title: tensorboard does not show accuracy and loss plot on validation set
body: <p>I'm new to machine learning, I'm trying to make an image classifier, the model is training correctly but the problem is on tensorboard, how to visualize the plot of loss and accuracy on the validation set? The only thing you see is the loss and accuracy on the test set</p>
  
  <pre><code>model.compile(loss='categorical_crossentropy',
                                  optimizer='adam',
                                  metrics=['accuracy'])
  model.fit(X, y, batch_size=32, epochs=5, validation_split=0.3, callbacks=[tensorboard])
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/7rQxC.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/7rQxC.jpg" alt="enter image description here"></a></p>