A valid request URL is required to generate request examples{
"id": "<string>",
"created_at": 123,
"error": {
"code": "<string>",
"message": "<string>",
"param": "<string>"
},
"fine_tuned_model": "<string>",
"finished_at": 123,
"hyperparameters": {
"batch_size": "auto",
"learning_rate_multiplier": "auto",
"n_epochs": "auto"
},
"model": "<string>",
"object": "fine_tuning.job",
"organization_id": "<string>",
"result_files": [
"<string>"
],
"status": "validating_files",
"trained_tokens": 123,
"training_file": "<string>",
"validation_file": "<string>",
"seed": 123,
"metadata": {},
"user_provided_suffix": "<string>",
"integrations": [
{
"type": "<string>"
}
],
"estimated_finish": 123
}A valid request URL is required to generate request examples{
"id": "<string>",
"created_at": 123,
"error": {
"code": "<string>",
"message": "<string>",
"param": "<string>"
},
"fine_tuned_model": "<string>",
"finished_at": 123,
"hyperparameters": {
"batch_size": "auto",
"learning_rate_multiplier": "auto",
"n_epochs": "auto"
},
"model": "<string>",
"object": "fine_tuning.job",
"organization_id": "<string>",
"result_files": [
"<string>"
],
"status": "validating_files",
"trained_tokens": 123,
"training_file": "<string>",
"validation_file": "<string>",
"seed": 123,
"metadata": {},
"user_provided_suffix": "<string>",
"integrations": [
{
"type": "<string>"
}
],
"estimated_finish": 123
}The ID of the fine-tuning job to pause.
The explicit Azure AI Foundry Models API version to use for this request.
v1 if not otherwise specified.
v1, preview 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.
Show child attributes
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.
Show child attributes
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.
Show child attributes
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.
Show child attributes
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.
Show child attributes