Keras Early Stopping Monitor Options (Validation vs Training loss)
Keras EarlyStopping callback interrupts training once a target metric has stopped improving for a fixed number of epochs. For instance, this callback allows you to interrupt training as soon as you start overfitting, thus avoiding having to retrain your model for a smaller number of epochs.
Fix RuntimeError: mat1 and mat2 shapes cannot be multiplied.
The shape mismatch is raised in the first linear layer of self.out as it’s expecting an input activation with 1050 features while the actual activation has 1568 features. Change the in_features of this linear layer to 1568 and it should work.