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[1] loss: 3.758, train acc: 12.210 test acc: 20.400 11.378 s [2] loss: 2.983, train acc: 24.974 test acc: 29.560 11.949 s [3] loss: 2.568, train acc: 33.144 test acc: 35.760 11.599 s [4] loss: 2.305, train acc: 38.934 test acc: 40.890 11.453 s [5] loss: 2.124, train acc: 42.856 test acc: 43.120 11.548 s [6] loss: 1.974, train acc: 46.386 test acc: 45.510 11.675 s [7] loss: 1.871, train acc: 48.858 test acc: 46.080 11.797 s [8] loss: 1.791, train acc: 50.472 test acc: 48.790 11.844 s [9] loss: 1.712, train acc: 52.538 test acc: 49.270 11.284 s [10] loss: 1.659, train acc: 53.592 test acc: 51.050 11.752 s [11] loss: 1.607, train acc: 54.836 test acc: 50.740 11.534 s [12] loss: 1.559, train acc: 56.114 test acc: 51.910 11.743 s [13] loss: 1.507, train acc: 57.634 test acc: 52.030 11.460 s [14] loss: 1.474, train acc: 58.104 test acc: 52.450 11.520 s [15] loss: 1.437, train acc: 59.338 test acc: 53.700 11.929 s [16] loss: 1.408, train acc: 59.828 test acc: 54.210 11.480 s [17] loss: 1.381, train acc: 60.614 test acc: 54.740 11.500 s [18] loss: 1.342, train acc: 61.682 test acc: 55.410 11.945 s [19] loss: 1.322, train acc: 62.176 test acc: 54.790 11.742 s [20] loss: 1.297, train acc: 62.718 test acc: 55.370 11.303 s [21] loss: 1.273, train acc: 63.300 test acc: 55.050 11.661 s [22] loss: 1.251, train acc: 63.596 test acc: 55.690 11.552 s [23] loss: 1.227, train acc: 64.452 test acc: 56.510 11.237 s [24] loss: 1.213, train acc: 64.796 test acc: 56.410 11.536 s [25] loss: 1.190, train acc: 65.416 test acc: 56.880 11.411 s [26] loss: 1.173, train acc: 66.098 test acc: 56.670 11.392 s [27] loss: 1.153, train acc: 66.560 test acc: 56.490 10.941 s [28] loss: 1.141, train acc: 66.658 test acc: 57.660 11.466 s [29] loss: 1.129, train acc: 66.944 test acc: 57.010 11.666 s [30] loss: 1.105, train acc: 67.570 test acc: 56.990 11.631 s [31] loss: 1.092, train acc: 68.068 test acc: 58.110 11.091 s [32] loss: 1.079, train acc: 68.446 test acc: 57.280 11.564 s [33] loss: 1.067, train acc: 68.886 test acc: 57.340 12.197 s [34] loss: 1.053, train acc: 69.060 test acc: 57.380 11.803 s [35] loss: 1.043, train acc: 69.156 test acc: 57.380 11.677 s [36] loss: 1.028, train acc: 69.598 test acc: 57.820 11.650 s [37] loss: 1.014, train acc: 69.900 test acc: 58.080 11.650 s [38] loss: 1.003, train acc: 70.174 test acc: 58.400 11.619 s [39] loss: 0.993, train acc: 70.606 test acc: 58.110 11.892 s [40] loss: 0.982, train acc: 70.740 test acc: 58.260 11.993 s [41] loss: 0.974, train acc: 70.992 test acc: 58.100 11.644 s [42] loss: 0.959, train acc: 71.346 test acc: 58.060 11.491 s [43] loss: 0.950, train acc: 71.732 test acc: 57.900 11.888 s [44] loss: 0.939, train acc: 71.622 test acc: 58.750 11.739 s [45] loss: 0.933, train acc: 71.976 test acc: 57.880 11.596 s [46] loss: 0.925, train acc: 72.316 test acc: 58.370 11.535 s [47] loss: 0.913, train acc: 72.612 test acc: 58.530 11.291 s [48] loss: 0.905, train acc: 72.750 test acc: 59.240 11.878 s [49] loss: 0.888, train acc: 73.406 test acc: 58.770 11.617 s [50] loss: 0.891, train acc: 73.154 test acc: 58.470 11.751 s [1] loss: 0.780, train acc: 76.672 test acc: 60.680 11.777 s [2] loss: 0.751, train acc: 77.650 test acc: 60.810 11.727 s [3] loss: 0.737, train acc: 77.998 test acc: 60.810 11.870 s [4] loss: 0.736, train acc: 78.064 test acc: 60.800 11.170 s [5] loss: 0.727, train acc: 78.344 test acc: 60.710 11.860 s [6] loss: 0.720, train acc: 78.388 test acc: 60.650 11.440 s [7] loss: 0.720, train acc: 78.468 test acc: 60.410 11.554 s [8] loss: 0.715, train acc: 78.718 test acc: 60.240 11.498 s [9] loss: 0.706, train acc: 78.880 test acc: 60.250 11.620 s [10] loss: 0.703, train acc: 78.940 test acc: 60.400 11.720 s [1] loss: 0.674, train acc: 79.932 test acc: 60.800 11.595 s [2] loss: 0.671, train acc: 79.954 test acc: 60.880 11.029 s [3] loss: 0.665, train acc: 80.332 test acc: 60.960 11.441 s [4] loss: 0.666, train acc: 80.088 test acc: 60.700 11.655 s [5] loss: 0.662, train acc: 80.366 test acc: 60.860 11.867 s [6] loss: 0.655, train acc: 80.620 test acc: 60.950 11.646 s [7] loss: 0.657, train acc: 80.368 test acc: 60.860 11.853 s [8] loss: 0.655, train acc: 80.580 test acc: 60.740 11.275 s [9] loss: 0.653, train acc: 80.564 test acc: 60.830 11.612 s [10] loss: 0.655, train acc: 80.474 test acc: 60.980 11.279 s [1] loss: 0.644, train acc: 80.954 test acc: 60.820 11.920 s [2] loss: 0.645, train acc: 80.772 test acc: 60.920 11.753 s [3] loss: 0.643, train acc: 80.888 test acc: 60.930 11.828 s [4] loss: 0.646, train acc: 80.770 test acc: 60.810 11.803 s [5] loss: 0.646, train acc: 80.984 test acc: 60.820 11.240 s [6] loss: 0.641, train acc: 80.980 test acc: 60.750 11.398 s [7] loss: 0.646, train acc: 80.646 test acc: 60.680 11.805 s [8] loss: 0.645, train acc: 80.852 test acc: 60.980 11.564 s [9] loss: 0.641, train acc: 81.142 test acc: 60.810 11.159 s [10] loss: 0.644, train acc: 80.924 test acc: 60.770 12.116 s [1] loss: 2.450, train acc: 37.072 test acc: 45.080 20.468 s [2] loss: 1.786, train acc: 50.514 test acc: 48.780 20.117 s [3] loss: 1.655, train acc: 53.522 test acc: 50.480 20.066 s [4] loss: 1.588, train acc: 55.062 test acc: 50.480 20.067 s [5] loss: 1.544, train acc: 56.050 test acc: 51.440 20.238 s [6] loss: 1.493, train acc: 57.396 test acc: 53.240 20.372 s [7] loss: 1.485, train acc: 57.374 test acc: 52.840 20.011 s [8] loss: 1.463, train acc: 58.102 test acc: 53.240 19.987 s [9] loss: 1.444, train acc: 58.558 test acc: 54.110 20.409 s [10] loss: 1.428, train acc: 58.886 test acc: 54.630 20.183 s [11] loss: 1.414, train acc: 59.196 test acc: 54.260 19.546 s [12] loss: 1.409, train acc: 59.272 test acc: 53.420 19.960 s [13] loss: 1.396, train acc: 59.392 test acc: 54.740 20.434 s [14] loss: 1.378, train acc: 59.892 test acc: 54.730 20.086 s [15] loss: 1.372, train acc: 60.306 test acc: 54.240 20.044 s [16] loss: 1.358, train acc: 60.426 test acc: 54.680 20.304 s [17] loss: 1.357, train acc: 60.894 test acc: 55.070 20.125 s [18] loss: 1.345, train acc: 61.228 test acc: 55.220 20.601 s [19] loss: 1.346, train acc: 60.964 test acc: 55.180 20.630 s [20] loss: 1.340, train acc: 60.866 test acc: 55.790 19.743 s [21] loss: 1.328, train acc: 61.414 test acc: 54.640 19.763 s [22] loss: 1.328, train acc: 61.232 test acc: 55.220 20.463 s [23] loss: 1.329, train acc: 61.366 test acc: 55.190 20.120 s [24] loss: 1.319, train acc: 61.482 test acc: 55.130 19.579 s [25] loss: 1.316, train acc: 61.496 test acc: 54.400 20.271 s [26] loss: 1.319, train acc: 61.558 test acc: 54.950 19.727 s [27] loss: 1.316, train acc: 61.558 test acc: 55.240 20.357 s [28] loss: 1.316, train acc: 61.584 test acc: 56.260 20.082 s [29] loss: 1.307, train acc: 61.810 test acc: 55.600 20.294 s [30] loss: 1.305, train acc: 61.776 test acc: 55.500 20.095 s [31] loss: 1.296, train acc: 62.264 test acc: 56.590 19.858 s [32] loss: 1.296, train acc: 62.298 test acc: 55.580 20.054 s [33] loss: 1.291, train acc: 62.188 test acc: 55.320 20.039 s [34] loss: 1.289, train acc: 62.324 test acc: 55.280 20.593 s [35] loss: 1.287, train acc: 62.298 test acc: 55.600 20.169 s [36] loss: 1.284, train acc: 62.586 test acc: 56.040 20.441 s [37] loss: 1.296, train acc: 62.236 test acc: 54.620 20.664 s [38] loss: 1.281, train acc: 62.502 test acc: 55.140 20.141 s [39] loss: 1.288, train acc: 62.392 test acc: 57.290 19.608 s [40] loss: 1.283, train acc: 62.594 test acc: 55.320 19.980 s [41] loss: 1.280, train acc: 62.652 test acc: 54.900 20.485 s [42] loss: 1.279, train acc: 62.600 test acc: 55.650 19.912 s [43] loss: 1.280, train acc: 62.602 test acc: 54.960 20.114 s [44] loss: 1.277, train acc: 62.884 test acc: 55.420 20.139 s [45] loss: 1.274, train acc: 62.992 test acc: 57.040 20.589 s [46] loss: 1.270, train acc: 62.880 test acc: 55.470 20.156 s [47] loss: 1.273, train acc: 62.858 test acc: 54.940 20.100 s [48] loss: 1.271, train acc: 62.764 test acc: 55.810 20.489 s [49] loss: 1.269, train acc: 62.940 test acc: 56.830 20.245 s [50] loss: 1.269, train acc: 62.924 test acc: 56.930 20.155 s |