AnswerDotAI / AnswerDotAI/ModernBERT

Question about MLDR Evaluation Metrics in ModernBERT Paper

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Hi, I'm working with the MLDR dataset and trying to reproduce the results from the ModernBERT paper. In Table 3, they report an MLDR-EN score of 44.0 for their model, but I'm getting different metrics (for MLDRO_OD):

MRR@10: 0.746
NDCG@10: 0.781
Accuracy@1: 0.670
MAP@10: 0.746
This is after training on MS MARCO and evaluating on MLDR-EN dev set. I'm using the InformationRetrievalEvaluator from sentence-transformers.

Could someone clarify:

Which metric was used for the 44.0 score in the paper?
Is there a specific evaluation setup I should be using for MLDR?
Thanks in advance!

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