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Aug 20, 2026 · Artificial Intelligence

Why a Decreasing Loss Isn't Enough: Critical Logs and Metrics for Large‑Model Training

In large‑model training, a smooth loss decline is only a necessary condition; the article explains which additional logs—learning‑rate, gradient norm, parameter updates, validation metrics, throughput, GPU usage, and checkpoint status—must be monitored and how to diagnose common issues with concrete code examples.