I am using the below Keras policy while training the model.
policies: - name: KerasPolicy epochs: 100 max_history: 5 priority: 1 batch_size: 100 validation_split: 0.2
As per documentation validation_split, 0.2 means that 80% of the data is used to train the model and the rest 20% will be used to test the model.
So the loss and acc are calculated using 20% of the dataset.
Will the final model will have the 20% dataset also as we are using it for testing in the train to measure how the model performs for unseen data? if not then we are losing the 20% data and it’s a big risk? we want 100% of data (intent) to train the model.
Please tell me if my understanding is correct.