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@@ -21,15 +21,15 @@ Model name: `passage-ranker.strawberry`
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  The model was trained and tested in the following languages:
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- - Chinese (simplified)
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- - Dutch
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  - English
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  - French
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  - German
 
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  - Italian
 
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  - Japanese
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  - Portuguese
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- - Spanish
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  Besides the aforementioned languages, basic support can be expected for additional 91 languages that were used during the pretraining of the base model (see Appendix A of [XLM-R paper](https://arxiv.org/abs/1911.02116)).
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@@ -118,8 +118,8 @@ We evaluated the model on the datasets of the [MIRACL benchmark](https://github.
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  | Language | NDCG@10 |
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  |:----------------------|--------:|
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- | Chinese (simplified) | 0.414 |
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  | French | 0.382 |
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  | German | 0.320 |
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- | Japanese | 0.479 |
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  | Spanish | 0.418 |
 
 
 
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  The model was trained and tested in the following languages:
23
 
 
 
24
  - English
25
  - French
26
  - German
27
+ - Spanish
28
  - Italian
29
+ - Dutch
30
  - Japanese
31
  - Portuguese
32
+ - Chinese (simplified)
33
 
34
  Besides the aforementioned languages, basic support can be expected for additional 91 languages that were used during the pretraining of the base model (see Appendix A of [XLM-R paper](https://arxiv.org/abs/1911.02116)).
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  | Language | NDCG@10 |
120
  |:----------------------|--------:|
 
121
  | French | 0.382 |
122
  | German | 0.320 |
 
123
  | Spanish | 0.418 |
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+ | Japanese | 0.479 |
125
+ | Chinese (simplified) | 0.414 |