# Source: https://docs.baseten.co/reference/training-api/get-training-job-checkpoints.md

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.baseten.co/llms.txt
> Use this file to discover all available pages before exploring further.

# List training job checkpoints

> Get the checkpoints for a training job.



## OpenAPI

````yaml get /v1/training_projects/{training_project_id}/jobs/{training_job_id}/checkpoints
openapi: 3.1.0
info:
  description: REST API for management of Baseten resources
  title: Baseten management API
  version: 1.0.0
servers:
  - url: https://api.baseten.co
security:
  - ApiKeyAuth: []
paths:
  /v1/training_projects/{training_project_id}/jobs/{training_job_id}/checkpoints:
    parameters:
      - $ref: '#/components/parameters/training_project_id'
      - $ref: '#/components/parameters/training_job_id'
    get:
      summary: Get training job checkpoints.
      description: Get the checkpoints for a training job.
      responses:
        '200':
          description: A response to fetch checkpoints for a training job.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/GetTrainingJobCheckpointsResponseV1'
components:
  parameters:
    training_project_id:
      schema:
        type: string
      name: training_project_id
      in: path
      required: true
    training_job_id:
      schema:
        type: string
      name: training_job_id
      in: path
      required: true
  schemas:
    GetTrainingJobCheckpointsResponseV1:
      description: A response to fetch checkpoints for a training job.
      properties:
        training_job:
          $ref: '#/components/schemas/TrainingJobV1'
          description: The training job.
        checkpoints:
          description: The checkpoints for the training job.
          items:
            $ref: '#/components/schemas/TrainingJobCheckpointV1'
          title: Checkpoints
          type: array
      required:
        - training_job
        - checkpoints
      title: GetTrainingJobCheckpointsResponseV1
      type: object
    TrainingJobV1:
      properties:
        id:
          description: Unique identifier of the training job.
          title: Id
          type: string
        created_at:
          description: Time the job was created in ISO 8601 format.
          format: date-time
          title: Created At
          type: string
        current_status:
          description: Current status of the training job.
          title: Current Status
          type: string
        error_message:
          anyOf:
            - type: string
            - type: 'null'
          default: null
          description: Error message if the training job failed.
          title: Error Message
        instance_type:
          $ref: '#/components/schemas/InstanceTypeV1'
          description: Instance type of the training job.
        updated_at:
          description: Time the job was updated in ISO 8601 format.
          format: date-time
          title: Updated At
          type: string
        training_project_id:
          description: ID of the training project.
          title: Training Project Id
          type: string
        training_project:
          $ref: '#/components/schemas/TrainingProjectSummaryV1'
          description: Summary of the training project.
        name:
          anyOf:
            - type: string
            - type: 'null'
          default: null
          description: Name of the training job.
          examples:
            - gpt-oss-job
          title: Name
      required:
        - id
        - created_at
        - current_status
        - instance_type
        - updated_at
        - training_project_id
        - training_project
      title: TrainingJobV1
      type: object
    TrainingJobCheckpointV1:
      description: A checkpoint for a training job.
      properties:
        training_job_id:
          description: The ID of the training job.
          title: Training Job Id
          type: string
        checkpoint_id:
          description: The ID of the checkpoint.
          title: Checkpoint Id
          type: string
        created_at:
          description: The timestamp of the checkpoint in ISO 8601 format.
          format: date-time
          title: Created At
          type: string
        checkpoint_type:
          description: The type of checkpoint.
          title: Checkpoint Type
          type: string
        base_model:
          anyOf:
            - type: string
            - type: 'null'
          description: The base model of the checkpoint.
          title: Base Model
        lora_adapter_config:
          anyOf:
            - additionalProperties: true
              type: object
            - type: 'null'
          description: The adapter config of the checkpoint.
          title: Lora Adapter Config
        size_bytes:
          description: The size of the checkpoint in bytes.
          title: Size Bytes
          type: integer
      required:
        - training_job_id
        - checkpoint_id
        - created_at
        - checkpoint_type
        - base_model
        - lora_adapter_config
        - size_bytes
      title: TrainingJobCheckpointV1
      type: object
    InstanceTypeV1:
      description: An instance type.
      properties:
        id:
          description: Identifier string for the instance type
          title: Id
          type: string
        name:
          description: Display name of the instance type
          title: Name
          type: string
        memory_limit_mib:
          description: Memory limit of the instance type in Mebibytes
          title: Memory Limit Mib
          type: integer
        millicpu_limit:
          description: CPU limit of the instance type in millicpu
          title: Millicpu Limit
          type: integer
        gpu_count:
          description: Number of GPUs on the instance type
          title: Gpu Count
          type: integer
        gpu_type:
          anyOf:
            - type: string
            - type: 'null'
          description: Type of GPU on the instance type
          title: Gpu Type
        gpu_memory_limit_mib:
          anyOf:
            - type: integer
            - type: 'null'
          description: Memory limit of the GPU on the instance type in Mebibytes
          title: Gpu Memory Limit Mib
      required:
        - id
        - name
        - memory_limit_mib
        - millicpu_limit
        - gpu_count
        - gpu_type
        - gpu_memory_limit_mib
      title: InstanceTypeV1
      type: object
    TrainingProjectSummaryV1:
      description: A summary of a training project.
      properties:
        id:
          description: Unique identifier of the training project.
          title: Id
          type: string
        name:
          description: Name of the training project.
          title: Name
          type: string
      required:
        - id
        - name
      title: TrainingProjectSummaryV1
      type: object
  securitySchemes:
    ApiKeyAuth:
      type: apiKey
      in: header
      name: Authorization
      description: >-
        You must specify the scheme 'Api-Key' in the Authorization header. For
        example, `Authorization: Api-Key <Your_Api_Key>`

````