title: Name of Metrics on Tensorboard
body: <p>I am trying to log the training loss metrics on Tensorboard. Down here, I have put part of the code that I am using.</p>
  <pre><code>model.compile(optimizer=opt,
                loss=[loss_function],
                metrics=[loss_without_regularization, bbox_loss, class_loss, conf_loss])
  model.fit(data_generator, epochs=EPOCH, steps_per_epoch=nbatches_train, callbacks=cb)
  </code></pre>
  <p>The code works fine and it plots the metrics like the following picture. But there is one issue and that is with the naming. As you can see in the blue box, it adds extra <code>epoch_</code> to the beginning of the name of the metric and I don't want that to happen. Why I don't like it? Because that will lead to creation of separate plots for training and validation curves since validation curve doesn't have <code>epoch_</code>. I want both training and validation metrics to be in the same plot but since tensorboard adds <code>epoch_</code> to the beginning of the name of training metrics, it leads to generating separate plots for training and validation metrics. Also, I am pointing tensorboard at the directory containing the tensorflow events for train and validations events so that they could be superimposed on the top of each other.</p>
  <p><a href="https://i.stack.imgur.com/5kDRR.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/5kDRR.png" alt="enter image description here" /></a></p>