Learn-by-Wire Training Control Governance: Bounded Autonomous Training Under Stress for Stability and Efficiency

In three linesLearn-by-Wire Guard (LBW-Guard) is an autonomous governance layer that supervises the AdamW optimizer during language-model training. Tested on Qwen2.5-7B with WikiText-103, LBW-Guard reduces final perplexity from 13.21 to 10.74 (−18.7%) and accelerates training by 1.10×. Under extreme learning-rate stress (LR=3e-3), AdamW fails (perplexity 1885.24) while LBW-Guard remains stable (11.57).

Summary generated by Claude — human-verified