i have the convection that the model is re-initialising, but i don’t know how…
look this with lr = 100
Device: cuda:0
/usr/local/lib/python3.6/dist-packages/torchvision/datasets/mnist.py:53: UserWarning: train_data has been renamed data
  warnings.warn("train_data has been renamed data")
Epoch: 1  
Accuracy: 0.813 	Loss: 5.271 	Recall: 0.000 	Precision: 0.000


Epoch: 2  
Accuracy: 0.813 	Loss: 5.271 	Recall: 0.000 	Precision: 0.000


Epoch: 3  
Accuracy: 0.813 	Loss: 5.271 	Recall: 0.000 	Precision: 0.000


Epoch: 4  
Accuracy: 0.813 	Loss: 5.271 	Recall: 0.000 	Precision: 0.000


Epoch: 5  
Accuracy: 0.813 	Loss: 5.271 	Recall: 0.000 	Precision: 0.000

exactly the same loss, seems likes that something is going baaad
and just now, i try this with the lr=1000 i have the same resutls with lr=100 and lr=2… without a bit of differnce