How can you evaluate the fairness of a fine-tuned model?

Jun 3, 2019 ... Fine-tuning is a super-powerful method to obtain image classifiers on your own custom datasets from pre-trained CNNs (and is even more powerful ... Learn the fundamentals of finetuning a large language model (LLM). Understand how finetuning differs from prompt engineering, and when to use both. Jan 24, 2022 ... Create training data · With your imagery selected in the Contents pane, go to the Imagery tab on the top ribbon and click Classification Tools > ... Chong Zhang 1, (张翀) Student Member, CCF,; Hong-Zhi Wang 1, (王宏志) Senior Member, IEEE, Member, CCF,; Hong-Wei Liu 1, , (刘宏伟) Member, CCF, ... Sep 21, 2023 ... What is Fine-Tuning? Fine-tuning in deep learning is a form of transfer learning. It involves taking a pre-trained model, which has been ... Nov 7, 2020 ... This study aimed at evaluating the layer depths and degree of fine-tuning on transfer learning with a deep convolutional neural network (CNN)-based COVID-19 ... In this work, the focus was on fine-tuning and evaluation of state-of-the-art deep convolutional neural network for image-based plant disease classification. Dec 5, 2023 ... 1. Hyperparameter Tuning. This involves adjusting the model's parameters to improve performance. · 2. Transfer Learning. Leveraging pre-trained ... Jul 13, 2023 ... Fine-tuning to another language ... What is the best option, if we need a model for a downstream task in another language from the base model? Oct 15, 2024 ... ... Fine-tuning deep learning architectures for early detection of oral cancer. In: 2nd International Symposium on Mathematical and ...