Get Fine-tuning Job

GET

fine_tuning

jobs

{job_id}

Retrieve a job

curl --request GET \
  --url https://api.morphllm.com/v1/fine_tuning/jobs/{job_id} \
  --header 'Authorization: Bearer <token>'

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.morphllm.com/v1/fine_tuning/jobs/{job_id}', 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://api.morphllm.com/v1/fine_tuning/jobs/{job_id}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

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

curl_close($curl);

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

package main

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

func main() {

	url := "https://api.morphllm.com/v1/fine_tuning/jobs/{job_id}"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

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

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

	fmt.Println(string(body))

}

require 'uri'
require 'net/http'

url = URI("https://api.morphllm.com/v1/fine_tuning/jobs/{job_id}")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "id": "ftjob-a1b2c3d4-5e6f-7a8b-9c0d-1e2f3a4b5c6d",
  "object": "fine_tuning.job",
  "model": "guardrail",
  "created_at": 1780107000,
  "finished_at": 1780107148,
  "fine_tuned_model": "support-classifier",
  "status": "succeeded",
  "labels": [
    "billing",
    "bug"
  ],
  "trained_examples": 10,
  "hyperparameters": {
    "n_epochs": 3,
    "batch_size": "auto",
    "learning_rate_multiplier": "auto"
  },
  "result": {
    "accuracy": 0.95,
    "f1_score": 0.94
  },
  "error": null,
  "suffix": "support-classifier"
}

{
  "error": {
    "code": "invalid_request_error",
    "message": "The request body is missing the `model` field."
  }
}

{
  "error": {
    "code": "unauthorized",
    "message": "Invalid API key provided."
  }
}

{
  "error": {
    "code": "not_found",
    "message": "No fine-tuning job found with id ftjob-8f2k1."
  }
}

{
  "error": {
    "code": "rate_limited",
    "message": "Too many requests. Retry in 12 seconds."
  }
}

{
  "error": {
    "code": "internal_error",
    "message": "Something went wrong on our side."
  }
}

Overview

Returns a single job, including status and — once the job succeeds — the fine_tuned_model id to use for prediction.

Authorizations

Authorization

string

header

required

Morph API key, passed as Authorization: Bearer sk-.... Create keys at https://www.morphllm.com/dashboard/api-keys.

Path Parameters

job_id

string

required

Identifies the job to read. The ftjob- prefixed id returned when the job was created.

Example:

"ftjob-a1b2c3d4-5e6f-7a8b-9c0d-1e2f3a4b5c6d"

Response

The job.

An OpenAI-compatible fine_tuning.job, with additive Reflex fields (labels, trained_examples, result, suffix).

string

required

Job id, prefixed ftjob-.

Example:

"ftjob-a1b2c3d4-5e6f-7a8b-9c0d-1e2f3a4b5c6d"

object

string

required

Always fine_tuning.job.

Example:

"fine_tuning.job"

model

string

required

What the job trained from: the reflex you warm-started from, or the from-scratch base for a cold start.

Example:

"guardrail"

created_at

integer

required

Unix timestamp (seconds) at creation.

Example:

1780107000

finished_at

integer | null

required

Unix timestamp at a terminal state, else null.

Example:

1780107148

fine_tuned_model

string | null

required

Served model name once succeeded (the suffix, or the job id if none).

Example:

"support-classifier"

status

enum<string>

required

validating_files is the data-prep phase for generate/label_data jobs.

Available options:

queued,

validating_files,

running,

succeeded,

failed,

cancelled

Example:

"succeeded"

labels

string[]

required

The classes this job trained on.

One class the model predicts.

Example:

["billing", "bug"]

trained_examples

integer

required

Number of training examples.

Example:

10

hyperparameters

object

required

Fully managed.

Show child attributes

Example:

{
  "n_epochs": 3,
  "batch_size": "auto",
  "learning_rate_multiplier": "auto"
}

result

object | null

required

{accuracy, f1_score} when succeeded, else null. Each value may be null.

Show child attributes

Example:

{ "accuracy": 0.95, "f1_score": 0.94 }

error

object | null

required

{code, message, param} when failed, else null.

Show child attributes

Example:

{
  "code": "invalid_training_data",
  "message": "Every label needs at least 5 examples.",
  "param": "training_data"
}

suffix

string | null

required

The suffix supplied at creation, else null.

Example:

"support-classifier"

Retrieve a job

curl --request GET \
  --url https://api.morphllm.com/v1/fine_tuning/jobs/{job_id} \
  --header 'Authorization: Bearer <token>'

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.morphllm.com/v1/fine_tuning/jobs/{job_id}', 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://api.morphllm.com/v1/fine_tuning/jobs/{job_id}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

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

curl_close($curl);

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

package main

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

func main() {

	url := "https://api.morphllm.com/v1/fine_tuning/jobs/{job_id}"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

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

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

	fmt.Println(string(body))

}

require 'uri'
require 'net/http'

url = URI("https://api.morphllm.com/v1/fine_tuning/jobs/{job_id}")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "id": "ftjob-a1b2c3d4-5e6f-7a8b-9c0d-1e2f3a4b5c6d",
  "object": "fine_tuning.job",
  "model": "guardrail",
  "created_at": 1780107000,
  "finished_at": 1780107148,
  "fine_tuned_model": "support-classifier",
  "status": "succeeded",
  "labels": [
    "billing",
    "bug"
  ],
  "trained_examples": 10,
  "hyperparameters": {
    "n_epochs": 3,
    "batch_size": "auto",
    "learning_rate_multiplier": "auto"
  },
  "result": {
    "accuracy": 0.95,
    "f1_score": 0.94
  },
  "error": null,
  "suffix": "support-classifier"
}

{
  "error": {
    "code": "invalid_request_error",
    "message": "The request body is missing the `model` field."
  }
}

{
  "error": {
    "code": "unauthorized",
    "message": "Invalid API key provided."
  }
}

{
  "error": {
    "code": "not_found",
    "message": "No fine-tuning job found with id ftjob-8f2k1."
  }
}

{
  "error": {
    "code": "rate_limited",
    "message": "Too many requests. Retry in 12 seconds."
  }
}

{
  "error": {
    "code": "internal_error",
    "message": "Something went wrong on our side."
  }
}

Get Started

Models

API Reference

Integrations

Overview

Authorizations

Path Parameters

Response

​Overview

Authorizations

Path Parameters

Response

Overview