I am doing binary classification using CNN and viewing the results using tensorboard. The problem is that the tensorboard is not showing the loss and accuracy for training data.
As seen curves for training data are not shown
Data Science Stack Exchange is a question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field. It only takes a minute to sign up.Sign up to join this community
It is hard to know what is happening from just that screenshot and no code.
The training and validation plots are usually separated on the page, not lines on the same graph.
If you are using Tensorflow 2.0, there is a known issue, regarding the syncing of TB and the
tfevent file (where logs are stored). A couple of things to try:
TensorBoardcallback with the argument:
I am referring to the
tf.keras.callbacks.TensorBoard( log_dir='logs', update_freq='epoch', profile_batch=0, # <-- default value is 2 )