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I made a gpt2 script to generate the training data following your paper, but it did badly in qnli task, different to CTRL, the filtering rule is not suitable for gpt2, but I can't handle the rule myself.
Thank you.
The text was updated successfully, but these errors were encountered:
We have only used GPT-2 for generation on MNLI and SST-2 tasks, but the code adaptation for other tasks should be straightforward. You do need to change a few places like removing the control codes used in CTRL and how the termination of a generated sequence is determined -- this can be done by using certain punctuation marks based on the generation patterns of GPT-2 on the target task.
I made a gpt2 script to generate the training data following your paper, but it did badly in qnli task, different to CTRL, the filtering rule is not suitable for gpt2, but I can't handle the rule myself.
Thank you.
The text was updated successfully, but these errors were encountered: