Research
Study tests whether truncated backpropagation hurts looped transformer scaling
Across nearly 600 training runs, a fitted scaling law favors full backpropagation through time over truncation when loop counts are jointly optimized. Two fully trained loops were identified as the best looped setting, with about 27% fewer non-embedding parameters and 8% more training compute than…
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Hugging Face PapersResearchLead
Truncate or Not? A Scaling Study of Looped Transformers with Truncated Backpropagation