Struct async_openai::types::CreateFineTuningJobRequest

pub struct CreateFineTuningJobRequest {
    pub model: String,
    pub training_file: String,
    pub hyperparameters: Option<Hyperparameters>,
    pub suffix: Option<String>,
    pub validation_file: Option<String>,
}

Fields

model: String

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

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.

See the fine-tuning guide for more details.

hyperparameters: Option<Hyperparameters>

The hyperparameters used for the fine-tuning job.

suffix: Option<String>

A string of up to 18 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-3.5-turbo:openai:custom-model-name:7p4lURel.

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 Clone for CreateFineTuningJobRequest

fn clone(&self) -> CreateFineTuningJobRequest

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateFineTuningJobRequest

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

Formats the value using the given formatter.

impl Default for CreateFineTuningJobRequest

fn default() -> CreateFineTuningJobRequest

Returns the “default value” for a type.

impl PartialEq for CreateFineTuningJobRequest

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

This method tests for self and other values to be equal, and is used by ==.

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

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

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.

impl StructuralPartialEq for CreateFineTuningJobRequest