Load DistilBERT with a new 77-class head and fine-tune it: learning rate 2e-5 to 5e-5, 3–5 epochs, batch 32, evaluate every epoch, keep the best model. Write a compute_metrics function for accuracy and macro-F1. Use a GPU (Colab) — training takes a few minutes.
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