“No inf checks were recorded for this optimizer.“ AssertionError:错误解决

问题1

主要是深拷贝会破坏一些模型的特性，模型被

self.best_model = copy.deepcopy(model).cpu()

保存之后，保存就只能保存模型的参数了，而不能保存全部的模型

torch.save(self.best_model.state_dict(),'...')

再调用的时候定义完模型直接调用参数

model.load_state_dict(torch.load('model.pth'))

问题2

change the

optimizer = torch.optim.AdamW(model.parameters(),lr=1e-5)
deberta = DebertaV2Model.from_pretrained("/home/xiaoguzai/模型/deberta-v3-large")
model = ClassificationModel(deberta)

to

deberta = DebertaV2Model.from_pretrained("/home/xiaoguzai/模型/deberta-v3-large")
model = ClassificationModel(deberta)
optimizer = torch.optim.AdamW(model.parameters(),lr=1e-5)

Because at the first one,

original AdamW(model.parameters(),lr=1e-5) 

refer to the model below,
but at the second one,

AdamW(model.parameters(),lr=1e-5)

refer to the real model