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different training FLOP counts (ranging from 10¹⁸ to 10²¹ FLOPs). This approach answers the question “For a given FLOP budget, what is the optimal parameter count?”. While training they suggest that for a model with over 𝐷 tokens, a cosine cycle length that decays 10× over approximately 𝐷 tokens is