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Tag: training-metrics

2026.10.11 ID: 773

An ML Experience: The Measuring Devil in Disguise

What a stubborn training log taught me about measuring before tuning I learned this one the slow way: most “stuck” models were never moving in the first place. I spent days staring at a training log that refused to budge. Validation loss bouncing in a narrow band, accuracy wobbling literally around the same values, epoch […]

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