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GET /v1/lamini/train/jobs/{job_id}

Get the status of a training job. You can also see these results by going to the train tab at https://app.lamini.ai/train

Request

HTTP Method: GET

Path: https://api.powerml.co/v1/lamini/train/jobs/{job_id}

Headers:

  • Authorization: Bearer <LAMINI_API_KEY>
  • Content-Type: application/json

Parameters:

  • {job_id} - The unique identifier of the training job to be cancelled.

Response

The response will contain the job id, job status, job start time, and model name.

Body (JSON):

  • job_id: The job id
  • status: "SCHEDULED" | "CREATED" | "QUEUED" | "LOADING DATA" | "TRAINING MODEL" | "SAVING MODEL" | "EVALUATING MODEL" | "COMPLETED" | "CANCELED" | "FAILED"
  • start_time: Start time of the object
  • model_name: The finetuned model name, available after model is saved

While Training

{"job_id":2514,"status":"TRAINING MODEL","start_time":"2023-08-09T19:42:46.857931","model_name":null,"custom_model_name":null}

When Completed

{"job_id":2514,"status":"COMPLETED","start_time":"2023-08-09T19:42:46.857931","model_name":"3aa98c32d6e9b10f93cd50023cd4befff2085705c32adedb73d4dc217592ef78","custom_model_name":""}

Example

This example cancels the training job with the ID 418. The request is authenticated using the LAMINI_API_KEY bearer token.

Request

curl --location --request GET 'https://api.powerml.co/v1/lamini/train/jobs/418' \
--header 'Authorization: Bearer <LAMINI_API_KEY>' \
--header 'Content-Type: application/json'

Response

{
  "job_id": "418",
  "status": "SCHEDULED" | "CREATED" | "QUEUED" | "LOADING DATA" | "TRAINING MODEL" | "SAVING MODEL" | "EVALUATING MODEL" | "COMPLETED" | "CANCELED" | "FAILED",
  "start_time": "",
  "model_name": "4321dvwgeb9c483750b213afc78b49fe875d43db27d508e821c2e92e2701e018",
}