Nice to see a practical walkthrough of pretraining instead of only fine-tuning examples. Most people don’t realize how much of the work sits in data prep, stable training loops, and managing compute. Even a small BERT run is a good reminder of the gap between theory and an actual training pipeline.
Good walkthrough for anyone curious about what it actually takes to pretrain a model instead of only fine-tuning one. Most people don’t realize how much data prep and infrastructure work sits behind even a small BERT run. It is useful to see a clear, practical example that shows the full process instead of only the theory.
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