Interface JobCreateParams

interface JobCreateParams {
    hyperparameters?: openai.OpenAI.FineTuning.Jobs.JobCreateParams.Hyperparameters;
    model: string & {} | "gpt-3.5-turbo" | "babbage-002" | "davinci-002";
    suffix?: null | string;
    training_file: string;
    validation_file?: null | string;
}

Properties

hyperparameters? model suffix? training_file validation_file?

Properties

Optional hyperparameters

hyperparameters?: openai.OpenAI.FineTuning.Jobs.JobCreateParams.Hyperparameters

The hyperparameters used for the fine-tuning job.

model

model: string & {} | "gpt-3.5-turbo" | "babbage-002" | "davinci-002"

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

Optional suffix

suffix?: null | 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.

training_file

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.

Optional validation_file

validation_file?: null | 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.

Settings

Member Visibility

Theme

On This Page

Generated using TypeDoc