Loss curves show the right inductive bias buys a large training efficiency gap
mike64_t · x · 2026-10-26
The author shares a loss-curve comparison with the observation that "sometimes the only thing that's missing is the right inductive bias in one's architecture." Three runs start similarly, but the red curve drops to 0.029 within 4k steps, the blue reaches 0.032 by 28k, while the orange stays above 0.04 past 40k steps — under identical data and compute, architecture priors alone yield a large gap in convergence speed and final loss.
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