Explain the tradeoff between using all of the data versus early stopping to determine the optimal number of steps for training. Propose an alternative strategy that balances model performance with production constraints.

Using all of the data can improve model performance but may lead to longer training times and impact production deployment schedules. An alternative is to use a combination of both approaches: train on a subset of the data using early stopping, then fine-tune on the remaining data using a smaller learning rate. This balances model performance with production constraints.