Pretrain Vision and Large Language Models in Python by Emily Webber

Author:Emily Webber
Language: eng
Format: epub
Publisher: Packt Publishing Pvt Ltd
Published: 2023-05-29T00:00:00+00:00

Figure 7.3 – Defining a tuning metric for the job config

You can see we’re asking you to write a regex string and supply that in this object. This then should directly match what is defined in the training script here:

Figure 7.4 – Defining a tuning metric in your training script

For good measure, here’s a visual of the hyperparameter ranges so you can see how they’re defined:

Figure 7.5 – Defining hyperparameter ranges

We have another method I think is particularly well designed. It lets you run analytics on your tuning job by porting it into a pandas DataFrame! The notebook for this is here (6):

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