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- 針對模型進行評估
- 了解 NLP 模型在實際應用中的挑戰，例如過擬合、模型效率等
- loss代表甚麼
- overfit/ underfit
- F1/ precision/ recall
- 學習 NLP 模型的常用技巧，例如超參數調整、模型融合等
- learning-rate
- batch_size
- num_train_epochs
- weight_decay
- 如何上傳模型到
huggingface ref
