Fine-tune GPT-2 with your custom text dataset
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Fine-tune Gemma models on custom datasets
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One-Stop Gemma Model Fine-tuning, Quantization & Conversion
Project is a Fine Tuning Tool designed to help users customize and fine-tune the GPT-2 model using their own text datasets. It provides an efficient and user-friendly way to adapt the model to specific tasks or domains, enabling tailored outputs for various applications.
Who is Project best suited for?
Project is ideal for developers, researchers, and data scientists looking to adapt GPT-2 for specific tasks or domains.
What format should my dataset be in?
Your dataset should be in a plain text format, with each entry separated by a newline or other delimiter as specified in the tool's documentation.
Can I fine-tune the model for multiple tasks at once?
Yes, Project supports multi-task fine-tuning, allowing you to train the model for various applications simultaneously.