Looking to fine-tune an ML modelI am currently working on developing a machine learning model, focusing on refining its accuracy and performance through a comprehensive fine-tuning process. To enhance the model's capabilities, I am gathering relevant data, ensuring it represents diverse scenarios and edge cases. By continuously collecting high-quality data, I aim to improve the model's generalization ability, making it more robust and reliable in real-world applications. The fine-tuning process involves iterating over multiple training phases, adjusting parameters, and evaluating its performance on validation sets to ensure it delivers optimal results. Through this iterative approach, I plan to build a model that performs well across various conditions, ultimately achieving a high level of accuracy.
Read More