lancopku / cascadebert Goto Github PK
View Code? Open in Web Editor NEWCode for CascadeBERT, Findings of EMNLP 2021
License: MIT License
Code for CascadeBERT, Findings of EMNLP 2021
License: MIT License
Good work! I'm very interested in your Difficulty-Aware Regularization. And I have read the paper.
But I have some questions about the part:
1. The input of classification task should be single. How do you add a difficulty-based margin objective(L(xi, xj)) that needs instance pair to final loss?
2. When training models from n complete pre-trained and fine-tuned models {M1,.....,Mn}, should all models be trained? And should the loss of each model add the difficulty-based margin objective?
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