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@@ -8,7 +8,7 @@ tags:
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  - dataset_size:2560000
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  - loss:MultipleNegativesRankingLoss
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  model-index:
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- - name: .
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  results:
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  - task:
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  type: retrieval
@@ -20,75 +20,75 @@ model-index:
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  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
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  metrics:
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  - type: map_at_1
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- value: 17.861
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  - type: map_at_10
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- value: 28.733999999999998
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  - type: map_at_100
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- value: 30.482
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  - type: map_at_1000
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- value: 30.616
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  - type: map_at_20
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- value: 29.717
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  - type: map_at_3
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- value: 24.617
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  - type: map_at_5
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- value: 26.654
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  - type: mrr_at_1
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- value: 26.900000000000002
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  - type: mrr_at_10
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- value: 37.138
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  - type: mrr_at_100
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- value: 38.157999999999994
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  - type: mrr_at_1000
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- value: 38.204
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  - type: mrr_at_20
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- value: 37.808
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  - type: mrr_at_3
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- value: 33.717000000000006
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  - type: mrr_at_5
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- value: 35.632000000000005
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  - type: ndcg_at_1
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- value: 26.900000000000002
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  - type: ndcg_at_10
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- value: 36.125
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  - type: ndcg_at_100
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- value: 43.043
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  - type: ndcg_at_1000
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- value: 45.611000000000004
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  - type: ndcg_at_20
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- value: 39.055
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  - type: ndcg_at_3
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- value: 29.372
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  - type: ndcg_at_5
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- value: 32.015
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  - type: precision_at_1
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- value: 26.900000000000002
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  - type: precision_at_10
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- value: 8.59
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  - type: precision_at_100
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- value: 1.444
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  - type: precision_at_1000
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- value: 0.181
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  - type: precision_at_20
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- value: 5.295
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  - type: precision_at_3
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- value: 16.933
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  - type: precision_at_5
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- value: 12.839999999999998
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  - type: recall_at_1
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- value: 17.861
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  - type: recall_at_10
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- value: 49.175999999999995
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  - type: recall_at_100
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- value: 76.28399999999999
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  - type: recall_at_1000
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- value: 92.905
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  - type: recall_at_20
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- value: 58.755
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  - type: recall_at_3
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- value: 31.334
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  - type: recall_at_5
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- value: 38.217
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  - task:
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  type: retrieval
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  dataset:
@@ -99,75 +99,75 @@ model-index:
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  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
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  metrics:
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  - type: map_at_1
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- value: 16.744
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  - type: map_at_10
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- value: 25.447999999999997
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  - type: map_at_100
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- value: 26.296999999999997
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  - type: map_at_1000
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- value: 26.369
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  - type: map_at_20
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- value: 25.951
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  - type: map_at_3
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- value: 22.826
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  - type: map_at_5
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- value: 24.309
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  - type: mrr_at_1
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- value: 17.669
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  - type: mrr_at_10
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- value: 26.711000000000002
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  - type: mrr_at_100
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- value: 27.534
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  - type: mrr_at_1000
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- value: 27.589000000000002
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  - type: mrr_at_20
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- value: 27.211999999999996
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  - type: mrr_at_3
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- value: 24.052
127
  - type: mrr_at_5
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- value: 25.532
129
  - type: ndcg_at_1
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- value: 17.669
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  - type: ndcg_at_10
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- value: 30.53
133
  - type: ndcg_at_100
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- value: 34.823
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  - type: ndcg_at_1000
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- value: 36.624
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  - type: ndcg_at_20
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- value: 32.323
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  - type: ndcg_at_3
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- value: 25.119000000000003
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  - type: ndcg_at_5
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- value: 27.791
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  - type: precision_at_1
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- value: 17.669
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  - type: precision_at_10
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- value: 4.8660000000000005
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  - type: precision_at_100
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- value: 0.7230000000000001
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  - type: precision_at_1000
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- value: 0.09
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  - type: precision_at_20
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- value: 2.826
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  - type: precision_at_3
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- value: 10.823
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  - type: precision_at_5
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- value: 7.9
157
  - type: recall_at_1
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- value: 16.744
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  - type: recall_at_10
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- value: 45.205
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  - type: recall_at_100
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- value: 65.094
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  - type: recall_at_1000
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- value: 78.739
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  - type: recall_at_20
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- value: 52.066
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  - type: recall_at_3
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- value: 30.574
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  - type: recall_at_5
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- value: 36.986999999999995
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  - task:
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  type: retrieval
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  dataset:
@@ -178,75 +178,75 @@ model-index:
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  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
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  metrics:
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  - type: map_at_1
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- value: 15.962000000000002
182
  - type: map_at_10
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- value: 24.746000000000002
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  - type: map_at_100
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- value: 26.306
186
  - type: map_at_1000
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- value: 26.451
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  - type: map_at_20
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- value: 25.507
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  - type: map_at_3
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- value: 20.810000000000002
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  - type: map_at_5
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- value: 23.095
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  - type: mrr_at_1
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- value: 26.521
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  - type: mrr_at_10
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- value: 36.268
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  - type: mrr_at_100
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- value: 36.986999999999995
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  - type: mrr_at_1000
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- value: 37.047000000000004
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  - type: mrr_at_20
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- value: 36.611
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  - type: mrr_at_3
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- value: 32.644
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  - type: mrr_at_5
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- value: 35.223
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  - type: ndcg_at_1
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- value: 26.521
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  - type: ndcg_at_10
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- value: 32.038
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  - type: ndcg_at_100
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- value: 38.577
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  - type: ndcg_at_1000
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- value: 41.449999999999996
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  - type: ndcg_at_20
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- value: 34.086
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  - type: ndcg_at_3
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- value: 25.515
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  - type: ndcg_at_5
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- value: 28.860999999999997
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  - type: precision_at_1
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- value: 26.521
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  - type: precision_at_10
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- value: 8.224
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  - type: precision_at_100
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- value: 1.426
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  - type: precision_at_1000
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- value: 0.183
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  - type: precision_at_20
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- value: 4.854
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  - type: precision_at_3
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- value: 15.328
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  - type: precision_at_5
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- value: 12.701
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  - type: recall_at_1
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- value: 15.962000000000002
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  - type: recall_at_10
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- value: 41.573
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  - type: recall_at_100
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- value: 67.963
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  - type: recall_at_1000
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- value: 87.077
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  - type: recall_at_20
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- value: 48.036
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  - type: recall_at_3
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- value: 25.457
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  - type: recall_at_5
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- value: 33.143
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  - task:
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  type: retrieval
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  dataset:
@@ -257,75 +257,75 @@ model-index:
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  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
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  metrics:
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  - type: map_at_1
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- value: 14.865
261
  - type: map_at_10
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- value: 24.122
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  - type: map_at_100
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- value: 25.345000000000002
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  - type: map_at_1000
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- value: 25.413000000000004
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  - type: map_at_20
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- value: 24.887999999999998
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  - type: map_at_3
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- value: 19.97
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  - type: map_at_5
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- value: 22.898
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  - type: mrr_at_1
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- value: 17.116999999999997
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  - type: mrr_at_10
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- value: 26.115
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  - type: mrr_at_100
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- value: 27.194000000000003
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  - type: mrr_at_1000
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- value: 27.243000000000002
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  - type: mrr_at_20
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- value: 26.828999999999997
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  - type: mrr_at_3
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- value: 21.922
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  - type: mrr_at_5
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- value: 24.985
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  - type: ndcg_at_1
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- value: 17.116999999999997
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  - type: ndcg_at_10
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- value: 29.918
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  - type: ndcg_at_100
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- value: 35.658
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  - type: ndcg_at_1000
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- value: 37.349
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  - type: ndcg_at_20
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- value: 32.74
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  - type: ndcg_at_3
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- value: 21.807000000000002
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  - type: ndcg_at_5
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- value: 27.128999999999998
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  - type: precision_at_1
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- value: 17.116999999999997
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  - type: precision_at_10
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- value: 5.405
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  - type: precision_at_100
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- value: 0.8380000000000001
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  - type: precision_at_1000
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- value: 0.099
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  - type: precision_at_20
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- value: 3.288
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  - type: precision_at_3
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- value: 9.91
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  - type: precision_at_5
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- value: 8.828999999999999
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  - type: recall_at_1
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- value: 14.865
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  - type: recall_at_10
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- value: 45.946
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  - type: recall_at_100
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- value: 72.072
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  - type: recall_at_1000
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- value: 85.135
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  - type: recall_at_20
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- value: 57.206999999999994
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  - type: recall_at_3
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- value: 25.224999999999998
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  - type: recall_at_5
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- value: 37.838
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  - task:
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  type: retrieval
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  dataset:
@@ -336,75 +336,75 @@ model-index:
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  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
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  metrics:
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  - type: map_at_1
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- value: 10.285
340
  - type: map_at_10
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- value: 22.831000000000003
342
  - type: map_at_100
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- value: 25.868000000000002
344
  - type: map_at_1000
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- value: 26.029999999999998
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  - type: map_at_20
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- value: 24.3
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  - type: map_at_3
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- value: 16.539
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  - type: map_at_5
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- value: 19.593
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  - type: mrr_at_1
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- value: 23.607
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  - type: mrr_at_10
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- value: 36.899
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  - type: mrr_at_100
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- value: 37.958
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  - type: mrr_at_1000
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- value: 37.987
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  - type: mrr_at_20
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- value: 37.454
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  - type: mrr_at_3
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- value: 32.732
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  - type: mrr_at_5
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- value: 35.126000000000005
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  - type: ndcg_at_1
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- value: 23.607
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  - type: ndcg_at_10
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- value: 32.774
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  - type: ndcg_at_100
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- value: 43.553999999999995
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  - type: ndcg_at_1000
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- value: 45.604
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  - type: ndcg_at_20
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- value: 36.408
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  - type: ndcg_at_3
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- value: 23.846
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  - type: ndcg_at_5
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- value: 26.954
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  - type: precision_at_1
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- value: 23.607
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  - type: precision_at_10
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- value: 11.639
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  - type: precision_at_100
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- value: 2.2689999999999997
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  - type: precision_at_1000
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- value: 0.258
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  - type: precision_at_20
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- value: 7.327999999999999
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  - type: precision_at_3
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- value: 18.251
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  - type: precision_at_5
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- value: 15.344
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  - type: recall_at_1
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- value: 10.285
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  - type: recall_at_10
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- value: 46.227000000000004
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  - type: recall_at_100
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- value: 85.478
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  - type: recall_at_1000
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- value: 97.52
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  - type: recall_at_20
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- value: 56.738
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  - type: recall_at_3
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- value: 22.633
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  - type: recall_at_5
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- value: 31.898
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  - task:
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  type: retrieval
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  dataset:
@@ -415,75 +415,75 @@ model-index:
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  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
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  metrics:
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  - type: map_at_1
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- value: 11.625
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  - type: map_at_10
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- value: 22.033
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  - type: map_at_100
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- value: 25.343
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  - type: map_at_1000
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- value: 25.555
425
  - type: map_at_20
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- value: 23.77
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  - type: map_at_3
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- value: 17.163
429
  - type: map_at_5
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- value: 19.431
431
  - type: mrr_at_1
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- value: 24.781
433
  - type: mrr_at_10
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- value: 35.998000000000005
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  - type: mrr_at_100
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- value: 37.345
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  - type: mrr_at_1000
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- value: 37.376
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  - type: mrr_at_20
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- value: 36.912
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  - type: mrr_at_3
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- value: 32.144
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  - type: mrr_at_5
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- value: 34.184
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  - type: ndcg_at_1
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- value: 24.781
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  - type: ndcg_at_10
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- value: 30.608999999999998
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  - type: ndcg_at_100
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- value: 42.407000000000004
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  - type: ndcg_at_1000
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- value: 45.1
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  - type: ndcg_at_20
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- value: 35.188
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  - type: ndcg_at_3
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- value: 24.271
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  - type: ndcg_at_5
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- value: 26.090000000000003
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  - type: precision_at_1
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- value: 24.781
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  - type: precision_at_10
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- value: 10.388
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  - type: precision_at_100
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- value: 2.35
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  - type: precision_at_1000
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- value: 0.28400000000000003
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  - type: precision_at_20
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- value: 7.140000000000001
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  - type: precision_at_3
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- value: 17.438000000000002
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  - type: precision_at_5
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- value: 14.043
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  - type: recall_at_1
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- value: 11.625
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  - type: recall_at_10
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- value: 40.717
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  - type: recall_at_100
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- value: 82.492
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  - type: recall_at_1000
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- value: 97.495
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  - type: recall_at_20
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- value: 54.208
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  - type: recall_at_3
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- value: 21.747
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  - type: recall_at_5
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- value: 28.74
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  - task:
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  type: retrieval
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  dataset:
@@ -494,75 +494,75 @@ model-index:
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  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
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  metrics:
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  - type: map_at_1
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- value: 6.765000000000001
498
  - type: map_at_10
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- value: 13.469999999999999
500
  - type: map_at_100
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- value: 14.575
502
  - type: map_at_1000
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- value: 14.668000000000001
504
  - type: map_at_20
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- value: 14.055000000000001
506
  - type: map_at_3
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- value: 10.853
508
  - type: map_at_5
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- value: 12.251
510
  - type: mrr_at_1
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- value: 8.602
512
  - type: mrr_at_10
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- value: 15.595999999999998
514
  - type: mrr_at_100
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- value: 16.624
516
  - type: mrr_at_1000
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- value: 16.704
518
  - type: mrr_at_20
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- value: 16.169
520
  - type: mrr_at_3
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- value: 12.881
522
  - type: mrr_at_5
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- value: 14.393
524
  - type: ndcg_at_1
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- value: 8.602
526
  - type: ndcg_at_10
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- value: 18.107
528
  - type: ndcg_at_100
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- value: 23.851
530
  - type: ndcg_at_1000
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- value: 26.379
532
  - type: ndcg_at_20
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- value: 20.182
534
  - type: ndcg_at_3
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- value: 12.681000000000001
536
  - type: ndcg_at_5
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- value: 15.190000000000001
538
  - type: precision_at_1
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- value: 8.602
540
  - type: precision_at_10
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- value: 3.6830000000000003
542
  - type: precision_at_100
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- value: 0.7040000000000001
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  - type: precision_at_1000
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- value: 0.095
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  - type: precision_at_20
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- value: 2.332
548
  - type: precision_at_3
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- value: 6.407
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  - type: precision_at_5
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- value: 5.188000000000001
552
  - type: recall_at_1
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- value: 6.765000000000001
554
  - type: recall_at_10
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- value: 30.511
556
  - type: recall_at_100
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- value: 57.303000000000004
558
  - type: recall_at_1000
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- value: 76.568
560
  - type: recall_at_20
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- value: 38.284
562
  - type: recall_at_3
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- value: 16.084
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  - type: recall_at_5
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- value: 21.886
566
  - task:
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  type: retrieval
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  dataset:
@@ -573,75 +573,75 @@ model-index:
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  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
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  metrics:
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  - type: map_at_1
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- value: 15.268
577
  - type: map_at_10
578
- value: 27.929
579
  - type: map_at_100
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- value: 30.323
581
  - type: map_at_1000
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- value: 30.433
583
  - type: map_at_20
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- value: 29.247
585
  - type: map_at_3
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- value: 22.684
587
  - type: map_at_5
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- value: 25.453
589
  - type: mrr_at_1
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- value: 24.684
591
  - type: mrr_at_10
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- value: 36.925999999999995
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  - type: mrr_at_100
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- value: 38.031
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  - type: mrr_at_1000
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- value: 38.063
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  - type: mrr_at_20
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- value: 37.62
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  - type: mrr_at_3
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- value: 33.07
601
  - type: mrr_at_5
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- value: 35.467
603
  - type: ndcg_at_1
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- value: 24.684
605
  - type: ndcg_at_10
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- value: 36.153999999999996
607
  - type: ndcg_at_100
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- value: 44.828
609
  - type: ndcg_at_1000
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- value: 46.482
611
  - type: ndcg_at_20
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- value: 39.678999999999995
613
  - type: ndcg_at_3
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- value: 28.223
615
  - type: ndcg_at_5
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- value: 31.684
617
  - type: precision_at_1
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- value: 24.684
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  - type: precision_at_10
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- value: 9.778
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  - type: precision_at_100
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- value: 1.7610000000000001
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  - type: precision_at_1000
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- value: 0.199
625
  - type: precision_at_20
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- value: 6.178999999999999
627
  - type: precision_at_3
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- value: 17.563000000000002
629
  - type: precision_at_5
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- value: 14.272000000000002
631
  - type: recall_at_1
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- value: 15.268
633
  - type: recall_at_10
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- value: 50.39
635
  - type: recall_at_100
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- value: 83.39800000000001
637
  - type: recall_at_1000
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- value: 93.589
639
  - type: recall_at_20
640
- value: 61.543000000000006
641
  - type: recall_at_3
642
- value: 29.754
643
  - type: recall_at_5
644
- value: 38.504
645
  - task:
646
  type: retrieval
647
  dataset:
@@ -652,75 +652,75 @@ model-index:
652
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
653
  metrics:
654
  - type: map_at_1
655
- value: 20.075000000000003
656
  - type: map_at_10
657
- value: 33.783
658
  - type: map_at_100
659
- value: 35.548
660
  - type: map_at_1000
661
- value: 35.650999999999996
662
  - type: map_at_20
663
- value: 34.824
664
  - type: map_at_3
665
- value: 29.069
666
  - type: map_at_5
667
- value: 31.887999999999998
668
  - type: mrr_at_1
669
- value: 32.9
670
  - type: mrr_at_10
671
- value: 44.633
672
  - type: mrr_at_100
673
- value: 45.491
674
  - type: mrr_at_1000
675
- value: 45.518
676
  - type: mrr_at_20
677
- value: 45.184999999999995
678
  - type: mrr_at_3
679
- value: 41.533
680
  - type: mrr_at_5
681
- value: 43.338
682
  - type: ndcg_at_1
683
- value: 32.9
684
  - type: ndcg_at_10
685
- value: 42.068
686
  - type: ndcg_at_100
687
- value: 48.836
688
  - type: ndcg_at_1000
689
- value: 50.849999999999994
690
  - type: ndcg_at_20
691
- value: 45.013999999999996
692
  - type: ndcg_at_3
693
- value: 34.382000000000005
694
  - type: ndcg_at_5
695
- value: 38.169
696
  - type: precision_at_1
697
- value: 32.9
698
  - type: precision_at_10
699
- value: 10.02
700
  - type: precision_at_100
701
- value: 1.545
702
  - type: precision_at_1000
703
- value: 0.182
704
  - type: precision_at_20
705
- value: 5.955
706
  - type: precision_at_3
707
- value: 20.9
708
  - type: precision_at_5
709
- value: 15.98
710
  - type: recall_at_1
711
- value: 20.075000000000003
712
  - type: recall_at_10
713
- value: 55.042
714
  - type: recall_at_100
715
- value: 81.609
716
  - type: recall_at_1000
717
- value: 95.048
718
  - type: recall_at_20
719
- value: 64.791
720
  - type: recall_at_3
721
- value: 36.617
722
  - type: recall_at_5
723
- value: 44.905
724
  - task:
725
  type: retrieval
726
  dataset:
@@ -731,75 +731,75 @@ model-index:
731
  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
732
  metrics:
733
  - type: map_at_1
734
- value: 13.489999999999998
735
  - type: map_at_10
736
- value: 20.253
737
  - type: map_at_100
738
- value: 21.201
739
  - type: map_at_1000
740
- value: 21.285999999999998
741
  - type: map_at_20
742
- value: 20.796
743
  - type: map_at_3
744
- value: 17.869
745
  - type: map_at_5
746
- value: 19.217000000000002
747
  - type: mrr_at_1
748
- value: 14.514
749
  - type: mrr_at_10
750
- value: 21.369
751
  - type: mrr_at_100
752
- value: 22.273
753
  - type: mrr_at_1000
754
- value: 22.346
755
  - type: mrr_at_20
756
- value: 21.892
757
  - type: mrr_at_3
758
- value: 18.913
759
  - type: mrr_at_5
760
- value: 20.336000000000002
761
  - type: ndcg_at_1
762
- value: 14.514
763
  - type: ndcg_at_10
764
- value: 24.426000000000002
765
  - type: ndcg_at_100
766
- value: 29.253
767
  - type: ndcg_at_1000
768
- value: 31.752000000000002
769
  - type: ndcg_at_20
770
- value: 26.36
771
  - type: ndcg_at_3
772
- value: 19.523
773
  - type: ndcg_at_5
774
- value: 21.986
775
  - type: precision_at_1
776
- value: 14.514
777
  - type: precision_at_10
778
- value: 4.011
779
  - type: precision_at_100
780
- value: 0.6629999999999999
781
  - type: precision_at_1000
782
- value: 0.09
783
  - type: precision_at_20
784
- value: 2.444
785
  - type: precision_at_3
786
- value: 8.373
787
  - type: precision_at_5
788
- value: 6.332
789
  - type: recall_at_1
790
- value: 13.489999999999998
791
  - type: recall_at_10
792
- value: 36.43
793
  - type: recall_at_100
794
- value: 59.024
795
  - type: recall_at_1000
796
- value: 78.668
797
  - type: recall_at_20
798
- value: 43.793
799
  - type: recall_at_3
800
- value: 23.339
801
  - type: recall_at_5
802
- value: 29.213
803
  - task:
804
  type: retrieval
805
  dataset:
@@ -810,75 +810,75 @@ model-index:
810
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
811
  metrics:
812
  - type: map_at_1
813
- value: 7.768
814
  - type: map_at_10
815
- value: 17.591
816
  - type: map_at_100
817
- value: 20.544999999999998
818
  - type: map_at_1000
819
- value: 20.673
820
  - type: map_at_20
821
- value: 19.131
822
  - type: map_at_3
823
- value: 12.567999999999998
824
  - type: map_at_5
825
- value: 14.846
826
  - type: mrr_at_1
827
- value: 13.994000000000002
828
  - type: mrr_at_10
829
- value: 25.740000000000002
830
  - type: mrr_at_100
831
- value: 27.156999999999996
832
  - type: mrr_at_1000
833
- value: 27.189999999999998
834
  - type: mrr_at_20
835
- value: 26.61
836
  - type: mrr_at_3
837
- value: 20.554
838
  - type: mrr_at_5
839
- value: 23.163
840
  - type: ndcg_at_1
841
- value: 13.994000000000002
842
  - type: ndcg_at_10
843
- value: 25.929000000000002
844
  - type: ndcg_at_100
845
- value: 37.244
846
  - type: ndcg_at_1000
847
- value: 39.211
848
  - type: ndcg_at_20
849
- value: 30.314000000000004
850
  - type: ndcg_at_3
851
- value: 16.329
852
  - type: ndcg_at_5
853
- value: 19.826
854
  - type: precision_at_1
855
- value: 13.994000000000002
856
  - type: precision_at_10
857
- value: 8.192
858
  - type: precision_at_100
859
- value: 1.799
860
  - type: precision_at_1000
861
- value: 0.207
862
  - type: precision_at_20
863
- value: 5.583
864
  - type: precision_at_3
865
- value: 11.079
866
  - type: precision_at_5
867
- value: 10.204
868
  - type: recall_at_1
869
- value: 7.768
870
  - type: recall_at_10
871
- value: 41.516999999999996
872
  - type: recall_at_100
873
- value: 85.148
874
  - type: recall_at_1000
875
- value: 97.342
876
  - type: recall_at_20
877
- value: 55.696
878
  - type: recall_at_3
879
- value: 17.559
880
  - type: recall_at_5
881
- value: 25.128
882
  - task:
883
  type: retrieval
884
  dataset:
@@ -889,75 +889,75 @@ model-index:
889
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
890
  metrics:
891
  - type: map_at_1
892
- value: 12.864
893
  - type: map_at_10
894
- value: 23.992
895
  - type: map_at_100
896
- value: 26.007
897
  - type: map_at_1000
898
- value: 26.157999999999998
899
  - type: map_at_20
900
- value: 25.130000000000003
901
  - type: map_at_3
902
- value: 19.867
903
  - type: map_at_5
904
- value: 21.657
905
  - type: mrr_at_1
906
- value: 25.714
907
  - type: mrr_at_10
908
- value: 36.374
909
  - type: mrr_at_100
910
- value: 37.399
911
  - type: mrr_at_1000
912
- value: 37.458000000000006
913
  - type: mrr_at_20
914
- value: 37.055
915
  - type: mrr_at_3
916
- value: 33.762
917
  - type: mrr_at_5
918
- value: 35.176
919
  - type: ndcg_at_1
920
- value: 25.714
921
  - type: ndcg_at_10
922
- value: 31.902
923
  - type: ndcg_at_100
924
- value: 39.534000000000006
925
  - type: ndcg_at_1000
926
- value: 42.424
927
  - type: ndcg_at_20
928
- value: 35.189
929
  - type: ndcg_at_3
930
- value: 26.52
931
  - type: ndcg_at_5
932
- value: 27.833999999999996
933
  - type: precision_at_1
934
- value: 25.714
935
  - type: precision_at_10
936
- value: 9.171
937
  - type: precision_at_100
938
- value: 1.569
939
  - type: precision_at_1000
940
- value: 0.197
941
  - type: precision_at_20
942
- value: 5.671
943
  - type: precision_at_3
944
- value: 18.095
945
  - type: precision_at_5
946
- value: 13.370999999999999
947
  - type: recall_at_1
948
- value: 12.864
949
  - type: recall_at_10
950
- value: 42.522999999999996
951
  - type: recall_at_100
952
- value: 72.653
953
  - type: recall_at_1000
954
- value: 91.49199999999999
955
  - type: recall_at_20
956
- value: 53.452999999999996
957
  - type: recall_at_3
958
- value: 26.007
959
  - type: recall_at_5
960
- value: 31.608999999999998
961
  - task:
962
  type: retrieval
963
  dataset:
@@ -968,75 +968,75 @@ model-index:
968
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
969
  metrics:
970
  - type: map_at_1
971
- value: 10.563
972
  - type: map_at_10
973
- value: 20.183
974
  - type: map_at_100
975
- value: 22.461000000000002
976
  - type: map_at_1000
977
- value: 22.719
978
  - type: map_at_20
979
- value: 21.342
980
  - type: map_at_3
981
- value: 16.25
982
  - type: map_at_5
983
- value: 18.415
984
  - type: mrr_at_1
985
- value: 23.541999999999998
986
  - type: mrr_at_10
987
- value: 35.272999999999996
988
  - type: mrr_at_100
989
- value: 36.291000000000004
990
  - type: mrr_at_1000
991
- value: 36.336
992
  - type: mrr_at_20
993
- value: 35.894999999999996
994
  - type: mrr_at_3
995
- value: 31.874999999999996
996
  - type: mrr_at_5
997
- value: 33.833
998
  - type: ndcg_at_1
999
- value: 23.541999999999998
1000
  - type: ndcg_at_10
1001
- value: 28.144000000000002
1002
  - type: ndcg_at_100
1003
- value: 36.806
1004
  - type: ndcg_at_1000
1005
- value: 40.888000000000005
1006
  - type: ndcg_at_20
1007
- value: 31.263
1008
  - type: ndcg_at_3
1009
- value: 23.796999999999997
1010
  - type: ndcg_at_5
1011
- value: 25.304
1012
  - type: precision_at_1
1013
- value: 23.541999999999998
1014
  - type: precision_at_10
1015
- value: 9.771
1016
  - type: precision_at_100
1017
- value: 1.994
1018
  - type: precision_at_1000
1019
- value: 0.281
1020
  - type: precision_at_20
1021
- value: 6.343999999999999
1022
  - type: precision_at_3
1023
- value: 17.639
1024
  - type: precision_at_5
1025
- value: 14.271
1026
  - type: recall_at_1
1027
- value: 10.563
1028
  - type: recall_at_10
1029
- value: 35.47
1030
  - type: recall_at_100
1031
- value: 65.713
1032
  - type: recall_at_1000
1033
- value: 88.68599999999999
1034
  - type: recall_at_20
1035
- value: 44.285999999999994
1036
  - type: recall_at_3
1037
- value: 21.366
1038
  - type: recall_at_5
1039
- value: 27.598
1040
  - task:
1041
  type: retrieval
1042
  dataset:
@@ -1047,75 +1047,75 @@ model-index:
1047
  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
1048
  metrics:
1049
  - type: map_at_1
1050
- value: 17.149
1051
  - type: map_at_10
1052
- value: 27.351
1053
  - type: map_at_100
1054
- value: 28.42
1055
  - type: map_at_1000
1056
- value: 28.491
1057
  - type: map_at_20
1058
- value: 28.026
1059
  - type: map_at_3
1060
- value: 23.918
1061
  - type: map_at_5
1062
- value: 26.125999999999998
1063
  - type: mrr_at_1
1064
- value: 18.938
1065
  - type: mrr_at_10
1066
- value: 28.853
1067
  - type: mrr_at_100
1068
- value: 29.805999999999997
1069
  - type: mrr_at_1000
1070
- value: 29.863
1071
  - type: mrr_at_20
1072
- value: 29.457
1073
  - type: mrr_at_3
1074
- value: 25.714
1075
  - type: mrr_at_5
1076
- value: 27.674
1077
  - type: ndcg_at_1
1078
- value: 18.938
1079
  - type: ndcg_at_10
1080
- value: 33.195
1081
  - type: ndcg_at_100
1082
- value: 38.17
1083
  - type: ndcg_at_1000
1084
- value: 40.109
1085
  - type: ndcg_at_20
1086
- value: 35.514
1087
  - type: ndcg_at_3
1088
- value: 26.509
1089
  - type: ndcg_at_5
1090
- value: 30.325000000000003
1091
  - type: precision_at_1
1092
- value: 18.938
1093
  - type: precision_at_10
1094
- value: 5.694
1095
  - type: precision_at_100
1096
- value: 0.8370000000000001
1097
  - type: precision_at_1000
1098
- value: 0.10200000000000001
1099
  - type: precision_at_20
1100
- value: 3.366
1101
  - type: precision_at_3
1102
- value: 12.142999999999999
1103
  - type: precision_at_5
1104
- value: 9.385
1105
  - type: recall_at_1
1106
- value: 17.149
1107
  - type: recall_at_10
1108
- value: 49.799
1109
  - type: recall_at_100
1110
- value: 72.256
1111
  - type: recall_at_1000
1112
- value: 87.354
1113
  - type: recall_at_20
1114
- value: 58.585
1115
  - type: recall_at_3
1116
- value: 32.268
1117
  - type: recall_at_5
1118
- value: 41.275
1119
  - task:
1120
  type: retrieval
1121
  dataset:
@@ -1126,75 +1126,75 @@ model-index:
1126
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
1127
  metrics:
1128
  - type: map_at_1
1129
- value: 10.001999999999999
1130
  - type: map_at_10
1131
- value: 19.887
1132
  - type: map_at_100
1133
- value: 22.192
1134
  - type: map_at_1000
1135
- value: 22.364
1136
  - type: map_at_20
1137
- value: 21.127000000000002
1138
  - type: map_at_3
1139
- value: 16.297
1140
  - type: map_at_5
1141
- value: 18.046
1142
  - type: mrr_at_1
1143
- value: 17.442
1144
  - type: mrr_at_10
1145
- value: 29.804000000000002
1146
  - type: mrr_at_100
1147
- value: 31.025999999999996
1148
  - type: mrr_at_1000
1149
- value: 31.075999999999997
1150
  - type: mrr_at_20
1151
- value: 30.570000000000004
1152
  - type: mrr_at_3
1153
- value: 26.491999999999997
1154
  - type: mrr_at_5
1155
- value: 28.341
1156
  - type: ndcg_at_1
1157
- value: 17.442
1158
  - type: ndcg_at_10
1159
- value: 27.561999999999998
1160
  - type: ndcg_at_100
1161
- value: 36.714999999999996
1162
  - type: ndcg_at_1000
1163
- value: 39.564
1164
  - type: ndcg_at_20
1165
- value: 31.133
1166
  - type: ndcg_at_3
1167
- value: 21.464
1168
  - type: ndcg_at_5
1169
- value: 23.775
1170
  - type: precision_at_1
1171
- value: 17.442
1172
  - type: precision_at_10
1173
- value: 7.663
1174
  - type: precision_at_100
1175
- value: 1.566
1176
  - type: precision_at_1000
1177
- value: 0.197
1178
  - type: precision_at_20
1179
- value: 5.07
1180
  - type: precision_at_3
1181
- value: 14.302000000000001
1182
  - type: precision_at_5
1183
- value: 11.07
1184
  - type: recall_at_1
1185
- value: 10.001999999999999
1186
  - type: recall_at_10
1187
- value: 39.982
1188
  - type: recall_at_100
1189
- value: 76.165
1190
  - type: recall_at_1000
1191
- value: 94.487
1192
  - type: recall_at_20
1193
- value: 51.559999999999995
1194
  - type: recall_at_3
1195
- value: 23.274
1196
  - type: recall_at_5
1197
- value: 29.842000000000002
1198
  - task:
1199
  type: retrieval
1200
  dataset:
@@ -1205,75 +1205,75 @@ model-index:
1205
  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
1206
  metrics:
1207
  - type: map_at_1
1208
- value: 6.412
1209
  - type: map_at_10
1210
- value: 12.008000000000001
1211
  - type: map_at_100
1212
- value: 13.138
1213
  - type: map_at_1000
1214
- value: 13.227
1215
  - type: map_at_20
1216
- value: 12.669
1217
  - type: map_at_3
1218
- value: 9.738
1219
  - type: map_at_5
1220
- value: 10.852
1221
  - type: mrr_at_1
1222
- value: 8.056000000000001
1223
  - type: mrr_at_10
1224
- value: 14.155999999999999
1225
  - type: mrr_at_100
1226
- value: 15.232000000000001
1227
  - type: mrr_at_1000
1228
- value: 15.308
1229
  - type: mrr_at_20
1230
- value: 14.780999999999999
1231
  - type: mrr_at_3
1232
- value: 11.806
1233
  - type: mrr_at_5
1234
- value: 12.992999999999999
1235
  - type: ndcg_at_1
1236
- value: 8.056000000000001
1237
  - type: ndcg_at_10
1238
- value: 16.048000000000002
1239
  - type: ndcg_at_100
1240
- value: 21.833
1241
  - type: ndcg_at_1000
1242
- value: 24.282
1243
  - type: ndcg_at_20
1244
- value: 18.398
1245
  - type: ndcg_at_3
1246
- value: 11.317
1247
  - type: ndcg_at_5
1248
- value: 13.319
1249
  - type: precision_at_1
1250
- value: 8.056000000000001
1251
  - type: precision_at_10
1252
- value: 3.292
1253
  - type: precision_at_100
1254
- value: 0.664
1255
  - type: precision_at_1000
1256
- value: 0.091
1257
  - type: precision_at_20
1258
- value: 2.181
1259
  - type: precision_at_3
1260
- value: 5.833
1261
  - type: precision_at_5
1262
- value: 4.583
1263
  - type: recall_at_1
1264
- value: 6.412
1265
  - type: recall_at_10
1266
- value: 26.480999999999998
1267
  - type: recall_at_100
1268
- value: 53.217999999999996
1269
  - type: recall_at_1000
1270
- value: 71.528
1271
  - type: recall_at_20
1272
- value: 35.44
1273
  - type: recall_at_3
1274
- value: 13.866
1275
  - type: recall_at_5
1276
- value: 18.519
1277
  - task:
1278
  type: retrieval
1279
  dataset:
@@ -1284,75 +1284,75 @@ model-index:
1284
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
1285
  metrics:
1286
  - type: map_at_1
1287
- value: 19.03
1288
  - type: map_at_10
1289
- value: 30.987
1290
  - type: map_at_100
1291
- value: 33.248
1292
  - type: map_at_1000
1293
- value: 33.452
1294
  - type: map_at_20
1295
- value: 32.298
1296
  - type: map_at_3
1297
- value: 26.240999999999996
1298
  - type: map_at_5
1299
- value: 28.899
1300
  - type: mrr_at_1
1301
- value: 28.638
1302
  - type: mrr_at_10
1303
- value: 42.082
1304
  - type: mrr_at_100
1305
- value: 43.034
1306
  - type: mrr_at_1000
1307
- value: 43.059
1308
  - type: mrr_at_20
1309
- value: 42.736000000000004
1310
  - type: mrr_at_3
1311
- value: 38.340999999999994
1312
  - type: mrr_at_5
1313
- value: 40.548
1314
  - type: ndcg_at_1
1315
- value: 28.638
1316
  - type: ndcg_at_10
1317
- value: 39.284
1318
  - type: ndcg_at_100
1319
- value: 47.157
1320
  - type: ndcg_at_1000
1321
- value: 49.864000000000004
1322
  - type: ndcg_at_20
1323
- value: 42.719
1324
  - type: ndcg_at_3
1325
- value: 32.521
1326
  - type: ndcg_at_5
1327
- value: 35.57
1328
  - type: precision_at_1
1329
- value: 28.638
1330
  - type: precision_at_10
1331
- value: 10.657
1332
  - type: precision_at_100
1333
- value: 1.8870000000000002
1334
  - type: precision_at_1000
1335
- value: 0.241
1336
  - type: precision_at_20
1337
- value: 6.643000000000001
1338
  - type: precision_at_3
1339
- value: 19.718
1340
  - type: precision_at_5
1341
- value: 15.493000000000002
1342
  - type: recall_at_1
1343
- value: 19.03
1344
  - type: recall_at_10
1345
- value: 51.961999999999996
1346
  - type: recall_at_100
1347
- value: 79.836
1348
  - type: recall_at_1000
1349
- value: 95.3
1350
  - type: recall_at_20
1351
- value: 62.643
1352
  - type: recall_at_3
1353
- value: 33.1
1354
  - type: recall_at_5
1355
- value: 41.791
1356
  - task:
1357
  type: retrieval
1358
  dataset:
@@ -1363,75 +1363,75 @@ model-index:
1363
  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
1364
  metrics:
1365
  - type: map_at_1
1366
- value: 18.131
1367
  - type: map_at_10
1368
- value: 23.858999999999998
1369
  - type: map_at_100
1370
- value: 24.507
1371
  - type: map_at_1000
1372
- value: 24.582
1373
  - type: map_at_20
1374
- value: 24.152
1375
  - type: map_at_3
1376
- value: 22.09
1377
  - type: map_at_5
1378
- value: 22.971
1379
  - type: mrr_at_1
1380
- value: 20.19
1381
  - type: mrr_at_10
1382
- value: 26.249
1383
  - type: mrr_at_100
1384
- value: 26.871000000000002
1385
  - type: mrr_at_1000
1386
- value: 26.936
1387
  - type: mrr_at_20
1388
- value: 26.535999999999998
1389
  - type: mrr_at_3
1390
- value: 24.465999999999998
1391
  - type: mrr_at_5
1392
- value: 25.356
1393
  - type: ndcg_at_1
1394
- value: 20.19
1395
  - type: ndcg_at_10
1396
- value: 27.700000000000003
1397
  - type: ndcg_at_100
1398
- value: 31.436999999999998
1399
  - type: ndcg_at_1000
1400
- value: 33.690999999999995
1401
  - type: ndcg_at_20
1402
- value: 28.716
1403
  - type: ndcg_at_3
1404
- value: 23.985
1405
  - type: ndcg_at_5
1406
- value: 25.539
1407
  - type: precision_at_1
1408
- value: 20.19
1409
  - type: precision_at_10
1410
- value: 4.181
1411
  - type: precision_at_100
1412
- value: 0.637
1413
  - type: precision_at_1000
1414
- value: 0.08499999999999999
1415
  - type: precision_at_20
1416
- value: 2.316
1417
  - type: precision_at_3
1418
- value: 10.135
1419
  - type: precision_at_5
1420
- value: 6.888
1421
  - type: recall_at_1
1422
- value: 18.131
1423
  - type: recall_at_10
1424
- value: 37.49
1425
  - type: recall_at_100
1426
- value: 55.859
1427
  - type: recall_at_1000
1428
- value: 73.634
1429
  - type: recall_at_20
1430
- value: 41.291
1431
  - type: recall_at_3
1432
- value: 27.276
1433
  - type: recall_at_5
1434
- value: 30.918
1435
  - task:
1436
  type: retrieval
1437
  dataset:
@@ -1442,75 +1442,75 @@ model-index:
1442
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
1443
  metrics:
1444
  - type: map_at_1
1445
- value: 12.045
1446
  - type: map_at_10
1447
- value: 21.751
1448
  - type: map_at_100
1449
- value: 24.517
1450
  - type: map_at_1000
1451
- value: 24.726
1452
  - type: map_at_20
1453
- value: 23.142
1454
  - type: map_at_3
1455
- value: 17.546
1456
  - type: map_at_5
1457
- value: 19.555
1458
  - type: mrr_at_1
1459
- value: 22.900000000000002
1460
  - type: mrr_at_10
1461
- value: 33.946
1462
  - type: mrr_at_100
1463
- value: 35.199999999999996
1464
  - type: mrr_at_1000
1465
- value: 35.233
1466
  - type: mrr_at_20
1467
- value: 34.791
1468
  - type: mrr_at_3
1469
- value: 30.099999999999998
1470
  - type: mrr_at_5
1471
- value: 32.18
1472
  - type: ndcg_at_1
1473
- value: 22.900000000000002
1474
  - type: ndcg_at_10
1475
- value: 29.587000000000003
1476
  - type: ndcg_at_100
1477
- value: 39.934999999999995
1478
  - type: ndcg_at_1000
1479
- value: 42.857
1480
  - type: ndcg_at_20
1481
- value: 33.531
1482
  - type: ndcg_at_3
1483
- value: 23.361
1484
  - type: ndcg_at_5
1485
- value: 25.485999999999997
1486
  - type: precision_at_1
1487
- value: 22.900000000000002
1488
  - type: precision_at_10
1489
- value: 9.370000000000001
1490
  - type: precision_at_100
1491
- value: 2.1
1492
  - type: precision_at_1000
1493
- value: 0.263
1494
  - type: precision_at_20
1495
- value: 6.4399999999999995
1496
  - type: precision_at_3
1497
- value: 15.867
1498
  - type: precision_at_5
1499
- value: 12.86
1500
  - type: recall_at_1
1501
- value: 12.045
1502
  - type: recall_at_10
1503
- value: 39.612
1504
  - type: recall_at_100
1505
- value: 76.132
1506
  - type: recall_at_1000
1507
- value: 92.643
1508
  - type: recall_at_20
1509
- value: 51.13799999999999
1510
  - type: recall_at_3
1511
- value: 22.408
1512
  - type: recall_at_5
1513
- value: 28.794999999999998
1514
  - task:
1515
  type: retrieval
1516
  dataset:
@@ -1521,75 +1521,75 @@ model-index:
1521
  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
1522
  metrics:
1523
  - type: map_at_1
1524
- value: 12.127
1525
  - type: map_at_10
1526
- value: 18.472
1527
  - type: map_at_100
1528
- value: 19.395
1529
  - type: map_at_1000
1530
- value: 19.477
1531
  - type: map_at_20
1532
- value: 18.966
1533
  - type: map_at_3
1534
- value: 16.309
1535
  - type: map_at_5
1536
- value: 17.53
1537
  - type: mrr_at_1
1538
- value: 13.568
1539
  - type: mrr_at_10
1540
- value: 20.04
1541
  - type: mrr_at_100
1542
- value: 20.928
1543
  - type: mrr_at_1000
1544
- value: 20.995
1545
  - type: mrr_at_20
1546
- value: 20.538
1547
  - type: mrr_at_3
1548
- value: 17.855999999999998
1549
  - type: mrr_at_5
1550
- value: 19.027
1551
  - type: ndcg_at_1
1552
- value: 13.568
1553
  - type: ndcg_at_10
1554
- value: 22.509
1555
  - type: ndcg_at_100
1556
- value: 27.230999999999998
1557
  - type: ndcg_at_1000
1558
- value: 29.444
1559
  - type: ndcg_at_20
1560
- value: 24.277
1561
  - type: ndcg_at_3
1562
- value: 18.108
1563
  - type: ndcg_at_5
1564
- value: 20.252
1565
  - type: precision_at_1
1566
- value: 13.568
1567
  - type: precision_at_10
1568
- value: 3.769
1569
  - type: precision_at_100
1570
- value: 0.635
1571
  - type: precision_at_1000
1572
- value: 0.08499999999999999
1573
  - type: precision_at_20
1574
- value: 2.271
1575
  - type: precision_at_3
1576
- value: 8.107000000000001
1577
  - type: precision_at_5
1578
- value: 5.99
1579
  - type: recall_at_1
1580
- value: 12.127
1581
  - type: recall_at_10
1582
- value: 33.617999999999995
1583
  - type: recall_at_100
1584
- value: 55.662
1585
  - type: recall_at_1000
1586
- value: 72.697
1587
  - type: recall_at_20
1588
- value: 40.369
1589
  - type: recall_at_3
1590
- value: 21.91
1591
  - type: recall_at_5
1592
- value: 26.985
1593
  - task:
1594
  type: retrieval
1595
  dataset:
@@ -1600,75 +1600,75 @@ model-index:
1600
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
1601
  metrics:
1602
  - type: map_at_1
1603
- value: 8.068
1604
  - type: map_at_10
1605
- value: 19.563
1606
  - type: map_at_100
1607
- value: 24.198
1608
  - type: map_at_1000
1609
- value: 24.532
1610
  - type: map_at_20
1611
- value: 21.929000000000002
1612
  - type: map_at_3
1613
- value: 13.652000000000001
1614
  - type: map_at_5
1615
- value: 16.226
1616
  - type: mrr_at_1
1617
- value: 30.092999999999996
1618
  - type: mrr_at_10
1619
- value: 43.312
1620
  - type: mrr_at_100
1621
- value: 44.230999999999995
1622
  - type: mrr_at_1000
1623
- value: 44.252
1624
  - type: mrr_at_20
1625
- value: 43.891000000000005
1626
  - type: mrr_at_3
1627
- value: 39.428999999999995
1628
  - type: mrr_at_5
1629
- value: 41.682
1630
  - type: ndcg_at_1
1631
- value: 30.092999999999996
1632
  - type: ndcg_at_10
1633
- value: 30.218
1634
  - type: ndcg_at_100
1635
- value: 43.716
1636
  - type: ndcg_at_1000
1637
- value: 47.355000000000004
1638
  - type: ndcg_at_20
1639
- value: 35.268
1640
  - type: ndcg_at_3
1641
- value: 27.232
1642
  - type: ndcg_at_5
1643
- value: 26.874
1644
  - type: precision_at_1
1645
- value: 30.092999999999996
1646
  - type: precision_at_10
1647
- value: 15.293000000000001
1648
  - type: precision_at_100
1649
- value: 3.531
1650
  - type: precision_at_1000
1651
- value: 0.437
1652
  - type: precision_at_20
1653
- value: 10.693999999999999
1654
  - type: precision_at_3
1655
- value: 23.868000000000002
1656
  - type: precision_at_5
1657
- value: 19.938
1658
  - type: recall_at_1
1659
- value: 8.068
1660
  - type: recall_at_10
1661
- value: 35.778999999999996
1662
  - type: recall_at_100
1663
- value: 76.36699999999999
1664
  - type: recall_at_1000
1665
- value: 94.38499999999999
1666
  - type: recall_at_20
1667
- value: 48.014
1668
  - type: recall_at_3
1669
- value: 17.825
1670
  - type: recall_at_5
1671
- value: 24.163999999999998
1672
  - task:
1673
  type: retrieval
1674
  dataset:
@@ -1679,75 +1679,75 @@ model-index:
1679
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
1680
  metrics:
1681
  - type: map_at_1
1682
- value: 12.568999999999999
1683
  - type: map_at_10
1684
- value: 18.478
1685
  - type: map_at_100
1686
- value: 19.584
1687
  - type: map_at_1000
1688
- value: 19.714000000000002
1689
  - type: map_at_20
1690
- value: 19.073999999999998
1691
  - type: map_at_3
1692
- value: 16.275000000000002
1693
  - type: map_at_5
1694
- value: 17.53
1695
  - type: mrr_at_1
1696
- value: 20.124
1697
  - type: mrr_at_10
1698
- value: 25.951
1699
  - type: mrr_at_100
1700
- value: 26.812
1701
  - type: mrr_at_1000
1702
- value: 26.876
1703
  - type: mrr_at_20
1704
- value: 26.41
1705
  - type: mrr_at_3
1706
- value: 23.893
1707
  - type: mrr_at_5
1708
- value: 25.055
1709
  - type: ndcg_at_1
1710
- value: 20.124
1711
  - type: ndcg_at_10
1712
- value: 23.064999999999998
1713
  - type: ndcg_at_100
1714
- value: 28.193
1715
  - type: ndcg_at_1000
1716
- value: 31.313000000000002
1717
  - type: ndcg_at_20
1718
- value: 24.921
1719
  - type: ndcg_at_3
1720
- value: 19.436
1721
  - type: ndcg_at_5
1722
- value: 20.990000000000002
1723
  - type: precision_at_1
1724
- value: 20.124
1725
  - type: precision_at_10
1726
- value: 5.021
1727
  - type: precision_at_100
1728
- value: 0.927
1729
  - type: precision_at_1000
1730
- value: 0.13699999999999998
1731
  - type: precision_at_20
1732
- value: 3.1329999999999996
1733
  - type: precision_at_3
1734
- value: 10.719
1735
  - type: precision_at_5
1736
- value: 8.091
1737
  - type: recall_at_1
1738
- value: 12.568999999999999
1739
  - type: recall_at_10
1740
- value: 29.727999999999998
1741
  - type: recall_at_100
1742
- value: 50.70099999999999
1743
  - type: recall_at_1000
1744
- value: 71.856
1745
  - type: recall_at_20
1746
- value: 35.831
1747
  - type: recall_at_3
1748
- value: 19.758
1749
  - type: recall_at_5
1750
- value: 24.035999999999998
1751
  - task:
1752
  type: retrieval
1753
  dataset:
@@ -1758,75 +1758,75 @@ model-index:
1758
  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
1759
  metrics:
1760
  - type: map_at_1
1761
- value: 15.597
1762
  - type: map_at_10
1763
- value: 23.596
1764
  - type: map_at_100
1765
- value: 24.32
1766
  - type: map_at_1000
1767
- value: 24.377
1768
  - type: map_at_20
1769
- value: 23.913999999999998
1770
  - type: map_at_3
1771
- value: 21.484
1772
  - type: map_at_5
1773
- value: 22.647000000000002
1774
  - type: mrr_at_1
1775
- value: 16.866
1776
  - type: mrr_at_10
1777
- value: 24.633
1778
  - type: mrr_at_100
1779
- value: 25.291000000000004
1780
  - type: mrr_at_1000
1781
- value: 25.346999999999998
1782
  - type: mrr_at_20
1783
- value: 24.907
1784
  - type: mrr_at_3
1785
- value: 22.587
1786
  - type: mrr_at_5
1787
- value: 23.677
1788
  - type: ndcg_at_1
1789
- value: 16.866
1790
  - type: ndcg_at_10
1791
- value: 27.749000000000002
1792
  - type: ndcg_at_100
1793
- value: 31.769
1794
  - type: ndcg_at_1000
1795
- value: 33.61
1796
  - type: ndcg_at_20
1797
- value: 28.849000000000004
1798
  - type: ndcg_at_3
1799
- value: 23.462
1800
  - type: ndcg_at_5
1801
- value: 25.491000000000003
1802
  - type: precision_at_1
1803
- value: 16.866
1804
  - type: precision_at_10
1805
- value: 4.343
1806
  - type: precision_at_100
1807
- value: 0.649
1808
  - type: precision_at_1000
1809
- value: 0.08099999999999999
1810
  - type: precision_at_20
1811
- value: 2.41
1812
  - type: precision_at_3
1813
- value: 10.149
1814
  - type: precision_at_5
1815
- value: 7.134
1816
  - type: recall_at_1
1817
- value: 15.597
1818
  - type: recall_at_10
1819
- value: 39.652
1820
  - type: recall_at_100
1821
- value: 59.477999999999994
1822
  - type: recall_at_1000
1823
- value: 74.35300000000001
1824
  - type: recall_at_20
1825
- value: 43.905
1826
  - type: recall_at_3
1827
- value: 28.109
1828
  - type: recall_at_5
1829
- value: 32.934999999999995
1830
  - task:
1831
  type: retrieval
1832
  dataset:
@@ -1837,75 +1837,75 @@ model-index:
1837
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
1838
  metrics:
1839
  - type: map_at_1
1840
- value: 21.236
1841
  - type: map_at_10
1842
- value: 29.841
1843
  - type: map_at_100
1844
- value: 30.729
1845
  - type: map_at_1000
1846
- value: 30.817
1847
  - type: map_at_20
1848
- value: 30.331999999999997
1849
  - type: map_at_3
1850
- value: 27.154
1851
  - type: map_at_5
1852
- value: 28.719
1853
  - type: mrr_at_1
1854
- value: 21.618000000000002
1855
  - type: mrr_at_10
1856
- value: 30.192999999999998
1857
  - type: mrr_at_100
1858
- value: 31.067
1859
  - type: mrr_at_1000
1860
- value: 31.148999999999997
1861
  - type: mrr_at_20
1862
- value: 30.668
1863
  - type: mrr_at_3
1864
- value: 27.576
1865
  - type: mrr_at_5
1866
- value: 29.110000000000003
1867
  - type: ndcg_at_1
1868
- value: 21.618000000000002
1869
  - type: ndcg_at_10
1870
- value: 34.633
1871
  - type: ndcg_at_100
1872
- value: 39.425
1873
  - type: ndcg_at_1000
1874
- value: 41.762
1875
  - type: ndcg_at_20
1876
- value: 36.428
1877
  - type: ndcg_at_3
1878
- value: 29.189
1879
  - type: ndcg_at_5
1880
- value: 31.995
1881
  - type: precision_at_1
1882
- value: 21.618000000000002
1883
  - type: precision_at_10
1884
- value: 5.1209999999999996
1885
  - type: precision_at_100
1886
- value: 0.751
1887
  - type: precision_at_1000
1888
- value: 0.094
1889
  - type: precision_at_20
1890
- value: 2.923
1891
  - type: precision_at_3
1892
- value: 11.876000000000001
1893
  - type: precision_at_5
1894
- value: 8.551
1895
  - type: recall_at_1
1896
- value: 21.236
1897
  - type: recall_at_10
1898
- value: 49.436
1899
  - type: recall_at_100
1900
- value: 72.94699999999999
1901
  - type: recall_at_1000
1902
- value: 91.405
1903
  - type: recall_at_20
1904
- value: 56.562
1905
  - type: recall_at_3
1906
- value: 34.682
1907
  - type: recall_at_5
1908
- value: 41.445
1909
  - task:
1910
  type: retrieval
1911
  dataset:
@@ -1916,75 +1916,75 @@ model-index:
1916
  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
1917
  metrics:
1918
  - type: map_at_1
1919
- value: 16.872999999999998
1920
  - type: map_at_10
1921
- value: 26.543
1922
  - type: map_at_100
1923
- value: 27.3
1924
  - type: map_at_1000
1925
- value: 27.389999999999997
1926
  - type: map_at_20
1927
- value: 26.883000000000003
1928
  - type: map_at_3
1929
- value: 23.735999999999997
1930
  - type: map_at_5
1931
- value: 25.113999999999997
1932
  - type: mrr_at_1
1933
- value: 17.492
1934
  - type: mrr_at_10
1935
- value: 27.233
1936
  - type: mrr_at_100
1937
- value: 27.950999999999997
1938
  - type: mrr_at_1000
1939
- value: 28.037
1940
  - type: mrr_at_20
1941
- value: 27.556000000000004
1942
  - type: mrr_at_3
1943
- value: 24.458
1944
  - type: mrr_at_5
1945
- value: 25.874999999999996
1946
  - type: ndcg_at_1
1947
- value: 17.492
1948
  - type: ndcg_at_10
1949
- value: 32.013999999999996
1950
  - type: ndcg_at_100
1951
- value: 36.299
1952
  - type: ndcg_at_1000
1953
- value: 38.868
1954
  - type: ndcg_at_20
1955
- value: 33.238
1956
  - type: ndcg_at_3
1957
- value: 26.133
1958
  - type: ndcg_at_5
1959
- value: 28.632999999999996
1960
  - type: precision_at_1
1961
- value: 17.492
1962
  - type: precision_at_10
1963
- value: 5.108
1964
  - type: precision_at_100
1965
- value: 0.735
1966
  - type: precision_at_1000
1967
- value: 0.095
1968
  - type: precision_at_20
1969
- value: 2.81
1970
  - type: precision_at_3
1971
- value: 11.3
1972
  - type: precision_at_5
1973
- value: 8.019
1974
  - type: recall_at_1
1975
- value: 16.872999999999998
1976
  - type: recall_at_10
1977
- value: 48.684
1978
  - type: recall_at_100
1979
- value: 70.04599999999999
1980
  - type: recall_at_1000
1981
- value: 90.635
1982
  - type: recall_at_20
1983
- value: 53.483000000000004
1984
  - type: recall_at_3
1985
- value: 32.353
1986
  - type: recall_at_5
1987
- value: 38.39
1988
  - task:
1989
  type: retrieval
1990
  dataset:
@@ -1995,75 +1995,75 @@ model-index:
1995
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
1996
  metrics:
1997
  - type: map_at_1
1998
- value: 19.205
1999
  - type: map_at_10
2000
- value: 32.704
2001
  - type: map_at_100
2002
- value: 34.519
2003
  - type: map_at_1000
2004
- value: 34.634
2005
  - type: map_at_20
2006
- value: 33.762
2007
  - type: map_at_3
2008
- value: 27.992
2009
  - type: map_at_5
2010
- value: 30.354999999999997
2011
  - type: mrr_at_1
2012
- value: 27.558
2013
  - type: mrr_at_10
2014
- value: 40.933
2015
  - type: mrr_at_100
2016
- value: 41.916
2017
  - type: mrr_at_1000
2018
- value: 41.946
2019
  - type: mrr_at_20
2020
- value: 41.54
2021
  - type: mrr_at_3
2022
- value: 37.312
2023
  - type: mrr_at_5
2024
- value: 39.393
2025
  - type: ndcg_at_1
2026
- value: 27.558
2027
  - type: ndcg_at_10
2028
- value: 41.038999999999994
2029
  - type: ndcg_at_100
2030
- value: 48.076
2031
  - type: ndcg_at_1000
2032
- value: 49.946
2033
  - type: ndcg_at_20
2034
- value: 44.03
2035
  - type: ndcg_at_3
2036
- value: 33.013999999999996
2037
  - type: ndcg_at_5
2038
- value: 36.519
2039
  - type: precision_at_1
2040
- value: 27.558
2041
  - type: precision_at_10
2042
- value: 9.523
2043
  - type: precision_at_100
2044
- value: 1.52
2045
  - type: precision_at_1000
2046
  value: 0.178
2047
  - type: precision_at_20
2048
- value: 5.778
2049
  - type: precision_at_3
2050
- value: 18.963
2051
  - type: precision_at_5
2052
- value: 14.379
2053
  - type: recall_at_1
2054
- value: 19.205
2055
  - type: recall_at_10
2056
- value: 56.94200000000001
2057
  - type: recall_at_100
2058
- value: 84.937
2059
  - type: recall_at_1000
2060
- value: 96.86399999999999
2061
  - type: recall_at_20
2062
- value: 66.719
2063
  - type: recall_at_3
2064
- value: 36.536
2065
  - type: recall_at_5
2066
- value: 44.854
2067
  - task:
2068
  type: retrieval
2069
  dataset:
@@ -2074,75 +2074,75 @@ model-index:
2074
  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
2075
  metrics:
2076
  - type: map_at_1
2077
- value: 17.913
2078
  - type: map_at_10
2079
- value: 29.006999999999998
2080
  - type: map_at_100
2081
- value: 30.184
2082
  - type: map_at_1000
2083
- value: 30.249
2084
  - type: map_at_20
2085
- value: 29.799999999999997
2086
  - type: map_at_3
2087
- value: 25.14
2088
  - type: map_at_5
2089
- value: 27.172
2090
  - type: mrr_at_1
2091
- value: 19.664
2092
  - type: mrr_at_10
2093
- value: 30.891000000000002
2094
  - type: mrr_at_100
2095
- value: 31.896
2096
  - type: mrr_at_1000
2097
- value: 31.951
2098
  - type: mrr_at_20
2099
- value: 31.566
2100
  - type: mrr_at_3
2101
- value: 27.128999999999998
2102
  - type: mrr_at_5
2103
- value: 29.255
2104
  - type: ndcg_at_1
2105
- value: 19.664
2106
  - type: ndcg_at_10
2107
- value: 35.674
2108
  - type: ndcg_at_100
2109
- value: 40.969
2110
  - type: ndcg_at_1000
2111
- value: 42.698
2112
  - type: ndcg_at_20
2113
- value: 38.345
2114
  - type: ndcg_at_3
2115
- value: 27.826
2116
  - type: ndcg_at_5
2117
- value: 31.493
2118
  - type: precision_at_1
2119
- value: 19.664
2120
  - type: precision_at_10
2121
- value: 6.143
2122
  - type: precision_at_100
2123
- value: 0.8909999999999999
2124
  - type: precision_at_1000
2125
- value: 0.105
2126
  - type: precision_at_20
2127
- value: 3.66
2128
  - type: precision_at_3
2129
- value: 12.353
2130
  - type: precision_at_5
2131
- value: 9.411999999999999
2132
  - type: recall_at_1
2133
- value: 17.913
2134
  - type: recall_at_10
2135
- value: 54.705999999999996
2136
  - type: recall_at_100
2137
- value: 78.557
2138
  - type: recall_at_1000
2139
- value: 91.835
2140
  - type: recall_at_20
2141
- value: 64.846
2142
  - type: recall_at_3
2143
- value: 33.669
2144
  - type: recall_at_5
2145
- value: 42.297000000000004
2146
  - task:
2147
  type: retrieval
2148
  dataset:
@@ -2153,75 +2153,75 @@ model-index:
2153
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
2154
  metrics:
2155
  - type: map_at_1
2156
- value: 7.002999999999999
2157
  - type: map_at_10
2158
- value: 9.567
2159
  - type: map_at_100
2160
- value: 10.126
2161
  - type: map_at_1000
2162
- value: 10.209
2163
  - type: map_at_20
2164
- value: 9.944
2165
  - type: map_at_3
2166
- value: 8.929
2167
  - type: map_at_5
2168
- value: 8.929
2169
  - type: mrr_at_1
2170
- value: 7.563000000000001
2171
  - type: mrr_at_10
2172
- value: 10.503
2173
  - type: mrr_at_100
2174
- value: 11.151
2175
  - type: mrr_at_1000
2176
- value: 11.232000000000001
2177
  - type: mrr_at_20
2178
- value: 10.965
2179
  - type: mrr_at_3
2180
- value: 9.804
2181
  - type: mrr_at_5
2182
- value: 9.804
2183
  - type: ndcg_at_1
2184
- value: 7.563000000000001
2185
  - type: ndcg_at_10
2186
- value: 11.304
2187
  - type: ndcg_at_100
2188
- value: 14.526
2189
  - type: ndcg_at_1000
2190
- value: 17.253
2191
  - type: ndcg_at_20
2192
- value: 12.766
2193
  - type: ndcg_at_3
2194
- value: 9.797
2195
  - type: ndcg_at_5
2196
- value: 9.754999999999999
2197
  - type: precision_at_1
2198
- value: 7.563000000000001
2199
  - type: precision_at_10
2200
- value: 1.765
2201
  - type: precision_at_100
2202
- value: 0.378
2203
  - type: precision_at_1000
2204
- value: 0.064
2205
  - type: precision_at_20
2206
- value: 1.261
2207
  - type: precision_at_3
2208
- value: 4.202
2209
  - type: precision_at_5
2210
- value: 2.521
2211
  - type: recall_at_1
2212
- value: 7.002999999999999
2213
  - type: recall_at_10
2214
- value: 16.036
2215
  - type: recall_at_100
2216
- value: 31.302999999999997
2217
  - type: recall_at_1000
2218
- value: 53.010999999999996
2219
  - type: recall_at_20
2220
- value: 21.429000000000002
2221
  - type: recall_at_3
2222
- value: 11.415000000000001
2223
  - type: recall_at_5
2224
- value: 11.415000000000001
2225
  - task:
2226
  type: retrieval
2227
  dataset:
@@ -2232,75 +2232,75 @@ model-index:
2232
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
2233
  metrics:
2234
  - type: map_at_1
2235
- value: 8.341999999999999
2236
  - type: map_at_10
2237
- value: 18.393
2238
  - type: map_at_100
2239
- value: 21.796
2240
  - type: map_at_1000
2241
- value: 21.932
2242
  - type: map_at_20
2243
- value: 20.238999999999997
2244
  - type: map_at_3
2245
- value: 13.386999999999999
2246
  - type: map_at_5
2247
- value: 15.568000000000001
2248
  - type: mrr_at_1
2249
- value: 15.522
2250
  - type: mrr_at_10
2251
- value: 28.386
2252
  - type: mrr_at_100
2253
- value: 29.906
2254
  - type: mrr_at_1000
2255
- value: 29.925
2256
  - type: mrr_at_20
2257
- value: 29.413
2258
  - type: mrr_at_3
2259
- value: 23.707
2260
  - type: mrr_at_5
2261
- value: 26.073
2262
  - type: ndcg_at_1
2263
- value: 15.522
2264
  - type: ndcg_at_10
2265
- value: 26.904
2266
  - type: ndcg_at_100
2267
- value: 39.336
2268
  - type: ndcg_at_1000
2269
- value: 41.244
2270
  - type: ndcg_at_20
2271
- value: 32.04
2272
  - type: ndcg_at_3
2273
- value: 18.34
2274
  - type: ndcg_at_5
2275
- value: 21.29
2276
  - type: precision_at_1
2277
- value: 15.522
2278
  - type: precision_at_10
2279
- value: 9.084
2280
  - type: precision_at_100
2281
- value: 2.1149999999999998
2282
  - type: precision_at_1000
2283
- value: 0.244
2284
  - type: precision_at_20
2285
- value: 6.5009999999999994
2286
  - type: precision_at_3
2287
- value: 13.232
2288
  - type: precision_at_5
2289
- value: 11.552
2290
  - type: recall_at_1
2291
- value: 8.341999999999999
2292
  - type: recall_at_10
2293
- value: 40.553
2294
  - type: recall_at_100
2295
- value: 86.33
2296
  - type: recall_at_1000
2297
- value: 97.24199999999999
2298
  - type: recall_at_20
2299
- value: 56.589999999999996
2300
  - type: recall_at_3
2301
- value: 18.82
2302
  - type: recall_at_5
2303
- value: 26.304
2304
  widget:
2305
  - source_sentence: ما هي أفضل الفنادق في ايبوهبالقرب من Ipoh Parade Shopping Centre؟
2306
  sentences:
@@ -2383,11 +2383,11 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps
2383
 
2384
  ### Model Description
2385
  - **Model Type:** Sentence Transformer
2386
- - **Base model:** [XLM-RoBERTa-base](https://huggingface.co/FacebookAI/xlm-roberta-base)
2387
  - **Maximum Sequence Length:** 512 tokens
2388
  - **Output Dimensionality:** 768 dimensions
2389
  - **Similarity Function:** Cosine Similarity
2390
- - **Training Dataset:** [MS MARCO Hard Negatives](https://sbert.net/examples/training/ms_marco/README.html) (mined by a MiniLM cross-encoder)
2391
  <!-- - **Language:** Unknown -->
2392
  - **License:** MIT
2393
 
 
8
  - dataset_size:2560000
9
  - loss:MultipleNegativesRankingLoss
10
  model-index:
11
+ - name: XLM-RoBERTa-base-MSMARCO-WebFAQ
12
  results:
13
  - task:
14
  type: retrieval
 
20
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
21
  metrics:
22
  - type: map_at_1
23
+ value: 25.374000000000002
24
  - type: map_at_10
25
+ value: 40.863
26
  - type: map_at_100
27
+ value: 42.667
28
  - type: map_at_1000
29
+ value: 42.754999999999995
30
  - type: map_at_20
31
+ value: 41.948
32
  - type: map_at_3
33
+ value: 35.512
34
  - type: map_at_5
35
+ value: 38.385999999999996
36
  - type: mrr_at_1
37
+ value: 38.6
38
  - type: mrr_at_10
39
+ value: 50.489
40
  - type: mrr_at_100
41
+ value: 51.229
42
  - type: mrr_at_1000
43
+ value: 51.248000000000005
44
  - type: mrr_at_20
45
+ value: 50.980000000000004
46
  - type: mrr_at_3
47
+ value: 46.933
48
  - type: mrr_at_5
49
+ value: 48.983
50
  - type: ndcg_at_1
51
+ value: 38.6
52
  - type: ndcg_at_10
53
+ value: 49.257
54
  - type: ndcg_at_100
55
+ value: 55.611999999999995
56
  - type: ndcg_at_1000
57
+ value: 56.946
58
  - type: ndcg_at_20
59
+ value: 52.10399999999999
60
  - type: ndcg_at_3
61
+ value: 41.501
62
  - type: ndcg_at_5
63
+ value: 44.729
64
  - type: precision_at_1
65
+ value: 38.6
66
  - type: precision_at_10
67
+ value: 11.540000000000001
68
  - type: precision_at_100
69
+ value: 1.702
70
  - type: precision_at_1000
71
+ value: 0.189
72
  - type: precision_at_20
73
+ value: 6.795
74
  - type: precision_at_3
75
+ value: 24.3
76
  - type: precision_at_5
77
+ value: 18.16
78
  - type: recall_at_1
79
+ value: 25.374000000000002
80
  - type: recall_at_10
81
+ value: 63.474
82
  - type: recall_at_100
83
+ value: 87.902
84
  - type: recall_at_1000
85
+ value: 96.301
86
  - type: recall_at_20
87
+ value: 72.538
88
  - type: recall_at_3
89
+ value: 43.144
90
  - type: recall_at_5
91
+ value: 51.548
92
  - task:
93
  type: retrieval
94
  dataset:
 
99
  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
100
  metrics:
101
  - type: map_at_1
102
+ value: 26.056
103
  - type: map_at_10
104
+ value: 37.684
105
  - type: map_at_100
106
+ value: 38.616
107
  - type: map_at_1000
108
+ value: 38.66
109
  - type: map_at_20
110
+ value: 38.281
111
  - type: map_at_3
112
+ value: 34.348
113
  - type: map_at_5
114
+ value: 36.181999999999995
115
  - type: mrr_at_1
116
+ value: 27.845
117
  - type: mrr_at_10
118
+ value: 39.275
119
  - type: mrr_at_100
120
+ value: 40.083
121
  - type: mrr_at_1000
122
+ value: 40.115
123
  - type: mrr_at_20
124
+ value: 39.822
125
  - type: mrr_at_3
126
+ value: 36.124
127
  - type: mrr_at_5
128
+ value: 37.885999999999996
129
  - type: ndcg_at_1
130
+ value: 27.845
131
  - type: ndcg_at_10
132
+ value: 44.153
133
  - type: ndcg_at_100
134
+ value: 48.291000000000004
135
  - type: ndcg_at_1000
136
+ value: 49.443
137
  - type: ndcg_at_20
138
+ value: 46.188
139
  - type: ndcg_at_3
140
+ value: 37.448
141
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172
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178
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251
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257
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330
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336
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409
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415
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573
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653
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731
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804
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805
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810
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811
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883
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884
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889
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890
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962
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963
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968
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969
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1041
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1047
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1048
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1120
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1121
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1126
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1127
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1128
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1199
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1200
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1205
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1206
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1284
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1285
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1363
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1364
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  - type: recall_at_1
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  - type: recall_at_100
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  - type: recall_at_1000
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  - type: recall_at_20
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1431
  - type: recall_at_3
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  - type: recall_at_5
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1436
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1437
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1442
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1443
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1444
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1445
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1447
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  - type: map_at_100
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  - type: map_at_1000
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  - type: map_at_20
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  - type: map_at_3
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  - type: map_at_5
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  - type: mrr_at_1
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  - type: mrr_at_1000
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  - type: mrr_at_5
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  - type: ndcg_at_1
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  - type: ndcg_at_10
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  - type: precision_at_100
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  - type: precision_at_1000
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1496
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  - type: precision_at_5
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1500
  - type: recall_at_1
1501
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1502
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1504
  - type: recall_at_100
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  - type: recall_at_1000
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  - type: recall_at_20
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  - type: recall_at_3
1511
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  - type: recall_at_5
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1515
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1516
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1521
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1522
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1523
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1524
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  - type: map_at_100
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  - type: map_at_1000
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1531
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1532
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1533
  - type: map_at_3
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  - type: map_at_5
1536
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  - type: mrr_at_1
1538
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  - type: mrr_at_10
1540
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1541
  - type: mrr_at_100
1542
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1543
  - type: mrr_at_1000
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1545
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1548
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  - type: mrr_at_5
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1553
  - type: ndcg_at_10
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1555
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1557
  - type: ndcg_at_1000
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1559
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1560
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1561
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1563
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1564
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1565
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1566
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1567
  - type: precision_at_10
1568
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1569
  - type: precision_at_100
1570
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1571
  - type: precision_at_1000
1572
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1573
  - type: precision_at_20
1574
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1575
  - type: precision_at_3
1576
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  - type: precision_at_5
1578
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1579
  - type: recall_at_1
1580
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1581
  - type: recall_at_10
1582
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1583
  - type: recall_at_100
1584
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1585
  - type: recall_at_1000
1586
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1587
  - type: recall_at_20
1588
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1589
  - type: recall_at_3
1590
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1591
  - type: recall_at_5
1592
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1593
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1594
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1595
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1600
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
1601
  metrics:
1602
  - type: map_at_1
1603
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1604
  - type: map_at_10
1605
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1606
  - type: map_at_100
1607
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1608
  - type: map_at_1000
1609
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1610
  - type: map_at_20
1611
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1612
  - type: map_at_3
1613
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1614
  - type: map_at_5
1615
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1616
  - type: mrr_at_1
1617
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1618
  - type: mrr_at_10
1619
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1620
  - type: mrr_at_100
1621
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1622
  - type: mrr_at_1000
1623
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1624
  - type: mrr_at_20
1625
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1626
  - type: mrr_at_3
1627
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1628
  - type: mrr_at_5
1629
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1630
  - type: ndcg_at_1
1631
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1632
  - type: ndcg_at_10
1633
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1634
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1635
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1636
  - type: ndcg_at_1000
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1638
  - type: ndcg_at_20
1639
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1640
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1641
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1642
  - type: ndcg_at_5
1643
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1644
  - type: precision_at_1
1645
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1646
  - type: precision_at_10
1647
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1648
  - type: precision_at_100
1649
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1650
  - type: precision_at_1000
1651
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1652
  - type: precision_at_20
1653
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1654
  - type: precision_at_3
1655
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1656
  - type: precision_at_5
1657
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1658
  - type: recall_at_1
1659
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1660
  - type: recall_at_10
1661
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1662
  - type: recall_at_100
1663
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1664
  - type: recall_at_1000
1665
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1666
  - type: recall_at_20
1667
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1668
  - type: recall_at_3
1669
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1670
  - type: recall_at_5
1671
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1672
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1673
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1674
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1679
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
1680
  metrics:
1681
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1682
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1683
  - type: map_at_10
1684
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1685
  - type: map_at_100
1686
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1687
  - type: map_at_1000
1688
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1689
  - type: map_at_20
1690
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1691
  - type: map_at_3
1692
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1693
  - type: map_at_5
1694
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1695
  - type: mrr_at_1
1696
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1697
  - type: mrr_at_10
1698
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1699
  - type: mrr_at_100
1700
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1701
  - type: mrr_at_1000
1702
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1703
  - type: mrr_at_20
1704
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1705
  - type: mrr_at_3
1706
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1707
  - type: mrr_at_5
1708
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1709
  - type: ndcg_at_1
1710
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1711
  - type: ndcg_at_10
1712
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1713
  - type: ndcg_at_100
1714
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1715
  - type: ndcg_at_1000
1716
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1717
  - type: ndcg_at_20
1718
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1719
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1720
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1721
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1723
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1724
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1725
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1726
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1727
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1728
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1729
  - type: precision_at_1000
1730
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1731
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1732
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1733
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1734
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1735
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1736
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1737
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1738
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1739
  - type: recall_at_10
1740
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1741
  - type: recall_at_100
1742
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1743
  - type: recall_at_1000
1744
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1745
  - type: recall_at_20
1746
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1747
  - type: recall_at_3
1748
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1749
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1750
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1751
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1752
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1753
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1758
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1759
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1760
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1761
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1762
  - type: map_at_10
1763
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1764
  - type: map_at_100
1765
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1766
  - type: map_at_1000
1767
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1768
  - type: map_at_20
1769
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1770
  - type: map_at_3
1771
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1772
  - type: map_at_5
1773
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1774
  - type: mrr_at_1
1775
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1776
  - type: mrr_at_10
1777
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1778
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1779
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1780
  - type: mrr_at_1000
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1782
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1783
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1784
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1785
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1786
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1787
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1788
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1789
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1790
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1791
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1793
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1794
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1795
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1796
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1797
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1798
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1799
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1800
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1801
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1802
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1803
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1804
  - type: precision_at_10
1805
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1806
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1807
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1808
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1809
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1810
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1811
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1812
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1813
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1814
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1815
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1816
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1817
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1818
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1819
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1820
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1821
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1822
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1823
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1824
  - type: recall_at_20
1825
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1826
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1827
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1828
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1829
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1830
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1831
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1832
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1837
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
1838
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1839
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1840
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1841
  - type: map_at_10
1842
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1843
  - type: map_at_100
1844
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1845
  - type: map_at_1000
1846
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1847
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1848
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1849
  - type: map_at_3
1850
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1851
  - type: map_at_5
1852
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1853
  - type: mrr_at_1
1854
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1855
  - type: mrr_at_10
1856
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1857
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1858
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1859
  - type: mrr_at_1000
1860
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1861
  - type: mrr_at_20
1862
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1863
  - type: mrr_at_3
1864
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1865
  - type: mrr_at_5
1866
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1867
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1868
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1869
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1870
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1871
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1872
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1873
  - type: ndcg_at_1000
1874
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1875
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1876
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1877
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1878
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1879
  - type: ndcg_at_5
1880
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1881
  - type: precision_at_1
1882
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1883
  - type: precision_at_10
1884
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1885
  - type: precision_at_100
1886
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1887
  - type: precision_at_1000
1888
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1889
  - type: precision_at_20
1890
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1891
  - type: precision_at_3
1892
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1893
  - type: precision_at_5
1894
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1895
  - type: recall_at_1
1896
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1897
  - type: recall_at_10
1898
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1899
  - type: recall_at_100
1900
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1901
  - type: recall_at_1000
1902
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1903
  - type: recall_at_20
1904
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1905
  - type: recall_at_3
1906
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1907
  - type: recall_at_5
1908
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1909
  - task:
1910
  type: retrieval
1911
  dataset:
 
1916
  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
1917
  metrics:
1918
  - type: map_at_1
1919
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1920
  - type: map_at_10
1921
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1922
  - type: map_at_100
1923
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1924
  - type: map_at_1000
1925
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1926
  - type: map_at_20
1927
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1928
  - type: map_at_3
1929
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1930
  - type: map_at_5
1931
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1932
  - type: mrr_at_1
1933
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1934
  - type: mrr_at_10
1935
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1936
  - type: mrr_at_100
1937
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1938
  - type: mrr_at_1000
1939
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1940
  - type: mrr_at_20
1941
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1942
  - type: mrr_at_3
1943
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1944
  - type: mrr_at_5
1945
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1946
  - type: ndcg_at_1
1947
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1948
  - type: ndcg_at_10
1949
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1950
  - type: ndcg_at_100
1951
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1952
  - type: ndcg_at_1000
1953
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1954
  - type: ndcg_at_20
1955
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1956
  - type: ndcg_at_3
1957
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1958
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1959
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1960
  - type: precision_at_1
1961
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1962
  - type: precision_at_10
1963
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1964
  - type: precision_at_100
1965
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1966
  - type: precision_at_1000
1967
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1968
  - type: precision_at_20
1969
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1970
  - type: precision_at_3
1971
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1972
  - type: precision_at_5
1973
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1974
  - type: recall_at_1
1975
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1976
  - type: recall_at_10
1977
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1978
  - type: recall_at_100
1979
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1980
  - type: recall_at_1000
1981
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1982
  - type: recall_at_20
1983
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1984
  - type: recall_at_3
1985
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1986
  - type: recall_at_5
1987
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1988
  - task:
1989
  type: retrieval
1990
  dataset:
 
1995
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
1996
  metrics:
1997
  - type: map_at_1
1998
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1999
  - type: map_at_10
2000
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2001
  - type: map_at_100
2002
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2003
  - type: map_at_1000
2004
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2005
  - type: map_at_20
2006
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2007
  - type: map_at_3
2008
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2009
  - type: map_at_5
2010
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2011
  - type: mrr_at_1
2012
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2013
  - type: mrr_at_10
2014
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2015
  - type: mrr_at_100
2016
+ value: 54.31
2017
  - type: mrr_at_1000
2018
+ value: 54.32599999999999
2019
  - type: mrr_at_20
2020
+ value: 54.057
2021
  - type: mrr_at_3
2022
+ value: 50.637
2023
  - type: mrr_at_5
2024
+ value: 52.525999999999996
2025
  - type: ndcg_at_1
2026
+ value: 40.791
2027
  - type: ndcg_at_10
2028
+ value: 52.144999999999996
2029
  - type: ndcg_at_100
2030
+ value: 57.977000000000004
2031
  - type: ndcg_at_1000
2032
+ value: 59.24
2033
  - type: ndcg_at_20
2034
+ value: 54.864999999999995
2035
  - type: ndcg_at_3
2036
+ value: 45.074
2037
  - type: ndcg_at_5
2038
+ value: 48.504999999999995
2039
  - type: precision_at_1
2040
+ value: 40.791
2041
  - type: precision_at_10
2042
+ value: 11.350999999999999
2043
  - type: precision_at_100
2044
+ value: 1.6039999999999999
2045
  - type: precision_at_1000
2046
  value: 0.178
2047
  - type: precision_at_20
2048
+ value: 6.589
2049
  - type: precision_at_3
2050
+ value: 25.239
2051
  - type: precision_at_5
2052
+ value: 18.526999999999997
2053
  - type: recall_at_1
2054
+ value: 27.747
2055
  - type: recall_at_10
2056
+ value: 66.752
2057
  - type: recall_at_100
2058
+ value: 89.51400000000001
2059
  - type: recall_at_1000
2060
+ value: 97.485
2061
  - type: recall_at_20
2062
+ value: 75.658
2063
  - type: recall_at_3
2064
+ value: 48.393
2065
  - type: recall_at_5
2066
+ value: 56.977
2067
  - task:
2068
  type: retrieval
2069
  dataset:
 
2074
  revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
2075
  metrics:
2076
  - type: map_at_1
2077
+ value: 28.810000000000002
2078
  - type: map_at_10
2079
+ value: 41.803000000000004
2080
  - type: map_at_100
2081
+ value: 42.818
2082
  - type: map_at_1000
2083
+ value: 42.861
2084
  - type: map_at_20
2085
+ value: 42.487
2086
  - type: map_at_3
2087
+ value: 37.719
2088
  - type: map_at_5
2089
+ value: 40.143
2090
  - type: mrr_at_1
2091
+ value: 31.596999999999998
2092
  - type: mrr_at_10
2093
+ value: 43.784
2094
  - type: mrr_at_100
2095
+ value: 44.647
2096
  - type: mrr_at_1000
2097
+ value: 44.681
2098
  - type: mrr_at_20
2099
+ value: 44.385000000000005
2100
  - type: mrr_at_3
2101
+ value: 40.266000000000005
2102
  - type: mrr_at_5
2103
+ value: 42.266
2104
  - type: ndcg_at_1
2105
+ value: 31.596999999999998
2106
  - type: ndcg_at_10
2107
+ value: 48.874
2108
  - type: ndcg_at_100
2109
+ value: 53.285000000000004
2110
  - type: ndcg_at_1000
2111
+ value: 54.398
2112
  - type: ndcg_at_20
2113
+ value: 51.188
2114
  - type: ndcg_at_3
2115
+ value: 41.010000000000005
2116
  - type: ndcg_at_5
2117
+ value: 45.054
2118
  - type: precision_at_1
2119
+ value: 31.596999999999998
2120
  - type: precision_at_10
2121
+ value: 7.747999999999999
2122
  - type: precision_at_100
2123
+ value: 1.008
2124
  - type: precision_at_1000
2125
+ value: 0.11100000000000002
2126
  - type: precision_at_20
2127
+ value: 4.382
2128
  - type: precision_at_3
2129
+ value: 17.619
2130
  - type: precision_at_5
2131
+ value: 12.806999999999999
2132
  - type: recall_at_1
2133
+ value: 28.810000000000002
2134
  - type: recall_at_10
2135
+ value: 68.88
2136
  - type: recall_at_100
2137
+ value: 88.263
2138
  - type: recall_at_1000
2139
+ value: 96.765
2140
  - type: recall_at_20
2141
+ value: 77.647
2142
  - type: recall_at_3
2143
+ value: 48.137
2144
  - type: recall_at_5
2145
+ value: 57.577
2146
  - task:
2147
  type: retrieval
2148
  dataset:
 
2153
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
2154
  metrics:
2155
  - type: map_at_1
2156
+ value: 16.387
2157
  - type: map_at_10
2158
+ value: 23.988
2159
  - type: map_at_100
2160
+ value: 24.65
2161
  - type: map_at_1000
2162
+ value: 24.725
2163
  - type: map_at_20
2164
+ value: 24.310000000000002
2165
  - type: map_at_3
2166
+ value: 21.23
2167
  - type: map_at_5
2168
+ value: 23.093
2169
  - type: mrr_at_1
2170
+ value: 17.647
2171
  - type: mrr_at_10
2172
+ value: 26.144000000000002
2173
  - type: mrr_at_100
2174
+ value: 26.751
2175
  - type: mrr_at_1000
2176
+ value: 26.804
2177
  - type: mrr_at_20
2178
+ value: 26.43
2179
  - type: mrr_at_3
2180
+ value: 23.669
2181
  - type: mrr_at_5
2182
+ value: 25.392
2183
  - type: ndcg_at_1
2184
+ value: 17.647
2185
  - type: ndcg_at_10
2186
+ value: 28.583
2187
  - type: ndcg_at_100
2188
+ value: 31.790000000000003
2189
  - type: ndcg_at_1000
2190
+ value: 33.705
2191
  - type: ndcg_at_20
2192
+ value: 29.669
2193
  - type: ndcg_at_3
2194
+ value: 23.271
2195
  - type: ndcg_at_5
2196
+ value: 26.509
2197
  - type: precision_at_1
2198
+ value: 17.647
2199
  - type: precision_at_10
2200
+ value: 4.79
2201
  - type: precision_at_100
2202
+ value: 0.655
2203
  - type: precision_at_1000
2204
+ value: 0.08499999999999999
2205
  - type: precision_at_20
2206
+ value: 2.6470000000000002
2207
  - type: precision_at_3
2208
+ value: 10.363999999999999
2209
  - type: precision_at_5
2210
+ value: 7.899000000000001
2211
  - type: recall_at_1
2212
+ value: 16.387
2213
  - type: recall_at_10
2214
+ value: 40.476
2215
  - type: recall_at_100
2216
+ value: 55.11200000000001
2217
  - type: recall_at_1000
2218
+ value: 69.538
2219
  - type: recall_at_20
2220
+ value: 44.538
2221
  - type: recall_at_3
2222
+ value: 26.540999999999997
2223
  - type: recall_at_5
2224
+ value: 34.384
2225
  - task:
2226
  type: retrieval
2227
  dataset:
 
2232
  revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
2233
  metrics:
2234
  - type: map_at_1
2235
+ value: 13.971
2236
  - type: map_at_10
2237
+ value: 27.076
2238
  - type: map_at_100
2239
+ value: 30.128
2240
  - type: map_at_1000
2241
+ value: 30.25
2242
  - type: map_at_20
2243
+ value: 28.731
2244
  - type: map_at_3
2245
+ value: 21.029999999999998
2246
  - type: map_at_5
2247
+ value: 23.769000000000002
2248
  - type: mrr_at_1
2249
+ value: 26.717999999999996
2250
  - type: mrr_at_10
2251
+ value: 40.331
2252
  - type: mrr_at_100
2253
+ value: 41.448
2254
  - type: mrr_at_1000
2255
+ value: 41.461999999999996
2256
  - type: mrr_at_20
2257
+ value: 41.103
2258
  - type: mrr_at_3
2259
+ value: 36.302
2260
  - type: mrr_at_5
2261
+ value: 38.414
2262
  - type: ndcg_at_1
2263
+ value: 26.717999999999996
2264
  - type: ndcg_at_10
2265
+ value: 36.744
2266
  - type: ndcg_at_100
2267
+ value: 47.361
2268
  - type: ndcg_at_1000
2269
+ value: 48.869
2270
  - type: ndcg_at_20
2271
+ value: 41.097
2272
  - type: ndcg_at_3
2273
+ value: 28.322000000000003
2274
  - type: ndcg_at_5
2275
+ value: 30.875999999999998
2276
  - type: precision_at_1
2277
+ value: 26.717999999999996
2278
  - type: precision_at_10
2279
+ value: 11.679
2280
  - type: precision_at_100
2281
+ value: 2.2159999999999997
2282
  - type: precision_at_1000
2283
+ value: 0.248
2284
  - type: precision_at_20
2285
+ value: 7.545
2286
  - type: precision_at_3
2287
+ value: 20.102
2288
  - type: precision_at_5
2289
+ value: 16.131999999999998
2290
  - type: recall_at_1
2291
+ value: 13.971
2292
  - type: recall_at_10
2293
+ value: 50.763999999999996
2294
  - type: recall_at_100
2295
+ value: 89.666
2296
  - type: recall_at_1000
2297
+ value: 98.038
2298
  - type: recall_at_20
2299
+ value: 64.1
2300
  - type: recall_at_3
2301
+ value: 27.16
2302
  - type: recall_at_5
2303
+ value: 35.022999999999996
2304
  widget:
2305
  - source_sentence: ما هي أفضل الفنادق في ايبوهبالقرب من Ipoh Parade Shopping Centre؟
2306
  sentences:
 
2383
 
2384
  ### Model Description
2385
  - **Model Type:** Sentence Transformer
2386
+ - **Base model:** [XLM-RoBERTa-base-MSMARCO](https://huggingface.co/anonymous202501/xlm-roberta-base-msmarco)
2387
  - **Maximum Sequence Length:** 512 tokens
2388
  - **Output Dimensionality:** 768 dimensions
2389
  - **Similarity Function:** Cosine Similarity
2390
+ - **Training Dataset:** [WebFAQ Retrieval Dataset](https://huggingface.co/datasets/anonymous202501/webfaq-retrieval)
2391
  <!-- - **Language:** Unknown -->
2392
  - **License:** MIT
2393