Resume Supervised Fine-tuning Job
Authorizations
Bearer authentication using your Fireworks API key. Format: Bearer <API_KEY>
Path Parameters
The Account Id
The Supervised Fine-tuning Job Id
Body
The body is of type object.
Response
A successful response.
The name of the dataset used for training.
The AWS configuration for S3 dataset access.
The Azure configuration for Azure Blob Storage dataset access.
JobState represents the state an asynchronous job can be in.
- JOB_STATE_PAUSED: Job is paused, typically due to account suspension or manual intervention.
- JOB_STATE_DELETED: Job has been deleted.
JOB_STATE_UNSPECIFIED, JOB_STATE_CREATING, JOB_STATE_RUNNING, JOB_STATE_COMPLETED, JOB_STATE_FAILED, JOB_STATE_CANCELLED, JOB_STATE_DELETING, JOB_STATE_WRITING_RESULTS, JOB_STATE_VALIDATING, JOB_STATE_DELETING_CLEANING_UP, JOB_STATE_PENDING, JOB_STATE_EXPIRED, JOB_STATE_RE_QUEUEING, JOB_STATE_CREATING_INPUT_DATASET, JOB_STATE_IDLE, JOB_STATE_CANCELLING, JOB_STATE_EARLY_STOPPED, JOB_STATE_PAUSED, JOB_STATE_DELETED The email address of the user who initiated this fine-tuning job.
The model ID to be assigned to the resulting fine-tuned model. If not specified, the job ID will be used.
The name of the base model to be fine-tuned Only one of 'base_model' or 'warm_start_from' should be specified.
The PEFT addon model in Fireworks format to be fine-tuned from Only one of 'base_model' or 'warm_start_from' should be specified.
Deprecated: literal Jinja templates are not supported by Training V2. Conversation rendering is selected from the base model's registered renderer configuration instead.
Deprecated: early stopping is not supported by managed training.
The number of epochs to train for.
The learning rate used for training.
The maximum context length to use with the model.
The rank of the LoRA layers.
The Weights & Biases team/user account for logging training progress.
The name of a separate dataset to use for evaluation.
Whether to run the fine-tuning job in turbo mode.
Whether to auto-carve the dataset for eval.
The update time for the supervised fine-tuning job.
Deprecated: multi-node scheduling is now handled by the cookbook orchestrator in V2 workflows. This field is ignored for V2 jobs and will be removed in a future release.
Deprecated: legacy V1 token budget. Training V2 batches by samples via batch_size_samples.
Deprecated: MTP is no longer supported by managed training. This field is retained for API wire compatibility only.
Deprecated: see mtp_enabled.
Deprecated: see mtp_enabled.
Job progress.
The signed URL for the trainer logs file (stdout/stderr). Only populated if the account has trainer log reading enabled.
Deprecated: legacy V1 gradient accumulation. Training V2 batches by samples via batch_size_samples and rejects this field when set.
The number of samples per gradient batch.
The estimated cost of the job.
Weight decay (L2 regularization) for optimizer.
Scheduling purpose for this job.
PURPOSE_UNSPECIFIED, PURPOSE_PILOT