Update README.md

README.md

@@ -83,12 +83,12 @@ RAG.search(query="Comment effectuer une recherche avec ColBERT ?", k=10)
 ## Evaluation
 
 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 
-performance with other publicly available 🇫🇷 ColBERT models (as well as one single-vector representation model) fine-tuned on the same dataset. We report the 
-mean reciprocal rank (MRR) and recall at various cut-offs (R@k).
+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 
+at various cut-offs (R@k) and the mean reciprocal rank at cut-off 10 (MRR@10).
 
 | model                                                                                                      | #Param.(↓) |  Size | Dim. | Index | R@1000 | R@500 | R@100 | R@10 | MRR@10 |     
 |:-----------------------------------------------------------------------------------------------------------|-----------:|------:|-----:|------:|-------:|------:|------:|-----:|-------:|
-| **colbertv2-camembert-L4-mmarcoFR**                                                                        |        54M | 0.2GB |   32 |    GB |   91.9 |  90.3 |  81.9 | 56.7 |   32.3 | 
+| **colbertv2-camembert-L4-mmarcoFR**                                                                        |        54M | 0.2GB |   32 |   9GB |   91.9 |  90.3 |  81.9 | 56.7 |   32.3 | 
 | [FraColBERTv2](https://huggingface.co/bclavie/FraColBERTv2)                                                |       111M | 0.4GB |  128 |  28GB |   90.0 |  88.9 |  81.2 | 57.1 |   32.4 |
 | [colbertv1-camembert-base-mmarcoFR](https://huggingface.co/antoinelouis/colbertv1-camembert-base-mmarcoFR) |       111M | 0.4GB |  128 |  28GB |   89.7 |  88.4 |  80.0 | 54.2 |   29.5 |  
 | [biencoder-camembert-base-mmarcoFR](https://huggingface.co/antoinelouis/biencoder-camembert-base-mmarcoFR) |       111M | 0.4GB |  128 |  28GB |      - |  89.1 |  77.8 | 51.5 |   28.5 |