I am training a classifier with TAO and the log outputs the following values: acc, loss, lr, val_acc, val_loss. But when I am visualising using TensorBoard, I am missing the validation accuracy. The training accuracy is present but is kind of useless when watching for overfitting.
Is it an omission from the TAO team? It doesn’t seem like I can do anything to add it.