GET
/
api
/
v1
/
organizations
/
{organization_id}
/
jobs
/
{job_id}
{
  "base_model": "<string>",
  "completed_at": "2023-11-07T05:31:56Z",
  "dataset": {
    "answer_column": "<string>",
    "id": "<string>",
    "prompt_column": "<string>"
  },
  "hyperparameters": {
    "batch_size": 123,
    "best_checkpoints": true,
    "evaluation_epochs": 123,
    "learning_rate": 123,
    "lora": {
      "alpha": 123,
      "dropout": 123,
      "enabled": true,
      "r": 123,
      "trainable_modules": [
        "<string>"
      ]
    },
    "n_epochs": 123,
    "warmup_epochs": 123,
    "weight_decay": 123
  },
  "id": "<string>",
  "name": "<string>",
  "started_at": "2023-11-07T05:31:56Z",
  "status": "queued"
}

Authorizations

Authorization
string
header
required

Bearer HTTP authentication. Allowed headers -- Authorization: Bearer <access_token>

Path Parameters

organization_id
string
required
job_id
string
required

Response

200 - application/json

Successful response.

The is an object representing a fine-tuning job.

base_model
string
required

The name of the base model used for fine-tuning.

completed_at
string<date-time> | null
required

Time at which the job completed.

dataset
object
required

This is an object representing the dataset used for a job.

hyperparameters
object
required

The hyperparameters used to configure the job.

id
string
required

Unique identifier for the object.

name
string
required

The name of the job.

started_at
string<date-time> | null
required

Time at which the job started.

status
enum<string>
required

The status of the job.

Available options:
queued,
starting,
running,
completed,
failed,
cancelled