Pause Fine Tuning Job

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Pause a fine-tune job.

Options

Fine Tuning Job Id
The ID of the fine-tuning job to pause.
Result Format

Specify how the response should be mapped to the table output. The following formats are available:

Structured Table: Returns a parsed table with data split into rows and columns.

  • Id: The object identifier, which can be referenced in the API endpoints.
  • Created At: The Unix timestamp (in seconds) for when the fine-tuning job was created.
  • Error: For fine-tuning jobs that have failed, this will contain more information on the cause of the failure.
  • Fine Tuned Model: The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running.
  • Finished At: 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.
  • Hyperparameters: The hyperparameters used for the fine-tuning job. This value will only be returned when running supervised jobs.
  • Model: The base model that is being fine-tuned.
  • Object: The object type, which is always "fine_tuning.job".
  • Organization Id: The organization that owns the fine-tuning job.
  • Result Files: The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the Files API.
  • Status: The current status of the fine-tuning job, which can be either validating_files, queued, running, succeeded, failed, or cancelled.
  • Trained Tokens: 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.
  • Training File: The file ID used for training. You can retrieve the training data with the Files API.
  • Validation File: The file ID used for validation. You can retrieve the validation results with the Files API.
  • Integrations: A list of integrations to enable for this fine-tuning job.
  • Seed: The seed used for the fine-tuning job.
  • Estimated Finish: 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.
  • Method: The method used for fine-tuning.
  • Metadata:

    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.

Raw Response: Returns the raw response in a single row with the following columns:

  • body: Response body
  • status: HTTP status code

Input Ports

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Configuration data.

Output Ports

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Result of the request depending on the selected Result Format.
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Configuration data (this is the same as the input port; it is provided as passthrough for sequentially chaining nodes to declutter your workflow connections).

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