This is how my loss looks like:
Train Epoch: 0 [0/2000 (0%)]	Loss: 0.890425
Train Epoch: 0 [400/2000 (20%)]	Loss: 0.739331
Train Epoch: 0 [800/2000 (40%)]	Loss: 0.740495
Train Epoch: 0 [1200/2000 (60%)]	Loss: 0.737210
Train Epoch: 0 [1600/2000 (80%)]	Loss: 0.742648
Test set: Average loss: 0.7384
Train Epoch: 1 [0/2000 (0%)]	Loss: 0.738974
Train Epoch: 1 [400/2000 (20%)]	Loss: 0.739232
Train Epoch: 1 [800/2000 (40%)]	Loss: 0.737139
Train Epoch: 1 [1200/2000 (60%)]	Loss: 0.736564
Train Epoch: 1 [1600/2000 (80%)]	Loss: 0.737216
Test set: Average loss: 0.7384
Train Epoch: 2 [0/2000 (0%)]	Loss: 0.737539
Train Epoch: 2 [400/2000 (20%)]	Loss: 0.737013
Train Epoch: 2 [800/2000 (40%)]	Loss: 0.745166
Train Epoch: 2 [1200/2000 (60%)]	Loss: 0.740684
Train Epoch: 2 [1600/2000 (80%)]	Loss: 0.735286
Test set: Average loss: 0.7384
Train Epoch: 3 [0/2000 (0%)]	Loss: 0.738531
Train Epoch: 3 [400/2000 (20%)]	Loss: 0.741940
Train Epoch: 3 [800/2000 (40%)]	Loss: 0.737881
Train Epoch: 3 [1200/2000 (60%)]	Loss: 0.737666
Train Epoch: 3 [1600/2000 (80%)]	Loss: 0.739561
Test set: Average loss: 0.7384
Train Epoch: 4 [0/2000 (0%)]	Loss: 0.741185
Train Epoch: 4 [400/2000 (20%)]	Loss: 0.736491
Train Epoch: 4 [800/2000 (40%)]	Loss: 0.741242
Train Epoch: 4 [1200/2000 (60%)]	Loss: 0.738887
Train Epoch: 4 [1600/2000 (80%)]	Loss: 0.738182
Test set: Average loss: 0.7384
Train Epoch: 5 [0/2000 (0%)]	Loss: 0.738633
Train Epoch: 5 [400/2000 (20%)]	Loss: 0.741287
Train Epoch: 5 [800/2000 (40%)]	Loss: 0.744609
Train Epoch: 5 [1200/2000 (60%)]	Loss: 0.738787
Train Epoch: 5 [1600/2000 (80%)]	Loss: 0.742097
Test set: Average loss: 0.7384
Train Epoch: 6 [0/2000 (0%)]	Loss: 0.737597
Train Epoch: 6 [400/2000 (20%)]	Loss: 0.738081
Train Epoch: 6 [800/2000 (40%)]	Loss: 0.734609
Train Epoch: 6 [1200/2000 (60%)]	Loss: 0.738837
Train Epoch: 6 [1600/2000 (80%)]	Loss: 0.739030
Test set: Average loss: 0.7384
Train Epoch: 7 [0/2000 (0%)]	Loss: 0.742665
Train Epoch: 7 [400/2000 (20%)]	Loss: 0.737820
Train Epoch: 7 [800/2000 (40%)]	Loss: 0.740105
Train Epoch: 7 [1200/2000 (60%)]	Loss: 0.734893
Train Epoch: 7 [1600/2000 (80%)]	Loss: 0.740252
Test set: Average loss: 0.7384
Train Epoch: 8 [0/2000 (0%)]	Loss: 0.740616
Train Epoch: 8 [400/2000 (20%)]	Loss: 0.741398
Train Epoch: 8 [800/2000 (40%)]	Loss: 0.740078
Train Epoch: 8 [1200/2000 (60%)]	Loss: 0.739548
Train Epoch: 8 [1600/2000 (80%)]	Loss: 0.739944
Test set: Average loss: 0.7384
Train Epoch: 9 [0/2000 (0%)]	Loss: 0.739905
Train Epoch: 9 [400/2000 (20%)]	Loss: 0.738651
Train Epoch: 9 [800/2000 (40%)]	Loss: 0.737514
Train Epoch: 9 [1200/2000 (60%)]	Loss: 0.734963
Train Epoch: 9 [1600/2000 (80%)]	Loss: 0.735477
Test set: Average loss: 0.7384
Train Epoch: 10 [0/2000 (0%)]	Loss: 0.736167
Train Epoch: 10 [400/2000 (20%)]	Loss: 0.738089
Train Epoch: 10 [800/2000 (40%)]	Loss: 0.733951
Train Epoch: 10 [1200/2000 (60%)]	Loss: 0.738294
Train Epoch: 10 [1600/2000 (80%)]	Loss: 0.739406
Test set: Average loss: 0.7384
Train Epoch: 11 [0/2000 (0%)]	Loss: 0.739151
Train Epoch: 11 [400/2000 (20%)]	Loss: 0.737162
Train Epoch: 11 [800/2000 (40%)]	Loss: 0.737700
Train Epoch: 11 [1200/2000 (60%)]	Loss: 0.738951
Train Epoch: 11 [1600/2000 (80%)]	Loss: 0.736479
Test set: Average loss: 0.7384
Train Epoch: 12 [0/2000 (0%)]	Loss: 0.738607
Train Epoch: 12 [400/2000 (20%)]	Loss: 0.742146
Train Epoch: 12 [800/2000 (40%)]	Loss: 0.740505
Train Epoch: 12 [1200/2000 (60%)]	Loss: 0.735908
Train Epoch: 12 [1600/2000 (80%)]	Loss: 0.742282
Test set: Average loss: 0.7384
Train Epoch: 13 [0/2000 (0%)]	Loss: 0.736525
Train Epoch: 13 [400/2000 (20%)]	Loss: 0.736685
Train Epoch: 13 [800/2000 (40%)]	Loss: 0.734824
Train Epoch: 13 [1200/2000 (60%)]	Loss: 0.740992
Train Epoch: 13 [1600/2000 (80%)]	Loss: 0.738559
Test set: Average loss: 0.7384
Train Epoch: 14 [0/2000 (0%)]	Loss: 0.735638
Train Epoch: 14 [400/2000 (20%)]	Loss: 0.737805
Train Epoch: 14 [800/2000 (40%)]	Loss: 0.741408
Train Epoch: 14 [1200/2000 (60%)]	Loss: 0.731682
Train Epoch: 14 [1600/2000 (80%)]	Loss: 0.738875
Test set: Average loss: 0.7384
Train Epoch: 15 [0/2000 (0%)]	Loss: 0.740533
Train Epoch: 15 [400/2000 (20%)]	Loss: 0.737641
Train Epoch: 15 [800/2000 (40%)]	Loss: 0.738011
Train Epoch: 15 [1200/2000 (60%)]	Loss: 0.741101
Train Epoch: 15 [1600/2000 (80%)]	Loss: 0.739203
Test set: Average loss: 0.7384
Train Epoch: 16 [0/2000 (0%)]	Loss: 0.741356
Train Epoch: 16 [400/2000 (20%)]	Loss: 0.739178
Train Epoch: 16 [800/2000 (40%)]	Loss: 0.737916
Train Epoch: 16 [1200/2000 (60%)]	Loss: 0.743919
Train Epoch: 16 [1600/2000 (80%)]	Loss: 0.736833
Test set: Average loss: 0.7384
Train Epoch: 17 [0/2000 (0%)]	Loss: 0.739630
Train Epoch: 17 [400/2000 (20%)]	Loss: 0.739462
Train Epoch: 17 [800/2000 (40%)]	Loss: 0.741527
Train Epoch: 17 [1200/2000 (60%)]	Loss: 0.733570
Train Epoch: 17 [1600/2000 (80%)]	Loss: 0.741055
Test set: Average loss: 0.7384
Train Epoch: 18 [0/2000 (0%)]	Loss: 0.739831
Train Epoch: 18 [400/2000 (20%)]	Loss: 0.740010
Train Epoch: 18 [800/2000 (40%)]	Loss: 0.736455
Train Epoch: 18 [1200/2000 (60%)]	Loss: 0.737576
Train Epoch: 18 [1600/2000 (80%)]	Loss: 0.736869
Test set: Average loss: 0.7384
Train Epoch: 19 [0/2000 (0%)]	Loss: 0.739427
Train Epoch: 19 [400/2000 (20%)]	Loss: 0.740225
Train Epoch: 19 [800/2000 (40%)]	Loss: 0.743299
Train Epoch: 19 [1200/2000 (60%)]	Loss: 0.737947
Train Epoch: 19 [1600/2000 (80%)]	Loss: 0.735534
Test set: Average loss: 0.738