Update README.md

README.md

@@ -15,4 +15,14 @@ The model is initialized from the [bert-base-spanish-wwm-uncased](https://huggin
 #### Data
 
 The model is fine-tuned on the Spanish version of the [mMARCO](https://huggingface.co/datasets/unicamp-dl/mmarco) dataset, a multi-lingual machine-translated version of the MS MARCO dataset.
-The triples are sampled from the ~39.8M triples of [triples.train.small.tsv](https://microsoft.github.io/msmarco/Datasets.html#passage-ranking-dataset)
+The triples are sampled from the ~39.8M triples of [triples.train.small.tsv](https://microsoft.github.io/msmarco/Datasets.html#passage-ranking-dataset)
+
+## 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 to a 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).
+
+| model                                                                                                                   |  Vocab. | #Param. |  Size |   MRR@10 |   R@50 |  R@1000 |
+|:------------------------------------------------------------------------------------------------------------------------|:--------|--------:|------:|---------:|-------:|--------:|
+| **ColBERTv1.0-bert-based-spanish-mmarcoES**                                                                             | spanish |    110M | 443MB |    24.70 |  59,23 |   63.86 |
+
+