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Fine-tuning is a process by which you train one of Archetype’s models with a data set specifically designed to optimize the model’s performance for your use case. This API supports creating, managing, and retrieving results from fine-tuning jobs. For more information about fine tuning, see this introduction to fine-tuning.

Create Fine-tuning Job

Create a fine-tuning job

Get Fine-tuning Job Details

Get a fine-tuning job by ID

List Fine-tuning Jobs

Retrieve a cursor-paginated, sortable list of fine-tuning jobs

Pause Fine-tuning Job

Pause a fine-tuning job

Resume Fine-tuning Job

Resume a paused or failed fine-tuning job

Cancel Fine-tuning Job

Cancel a fine-tuning job

List Job Checkpoints

Get a cursor-paginated list of checkpoints produced by the job

List Job Events

List job-level events for the specified job, cursor-paginated, in chronological order

List Job Logs

Returns all events for the job, cursor-paginated, newest first

List Job Metrics

Get per-step training and evaluation metrics for the job

List Checkpoint Options

List checkpoints available to warm-start a new fine-tuning job