The example does the following:
- Trains text classification networks on the Keras built-in IMDB dataset, using the autokeras TextClassifier class, and searches for the best model.
- Uses two TensorBoard callbacks, one for training and one for testing.
- ClearML automatically logs everything the code sends to TensorBoard.
- Creates an experiment named
autokeras imdb example with scalars, which is associated with the
The loss and accuracy metric scalar plots appear in SCALARS, along with the resource utilization plots, which are titled :monitor: machine.
ClearML automatically logs TensorFlow Definitions. They appear in CONFIGURATION > HYPER PARAMETERS > TF_DEFINE.
Text printed to the console for training progress, as well as all other console output, appear in CONSOLE.
Models created by the experiment appear in the experiment’s ARTIFACTS tab.
Clicking on the model's name takes you to the model’s page, where you can view the model’s details and access the model.