What Does Fine-tuning Do?
Fine-tuning is a technique used to adapt a pre-trained model to a new task. By providing the model with your specific data, you can significantly improve its performance on your unique use case.
What to Expect After Clicking “Fine-tune Notebook”
Clicking the “Fine-tune Notebook” button will launch a single instance:
- Jupyter Notebook: This notebook environment will run on an NVIDIA T4 GPU instance, providing the necessary processing power for fine-tuning the model. The notebook will contain the code you can edit to customize the model for your task.
On Which Instance Will the Notebook Run?
The Jupyter Notebook will run on an NVIDIA T4 GPU instance. This powerful GPU instance is ideal for handling the computational demands of fine-tuning models. The cost of this instance is $2 per hour on the QUBRID AI platform.
Important Note:
The T4 GPU instance will be automatically terminated after 1 hour . Make sure to save your work before this time to avoid losing progress.
FAQs
Q: The cells are not executing because a package is missing
A: We provide a requirements.txt file and a code line within the Jupyter Notebook. To install the missing packages, follow these steps:
- Open the cell containing the code line provided (it might be named “Install Dependencies” or similar).
- Run that code line.
- After successful execution, restart the Jupyter kernel using the “Kernel” menu -> “Restart” within the notebook. This will ensure the newly installed packages are available for use.
Q: How long does it take to fine-tune a model?
A: The time it takes to fine-tune a model depends on the complexity of the model and the size of your data. It can range from minutes to hours.
Q: Can I save my fine-tuned model?
A: Yes, you can save your fine-tuned model within the Jupyter Notebook environment.
Q: What happens to my fine-tuned model after the instance is terminated?
A: You will need to download the model before the instance is terminated to save your work.