Example Usage:

history = model.fit(X_train, y_train, epochs=10, validation_data=(X_val, y_val))

# Accessing training and validation loss over epochs
train_loss = history.history['loss']
val_loss = history.history['val_loss']

# Accessing training and validation accuracy over epochs (if applicable)
train_accuracy = history.history['accuracy']
val_accuracy = history.history['val_accuracy']