'Shared Loss for Multitasking Model
I am currently training a multitasking classification model.
When I training the model, I can see there are two loss metrics for my two classification output which are species_loss and also diseases_loss but what I am curious about is why there is another loss metric named val_loss? Is that a shared loss between species_loss and diseases_loss? Is it ok to directly set my earlystopping monitor on that val_loss metrics?
Epoch 1/100
100/100 [==============================] - 134s 1s/step - loss: 0.5361 - species_loss: 0.1241 - diseases_loss: 0.4120 - species_accuracy: 0.9781 - diseases_accuracy: 0.9022 - val_loss: 2.9369 - val_species_loss: 0.1653 - val_diseases_loss: 2.7716 - val_species_accuracy: 0.9494 - val_diseases_accuracy: 0.5863
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|