title: Tensorflow TensorBoard not showing acc, loss, acc_val, and loss_val only only epoch_accuracy and epoch_loss
body: <p>I am looking to have a TensorBoard display graphs corresponding to acc, loss, acc_val, and loss_val but they do not appear for some reason. Here is what I am seeing. </p>
  
  <p><a href="https://i.stack.imgur.com/H0G7T.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/H0G7T.png" alt="enter image description here"></a></p>
  
  <p>I am looking to have this: 
  <a href="https://i.stack.imgur.com/Ipwpi.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Ipwpi.png" alt="enter image description here"></a></p>
  
  <p>I am following the instruction <a href="https://www.dlology.com/blog/quick-guide-to-run-tensorboard-in-google-colab/#disqus_thread" rel="nofollow noreferrer">here</a> to be able to use tensorboard in a google colab notebook</p>
  
  <p>This is the code used to generate the tensorboard: </p>
  
  <pre><code>opt = tf.keras.optimizers.Adam(lr=0.001, decay=1e-6)
  
  tensorboard = TensorBoard(log_dir="logs/{}".format(NAME), 
                            histogram_freq=1, 
                            write_graph=True, 
                            write_grads=True, 
                            batch_size=BATCH_SIZE, 
                            write_images=True)
  
  model.compile(
      loss='sparse_categorical_crossentropy',
      optimizer=opt,
      metrics=['accuracy']
  )
  
  # Train model
  history = model.fit(
       train_x, train_y,
       batch_size=BATCH_SIZE,
       epochs=EPOCHS,
       validation_data=(validation_x, validation_y),
       callbacks=[tensorboard]
  )
  </code></pre>
  
  <p>How do I go about solving this issue? Any ideas? Your help is very much appreciated!</p>