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

Interface: Hyperparameters

Jobs.JobCreateParams.Hyperparameters

The hyperparameters used for the fine-tuning job.

Table of contents

Properties

• batch_size
• learning_rate_multiplier
• n_epochs

Properties

batch_size

• Optional batch_size: number | "auto"

Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.

Defined in

node_modules/openai/resources/fine-tuning/jobs.d.ts:215

---

learning_rate_multiplier

• Optional learning_rate_multiplier: number | "auto"

Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.

Defined in

node_modules/openai/resources/fine-tuning/jobs.d.ts:220

---

n_epochs

• Optional n_epochs: number | "auto"

The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.

Defined in

node_modules/openai/resources/fine-tuning/jobs.d.ts:225