500 Internal Server Error when fine tuning a fine tuned model

API Bugs
4

The only parameter that needs to change is the model name. You can reuse the same JSON as would originally have trained a model, to weight the fine-tuning deeper or to impart a known skill across models.

Here is a post with a script for fine-tune, also polling until success, needing only the JSONL file by its local name, and with other parameters up at the top (not attempting a validation file).

And just to show that you can upload the same filename, and even the identical file, multiple times:

if __name__ == '__main__':
    file_id = upload_file(jsonl_file_path)
    file_id = upload_file(jsonl_file_path)
    file_id = upload_file(jsonl_file_path)
    file_id = upload_file(jsonl_file_path)

Uploading file…
File uploaded successfully. File ID: file-gpkX51fSnjHYia40vFDL8acS
Uploading file…
File uploaded successfully. File ID: file-KXWKWEeiEodKKvgJixj2nzpF
Uploading file…
File uploaded successfully. File ID: file-HqvmFTlYQxCjiJZh6LMn3uzD
Uploading file…
File uploaded successfully. File ID: file-NAoIjftViXhEBKXnqiZ9TYaq