Code for ACL 2022 paper "BERT Learns to Teach: Knowledge Distillation with Meta Learning".

Since the release of this paper on arXiv, we have received a lot of requests for the code. Thus, we want to first release the code without cleaning up. We know implementing a second-order approach is non-trivial so we want to help you but please note that the current code may contain bugs, useless codes, incorrect settings etc. Please use at your own risk. We'll later verify the code and clean it up once we have the chance to do so.

The implementation of image classification is based on https://github.com/HobbitLong/RepDistiller

The implementation of text classification is based on https://github.com/bzantium/pytorch-PKD-for-BERT-compression

Shout out to the authors of these two repos.

To be added. For now, please see /nlp/run_glue_distillation_meta.py and /cv/train_student_meta.py.