[Obsoleto] Reanudar un trabajo de ajuste fino

curl --request POST \
  --url https://apigw.mka1.com/api/v1/llm/fine_tuning/jobs/{fine_tuning_job_id}/resume \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://apigw.mka1.com/api/v1/llm/fine_tuning/jobs/{fine_tuning_job_id}/resume"

headers = {"Authorization": "Bearer <token>"}

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

print(response.text)

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

fetch('https://apigw.mka1.com/api/v1/llm/fine_tuning/jobs/{fine_tuning_job_id}/resume', 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://apigw.mka1.com/api/v1/llm/fine_tuning/jobs/{fine_tuning_job_id}/resume",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  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://apigw.mka1.com/api/v1/llm/fine_tuning/jobs/{fine_tuning_job_id}/resume"

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

}

HttpResponse<String> response = Unirest.post("https://apigw.mka1.com/api/v1/llm/fine_tuning/jobs/{fine_tuning_job_id}/resume")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://apigw.mka1.com/api/v1/llm/fine_tuning/jobs/{fine_tuning_job_id}/resume")

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

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

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

{
  "id": "<string>",
  "object": "fine_tuning.job",
  "created_at": 0,
  "model": "<string>",
  "training_file": "<string>",
  "organization_id": "<string>",
  "status": "validating_files",
  "result_files": [
    "<string>"
  ],
  "seed": 0,
  "hyperparameters": {
    "batch_size": "auto",
    "learning_rate_multiplier": "auto",
    "n_epochs": "auto"
  },
  "validation_file": "<string>",
  "fine_tuned_model": "<string>",
  "method": {
    "type": "supervised",
    "supervised": {
      "hyperparameters": {
        "batch_size": "auto",
        "learning_rate_multiplier": "auto",
        "n_epochs": "auto"
      }
    },
    "dpo": {
      "hyperparameters": {
        "batch_size": "auto",
        "beta": "auto",
        "learning_rate_multiplier": "auto",
        "n_epochs": "auto"
      }
    },
    "reinforcement": {
      "grader": {
        "type": "string_check",
        "name": "<string>",
        "input": "<string>",
        "reference": "<string>",
        "operation": "eq"
      },
      "hyperparameters": {
        "batch_size": "auto",
        "compute_multiplier": "auto",
        "eval_interval": "auto",
        "eval_samples": "auto",
        "learning_rate_multiplier": "auto",
        "n_epochs": "auto",
        "reasoning_effort": "default"
      }
    }
  },
  "finished_at": 0,
  "estimated_finish": 0,
  "trained_tokens": 0,
  "error": {
    "code": "<string>",
    "message": "<string>",
    "param": "<string>"
  },
  "integrations": [
    {
      "type": "wandb",
      "wandb": {
        "project": "<string>",
        "entity": "<string>",
        "name": "<string>",
        "tags": [
          "<string>"
        ]
      }
    }
  ],
  "metadata": {},
  "suffix": "<string>"
}