A house-price network is trained on 8,000 houses, with 2,000 more held out for validation. After every epoch, early stopping measures the loss on those 2,000 houses. It saves a checkpoint whenever that loss beats the best so far, stops after 5 epochs in a row without a new best, and then restores the best checkpoint. The run is capped at 80 epochs.
The first run's log, at selected epochs:
| epoch | 5 | 10 | 15 | 20 | 23 | 25 | 28 |
|---|---|---|---|---|---|---|---|
| training loss | 0.410 | 0.300 | 0.240 | 0.200 | 0.180 | 0.170 | 0.155 |
| validation loss | 0.430 | 0.330 | 0.280 | 0.260 | 0.255 | 0.262 | 0.275 |
It stopped after epoch 28 and restored the checkpoint from epoch 23, the lowest validation loss it saw.
The team does not like leaving 2,000 houses out of training. For a second run, they add those 2,000 houses to the training set, so the network trains on all 10,000, and change nothing else. Early stopping still measures the loss on the same 2,000 houses, with the same patience and the same 80-epoch cap.
What is the second run most likely to do?
Select all that apply.