Create Fine-tuning Job

curl --request POST \
  --url https://{gatewayBaseURL}/fine_tuning/jobs \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "training_file": "<string>",
  "hyperparameters": {},
  "integrations": [
    {}
  ],
  "metadata": {},
  "method": {},
  "seed": 123,
  "suffix": "<string>",
  "validation_file": "<string>"
}
'

import requests

url = "https://{gatewayBaseURL}/fine_tuning/jobs"

payload = {
    "model": "<string>",
    "training_file": "<string>",
    "hyperparameters": {},
    "integrations": [{}],
    "metadata": {},
    "method": {},
    "seed": 123,
    "suffix": "<string>",
    "validation_file": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: '<string>',
    training_file: '<string>',
    hyperparameters: {},
    integrations: [{}],
    metadata: {},
    method: {},
    seed: 123,
    suffix: '<string>',
    validation_file: '<string>'
  })
};

fetch('https://{gatewayBaseURL}/fine_tuning/jobs', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://{gatewayBaseURL}/fine_tuning/jobs",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'model' => '<string>',
    'training_file' => '<string>',
    'hyperparameters' => [
        
    ],
    'integrations' => [
        [
                
        ]
    ],
    'metadata' => [
        
    ],
    'method' => [
        
    ],
    'seed' => 123,
    'suffix' => '<string>',
    'validation_file' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://{gatewayBaseURL}/fine_tuning/jobs"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"training_file\": \"<string>\",\n  \"hyperparameters\": {},\n  \"integrations\": [\n    {}\n  ],\n  \"metadata\": {},\n  \"method\": {},\n  \"seed\": 123,\n  \"suffix\": \"<string>\",\n  \"validation_file\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://{gatewayBaseURL}/fine_tuning/jobs")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"training_file\": \"<string>\",\n  \"hyperparameters\": {},\n  \"integrations\": [\n    {}\n  ],\n  \"metadata\": {},\n  \"method\": {},\n  \"seed\": 123,\n  \"suffix\": \"<string>\",\n  \"validation_file\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://{gatewayBaseURL}/fine_tuning/jobs")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"<string>\",\n  \"training_file\": \"<string>\",\n  \"hyperparameters\": {},\n  \"integrations\": [\n    {}\n  ],\n  \"metadata\": {},\n  \"method\": {},\n  \"seed\": 123,\n  \"suffix\": \"<string>\",\n  \"validation_file\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "object": "fine_tuning.job",
  "id": "<string>",
  "model": "<string>",
  "created_at": 123,
  "fine_tuned_model": "<string>",
  "organization_id": "<string>",
  "result_files": [
    "<string>"
  ],
  "validation_file": "<string>",
  "training_file": "<string>",
  "finished_at": 123,
  "hyperparameters": {},
  "trained_tokens": 123,
  "integrations": [
    {}
  ],
  "seed": 123,
  "estimated_finish": 123,
  "method": {},
  "metadata": {}
}

POST

fine_tuning

jobs

Create Fine-tuning Job

curl --request POST \
  --url https://{gatewayBaseURL}/fine_tuning/jobs \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "training_file": "<string>",
  "hyperparameters": {},
  "integrations": [
    {}
  ],
  "metadata": {},
  "method": {},
  "seed": 123,
  "suffix": "<string>",
  "validation_file": "<string>"
}
'

import requests

url = "https://{gatewayBaseURL}/fine_tuning/jobs"

payload = {
    "model": "<string>",
    "training_file": "<string>",
    "hyperparameters": {},
    "integrations": [{}],
    "metadata": {},
    "method": {},
    "seed": 123,
    "suffix": "<string>",
    "validation_file": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: '<string>',
    training_file: '<string>',
    hyperparameters: {},
    integrations: [{}],
    metadata: {},
    method: {},
    seed: 123,
    suffix: '<string>',
    validation_file: '<string>'
  })
};

fetch('https://{gatewayBaseURL}/fine_tuning/jobs', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://{gatewayBaseURL}/fine_tuning/jobs",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'model' => '<string>',
    'training_file' => '<string>',
    'hyperparameters' => [
        
    ],
    'integrations' => [
        [
                
        ]
    ],
    'metadata' => [
        
    ],
    'method' => [
        
    ],
    'seed' => 123,
    'suffix' => '<string>',
    'validation_file' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://{gatewayBaseURL}/fine_tuning/jobs"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"training_file\": \"<string>\",\n  \"hyperparameters\": {},\n  \"integrations\": [\n    {}\n  ],\n  \"metadata\": {},\n  \"method\": {},\n  \"seed\": 123,\n  \"suffix\": \"<string>\",\n  \"validation_file\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://{gatewayBaseURL}/fine_tuning/jobs")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"training_file\": \"<string>\",\n  \"hyperparameters\": {},\n  \"integrations\": [\n    {}\n  ],\n  \"metadata\": {},\n  \"method\": {},\n  \"seed\": 123,\n  \"suffix\": \"<string>\",\n  \"validation_file\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://{gatewayBaseURL}/fine_tuning/jobs")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"<string>\",\n  \"training_file\": \"<string>\",\n  \"hyperparameters\": {},\n  \"integrations\": [\n    {}\n  ],\n  \"metadata\": {},\n  \"method\": {},\n  \"seed\": 123,\n  \"suffix\": \"<string>\",\n  \"validation_file\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "object": "fine_tuning.job",
  "id": "<string>",
  "model": "<string>",
  "created_at": 123,
  "fine_tuned_model": "<string>",
  "organization_id": "<string>",
  "result_files": [
    "<string>"
  ],
  "validation_file": "<string>",
  "training_file": "<string>",
  "finished_at": 123,
  "hyperparameters": {},
  "trained_tokens": 123,
  "integrations": [
    {}
  ],
  "seed": 123,
  "estimated_finish": 123,
  "method": {},
  "metadata": {}
}

Authorizations

Authorization

string

header

required

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

Headers

x-tfy-metadata

string

Optional metadata for the request

x-tfy-provider-name

string

Name of the provider

x-tfy-vertex-storage-bucket-name

string

Vertex AI storage bucket name

x-tfy-provider-model

string

Provider-specific model identifier

x-tfy-file-purpose

string

Purpose for the file upload (e.g., fine-tune)

Body

application/json

Fine-tuning job parameters

model

string

required

The name of the model to fine-tune

training_file

string

required

The ID of an uploaded file that contains training data

hyperparameters

object | null

Legacy top-level hyperparameters; deprecated in favor of method.hyperparameters.

integrations

object[] | null

A list of integrations to enable for your fine-tuning job

metadata

object | null

Up to 16 string-valued key-value pairs attached to the job.

Show child attributes

method

object | null

Fine-tuning method config (e.g. supervised, dpo) and its hyperparameters.

seed

integer | null

The seed controls the reproducibility of the job

suffix

string | null

A string of up to 64 characters that will be added to your fine-tuned model name

validation_file

string | null

The ID of an uploaded file that contains validation data

Response

Fine-tuning job created successfully

object

enum<string>

required

The object type

Available options:

fine_tuning.job

string

required

The fine-tuning job ID

model

string

required

The model being fine-tuned

created_at

integer

required

The Unix timestamp when the job was created

fine_tuned_model

string | null

required

Name of the resulting fine-tuned model.

organization_id

string

required

The organization that owns the fine-tuning job

result_files

string[]

required

The compiled results files for the fine-tuning job

status

enum<string>

required

The current status of the fine-tuning job

Available options:

queued,

running,

succeeded,

failed,

cancelled

validation_file

string | null

required

The file ID used for validation

training_file

string

required

The file ID used for training

finished_at

integer | null

The Unix timestamp when the job finished

hyperparameters

object | null

The hyperparameters used for the fine-tuning job

trained_tokens

integer | null

The total number of tokens used for training

integrations

object[] | null

A list of integrations enabled for the fine-tuning job

seed

integer | null

The seed used for the fine-tuning job

estimated_finish

integer | null

The estimated finish timestamp for the job

method

object | null

The method used for fine-tuning

metadata

object | null

Set of 16 key-value pairs that can be attached to an object

Show child attributes

List Fine-tuning Jobs Retrieve Fine-tuning Job

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