The fine-tuning job object
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 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. See the fine-tuning guide for more details.
The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the Files API.
The current status of the fine-tuning job, which can be either validating_files, queued, running, succeeded, failed, or 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 file ID used for training. You can retrieve the training data with the Files API.
The file ID used for validation. You can retrieve the validation results with the Files API.
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{
"object": "fine_tuning.job",
"id": "ftjob-abc123",
"model": "davinci-002",
"created_at": 1692661014,
"finished_at": 1692661190,
"fine_tuned_model": "ft:davinci-002:my-org:custom_suffix:7q8mpxmy",
"organization_id": "org-123",
"result_files": [
"file-abc123"
],
"status": "succeeded",
"validation_file": null,
"training_file": "file-abc123",
"hyperparameters": {
"n_epochs": 4,
"batch_size": 1,
"learning_rate_multiplier": 1.0
},
"trained_tokens": 5768,
"integrations": [],
"seed": 0,
"estimated_finish": 0
}