training results

[1, 20.000000] loss: 1.120 [1, 40.000000] loss: 1.089 [1, 60.000000] loss: 1.055 [1, 80.000000] loss: 1.020 [1, 100.000000] loss: 0.988 [2, 20.000000] loss: 0.957 [2, 40.000000] loss: 0.928 [2, 60.000000] loss: 0.901 [2, 80.000000] loss: 0.876 [2, 100.000000] loss: 0.854 [3, 20.000000] loss: 0.833 [3, 40.000000] loss: 0.813 [3, 60.000000] loss: 0.796 [3, 80.000000] loss: 0.779 [3, 100.000000] loss: 0.766 [4, 20.000000] loss: 0.753 [4, 40.000000] loss: 0.740 [4, 60.000000] loss: 0.729 [4, 80.000000] loss: 0.718 [4, 100.000000] loss: 0.711 [5, 20.000000] loss: 0.702 [5, 40.000000] loss: 0.693 [5, 60.000000] loss: 0.686 [5, 80.000000] loss: 0.679 [5, 100.000000] loss: 0.674 [6, 20.000000] loss: 0.668 [6, 40.000000] loss: 0.662 [6, 60.000000] loss: 0.657 [6, 80.000000] loss: 0.652 [6, 100.000000] loss: 0.649 [7, 20.000000] loss: 0.645 [7, 40.000000] loss: 0.641 [7, 60.000000] loss: 0.637 [7, 80.000000] loss: 0.634 [7, 100.000000] loss: 0.631 [8, 20.000000] loss: 0.628 [8, 40.000000] loss: 0.625 [8, 60.000000] loss: 0.623 [8, 80.000000] loss: 0.620 [8, 100.000000] loss: 0.618 [9, 20.000000] loss: 0.616 [9, 40.000000] loss: 0.614 [9, 60.000000] loss: 0.612 [9, 80.000000] loss: 0.610 [9, 100.000000] loss: 0.609 [10, 20.000000] loss: 0.607 [10, 40.000000] loss: 0.605 [10, 60.000000] loss: 0.604 [10, 80.000000] loss: 0.602