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训练后的模型会非常的大，比如原本 2g 的模型，完全训练后会有 4g 多，当然这已经是删除了检查点后的大小。比如量化参数或压缩模型等手段来缩小模型。 1.2、微调模型 在预训练模型的. Model.train ()和model.eval () 我们知道，在pytorch中，模型有两种模式可以设置，一个是train模式、另一个是eval模式。 model.train ()的作用是启用 batch normalization 和 dropout。在train. Train on meaning to aim is a completely different meaning of train, and there should be no overlap between this meaning and the meaning of teach in the original sentence.
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Train loss 是训练数据上的损失，衡量模型在训练集上的拟合能力。val loss是在验证集上的损失，衡量的是在未见过数据上的拟合能力，也可以说是 泛化能力。模型的真正效果.
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