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[1] loss: 3.725, train acc: 12.876 test acc: 20.340 11.934 s [2] loss: 2.955, train acc: 25.568 test acc: 30.140 11.720 s [3] loss: 2.544, train acc: 33.670 test acc: 36.230 11.755 s [4] loss: 2.281, train acc: 39.412 test acc: 41.270 11.644 s [5] loss: 2.097, train acc: 43.638 test acc: 44.000 11.792 s [6] loss: 1.956, train acc: 46.888 test acc: 46.250 11.513 s [7] loss: 1.843, train acc: 49.520 test acc: 47.110 11.806 s [8] loss: 1.762, train acc: 51.488 test acc: 49.410 11.847 s [9] loss: 1.687, train acc: 53.002 test acc: 50.370 11.886 s [10] loss: 1.624, train acc: 54.570 test acc: 50.710 12.349 s [11] loss: 1.579, train acc: 55.596 test acc: 51.740 12.015 s [12] loss: 1.530, train acc: 56.982 test acc: 51.960 11.661 s [13] loss: 1.489, train acc: 57.714 test acc: 52.790 11.866 s [14] loss: 1.448, train acc: 59.076 test acc: 53.500 11.378 s [15] loss: 1.412, train acc: 59.972 test acc: 53.720 11.698 s [16] loss: 1.384, train acc: 60.564 test acc: 54.220 11.889 s [17] loss: 1.352, train acc: 61.314 test acc: 54.960 11.772 s [18] loss: 1.324, train acc: 62.000 test acc: 55.450 11.538 s [19] loss: 1.302, train acc: 62.494 test acc: 54.810 11.927 s [20] loss: 1.272, train acc: 63.292 test acc: 55.320 11.601 s [21] loss: 1.255, train acc: 64.080 test acc: 56.060 11.772 s [22] loss: 1.232, train acc: 64.496 test acc: 56.680 11.632 s [23] loss: 1.208, train acc: 65.080 test acc: 56.780 12.097 s [24] loss: 1.186, train acc: 65.702 test acc: 57.160 11.887 s [25] loss: 1.173, train acc: 65.920 test acc: 56.590 12.177 s [26] loss: 1.154, train acc: 66.582 test acc: 56.800 11.891 s [27] loss: 1.135, train acc: 66.920 test acc: 57.060 11.884 s [28] loss: 1.125, train acc: 67.174 test acc: 57.300 11.469 s [29] loss: 1.106, train acc: 67.826 test acc: 56.830 11.646 s [30] loss: 1.096, train acc: 67.686 test acc: 57.430 11.957 s [31] loss: 1.071, train acc: 68.344 test acc: 57.280 12.057 s [32] loss: 1.060, train acc: 68.814 test acc: 58.270 11.687 s [33] loss: 1.047, train acc: 69.088 test acc: 57.440 11.788 s [34] loss: 1.037, train acc: 69.336 test acc: 58.560 11.557 s [35] loss: 1.030, train acc: 69.578 test acc: 58.240 12.043 s [36] loss: 1.011, train acc: 69.932 test acc: 58.030 11.783 s [37] loss: 1.002, train acc: 70.090 test acc: 58.840 12.020 s [38] loss: 0.992, train acc: 70.720 test acc: 57.640 11.689 s [39] loss: 0.975, train acc: 70.950 test acc: 57.330 11.762 s [40] loss: 0.969, train acc: 71.110 test acc: 57.900 12.348 s [41] loss: 0.953, train acc: 71.416 test acc: 58.160 11.583 s [42] loss: 0.951, train acc: 71.700 test acc: 58.800 11.698 s [43] loss: 0.942, train acc: 72.100 test acc: 58.650 11.589 s [44] loss: 0.926, train acc: 72.392 test acc: 58.080 11.755 s [45] loss: 0.919, train acc: 72.306 test acc: 58.830 11.901 s [46] loss: 0.907, train acc: 72.626 test acc: 58.300 11.798 s [47] loss: 0.902, train acc: 73.014 test acc: 59.660 11.198 s [48] loss: 0.889, train acc: 73.444 test acc: 58.920 11.829 s [49] loss: 0.884, train acc: 73.392 test acc: 58.660 12.787 s [50] loss: 0.869, train acc: 73.854 test acc: 58.150 11.929 s [1] loss: 0.766, train acc: 77.068 test acc: 60.520 11.787 s [2] loss: 0.733, train acc: 78.190 test acc: 60.540 11.578 s [3] loss: 0.723, train acc: 78.478 test acc: 60.780 12.009 s [4] loss: 0.716, train acc: 78.614 test acc: 60.180 11.910 s [5] loss: 0.710, train acc: 78.820 test acc: 60.620 12.019 s [6] loss: 0.708, train acc: 78.908 test acc: 60.940 12.134 s [7] loss: 0.701, train acc: 78.964 test acc: 60.850 11.963 s [8] loss: 0.696, train acc: 79.204 test acc: 60.950 11.581 s [9] loss: 0.694, train acc: 79.240 test acc: 60.860 11.611 s [10] loss: 0.690, train acc: 79.224 test acc: 60.630 13.505 s [1] loss: 0.658, train acc: 80.484 test acc: 61.020 11.613 s [2] loss: 0.653, train acc: 80.624 test acc: 60.990 11.732 s [3] loss: 0.654, train acc: 80.566 test acc: 61.360 11.470 s [4] loss: 0.650, train acc: 80.702 test acc: 61.270 12.032 s [5] loss: 0.646, train acc: 80.778 test acc: 61.150 11.665 s [6] loss: 0.646, train acc: 80.806 test acc: 61.100 11.779 s [7] loss: 0.644, train acc: 80.820 test acc: 61.060 11.448 s [8] loss: 0.645, train acc: 80.758 test acc: 61.260 11.942 s [9] loss: 0.641, train acc: 81.062 test acc: 61.110 11.808 s [10] loss: 0.637, train acc: 81.148 test acc: 60.930 11.674 s [1] loss: 0.635, train acc: 81.108 test acc: 61.020 12.237 s [2] loss: 0.632, train acc: 81.322 test acc: 60.970 11.973 s [3] loss: 0.634, train acc: 81.240 test acc: 60.920 12.029 s [4] loss: 0.630, train acc: 81.314 test acc: 61.080 11.691 s [5] loss: 0.629, train acc: 81.252 test acc: 60.980 12.092 s [6] loss: 0.629, train acc: 81.352 test acc: 60.930 11.831 s [7] loss: 0.630, train acc: 81.376 test acc: 61.050 11.382 s [8] loss: 0.628, train acc: 81.416 test acc: 61.080 11.456 s [9] loss: 0.628, train acc: 81.326 test acc: 60.830 11.460 s [10] loss: 0.629, train acc: 81.278 test acc: 61.110 11.887 s [1] loss: 2.388, train acc: 38.756 test acc: 47.340 20.252 s [2] loss: 1.689, train acc: 53.282 test acc: 50.460 20.670 s [3] loss: 1.573, train acc: 55.438 test acc: 51.290 20.202 s [4] loss: 1.505, train acc: 57.242 test acc: 52.420 20.842 s [5] loss: 1.449, train acc: 58.460 test acc: 53.140 20.717 s [6] loss: 1.418, train acc: 59.188 test acc: 55.010 20.814 s [7] loss: 1.391, train acc: 59.884 test acc: 54.330 20.396 s [8] loss: 1.380, train acc: 60.230 test acc: 55.000 20.466 s [9] loss: 1.357, train acc: 60.782 test acc: 54.990 20.572 s [10] loss: 1.338, train acc: 61.308 test acc: 54.320 20.385 s [11] loss: 1.336, train acc: 61.492 test acc: 56.190 20.404 s [12] loss: 1.326, train acc: 61.564 test acc: 55.110 20.774 s [13] loss: 1.305, train acc: 61.858 test acc: 55.800 20.572 s [14] loss: 1.307, train acc: 62.090 test acc: 56.490 20.226 s [15] loss: 1.283, train acc: 62.782 test acc: 55.640 20.796 s [16] loss: 1.275, train acc: 62.856 test acc: 55.470 20.782 s [17] loss: 1.271, train acc: 62.794 test acc: 56.710 20.715 s [18] loss: 1.271, train acc: 62.776 test acc: 56.300 20.810 s [19] loss: 1.256, train acc: 63.194 test acc: 55.370 20.562 s [20] loss: 1.260, train acc: 63.114 test acc: 56.850 22.084 s [21] loss: 1.253, train acc: 63.302 test acc: 55.220 20.716 s [22] loss: 1.250, train acc: 63.720 test acc: 55.940 20.301 s [23] loss: 1.243, train acc: 63.592 test acc: 56.480 20.124 s [24] loss: 1.249, train acc: 63.560 test acc: 57.520 20.426 s [25] loss: 1.247, train acc: 63.548 test acc: 55.650 20.574 s [26] loss: 1.227, train acc: 64.104 test acc: 56.440 20.267 s [27] loss: 1.239, train acc: 63.804 test acc: 57.000 20.486 s [28] loss: 1.228, train acc: 63.912 test acc: 55.480 20.198 s [29] loss: 1.226, train acc: 64.214 test acc: 57.180 20.299 s [30] loss: 1.227, train acc: 63.888 test acc: 56.210 21.023 s [31] loss: 1.230, train acc: 64.014 test acc: 57.980 20.605 s [32] loss: 1.224, train acc: 64.064 test acc: 56.990 20.756 s [33] loss: 1.211, train acc: 64.474 test acc: 57.410 20.468 s [34] loss: 1.214, train acc: 64.376 test acc: 56.650 20.321 s [35] loss: 1.211, train acc: 64.464 test acc: 56.030 20.359 s [36] loss: 1.212, train acc: 64.414 test acc: 57.280 20.583 s [37] loss: 1.202, train acc: 64.732 test acc: 57.140 20.407 s [38] loss: 1.207, train acc: 64.764 test acc: 57.960 20.688 s [39] loss: 1.202, train acc: 64.834 test acc: 57.670 20.856 s [40] loss: 1.205, train acc: 64.590 test acc: 56.820 20.451 s [41] loss: 1.202, train acc: 64.810 test acc: 56.800 20.481 s [42] loss: 1.196, train acc: 64.856 test acc: 57.330 20.648 s [43] loss: 1.186, train acc: 65.152 test acc: 57.970 20.571 s [44] loss: 1.204, train acc: 64.792 test acc: 57.190 20.592 s [45] loss: 1.202, train acc: 64.742 test acc: 55.780 20.225 s [46] loss: 1.203, train acc: 64.750 test acc: 56.940 20.661 s [47] loss: 1.202, train acc: 64.532 test acc: 57.050 20.281 s [48] loss: 1.200, train acc: 64.664 test acc: 55.670 20.608 s [49] loss: 1.189, train acc: 65.060 test acc: 55.890 20.534 s [50] loss: 1.192, train acc: 64.926 test acc: 57.690 20.510 s |