Early stopping based on average val_loss of last ten epoches and with some n partiences

Question

Early stopping based on average val_loss of last ten epoches and with some n partiences

prashanta_himalay

2022年4月19日 04:05

I am training a DNN with CNN in Keras. Though, I can write an EarlyStopping criteria based on val_loss but due to minor oscillations in the val_loss, I want to monitor the average validation loss over last n epoches and with n patience.

How can I do this in Keras?

Topic early-stopping multi-output keras tensorflow loss-function

Category Data Science

Aritra Roy gosthipaty · Accepted Answer · 2021年11月25日 06:50

1

Aritra Roy gosthipaty answered at 2021年11月25日 06:50

You can always write a custom callback inheriting the tf.keras.callbacks.Callback() class. You would need to override the on_epoch_end() method with your custom logic.

Early stopping based on average val_loss of last ten epoches and with some n partiences

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