Unverified50% confidenceFactExact time
When saving checkpoints during distributed training, the data loader state and random seeds must also be saved; otherwise, after recovery the data order and augmentation results will be inconsistent, making training irreproducible.
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50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
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