NAME
OpenAPI::Client::OpenAI::Path::fine_tuning-jobs-fine_tuning_job_id-checkpoints - Documentation for the /fine_tuning/jobs/{fine_tuning_job_id}/checkpoints path.
DESCRIPTION
This document describes the API endpoint at /fine_tuning/jobs/{fine_tuning_job_id}/checkpoints
.
PATHS
GET /fine_tuning/jobs/{fine_tuning_job_id}/checkpoints
List checkpoints for a fine-tuning job.
Operation ID
listFineTuningJobCheckpoints
$client->listFineTuningJobCheckpoints( ... );
Parameters
fine_tuning_job_id
(in path) (Required) - The ID of the fine-tuning job to get checkpoints for.Type:
string
after
(in query) (Optional) - Identifier for the last checkpoint ID from the previous pagination request.Type:
string
limit
(in query) (Optional) - Number of checkpoints to retrieve.Type:
integer
Default:
10
Responses
Status Code: 200
OK
Content Types:
application/json
Example (See the OpenAI spec for more detail):
{ "data" : [ "{\n \"object\": \"fine_tuning.job.checkpoint\",\n \"id\": \"ftckpt_qtZ5Gyk4BLq1SfLFWp3RtO3P\",\n \"created_at\": 1712211699,\n \"fine_tuned_model_checkpoint\": \"ft:gpt-4o-mini-2024-07-18:my-org:custom_suffix:9ABel2dg:ckpt-step-88\",\n \"fine_tuning_job_id\": \"ftjob-fpbNQ3H1GrMehXRf8cO97xTN\",\n \"metrics\": {\n \"step\": 88,\n \"train_loss\": 0.478,\n \"train_mean_token_accuracy\": 0.924,\n \"valid_loss\": 10.112,\n \"valid_mean_token_accuracy\": 0.145,\n \"full_valid_loss\": 0.567,\n \"full_valid_mean_token_accuracy\": 0.944\n },\n \"step_number\": 88\n}\n" ] }
SEE ALSO
COPYRIGHT AND LICENSE
Copyright (C) 2023-2025 by Nelson Ferraz
This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself, either Perl version 5.14.0 or, at your option, any later version of Perl 5 you may have available.