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Quantitative Finance · Glossary

What is Training checkpoint?

Definition 23.5 Machine Learning for Markets · Chapter 23 — Training Infrastructure

A training checkpoint is a saved state from which a run can continue as if it had not stopped: the model’s parameters, the optimiser’s state (moment estimates, step counts), the data sampler’s position and random state, the random generators’ states and the step count.

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