Struct CreateFineTuningJobRequest

pub struct CreateFineTuningJobRequest {
    pub hyperparameters: Option<CreateFineTuningJobRequestHyperparameters>,
    pub integrations: Option<Vec<CreateFineTuningJobRequestIntegrations>>,
    pub metadata: Option<Metadata>,
    pub method: Option<FineTuneMethod>,
    pub model: Value,
    pub seed: Option<i32>,
    pub suffix: Option<String>,
    pub training_file: String,
    pub validation_file: Option<String>,
}

Fields

hyperparameters: Option<CreateFineTuningJobRequestHyperparameters>

integrations: Option<Vec<CreateFineTuningJobRequestIntegrations>>

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

metadata: Option<Metadata>

method: Option<FineTuneMethod>

model: Value

The name of the model to fine-tune. You can select one of the supported models.

seed: Option<i32>

The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases. If a seed is not specified, one will be generated for you.

suffix: Option<String>

A string of up to 64 characters that will be added to your fine-tuned model name. For example, a suffix of "custom-model-name" would produce a model name like ft:gpt-4o-mini:openai:custom-model-name:7p4lURel.

training_file: String

The ID of an uploaded file that contains training data. See upload file for how to upload a file. Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose fine-tune. The contents of the file should differ depending on if the model uses the chat, completions format, or if the fine-tuning method uses the preference format. See the fine-tuning guide for more details.

validation_file: Option<String>

The ID of an uploaded file that contains validation data. If you provide this file, the data is used to generate validation metrics periodically during fine-tuning. These metrics can be viewed in the fine-tuning results file. The same data should not be present in both train and validation files. Your dataset must be formatted as a JSONL file. You must upload your file with the purpose fine-tune. See the fine-tuning guide for more details.

Trait Implementations

impl Debug for CreateFineTuningJobRequest

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for CreateFineTuningJobRequest

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for CreateFineTuningJobRequest

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

where __S: Serializer,

Serialize this value into the given Serde serializer.