import { JobCreateParams } from "https://deno.land/x/openai@v4.45.0/resources/fine-tuning/mod.ts";
Interfaces
The hyperparameters used for the fine-tuning job. | |
The settings for your integration with Weights and Biases. This payload specifies the project that metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags to your run, and set a default entity (team, username, etc) to be associated with your run. |
import { type JobCreateParams } from "https://deno.land/x/openai@v4.45.0/resources/fine-tuning/mod.ts";
Properties
The name of the model to fine-tune. You can select one of the supported models.
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.
See the fine-tuning guide for more details.
The hyperparameters used for the fine-tuning job.
A list of integrations to enable for your fine-tuning job.
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.
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.
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.