Create README.md

README.md

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+---
+license: mit
+tags:
+- mteb
+model-index:
+- name: ret-phi2-v0
+  results:
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.609
+    - type: map_at_10
+      value: 39.404
+    - type: map_at_100
+      value: 40.421
+    - type: map_at_1000
+      value: 40.437
+    - type: map_at_3
+      value: 34.258
+    - type: map_at_5
+      value: 37.078
+    - type: mrr_at_1
+      value: 24.822
+    - type: mrr_at_10
+      value: 39.48
+    - type: mrr_at_100
+      value: 40.498
+    - type: mrr_at_1000
+      value: 40.513
+    - type: mrr_at_3
+      value: 34.436
+    - type: mrr_at_5
+      value: 37.156
+    - type: ndcg_at_1
+      value: 24.609
+    - type: ndcg_at_10
+      value: 48.274
+    - type: ndcg_at_100
+      value: 52.654
+    - type: ndcg_at_1000
+      value: 53.037
+    - type: ndcg_at_3
+      value: 37.558
+    - type: ndcg_at_5
+      value: 42.678
+    - type: precision_at_1
+      value: 24.609
+    - type: precision_at_10
+      value: 7.688000000000001
+    - type: precision_at_100
+      value: 0.962
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_3
+      value: 15.717999999999998
+    - type: precision_at_5
+      value: 11.935
+    - type: recall_at_1
+      value: 24.609
+    - type: recall_at_10
+      value: 76.885
+    - type: recall_at_100
+      value: 96.15899999999999
+    - type: recall_at_1000
+      value: 99.14699999999999
+    - type: recall_at_3
+      value: 47.155
+    - type: recall_at_5
+      value: 59.673
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.916
+    - type: map_at_10
+      value: 36.125
+    - type: map_at_100
+      value: 37.423
+    - type: map_at_1000
+      value: 37.545
+    - type: map_at_3
+      value: 33.019
+    - type: map_at_5
+      value: 34.977000000000004
+    - type: mrr_at_1
+      value: 33.906
+    - type: mrr_at_10
+      value: 41.832
+    - type: mrr_at_100
+      value: 42.667
+    - type: mrr_at_1000
+      value: 42.72
+    - type: mrr_at_3
+      value: 39.103
+    - type: mrr_at_5
+      value: 40.763
+    - type: ndcg_at_1
+      value: 33.906
+    - type: ndcg_at_10
+      value: 41.514
+    - type: ndcg_at_100
+      value: 46.855000000000004
+    - type: ndcg_at_1000
+      value: 49.199
+    - type: ndcg_at_3
+      value: 36.666
+    - type: ndcg_at_5
+      value: 39.281
+    - type: precision_at_1
+      value: 33.906
+    - type: precision_at_10
+      value: 7.553999999999999
+    - type: precision_at_100
+      value: 1.239
+    - type: precision_at_1000
+      value: 0.168
+    - type: precision_at_3
+      value: 16.929
+    - type: precision_at_5
+      value: 12.504000000000001
+    - type: recall_at_1
+      value: 27.916
+    - type: recall_at_10
+      value: 51.785000000000004
+    - type: recall_at_100
+      value: 74.566
+    - type: recall_at_1000
+      value: 90.092
+    - type: recall_at_3
+      value: 37.917
+    - type: recall_at_5
+      value: 44.919
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.905
+    - type: map_at_10
+      value: 36.664
+    - type: map_at_100
+      value: 37.796
+    - type: map_at_1000
+      value: 37.911
+    - type: map_at_3
+      value: 34.009
+    - type: map_at_5
+      value: 35.354
+    - type: mrr_at_1
+      value: 34.459
+    - type: mrr_at_10
+      value: 42.836
+    - type: mrr_at_100
+      value: 43.54
+    - type: mrr_at_1000
+      value: 43.589
+    - type: mrr_at_3
+      value: 40.754000000000005
+    - type: mrr_at_5
+      value: 41.849
+    - type: ndcg_at_1
+      value: 34.459
+    - type: ndcg_at_10
+      value: 42.268
+    - type: ndcg_at_100
+      value: 46.527
+    - type: ndcg_at_1000
+      value: 48.667
+    - type: ndcg_at_3
+      value: 38.408
+    - type: ndcg_at_5
+      value: 39.889
+    - type: precision_at_1
+      value: 34.459
+    - type: precision_at_10
+      value: 8
+    - type: precision_at_100
+      value: 1.269
+    - type: precision_at_1000
+      value: 0.174
+    - type: precision_at_3
+      value: 18.705
+    - type: precision_at_5
+      value: 13.083
+    - type: recall_at_1
+      value: 26.905
+    - type: recall_at_10
+      value: 52.378
+    - type: recall_at_100
+      value: 70.419
+    - type: recall_at_1000
+      value: 84.165
+    - type: recall_at_3
+      value: 40.467999999999996
+    - type: recall_at_5
+      value: 44.911
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 34.475
+    - type: map_at_10
+      value: 45.221000000000004
+    - type: map_at_100
+      value: 46.215
+    - type: map_at_1000
+      value: 46.276
+    - type: map_at_3
+      value: 42.487
+    - type: map_at_5
+      value: 43.948
+    - type: mrr_at_1
+      value: 38.871
+    - type: mrr_at_10
+      value: 48.521
+    - type: mrr_at_100
+      value: 49.172
+    - type: mrr_at_1000
+      value: 49.207
+    - type: mrr_at_3
+      value: 46.123
+    - type: mrr_at_5
+      value: 47.452
+    - type: ndcg_at_1
+      value: 38.871
+    - type: ndcg_at_10
+      value: 50.739999999999995
+    - type: ndcg_at_100
+      value: 54.849000000000004
+    - type: ndcg_at_1000
+      value: 56.3
+    - type: ndcg_at_3
+      value: 45.762
+    - type: ndcg_at_5
+      value: 48.03
+    - type: precision_at_1
+      value: 38.871
+    - type: precision_at_10
+      value: 8.107000000000001
+    - type: precision_at_100
+      value: 1.11
+    - type: precision_at_1000
+      value: 0.129
+    - type: precision_at_3
+      value: 20.209
+    - type: precision_at_5
+      value: 13.767999999999999
+    - type: recall_at_1
+      value: 34.475
+    - type: recall_at_10
+      value: 63.82299999999999
+    - type: recall_at_100
+      value: 81.761
+    - type: recall_at_1000
+      value: 92.604
+    - type: recall_at_3
+      value: 50.331
+    - type: recall_at_5
+      value: 56.003
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.689
+    - type: map_at_10
+      value: 28.363
+    - type: map_at_100
+      value: 29.324
+    - type: map_at_1000
+      value: 29.416999999999998
+    - type: map_at_3
+      value: 26.064
+    - type: map_at_5
+      value: 27.423
+    - type: mrr_at_1
+      value: 22.938
+    - type: mrr_at_10
+      value: 29.786
+    - type: mrr_at_100
+      value: 30.688
+    - type: mrr_at_1000
+      value: 30.763
+    - type: mrr_at_3
+      value: 27.533
+    - type: mrr_at_5
+      value: 28.860999999999997
+    - type: ndcg_at_1
+      value: 22.938
+    - type: ndcg_at_10
+      value: 32.461
+    - type: ndcg_at_100
+      value: 37.492
+    - type: ndcg_at_1000
+      value: 39.925
+    - type: ndcg_at_3
+      value: 27.916
+    - type: ndcg_at_5
+      value: 30.287
+    - type: precision_at_1
+      value: 22.938
+    - type: precision_at_10
+      value: 4.96
+    - type: precision_at_100
+      value: 0.7929999999999999
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 11.676
+    - type: precision_at_5
+      value: 8.339
+    - type: recall_at_1
+      value: 21.689
+    - type: recall_at_10
+      value: 43.702000000000005
+    - type: recall_at_100
+      value: 67.23400000000001
+    - type: recall_at_1000
+      value: 85.688
+    - type: recall_at_3
+      value: 31.526
+    - type: recall_at_5
+      value: 37.262
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.094000000000001
+    - type: map_at_10
+      value: 21.310000000000002
+    - type: map_at_100
+      value: 22.427
+    - type: map_at_1000
+      value: 22.545
+    - type: map_at_3
+      value: 18.83
+    - type: map_at_5
+      value: 20.225
+    - type: mrr_at_1
+      value: 17.413
+    - type: mrr_at_10
+      value: 25.430000000000003
+    - type: mrr_at_100
+      value: 26.418000000000003
+    - type: mrr_at_1000
+      value: 26.494
+    - type: mrr_at_3
+      value: 22.989
+    - type: mrr_at_5
+      value: 24.388
+    - type: ndcg_at_1
+      value: 17.413
+    - type: ndcg_at_10
+      value: 26.223000000000003
+    - type: ndcg_at_100
+      value: 31.838
+    - type: ndcg_at_1000
+      value: 34.678
+    - type: ndcg_at_3
+      value: 21.677
+    - type: ndcg_at_5
+      value: 23.838
+    - type: precision_at_1
+      value: 17.413
+    - type: precision_at_10
+      value: 4.9750000000000005
+    - type: precision_at_100
+      value: 0.8999999999999999
+    - type: precision_at_1000
+      value: 0.128
+    - type: precision_at_3
+      value: 10.697
+    - type: precision_at_5
+      value: 7.91
+    - type: recall_at_1
+      value: 14.094000000000001
+    - type: recall_at_10
+      value: 37.230999999999995
+    - type: recall_at_100
+      value: 62.062
+    - type: recall_at_1000
+      value: 82.204
+    - type: recall_at_3
+      value: 24.766
+    - type: recall_at_5
+      value: 30.173
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.256999999999998
+    - type: map_at_10
+      value: 36.869
+    - type: map_at_100
+      value: 38.145
+    - type: map_at_1000
+      value: 38.255
+    - type: map_at_3
+      value: 34.161
+    - type: map_at_5
+      value: 35.504000000000005
+    - type: mrr_at_1
+      value: 32.531
+    - type: mrr_at_10
+      value: 41.957
+    - type: mrr_at_100
+      value: 42.766
+    - type: mrr_at_1000
+      value: 42.815999999999995
+    - type: mrr_at_3
+      value: 39.589
+    - type: mrr_at_5
+      value: 40.749
+    - type: ndcg_at_1
+      value: 32.531
+    - type: ndcg_at_10
+      value: 42.54
+    - type: ndcg_at_100
+      value: 47.948
+    - type: ndcg_at_1000
+      value: 50.056999999999995
+    - type: ndcg_at_3
+      value: 37.775999999999996
+    - type: ndcg_at_5
+      value: 39.667
+    - type: precision_at_1
+      value: 32.531
+    - type: precision_at_10
+      value: 7.7
+    - type: precision_at_100
+      value: 1.213
+    - type: precision_at_1000
+      value: 0.154
+    - type: precision_at_3
+      value: 17.806
+    - type: precision_at_5
+      value: 12.493
+    - type: recall_at_1
+      value: 27.256999999999998
+    - type: recall_at_10
+      value: 54.217999999999996
+    - type: recall_at_100
+      value: 76.98
+    - type: recall_at_1000
+      value: 90.913
+    - type: recall_at_3
+      value: 41.144999999999996
+    - type: recall_at_5
+      value: 45.674
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.249
+    - type: map_at_10
+      value: 32.278
+    - type: map_at_100
+      value: 33.585
+    - type: map_at_1000
+      value: 33.69
+    - type: map_at_3
+      value: 29.776000000000003
+    - type: map_at_5
+      value: 31.096
+    - type: mrr_at_1
+      value: 28.425
+    - type: mrr_at_10
+      value: 37.124
+    - type: mrr_at_100
+      value: 38.053
+    - type: mrr_at_1000
+      value: 38.111
+    - type: mrr_at_3
+      value: 34.989
+    - type: mrr_at_5
+      value: 36.159
+    - type: ndcg_at_1
+      value: 28.425
+    - type: ndcg_at_10
+      value: 37.472
+    - type: ndcg_at_100
+      value: 43.261
+    - type: ndcg_at_1000
+      value: 45.540000000000006
+    - type: ndcg_at_3
+      value: 33.334
+    - type: ndcg_at_5
+      value: 35.082
+    - type: precision_at_1
+      value: 28.425
+    - type: precision_at_10
+      value: 6.758
+    - type: precision_at_100
+      value: 1.15
+    - type: precision_at_1000
+      value: 0.151
+    - type: precision_at_3
+      value: 16.058
+    - type: precision_at_5
+      value: 11.164
+    - type: recall_at_1
+      value: 23.249
+    - type: recall_at_10
+      value: 48.094
+    - type: recall_at_100
+      value: 72.988
+    - type: recall_at_1000
+      value: 88.625
+    - type: recall_at_3
+      value: 36.342999999999996
+    - type: recall_at_5
+      value: 41.187000000000005
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.019250000000003
+    - type: map_at_10
+      value: 30.98783333333333
+    - type: map_at_100
+      value: 32.07916666666667
+    - type: map_at_1000
+      value: 32.193333333333335
+    - type: map_at_3
+      value: 28.572916666666664
+    - type: map_at_5
+      value: 29.886083333333335
+    - type: mrr_at_1
+      value: 27.01383333333333
+    - type: mrr_at_10
+      value: 34.78475
+    - type: mrr_at_100
+      value: 35.628416666666666
+    - type: mrr_at_1000
+      value: 35.696250000000006
+    - type: mrr_at_3
+      value: 32.63225
+    - type: mrr_at_5
+      value: 33.8265
+    - type: ndcg_at_1
+      value: 27.01383333333333
+    - type: ndcg_at_10
+      value: 35.75991666666666
+    - type: ndcg_at_100
+      value: 40.696416666666664
+    - type: ndcg_at_1000
+      value: 43.18933333333333
+    - type: ndcg_at_3
+      value: 31.56075
+    - type: ndcg_at_5
+      value: 33.47166666666667
+    - type: precision_at_1
+      value: 27.01383333333333
+    - type: precision_at_10
+      value: 6.201416666666667
+    - type: precision_at_100
+      value: 1.0189166666666667
+    - type: precision_at_1000
+      value: 0.13999999999999999
+    - type: precision_at_3
+      value: 14.448249999999998
+    - type: precision_at_5
+      value: 10.209333333333333
+    - type: recall_at_1
+      value: 23.019250000000003
+    - type: recall_at_10
+      value: 46.17675
+    - type: recall_at_100
+      value: 68.06741666666667
+    - type: recall_at_1000
+      value: 85.66791666666667
+    - type: recall_at_3
+      value: 34.435500000000005
+    - type: recall_at_5
+      value: 39.362
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.754
+    - type: map_at_10
+      value: 27.815
+    - type: map_at_100
+      value: 28.776000000000003
+    - type: map_at_1000
+      value: 28.874
+    - type: map_at_3
+      value: 25.822
+    - type: map_at_5
+      value: 26.562
+    - type: mrr_at_1
+      value: 23.926
+    - type: mrr_at_10
+      value: 30.148000000000003
+    - type: mrr_at_100
+      value: 31.035
+    - type: mrr_at_1000
+      value: 31.116
+    - type: mrr_at_3
+      value: 28.349000000000004
+    - type: mrr_at_5
+      value: 29.108
+    - type: ndcg_at_1
+      value: 23.926
+    - type: ndcg_at_10
+      value: 31.635
+    - type: ndcg_at_100
+      value: 36.457
+    - type: ndcg_at_1000
+      value: 38.944
+    - type: ndcg_at_3
+      value: 27.857
+    - type: ndcg_at_5
+      value: 29.017
+    - type: precision_at_1
+      value: 23.926
+    - type: precision_at_10
+      value: 4.984999999999999
+    - type: precision_at_100
+      value: 0.8019999999999999
+    - type: precision_at_1000
+      value: 0.108
+    - type: precision_at_3
+      value: 11.759
+    - type: precision_at_5
+      value: 7.914000000000001
+    - type: recall_at_1
+      value: 21.754
+    - type: recall_at_10
+      value: 41.117
+    - type: recall_at_100
+      value: 63.123
+    - type: recall_at_1000
+      value: 81.399
+    - type: recall_at_3
+      value: 30.556
+    - type: recall_at_5
+      value: 33.571
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.204999999999998
+    - type: map_at_10
+      value: 21.166
+    - type: map_at_100
+      value: 22.127
+    - type: map_at_1000
+      value: 22.239
+    - type: map_at_3
+      value: 19.342000000000002
+    - type: map_at_5
+      value: 20.329
+    - type: mrr_at_1
+      value: 18.340999999999998
+    - type: mrr_at_10
+      value: 24.562
+    - type: mrr_at_100
+      value: 25.462
+    - type: mrr_at_1000
+      value: 25.541000000000004
+    - type: mrr_at_3
+      value: 22.694
+    - type: mrr_at_5
+      value: 23.694000000000003
+    - type: ndcg_at_1
+      value: 18.340999999999998
+    - type: ndcg_at_10
+      value: 25.055
+    - type: ndcg_at_100
+      value: 29.82
+    - type: ndcg_at_1000
+      value: 32.68
+    - type: ndcg_at_3
+      value: 21.676000000000002
+    - type: ndcg_at_5
+      value: 23.153000000000002
+    - type: precision_at_1
+      value: 18.340999999999998
+    - type: precision_at_10
+      value: 4.425
+    - type: precision_at_100
+      value: 0.779
+    - type: precision_at_1000
+      value: 0.117
+    - type: precision_at_3
+      value: 10.106
+    - type: precision_at_5
+      value: 7.199
+    - type: recall_at_1
+      value: 15.204999999999998
+    - type: recall_at_10
+      value: 33.542
+    - type: recall_at_100
+      value: 55.093
+    - type: recall_at_1000
+      value: 75.64699999999999
+    - type: recall_at_3
+      value: 23.892
+    - type: recall_at_5
+      value: 27.789
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.714
+    - type: map_at_10
+      value: 30.636000000000003
+    - type: map_at_100
+      value: 31.653
+    - type: map_at_1000
+      value: 31.762
+    - type: map_at_3
+      value: 28.51
+    - type: map_at_5
+      value: 29.715999999999998
+    - type: mrr_at_1
+      value: 27.612
+    - type: mrr_at_10
+      value: 34.269
+    - type: mrr_at_100
+      value: 35.149
+    - type: mrr_at_1000
+      value: 35.225
+    - type: mrr_at_3
+      value: 32.338
+    - type: mrr_at_5
+      value: 33.341
+    - type: ndcg_at_1
+      value: 27.612
+    - type: ndcg_at_10
+      value: 34.854
+    - type: ndcg_at_100
+      value: 39.800999999999995
+    - type: ndcg_at_1000
+      value: 42.400999999999996
+    - type: ndcg_at_3
+      value: 31.005
+    - type: ndcg_at_5
+      value: 32.727000000000004
+    - type: precision_at_1
+      value: 27.612
+    - type: precision_at_10
+      value: 5.578
+    - type: precision_at_100
+      value: 0.907
+    - type: precision_at_1000
+      value: 0.124
+    - type: precision_at_3
+      value: 13.619
+    - type: precision_at_5
+      value: 9.403
+    - type: recall_at_1
+      value: 23.714
+    - type: recall_at_10
+      value: 44.262
+    - type: recall_at_100
+      value: 66.079
+    - type: recall_at_1000
+      value: 84.405
+    - type: recall_at_3
+      value: 33.547
+    - type: recall_at_5
+      value: 37.951
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.838
+    - type: map_at_10
+      value: 31.244
+    - type: map_at_100
+      value: 32.469
+    - type: map_at_1000
+      value: 32.679
+    - type: map_at_3
+      value: 28.644
+    - type: map_at_5
+      value: 30.179000000000002
+    - type: mrr_at_1
+      value: 27.075
+    - type: mrr_at_10
+      value: 35.039
+    - type: mrr_at_100
+      value: 35.909
+    - type: mrr_at_1000
+      value: 35.99
+    - type: mrr_at_3
+      value: 33.004
+    - type: mrr_at_5
+      value: 34.397
+    - type: ndcg_at_1
+      value: 27.075
+    - type: ndcg_at_10
+      value: 36.319
+    - type: ndcg_at_100
+      value: 41.066
+    - type: ndcg_at_1000
+      value: 44.272
+    - type: ndcg_at_3
+      value: 32.361000000000004
+    - type: ndcg_at_5
+      value: 34.544999999999995
+    - type: precision_at_1
+      value: 27.075
+    - type: precision_at_10
+      value: 6.957000000000001
+    - type: precision_at_100
+      value: 1.346
+    - type: precision_at_1000
+      value: 0.215
+    - type: precision_at_3
+      value: 15.217
+    - type: precision_at_5
+      value: 11.304
+    - type: recall_at_1
+      value: 22.838
+    - type: recall_at_10
+      value: 45.737
+    - type: recall_at_100
+      value: 67.723
+    - type: recall_at_1000
+      value: 89.293
+    - type: recall_at_3
+      value: 34.666999999999994
+    - type: recall_at_5
+      value: 40.208
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.135
+    - type: map_at_10
+      value: 24.163
+    - type: map_at_100
+      value: 25.009999999999998
+    - type: map_at_1000
+      value: 25.127
+    - type: map_at_3
+      value: 22.211
+    - type: map_at_5
+      value: 23.32
+    - type: mrr_at_1
+      value: 18.669
+    - type: mrr_at_10
+      value: 25.913000000000004
+    - type: mrr_at_100
+      value: 26.682
+    - type: mrr_at_1000
+      value: 26.783
+    - type: mrr_at_3
+      value: 24.122
+    - type: mrr_at_5
+      value: 25.157
+    - type: ndcg_at_1
+      value: 18.669
+    - type: ndcg_at_10
+      value: 28.038
+    - type: ndcg_at_100
+      value: 32.443
+    - type: ndcg_at_1000
+      value: 35.609
+    - type: ndcg_at_3
+      value: 24.291
+    - type: ndcg_at_5
+      value: 26.144000000000002
+    - type: precision_at_1
+      value: 18.669
+    - type: precision_at_10
+      value: 4.417999999999999
+    - type: precision_at_100
+      value: 0.719
+    - type: precision_at_1000
+      value: 0.108
+    - type: precision_at_3
+      value: 10.598
+    - type: precision_at_5
+      value: 7.431
+    - type: recall_at_1
+      value: 17.135
+    - type: recall_at_10
+      value: 38.232
+    - type: recall_at_100
+      value: 58.781000000000006
+    - type: recall_at_1000
+      value: 82.98
+    - type: recall_at_3
+      value: 28.067999999999998
+    - type: recall_at_5
+      value: 32.696
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.318
+    - type: map_at_10
+      value: 20.830000000000002
+    - type: map_at_100
+      value: 22.948
+    - type: map_at_1000
+      value: 23.138
+    - type: map_at_3
+      value: 17.022000000000002
+    - type: map_at_5
+      value: 18.921
+    - type: mrr_at_1
+      value: 25.602999999999998
+    - type: mrr_at_10
+      value: 38.513999999999996
+    - type: mrr_at_100
+      value: 39.467
+    - type: mrr_at_1000
+      value: 39.503
+    - type: mrr_at_3
+      value: 34.766999999999996
+    - type: mrr_at_5
+      value: 37.024
+    - type: ndcg_at_1
+      value: 25.602999999999998
+    - type: ndcg_at_10
+      value: 29.609999999999996
+    - type: ndcg_at_100
+      value: 37.525999999999996
+    - type: ndcg_at_1000
+      value: 40.68
+    - type: ndcg_at_3
+      value: 23.552999999999997
+    - type: ndcg_at_5
+      value: 25.747999999999998
+    - type: precision_at_1
+      value: 25.602999999999998
+    - type: precision_at_10
+      value: 9.569999999999999
+    - type: precision_at_100
+      value: 1.798
+    - type: precision_at_1000
+      value: 0.23900000000000002
+    - type: precision_at_3
+      value: 17.785
+    - type: precision_at_5
+      value: 14.033000000000001
+    - type: recall_at_1
+      value: 11.318
+    - type: recall_at_10
+      value: 36.605
+    - type: recall_at_100
+      value: 63.666
+    - type: recall_at_1000
+      value: 80.97
+    - type: recall_at_3
+      value: 22.161
+    - type: recall_at_5
+      value: 27.99
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.318
+    - type: map_at_10
+      value: 18.602
+    - type: map_at_100
+      value: 26.378
+    - type: map_at_1000
+      value: 28.149
+    - type: map_at_3
+      value: 13.36
+    - type: map_at_5
+      value: 15.482999999999999
+    - type: mrr_at_1
+      value: 66.75
+    - type: mrr_at_10
+      value: 74.47
+    - type: mrr_at_100
+      value: 74.816
+    - type: mrr_at_1000
+      value: 74.823
+    - type: mrr_at_3
+      value: 73.208
+    - type: mrr_at_5
+      value: 73.871
+    - type: ndcg_at_1
+      value: 53.87499999999999
+    - type: ndcg_at_10
+      value: 40.511
+    - type: ndcg_at_100
+      value: 44.973
+    - type: ndcg_at_1000
+      value: 52.33
+    - type: ndcg_at_3
+      value: 44.896
+    - type: ndcg_at_5
+      value: 42.137
+    - type: precision_at_1
+      value: 66.75
+    - type: precision_at_10
+      value: 32.225
+    - type: precision_at_100
+      value: 10.543
+    - type: precision_at_1000
+      value: 2.251
+    - type: precision_at_3
+      value: 48.5
+    - type: precision_at_5
+      value: 40.849999999999994
+    - type: recall_at_1
+      value: 8.318
+    - type: recall_at_10
+      value: 24.163
+    - type: recall_at_100
+      value: 50.824999999999996
+    - type: recall_at_1000
+      value: 73.623
+    - type: recall_at_3
+      value: 14.863999999999999
+    - type: recall_at_5
+      value: 18.052
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 64.228
+    - type: map_at_10
+      value: 75.004
+    - type: map_at_100
+      value: 75.25500000000001
+    - type: map_at_1000
+      value: 75.268
+    - type: map_at_3
+      value: 73.295
+    - type: map_at_5
+      value: 74.401
+    - type: mrr_at_1
+      value: 69.06700000000001
+    - type: mrr_at_10
+      value: 79.477
+    - type: mrr_at_100
+      value: 79.629
+    - type: mrr_at_1000
+      value: 79.631
+    - type: mrr_at_3
+      value: 77.985
+    - type: mrr_at_5
+      value: 79.00500000000001
+    - type: ndcg_at_1
+      value: 69.06700000000001
+    - type: ndcg_at_10
+      value: 80.138
+    - type: ndcg_at_100
+      value: 81.143
+    - type: ndcg_at_1000
+      value: 81.37299999999999
+    - type: ndcg_at_3
+      value: 77.074
+    - type: ndcg_at_5
+      value: 78.873
+    - type: precision_at_1
+      value: 69.06700000000001
+    - type: precision_at_10
+      value: 10.05
+    - type: precision_at_100
+      value: 1.072
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 30.188
+    - type: precision_at_5
+      value: 19.157
+    - type: recall_at_1
+      value: 64.228
+    - type: recall_at_10
+      value: 91.5
+    - type: recall_at_100
+      value: 95.69800000000001
+    - type: recall_at_1000
+      value: 97.16900000000001
+    - type: recall_at_3
+      value: 83.26599999999999
+    - type: recall_at_5
+      value: 87.744
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.61
+    - type: map_at_10
+      value: 33.507
+    - type: map_at_100
+      value: 35.33
+    - type: map_at_1000
+      value: 35.489
+    - type: map_at_3
+      value: 29.345
+    - type: map_at_5
+      value: 31.834
+    - type: mrr_at_1
+      value: 40.278000000000006
+    - type: mrr_at_10
+      value: 49.212
+    - type: mrr_at_100
+      value: 50.124
+    - type: mrr_at_1000
+      value: 50.153999999999996
+    - type: mrr_at_3
+      value: 46.991
+    - type: mrr_at_5
+      value: 48.449
+    - type: ndcg_at_1
+      value: 40.278000000000006
+    - type: ndcg_at_10
+      value: 41.08
+    - type: ndcg_at_100
+      value: 47.865
+    - type: ndcg_at_1000
+      value: 50.566
+    - type: ndcg_at_3
+      value: 37.855
+    - type: ndcg_at_5
+      value: 39.24
+    - type: precision_at_1
+      value: 40.278000000000006
+    - type: precision_at_10
+      value: 11.126999999999999
+    - type: precision_at_100
+      value: 1.81
+    - type: precision_at_1000
+      value: 0.22899999999999998
+    - type: precision_at_3
+      value: 25
+    - type: precision_at_5
+      value: 18.457
+    - type: recall_at_1
+      value: 20.61
+    - type: recall_at_10
+      value: 47.3
+    - type: recall_at_100
+      value: 72.129
+    - type: recall_at_1000
+      value: 88.25
+    - type: recall_at_3
+      value: 34.307
+    - type: recall_at_5
+      value: 41.182
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 37.873000000000005
+    - type: map_at_10
+      value: 54.013
+    - type: map_at_100
+      value: 54.89000000000001
+    - type: map_at_1000
+      value: 54.959
+    - type: map_at_3
+      value: 51.185
+    - type: map_at_5
+      value: 52.933
+    - type: mrr_at_1
+      value: 75.74600000000001
+    - type: mrr_at_10
+      value: 81.599
+    - type: mrr_at_100
+      value: 81.833
+    - type: mrr_at_1000
+      value: 81.842
+    - type: mrr_at_3
+      value: 80.673
+    - type: mrr_at_5
+      value: 81.242
+    - type: ndcg_at_1
+      value: 75.74600000000001
+    - type: ndcg_at_10
+      value: 63.187000000000005
+    - type: ndcg_at_100
+      value: 66.345
+    - type: ndcg_at_1000
+      value: 67.77300000000001
+    - type: ndcg_at_3
+      value: 59.096000000000004
+    - type: ndcg_at_5
+      value: 61.332
+    - type: precision_at_1
+      value: 75.74600000000001
+    - type: precision_at_10
+      value: 12.848
+    - type: precision_at_100
+      value: 1.533
+    - type: precision_at_1000
+      value: 0.172
+    - type: precision_at_3
+      value: 36.786
+    - type: precision_at_5
+      value: 23.835
+    - type: recall_at_1
+      value: 37.873000000000005
+    - type: recall_at_10
+      value: 64.24
+    - type: recall_at_100
+      value: 76.651
+    - type: recall_at_1000
+      value: 86.212
+    - type: recall_at_3
+      value: 55.179
+    - type: recall_at_5
+      value: 59.587999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.108
+    - type: map_at_10
+      value: 35.607
+    - type: map_at_100
+      value: 36.769
+    - type: map_at_1000
+      value: 36.815
+    - type: map_at_3
+      value: 31.576999999999998
+    - type: map_at_5
+      value: 33.939
+    - type: mrr_at_1
+      value: 23.768
+    - type: mrr_at_10
+      value: 36.203
+    - type: mrr_at_100
+      value: 37.299
+    - type: mrr_at_1000
+      value: 37.339
+    - type: mrr_at_3
+      value: 32.245000000000005
+    - type: mrr_at_5
+      value: 34.575
+    - type: ndcg_at_1
+      value: 23.768
+    - type: ndcg_at_10
+      value: 42.724000000000004
+    - type: ndcg_at_100
+      value: 48.241
+    - type: ndcg_at_1000
+      value: 49.346000000000004
+    - type: ndcg_at_3
+      value: 34.528
+    - type: ndcg_at_5
+      value: 38.746
+    - type: precision_at_1
+      value: 23.768
+    - type: precision_at_10
+      value: 6.755999999999999
+    - type: precision_at_100
+      value: 0.9520000000000001
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_3
+      value: 14.666
+    - type: precision_at_5
+      value: 10.923
+    - type: recall_at_1
+      value: 23.108
+    - type: recall_at_10
+      value: 64.676
+    - type: recall_at_100
+      value: 90.033
+    - type: recall_at_1000
+      value: 98.394
+    - type: recall_at_3
+      value: 42.421
+    - type: recall_at_5
+      value: 52.569
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.898
+    - type: map_at_10
+      value: 14.115
+    - type: map_at_100
+      value: 17.868000000000002
+    - type: map_at_1000
+      value: 19.425
+    - type: map_at_3
+      value: 10.385
+    - type: map_at_5
+      value: 12.064
+    - type: mrr_at_1
+      value: 50.464
+    - type: mrr_at_10
+      value: 59.265
+    - type: mrr_at_100
+      value: 59.63
+    - type: mrr_at_1000
+      value: 59.673
+    - type: mrr_at_3
+      value: 56.96600000000001
+    - type: mrr_at_5
+      value: 58.282000000000004
+    - type: ndcg_at_1
+      value: 48.452
+    - type: ndcg_at_10
+      value: 37.819
+    - type: ndcg_at_100
+      value: 34.421
+    - type: ndcg_at_1000
+      value: 43.275999999999996
+    - type: ndcg_at_3
+      value: 44.037
+    - type: ndcg_at_5
+      value: 41.272
+    - type: precision_at_1
+      value: 50.15500000000001
+    - type: precision_at_10
+      value: 28.142
+    - type: precision_at_100
+      value: 8.780000000000001
+    - type: precision_at_1000
+      value: 2.185
+    - type: precision_at_3
+      value: 41.382999999999996
+    - type: precision_at_5
+      value: 35.975
+    - type: recall_at_1
+      value: 5.898
+    - type: recall_at_10
+      value: 18.584999999999997
+    - type: recall_at_100
+      value: 34.660000000000004
+    - type: recall_at_1000
+      value: 67.361
+    - type: recall_at_3
+      value: 11.774999999999999
+    - type: recall_at_5
+      value: 14.438999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.976
+    - type: map_at_10
+      value: 48.672
+    - type: map_at_100
+      value: 49.622
+    - type: map_at_1000
+      value: 49.647999999999996
+    - type: map_at_3
+      value: 44.389
+    - type: map_at_5
+      value: 46.942
+    - type: mrr_at_1
+      value: 36.876999999999995
+    - type: mrr_at_10
+      value: 51.123
+    - type: mrr_at_100
+      value: 51.82299999999999
+    - type: mrr_at_1000
+      value: 51.839999999999996
+    - type: mrr_at_3
+      value: 47.658
+    - type: mrr_at_5
+      value: 49.756
+    - type: ndcg_at_1
+      value: 36.848
+    - type: ndcg_at_10
+      value: 56.389
+    - type: ndcg_at_100
+      value: 60.31100000000001
+    - type: ndcg_at_1000
+      value: 60.895999999999994
+    - type: ndcg_at_3
+      value: 48.469
+    - type: ndcg_at_5
+      value: 52.672
+    - type: precision_at_1
+      value: 36.848
+    - type: precision_at_10
+      value: 9.215
+    - type: precision_at_100
+      value: 1.141
+    - type: precision_at_1000
+      value: 0.12
+    - type: precision_at_3
+      value: 21.997
+    - type: precision_at_5
+      value: 15.672
+    - type: recall_at_1
+      value: 32.976
+    - type: recall_at_10
+      value: 77.301
+    - type: recall_at_100
+      value: 94.15299999999999
+    - type: recall_at_1000
+      value: 98.44500000000001
+    - type: recall_at_3
+      value: 56.979
+    - type: recall_at_5
+      value: 66.621
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 70.53399999999999
+    - type: map_at_10
+      value: 84.248
+    - type: map_at_100
+      value: 84.887
+    - type: map_at_1000
+      value: 84.905
+    - type: map_at_3
+      value: 81.32000000000001
+    - type: map_at_5
+      value: 83.159
+    - type: mrr_at_1
+      value: 81.03
+    - type: mrr_at_10
+      value: 87.35199999999999
+    - type: mrr_at_100
+      value: 87.444
+    - type: mrr_at_1000
+      value: 87.445
+    - type: mrr_at_3
+      value: 86.343
+    - type: mrr_at_5
+      value: 87.04499999999999
+    - type: ndcg_at_1
+      value: 81.06
+    - type: ndcg_at_10
+      value: 88.102
+    - type: ndcg_at_100
+      value: 89.32
+    - type: ndcg_at_1000
+      value: 89.434
+    - type: ndcg_at_3
+      value: 85.19
+    - type: ndcg_at_5
+      value: 86.824
+    - type: precision_at_1
+      value: 81.06
+    - type: precision_at_10
+      value: 13.327
+    - type: precision_at_100
+      value: 1.526
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 37.169999999999995
+    - type: precision_at_5
+      value: 24.462
+    - type: recall_at_1
+      value: 70.53399999999999
+    - type: recall_at_10
+      value: 95.383
+    - type: recall_at_100
+      value: 99.494
+    - type: recall_at_1000
+      value: 99.985
+    - type: recall_at_3
+      value: 87.031
+    - type: recall_at_5
+      value: 91.623
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.3180000000000005
+    - type: map_at_10
+      value: 10.237
+    - type: map_at_100
+      value: 11.879000000000001
+    - type: map_at_1000
+      value: 12.124
+    - type: map_at_3
+      value: 7.617999999999999
+    - type: map_at_5
+      value: 8.883000000000001
+    - type: mrr_at_1
+      value: 21.2
+    - type: mrr_at_10
+      value: 31.016
+    - type: mrr_at_100
+      value: 32.062000000000005
+    - type: mrr_at_1000
+      value: 32.128
+    - type: mrr_at_3
+      value: 28.016999999999996
+    - type: mrr_at_5
+      value: 29.607
+    - type: ndcg_at_1
+      value: 21.2
+    - type: ndcg_at_10
+      value: 17.485
+    - type: ndcg_at_100
+      value: 24.162
+    - type: ndcg_at_1000
+      value: 28.825
+    - type: ndcg_at_3
+      value: 17.024
+    - type: ndcg_at_5
+      value: 14.594
+    - type: precision_at_1
+      value: 21.2
+    - type: precision_at_10
+      value: 8.92
+    - type: precision_at_100
+      value: 1.854
+    - type: precision_at_1000
+      value: 0.297
+    - type: precision_at_3
+      value: 15.8
+    - type: precision_at_5
+      value: 12.58
+    - type: recall_at_1
+      value: 4.3180000000000005
+    - type: recall_at_10
+      value: 18.12
+    - type: recall_at_100
+      value: 37.628
+    - type: recall_at_1000
+      value: 60.324999999999996
+    - type: recall_at_3
+      value: 9.622
+    - type: recall_at_5
+      value: 12.772
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 57.05
+    - type: map_at_10
+      value: 67.352
+    - type: map_at_100
+      value: 67.919
+    - type: map_at_1000
+      value: 67.944
+    - type: map_at_3
+      value: 64.78699999999999
+    - type: map_at_5
+      value: 66.216
+    - type: mrr_at_1
+      value: 60
+    - type: mrr_at_10
+      value: 68.535
+    - type: mrr_at_100
+      value: 68.988
+    - type: mrr_at_1000
+      value: 69.01
+    - type: mrr_at_3
+      value: 66.667
+    - type: mrr_at_5
+      value: 67.717
+    - type: ndcg_at_1
+      value: 60
+    - type: ndcg_at_10
+      value: 71.628
+    - type: ndcg_at_100
+      value: 74.076
+    - type: ndcg_at_1000
+      value: 74.717
+    - type: ndcg_at_3
+      value: 67.51
+    - type: ndcg_at_5
+      value: 69.393
+    - type: precision_at_1
+      value: 60
+    - type: precision_at_10
+      value: 9.433
+    - type: precision_at_100
+      value: 1.0699999999999998
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 26.444000000000003
+    - type: precision_at_5
+      value: 17.2
+    - type: recall_at_1
+      value: 57.05
+    - type: recall_at_10
+      value: 83.289
+    - type: recall_at_100
+      value: 94.267
+    - type: recall_at_1000
+      value: 99.333
+    - type: recall_at_3
+      value: 72.35000000000001
+    - type: recall_at_5
+      value: 77
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.242
+    - type: map_at_10
+      value: 2.153
+    - type: map_at_100
+      value: 13.045000000000002
+    - type: map_at_1000
+      value: 31.039
+    - type: map_at_3
+      value: 0.709
+    - type: map_at_5
+      value: 1.138
+    - type: mrr_at_1
+      value: 94
+    - type: mrr_at_10
+      value: 95.65
+    - type: mrr_at_100
+      value: 95.65
+    - type: mrr_at_1000
+      value: 95.65
+    - type: mrr_at_3
+      value: 95
+    - type: mrr_at_5
+      value: 95.39999999999999
+    - type: ndcg_at_1
+      value: 89
+    - type: ndcg_at_10
+      value: 83.39999999999999
+    - type: ndcg_at_100
+      value: 64.116
+    - type: ndcg_at_1000
+      value: 56.501000000000005
+    - type: ndcg_at_3
+      value: 88.061
+    - type: ndcg_at_5
+      value: 86.703
+    - type: precision_at_1
+      value: 94
+    - type: precision_at_10
+      value: 87.4
+    - type: precision_at_100
+      value: 65.58
+    - type: precision_at_1000
+      value: 25.113999999999997
+    - type: precision_at_3
+      value: 91.333
+    - type: precision_at_5
+      value: 90
+    - type: recall_at_1
+      value: 0.242
+    - type: recall_at_10
+      value: 2.267
+    - type: recall_at_100
+      value: 15.775
+    - type: recall_at_1000
+      value: 53.152
+    - type: recall_at_3
+      value: 0.721
+    - type: recall_at_5
+      value: 1.172
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.4619999999999997
+    - type: map_at_10
+      value: 10.086
+    - type: map_at_100
+      value: 16.265
+    - type: map_at_1000
+      value: 17.846
+    - type: map_at_3
+      value: 4.603
+    - type: map_at_5
+      value: 6.517
+    - type: mrr_at_1
+      value: 26.531
+    - type: mrr_at_10
+      value: 43.608000000000004
+    - type: mrr_at_100
+      value: 44.175
+    - type: mrr_at_1000
+      value: 44.190000000000005
+    - type: mrr_at_3
+      value: 37.755
+    - type: mrr_at_5
+      value: 41.531
+    - type: ndcg_at_1
+      value: 25.509999999999998
+    - type: ndcg_at_10
+      value: 25.663999999999998
+    - type: ndcg_at_100
+      value: 37.362
+    - type: ndcg_at_1000
+      value: 48.817
+    - type: ndcg_at_3
+      value: 23.223
+    - type: ndcg_at_5
+      value: 24.403
+    - type: precision_at_1
+      value: 26.531
+    - type: precision_at_10
+      value: 24.694
+    - type: precision_at_100
+      value: 7.776
+    - type: precision_at_1000
+      value: 1.541
+    - type: precision_at_3
+      value: 23.810000000000002
+    - type: precision_at_5
+      value: 25.306
+    - type: recall_at_1
+      value: 2.4619999999999997
+    - type: recall_at_10
+      value: 17.712
+    - type: recall_at_100
+      value: 48.232
+    - type: recall_at_1000
+      value: 83.348
+    - type: recall_at_3
+      value: 5.763
+    - type: recall_at_5
+      value: 9.577
+datasets:
+- Tevatron/msmarco-passage-corpus
+- Tevatron/msmarco-passage
+language:
+- en
+library_name: sentence-transformers
+pipeline_tag: sentence-similarity
+---
+
+# Phi2 Model Trained for retrieval task using MSMarco Dataset
+### Trained for 1 epoch using the tevatron library
+
+#### Ongoing work