Update README.md

README.md

@@ -66,7 +66,7 @@ This dataset can be used directly with Sentence Transformers to train embedding
 
 The negative samples have been automatically mined with [all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) and:
 * `range_min`: 10, i.e. we skip the 10 most similar samples
-* `range_max`: 20, i.e. we only look at the top 20 most similar samples
+* `range_max`: 50, i.e. we only look at the top 50 most similar samples
 * `margin`: 0, i.e. we require negative similarity + margin < positive similarity, so negative samples can't be more similar than the known true answer
 * `sampling_strategy`: "random", i.e. we randomly sample from the candidate negatives rather than taking the "top" negatives
 * `num_negatives`: 5, i.e. we mine 5 negatives per question-answer pair