Get Fine Tune Job
Get Fine Tune Job
POST/api/2/auto_eval/fine_tune_job/get
Get the full job details
Request
- application/json
Body
Responses
- 200
Successful operation
- application/json
- Schema
- Example (from schema)
Schema
Array [
]
job
object
required
The ID of the fine tune job.
Name corresponding to the fine tuned model derived from this job
Possible values: [JOB_STATUS_UNSPECIFIED
, JOB_STATUS_QUEUED
, JOB_STATUS_RUNNING
, JOB_STATUS_COMPLETED
, JOB_STATUS_CANCELLED
, JOB_STATUS_FAILED
]
config
object
required
Optional name for the job.
Optional description for the job.
The ID for the model used as the starting point for training.
The dataset to use for training, with splits baked in or to be derived dynamically
The dataset to use for an unbiased evaluation of the model
result
object
required
Result of a Fine-Tuning Job.
progress
object[]
required
trainedModelFile
object
The trained model, if it was created successfully.
Url to view the full results and progress (e.g. external W&B url)
{
"job": {
"id": "string",
"createdAt": "2024-07-29T15:51:28.071Z",
"updatedAt": "2024-07-29T15:51:28.071Z",
"name": "string",
"description": "string",
"status": "JOB_STATUS_UNSPECIFIED",
"config": {
"name": "string",
"description": "string",
"baselineModelId": "string",
"trainDatasetId": "string",
"testDatasetId": "string",
"selectedColumns": [
"string"
]
},
"result": {
"progress": [
{
"jobId": "string",
"epoch": 0,
"loss": 0,
"accuracy": 0,
"progress": 0,
"timestamp": "2024-07-29T15:51:28.071Z"
}
],
"trainedModelFile": {
"id": "string",
"createdAt": "2024-07-29T15:51:28.071Z",
"updatedAt": "2024-07-29T15:51:28.071Z",
"modelId": "string",
"contentMd5Hash": "string",
"fileSizeBytes": 0
},
"resultUrl": "string"
}
}
}