NAME
OpenAPI::Client::OpenAI::Path::fine_tuning-jobs-fine_tuning_job_id - Documentation for the /fine_tuning/jobs/{fine_tuning_job_id} path.
DESCRIPTION
This document describes the API endpoint at /fine_tuning/jobs/{fine_tuning_job_id}
.
PATHS
GET /fine_tuning/jobs/{fine_tuning_job_id}
Get info about a fine-tuning job.
Operation ID
retrieveFineTuningJob
$client
->retrieveFineTuningJob( ... );
Parameters
fine_tuning_job_id
(in path) (Required) - The ID of the fine-tuning job.Type:
string
Responses
Status Code: 200
OK
Content Types:
application/json
Example (See the OpenAI spec for more detail):
{
"object"
:
"fine_tuning.job"
,
"id"
:
"ftjob-abc123"
,
"model"
:
"davinci-002"
,
"created_at"
: 1692661014,
"finished_at"
: 1692661190,
"fine_tuned_model"
:
"ft:davinci-002:my-org:custom_suffix:7q8mpxmy"
,
"organization_id"
:
"org-123"
,
"result_files"
: [
"file-abc123"
],
"status"
:
"succeeded"
,
"validation_file"
: null,
"training_file"
:
"file-abc123"
,
"hyperparameters"
: {
"n_epochs"
: 4,
"batch_size"
: 1,
"learning_rate_multiplier"
: 1.0
},
"trained_tokens"
: 5768,
"integrations"
: [],
"seed"
: 0,
"estimated_finish"
: 0,
"method"
: {
"type"
:
"supervised"
,
"supervised"
: {
"hyperparameters"
: {
"n_epochs"
: 4,
"batch_size"
: 1,
"learning_rate_multiplier"
: 1.0
}
}
},
"metadata"
: {
"key"
:
"value"
}
}
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.