Fine-tuning

List fine tuning events

GET /openai/v1/fine_tuning/jobs/{fine_tuning_job_id}/events

Lists fine tuning events matching the request filters.

Path parameters

fine_tuning_job_id string required

The ID of the fine-tuning job to get events for.

Query parameters

after string

Identifier for the last event from the previous pagination request.

limit integer

Number of events to retrieve.

Responses

The request has succeeded.

Body

Content-Type: application/json

data OpenAI.FineTuningJobEvent[] required

object enum required

list

has_more boolean required

Request

curl https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/events \
  -H "Authorization: Bearer $OPENAI_API_KEY"

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),  # This is the default and can be omitted
)
page = client.fine_tuning.jobs.list_events(
    fine_tuning_job_id="ft-AF1WoRqd3aJAHsqc9NY7iL8F",
)
page = page.data[0]
print(page.id)

import OpenAI from "openai";

const openai = new OpenAI();

async function main() {
  const list = await openai.fineTuning.list_events(id="ftjob-abc123", limit=2);

  for await (const fineTune of list) {
    console.log(fineTune);
  }
}

main();

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
});

// Automatically fetches more pages as needed.
for await (const fineTuningJobEvent of client.fineTuning.jobs.listEvents(
  'ft-AF1WoRqd3aJAHsqc9NY7iL8F',
)) {
  console.log(fineTuningJobEvent.id);
}

package main

import (
    "context"
    "fmt"

    "github.com/openai/openai-go"
    "github.com/openai/openai-go/option"
)

func main() {
    client := openai.NewClient(
        option.WithAPIKey("My API Key"),
    )
    page, err := client.FineTuning.Jobs.ListEvents(
        context.TODO(),
        "ft-AF1WoRqd3aJAHsqc9NY7iL8F",
        openai.FineTuningJobListEventsParams{},
    )
    if err != nil {
        panic(err.Error())
    }
    fmt.Printf("%+v
", page)
}

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.finetuning.jobs.JobListEventsPage;
import com.openai.models.finetuning.jobs.JobListEventsParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        JobListEventsPage page = client.fineTuning().jobs().listEvents("ft-AF1WoRqd3aJAHsqc9NY7iL8F");
    }
}

require "openai"

openai = OpenAI::Client.new(api_key: "My API Key")

page = openai.fine_tuning.jobs.list_events("ft-AF1WoRqd3aJAHsqc9NY7iL8F")

puts(page)

Response

{
  "object": "list",
  "data": [
    {
      "object": "fine_tuning.job.event",
      "id": "ft-event-ddTJfwuMVpfLXseO0Am0Gqjm",
      "created_at": 1721764800,
      "level": "info",
      "message": "Fine tuning job successfully completed",
      "data": null,
      "type": "message"
    },
    {
      "object": "fine_tuning.job.event",
      "id": "ft-event-tyiGuB72evQncpH87xe505Sv",
      "created_at": 1721764800,
      "level": "info",
      "message": "New fine-tuned model created: ft:gpt-4o-mini:openai::7p4lURel",
      "data": null,
      "type": "message"
    }
  ],
  "has_more": true
}