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LLMs-from-scratch/ch05/05_bonus_hparam_tuning/README.md
Sebastian Raschka 790d0808b2 Organized setup instructions (#115) 
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Optimizing Hyperparameters for Pretraining

The hparam_search.py script, based on the extended training function in Appendix D: Adding Bells and Whistles to the Training Loop, is designed to find optimal hyperparameters via grid search.

Note

This script will take a long time to run. You may want to reduce the number of hyperparameter configurations explored in the HPARAM_GRID dictionary at the top.