Creates a job that fine-tunes a specified model based on a given dataset. See this page for details.
create_fine_tune(
training_file,
validation_file = NULL,
model = c("curie", "ada", "babbage", "davinci"),
n_epochs = 4,
batch_size = NULL,
learning_rate_multiplier = NULL,
prompt_loss_weight = 0.1,
compute_classification_metrics = FALSE,
classification_n_classes = NULL,
classification_positive_class = NULL,
classification_betas = NULL,
suffix = NULL,
openai_api_key = Sys.getenv("OPENAI_API_KEY"),
openai_organization = NULL
)
Returns a list, elements of which contain information about the fine-tune.
required; a length one character vector.
optional; defaults to NULL
; a length one character
vector.
model required; defaults to "curie"
; a length one character
vector, one among "ada"
, "babbage"
, "curie"
, and "davinci"
.
required; defaults to 4
; a length one numeric vector with
the integer value greater than 0
.
optional; defaults to NULL
; a length one numeric vector
with the integer value greater than 0
.
optional; defaults to NULL
; a length one
numeric vector with the value greater than 0
.
required; defaults to 0.1
; a length one numeric
vector.
required; defaults to FLASE
; a length
one logical vector.
optional; defaults to NULL
; a length one
numeric vector with the value greater than 0
.
optional; defaults to NULL
; a length
one character vector.
optional; defaults to NULL
; a list elements of
which are numeric values greater than 0
.
optional; defaults to NULL
; a length one character vector.
required; defaults to Sys.getenv("OPENAI_API_KEY")
(i.e., the value is retrieved from the .Renviron
file); a length one
character vector. Specifies OpenAI API key.
optional; defaults to NULL
; a length one
character vector. Specifies OpenAI organization.
For arguments description please refer to the official documentation.
Other fine-tune functions:
cancel_fine_tune()
,
delete_fine_tune_model()
,
list_fine_tune_events()
,
list_fine_tunes()
,
retrieve_fine_tune()
if (FALSE) {
training_file <- system.file(
"extdata", "sport_prepared_train.jsonl", package = "openai"
)
validation_file <- system.file(
"extdata", "sport_prepared_train.jsonl", package = "openai"
)
training_info <- upload_file(training_file, "fine-tune")
validation_info <- upload_file(validation_file, "fine-tune")
info <- create_fine_tune(
training_file = training_info$id,
validation_file = validation_info$id,
model = "ada",
compute_classification_metrics = TRUE,
classification_positive_class = " baseball" # Mind space in front
)
}
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