Update README.md

README.md

@@ -14,7 +14,7 @@ Introducing Bloomz-560m-retriever based on the Bloomz-560m-sft-chat model. This
 Training
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-It is a bi-encoder trained on a corpus of context/query pairs, with 50% in English and 50% in French. The language distribution for queries and contexts is evenly split (1/4 French-French, 1/4 French-English, 1/4 English-French, 1/4 English-English). The learning objective is to bring the embedding representation of queries and associated contexts closer using a contrastive method. The loss function is defined as [rr]:
+It is a bi-encoder trained on a corpus of context/query pairs, with 50% in English and 50% in French. The language distribution for queries and contexts is evenly split (1/4 French-French, 1/4 French-English, 1/4 English-French, 1/4 English-English). The learning objective is to bring the embedding representation of queries and associated contexts closer using a contrastive method. The loss function is defined in [Deep Metric Learning using Triplet Network](https://arxiv.org/abs/1412.6622).
 
 Benchmark
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