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      <title>Why Training Loss Sawtooths Across Epochs</title>
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      <description>Why does training loss creep up within each epoch and drop at the next? Not the optimizer, but what the loss measures: the expected gap since a sample was last trained on follows a sawtooth, and it explains every sampling ablation.</description>
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