[1] loss: 3.781, train acc: 12.000 test acc: 19.400  11.920 s
[2] loss: 3.020, train acc: 24.844 test acc: 29.970  11.513 s
[3] loss: 2.578, train acc: 33.148 test acc: 35.450  11.580 s
[4] loss: 2.310, train acc: 38.948 test acc: 40.540  11.579 s
[5] loss: 2.121, train acc: 42.900 test acc: 43.030  11.725 s
[6] loss: 1.977, train acc: 46.418 test acc: 45.500  11.722 s
[7] loss: 1.875, train acc: 48.782 test acc: 46.910  11.510 s
[8] loss: 1.784, train acc: 51.148 test acc: 48.300  11.740 s
[9] loss: 1.717, train acc: 52.452 test acc: 48.540  11.663 s
[10] loss: 1.658, train acc: 53.668 test acc: 49.800  11.841 s
[11] loss: 1.597, train acc: 55.174 test acc: 51.180  11.749 s
[12] loss: 1.553, train acc: 56.304 test acc: 51.370  11.668 s
[13] loss: 1.511, train acc: 57.282 test acc: 51.690  11.893 s
[14] loss: 1.477, train acc: 58.362 test acc: 52.060  11.463 s
[15] loss: 1.429, train acc: 59.400 test acc: 52.610  11.660 s
[16] loss: 1.405, train acc: 60.082 test acc: 53.240  12.190 s
[17] loss: 1.376, train acc: 60.894 test acc: 54.380  11.538 s
[18] loss: 1.346, train acc: 61.432 test acc: 54.320  11.770 s
[19] loss: 1.318, train acc: 62.102 test acc: 54.930  10.889 s
[20] loss: 1.297, train acc: 62.818 test acc: 54.350  11.749 s
[21] loss: 1.272, train acc: 63.690 test acc: 54.710  11.522 s
[22] loss: 1.250, train acc: 63.864 test acc: 54.510  11.644 s
[23] loss: 1.230, train acc: 64.456 test acc: 55.680  11.620 s
[24] loss: 1.209, train acc: 64.628 test acc: 56.550  11.212 s
[25] loss: 1.194, train acc: 65.316 test acc: 55.810  11.542 s
[26] loss: 1.173, train acc: 65.768 test acc: 55.890  11.449 s
[27] loss: 1.156, train acc: 66.234 test acc: 56.300  11.700 s
[28] loss: 1.137, train acc: 66.724 test acc: 55.850  11.935 s
[29] loss: 1.128, train acc: 67.032 test acc: 56.400  11.489 s
[30] loss: 1.112, train acc: 67.424 test acc: 57.370  11.907 s
[31] loss: 1.095, train acc: 67.902 test acc: 56.110  11.797 s
[32] loss: 1.074, train acc: 68.414 test acc: 56.050  11.802 s
[33] loss: 1.064, train acc: 68.930 test acc: 56.690  11.895 s
[34] loss: 1.048, train acc: 69.126 test acc: 57.030  11.455 s
[35] loss: 1.039, train acc: 69.280 test acc: 57.050  11.396 s
[36] loss: 1.023, train acc: 69.842 test acc: 57.050  11.447 s
[37] loss: 1.020, train acc: 69.884 test acc: 56.420  11.296 s
[38] loss: 1.007, train acc: 70.276 test acc: 58.180  11.194 s
[39] loss: 1.000, train acc: 70.444 test acc: 57.770  11.584 s
[40] loss: 0.974, train acc: 71.134 test acc: 57.390  11.918 s
[41] loss: 0.974, train acc: 71.116 test acc: 57.340  11.872 s
[42] loss: 0.966, train acc: 71.256 test acc: 57.460  11.805 s
[43] loss: 0.952, train acc: 71.636 test acc: 56.970  11.734 s
[44] loss: 0.937, train acc: 72.058 test acc: 58.060  11.077 s
[45] loss: 0.932, train acc: 72.180 test acc: 58.100  11.834 s
[46] loss: 0.921, train acc: 72.384 test acc: 57.450  11.649 s
[47] loss: 0.911, train acc: 72.708 test acc: 58.040  12.009 s
[48] loss: 0.903, train acc: 73.076 test acc: 57.820  11.819 s
[49] loss: 0.899, train acc: 73.086 test acc: 57.440  11.746 s
[50] loss: 0.893, train acc: 72.974 test acc: 57.390  11.831 s
[1] loss: 0.776, train acc: 76.970 test acc: 59.040  11.845 s
[2] loss: 0.753, train acc: 77.562 test acc: 59.530  11.773 s
[3] loss: 0.744, train acc: 77.892 test acc: 59.680  11.572 s
[4] loss: 0.738, train acc: 78.150 test acc: 60.010  11.601 s
[5] loss: 0.727, train acc: 78.408 test acc: 59.590  11.594 s
[6] loss: 0.727, train acc: 78.192 test acc: 59.710  11.343 s
[7] loss: 0.711, train acc: 78.714 test acc: 59.260  11.653 s
[8] loss: 0.711, train acc: 78.678 test acc: 59.480  11.274 s
[9] loss: 0.705, train acc: 78.928 test acc: 59.430  11.742 s
[10] loss: 0.700, train acc: 79.190 test acc: 59.730  11.578 s
[1] loss: 0.672, train acc: 79.926 test acc: 59.970  11.180 s
[2] loss: 0.670, train acc: 80.106 test acc: 59.870  11.824 s
[3] loss: 0.668, train acc: 80.148 test acc: 59.950  11.645 s
[4] loss: 0.671, train acc: 79.910 test acc: 59.670  11.816 s
[5] loss: 0.666, train acc: 80.238 test acc: 59.900  11.154 s
[6] loss: 0.658, train acc: 80.456 test acc: 59.650  11.658 s
[7] loss: 0.659, train acc: 80.480 test acc: 59.830  11.740 s
[8] loss: 0.658, train acc: 80.332 test acc: 59.640  11.682 s
[9] loss: 0.654, train acc: 80.538 test acc: 59.870  11.463 s
[10] loss: 0.651, train acc: 80.558 test acc: 59.660  11.752 s
[1] loss: 0.647, train acc: 80.828 test acc: 59.810  11.319 s
[2] loss: 0.646, train acc: 80.748 test acc: 59.860  11.385 s
[3] loss: 0.641, train acc: 80.874 test acc: 59.740  11.732 s
[4] loss: 0.645, train acc: 80.944 test acc: 59.760  11.784 s
[5] loss: 0.647, train acc: 80.850 test acc: 59.780  11.626 s
[6] loss: 0.645, train acc: 80.906 test acc: 59.940  11.401 s
[7] loss: 0.640, train acc: 81.192 test acc: 59.820  11.199 s
[8] loss: 0.644, train acc: 80.864 test acc: 59.760  12.054 s
[9] loss: 0.639, train acc: 80.898 test acc: 59.750  11.888 s
[10] loss: 0.638, train acc: 81.200 test acc: 59.910  11.827 s
[1] loss: 1.557, train acc: 58.494 test acc: 56.130  20.314 s
[2] loss: 1.151, train acc: 67.056 test acc: 58.350  20.333 s
[3] loss: 1.089, train acc: 68.546 test acc: 59.320  20.736 s
[4] loss: 1.057, train acc: 69.342 test acc: 59.090  20.775 s
[5] loss: 1.035, train acc: 69.908 test acc: 60.160  20.459 s
[6] loss: 1.026, train acc: 69.950 test acc: 60.230  20.090 s
[7] loss: 1.012, train acc: 70.302 test acc: 60.220  20.200 s
[8] loss: 1.002, train acc: 70.942 test acc: 60.140  20.565 s
[9] loss: 0.995, train acc: 70.922 test acc: 60.140  20.297 s
[10] loss: 0.984, train acc: 71.250 test acc: 60.460  20.513 s
[11] loss: 0.979, train acc: 71.192 test acc: 60.290  20.487 s
[12] loss: 0.974, train acc: 71.468 test acc: 60.340  20.437 s
[13] loss: 0.963, train acc: 71.580 test acc: 60.350  20.395 s
[14] loss: 0.958, train acc: 71.976 test acc: 60.700  20.438 s
[15] loss: 0.952, train acc: 71.860 test acc: 60.840  20.302 s
[16] loss: 0.959, train acc: 71.804 test acc: 61.730  20.554 s
[17] loss: 0.950, train acc: 72.062 test acc: 60.700  20.760 s
[18] loss: 0.943, train acc: 72.070 test acc: 61.030  20.606 s
[19] loss: 0.943, train acc: 72.066 test acc: 61.020  20.086 s
[20] loss: 0.936, train acc: 72.322 test acc: 60.730  20.996 s
[21] loss: 0.941, train acc: 72.180 test acc: 61.100  20.443 s
[22] loss: 0.935, train acc: 72.570 test acc: 61.340  20.669 s
[23] loss: 0.933, train acc: 72.396 test acc: 60.930  21.823 s
[24] loss: 0.928, train acc: 72.642 test acc: 61.020  20.349 s
[25] loss: 0.925, train acc: 72.692 test acc: 61.020  20.885 s
[26] loss: 0.928, train acc: 72.664 test acc: 60.650  20.422 s
[27] loss: 0.926, train acc: 72.614 test acc: 60.650  20.340 s
[28] loss: 0.923, train acc: 72.576 test acc: 60.840  20.169 s
[29] loss: 0.926, train acc: 72.660 test acc: 60.810  20.450 s
[30] loss: 0.921, train acc: 72.924 test acc: 60.600  20.427 s
[31] loss: 0.919, train acc: 72.918 test acc: 60.690  20.395 s
[32] loss: 0.920, train acc: 72.836 test acc: 60.660  19.916 s
[33] loss: 0.918, train acc: 72.758 test acc: 61.150  20.623 s
[34] loss: 0.917, train acc: 72.802 test acc: 60.180  20.586 s
[35] loss: 0.912, train acc: 73.102 test acc: 61.370  20.284 s
[36] loss: 0.908, train acc: 73.232 test acc: 60.980  20.362 s
[37] loss: 0.910, train acc: 73.072 test acc: 60.710  20.523 s
[38] loss: 0.912, train acc: 72.972 test acc: 60.870  20.359 s
[39] loss: 0.906, train acc: 73.078 test acc: 61.340  20.379 s
[40] loss: 0.905, train acc: 73.060 test acc: 60.020  20.782 s
[41] loss: 0.913, train acc: 72.934 test acc: 60.600  20.586 s
[42] loss: 0.907, train acc: 72.992 test acc: 61.230  20.409 s
[43] loss: 0.909, train acc: 72.978 test acc: 61.710  20.956 s
[44] loss: 0.901, train acc: 73.354 test acc: 60.310  20.364 s
[45] loss: 0.901, train acc: 73.328 test acc: 61.510  20.784 s
[46] loss: 0.905, train acc: 73.192 test acc: 60.980  20.391 s
[47] loss: 0.904, train acc: 72.880 test acc: 60.340  20.712 s
[48] loss: 0.900, train acc: 73.250 test acc: 61.160  20.572 s
[49] loss: 0.903, train acc: 73.184 test acc: 60.910  20.818 s
[50] loss: 0.901, train acc: 73.216 test acc: 61.050  20.780 s