Plotting Metrics:

• You can use libraries like matplotlib or seaborn to plot these metrics.
• Below is a basic example using matplotlib:

import matplotlib.pyplot as plt

epochs = range(1, len(train_loss) + 1)

# Plotting training and validation loss
plt.plot(epochs, train_loss, 'b', label='Training loss')
plt.plot(epochs, val_loss, 'r', label='Validation loss')
plt.title('Training and Validation Loss')
plt.xlabel('Epochs')
plt.ylabel('Loss')
plt.legend()
plt.show()

# Plotting training and validation accuracy (if applicable)
plt.plot(epochs, train_accuracy, 'b', label='Training accuracy')
plt.plot(epochs, val_accuracy, 'r', label='Validation accuracy')
plt.title('Training and Validation Accuracy')
plt.xlabel('Epochs')
plt.ylabel('Accuracy')
plt.legend()
plt.show()