I do not know of anything like accuracy of a regression model. Instead, you can try using Loss functions like Mean Squared Error (MSE). Example
>>> loss = nn.MSELoss()
>>> input = torch.randn(3, 5, requires_grad=True)
>>> target = torch.randn(3, 5)
>>> output = loss(input, target)

In your case input  is [53,1] and target is also [53,1] as you expalined.
Source  MSE in Pytorch 6
Hope it helps