What are the metrics used to evaluate the performance of a fine-tuned model?

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? Barakat, Basel and Huang, Qiang. 2024. 'Enhancing Transfer Learning Reliability via Block-wise Fine-tuning'. In: 2023 International Conference on Machine ... Jun 10, 2024 ... By fine-tuning only the adapter layers, the original parameters of ... Our research in machine learning breaks new ground every day. Fine-Tuning in Modern Machine Learning: Principles and Scalability. Fanghui Liu, Grigorios Chrysos, Beidi Chen, Rebekka Burkholz, Saleh Soltan, Angeliki ... Deep neural networks have been highly successful across a multitude of domains, from computer vision [1, 2] and natural language processing [3, 4], to game ... 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 ... We investigate generalization properties of fine-tuning to understand the problem of overfitting, which often happens in practice. Jan 31, 2025 ... Transforming a foundation LLM into a solution that meets an application's needs requires a process called fine-tuning. Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. IEEE Trans Med Imaging. 2018 Jul;37(7):1562-1573. doi: 10.1109 ... Aug 24, 2016 ... Here in Part 2, I describe Deep Convolutional Neural Networks (DCNNs) and how Transfer learning and Fine-tuning helps better the training process for domain ...