---
title: "Lists training jobs"
method: GET
path: "/v1/training_projects/{training_project_id}/jobs"
---

# Lists training jobs

`GET /v1/training_projects/{training_project_id}/jobs`

## Request

- Base URL: `https://model-{model_id}.api.baseten.co`
- URL: `https://model-{model_id}.api.baseten.co/v1/training_projects/{training_project_id}/jobs`
- Auth: HTTP bearer
- TypeScript: <https://skmtc.dev/baseten/apis/baseten-inference-api/docs/v1/training_projects/:training_project_id/jobs/get.ts> (a function with typed inputs; its response is checked against the schema)

Lists all training jobs for the training project.

## Response `200`

- ListTrainingJobsResponseV1: A response to list training jobs.
  - `training_project` TrainingProjectV1, required
    - `id` string, required: Unique identifier of the training project
    - `name` string, required: Name of the training project.
    - `created_at` string, date-time, required: Time the training project was created in ISO 8601 format.
    - `updated_at` string, date-time, required: Time the training project was updated in ISO 8601 format.
    - `team_name` string, nullable: Name of the team associated with the training project.
    - `latest_job` TrainingJobV1, required
      - `id` string, required: Unique identifier of the training job.
      - `created_at` string, date-time, required: Time the job was created in ISO 8601 format.
      - `current_status` string, required: Current status of the training job.
      - `error_message` string, nullable: Error message if the training job failed.
      - `instance_type` InstanceTypeV1, required: An instance type.
        - `id` string, required: Identifier string for the instance type
        - `name` string, required: Display name of the instance type
        - `memory_limit_mib` integer, required: Memory limit of the instance type in Mebibytes
        - `millicpu_limit` integer, required: CPU limit of the instance type in millicpu
        - `gpu_count` integer, required: Number of GPUs on the instance type
        - `gpu_type` string, nullable, required: Type of GPU on the instance type
        - `gpu_memory_limit_mib` integer, nullable, required: Memory limit of the GPU on the instance type in Mebibytes
      - `updated_at` string, date-time, required: Time the job was updated in ISO 8601 format.
      - `training_project_id` string, required: ID of the training project.
      - `training_project` TrainingProjectSummaryV1, required: A summary of a training project.
        - `id` string, required: Unique identifier of the training project.
        - `name` string, required: Name of the training project.
      - `name` string, nullable: Name of the training job.
      - `checkpoint_sync_status` 'SYNCING' | 'COMPLETED': Lifecycle state for the checkpoint uploader.
      - `priority` integer: Queue priority. Higher values are dequeued first. NULL is treated as 0.
      - `availability_model` 'dedicated' | 'spot': Capacity guarantee under which a training job is scheduled. ``DEDICATED`` is on-demand capacity that is not preempted (the default). ``SPOT`` is interruptible capacity that may be preempted; the user is responsible for checkpointing their own progress. A managed/resumable model where the platform handles checkpoint/resume on its own is intentionally not defined yet; it is planned for a future milestone.
      - `user` UserV1: A user.
        - `email` string, nullable: Email of the user.
  - `training_jobs` TrainingJobV1[], required: List of training jobs.
    - `id` string, required: Unique identifier of the training job.
    - `created_at` string, date-time, required: Time the job was created in ISO 8601 format.
    - `current_status` string, required: Current status of the training job.
    - `error_message` string, nullable: Error message if the training job failed.
    - `instance_type` InstanceTypeV1, required: An instance type.
      - `id` string, required: Identifier string for the instance type
      - `name` string, required: Display name of the instance type
      - `memory_limit_mib` integer, required: Memory limit of the instance type in Mebibytes
      - `millicpu_limit` integer, required: CPU limit of the instance type in millicpu
      - `gpu_count` integer, required: Number of GPUs on the instance type
      - `gpu_type` string, nullable, required: Type of GPU on the instance type
      - `gpu_memory_limit_mib` integer, nullable, required: Memory limit of the GPU on the instance type in Mebibytes
    - `updated_at` string, date-time, required: Time the job was updated in ISO 8601 format.
    - `training_project_id` string, required: ID of the training project.
    - `training_project` TrainingProjectSummaryV1, required: A summary of a training project.
      - `id` string, required: Unique identifier of the training project.
      - `name` string, required: Name of the training project.
    - `name` string, nullable: Name of the training job.
    - `checkpoint_sync_status` 'SYNCING' | 'COMPLETED': Lifecycle state for the checkpoint uploader.
    - `priority` integer: Queue priority. Higher values are dequeued first. NULL is treated as 0.
    - `availability_model` 'dedicated' | 'spot': Capacity guarantee under which a training job is scheduled. ``DEDICATED`` is on-demand capacity that is not preempted (the default). ``SPOT`` is interruptible capacity that may be preempted; the user is responsible for checkpointing their own progress. A managed/resumable model where the platform handles checkpoint/resume on its own is intentionally not defined yet; it is planned for a future milestone.
    - `user` UserV1: A user.
      - `email` string, nullable: Email of the user.

---

[API](https://skmtc.dev/baseten/apis/baseten-inference-api.md) - [All operations](https://skmtc.dev/baseten/apis/baseten-inference-api/llms.txt) - [OpenAPI document](https://skmtc.dev/baseten/apis/baseten-inference-api/revisions/a55a2f64c3c5?raw)