@@ -353,7 +353,7 @@ Step>3, Generator loss : 1.941e+05
```
By default, the model is trained for 100 epochs (see ```hyperparameters.json```) but it includes an ```EarlyStopping``` mechanism (See the paper methods section for details) governed by the ```patience``` parameters (see ```hyperparameters.json```).
You can stop the training at anytime. The best checkpoints of your model is available in the ```experiments/metrology_experiment/results/networks/``` directory.
You can stop the training at anytime. The best checkpoint of your model is available in the ```experiments/metrology_experiment/results/networks/``` directory.
If the training stops because it has reached the maximum number of epochs defined into the ```hyperparameters.json``` configuration file, and you want to continue training your model for more epochs, you can use the ```--retrain``` parameters to resume the training where it stops:
