      value: 58.111999999999995
+    - type: recall_at_100
+      value: 82.133
+    - type: recall_at_1000
+      value: 94.388
+    - type: recall_at_3
+      value: 41.735
+    - type: recall_at_5
+      value: 48.929
+    - type: main_score
+      value: 43.038
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackMathematicaRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/cqadupstack-mathematica
+    metrics:
+    - type: map_at_1
+      value: 19.505
+    - type: map_at_10
+      value: 28.723
+    - type: map_at_100
+      value: 30.184
+    - type: map_at_1000
+      value: 30.298000000000002
+    - type: map_at_3
+      value: 25.317
+    - type: map_at_5
+      value: 27.247
+    - type: mrr_at_1
+      value: 24.254
+    - type: mrr_at_10
+      value: 33.743
+    - type: mrr_at_100
+      value: 34.8
+    - type: mrr_at_1000
+      value: 34.859
+    - type: mrr_at_3
+      value: 30.659
+    - type: mrr_at_5
+      value: 32.481
+    - type: ndcg_at_1
+      value: 24.254
+    - type: ndcg_at_10
+      value: 34.797
+    - type: ndcg_at_100
+      value: 41.074
+    - type: ndcg_at_1000
+      value: 43.639
+    - type: ndcg_at_3
+      value: 28.823
+    - type: ndcg_at_5
+      value: 31.679000000000002
+    - type: precision_at_1
+      value: 24.254
+    - type: precision_at_10
+      value: 6.691999999999999
+    - type: precision_at_100
+      value: 1.127
+    - type: precision_at_1000
+      value: 0.147
+    - type: precision_at_3
+      value: 14.179
+    - type: precision_at_5
+      value: 10.647
+    - type: recall_at_1
+      value: 19.505
+    - type: recall_at_10
+      value: 48.495
+    - type: recall_at_100
+      value: 74.888
+    - type: recall_at_1000
+      value: 93.04599999999999
+    - type: recall_at_3
+      value: 31.96
+    - type: recall_at_5
+      value: 39.183
+    - type: main_score
+      value: 34.797
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackPhysicsRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/cqadupstack-physics
+    metrics:
+    - type: map_at_1
+      value: 32.565
+    - type: map_at_10
+      value: 45.793
+    - type: map_at_100
+      value: 47.22
+    - type: map_at_1000
+      value: 47.309
+    - type: map_at_3
+      value: 42.164
+    - type: map_at_5
+      value: 44.114
+    - type: mrr_at_1
+      value: 40.038000000000004
+    - type: mrr_at_10
+      value: 51.086
+    - type: mrr_at_100
+      value: 51.867
+    - type: mrr_at_1000
+      value: 51.897000000000006
+    - type: mrr_at_3
+      value: 48.396
+    - type: mrr_at_5
+      value: 49.921
+    - type: ndcg_at_1
+      value: 40.038000000000004
+    - type: ndcg_at_10
+      value: 52.329
+    - type: ndcg_at_100
+      value: 57.788
+    - type: ndcg_at_1000
+      value: 59.199999999999996
+    - type: ndcg_at_3
+      value: 46.861000000000004
+    - type: ndcg_at_5
+      value: 49.318
+    - type: precision_at_1
+      value: 40.038000000000004
+    - type: precision_at_10
+      value: 9.702
+    - type: precision_at_100
+      value: 1.4500000000000002
+    - type: precision_at_1000
+      value: 0.172
+    - type: precision_at_3
+      value: 22.842000000000002
+    - type: precision_at_5
+      value: 16.014999999999997
+    - type: recall_at_1
+      value: 32.565
+    - type: recall_at_10
+      value: 66.178
+    - type: recall_at_100
+      value: 88.568
+    - type: recall_at_1000
+      value: 97.419
+    - type: recall_at_3
+      value: 50.604000000000006
+    - type: recall_at_5
+      value: 57.247
+    - type: main_score
+      value: 52.329
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackProgrammersRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/cqadupstack-programmers
+    metrics:
+    - type: map_at_1
+      value: 29.395
+    - type: map_at_10
+      value: 41.93
+    - type: map_at_100
+      value: 43.364999999999995
+    - type: map_at_1000
+      value: 43.461
+    - type: map_at_3
+      value: 38.076
+    - type: map_at_5
+      value: 40.099000000000004
+    - type: mrr_at_1
+      value: 36.644
+    - type: mrr_at_10
+      value: 47.336
+    - type: mrr_at_100
+      value: 48.132000000000005
+    - type: mrr_at_1000
+      value: 48.169000000000004
+    - type: mrr_at_3
+      value: 44.196999999999996
+    - type: mrr_at_5
+      value: 45.972
+    - type: ndcg_at_1
+      value: 36.644
+    - type: ndcg_at_10
+      value: 48.768
+    - type: ndcg_at_100
+      value: 54.177
+    - type: ndcg_at_1000
+      value: 55.923
+    - type: ndcg_at_3
+      value: 42.663000000000004
+    - type: ndcg_at_5
+      value: 45.308
+    - type: precision_at_1
+      value: 36.644
+    - type: precision_at_10
+      value: 9.212
+    - type: precision_at_100
+      value: 1.4000000000000001
+    - type: precision_at_1000
+      value: 0.172
+    - type: precision_at_3
+      value: 20.776
+    - type: precision_at_5
+      value: 14.954
+    - type: recall_at_1
+      value: 29.395
+    - type: recall_at_10
+      value: 63.653000000000006
+    - type: recall_at_100
+      value: 85.488
+    - type: recall_at_1000
+      value: 97.235
+    - type: recall_at_3
+      value: 46.64
+    - type: recall_at_5
+      value: 53.604
+    - type: main_score
+      value: 48.768
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackStatsRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/cqadupstack-stats
+    metrics:
+    - type: map_at_1
+      value: 27.642
+    - type: map_at_10
+      value: 35.988
+    - type: map_at_100
+      value: 37.016
+    - type: map_at_1000
+      value: 37.102000000000004
+    - type: map_at_3
+      value: 33.016
+    - type: map_at_5
+      value: 34.598
+    - type: mrr_at_1
+      value: 30.828
+    - type: mrr_at_10
+      value: 38.866
+    - type: mrr_at_100
+      value: 39.732
+    - type: mrr_at_1000
+      value: 39.789
+    - type: mrr_at_3
+      value: 36.35
+    - type: mrr_at_5
+      value: 37.653
+    - type: ndcg_at_1
+      value: 30.828
+    - type: ndcg_at_10
+      value: 41.134
+    - type: ndcg_at_100
+      value: 46.169
+    - type: ndcg_at_1000
+      value: 48.157
+    - type: ndcg_at_3
+      value: 35.674
+    - type: ndcg_at_5
+      value: 38.104
+    - type: precision_at_1
+      value: 30.828
+    - type: precision_at_10
+      value: 6.61
+    - type: precision_at_100
+      value: 1.0030000000000001
+    - type: precision_at_1000
+      value: 0.125
+    - type: precision_at_3
+      value: 15.235000000000001
+    - type: precision_at_5
+      value: 10.706
+    - type: recall_at_1
+      value: 27.642
+    - type: recall_at_10
+      value: 54.142
+    - type: recall_at_100
+      value: 76.988
+    - type: recall_at_1000
+      value: 91.282
+    - type: recall_at_3
+      value: 39.128
+    - type: recall_at_5
+      value: 45.117000000000004
+    - type: main_score
+      value: 41.134
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackTexRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/cqadupstack-tex
+    metrics:
+    - type: map_at_1
+      value: 20.505000000000003
+    - type: map_at_10
+      value: 28.921000000000003
+    - type: map_at_100
+      value: 30.165999999999997
+    - type: map_at_1000
+      value: 30.293
+    - type: map_at_3
+      value: 26.251
+    - type: map_at_5
+      value: 27.669
+    - type: mrr_at_1
+      value: 25.224000000000004
+    - type: mrr_at_10
+      value: 33.4
+    - type: mrr_at_100
+      value: 34.347
+    - type: mrr_at_1000
+      value: 34.418
+    - type: mrr_at_3
+      value: 31.028
+    - type: mrr_at_5
+      value: 32.33
+    - type: ndcg_at_1
+      value: 25.224000000000004
+    - type: ndcg_at_10
+      value: 34.202
+    - type: ndcg_at_100
+      value: 39.757
+    - type: ndcg_at_1000
+      value: 42.481
+    - type: ndcg_at_3
+      value: 29.656
+    - type: ndcg_at_5
+      value: 31.643
+    - type: precision_at_1
+      value: 25.224000000000004
+    - type: precision_at_10
+      value: 6.256
+    - type: precision_at_100
+      value: 1.054
+    - type: precision_at_1000
+      value: 0.148
+    - type: precision_at_3
+      value: 14.12
+    - type: precision_at_5
+      value: 10.103
+    - type: recall_at_1
+      value: 20.505000000000003
+    - type: recall_at_10
+      value: 45.578
+    - type: recall_at_100
+      value: 70.226
+    - type: recall_at_1000
+      value: 89.242
+    - type: recall_at_3
+      value: 32.446999999999996
+    - type: recall_at_5
+      value: 37.842
+    - type: main_score
+      value: 34.202
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackUnixRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/cqadupstack-unix
+    metrics:
+    - type: map_at_1
+      value: 30.446
+    - type: map_at_10
+      value: 41.296
+    - type: map_at_100
+      value: 42.620000000000005
+    - type: map_at_1000
+      value: 42.703
+    - type: map_at_3
+      value: 37.969
+    - type: map_at_5
+      value: 39.878
+    - type: mrr_at_1
+      value: 35.821
+    - type: mrr_at_10
+      value: 45.395
+    - type: mrr_at_100
+      value: 46.308
+    - type: mrr_at_1000
+      value: 46.354
+    - type: mrr_at_3
+      value: 42.553000000000004
+    - type: mrr_at_5
+      value: 44.352999999999994
+    - type: ndcg_at_1
+      value: 35.821
+    - type: ndcg_at_10
+      value: 47.176
+    - type: ndcg_at_100
+      value: 52.827999999999996
+    - type: ndcg_at_1000
+      value: 54.56100000000001
+    - type: ndcg_at_3
+      value: 41.695
+    - type: ndcg_at_5
+      value: 44.424
+    - type: precision_at_1
+      value: 35.821
+    - type: precision_at_10
+      value: 8.106
+    - type: precision_at_100
+      value: 1.2269999999999999
+    - type: precision_at_1000
+      value: 0.147
+    - type: precision_at_3
+      value: 19.403000000000002
+    - type: precision_at_5
+      value: 13.730999999999998
+    - type: recall_at_1
+      value: 30.446
+    - type: recall_at_10
+      value: 60.704
+    - type: recall_at_100
+      value: 84.73
+    - type: recall_at_1000
+      value: 96.531
+    - type: recall_at_3
+      value: 45.615
+    - type: recall_at_5
+      value: 52.683
+    - type: main_score
+      value: 47.176
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackWebmastersRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/cqadupstack-webmasters
+    metrics:
+    - type: map_at_1
+      value: 27.889000000000003
+    - type: map_at_10
+      value: 38.676
+    - type: map_at_100
+      value: 40.448
+    - type: map_at_1000
+      value: 40.689
+    - type: map_at_3
+      value: 35.13
+    - type: map_at_5
+      value: 37.058
+    - type: mrr_at_1
+      value: 34.19
+    - type: mrr_at_10
+      value: 43.532
+    - type: mrr_at_100
+      value: 44.504
+    - type: mrr_at_1000
+      value: 44.554
+    - type: mrr_at_3
+      value: 40.679
+    - type: mrr_at_5
+      value: 42.22
+    - type: ndcg_at_1
+      value: 34.19
+    - type: ndcg_at_10
+      value: 45.335
+    - type: ndcg_at_100
+      value: 51.196
+    - type: ndcg_at_1000
+      value: 53.337
+    - type: ndcg_at_3
+      value: 39.782000000000004
+    - type: ndcg_at_5
+      value: 42.24
+    - type: precision_at_1
+      value: 34.19
+    - type: precision_at_10
+      value: 8.834
+    - type: precision_at_100
+      value: 1.7229999999999999
+    - type: precision_at_1000
+      value: 0.255
+    - type: precision_at_3
+      value: 18.775
+    - type: precision_at_5
+      value: 13.715
+    - type: recall_at_1
+      value: 27.889000000000003
+    - type: recall_at_10
+      value: 58.391000000000005
+    - type: recall_at_100
+      value: 83.94200000000001
+    - type: recall_at_1000
+      value: 96.736
+    - type: recall_at_3
+      value: 42.208
+    - type: recall_at_5
+      value: 48.947
+    - type: main_score
+      value: 45.335
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackWordpressRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/cqadupstack-wordpress
+    metrics:
+    - type: map_at_1
+      value: 24.75
+    - type: map_at_10
+      value: 34.025
+    - type: map_at_100
+      value: 35.126000000000005
+    - type: map_at_1000
+      value: 35.219
+    - type: map_at_3
+      value: 31.607000000000003
+    - type: map_at_5
+      value: 32.962
+    - type: mrr_at_1
+      value: 27.357
+    - type: mrr_at_10
+      value: 36.370999999999995
+    - type: mrr_at_100
+      value: 37.364000000000004
+    - type: mrr_at_1000
+      value: 37.423
+    - type: mrr_at_3
+      value: 34.288000000000004
+    - type: mrr_at_5
+      value: 35.434
+    - type: ndcg_at_1
+      value: 27.357
+    - type: ndcg_at_10
+      value: 38.97
+    - type: ndcg_at_100
+      value: 44.317
+    - type: ndcg_at_1000
+      value: 46.475
+    - type: ndcg_at_3
+      value: 34.473
+    - type: ndcg_at_5
+      value: 36.561
+    - type: precision_at_1
+      value: 27.357
+    - type: precision_at_10
+      value: 6.081
+    - type: precision_at_100
+      value: 0.9299999999999999
+    - type: precision_at_1000
+      value: 0.124
+    - type: precision_at_3
+      value: 14.911
+    - type: precision_at_5
+      value: 10.24
+    - type: recall_at_1
+      value: 24.75
+    - type: recall_at_10
+      value: 51.856
+    - type: recall_at_100
+      value: 76.44300000000001
+    - type: recall_at_1000
+      value: 92.078
+    - type: recall_at_3
+      value: 39.427
+    - type: recall_at_5
+      value: 44.639
+    - type: main_score
+      value: 38.97
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB ClimateFEVER (default)
+      revision: None
+      split: test
+      type: mteb/climate-fever
+    metrics:
+    - type: map_at_1
+      value: 16.436
+    - type: map_at_10
+      value: 29.693
+    - type: map_at_100
+      value: 32.179
+    - type: map_at_1000
+      value: 32.353
+    - type: map_at_3
+      value: 24.556
+    - type: map_at_5
+      value: 27.105
+    - type: mrr_at_1
+      value: 37.524
+    - type: mrr_at_10
+      value: 51.475
+    - type: mrr_at_100
+      value: 52.107000000000006
+    - type: mrr_at_1000
+      value: 52.123
+    - type: mrr_at_3
+      value: 48.35
+    - type: mrr_at_5
+      value: 50.249
+    - type: ndcg_at_1
+      value: 37.524
+    - type: ndcg_at_10
+      value: 40.258
+    - type: ndcg_at_100
+      value: 48.364000000000004
+    - type: ndcg_at_1000
+      value: 51.031000000000006
+    - type: ndcg_at_3
+      value: 33.359
+    - type: ndcg_at_5
+      value: 35.573
+    - type: precision_at_1
+      value: 37.524
+    - type: precision_at_10
+      value: 12.886000000000001
+    - type: precision_at_100
+      value: 2.169
+    - type: precision_at_1000
+      value: 0.268
+    - type: precision_at_3
+      value: 25.624000000000002
+    - type: precision_at_5
+      value: 19.453
+    - type: recall_at_1
+      value: 16.436
+    - type: recall_at_10
+      value: 47.77
+    - type: recall_at_100
+      value: 74.762
+    - type: recall_at_1000
+      value: 89.316
+    - type: recall_at_3
+      value: 30.508000000000003
+    - type: recall_at_5
+      value: 37.346000000000004
+    - type: main_score
+      value: 40.258
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB DBPedia (default)
+      revision: None
+      split: test
+      type: mteb/dbpedia
+    metrics:
+    - type: map_at_1
+      value: 10.147
+    - type: map_at_10
+      value: 24.631
+    - type: map_at_100
+      value: 35.657
+    - type: map_at_1000
+      value: 37.824999999999996
+    - type: map_at_3
+      value: 16.423
+    - type: map_at_5
+      value: 19.666
+    - type: mrr_at_1
+      value: 76.5
+    - type: mrr_at_10
+      value: 82.793
+    - type: mrr_at_100
+      value: 83.015
+    - type: mrr_at_1000
+      value: 83.021
+    - type: mrr_at_3
+      value: 81.75
+    - type: mrr_at_5
+      value: 82.375
+    - type: ndcg_at_1
+      value: 64.75
+    - type: ndcg_at_10
+      value: 51.031000000000006
+    - type: ndcg_at_100
+      value: 56.005
+    - type: ndcg_at_1000
+      value: 63.068000000000005
+    - type: ndcg_at_3
+      value: 54.571999999999996
+    - type: ndcg_at_5
+      value: 52.66499999999999
+    - type: precision_at_1
+      value: 76.5
+    - type: precision_at_10
+      value: 42.15
+    - type: precision_at_100
+      value: 13.22
+    - type: precision_at_1000
+      value: 2.5989999999999998
+    - type: precision_at_3
+      value: 58.416999999999994
+    - type: precision_at_5
+      value: 52.2
+    - type: recall_at_1
+      value: 10.147
+    - type: recall_at_10
+      value: 30.786
+    - type: recall_at_100
+      value: 62.873000000000005
+    - type: recall_at_1000
+      value: 85.358
+    - type: recall_at_3
+      value: 17.665
+    - type: recall_at_5
+      value: 22.088
+    - type: main_score
+      value: 51.031000000000006
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB FEVER (default)
+      revision: None
+      split: test
+      type: mteb/fever
+    metrics:
+    - type: map_at_1
+      value: 78.52900000000001
+    - type: map_at_10
+      value: 87.24199999999999
+    - type: map_at_100
+      value: 87.446
+    - type: map_at_1000
+      value: 87.457
+    - type: map_at_3
+      value: 86.193
+    - type: map_at_5
+      value: 86.898
+    - type: mrr_at_1
+      value: 84.518
+    - type: mrr_at_10
+      value: 90.686
+    - type: mrr_at_100
+      value: 90.73
+    - type: mrr_at_1000
+      value: 90.731
+    - type: mrr_at_3
+      value: 90.227
+    - type: mrr_at_5
+      value: 90.575
+    - type: ndcg_at_1
+      value: 84.518
+    - type: ndcg_at_10
+      value: 90.324
+    - type: ndcg_at_100
+      value: 90.96300000000001
+    - type: ndcg_at_1000
+      value: 91.134
+    - type: ndcg_at_3
+      value: 88.937
+    - type: ndcg_at_5
+      value: 89.788
+    - type: precision_at_1
+      value: 84.518
+    - type: precision_at_10
+      value: 10.872
+    - type: precision_at_100
+      value: 1.1440000000000001
+    - type: precision_at_1000
+      value: 0.117
+    - type: precision_at_3
+      value: 34.108
+    - type: precision_at_5
+      value: 21.154999999999998
+    - type: recall_at_1
+      value: 78.52900000000001
+    - type: recall_at_10
+      value: 96.123
+    - type: recall_at_100
+      value: 98.503
+    - type: recall_at_1000
+      value: 99.518
+    - type: recall_at_3
+      value: 92.444
+    - type: recall_at_5
+      value: 94.609
+    - type: main_score
+      value: 90.324
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB FiQA2018 (default)
+      revision: None
+      split: test
+      type: mteb/fiqa
+    metrics:
+    - type: map_at_1
+      value: 29.38
+    - type: map_at_10
+      value: 50.28
+    - type: map_at_100
+      value: 52.532999999999994
+    - type: map_at_1000
+      value: 52.641000000000005
+    - type: map_at_3
+      value: 43.556
+    - type: map_at_5
+      value: 47.617
+    - type: mrr_at_1
+      value: 56.79
+    - type: mrr_at_10
+      value: 65.666
+    - type: mrr_at_100
+      value: 66.211
+    - type: mrr_at_1000
+      value: 66.226
+    - type: mrr_at_3
+      value: 63.452
+    - type: mrr_at_5
+      value: 64.895
+    - type: ndcg_at_1
+      value: 56.79
+    - type: ndcg_at_10
+      value: 58.68
+    - type: ndcg_at_100
+      value: 65.22
+    - type: ndcg_at_1000
+      value: 66.645
+    - type: ndcg_at_3
+      value: 53.981
+    - type: ndcg_at_5
+      value: 55.95
+    - type: precision_at_1
+      value: 56.79
+    - type: precision_at_10
+      value: 16.311999999999998
+    - type: precision_at_100
+      value: 2.316
+    - type: precision_at_1000
+      value: 0.258
+    - type: precision_at_3
+      value: 36.214
+    - type: precision_at_5
+      value: 27.067999999999998
+    - type: recall_at_1
+      value: 29.38
+    - type: recall_at_10
+      value: 66.503
+    - type: recall_at_100
+      value: 89.885
+    - type: recall_at_1000
+      value: 97.954
+    - type: recall_at_3
+      value: 48.866
+    - type: recall_at_5
+      value: 57.60999999999999
+    - type: main_score
+      value: 58.68
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB HotpotQA (default)
+      revision: None
+      split: test
+      type: mteb/hotpotqa
+    metrics:
+    - type: map_at_1
+      value: 42.134
+    - type: map_at_10
+      value: 73.412
+    - type: map_at_100
+      value: 74.144
+    - type: map_at_1000
+      value: 74.181
+    - type: map_at_3
+      value: 70.016
+    - type: map_at_5
+      value: 72.174
+    - type: mrr_at_1
+      value: 84.267
+    - type: mrr_at_10
+      value: 89.18599999999999
+    - type: mrr_at_100
+      value: 89.29599999999999
+    - type: mrr_at_1000
+      value: 89.298
+    - type: mrr_at_3
+      value: 88.616
+    - type: mrr_at_5
+      value: 88.957
+    - type: ndcg_at_1
+      value: 84.267
+    - type: ndcg_at_10
+      value: 80.164
+    - type: ndcg_at_100
+      value: 82.52199999999999
+    - type: ndcg_at_1000
+      value: 83.176
+    - type: ndcg_at_3
+      value: 75.616
+    - type: ndcg_at_5
+      value: 78.184
+    - type: precision_at_1
+      value: 84.267
+    - type: precision_at_10
+      value: 16.916
+    - type: precision_at_100
+      value: 1.872
+    - type: precision_at_1000
+      value: 0.196
+    - type: precision_at_3
+      value: 49.71
+    - type: precision_at_5
+      value: 31.854
+    - type: recall_at_1
+      value: 42.134
+    - type: recall_at_10
+      value: 84.578
+    - type: recall_at_100
+      value: 93.606
+    - type: recall_at_1000
+      value: 97.86
+    - type: recall_at_3
+      value: 74.564
+    - type: recall_at_5
+      value: 79.635
+    - type: main_score
+      value: 80.164
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB MSMARCO (default)
+      revision: None
+      split: dev
+      type: mteb/msmarco
+    metrics:
+    - type: map_at_1
+      value: 22.276
+    - type: map_at_10
+      value: 35.493
+    - type: map_at_100
+      value: 36.656
+    - type: map_at_1000
+      value: 36.699
+    - type: map_at_3
+      value: 31.320999999999998
+    - type: map_at_5
+      value: 33.772999999999996
+    - type: mrr_at_1
+      value: 22.966
+    - type: mrr_at_10
+      value: 36.074
+    - type: mrr_at_100
+      value: 37.183
+    - type: mrr_at_1000
+      value: 37.219
+    - type: mrr_at_3
+      value: 31.984
+    - type: mrr_at_5
+      value: 34.419
+    - type: ndcg_at_1
+      value: 22.966
+    - type: ndcg_at_10
+      value: 42.895
+    - type: ndcg_at_100
+      value: 48.453
+    - type: ndcg_at_1000
+      value: 49.464999999999996
+    - type: ndcg_at_3
+      value: 34.410000000000004
+    - type: ndcg_at_5
+      value: 38.78
+    - type: precision_at_1
+      value: 22.966
+    - type: precision_at_10
+      value: 6.88
+    - type: precision_at_100
+      value: 0.966
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_3
+      value: 14.785
+    - type: precision_at_5
+      value: 11.074
+    - type: recall_at_1
+      value: 22.276
+    - type: recall_at_10
+      value: 65.756
+    - type: recall_at_100
+      value: 91.34100000000001
+    - type: recall_at_1000
+      value: 98.957
+    - type: recall_at_3
+      value: 42.67
+    - type: recall_at_5
+      value: 53.161
+    - type: main_score
+      value: 42.895
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB NFCorpus (default)
+      revision: None
+      split: test
+      type: mteb/nfcorpus
+    metrics:
+    - type: map_at_1
+      value: 7.188999999999999
+    - type: map_at_10
+      value: 16.176
+    - type: map_at_100
+      value: 20.504
+    - type: map_at_1000
+      value: 22.203999999999997
+    - type: map_at_3
+      value: 11.766
+    - type: map_at_5
+      value: 13.655999999999999
+    - type: mrr_at_1
+      value: 55.418
+    - type: mrr_at_10
+      value: 62.791
+    - type: mrr_at_100
+      value: 63.339
+    - type: mrr_at_1000
+      value: 63.369
+    - type: mrr_at_3
+      value: 60.99099999999999
+    - type: mrr_at_5
+      value: 62.059
+    - type: ndcg_at_1
+      value: 53.715
+    - type: ndcg_at_10
+      value: 41.377
+    - type: ndcg_at_100
+      value: 37.999
+    - type: ndcg_at_1000
+      value: 46.726
+    - type: ndcg_at_3
+      value: 47.262
+    - type: ndcg_at_5
+      value: 44.708999999999996
+    - type: precision_at_1
+      value: 55.108000000000004
+    - type: precision_at_10
+      value: 30.154999999999998
+    - type: precision_at_100
+      value: 9.582
+    - type: precision_at_1000
+      value: 2.2720000000000002
+    - type: precision_at_3
+      value: 43.55
+    - type: precision_at_5
+      value: 38.204
+    - type: recall_at_1
+      value: 7.188999999999999
+    - type: recall_at_10
+      value: 20.655
+    - type: recall_at_100
+      value: 38.068000000000005
+    - type: recall_at_1000
+      value: 70.208
+    - type: recall_at_3
+      value: 12.601
+    - type: recall_at_5
+      value: 15.573999999999998
+    - type: main_score
+      value: 41.377
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB NQ (default)
+      revision: None
+      split: test
+      type: mteb/nq
+    metrics:
+    - type: map_at_1
+      value: 46.017
+    - type: map_at_10
+      value: 62.910999999999994
+    - type: map_at_100
+      value: 63.526
+    - type: map_at_1000
+      value: 63.536
+    - type: map_at_3
+      value: 59.077999999999996
+    - type: map_at_5
+      value: 61.521
+    - type: mrr_at_1
+      value: 51.68000000000001
+    - type: mrr_at_10
+      value: 65.149
+    - type: mrr_at_100
+      value: 65.542
+    - type: mrr_at_1000
+      value: 65.55
+    - type: mrr_at_3
+      value: 62.49
+    - type: mrr_at_5
+      value: 64.178
+    - type: ndcg_at_1
+      value: 51.651
+    - type: ndcg_at_10
+      value: 69.83500000000001
+    - type: ndcg_at_100
+      value: 72.18
+    - type: ndcg_at_1000
+      value: 72.393
+    - type: ndcg_at_3
+      value: 63.168
+    - type: ndcg_at_5
+      value: 66.958
+    - type: precision_at_1
+      value: 51.651
+    - type: precision_at_10
+      value: 10.626
+    - type: precision_at_100
+      value: 1.195
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 28.012999999999998
+    - type: precision_at_5
+      value: 19.09
+    - type: recall_at_1
+      value: 46.017
+    - type: recall_at_10
+      value: 88.345
+    - type: recall_at_100
+      value: 98.129
+    - type: recall_at_1000
+      value: 99.696
+    - type: recall_at_3
+      value: 71.531
+    - type: recall_at_5
+      value: 80.108
+    - type: main_score
+      value: 69.83500000000001
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB QuoraRetrieval (default)
+      revision: None
+      split: test
+      type: mteb/quora
+    metrics:
+    - type: map_at_1
+      value: 72.473
+    - type: map_at_10
+      value: 86.72800000000001
+    - type: map_at_100
+      value: 87.323
+    - type: map_at_1000
+      value: 87.332
+    - type: map_at_3
+      value: 83.753
+    - type: map_at_5
+      value: 85.627
+    - type: mrr_at_1
+      value: 83.39
+    - type: mrr_at_10
+      value: 89.149
+    - type: mrr_at_100
+      value: 89.228
+    - type: mrr_at_1000
+      value: 89.229
+    - type: mrr_at_3
+      value: 88.335
+    - type: mrr_at_5
+      value: 88.895
+    - type: ndcg_at_1
+      value: 83.39
+    - type: ndcg_at_10
+      value: 90.109
+    - type: ndcg_at_100
+      value: 91.09
+    - type: ndcg_at_1000
+      value: 91.13900000000001
+    - type: ndcg_at_3
+      value: 87.483
+    - type: ndcg_at_5
+      value: 88.942
+    - type: precision_at_1
+      value: 83.39
+    - type: precision_at_10
+      value: 13.711
+    - type: precision_at_100
+      value: 1.549
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 38.342999999999996
+    - type: precision_at_5
+      value: 25.188
+    - type: recall_at_1
+      value: 72.473
+    - type: recall_at_10
+      value: 96.57
+    - type: recall_at_100
+      value: 99.792
+    - type: recall_at_1000
+      value: 99.99900000000001
+    - type: recall_at_3
+      value: 88.979
+    - type: recall_at_5
+      value: 93.163
+    - type: main_score
+      value: 90.109
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB SCIDOCS (default)
+      revision: None
+      split: test
+      type: mteb/scidocs
+    metrics:
+    - type: map_at_1
+      value: 4.598
+    - type: map_at_10
+      value: 11.405999999999999
+    - type: map_at_100
+      value: 13.447999999999999
+    - type: map_at_1000
+      value: 13.758999999999999
+    - type: map_at_3
+      value: 8.332
+    - type: map_at_5
+      value: 9.709
+    - type: mrr_at_1
+      value: 22.6
+    - type: mrr_at_10
+      value: 32.978
+    - type: mrr_at_100
+      value: 34.149
+    - type: mrr_at_1000
+      value: 34.213
+    - type: mrr_at_3
+      value: 29.7
+    - type: mrr_at_5
+      value: 31.485000000000003
+    - type: ndcg_at_1
+      value: 22.6
+    - type: ndcg_at_10
+      value: 19.259999999999998
+    - type: ndcg_at_100
+      value: 27.21
+    - type: ndcg_at_1000
+      value: 32.7
+    - type: ndcg_at_3
+      value: 18.445
+    - type: ndcg_at_5
+      value: 15.812000000000001
+    - type: precision_at_1
+      value: 22.6
+    - type: precision_at_10
+      value: 9.959999999999999
+    - type: precision_at_100
+      value: 2.139
+    - type: precision_at_1000
+      value: 0.345
+    - type: precision_at_3
+      value: 17.299999999999997
+    - type: precision_at_5
+      value: 13.719999999999999
+    - type: recall_at_1
+      value: 4.598
+    - type: recall_at_10
+      value: 20.186999999999998
+    - type: recall_at_100
+      value: 43.362
+    - type: recall_at_1000
+      value: 70.11800000000001
+    - type: recall_at_3
+      value: 10.543
+    - type: recall_at_5
+      value: 13.923
+    - type: main_score
+      value: 19.259999999999998
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB SciFact (default)
+      revision: None
+      split: test
+      type: mteb/scifact
+    metrics:
+    - type: map_at_1
+      value: 65.467
+    - type: map_at_10
+      value: 74.935
+    - type: map_at_100
+      value: 75.395
+    - type: map_at_1000
+      value: 75.412
+    - type: map_at_3
+      value: 72.436
+    - type: map_at_5
+      value: 73.978
+    - type: mrr_at_1
+      value: 68.667
+    - type: mrr_at_10
+      value: 76.236
+    - type: mrr_at_100
+      value: 76.537
+    - type: mrr_at_1000
+      value: 76.55499999999999
+    - type: mrr_at_3
+      value: 74.722
+    - type: mrr_at_5
+      value: 75.639
+    - type: ndcg_at_1
+      value: 68.667
+    - type: ndcg_at_10
+      value: 78.92099999999999
+    - type: ndcg_at_100
+      value: 80.645
+    - type: ndcg_at_1000
+      value: 81.045
+    - type: ndcg_at_3
+      value: 75.19500000000001
+    - type: ndcg_at_5
+      value: 77.114
+    - type: precision_at_1
+      value: 68.667
+    - type: precision_at_10
+      value: 10.133000000000001
+    - type: precision_at_100
+      value: 1.0999999999999999
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 28.889
+    - type: precision_at_5
+      value: 18.8
+    - type: recall_at_1
+      value: 65.467
+    - type: recall_at_10
+      value: 89.517
+    - type: recall_at_100
+      value: 97.0
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 79.72200000000001
+    - type: recall_at_5
+      value: 84.511
+    - type: main_score
+      value: 78.92099999999999
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB TRECCOVID (default)
+      revision: None
+      split: test
+      type: mteb/trec-covid
+    metrics:
+    - type: map_at_1
+      value: 0.244
+    - type: map_at_10
+      value: 2.183
+    - type: map_at_100
+      value: 13.712
+    - type: map_at_1000
+      value: 33.147
+    - type: map_at_3
+      value: 0.7270000000000001
+    - type: map_at_5
+      value: 1.199
+    - type: mrr_at_1
+      value: 94.0
+    - type: mrr_at_10
+      value: 97.0
+    - type: mrr_at_100
+      value: 97.0
+    - type: mrr_at_1000
+      value: 97.0
+    - type: mrr_at_3
+      value: 97.0
+    - type: mrr_at_5
+      value: 97.0
+    - type: ndcg_at_1
+      value: 92.0
+    - type: ndcg_at_10
+      value: 84.399
+    - type: ndcg_at_100
+      value: 66.771
+    - type: ndcg_at_1000
+      value: 59.092
+    - type: ndcg_at_3
+      value: 89.173
+    - type: ndcg_at_5
+      value: 88.52600000000001
+    - type: precision_at_1
+      value: 94.0
+    - type: precision_at_10
+      value: 86.8
+    - type: precision_at_100
+      value: 68.24
+    - type: precision_at_1000
+      value: 26.003999999999998
+    - type: precision_at_3
+      value: 92.667
+    - type: precision_at_5
+      value: 92.4
+    - type: recall_at_1
+      value: 0.244
+    - type: recall_at_10
+      value: 2.302
+    - type: recall_at_100
+      value: 16.622
+    - type: recall_at_1000
+      value: 55.175
+    - type: recall_at_3
+      value: 0.748
+    - type: recall_at_5
+      value: 1.247
+    - type: main_score
+      value: 84.399
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB Touche2020 (default)
+      revision: None
+      split: test
+      type: mteb/touche2020
+    metrics:
+    - type: map_at_1
+      value: 2.707
+    - type: map_at_10
+      value: 10.917
+    - type: map_at_100
+      value: 16.308
+    - type: map_at_1000
+      value: 17.953
+    - type: map_at_3
+      value: 5.65
+    - type: map_at_5
+      value: 7.379
+    - type: mrr_at_1
+      value: 34.694
+    - type: mrr_at_10
+      value: 49.745
+    - type: mrr_at_100
+      value: 50.309000000000005
+    - type: mrr_at_1000
+      value: 50.32
+    - type: mrr_at_3
+      value: 44.897999999999996
+    - type: mrr_at_5
+      value: 48.061
+    - type: ndcg_at_1
+      value: 33.672999999999995
+    - type: ndcg_at_10
+      value: 26.894000000000002
+    - type: ndcg_at_100
+      value: 37.423
+    - type: ndcg_at_1000
+      value: 49.376999999999995
+    - type: ndcg_at_3
+      value: 30.456
+    - type: ndcg_at_5
+      value: 27.772000000000002
+    - type: precision_at_1
+      value: 34.694
+    - type: precision_at_10
+      value: 23.878
+    - type: precision_at_100
+      value: 7.489999999999999
+    - type: precision_at_1000
+      value: 1.555
+    - type: precision_at_3
+      value: 31.293
+    - type: precision_at_5
+      value: 26.939
+    - type: recall_at_1
+      value: 2.707
+    - type: recall_at_10
+      value: 18.104
+    - type: recall_at_100
+      value: 46.93
+    - type: recall_at_1000
+      value: 83.512
+    - type: recall_at_3
+      value: 6.622999999999999
+    - type: recall_at_5
+      value: 10.051
+    - type: main_score
+      value: 26.894000000000002
+    task:
+      type: Retrieval
+tags:
+- mteb
 ---
 
 # Model Card for e5-R-mistral-7b