---
title: "Get Training Job"
method: GET
path: "/felix/training-jobs/{job_id}"
tags: ["felix"]
---

# Get Training Job

`GET /felix/training-jobs/{job_id}`

Get a specific training job by ID.

## Path parameters

- `job_id` string, required

## Response `200`

Successful Response

- TrainingJobResponse — Training job response model
  - `id` string, required
  - `user_id` string, required
  - `project_id` string, nullable — Project ID this training job is associated with
  - `model_name` string, nullable
  - `datasets` DatasetReference[], required
    - `name` string, required — Dataset name
    - `version` string, nullable — Version (latest if omitted)
  - `base_model` string, required
  - `validation_data_percentage` number, required
  - `nr_epochs` integer, required
  - `learning_rate` number, required
  - `batch_size` integer, required
  - `trained_model_path` string, nullable
  - `job_reference` string, nullable
  - `instance_type` string, nullable
  - `status` string, required
  - `normalized_status` string, nullable — Canonical status alias for compatibility handling (requested, running, complete, deployed, failed, cancelled)
  - `is_terminal_status` boolean, nullable — Whether this status is terminal for polling loops
  - `error_message` string, nullable
  - `created_at` string, required
  - `updated_at` string, required
  - `started_at` string, nullable
  - `completed_at` string, nullable
  - `model_auto_selected` boolean, nullable
  - `model_selection_reason` string, nullable
  - `task_type` string, nullable — Task type derived from training datasets: 'ner', 'classification', 'custom', or 'decoder'
  - `labels` string[], nullable — Merged labels from training datasets (entity types for NER, class labels for classification)
  - `example` string, nullable — Sample text to pre-load into inference input
  - `metrics` object, nullable — Training and evaluation metrics dictionary. Contains final_training_loss, final_validation_loss, best_validation_loss from training logs, and optional evaluation metrics (f1_score, precision_score, recall_score, accuracy) if an evaluation has been run.
  - `version_number` string, nullable — Version number for this training job (e.g., '1', '2', '3')
  - `root_job_id` string, nullable — ID of the original/root training job this version derives from
  - `provider_deployments` object, nullable — Provider-specific deployment metadata written by the training monitor. For Fireworks: {"fireworks": {"deployment_name": ...}}.
  - `provider_name` string, nullable — Training provider that handled this job (e.g. 'fireworks', 'modal').
  - `progress_percent` integer, nullable — Overall training completion percentage (0-100). Updated live during training.
  - `current_epoch` integer, nullable — Epoch currently in progress (1-indexed). Updated live during training.
  - `deployment_status` string, nullable, required — Deprecated. Always returns None -- deployment_status no longer exists. Kept for backward compat with clients that read this field.

## Other responses

- `422` — Validation Error

---

[API](https://skmtc.net/pioneer/apis/brain-api.md) · [All operations](https://skmtc.net/pioneer/apis/brain-api/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/pioneer/brain-api/revisions/31dfe831e079/schema)