GET
/
v1
/
accounts
/
{account_id}
/
fineTuningJobs
/
{fine_tuning_job_id}
curl --request GET \
  --url https://api.fireworks.ai/v1/accounts/{account_id}/fineTuningJobs/{fine_tuning_job_id} \
  --header 'Authorization: Bearer <token>'
{
  "name": "<string>",
  "displayName": "<string>",
  "createTime": "2023-11-07T05:31:56Z",
  "state": "STATE_UNSPECIFIED",
  "dataset": "<string>",
  "datasets": [
    {
      "dataset": "<string>"
    }
  ],
  "status": {
    "code": "OK",
    "message": "<string>"
  },
  "createdBy": "<string>",
  "containerVersion": "<string>",
  "modelId": "<string>",
  "legacyJob": {},
  "textCompletion": {
    "inputTemplate": "<string>",
    "outputTemplate": "<string>"
  },
  "textClassification": {
    "text": "<string>",
    "label": "<string>"
  },
  "conversation": {
    "jinjaTemplate": "<string>"
  },
  "draftModelData": {
    "deploymentName": "<string>",
    "jinjaTemplate": "<string>",
    "cleanupDeployment": true
  },
  "draftModel": {},
  "genie": {
    "pipelineName": "<string>"
  },
  "baseModel": "<string>",
  "warmStartFrom": "<string>",
  "epochs": 123,
  "learningRate": 123,
  "loraRank": 123,
  "loraTargetModules": [
    "<string>"
  ],
  "batchSize": 123,
  "microBatchSize": 123,
  "maskToken": "<string>",
  "padToken": "<string>",
  "wandbUrl": "<string>",
  "wandbEntity": "<string>",
  "wandbApiKey": "<string>",
  "wandbProject": "<string>",
  "evaluation": true,
  "evaluationSplit": 123,
  "evaluationDataset": "<string>",
  "dependentJobs": [
    "<string>"
  ]
}

Authorizations

​
Authorization
string
header
required

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

Path Parameters

​
account_id
string
required

The Account Id

​
fine_tuning_job_id
string
required

The Fine-tuning Job Id

Query Parameters

​
readMask
string

The fields to be returned in the response. If empty or "*", all fields will be returned.

Response

200 - application/json

A successful response.

The response is of type object.