The fine_tuning.job object represents a fine-tuning job that has been created through the API.

For fine-tuning jobs that have failed, this will contain more information on the cause of the failure.

The hyperparameters used for the fine-tuning job. See the fine-tuning guide for more details.

The fine_tuning.job.checkpoint object represents a model checkpoint for a fine-tuning job that is ready to use.

Metrics at the step number during the fine-tuning job.

Fine-tuning job event object

The settings for your integration with Weights and Biases. This payload specifies the project that metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags to your run, and set a default entity (team, username, etc) to be associated with your run.

The hyperparameters used for the fine-tuning job.

The settings for your integration with Weights and Biases. This payload specifies the project that metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags to your run, and set a default entity (team, username, etc) to be associated with your run.