GET
/
fine_tuning
/
jobs
/
{fine_tuning_job_id}
curl --request GET \
  --url https://api.vaeroapi.com/v1/fine_tuning/jobs/{fine_tuning_job_id} \
  --header 'Authorization: Bearer <token>'
{
  "object": "fine_tuning.job",
  "id": "ftjob-abc123",
  "model": "llama-3.1-70b",
  "base_model": "gpt-4o",
  "created_at": 1721764800,
  "fine_tuned_model": "ftm:llama-3.1-70b:custom-model-name:0b5ace7e-ffb2-43cf-8a4d-0af17bc2b1d1",
  "organization_id": "org-123",
  "status": "succeeded",
  "training_files": [
    "file-abc123",
    "file-abc124"
  ]
}

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

​
fine_tuning_job_id
string
required

The ID of the fine-tuning job.

Response

200
application/json
A fine-tuning job object.
​
object
string

The type of the object, always 'fine_tuning.job'.

​
id
string

The ID of the fine-tuning job.

​
model
string

The model being fine-tuned.

​
base_model
string

The name of the base model whose output is to be styled.

​
created_at
integer

Unix timestamp for when the job was created.

​
fine_tuned_model
string

The name of the fine-tuned model.

​
organization_id
string

The organization ID associated with this fine-tuning job.

​
status
string

The current status of the job.

​
training_files
string[]

Array of file IDs used for training.