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According to your code in task_distill.py, the evaluation on MNLI-mm dataset will overwrite the original dev loader of MNLI-m, thus the best checkpoints are selected based on the MNLI-mm instead of the MNLI-m.
The text was updated successfully, but these errors were encountered:
@TobiasLee Have you ever encountered a situation where mnli task acc remains unchanged?
They may not encounter this issue if they use older versions of transformers instead of dataset lib to fine tune the Teacher. I’ve solved this here: #229
According to your code in
task_distill.py
, the evaluation on MNLI-mm dataset will overwrite the original dev loader of MNLI-m, thus the best checkpoints are selected based on the MNLI-mm instead of the MNLI-m.The text was updated successfully, but these errors were encountered: