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Update AerialImageSementation Task5.md #4

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14 changes: 7 additions & 7 deletions AerialImageSegmentation/Task5：模型训练与验证.md
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Original file line number Diff line number Diff line change
Expand Up @@ -80,15 +80,15 @@ criterion = nn.CrossEntropyLoss(size_average=False)
optimizer = torch.optim.Adam(model.parameters(), 0.001)
best_loss = 1000.0
for epoch in range(20):
print('Epoch: ', epoch)
print('Epoch: ', epoch)

train(train_loader, model, criterion, optimizer, epoch)
val_loss = validate(val_loader, model, criterion)
train(train_loader, model, criterion, optimizer, epoch)
val_loss = validate(val_loader, model, criterion)

# 记录下验证集精度
if val_loss < best_loss:
best_loss = val_loss
torch.save(model.state_dict(), './model.pt')
# 记录下验证集精度
if val_loss < best_loss:
best_loss = val_loss
torch.save(model.state_dict(), './model.pt')
```

其中每个Epoch的训练代码如下：
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