Fine-Tuning
Fine-tuning is a technique used to adapt the smaller model to a specific task or dataset. The goal of fine-tuning is to adjust the weights and biases of the smaller model to better fit the task-specific data. There are several techniques used for fine-tuning, including:
- Supervised fine-tuning: Training the smaller model on a supervised dataset to adjust the weights and biases.
- Unsupervised fine-tuning: Training the smaller model on an unsupervised dataset to adjust the weights and biases.
- Self-supervised fine-tuning: Training the smaller model on a self-supervised dataset to adjust the weights and biases.