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LLMs-from-scratch/ch05/05_bonus_hparam_tuning
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Sebastian Raschka 40ba3a4068 Remove leftover instances of self.tokenizer (#201) 
* Remove leftover instances of self.tokenizer

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hparam_search.py
fix learning rate scheduler
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previous_chapters.py
Remove leftover instances of self.tokenizer (#201)
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README.md
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README.md

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.