Closed CarolinaFurtado closed 3 years ago
Added a --metric-checkpoint argument, default to 'loss' that controls based on what variable, a trained model is saved
if 'loss' is selected:
if val_loss is selected:
if nothing is selected, default to loss:
Added a --metric-checkpoint argument, default to 'loss' that controls based on what variable, a trained model is saved
if 'loss' is selected:
if val_loss is selected:
if nothing is selected, default to loss: