Query related to finetuning bert models for QA
When we run run_qa.py on bert-base using squad data and once again fine tune it on custom data, will it retrain all the layers? or will it train only the last layer(head) freezing the other layers ? please explain the kind of finetuning done with run_qa.py
Please use the [forums](https://discuss.huggingface.co/) for such questions as we keep issues for bugs and feature requests only.<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.