You may find it useful to tag your Cloud jobs with specific labels, or to stream your model's logs during Cloud training. It's good practice to maintain proper labeling on all Cloud jobs, for record-keeping. For this purpose, run() accepts a dictionary of labels up to 64 key-value pairs, which are visible from the Cloud build logs. Logs such as epoch performance and model saving internals can be accessed using the link provided by executing tfc.run or printed to your local terminal using the stream_logs flag.