List Fine-tune Jobs

POST 
/api/2/auto_eval/fine_tune_job/list

List evaluator fine-tuning jobs.

Request

application/json

Body

filters

object

query string

search query substring match for name and description

status string

Responses

200

Successful operation

application/json

Schema

Schema

jobs

object[]

required

Array [

id

object

required

value stringrequired

createdAt date-timerequired

updatedAt date-timerequired

name string

Name corresponding to the fine tuned model derived from this job

description string

status stringrequired

config

object

required

Set of columns to be used in fine-tuning. Supported columns: input, output, ground_truth For example, a task similar to summarization might need output and ground_truth.

name string

Optional name for the job.

description string

Optional description for the job.

baselineModelId

object

required

value stringrequired

trainDatasetId

object

required

value stringrequired

testDatasetId

object

required

value stringrequired

selectedColumns string[]required

Set of columns to be used in fine-tuning. Supported columns: input, output, ground_truth For example, a task similar to summarization might need output and ground_truth.

result

object

required

Sequential snapshots of training metrics.

progress

object[]

required

Sequential snapshots of training metrics.

Array [

jobId

object

required

value stringrequired

epoch integerrequired

Possible values: >= -2147483648 and <= 2147483647

loss numberrequired

accuracy numberrequired

progress numberrequired

timestamp date-timerequired

]

trainedModelFile

object

Actual file asset corresponding to a model

id

object

required

value stringrequired

createdAt date-timerequired

updatedAt date-timerequired

modelId

object

required

value stringrequired

contentMd5Hash stringrequired

fileSizeBytes integerrequired

Possible values: >= -9223372036854776000 and <= 9223372036854776000

resultUrl string

Url to view the full results and progress (e.g. external W&B url)

]

totalCount integerrequired

Total count of fine tune jobs which can be listed with applicable filters, regardless of page size

Possible values: >= -9223372036854776000 and <= 9223372036854776000

Example (from schema)

{
  "jobs": [
    {
      "id": {
        "value": "string"
      },
      "createdAt": "2024-07-29T15:51:28.071Z",
      "updatedAt": "2024-07-29T15:51:28.071Z",
      "name": "string",
      "description": "string",
      "status": "string",
      "config": {
        "name": "string",
        "description": "string",
        "baselineModelId": {
          "value": "string"
        },
        "trainDatasetId": {
          "value": "string"
        },
        "testDatasetId": {
          "value": "string"
        },
        "selectedColumns": [
          "string"
        ]
      },
      "result": {
        "progress": [
          {
            "jobId": {
              "value": "string"
            },
            "epoch": 0,
            "loss": 0,
            "accuracy": 0,
            "progress": 0,
            "timestamp": "2024-07-29T15:51:28.071Z"
          }
        ],
        "trainedModelFile": {
          "id": {
            "value": "string"
          },
          "createdAt": "2024-07-29T15:51:28.071Z",
          "updatedAt": "2024-07-29T15:51:28.071Z",
          "modelId": {
            "value": "string"
          },
          "contentMd5Hash": "string",
          "fileSizeBytes": 0
        },
        "resultUrl": "string"
      }
    }
  ],
  "totalCount": 0
}

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