A machine learning practitioner is facing challenges with hyperparameter optimization (HPO) for large models that require a full day to train. To make HPO feasible, they are reducing the number of training epochs, which raises concerns about parameter drift and suboptimal optimization for full training runs. The user is also questioning the effectiveness of pruning methods, suspecting they might favor faster convergence over achieving higher accuracy. AI
RANK_REASON This is a user question on a forum about a technical challenge, not a news event.
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