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Update README.md

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@@ -83,7 +83,7 @@ RAG.search(query="Comment effectuer une recherche avec ColBERT ?", k=10)
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  ## Evaluation
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  The model is evaluated on the smaller development set of mMARCO-fr, which consists of 6,980 queries for a corpus of 8.8M candidate passages. Below, we compared its
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- performance with other publicly available 🇫🇷 ColBERT models (as well as one single-vector representation model) fine-tuned on the same dataset. We report the recall
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  at various cut-offs (R@k) and the mean reciprocal rank at cut-off 10 (MRR@10).
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  | model | #Param.(↓) | Size | Dim. | Index | R@1000 | R@500 | R@100 | R@10 | MRR@10 |
 
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  ## Evaluation
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  The model is evaluated on the smaller development set of mMARCO-fr, which consists of 6,980 queries for a corpus of 8.8M candidate passages. Below, we compared its
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+ performance with other publicly available French ColBERT models (as well as one single-vector representation model) fine-tuned on the same dataset. We report the recall
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  at various cut-offs (R@k) and the mean reciprocal rank at cut-off 10 (MRR@10).
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  | model | #Param.(↓) | Size | Dim. | Index | R@1000 | R@500 | R@100 | R@10 | MRR@10 |