Get job by ID

Get Job Status

curl --request GET \
  --url https://training-service-433968519479.us-central1.run.app/jobs/{job_id}

const options = {method: 'GET'};

fetch('https://training-service-433968519479.us-central1.run.app/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://training-service-433968519479.us-central1.run.app/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",
]);

$response = curl_exec($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://training-service-433968519479.us-central1.run.app/jobs/{job_id}"

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

	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://training-service-433968519479.us-central1.run.app/jobs/{job_id}")

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

request = Net::HTTP::Get.new(url)

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

{
  "job_name": "<string>",
  "modality": "text",
  "wandb_url": "<string>",
  "processed_dataset_id": "<string>",
  "adapter_path": "<string>",
  "base_model_id": "<string>",
  "gguf_path": "<string>",
  "metrics": {
    "accuracy": 123,
    "perplexity": 123,
    "eval_loss": 123,
    "eval_runtime": 123
  },
  "error": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

GET

jobs

{job_id}

Get Job Status

curl --request GET \
  --url https://training-service-433968519479.us-central1.run.app/jobs/{job_id}

const options = {method: 'GET'};

fetch('https://training-service-433968519479.us-central1.run.app/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://training-service-433968519479.us-central1.run.app/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",
]);

$response = curl_exec($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://training-service-433968519479.us-central1.run.app/jobs/{job_id}"

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

	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://training-service-433968519479.us-central1.run.app/jobs/{job_id}")

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

request = Net::HTTP::Get.new(url)

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

{
  "job_name": "<string>",
  "modality": "text",
  "wandb_url": "<string>",
  "processed_dataset_id": "<string>",
  "adapter_path": "<string>",
  "base_model_id": "<string>",
  "gguf_path": "<string>",
  "metrics": {
    "accuracy": 123,
    "perplexity": 123,
    "eval_loss": 123,
    "eval_runtime": 123
  },
  "error": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

Path Parameters

job_id

string

required

Response

Successful Response

job_name

string

required

status

enum<string>

required

Available options:

queued,

preparing,

training,

completed,

failed

modality

enum<string> | null

default:text

Available options:

text,

vision

wandb_url

string | null

processed_dataset_id

string | null

adapter_path

string | null

base_model_id

string | null

gguf_path

string | null

metrics

EvaluationMetrics · object | null

Evaluation metrics structure to hold results after training. This is used to store metrics like accuracy, loss, etc.

Show child attributes

error

string | null

Jobs Train model

API documentation

Dataset preprocessing

Training

Inference

Export

Path Parameters

Response