
Epoch 0, train loss: 0.0920, val loss: 0.1140
Epoch 10, train loss: 0.0189, val loss: 0.0118
Epoch 20, train loss: 0.0074, val loss: 0.0167
Epoch 30, train loss: 0.0026, val loss: 0.0071
Epoch 40, train loss: 0.0050, val loss: 0.0177
Epoch 0, train loss: 0.0920, val loss: 0.1140
Epoch 10, train loss: 0.0189, val loss: 0.0118
Epoch 20, train loss: 0.0074, val loss: 0.0167
Epoch 30, train loss: 0.0026, val loss: 0.0071
Epoch 40, train loss: 0.0050, val loss: 0.0177
Epoch 50, train loss: 0.0039, val loss: 0.0086
Epoch 60, train loss: 0.0015, val loss: 0.0177
Epoch 70, train loss: 0.0025, val loss: 0.0069
Epoch 80, train loss: 0.0023, val loss: 0.0032
Epoch 0, train loss: 0.0920, val loss: 0.3890
Epoch 10, train loss: 0.0290, val loss: 0.0902
Epoch 20, train loss: 0.0140, val loss: 0.0679
Epoch 30, train loss: 0.0020, val loss: 0.0055
Epoch 40, train loss: 0.0017, val loss: 0.0209
Epoch 0, train loss: 0.0920, val loss: 0.3890
Epoch 10, train loss: 0.0290, val loss: 0.0902
Epoch 20, train loss: 0.0140, val loss: 0.0679
Epoch 30, train loss: 0.0020, val loss: 0.0055
Epoch 40, train loss: 0.0017, val loss: 0.0209
Epoch 50, train loss: 0.0027, val loss: 0.0021
Epoch 60, train loss: 0.0017, val loss: 0.0046
Epoch 70, train loss: 0.0015, val loss: 0.0090
Inferred coeffs for Iceland: [3.5446572e+00 1.0000000e-06 2.0018532e+00 1.0000000e-06 1.2635212e+00]
Epoch 0, train loss: 0.0731, val loss: 0.0212
Epoch 10, train loss: 0.0297, val loss: 0.0650
Epoch 20, train loss: 0.0149, val loss: 0.0289
Epoch 30, train loss: 0.0028, val loss: 0.0325
Epoch 40, train loss: 0.0081, val loss: 0.0094
Epoch 0, train loss: 0.0731, val loss: 0.0212
Epoch 10, train loss: 0.0297, val loss: 0.0650
Epoch 20, train loss: 0.0149, val loss: 0.0289
Epoch 30, train loss: 0.0028, val loss: 0.0325
Epoch 40, train loss: 0.0081, val loss: 0.0094
Epoch 50, train loss: 0.0020, val loss: 0.0132
Epoch 60, train loss: 0.0050, val loss: 0.0332
Epoch 70, train loss: 0.0077, val loss: 0.0104
Epoch 80, train loss: 0.0034, val loss: 0.0063
Epoch 90, train loss: 0.0025, val loss: 0.0025
Epoch 0, train loss: 0.0731, val loss: 0.2902
Epoch 10, train loss: 0.0084, val loss: 0.0032
Epoch 20, train loss: 0.0108, val loss: 0.0501
Epoch 30, train loss: 0.0053, val loss: 0.0030
Epoch 40, train loss: 0.0017, val loss: 0.0087
Epoch 0, train loss: 0.0731, val loss: 0.2902
Epoch 10, train loss: 0.0084, val loss: 0.0032
Epoch 20, train loss: 0.0108, val loss: 0.0501
Epoch 30, train loss: 0.0053, val loss: 0.0030
Epoch 40, train loss: 0.0017, val loss: 0.0087
Epoch 50, train loss: 0.0021, val loss: 0.0184
Epoch 60, train loss: 0.0018, val loss: 0.0186
Inferred coeffs for Canada: [3.4508350e+00 1.0000000e-06 1.9985440e+00 1.0000000e-06 1.2536925e+00]
Epoch 0, train loss: 0.0793, val loss: 0.0818
Epoch 10, train loss: 0.0247, val loss: 0.0692
Epoch 20, train loss: 0.0084, val loss: 0.0263
Epoch 30, train loss: 0.0075, val loss: 0.0320
Epoch 40, train loss: 0.0037, val loss: 0.0298
Epoch 0, train loss: 0.0793, val loss: 0.0818
Epoch 10, train loss: 0.0247, val loss: 0.0692
Epoch 20, train loss: 0.0084, val loss: 0.0263
Epoch 30, train loss: 0.0075, val loss: 0.0320
Epoch 40, train loss: 0.0037, val loss: 0.0298
Epoch 50, train loss: 0.0039, val loss: 0.0026
Epoch 60, train loss: 0.0030, val loss: 0.0124
Epoch 0, train loss: 0.0793, val loss: 0.3550
Epoch 10, train loss: 0.0161, val loss: 0.0580
Epoch 20, train loss: 0.0138, val loss: 0.0395
Epoch 30, train loss: 0.0068, val loss: 0.0435
Epoch 40, train loss: 0.0042, val loss: 0.0017
Epoch 0, train loss: 0.0793, val loss: 0.3550
Epoch 10, train loss: 0.0161, val loss: 0.0580
Epoch 20, train loss: 0.0138, val loss: 0.0395
Epoch 30, train loss: 0.0068, val loss: 0.0435
Epoch 40, train loss: 0.0042, val loss: 0.0017
Epoch 50, train loss: 0.0016, val loss: 0.0119
Epoch 60, train loss: 0.0019, val loss: 0.0186
Inferred coeffs for Algeria: [3.7501361e+00 1.0000000e-06 2.0001075e+00 1.0000000e-06 1.2784808e+00]
Epoch 0, train loss: 0.0844, val loss: 0.0805
Epoch 10, train loss: 0.0116, val loss: 0.0197
Epoch 20, train loss: 0.0047, val loss: 0.0027
Epoch 30, train loss: 0.0061, val loss: 0.0228
Epoch 40, train loss: 0.0051, val loss: 0.0106
Epoch 0, train loss: 0.0844, val loss: 0.0805
Epoch 10, train loss: 0.0116, val loss: 0.0197
Epoch 20, train loss: 0.0047, val loss: 0.0027
Epoch 30, train loss: 0.0061, val loss: 0.0228
Epoch 40, train loss: 0.0051, val loss: 0.0106
Epoch 50, train loss: 0.0058, val loss: 0.0164
Epoch 0, train loss: 0.0844, val loss: 0.3550
Epoch 10, train loss: 0.0213, val loss: 0.0567
Epoch 20, train loss: 0.0133, val loss: 0.0630
Epoch 30, train loss: 0.0055, val loss: 0.0153
Epoch 40, train loss: 0.0035, val loss: 0.0226
Epoch 0, train loss: 0.0844, val loss: 0.3550
Epoch 10, train loss: 0.0213, val loss: 0.0567
Epoch 20, train loss: 0.0133, val loss: 0.0630
Epoch 30, train loss: 0.0055, val loss: 0.0153
Epoch 40, train loss: 0.0035, val loss: 0.0226
Epoch 50, train loss: 0.0014, val loss: 0.0156
Epoch 60, train loss: 0.0012, val loss: 0.0101
Inferred coeffs for Burkina Faso: [3.7503800e+00 1.0000000e-06 2.0000019e+00 1.0000000e-06 1.2784096e+00]
Epoch 0, train loss: 0.0864, val loss: 0.1009
Epoch 10, train loss: 0.0134, val loss: 0.0022
Epoch 20, train loss: 0.0148, val loss: 0.0519
Epoch 30, train loss: 0.0061, val loss: 0.0184
Epoch 40, train loss: 0.0100, val loss: 0.0389
Epoch 0, train loss: 0.0864, val loss: 0.1009
Epoch 10, train loss: 0.0134, val loss: 0.0022
Epoch 20, train loss: 0.0148, val loss: 0.0519
Epoch 30, train loss: 0.0061, val loss: 0.0184
Epoch 40, train loss: 0.0100, val loss: 0.0389
Epoch 0, train loss: 0.0864, val loss: 0.3754
Epoch 10, train loss: 0.0235, val loss: 0.0771
Epoch 20, train loss: 0.0151, val loss: 0.0607
Epoch 30, train loss: 0.0033, val loss: 0.0220
Epoch 40, train loss: 0.0032, val loss: 0.0144
Epoch 0, train loss: 0.0864, val loss: 0.3754
Epoch 10, train loss: 0.0235, val loss: 0.0771
Epoch 20, train loss: 0.0151, val loss: 0.0607
Epoch 30, train loss: 0.0033, val loss: 0.0220
Epoch 40, train loss: 0.0032, val loss: 0.0144
Epoch 50, train loss: 0.0017, val loss: 0.0031
Epoch 60, train loss: 0.0012, val loss: 0.0020
Inferred coeffs for Ghana: [3.7490504e+00 1.0000000e-06 2.0008488e+00 1.0000000e-06 1.2792151e+00]
Epoch 0, train loss: 0.0840, val loss: 0.0856
Epoch 10, train loss: 0.0115, val loss: 0.0132
Epoch 20, train loss: 0.0014, val loss: 0.0125
Epoch 30, train loss: 0.0030, val loss: 0.0010
Epoch 40, train loss: 0.0019, val loss: 0.0305
Epoch 0, train loss: 0.0840, val loss: 0.0856
Epoch 10, train loss: 0.0115, val loss: 0.0132
Epoch 20, train loss: 0.0014, val loss: 0.0125
Epoch 30, train loss: 0.0030, val loss: 0.0010
Epoch 40, train loss: 0.0019, val loss: 0.0305
Epoch 50, train loss: 0.0049, val loss: 0.0007
Epoch 60, train loss: 0.0012, val loss: 0.0141
Epoch 70, train loss: 0.0035, val loss: 0.0024
Epoch 80, train loss: 0.0096, val loss: 0.0298
Epoch 0, train loss: 0.0840, val loss: 0.3599
Epoch 10, train loss: 0.0209, val loss: 0.0618
Epoch 20, train loss: 0.0122, val loss: 0.0508
Epoch 30, train loss: 0.0057, val loss: 0.0213
Epoch 40, train loss: 0.0025, val loss: 0.0092
Epoch 0, train loss: 0.0840, val loss: 0.3599
Epoch 10, train loss: 0.0209, val loss: 0.0618
Epoch 20, train loss: 0.0122, val loss: 0.0508
Epoch 30, train loss: 0.0057, val loss: 0.0213
Epoch 40, train loss: 0.0025, val loss: 0.0092
Epoch 50, train loss: 0.0013, val loss: 0.0058
Epoch 60, train loss: 0.0008, val loss: 0.0007
Epoch 70, train loss: 0.0007, val loss: 0.0062
Epoch 80, train loss: 0.0007, val loss: 0.0033
Inferred coeffs for Cote d'Ivoire: [3.7481132e+00 1.0000000e-06 2.0002177e+00 1.0000000e-06 1.2784882e+00]
Epoch 0, train loss: 0.0894, val loss: 0.0946
Epoch 10, train loss: 0.0161, val loss: 0.0087
Epoch 20, train loss: 0.0033, val loss: 0.0501
Epoch 30, train loss: 0.0029, val loss: 0.0075
Epoch 40, train loss: 0.0039, val loss: 0.0195
Epoch 0, train loss: 0.0894, val loss: 0.0946
Epoch 10, train loss: 0.0161, val loss: 0.0087
Epoch 20, train loss: 0.0033, val loss: 0.0501
Epoch 30, train loss: 0.0029, val loss: 0.0075
Epoch 40, train loss: 0.0039, val loss: 0.0195
Epoch 50, train loss: 0.0029, val loss: 0.0173
Epoch 60, train loss: 0.0025, val loss: 0.0183
Epoch 0, train loss: 0.0894, val loss: 0.3700
Epoch 10, train loss: 0.0265, val loss: 0.0708
Epoch 20, train loss: 0.0139, val loss: 0.0757
Epoch 30, train loss: 0.0032, val loss: 0.0020
Epoch 40, train loss: 0.0031, val loss: 0.0308
Epoch 0, train loss: 0.0894, val loss: 0.3700
Epoch 10, train loss: 0.0265, val loss: 0.0708
Epoch 20, train loss: 0.0139, val loss: 0.0757
Epoch 30, train loss: 0.0032, val loss: 0.0020
Epoch 40, train loss: 0.0031, val loss: 0.0308
Epoch 50, train loss: 0.0029, val loss: 0.0068
Epoch 60, train loss: 0.0028, val loss: 0.0223
Inferred coeffs for Niger: [3.5735996e+00 1.0000000e-06 2.0007353e+00 1.0000000e-06 1.2642258e+00]
Epoch 0, train loss: 0.0776, val loss: 0.0548
Epoch 10, train loss: 0.0298, val loss: 0.0770
Epoch 20, train loss: 0.0201, val loss: 0.0776
Epoch 30, train loss: 0.0122, val loss: 0.0495
Epoch 40, train loss: 0.0046, val loss: 0.0040
Epoch 0, train loss: 0.0776, val loss: 0.0548
Epoch 10, train loss: 0.0298, val loss: 0.0770
Epoch 20, train loss: 0.0201, val loss: 0.0776
Epoch 30, train loss: 0.0122, val loss: 0.0495
Epoch 40, train loss: 0.0046, val loss: 0.0040
Epoch 50, train loss: 0.0065, val loss: 0.0141
Epoch 60, train loss: 0.0012, val loss: 0.0014
Epoch 70, train loss: 0.0018, val loss: 0.0122
Epoch 0, train loss: 0.0776, val loss: 0.3267
Epoch 10, train loss: 0.0140, val loss: 0.0309
Epoch 20, train loss: 0.0123, val loss: 0.0500
Epoch 30, train loss: 0.0070, val loss: 0.0236
Epoch 40, train loss: 0.0035, val loss: 0.0146
Epoch 0, train loss: 0.0776, val loss: 0.3267
Epoch 10, train loss: 0.0140, val loss: 0.0309
Epoch 20, train loss: 0.0123, val loss: 0.0500
Epoch 30, train loss: 0.0070, val loss: 0.0236
Epoch 40, train loss: 0.0035, val loss: 0.0146
Epoch 50, train loss: 0.0012, val loss: 0.0121
Epoch 60, train loss: 0.0012, val loss: 0.0095
Epoch 70, train loss: 0.0011, val loss: 0.0070
Inferred coeffs for Tunisia: [3.4979315e+00 1.0000000e-06 1.9992876e+00 1.0000000e-06 1.2567279e+00]
Epoch 0, train loss: 0.0462, val loss: 0.0780
Epoch 10, train loss: 0.0009, val loss: 0.0074
Epoch 20, train loss: 0.0117, val loss: 0.0032
Epoch 30, train loss: 0.0078, val loss: 0.0492
Epoch 40, train loss: 0.0081, val loss: 0.0411
Epoch 0, train loss: 0.0462, val loss: 0.0780
Epoch 10, train loss: 0.0009, val loss: 0.0074
Epoch 20, train loss: 0.0117, val loss: 0.0032
Epoch 30, train loss: 0.0078, val loss: 0.0492
Epoch 40, train loss: 0.0081, val loss: 0.0411
Epoch 50, train loss: 0.0082, val loss: 0.0034
Epoch 60, train loss: 0.0049, val loss: 0.0470
Epoch 70, train loss: 0.0038, val loss: 0.0034
Epoch 0, train loss: 0.0462, val loss: 0.1910
Epoch 10, train loss: 0.0109, val loss: 0.0405
Epoch 20, train loss: 0.0062, val loss: 0.0368
Epoch 30, train loss: 0.0026, val loss: 0.0051
Epoch 40, train loss: 0.0020, val loss: 0.0037
Epoch 0, train loss: 0.0462, val loss: 0.1910
Epoch 10, train loss: 0.0109, val loss: 0.0405
Epoch 20, train loss: 0.0062, val loss: 0.0368
Epoch 30, train loss: 0.0026, val loss: 0.0051
Epoch 40, train loss: 0.0020, val loss: 0.0037
Inferred coeffs for Belgium: [3.7611744e+00 1.0000000e-06 1.9939995e+00 1.0000000e-06 1.2728089e+00]
Epoch 0, train loss: 0.1962, val loss: 0.3951
Epoch 10, train loss: 0.0116, val loss: 0.1295
Epoch 20, train loss: 0.0094, val loss: 0.0133
Epoch 30, train loss: 0.0192, val loss: 0.0334
Epoch 40, train loss: 0.0083, val loss: 0.0075
Epoch 0, train loss: 0.1962, val loss: 0.3951
Epoch 10, train loss: 0.0116, val loss: 0.1295
Epoch 20, train loss: 0.0094, val loss: 0.0133
Epoch 30, train loss: 0.0192, val loss: 0.0334
Epoch 40, train loss: 0.0083, val loss: 0.0075
Epoch 50, train loss: 0.0246, val loss: 0.1263
Epoch 0, train loss: 0.1962, val loss: 1.1571
Epoch 10, train loss: 0.0758, val loss: 0.3351
Epoch 20, train loss: 0.0222, val loss: 0.1387
Epoch 30, train loss: 0.0027, val loss: 0.0292
Epoch 40, train loss: 0.0061, val loss: 0.0478
Epoch 0, train loss: 0.1962, val loss: 1.1571
Epoch 10, train loss: 0.0758, val loss: 0.3351
Epoch 20, train loss: 0.0222, val loss: 0.1387
Epoch 30, train loss: 0.0027, val loss: 0.0292
Epoch 40, train loss: 0.0061, val loss: 0.0478
Epoch 50, train loss: 0.0030, val loss: 0.0047
Epoch 60, train loss: 0.0013, val loss: 0.0114
Epoch 70, train loss: 0.0012, val loss: 0.0036
Epoch 80, train loss: 0.0005, val loss: 0.0063
Epoch 90, train loss: 0.0004, val loss: 0.0107
Inferred coeffs for Germany: [3.7532899e+00 1.0000000e-06 1.9704531e+00 1.0000000e-06 1.2484607e+00]
Epoch 0, train loss: 0.0859, val loss: 0.0961
Epoch 10, train loss: 0.0132, val loss: 0.0038
Epoch 20, train loss: 0.0025, val loss: 0.0064
Epoch 30, train loss: 0.0057, val loss: 0.0366
Epoch 40, train loss: 0.0032, val loss: 0.0198
Epoch 0, train loss: 0.0859, val loss: 0.0961
Epoch 10, train loss: 0.0132, val loss: 0.0038
Epoch 20, train loss: 0.0025, val loss: 0.0064
Epoch 30, train loss: 0.0057, val loss: 0.0366
Epoch 40, train loss: 0.0032, val loss: 0.0198
Epoch 50, train loss: 0.0037, val loss: 0.0015
Epoch 60, train loss: 0.0088, val loss: 0.0210
Epoch 70, train loss: 0.0047, val loss: 0.0089
Epoch 80, train loss: 0.0030, val loss: 0.0095
Epoch 90, train loss: 0.0038, val loss: 0.0073
Epoch 0, train loss: 0.0859, val loss: 0.3706
Epoch 10, train loss: 0.0228, val loss: 0.0723
Epoch 20, train loss: 0.0153, val loss: 0.0635
Epoch 30, train loss: 0.0041, val loss: 0.0219
Epoch 40, train loss: 0.0026, val loss: 0.0158
Epoch 0, train loss: 0.0859, val loss: 0.3706
Epoch 10, train loss: 0.0228, val loss: 0.0723
Epoch 20, train loss: 0.0153, val loss: 0.0635
Epoch 30, train loss: 0.0041, val loss: 0.0219
Epoch 40, train loss: 0.0026, val loss: 0.0158
Inferred coeffs for Estonia: [3.4854815e+00 1.0000000e-06 2.0010729e+00 1.0000000e-06 1.2609575e+00]
Epoch 0, train loss: 0.0949, val loss: 0.1499
Epoch 10, train loss: 0.0335, val loss: 0.1069
Epoch 20, train loss: 0.0220, val loss: 0.1093
Epoch 30, train loss: 0.0142, val loss: 0.0830
Epoch 40, train loss: 0.0103, val loss: 0.0376
Epoch 0, train loss: 0.0949, val loss: 0.1499
Epoch 10, train loss: 0.0335, val loss: 0.1069
Epoch 20, train loss: 0.0220, val loss: 0.1093
Epoch 30, train loss: 0.0142, val loss: 0.0830
Epoch 40, train loss: 0.0103, val loss: 0.0376
Epoch 50, train loss: 0.0086, val loss: 0.0028
Epoch 60, train loss: 0.0077, val loss: 0.0127
Epoch 70, train loss: 0.0081, val loss: 0.0076
Epoch 80, train loss: 0.0076, val loss: 0.0057
Epoch 0, train loss: 0.0949, val loss: 0.4194
Epoch 10, train loss: 0.0306, val loss: 0.1258
Epoch 20, train loss: 0.0150, val loss: 0.0406
Epoch 30, train loss: 0.0081, val loss: 0.0252
Epoch 40, train loss: 0.0084, val loss: 0.0151
Epoch 0, train loss: 0.0949, val loss: 0.4194
Epoch 10, train loss: 0.0306, val loss: 0.1258
Epoch 20, train loss: 0.0150, val loss: 0.0406
Epoch 30, train loss: 0.0081, val loss: 0.0252
Epoch 40, train loss: 0.0084, val loss: 0.0151
Epoch 50, train loss: 0.0071, val loss: 0.0065
Inferred coeffs for Ireland: [3.5530918e+00 1.0000000e-06 2.0045455e+00 1.0000000e-06 1.2642833e+00]
Epoch 0, train loss: 0.0974, val loss: 0.1328
Epoch 10, train loss: 0.0288, val loss: 0.0532
Epoch 20, train loss: 0.0177, val loss: 0.0575
Epoch 30, train loss: 0.0132, val loss: 0.0270
Epoch 40, train loss: 0.0052, val loss: 0.0370
Epoch 0, train loss: 0.0974, val loss: 0.1328
Epoch 10, train loss: 0.0288, val loss: 0.0532
Epoch 20, train loss: 0.0177, val loss: 0.0575
Epoch 30, train loss: 0.0132, val loss: 0.0270
Epoch 40, train loss: 0.0052, val loss: 0.0370
Epoch 50, train loss: 0.0067, val loss: 0.0074
Epoch 60, train loss: 0.0055, val loss: 0.0081
Epoch 70, train loss: 0.0053, val loss: 0.0127
Epoch 0, train loss: 0.0974, val loss: 0.4058
Epoch 10, train loss: 0.0341, val loss: 0.1089
Epoch 20, train loss: 0.0133, val loss: 0.0691
Epoch 30, train loss: 0.0050, val loss: 0.0124
Epoch 40, train loss: 0.0060, val loss: 0.0158
Epoch 0, train loss: 0.0974, val loss: 0.4058
Epoch 10, train loss: 0.0341, val loss: 0.1089
Epoch 20, train loss: 0.0133, val loss: 0.0691
Epoch 30, train loss: 0.0050, val loss: 0.0124
Epoch 40, train loss: 0.0060, val loss: 0.0158
Epoch 50, train loss: 0.0050, val loss: 0.0174
Epoch 60, train loss: 0.0052, val loss: 0.0279
Inferred coeffs for Luxembourg: [3.5506847e+00 1.0000000e-06 2.0030682e+00 1.0000000e-06 1.2634760e+00]
Epoch 0, train loss: 0.1004, val loss: 0.1071
Epoch 10, train loss: 0.0066, val loss: 0.0861
Epoch 20, train loss: 0.0138, val loss: 0.1027
Epoch 30, train loss: 0.0153, val loss: 0.0838
Epoch 40, train loss: 0.0119, val loss: 0.0475
Epoch 0, train loss: 0.1004, val loss: 0.1071
Epoch 10, train loss: 0.0066, val loss: 0.0861
Epoch 20, train loss: 0.0138, val loss: 0.1027
Epoch 30, train loss: 0.0153, val loss: 0.0838
Epoch 40, train loss: 0.0119, val loss: 0.0475
Epoch 50, train loss: 0.0097, val loss: 0.0111
Epoch 60, train loss: 0.0067, val loss: 0.0460
Epoch 70, train loss: 0.0052, val loss: 0.0466
Epoch 0, train loss: 0.1004, val loss: 0.3758
Epoch 10, train loss: 0.0353, val loss: 0.0827
Epoch 20, train loss: 0.0138, val loss: 0.0986
Epoch 30, train loss: 0.0048, val loss: 0.0334
Epoch 40, train loss: 0.0052, val loss: 0.0451
Epoch 0, train loss: 0.1004, val loss: 0.3758
Epoch 10, train loss: 0.0353, val loss: 0.0827
Epoch 20, train loss: 0.0138, val loss: 0.0986
Epoch 30, train loss: 0.0048, val loss: 0.0334
Epoch 40, train loss: 0.0052, val loss: 0.0451
Inferred coeffs for Norway: [3.5930438e+00 1.0000000e-06 2.0024695e+00 1.0000000e-06 1.2647610e+00]
Epoch 0, train loss: 0.0927, val loss: 0.1261
Epoch 10, train loss: 0.0322, val loss: 0.0889
Epoch 20, train loss: 0.0186, val loss: 0.0824
Epoch 30, train loss: 0.0101, val loss: 0.0269
Epoch 40, train loss: 0.0081, val loss: 0.0054
Epoch 0, train loss: 0.0927, val loss: 0.1261
Epoch 10, train loss: 0.0322, val loss: 0.0889
Epoch 20, train loss: 0.0186, val loss: 0.0824
Epoch 30, train loss: 0.0101, val loss: 0.0269
Epoch 40, train loss: 0.0081, val loss: 0.0054
Epoch 50, train loss: 0.0068, val loss: 0.0112
Epoch 60, train loss: 0.0068, val loss: 0.0058
Epoch 70, train loss: 0.0066, val loss: 0.0067
Epoch 80, train loss: 0.0065, val loss: 0.0042
Epoch 90, train loss: 0.0064, val loss: 0.0055
Epoch 0, train loss: 0.0927, val loss: 0.3947
Epoch 10, train loss: 0.0277, val loss: 0.1017
Epoch 20, train loss: 0.0164, val loss: 0.0556
Epoch 30, train loss: 0.0073, val loss: 0.0245
Epoch 40, train loss: 0.0066, val loss: 0.0057
Epoch 0, train loss: 0.0927, val loss: 0.3947
Epoch 10, train loss: 0.0277, val loss: 0.1017
Epoch 20, train loss: 0.0164, val loss: 0.0556
Epoch 30, train loss: 0.0073, val loss: 0.0245
Epoch 40, train loss: 0.0066, val loss: 0.0057
Epoch 50, train loss: 0.0060, val loss: 0.0059
Epoch 60, train loss: 0.0060, val loss: 0.0067
Epoch 70, train loss: 0.0060, val loss: 0.0046
Inferred coeffs for Poland: [3.6056004e+00 1.0000000e-06 2.0032246e+00 1.0000000e-06 1.2672179e+00]
Epoch 0, train loss: 0.0566, val loss: 0.0315
Epoch 10, train loss: 0.0022, val loss: 0.0018
Epoch 20, train loss: 0.0073, val loss: 0.0250
Epoch 30, train loss: 0.0083, val loss: 0.0226
Epoch 40, train loss: 0.0090, val loss: 0.0020
Epoch 0, train loss: 0.0566, val loss: 0.0315
Epoch 10, train loss: 0.0022, val loss: 0.0018
Epoch 20, train loss: 0.0073, val loss: 0.0250
Epoch 30, train loss: 0.0083, val loss: 0.0226
Epoch 40, train loss: 0.0090, val loss: 0.0020
Epoch 0, train loss: 0.0566, val loss: 0.2373
Epoch 10, train loss: 0.0065, val loss: 0.0348
Epoch 20, train loss: 0.0015, val loss: 0.0223
Epoch 30, train loss: 0.0034, val loss: 0.0091
Epoch 40, train loss: 0.0003, val loss: 0.0012
Epoch 0, train loss: 0.0566, val loss: 0.2373
Epoch 10, train loss: 0.0065, val loss: 0.0348
Epoch 20, train loss: 0.0015, val loss: 0.0223
Epoch 30, train loss: 0.0034, val loss: 0.0091
Epoch 40, train loss: 0.0003, val loss: 0.0012
Epoch 50, train loss: 0.0013, val loss: 0.0012
Inferred coeffs for Sweden: [3.7561216e+00 1.0000000e-06 1.9955821e+00 1.0000000e-06 1.2741598e+00]
Epoch 0, train loss: 0.0998, val loss: 0.1303
Epoch 10, train loss: 0.0162, val loss: 0.0204
Epoch 20, train loss: 0.0051, val loss: 0.0515
Epoch 30, train loss: 0.0064, val loss: 0.0235
Epoch 40, train loss: 0.0049, val loss: 0.0292
Epoch 0, train loss: 0.0998, val loss: 0.1303
Epoch 10, train loss: 0.0162, val loss: 0.0204
Epoch 20, train loss: 0.0051, val loss: 0.0515
Epoch 30, train loss: 0.0064, val loss: 0.0235
Epoch 40, train loss: 0.0049, val loss: 0.0292
Epoch 0, train loss: 0.0998, val loss: 0.4052
Epoch 10, train loss: 0.0368, val loss: 0.1066
Epoch 20, train loss: 0.0118, val loss: 0.0789
Epoch 30, train loss: 0.0066, val loss: 0.0345
Epoch 40, train loss: 0.0062, val loss: 0.0120
Epoch 0, train loss: 0.0998, val loss: 0.4052
Epoch 10, train loss: 0.0368, val loss: 0.1066
Epoch 20, train loss: 0.0118, val loss: 0.0789
Epoch 30, train loss: 0.0066, val loss: 0.0345
Epoch 40, train loss: 0.0062, val loss: 0.0120
Epoch 50, train loss: 0.0054, val loss: 0.0321
Epoch 60, train loss: 0.0051, val loss: 0.0164
Inferred coeffs for South Africa: [3.7475784e+00 1.0000000e-06 2.0021305e+00 1.0000000e-06 1.2804668e+00]
Epoch 0, train loss: 0.0855, val loss: 0.0960
Epoch 10, train loss: 0.0124, val loss: 0.0067
Epoch 20, train loss: 0.0087, val loss: 0.0225
Epoch 30, train loss: 0.0070, val loss: 0.0131
Epoch 40, train loss: 0.0023, val loss: 0.0026
Epoch 0, train loss: 0.0855, val loss: 0.0960
Epoch 10, train loss: 0.0124, val loss: 0.0067
Epoch 20, train loss: 0.0087, val loss: 0.0225
Epoch 30, train loss: 0.0070, val loss: 0.0131
Epoch 40, train loss: 0.0023, val loss: 0.0026
Epoch 0, train loss: 0.0855, val loss: 0.3712
Epoch 10, train loss: 0.0226, val loss: 0.0722
Epoch 20, train loss: 0.0144, val loss: 0.0585
Epoch 30, train loss: 0.0047, val loss: 0.0256
Epoch 40, train loss: 0.0032, val loss: 0.0160
Epoch 0, train loss: 0.0855, val loss: 0.3712
Epoch 10, train loss: 0.0226, val loss: 0.0722
Epoch 20, train loss: 0.0144, val loss: 0.0585
Epoch 30, train loss: 0.0047, val loss: 0.0256
Epoch 40, train loss: 0.0032, val loss: 0.0160
Inferred coeffs for Cameroon: [3.7594359e+00 1.0000000e-06 2.0006268e+00 1.0000000e-06 1.2797823e+00]
Epoch 0, train loss: 0.0845, val loss: 0.0883
Epoch 10, train loss: 0.0113, val loss: 0.0146
Epoch 20, train loss: 0.0019, val loss: 0.0099
Epoch 30, train loss: 0.0043, val loss: 0.0087
Epoch 40, train loss: 0.0011, val loss: 0.0358
Epoch 0, train loss: 0.0845, val loss: 0.0883
Epoch 10, train loss: 0.0113, val loss: 0.0146
Epoch 20, train loss: 0.0019, val loss: 0.0099
Epoch 30, train loss: 0.0043, val loss: 0.0087
Epoch 40, train loss: 0.0011, val loss: 0.0358
Epoch 50, train loss: 0.0083, val loss: 0.0327
Epoch 0, train loss: 0.0845, val loss: 0.3634
Epoch 10, train loss: 0.0217, val loss: 0.0645
Epoch 20, train loss: 0.0116, val loss: 0.0493
Epoch 30, train loss: 0.0055, val loss: 0.0193
Epoch 40, train loss: 0.0032, val loss: 0.0129
Epoch 0, train loss: 0.0845, val loss: 0.3634
Epoch 10, train loss: 0.0217, val loss: 0.0645
Epoch 20, train loss: 0.0116, val loss: 0.0493
Epoch 30, train loss: 0.0055, val loss: 0.0193
Epoch 40, train loss: 0.0032, val loss: 0.0129
Epoch 50, train loss: 0.0019, val loss: 0.0130
Epoch 60, train loss: 0.0012, val loss: 0.0087
Epoch 70, train loss: 0.0003, val loss: 0.0011
Epoch 80, train loss: 0.0004, val loss: 0.0039
Epoch 90, train loss: 0.0003, val loss: 0.0047
Inferred coeffs for Mali: [3.6333385e+00 1.0000000e-06 2.0004256e+00 1.0000000e-06 1.2682515e+00]
Epoch 0, train loss: 0.0692, val loss: 0.1351
Epoch 10, train loss: 0.0179, val loss: 0.1168
Epoch 20, train loss: 0.0202, val loss: 0.0594
Epoch 30, train loss: 0.0089, val loss: 0.0743
Epoch 40, train loss: 0.0122, val loss: 0.0311
Epoch 0, train loss: 0.0692, val loss: 0.1351
Epoch 10, train loss: 0.0179, val loss: 0.1168
Epoch 20, train loss: 0.0202, val loss: 0.0594
Epoch 30, train loss: 0.0089, val loss: 0.0743
Epoch 40, train loss: 0.0122, val loss: 0.0311
Epoch 50, train loss: 0.0032, val loss: 0.0178
Epoch 60, train loss: 0.0211, val loss: 0.0626
Epoch 70, train loss: 0.0050, val loss: 0.0162
Epoch 0, train loss: 0.0692, val loss: 0.2585
Epoch 10, train loss: 0.0128, val loss: 0.1058
Epoch 20, train loss: 0.0073, val loss: 0.0116
Epoch 30, train loss: 0.0012, val loss: 0.0233
Epoch 40, train loss: 0.0012, val loss: 0.0273
Epoch 0, train loss: 0.0692, val loss: 0.2585
Epoch 10, train loss: 0.0128, val loss: 0.1058
Epoch 20, train loss: 0.0073, val loss: 0.0116
Epoch 30, train loss: 0.0012, val loss: 0.0233
Epoch 40, train loss: 0.0012, val loss: 0.0273
Inferred coeffs for Spain: [3.7693043e+00 1.0000000e-06 1.9799012e+00 1.0000000e-06 1.2585801e+00]
Epoch 0, train loss: 0.0715, val loss: 0.0363
Epoch 10, train loss: 0.0556, val loss: 0.2322
Epoch 20, train loss: 0.0115, val loss: 0.0816
Epoch 30, train loss: 0.0075, val loss: 0.0449
Epoch 40, train loss: 0.0020, val loss: 0.0106
Epoch 0, train loss: 0.0715, val loss: 0.0363
Epoch 10, train loss: 0.0556, val loss: 0.2322
Epoch 20, train loss: 0.0115, val loss: 0.0816
Epoch 30, train loss: 0.0075, val loss: 0.0449
Epoch 40, train loss: 0.0020, val loss: 0.0106
Epoch 50, train loss: 0.0022, val loss: 0.0075
Epoch 60, train loss: 0.0022, val loss: 0.0025
Epoch 70, train loss: 0.0046, val loss: 0.0018
Epoch 0, train loss: 0.0715, val loss: 0.3061
Epoch 10, train loss: 0.0073, val loss: 0.0122
Epoch 20, train loss: 0.0104, val loss: 0.0290
Epoch 30, train loss: 0.0058, val loss: 0.0257
Epoch 40, train loss: 0.0019, val loss: 0.0056
Epoch 0, train loss: 0.0715, val loss: 0.3061
Epoch 10, train loss: 0.0073, val loss: 0.0122
Epoch 20, train loss: 0.0104, val loss: 0.0290
Epoch 30, train loss: 0.0058, val loss: 0.0257
Epoch 40, train loss: 0.0019, val loss: 0.0056
Epoch 50, train loss: 0.0024, val loss: 0.0051
Epoch 60, train loss: 0.0018, val loss: 0.0021
Epoch 70, train loss: 0.0019, val loss: 0.0017
Epoch 80, train loss: 0.0018, val loss: 0.0012
Epoch 90, train loss: 0.0018, val loss: 0.0009
Inferred coeffs for Morocco: [3.5151091e+00 1.0000000e-06 1.9988607e+00 1.0000000e-06 1.2559754e+00]
Epoch 0, train loss: 0.0839, val loss: 0.0935
Epoch 10, train loss: 0.0105, val loss: 0.0102
Epoch 20, train loss: 0.0083, val loss: 0.0539
Epoch 30, train loss: 0.0095, val loss: 0.0177
Epoch 40, train loss: 0.0078, val loss: 0.0375
Epoch 0, train loss: 0.0839, val loss: 0.0935
Epoch 10, train loss: 0.0105, val loss: 0.0102
Epoch 20, train loss: 0.0083, val loss: 0.0539
Epoch 30, train loss: 0.0095, val loss: 0.0177
Epoch 40, train loss: 0.0078, val loss: 0.0375
Epoch 50, train loss: 0.0043, val loss: 0.0093
Epoch 60, train loss: 0.0021, val loss: 0.0180
Epoch 70, train loss: 0.0054, val loss: 0.0033
Epoch 80, train loss: 0.0020, val loss: 0.0006
Epoch 90, train loss: 0.0020, val loss: 0.0104
Epoch 0, train loss: 0.0839, val loss: 0.3692
Epoch 10, train loss: 0.0210, val loss: 0.0698
Epoch 20, train loss: 0.0121, val loss: 0.0435
Epoch 30, train loss: 0.0057, val loss: 0.0287
Epoch 40, train loss: 0.0033, val loss: 0.0061
Epoch 0, train loss: 0.0839, val loss: 0.3692
Epoch 10, train loss: 0.0210, val loss: 0.0698
Epoch 20, train loss: 0.0121, val loss: 0.0435
Epoch 30, train loss: 0.0057, val loss: 0.0287
Epoch 40, train loss: 0.0033, val loss: 0.0061
Epoch 50, train loss: 0.0009, val loss: 0.0034
Epoch 60, train loss: 0.0010, val loss: 0.0005
Epoch 70, train loss: 0.0008, val loss: 0.0005
Epoch 80, train loss: 0.0009, val loss: 0.0035
Epoch 90, train loss: 0.0009, val loss: 0.0033
Inferred coeffs for Guinea: [3.7471383e+00 1.0000000e-06 2.0005772e+00 1.0000000e-06 1.2787801e+00]
Epoch 0, train loss: 0.0819, val loss: 0.0862
Epoch 10, train loss: 0.0085, val loss: 0.0178
Epoch 20, train loss: 0.0063, val loss: 0.0225
Epoch 30, train loss: 0.0114, val loss: 0.0034
Epoch 40, train loss: 0.0117, val loss: 0.0115
Epoch 0, train loss: 0.0819, val loss: 0.0862
Epoch 10, train loss: 0.0085, val loss: 0.0178
Epoch 20, train loss: 0.0063, val loss: 0.0225
Epoch 30, train loss: 0.0114, val loss: 0.0034
Epoch 40, train loss: 0.0117, val loss: 0.0115
Epoch 50, train loss: 0.0033, val loss: 0.0276
Epoch 0, train loss: 0.0819, val loss: 0.3620
Epoch 10, train loss: 0.0190, val loss: 0.0625
Epoch 20, train loss: 0.0141, val loss: 0.0509
Epoch 30, train loss: 0.0059, val loss: 0.0333
Epoch 40, train loss: 0.0036, val loss: 0.0091
Epoch 0, train loss: 0.0819, val loss: 0.3620
Epoch 10, train loss: 0.0190, val loss: 0.0625
Epoch 20, train loss: 0.0141, val loss: 0.0509
Epoch 30, train loss: 0.0059, val loss: 0.0333
Epoch 40, train loss: 0.0036, val loss: 0.0091
Epoch 50, train loss: 0.0007, val loss: 0.0013
Epoch 60, train loss: 0.0006, val loss: 0.0004
Epoch 70, train loss: 0.0008, val loss: 0.0040
Epoch 80, train loss: 0.0005, val loss: 0.0065
Epoch 90, train loss: 0.0006, val loss: 0.0062
Inferred coeffs for Somalia: [3.7470646e+00 1.0000000e-06 2.0002477e+00 1.0000000e-06 1.2784293e+00]
Epoch 0, train loss: 0.0633, val loss: 0.0020
Epoch 10, train loss: 0.0047, val loss: 0.0168
Epoch 20, train loss: 0.0113, val loss: 0.0325
Epoch 30, train loss: 0.0045, val loss: 0.0049
Epoch 40, train loss: 0.0014, val loss: 0.0189
Epoch 0, train loss: 0.0633, val loss: 0.0020
Epoch 10, train loss: 0.0047, val loss: 0.0168
Epoch 20, train loss: 0.0113, val loss: 0.0325
Epoch 30, train loss: 0.0045, val loss: 0.0049
Epoch 40, train loss: 0.0014, val loss: 0.0189
Epoch 50, train loss: 0.0010, val loss: 0.0326
Epoch 60, train loss: 0.0050, val loss: 0.0224
Epoch 70, train loss: 0.0045, val loss: 0.0008
Epoch 0, train loss: 0.0633, val loss: 0.2674
Epoch 10, train loss: 0.0011, val loss: 0.0192
Epoch 20, train loss: 0.0023, val loss: 0.0070
Epoch 30, train loss: 0.0024, val loss: 0.0102
Epoch 40, train loss: 0.0012, val loss: 0.0028
Epoch 0, train loss: 0.0633, val loss: 0.2674
Epoch 10, train loss: 0.0011, val loss: 0.0192
Epoch 20, train loss: 0.0023, val loss: 0.0070
Epoch 30, train loss: 0.0024, val loss: 0.0102
Epoch 40, train loss: 0.0012, val loss: 0.0028
Epoch 50, train loss: 0.0007, val loss: 0.0012
Epoch 60, train loss: 0.0007, val loss: 0.0028
Epoch 70, train loss: 0.0007, val loss: 0.0045
Epoch 80, train loss: 0.0007, val loss: 0.0030
Inferred coeffs for Egypt: [3.7519872e+00 1.0000000e-06 1.9966986e+00 1.0000000e-06 1.2750828e+00]
Epoch 0, train loss: 0.0828, val loss: 0.0738
Epoch 10, train loss: 0.0102, val loss: 0.0255
Epoch 20, train loss: 0.0034, val loss: 0.0169
Epoch 30, train loss: 0.0014, val loss: 0.0141
Epoch 40, train loss: 0.0011, val loss: 0.0076
Epoch 0, train loss: 0.0828, val loss: 0.0738
Epoch 10, train loss: 0.0102, val loss: 0.0255
Epoch 20, train loss: 0.0034, val loss: 0.0169
Epoch 30, train loss: 0.0014, val loss: 0.0141
Epoch 40, train loss: 0.0011, val loss: 0.0076
Epoch 0, train loss: 0.0828, val loss: 0.3475
Epoch 10, train loss: 0.0197, val loss: 0.0500
Epoch 20, train loss: 0.0137, val loss: 0.0641
Epoch 30, train loss: 0.0054, val loss: 0.0148
Epoch 40, train loss: 0.0036, val loss: 0.0224
Epoch 0, train loss: 0.0828, val loss: 0.3475
Epoch 10, train loss: 0.0197, val loss: 0.0500
Epoch 20, train loss: 0.0137, val loss: 0.0641
Epoch 30, train loss: 0.0054, val loss: 0.0148
Epoch 40, train loss: 0.0036, val loss: 0.0224
Epoch 50, train loss: 0.0013, val loss: 0.0156
Epoch 60, train loss: 0.0013, val loss: 0.0093
Epoch 70, train loss: 0.0013, val loss: 0.0070
Inferred coeffs for Albania: [3.7482686e+00 1.0000000e-06 1.9997320e+00 1.0000000e-06 1.2780010e+00]
Epoch 0, train loss: 0.0825, val loss: 0.0671
Epoch 10, train loss: 0.0107, val loss: 0.0275
Epoch 20, train loss: 0.0018, val loss: 0.0253
Epoch 30, train loss: 0.0018, val loss: 0.0079
Epoch 40, train loss: 0.0017, val loss: 0.0141
Epoch 0, train loss: 0.0825, val loss: 0.0671
Epoch 10, train loss: 0.0107, val loss: 0.0275
Epoch 20, train loss: 0.0018, val loss: 0.0253
Epoch 30, train loss: 0.0018, val loss: 0.0079
Epoch 40, train loss: 0.0017, val loss: 0.0141
Epoch 0, train loss: 0.0825, val loss: 0.3392
Epoch 10, train loss: 0.0193, val loss: 0.0433
Epoch 20, train loss: 0.0138, val loss: 0.0683
Epoch 30, train loss: 0.0058, val loss: 0.0117
Epoch 40, train loss: 0.0036, val loss: 0.0273
Epoch 0, train loss: 0.0825, val loss: 0.3392
Epoch 10, train loss: 0.0193, val loss: 0.0433
Epoch 20, train loss: 0.0138, val loss: 0.0683
Epoch 30, train loss: 0.0058, val loss: 0.0117
Epoch 40, train loss: 0.0036, val loss: 0.0273
Epoch 50, train loss: 0.0018, val loss: 0.0155
Epoch 60, train loss: 0.0019, val loss: 0.0079
Inferred coeffs for Bulgaria: [3.6423924e+00 1.0000000e-06 1.9995607e+00 1.0000000e-06 1.2679777e+00]
Epoch 0, train loss: 0.0789, val loss: 0.0559
Epoch 10, train loss: 0.0174, val loss: 0.0105
Epoch 20, train loss: 0.0125, val loss: 0.0014
Epoch 30, train loss: 0.0028, val loss: 0.0345
Epoch 40, train loss: 0.0077, val loss: 0.0350
Epoch 0, train loss: 0.0789, val loss: 0.0559
Epoch 10, train loss: 0.0174, val loss: 0.0105
Epoch 20, train loss: 0.0125, val loss: 0.0014
Epoch 30, train loss: 0.0028, val loss: 0.0345
Epoch 40, train loss: 0.0077, val loss: 0.0350
Epoch 50, train loss: 0.0039, val loss: 0.0122
Epoch 0, train loss: 0.0789, val loss: 0.3277
Epoch 10, train loss: 0.0154, val loss: 0.0321
Epoch 20, train loss: 0.0115, val loss: 0.0519
Epoch 30, train loss: 0.0058, val loss: 0.0125
Epoch 40, train loss: 0.0016, val loss: 0.0091
Epoch 0, train loss: 0.0789, val loss: 0.3277
Epoch 10, train loss: 0.0154, val loss: 0.0321
Epoch 20, train loss: 0.0115, val loss: 0.0519
Epoch 30, train loss: 0.0058, val loss: 0.0125
Epoch 40, train loss: 0.0016, val loss: 0.0091
Epoch 50, train loss: 0.0015, val loss: 0.0121
Epoch 60, train loss: 0.0010, val loss: 0.0097
Inferred coeffs for Cyprus: [3.7515166e+00 1.0000000e-06 1.9989736e+00 1.0000000e-06 1.2774284e+00]
Epoch 0, train loss: 0.0718, val loss: 0.0398
Epoch 10, train loss: 0.0519, val loss: 0.2162
Epoch 20, train loss: 0.0109, val loss: 0.0905
Epoch 30, train loss: 0.0065, val loss: 0.0422
Epoch 40, train loss: 0.0032, val loss: 0.0120
Epoch 0, train loss: 0.0718, val loss: 0.0398
Epoch 10, train loss: 0.0519, val loss: 0.2162
Epoch 20, train loss: 0.0109, val loss: 0.0905
Epoch 30, train loss: 0.0065, val loss: 0.0422
Epoch 40, train loss: 0.0032, val loss: 0.0120
Epoch 50, train loss: 0.0022, val loss: 0.0037
Epoch 60, train loss: 0.0022, val loss: 0.0021
Epoch 70, train loss: 0.0021, val loss: 0.0041
Epoch 0, train loss: 0.0718, val loss: 0.3101
Epoch 10, train loss: 0.0078, val loss: 0.0158
Epoch 20, train loss: 0.0096, val loss: 0.0243
Epoch 30, train loss: 0.0056, val loss: 0.0250
Epoch 40, train loss: 0.0019, val loss: 0.0090
Epoch 0, train loss: 0.0718, val loss: 0.3101
Epoch 10, train loss: 0.0078, val loss: 0.0158
Epoch 20, train loss: 0.0096, val loss: 0.0243
Epoch 30, train loss: 0.0056, val loss: 0.0250
Epoch 40, train loss: 0.0019, val loss: 0.0090
Epoch 50, train loss: 0.0019, val loss: 0.0016
Epoch 60, train loss: 0.0020, val loss: 0.0042
Epoch 70, train loss: 0.0020, val loss: 0.0055
Epoch 80, train loss: 0.0019, val loss: 0.0037
Inferred coeffs for Croatia: [3.7494664e+00 1.0000000e-06 1.9983593e+00 1.0000000e-06 1.2766508e+00]
Epoch 0, train loss: 0.0458, val loss: 0.1018
Epoch 10, train loss: 0.0153, val loss: 0.0896
Epoch 20, train loss: 0.0266, val loss: 0.1251
Epoch 30, train loss: 0.0030, val loss: 0.0189
Epoch 40, train loss: 0.0011, val loss: 0.0052
Epoch 0, train loss: 0.0458, val loss: 0.1018
Epoch 10, train loss: 0.0153, val loss: 0.0896
Epoch 20, train loss: 0.0266, val loss: 0.1251
Epoch 30, train loss: 0.0030, val loss: 0.0189
Epoch 40, train loss: 0.0011, val loss: 0.0052
Epoch 50, train loss: 0.0047, val loss: 0.0027
Epoch 60, train loss: 0.0085, val loss: 0.0196
Epoch 0, train loss: 0.0458, val loss: 0.1694
Epoch 10, train loss: 0.0103, val loss: 0.0522
Epoch 20, train loss: 0.0054, val loss: 0.0130
Epoch 30, train loss: 0.0014, val loss: 0.0025
Epoch 40, train loss: 0.0012, val loss: 0.0029
Epoch 0, train loss: 0.0458, val loss: 0.1694
Epoch 10, train loss: 0.0103, val loss: 0.0522
Epoch 20, train loss: 0.0054, val loss: 0.0130
Epoch 30, train loss: 0.0014, val loss: 0.0025
Epoch 40, train loss: 0.0012, val loss: 0.0029
Epoch 50, train loss: 0.0015, val loss: 0.0049
Epoch 60, train loss: 0.0011, val loss: 0.0105
Inferred coeffs for Greece: [3.5274301e+00 1.0000000e-06 1.9936874e+00 1.0000000e-06 1.2620188e+00]
Epoch 0, train loss: 0.0814, val loss: 0.0797
Epoch 10, train loss: 0.0130, val loss: 0.0020
Epoch 20, train loss: 0.0017, val loss: 0.0112
Epoch 30, train loss: 0.0040, val loss: 0.0245
Epoch 40, train loss: 0.0033, val loss: 0.0062
Epoch 0, train loss: 0.0814, val loss: 0.0797
Epoch 10, train loss: 0.0130, val loss: 0.0020
Epoch 20, train loss: 0.0017, val loss: 0.0112
Epoch 30, train loss: 0.0040, val loss: 0.0245
Epoch 40, train loss: 0.0033, val loss: 0.0062
Epoch 50, train loss: 0.0044, val loss: 0.0064
Epoch 0, train loss: 0.0814, val loss: 0.3522
Epoch 10, train loss: 0.0180, val loss: 0.0559
Epoch 20, train loss: 0.0148, val loss: 0.0545
Epoch 30, train loss: 0.0057, val loss: 0.0305
Epoch 40, train loss: 0.0037, val loss: 0.0103
Epoch 0, train loss: 0.0814, val loss: 0.3522
Epoch 10, train loss: 0.0180, val loss: 0.0559
Epoch 20, train loss: 0.0148, val loss: 0.0545
Epoch 30, train loss: 0.0057, val loss: 0.0305
Epoch 40, train loss: 0.0037, val loss: 0.0103
Epoch 50, train loss: 0.0010, val loss: 0.0020
Epoch 60, train loss: 0.0013, val loss: 0.0018
Inferred coeffs for Hungary: [3.7497985e+00 1.0000000e-06 2.0000129e+00 1.0000000e-06 1.2783923e+00]
Epoch 0, train loss: 0.0187, val loss: 0.4784
Epoch 10, train loss: 0.0176, val loss: 0.1445
Epoch 20, train loss: 0.0128, val loss: 0.0842
Epoch 30, train loss: 0.0131, val loss: 0.1150
Epoch 0, train loss: 0.0187, val loss: 0.4784
Epoch 10, train loss: 0.0176, val loss: 0.1445
Epoch 20, train loss: 0.0128, val loss: 0.0842
Epoch 30, train loss: 0.0131, val loss: 0.1150
Epoch 0, train loss: 0.0187, val loss: 0.1007
Epoch 10, train loss: 0.0116, val loss: 0.1383
Epoch 20, train loss: 0.0116, val loss: 0.1575
Epoch 30, train loss: 0.0116, val loss: 0.1395
Epoch 0, train loss: 0.0187, val loss: 0.1007
Epoch 10, train loss: 0.0116, val loss: 0.1383
Epoch 20, train loss: 0.0116, val loss: 0.1575
Epoch 30, train loss: 0.0116, val loss: 0.1395
Inferred coeffs for Italy: [3.7604895e+00 1.0000000e-06 1.9888721e+00 1.0000000e-06 1.2663672e+00]
Epoch 0, train loss: 0.0934, val loss: 0.1028
Epoch 10, train loss: 0.0204, val loss: 0.0025
Epoch 20, train loss: 0.0121, val loss: 0.0104
Epoch 30, train loss: 0.0047, val loss: 0.0514
Epoch 40, train loss: 0.0040, val loss: 0.0035
Epoch 0, train loss: 0.0934, val loss: 0.1028
Epoch 10, train loss: 0.0204, val loss: 0.0025
Epoch 20, train loss: 0.0121, val loss: 0.0104
Epoch 30, train loss: 0.0047, val loss: 0.0514
Epoch 40, train loss: 0.0040, val loss: 0.0035
Epoch 50, train loss: 0.0040, val loss: 0.0286
Epoch 60, train loss: 0.0029, val loss: 0.0286
Epoch 0, train loss: 0.0934, val loss: 0.3774
Epoch 10, train loss: 0.0305, val loss: 0.0791
Epoch 20, train loss: 0.0134, val loss: 0.0833
Epoch 30, train loss: 0.0032, val loss: 0.0142
Epoch 40, train loss: 0.0033, val loss: 0.0325
Epoch 0, train loss: 0.0934, val loss: 0.3774
Epoch 10, train loss: 0.0305, val loss: 0.0791
Epoch 20, train loss: 0.0134, val loss: 0.0833
Epoch 30, train loss: 0.0032, val loss: 0.0142
Epoch 40, train loss: 0.0033, val loss: 0.0325
Epoch 50, train loss: 0.0032, val loss: 0.0201
Epoch 60, train loss: 0.0032, val loss: 0.0273
Inferred coeffs for Slovenia: [3.5679243e+00 1.0000000e-06 2.0012841e+00 1.0000000e-06 1.2641156e+00]
Epoch 0, train loss: 0.0837, val loss: 0.1626
Epoch 10, train loss: 0.0323, val loss: 0.1667
Epoch 20, train loss: 0.0164, val loss: 0.1350
Epoch 30, train loss: 0.0103, val loss: 0.1117
Epoch 0, train loss: 0.0837, val loss: 0.1626
Epoch 10, train loss: 0.0323, val loss: 0.1667
Epoch 20, train loss: 0.0164, val loss: 0.1350
Epoch 30, train loss: 0.0103, val loss: 0.1117
Epoch 0, train loss: 0.0837, val loss: 0.4344
Epoch 10, train loss: 0.0202, val loss: 0.1387
Epoch 20, train loss: 0.0157, val loss: 0.0138
Epoch 30, train loss: 0.0071, val loss: 0.0928
Epoch 40, train loss: 0.0074, val loss: 0.0913
Epoch 0, train loss: 0.0837, val loss: 0.4344
Epoch 10, train loss: 0.0202, val loss: 0.1387
Epoch 20, train loss: 0.0157, val loss: 0.0138
Epoch 30, train loss: 0.0071, val loss: 0.0928
Epoch 40, train loss: 0.0074, val loss: 0.0913
Inferred coeffs for Israel: [3.7188282e+00 1.0000000e-06 2.0041318e+00 1.0000000e-06 1.2793518e+00]
Epoch 0, train loss: 0.1133, val loss: 0.2252
Epoch 10, train loss: 0.0437, val loss: 0.2160
Epoch 20, train loss: 0.0231, val loss: 0.0160
Epoch 30, train loss: 0.0225, val loss: 0.0619
Epoch 40, train loss: 0.0223, val loss: 0.0214
Epoch 0, train loss: 0.1133, val loss: 0.2252
Epoch 10, train loss: 0.0437, val loss: 0.2160
Epoch 20, train loss: 0.0231, val loss: 0.0160
Epoch 30, train loss: 0.0225, val loss: 0.0619
Epoch 40, train loss: 0.0223, val loss: 0.0214
Epoch 50, train loss: 0.0218, val loss: 0.0221
Epoch 60, train loss: 0.0215, val loss: 0.0239
Epoch 0, train loss: 0.1133, val loss: 0.4941
Epoch 10, train loss: 0.0495, val loss: 0.2014
Epoch 20, train loss: 0.0220, val loss: 0.0173
Epoch 30, train loss: 0.0235, val loss: 0.0537
Epoch 40, train loss: 0.0214, val loss: 0.0168
Epoch 0, train loss: 0.1133, val loss: 0.4941
Epoch 10, train loss: 0.0495, val loss: 0.2014
Epoch 20, train loss: 0.0220, val loss: 0.0173
Epoch 30, train loss: 0.0235, val loss: 0.0537
Epoch 40, train loss: 0.0214, val loss: 0.0168
Epoch 50, train loss: 0.0208, val loss: 0.0214
Epoch 60, train loss: 0.0208, val loss: 0.0364
Epoch 70, train loss: 0.0206, val loss: 0.0259
Inferred coeffs for Austria: [3.6479402e+00 1.0000000e-06 2.0077596e+00 1.0000000e-06 1.2699983e+00]
Epoch 0, train loss: 0.1399, val loss: 0.3340
Epoch 10, train loss: 0.0357, val loss: 0.1438
Epoch 20, train loss: 0.0214, val loss: 0.0225
Epoch 30, train loss: 0.0233, val loss: 0.0246
Epoch 40, train loss: 0.0221, val loss: 0.0187
Epoch 0, train loss: 0.1399, val loss: 0.3340
Epoch 10, train loss: 0.0357, val loss: 0.1438
Epoch 20, train loss: 0.0214, val loss: 0.0225
Epoch 30, train loss: 0.0233, val loss: 0.0246
Epoch 40, train loss: 0.0221, val loss: 0.0187
Epoch 50, train loss: 0.0215, val loss: 0.0049
Epoch 60, train loss: 0.0213, val loss: 0.0247
Epoch 70, train loss: 0.0207, val loss: 0.0130
Epoch 0, train loss: 0.1399, val loss: 0.6025
Epoch 10, train loss: 0.0750, val loss: 0.3097
Epoch 20, train loss: 0.0337, val loss: 0.0916
Epoch 30, train loss: 0.0215, val loss: 0.0549
Epoch 40, train loss: 0.0207, val loss: 0.0243
Epoch 0, train loss: 0.1399, val loss: 0.6025
Epoch 10, train loss: 0.0750, val loss: 0.3097
Epoch 20, train loss: 0.0337, val loss: 0.0916
Epoch 30, train loss: 0.0215, val loss: 0.0549
Epoch 40, train loss: 0.0207, val loss: 0.0243
Epoch 50, train loss: 0.0217, val loss: 0.0075
Epoch 60, train loss: 0.0208, val loss: 0.0365
Epoch 70, train loss: 0.0205, val loss: 0.0243
Inferred coeffs for Portugal: [3.6905663e+00 1.0000000e-06 2.0126698e+00 1.0000000e-06 1.2807076e+00]
Epoch 0, train loss: 0.0862, val loss: 0.0965
Epoch 10, train loss: 0.0132, val loss: 0.0052
Epoch 20, train loss: 0.0013, val loss: 0.0053
Epoch 30, train loss: 0.0070, val loss: 0.0325
Epoch 40, train loss: 0.0032, val loss: 0.0010
Epoch 0, train loss: 0.0862, val loss: 0.0965
Epoch 10, train loss: 0.0132, val loss: 0.0052
Epoch 20, train loss: 0.0013, val loss: 0.0053
Epoch 30, train loss: 0.0070, val loss: 0.0325
Epoch 40, train loss: 0.0032, val loss: 0.0010
Epoch 0, train loss: 0.0862, val loss: 0.3711
Epoch 10, train loss: 0.0233, val loss: 0.0728
Epoch 20, train loss: 0.0147, val loss: 0.0623
Epoch 30, train loss: 0.0043, val loss: 0.0221
Epoch 40, train loss: 0.0030, val loss: 0.0174
Epoch 0, train loss: 0.0862, val loss: 0.3711
Epoch 10, train loss: 0.0233, val loss: 0.0728
Epoch 20, train loss: 0.0147, val loss: 0.0623
Epoch 30, train loss: 0.0043, val loss: 0.0221
Epoch 40, train loss: 0.0030, val loss: 0.0174
Epoch 50, train loss: 0.0021, val loss: 0.0013
Epoch 60, train loss: 0.0014, val loss: 0.0019
Inferred coeffs for Bosnia and Herzegovina: [3.6358242e+00 1.0000000e-06 2.0008664e+00 1.0000000e-06 1.2687348e+00]
Epoch 0, train loss: 0.0813, val loss: 0.1092
Epoch 10, train loss: 0.0286, val loss: 0.1083
Epoch 20, train loss: 0.0133, val loss: 0.0608
Epoch 30, train loss: 0.0058, val loss: 0.0160
Epoch 40, train loss: 0.0070, val loss: 0.0155
Epoch 0, train loss: 0.0813, val loss: 0.1092
Epoch 10, train loss: 0.0286, val loss: 0.1083
Epoch 20, train loss: 0.0133, val loss: 0.0608
Epoch 30, train loss: 0.0058, val loss: 0.0160
Epoch 40, train loss: 0.0070, val loss: 0.0155
Epoch 50, train loss: 0.0059, val loss: 0.0422
Epoch 0, train loss: 0.0813, val loss: 0.3797
Epoch 10, train loss: 0.0174, val loss: 0.0852
Epoch 20, train loss: 0.0151, val loss: 0.0220
Epoch 30, train loss: 0.0070, val loss: 0.0617
Epoch 40, train loss: 0.0056, val loss: 0.0291
Epoch 0, train loss: 0.0813, val loss: 0.3797
Epoch 10, train loss: 0.0174, val loss: 0.0852
Epoch 20, train loss: 0.0151, val loss: 0.0220
Epoch 30, train loss: 0.0070, val loss: 0.0617
Epoch 40, train loss: 0.0056, val loss: 0.0291
Inferred coeffs for Romania: [3.7593462e+00 1.0000000e-06 2.0012336e+00 1.0000000e-06 1.2804017e+00]
Epoch 0, train loss: 0.1732, val loss: 0.4618
Epoch 10, train loss: 0.0318, val loss: 0.0608
Epoch 20, train loss: 0.0309, val loss: 0.0857
Epoch 30, train loss: 0.0350, val loss: 0.0186
Epoch 40, train loss: 0.0332, val loss: 0.0193
Epoch 0, train loss: 0.1732, val loss: 0.4618
Epoch 10, train loss: 0.0318, val loss: 0.0608
Epoch 20, train loss: 0.0309, val loss: 0.0857
Epoch 30, train loss: 0.0350, val loss: 0.0186
Epoch 40, train loss: 0.0332, val loss: 0.0193
Epoch 50, train loss: 0.0316, val loss: 0.0271
Epoch 0, train loss: 0.1732, val loss: 0.7308
Epoch 10, train loss: 0.1075, val loss: 0.4371
Epoch 20, train loss: 0.0619, val loss: 0.2114
Epoch 30, train loss: 0.0382, val loss: 0.0399
Epoch 40, train loss: 0.0302, val loss: 0.0777
Epoch 0, train loss: 0.1732, val loss: 0.7308
Epoch 10, train loss: 0.1075, val loss: 0.4371
Epoch 20, train loss: 0.0619, val loss: 0.2114
Epoch 30, train loss: 0.0382, val loss: 0.0399
Epoch 40, train loss: 0.0302, val loss: 0.0777
Epoch 50, train loss: 0.0301, val loss: 0.0642
Epoch 60, train loss: 0.0301, val loss: 0.0320
Inferred coeffs for Switzerland: [3.6898386e+00 1.0000000e-06 2.0189526e+00 1.0000000e-06 1.2818310e+00]
Epoch 0, train loss: 0.5723, val loss: 2.1383
Epoch 10, train loss: 0.1071, val loss: 0.2037
Epoch 20, train loss: 0.1193, val loss: 0.0905
Epoch 30, train loss: 0.0999, val loss: 0.2288
Epoch 40, train loss: 0.0902, val loss: 0.1345
Epoch 0, train loss: 0.5723, val loss: 2.1383
Epoch 10, train loss: 0.1071, val loss: 0.2037
Epoch 20, train loss: 0.1193, val loss: 0.0905
Epoch 30, train loss: 0.0999, val loss: 0.2288
Epoch 40, train loss: 0.0902, val loss: 0.1345
Epoch 0, train loss: 0.5723, val loss: 2.4113
Epoch 10, train loss: 0.5050, val loss: 2.1125
Epoch 20, train loss: 0.4471, val loss: 1.8625
Epoch 30, train loss: 0.3951, val loss: 1.6350
Epoch 40, train loss: 0.3497, val loss: 1.4181
Epoch 0, train loss: 0.5723, val loss: 2.4113
Epoch 10, train loss: 0.5050, val loss: 2.1125
Epoch 20, train loss: 0.4471, val loss: 1.8625
Epoch 30, train loss: 0.3951, val loss: 1.6350
Epoch 40, train loss: 0.3497, val loss: 1.4181
Epoch 50, train loss: 0.3078, val loss: 1.1854
Epoch 60, train loss: 0.2665, val loss: 0.9461
Epoch 70, train loss: 0.2247, val loss: 0.7348
Epoch 80, train loss: 0.1822, val loss: 0.5741
Epoch 90, train loss: 0.1496, val loss: 0.4590
Inferred coeffs for Turkey: [3.8500450e+00 1.0000000e-06 2.1091313e+00 1.0000000e-06 1.3970287e+00]
Epoch 0, train loss: 0.0904, val loss: 0.1217
Epoch 10, train loss: 0.0175, val loss: 0.0210
Epoch 20, train loss: 0.0027, val loss: 0.0296
Epoch 30, train loss: 0.0043, val loss: 0.0240
Epoch 40, train loss: 0.0075, val loss: 0.0123
Epoch 0, train loss: 0.0904, val loss: 0.1217
Epoch 10, train loss: 0.0175, val loss: 0.0210
Epoch 20, train loss: 0.0027, val loss: 0.0296
Epoch 30, train loss: 0.0043, val loss: 0.0240
Epoch 40, train loss: 0.0075, val loss: 0.0123
Epoch 0, train loss: 0.0904, val loss: 0.3962
Epoch 10, train loss: 0.0273, val loss: 0.0980
Epoch 20, train loss: 0.0144, val loss: 0.0541
Epoch 30, train loss: 0.0035, val loss: 0.0231
Epoch 40, train loss: 0.0027, val loss: 0.0036
Epoch 0, train loss: 0.0904, val loss: 0.3962
Epoch 10, train loss: 0.0273, val loss: 0.0980
Epoch 20, train loss: 0.0144, val loss: 0.0541
Epoch 30, train loss: 0.0035, val loss: 0.0231
Epoch 40, train loss: 0.0027, val loss: 0.0036
Epoch 50, train loss: 0.0034, val loss: 0.0142
Epoch 60, train loss: 0.0030, val loss: 0.0046
Epoch 70, train loss: 0.0025, val loss: 0.0037
Epoch 80, train loss: 0.0025, val loss: 0.0034
Epoch 90, train loss: 0.0025, val loss: 0.0018
Inferred coeffs for Moldova: [3.7471085e+00 1.0000000e-06 2.0018167e+00 1.0000000e-06 1.2800761e+00]
Epoch 0, train loss: 0.0931, val loss: 0.1442
Epoch 10, train loss: 0.0231, val loss: 0.0593
Epoch 20, train loss: 0.0063, val loss: 0.0020
Epoch 30, train loss: 0.0070, val loss: 0.0132
Epoch 40, train loss: 0.0062, val loss: 0.0290
Epoch 0, train loss: 0.0931, val loss: 0.1442
Epoch 10, train loss: 0.0231, val loss: 0.0593
Epoch 20, train loss: 0.0063, val loss: 0.0020
Epoch 30, train loss: 0.0070, val loss: 0.0132
Epoch 40, train loss: 0.0062, val loss: 0.0290
Epoch 50, train loss: 0.0057, val loss: 0.0016
Epoch 60, train loss: 0.0059, val loss: 0.0354
Epoch 70, train loss: 0.0053, val loss: 0.0123
Epoch 80, train loss: 0.0053, val loss: 0.0141
Epoch 0, train loss: 0.0931, val loss: 0.4159
Epoch 10, train loss: 0.0295, val loss: 0.1203
Epoch 20, train loss: 0.0147, val loss: 0.0413
Epoch 30, train loss: 0.0053, val loss: 0.0298
Epoch 40, train loss: 0.0060, val loss: 0.0255
Epoch 0, train loss: 0.0931, val loss: 0.4159
Epoch 10, train loss: 0.0295, val loss: 0.1203
Epoch 20, train loss: 0.0147, val loss: 0.0413
Epoch 30, train loss: 0.0053, val loss: 0.0298
Epoch 40, train loss: 0.0060, val loss: 0.0255
Epoch 50, train loss: 0.0051, val loss: 0.0090
Inferred coeffs for Serbia: [3.7521794e+00 1.0000000e-06 2.0027740e+00 1.0000000e-06 1.2814918e+00]
Epoch 0, train loss: 0.0875, val loss: 0.0960
Epoch 10, train loss: 0.0143, val loss: 0.0071
Epoch 20, train loss: 0.0052, val loss: 0.0480
Epoch 30, train loss: 0.0111, val loss: 0.0309
Epoch 40, train loss: 0.0028, val loss: 0.0163
Epoch 0, train loss: 0.0875, val loss: 0.0960
Epoch 10, train loss: 0.0143, val loss: 0.0071
Epoch 20, train loss: 0.0052, val loss: 0.0480
Epoch 30, train loss: 0.0111, val loss: 0.0309
Epoch 40, train loss: 0.0028, val loss: 0.0163
Epoch 50, train loss: 0.0014, val loss: 0.0032
Epoch 60, train loss: 0.0028, val loss: 0.0175
Epoch 70, train loss: 0.0017, val loss: 0.0015
Epoch 80, train loss: 0.0028, val loss: 0.0174
Epoch 90, train loss: 0.0020, val loss: 0.0009
Epoch 0, train loss: 0.0875, val loss: 0.3714
Epoch 10, train loss: 0.0246, val loss: 0.0723
Epoch 20, train loss: 0.0142, val loss: 0.0667
Epoch 30, train loss: 0.0036, val loss: 0.0124
Epoch 40, train loss: 0.0033, val loss: 0.0233
Epoch 0, train loss: 0.0875, val loss: 0.3714
Epoch 10, train loss: 0.0246, val loss: 0.0723
Epoch 20, train loss: 0.0142, val loss: 0.0667
Epoch 30, train loss: 0.0036, val loss: 0.0124
Epoch 40, train loss: 0.0033, val loss: 0.0233
Inferred coeffs for Slovakia: [3.4749801e+00 1.0000000e-06 2.0009239e+00 1.0000000e-06 1.2598395e+00]
Epoch 0, train loss: 0.0867, val loss: 0.1117
Epoch 10, train loss: 0.0213, val loss: 0.0467
Epoch 20, train loss: 0.0040, val loss: 0.0281
Epoch 30, train loss: 0.0102, val loss: 0.0113
Epoch 40, train loss: 0.0051, val loss: 0.0289
Epoch 0, train loss: 0.0867, val loss: 0.1117
Epoch 10, train loss: 0.0213, val loss: 0.0467
Epoch 20, train loss: 0.0040, val loss: 0.0281
Epoch 30, train loss: 0.0102, val loss: 0.0113
Epoch 40, train loss: 0.0051, val loss: 0.0289
Epoch 50, train loss: 0.0048, val loss: 0.0045
Epoch 60, train loss: 0.0042, val loss: 0.0051
Epoch 70, train loss: 0.0043, val loss: 0.0033
Epoch 80, train loss: 0.0042, val loss: 0.0022
Epoch 90, train loss: 0.0041, val loss: 0.0029
Epoch 0, train loss: 0.0867, val loss: 0.3850
Epoch 10, train loss: 0.0235, val loss: 0.0879
Epoch 20, train loss: 0.0147, val loss: 0.0471
Epoch 30, train loss: 0.0057, val loss: 0.0318
Epoch 40, train loss: 0.0041, val loss: 0.0019
Epoch 0, train loss: 0.0867, val loss: 0.3850
Epoch 10, train loss: 0.0235, val loss: 0.0879
Epoch 20, train loss: 0.0147, val loss: 0.0471
Epoch 30, train loss: 0.0057, val loss: 0.0318
Epoch 40, train loss: 0.0041, val loss: 0.0019
Epoch 50, train loss: 0.0042, val loss: 0.0128
Epoch 60, train loss: 0.0040, val loss: 0.0021
Epoch 70, train loss: 0.0039, val loss: 0.0026
Epoch 80, train loss: 0.0039, val loss: 0.0037
Epoch 90, train loss: 0.0038, val loss: 0.0034
Inferred coeffs for Dominican Republic: [3.7487867e+00 1.0000000e-06 2.0013642e+00 1.0000000e-06 1.2797062e+00]
Epoch 0, train loss: 0.0811, val loss: 0.0770
Epoch 10, train loss: 0.0081, val loss: 0.0248
Epoch 20, train loss: 0.0003, val loss: 0.0397
Epoch 30, train loss: 0.0090, val loss: 0.0326
Epoch 40, train loss: 0.0050, val loss: 0.0177
Epoch 0, train loss: 0.0811, val loss: 0.0770
Epoch 10, train loss: 0.0081, val loss: 0.0248
Epoch 20, train loss: 0.0003, val loss: 0.0397
Epoch 30, train loss: 0.0090, val loss: 0.0326
Epoch 40, train loss: 0.0050, val loss: 0.0177
Epoch 50, train loss: 0.0064, val loss: 0.0212
Epoch 60, train loss: 0.0092, val loss: 0.0267
Epoch 70, train loss: 0.0040, val loss: 0.0087
Epoch 80, train loss: 0.0013, val loss: 0.0103
Epoch 90, train loss: 0.0064, val loss: 0.0174
Epoch 0, train loss: 0.0811, val loss: 0.3519
Epoch 10, train loss: 0.0182, val loss: 0.0532
Epoch 20, train loss: 0.0150, val loss: 0.0602
Epoch 30, train loss: 0.0053, val loss: 0.0258
Epoch 40, train loss: 0.0029, val loss: 0.0107
Epoch 0, train loss: 0.0811, val loss: 0.3519
Epoch 10, train loss: 0.0182, val loss: 0.0532
Epoch 20, train loss: 0.0150, val loss: 0.0602
Epoch 30, train loss: 0.0053, val loss: 0.0258
Epoch 40, train loss: 0.0029, val loss: 0.0107
Epoch 50, train loss: 0.0011, val loss: 0.0065
Epoch 60, train loss: 0.0010, val loss: 0.0019
Epoch 70, train loss: 0.0006, val loss: 0.0040
Epoch 80, train loss: 0.0002, val loss: 0.0021
Epoch 90, train loss: 0.0003, val loss: 0.0019
Inferred coeffs for Guatemala: [3.7456353e+00 1.0000000e-06 1.9998616e+00 1.0000000e-06 1.2779778e+00]
Epoch 0, train loss: 0.0840, val loss: 0.0832
Epoch 10, train loss: 0.0109, val loss: 0.0190
Epoch 20, train loss: 0.0021, val loss: 0.0009
Epoch 30, train loss: 0.0010, val loss: 0.0203
Epoch 40, train loss: 0.0101, val loss: 0.0236
Epoch 0, train loss: 0.0840, val loss: 0.0832
Epoch 10, train loss: 0.0109, val loss: 0.0190
Epoch 20, train loss: 0.0021, val loss: 0.0009
Epoch 30, train loss: 0.0010, val loss: 0.0203
Epoch 40, train loss: 0.0101, val loss: 0.0236
Epoch 50, train loss: 0.0064, val loss: 0.0007
Epoch 60, train loss: 0.0009, val loss: 0.0261
Epoch 70, train loss: 0.0008, val loss: 0.0097
Epoch 80, train loss: 0.0008, val loss: 0.0037
Epoch 0, train loss: 0.0840, val loss: 0.3580
Epoch 10, train loss: 0.0211, val loss: 0.0594
Epoch 20, train loss: 0.0125, val loss: 0.0557
Epoch 30, train loss: 0.0055, val loss: 0.0179
Epoch 40, train loss: 0.0031, val loss: 0.0159
Epoch 0, train loss: 0.0840, val loss: 0.3580
Epoch 10, train loss: 0.0211, val loss: 0.0594
Epoch 20, train loss: 0.0125, val loss: 0.0557
Epoch 30, train loss: 0.0055, val loss: 0.0179
Epoch 40, train loss: 0.0031, val loss: 0.0159
Epoch 50, train loss: 0.0014, val loss: 0.0137
Epoch 60, train loss: 0.0011, val loss: 0.0113
Inferred coeffs for Honduras: [3.5743310e+00 1.0000000e-06 2.0002170e+00 1.0000000e-06 1.2645391e+00]
Epoch 0, train loss: 0.0818, val loss: 0.0990
Epoch 10, train loss: 0.0210, val loss: 0.0571
Epoch 20, train loss: 0.0036, val loss: 0.0188
Epoch 30, train loss: 0.0069, val loss: 0.0232
Epoch 40, train loss: 0.0066, val loss: 0.0353
Epoch 0, train loss: 0.0818, val loss: 0.0990
Epoch 10, train loss: 0.0210, val loss: 0.0571
Epoch 20, train loss: 0.0036, val loss: 0.0188
Epoch 30, train loss: 0.0069, val loss: 0.0232
Epoch 40, train loss: 0.0066, val loss: 0.0353
Epoch 50, train loss: 0.0064, val loss: 0.0108
Epoch 60, train loss: 0.0041, val loss: 0.0192
Epoch 70, train loss: 0.0036, val loss: 0.0250
Epoch 0, train loss: 0.0818, val loss: 0.3707
Epoch 10, train loss: 0.0182, val loss: 0.0751
Epoch 20, train loss: 0.0128, val loss: 0.0266
Epoch 30, train loss: 0.0065, val loss: 0.0483
Epoch 40, train loss: 0.0042, val loss: 0.0040
Epoch 0, train loss: 0.0818, val loss: 0.3707
Epoch 10, train loss: 0.0182, val loss: 0.0751
Epoch 20, train loss: 0.0128, val loss: 0.0266
Epoch 30, train loss: 0.0065, val loss: 0.0483
Epoch 40, train loss: 0.0042, val loss: 0.0040
Epoch 50, train loss: 0.0039, val loss: 0.0268
Inferred coeffs for Mexico: [3.5590322e+00 1.0000000e-06 2.0014920e+00 1.0000000e-06 1.2637302e+00]
Epoch 0, train loss: 0.1075, val loss: 0.1615
Epoch 10, train loss: 0.0120, val loss: 0.0800
Epoch 20, train loss: 0.0064, val loss: 0.0178
Epoch 30, train loss: 0.0027, val loss: 0.0471
Epoch 40, train loss: 0.0078, val loss: 0.0184
Epoch 0, train loss: 0.1075, val loss: 0.1615
Epoch 10, train loss: 0.0120, val loss: 0.0800
Epoch 20, train loss: 0.0064, val loss: 0.0178
Epoch 30, train loss: 0.0027, val loss: 0.0471
Epoch 40, train loss: 0.0078, val loss: 0.0184
Epoch 50, train loss: 0.0062, val loss: 0.0447
Epoch 0, train loss: 0.1075, val loss: 0.4345
Epoch 10, train loss: 0.0442, val loss: 0.1376
Epoch 20, train loss: 0.0083, val loss: 0.0665
Epoch 30, train loss: 0.0084, val loss: 0.0457
Epoch 40, train loss: 0.0059, val loss: 0.0080
Epoch 0, train loss: 0.1075, val loss: 0.4345
Epoch 10, train loss: 0.0442, val loss: 0.1376
Epoch 20, train loss: 0.0083, val loss: 0.0665
Epoch 30, train loss: 0.0084, val loss: 0.0457
Epoch 40, train loss: 0.0059, val loss: 0.0080
Epoch 50, train loss: 0.0023, val loss: 0.0234
Epoch 60, train loss: 0.0028, val loss: 0.0325
Inferred coeffs for Panama: [3.6450069e+00 1.0000000e-06 2.0041444e+00 1.0000000e-06 1.2720407e+00]
Epoch 0, train loss: 0.0849, val loss: 0.0836
Epoch 10, train loss: 0.0119, val loss: 0.0174
Epoch 20, train loss: 0.0033, val loss: 0.0144
Epoch 30, train loss: 0.0035, val loss: 0.0061
Epoch 40, train loss: 0.0027, val loss: 0.0148
Epoch 0, train loss: 0.0849, val loss: 0.0836
Epoch 10, train loss: 0.0119, val loss: 0.0174
Epoch 20, train loss: 0.0033, val loss: 0.0144
Epoch 30, train loss: 0.0035, val loss: 0.0061
Epoch 40, train loss: 0.0027, val loss: 0.0148
Epoch 50, train loss: 0.0029, val loss: 0.0011
Epoch 60, train loss: 0.0030, val loss: 0.0198
Epoch 70, train loss: 0.0021, val loss: 0.0010
Epoch 80, train loss: 0.0022, val loss: 0.0137
Epoch 90, train loss: 0.0032, val loss: 0.0041
Epoch 0, train loss: 0.0849, val loss: 0.3583
Epoch 10, train loss: 0.0218, val loss: 0.0599
Epoch 20, train loss: 0.0137, val loss: 0.0640
Epoch 30, train loss: 0.0052, val loss: 0.0159
Epoch 40, train loss: 0.0034, val loss: 0.0215
Epoch 0, train loss: 0.0849, val loss: 0.3583
Epoch 10, train loss: 0.0218, val loss: 0.0599
Epoch 20, train loss: 0.0137, val loss: 0.0640
Epoch 30, train loss: 0.0052, val loss: 0.0159
Epoch 40, train loss: 0.0034, val loss: 0.0215
Epoch 50, train loss: 0.0012, val loss: 0.0150
Epoch 60, train loss: 0.0011, val loss: 0.0094
Epoch 70, train loss: 0.0012, val loss: 0.0061
Inferred coeffs for Costa Rica: [3.5535750e+00 1.0000000e-06 2.0003045e+00 1.0000000e-06 1.2639107e+00]
Epoch 0, train loss: 0.0819, val loss: 0.0763
Epoch 10, train loss: 0.0111, val loss: 0.0138
Epoch 20, train loss: 0.0034, val loss: 0.0244
Epoch 30, train loss: 0.0069, val loss: 0.0321
Epoch 40, train loss: 0.0047, val loss: 0.0300
Epoch 0, train loss: 0.0819, val loss: 0.0763
Epoch 10, train loss: 0.0111, val loss: 0.0138
Epoch 20, train loss: 0.0034, val loss: 0.0244
Epoch 30, train loss: 0.0069, val loss: 0.0321
Epoch 40, train loss: 0.0047, val loss: 0.0300
Epoch 50, train loss: 0.0046, val loss: 0.0017
Epoch 60, train loss: 0.0009, val loss: 0.0022
Epoch 70, train loss: 0.0029, val loss: 0.0138
Epoch 80, train loss: 0.0091, val loss: 0.0520
Epoch 90, train loss: 0.0078, val loss: 0.0074
Epoch 0, train loss: 0.0819, val loss: 0.3487
Epoch 10, train loss: 0.0186, val loss: 0.0525
Epoch 20, train loss: 0.0144, val loss: 0.0590
Epoch 30, train loss: 0.0059, val loss: 0.0255
Epoch 40, train loss: 0.0039, val loss: 0.0175
Epoch 0, train loss: 0.0819, val loss: 0.3487
Epoch 10, train loss: 0.0186, val loss: 0.0525
Epoch 20, train loss: 0.0144, val loss: 0.0590
Epoch 30, train loss: 0.0059, val loss: 0.0255
Epoch 40, train loss: 0.0039, val loss: 0.0175
Epoch 50, train loss: 0.0009, val loss: 0.0090
Epoch 60, train loss: 0.0013, val loss: 0.0065
Epoch 70, train loss: 0.0009, val loss: 0.0017
Epoch 80, train loss: 0.0008, val loss: 0.0047
Inferred coeffs for Cuba: [3.4269843e+00 1.0000000e-06 2.0003178e+00 1.0000000e-06 1.2582574e+00]
Epoch 0, train loss: 0.0855, val loss: 0.1063
Epoch 10, train loss: 0.0122, val loss: 0.0027
Epoch 20, train loss: 0.0024, val loss: 0.0379
Epoch 30, train loss: 0.0075, val loss: 0.0172
Epoch 40, train loss: 0.0036, val loss: 0.0038
Epoch 0, train loss: 0.0855, val loss: 0.1063
Epoch 10, train loss: 0.0122, val loss: 0.0027
Epoch 20, train loss: 0.0024, val loss: 0.0379
Epoch 30, train loss: 0.0075, val loss: 0.0172
Epoch 40, train loss: 0.0036, val loss: 0.0038
Epoch 50, train loss: 0.0029, val loss: 0.0304
Epoch 0, train loss: 0.0855, val loss: 0.3819
Epoch 10, train loss: 0.0227, val loss: 0.0825
Epoch 20, train loss: 0.0143, val loss: 0.0481
Epoch 30, train loss: 0.0046, val loss: 0.0349
Epoch 40, train loss: 0.0035, val loss: 0.0075
Epoch 0, train loss: 0.0855, val loss: 0.3819
Epoch 10, train loss: 0.0227, val loss: 0.0825
Epoch 20, train loss: 0.0143, val loss: 0.0481
Epoch 30, train loss: 0.0046, val loss: 0.0349
Epoch 40, train loss: 0.0035, val loss: 0.0075
Epoch 50, train loss: 0.0035, val loss: 0.0206
Epoch 60, train loss: 0.0024, val loss: 0.0039
Epoch 70, train loss: 0.0023, val loss: 0.0035
Epoch 80, train loss: 0.0024, val loss: 0.0067
Epoch 90, train loss: 0.0023, val loss: 0.0028
Inferred coeffs for New Zealand: [3.5889542e+00 1.0000000e-06 2.0013397e+00 1.0000000e-06 1.2659578e+00]
Epoch 0, train loss: 0.0824, val loss: 0.0735
Epoch 10, train loss: 0.0099, val loss: 0.0250
Epoch 20, train loss: 0.0014, val loss: 0.0223
Epoch 30, train loss: 0.0024, val loss: 0.0063
Epoch 40, train loss: 0.0021, val loss: 0.0253
Epoch 0, train loss: 0.0824, val loss: 0.0735
Epoch 10, train loss: 0.0099, val loss: 0.0250
Epoch 20, train loss: 0.0014, val loss: 0.0223
Epoch 30, train loss: 0.0024, val loss: 0.0063
Epoch 40, train loss: 0.0021, val loss: 0.0253
Epoch 0, train loss: 0.0824, val loss: 0.3471
Epoch 10, train loss: 0.0192, val loss: 0.0497
Epoch 20, train loss: 0.0145, val loss: 0.0655
Epoch 30, train loss: 0.0053, val loss: 0.0174
Epoch 40, train loss: 0.0036, val loss: 0.0209
Epoch 0, train loss: 0.0824, val loss: 0.3471
Epoch 10, train loss: 0.0192, val loss: 0.0497
Epoch 20, train loss: 0.0145, val loss: 0.0655
Epoch 30, train loss: 0.0053, val loss: 0.0174
Epoch 40, train loss: 0.0036, val loss: 0.0209
Epoch 50, train loss: 0.0013, val loss: 0.0130
Inferred coeffs for Bahrain: [3.6421089e+00 1.0000000e-06 1.9998522e+00 1.0000000e-06 1.2682538e+00]
Epoch 0, train loss: 0.0744, val loss: 0.0404
Epoch 10, train loss: 0.0256, val loss: 0.0490
Epoch 20, train loss: 0.0049, val loss: 0.0200
Epoch 30, train loss: 0.0032, val loss: 0.0040
Epoch 40, train loss: 0.0044, val loss: 0.0117
Epoch 0, train loss: 0.0744, val loss: 0.0404
Epoch 10, train loss: 0.0256, val loss: 0.0490
Epoch 20, train loss: 0.0049, val loss: 0.0200
Epoch 30, train loss: 0.0032, val loss: 0.0040
Epoch 40, train loss: 0.0044, val loss: 0.0117
Epoch 50, train loss: 0.0052, val loss: 0.0080
Epoch 0, train loss: 0.0744, val loss: 0.3090
Epoch 10, train loss: 0.0100, val loss: 0.0163
Epoch 20, train loss: 0.0106, val loss: 0.0331
Epoch 30, train loss: 0.0069, val loss: 0.0207
Epoch 40, train loss: 0.0029, val loss: 0.0021
Epoch 0, train loss: 0.0744, val loss: 0.3090
Epoch 10, train loss: 0.0100, val loss: 0.0163
Epoch 20, train loss: 0.0106, val loss: 0.0331
Epoch 30, train loss: 0.0069, val loss: 0.0207
Epoch 40, train loss: 0.0029, val loss: 0.0021
Epoch 50, train loss: 0.0035, val loss: 0.0095
Epoch 60, train loss: 0.0028, val loss: 0.0055
Epoch 70, train loss: 0.0028, val loss: 0.0028
Epoch 80, train loss: 0.0026, val loss: 0.0078
Inferred coeffs for Saudi Arabia: [3.7492478e+00 1.0000000e-06 1.9984183e+00 1.0000000e-06 1.2767723e+00]
Epoch 0, train loss: 0.3232, val loss: 1.0082
Epoch 10, train loss: 0.0771, val loss: 0.2039
Epoch 20, train loss: 0.0422, val loss: 0.1528
Epoch 30, train loss: 0.0351, val loss: 0.0371
Epoch 40, train loss: 0.0255, val loss: 0.0341
Epoch 0, train loss: 0.3232, val loss: 1.0082
Epoch 10, train loss: 0.0771, val loss: 0.2039
Epoch 20, train loss: 0.0422, val loss: 0.1528
Epoch 30, train loss: 0.0351, val loss: 0.0371
Epoch 40, train loss: 0.0255, val loss: 0.0341
Epoch 50, train loss: 0.0261, val loss: 0.0611
Epoch 60, train loss: 0.0256, val loss: 0.0526
Epoch 0, train loss: 0.3232, val loss: 1.2797
Epoch 10, train loss: 0.2597, val loss: 0.9843
Epoch 20, train loss: 0.2061, val loss: 0.7647
Epoch 30, train loss: 0.1615, val loss: 0.5870
Epoch 40, train loss: 0.1229, val loss: 0.4349
Epoch 0, train loss: 0.3232, val loss: 1.2797
Epoch 10, train loss: 0.2597, val loss: 0.9843
Epoch 20, train loss: 0.2061, val loss: 0.7647
Epoch 30, train loss: 0.1615, val loss: 0.5870
Epoch 40, train loss: 0.1229, val loss: 0.4349
Epoch 50, train loss: 0.0884, val loss: 0.2998
Epoch 60, train loss: 0.0586, val loss: 0.1780
Epoch 70, train loss: 0.0326, val loss: 0.0671
Epoch 80, train loss: 0.0268, val loss: 0.0181
Epoch 90, train loss: 0.0275, val loss: 0.0181
Inferred coeffs for Iran: [3.8283424e+00 1.0000000e-06 2.0542336e+00 1.0000000e-06 1.3434377e+00]
Epoch 0, train loss: 0.0757, val loss: 0.0469
Epoch 10, train loss: 0.0523, val loss: 0.2036
Epoch 20, train loss: 0.0075, val loss: 0.0613
Epoch 30, train loss: 0.0057, val loss: 0.0435
Epoch 40, train loss: 0.0015, val loss: 0.0109
Epoch 0, train loss: 0.0757, val loss: 0.0469
Epoch 10, train loss: 0.0523, val loss: 0.2036
Epoch 20, train loss: 0.0075, val loss: 0.0613
Epoch 30, train loss: 0.0057, val loss: 0.0435
Epoch 40, train loss: 0.0015, val loss: 0.0109
Epoch 50, train loss: 0.0009, val loss: 0.0024
Epoch 60, train loss: 0.0020, val loss: 0.0067
Epoch 70, train loss: 0.0011, val loss: 0.0004
Epoch 80, train loss: 0.0014, val loss: 0.0090
Epoch 90, train loss: 0.0028, val loss: 0.0162
Epoch 0, train loss: 0.0757, val loss: 0.3190
Epoch 10, train loss: 0.0122, val loss: 0.0230
Epoch 20, train loss: 0.0120, val loss: 0.0482
Epoch 30, train loss: 0.0064, val loss: 0.0201
Epoch 40, train loss: 0.0020, val loss: 0.0047
Epoch 0, train loss: 0.0757, val loss: 0.3190
Epoch 10, train loss: 0.0122, val loss: 0.0230
Epoch 20, train loss: 0.0120, val loss: 0.0482
Epoch 30, train loss: 0.0064, val loss: 0.0201
Epoch 40, train loss: 0.0020, val loss: 0.0047
Inferred coeffs for Kuwait: [3.4625301e+00 1.0000000e-06 1.9989002e+00 1.0000000e-06 1.2529831e+00]
Epoch 0, train loss: 0.0788, val loss: 0.0668
Epoch 10, train loss: 0.0170, val loss: 0.0187
Epoch 20, train loss: 0.0119, val loss: 0.0059
Epoch 30, train loss: 0.0084, val loss: 0.0023
Epoch 40, train loss: 0.0024, val loss: 0.0192
Epoch 0, train loss: 0.0788, val loss: 0.0668
Epoch 10, train loss: 0.0170, val loss: 0.0187
Epoch 20, train loss: 0.0119, val loss: 0.0059
Epoch 30, train loss: 0.0084, val loss: 0.0023
Epoch 40, train loss: 0.0024, val loss: 0.0192
Epoch 50, train loss: 0.0046, val loss: 0.0056
Epoch 60, train loss: 0.0033, val loss: 0.0137
Epoch 0, train loss: 0.0788, val loss: 0.3403
Epoch 10, train loss: 0.0156, val loss: 0.0430
Epoch 20, train loss: 0.0112, val loss: 0.0410
Epoch 30, train loss: 0.0065, val loss: 0.0263
Epoch 40, train loss: 0.0017, val loss: 0.0007
Epoch 0, train loss: 0.0788, val loss: 0.3403
Epoch 10, train loss: 0.0156, val loss: 0.0430
Epoch 20, train loss: 0.0112, val loss: 0.0410
Epoch 30, train loss: 0.0065, val loss: 0.0263
Epoch 40, train loss: 0.0017, val loss: 0.0007
Epoch 50, train loss: 0.0011, val loss: 0.0006
Epoch 60, train loss: 0.0006, val loss: 0.0044
Epoch 70, train loss: 0.0006, val loss: 0.0007
Epoch 80, train loss: 0.0006, val loss: 0.0007
Epoch 90, train loss: 0.0006, val loss: 0.0009
Inferred coeffs for Lebanon: [3.7479832e+00 1.0000000e-06 1.9994270e+00 1.0000000e-06 1.2776581e+00]
Epoch 0, train loss: 0.0866, val loss: 0.1155
Epoch 10, train loss: 0.0230, val loss: 0.0603
Epoch 20, train loss: 0.0053, val loss: 0.0168
Epoch 30, train loss: 0.0071, val loss: 0.0183
Epoch 40, train loss: 0.0043, val loss: 0.0095
Epoch 0, train loss: 0.0866, val loss: 0.1155
Epoch 10, train loss: 0.0230, val loss: 0.0603
Epoch 20, train loss: 0.0053, val loss: 0.0168
Epoch 30, train loss: 0.0071, val loss: 0.0183
Epoch 40, train loss: 0.0043, val loss: 0.0095
Epoch 50, train loss: 0.0075, val loss: 0.0394
Epoch 60, train loss: 0.0054, val loss: 0.0297
Epoch 70, train loss: 0.0045, val loss: 0.0086
Epoch 80, train loss: 0.0076, val loss: 0.0402
Epoch 0, train loss: 0.0866, val loss: 0.3873
Epoch 10, train loss: 0.0231, val loss: 0.0917
Epoch 20, train loss: 0.0135, val loss: 0.0355
Epoch 30, train loss: 0.0072, val loss: 0.0406
Epoch 40, train loss: 0.0036, val loss: 0.0013
Epoch 0, train loss: 0.0866, val loss: 0.3873
Epoch 10, train loss: 0.0231, val loss: 0.0917
Epoch 20, train loss: 0.0135, val loss: 0.0355
Epoch 30, train loss: 0.0072, val loss: 0.0406
Epoch 40, train loss: 0.0036, val loss: 0.0013
Inferred coeffs for Pakistan: [3.5601170e+00 1.0000000e-06 2.0023019e+00 1.0000000e-06 1.2645142e+00]
Epoch 0, train loss: 0.0801, val loss: 0.0735
Epoch 10, train loss: 0.0079, val loss: 0.0233
Epoch 20, train loss: 0.0063, val loss: 0.0324
Epoch 30, train loss: 0.0089, val loss: 0.0049
Epoch 40, train loss: 0.0010, val loss: 0.0008
Epoch 0, train loss: 0.0801, val loss: 0.0735
Epoch 10, train loss: 0.0079, val loss: 0.0233
Epoch 20, train loss: 0.0063, val loss: 0.0324
Epoch 30, train loss: 0.0089, val loss: 0.0049
Epoch 40, train loss: 0.0010, val loss: 0.0008
Epoch 0, train loss: 0.0801, val loss: 0.3467
Epoch 10, train loss: 0.0169, val loss: 0.0496
Epoch 20, train loss: 0.0126, val loss: 0.0463
Epoch 30, train loss: 0.0065, val loss: 0.0290
Epoch 40, train loss: 0.0040, val loss: 0.0109
Epoch 0, train loss: 0.0801, val loss: 0.3467
Epoch 10, train loss: 0.0169, val loss: 0.0496
Epoch 20, train loss: 0.0126, val loss: 0.0463
Epoch 30, train loss: 0.0065, val loss: 0.0290
Epoch 40, train loss: 0.0040, val loss: 0.0109
Inferred coeffs for Iraq: [3.6545241e+00 1.0000000e-06 1.9998523e+00 1.0000000e-06 1.2692131e+00]
Epoch 0, train loss: 0.0811, val loss: 0.0777
Epoch 10, train loss: 0.0116, val loss: 0.0043
Epoch 20, train loss: 0.0083, val loss: 0.0013
Epoch 30, train loss: 0.0082, val loss: 0.0225
Epoch 40, train loss: 0.0071, val loss: 0.0141
Epoch 0, train loss: 0.0811, val loss: 0.0777
Epoch 10, train loss: 0.0116, val loss: 0.0043
Epoch 20, train loss: 0.0083, val loss: 0.0013
Epoch 30, train loss: 0.0082, val loss: 0.0225
Epoch 40, train loss: 0.0071, val loss: 0.0141
Epoch 50, train loss: 0.0055, val loss: 0.0375
Epoch 0, train loss: 0.0811, val loss: 0.3488
Epoch 10, train loss: 0.0173, val loss: 0.0538
Epoch 20, train loss: 0.0136, val loss: 0.0477
Epoch 30, train loss: 0.0064, val loss: 0.0324
Epoch 40, train loss: 0.0045, val loss: 0.0030
Epoch 0, train loss: 0.0811, val loss: 0.3488
Epoch 10, train loss: 0.0173, val loss: 0.0538
Epoch 20, train loss: 0.0136, val loss: 0.0477
Epoch 30, train loss: 0.0064, val loss: 0.0324
Epoch 40, train loss: 0.0045, val loss: 0.0030
Epoch 50, train loss: 0.0029, val loss: 0.0066
Epoch 60, train loss: 0.0028, val loss: 0.0111
Epoch 70, train loss: 0.0029, val loss: 0.0133
Inferred coeffs for Qatar: [3.7488289e+00 1.0000000e-06 1.9999090e+00 1.0000000e-06 1.2781885e+00]
Epoch 0, train loss: 0.0625, val loss: 0.0506
Epoch 10, train loss: 0.0170, val loss: 0.0353
Epoch 20, train loss: 0.0067, val loss: 0.0620
Epoch 30, train loss: 0.0032, val loss: 0.0735
Epoch 0, train loss: 0.0625, val loss: 0.0506
Epoch 10, train loss: 0.0170, val loss: 0.0353
Epoch 20, train loss: 0.0067, val loss: 0.0620
Epoch 30, train loss: 0.0032, val loss: 0.0735
Epoch 0, train loss: 0.0625, val loss: 0.3196
Epoch 10, train loss: 0.0040, val loss: 0.0301
Epoch 20, train loss: 0.0071, val loss: 0.0437
Epoch 30, train loss: 0.0032, val loss: 0.0662
Epoch 40, train loss: 0.0036, val loss: 0.0617
Epoch 0, train loss: 0.0625, val loss: 0.3196
Epoch 10, train loss: 0.0040, val loss: 0.0301
Epoch 20, train loss: 0.0071, val loss: 0.0437
Epoch 30, train loss: 0.0032, val loss: 0.0662
Epoch 40, train loss: 0.0036, val loss: 0.0617
Inferred coeffs for South Korea: [3.7595856e+00 1.0000000e-06 1.9987943e+00 1.0000000e-06 1.2777776e+00]
Epoch 0, train loss: 0.0861, val loss: 0.0932
Epoch 10, train loss: 0.0194, val loss: 0.0229
Epoch 20, train loss: 0.0031, val loss: 0.0231
Epoch 30, train loss: 0.0036, val loss: 0.0127
Epoch 40, train loss: 0.0041, val loss: 0.0122
Epoch 0, train loss: 0.0861, val loss: 0.0932
Epoch 10, train loss: 0.0194, val loss: 0.0229
Epoch 20, train loss: 0.0031, val loss: 0.0231
Epoch 30, train loss: 0.0036, val loss: 0.0127
Epoch 40, train loss: 0.0041, val loss: 0.0122
Epoch 50, train loss: 0.0047, val loss: 0.0113
Epoch 0, train loss: 0.0861, val loss: 0.3654
Epoch 10, train loss: 0.0226, val loss: 0.0693
Epoch 20, train loss: 0.0149, val loss: 0.0618
Epoch 30, train loss: 0.0054, val loss: 0.0212
Epoch 40, train loss: 0.0029, val loss: 0.0187
Epoch 0, train loss: 0.0861, val loss: 0.3654
Epoch 10, train loss: 0.0226, val loss: 0.0693
Epoch 20, train loss: 0.0149, val loss: 0.0618
Epoch 30, train loss: 0.0054, val loss: 0.0212
Epoch 40, train loss: 0.0029, val loss: 0.0187
Inferred coeffs for Argentina: [3.6047132e+00 1.0000000e-06 2.0009913e+00 1.0000000e-06 1.2662879e+00]
Epoch 0, train loss: 0.1036, val loss: 0.2919
Epoch 10, train loss: 0.0293, val loss: 0.2144
Epoch 20, train loss: 0.0191, val loss: 0.1772
Epoch 30, train loss: 0.0158, val loss: 0.1391
Epoch 0, train loss: 0.1036, val loss: 0.2919
Epoch 10, train loss: 0.0293, val loss: 0.2144
Epoch 20, train loss: 0.0191, val loss: 0.1772
Epoch 30, train loss: 0.0158, val loss: 0.1391
Epoch 0, train loss: 0.1036, val loss: 0.5625
Epoch 10, train loss: 0.0397, val loss: 0.2679
Epoch 20, train loss: 0.0145, val loss: 0.0766
Epoch 30, train loss: 0.0167, val loss: 0.0776
Epoch 40, train loss: 0.0155, val loss: 0.1284
Epoch 0, train loss: 0.1036, val loss: 0.5625
Epoch 10, train loss: 0.0397, val loss: 0.2679
Epoch 20, train loss: 0.0145, val loss: 0.0766
Epoch 30, train loss: 0.0167, val loss: 0.0776
Epoch 40, train loss: 0.0155, val loss: 0.1284
Epoch 50, train loss: 0.0144, val loss: 0.0981
Inferred coeffs for Brazil: [3.7293954e+00 1.0000000e-06 2.0108714e+00 1.0000000e-06 1.2872144e+00]
Epoch 0, train loss: 0.1148, val loss: 0.2368
Epoch 10, train loss: 0.0311, val loss: 0.1852
Epoch 20, train loss: 0.0169, val loss: 0.0126
Epoch 30, train loss: 0.0135, val loss: 0.0040
Epoch 40, train loss: 0.0086, val loss: 0.0261
Epoch 0, train loss: 0.1148, val loss: 0.2368
Epoch 10, train loss: 0.0311, val loss: 0.1852
Epoch 20, train loss: 0.0169, val loss: 0.0126
Epoch 30, train loss: 0.0135, val loss: 0.0040
Epoch 40, train loss: 0.0086, val loss: 0.0261
Epoch 50, train loss: 0.0107, val loss: 0.0283
Epoch 60, train loss: 0.0088, val loss: 0.0068
Epoch 70, train loss: 0.0092, val loss: 0.0152
Epoch 80, train loss: 0.0084, val loss: 0.0062
Epoch 90, train loss: 0.0084, val loss: 0.0046
Epoch 0, train loss: 0.1148, val loss: 0.5105
Epoch 10, train loss: 0.0516, val loss: 0.2130
Epoch 20, train loss: 0.0091, val loss: 0.0030
Epoch 30, train loss: 0.0135, val loss: 0.0225
Epoch 40, train loss: 0.0104, val loss: 0.0322
Epoch 0, train loss: 0.1148, val loss: 0.5105
Epoch 10, train loss: 0.0516, val loss: 0.2130
Epoch 20, train loss: 0.0091, val loss: 0.0030
Epoch 30, train loss: 0.0135, val loss: 0.0225
Epoch 40, train loss: 0.0104, val loss: 0.0322
Epoch 50, train loss: 0.0078, val loss: 0.0061
Epoch 60, train loss: 0.0081, val loss: 0.0085
Epoch 70, train loss: 0.0079, val loss: 0.0055
Epoch 80, train loss: 0.0078, val loss: 0.0023
Epoch 90, train loss: 0.0077, val loss: 0.0017
Inferred coeffs for Chile: [3.6267202e+00 1.0000000e-06 2.0082443e+00 1.0000000e-06 1.2701261e+00]
Epoch 0, train loss: 0.1038, val loss: 0.1808
Epoch 10, train loss: 0.0076, val loss: 0.0390
Epoch 20, train loss: 0.0106, val loss: 0.0041
Epoch 30, train loss: 0.0075, val loss: 0.0097
Epoch 40, train loss: 0.0074, val loss: 0.0058
Epoch 0, train loss: 0.1038, val loss: 0.1808
Epoch 10, train loss: 0.0076, val loss: 0.0390
Epoch 20, train loss: 0.0106, val loss: 0.0041
Epoch 30, train loss: 0.0075, val loss: 0.0097
Epoch 40, train loss: 0.0074, val loss: 0.0058
Epoch 50, train loss: 0.0073, val loss: 0.0037
Epoch 60, train loss: 0.0071, val loss: 0.0080
Epoch 70, train loss: 0.0066, val loss: 0.0133
Epoch 80, train loss: 0.0071, val loss: 0.0058
Epoch 0, train loss: 0.1038, val loss: 0.4536
Epoch 10, train loss: 0.0408, val loss: 0.1571
Epoch 20, train loss: 0.0097, val loss: 0.0389
Epoch 30, train loss: 0.0079, val loss: 0.0102
Epoch 40, train loss: 0.0084, val loss: 0.0111
Epoch 0, train loss: 0.1038, val loss: 0.4536
Epoch 10, train loss: 0.0408, val loss: 0.1571
Epoch 20, train loss: 0.0097, val loss: 0.0389
Epoch 30, train loss: 0.0079, val loss: 0.0102
Epoch 40, train loss: 0.0084, val loss: 0.0111
Epoch 50, train loss: 0.0068, val loss: 0.0096
Epoch 60, train loss: 0.0064, val loss: 0.0062
Epoch 70, train loss: 0.0064, val loss: 0.0036
Epoch 80, train loss: 0.0064, val loss: 0.0070
Inferred coeffs for Ecuador: [3.7481542e+00 1.0000000e-06 2.0046022e+00 1.0000000e-06 1.2830817e+00]
Epoch 0, train loss: 0.0931, val loss: 0.1286
Epoch 10, train loss: 0.0220, val loss: 0.0371
Epoch 20, train loss: 0.0148, val loss: 0.0256
Epoch 30, train loss: 0.0032, val loss: 0.0149
Epoch 40, train loss: 0.0035, val loss: 0.0069
Epoch 0, train loss: 0.0931, val loss: 0.1286
Epoch 10, train loss: 0.0220, val loss: 0.0371
Epoch 20, train loss: 0.0148, val loss: 0.0256
Epoch 30, train loss: 0.0032, val loss: 0.0149
Epoch 40, train loss: 0.0035, val loss: 0.0069
Epoch 50, train loss: 0.0026, val loss: 0.0047
Epoch 60, train loss: 0.0026, val loss: 0.0068
Epoch 70, train loss: 0.0028, val loss: 0.0064
Epoch 80, train loss: 0.0032, val loss: 0.0051
Epoch 0, train loss: 0.0931, val loss: 0.4014
Epoch 10, train loss: 0.0298, val loss: 0.1048
Epoch 20, train loss: 0.0134, val loss: 0.0528
Epoch 30, train loss: 0.0037, val loss: 0.0181
Epoch 40, train loss: 0.0023, val loss: 0.0108
Epoch 0, train loss: 0.0931, val loss: 0.4014
Epoch 10, train loss: 0.0298, val loss: 0.1048
Epoch 20, train loss: 0.0134, val loss: 0.0528
Epoch 30, train loss: 0.0037, val loss: 0.0181
Epoch 40, train loss: 0.0023, val loss: 0.0108
Epoch 50, train loss: 0.0034, val loss: 0.0081
Epoch 60, train loss: 0.0024, val loss: 0.0043
Epoch 70, train loss: 0.0023, val loss: 0.0045
Epoch 80, train loss: 0.0022, val loss: 0.0047
Epoch 90, train loss: 0.0022, val loss: 0.0047
Inferred coeffs for Colombia: [3.5530508e+00 1.0000000e-06 2.0027621e+00 1.0000000e-06 1.2645257e+00]
Epoch 0, train loss: 0.0823, val loss: 0.0817
Epoch 10, train loss: 0.0093, val loss: 0.0198
Epoch 20, train loss: 0.0018, val loss: 0.0345
Epoch 30, train loss: 0.0087, val loss: 0.0315
Epoch 40, train loss: 0.0050, val loss: 0.0173
Epoch 0, train loss: 0.0823, val loss: 0.0817
Epoch 10, train loss: 0.0093, val loss: 0.0198
Epoch 20, train loss: 0.0018, val loss: 0.0345
Epoch 30, train loss: 0.0087, val loss: 0.0315
Epoch 40, train loss: 0.0050, val loss: 0.0173
Epoch 50, train loss: 0.0077, val loss: 0.0271
Epoch 60, train loss: 0.0024, val loss: 0.0259
Epoch 70, train loss: 0.0109, val loss: 0.0381
Epoch 0, train loss: 0.0823, val loss: 0.3563
Epoch 10, train loss: 0.0193, val loss: 0.0580
Epoch 20, train loss: 0.0139, val loss: 0.0553
Epoch 30, train loss: 0.0065, val loss: 0.0306
Epoch 40, train loss: 0.0044, val loss: 0.0201
Epoch 0, train loss: 0.0823, val loss: 0.3563
Epoch 10, train loss: 0.0193, val loss: 0.0580
Epoch 20, train loss: 0.0139, val loss: 0.0553
Epoch 30, train loss: 0.0065, val loss: 0.0306
Epoch 40, train loss: 0.0044, val loss: 0.0201
Epoch 50, train loss: 0.0028, val loss: 0.0070
Epoch 60, train loss: 0.0017, val loss: 0.0082
Epoch 70, train loss: 0.0005, val loss: 0.0013
Epoch 80, train loss: 0.0004, val loss: 0.0020
Epoch 90, train loss: 0.0003, val loss: 0.0011
Inferred coeffs for Bolivia: [3.7448184e+00 1.0000000e-06 2.0000639e+00 1.0000000e-06 1.2781408e+00]
Epoch 0, train loss: 0.1054, val loss: 0.2971
Epoch 10, train loss: 0.0337, val loss: 0.2278
Epoch 20, train loss: 0.0151, val loss: 0.1901
Epoch 30, train loss: 0.0125, val loss: 0.1636
Epoch 0, train loss: 0.1054, val loss: 0.2971
Epoch 10, train loss: 0.0337, val loss: 0.2278
Epoch 20, train loss: 0.0151, val loss: 0.1901
Epoch 30, train loss: 0.0125, val loss: 0.1636
Epoch 0, train loss: 0.1054, val loss: 0.5701
Epoch 10, train loss: 0.0421, val loss: 0.2732
Epoch 20, train loss: 0.0133, val loss: 0.0802
Epoch 30, train loss: 0.0160, val loss: 0.0746
Epoch 40, train loss: 0.0099, val loss: 0.1506
Epoch 0, train loss: 0.1054, val loss: 0.5701
Epoch 10, train loss: 0.0421, val loss: 0.2732
Epoch 20, train loss: 0.0133, val loss: 0.0802
Epoch 30, train loss: 0.0160, val loss: 0.0746
Epoch 40, train loss: 0.0099, val loss: 0.1506
Epoch 50, train loss: 0.0098, val loss: 0.1349
Inferred coeffs for Peru: [3.7209139e+00 1.0000000e-06 2.0094073e+00 1.0000000e-06 1.2847185e+00]
Epoch 0, train loss: 0.0868, val loss: 0.0799
Epoch 10, train loss: 0.0140, val loss: 0.0207
Epoch 20, train loss: 0.0088, val loss: 0.0568
Epoch 30, train loss: 0.0055, val loss: 0.0019
Epoch 40, train loss: 0.0032, val loss: 0.0082
Epoch 0, train loss: 0.0868, val loss: 0.0799
Epoch 10, train loss: 0.0140, val loss: 0.0207
Epoch 20, train loss: 0.0088, val loss: 0.0568
Epoch 30, train loss: 0.0055, val loss: 0.0019
Epoch 40, train loss: 0.0032, val loss: 0.0082
Epoch 50, train loss: 0.0033, val loss: 0.0153
Epoch 60, train loss: 0.0033, val loss: 0.0176
Epoch 0, train loss: 0.0868, val loss: 0.3537
Epoch 10, train loss: 0.0239, val loss: 0.0562
Epoch 20, train loss: 0.0144, val loss: 0.0803
Epoch 30, train loss: 0.0038, val loss: 0.0018
Epoch 40, train loss: 0.0042, val loss: 0.0318
Epoch 0, train loss: 0.0868, val loss: 0.3537
Epoch 10, train loss: 0.0239, val loss: 0.0562
Epoch 20, train loss: 0.0144, val loss: 0.0803
Epoch 30, train loss: 0.0038, val loss: 0.0018
Epoch 40, train loss: 0.0042, val loss: 0.0318
Epoch 50, train loss: 0.0036, val loss: 0.0053
Epoch 60, train loss: 0.0036, val loss: 0.0224
Inferred coeffs for Uruguay: [3.5810544e+00 1.0000000e-06 2.0002117e+00 1.0000000e-06 1.2642177e+00]
Epoch 0, train loss: 0.0887, val loss: 0.1026
Epoch 10, train loss: 0.0164, val loss: 0.0055
Epoch 20, train loss: 0.0076, val loss: 0.0127
Epoch 30, train loss: 0.0061, val loss: 0.0321
Epoch 40, train loss: 0.0070, val loss: 0.0168
Epoch 0, train loss: 0.0887, val loss: 0.1026
Epoch 10, train loss: 0.0164, val loss: 0.0055
Epoch 20, train loss: 0.0076, val loss: 0.0127
Epoch 30, train loss: 0.0061, val loss: 0.0321
Epoch 40, train loss: 0.0070, val loss: 0.0168
Epoch 50, train loss: 0.0018, val loss: 0.0272
Epoch 60, train loss: 0.0018, val loss: 0.0144
Epoch 70, train loss: 0.0064, val loss: 0.0153
Epoch 80, train loss: 0.0010, val loss: 0.0008
Epoch 90, train loss: 0.0022, val loss: 0.0007
Epoch 0, train loss: 0.0887, val loss: 0.3752
Epoch 10, train loss: 0.0255, val loss: 0.0788
Epoch 20, train loss: 0.0132, val loss: 0.0587
Epoch 30, train loss: 0.0047, val loss: 0.0195
Epoch 40, train loss: 0.0032, val loss: 0.0195
Epoch 0, train loss: 0.0887, val loss: 0.3752
Epoch 10, train loss: 0.0255, val loss: 0.0788
Epoch 20, train loss: 0.0132, val loss: 0.0587
Epoch 30, train loss: 0.0047, val loss: 0.0195
Epoch 40, train loss: 0.0032, val loss: 0.0195
Epoch 50, train loss: 0.0011, val loss: 0.0092
Epoch 60, train loss: 0.0011, val loss: 0.0076
Epoch 70, train loss: 0.0011, val loss: 0.0049
Inferred coeffs for Kazakhstan: [3.4900723e+00 1.0000000e-06 2.0016279e+00 1.0000000e-06 1.2604190e+00]
Epoch 0, train loss: 0.0859, val loss: 0.0879
Epoch 10, train loss: 0.0129, val loss: 0.0139
Epoch 20, train loss: 0.0086, val loss: 0.0250
Epoch 30, train loss: 0.0039, val loss: 0.0269
Epoch 40, train loss: 0.0009, val loss: 0.0030
Epoch 0, train loss: 0.0859, val loss: 0.0879
Epoch 10, train loss: 0.0129, val loss: 0.0139
Epoch 20, train loss: 0.0086, val loss: 0.0250
Epoch 30, train loss: 0.0039, val loss: 0.0269
Epoch 40, train loss: 0.0009, val loss: 0.0030
Epoch 50, train loss: 0.0048, val loss: 0.0127
Epoch 0, train loss: 0.0859, val loss: 0.3623
Epoch 10, train loss: 0.0230, val loss: 0.0642
Epoch 20, train loss: 0.0146, val loss: 0.0689
Epoch 30, train loss: 0.0042, val loss: 0.0133
Epoch 40, train loss: 0.0034, val loss: 0.0239
Epoch 0, train loss: 0.0859, val loss: 0.3623
Epoch 10, train loss: 0.0230, val loss: 0.0642
Epoch 20, train loss: 0.0146, val loss: 0.0689
Epoch 30, train loss: 0.0042, val loss: 0.0133
Epoch 40, train loss: 0.0034, val loss: 0.0239
Epoch 50, train loss: 0.0009, val loss: 0.0131
Epoch 60, train loss: 0.0010, val loss: 0.0102
Epoch 70, train loss: 0.0010, val loss: 0.0088
Inferred coeffs for Kyrgyzstan: [3.7475123e+00 1.0000000e-06 2.0003169e+00 1.0000000e-06 1.2785569e+00]
Epoch 0, train loss: 0.0801, val loss: 0.0802
Epoch 10, train loss: 0.0146, val loss: 0.0141
Epoch 20, train loss: 0.0141, val loss: 0.0177
Epoch 30, train loss: 0.0103, val loss: 0.0192
Epoch 40, train loss: 0.0114, val loss: 0.0176
Epoch 0, train loss: 0.0801, val loss: 0.0802
Epoch 10, train loss: 0.0146, val loss: 0.0141
Epoch 20, train loss: 0.0141, val loss: 0.0177
Epoch 30, train loss: 0.0103, val loss: 0.0192
Epoch 40, train loss: 0.0114, val loss: 0.0176
Epoch 50, train loss: 0.0056, val loss: 0.0018
Epoch 60, train loss: 0.0026, val loss: 0.0105
Epoch 70, train loss: 0.0014, val loss: 0.0022
Epoch 80, train loss: 0.0013, val loss: 0.0131
Epoch 90, train loss: 0.0022, val loss: 0.0138
Epoch 0, train loss: 0.0801, val loss: 0.3535
Epoch 10, train loss: 0.0171, val loss: 0.0564
Epoch 20, train loss: 0.0138, val loss: 0.0460
Epoch 30, train loss: 0.0066, val loss: 0.0371
Epoch 40, train loss: 0.0039, val loss: 0.0063
Epoch 0, train loss: 0.0801, val loss: 0.3535
Epoch 10, train loss: 0.0171, val loss: 0.0564
Epoch 20, train loss: 0.0138, val loss: 0.0460
Epoch 30, train loss: 0.0066, val loss: 0.0371
Epoch 40, train loss: 0.0039, val loss: 0.0063
Epoch 50, train loss: 0.0011, val loss: 0.0026
Epoch 60, train loss: 0.0014, val loss: 0.0088
Inferred coeffs for Azerbaijan: [3.7502787e+00 1.0000000e-06 2.0000064e+00 1.0000000e-06 1.2783895e+00]
Epoch 0, train loss: 0.0766, val loss: 0.0735
Epoch 10, train loss: 0.0287, val loss: 0.0963
Epoch 20, train loss: 0.0198, val loss: 0.0816
Epoch 30, train loss: 0.0074, val loss: 0.0173
Epoch 40, train loss: 0.0056, val loss: 0.0033
Epoch 0, train loss: 0.0766, val loss: 0.0735
Epoch 10, train loss: 0.0287, val loss: 0.0963
Epoch 20, train loss: 0.0198, val loss: 0.0816
Epoch 30, train loss: 0.0074, val loss: 0.0173
Epoch 40, train loss: 0.0056, val loss: 0.0033
Epoch 50, train loss: 0.0045, val loss: 0.0271
Epoch 60, train loss: 0.0052, val loss: 0.0153
Epoch 0, train loss: 0.0766, val loss: 0.3441
Epoch 10, train loss: 0.0127, val loss: 0.0495
Epoch 20, train loss: 0.0127, val loss: 0.0264
Epoch 30, train loss: 0.0073, val loss: 0.0498
Epoch 40, train loss: 0.0049, val loss: 0.0030
Epoch 0, train loss: 0.0766, val loss: 0.3441
Epoch 10, train loss: 0.0127, val loss: 0.0495
Epoch 20, train loss: 0.0127, val loss: 0.0264
Epoch 30, train loss: 0.0073, val loss: 0.0498
Epoch 40, train loss: 0.0049, val loss: 0.0030
Epoch 50, train loss: 0.0042, val loss: 0.0235
Epoch 60, train loss: 0.0036, val loss: 0.0122
Epoch 70, train loss: 0.0036, val loss: 0.0122
Inferred coeffs for Ukraine: [3.7503335e+00 1.0000000e-06 1.9997790e+00 1.0000000e-06 1.2781595e+00]
Epoch 0, train loss: 0.0800, val loss: 0.0825
Epoch 10, train loss: 0.0074, val loss: 0.0169
Epoch 20, train loss: 0.0048, val loss: 0.0183
Epoch 30, train loss: 0.0034, val loss: 0.0031
Epoch 40, train loss: 0.0026, val loss: 0.0207
Epoch 0, train loss: 0.0800, val loss: 0.0825
Epoch 10, train loss: 0.0074, val loss: 0.0169
Epoch 20, train loss: 0.0048, val loss: 0.0183
Epoch 30, train loss: 0.0034, val loss: 0.0031
Epoch 40, train loss: 0.0026, val loss: 0.0207
Epoch 50, train loss: 0.0011, val loss: 0.0037
Epoch 0, train loss: 0.0800, val loss: 0.3569
Epoch 10, train loss: 0.0169, val loss: 0.0587
Epoch 20, train loss: 0.0122, val loss: 0.0362
Epoch 30, train loss: 0.0055, val loss: 0.0320
Epoch 40, train loss: 0.0020, val loss: 0.0082
Epoch 0, train loss: 0.0800, val loss: 0.3569
Epoch 10, train loss: 0.0169, val loss: 0.0587
Epoch 20, train loss: 0.0122, val loss: 0.0362
Epoch 30, train loss: 0.0055, val loss: 0.0320
Epoch 40, train loss: 0.0020, val loss: 0.0082
Epoch 50, train loss: 0.0014, val loss: 0.0074
Inferred coeffs for Belarus: [3.7542217e+00 1.0000000e-06 2.0001237e+00 1.0000000e-06 1.2788014e+00]
Epoch 0, train loss: 0.1326, val loss: 0.1896
Epoch 10, train loss: 0.0216, val loss: 0.0307
Epoch 20, train loss: 0.0129, val loss: 0.0885
Epoch 30, train loss: 0.0134, val loss: 0.1223
Epoch 40, train loss: 0.0110, val loss: 0.1170
Epoch 0, train loss: 0.1326, val loss: 0.1896
Epoch 10, train loss: 0.0216, val loss: 0.0307
Epoch 20, train loss: 0.0129, val loss: 0.0885
Epoch 30, train loss: 0.0134, val loss: 0.1223
Epoch 40, train loss: 0.0110, val loss: 0.1170
Epoch 0, train loss: 0.1326, val loss: 0.4606
Epoch 10, train loss: 0.0700, val loss: 0.1661
Epoch 20, train loss: 0.0170, val loss: 0.0492
Epoch 30, train loss: 0.0162, val loss: 0.1548
Epoch 40, train loss: 0.0123, val loss: 0.1165
Epoch 0, train loss: 0.1326, val loss: 0.4606
Epoch 10, train loss: 0.0700, val loss: 0.1661
Epoch 20, train loss: 0.0170, val loss: 0.0492
Epoch 30, train loss: 0.0162, val loss: 0.1548
Epoch 40, train loss: 0.0123, val loss: 0.1165
Inferred coeffs for Tajikistan: [3.6742473e+00 1.0000000e-06 2.0049648e+00 1.0000000e-06 1.2728937e+00]
Epoch 0, train loss: 0.0917, val loss: 0.1152
Epoch 10, train loss: 0.0188, val loss: 0.0140
Epoch 20, train loss: 0.0083, val loss: 0.0104
Epoch 30, train loss: 0.0093, val loss: 0.0292
Epoch 40, train loss: 0.0038, val loss: 0.0037
Epoch 0, train loss: 0.0917, val loss: 0.1152
Epoch 10, train loss: 0.0188, val loss: 0.0140
Epoch 20, train loss: 0.0083, val loss: 0.0104
Epoch 30, train loss: 0.0093, val loss: 0.0292
Epoch 40, train loss: 0.0038, val loss: 0.0037
Epoch 50, train loss: 0.0032, val loss: 0.0028
Epoch 60, train loss: 0.0033, val loss: 0.0047
Epoch 0, train loss: 0.0917, val loss: 0.3898
Epoch 10, train loss: 0.0287, val loss: 0.0914
Epoch 20, train loss: 0.0140, val loss: 0.0652
Epoch 30, train loss: 0.0025, val loss: 0.0094
Epoch 40, train loss: 0.0018, val loss: 0.0175
Epoch 0, train loss: 0.0917, val loss: 0.3898
Epoch 10, train loss: 0.0287, val loss: 0.0914
Epoch 20, train loss: 0.0140, val loss: 0.0652
Epoch 30, train loss: 0.0025, val loss: 0.0094
Epoch 40, train loss: 0.0018, val loss: 0.0175
Epoch 50, train loss: 0.0028, val loss: 0.0030
Epoch 60, train loss: 0.0017, val loss: 0.0053
Epoch 70, train loss: 0.0018, val loss: 0.0083
Inferred coeffs for Uzbekistan: [3.5797555e+00 1.0000000e-06 2.0018306e+00 1.0000000e-06 1.2655535e+00]
Epoch 0, train loss: 0.0818, val loss: 0.1027
Epoch 10, train loss: 0.0088, val loss: 0.0043
Epoch 20, train loss: 0.0029, val loss: 0.0168
Epoch 30, train loss: 0.0013, val loss: 0.0323
Epoch 40, train loss: 0.0013, val loss: 0.0301
Epoch 0, train loss: 0.0818, val loss: 0.1027
Epoch 10, train loss: 0.0088, val loss: 0.0043
Epoch 20, train loss: 0.0029, val loss: 0.0168
Epoch 30, train loss: 0.0013, val loss: 0.0323
Epoch 40, train loss: 0.0013, val loss: 0.0301
Epoch 0, train loss: 0.0818, val loss: 0.3772
Epoch 10, train loss: 0.0189, val loss: 0.0790
Epoch 20, train loss: 0.0141, val loss: 0.0339
Epoch 30, train loss: 0.0053, val loss: 0.0472
Epoch 40, train loss: 0.0033, val loss: 0.0106
Epoch 0, train loss: 0.0818, val loss: 0.3772
Epoch 10, train loss: 0.0189, val loss: 0.0790
Epoch 20, train loss: 0.0141, val loss: 0.0339
Epoch 30, train loss: 0.0053, val loss: 0.0472
Epoch 40, train loss: 0.0033, val loss: 0.0106
Epoch 50, train loss: 0.0015, val loss: 0.0162
Inferred coeffs for Bangladesh: [3.6821477e+00 1.0000000e-06 2.0010369e+00 1.0000000e-06 1.2726573e+00]
Epoch 0, train loss: 0.0980, val loss: 0.1539
Epoch 10, train loss: 0.0253, val loss: 0.0541
Epoch 20, train loss: 0.0151, val loss: 0.0313
Epoch 30, train loss: 0.0026, val loss: 0.0178
Epoch 40, train loss: 0.0047, val loss: 0.0148
Epoch 0, train loss: 0.0980, val loss: 0.1539
Epoch 10, train loss: 0.0253, val loss: 0.0541
Epoch 20, train loss: 0.0151, val loss: 0.0313
Epoch 30, train loss: 0.0026, val loss: 0.0178
Epoch 40, train loss: 0.0047, val loss: 0.0148
Epoch 50, train loss: 0.0070, val loss: 0.0230
Epoch 60, train loss: 0.0081, val loss: 0.0033
Epoch 70, train loss: 0.0056, val loss: 0.0132
Epoch 0, train loss: 0.0980, val loss: 0.4280
Epoch 10, train loss: 0.0350, val loss: 0.1301
Epoch 20, train loss: 0.0117, val loss: 0.0448
Epoch 30, train loss: 0.0028, val loss: 0.0138
Epoch 40, train loss: 0.0032, val loss: 0.0007
Epoch 0, train loss: 0.0980, val loss: 0.4280
Epoch 10, train loss: 0.0350, val loss: 0.1301
Epoch 20, train loss: 0.0117, val loss: 0.0448
Epoch 30, train loss: 0.0028, val loss: 0.0138
Epoch 40, train loss: 0.0032, val loss: 0.0007
Epoch 50, train loss: 0.0033, val loss: 0.0078
Epoch 60, train loss: 0.0027, val loss: 0.0032
Epoch 70, train loss: 0.0025, val loss: 0.0012
Inferred coeffs for Indonesia: [3.7484021e+00 1.0000000e-06 2.0032318e+00 1.0000000e-06 1.2816629e+00]
Epoch 0, train loss: 0.0649, val loss: 0.0553
Epoch 10, train loss: 0.0129, val loss: 0.0509
Epoch 20, train loss: 0.0082, val loss: 0.0420
Epoch 30, train loss: 0.0078, val loss: 0.0358
Epoch 40, train loss: 0.0074, val loss: 0.0336
Epoch 0, train loss: 0.0649, val loss: 0.0553
Epoch 10, train loss: 0.0129, val loss: 0.0509
Epoch 20, train loss: 0.0082, val loss: 0.0420
Epoch 30, train loss: 0.0078, val loss: 0.0358
Epoch 40, train loss: 0.0074, val loss: 0.0336
Epoch 0, train loss: 0.0649, val loss: 0.2136
Epoch 10, train loss: 0.0081, val loss: 0.0725
Epoch 20, train loss: 0.0132, val loss: 0.0884
Epoch 30, train loss: 0.0096, val loss: 0.0103
Epoch 0, train loss: 0.0649, val loss: 0.2136
Epoch 10, train loss: 0.0081, val loss: 0.0725
Epoch 20, train loss: 0.0132, val loss: 0.0884
Epoch 30, train loss: 0.0096, val loss: 0.0103
Inferred coeffs for China: [3.6878667e+00 1.0000000e-06 1.9949266e+00 1.0000000e-06 1.2680616e+00]
Epoch 0, train loss: 0.0784, val loss: 0.0579
Epoch 10, train loss: 0.0209, val loss: 0.0317
Epoch 20, train loss: 0.0055, val loss: 0.0405
Epoch 30, train loss: 0.0098, val loss: 0.0247
Epoch 40, train loss: 0.0010, val loss: 0.0104
Epoch 0, train loss: 0.0784, val loss: 0.0579
Epoch 10, train loss: 0.0209, val loss: 0.0317
Epoch 20, train loss: 0.0055, val loss: 0.0405
Epoch 30, train loss: 0.0098, val loss: 0.0247
Epoch 40, train loss: 0.0010, val loss: 0.0104
Epoch 50, train loss: 0.0016, val loss: 0.0112
Epoch 60, train loss: 0.0008, val loss: 0.0121
Epoch 70, train loss: 0.0031, val loss: 0.0097
Epoch 0, train loss: 0.0784, val loss: 0.3303
Epoch 10, train loss: 0.0149, val loss: 0.0341
Epoch 20, train loss: 0.0118, val loss: 0.0489
Epoch 30, train loss: 0.0067, val loss: 0.0212
Epoch 40, train loss: 0.0032, val loss: 0.0137
Epoch 0, train loss: 0.0784, val loss: 0.3303
Epoch 10, train loss: 0.0149, val loss: 0.0341
Epoch 20, train loss: 0.0118, val loss: 0.0489
Epoch 30, train loss: 0.0067, val loss: 0.0212
Epoch 40, train loss: 0.0032, val loss: 0.0137
Epoch 50, train loss: 0.0016, val loss: 0.0120
Epoch 60, train loss: 0.0014, val loss: 0.0085
Epoch 70, train loss: 0.0009, val loss: 0.0035
Epoch 80, train loss: 0.0008, val loss: 0.0059
Inferred coeffs for Latvia: [3.5459766e+00 1.0000000e-06 1.9992951e+00 1.0000000e-06 1.2611310e+00]
Epoch 0, train loss: 0.0794, val loss: 0.0726
Epoch 10, train loss: 0.0193, val loss: 0.0333
Epoch 20, train loss: 0.0161, val loss: 0.0270
Epoch 30, train loss: 0.0057, val loss: 0.0102
Epoch 40, train loss: 0.0019, val loss: 0.0184
Epoch 0, train loss: 0.0794, val loss: 0.0726
Epoch 10, train loss: 0.0193, val loss: 0.0333
Epoch 20, train loss: 0.0161, val loss: 0.0270
Epoch 30, train loss: 0.0057, val loss: 0.0102
Epoch 40, train loss: 0.0019, val loss: 0.0184
Epoch 50, train loss: 0.0026, val loss: 0.0149
Epoch 60, train loss: 0.0035, val loss: 0.0110
Epoch 70, train loss: 0.0016, val loss: 0.0075
Epoch 80, train loss: 0.0027, val loss: 0.0172
Epoch 90, train loss: 0.0017, val loss: 0.0137
Epoch 0, train loss: 0.0794, val loss: 0.3456
Epoch 10, train loss: 0.0161, val loss: 0.0488
Epoch 20, train loss: 0.0149, val loss: 0.0538
Epoch 30, train loss: 0.0062, val loss: 0.0333
Epoch 40, train loss: 0.0044, val loss: 0.0131
Epoch 0, train loss: 0.0794, val loss: 0.3456
Epoch 10, train loss: 0.0161, val loss: 0.0488
Epoch 20, train loss: 0.0149, val loss: 0.0538
Epoch 30, train loss: 0.0062, val loss: 0.0333
Epoch 40, train loss: 0.0044, val loss: 0.0131
Inferred coeffs for Lithuania: [3.477367e+00 1.000000e-06 2.000050e+00 1.000000e-06 1.257904e+00]
Epoch 0, train loss: 0.0864, val loss: 0.0984
Epoch 10, train loss: 0.0132, val loss: 0.0045
Epoch 20, train loss: 0.0020, val loss: 0.0054
Epoch 30, train loss: 0.0050, val loss: 0.0254
Epoch 40, train loss: 0.0030, val loss: 0.0040
Epoch 0, train loss: 0.0864, val loss: 0.0984
Epoch 10, train loss: 0.0132, val loss: 0.0045
Epoch 20, train loss: 0.0020, val loss: 0.0054
Epoch 30, train loss: 0.0050, val loss: 0.0254
Epoch 40, train loss: 0.0030, val loss: 0.0040
Epoch 50, train loss: 0.0019, val loss: 0.0190
Epoch 60, train loss: 0.0012, val loss: 0.0162
Epoch 70, train loss: 0.0069, val loss: 0.0173
Epoch 0, train loss: 0.0864, val loss: 0.3738
Epoch 10, train loss: 0.0235, val loss: 0.0747
Epoch 20, train loss: 0.0147, val loss: 0.0615
Epoch 30, train loss: 0.0043, val loss: 0.0232
Epoch 40, train loss: 0.0027, val loss: 0.0176
Epoch 0, train loss: 0.0864, val loss: 0.3738
Epoch 10, train loss: 0.0235, val loss: 0.0747
Epoch 20, train loss: 0.0147, val loss: 0.0615
Epoch 30, train loss: 0.0043, val loss: 0.0232
Epoch 40, train loss: 0.0027, val loss: 0.0176
Inferred coeffs for Armenia: [3.5808392e+00 1.0000000e-06 2.0009460e+00 1.0000000e-06 1.2653517e+00]
Epoch 0, train loss: 0.0876, val loss: 0.1063
Epoch 10, train loss: 0.0143, val loss: 0.0026
Epoch 20, train loss: 0.0054, val loss: 0.0363
Epoch 30, train loss: 0.0041, val loss: 0.0152
Epoch 40, train loss: 0.0030, val loss: 0.0198
Epoch 0, train loss: 0.0876, val loss: 0.1063
Epoch 10, train loss: 0.0143, val loss: 0.0026
Epoch 20, train loss: 0.0054, val loss: 0.0363
Epoch 30, train loss: 0.0041, val loss: 0.0152
Epoch 40, train loss: 0.0030, val loss: 0.0198
Epoch 50, train loss: 0.0040, val loss: 0.0033
Epoch 60, train loss: 0.0025, val loss: 0.0120
Epoch 70, train loss: 0.0027, val loss: 0.0054
Epoch 80, train loss: 0.0028, val loss: 0.0022
Epoch 0, train loss: 0.0876, val loss: 0.3821
Epoch 10, train loss: 0.0248, val loss: 0.0826
Epoch 20, train loss: 0.0136, val loss: 0.0549
Epoch 30, train loss: 0.0044, val loss: 0.0253
Epoch 40, train loss: 0.0030, val loss: 0.0153
Epoch 0, train loss: 0.0876, val loss: 0.3821
Epoch 10, train loss: 0.0248, val loss: 0.0826
Epoch 20, train loss: 0.0136, val loss: 0.0549
Epoch 30, train loss: 0.0044, val loss: 0.0253
Epoch 40, train loss: 0.0030, val loss: 0.0153
Epoch 50, train loss: 0.0030, val loss: 0.0096
Epoch 60, train loss: 0.0025, val loss: 0.0067
Epoch 70, train loss: 0.0024, val loss: 0.0026
Epoch 80, train loss: 0.0023, val loss: 0.0040
Epoch 90, train loss: 0.0023, val loss: 0.0065
Inferred coeffs for Djibouti: [3.5528679e+00 1.0000000e-06 2.0013323e+00 1.0000000e-06 1.2637573e+00]
Epoch 0, train loss: 0.0821, val loss: 0.0848
Epoch 10, train loss: 0.0087, val loss: 0.0193
Epoch 20, train loss: 0.0009, val loss: 0.0351
Epoch 30, train loss: 0.0094, val loss: 0.0318
Epoch 40, train loss: 0.0058, val loss: 0.0165
Epoch 0, train loss: 0.0821, val loss: 0.0848
Epoch 10, train loss: 0.0087, val loss: 0.0193
Epoch 20, train loss: 0.0009, val loss: 0.0351
Epoch 30, train loss: 0.0094, val loss: 0.0318
Epoch 40, train loss: 0.0058, val loss: 0.0165
Epoch 50, train loss: 0.0029, val loss: 0.0011
Epoch 60, train loss: 0.0131, val loss: 0.0524
Epoch 70, train loss: 0.0004, val loss: 0.0182
Epoch 80, train loss: 0.0028, val loss: 0.0159
Epoch 90, train loss: 0.0087, val loss: 0.0290
Epoch 0, train loss: 0.0821, val loss: 0.3604
Epoch 10, train loss: 0.0193, val loss: 0.0611
Epoch 20, train loss: 0.0138, val loss: 0.0522
Epoch 30, train loss: 0.0059, val loss: 0.0305
Epoch 40, train loss: 0.0034, val loss: 0.0103
Epoch 0, train loss: 0.0821, val loss: 0.3604
Epoch 10, train loss: 0.0193, val loss: 0.0611
Epoch 20, train loss: 0.0138, val loss: 0.0522
Epoch 30, train loss: 0.0059, val loss: 0.0305
Epoch 40, train loss: 0.0034, val loss: 0.0103
Epoch 50, train loss: 0.0011, val loss: 0.0031
Epoch 60, train loss: 0.0006, val loss: 0.0030
Epoch 70, train loss: 0.0004, val loss: 0.0018
Epoch 80, train loss: 0.0004, val loss: 0.0046
Inferred coeffs for Guinea-Bissau: [3.4860444e+00 1.0000000e-06 2.0002651e+00 1.0000000e-06 1.2605910e+00]