Struct FineTuningJob

pub struct FineTuningJob {

    pub id: String,
    pub created_at: u32,
    pub error: Option<FineTuneJobError>,
    pub fine_tuned_model: Option<String>,
    pub finished_at: Option<u32>,
    pub hyperparameters: Hyperparameters,
    pub model: String,
    pub object: String,
    pub organization_id: String,
    pub result_files: Vec<String>,
    pub status: FineTuningJobStatus,
    pub trained_tokens: Option<u32>,
    pub training_file: String,
    pub validation_file: Option<String>,
    pub integrations: Option<Vec<FineTuningIntegration>>,
    pub seed: u32,
    pub estimated_finish: Option<u32>,
    pub method: Option<FineTuneMethod>,
}

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

Fields

id: String

The object identifier, which can be referenced in the API endpoints.

created_at: u32

The Unix timestamp (in seconds) for when the fine-tuning job was created.

error: Option<FineTuneJobError>

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

fine_tuned_model: Option<String>

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: Option<u32>

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: Hyperparameters

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

model: String

The base model that is being fine-tuned.

object: String

The object type, which is always “fine_tuning.job”.

organization_id: String

The organization that owns the fine-tuning job.

result_files: Vec<String>

The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the Files API.

status: FineTuningJobStatus

The current status of the fine-tuning job, which can be either validating_files, queued, running, succeeded, failed, or cancelled.

trained_tokens: Option<u32>

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: String

The file ID used for training. You can retrieve the training data with the Files API.

validation_file: Option<String>

The file ID used for validation. You can retrieve the validation results with the Files API.

integrations: Option<Vec<FineTuningIntegration>>

A list of integrations to enable for this fine-tuning job.

seed: u32

The seed used for the fine-tuning job.

estimated_finish: Option<u32>

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: Option<FineTuneMethod>

Trait Implementations

impl Clone for FineTuningJob

fn clone(&self) -> FineTuningJob

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FineTuningJob

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for FineTuningJob

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for FineTuningJob

fn eq(&self, other: &FineTuningJob) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for FineTuningJob

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for FineTuningJob