Struct CreateFineTuningJobRequestArgs 

pub struct CreateFineTuningJobRequestArgs { /* private fields */ }

Builder for CreateFineTuningJobRequest.

Implementations

impl CreateFineTuningJobRequestArgs

pub fn model<VALUE>( &mut self, value: VALUE, ) -> &mut CreateFineTuningJobRequestArgs

where VALUE: Into<String>,

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

pub fn training_file<VALUE>( &mut self, value: VALUE, ) -> &mut CreateFineTuningJobRequestArgs

where VALUE: Into<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.

pub fn hyperparameters<VALUE>( &mut self, value: VALUE, ) -> &mut CreateFineTuningJobRequestArgs

where VALUE: Into<Hyperparameters>,

The hyperparameters used for the fine-tuning job. This value is now deprecated in favor of method, and should be passed in under the method parameter.

pub fn suffix<VALUE>( &mut self, value: VALUE, ) -> &mut CreateFineTuningJobRequestArgs

where VALUE: Into<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.

pub fn validation_file<VALUE>( &mut self, value: VALUE, ) -> &mut CreateFineTuningJobRequestArgs

where VALUE: Into<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.

pub fn integrations<VALUE>( &mut self, value: VALUE, ) -> &mut CreateFineTuningJobRequestArgs

where VALUE: Into<Vec<FineTuningIntegration>>,

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

pub fn seed<VALUE>( &mut self, value: VALUE, ) -> &mut CreateFineTuningJobRequestArgs

where VALUE: Into<u32>,

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.

pub fn method<VALUE>( &mut self, value: VALUE, ) -> &mut CreateFineTuningJobRequestArgs

where VALUE: Into<FineTuneMethod>,

pub fn build(&self) -> Result<CreateFineTuningJobRequest, OpenAIError>

Builds a new CreateFineTuningJobRequest.

Errors

If a required field has not been initialized.

Trait Implementations

impl Clone for CreateFineTuningJobRequestArgs

fn clone(&self) -> CreateFineTuningJobRequestArgs

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CreateFineTuningJobRequestArgs

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

Formats the value using the given formatter.

impl Default for CreateFineTuningJobRequestArgs

fn default() -> CreateFineTuningJobRequestArgs

Returns the “default value” for a type.