checkpoints/shallow011_naslarge_AP8b_wSAM_failed/train_log.txt

[1] loss: 3.829, train acc: 10.992 test acc: 17.680  38.980 s
[2] loss: 3.060, train acc: 23.824 test acc: 28.570  29.255 s
[3] loss: 2.555, train acc: 33.606 test acc: 37.130  28.342 s
[4] loss: 2.255, train acc: 40.044 test acc: 41.070  28.336 s
[5] loss: 2.049, train acc: 44.694 test acc: 44.730  28.376 s
[6] loss: 1.898, train acc: 48.180 test acc: 46.640  28.470 s
[7] loss: 1.778, train acc: 50.780 test acc: 49.620  28.497 s
[8] loss: 1.679, train acc: 53.558 test acc: 50.690  28.364 s
[9] loss: 1.597, train acc: 55.438 test acc: 51.980  28.392 s
[10] loss: 1.525, train acc: 57.136 test acc: 53.680  28.422 s
[11] loss: 1.473, train acc: 58.510 test acc: 52.740  28.437 s
[12] loss: 1.414, train acc: 59.762 test acc: 54.530  28.385 s
[13] loss: 1.365, train acc: 61.252 test acc: 56.560  28.511 s
[14] loss: 1.322, train acc: 62.164 test acc: 55.910  28.310 s
[15] loss: 1.280, train acc: 63.330 test acc: 56.780  28.317 s
[16] loss: 1.249, train acc: 64.060 test acc: 57.250  28.286 s
[17] loss: 1.205, train acc: 64.894 test acc: 57.560  29.616 s
[18] loss: 1.178, train acc: 66.070 test acc: 57.480  28.279 s
[19] loss: 1.143, train acc: 66.560 test acc: 58.020  28.366 s
[20] loss: 1.117, train acc: 67.478 test acc: 58.530  28.270 s
[21] loss: 1.092, train acc: 68.038 test acc: 59.260  28.199 s
[22] loss: 1.065, train acc: 68.826 test acc: 59.600  28.270 s
[23] loss: 1.050, train acc: 69.266 test acc: 58.740  28.253 s
[24] loss: 1.019, train acc: 70.094 test acc: 59.460  28.349 s
[25] loss: 0.999, train acc: 70.558 test acc: 59.120  28.298 s
[26] loss: 0.985, train acc: 70.914 test acc: 60.140  28.360 s
[27] loss: 0.961, train acc: 71.394 test acc: 59.650  28.338 s
[28] loss: 0.942, train acc: 71.928 test acc: 60.330  28.351 s
[29] loss: 0.917, train acc: 72.618 test acc: 60.720  28.338 s
[30] loss: 0.905, train acc: 73.082 test acc: 60.880  28.315 s
[31] loss: 0.886, train acc: 73.650 test acc: 61.100  28.331 s
[32] loss: 0.867, train acc: 74.140 test acc: 60.900  28.268 s
[33] loss: 0.859, train acc: 74.280 test acc: 60.990  28.350 s
[34] loss: 0.840, train acc: 74.850 test acc: 61.300  28.266 s
[35] loss: 0.828, train acc: 75.074 test acc: 61.070  28.279 s
[36] loss: 0.809, train acc: 75.796 test acc: 61.170  28.320 s
[37] loss: 0.797, train acc: 75.996 test acc: 61.420  29.229 s
[38] loss: 0.787, train acc: 76.190 test acc: 61.780  28.444 s
[39] loss: 0.776, train acc: 76.586 test acc: 62.340  28.379 s
[40] loss: 0.763, train acc: 76.838 test acc: 62.790  28.335 s
[41] loss: 0.749, train acc: 77.412 test acc: 62.680  28.285 s
[42] loss: 0.741, train acc: 77.610 test acc: 61.780  28.308 s
[43] loss: 0.717, train acc: 78.528 test acc: 62.190  28.434 s
[44] loss: 0.721, train acc: 78.056 test acc: 61.630  28.303 s
[45] loss: 0.702, train acc: 78.672 test acc: 62.120  28.356 s
[46] loss: 0.690, train acc: 78.908 test acc: 62.680  28.312 s
[47] loss: 0.680, train acc: 79.186 test acc: 62.870  28.348 s
[48] loss: 0.669, train acc: 79.378 test acc: 62.370  28.320 s
[49] loss: 0.663, train acc: 79.708 test acc: 61.960  28.336 s
[50] loss: 0.657, train acc: 79.992 test acc: 62.610  28.315 s
[51] loss: 0.639, train acc: 80.482 test acc: 63.580  28.340 s
[52] loss: 0.636, train acc: 80.484 test acc: 62.660  28.421 s
[53] loss: 0.625, train acc: 80.928 test acc: 62.630  28.342 s
[54] loss: 0.617, train acc: 80.992 test acc: 62.570  28.342 s
[55] loss: 0.615, train acc: 81.118 test acc: 62.600  28.301 s
[56] loss: 0.602, train acc: 81.500 test acc: 62.850  28.368 s
[57] loss: 0.591, train acc: 81.818 test acc: 62.710  28.399 s
[58] loss: 0.585, train acc: 81.894 test acc: 62.630  28.286 s
[59] loss: 0.581, train acc: 82.010 test acc: 62.770  28.481 s
[60] loss: 0.567, train acc: 82.578 test acc: 62.210  28.335 s
[61] loss: 0.565, train acc: 82.490 test acc: 62.870  28.359 s
[62] loss: 0.553, train acc: 82.764 test acc: 62.510  28.379 s
[63] loss: 0.551, train acc: 82.838 test acc: 63.120  28.441 s
[64] loss: 0.540, train acc: 83.080 test acc: 62.490  28.478 s
[65] loss: 0.534, train acc: 83.200 test acc: 62.450  28.496 s
[66] loss: 0.524, train acc: 83.846 test acc: 62.680  28.433 s
[67] loss: 0.520, train acc: 83.754 test acc: 61.940  28.464 s
[68] loss: 0.516, train acc: 83.790 test acc: 61.840  28.429 s
[69] loss: 0.507, train acc: 84.248 test acc: 62.650  28.549 s
[70] loss: 0.501, train acc: 84.406 test acc: 62.910  28.430 s
[71] loss: 0.494, train acc: 84.520 test acc: 63.570  28.478 s
[72] loss: 0.488, train acc: 84.510 test acc: 62.920  28.494 s
[73] loss: 0.484, train acc: 84.814 test acc: 62.190  28.354 s
[74] loss: 0.477, train acc: 84.922 test acc: 63.560  28.344 s
[75] loss: 0.471, train acc: 85.292 test acc: 62.250  28.386 s
[76] loss: 0.470, train acc: 85.148 test acc: 62.860  28.315 s
[77] loss: 0.459, train acc: 85.698 test acc: 62.500  28.341 s
[78] loss: 0.456, train acc: 85.718 test acc: 62.910  28.326 s
[79] loss: 0.446, train acc: 86.158 test acc: 62.650  28.345 s
[80] loss: 0.447, train acc: 85.938 test acc: 62.760  28.313 s
[81] loss: 0.435, train acc: 86.414 test acc: 62.830  28.319 s
[82] loss: 0.431, train acc: 86.154 test acc: 62.250  28.392 s
[83] loss: 0.430, train acc: 86.396 test acc: 61.840  28.431 s
[84] loss: 0.429, train acc: 86.610 test acc: 63.240  28.280 s
[85] loss: 0.422, train acc: 86.516 test acc: 62.400  28.308 s
[86] loss: 0.421, train acc: 86.576 test acc: 62.350  28.445 s
[87] loss: 0.411, train acc: 87.002 test acc: 62.810  28.410 s
[88] loss: 0.405, train acc: 87.198 test acc: 62.500  28.328 s
[89] loss: 0.403, train acc: 87.226 test acc: 63.150  28.431 s
[90] loss: 0.398, train acc: 87.186 test acc: 62.850  28.361 s
[91] loss: 0.396, train acc: 87.314 test acc: 62.660  28.274 s
[92] loss: 0.399, train acc: 87.308 test acc: 63.180  28.377 s
[93] loss: 0.387, train acc: 87.738 test acc: 62.860  28.363 s
[94] loss: 0.378, train acc: 88.142 test acc: 63.000  28.186 s
[95] loss: 0.376, train acc: 88.096 test acc: 63.280  28.379 s
[96] loss: 0.371, train acc: 88.040 test acc: 62.610  28.305 s
[97] loss: 0.373, train acc: 87.920 test acc: 62.540  28.369 s
[98] loss: 0.366, train acc: 88.356 test acc: 63.360  28.319 s
[99] loss: 0.367, train acc: 88.352 test acc: 62.610  28.377 s
[100] loss: 0.359, train acc: 88.610 test acc: 62.840  28.294 s
[1] loss: 0.278, train acc: 91.676 test acc: 64.390  28.304 s
[2] loss: 0.249, train acc: 92.714 test acc: 63.860  28.361 s
[3] loss: 0.244, train acc: 92.936 test acc: 64.190  28.321 s
[4] loss: 0.235, train acc: 93.176 test acc: 64.170  28.276 s
[5] loss: 0.234, train acc: 93.214 test acc: 64.230  28.346 s
[6] loss: 0.229, train acc: 93.390 test acc: 64.380  28.267 s
[7] loss: 0.223, train acc: 93.582 test acc: 64.330  28.327 s
[8] loss: 0.221, train acc: 93.634 test acc: 64.420  28.352 s
[9] loss: 0.219, train acc: 93.682 test acc: 64.740  28.339 s
[10] loss: 0.213, train acc: 94.012 test acc: 64.690  28.330 s
[1] loss: 0.198, train acc: 94.480 test acc: 64.520  28.283 s
[2] loss: 0.195, train acc: 94.634 test acc: 64.630  28.350 s
[3] loss: 0.192, train acc: 94.842 test acc: 64.520  28.396 s
[4] loss: 0.191, train acc: 94.768 test acc: 64.600  28.546 s
[5] loss: 0.189, train acc: 94.886 test acc: 64.620  28.355 s
[6] loss: 0.188, train acc: 94.872 test acc: 64.540  28.331 s
[7] loss: 0.186, train acc: 94.914 test acc: 64.630  28.334 s
[8] loss: 0.185, train acc: 94.998 test acc: 64.800  28.292 s
[9] loss: 0.185, train acc: 94.916 test acc: 64.810  28.384 s
[10] loss: 0.186, train acc: 94.898 test acc: 64.810  28.387 s
[11] loss: 0.183, train acc: 95.118 test acc: 64.730  28.417 s
[12] loss: 0.180, train acc: 95.152 test acc: 64.650  28.347 s
[13] loss: 0.179, train acc: 95.186 test acc: 64.510  28.308 s
[14] loss: 0.180, train acc: 95.256 test acc: 64.560  28.296 s
[15] loss: 0.180, train acc: 95.176 test acc: 64.380  28.312 s
[16] loss: 0.177, train acc: 95.170 test acc: 64.460  28.328 s
[17] loss: 0.177, train acc: 95.190 test acc: 64.420  28.348 s
[18] loss: 0.181, train acc: 95.160 test acc: 64.630  28.318 s
[19] loss: 0.177, train acc: 95.258 test acc: 64.740  28.315 s
[20] loss: 0.176, train acc: 95.258 test acc: 64.430  28.315 s
[21] loss: 0.174, train acc: 95.456 test acc: 64.570  28.335 s
[22] loss: 0.174, train acc: 95.304 test acc: 64.630  28.304 s
[23] loss: 0.176, train acc: 95.360 test acc: 64.510  28.390 s
[24] loss: 0.176, train acc: 95.290 test acc: 64.600  28.408 s
[25] loss: 0.172, train acc: 95.438 test acc: 64.740  28.345 s
[26] loss: 0.170, train acc: 95.522 test acc: 64.810  28.224 s
[27] loss: 0.173, train acc: 95.394 test acc: 64.710  28.342 s
[28] loss: 0.173, train acc: 95.316 test acc: 64.830  28.358 s
[29] loss: 0.169, train acc: 95.620 test acc: 64.430  28.420 s
[30] loss: 0.167, train acc: 95.574 test acc: 64.750  28.439 s
[1] loss: 0.164, train acc: 95.700 test acc: 64.650  28.305 s
[2] loss: 0.166, train acc: 95.628 test acc: 64.720  28.293 s
[3] loss: 0.169, train acc: 95.526 test acc: 64.620  28.442 s
[4] loss: 0.162, train acc: 95.762 test acc: 64.620  28.315 s
[5] loss: 0.165, train acc: 95.704 test acc: 64.580  28.356 s
[6] loss: 0.163, train acc: 95.730 test acc: 64.740  28.450 s
[7] loss: 0.162, train acc: 95.848 test acc: 64.750  28.299 s
[8] loss: 0.164, train acc: 95.670 test acc: 64.730  28.360 s
[9] loss: 0.162, train acc: 95.752 test acc: 64.720  28.483 s
[10] loss: 0.162, train acc: 95.744 test acc: 64.540  28.408 s
[11] loss: 0.164, train acc: 95.710 test acc: 64.640  28.401 s
[12] loss: 0.163, train acc: 95.686 test acc: 64.790  28.433 s
[13] loss: 0.164, train acc: 95.714 test acc: 64.700  28.529 s
[14] loss: 0.164, train acc: 95.692 test acc: 64.720  28.359 s
[15] loss: 0.160, train acc: 95.828 test acc: 64.690  28.320 s
[16] loss: 0.160, train acc: 95.908 test acc: 64.610  28.255 s
[17] loss: 0.160, train acc: 95.874 test acc: 64.740  28.434 s
[18] loss: 0.159, train acc: 95.902 test acc: 64.630  28.221 s
[19] loss: 0.160, train acc: 95.830 test acc: 64.620  28.368 s
[20] loss: 0.161, train acc: 95.838 test acc: 64.700  28.287 s
[21] loss: 0.161, train acc: 95.740 test acc: 64.570  28.376 s
[22] loss: 0.160, train acc: 95.828 test acc: 64.530  28.392 s
[23] loss: 0.160, train acc: 95.874 test acc: 64.520  28.370 s
[24] loss: 0.160, train acc: 95.864 test acc: 64.540  28.365 s
[25] loss: 0.160, train acc: 95.784 test acc: 64.630  28.302 s
[26] loss: 0.161, train acc: 95.806 test acc: 64.630  28.317 s
[27] loss: 0.157, train acc: 95.994 test acc: 64.600  28.318 s
[28] loss: 0.160, train acc: 95.876 test acc: 64.570  28.333 s
[29] loss: 0.160, train acc: 95.954 test acc: 64.600  28.319 s
[30] loss: 0.160, train acc: 95.826 test acc: 64.420  28.355 s
[31] loss: 0.158, train acc: 95.908 test acc: 64.420  28.315 s
[32] loss: 0.158, train acc: 96.006 test acc: 64.640  28.463 s
[33] loss: 0.161, train acc: 95.826 test acc: 64.470  28.381 s
[34] loss: 0.158, train acc: 96.018 test acc: 64.540  28.315 s
[35] loss: 0.158, train acc: 95.940 test acc: 64.490  28.409 s
[36] loss: 0.159, train acc: 95.954 test acc: 64.600  28.360 s
[37] loss: 0.158, train acc: 95.974 test acc: 64.620  28.357 s
[38] loss: 0.156, train acc: 95.982 test acc: 64.550  28.426 s
[39] loss: 0.157, train acc: 95.856 test acc: 64.600  28.360 s
[40] loss: 0.159, train acc: 95.868 test acc: 64.670  28.323 s
[41] loss: 0.159, train acc: 95.772 test acc: 64.550  28.322 s
[42] loss: 0.158, train acc: 95.954 test acc: 64.570  28.358 s
[43] loss: 0.157, train acc: 96.002 test acc: 64.480  28.404 s
[44] loss: 0.161, train acc: 95.868 test acc: 64.390  28.430 s
[45] loss: 0.157, train acc: 95.910 test acc: 64.560  28.397 s
[46] loss: 0.155, train acc: 96.080 test acc: 64.510  28.428 s
[47] loss: 0.156, train acc: 95.980 test acc: 64.710  28.364 s
[48] loss: 0.155, train acc: 96.058 test acc: 64.660  28.394 s
[49] loss: 0.156, train acc: 96.028 test acc: 64.600  28.469 s
[50] loss: 0.156, train acc: 96.154 test acc: 64.570  28.394 s
[1] loss: 5.010, train acc: 1.672 test acc: 2.160  54.292 s
[2] loss: 4.503, train acc: 3.040 test acc: 3.910  55.728 s
[3] loss: 4.368, train acc: 4.048 test acc: 5.080  53.613 s
[4] loss: 4.285, train acc: 4.772 test acc: 5.510  53.745 s
[5] loss: 4.220, train acc: 5.310 test acc: 5.720  53.470 s
[6] loss: 4.168, train acc: 5.622 test acc: 6.140  53.558 s
[7] loss: 4.121, train acc: 6.110 test acc: 6.990  53.576 s
[8] loss: 4.074, train acc: 6.822 test acc: 7.350  53.742 s
[9] loss: 4.031, train acc: 7.360 test acc: 8.210  53.385 s
[10] loss: 3.990, train acc: 7.890 test acc: 8.410  53.714 s
[11] loss: 3.960, train acc: 8.354 test acc: 8.820  53.587 s
[12] loss: 3.924, train acc: 8.990 test acc: 8.990  53.461 s
[13] loss: 3.888, train acc: 9.666 test acc: 9.890  53.642 s
[14] loss: 3.849, train acc: 10.250 test acc: 10.770  53.580 s
[15] loss: 3.818, train acc: 10.596 test acc: 11.010  53.238 s
[16] loss: 3.793, train acc: 10.946 test acc: 11.190  53.182 s
[17] loss: 3.759, train acc: 11.716 test acc: 12.490  53.811 s
[18] loss: 3.713, train acc: 12.260 test acc: 12.070  53.766 s
[19] loss: 3.684, train acc: 12.436 test acc: 12.570  53.642 s
[20] loss: 3.659, train acc: 13.028 test acc: 13.210  53.214 s
[21] loss: 3.630, train acc: 13.340 test acc: 14.360  54.006 s
[22] loss: 3.608, train acc: 14.030 test acc: 14.010  53.434 s
[23] loss: 3.582, train acc: 14.438 test acc: 14.920  53.540 s
[24] loss: 3.553, train acc: 14.958 test acc: 15.300  53.637 s
[25] loss: 3.528, train acc: 15.312 test acc: 15.610  53.872 s
[26] loss: 3.505, train acc: 15.728 test acc: 15.930  53.974 s
[27] loss: 3.478, train acc: 16.126 test acc: 16.410  53.892 s
[28] loss: 3.447, train acc: 16.610 test acc: 17.420  53.782 s
[29] loss: 3.431, train acc: 16.740 test acc: 17.990  53.467 s
[30] loss: 3.411, train acc: 17.194 test acc: 17.170  53.539 s
[31] loss: 3.388, train acc: 17.624 test acc: 17.880  53.714 s
[32] loss: 3.371, train acc: 17.740 test acc: 18.560  53.706 s
[33] loss: 3.349, train acc: 18.270 test acc: 19.340  53.691 s
[34] loss: 3.332, train acc: 18.402 test acc: 19.370  53.668 s
[35] loss: 3.306, train acc: 19.026 test acc: 20.090  53.679 s
[36] loss: 3.289, train acc: 19.088 test acc: 20.650  54.028 s
[37] loss: 3.276, train acc: 19.402 test acc: 20.160  53.590 s
[38] loss: 3.264, train acc: 19.670 test acc: 20.210  53.295 s
[39] loss: 3.251, train acc: 20.096 test acc: 20.460  53.592 s
[40] loss: 3.231, train acc: 20.200 test acc: 21.240  53.659 s
[41] loss: 3.213, train acc: 20.644 test acc: 21.180  53.495 s
[42] loss: 3.203, train acc: 20.584 test acc: 21.280  53.475 s
[43] loss: 3.188, train acc: 20.812 test acc: 21.480  53.620 s
[44] loss: 3.169, train acc: 21.454 test acc: 22.450  54.043 s
[45] loss: 3.147, train acc: 21.652 test acc: 22.620  53.962 s
[46] loss: 3.140, train acc: 21.732 test acc: 22.440  53.727 s
[47] loss: 3.123, train acc: 21.986 test acc: 23.080  54.167 s
[48] loss: 3.116, train acc: 22.074 test acc: 22.730  53.505 s
[49] loss: 3.098, train acc: 22.682 test acc: 23.320  54.049 s
[50] loss: 3.080, train acc: 22.728 test acc: 23.900  53.901 s
[51] loss: 3.067, train acc: 23.392 test acc: 23.620  53.870 s
[52] loss: 3.054, train acc: 23.504 test acc: 23.620  53.709 s
[53] loss: 3.047, train acc: 23.472 test acc: 24.600  53.643 s
[54] loss: 3.037, train acc: 23.698 test acc: 24.140  53.926 s
[55] loss: 3.021, train acc: 23.990 test acc: 23.950  53.967 s
[56] loss: 3.006, train acc: 24.434 test acc: 24.840  53.810 s
[57] loss: 2.989, train acc: 24.778 test acc: 24.730  54.646 s
[58] loss: 2.980, train acc: 24.724 test acc: 25.460  56.491 s
[59] loss: 2.974, train acc: 24.816 test acc: 24.990  54.065 s
[60] loss: 2.960, train acc: 25.410 test acc: 25.930  54.191 s
[61] loss: 2.951, train acc: 25.440 test acc: 25.470  53.872 s
[62] loss: 2.945, train acc: 25.388 test acc: 25.770  54.044 s
[63] loss: 2.922, train acc: 25.990 test acc: 25.630  53.929 s
[64] loss: 2.916, train acc: 26.050 test acc: 26.210  54.306 s
[65] loss: 2.901, train acc: 26.078 test acc: 26.730  53.615 s
[66] loss: 2.887, train acc: 26.548 test acc: 26.510  53.596 s
[67] loss: 2.873, train acc: 26.882 test acc: 26.690  53.925 s
[68] loss: 2.865, train acc: 27.226 test acc: 27.530  54.422 s
[69] loss: 2.844, train acc: 27.356 test acc: 27.770  55.486 s
[70] loss: 2.842, train acc: 27.600 test acc: 27.310  55.492 s
[71] loss: 2.835, train acc: 27.830 test acc: 27.260  54.427 s
[72] loss: 2.820, train acc: 27.988 test acc: 28.660  55.236 s
[73] loss: 2.810, train acc: 28.138 test acc: 27.690  54.240 s
[74] loss: 2.801, train acc: 28.604 test acc: 28.760  54.236 s
[75] loss: 2.789, train acc: 28.620 test acc: 28.710  54.160 s
[76] loss: 2.783, train acc: 28.844 test acc: 29.120  54.123 s
[77] loss: 2.769, train acc: 29.048 test acc: 29.140  54.197 s
[78] loss: 2.763, train acc: 29.240 test acc: 29.970  53.975 s
[79] loss: 2.753, train acc: 29.374 test acc: 29.960  54.273 s
[80] loss: 2.745, train acc: 29.374 test acc: 29.820  54.293 s
[81] loss: 2.738, train acc: 29.674 test acc: 30.400  54.071 s
[82] loss: 2.723, train acc: 30.016 test acc: 29.960  55.252 s
[83] loss: 2.715, train acc: 30.286 test acc: 30.180  53.916 s
[84] loss: 2.710, train acc: 30.148 test acc: 31.010  54.781 s
[85] loss: 2.706, train acc: 30.102 test acc: 31.060  54.028 s
[86] loss: 2.697, train acc: 30.360 test acc: 30.740  53.910 s
[87] loss: 2.679, train acc: 30.736 test acc: 30.560  54.054 s
[88] loss: 2.683, train acc: 30.784 test acc: 30.690  54.112 s
[89] loss: 2.669, train acc: 31.036 test acc: 32.080  54.032 s
[90] loss: 2.658, train acc: 31.414 test acc: 31.710  53.880 s
[91] loss: 2.651, train acc: 31.624 test acc: 31.560  54.658 s
[92] loss: 2.651, train acc: 31.264 test acc: 31.520  55.376 s
[93] loss: 2.643, train acc: 31.672 test acc: 32.400  54.047 s
[94] loss: 2.629, train acc: 31.752 test acc: 31.670  54.259 s
[95] loss: 2.621, train acc: 32.028 test acc: 32.080  53.842 s
[96] loss: 2.624, train acc: 31.970 test acc: 31.160  53.729 s
[97] loss: 2.616, train acc: 32.458 test acc: 31.780  54.611 s
[98] loss: 2.614, train acc: 32.282 test acc: 31.760  54.540 s
[99] loss: 2.599, train acc: 32.370 test acc: 32.300  54.028 s
[100] loss: 2.595, train acc: 32.500 test acc: 31.980  54.429 s
[1] loss: 2.606, train acc: 32.364 test acc: 32.720  53.990 s
[2] loss: 2.614, train acc: 32.310 test acc: 32.230  56.967 s
[3] loss: 2.612, train acc: 32.240 test acc: 32.410  54.126 s
[4] loss: 2.612, train acc: 32.398 test acc: 32.430  54.456 s
[5] loss: 2.605, train acc: 32.702 test acc: 32.540  54.432 s
[6] loss: 2.603, train acc: 32.564 test acc: 32.530  54.123 s
[7] loss: 2.604, train acc: 32.620 test acc: 31.990  54.534 s
[8] loss: 2.600, train acc: 32.832 test acc: 32.820  54.062 s
[9] loss: 2.601, train acc: 32.638 test acc: 31.670  53.970 s
[10] loss: 2.590, train acc: 33.214 test acc: 32.670  54.172 s
[11] loss: 2.592, train acc: 32.738 test acc: 32.680  54.453 s
[12] loss: 2.586, train acc: 33.028 test acc: 33.010  54.144 s
[13] loss: 2.582, train acc: 32.946 test acc: 32.070  53.945 s
[14] loss: 2.585, train acc: 33.022 test acc: 32.750  54.582 s
[15] loss: 2.582, train acc: 33.110 test acc: 32.540  55.760 s
[16] loss: 2.576, train acc: 33.104 test acc: 32.980  54.531 s
[17] loss: 2.583, train acc: 32.884 test acc: 32.230  54.243 s
[18] loss: 2.581, train acc: 32.936 test acc: 33.450  55.579 s
[19] loss: 2.568, train acc: 33.316 test acc: 33.050  53.676 s
[20] loss: 2.562, train acc: 33.510 test acc: 32.790  54.150 s
[21] loss: 2.562, train acc: 33.370 test acc: 32.760  53.943 s
[22] loss: 2.566, train acc: 32.940 test acc: 32.880  54.542 s
[23] loss: 2.558, train acc: 33.344 test acc: 33.450  53.933 s
[24] loss: 2.563, train acc: 33.496 test acc: 33.040  54.259 s
[25] loss: 2.559, train acc: 33.498 test acc: 33.040  54.072 s
[26] loss: 2.557, train acc: 33.456 test acc: 32.530  54.001 s
[27] loss: 2.558, train acc: 33.482 test acc: 33.150  54.378 s
[28] loss: 2.550, train acc: 33.480 test acc: 34.020  55.331 s
[29] loss: 2.543, train acc: 34.054 test acc: 33.360  53.815 s
[30] loss: 2.552, train acc: 33.380 test acc: 33.000  54.545 s
[1] loss: 2.525, train acc: 34.150 test acc: 34.000  41.797 s
[2] loss: 2.529, train acc: 33.854 test acc: 33.740  41.085 s
[3] loss: 2.515, train acc: 34.202 test acc: 33.680  41.166 s
[4] loss: 2.520, train acc: 34.328 test acc: 33.790  41.357 s
[5] loss: 2.517, train acc: 34.228 test acc: 34.250  44.140 s
[6] loss: 2.510, train acc: 34.276 test acc: 33.430  41.460 s
[7] loss: 2.511, train acc: 34.274 test acc: 33.610  41.192 s
[8] loss: 2.511, train acc: 34.610 test acc: 33.520  42.619 s
[9] loss: 2.507, train acc: 34.378 test acc: 34.290  41.492 s
[10] loss: 2.507, train acc: 34.606 test acc: 34.560  41.443 s
[11] loss: 2.500, train acc: 34.582 test acc: 34.210  41.442 s
[12] loss: 2.510, train acc: 34.462 test acc: 34.470  41.176 s
[13] loss: 2.501, train acc: 34.628 test acc: 34.830  41.459 s
[14] loss: 2.496, train acc: 34.628 test acc: 34.040  41.684 s
[15] loss: 2.481, train acc: 35.080 test acc: 34.580  41.584 s
[16] loss: 2.484, train acc: 35.050 test acc: 34.100  41.615 s
[17] loss: 2.480, train acc: 35.106 test acc: 34.390  41.464 s
[18] loss: 2.479, train acc: 34.860 test acc: 34.770  41.454 s
[19] loss: 2.473, train acc: 34.836 test acc: 34.580  41.494 s
[20] loss: 2.478, train acc: 34.966 test acc: 34.290  43.429 s
[21] loss: 2.468, train acc: 35.540 test acc: 35.060  41.663 s
[22] loss: 2.477, train acc: 35.188 test acc: 34.750  42.660 s
[23] loss: 2.466, train acc: 35.290 test acc: 35.080  42.169 s
[24] loss: 2.462, train acc: 35.386 test acc: 34.380  41.357 s
[25] loss: 2.469, train acc: 35.526 test acc: 34.750  41.395 s
[26] loss: 2.465, train acc: 35.478 test acc: 34.520  41.940 s
[27] loss: 2.471, train acc: 35.154 test acc: 34.900  41.814 s
[28] loss: 2.458, train acc: 35.716 test acc: 35.410  42.068 s
[29] loss: 2.460, train acc: 35.334 test acc: 35.280  41.620 s
[30] loss: 2.458, train acc: 35.512 test acc: 35.950  41.554 s
[1] loss: 2.432, train acc: 36.406 test acc: 36.090  36.880 s
[2] loss: 2.439, train acc: 36.044 test acc: 35.760  36.727 s
[3] loss: 2.442, train acc: 36.346 test acc: 35.810  36.796 s
[4] loss: 2.432, train acc: 36.308 test acc: 35.330  36.726 s