yeah! the accurasy and the other metrics like precision and recall still the same!
the loss has very little difference! You can check the result below:
these are the settings
    batch = 10
    classes = ('0', '1', '2', '3', '4', '5', '6', '7', '8', '9')
    dim = 28*28
    learning_rate = 1
    epochs = 14
    clusters = 10
    executions = 0
    momentum = 0.9

ad the results
Epoch: 1  
Accuracy: 0.815 	Loss: 5.280 	Recall: 0.507 	Precision: 0.340


Epoch: 2  
Accuracy: 0.815 	Loss: 5.276 	Recall: 0.507 	Precision: 0.340


Epoch: 3  
Accuracy: 0.815 	Loss: 5.274 	Recall: 0.507 	Precision: 0.340


Epoch: 4  
Accuracy: 0.815 	Loss: 5.274 	Recall: 0.507 	Precision: 0.340


Epoch: 5  
Accuracy: 0.815 	Loss: 5.273 	Recall: 0.507 	Precision: 0.340


Epoch: 6  
Accuracy: 0.815 	Loss: 5.273 	Recall: 0.507 	Precision: 0.340


Epoch: 7  
Accuracy: 0.815 	Loss: 5.273 	Recall: 0.507 	Precision: 0.340

Do you think that this is normaL?