Update README.md

README.md

@@ -182,7 +182,30 @@ You can finetune this model on your own dataset.
 
 *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
 -->
+## Evaluation
 
+### Metrics
+
+#### Information Retrieval
+
+* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) on [ir-eval](https://huggingface.co/datasets/tintnguyen/ir-eval/tree/main)
+```
+{'aaaaa_cosine_accuracy@1': 0.63,
+ 'aaaaa_cosine_accuracy@3': 0.7802,
+ 'aaaaa_cosine_accuracy@5': 0.8281,
+ 'aaaaa_cosine_accuracy@10': 0.8822,
+ 'aaaaa_cosine_precision@1': 0.63,
+ 'aaaaa_cosine_precision@3': 0.4519333333333333,
+ 'aaaaa_cosine_precision@5': 0.37512,
+ 'aaaaa_cosine_precision@10': 0.28753,
+ 'aaaaa_cosine_recall@1': 0.13777929675306055,
+ 'aaaaa_cosine_recall@3': 0.24131449086140638,
+ 'aaaaa_cosine_recall@5': 0.29659234974950643,
+ 'aaaaa_cosine_recall@10': 0.3865740651558402,
+ 'aaaaa_cosine_ndcg@10': 0.4835411072398472,
+ 'aaaaa_cosine_mrr@10': 0.7153021428571383,
+ 'aaaaa_cosine_map@100': 0.3784947452420437}
+```
 ## Training Details
 
 ### Training Dataset