Output Error message

Output with Error message

Epoch 0 loss: 0.334
Epoch 10 loss: 0.305
Epoch 20 loss: 0.118
Epoch 30 loss: 0.072
Epoch 40 loss: 0.049
Epoch 50 loss: 0.047
Epoch 60 loss: 0.046
Epoch 70 loss: 0.037
Epoch 80 loss: 0.024
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-28-5c2aae2b3c78> in <module>
    128 with torch.autograd.set_detect_anomaly(True):
    129     network = OurNeuralNetwork()
--> 130     network.train(data, all_y_trues)

<ipython-input-28-5c2aae2b3c78> in train(self, data, all_y_trues)
     77         y_pred = o1
     78         mseloss = mse_loss(y_true, y_pred)
---> 79         mseloss.backward(retain_graph=True)
     80 
     81         # --- Update weights and biases

~/.conda/envs/pytorch/lib/python3.8/site-packages/torch/tensor.py in backward(self, gradient, retain_graph, create_graph)
    196                 products. Defaults to ``False``.
    197         """
--> 198         torch.autograd.backward(self, gradient, retain_graph, create_graph)
    199 
    200     def register_hook(self, hook):

~/.conda/envs/pytorch/lib/python3.8/site-packages/torch/autograd/__init__.py in backward(tensors, grad_tensors, retain_graph, create_graph, grad_variables)
     96         retain_graph = create_graph
     97 
---> 98     Variable._execution_engine.run_backward(
     99         tensors, grad_tensors, retain_graph, create_graph,
    100         allow_unreachable=True)  # allow_unreachable flag

RuntimeError: Function 'ExpBackward' returned nan values in its 0th output.