
Epoch 0, train loss: 0.0228, val loss: 0.0840
Epoch 10, train loss: 0.0021, val loss: 0.0407
Epoch 20, train loss: 0.0031, val loss: 0.0288
Epoch 30, train loss: 0.0032, val loss: 0.0193
Epoch 40, train loss: 0.0016, val loss: 0.0186
Epoch 0, train loss: 0.0228, val loss: 0.0840
Epoch 10, train loss: 0.0021, val loss: 0.0407
Epoch 20, train loss: 0.0031, val loss: 0.0288
Epoch 30, train loss: 0.0032, val loss: 0.0193
Epoch 40, train loss: 0.0016, val loss: 0.0186
Epoch 50, train loss: 0.0048, val loss: 0.0092
Epoch 60, train loss: 0.0034, val loss: 0.0208
Epoch 70, train loss: 0.0037, val loss: 0.0189
Epoch 0, train loss: 0.0228, val loss: 0.0671
Epoch 10, train loss: 0.0063, val loss: 0.0262
Epoch 20, train loss: 0.0031, val loss: 0.0018
Epoch 30, train loss: 0.0021, val loss: 0.0025
Epoch 40, train loss: 0.0016, val loss: 0.0051
Epoch 0, train loss: 0.0228, val loss: 0.0671
Epoch 10, train loss: 0.0063, val loss: 0.0262
Epoch 20, train loss: 0.0031, val loss: 0.0018
Epoch 30, train loss: 0.0021, val loss: 0.0025
Epoch 40, train loss: 0.0016, val loss: 0.0051
Epoch 50, train loss: 0.0015, val loss: 0.0064
Inferred coeffs for Iceland: [3.3736014 1.0026042 1.0064819]
Epoch 0, train loss: 0.0247, val loss: 0.0790
Epoch 10, train loss: 0.0038, val loss: 0.0244
Epoch 20, train loss: 0.0035, val loss: 0.0146
Epoch 30, train loss: 0.0074, val loss: 0.0016
Epoch 40, train loss: 0.0017, val loss: 0.0364
Epoch 0, train loss: 0.0247, val loss: 0.0790
Epoch 10, train loss: 0.0038, val loss: 0.0244
Epoch 20, train loss: 0.0035, val loss: 0.0146
Epoch 30, train loss: 0.0074, val loss: 0.0016
Epoch 40, train loss: 0.0017, val loss: 0.0364
Epoch 50, train loss: 0.0018, val loss: 0.0043
Epoch 60, train loss: 0.0036, val loss: 0.0027
Epoch 0, train loss: 0.0247, val loss: 0.0721
Epoch 10, train loss: 0.0076, val loss: 0.0354
Epoch 20, train loss: 0.0040, val loss: 0.0016
Epoch 30, train loss: 0.0017, val loss: 0.0055
Epoch 40, train loss: 0.0020, val loss: 0.0129
Epoch 0, train loss: 0.0247, val loss: 0.0721
Epoch 10, train loss: 0.0076, val loss: 0.0354
Epoch 20, train loss: 0.0040, val loss: 0.0016
Epoch 30, train loss: 0.0017, val loss: 0.0055
Epoch 40, train loss: 0.0020, val loss: 0.0129
Inferred coeffs for Canada: [3.3751433 1.0029236 1.0063003]
Epoch 0, train loss: 0.0143, val loss: 0.0969
Epoch 10, train loss: 0.0100, val loss: 0.0026
Epoch 20, train loss: 0.0056, val loss: 0.0502
Epoch 30, train loss: 0.0061, val loss: 0.0209
Epoch 40, train loss: 0.0046, val loss: 0.0118
Epoch 0, train loss: 0.0143, val loss: 0.0969
Epoch 10, train loss: 0.0100, val loss: 0.0026
Epoch 20, train loss: 0.0056, val loss: 0.0502
Epoch 30, train loss: 0.0061, val loss: 0.0209
Epoch 40, train loss: 0.0046, val loss: 0.0118
Epoch 50, train loss: 0.0017, val loss: 0.0078
Epoch 0, train loss: 0.0143, val loss: 0.0542
Epoch 10, train loss: 0.0018, val loss: 0.0231
Epoch 20, train loss: 0.0021, val loss: 0.0098
Epoch 30, train loss: 0.0015, val loss: 0.0112
Epoch 0, train loss: 0.0143, val loss: 0.0542
Epoch 10, train loss: 0.0018, val loss: 0.0231
Epoch 20, train loss: 0.0021, val loss: 0.0098
Epoch 30, train loss: 0.0015, val loss: 0.0112
Inferred coeffs for Algeria: [3.3789506  1.0018914  0.99531835]
Epoch 0, train loss: 0.0164, val loss: 0.1116
Epoch 10, train loss: 0.0078, val loss: 0.0125
Epoch 20, train loss: 0.0055, val loss: 0.0293
Epoch 30, train loss: 0.0013, val loss: 0.0235
Epoch 40, train loss: 0.0028, val loss: 0.0058
Epoch 0, train loss: 0.0164, val loss: 0.1116
Epoch 10, train loss: 0.0078, val loss: 0.0125
Epoch 20, train loss: 0.0055, val loss: 0.0293
Epoch 30, train loss: 0.0013, val loss: 0.0235
Epoch 40, train loss: 0.0028, val loss: 0.0058
Epoch 50, train loss: 0.0040, val loss: 0.0136
Epoch 60, train loss: 0.0033, val loss: 0.0122
Epoch 70, train loss: 0.0025, val loss: 0.0080
Epoch 80, train loss: 0.0010, val loss: 0.0020
Epoch 0, train loss: 0.0164, val loss: 0.0394
Epoch 10, train loss: 0.0017, val loss: 0.0066
Epoch 20, train loss: 0.0021, val loss: 0.0158
Epoch 30, train loss: 0.0013, val loss: 0.0128
Epoch 40, train loss: 0.0010, val loss: 0.0102
Epoch 0, train loss: 0.0164, val loss: 0.0394
Epoch 10, train loss: 0.0017, val loss: 0.0066
Epoch 20, train loss: 0.0021, val loss: 0.0158
Epoch 30, train loss: 0.0013, val loss: 0.0128
Epoch 40, train loss: 0.0010, val loss: 0.0102
Inferred coeffs for Burkina Faso: [3.3748257 1.0009453 0.9967231]
Epoch 0, train loss: 0.0171, val loss: 0.0978
Epoch 10, train loss: 0.0077, val loss: 0.0022
Epoch 20, train loss: 0.0020, val loss: 0.0251
Epoch 30, train loss: 0.0020, val loss: 0.0068
Epoch 40, train loss: 0.0010, val loss: 0.0024
Epoch 0, train loss: 0.0171, val loss: 0.0978
Epoch 10, train loss: 0.0077, val loss: 0.0022
Epoch 20, train loss: 0.0020, val loss: 0.0251
Epoch 30, train loss: 0.0020, val loss: 0.0068
Epoch 40, train loss: 0.0010, val loss: 0.0024
Epoch 50, train loss: 0.0011, val loss: 0.0063
Epoch 60, train loss: 0.0019, val loss: 0.0058
Epoch 70, train loss: 0.0016, val loss: 0.0182
Epoch 0, train loss: 0.0171, val loss: 0.0533
Epoch 10, train loss: 0.0032, val loss: 0.0023
Epoch 20, train loss: 0.0020, val loss: 0.0057
Epoch 30, train loss: 0.0008, val loss: 0.0019
Epoch 40, train loss: 0.0010, val loss: 0.0017
Epoch 0, train loss: 0.0171, val loss: 0.0533
Epoch 10, train loss: 0.0032, val loss: 0.0023
Epoch 20, train loss: 0.0020, val loss: 0.0057
Epoch 30, train loss: 0.0008, val loss: 0.0019
Epoch 40, train loss: 0.0010, val loss: 0.0017
Epoch 50, train loss: 0.0010, val loss: 0.0016
Epoch 60, train loss: 0.0008, val loss: 0.0025
Epoch 70, train loss: 0.0008, val loss: 0.0022
Inferred coeffs for Ghana: [3.140022  1.0021263 1.0138437]
Epoch 0, train loss: 0.0161, val loss: 0.1060
Epoch 10, train loss: 0.0081, val loss: 0.0068
Epoch 20, train loss: 0.0075, val loss: 0.0411
Epoch 30, train loss: 0.0042, val loss: 0.0050
Epoch 40, train loss: 0.0008, val loss: 0.0072
Epoch 0, train loss: 0.0161, val loss: 0.1060
Epoch 10, train loss: 0.0081, val loss: 0.0068
Epoch 20, train loss: 0.0075, val loss: 0.0411
Epoch 30, train loss: 0.0042, val loss: 0.0050
Epoch 40, train loss: 0.0008, val loss: 0.0072
Epoch 50, train loss: 0.0010, val loss: 0.0018
Epoch 60, train loss: 0.0015, val loss: 0.0037
Epoch 70, train loss: 0.0017, val loss: 0.0025
Epoch 0, train loss: 0.0161, val loss: 0.0451
Epoch 10, train loss: 0.0012, val loss: 0.0060
Epoch 20, train loss: 0.0011, val loss: 0.0011
Epoch 30, train loss: 0.0007, val loss: 0.0005
Epoch 40, train loss: 0.0008, val loss: 0.0017
Epoch 0, train loss: 0.0161, val loss: 0.0451
Epoch 10, train loss: 0.0012, val loss: 0.0060
Epoch 20, train loss: 0.0011, val loss: 0.0011
Epoch 30, train loss: 0.0007, val loss: 0.0005
Epoch 40, train loss: 0.0008, val loss: 0.0017
Epoch 50, train loss: 0.0008, val loss: 0.0045
Epoch 60, train loss: 0.0007, val loss: 0.0013
Epoch 70, train loss: 0.0008, val loss: 0.0028
Epoch 80, train loss: 0.0007, val loss: 0.0022
Epoch 90, train loss: 0.0007, val loss: 0.0020
Inferred coeffs for Cote d'Ivoire: [3.3706763 1.0013014 0.992042 ]
Epoch 0, train loss: 0.0193, val loss: 0.1075
Epoch 10, train loss: 0.0149, val loss: 0.0484
Epoch 20, train loss: 0.0053, val loss: 0.0087
Epoch 30, train loss: 0.0037, val loss: 0.0299
Epoch 40, train loss: 0.0028, val loss: 0.0135
Epoch 0, train loss: 0.0193, val loss: 0.1075
Epoch 10, train loss: 0.0149, val loss: 0.0484
Epoch 20, train loss: 0.0053, val loss: 0.0087
Epoch 30, train loss: 0.0037, val loss: 0.0299
Epoch 40, train loss: 0.0028, val loss: 0.0135
Epoch 50, train loss: 0.0023, val loss: 0.0056
Epoch 60, train loss: 0.0025, val loss: 0.0143
Epoch 0, train loss: 0.0193, val loss: 0.0436
Epoch 10, train loss: 0.0050, val loss: 0.0285
Epoch 20, train loss: 0.0024, val loss: 0.0163
Epoch 30, train loss: 0.0024, val loss: 0.0097
Epoch 40, train loss: 0.0026, val loss: 0.0202
Epoch 0, train loss: 0.0193, val loss: 0.0436
Epoch 10, train loss: 0.0050, val loss: 0.0285
Epoch 20, train loss: 0.0024, val loss: 0.0163
Epoch 30, train loss: 0.0024, val loss: 0.0097
Epoch 40, train loss: 0.0026, val loss: 0.0202
Inferred coeffs for Niger: [3.3724818 1.0011694 0.9993374]
Epoch 0, train loss: 0.0159, val loss: 0.1082
Epoch 10, train loss: 0.0083, val loss: 0.0091
Epoch 20, train loss: 0.0064, val loss: 0.0326
Epoch 30, train loss: 0.0101, val loss: 0.0212
Epoch 40, train loss: 0.0040, val loss: 0.0190
Epoch 0, train loss: 0.0159, val loss: 0.1082
Epoch 10, train loss: 0.0083, val loss: 0.0091
Epoch 20, train loss: 0.0064, val loss: 0.0326
Epoch 30, train loss: 0.0101, val loss: 0.0212
Epoch 40, train loss: 0.0040, val loss: 0.0190
Epoch 50, train loss: 0.0012, val loss: 0.0122
Epoch 60, train loss: 0.0013, val loss: 0.0128
Epoch 70, train loss: 0.0024, val loss: 0.0046
Epoch 80, train loss: 0.0024, val loss: 0.0062
Epoch 0, train loss: 0.0159, val loss: 0.0428
Epoch 10, train loss: 0.0012, val loss: 0.0027
Epoch 20, train loss: 0.0021, val loss: 0.0085
Epoch 30, train loss: 0.0014, val loss: 0.0059
Epoch 40, train loss: 0.0011, val loss: 0.0041
Epoch 0, train loss: 0.0159, val loss: 0.0428
Epoch 10, train loss: 0.0012, val loss: 0.0027
Epoch 20, train loss: 0.0021, val loss: 0.0085
Epoch 30, train loss: 0.0014, val loss: 0.0059
Epoch 40, train loss: 0.0011, val loss: 0.0041
Epoch 50, train loss: 0.0011, val loss: 0.0045
Inferred coeffs for Tunisia: [3.0468814 1.0015155 1.0383093]
Epoch 0, train loss: 0.0112, val loss: 0.1137
Epoch 10, train loss: 0.0130, val loss: 0.0146
Epoch 20, train loss: 0.0026, val loss: 0.0333
Epoch 30, train loss: 0.0021, val loss: 0.0180
Epoch 40, train loss: 0.0012, val loss: 0.0037
Epoch 0, train loss: 0.0112, val loss: 0.1137
Epoch 10, train loss: 0.0130, val loss: 0.0146
Epoch 20, train loss: 0.0026, val loss: 0.0333
Epoch 30, train loss: 0.0021, val loss: 0.0180
Epoch 40, train loss: 0.0012, val loss: 0.0037
Epoch 50, train loss: 0.0016, val loss: 0.0133
Epoch 0, train loss: 0.0112, val loss: 0.0374
Epoch 10, train loss: 0.0028, val loss: 0.0213
Epoch 20, train loss: 0.0009, val loss: 0.0158
Epoch 30, train loss: 0.0011, val loss: 0.0095
Epoch 0, train loss: 0.0112, val loss: 0.0374
Epoch 10, train loss: 0.0028, val loss: 0.0213
Epoch 20, train loss: 0.0009, val loss: 0.0158
Epoch 30, train loss: 0.0011, val loss: 0.0095
Inferred coeffs for Belgium: [3.3794937  1.0009464  0.99662286]
Epoch 0, train loss: 0.0123, val loss: 0.1047
Epoch 10, train loss: 0.0122, val loss: 0.0066
Epoch 20, train loss: 0.0033, val loss: 0.0421
Epoch 30, train loss: 0.0048, val loss: 0.0177
Epoch 40, train loss: 0.0036, val loss: 0.0203
Epoch 0, train loss: 0.0123, val loss: 0.1047
Epoch 10, train loss: 0.0122, val loss: 0.0066
Epoch 20, train loss: 0.0033, val loss: 0.0421
Epoch 30, train loss: 0.0048, val loss: 0.0177
Epoch 40, train loss: 0.0036, val loss: 0.0203
Epoch 50, train loss: 0.0019, val loss: 0.0180
Epoch 60, train loss: 0.0031, val loss: 0.0208
Epoch 70, train loss: 0.0013, val loss: 0.0052
Epoch 80, train loss: 0.0033, val loss: 0.0048
Epoch 90, train loss: 0.0024, val loss: 0.0122
Epoch 0, train loss: 0.0123, val loss: 0.0499
Epoch 10, train loss: 0.0022, val loss: 0.0282
Epoch 20, train loss: 0.0008, val loss: 0.0228
Epoch 30, train loss: 0.0008, val loss: 0.0221
Epoch 0, train loss: 0.0123, val loss: 0.0499
Epoch 10, train loss: 0.0022, val loss: 0.0282
Epoch 20, train loss: 0.0008, val loss: 0.0228
Epoch 30, train loss: 0.0008, val loss: 0.0221
Inferred coeffs for Germany: [2.9792185 1.0016673 0.9282331]
Epoch 0, train loss: 0.0177, val loss: 0.0973
Epoch 10, train loss: 0.0065, val loss: 0.0019
Epoch 20, train loss: 0.0018, val loss: 0.0092
Epoch 30, train loss: 0.0020, val loss: 0.0049
Epoch 40, train loss: 0.0041, val loss: 0.0184
Epoch 0, train loss: 0.0177, val loss: 0.0973
Epoch 10, train loss: 0.0065, val loss: 0.0019
Epoch 20, train loss: 0.0018, val loss: 0.0092
Epoch 30, train loss: 0.0020, val loss: 0.0049
Epoch 40, train loss: 0.0041, val loss: 0.0184
Epoch 50, train loss: 0.0056, val loss: 0.0274
Epoch 60, train loss: 0.0067, val loss: 0.0034
Epoch 70, train loss: 0.0056, val loss: 0.0094
Epoch 80, train loss: 0.0049, val loss: 0.0137
Epoch 0, train loss: 0.0177, val loss: 0.0538
Epoch 10, train loss: 0.0050, val loss: 0.0114
Epoch 20, train loss: 0.0013, val loss: 0.0040
Epoch 30, train loss: 0.0020, val loss: 0.0030
Epoch 40, train loss: 0.0012, val loss: 0.0013
Epoch 0, train loss: 0.0177, val loss: 0.0538
Epoch 10, train loss: 0.0050, val loss: 0.0114
Epoch 20, train loss: 0.0013, val loss: 0.0040
Epoch 30, train loss: 0.0020, val loss: 0.0030
Epoch 40, train loss: 0.0012, val loss: 0.0013
Epoch 50, train loss: 0.0011, val loss: 0.0029
Epoch 60, train loss: 0.0011, val loss: 0.0010
Epoch 70, train loss: 0.0011, val loss: 0.0011
Epoch 80, train loss: 0.0011, val loss: 0.0010
Epoch 90, train loss: 0.0011, val loss: 0.0012
Inferred coeffs for Estonia: [3.1480803 1.0022675 1.0507246]
Epoch 0, train loss: 0.0428, val loss: 0.0320
Epoch 10, train loss: 0.0146, val loss: 0.0177
Epoch 20, train loss: 0.0161, val loss: 0.0516
Epoch 30, train loss: 0.0122, val loss: 0.0396
Epoch 40, train loss: 0.0089, val loss: 0.0023
Epoch 0, train loss: 0.0428, val loss: 0.0320
Epoch 10, train loss: 0.0146, val loss: 0.0177
Epoch 20, train loss: 0.0161, val loss: 0.0516
Epoch 30, train loss: 0.0122, val loss: 0.0396
Epoch 40, train loss: 0.0089, val loss: 0.0023
Epoch 50, train loss: 0.0088, val loss: 0.0135
Epoch 60, train loss: 0.0091, val loss: 0.0049
Epoch 70, train loss: 0.0088, val loss: 0.0105
Epoch 0, train loss: 0.0428, val loss: 0.1831
Epoch 10, train loss: 0.0101, val loss: 0.0203
Epoch 20, train loss: 0.0087, val loss: 0.0073
Epoch 30, train loss: 0.0096, val loss: 0.0274
Epoch 40, train loss: 0.0088, val loss: 0.0026
Epoch 0, train loss: 0.0428, val loss: 0.1831
Epoch 10, train loss: 0.0101, val loss: 0.0203
Epoch 20, train loss: 0.0087, val loss: 0.0073
Epoch 30, train loss: 0.0096, val loss: 0.0274
Epoch 40, train loss: 0.0088, val loss: 0.0026
Epoch 50, train loss: 0.0085, val loss: 0.0107
Epoch 60, train loss: 0.0083, val loss: 0.0070
Inferred coeffs for Ireland: [3.2676952 1.0104488 1.1732551]
Epoch 0, train loss: 0.0328, val loss: 0.0436
Epoch 10, train loss: 0.0078, val loss: 0.0304
Epoch 20, train loss: 0.0113, val loss: 0.0150
Epoch 30, train loss: 0.0058, val loss: 0.0394
Epoch 40, train loss: 0.0105, val loss: 0.0268
Epoch 0, train loss: 0.0328, val loss: 0.0436
Epoch 10, train loss: 0.0078, val loss: 0.0304
Epoch 20, train loss: 0.0113, val loss: 0.0150
Epoch 30, train loss: 0.0058, val loss: 0.0394
Epoch 40, train loss: 0.0105, val loss: 0.0268
Epoch 50, train loss: 0.0072, val loss: 0.0124
Epoch 60, train loss: 0.0056, val loss: 0.0286
Epoch 70, train loss: 0.0056, val loss: 0.0249
Epoch 0, train loss: 0.0328, val loss: 0.1075
Epoch 10, train loss: 0.0079, val loss: 0.0425
Epoch 20, train loss: 0.0067, val loss: 0.0043
Epoch 30, train loss: 0.0057, val loss: 0.0275
Epoch 40, train loss: 0.0060, val loss: 0.0110
Epoch 0, train loss: 0.0328, val loss: 0.1075
Epoch 10, train loss: 0.0079, val loss: 0.0425
Epoch 20, train loss: 0.0067, val loss: 0.0043
Epoch 30, train loss: 0.0057, val loss: 0.0275
Epoch 40, train loss: 0.0060, val loss: 0.0110
Epoch 50, train loss: 0.0054, val loss: 0.0178
Inferred coeffs for Luxembourg: [3.2520394 1.0055249 1.1981137]
Epoch 0, train loss: 0.0567, val loss: 0.0291
Epoch 10, train loss: 0.0061, val loss: 0.0656
Epoch 20, train loss: 0.0088, val loss: 0.0735
Epoch 30, train loss: 0.0101, val loss: 0.0459
Epoch 40, train loss: 0.0075, val loss: 0.0108
Epoch 0, train loss: 0.0567, val loss: 0.0291
Epoch 10, train loss: 0.0061, val loss: 0.0656
Epoch 20, train loss: 0.0088, val loss: 0.0735
Epoch 30, train loss: 0.0101, val loss: 0.0459
Epoch 40, train loss: 0.0075, val loss: 0.0108
Epoch 50, train loss: 0.0051, val loss: 0.0266
Epoch 60, train loss: 0.0049, val loss: 0.0295
Epoch 0, train loss: 0.0567, val loss: 0.1802
Epoch 10, train loss: 0.0161, val loss: 0.0122
Epoch 20, train loss: 0.0122, val loss: 0.0691
Epoch 30, train loss: 0.0070, val loss: 0.0128
Epoch 40, train loss: 0.0054, val loss: 0.0452
Epoch 0, train loss: 0.0567, val loss: 0.1802
Epoch 10, train loss: 0.0161, val loss: 0.0122
Epoch 20, train loss: 0.0122, val loss: 0.0691
Epoch 30, train loss: 0.0070, val loss: 0.0128
Epoch 40, train loss: 0.0054, val loss: 0.0452
Inferred coeffs for Norway: [3.2911816 1.010053  1.0465592]
Epoch 0, train loss: 0.0492, val loss: 0.0493
Epoch 10, train loss: 0.0181, val loss: 0.0368
Epoch 20, train loss: 0.0121, val loss: 0.0297
Epoch 30, train loss: 0.0102, val loss: 0.0193
Epoch 40, train loss: 0.0084, val loss: 0.0032
Epoch 0, train loss: 0.0492, val loss: 0.0493
Epoch 10, train loss: 0.0181, val loss: 0.0368
Epoch 20, train loss: 0.0121, val loss: 0.0297
Epoch 30, train loss: 0.0102, val loss: 0.0193
Epoch 40, train loss: 0.0084, val loss: 0.0032
Epoch 50, train loss: 0.0086, val loss: 0.0166
Epoch 0, train loss: 0.0492, val loss: 0.2003
Epoch 10, train loss: 0.0115, val loss: 0.0341
Epoch 20, train loss: 0.0109, val loss: 0.0120
Epoch 30, train loss: 0.0091, val loss: 0.0301
Epoch 40, train loss: 0.0078, val loss: 0.0034
Epoch 0, train loss: 0.0492, val loss: 0.2003
Epoch 10, train loss: 0.0115, val loss: 0.0341
Epoch 20, train loss: 0.0109, val loss: 0.0120
Epoch 30, train loss: 0.0091, val loss: 0.0301
Epoch 40, train loss: 0.0078, val loss: 0.0034
Epoch 50, train loss: 0.0078, val loss: 0.0052
Epoch 60, train loss: 0.0078, val loss: 0.0142
Epoch 70, train loss: 0.0077, val loss: 0.0091
Inferred coeffs for Poland: [3.2959924 1.0113506 1.0619917]
Epoch 0, train loss: 0.0105, val loss: 0.1206
Epoch 10, train loss: 0.0137, val loss: 0.0215
Epoch 20, train loss: 0.0019, val loss: 0.0265
Epoch 30, train loss: 0.0004, val loss: 0.0081
Epoch 40, train loss: 0.0014, val loss: 0.0301
Epoch 0, train loss: 0.0105, val loss: 0.1206
Epoch 10, train loss: 0.0137, val loss: 0.0215
Epoch 20, train loss: 0.0019, val loss: 0.0265
Epoch 30, train loss: 0.0004, val loss: 0.0081
Epoch 40, train loss: 0.0014, val loss: 0.0301
Epoch 50, train loss: 0.0080, val loss: 0.0312
Epoch 60, train loss: 0.0004, val loss: 0.0163
Epoch 0, train loss: 0.0105, val loss: 0.0304
Epoch 10, train loss: 0.0026, val loss: 0.0172
Epoch 20, train loss: 0.0008, val loss: 0.0086
Epoch 30, train loss: 0.0002, val loss: 0.0089
Epoch 40, train loss: 0.0003, val loss: 0.0051
Epoch 0, train loss: 0.0105, val loss: 0.0304
Epoch 10, train loss: 0.0026, val loss: 0.0172
Epoch 20, train loss: 0.0008, val loss: 0.0086
Epoch 30, train loss: 0.0002, val loss: 0.0089
Epoch 40, train loss: 0.0003, val loss: 0.0051
Inferred coeffs for Sweden: [3.3730283 1.000397  1.0033603]
Epoch 0, train loss: 0.0308, val loss: 0.0665
Epoch 10, train loss: 0.0051, val loss: 0.0329
Epoch 20, train loss: 0.0048, val loss: 0.0259
Epoch 30, train loss: 0.0048, val loss: 0.0242
Epoch 0, train loss: 0.0308, val loss: 0.0665
Epoch 10, train loss: 0.0051, val loss: 0.0329
Epoch 20, train loss: 0.0048, val loss: 0.0259
Epoch 30, train loss: 0.0048, val loss: 0.0242
Epoch 0, train loss: 0.0308, val loss: 0.0845
Epoch 10, train loss: 0.0083, val loss: 0.0549
Epoch 20, train loss: 0.0050, val loss: 0.0074
Epoch 30, train loss: 0.0051, val loss: 0.0293
Epoch 0, train loss: 0.0308, val loss: 0.0845
Epoch 10, train loss: 0.0083, val loss: 0.0549
Epoch 20, train loss: 0.0050, val loss: 0.0074
Epoch 30, train loss: 0.0051, val loss: 0.0293
Inferred coeffs for South Africa: [3.381437  1.0035894 1.0059854]
Epoch 0, train loss: 0.0160, val loss: 0.1037
Epoch 10, train loss: 0.0098, val loss: 0.0122
Epoch 20, train loss: 0.0052, val loss: 0.0243
Epoch 30, train loss: 0.0035, val loss: 0.0033
Epoch 40, train loss: 0.0029, val loss: 0.0047
Epoch 0, train loss: 0.0160, val loss: 0.1037
Epoch 10, train loss: 0.0098, val loss: 0.0122
Epoch 20, train loss: 0.0052, val loss: 0.0243
Epoch 30, train loss: 0.0035, val loss: 0.0033
Epoch 40, train loss: 0.0029, val loss: 0.0047
Epoch 50, train loss: 0.0028, val loss: 0.0029
Epoch 60, train loss: 0.0026, val loss: 0.0088
Epoch 70, train loss: 0.0026, val loss: 0.0035
Epoch 0, train loss: 0.0160, val loss: 0.0473
Epoch 10, train loss: 0.0034, val loss: 0.0036
Epoch 20, train loss: 0.0025, val loss: 0.0026
Epoch 30, train loss: 0.0025, val loss: 0.0041
Epoch 40, train loss: 0.0024, val loss: 0.0059
Epoch 0, train loss: 0.0160, val loss: 0.0473
Epoch 10, train loss: 0.0034, val loss: 0.0036
Epoch 20, train loss: 0.0025, val loss: 0.0026
Epoch 30, train loss: 0.0025, val loss: 0.0041
Epoch 40, train loss: 0.0024, val loss: 0.0059
Epoch 50, train loss: 0.0023, val loss: 0.0038
Inferred coeffs for Cameroon: [3.1630034 1.0016406 1.0590512]
Epoch 0, train loss: 0.0147, val loss: 0.1129
Epoch 10, train loss: 0.0096, val loss: 0.0137
Epoch 20, train loss: 0.0060, val loss: 0.0341
Epoch 30, train loss: 0.0075, val loss: 0.0105
Epoch 40, train loss: 0.0039, val loss: 0.0264
Epoch 0, train loss: 0.0147, val loss: 0.1129
Epoch 10, train loss: 0.0096, val loss: 0.0137
Epoch 20, train loss: 0.0060, val loss: 0.0341
Epoch 30, train loss: 0.0075, val loss: 0.0105
Epoch 40, train loss: 0.0039, val loss: 0.0264
Epoch 50, train loss: 0.0056, val loss: 0.0085
Epoch 60, train loss: 0.0043, val loss: 0.0237
Epoch 70, train loss: 0.0060, val loss: 0.0089
Epoch 80, train loss: 0.0027, val loss: 0.0186
Epoch 90, train loss: 0.0041, val loss: 0.0047
Epoch 0, train loss: 0.0147, val loss: 0.0382
Epoch 10, train loss: 0.0012, val loss: 0.0015
Epoch 20, train loss: 0.0015, val loss: 0.0062
Epoch 30, train loss: 0.0005, val loss: 0.0007
Epoch 40, train loss: 0.0006, val loss: 0.0016
Epoch 0, train loss: 0.0147, val loss: 0.0382
Epoch 10, train loss: 0.0012, val loss: 0.0015
Epoch 20, train loss: 0.0015, val loss: 0.0062
Epoch 30, train loss: 0.0005, val loss: 0.0007
Epoch 40, train loss: 0.0006, val loss: 0.0016
Epoch 50, train loss: 0.0004, val loss: 0.0015
Epoch 60, train loss: 0.0004, val loss: 0.0026
Inferred coeffs for Mali: [3.3661344 1.0008798 1.0032405]
Epoch 0, train loss: 0.0118, val loss: 0.0880
Epoch 10, train loss: 0.0124, val loss: 0.0144
Epoch 20, train loss: 0.0032, val loss: 0.0588
Epoch 30, train loss: 0.0034, val loss: 0.0162
Epoch 40, train loss: 0.0012, val loss: 0.0305
Epoch 0, train loss: 0.0118, val loss: 0.0880
Epoch 10, train loss: 0.0124, val loss: 0.0144
Epoch 20, train loss: 0.0032, val loss: 0.0588
Epoch 30, train loss: 0.0034, val loss: 0.0162
Epoch 40, train loss: 0.0012, val loss: 0.0305
Epoch 0, train loss: 0.0118, val loss: 0.0625
Epoch 10, train loss: 0.0023, val loss: 0.0442
Epoch 20, train loss: 0.0015, val loss: 0.0332
Epoch 30, train loss: 0.0014, val loss: 0.0318
Epoch 0, train loss: 0.0118, val loss: 0.0625
Epoch 10, train loss: 0.0023, val loss: 0.0442
Epoch 20, train loss: 0.0015, val loss: 0.0332
Epoch 30, train loss: 0.0014, val loss: 0.0318
Inferred coeffs for Spain: [3.2373064 1.0030696 1.0161154]
Epoch 0, train loss: 0.0177, val loss: 0.0895
Epoch 10, train loss: 0.0207, val loss: 0.0641
Epoch 20, train loss: 0.0068, val loss: 0.0082
Epoch 30, train loss: 0.0047, val loss: 0.0132
Epoch 40, train loss: 0.0029, val loss: 0.0205
Epoch 0, train loss: 0.0177, val loss: 0.0895
Epoch 10, train loss: 0.0207, val loss: 0.0641
Epoch 20, train loss: 0.0068, val loss: 0.0082
Epoch 30, train loss: 0.0047, val loss: 0.0132
Epoch 40, train loss: 0.0029, val loss: 0.0205
Epoch 50, train loss: 0.0038, val loss: 0.0050
Epoch 60, train loss: 0.0028, val loss: 0.0067
Epoch 0, train loss: 0.0177, val loss: 0.0615
Epoch 10, train loss: 0.0033, val loss: 0.0037
Epoch 20, train loss: 0.0025, val loss: 0.0048
Epoch 30, train loss: 0.0027, val loss: 0.0105
Epoch 40, train loss: 0.0022, val loss: 0.0058
Epoch 0, train loss: 0.0177, val loss: 0.0615
Epoch 10, train loss: 0.0033, val loss: 0.0037
Epoch 20, train loss: 0.0025, val loss: 0.0048
Epoch 30, train loss: 0.0027, val loss: 0.0105
Epoch 40, train loss: 0.0022, val loss: 0.0058
Epoch 50, train loss: 0.0022, val loss: 0.0050
Inferred coeffs for Morocco: [3.1593575 1.002761  1.0733118]
Epoch 0, train loss: 0.0134, val loss: 0.1102
Epoch 10, train loss: 0.0108, val loss: 0.0110
Epoch 20, train loss: 0.0048, val loss: 0.0369
Epoch 30, train loss: 0.0041, val loss: 0.0003
Epoch 40, train loss: 0.0036, val loss: 0.0110
Epoch 0, train loss: 0.0134, val loss: 0.1102
Epoch 10, train loss: 0.0108, val loss: 0.0110
Epoch 20, train loss: 0.0048, val loss: 0.0369
Epoch 30, train loss: 0.0041, val loss: 0.0003
Epoch 40, train loss: 0.0036, val loss: 0.0110
Epoch 50, train loss: 0.0031, val loss: 0.0067
Epoch 60, train loss: 0.0076, val loss: 0.0163
Epoch 0, train loss: 0.0134, val loss: 0.0409
Epoch 10, train loss: 0.0010, val loss: 0.0106
Epoch 20, train loss: 0.0026, val loss: 0.0042
Epoch 30, train loss: 0.0010, val loss: 0.0005
Epoch 40, train loss: 0.0011, val loss: 0.0002
Epoch 0, train loss: 0.0134, val loss: 0.0409
Epoch 10, train loss: 0.0010, val loss: 0.0106
Epoch 20, train loss: 0.0026, val loss: 0.0042
Epoch 30, train loss: 0.0010, val loss: 0.0005
Epoch 40, train loss: 0.0011, val loss: 0.0002
Epoch 50, train loss: 0.0011, val loss: 0.0016
Epoch 60, train loss: 0.0010, val loss: 0.0034
Epoch 70, train loss: 0.0010, val loss: 0.0051
Inferred coeffs for Guinea: [3.3653748 1.0010365 0.9941753]
Epoch 0, train loss: 0.0112, val loss: 0.1187
Epoch 10, train loss: 0.0130, val loss: 0.0195
Epoch 20, train loss: 0.0025, val loss: 0.0284
Epoch 30, train loss: 0.0006, val loss: 0.0131
Epoch 40, train loss: 0.0030, val loss: 0.0160
Epoch 0, train loss: 0.0112, val loss: 0.1187
Epoch 10, train loss: 0.0130, val loss: 0.0195
Epoch 20, train loss: 0.0025, val loss: 0.0284
Epoch 30, train loss: 0.0006, val loss: 0.0131
Epoch 40, train loss: 0.0030, val loss: 0.0160
Epoch 50, train loss: 0.0006, val loss: 0.0093
Epoch 60, train loss: 0.0022, val loss: 0.0021
Epoch 70, train loss: 0.0011, val loss: 0.0089
Epoch 80, train loss: 0.0017, val loss: 0.0004
Epoch 90, train loss: 0.0007, val loss: 0.0090
Epoch 0, train loss: 0.0112, val loss: 0.0324
Epoch 10, train loss: 0.0023, val loss: 0.0139
Epoch 20, train loss: 0.0013, val loss: 0.0093
Epoch 30, train loss: 0.0006, val loss: 0.0044
Epoch 40, train loss: 0.0006, val loss: 0.0043
Epoch 0, train loss: 0.0112, val loss: 0.0324
Epoch 10, train loss: 0.0023, val loss: 0.0139
Epoch 20, train loss: 0.0013, val loss: 0.0093
Epoch 30, train loss: 0.0006, val loss: 0.0044
Epoch 40, train loss: 0.0006, val loss: 0.0043
Inferred coeffs for Somalia: [2.9987702 1.0007322 1.0067053]
Epoch 0, train loss: 0.0117, val loss: 0.1176
Epoch 10, train loss: 0.0125, val loss: 0.0185
Epoch 20, train loss: 0.0030, val loss: 0.0295
Epoch 30, train loss: 0.0032, val loss: 0.0065
Epoch 40, train loss: 0.0035, val loss: 0.0076
Epoch 0, train loss: 0.0117, val loss: 0.1176
Epoch 10, train loss: 0.0125, val loss: 0.0185
Epoch 20, train loss: 0.0030, val loss: 0.0295
Epoch 30, train loss: 0.0032, val loss: 0.0065
Epoch 40, train loss: 0.0035, val loss: 0.0076
Epoch 50, train loss: 0.0010, val loss: 0.0068
Epoch 60, train loss: 0.0008, val loss: 0.0091
Epoch 70, train loss: 0.0012, val loss: 0.0031
Epoch 80, train loss: 0.0016, val loss: 0.0078
Epoch 0, train loss: 0.0117, val loss: 0.0334
Epoch 10, train loss: 0.0022, val loss: 0.0120
Epoch 20, train loss: 0.0012, val loss: 0.0082
Epoch 30, train loss: 0.0009, val loss: 0.0059
Epoch 40, train loss: 0.0007, val loss: 0.0036
Epoch 0, train loss: 0.0117, val loss: 0.0334
Epoch 10, train loss: 0.0022, val loss: 0.0120
Epoch 20, train loss: 0.0012, val loss: 0.0082
Epoch 30, train loss: 0.0009, val loss: 0.0059
Epoch 40, train loss: 0.0007, val loss: 0.0036
Inferred coeffs for Egypt: [3.3743675 1.0005778 1.003578 ]
Epoch 0, train loss: 0.0160, val loss: 0.1134
Epoch 10, train loss: 0.0084, val loss: 0.0152
Epoch 20, train loss: 0.0047, val loss: 0.0233
Epoch 30, train loss: 0.0055, val loss: 0.0028
Epoch 40, train loss: 0.0043, val loss: 0.0159
Epoch 0, train loss: 0.0160, val loss: 0.1134
Epoch 10, train loss: 0.0084, val loss: 0.0152
Epoch 20, train loss: 0.0047, val loss: 0.0233
Epoch 30, train loss: 0.0055, val loss: 0.0028
Epoch 40, train loss: 0.0043, val loss: 0.0159
Epoch 50, train loss: 0.0026, val loss: 0.0153
Epoch 0, train loss: 0.0160, val loss: 0.0377
Epoch 10, train loss: 0.0012, val loss: 0.0042
Epoch 20, train loss: 0.0020, val loss: 0.0141
Epoch 30, train loss: 0.0012, val loss: 0.0127
Epoch 40, train loss: 0.0010, val loss: 0.0098
Epoch 0, train loss: 0.0160, val loss: 0.0377
Epoch 10, train loss: 0.0012, val loss: 0.0042
Epoch 20, train loss: 0.0020, val loss: 0.0141
Epoch 30, train loss: 0.0012, val loss: 0.0127
Epoch 40, train loss: 0.0010, val loss: 0.0098
Inferred coeffs for Albania: [3.205431   1.0009352  0.98696154]
Epoch 0, train loss: 0.0182, val loss: 0.1081
Epoch 10, train loss: 0.0152, val loss: 0.0565
Epoch 20, train loss: 0.0152, val loss: 0.0541
Epoch 30, train loss: 0.0109, val loss: 0.0391
Epoch 40, train loss: 0.0024, val loss: 0.0033
Epoch 0, train loss: 0.0182, val loss: 0.1081
Epoch 10, train loss: 0.0152, val loss: 0.0565
Epoch 20, train loss: 0.0152, val loss: 0.0541
Epoch 30, train loss: 0.0109, val loss: 0.0391
Epoch 40, train loss: 0.0024, val loss: 0.0033
Epoch 50, train loss: 0.0013, val loss: 0.0201
Epoch 60, train loss: 0.0013, val loss: 0.0155
Epoch 70, train loss: 0.0013, val loss: 0.0131
Epoch 80, train loss: 0.0013, val loss: 0.0113
Epoch 0, train loss: 0.0182, val loss: 0.0429
Epoch 10, train loss: 0.0034, val loss: 0.0179
Epoch 20, train loss: 0.0018, val loss: 0.0202
Epoch 30, train loss: 0.0020, val loss: 0.0061
Epoch 40, train loss: 0.0015, val loss: 0.0099
Epoch 0, train loss: 0.0182, val loss: 0.0429
Epoch 10, train loss: 0.0034, val loss: 0.0179
Epoch 20, train loss: 0.0018, val loss: 0.0202
Epoch 30, train loss: 0.0020, val loss: 0.0061
Epoch 40, train loss: 0.0015, val loss: 0.0099
Inferred coeffs for Bulgaria: [3.041915  1.001567  1.0015347]
Epoch 0, train loss: 0.0172, val loss: 0.1073
Epoch 10, train loss: 0.0071, val loss: 0.0082
Epoch 20, train loss: 0.0011, val loss: 0.0111
Epoch 30, train loss: 0.0020, val loss: 0.0020
Epoch 40, train loss: 0.0022, val loss: 0.0127
Epoch 0, train loss: 0.0172, val loss: 0.1073
Epoch 10, train loss: 0.0071, val loss: 0.0082
Epoch 20, train loss: 0.0011, val loss: 0.0111
Epoch 30, train loss: 0.0020, val loss: 0.0020
Epoch 40, train loss: 0.0022, val loss: 0.0127
Epoch 50, train loss: 0.0009, val loss: 0.0027
Epoch 60, train loss: 0.0016, val loss: 0.0104
Epoch 70, train loss: 0.0015, val loss: 0.0011
Epoch 80, train loss: 0.0023, val loss: 0.0117
Epoch 90, train loss: 0.0009, val loss: 0.0121
Epoch 0, train loss: 0.0172, val loss: 0.0437
Epoch 10, train loss: 0.0030, val loss: 0.0105
Epoch 20, train loss: 0.0020, val loss: 0.0145
Epoch 30, train loss: 0.0011, val loss: 0.0111
Epoch 40, train loss: 0.0009, val loss: 0.0085
Epoch 0, train loss: 0.0172, val loss: 0.0437
Epoch 10, train loss: 0.0030, val loss: 0.0105
Epoch 20, train loss: 0.0020, val loss: 0.0145
Epoch 30, train loss: 0.0011, val loss: 0.0111
Epoch 40, train loss: 0.0009, val loss: 0.0085
Epoch 50, train loss: 0.0006, val loss: 0.0052
Inferred coeffs for Cyprus: [3.112598  1.0015243 1.0095632]
Epoch 0, train loss: 0.0155, val loss: 0.0978
Epoch 10, train loss: 0.0087, val loss: 0.0013
Epoch 20, train loss: 0.0024, val loss: 0.0037
Epoch 30, train loss: 0.0028, val loss: 0.0094
Epoch 40, train loss: 0.0027, val loss: 0.0144
Epoch 0, train loss: 0.0155, val loss: 0.0978
Epoch 10, train loss: 0.0087, val loss: 0.0013
Epoch 20, train loss: 0.0024, val loss: 0.0037
Epoch 30, train loss: 0.0028, val loss: 0.0094
Epoch 40, train loss: 0.0027, val loss: 0.0144
Epoch 50, train loss: 0.0023, val loss: 0.0093
Epoch 60, train loss: 0.0022, val loss: 0.0075
Epoch 70, train loss: 0.0022, val loss: 0.0053
Epoch 0, train loss: 0.0155, val loss: 0.0532
Epoch 10, train loss: 0.0024, val loss: 0.0082
Epoch 20, train loss: 0.0022, val loss: 0.0028
Epoch 30, train loss: 0.0025, val loss: 0.0114
Epoch 0, train loss: 0.0155, val loss: 0.0532
Epoch 10, train loss: 0.0024, val loss: 0.0082
Epoch 20, train loss: 0.0022, val loss: 0.0028
Epoch 30, train loss: 0.0025, val loss: 0.0114
Inferred coeffs for Croatia: [3.194068  1.0020611 1.129793 ]
Epoch 0, train loss: 0.0224, val loss: 0.0814
Epoch 10, train loss: 0.0088, val loss: 0.0122
Epoch 20, train loss: 0.0078, val loss: 0.0457
Epoch 30, train loss: 0.0052, val loss: 0.0249
Epoch 40, train loss: 0.0063, val loss: 0.0080
Epoch 0, train loss: 0.0224, val loss: 0.0814
Epoch 10, train loss: 0.0088, val loss: 0.0122
Epoch 20, train loss: 0.0078, val loss: 0.0457
Epoch 30, train loss: 0.0052, val loss: 0.0249
Epoch 40, train loss: 0.0063, val loss: 0.0080
Epoch 50, train loss: 0.0013, val loss: 0.0078
Epoch 0, train loss: 0.0224, val loss: 0.0694
Epoch 10, train loss: 0.0068, val loss: 0.0239
Epoch 20, train loss: 0.0026, val loss: 0.0022
Epoch 30, train loss: 0.0024, val loss: 0.0031
Epoch 40, train loss: 0.0017, val loss: 0.0022
Epoch 0, train loss: 0.0224, val loss: 0.0694
Epoch 10, train loss: 0.0068, val loss: 0.0239
Epoch 20, train loss: 0.0026, val loss: 0.0022
Epoch 30, train loss: 0.0024, val loss: 0.0031
Epoch 40, train loss: 0.0017, val loss: 0.0022
Epoch 50, train loss: 0.0012, val loss: 0.0055
Inferred coeffs for Greece: [3.3737843 1.0027276 1.0065093]
Epoch 0, train loss: 0.0176, val loss: 0.0929
Epoch 10, train loss: 0.0066, val loss: 0.0063
Epoch 20, train loss: 0.0048, val loss: 0.0042
Epoch 30, train loss: 0.0032, val loss: 0.0065
Epoch 40, train loss: 0.0044, val loss: 0.0133
Epoch 0, train loss: 0.0176, val loss: 0.0929
Epoch 10, train loss: 0.0066, val loss: 0.0063
Epoch 20, train loss: 0.0048, val loss: 0.0042
Epoch 30, train loss: 0.0032, val loss: 0.0065
Epoch 40, train loss: 0.0044, val loss: 0.0133
Epoch 50, train loss: 0.0051, val loss: 0.0156
Epoch 0, train loss: 0.0176, val loss: 0.0581
Epoch 10, train loss: 0.0046, val loss: 0.0051
Epoch 20, train loss: 0.0014, val loss: 0.0019
Epoch 30, train loss: 0.0014, val loss: 0.0039
Epoch 40, train loss: 0.0011, val loss: 0.0016
Epoch 0, train loss: 0.0176, val loss: 0.0581
Epoch 10, train loss: 0.0046, val loss: 0.0051
Epoch 20, train loss: 0.0014, val loss: 0.0019
Epoch 30, train loss: 0.0014, val loss: 0.0039
Epoch 40, train loss: 0.0011, val loss: 0.0016
Epoch 50, train loss: 0.0013, val loss: 0.0033
Inferred coeffs for Hungary: [3.2279563 1.0024024 1.0201778]
Epoch 0, train loss: 0.0273, val loss: 0.1007
Epoch 10, train loss: 0.0154, val loss: 0.1304
Epoch 20, train loss: 0.0137, val loss: 0.1367
Epoch 30, train loss: 0.0129, val loss: 0.1533
Epoch 0, train loss: 0.0273, val loss: 0.1007
Epoch 10, train loss: 0.0154, val loss: 0.1304
Epoch 20, train loss: 0.0137, val loss: 0.1367
Epoch 30, train loss: 0.0129, val loss: 0.1533
Epoch 0, train loss: 0.0273, val loss: 0.2509
Epoch 10, train loss: 0.0138, val loss: 0.1306
Epoch 20, train loss: 0.0133, val loss: 0.1537
Epoch 30, train loss: 0.0132, val loss: 0.1844
Epoch 40, train loss: 0.0129, val loss: 0.1660
Epoch 0, train loss: 0.0273, val loss: 0.2509
Epoch 10, train loss: 0.0138, val loss: 0.1306
Epoch 20, train loss: 0.0133, val loss: 0.1537
Epoch 30, train loss: 0.0132, val loss: 0.1844
Epoch 40, train loss: 0.0129, val loss: 0.1660
Inferred coeffs for Italy: [3.3650465 1.0092003 1.0141416]
Epoch 0, train loss: 0.0246, val loss: 0.0938
Epoch 10, train loss: 0.0080, val loss: 0.0114
Epoch 20, train loss: 0.0044, val loss: 0.0228
Epoch 30, train loss: 0.0026, val loss: 0.0285
Epoch 40, train loss: 0.0026, val loss: 0.0198
Epoch 0, train loss: 0.0246, val loss: 0.0938
Epoch 10, train loss: 0.0080, val loss: 0.0114
Epoch 20, train loss: 0.0044, val loss: 0.0228
Epoch 30, train loss: 0.0026, val loss: 0.0285
Epoch 40, train loss: 0.0026, val loss: 0.0198
Epoch 0, train loss: 0.0246, val loss: 0.0573
Epoch 10, train loss: 0.0075, val loss: 0.0493
Epoch 20, train loss: 0.0044, val loss: 0.0081
Epoch 30, train loss: 0.0033, val loss: 0.0279
Epoch 40, train loss: 0.0029, val loss: 0.0187
Epoch 0, train loss: 0.0246, val loss: 0.0573
Epoch 10, train loss: 0.0075, val loss: 0.0493
Epoch 20, train loss: 0.0044, val loss: 0.0081
Epoch 30, train loss: 0.0033, val loss: 0.0279
Epoch 40, train loss: 0.0029, val loss: 0.0187
Inferred coeffs for Slovenia: [3.2786753  1.0021629  0.98894775]
Epoch 0, train loss: 0.0224, val loss: 0.0057
Epoch 10, train loss: 0.0113, val loss: 0.0765
Epoch 20, train loss: 0.0081, val loss: 0.1151
Epoch 30, train loss: 0.0079, val loss: 0.0961
Epoch 0, train loss: 0.0224, val loss: 0.0057
Epoch 10, train loss: 0.0113, val loss: 0.0765
Epoch 20, train loss: 0.0081, val loss: 0.1151
Epoch 30, train loss: 0.0079, val loss: 0.0961
Epoch 0, train loss: 0.0224, val loss: 0.1526
Epoch 10, train loss: 0.0104, val loss: 0.0575
Epoch 20, train loss: 0.0079, val loss: 0.1070
Epoch 30, train loss: 0.0076, val loss: 0.0863
Epoch 0, train loss: 0.0224, val loss: 0.1526
Epoch 10, train loss: 0.0104, val loss: 0.0575
Epoch 20, train loss: 0.0079, val loss: 0.1070
Epoch 30, train loss: 0.0076, val loss: 0.0863
Inferred coeffs for Israel: [3.3746777 1.0076108 1.0099906]
Epoch 0, train loss: 0.0798, val loss: 0.1964
Epoch 10, train loss: 0.0325, val loss: 0.1248
Epoch 20, train loss: 0.0243, val loss: 0.0237
Epoch 30, train loss: 0.0251, val loss: 0.0361
Epoch 40, train loss: 0.0241, val loss: 0.0170
Epoch 0, train loss: 0.0798, val loss: 0.1964
Epoch 10, train loss: 0.0325, val loss: 0.1248
Epoch 20, train loss: 0.0243, val loss: 0.0237
Epoch 30, train loss: 0.0251, val loss: 0.0361
Epoch 40, train loss: 0.0241, val loss: 0.0170
Epoch 0, train loss: 0.0798, val loss: 0.3473
Epoch 10, train loss: 0.0431, val loss: 0.1818
Epoch 20, train loss: 0.0262, val loss: 0.0410
Epoch 30, train loss: 0.0247, val loss: 0.0386
Epoch 40, train loss: 0.0242, val loss: 0.0204
Epoch 0, train loss: 0.0798, val loss: 0.3473
Epoch 10, train loss: 0.0431, val loss: 0.1818
Epoch 20, train loss: 0.0262, val loss: 0.0410
Epoch 30, train loss: 0.0247, val loss: 0.0386
Epoch 40, train loss: 0.0242, val loss: 0.0204
Epoch 50, train loss: 0.0240, val loss: 0.0164
Epoch 60, train loss: 0.0238, val loss: 0.0153
Epoch 70, train loss: 0.0238, val loss: 0.0161
Epoch 80, train loss: 0.0237, val loss: 0.0155
Inferred coeffs for Austria: [3.3473535 1.0200604 1.0832137]
Epoch 0, train loss: 0.0986, val loss: 0.2675
Epoch 10, train loss: 0.0346, val loss: 0.1151
Epoch 20, train loss: 0.0252, val loss: 0.0357
Epoch 30, train loss: 0.0238, val loss: 0.0053
Epoch 40, train loss: 0.0238, val loss: 0.0061
Epoch 0, train loss: 0.0986, val loss: 0.2675
Epoch 10, train loss: 0.0346, val loss: 0.1151
Epoch 20, train loss: 0.0252, val loss: 0.0357
Epoch 30, train loss: 0.0238, val loss: 0.0053
Epoch 40, train loss: 0.0238, val loss: 0.0061
Epoch 50, train loss: 0.0235, val loss: 0.0049
Epoch 60, train loss: 0.0231, val loss: 0.0208
Epoch 70, train loss: 0.0228, val loss: 0.0131
Epoch 80, train loss: 0.0226, val loss: 0.0152
Epoch 0, train loss: 0.0986, val loss: 0.4185
Epoch 10, train loss: 0.0599, val loss: 0.2516
Epoch 20, train loss: 0.0341, val loss: 0.0984
Epoch 30, train loss: 0.0233, val loss: 0.0212
Epoch 40, train loss: 0.0239, val loss: 0.0241
Epoch 0, train loss: 0.0986, val loss: 0.4185
Epoch 10, train loss: 0.0599, val loss: 0.2516
Epoch 20, train loss: 0.0341, val loss: 0.0984
Epoch 30, train loss: 0.0233, val loss: 0.0212
Epoch 40, train loss: 0.0239, val loss: 0.0241
Epoch 50, train loss: 0.0240, val loss: 0.0066
Epoch 60, train loss: 0.0232, val loss: 0.0168
Epoch 70, train loss: 0.0232, val loss: 0.0115
Epoch 80, train loss: 0.0231, val loss: 0.0153
Inferred coeffs for Portugal: [3.4074235 1.0235683 1.0362277]
Epoch 0, train loss: 0.0173, val loss: 0.1001
Epoch 10, train loss: 0.0069, val loss: 0.0011
Epoch 20, train loss: 0.0046, val loss: 0.0012
Epoch 30, train loss: 0.0047, val loss: 0.0036
Epoch 40, train loss: 0.0034, val loss: 0.0089
Epoch 0, train loss: 0.0173, val loss: 0.1001
Epoch 10, train loss: 0.0069, val loss: 0.0011
Epoch 20, train loss: 0.0046, val loss: 0.0012
Epoch 30, train loss: 0.0047, val loss: 0.0036
Epoch 40, train loss: 0.0034, val loss: 0.0089
Epoch 0, train loss: 0.0173, val loss: 0.0510
Epoch 10, train loss: 0.0042, val loss: 0.0093
Epoch 20, train loss: 0.0012, val loss: 0.0079
Epoch 30, train loss: 0.0014, val loss: 0.0028
Epoch 40, train loss: 0.0012, val loss: 0.0038
Epoch 0, train loss: 0.0173, val loss: 0.0510
Epoch 10, train loss: 0.0042, val loss: 0.0093
Epoch 20, train loss: 0.0012, val loss: 0.0079
Epoch 30, train loss: 0.0014, val loss: 0.0028
Epoch 40, train loss: 0.0012, val loss: 0.0038
Epoch 50, train loss: 0.0013, val loss: 0.0046
Inferred coeffs for Bosnia and Herzegovina: [3.3711436 1.0016484 1.0060089]
Epoch 0, train loss: 0.0245, val loss: 0.0309
Epoch 10, train loss: 0.0083, val loss: 0.0779
Epoch 20, train loss: 0.0076, val loss: 0.0502
Epoch 30, train loss: 0.0063, val loss: 0.0307
Epoch 0, train loss: 0.0245, val loss: 0.0309
Epoch 10, train loss: 0.0083, val loss: 0.0779
Epoch 20, train loss: 0.0076, val loss: 0.0502
Epoch 30, train loss: 0.0063, val loss: 0.0307
Epoch 0, train loss: 0.0245, val loss: 0.1202
Epoch 10, train loss: 0.0096, val loss: 0.0056
Epoch 20, train loss: 0.0068, val loss: 0.0544
Epoch 30, train loss: 0.0062, val loss: 0.0358
Epoch 0, train loss: 0.0245, val loss: 0.1202
Epoch 10, train loss: 0.0096, val loss: 0.0056
Epoch 20, train loss: 0.0068, val loss: 0.0544
Epoch 30, train loss: 0.0062, val loss: 0.0358
Inferred coeffs for Romania: [3.3351417 1.0058323 0.9858032]
Epoch 0, train loss: 0.1380, val loss: 0.4252
Epoch 10, train loss: 0.0339, val loss: 0.0349
Epoch 20, train loss: 0.0358, val loss: 0.0273
Epoch 30, train loss: 0.0376, val loss: 0.0221
Epoch 40, train loss: 0.0346, val loss: 0.0157
Epoch 0, train loss: 0.1380, val loss: 0.4252
Epoch 10, train loss: 0.0339, val loss: 0.0349
Epoch 20, train loss: 0.0358, val loss: 0.0273
Epoch 30, train loss: 0.0376, val loss: 0.0221
Epoch 40, train loss: 0.0346, val loss: 0.0157
Epoch 50, train loss: 0.0339, val loss: 0.0215
Epoch 60, train loss: 0.0334, val loss: 0.0318
Epoch 0, train loss: 0.1380, val loss: 0.5763
Epoch 10, train loss: 0.0970, val loss: 0.4082
Epoch 20, train loss: 0.0664, val loss: 0.2505
Epoch 30, train loss: 0.0471, val loss: 0.1147
Epoch 40, train loss: 0.0358, val loss: 0.0152
Epoch 0, train loss: 0.1380, val loss: 0.5763
Epoch 10, train loss: 0.0970, val loss: 0.4082
Epoch 20, train loss: 0.0664, val loss: 0.2505
Epoch 30, train loss: 0.0471, val loss: 0.1147
Epoch 40, train loss: 0.0358, val loss: 0.0152
Epoch 50, train loss: 0.0345, val loss: 0.0575
Epoch 60, train loss: 0.0332, val loss: 0.0300
Epoch 70, train loss: 0.0334, val loss: 0.0246
Inferred coeffs for Switzerland: [3.3630166 1.0350049 1.2994279]
Epoch 0, train loss: 0.5546, val loss: 2.1875
Epoch 10, train loss: 0.2296, val loss: 0.9772
Epoch 20, train loss: 0.1696, val loss: 0.5100
Epoch 30, train loss: 0.1792, val loss: 0.4512
Epoch 40, train loss: 0.1663, val loss: 0.5765
Epoch 0, train loss: 0.5546, val loss: 2.1875
Epoch 10, train loss: 0.2296, val loss: 0.9772
Epoch 20, train loss: 0.1696, val loss: 0.5100
Epoch 30, train loss: 0.1792, val loss: 0.4512
Epoch 40, train loss: 0.1663, val loss: 0.5765
Epoch 50, train loss: 0.1640, val loss: 0.6610
Epoch 0, train loss: 0.5546, val loss: 2.3384
Epoch 10, train loss: 0.5125, val loss: 2.1699
Epoch 20, train loss: 0.4721, val loss: 2.0046
Epoch 30, train loss: 0.4329, val loss: 1.8464
Epoch 40, train loss: 0.3969, val loss: 1.7001
Epoch 0, train loss: 0.5546, val loss: 2.3384
Epoch 10, train loss: 0.5125, val loss: 2.1699
Epoch 20, train loss: 0.4721, val loss: 2.0046
Epoch 30, train loss: 0.4329, val loss: 1.8464
Epoch 40, train loss: 0.3969, val loss: 1.7001
Epoch 50, train loss: 0.3643, val loss: 1.5681
Epoch 60, train loss: 0.3343, val loss: 1.4488
Epoch 70, train loss: 0.3060, val loss: 1.3405
Epoch 80, train loss: 0.2802, val loss: 1.2422
Epoch 90, train loss: 0.2571, val loss: 1.1538
Inferred coeffs for Turkey: [3.5826225 1.180933  1.1788738]
Epoch 0, train loss: 0.0223, val loss: 0.0709
Epoch 10, train loss: 0.0070, val loss: 0.0443
Epoch 20, train loss: 0.0032, val loss: 0.0065
Epoch 30, train loss: 0.0031, val loss: 0.0023
Epoch 40, train loss: 0.0037, val loss: 0.0047
Epoch 0, train loss: 0.0223, val loss: 0.0709
Epoch 10, train loss: 0.0070, val loss: 0.0443
Epoch 20, train loss: 0.0032, val loss: 0.0065
Epoch 30, train loss: 0.0031, val loss: 0.0023
Epoch 40, train loss: 0.0037, val loss: 0.0047
Epoch 50, train loss: 0.0036, val loss: 0.0056
Epoch 60, train loss: 0.0037, val loss: 0.0068
Epoch 0, train loss: 0.0223, val loss: 0.0801
Epoch 10, train loss: 0.0065, val loss: 0.0114
Epoch 20, train loss: 0.0045, val loss: 0.0201
Epoch 30, train loss: 0.0030, val loss: 0.0036
Epoch 40, train loss: 0.0030, val loss: 0.0020
Epoch 0, train loss: 0.0223, val loss: 0.0801
Epoch 10, train loss: 0.0065, val loss: 0.0114
Epoch 20, train loss: 0.0045, val loss: 0.0201
Epoch 30, train loss: 0.0030, val loss: 0.0036
Epoch 40, train loss: 0.0030, val loss: 0.0020
Epoch 50, train loss: 0.0031, val loss: 0.0046
Inferred coeffs for Moldova: [3.2729495 1.003669  0.915606 ]
Epoch 0, train loss: 0.0320, val loss: 0.0158
Epoch 10, train loss: 0.0094, val loss: 0.0663
Epoch 20, train loss: 0.0060, val loss: 0.0022
Epoch 30, train loss: 0.0064, val loss: 0.0084
Epoch 40, train loss: 0.0060, val loss: 0.0223
Epoch 0, train loss: 0.0320, val loss: 0.0158
Epoch 10, train loss: 0.0094, val loss: 0.0663
Epoch 20, train loss: 0.0060, val loss: 0.0022
Epoch 30, train loss: 0.0064, val loss: 0.0084
Epoch 40, train loss: 0.0060, val loss: 0.0223
Epoch 0, train loss: 0.0320, val loss: 0.1353
Epoch 10, train loss: 0.0081, val loss: 0.0117
Epoch 20, train loss: 0.0061, val loss: 0.0325
Epoch 30, train loss: 0.0061, val loss: 0.0231
Epoch 40, train loss: 0.0060, val loss: 0.0102
Epoch 0, train loss: 0.0320, val loss: 0.1353
Epoch 10, train loss: 0.0081, val loss: 0.0117
Epoch 20, train loss: 0.0061, val loss: 0.0325
Epoch 30, train loss: 0.0061, val loss: 0.0231
Epoch 40, train loss: 0.0060, val loss: 0.0102
Inferred coeffs for Serbia: [3.3152137 1.0070053 1.0445211]
Epoch 0, train loss: 0.0176, val loss: 0.1054
Epoch 10, train loss: 0.0074, val loss: 0.0102
Epoch 20, train loss: 0.0029, val loss: 0.0183
Epoch 30, train loss: 0.0022, val loss: 0.0180
Epoch 40, train loss: 0.0039, val loss: 0.0011
Epoch 0, train loss: 0.0176, val loss: 0.1054
Epoch 10, train loss: 0.0074, val loss: 0.0102
Epoch 20, train loss: 0.0029, val loss: 0.0183
Epoch 30, train loss: 0.0022, val loss: 0.0180
Epoch 40, train loss: 0.0039, val loss: 0.0011
Epoch 50, train loss: 0.0012, val loss: 0.0101
Epoch 60, train loss: 0.0021, val loss: 0.0177
Epoch 70, train loss: 0.0045, val loss: 0.0050
Epoch 0, train loss: 0.0176, val loss: 0.0457
Epoch 10, train loss: 0.0032, val loss: 0.0116
Epoch 20, train loss: 0.0018, val loss: 0.0136
Epoch 30, train loss: 0.0011, val loss: 0.0108
Epoch 40, train loss: 0.0009, val loss: 0.0080
Epoch 0, train loss: 0.0176, val loss: 0.0457
Epoch 10, train loss: 0.0032, val loss: 0.0116
Epoch 20, train loss: 0.0018, val loss: 0.0136
Epoch 30, train loss: 0.0011, val loss: 0.0108
Epoch 40, train loss: 0.0009, val loss: 0.0080
Epoch 50, train loss: 0.0007, val loss: 0.0051
Inferred coeffs for Slovakia: [3.369791  1.0013468 0.9969105]
Epoch 0, train loss: 0.0214, val loss: 0.0682
Epoch 10, train loss: 0.0064, val loss: 0.0386
Epoch 20, train loss: 0.0044, val loss: 0.0180
Epoch 30, train loss: 0.0045, val loss: 0.0199
Epoch 40, train loss: 0.0045, val loss: 0.0028
Epoch 0, train loss: 0.0214, val loss: 0.0682
Epoch 10, train loss: 0.0064, val loss: 0.0386
Epoch 20, train loss: 0.0044, val loss: 0.0180
Epoch 30, train loss: 0.0045, val loss: 0.0199
Epoch 40, train loss: 0.0045, val loss: 0.0028
Epoch 50, train loss: 0.0049, val loss: 0.0165
Epoch 60, train loss: 0.0047, val loss: 0.0092
Epoch 70, train loss: 0.0047, val loss: 0.0025
Epoch 80, train loss: 0.0044, val loss: 0.0058
Epoch 90, train loss: 0.0044, val loss: 0.0060
Epoch 0, train loss: 0.0214, val loss: 0.0829
Epoch 10, train loss: 0.0077, val loss: 0.0096
Epoch 20, train loss: 0.0055, val loss: 0.0226
Epoch 30, train loss: 0.0047, val loss: 0.0006
Epoch 40, train loss: 0.0044, val loss: 0.0078
Epoch 0, train loss: 0.0214, val loss: 0.0829
Epoch 10, train loss: 0.0077, val loss: 0.0096
Epoch 20, train loss: 0.0055, val loss: 0.0226
Epoch 30, train loss: 0.0047, val loss: 0.0006
Epoch 40, train loss: 0.0044, val loss: 0.0078
Epoch 50, train loss: 0.0043, val loss: 0.0080
Epoch 60, train loss: 0.0043, val loss: 0.0044
Inferred coeffs for Dominican Republic: [3.3740695 1.0035293 1.0157161]
Epoch 0, train loss: 0.0123, val loss: 0.1192
Epoch 10, train loss: 0.0119, val loss: 0.0200
Epoch 20, train loss: 0.0037, val loss: 0.0279
Epoch 30, train loss: 0.0053, val loss: 0.0047
Epoch 40, train loss: 0.0058, val loss: 0.0313
Epoch 0, train loss: 0.0123, val loss: 0.1192
Epoch 10, train loss: 0.0119, val loss: 0.0200
Epoch 20, train loss: 0.0037, val loss: 0.0279
Epoch 30, train loss: 0.0053, val loss: 0.0047
Epoch 40, train loss: 0.0058, val loss: 0.0313
Epoch 50, train loss: 0.0074, val loss: 0.0125
Epoch 60, train loss: 0.0028, val loss: 0.0205
Epoch 0, train loss: 0.0123, val loss: 0.0319
Epoch 10, train loss: 0.0020, val loss: 0.0062
Epoch 20, train loss: 0.0014, val loss: 0.0043
Epoch 30, train loss: 0.0003, val loss: 0.0017
Epoch 40, train loss: 0.0002, val loss: 0.0003
Epoch 0, train loss: 0.0123, val loss: 0.0319
Epoch 10, train loss: 0.0020, val loss: 0.0062
Epoch 20, train loss: 0.0014, val loss: 0.0043
Epoch 30, train loss: 0.0003, val loss: 0.0017
Epoch 40, train loss: 0.0002, val loss: 0.0003
Epoch 50, train loss: 0.0002, val loss: 0.0009
Epoch 60, train loss: 0.0002, val loss: 0.0009
Epoch 70, train loss: 0.0002, val loss: 0.0016
Inferred coeffs for Guatemala: [3.3648896 1.0004958 0.9965453]
Epoch 0, train loss: 0.0147, val loss: 0.1151
Epoch 10, train loss: 0.0095, val loss: 0.0160
Epoch 20, train loss: 0.0061, val loss: 0.0320
Epoch 30, train loss: 0.0080, val loss: 0.0098
Epoch 40, train loss: 0.0028, val loss: 0.0250
Epoch 0, train loss: 0.0147, val loss: 0.1151
Epoch 10, train loss: 0.0095, val loss: 0.0160
Epoch 20, train loss: 0.0061, val loss: 0.0320
Epoch 30, train loss: 0.0080, val loss: 0.0098
Epoch 40, train loss: 0.0028, val loss: 0.0250
Epoch 50, train loss: 0.0050, val loss: 0.0052
Epoch 60, train loss: 0.0030, val loss: 0.0091
Epoch 70, train loss: 0.0010, val loss: 0.0151
Epoch 80, train loss: 0.0019, val loss: 0.0094
Epoch 90, train loss: 0.0014, val loss: 0.0036
Epoch 0, train loss: 0.0147, val loss: 0.0359
Epoch 10, train loss: 0.0008, val loss: 0.0007
Epoch 20, train loss: 0.0019, val loss: 0.0099
Epoch 30, train loss: 0.0012, val loss: 0.0083
Epoch 40, train loss: 0.0009, val loss: 0.0061
Epoch 0, train loss: 0.0147, val loss: 0.0359
Epoch 10, train loss: 0.0008, val loss: 0.0007
Epoch 20, train loss: 0.0019, val loss: 0.0099
Epoch 30, train loss: 0.0012, val loss: 0.0083
Epoch 40, train loss: 0.0009, val loss: 0.0061
Epoch 50, train loss: 0.0008, val loss: 0.0056
Inferred coeffs for Honduras: [2.9365351 1.0011046 1.0130821]
Epoch 0, train loss: 0.0207, val loss: 0.0608
Epoch 10, train loss: 0.0069, val loss: 0.0719
Epoch 20, train loss: 0.0051, val loss: 0.0177
Epoch 30, train loss: 0.0050, val loss: 0.0257
Epoch 40, train loss: 0.0047, val loss: 0.0286
Epoch 0, train loss: 0.0207, val loss: 0.0608
Epoch 10, train loss: 0.0069, val loss: 0.0719
Epoch 20, train loss: 0.0051, val loss: 0.0177
Epoch 30, train loss: 0.0050, val loss: 0.0257
Epoch 40, train loss: 0.0047, val loss: 0.0286
Epoch 50, train loss: 0.0041, val loss: 0.0124
Epoch 0, train loss: 0.0207, val loss: 0.0902
Epoch 10, train loss: 0.0072, val loss: 0.0037
Epoch 20, train loss: 0.0050, val loss: 0.0350
Epoch 30, train loss: 0.0041, val loss: 0.0133
Epoch 0, train loss: 0.0207, val loss: 0.0902
Epoch 10, train loss: 0.0072, val loss: 0.0037
Epoch 20, train loss: 0.0050, val loss: 0.0350
Epoch 30, train loss: 0.0041, val loss: 0.0133
Inferred coeffs for Mexico: [3.3807507 1.0040015 1.0069654]
Epoch 0, train loss: 0.0428, val loss: 0.0155
Epoch 10, train loss: 0.0077, val loss: 0.0448
Epoch 20, train loss: 0.0057, val loss: 0.0241
Epoch 30, train loss: 0.0052, val loss: 0.0207
Epoch 40, train loss: 0.0040, val loss: 0.0164
Epoch 0, train loss: 0.0428, val loss: 0.0155
Epoch 10, train loss: 0.0077, val loss: 0.0448
Epoch 20, train loss: 0.0057, val loss: 0.0241
Epoch 30, train loss: 0.0052, val loss: 0.0207
Epoch 40, train loss: 0.0040, val loss: 0.0164
Epoch 50, train loss: 0.0042, val loss: 0.0135
Epoch 0, train loss: 0.0428, val loss: 0.1356
Epoch 10, train loss: 0.0028, val loss: 0.0318
Epoch 20, train loss: 0.0041, val loss: 0.0226
Epoch 30, train loss: 0.0031, val loss: 0.0196
Epoch 0, train loss: 0.0428, val loss: 0.1356
Epoch 10, train loss: 0.0028, val loss: 0.0318
Epoch 20, train loss: 0.0041, val loss: 0.0226
Epoch 30, train loss: 0.0031, val loss: 0.0196
Inferred coeffs for Panama: [3.2910788 1.0072378 0.9819348]
Epoch 0, train loss: 0.0165, val loss: 0.1102
Epoch 10, train loss: 0.0077, val loss: 0.0111
Epoch 20, train loss: 0.0010, val loss: 0.0214
Epoch 30, train loss: 0.0083, val loss: 0.0183
Epoch 40, train loss: 0.0013, val loss: 0.0260
Epoch 0, train loss: 0.0165, val loss: 0.1102
Epoch 10, train loss: 0.0077, val loss: 0.0111
Epoch 20, train loss: 0.0010, val loss: 0.0214
Epoch 30, train loss: 0.0083, val loss: 0.0183
Epoch 40, train loss: 0.0013, val loss: 0.0260
Epoch 50, train loss: 0.0047, val loss: 0.0200
Epoch 60, train loss: 0.0017, val loss: 0.0134
Epoch 70, train loss: 0.0016, val loss: 0.0065
Epoch 80, train loss: 0.0009, val loss: 0.0094
Epoch 90, train loss: 0.0010, val loss: 0.0057
Epoch 0, train loss: 0.0165, val loss: 0.0408
Epoch 10, train loss: 0.0022, val loss: 0.0076
Epoch 20, train loss: 0.0022, val loss: 0.0159
Epoch 30, train loss: 0.0011, val loss: 0.0113
Epoch 40, train loss: 0.0010, val loss: 0.0085
Epoch 0, train loss: 0.0165, val loss: 0.0408
Epoch 10, train loss: 0.0022, val loss: 0.0076
Epoch 20, train loss: 0.0022, val loss: 0.0159
Epoch 30, train loss: 0.0011, val loss: 0.0113
Epoch 40, train loss: 0.0010, val loss: 0.0085
Inferred coeffs for Costa Rica: [3.0197184  1.0014201  0.98994595]
Epoch 0, train loss: 0.0174, val loss: 0.0997
Epoch 10, train loss: 0.0068, val loss: 0.0008
Epoch 20, train loss: 0.0060, val loss: 0.0067
Epoch 30, train loss: 0.0048, val loss: 0.0336
Epoch 40, train loss: 0.0023, val loss: 0.0063
Epoch 0, train loss: 0.0174, val loss: 0.0997
Epoch 10, train loss: 0.0068, val loss: 0.0008
Epoch 20, train loss: 0.0060, val loss: 0.0067
Epoch 30, train loss: 0.0048, val loss: 0.0336
Epoch 40, train loss: 0.0023, val loss: 0.0063
Epoch 0, train loss: 0.0174, val loss: 0.0514
Epoch 10, train loss: 0.0048, val loss: 0.0119
Epoch 20, train loss: 0.0010, val loss: 0.0059
Epoch 30, train loss: 0.0017, val loss: 0.0017
Epoch 40, train loss: 0.0010, val loss: 0.0022
Epoch 0, train loss: 0.0174, val loss: 0.0514
Epoch 10, train loss: 0.0048, val loss: 0.0119
Epoch 20, train loss: 0.0010, val loss: 0.0059
Epoch 30, train loss: 0.0017, val loss: 0.0017
Epoch 40, train loss: 0.0010, val loss: 0.0022
Epoch 50, train loss: 0.0010, val loss: 0.0041
Epoch 60, train loss: 0.0009, val loss: 0.0013
Inferred coeffs for Cuba: [3.2877324 1.0018287 1.0059956]
Epoch 0, train loss: 0.0152, val loss: 0.0969
Epoch 10, train loss: 0.0090, val loss: 0.0023
Epoch 20, train loss: 0.0029, val loss: 0.0006
Epoch 30, train loss: 0.0030, val loss: 0.0220
Epoch 40, train loss: 0.0028, val loss: 0.0008
Epoch 0, train loss: 0.0152, val loss: 0.0969
Epoch 10, train loss: 0.0090, val loss: 0.0023
Epoch 20, train loss: 0.0029, val loss: 0.0006
Epoch 30, train loss: 0.0030, val loss: 0.0220
Epoch 40, train loss: 0.0028, val loss: 0.0008
Epoch 50, train loss: 0.0035, val loss: 0.0117
Epoch 0, train loss: 0.0152, val loss: 0.0542
Epoch 10, train loss: 0.0027, val loss: 0.0090
Epoch 20, train loss: 0.0028, val loss: 0.0092
Epoch 30, train loss: 0.0028, val loss: 0.0146
Epoch 40, train loss: 0.0026, val loss: 0.0016
Epoch 0, train loss: 0.0152, val loss: 0.0542
Epoch 10, train loss: 0.0027, val loss: 0.0090
Epoch 20, train loss: 0.0028, val loss: 0.0092
Epoch 30, train loss: 0.0028, val loss: 0.0146
Epoch 40, train loss: 0.0026, val loss: 0.0016
Epoch 50, train loss: 0.0026, val loss: 0.0093
Inferred coeffs for New Zealand: [3.3715143 1.0018575 1.007172 ]
Epoch 0, train loss: 0.0163, val loss: 0.1099
Epoch 10, train loss: 0.0091, val loss: 0.0163
Epoch 20, train loss: 0.0029, val loss: 0.0182
Epoch 30, train loss: 0.0026, val loss: 0.0007
Epoch 40, train loss: 0.0009, val loss: 0.0039
Epoch 0, train loss: 0.0163, val loss: 0.1099
Epoch 10, train loss: 0.0091, val loss: 0.0163
Epoch 20, train loss: 0.0029, val loss: 0.0182
Epoch 30, train loss: 0.0026, val loss: 0.0007
Epoch 40, train loss: 0.0009, val loss: 0.0039
Epoch 50, train loss: 0.0009, val loss: 0.0070
Epoch 60, train loss: 0.0015, val loss: 0.0179
Epoch 0, train loss: 0.0163, val loss: 0.0412
Epoch 10, train loss: 0.0013, val loss: 0.0016
Epoch 20, train loss: 0.0017, val loss: 0.0089
Epoch 30, train loss: 0.0009, val loss: 0.0051
Epoch 40, train loss: 0.0009, val loss: 0.0032
Epoch 0, train loss: 0.0163, val loss: 0.0412
Epoch 10, train loss: 0.0013, val loss: 0.0016
Epoch 20, train loss: 0.0017, val loss: 0.0089
Epoch 30, train loss: 0.0009, val loss: 0.0051
Epoch 40, train loss: 0.0009, val loss: 0.0032
Epoch 50, train loss: 0.0008, val loss: 0.0061
Inferred coeffs for Bahrain: [3.166476  1.0012743 1.0436873]
Epoch 0, train loss: 0.0310, val loss: 0.0362
Epoch 10, train loss: 0.0046, val loss: 0.0098
Epoch 20, train loss: 0.0067, val loss: 0.0454
Epoch 30, train loss: 0.0149, val loss: 0.0741
Epoch 40, train loss: 0.0082, val loss: 0.0285
Epoch 0, train loss: 0.0310, val loss: 0.0362
Epoch 10, train loss: 0.0046, val loss: 0.0098
Epoch 20, train loss: 0.0067, val loss: 0.0454
Epoch 30, train loss: 0.0149, val loss: 0.0741
Epoch 40, train loss: 0.0082, val loss: 0.0285
Epoch 50, train loss: 0.0041, val loss: 0.0174
Epoch 60, train loss: 0.0085, val loss: 0.0060
Epoch 0, train loss: 0.0310, val loss: 0.1149
Epoch 10, train loss: 0.0079, val loss: 0.0236
Epoch 20, train loss: 0.0060, val loss: 0.0242
Epoch 30, train loss: 0.0045, val loss: 0.0083
Epoch 0, train loss: 0.0310, val loss: 0.1149
Epoch 10, train loss: 0.0079, val loss: 0.0236
Epoch 20, train loss: 0.0060, val loss: 0.0242
Epoch 30, train loss: 0.0045, val loss: 0.0083
Inferred coeffs for Saudi Arabia: [3.2731245 1.0059948 0.9819725]
Epoch 0, train loss: 0.2621, val loss: 0.8479
Epoch 10, train loss: 0.0779, val loss: 0.1469
Epoch 20, train loss: 0.0468, val loss: 0.1498
Epoch 30, train loss: 0.0312, val loss: 0.0304
Epoch 0, train loss: 0.2621, val loss: 0.8479
Epoch 10, train loss: 0.0779, val loss: 0.1469
Epoch 20, train loss: 0.0468, val loss: 0.1498
Epoch 30, train loss: 0.0312, val loss: 0.0304
Epoch 0, train loss: 0.2621, val loss: 0.9990
Epoch 10, train loss: 0.2196, val loss: 0.8302
Epoch 20, train loss: 0.1793, val loss: 0.6649
Epoch 30, train loss: 0.1407, val loss: 0.5075
Epoch 40, train loss: 0.1041, val loss: 0.3611
Epoch 0, train loss: 0.2621, val loss: 0.9990
Epoch 10, train loss: 0.2196, val loss: 0.8302
Epoch 20, train loss: 0.1793, val loss: 0.6649
Epoch 30, train loss: 0.1407, val loss: 0.5075
Epoch 40, train loss: 0.1041, val loss: 0.3611
Epoch 50, train loss: 0.0701, val loss: 0.2271
Epoch 60, train loss: 0.0403, val loss: 0.1079
Epoch 70, train loss: 0.0261, val loss: 0.0268
Epoch 80, train loss: 0.0282, val loss: 0.0252
Epoch 90, train loss: 0.0257, val loss: 0.0358
Inferred coeffs for Iran: [3.4629846 1.0647138 1.0638592]
Epoch 0, train loss: 0.0136, val loss: 0.1177
Epoch 10, train loss: 0.0115, val loss: 0.0227
Epoch 20, train loss: 0.0015, val loss: 0.0154
Epoch 30, train loss: 0.0030, val loss: 0.0085
Epoch 40, train loss: 0.0021, val loss: 0.0041
Epoch 0, train loss: 0.0136, val loss: 0.1177
Epoch 10, train loss: 0.0115, val loss: 0.0227
Epoch 20, train loss: 0.0015, val loss: 0.0154
Epoch 30, train loss: 0.0030, val loss: 0.0085
Epoch 40, train loss: 0.0021, val loss: 0.0041
Epoch 50, train loss: 0.0028, val loss: 0.0006
Epoch 60, train loss: 0.0039, val loss: 0.0223
Epoch 70, train loss: 0.0007, val loss: 0.0034
Epoch 80, train loss: 0.0029, val loss: 0.0013
Epoch 0, train loss: 0.0136, val loss: 0.0334
Epoch 10, train loss: 0.0007, val loss: 0.0063
Epoch 20, train loss: 0.0017, val loss: 0.0050
Epoch 30, train loss: 0.0014, val loss: 0.0043
Epoch 40, train loss: 0.0008, val loss: 0.0008
Epoch 0, train loss: 0.0136, val loss: 0.0334
Epoch 10, train loss: 0.0007, val loss: 0.0063
Epoch 20, train loss: 0.0017, val loss: 0.0050
Epoch 30, train loss: 0.0014, val loss: 0.0043
Epoch 40, train loss: 0.0008, val loss: 0.0008
Epoch 50, train loss: 0.0008, val loss: 0.0006
Inferred coeffs for Kuwait: [3.367605  1.0005707 0.9973174]
Epoch 0, train loss: 0.0131, val loss: 0.1148
Epoch 10, train loss: 0.0111, val loss: 0.0157
Epoch 20, train loss: 0.0045, val loss: 0.0323
Epoch 30, train loss: 0.0070, val loss: 0.0129
Epoch 40, train loss: 0.0037, val loss: 0.0220
Epoch 0, train loss: 0.0131, val loss: 0.1148
Epoch 10, train loss: 0.0111, val loss: 0.0157
Epoch 20, train loss: 0.0045, val loss: 0.0323
Epoch 30, train loss: 0.0070, val loss: 0.0129
Epoch 40, train loss: 0.0037, val loss: 0.0220
Epoch 50, train loss: 0.0053, val loss: 0.0034
Epoch 60, train loss: 0.0047, val loss: 0.0290
Epoch 70, train loss: 0.0065, val loss: 0.0143
Epoch 80, train loss: 0.0033, val loss: 0.0032
Epoch 90, train loss: 0.0009, val loss: 0.0044
Epoch 0, train loss: 0.0131, val loss: 0.0362
Epoch 10, train loss: 0.0008, val loss: 0.0097
Epoch 20, train loss: 0.0010, val loss: 0.0023
Epoch 30, train loss: 0.0008, val loss: 0.0016
Epoch 40, train loss: 0.0007, val loss: 0.0031
Epoch 0, train loss: 0.0131, val loss: 0.0362
Epoch 10, train loss: 0.0008, val loss: 0.0097
Epoch 20, train loss: 0.0010, val loss: 0.0023
Epoch 30, train loss: 0.0008, val loss: 0.0016
Epoch 40, train loss: 0.0007, val loss: 0.0031
Epoch 50, train loss: 0.0007, val loss: 0.0024
Epoch 60, train loss: 0.0007, val loss: 0.0019
Inferred coeffs for Lebanon: [2.8430388 1.0011991 1.1391964]
Epoch 0, train loss: 0.0247, val loss: 0.0483
Epoch 10, train loss: 0.0094, val loss: 0.0738
Epoch 20, train loss: 0.0105, val loss: 0.0601
Epoch 30, train loss: 0.0083, val loss: 0.0261
Epoch 40, train loss: 0.0052, val loss: 0.0287
Epoch 0, train loss: 0.0247, val loss: 0.0483
Epoch 10, train loss: 0.0094, val loss: 0.0738
Epoch 20, train loss: 0.0105, val loss: 0.0601
Epoch 30, train loss: 0.0083, val loss: 0.0261
Epoch 40, train loss: 0.0052, val loss: 0.0287
Epoch 50, train loss: 0.0070, val loss: 0.0338
Epoch 0, train loss: 0.0247, val loss: 0.1027
Epoch 10, train loss: 0.0082, val loss: 0.0070
Epoch 20, train loss: 0.0061, val loss: 0.0280
Epoch 30, train loss: 0.0042, val loss: 0.0124
Epoch 40, train loss: 0.0045, val loss: 0.0057
Epoch 0, train loss: 0.0247, val loss: 0.1027
Epoch 10, train loss: 0.0082, val loss: 0.0070
Epoch 20, train loss: 0.0061, val loss: 0.0280
Epoch 30, train loss: 0.0042, val loss: 0.0124
Epoch 40, train loss: 0.0045, val loss: 0.0057
Inferred coeffs for Pakistan: [3.2646942 1.0052298 1.0278927]
Epoch 0, train loss: 0.0149, val loss: 0.1059
Epoch 10, train loss: 0.0093, val loss: 0.0067
Epoch 20, train loss: 0.0063, val loss: 0.0412
Epoch 30, train loss: 0.0079, val loss: 0.0181
Epoch 40, train loss: 0.0033, val loss: 0.0182
Epoch 0, train loss: 0.0149, val loss: 0.1059
Epoch 10, train loss: 0.0093, val loss: 0.0067
Epoch 20, train loss: 0.0063, val loss: 0.0412
Epoch 30, train loss: 0.0079, val loss: 0.0181
Epoch 40, train loss: 0.0033, val loss: 0.0182
Epoch 50, train loss: 0.0049, val loss: 0.0004
Epoch 60, train loss: 0.0022, val loss: 0.0215
Epoch 70, train loss: 0.0008, val loss: 0.0058
Epoch 80, train loss: 0.0016, val loss: 0.0022
Epoch 90, train loss: 0.0008, val loss: 0.0077
Epoch 0, train loss: 0.0149, val loss: 0.0452
Epoch 10, train loss: 0.0009, val loss: 0.0084
Epoch 20, train loss: 0.0017, val loss: 0.0011
Epoch 30, train loss: 0.0012, val loss: 0.0008
Epoch 0, train loss: 0.0149, val loss: 0.0452
Epoch 10, train loss: 0.0009, val loss: 0.0084
Epoch 20, train loss: 0.0017, val loss: 0.0011
Epoch 30, train loss: 0.0012, val loss: 0.0008
Inferred coeffs for Iraq: [2.9416542 1.0019143 1.0295016]
Epoch 0, train loss: 0.0222, val loss: 0.0721
Epoch 10, train loss: 0.0204, val loss: 0.0460
Epoch 20, train loss: 0.0163, val loss: 0.0398
Epoch 30, train loss: 0.0041, val loss: 0.0202
Epoch 40, train loss: 0.0028, val loss: 0.0167
Epoch 0, train loss: 0.0222, val loss: 0.0721
Epoch 10, train loss: 0.0204, val loss: 0.0460
Epoch 20, train loss: 0.0163, val loss: 0.0398
Epoch 30, train loss: 0.0041, val loss: 0.0202
Epoch 40, train loss: 0.0028, val loss: 0.0167
Epoch 50, train loss: 0.0026, val loss: 0.0219
Epoch 0, train loss: 0.0222, val loss: 0.0790
Epoch 10, train loss: 0.0072, val loss: 0.0138
Epoch 20, train loss: 0.0039, val loss: 0.0174
Epoch 30, train loss: 0.0027, val loss: 0.0183
Epoch 0, train loss: 0.0222, val loss: 0.0790
Epoch 10, train loss: 0.0072, val loss: 0.0138
Epoch 20, train loss: 0.0039, val loss: 0.0174
Epoch 30, train loss: 0.0027, val loss: 0.0183
Inferred coeffs for Qatar: [3.1743813 1.0038756 1.0107406]
Epoch 0, train loss: 0.0143, val loss: 0.0484
Epoch 10, train loss: 0.0163, val loss: 0.0194
Epoch 20, train loss: 0.0040, val loss: 0.0761
Epoch 30, train loss: 0.0038, val loss: 0.0608
Epoch 0, train loss: 0.0143, val loss: 0.0484
Epoch 10, train loss: 0.0163, val loss: 0.0194
Epoch 20, train loss: 0.0040, val loss: 0.0761
Epoch 30, train loss: 0.0038, val loss: 0.0608
Epoch 0, train loss: 0.0143, val loss: 0.1027
Epoch 10, train loss: 0.0043, val loss: 0.0599
Epoch 20, train loss: 0.0036, val loss: 0.0624
Epoch 30, train loss: 0.0032, val loss: 0.0761
Epoch 0, train loss: 0.0143, val loss: 0.1027
Epoch 10, train loss: 0.0043, val loss: 0.0599
Epoch 20, train loss: 0.0036, val loss: 0.0624
Epoch 30, train loss: 0.0032, val loss: 0.0761
Inferred coeffs for South Korea: [3.296284  1.0050236 1.0114402]
Epoch 0, train loss: 0.0235, val loss: 0.0737
Epoch 10, train loss: 0.0036, val loss: 0.0239
Epoch 20, train loss: 0.0030, val loss: 0.0177
Epoch 30, train loss: 0.0035, val loss: 0.0110
Epoch 40, train loss: 0.0043, val loss: 0.0085
Epoch 0, train loss: 0.0235, val loss: 0.0737
Epoch 10, train loss: 0.0036, val loss: 0.0239
Epoch 20, train loss: 0.0030, val loss: 0.0177
Epoch 30, train loss: 0.0035, val loss: 0.0110
Epoch 40, train loss: 0.0043, val loss: 0.0085
Epoch 0, train loss: 0.0235, val loss: 0.0773
Epoch 10, train loss: 0.0080, val loss: 0.0261
Epoch 20, train loss: 0.0047, val loss: 0.0106
Epoch 30, train loss: 0.0027, val loss: 0.0021
Epoch 40, train loss: 0.0030, val loss: 0.0074
Epoch 0, train loss: 0.0235, val loss: 0.0773
Epoch 10, train loss: 0.0080, val loss: 0.0261
Epoch 20, train loss: 0.0047, val loss: 0.0106
Epoch 30, train loss: 0.0027, val loss: 0.0021
Epoch 40, train loss: 0.0030, val loss: 0.0074
Epoch 50, train loss: 0.0028, val loss: 0.0066
Epoch 60, train loss: 0.0027, val loss: 0.0055
Inferred coeffs for Argentina: [3.299187   1.0034683  0.97732455]
Epoch 0, train loss: 0.0465, val loss: 0.1506
Epoch 10, train loss: 0.0208, val loss: 0.1453
Epoch 20, train loss: 0.0182, val loss: 0.1371
Epoch 30, train loss: 0.0166, val loss: 0.1199
Epoch 0, train loss: 0.0465, val loss: 0.1506
Epoch 10, train loss: 0.0208, val loss: 0.1453
Epoch 20, train loss: 0.0182, val loss: 0.1371
Epoch 30, train loss: 0.0166, val loss: 0.1199
Epoch 0, train loss: 0.0465, val loss: 0.3016
Epoch 10, train loss: 0.0185, val loss: 0.1435
Epoch 20, train loss: 0.0183, val loss: 0.0777
Epoch 30, train loss: 0.0160, val loss: 0.1262
Epoch 40, train loss: 0.0157, val loss: 0.1122
Epoch 0, train loss: 0.0465, val loss: 0.3016
Epoch 10, train loss: 0.0185, val loss: 0.1435
Epoch 20, train loss: 0.0183, val loss: 0.0777
Epoch 30, train loss: 0.0160, val loss: 0.1262
Epoch 40, train loss: 0.0157, val loss: 0.1122
Inferred coeffs for Brazil: [3.3718035  1.0170858  0.98982686]
Epoch 0, train loss: 0.0485, val loss: 0.0522
Epoch 10, train loss: 0.0195, val loss: 0.0429
Epoch 20, train loss: 0.0135, val loss: 0.0333
Epoch 30, train loss: 0.0098, val loss: 0.0027
Epoch 40, train loss: 0.0104, val loss: 0.0074
Epoch 0, train loss: 0.0485, val loss: 0.0522
Epoch 10, train loss: 0.0195, val loss: 0.0429
Epoch 20, train loss: 0.0135, val loss: 0.0333
Epoch 30, train loss: 0.0098, val loss: 0.0027
Epoch 40, train loss: 0.0104, val loss: 0.0074
Epoch 50, train loss: 0.0097, val loss: 0.0155
Epoch 60, train loss: 0.0093, val loss: 0.0015
Epoch 0, train loss: 0.0485, val loss: 0.2033
Epoch 10, train loss: 0.0132, val loss: 0.0385
Epoch 20, train loss: 0.0125, val loss: 0.0125
Epoch 30, train loss: 0.0105, val loss: 0.0301
Epoch 40, train loss: 0.0089, val loss: 0.0026
Epoch 0, train loss: 0.0485, val loss: 0.2033
Epoch 10, train loss: 0.0132, val loss: 0.0385
Epoch 20, train loss: 0.0125, val loss: 0.0125
Epoch 30, train loss: 0.0105, val loss: 0.0301
Epoch 40, train loss: 0.0089, val loss: 0.0026
Epoch 50, train loss: 0.0090, val loss: 0.0098
Epoch 60, train loss: 0.0089, val loss: 0.0011
Epoch 70, train loss: 0.0088, val loss: 0.0050
Epoch 80, train loss: 0.0088, val loss: 0.0019
Epoch 90, train loss: 0.0088, val loss: 0.0038
Inferred coeffs for Chile: [3.2892234  1.0116553  0.93781227]
Epoch 0, train loss: 0.0365, val loss: 0.0085
Epoch 10, train loss: 0.0180, val loss: 0.0348
Epoch 20, train loss: 0.0074, val loss: 0.0244
Epoch 30, train loss: 0.0092, val loss: 0.0078
Epoch 40, train loss: 0.0077, val loss: 0.0077
Epoch 0, train loss: 0.0365, val loss: 0.0085
Epoch 10, train loss: 0.0180, val loss: 0.0348
Epoch 20, train loss: 0.0074, val loss: 0.0244
Epoch 30, train loss: 0.0092, val loss: 0.0078
Epoch 40, train loss: 0.0077, val loss: 0.0077
Epoch 0, train loss: 0.0365, val loss: 0.1425
Epoch 10, train loss: 0.0072, val loss: 0.0167
Epoch 20, train loss: 0.0072, val loss: 0.0101
Epoch 30, train loss: 0.0072, val loss: 0.0039
Epoch 40, train loss: 0.0071, val loss: 0.0058
Epoch 0, train loss: 0.0365, val loss: 0.1425
Epoch 10, train loss: 0.0072, val loss: 0.0167
Epoch 20, train loss: 0.0072, val loss: 0.0101
Epoch 30, train loss: 0.0072, val loss: 0.0039
Epoch 40, train loss: 0.0071, val loss: 0.0058
Epoch 50, train loss: 0.0072, val loss: 0.0050
Epoch 60, train loss: 0.0072, val loss: 0.0058
Epoch 70, train loss: 0.0071, val loss: 0.0044
Epoch 80, train loss: 0.0071, val loss: 0.0039
Epoch 90, train loss: 0.0071, val loss: 0.0040
Inferred coeffs for Ecuador: [3.385341  1.0071399 1.0183163]
Epoch 0, train loss: 0.0289, val loss: 0.0459
Epoch 10, train loss: 0.0046, val loss: 0.0057
Epoch 20, train loss: 0.0041, val loss: 0.0053
Epoch 30, train loss: 0.0034, val loss: 0.0061
Epoch 40, train loss: 0.0031, val loss: 0.0110
Epoch 0, train loss: 0.0289, val loss: 0.0459
Epoch 10, train loss: 0.0046, val loss: 0.0057
Epoch 20, train loss: 0.0041, val loss: 0.0053
Epoch 30, train loss: 0.0034, val loss: 0.0061
Epoch 40, train loss: 0.0031, val loss: 0.0110
Epoch 50, train loss: 0.0049, val loss: 0.0051
Epoch 0, train loss: 0.0289, val loss: 0.1051
Epoch 10, train loss: 0.0086, val loss: 0.0269
Epoch 20, train loss: 0.0054, val loss: 0.0232
Epoch 30, train loss: 0.0044, val loss: 0.0074
Epoch 40, train loss: 0.0034, val loss: 0.0067
Epoch 0, train loss: 0.0289, val loss: 0.1051
Epoch 10, train loss: 0.0086, val loss: 0.0269
Epoch 20, train loss: 0.0054, val loss: 0.0232
Epoch 30, train loss: 0.0044, val loss: 0.0074
Epoch 40, train loss: 0.0034, val loss: 0.0067
Epoch 50, train loss: 0.0030, val loss: 0.0057
Epoch 60, train loss: 0.0028, val loss: 0.0042
Epoch 70, train loss: 0.0028, val loss: 0.0039
Epoch 80, train loss: 0.0028, val loss: 0.0041
Epoch 90, train loss: 0.0028, val loss: 0.0040
Inferred coeffs for Colombia: [3.3116045  1.0050014  0.97929585]
Epoch 0, train loss: 0.0135, val loss: 0.1143
Epoch 10, train loss: 0.0107, val loss: 0.0151
Epoch 20, train loss: 0.0049, val loss: 0.0329
Epoch 30, train loss: 0.0065, val loss: 0.0098
Epoch 40, train loss: 0.0046, val loss: 0.0263
Epoch 0, train loss: 0.0135, val loss: 0.1143
Epoch 10, train loss: 0.0107, val loss: 0.0151
Epoch 20, train loss: 0.0049, val loss: 0.0329
Epoch 30, train loss: 0.0065, val loss: 0.0098
Epoch 40, train loss: 0.0046, val loss: 0.0263
Epoch 50, train loss: 0.0062, val loss: 0.0074
Epoch 60, train loss: 0.0040, val loss: 0.0256
Epoch 70, train loss: 0.0060, val loss: 0.0116
Epoch 80, train loss: 0.0026, val loss: 0.0153
Epoch 90, train loss: 0.0038, val loss: 0.0011
Epoch 0, train loss: 0.0135, val loss: 0.0368
Epoch 10, train loss: 0.0017, val loss: 0.0033
Epoch 20, train loss: 0.0026, val loss: 0.0088
Epoch 30, train loss: 0.0008, val loss: 0.0051
Epoch 40, train loss: 0.0004, val loss: 0.0026
Epoch 0, train loss: 0.0135, val loss: 0.0368
Epoch 10, train loss: 0.0017, val loss: 0.0033
Epoch 20, train loss: 0.0026, val loss: 0.0088
Epoch 30, train loss: 0.0008, val loss: 0.0051
Epoch 40, train loss: 0.0004, val loss: 0.0026
Epoch 50, train loss: 0.0005, val loss: 0.0010
Epoch 60, train loss: 0.0004, val loss: 0.0013
Epoch 70, train loss: 0.0004, val loss: 0.0010
Epoch 80, train loss: 0.0005, val loss: 0.0004
Epoch 90, train loss: 0.0003, val loss: 0.0008
Inferred coeffs for Bolivia: [2.8124485 1.0013599 1.0058175]
Epoch 0, train loss: 0.0408, val loss: 0.1208
Epoch 10, train loss: 0.0132, val loss: 0.1334
Epoch 20, train loss: 0.0114, val loss: 0.1637
Epoch 30, train loss: 0.0110, val loss: 0.1305
Epoch 0, train loss: 0.0408, val loss: 0.1208
Epoch 10, train loss: 0.0132, val loss: 0.1334
Epoch 20, train loss: 0.0114, val loss: 0.1637
Epoch 30, train loss: 0.0110, val loss: 0.1305
Epoch 0, train loss: 0.0408, val loss: 0.2718
Epoch 10, train loss: 0.0111, val loss: 0.1151
Epoch 20, train loss: 0.0133, val loss: 0.1094
Epoch 30, train loss: 0.0114, val loss: 0.1600
Epoch 40, train loss: 0.0108, val loss: 0.1352
Epoch 0, train loss: 0.0408, val loss: 0.2718
Epoch 10, train loss: 0.0111, val loss: 0.1151
Epoch 20, train loss: 0.0133, val loss: 0.1094
Epoch 30, train loss: 0.0114, val loss: 0.1600
Epoch 40, train loss: 0.0108, val loss: 0.1352
Inferred coeffs for Peru: [3.3648431 1.0114584 0.9847427]
Epoch 0, train loss: 0.0186, val loss: 0.1139
Epoch 10, train loss: 0.0187, val loss: 0.0671
Epoch 20, train loss: 0.0081, val loss: 0.0266
Epoch 30, train loss: 0.0051, val loss: 0.0017
Epoch 40, train loss: 0.0037, val loss: 0.0202
Epoch 0, train loss: 0.0186, val loss: 0.1139
Epoch 10, train loss: 0.0187, val loss: 0.0671
Epoch 20, train loss: 0.0081, val loss: 0.0266
Epoch 30, train loss: 0.0051, val loss: 0.0017
Epoch 40, train loss: 0.0037, val loss: 0.0202
Epoch 50, train loss: 0.0030, val loss: 0.0148
Epoch 60, train loss: 0.0029, val loss: 0.0127
Epoch 0, train loss: 0.0186, val loss: 0.0372
Epoch 10, train loss: 0.0063, val loss: 0.0359
Epoch 20, train loss: 0.0032, val loss: 0.0137
Epoch 30, train loss: 0.0031, val loss: 0.0111
Epoch 40, train loss: 0.0032, val loss: 0.0196
Epoch 0, train loss: 0.0186, val loss: 0.0372
Epoch 10, train loss: 0.0063, val loss: 0.0359
Epoch 20, train loss: 0.0032, val loss: 0.0137
Epoch 30, train loss: 0.0031, val loss: 0.0111
Epoch 40, train loss: 0.0032, val loss: 0.0196
Inferred coeffs for Uruguay: [3.3712378 1.0008106 1.002233 ]
Epoch 0, train loss: 0.0233, val loss: 0.0777
Epoch 10, train loss: 0.0026, val loss: 0.0049
Epoch 20, train loss: 0.0040, val loss: 0.0162
Epoch 30, train loss: 0.0032, val loss: 0.0031
Epoch 40, train loss: 0.0011, val loss: 0.0069
Epoch 0, train loss: 0.0233, val loss: 0.0777
Epoch 10, train loss: 0.0026, val loss: 0.0049
Epoch 20, train loss: 0.0040, val loss: 0.0162
Epoch 30, train loss: 0.0032, val loss: 0.0031
Epoch 40, train loss: 0.0011, val loss: 0.0069
Epoch 50, train loss: 0.0032, val loss: 0.0049
Epoch 60, train loss: 0.0020, val loss: 0.0213
Epoch 0, train loss: 0.0233, val loss: 0.0733
Epoch 10, train loss: 0.0064, val loss: 0.0225
Epoch 20, train loss: 0.0023, val loss: 0.0006
Epoch 30, train loss: 0.0014, val loss: 0.0012
Epoch 40, train loss: 0.0009, val loss: 0.0044
Epoch 0, train loss: 0.0233, val loss: 0.0733
Epoch 10, train loss: 0.0064, val loss: 0.0225
Epoch 20, train loss: 0.0023, val loss: 0.0006
Epoch 30, train loss: 0.0014, val loss: 0.0012
Epoch 40, train loss: 0.0009, val loss: 0.0044
Epoch 50, train loss: 0.0009, val loss: 0.0018
Inferred coeffs for Kazakhstan: [3.2470758 1.0033486 1.0228146]
Epoch 0, train loss: 0.0168, val loss: 0.1095
Epoch 10, train loss: 0.0074, val loss: 0.0103
Epoch 20, train loss: 0.0032, val loss: 0.0211
Epoch 30, train loss: 0.0024, val loss: 0.0084
Epoch 40, train loss: 0.0042, val loss: 0.0133
Epoch 0, train loss: 0.0168, val loss: 0.1095
Epoch 10, train loss: 0.0074, val loss: 0.0103
Epoch 20, train loss: 0.0032, val loss: 0.0211
Epoch 30, train loss: 0.0024, val loss: 0.0084
Epoch 40, train loss: 0.0042, val loss: 0.0133
Epoch 50, train loss: 0.0011, val loss: 0.0240
Epoch 60, train loss: 0.0020, val loss: 0.0049
Epoch 0, train loss: 0.0168, val loss: 0.0415
Epoch 10, train loss: 0.0023, val loss: 0.0087
Epoch 20, train loss: 0.0021, val loss: 0.0154
Epoch 30, train loss: 0.0012, val loss: 0.0129
Epoch 40, train loss: 0.0009, val loss: 0.0105
Epoch 0, train loss: 0.0168, val loss: 0.0415
Epoch 10, train loss: 0.0023, val loss: 0.0087
Epoch 20, train loss: 0.0021, val loss: 0.0154
Epoch 30, train loss: 0.0012, val loss: 0.0129
Epoch 40, train loss: 0.0009, val loss: 0.0105
Inferred coeffs for Kyrgyzstan: [3.1781752 1.0012976 0.9857137]
Epoch 0, train loss: 0.0134, val loss: 0.1063
Epoch 10, train loss: 0.0108, val loss: 0.0071
Epoch 20, train loss: 0.0048, val loss: 0.0409
Epoch 30, train loss: 0.0069, val loss: 0.0198
Epoch 40, train loss: 0.0039, val loss: 0.0151
Epoch 0, train loss: 0.0134, val loss: 0.1063
Epoch 10, train loss: 0.0108, val loss: 0.0071
Epoch 20, train loss: 0.0048, val loss: 0.0409
Epoch 30, train loss: 0.0069, val loss: 0.0198
Epoch 40, train loss: 0.0039, val loss: 0.0151
Epoch 50, train loss: 0.0025, val loss: 0.0189
Epoch 60, train loss: 0.0018, val loss: 0.0013
Epoch 0, train loss: 0.0134, val loss: 0.0448
Epoch 10, train loss: 0.0014, val loss: 0.0173
Epoch 20, train loss: 0.0021, val loss: 0.0040
Epoch 30, train loss: 0.0013, val loss: 0.0042
Epoch 40, train loss: 0.0014, val loss: 0.0092
Epoch 0, train loss: 0.0134, val loss: 0.0448
Epoch 10, train loss: 0.0014, val loss: 0.0173
Epoch 20, train loss: 0.0021, val loss: 0.0040
Epoch 30, train loss: 0.0013, val loss: 0.0042
Epoch 40, train loss: 0.0014, val loss: 0.0092
Inferred coeffs for Azerbaijan: [3.3720663 1.0012888 1.0045762]
Epoch 0, train loss: 0.0195, val loss: 0.0679
Epoch 10, train loss: 0.0132, val loss: 0.0074
Epoch 20, train loss: 0.0048, val loss: 0.0528
Epoch 30, train loss: 0.0055, val loss: 0.0304
Epoch 40, train loss: 0.0043, val loss: 0.0084
Epoch 0, train loss: 0.0195, val loss: 0.0679
Epoch 10, train loss: 0.0132, val loss: 0.0074
Epoch 20, train loss: 0.0048, val loss: 0.0528
Epoch 30, train loss: 0.0055, val loss: 0.0304
Epoch 40, train loss: 0.0043, val loss: 0.0084
Epoch 0, train loss: 0.0195, val loss: 0.0832
Epoch 10, train loss: 0.0054, val loss: 0.0089
Epoch 20, train loss: 0.0046, val loss: 0.0256
Epoch 30, train loss: 0.0041, val loss: 0.0150
Epoch 0, train loss: 0.0195, val loss: 0.0832
Epoch 10, train loss: 0.0054, val loss: 0.0089
Epoch 20, train loss: 0.0046, val loss: 0.0256
Epoch 30, train loss: 0.0041, val loss: 0.0150
Inferred coeffs for Ukraine: [3.2453218 1.0040966 1.028489 ]
Epoch 0, train loss: 0.0122, val loss: 0.1091
Epoch 10, train loss: 0.0121, val loss: 0.0099
Epoch 20, train loss: 0.0035, val loss: 0.0380
Epoch 30, train loss: 0.0054, val loss: 0.0157
Epoch 40, train loss: 0.0038, val loss: 0.0126
Epoch 0, train loss: 0.0122, val loss: 0.1091
Epoch 10, train loss: 0.0121, val loss: 0.0099
Epoch 20, train loss: 0.0035, val loss: 0.0380
Epoch 30, train loss: 0.0054, val loss: 0.0157
Epoch 40, train loss: 0.0038, val loss: 0.0126
Epoch 50, train loss: 0.0047, val loss: 0.0080
Epoch 60, train loss: 0.0047, val loss: 0.0384
Epoch 0, train loss: 0.0122, val loss: 0.0420
Epoch 10, train loss: 0.0025, val loss: 0.0219
Epoch 20, train loss: 0.0010, val loss: 0.0152
Epoch 30, train loss: 0.0004, val loss: 0.0098
Epoch 0, train loss: 0.0122, val loss: 0.0420
Epoch 10, train loss: 0.0025, val loss: 0.0219
Epoch 20, train loss: 0.0010, val loss: 0.0152
Epoch 30, train loss: 0.0004, val loss: 0.0098
Inferred coeffs for Belarus: [3.1356666 1.0013838 1.0244665]
Epoch 0, train loss: 0.0642, val loss: 0.0090
Epoch 10, train loss: 0.0109, val loss: 0.1033
Epoch 20, train loss: 0.0113, val loss: 0.0736
Epoch 30, train loss: 0.0106, val loss: 0.0689
Epoch 0, train loss: 0.0642, val loss: 0.0090
Epoch 10, train loss: 0.0109, val loss: 0.1033
Epoch 20, train loss: 0.0113, val loss: 0.0736
Epoch 30, train loss: 0.0106, val loss: 0.0689
Epoch 0, train loss: 0.0642, val loss: 0.1454
Epoch 10, train loss: 0.0211, val loss: 0.0237
Epoch 20, train loss: 0.0133, val loss: 0.1375
Epoch 30, train loss: 0.0110, val loss: 0.1052
Epoch 0, train loss: 0.0642, val loss: 0.1454
Epoch 10, train loss: 0.0211, val loss: 0.0237
Epoch 20, train loss: 0.0133, val loss: 0.1375
Epoch 30, train loss: 0.0110, val loss: 0.1052
Inferred coeffs for Tajikistan: [3.3746777 1.0076108 1.0099984]
Epoch 0, train loss: 0.0234, val loss: 0.0787
Epoch 10, train loss: 0.0027, val loss: 0.0184
Epoch 20, train loss: 0.0044, val loss: 0.0026
Epoch 30, train loss: 0.0035, val loss: 0.0039
Epoch 0, train loss: 0.0234, val loss: 0.0787
Epoch 10, train loss: 0.0027, val loss: 0.0184
Epoch 20, train loss: 0.0044, val loss: 0.0026
Epoch 30, train loss: 0.0035, val loss: 0.0039
Epoch 0, train loss: 0.0234, val loss: 0.0724
Epoch 10, train loss: 0.0069, val loss: 0.0261
Epoch 20, train loss: 0.0039, val loss: 0.0074
Epoch 30, train loss: 0.0021, val loss: 0.0035
Epoch 40, train loss: 0.0023, val loss: 0.0094
Epoch 0, train loss: 0.0234, val loss: 0.0724
Epoch 10, train loss: 0.0069, val loss: 0.0261
Epoch 20, train loss: 0.0039, val loss: 0.0074
Epoch 30, train loss: 0.0021, val loss: 0.0035
Epoch 40, train loss: 0.0023, val loss: 0.0094
Epoch 50, train loss: 0.0021, val loss: 0.0079
Epoch 60, train loss: 0.0021, val loss: 0.0064
Inferred coeffs for Uzbekistan: [3.3274143 1.0029743 0.9921653]
Epoch 0, train loss: 0.0126, val loss: 0.0953
Epoch 10, train loss: 0.0116, val loss: 0.0053
Epoch 20, train loss: 0.0040, val loss: 0.0519
Epoch 30, train loss: 0.0066, val loss: 0.0326
Epoch 40, train loss: 0.0037, val loss: 0.0068
Epoch 0, train loss: 0.0126, val loss: 0.0953
Epoch 10, train loss: 0.0116, val loss: 0.0053
Epoch 20, train loss: 0.0040, val loss: 0.0519
Epoch 30, train loss: 0.0066, val loss: 0.0326
Epoch 40, train loss: 0.0037, val loss: 0.0068
Epoch 50, train loss: 0.0014, val loss: 0.0187
Epoch 0, train loss: 0.0126, val loss: 0.0557
Epoch 10, train loss: 0.0022, val loss: 0.0345
Epoch 20, train loss: 0.0018, val loss: 0.0209
Epoch 30, train loss: 0.0016, val loss: 0.0217
Epoch 0, train loss: 0.0126, val loss: 0.0557
Epoch 10, train loss: 0.0022, val loss: 0.0345
Epoch 20, train loss: 0.0018, val loss: 0.0209
Epoch 30, train loss: 0.0016, val loss: 0.0217
Inferred coeffs for Bangladesh: [3.1993465 1.0022264 1.0055205]
Epoch 0, train loss: 0.0301, val loss: 0.0380
Epoch 10, train loss: 0.0049, val loss: 0.0039
Epoch 20, train loss: 0.0029, val loss: 0.0196
Epoch 30, train loss: 0.0079, val loss: 0.0184
Epoch 40, train loss: 0.0060, val loss: 0.0371
Epoch 0, train loss: 0.0301, val loss: 0.0380
Epoch 10, train loss: 0.0049, val loss: 0.0039
Epoch 20, train loss: 0.0029, val loss: 0.0196
Epoch 30, train loss: 0.0079, val loss: 0.0184
Epoch 40, train loss: 0.0060, val loss: 0.0371
Epoch 50, train loss: 0.0069, val loss: 0.0052
Epoch 60, train loss: 0.0082, val loss: 0.0200
Epoch 0, train loss: 0.0301, val loss: 0.1130
Epoch 10, train loss: 0.0078, val loss: 0.0206
Epoch 20, train loss: 0.0049, val loss: 0.0202
Epoch 30, train loss: 0.0036, val loss: 0.0011
Epoch 40, train loss: 0.0029, val loss: 0.0015
Epoch 0, train loss: 0.0301, val loss: 0.1130
Epoch 10, train loss: 0.0078, val loss: 0.0206
Epoch 20, train loss: 0.0049, val loss: 0.0202
Epoch 30, train loss: 0.0036, val loss: 0.0011
Epoch 40, train loss: 0.0029, val loss: 0.0015
Epoch 50, train loss: 0.0029, val loss: 0.0009
Epoch 60, train loss: 0.0029, val loss: 0.0021
Epoch 70, train loss: 0.0028, val loss: 0.0013
Epoch 80, train loss: 0.0028, val loss: 0.0015
Inferred coeffs for Indonesia: [3.3772573 1.0053084 1.0123171]
Epoch 0, train loss: 0.0283, val loss: 0.0989
Epoch 10, train loss: 0.0079, val loss: 0.0215
Epoch 20, train loss: 0.0085, val loss: 0.0151
Epoch 30, train loss: 0.0065, val loss: 0.0388
Epoch 40, train loss: 0.0066, val loss: 0.0363
Epoch 0, train loss: 0.0283, val loss: 0.0989
Epoch 10, train loss: 0.0079, val loss: 0.0215
Epoch 20, train loss: 0.0085, val loss: 0.0151
Epoch 30, train loss: 0.0065, val loss: 0.0388
Epoch 40, train loss: 0.0066, val loss: 0.0363
Epoch 0, train loss: 0.0283, val loss: 0.0522
Epoch 10, train loss: 0.0100, val loss: 0.0746
Epoch 20, train loss: 0.0068, val loss: 0.0291
Epoch 30, train loss: 0.0068, val loss: 0.0319
Epoch 0, train loss: 0.0283, val loss: 0.0522
Epoch 10, train loss: 0.0100, val loss: 0.0746
Epoch 20, train loss: 0.0068, val loss: 0.0291
Epoch 30, train loss: 0.0068, val loss: 0.0319
Inferred coeffs for China: [3.2967205  1.0017741  0.97730666]
Epoch 0, train loss: 0.0154, val loss: 0.1108
Epoch 10, train loss: 0.0088, val loss: 0.0117
Epoch 20, train loss: 0.0068, val loss: 0.0363
Epoch 30, train loss: 0.0089, val loss: 0.0152
Epoch 40, train loss: 0.0050, val loss: 0.0107
Epoch 0, train loss: 0.0154, val loss: 0.1108
Epoch 10, train loss: 0.0088, val loss: 0.0117
Epoch 20, train loss: 0.0068, val loss: 0.0363
Epoch 30, train loss: 0.0089, val loss: 0.0152
Epoch 40, train loss: 0.0050, val loss: 0.0107
Epoch 50, train loss: 0.0029, val loss: 0.0066
Epoch 60, train loss: 0.0008, val loss: 0.0041
Epoch 70, train loss: 0.0011, val loss: 0.0134
Epoch 80, train loss: 0.0068, val loss: 0.0182
Epoch 90, train loss: 0.0037, val loss: 0.0084
Epoch 0, train loss: 0.0154, val loss: 0.0402
Epoch 10, train loss: 0.0010, val loss: 0.0030
Epoch 20, train loss: 0.0010, val loss: 0.0036
Epoch 30, train loss: 0.0009, val loss: 0.0020
Epoch 40, train loss: 0.0008, val loss: 0.0059
Epoch 0, train loss: 0.0154, val loss: 0.0402
Epoch 10, train loss: 0.0010, val loss: 0.0030
Epoch 20, train loss: 0.0010, val loss: 0.0036
Epoch 30, train loss: 0.0009, val loss: 0.0020
Epoch 40, train loss: 0.0008, val loss: 0.0059
Epoch 50, train loss: 0.0008, val loss: 0.0046
Inferred coeffs for Latvia: [3.0266469 1.0013125 1.0457374]
Epoch 0, train loss: 0.0148, val loss: 0.1037
Epoch 10, train loss: 0.0094, val loss: 0.0046
Epoch 20, train loss: 0.0062, val loss: 0.0434
Epoch 30, train loss: 0.0025, val loss: 0.0040
Epoch 40, train loss: 0.0041, val loss: 0.0183
Epoch 0, train loss: 0.0148, val loss: 0.1037
Epoch 10, train loss: 0.0094, val loss: 0.0046
Epoch 20, train loss: 0.0062, val loss: 0.0434
Epoch 30, train loss: 0.0025, val loss: 0.0040
Epoch 40, train loss: 0.0041, val loss: 0.0183
Epoch 50, train loss: 0.0021, val loss: 0.0158
Epoch 60, train loss: 0.0024, val loss: 0.0011
Epoch 70, train loss: 0.0019, val loss: 0.0027
Epoch 80, train loss: 0.0019, val loss: 0.0024
Epoch 90, train loss: 0.0018, val loss: 0.0017
Epoch 0, train loss: 0.0148, val loss: 0.0473
Epoch 10, train loss: 0.0021, val loss: 0.0115
Epoch 20, train loss: 0.0025, val loss: 0.0020
Epoch 30, train loss: 0.0017, val loss: 0.0021
Epoch 40, train loss: 0.0017, val loss: 0.0013
Epoch 0, train loss: 0.0148, val loss: 0.0473
Epoch 10, train loss: 0.0021, val loss: 0.0115
Epoch 20, train loss: 0.0025, val loss: 0.0020
Epoch 30, train loss: 0.0017, val loss: 0.0021
Epoch 40, train loss: 0.0017, val loss: 0.0013
Epoch 50, train loss: 0.0017, val loss: 0.0009
Epoch 60, train loss: 0.0017, val loss: 0.0011
Epoch 70, train loss: 0.0017, val loss: 0.0011
Epoch 80, train loss: 0.0017, val loss: 0.0009
Inferred coeffs for Lithuania: [3.3728733 1.0013962 1.033162 ]
Epoch 0, train loss: 0.0166, val loss: 0.1024
Epoch 10, train loss: 0.0076, val loss: 0.0032
Epoch 20, train loss: 0.0056, val loss: 0.0011
Epoch 30, train loss: 0.0068, val loss: 0.0139
Epoch 40, train loss: 0.0055, val loss: 0.0181
Epoch 0, train loss: 0.0166, val loss: 0.1024
Epoch 10, train loss: 0.0076, val loss: 0.0032
Epoch 20, train loss: 0.0056, val loss: 0.0011
Epoch 30, train loss: 0.0068, val loss: 0.0139
Epoch 40, train loss: 0.0055, val loss: 0.0181
Epoch 50, train loss: 0.0047, val loss: 0.0183
Epoch 0, train loss: 0.0166, val loss: 0.0487
Epoch 10, train loss: 0.0040, val loss: 0.0072
Epoch 20, train loss: 0.0012, val loss: 0.0082
Epoch 30, train loss: 0.0022, val loss: 0.0035
Epoch 40, train loss: 0.0016, val loss: 0.0012
Epoch 0, train loss: 0.0166, val loss: 0.0487
Epoch 10, train loss: 0.0040, val loss: 0.0072
Epoch 20, train loss: 0.0012, val loss: 0.0082
Epoch 30, train loss: 0.0022, val loss: 0.0035
Epoch 40, train loss: 0.0016, val loss: 0.0012
Epoch 50, train loss: 0.0013, val loss: 0.0023
Epoch 60, train loss: 0.0012, val loss: 0.0021
Inferred coeffs for Armenia: [3.227294   1.0016642  0.98643273]
Epoch 0, train loss: 0.0170, val loss: 0.0986
Epoch 10, train loss: 0.0164, val loss: 0.0468
Epoch 20, train loss: 0.0092, val loss: 0.0097
Epoch 30, train loss: 0.0030, val loss: 0.0203
Epoch 40, train loss: 0.0070, val loss: 0.0298
Epoch 0, train loss: 0.0170, val loss: 0.0986
Epoch 10, train loss: 0.0164, val loss: 0.0468
Epoch 20, train loss: 0.0092, val loss: 0.0097
Epoch 30, train loss: 0.0030, val loss: 0.0203
Epoch 40, train loss: 0.0070, val loss: 0.0298
Epoch 50, train loss: 0.0043, val loss: 0.0020
Epoch 60, train loss: 0.0036, val loss: 0.0034
Epoch 70, train loss: 0.0029, val loss: 0.0098
Epoch 80, train loss: 0.0029, val loss: 0.0062
Epoch 90, train loss: 0.0029, val loss: 0.0019
Epoch 0, train loss: 0.0170, val loss: 0.0525
Epoch 10, train loss: 0.0029, val loss: 0.0020
Epoch 20, train loss: 0.0027, val loss: 0.0021
Epoch 30, train loss: 0.0027, val loss: 0.0043
Epoch 40, train loss: 0.0026, val loss: 0.0043
Epoch 0, train loss: 0.0170, val loss: 0.0525
Epoch 10, train loss: 0.0029, val loss: 0.0020
Epoch 20, train loss: 0.0027, val loss: 0.0021
Epoch 30, train loss: 0.0027, val loss: 0.0043
Epoch 40, train loss: 0.0026, val loss: 0.0043
Epoch 50, train loss: 0.0026, val loss: 0.0024
Epoch 60, train loss: 0.0026, val loss: 0.0020
Inferred coeffs for Djibouti: [3.0326817 1.0022666 0.7761265]
Epoch 0, train loss: 0.0112, val loss: 0.1210
Epoch 10, train loss: 0.0130, val loss: 0.0219
Epoch 20, train loss: 0.0026, val loss: 0.0261
Epoch 30, train loss: 0.0072, val loss: 0.0150
Epoch 40, train loss: 0.0026, val loss: 0.0167
Epoch 0, train loss: 0.0112, val loss: 0.1210
Epoch 10, train loss: 0.0130, val loss: 0.0219
Epoch 20, train loss: 0.0026, val loss: 0.0261
Epoch 30, train loss: 0.0072, val loss: 0.0150
Epoch 40, train loss: 0.0026, val loss: 0.0167
Epoch 50, train loss: 0.0087, val loss: 0.0167
Epoch 60, train loss: 0.0018, val loss: 0.0005
Epoch 70, train loss: 0.0008, val loss: 0.0099
Epoch 80, train loss: 0.0020, val loss: 0.0145
Epoch 90, train loss: 0.0038, val loss: 0.0040
Epoch 0, train loss: 0.0112, val loss: 0.0300
Epoch 10, train loss: 0.0026, val loss: 0.0132
Epoch 20, train loss: 0.0013, val loss: 0.0094
Epoch 30, train loss: 0.0010, val loss: 0.0057
Epoch 40, train loss: 0.0005, val loss: 0.0016
Epoch 0, train loss: 0.0112, val loss: 0.0300
Epoch 10, train loss: 0.0026, val loss: 0.0132
Epoch 20, train loss: 0.0013, val loss: 0.0094
Epoch 30, train loss: 0.0010, val loss: 0.0057
Epoch 40, train loss: 0.0005, val loss: 0.0016
Inferred coeffs for Guinea-Bissau: [3.3739197 1.0003685 1.0026805]