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Dataset Creation
GPT-Fine-Tuning-Formatter

GPT-Fine-Tuning-Formatter

Validate JSONL format for fine-tuning

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What is GPT-Fine-Tuning-Formatter ?

GPT-Fine-Tuning-Formatter is a tool designed to validate and format JSONL datasets for fine-tuning GPT models. It ensures that your dataset adheres to the required structure and format, making it ready for model fine-tuning. This tool is essential for anyone preparing datasets for training or adjusting GPT models, as it helps identify and correct formatting issues before the fine-tuning process begins.

Features

• JSONL Validation: Ensures that each line in your dataset is valid JSON.
• Error Detection: Identifies formatting issues such as missing fields or invalid structures.
• Data Preview: Provides a preview of your dataset to help you understand its structure.
• Auto-Correction: Automatically fixes common formatting errors.
• Custom Schema Support: Allows you to define a custom schema for advanced validation.

How to use GPT-Fine-Tuning-Formatter ?

  1. Install the Tool: Run the installation command to set up GPT-Fine-Tuning-Formatter.
  2. Run the Validator: Use the tool to validate your dataset by providing the path to your JSONL file.
  3. Review Errors: Check the output for any formatting issues or errors.
  4. Correct Issues: Fix the identified issues manually or use the auto-correction feature.
  5. Re-Validate: Run the tool again to ensure your dataset is properly formatted.

Frequently Asked Questions

1. What happens if my JSONL file is invalid?
If your JSONL file is invalid, GPT-Fine-Tuning-Formatter will identify the errors and provide a detailed report. You can then fix these issues before proceeding with fine-tuning.

2. Can GPT-Fine-Tuning-Formatter fix errors automatically?
Yes, the tool includes an auto-correction feature that can fix common formatting errors. However, for complex issues, manual intervention may be required.

3. How do I use a custom schema with GPT-Fine-Tuning-Formatter?
You can define a custom schema in a separate JSON file and specify its path when running the tool. This allows you to enforce specific data structures beyond basic validation.

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