Struct FineTuningJob 

pub struct FineTuningJob {

    pub id: String,
    pub object: Option<String>,
    pub created_at: u64,
    pub finished_at: Option<u64>,
    pub model: String,
    pub fine_tuned_model: Option<String>,
    pub organization_id: Option<String>,
    pub status: FineTuningJobStatus,
    pub training_file: String,
    pub validation_file: Option<String>,
    pub hyperparameters: Option<Hyperparameters>,
    pub seed: Option<u64>,
    pub suffix: Option<String>,
    pub integrations: Option<Value>,
    pub result_files: Vec<String>,
    pub metrics: Option<FineTuneMetrics>,
    pub user_provided_suffix: Option<bool>,
    pub error: Option<ApiError>,
    pub metadata: Option<HashMap<String, String>>,
    pub method: Option<Value>,
    pub estimated_finish: Option<u64>,
    pub trained_tokens: Option<u64>,
    pub estimated_finish_minutes: Option<u64>,
}

The result files of a completed fine-tuning job.

Fields

id: String

The job ID, e.g. ftjob_....

object: Option<String>

The object type, always fine_tuning.job.

created_at: u64

Unix timestamp (seconds) of when the job was created.

finished_at: Option<u64>

Unix timestamp (seconds) of when the job finished.

model: String

The base model that was fine-tuned.

fine_tuned_model: Option<String>

The name of the resulting fine-tuned model, once the job succeeds.

organization_id: Option<String>

The organization that owns the job.

status: FineTuningJobStatus

The current lifecycle status.

training_file: String

The ID of the uploaded JSONL training file.

validation_file: Option<String>

The ID of the uploaded JSONL validation file, if provided.

hyperparameters: Option<Hyperparameters>

The hyperparameters used for the job.

seed: Option<u64>

The seed used for the job.

suffix: Option<String>

The suffix appended to the fine-tuned model name.

integrations: Option<Value>

The integrations configured for the job.

result_files: Vec<String>

The accumulated metrics and checkpoints of the job.

metrics: Option<FineTuneMetrics>

The computed metrics of the job, if available.

user_provided_suffix: Option<bool>

The user that created the job.

error: Option<ApiError>

The error of a failed job.

metadata: Option<HashMap<String, String>>

Arbitrary key-value metadata attached to the job.

method: Option<Value>

The method used for fine-tuning (supervised, DPO, or reinforcement learning), as raw JSON.

estimated_finish: Option<u64>

Estimated number of billable tokens.

trained_tokens: Option<u64>

Token counts of the job, when reported.

estimated_finish_minutes: Option<u64>

Unix timestamp (seconds) of when the job is estimated to finish.

Trait Implementations

impl Clone for FineTuningJob

fn clone(&self) -> Self

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 FromStr for FineTuningJob

type Err = OapiError

The associated error which can be returned from parsing.

fn from_str(content: &str) -> Result<Self, Self::Err>

Parses a string s to return a value of this type.

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.