Update README.md

README.md

@@ -31,7 +31,8 @@ For a version fine-tuned specifically for code search tasks, please refer to [Sh
 * Fine-tuning: Domain-specific code tasks
 
 The results below were obtained by randomly sampling 10,000 examples per language from the CodeSearchNet dataset, training them in a Sentence-BERT fashion, and evaluating on the MTEB CodeSearchNetRetrieval benchmark.
-All models listed in the table below were fine-tuned using the same approach. Those marked with 200 and the Finch models were trained with a Multiple Negatives Ranking Loss batch size of 200. Others were trained with a batch size of 40 (because larger batches could not fit into memory).
+All models listed in the table below were fine-tuned using the same approach. Those marked with 200 and the Finch models were trained with a Multiple Negatives Ranking Loss batch size of 200. Others were trained with a batch size of 40 (because larger batches could not fit into memory).\
+Finch-SmallBatch was trained with a smaller batch size of 40 to create a comparison model against the standard Finch models trained with batch size 200.
 
 | Model                              | go    | java  | javascript | php   | python | ruby  |
 | ---------------------------------- | ----- | ----- | ---------- | ----- | ------ | ----- |