Optional
hyperparametersOptional
integrationsA list of integrations to enable for your fine-tuning job.
The name of the model to fine-tune. You can select one of the supported models.
Optional
seedThe seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases. If a seed is not specified, one will be generated for you.
Optional
suffixA 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-4o-mini:openai:custom-model-name:7p4lURel
.
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
.
The contents of the file should differ depending on if the model uses the chat or completions format.
See the fine-tuning guide for more details.
Optional
validation_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.
The hyperparameters used for the fine-tuning job.