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There are many versions of the LoRD method in the ‘lord_train.py’, such as LoRD-III, LoRD-IV, LoRD-V, etc. What are the differences between these different versions? In addition, the vanilla method is not reflected in the paper. What is this method?
The text was updated successfully, but these errors were encountered:
They are different loss functions we have tested. You can use LoRD-VI, which can be seen as the final version of LoRD. vanilla denotes the MLE in the paper.
Thanks for your feedback. We will clean our repository recently~
There are many versions of the LoRD method in the ‘lord_train.py’, such as LoRD-III, LoRD-IV, LoRD-V, etc. What are the differences between these different versions? In addition, the vanilla method is not reflected in the paper. What is this method?
The text was updated successfully, but these errors were encountered: