View Source OpenAI.FineTunes (OpenAI API Wrapper v0.1.3)

@type create_params() ::
  {:validation_file, binary()}
  | {:model, binary()}
  | {:n_epochs, non_neg_integer()}
  | {:batch_size, non_neg_integer()}
  | {:learning_rate_multiplier, number()}
  | {:prompt_loss_weight, number()}
  | {:compute_classification_metrics, boolean()}
  | {:classification_n_classes, non_neg_integer()}
  | {:classification_positive_class, binary()}
  | {:classification_betas, [number()]}
  | {:suffix, binary()}

Link to this section Functions

cancel(fine_tune_id)

@spec cancel(binary()) :: {:ok, map()} | {:error, OpenAI.Error.t()}

Immediately cancel a fine-tune job.

create(training_file_id, params \\ [])

@spec create(binary(), [create_params()]) :: {:ok, map()} | {:error, OpenAI.Error.t()}

Creates a job that fine-tunes a specified model from a given dataset.

delete_model(model_id)

@spec delete_model(binary()) :: {:ok, map()} | {:error, OpenAI.Error.t()}

Delete a fine-tuned model. You must have the Owner role in your organization.

list()

@spec list() :: {:ok, map()} | {:error, OpenAI.Error.t()}

List your organization's fine-tuning jobs

list_events(fine_tune_id)

@spec list_events(binary()) :: {:ok, map()} | {:error, OpenAI.Error.t()}

Get fine-grained status updates for a fine-tune job.

retrieve(fine_tune_id)

@spec retrieve(binary()) :: {:ok, map()} | {:error, OpenAI.Error.t()}

Gets info about the fine-tune job with the given id.

Settings View Source OpenAI.FineTunes (OpenAI API Wrapper v0.1.3)

Link to this section Summary

Types

Functions

Link to this section Types

create_params()