@ralphschuler.ai function caller.index.<internal>.OpenAI.FineTuning.Jobs.JobCreateParams

Interface: JobCreateParams

FineTuning.Jobs.JobCreateParams

Table of contents

Properties

• hyperparameters
• model
• suffix
• training_file
• validation_file

Properties

hyperparameters

• Optional hyperparameters: Hyperparameters

The hyperparameters used for the fine-tuning job.

Defined in

node_modules/openai/resources/fine-tuning/jobs.d.ts:181

---

model

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

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

Defined in

node_modules/openai/resources/fine-tuning/jobs.d.ts:164

---

suffix

• Optional 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.

Defined in

node_modules/openai/resources/fine-tuning/jobs.d.ts:189

---

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.

Defined in

node_modules/openai/resources/fine-tuning/jobs.d.ts:177

---

validation_file

• Optional 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.

Defined in

node_modules/openai/resources/fine-tuning/jobs.d.ts:204