help me plz @the-dharma-bum
with torch.no_grad():
output1 = model((train_x.float()))
softmax = torch.exp(output1).cpu()
prob1 = list(softmax.numpy())
predictions = np.argmax(prob1, axis=1)
print('Validation accuracy train: {:.4f}%'.format(float(accuracy_score(train_y, predictions, normalize =False) * 100)))