Evaluating the tuning experiment
When the experiment is finished, a loss function graph is displayed that illustrates the improvement in the model output over time. The epochs are shown on the x-axis and a measure of the difference between predicted and actual results per epoch is shown on the y-axis. The value that is shown per epoch is calculated from the average gradient value from all of the accumulation steps in the epoch.
For more information about how to evaluate the results, see Evaluating the results of a tuning experiment.
When you are satisfied with the tuning experiment results, deploy the tuned foundation model. For more information, see Deploying a tuned model.
Running a tuning experiment again
To rerun a tuning experiment, complete the following steps:
- From the project's Assets page, filter your assets by the Tuning experiments asset type.
- Find and open your tuning experiment asset, and then click New tuned model.
The loss function for the tuning experiment is shown in the same graph with loss functions from previous runs so that you can compare them.
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Parent topic: Tuning a foundation model