Pause a fine-tune job.
Authorizations
Path Parameters
The ID of the fine-tuning job to pause.
Query Parameters
The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
v1, preview Response
The request has succeeded.
The fine_tuning.job object represents a fine-tuning job that has been created through the API.
The object identifier, which can be referenced in the API endpoints.
The Unix timestamp (in seconds) for when the fine-tuning job was created.
For fine-tuning jobs that have failed, this will contain more information on the cause of the failure.
The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running.
The Unix timestamp (in seconds) for when the fine-tuning job was finished. The value will be null if the fine-tuning job is still running.
The hyperparameters used for the fine-tuning job. This value will only be returned when running supervised jobs.
The base model that is being fine-tuned.
The object type, which is always "fine_tuning.job".
fine_tuning.job The organization that owns the fine-tuning job.
The current status of the fine-tuning job, which can be either validating_files, queued, running, succeeded, failed, or cancelled.
validating_files, queued, running, succeeded, failed, cancelled The total number of billable tokens processed by this fine-tuning job. The value will be null if the fine-tuning job is still running.
The seed used for the fine-tuning job.
Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.
Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.
The descriptive suffix applied to the job, as specified in the job creation request.
A list of integrations to enable for this fine-tuning job.
The Unix timestamp (in seconds) for when the fine-tuning job is estimated to finish. The value will be null if the fine-tuning job is not running.
The method used for fine-tuning.