fine_tuning_create_job_request {oaii} | R Documentation |
API fine-tuning: create job (model) request
Description
Creates a fine-tuning job which begins the process of creating a new model from a given dataset. To get more details, visit https://platform.openai.com/docs/guides/fine-tuning https://platform.openai.com/docs/api-reference/fine-tuning/create
Usage
fine_tuning_create_job_request(
model,
training_file,
hyperparameters = NULL,
suffix = NULL,
validation_file = NULL,
api_key = api_get_key()
)
Arguments
model |
string, the name of the base model to fine-tune. You can select one of the supported models: gpt-3.5-turbo-1106 (recommended), gpt-3.5-turbo-0613, babbage-002, davinci-002, gpt-4-0613 (experimental) |
training_file |
string, the ID of an uploaded file that contains training data. See files_upload_request. |
hyperparameters |
list/NULL, the hyperparameters used for the fine-tuning job. 'hyperparameters$batch_size' string/integer/NULL defaults to "auto", number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance. 'hyperparameters$learning_rate_multiplier' string/number/NULL defaults to "auto", scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting. 'hyperparameters$n_epochs' string/integer/NULL, defaults to "auto", the number of epochs to train the model for. An epoch refers to one full cycle through the training dataset. |
suffix |
string/NULL, A string of up to 18 characters that will be added to your fine-tuned model name. For example, a suffix of "custom-model-name" would produce a model name like ft:gpt-3.5-turbo:openai:custom-model-name:7p4lURel |
validation_file |
string/NULL, the ID of an uploaded file that contains validation data. If you provide this file, the data is used to generate validation metrics periodically during fine-tuning. These metrics can be viewed in the fine-tuning results file. The same data should not be present in both train and validation files. Your dataset must be formatted as a JSONL file. You must upload your file with the purpose fine-tune. |
api_key |
string, OpenAI API key (see https://platform.openai.com/account/api-keys) |
Value
content of the httr response object or SimpleError (conditions) enhanced with two additional fields: 'status_code' (response$status_code) and 'message_long' (built on response content)