|
Unreal OpenAI API 1.0.0
|
Public Attributes | |
| FString | Model |
| TMap< FString, FString > | Metadata |
| FString | Training_File |
| FFineTuningJobHyperparamsRequest | Hyperparameters |
| FOptionalString | Suffix |
| FOptionalString | Validation_File |
| TArray< FIntegration > | Integrations |
| FOptionalInt | Seed |
| FFineTuningJobHyperparamsRequest FFineTuningJob::Hyperparameters |
The hyperparameters used for the fine-tuning job.
| TArray<FIntegration> FFineTuningJob::Integrations |
A list of integrations to enable for your fine-tuning job.
| TMap<FString, FString> FFineTuningJob::Metadata |
Set of key-value pairs that can be attached to the fine-tuning job.
| FString FFineTuningJob::Model |
The name of the model to fine-tune. You can select one of the supported models: https://platform.openai.com/docs/guides/fine-tuning/what-models-can-be-fine-tuned
| FOptionalInt FFineTuningJob::Seed |
The 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.
| FOptionalString FFineTuningJob::Suffix |
A string of up to 64 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.
| FString FFineTuningJob::Training_File |
The method used for fine-tuning. Supports "supervised", "dpo", and "reinforcement".
The ID of an uploaded file that contains training data. See upload file for how to upload a file: https://platform.openai.com/docs/api-reference/files/upload 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: https://platform.openai.com/docs/guides/fine-tuning
| FOptionalString FFineTuningJob::Validation_File |
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: https://platform.openai.com/docs/guides/fine-tuning