Tag: PyTorch
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Supervised Fine-Tuning End to End: The First Real Run
A full supervised fine-tune twice over: a bare PyTorch loop and the same job through a trainer. Hyperparameters that work, plus how…
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Choosing a Base Model and Building a Fine-Tuning Bench
How to pick a base model for fine-tuning, three candidates read as datasheets, where to run the bench, and the toolchain stack…