Create a new fine-tuning job
curl --request POST \
--url https://api.example.com/v1/fine-tuning \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"base_model_name": "<string>",
"dataset_name": "<string>",
"parameters": {
"batch_size": 8,
"num_epochs": 3,
"shuffle": true,
"lr": 0.0003,
"seed": 42
},
"name": "<string>"
}
'import requests
url = "https://api.example.com/v1/fine-tuning"
payload = {
"base_model_name": "<string>",
"dataset_name": "<string>",
"parameters": {
"batch_size": 8,
"num_epochs": 3,
"shuffle": True,
"lr": 0.0003,
"seed": 42
},
"name": "<string>"
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
base_model_name: '<string>',
dataset_name: '<string>',
parameters: {batch_size: 8, num_epochs: 3, shuffle: true, lr: 0.0003, seed: 42},
name: '<string>'
})
};
fetch('https://api.example.com/v1/fine-tuning', 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.example.com/v1/fine-tuning",
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([
'base_model_name' => '<string>',
'dataset_name' => '<string>',
'parameters' => [
'batch_size' => 8,
'num_epochs' => 3,
'shuffle' => true,
'lr' => 0.0003,
'seed' => 42
],
'name' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($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://api.example.com/v1/fine-tuning"
payload := strings.NewReader("{\n \"base_model_name\": \"<string>\",\n \"dataset_name\": \"<string>\",\n \"parameters\": {\n \"batch_size\": 8,\n \"num_epochs\": 3,\n \"shuffle\": true,\n \"lr\": 0.0003,\n \"seed\": 42\n },\n \"name\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
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://api.example.com/v1/fine-tuning")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"base_model_name\": \"<string>\",\n \"dataset_name\": \"<string>\",\n \"parameters\": {\n \"batch_size\": 8,\n \"num_epochs\": 3,\n \"shuffle\": true,\n \"lr\": 0.0003,\n \"seed\": 42\n },\n \"name\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/v1/fine-tuning")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"base_model_name\": \"<string>\",\n \"dataset_name\": \"<string>\",\n \"parameters\": {\n \"batch_size\": 8,\n \"num_epochs\": 3,\n \"shuffle\": true,\n \"lr\": 0.0003,\n \"seed\": 42\n },\n \"name\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"base_model_name": "<string>",
"dataset_name": "<string>",
"name": "<string>",
"current_step": 123,
"total_steps": 123,
"current_epoch": 123,
"total_epochs": 123,
"num_tokens": 123
}{
"status": 123,
"message": "<string>"
}{
"status": 123,
"message": "<string>"
}Fine-tuning Jobs
Create a new fine-tuning job
POST
/
v1
/
fine-tuning
Create a new fine-tuning job
curl --request POST \
--url https://api.example.com/v1/fine-tuning \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"base_model_name": "<string>",
"dataset_name": "<string>",
"parameters": {
"batch_size": 8,
"num_epochs": 3,
"shuffle": true,
"lr": 0.0003,
"seed": 42
},
"name": "<string>"
}
'import requests
url = "https://api.example.com/v1/fine-tuning"
payload = {
"base_model_name": "<string>",
"dataset_name": "<string>",
"parameters": {
"batch_size": 8,
"num_epochs": 3,
"shuffle": True,
"lr": 0.0003,
"seed": 42
},
"name": "<string>"
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
base_model_name: '<string>',
dataset_name: '<string>',
parameters: {batch_size: 8, num_epochs: 3, shuffle: true, lr: 0.0003, seed: 42},
name: '<string>'
})
};
fetch('https://api.example.com/v1/fine-tuning', 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.example.com/v1/fine-tuning",
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([
'base_model_name' => '<string>',
'dataset_name' => '<string>',
'parameters' => [
'batch_size' => 8,
'num_epochs' => 3,
'shuffle' => true,
'lr' => 0.0003,
'seed' => 42
],
'name' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($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://api.example.com/v1/fine-tuning"
payload := strings.NewReader("{\n \"base_model_name\": \"<string>\",\n \"dataset_name\": \"<string>\",\n \"parameters\": {\n \"batch_size\": 8,\n \"num_epochs\": 3,\n \"shuffle\": true,\n \"lr\": 0.0003,\n \"seed\": 42\n },\n \"name\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
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://api.example.com/v1/fine-tuning")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"base_model_name\": \"<string>\",\n \"dataset_name\": \"<string>\",\n \"parameters\": {\n \"batch_size\": 8,\n \"num_epochs\": 3,\n \"shuffle\": true,\n \"lr\": 0.0003,\n \"seed\": 42\n },\n \"name\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/v1/fine-tuning")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"base_model_name\": \"<string>\",\n \"dataset_name\": \"<string>\",\n \"parameters\": {\n \"batch_size\": 8,\n \"num_epochs\": 3,\n \"shuffle\": true,\n \"lr\": 0.0003,\n \"seed\": 42\n },\n \"name\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"base_model_name": "<string>",
"dataset_name": "<string>",
"name": "<string>",
"current_step": 123,
"total_steps": 123,
"current_epoch": 123,
"total_epochs": 123,
"num_tokens": 123
}{
"status": 123,
"message": "<string>"
}{
"status": 123,
"message": "<string>"
}Authorizations
Body
application/json
Response
Created
Available options:
NEW, QUEUED, RUNNING, COMPLETED, FAILED, STOPPING, STOPPED Available options:
LORA, QLORA Number of tokens processed in the fine-tuning job
⌘I