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I noticed that the loss function of the inner loop shoulde be binary cross entropy loss but in demo it was assigned as MSEloss, I wonder is it has a side effect on the final result.
Additionally, I've noted that the 'o_model', which was referenced in #1 and utilized in the inner loop, is trained with a poison rate of 0.1, while the 'train_dataset' in the demo has a poison rate of 0.05. My understanding is that the 'o_model' should be trained on the same poisoned 'train_dataset'. However, it appears that they are not identical. I'm wondering if this discrepancy could also influence the final results.
The text was updated successfully, but these errors were encountered:
Thanks for sharing your amazing work!
I noticed that the loss function of the inner loop shoulde be binary cross entropy loss but in demo it was assigned as MSEloss, I wonder is it has a side effect on the final result.
Additionally, I've noted that the 'o_model', which was referenced in #1 and utilized in the inner loop, is trained with a poison rate of 0.1, while the 'train_dataset' in the demo has a poison rate of 0.05. My understanding is that the 'o_model' should be trained on the same poisoned 'train_dataset'. However, it appears that they are not identical. I'm wondering if this discrepancy could also influence the final results.
The text was updated successfully, but these errors were encountered: