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What Is the Training Loss in Fine-Tuning?
Fine-tuning a pre-trained model is a popular method in machine learning. It allows us to adapt a model, already skilled in a broad area, to a specific task with limited data. A very important part of this process is watching the training loss. This value shows us how well our model is learning, and it guides us toward a better final result.
Written byDustin Collins
Published onJanuary 27, 2025
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