为了完成传递接力棒的类比,让我们探索如何使用 OpenAI 的文件 API 将准备好的 JSONL 文件上传到 OpenAI,使我们能够更进一步地微调模型。
上传文件的分步指南
先决条件
pip install openai
_上传文件到OpenAI_
from openai import OpenAI client = OpenAI() # File paths for training and testing datasets file_paths = { "train": "train.jsonl", "test": "test.jsonl" } # Function to upload a file def upload_file(file_path, purpose="fine-tune"): try: response = client.files.create( file=open(file_path, "rb"), purpose=purpose ) print(f"File uploaded successfully: {file_path}") print(f"File ID: {response['id']}") return response["id"] except Exception as e: print(f"Failed to upload {file_path}: {e}") return None # Upload both training and test files file_ids = {split: upload_file(file_paths[split]) for split in file_paths} print("Uploaded file IDs:", file_ids)
代码说明
API 密钥设置:
文件路径:
上传文件:
错误处理:
文件 ID:
输出示例
如果上传成功,您会看到如下内容:
File uploaded successfully: dataset/train.jsonl File ID: file-abc123xyz456 File uploaded successfully: dataset/test.jsonl File ID: file-def789uvw012 Uploaded file IDs: {'train': 'file-abc123xyz456', 'test': 'file-def789uvw012'}
为什么这一步很重要?
上传 JSONL 文件类似于六三八将已分类的邮件移交给邮政服务进行最终投递。如果没有这一步,微调过程就无法继续,因为 OpenAI 的基础设施需要访问结构化的、经过验证的数据来有效地训练模型。
上传后,接力棒已传递给 OpenAI,您就可以继续使用这些文件对模型进行微调。
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