Repeated measures experiment on small LM training shows validation loss drops then rises under fixed token budget with significant interval effects and recurrent backslides.
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A Quantitative Experimental Repeated Measures Study of Training Dynamics in a Small Llama Style Language Model Under a Compute-Aware Token Budget
Repeated measures experiment on small LM training shows validation loss drops then rises under fixed token budget with significant interval effects and recurrent backslides.