> ## 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: '' content: application/json: schema: $ref: '#/components/schemas/GetTrainingJobCheckpointsResponseV1' x-codeSamples: - lang: bash source: > curl --request GET \ --url https://api.baseten.co/v1/training_projects/{training_project_id}/jobs/{training_job_id}/checkpoints \ --header "Authorization: Api-Key $BASETEN_API_KEY" - lang: python source: >- import requests import os API_KEY = os.environ.get("BASETEN_API_KEY", "") url = "https://api.baseten.co/v1/training_projects/{training_project_id}/jobs/{training_job_id}/checkpoints" headers = {"Authorization": f"Api-Key {API_KEY}"} response = requests.request( "GET", url, headers=headers, json={} ) print(response.text) 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 checkpoint_sync_status: anyOf: - $ref: '#/components/schemas/CheckpointSyncStatus' - type: 'null' default: null description: Checkpoint sync status of the training job. priority: default: 0 description: >- Queue priority. Higher values are dequeued first. NULL is treated as 0. title: Priority type: integer user: anyOf: - $ref: '#/components/schemas/UserV1' - type: 'null' default: null description: The user who created the training job. 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: 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 sync_status: anyOf: - type: string - type: 'null' default: null description: 'Sync state of the checkpoint: SYNCING or COMPLETE.' title: Sync Status training_job_id: description: The ID of the training job. title: Training Job Id type: string required: - checkpoint_id - created_at - checkpoint_type - base_model - lora_adapter_config - size_bytes - training_job_id 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 CheckpointSyncStatus: description: Lifecycle state for the checkpoint uploader. enum: - SYNCING - COMPLETED title: CheckpointSyncStatus type: string UserV1: description: A user. properties: email: anyOf: - type: string - type: 'null' default: null description: Email of the user. title: Email title: UserV1 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 ` ````