Validate JSONL format for fine-tuning
Manage and annotate datasets
Browse a list of machine learning datasets
Provide feedback on AI responses to prompts
Search narrators and view network connections
Manage and label your datasets
ReWrite datasets with a text instruction
Create and validate structured metadata for datasets
Build datasets using natural language
Browse and search datasets
Access NLPre-PL dataset and pre-trained models
Create datasets with FAQs and SFT prompts
Display instructional dataset
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.
• 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.
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.