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Currently, the augmentation step will load all parameter values to memory, which could be an issue for some cases like QA over Wikidata. We could either use mmap or do a pre-sampling over the dataset.
The text was updated successfully, but these errors were encountered:
gcampax
added
bug
Something isn't working
training
Issues with dataset generation, augmentation, training
P2
We need to fix it (backlog)
labels
Sep 12, 2021
Currently, the augmentation step will load all parameter values to memory, which could be an issue for some cases like QA over Wikidata. We could either use mmap or do a pre-sampling over the dataset.
The text was updated successfully, but these errors were encountered: