
Epoch 0, train loss: 0.0155, val loss: 0.0050
Epoch 10, train loss: 0.0029, val loss: 0.0029
Epoch 20, train loss: 0.0026, val loss: 0.0085
Epoch 30, train loss: 0.0032, val loss: 0.0024
Epoch 40, train loss: 0.0032, val loss: 0.0017
Epoch 0, train loss: 0.0155, val loss: 0.0050
Epoch 10, train loss: 0.0029, val loss: 0.0029
Epoch 20, train loss: 0.0026, val loss: 0.0085
Epoch 30, train loss: 0.0032, val loss: 0.0024
Epoch 40, train loss: 0.0032, val loss: 0.0017
Epoch 50, train loss: 0.0022, val loss: 0.0083
Epoch 60, train loss: 0.0021, val loss: 0.0057
Epoch 0, train loss: 0.0155, val loss: 0.0475
Epoch 10, train loss: 0.0021, val loss: 0.0077
Epoch 20, train loss: 0.0023, val loss: 0.0022
Epoch 30, train loss: 0.0024, val loss: 0.0010
Epoch 40, train loss: 0.0023, val loss: 0.0012
Epoch 0, train loss: 0.0155, val loss: 0.0475
Epoch 10, train loss: 0.0021, val loss: 0.0077
Epoch 20, train loss: 0.0023, val loss: 0.0022
Epoch 30, train loss: 0.0024, val loss: 0.0010
Epoch 40, train loss: 0.0023, val loss: 0.0012
Epoch 50, train loss: 0.0023, val loss: 0.0039
Epoch 60, train loss: 0.0021, val loss: 0.0036
Epoch 70, train loss: 0.0021, val loss: 0.0036
Inferred coeffs for Iceland: [2.4740376 2.4590478 0.0051813]
Epoch 0, train loss: 0.0176, val loss: 0.0013
Epoch 10, train loss: 0.0056, val loss: 0.0254
Epoch 20, train loss: 0.0047, val loss: 0.0110
Epoch 30, train loss: 0.0030, val loss: 0.0062
Epoch 40, train loss: 0.0026, val loss: 0.0028
Epoch 0, train loss: 0.0176, val loss: 0.0013
Epoch 10, train loss: 0.0056, val loss: 0.0254
Epoch 20, train loss: 0.0047, val loss: 0.0110
Epoch 30, train loss: 0.0030, val loss: 0.0062
Epoch 40, train loss: 0.0026, val loss: 0.0028
Epoch 50, train loss: 0.0023, val loss: 0.0025
Epoch 60, train loss: 0.0023, val loss: 0.0011
Epoch 70, train loss: 0.0023, val loss: 0.0018
Epoch 80, train loss: 0.0023, val loss: 0.0019
Epoch 90, train loss: 0.0023, val loss: 0.0037
Epoch 0, train loss: 0.0176, val loss: 0.0531
Epoch 10, train loss: 0.0023, val loss: 0.0056
Epoch 20, train loss: 0.0024, val loss: 0.0017
Epoch 30, train loss: 0.0025, val loss: 0.0009
Epoch 0, train loss: 0.0176, val loss: 0.0531
Epoch 10, train loss: 0.0023, val loss: 0.0056
Epoch 20, train loss: 0.0024, val loss: 0.0017
Epoch 30, train loss: 0.0025, val loss: 0.0009
Inferred coeffs for Canada: [2.4748201  2.4584112  0.00609484]
Epoch 0, train loss: 0.0070, val loss: 0.0182
Epoch 10, train loss: 0.0067, val loss: 0.0053
Epoch 20, train loss: 0.0019, val loss: 0.0251
Epoch 30, train loss: 0.0029, val loss: 0.0234
Epoch 40, train loss: 0.0020, val loss: 0.0149
Epoch 0, train loss: 0.0070, val loss: 0.0182
Epoch 10, train loss: 0.0067, val loss: 0.0053
Epoch 20, train loss: 0.0019, val loss: 0.0251
Epoch 30, train loss: 0.0029, val loss: 0.0234
Epoch 40, train loss: 0.0020, val loss: 0.0149
Epoch 0, train loss: 0.0070, val loss: 0.0347
Epoch 10, train loss: 0.0025, val loss: 0.0127
Epoch 20, train loss: 0.0023, val loss: 0.0230
Epoch 30, train loss: 0.0020, val loss: 0.0134
Epoch 0, train loss: 0.0070, val loss: 0.0347
Epoch 10, train loss: 0.0025, val loss: 0.0127
Epoch 20, train loss: 0.0023, val loss: 0.0230
Epoch 30, train loss: 0.0020, val loss: 0.0134
Inferred coeffs for Algeria: [2.4711294e+00 2.4615092e+00 1.7293094e-03]
Epoch 0, train loss: 0.0092, val loss: 0.0327
Epoch 10, train loss: 0.0094, val loss: 0.0258
Epoch 20, train loss: 0.0044, val loss: 0.0129
Epoch 30, train loss: 0.0007, val loss: 0.0092
Epoch 40, train loss: 0.0010, val loss: 0.0044
Epoch 0, train loss: 0.0092, val loss: 0.0327
Epoch 10, train loss: 0.0094, val loss: 0.0258
Epoch 20, train loss: 0.0044, val loss: 0.0129
Epoch 30, train loss: 0.0007, val loss: 0.0092
Epoch 40, train loss: 0.0010, val loss: 0.0044
Epoch 50, train loss: 0.0009, val loss: 0.0052
Epoch 0, train loss: 0.0092, val loss: 0.0199
Epoch 10, train loss: 0.0027, val loss: 0.0112
Epoch 20, train loss: 0.0011, val loss: 0.0036
Epoch 30, train loss: 0.0009, val loss: 0.0021
Epoch 40, train loss: 0.0008, val loss: 0.0049
Epoch 0, train loss: 0.0092, val loss: 0.0199
Epoch 10, train loss: 0.0027, val loss: 0.0112
Epoch 20, train loss: 0.0011, val loss: 0.0036
Epoch 30, train loss: 0.0009, val loss: 0.0021
Epoch 40, train loss: 0.0008, val loss: 0.0049
Inferred coeffs for Burkina Faso: [ 2.4688864e+00  2.4635034e+00 -6.7412265e-04]
Epoch 0, train loss: 0.0099, val loss: 0.0182
Epoch 10, train loss: 0.0035, val loss: 0.0126
Epoch 20, train loss: 0.0014, val loss: 0.0126
Epoch 30, train loss: 0.0011, val loss: 0.0106
Epoch 40, train loss: 0.0011, val loss: 0.0070
Epoch 0, train loss: 0.0099, val loss: 0.0182
Epoch 10, train loss: 0.0035, val loss: 0.0126
Epoch 20, train loss: 0.0014, val loss: 0.0126
Epoch 30, train loss: 0.0011, val loss: 0.0106
Epoch 40, train loss: 0.0011, val loss: 0.0070
Epoch 0, train loss: 0.0099, val loss: 0.0343
Epoch 10, train loss: 0.0032, val loss: 0.0019
Epoch 20, train loss: 0.0017, val loss: 0.0109
Epoch 30, train loss: 0.0012, val loss: 0.0063
Epoch 40, train loss: 0.0011, val loss: 0.0061
Epoch 0, train loss: 0.0099, val loss: 0.0343
Epoch 10, train loss: 0.0032, val loss: 0.0019
Epoch 20, train loss: 0.0017, val loss: 0.0109
Epoch 30, train loss: 0.0012, val loss: 0.0063
Epoch 40, train loss: 0.0011, val loss: 0.0061
Inferred coeffs for Ghana: [2.4717062  2.461373   0.00284671]
Epoch 0, train loss: 0.0088, val loss: 0.0271
Epoch 10, train loss: 0.0032, val loss: 0.0165
Epoch 20, train loss: 0.0014, val loss: 0.0070
Epoch 30, train loss: 0.0011, val loss: 0.0079
Epoch 40, train loss: 0.0018, val loss: 0.0009
Epoch 0, train loss: 0.0088, val loss: 0.0271
Epoch 10, train loss: 0.0032, val loss: 0.0165
Epoch 20, train loss: 0.0014, val loss: 0.0070
Epoch 30, train loss: 0.0011, val loss: 0.0079
Epoch 40, train loss: 0.0018, val loss: 0.0009
Epoch 50, train loss: 0.0013, val loss: 0.0018
Epoch 60, train loss: 0.0012, val loss: 0.0022
Epoch 70, train loss: 0.0012, val loss: 0.0012
Epoch 80, train loss: 0.0012, val loss: 0.0012
Epoch 0, train loss: 0.0088, val loss: 0.0255
Epoch 10, train loss: 0.0026, val loss: 0.0043
Epoch 20, train loss: 0.0014, val loss: 0.0030
Epoch 30, train loss: 0.0012, val loss: 0.0028
Epoch 40, train loss: 0.0012, val loss: 0.0008
Epoch 0, train loss: 0.0088, val loss: 0.0255
Epoch 10, train loss: 0.0026, val loss: 0.0043
Epoch 20, train loss: 0.0014, val loss: 0.0030
Epoch 30, train loss: 0.0012, val loss: 0.0028
Epoch 40, train loss: 0.0012, val loss: 0.0008
Epoch 50, train loss: 0.0011, val loss: 0.0009
Epoch 60, train loss: 0.0011, val loss: 0.0009
Epoch 70, train loss: 0.0011, val loss: 0.0009
Inferred coeffs for Cote d'Ivoire: [2.4702992e+00 2.4627788e+00 1.4393958e-03]
Epoch 0, train loss: 0.0120, val loss: 0.0284
Epoch 10, train loss: 0.0023, val loss: 0.0128
Epoch 20, train loss: 0.0021, val loss: 0.0036
Epoch 30, train loss: 0.0023, val loss: 0.0103
Epoch 0, train loss: 0.0120, val loss: 0.0284
Epoch 10, train loss: 0.0023, val loss: 0.0128
Epoch 20, train loss: 0.0021, val loss: 0.0036
Epoch 30, train loss: 0.0023, val loss: 0.0103
Epoch 0, train loss: 0.0120, val loss: 0.0240
Epoch 10, train loss: 0.0037, val loss: 0.0223
Epoch 20, train loss: 0.0023, val loss: 0.0042
Epoch 30, train loss: 0.0021, val loss: 0.0124
Epoch 0, train loss: 0.0120, val loss: 0.0240
Epoch 10, train loss: 0.0037, val loss: 0.0223
Epoch 20, train loss: 0.0023, val loss: 0.0042
Epoch 30, train loss: 0.0021, val loss: 0.0124
Inferred coeffs for Niger: [2.4698617e+00 2.4632239e+00 1.0087619e-03]
Epoch 0, train loss: 0.0087, val loss: 0.0296
Epoch 10, train loss: 0.0035, val loss: 0.0198
Epoch 20, train loss: 0.0026, val loss: 0.0028
Epoch 30, train loss: 0.0024, val loss: 0.0016
Epoch 40, train loss: 0.0015, val loss: 0.0058
Epoch 0, train loss: 0.0087, val loss: 0.0296
Epoch 10, train loss: 0.0035, val loss: 0.0198
Epoch 20, train loss: 0.0026, val loss: 0.0028
Epoch 30, train loss: 0.0024, val loss: 0.0016
Epoch 40, train loss: 0.0015, val loss: 0.0058
Epoch 50, train loss: 0.0018, val loss: 0.0015
Epoch 60, train loss: 0.0017, val loss: 0.0019
Epoch 70, train loss: 0.0017, val loss: 0.0019
Epoch 80, train loss: 0.0020, val loss: 0.0008
Epoch 90, train loss: 0.0016, val loss: 0.0009
Epoch 0, train loss: 0.0087, val loss: 0.0236
Epoch 10, train loss: 0.0027, val loss: 0.0056
Epoch 20, train loss: 0.0018, val loss: 0.0008
Epoch 30, train loss: 0.0016, val loss: 0.0007
Epoch 40, train loss: 0.0015, val loss: 0.0028
Epoch 0, train loss: 0.0087, val loss: 0.0236
Epoch 10, train loss: 0.0027, val loss: 0.0056
Epoch 20, train loss: 0.0018, val loss: 0.0008
Epoch 30, train loss: 0.0016, val loss: 0.0007
Epoch 40, train loss: 0.0015, val loss: 0.0028
Epoch 50, train loss: 0.0015, val loss: 0.0026
Epoch 60, train loss: 0.0015, val loss: 0.0016
Inferred coeffs for Tunisia: [2.4696014e+00 2.4630306e+00 6.7079782e-05]
Epoch 0, train loss: 0.0043, val loss: 0.0371
Epoch 10, train loss: 0.0072, val loss: 0.0038
Epoch 20, train loss: 0.0023, val loss: 0.0097
Epoch 30, train loss: 0.0009, val loss: 0.0195
Epoch 40, train loss: 0.0016, val loss: 0.0058
Epoch 0, train loss: 0.0043, val loss: 0.0371
Epoch 10, train loss: 0.0072, val loss: 0.0038
Epoch 20, train loss: 0.0023, val loss: 0.0097
Epoch 30, train loss: 0.0009, val loss: 0.0195
Epoch 40, train loss: 0.0016, val loss: 0.0058
Epoch 0, train loss: 0.0043, val loss: 0.0184
Epoch 10, train loss: 0.0014, val loss: 0.0155
Epoch 20, train loss: 0.0010, val loss: 0.0116
Epoch 30, train loss: 0.0009, val loss: 0.0118
Epoch 0, train loss: 0.0043, val loss: 0.0184
Epoch 10, train loss: 0.0014, val loss: 0.0155
Epoch 20, train loss: 0.0010, val loss: 0.0116
Epoch 30, train loss: 0.0009, val loss: 0.0118
Inferred coeffs for Belgium: [ 2.4691772e+00  2.4635975e+00 -1.9224115e-05]
Epoch 0, train loss: 0.0060, val loss: 0.0487
Epoch 10, train loss: 0.0082, val loss: 0.0053
Epoch 20, train loss: 0.0012, val loss: 0.0207
Epoch 30, train loss: 0.0012, val loss: 0.0122
Epoch 40, train loss: 0.0016, val loss: 0.0110
Epoch 0, train loss: 0.0060, val loss: 0.0487
Epoch 10, train loss: 0.0082, val loss: 0.0053
Epoch 20, train loss: 0.0012, val loss: 0.0207
Epoch 30, train loss: 0.0012, val loss: 0.0122
Epoch 40, train loss: 0.0016, val loss: 0.0110
Epoch 50, train loss: 0.0004, val loss: 0.0176
Epoch 60, train loss: 0.0003, val loss: 0.0086
Epoch 70, train loss: 0.0008, val loss: 0.0044
Epoch 0, train loss: 0.0060, val loss: 0.0213
Epoch 10, train loss: 0.0015, val loss: 0.0146
Epoch 20, train loss: 0.0004, val loss: 0.0116
Epoch 30, train loss: 0.0006, val loss: 0.0109
Epoch 0, train loss: 0.0060, val loss: 0.0213
Epoch 10, train loss: 0.0015, val loss: 0.0146
Epoch 20, train loss: 0.0004, val loss: 0.0116
Epoch 30, train loss: 0.0006, val loss: 0.0109
Inferred coeffs for Germany: [ 2.4684808e+00  2.4636981e+00 -9.6596166e-04]
Epoch 0, train loss: 0.0104, val loss: 0.0184
Epoch 10, train loss: 0.0020, val loss: 0.0044
Epoch 20, train loss: 0.0020, val loss: 0.0043
Epoch 30, train loss: 0.0017, val loss: 0.0038
Epoch 0, train loss: 0.0104, val loss: 0.0184
Epoch 10, train loss: 0.0020, val loss: 0.0044
Epoch 20, train loss: 0.0020, val loss: 0.0043
Epoch 30, train loss: 0.0017, val loss: 0.0038
Epoch 0, train loss: 0.0104, val loss: 0.0342
Epoch 10, train loss: 0.0033, val loss: 0.0037
Epoch 20, train loss: 0.0022, val loss: 0.0077
Epoch 30, train loss: 0.0016, val loss: 0.0035
Epoch 40, train loss: 0.0016, val loss: 0.0040
Epoch 0, train loss: 0.0104, val loss: 0.0342
Epoch 10, train loss: 0.0033, val loss: 0.0037
Epoch 20, train loss: 0.0022, val loss: 0.0077
Epoch 30, train loss: 0.0016, val loss: 0.0035
Epoch 40, train loss: 0.0016, val loss: 0.0040
Epoch 50, train loss: 0.0016, val loss: 0.0023
Inferred coeffs for Estonia: [2.4716873  2.4612305  0.00263933]
Epoch 0, train loss: 0.0357, val loss: 0.1099
Epoch 10, train loss: 0.0150, val loss: 0.0727
Epoch 20, train loss: 0.0120, val loss: 0.0448
Epoch 30, train loss: 0.0127, val loss: 0.0179
Epoch 0, train loss: 0.0357, val loss: 0.1099
Epoch 10, train loss: 0.0150, val loss: 0.0727
Epoch 20, train loss: 0.0120, val loss: 0.0448
Epoch 30, train loss: 0.0127, val loss: 0.0179
Epoch 0, train loss: 0.0357, val loss: 0.1640
Epoch 10, train loss: 0.0210, val loss: 0.1057
Epoch 20, train loss: 0.0133, val loss: 0.0547
Epoch 30, train loss: 0.0122, val loss: 0.0226
Epoch 40, train loss: 0.0123, val loss: 0.0247
Epoch 0, train loss: 0.0357, val loss: 0.1640
Epoch 10, train loss: 0.0210, val loss: 0.1057
Epoch 20, train loss: 0.0133, val loss: 0.0547
Epoch 30, train loss: 0.0122, val loss: 0.0226
Epoch 40, train loss: 0.0123, val loss: 0.0247
Epoch 50, train loss: 0.0120, val loss: 0.0362
Epoch 60, train loss: 0.0120, val loss: 0.0347
Inferred coeffs for Ireland: [2.4928975  2.4402337  0.02410042]
Epoch 0, train loss: 0.0256, val loss: 0.0351
Epoch 10, train loss: 0.0077, val loss: 0.0135
Epoch 20, train loss: 0.0071, val loss: 0.0058
Epoch 30, train loss: 0.0069, val loss: 0.0130
Epoch 40, train loss: 0.0069, val loss: 0.0115
Epoch 0, train loss: 0.0256, val loss: 0.0351
Epoch 10, train loss: 0.0077, val loss: 0.0135
Epoch 20, train loss: 0.0071, val loss: 0.0058
Epoch 30, train loss: 0.0069, val loss: 0.0130
Epoch 40, train loss: 0.0069, val loss: 0.0115
Epoch 0, train loss: 0.0256, val loss: 0.0880
Epoch 10, train loss: 0.0125, val loss: 0.0315
Epoch 20, train loss: 0.0072, val loss: 0.0152
Epoch 30, train loss: 0.0072, val loss: 0.0039
Epoch 40, train loss: 0.0073, val loss: 0.0044
Epoch 0, train loss: 0.0256, val loss: 0.0880
Epoch 10, train loss: 0.0125, val loss: 0.0315
Epoch 20, train loss: 0.0072, val loss: 0.0152
Epoch 30, train loss: 0.0072, val loss: 0.0039
Epoch 40, train loss: 0.0073, val loss: 0.0044
Epoch 50, train loss: 0.0071, val loss: 0.0100
Epoch 60, train loss: 0.0070, val loss: 0.0080
Inferred coeffs for Luxembourg: [2.480917   2.4521966  0.01209869]
Epoch 0, train loss: 0.0497, val loss: 0.1066
Epoch 10, train loss: 0.0117, val loss: 0.0286
Epoch 20, train loss: 0.0085, val loss: 0.0148
Epoch 30, train loss: 0.0076, val loss: 0.0069
Epoch 40, train loss: 0.0071, val loss: 0.0047
Epoch 0, train loss: 0.0497, val loss: 0.1066
Epoch 10, train loss: 0.0117, val loss: 0.0286
Epoch 20, train loss: 0.0085, val loss: 0.0148
Epoch 30, train loss: 0.0076, val loss: 0.0069
Epoch 40, train loss: 0.0071, val loss: 0.0047
Epoch 50, train loss: 0.0066, val loss: 0.0108
Epoch 60, train loss: 0.0065, val loss: 0.0074
Epoch 0, train loss: 0.0497, val loss: 0.1614
Epoch 10, train loss: 0.0319, val loss: 0.1009
Epoch 20, train loss: 0.0169, val loss: 0.0429
Epoch 30, train loss: 0.0066, val loss: 0.0103
Epoch 40, train loss: 0.0078, val loss: 0.0163
Epoch 0, train loss: 0.0497, val loss: 0.1614
Epoch 10, train loss: 0.0319, val loss: 0.1009
Epoch 20, train loss: 0.0169, val loss: 0.0429
Epoch 30, train loss: 0.0066, val loss: 0.0103
Epoch 40, train loss: 0.0078, val loss: 0.0163
Epoch 50, train loss: 0.0071, val loss: 0.0047
Epoch 60, train loss: 0.0067, val loss: 0.0066
Epoch 70, train loss: 0.0065, val loss: 0.0097
Epoch 80, train loss: 0.0065, val loss: 0.0085
Inferred coeffs for Norway: [2.492467   2.4406614  0.02362767]
Epoch 0, train loss: 0.0422, val loss: 0.1268
Epoch 10, train loss: 0.0154, val loss: 0.0871
Epoch 20, train loss: 0.0137, val loss: 0.0147
Epoch 30, train loss: 0.0117, val loss: 0.0326
Epoch 0, train loss: 0.0422, val loss: 0.1268
Epoch 10, train loss: 0.0154, val loss: 0.0871
Epoch 20, train loss: 0.0137, val loss: 0.0147
Epoch 30, train loss: 0.0117, val loss: 0.0326
Epoch 0, train loss: 0.0422, val loss: 0.1816
Epoch 10, train loss: 0.0250, val loss: 0.1213
Epoch 20, train loss: 0.0141, val loss: 0.0665
Epoch 30, train loss: 0.0119, val loss: 0.0288
Epoch 40, train loss: 0.0124, val loss: 0.0213
Epoch 0, train loss: 0.0422, val loss: 0.1816
Epoch 10, train loss: 0.0250, val loss: 0.1213
Epoch 20, train loss: 0.0141, val loss: 0.0665
Epoch 30, train loss: 0.0119, val loss: 0.0288
Epoch 40, train loss: 0.0124, val loss: 0.0213
Epoch 50, train loss: 0.0119, val loss: 0.0317
Epoch 60, train loss: 0.0117, val loss: 0.0428
Inferred coeffs for Poland: [2.4972234  2.4357605  0.02824911]
Epoch 0, train loss: 0.0035, val loss: 0.0430
Epoch 10, train loss: 0.0078, val loss: 0.0093
Epoch 20, train loss: 0.0024, val loss: 0.0049
Epoch 30, train loss: 0.0004, val loss: 0.0041
Epoch 40, train loss: 0.0047, val loss: 0.0083
Epoch 0, train loss: 0.0035, val loss: 0.0430
Epoch 10, train loss: 0.0078, val loss: 0.0093
Epoch 20, train loss: 0.0024, val loss: 0.0049
Epoch 30, train loss: 0.0004, val loss: 0.0041
Epoch 40, train loss: 0.0047, val loss: 0.0083
Epoch 50, train loss: 0.0030, val loss: 0.0092
Epoch 0, train loss: 0.0035, val loss: 0.0116
Epoch 10, train loss: 0.0005, val loss: 0.0050
Epoch 20, train loss: 0.0002, val loss: 0.0075
Epoch 30, train loss: 0.0003, val loss: 0.0056
Epoch 0, train loss: 0.0035, val loss: 0.0116
Epoch 10, train loss: 0.0005, val loss: 0.0050
Epoch 20, train loss: 0.0002, val loss: 0.0075
Epoch 30, train loss: 0.0003, val loss: 0.0056
Inferred coeffs for Sweden: [ 2.4674790e+00  2.4650626e+00 -2.0056106e-03]
Epoch 0, train loss: 0.0235, val loss: 0.0125
Epoch 10, train loss: 0.0068, val loss: 0.0134
Epoch 20, train loss: 0.0049, val loss: 0.0219
Epoch 30, train loss: 0.0055, val loss: 0.0153
Epoch 40, train loss: 0.0049, val loss: 0.0045
Epoch 0, train loss: 0.0235, val loss: 0.0125
Epoch 10, train loss: 0.0068, val loss: 0.0134
Epoch 20, train loss: 0.0049, val loss: 0.0219
Epoch 30, train loss: 0.0055, val loss: 0.0153
Epoch 40, train loss: 0.0049, val loss: 0.0045
Epoch 50, train loss: 0.0048, val loss: 0.0116
Epoch 0, train loss: 0.0235, val loss: 0.0650
Epoch 10, train loss: 0.0085, val loss: 0.0079
Epoch 20, train loss: 0.0068, val loss: 0.0263
Epoch 30, train loss: 0.0048, val loss: 0.0075
Epoch 40, train loss: 0.0048, val loss: 0.0105
Epoch 0, train loss: 0.0235, val loss: 0.0650
Epoch 10, train loss: 0.0085, val loss: 0.0079
Epoch 20, train loss: 0.0068, val loss: 0.0263
Epoch 30, train loss: 0.0048, val loss: 0.0075
Epoch 40, train loss: 0.0048, val loss: 0.0105
Inferred coeffs for South Africa: [2.4768028  2.4556768  0.00716811]
Epoch 0, train loss: 0.0087, val loss: 0.0247
Epoch 10, train loss: 0.0030, val loss: 0.0189
Epoch 20, train loss: 0.0037, val loss: 0.0111
Epoch 30, train loss: 0.0031, val loss: 0.0065
Epoch 0, train loss: 0.0087, val loss: 0.0247
Epoch 10, train loss: 0.0030, val loss: 0.0189
Epoch 20, train loss: 0.0037, val loss: 0.0111
Epoch 30, train loss: 0.0031, val loss: 0.0065
Epoch 0, train loss: 0.0087, val loss: 0.0277
Epoch 10, train loss: 0.0037, val loss: 0.0054
Epoch 20, train loss: 0.0030, val loss: 0.0082
Epoch 30, train loss: 0.0030, val loss: 0.0059
Epoch 40, train loss: 0.0030, val loss: 0.0013
Epoch 0, train loss: 0.0087, val loss: 0.0277
Epoch 10, train loss: 0.0037, val loss: 0.0054
Epoch 20, train loss: 0.0030, val loss: 0.0082
Epoch 30, train loss: 0.0030, val loss: 0.0059
Epoch 40, train loss: 0.0030, val loss: 0.0013
Epoch 50, train loss: 0.0029, val loss: 0.0028
Epoch 60, train loss: 0.0030, val loss: 0.0016
Epoch 70, train loss: 0.0030, val loss: 0.0020
Inferred coeffs for Cameroon: [2.4705129e+00 2.4625866e+00 1.6731232e-03]
Epoch 0, train loss: 0.0074, val loss: 0.0336
Epoch 10, train loss: 0.0035, val loss: 0.0014
Epoch 20, train loss: 0.0033, val loss: 0.0166
Epoch 30, train loss: 0.0038, val loss: 0.0055
Epoch 40, train loss: 0.0023, val loss: 0.0118
Epoch 0, train loss: 0.0074, val loss: 0.0336
Epoch 10, train loss: 0.0035, val loss: 0.0014
Epoch 20, train loss: 0.0033, val loss: 0.0166
Epoch 30, train loss: 0.0038, val loss: 0.0055
Epoch 40, train loss: 0.0023, val loss: 0.0118
Epoch 0, train loss: 0.0074, val loss: 0.0188
Epoch 10, train loss: 0.0018, val loss: 0.0029
Epoch 20, train loss: 0.0005, val loss: 0.0021
Epoch 30, train loss: 0.0005, val loss: 0.0002
Epoch 40, train loss: 0.0004, val loss: 0.0007
Epoch 0, train loss: 0.0074, val loss: 0.0188
Epoch 10, train loss: 0.0018, val loss: 0.0029
Epoch 20, train loss: 0.0005, val loss: 0.0021
Epoch 30, train loss: 0.0005, val loss: 0.0002
Epoch 40, train loss: 0.0004, val loss: 0.0007
Epoch 50, train loss: 0.0004, val loss: 0.0003
Epoch 60, train loss: 0.0004, val loss: 0.0002
Inferred coeffs for Mali: [2.4690888e+00 2.4639826e+00 2.2093851e-04]
Epoch 0, train loss: 0.0061, val loss: 0.0170
Epoch 10, train loss: 0.0070, val loss: 0.0251
Epoch 20, train loss: 0.0022, val loss: 0.0345
Epoch 30, train loss: 0.0014, val loss: 0.0464
Epoch 0, train loss: 0.0061, val loss: 0.0170
Epoch 10, train loss: 0.0070, val loss: 0.0251
Epoch 20, train loss: 0.0022, val loss: 0.0345
Epoch 30, train loss: 0.0014, val loss: 0.0464
Epoch 0, train loss: 0.0061, val loss: 0.0489
Epoch 10, train loss: 0.0016, val loss: 0.0372
Epoch 20, train loss: 0.0016, val loss: 0.0338
Epoch 30, train loss: 0.0015, val loss: 0.0409
Epoch 0, train loss: 0.0061, val loss: 0.0489
Epoch 10, train loss: 0.0016, val loss: 0.0372
Epoch 20, train loss: 0.0016, val loss: 0.0338
Epoch 30, train loss: 0.0015, val loss: 0.0409
Inferred coeffs for Spain: [2.4710481e+00 2.4617424e+00 1.9307373e-03]
Epoch 0, train loss: 0.0105, val loss: 0.0115
Epoch 10, train loss: 0.0033, val loss: 0.0186
Epoch 20, train loss: 0.0030, val loss: 0.0048
Epoch 30, train loss: 0.0032, val loss: 0.0142
Epoch 0, train loss: 0.0105, val loss: 0.0115
Epoch 10, train loss: 0.0033, val loss: 0.0186
Epoch 20, train loss: 0.0030, val loss: 0.0048
Epoch 30, train loss: 0.0032, val loss: 0.0142
Epoch 0, train loss: 0.0105, val loss: 0.0424
Epoch 10, train loss: 0.0043, val loss: 0.0002
Epoch 20, train loss: 0.0033, val loss: 0.0168
Epoch 30, train loss: 0.0030, val loss: 0.0088
Epoch 40, train loss: 0.0030, val loss: 0.0103
Epoch 0, train loss: 0.0105, val loss: 0.0424
Epoch 10, train loss: 0.0043, val loss: 0.0002
Epoch 20, train loss: 0.0033, val loss: 0.0168
Epoch 30, train loss: 0.0030, val loss: 0.0088
Epoch 40, train loss: 0.0030, val loss: 0.0103
Inferred coeffs for Morocco: [2.4729674  2.4601197  0.00411636]
Epoch 0, train loss: 0.0061, val loss: 0.0312
Epoch 10, train loss: 0.0048, val loss: 0.0010
Epoch 20, train loss: 0.0027, val loss: 0.0157
Epoch 30, train loss: 0.0018, val loss: 0.0006
Epoch 40, train loss: 0.0016, val loss: 0.0064
Epoch 0, train loss: 0.0061, val loss: 0.0312
Epoch 10, train loss: 0.0048, val loss: 0.0010
Epoch 20, train loss: 0.0027, val loss: 0.0157
Epoch 30, train loss: 0.0018, val loss: 0.0006
Epoch 40, train loss: 0.0016, val loss: 0.0064
Epoch 0, train loss: 0.0061, val loss: 0.0212
Epoch 10, train loss: 0.0013, val loss: 0.0073
Epoch 20, train loss: 0.0013, val loss: 0.0035
Epoch 30, train loss: 0.0015, val loss: 0.0086
Epoch 0, train loss: 0.0061, val loss: 0.0212
Epoch 10, train loss: 0.0013, val loss: 0.0073
Epoch 20, train loss: 0.0013, val loss: 0.0035
Epoch 30, train loss: 0.0015, val loss: 0.0086
Inferred coeffs for Guinea: [2.4693086e+00 2.4633412e+00 1.5403313e-05]
Epoch 0, train loss: 0.0039, val loss: 0.0397
Epoch 10, train loss: 0.0071, val loss: 0.0075
Epoch 20, train loss: 0.0008, val loss: 0.0020
Epoch 30, train loss: 0.0006, val loss: 0.0093
Epoch 40, train loss: 0.0006, val loss: 0.0036
Epoch 0, train loss: 0.0039, val loss: 0.0397
Epoch 10, train loss: 0.0071, val loss: 0.0075
Epoch 20, train loss: 0.0008, val loss: 0.0020
Epoch 30, train loss: 0.0006, val loss: 0.0093
Epoch 40, train loss: 0.0006, val loss: 0.0036
Epoch 0, train loss: 0.0039, val loss: 0.0127
Epoch 10, train loss: 0.0012, val loss: 0.0089
Epoch 20, train loss: 0.0006, val loss: 0.0081
Epoch 30, train loss: 0.0006, val loss: 0.0063
Epoch 0, train loss: 0.0039, val loss: 0.0127
Epoch 10, train loss: 0.0012, val loss: 0.0089
Epoch 20, train loss: 0.0006, val loss: 0.0081
Epoch 30, train loss: 0.0006, val loss: 0.0063
Inferred coeffs for Somalia: [ 2.4679101e+00  2.4651747e+00 -9.4381254e-04]
Epoch 0, train loss: 0.0046, val loss: 0.0396
Epoch 10, train loss: 0.0066, val loss: 0.0063
Epoch 20, train loss: 0.0024, val loss: 0.0066
Epoch 30, train loss: 0.0010, val loss: 0.0100
Epoch 40, train loss: 0.0009, val loss: 0.0080
Epoch 0, train loss: 0.0046, val loss: 0.0396
Epoch 10, train loss: 0.0066, val loss: 0.0063
Epoch 20, train loss: 0.0024, val loss: 0.0066
Epoch 30, train loss: 0.0010, val loss: 0.0100
Epoch 40, train loss: 0.0009, val loss: 0.0080
Epoch 50, train loss: 0.0009, val loss: 0.0041
Epoch 0, train loss: 0.0046, val loss: 0.0144
Epoch 10, train loss: 0.0012, val loss: 0.0097
Epoch 20, train loss: 0.0011, val loss: 0.0035
Epoch 30, train loss: 0.0009, val loss: 0.0037
Epoch 0, train loss: 0.0046, val loss: 0.0144
Epoch 10, train loss: 0.0012, val loss: 0.0097
Epoch 20, train loss: 0.0011, val loss: 0.0035
Epoch 30, train loss: 0.0009, val loss: 0.0037
Inferred coeffs for Egypt: [ 2.4682918e+00  2.4647923e+00 -5.6371331e-04]
Epoch 0, train loss: 0.0087, val loss: 0.0344
Epoch 10, train loss: 0.0079, val loss: 0.0264
Epoch 20, train loss: 0.0009, val loss: 0.0065
Epoch 30, train loss: 0.0041, val loss: 0.0075
Epoch 40, train loss: 0.0008, val loss: 0.0126
Epoch 0, train loss: 0.0087, val loss: 0.0344
Epoch 10, train loss: 0.0079, val loss: 0.0264
Epoch 20, train loss: 0.0009, val loss: 0.0065
Epoch 30, train loss: 0.0041, val loss: 0.0075
Epoch 40, train loss: 0.0008, val loss: 0.0126
Epoch 50, train loss: 0.0019, val loss: 0.0020
Epoch 60, train loss: 0.0016, val loss: 0.0096
Epoch 70, train loss: 0.0009, val loss: 0.0064
Epoch 0, train loss: 0.0087, val loss: 0.0183
Epoch 10, train loss: 0.0026, val loss: 0.0110
Epoch 20, train loss: 0.0006, val loss: 0.0049
Epoch 30, train loss: 0.0007, val loss: 0.0021
Epoch 40, train loss: 0.0006, val loss: 0.0045
Epoch 0, train loss: 0.0087, val loss: 0.0183
Epoch 10, train loss: 0.0026, val loss: 0.0110
Epoch 20, train loss: 0.0006, val loss: 0.0049
Epoch 30, train loss: 0.0007, val loss: 0.0021
Epoch 40, train loss: 0.0006, val loss: 0.0045
Inferred coeffs for Albania: [ 2.4685457e+00  2.4636288e+00 -1.5081924e-03]
Epoch 0, train loss: 0.0112, val loss: 0.0284
Epoch 10, train loss: 0.0020, val loss: 0.0057
Epoch 20, train loss: 0.0011, val loss: 0.0020
Epoch 30, train loss: 0.0015, val loss: 0.0072
Epoch 0, train loss: 0.0112, val loss: 0.0284
Epoch 10, train loss: 0.0020, val loss: 0.0057
Epoch 20, train loss: 0.0011, val loss: 0.0020
Epoch 30, train loss: 0.0015, val loss: 0.0072
Epoch 0, train loss: 0.0112, val loss: 0.0246
Epoch 10, train loss: 0.0032, val loss: 0.0162
Epoch 20, train loss: 0.0018, val loss: 0.0015
Epoch 30, train loss: 0.0011, val loss: 0.0081
Epoch 40, train loss: 0.0010, val loss: 0.0067
Epoch 0, train loss: 0.0112, val loss: 0.0246
Epoch 10, train loss: 0.0032, val loss: 0.0162
Epoch 20, train loss: 0.0018, val loss: 0.0015
Epoch 30, train loss: 0.0011, val loss: 0.0081
Epoch 40, train loss: 0.0010, val loss: 0.0067
Inferred coeffs for Bulgaria: [2.4701443e+00 2.4629235e+00 1.2697938e-03]
Epoch 0, train loss: 0.0100, val loss: 0.0284
Epoch 10, train loss: 0.0018, val loss: 0.0071
Epoch 20, train loss: 0.0010, val loss: 0.0093
Epoch 30, train loss: 0.0008, val loss: 0.0059
Epoch 40, train loss: 0.0008, val loss: 0.0013
Epoch 0, train loss: 0.0100, val loss: 0.0284
Epoch 10, train loss: 0.0018, val loss: 0.0071
Epoch 20, train loss: 0.0010, val loss: 0.0093
Epoch 30, train loss: 0.0008, val loss: 0.0059
Epoch 40, train loss: 0.0008, val loss: 0.0013
Epoch 50, train loss: 0.0007, val loss: 0.0020
Epoch 60, train loss: 0.0007, val loss: 0.0029
Epoch 0, train loss: 0.0100, val loss: 0.0248
Epoch 10, train loss: 0.0027, val loss: 0.0098
Epoch 20, train loss: 0.0013, val loss: 0.0008
Epoch 30, train loss: 0.0008, val loss: 0.0011
Epoch 40, train loss: 0.0008, val loss: 0.0035
Epoch 0, train loss: 0.0100, val loss: 0.0248
Epoch 10, train loss: 0.0027, val loss: 0.0098
Epoch 20, train loss: 0.0013, val loss: 0.0008
Epoch 30, train loss: 0.0008, val loss: 0.0011
Epoch 40, train loss: 0.0008, val loss: 0.0035
Epoch 50, train loss: 0.0007, val loss: 0.0035
Inferred coeffs for Cyprus: [2.4698422e+00 2.4628799e+00 5.7253143e-04]
Epoch 0, train loss: 0.0084, val loss: 0.0193
Epoch 10, train loss: 0.0028, val loss: 0.0223
Epoch 20, train loss: 0.0030, val loss: 0.0162
Epoch 30, train loss: 0.0028, val loss: 0.0080
Epoch 0, train loss: 0.0084, val loss: 0.0193
Epoch 10, train loss: 0.0028, val loss: 0.0223
Epoch 20, train loss: 0.0030, val loss: 0.0162
Epoch 30, train loss: 0.0028, val loss: 0.0080
Epoch 0, train loss: 0.0084, val loss: 0.0344
Epoch 10, train loss: 0.0037, val loss: 0.0023
Epoch 20, train loss: 0.0031, val loss: 0.0178
Epoch 30, train loss: 0.0028, val loss: 0.0083
Epoch 0, train loss: 0.0084, val loss: 0.0344
Epoch 10, train loss: 0.0037, val loss: 0.0023
Epoch 20, train loss: 0.0031, val loss: 0.0178
Epoch 30, train loss: 0.0028, val loss: 0.0083
Inferred coeffs for Croatia: [2.4716115  2.461475   0.00275959]
Epoch 0, train loss: 0.0157, val loss: 0.0040
Epoch 10, train loss: 0.0054, val loss: 0.0201
Epoch 20, train loss: 0.0035, val loss: 0.0012
Epoch 30, train loss: 0.0030, val loss: 0.0040
Epoch 40, train loss: 0.0023, val loss: 0.0090
Epoch 0, train loss: 0.0157, val loss: 0.0040
Epoch 10, train loss: 0.0054, val loss: 0.0201
Epoch 20, train loss: 0.0035, val loss: 0.0012
Epoch 30, train loss: 0.0030, val loss: 0.0040
Epoch 40, train loss: 0.0023, val loss: 0.0090
Epoch 50, train loss: 0.0023, val loss: 0.0028
Epoch 60, train loss: 0.0022, val loss: 0.0027
Epoch 70, train loss: 0.0022, val loss: 0.0038
Epoch 0, train loss: 0.0157, val loss: 0.0525
Epoch 10, train loss: 0.0029, val loss: 0.0053
Epoch 20, train loss: 0.0024, val loss: 0.0092
Epoch 30, train loss: 0.0022, val loss: 0.0025
Epoch 40, train loss: 0.0022, val loss: 0.0052
Epoch 0, train loss: 0.0157, val loss: 0.0525
Epoch 10, train loss: 0.0029, val loss: 0.0053
Epoch 20, train loss: 0.0024, val loss: 0.0092
Epoch 30, train loss: 0.0022, val loss: 0.0025
Epoch 40, train loss: 0.0022, val loss: 0.0052
Epoch 50, train loss: 0.0022, val loss: 0.0016
Epoch 60, train loss: 0.0022, val loss: 0.0034
Inferred coeffs for Greece: [2.4741108  2.4587924  0.00499655]
Epoch 0, train loss: 0.0104, val loss: 0.0139
Epoch 10, train loss: 0.0033, val loss: 0.0197
Epoch 20, train loss: 0.0024, val loss: 0.0130
Epoch 30, train loss: 0.0019, val loss: 0.0037
Epoch 40, train loss: 0.0030, val loss: 0.0174
Epoch 0, train loss: 0.0104, val loss: 0.0139
Epoch 10, train loss: 0.0033, val loss: 0.0197
Epoch 20, train loss: 0.0024, val loss: 0.0130
Epoch 30, train loss: 0.0019, val loss: 0.0037
Epoch 40, train loss: 0.0030, val loss: 0.0174
Epoch 50, train loss: 0.0024, val loss: 0.0119
Epoch 60, train loss: 0.0018, val loss: 0.0105
Epoch 0, train loss: 0.0104, val loss: 0.0391
Epoch 10, train loss: 0.0033, val loss: 0.0024
Epoch 20, train loss: 0.0023, val loss: 0.0134
Epoch 30, train loss: 0.0017, val loss: 0.0069
Epoch 0, train loss: 0.0104, val loss: 0.0391
Epoch 10, train loss: 0.0033, val loss: 0.0024
Epoch 20, train loss: 0.0023, val loss: 0.0134
Epoch 30, train loss: 0.0017, val loss: 0.0069
Inferred coeffs for Hungary: [2.4724817  2.460603   0.00362685]
Epoch 0, train loss: 0.0221, val loss: 0.1797
Epoch 10, train loss: 0.0162, val loss: 0.2105
Epoch 20, train loss: 0.0146, val loss: 0.2060
Epoch 30, train loss: 0.0149, val loss: 0.1827
Epoch 0, train loss: 0.0221, val loss: 0.1797
Epoch 10, train loss: 0.0162, val loss: 0.2105
Epoch 20, train loss: 0.0146, val loss: 0.2060
Epoch 30, train loss: 0.0149, val loss: 0.1827
Epoch 0, train loss: 0.0221, val loss: 0.2415
Epoch 10, train loss: 0.0146, val loss: 0.1873
Epoch 20, train loss: 0.0150, val loss: 0.1746
Epoch 30, train loss: 0.0145, val loss: 0.1891
Epoch 40, train loss: 0.0146, val loss: 0.1967
Epoch 0, train loss: 0.0221, val loss: 0.2415
Epoch 10, train loss: 0.0146, val loss: 0.1873
Epoch 20, train loss: 0.0150, val loss: 0.1746
Epoch 30, train loss: 0.0145, val loss: 0.1891
Epoch 40, train loss: 0.0146, val loss: 0.1967
Inferred coeffs for Italy: [2.4827604  2.4503167  0.01390019]
Epoch 0, train loss: 0.0173, val loss: 0.0145
Epoch 10, train loss: 0.0061, val loss: 0.0374
Epoch 20, train loss: 0.0050, val loss: 0.0244
Epoch 30, train loss: 0.0020, val loss: 0.0049
Epoch 40, train loss: 0.0017, val loss: 0.0180
Epoch 0, train loss: 0.0173, val loss: 0.0145
Epoch 10, train loss: 0.0061, val loss: 0.0374
Epoch 20, train loss: 0.0050, val loss: 0.0244
Epoch 30, train loss: 0.0020, val loss: 0.0049
Epoch 40, train loss: 0.0017, val loss: 0.0180
Epoch 50, train loss: 0.0017, val loss: 0.0115
Epoch 0, train loss: 0.0173, val loss: 0.0380
Epoch 10, train loss: 0.0017, val loss: 0.0190
Epoch 20, train loss: 0.0020, val loss: 0.0154
Epoch 30, train loss: 0.0021, val loss: 0.0090
Epoch 0, train loss: 0.0173, val loss: 0.0380
Epoch 10, train loss: 0.0017, val loss: 0.0190
Epoch 20, train loss: 0.0020, val loss: 0.0154
Epoch 30, train loss: 0.0021, val loss: 0.0090
Inferred coeffs for Slovenia: [2.4722304  2.4601393  0.00251082]
Epoch 0, train loss: 0.0152, val loss: 0.0800
Epoch 10, train loss: 0.0093, val loss: 0.0785
Epoch 20, train loss: 0.0086, val loss: 0.0871
Epoch 30, train loss: 0.0084, val loss: 0.0955
Epoch 0, train loss: 0.0152, val loss: 0.0800
Epoch 10, train loss: 0.0093, val loss: 0.0785
Epoch 20, train loss: 0.0086, val loss: 0.0871
Epoch 30, train loss: 0.0084, val loss: 0.0955
Epoch 0, train loss: 0.0152, val loss: 0.1333
Epoch 10, train loss: 0.0087, val loss: 0.0878
Epoch 20, train loss: 0.0088, val loss: 0.0907
Epoch 30, train loss: 0.0084, val loss: 0.1065
Epoch 40, train loss: 0.0084, val loss: 0.1041
Epoch 0, train loss: 0.0152, val loss: 0.1333
Epoch 10, train loss: 0.0087, val loss: 0.0878
Epoch 20, train loss: 0.0088, val loss: 0.0907
Epoch 30, train loss: 0.0084, val loss: 0.1065
Epoch 40, train loss: 0.0084, val loss: 0.1041
Inferred coeffs for Israel: [2.478147   2.4549227  0.00927477]
Epoch 0, train loss: 0.0731, val loss: 0.2744
Epoch 10, train loss: 0.0348, val loss: 0.0153
Epoch 20, train loss: 0.0341, val loss: 0.1169
Epoch 30, train loss: 0.0322, val loss: 0.0295
Epoch 0, train loss: 0.0731, val loss: 0.2744
Epoch 10, train loss: 0.0348, val loss: 0.0153
Epoch 20, train loss: 0.0341, val loss: 0.1169
Epoch 30, train loss: 0.0322, val loss: 0.0295
Epoch 0, train loss: 0.0731, val loss: 0.3300
Epoch 10, train loss: 0.0567, val loss: 0.2692
Epoch 20, train loss: 0.0453, val loss: 0.2131
Epoch 30, train loss: 0.0381, val loss: 0.1639
Epoch 40, train loss: 0.0345, val loss: 0.1248
Epoch 0, train loss: 0.0731, val loss: 0.3300
Epoch 10, train loss: 0.0567, val loss: 0.2692
Epoch 20, train loss: 0.0453, val loss: 0.2131
Epoch 30, train loss: 0.0381, val loss: 0.1639
Epoch 40, train loss: 0.0345, val loss: 0.1248
Epoch 50, train loss: 0.0329, val loss: 0.0966
Epoch 60, train loss: 0.0323, val loss: 0.0769
Epoch 70, train loss: 0.0318, val loss: 0.0620
Epoch 80, train loss: 0.0318, val loss: 0.0541
Epoch 90, train loss: 0.0318, val loss: 0.0505
Inferred coeffs for Austria: [2.521294   2.4119675  0.05265159]
Epoch 0, train loss: 0.0918, val loss: 0.3459
Epoch 10, train loss: 0.0430, val loss: 0.0160
Epoch 20, train loss: 0.0366, val loss: 0.1189
Epoch 30, train loss: 0.0335, val loss: 0.0282
Epoch 40, train loss: 0.0332, val loss: 0.0523
Epoch 0, train loss: 0.0918, val loss: 0.3459
Epoch 10, train loss: 0.0430, val loss: 0.0160
Epoch 20, train loss: 0.0366, val loss: 0.1189
Epoch 30, train loss: 0.0335, val loss: 0.0282
Epoch 40, train loss: 0.0332, val loss: 0.0523
Epoch 0, train loss: 0.0918, val loss: 0.4009
Epoch 10, train loss: 0.0746, val loss: 0.3404
Epoch 20, train loss: 0.0615, val loss: 0.2834
Epoch 30, train loss: 0.0513, val loss: 0.2307
Epoch 40, train loss: 0.0439, val loss: 0.1835
Epoch 0, train loss: 0.0918, val loss: 0.4009
Epoch 10, train loss: 0.0746, val loss: 0.3404
Epoch 20, train loss: 0.0615, val loss: 0.2834
Epoch 30, train loss: 0.0513, val loss: 0.2307
Epoch 40, train loss: 0.0439, val loss: 0.1835
Epoch 50, train loss: 0.0391, val loss: 0.1430
Epoch 60, train loss: 0.0361, val loss: 0.1097
Epoch 70, train loss: 0.0345, val loss: 0.0839
Epoch 80, train loss: 0.0335, val loss: 0.0632
Epoch 90, train loss: 0.0331, val loss: 0.0485
Inferred coeffs for Portugal: [2.532657   2.400535   0.06393041]
Epoch 0, train loss: 0.0101, val loss: 0.0208
Epoch 10, train loss: 0.0050, val loss: 0.0173
Epoch 20, train loss: 0.0029, val loss: 0.0028
Epoch 30, train loss: 0.0022, val loss: 0.0048
Epoch 40, train loss: 0.0020, val loss: 0.0093
Epoch 0, train loss: 0.0101, val loss: 0.0208
Epoch 10, train loss: 0.0050, val loss: 0.0173
Epoch 20, train loss: 0.0029, val loss: 0.0028
Epoch 30, train loss: 0.0022, val loss: 0.0048
Epoch 40, train loss: 0.0020, val loss: 0.0093
Epoch 50, train loss: 0.0018, val loss: 0.0022
Epoch 60, train loss: 0.0030, val loss: 0.0026
Epoch 0, train loss: 0.0101, val loss: 0.0317
Epoch 10, train loss: 0.0032, val loss: 0.0047
Epoch 20, train loss: 0.0022, val loss: 0.0067
Epoch 30, train loss: 0.0018, val loss: 0.0004
Epoch 40, train loss: 0.0018, val loss: 0.0012
Epoch 0, train loss: 0.0101, val loss: 0.0317
Epoch 10, train loss: 0.0032, val loss: 0.0047
Epoch 20, train loss: 0.0022, val loss: 0.0067
Epoch 30, train loss: 0.0018, val loss: 0.0004
Epoch 40, train loss: 0.0018, val loss: 0.0012
Epoch 50, train loss: 0.0017, val loss: 0.0008
Epoch 60, train loss: 0.0017, val loss: 0.0004
Inferred coeffs for Bosnia and Herzegovina: [2.4713302e+00 2.4617498e+00 2.4689729e-03]
Epoch 0, train loss: 0.0173, val loss: 0.0472
Epoch 10, train loss: 0.0076, val loss: 0.0395
Epoch 20, train loss: 0.0079, val loss: 0.0538
Epoch 30, train loss: 0.0077, val loss: 0.0508
Epoch 0, train loss: 0.0173, val loss: 0.0472
Epoch 10, train loss: 0.0076, val loss: 0.0395
Epoch 20, train loss: 0.0079, val loss: 0.0538
Epoch 30, train loss: 0.0077, val loss: 0.0508
Epoch 0, train loss: 0.0173, val loss: 0.1008
Epoch 10, train loss: 0.0076, val loss: 0.0484
Epoch 20, train loss: 0.0083, val loss: 0.0345
Epoch 30, train loss: 0.0076, val loss: 0.0496
Epoch 40, train loss: 0.0077, val loss: 0.0533
Epoch 0, train loss: 0.0173, val loss: 0.1008
Epoch 10, train loss: 0.0076, val loss: 0.0484
Epoch 20, train loss: 0.0083, val loss: 0.0345
Epoch 30, train loss: 0.0076, val loss: 0.0496
Epoch 40, train loss: 0.0077, val loss: 0.0533
Inferred coeffs for Romania: [2.480933   2.4521601  0.01208863]
Epoch 0, train loss: 0.1311, val loss: 0.5021
Epoch 10, train loss: 0.0471, val loss: 0.0101
Epoch 20, train loss: 0.0480, val loss: 0.0872
Epoch 30, train loss: 0.0486, val loss: 0.0819
Epoch 40, train loss: 0.0476, val loss: 0.0091
Epoch 0, train loss: 0.1311, val loss: 0.5021
Epoch 10, train loss: 0.0471, val loss: 0.0101
Epoch 20, train loss: 0.0480, val loss: 0.0872
Epoch 30, train loss: 0.0486, val loss: 0.0819
Epoch 40, train loss: 0.0476, val loss: 0.0091
Epoch 50, train loss: 0.0470, val loss: 0.0463
Epoch 60, train loss: 0.0470, val loss: 0.0289
Epoch 0, train loss: 0.1311, val loss: 0.5576
Epoch 10, train loss: 0.1129, val loss: 0.4962
Epoch 20, train loss: 0.0979, val loss: 0.4374
Epoch 30, train loss: 0.0859, val loss: 0.3829
Epoch 40, train loss: 0.0759, val loss: 0.3319
Epoch 0, train loss: 0.1311, val loss: 0.5576
Epoch 10, train loss: 0.1129, val loss: 0.4962
Epoch 20, train loss: 0.0979, val loss: 0.4374
Epoch 30, train loss: 0.0859, val loss: 0.3829
Epoch 40, train loss: 0.0759, val loss: 0.3319
Epoch 50, train loss: 0.0681, val loss: 0.2847
Epoch 60, train loss: 0.0630, val loss: 0.2449
Epoch 70, train loss: 0.0589, val loss: 0.2092
Epoch 80, train loss: 0.0555, val loss: 0.1766
Epoch 90, train loss: 0.0528, val loss: 0.1465
Inferred coeffs for Switzerland: [2.561308   2.376903   0.09846462]
Epoch 0, train loss: 0.5479, val loss: 2.2641
Epoch 10, train loss: 0.3858, val loss: 1.6707
Epoch 20, train loss: 0.2676, val loss: 1.1502
Epoch 30, train loss: 0.1960, val loss: 0.7120
Epoch 40, train loss: 0.1712, val loss: 0.3878
Epoch 0, train loss: 0.5479, val loss: 2.2641
Epoch 10, train loss: 0.3858, val loss: 1.6707
Epoch 20, train loss: 0.2676, val loss: 1.1502
Epoch 30, train loss: 0.1960, val loss: 0.7120
Epoch 40, train loss: 0.1712, val loss: 0.3878
Epoch 50, train loss: 0.1701, val loss: 0.2175
Epoch 60, train loss: 0.1693, val loss: 0.1915
Epoch 70, train loss: 0.1659, val loss: 0.2359
Epoch 80, train loss: 0.1638, val loss: 0.2619
Epoch 0, train loss: 0.5479, val loss: 2.3210
Epoch 10, train loss: 0.5290, val loss: 2.2580
Epoch 20, train loss: 0.5111, val loss: 2.1960
Epoch 30, train loss: 0.4938, val loss: 2.1351
Epoch 40, train loss: 0.4770, val loss: 2.0754
Epoch 0, train loss: 0.5479, val loss: 2.3210
Epoch 10, train loss: 0.5290, val loss: 2.2580
Epoch 20, train loss: 0.5111, val loss: 2.1960
Epoch 30, train loss: 0.4938, val loss: 2.1351
Epoch 40, train loss: 0.4770, val loss: 2.0754
Epoch 50, train loss: 0.4606, val loss: 2.0165
Epoch 60, train loss: 0.4450, val loss: 1.9588
Epoch 70, train loss: 0.4306, val loss: 1.9032
Epoch 80, train loss: 0.4172, val loss: 1.8495
Epoch 90, train loss: 0.4042, val loss: 1.7970
Inferred coeffs for Turkey: [2.8505492  2.1300843  0.44855767]
Epoch 0, train loss: 0.0150, val loss: 0.0079
Epoch 10, train loss: 0.0056, val loss: 0.0038
Epoch 20, train loss: 0.0045, val loss: 0.0016
Epoch 30, train loss: 0.0043, val loss: 0.0054
Epoch 0, train loss: 0.0150, val loss: 0.0079
Epoch 10, train loss: 0.0056, val loss: 0.0038
Epoch 20, train loss: 0.0045, val loss: 0.0016
Epoch 30, train loss: 0.0043, val loss: 0.0054
Epoch 0, train loss: 0.0150, val loss: 0.0605
Epoch 10, train loss: 0.0043, val loss: 0.0076
Epoch 20, train loss: 0.0043, val loss: 0.0096
Epoch 30, train loss: 0.0045, val loss: 0.0190
Epoch 40, train loss: 0.0044, val loss: 0.0146
Epoch 0, train loss: 0.0150, val loss: 0.0605
Epoch 10, train loss: 0.0043, val loss: 0.0076
Epoch 20, train loss: 0.0043, val loss: 0.0096
Epoch 30, train loss: 0.0045, val loss: 0.0190
Epoch 40, train loss: 0.0044, val loss: 0.0146
Inferred coeffs for Moldova: [2.4762542  2.45684    0.00741235]
Epoch 0, train loss: 0.0248, val loss: 0.0628
Epoch 10, train loss: 0.0101, val loss: 0.0483
Epoch 20, train loss: 0.0094, val loss: 0.0599
Epoch 30, train loss: 0.0081, val loss: 0.0406
Epoch 0, train loss: 0.0248, val loss: 0.0628
Epoch 10, train loss: 0.0101, val loss: 0.0483
Epoch 20, train loss: 0.0094, val loss: 0.0599
Epoch 30, train loss: 0.0081, val loss: 0.0406
Epoch 0, train loss: 0.0248, val loss: 0.1160
Epoch 10, train loss: 0.0102, val loss: 0.0586
Epoch 20, train loss: 0.0084, val loss: 0.0223
Epoch 30, train loss: 0.0085, val loss: 0.0241
Epoch 40, train loss: 0.0081, val loss: 0.0382
Epoch 0, train loss: 0.0248, val loss: 0.1160
Epoch 10, train loss: 0.0102, val loss: 0.0586
Epoch 20, train loss: 0.0084, val loss: 0.0223
Epoch 30, train loss: 0.0085, val loss: 0.0241
Epoch 40, train loss: 0.0081, val loss: 0.0382
Epoch 50, train loss: 0.0081, val loss: 0.0435
Inferred coeffs for Serbia: [2.4850357  2.44798    0.01609298]
Epoch 0, train loss: 0.0103, val loss: 0.0264
Epoch 10, train loss: 0.0033, val loss: 0.0162
Epoch 20, train loss: 0.0038, val loss: 0.0067
Epoch 30, train loss: 0.0017, val loss: 0.0030
Epoch 0, train loss: 0.0103, val loss: 0.0264
Epoch 10, train loss: 0.0033, val loss: 0.0162
Epoch 20, train loss: 0.0038, val loss: 0.0067
Epoch 30, train loss: 0.0017, val loss: 0.0030
Epoch 0, train loss: 0.0103, val loss: 0.0260
Epoch 10, train loss: 0.0026, val loss: 0.0090
Epoch 20, train loss: 0.0010, val loss: 0.0011
Epoch 30, train loss: 0.0008, val loss: 0.0008
Epoch 40, train loss: 0.0005, val loss: 0.0019
Epoch 0, train loss: 0.0103, val loss: 0.0260
Epoch 10, train loss: 0.0026, val loss: 0.0090
Epoch 20, train loss: 0.0010, val loss: 0.0011
Epoch 30, train loss: 0.0008, val loss: 0.0008
Epoch 40, train loss: 0.0005, val loss: 0.0019
Inferred coeffs for Slovakia: [2.4702725e+00 2.4628026e+00 1.4054910e-03]
Epoch 0, train loss: 0.0142, val loss: 0.0106
Epoch 10, train loss: 0.0057, val loss: 0.0011
Epoch 20, train loss: 0.0058, val loss: 0.0025
Epoch 30, train loss: 0.0056, val loss: 0.0090
Epoch 40, train loss: 0.0056, val loss: 0.0114
Epoch 0, train loss: 0.0142, val loss: 0.0106
Epoch 10, train loss: 0.0057, val loss: 0.0011
Epoch 20, train loss: 0.0058, val loss: 0.0025
Epoch 30, train loss: 0.0056, val loss: 0.0090
Epoch 40, train loss: 0.0056, val loss: 0.0114
Epoch 0, train loss: 0.0142, val loss: 0.0634
Epoch 10, train loss: 0.0056, val loss: 0.0121
Epoch 20, train loss: 0.0059, val loss: 0.0092
Epoch 30, train loss: 0.0057, val loss: 0.0219
Epoch 40, train loss: 0.0056, val loss: 0.0169
Epoch 0, train loss: 0.0142, val loss: 0.0634
Epoch 10, train loss: 0.0056, val loss: 0.0121
Epoch 20, train loss: 0.0059, val loss: 0.0092
Epoch 30, train loss: 0.0057, val loss: 0.0219
Epoch 40, train loss: 0.0056, val loss: 0.0169
Inferred coeffs for Dominican Republic: [2.4765286  2.456325   0.00739476]
Epoch 0, train loss: 0.0050, val loss: 0.0403
Epoch 10, train loss: 0.0059, val loss: 0.0080
Epoch 20, train loss: 0.0014, val loss: 0.0122
Epoch 30, train loss: 0.0006, val loss: 0.0075
Epoch 40, train loss: 0.0027, val loss: 0.0057
Epoch 0, train loss: 0.0050, val loss: 0.0403
Epoch 10, train loss: 0.0059, val loss: 0.0080
Epoch 20, train loss: 0.0014, val loss: 0.0122
Epoch 30, train loss: 0.0006, val loss: 0.0075
Epoch 40, train loss: 0.0027, val loss: 0.0057
Epoch 50, train loss: 0.0008, val loss: 0.0051
Epoch 60, train loss: 0.0008, val loss: 0.0020
Epoch 70, train loss: 0.0009, val loss: 0.0052
Epoch 0, train loss: 0.0050, val loss: 0.0123
Epoch 10, train loss: 0.0008, val loss: 0.0041
Epoch 20, train loss: 0.0005, val loss: 0.0028
Epoch 30, train loss: 0.0004, val loss: 0.0024
Epoch 40, train loss: 0.0004, val loss: 0.0023
Epoch 0, train loss: 0.0050, val loss: 0.0123
Epoch 10, train loss: 0.0008, val loss: 0.0041
Epoch 20, train loss: 0.0005, val loss: 0.0028
Epoch 30, train loss: 0.0004, val loss: 0.0024
Epoch 40, train loss: 0.0004, val loss: 0.0023
Epoch 50, train loss: 0.0003, val loss: 0.0018
Inferred coeffs for Guatemala: [ 2.4679434e+00  2.4651337e+00 -9.1869000e-04]
Epoch 0, train loss: 0.0075, val loss: 0.0359
Epoch 10, train loss: 0.0044, val loss: 0.0076
Epoch 20, train loss: 0.0024, val loss: 0.0079
Epoch 30, train loss: 0.0025, val loss: 0.0095
Epoch 40, train loss: 0.0014, val loss: 0.0069
Epoch 0, train loss: 0.0075, val loss: 0.0359
Epoch 10, train loss: 0.0044, val loss: 0.0076
Epoch 20, train loss: 0.0024, val loss: 0.0079
Epoch 30, train loss: 0.0025, val loss: 0.0095
Epoch 40, train loss: 0.0014, val loss: 0.0069
Epoch 50, train loss: 0.0011, val loss: 0.0028
Epoch 60, train loss: 0.0011, val loss: 0.0045
Epoch 70, train loss: 0.0009, val loss: 0.0023
Epoch 0, train loss: 0.0075, val loss: 0.0166
Epoch 10, train loss: 0.0016, val loss: 0.0048
Epoch 20, train loss: 0.0008, val loss: 0.0049
Epoch 30, train loss: 0.0010, val loss: 0.0020
Epoch 40, train loss: 0.0009, val loss: 0.0021
Epoch 0, train loss: 0.0075, val loss: 0.0166
Epoch 10, train loss: 0.0016, val loss: 0.0048
Epoch 20, train loss: 0.0008, val loss: 0.0049
Epoch 30, train loss: 0.0010, val loss: 0.0020
Epoch 40, train loss: 0.0009, val loss: 0.0021
Inferred coeffs for Honduras: [ 2.4687059e+00  2.4643722e+00 -1.5550340e-04]
Epoch 0, train loss: 0.0135, val loss: 0.0176
Epoch 10, train loss: 0.0069, val loss: 0.0150
Epoch 20, train loss: 0.0056, val loss: 0.0212
Epoch 30, train loss: 0.0051, val loss: 0.0238
Epoch 0, train loss: 0.0135, val loss: 0.0176
Epoch 10, train loss: 0.0069, val loss: 0.0150
Epoch 20, train loss: 0.0056, val loss: 0.0212
Epoch 30, train loss: 0.0051, val loss: 0.0238
Epoch 0, train loss: 0.0135, val loss: 0.0709
Epoch 10, train loss: 0.0050, val loss: 0.0206
Epoch 20, train loss: 0.0051, val loss: 0.0246
Epoch 30, train loss: 0.0051, val loss: 0.0361
Epoch 40, train loss: 0.0050, val loss: 0.0311
Epoch 0, train loss: 0.0135, val loss: 0.0709
Epoch 10, train loss: 0.0050, val loss: 0.0206
Epoch 20, train loss: 0.0051, val loss: 0.0246
Epoch 30, train loss: 0.0051, val loss: 0.0361
Epoch 40, train loss: 0.0050, val loss: 0.0311
Inferred coeffs for Mexico: [2.478147   2.4549227  0.00927669]
Epoch 0, train loss: 0.0355, val loss: 0.0632
Epoch 10, train loss: 0.0135, val loss: 0.0474
Epoch 20, train loss: 0.0054, val loss: 0.0176
Epoch 30, train loss: 0.0052, val loss: 0.0117
Epoch 40, train loss: 0.0053, val loss: 0.0077
Epoch 0, train loss: 0.0355, val loss: 0.0632
Epoch 10, train loss: 0.0135, val loss: 0.0474
Epoch 20, train loss: 0.0054, val loss: 0.0176
Epoch 30, train loss: 0.0052, val loss: 0.0117
Epoch 40, train loss: 0.0053, val loss: 0.0077
Epoch 50, train loss: 0.0048, val loss: 0.0030
Epoch 60, train loss: 0.0047, val loss: 0.0039
Epoch 70, train loss: 0.0045, val loss: 0.0037
Epoch 80, train loss: 0.0046, val loss: 0.0043
Epoch 0, train loss: 0.0355, val loss: 0.1161
Epoch 10, train loss: 0.0181, val loss: 0.0576
Epoch 20, train loss: 0.0054, val loss: 0.0030
Epoch 30, train loss: 0.0062, val loss: 0.0119
Epoch 40, train loss: 0.0051, val loss: 0.0058
Epoch 0, train loss: 0.0355, val loss: 0.1161
Epoch 10, train loss: 0.0181, val loss: 0.0576
Epoch 20, train loss: 0.0054, val loss: 0.0030
Epoch 30, train loss: 0.0062, val loss: 0.0119
Epoch 40, train loss: 0.0051, val loss: 0.0058
Epoch 50, train loss: 0.0045, val loss: 0.0033
Epoch 60, train loss: 0.0046, val loss: 0.0030
Inferred coeffs for Panama: [2.4857476  2.4473553  0.01691212]
Epoch 0, train loss: 0.0093, val loss: 0.0313
Epoch 10, train loss: 0.0017, val loss: 0.0057
Epoch 20, train loss: 0.0013, val loss: 0.0037
Epoch 30, train loss: 0.0009, val loss: 0.0011
Epoch 40, train loss: 0.0009, val loss: 0.0049
Epoch 0, train loss: 0.0093, val loss: 0.0313
Epoch 10, train loss: 0.0017, val loss: 0.0057
Epoch 20, train loss: 0.0013, val loss: 0.0037
Epoch 30, train loss: 0.0009, val loss: 0.0011
Epoch 40, train loss: 0.0009, val loss: 0.0049
Epoch 0, train loss: 0.0093, val loss: 0.0212
Epoch 10, train loss: 0.0027, val loss: 0.0103
Epoch 20, train loss: 0.0013, val loss: 0.0021
Epoch 30, train loss: 0.0009, val loss: 0.0012
Epoch 40, train loss: 0.0009, val loss: 0.0047
Epoch 0, train loss: 0.0093, val loss: 0.0212
Epoch 10, train loss: 0.0027, val loss: 0.0103
Epoch 20, train loss: 0.0013, val loss: 0.0021
Epoch 30, train loss: 0.0009, val loss: 0.0012
Epoch 40, train loss: 0.0009, val loss: 0.0047
Inferred coeffs for Costa Rica: [2.4693239e+00 2.4634249e+00 1.2338570e-04]
Epoch 0, train loss: 0.0103, val loss: 0.0203
Epoch 10, train loss: 0.0018, val loss: 0.0031
Epoch 20, train loss: 0.0029, val loss: 0.0128
Epoch 30, train loss: 0.0021, val loss: 0.0076
Epoch 40, train loss: 0.0016, val loss: 0.0030
Epoch 0, train loss: 0.0103, val loss: 0.0203
Epoch 10, train loss: 0.0018, val loss: 0.0031
Epoch 20, train loss: 0.0029, val loss: 0.0128
Epoch 30, train loss: 0.0021, val loss: 0.0076
Epoch 40, train loss: 0.0016, val loss: 0.0030
Epoch 0, train loss: 0.0103, val loss: 0.0326
Epoch 10, train loss: 0.0033, val loss: 0.0049
Epoch 20, train loss: 0.0022, val loss: 0.0081
Epoch 30, train loss: 0.0016, val loss: 0.0009
Epoch 40, train loss: 0.0016, val loss: 0.0038
Epoch 0, train loss: 0.0103, val loss: 0.0326
Epoch 10, train loss: 0.0033, val loss: 0.0049
Epoch 20, train loss: 0.0022, val loss: 0.0081
Epoch 30, train loss: 0.0016, val loss: 0.0009
Epoch 40, train loss: 0.0016, val loss: 0.0038
Epoch 50, train loss: 0.0016, val loss: 0.0005
Inferred coeffs for Cuba: [2.4714215  2.4616537  0.00255561]
Epoch 0, train loss: 0.0079, val loss: 0.0179
Epoch 10, train loss: 0.0031, val loss: 0.0245
Epoch 20, train loss: 0.0035, val loss: 0.0225
Epoch 30, train loss: 0.0033, val loss: 0.0191
Epoch 0, train loss: 0.0079, val loss: 0.0179
Epoch 10, train loss: 0.0031, val loss: 0.0245
Epoch 20, train loss: 0.0035, val loss: 0.0225
Epoch 30, train loss: 0.0033, val loss: 0.0191
Epoch 0, train loss: 0.0079, val loss: 0.0345
Epoch 10, train loss: 0.0038, val loss: 0.0036
Epoch 20, train loss: 0.0032, val loss: 0.0183
Epoch 30, train loss: 0.0031, val loss: 0.0123
Epoch 0, train loss: 0.0079, val loss: 0.0345
Epoch 10, train loss: 0.0038, val loss: 0.0036
Epoch 20, train loss: 0.0032, val loss: 0.0183
Epoch 30, train loss: 0.0031, val loss: 0.0123
Inferred coeffs for New Zealand: [2.4717302 2.4611526 0.0026581]
Epoch 0, train loss: 0.0091, val loss: 0.0311
Epoch 10, train loss: 0.0063, val loss: 0.0137
Epoch 20, train loss: 0.0005, val loss: 0.0101
Epoch 30, train loss: 0.0014, val loss: 0.0039
Epoch 40, train loss: 0.0022, val loss: 0.0064
Epoch 0, train loss: 0.0091, val loss: 0.0311
Epoch 10, train loss: 0.0063, val loss: 0.0137
Epoch 20, train loss: 0.0005, val loss: 0.0101
Epoch 30, train loss: 0.0014, val loss: 0.0039
Epoch 40, train loss: 0.0022, val loss: 0.0064
Epoch 50, train loss: 0.0015, val loss: 0.0023
Epoch 60, train loss: 0.0006, val loss: 0.0018
Epoch 70, train loss: 0.0010, val loss: 0.0003
Epoch 80, train loss: 0.0015, val loss: 0.0005
Epoch 90, train loss: 0.0023, val loss: 0.0004
Epoch 0, train loss: 0.0091, val loss: 0.0217
Epoch 10, train loss: 0.0027, val loss: 0.0090
Epoch 20, train loss: 0.0008, val loss: 0.0018
Epoch 30, train loss: 0.0009, val loss: 0.0006
Epoch 40, train loss: 0.0006, val loss: 0.0004
Epoch 0, train loss: 0.0091, val loss: 0.0217
Epoch 10, train loss: 0.0027, val loss: 0.0090
Epoch 20, train loss: 0.0008, val loss: 0.0018
Epoch 30, train loss: 0.0009, val loss: 0.0006
Epoch 40, train loss: 0.0006, val loss: 0.0004
Epoch 50, train loss: 0.0006, val loss: 0.0008
Epoch 60, train loss: 0.0005, val loss: 0.0019
Inferred coeffs for Bahrain: [2.4695737e+00 2.4634876e+00 6.9543917e-04]
Epoch 0, train loss: 0.0239, val loss: 0.0411
Epoch 10, train loss: 0.0069, val loss: 0.0135
Epoch 20, train loss: 0.0052, val loss: 0.0050
Epoch 30, train loss: 0.0058, val loss: 0.0114
Epoch 40, train loss: 0.0053, val loss: 0.0178
Epoch 0, train loss: 0.0239, val loss: 0.0411
Epoch 10, train loss: 0.0069, val loss: 0.0135
Epoch 20, train loss: 0.0052, val loss: 0.0050
Epoch 30, train loss: 0.0058, val loss: 0.0114
Epoch 40, train loss: 0.0053, val loss: 0.0178
Epoch 50, train loss: 0.0053, val loss: 0.0093
Epoch 0, train loss: 0.0239, val loss: 0.0959
Epoch 10, train loss: 0.0087, val loss: 0.0366
Epoch 20, train loss: 0.0069, val loss: 0.0030
Epoch 30, train loss: 0.0054, val loss: 0.0201
Epoch 40, train loss: 0.0051, val loss: 0.0124
Epoch 0, train loss: 0.0239, val loss: 0.0959
Epoch 10, train loss: 0.0087, val loss: 0.0366
Epoch 20, train loss: 0.0069, val loss: 0.0030
Epoch 30, train loss: 0.0054, val loss: 0.0201
Epoch 40, train loss: 0.0051, val loss: 0.0124
Inferred coeffs for Saudi Arabia: [2.4814546  2.451653   0.01262313]
Epoch 0, train loss: 0.2550, val loss: 0.9267
Epoch 10, train loss: 0.1016, val loss: 0.3775
Epoch 20, train loss: 0.0547, val loss: 0.0269
Epoch 30, train loss: 0.0390, val loss: 0.1383
Epoch 40, train loss: 0.0375, val loss: 0.1007
Epoch 0, train loss: 0.2550, val loss: 0.9267
Epoch 10, train loss: 0.1016, val loss: 0.3775
Epoch 20, train loss: 0.0547, val loss: 0.0269
Epoch 30, train loss: 0.0390, val loss: 0.1383
Epoch 40, train loss: 0.0375, val loss: 0.1007
Epoch 50, train loss: 0.0354, val loss: 0.1006
Epoch 0, train loss: 0.2550, val loss: 0.9799
Epoch 10, train loss: 0.2370, val loss: 0.9209
Epoch 20, train loss: 0.2200, val loss: 0.8631
Epoch 30, train loss: 0.2039, val loss: 0.8066
Epoch 40, train loss: 0.1885, val loss: 0.7515
Epoch 0, train loss: 0.2550, val loss: 0.9799
Epoch 10, train loss: 0.2370, val loss: 0.9209
Epoch 20, train loss: 0.2200, val loss: 0.8631
Epoch 30, train loss: 0.2039, val loss: 0.8066
Epoch 40, train loss: 0.1885, val loss: 0.7515
Epoch 50, train loss: 0.1736, val loss: 0.6976
Epoch 60, train loss: 0.1592, val loss: 0.6448
Epoch 70, train loss: 0.1454, val loss: 0.5931
Epoch 80, train loss: 0.1318, val loss: 0.5423
Epoch 90, train loss: 0.1188, val loss: 0.4926
Inferred coeffs for Iran: [2.6492088  2.2858005  0.18228568]
Epoch 0, train loss: 0.0064, val loss: 0.0392
Epoch 10, train loss: 0.0061, val loss: 0.0115
Epoch 20, train loss: 0.0010, val loss: 0.0100
Epoch 30, train loss: 0.0042, val loss: 0.0138
Epoch 40, train loss: 0.0005, val loss: 0.0039
Epoch 0, train loss: 0.0064, val loss: 0.0392
Epoch 10, train loss: 0.0061, val loss: 0.0115
Epoch 20, train loss: 0.0010, val loss: 0.0100
Epoch 30, train loss: 0.0042, val loss: 0.0138
Epoch 40, train loss: 0.0005, val loss: 0.0039
Epoch 50, train loss: 0.0007, val loss: 0.0019
Epoch 60, train loss: 0.0005, val loss: 0.0042
Epoch 70, train loss: 0.0031, val loss: 0.0074
Epoch 80, train loss: 0.0005, val loss: 0.0042
Epoch 0, train loss: 0.0064, val loss: 0.0140
Epoch 10, train loss: 0.0011, val loss: 0.0009
Epoch 20, train loss: 0.0009, val loss: 0.0023
Epoch 30, train loss: 0.0007, val loss: 0.0013
Epoch 40, train loss: 0.0005, val loss: 0.0007
Epoch 0, train loss: 0.0064, val loss: 0.0140
Epoch 10, train loss: 0.0011, val loss: 0.0009
Epoch 20, train loss: 0.0009, val loss: 0.0023
Epoch 30, train loss: 0.0007, val loss: 0.0013
Epoch 40, train loss: 0.0005, val loss: 0.0007
Epoch 50, train loss: 0.0005, val loss: 0.0008
Epoch 60, train loss: 0.0005, val loss: 0.0009
Epoch 70, train loss: 0.0005, val loss: 0.0007
Inferred coeffs for Kuwait: [ 2.4681628e+00  2.4648988e+00 -7.1509142e-04]
Epoch 0, train loss: 0.0058, val loss: 0.0361
Epoch 10, train loss: 0.0052, val loss: 0.0036
Epoch 20, train loss: 0.0029, val loss: 0.0152
Epoch 30, train loss: 0.0017, val loss: 0.0008
Epoch 40, train loss: 0.0010, val loss: 0.0016
Epoch 0, train loss: 0.0058, val loss: 0.0361
Epoch 10, train loss: 0.0052, val loss: 0.0036
Epoch 20, train loss: 0.0029, val loss: 0.0152
Epoch 30, train loss: 0.0017, val loss: 0.0008
Epoch 40, train loss: 0.0010, val loss: 0.0016
Epoch 50, train loss: 0.0010, val loss: 0.0003
Epoch 60, train loss: 0.0010, val loss: 0.0007
Epoch 0, train loss: 0.0058, val loss: 0.0167
Epoch 10, train loss: 0.0009, val loss: 0.0054
Epoch 20, train loss: 0.0011, val loss: 0.0003
Epoch 30, train loss: 0.0010, val loss: 0.0047
Epoch 40, train loss: 0.0009, val loss: 0.0041
Epoch 0, train loss: 0.0058, val loss: 0.0167
Epoch 10, train loss: 0.0009, val loss: 0.0054
Epoch 20, train loss: 0.0011, val loss: 0.0003
Epoch 30, train loss: 0.0010, val loss: 0.0047
Epoch 40, train loss: 0.0009, val loss: 0.0041
Epoch 50, train loss: 0.0009, val loss: 0.0035
Inferred coeffs for Lebanon: [ 2.4684079e+00  2.4640458e+00 -1.1483154e-03]
Epoch 0, train loss: 0.0175, val loss: 0.0306
Epoch 10, train loss: 0.0090, val loss: 0.0362
Epoch 20, train loss: 0.0071, val loss: 0.0308
Epoch 30, train loss: 0.0058, val loss: 0.0162
Epoch 40, train loss: 0.0060, val loss: 0.0178
Epoch 0, train loss: 0.0175, val loss: 0.0306
Epoch 10, train loss: 0.0090, val loss: 0.0362
Epoch 20, train loss: 0.0071, val loss: 0.0308
Epoch 30, train loss: 0.0058, val loss: 0.0162
Epoch 40, train loss: 0.0060, val loss: 0.0178
Epoch 0, train loss: 0.0175, val loss: 0.0837
Epoch 10, train loss: 0.0067, val loss: 0.0289
Epoch 20, train loss: 0.0065, val loss: 0.0145
Epoch 30, train loss: 0.0061, val loss: 0.0280
Epoch 40, train loss: 0.0059, val loss: 0.0191
Epoch 0, train loss: 0.0175, val loss: 0.0837
Epoch 10, train loss: 0.0067, val loss: 0.0289
Epoch 20, train loss: 0.0065, val loss: 0.0145
Epoch 30, train loss: 0.0061, val loss: 0.0280
Epoch 40, train loss: 0.0059, val loss: 0.0191
Inferred coeffs for Pakistan: [2.4791045  2.4535882  0.00983268]
Epoch 0, train loss: 0.0077, val loss: 0.0271
Epoch 10, train loss: 0.0067, val loss: 0.0094
Epoch 20, train loss: 0.0022, val loss: 0.0134
Epoch 30, train loss: 0.0022, val loss: 0.0063
Epoch 40, train loss: 0.0010, val loss: 0.0133
Epoch 0, train loss: 0.0077, val loss: 0.0271
Epoch 10, train loss: 0.0067, val loss: 0.0094
Epoch 20, train loss: 0.0022, val loss: 0.0134
Epoch 30, train loss: 0.0022, val loss: 0.0063
Epoch 40, train loss: 0.0010, val loss: 0.0133
Epoch 50, train loss: 0.0011, val loss: 0.0074
Epoch 60, train loss: 0.0012, val loss: 0.0059
Epoch 0, train loss: 0.0077, val loss: 0.0257
Epoch 10, train loss: 0.0020, val loss: 0.0025
Epoch 20, train loss: 0.0010, val loss: 0.0058
Epoch 30, train loss: 0.0010, val loss: 0.0082
Epoch 0, train loss: 0.0077, val loss: 0.0257
Epoch 10, train loss: 0.0020, val loss: 0.0025
Epoch 20, train loss: 0.0010, val loss: 0.0058
Epoch 30, train loss: 0.0010, val loss: 0.0082
Inferred coeffs for Iraq: [2.4702373e+00 2.4628439e+00 1.3791609e-03]
Epoch 0, train loss: 0.0150, val loss: 0.0063
Epoch 10, train loss: 0.0029, val loss: 0.0249
Epoch 20, train loss: 0.0025, val loss: 0.0214
Epoch 30, train loss: 0.0025, val loss: 0.0205
Epoch 0, train loss: 0.0150, val loss: 0.0063
Epoch 10, train loss: 0.0029, val loss: 0.0249
Epoch 20, train loss: 0.0025, val loss: 0.0214
Epoch 30, train loss: 0.0025, val loss: 0.0205
Epoch 0, train loss: 0.0150, val loss: 0.0597
Epoch 10, train loss: 0.0034, val loss: 0.0063
Epoch 20, train loss: 0.0027, val loss: 0.0167
Epoch 30, train loss: 0.0024, val loss: 0.0167
Epoch 40, train loss: 0.0024, val loss: 0.0195
Epoch 0, train loss: 0.0150, val loss: 0.0597
Epoch 10, train loss: 0.0034, val loss: 0.0063
Epoch 20, train loss: 0.0027, val loss: 0.0167
Epoch 30, train loss: 0.0024, val loss: 0.0167
Epoch 40, train loss: 0.0024, val loss: 0.0195
Inferred coeffs for Qatar: [2.4762068  2.4568381  0.00730838]
Epoch 0, train loss: 0.0073, val loss: 0.0293
Epoch 10, train loss: 0.0059, val loss: 0.0612
Epoch 20, train loss: 0.0055, val loss: 0.0665
Epoch 30, train loss: 0.0041, val loss: 0.0732
Epoch 0, train loss: 0.0073, val loss: 0.0293
Epoch 10, train loss: 0.0059, val loss: 0.0612
Epoch 20, train loss: 0.0055, val loss: 0.0665
Epoch 30, train loss: 0.0041, val loss: 0.0732
Epoch 0, train loss: 0.0073, val loss: 0.0837
Epoch 10, train loss: 0.0045, val loss: 0.0615
Epoch 20, train loss: 0.0039, val loss: 0.0777
Epoch 30, train loss: 0.0036, val loss: 0.0711
Epoch 0, train loss: 0.0073, val loss: 0.0837
Epoch 10, train loss: 0.0045, val loss: 0.0615
Epoch 20, train loss: 0.0039, val loss: 0.0777
Epoch 30, train loss: 0.0036, val loss: 0.0711
Inferred coeffs for South Korea: [2.4748788  2.4582064  0.00602529]
Epoch 0, train loss: 0.0163, val loss: 0.0048
Epoch 10, train loss: 0.0040, val loss: 0.0130
Epoch 20, train loss: 0.0040, val loss: 0.0076
Epoch 30, train loss: 0.0050, val loss: 0.0029
Epoch 40, train loss: 0.0040, val loss: 0.0060
Epoch 0, train loss: 0.0163, val loss: 0.0048
Epoch 10, train loss: 0.0040, val loss: 0.0130
Epoch 20, train loss: 0.0040, val loss: 0.0076
Epoch 30, train loss: 0.0050, val loss: 0.0029
Epoch 40, train loss: 0.0040, val loss: 0.0060
Epoch 50, train loss: 0.0040, val loss: 0.0076
Epoch 0, train loss: 0.0163, val loss: 0.0579
Epoch 10, train loss: 0.0041, val loss: 0.0025
Epoch 20, train loss: 0.0040, val loss: 0.0029
Epoch 30, train loss: 0.0043, val loss: 0.0096
Epoch 40, train loss: 0.0040, val loss: 0.0012
Epoch 0, train loss: 0.0163, val loss: 0.0579
Epoch 10, train loss: 0.0041, val loss: 0.0025
Epoch 20, train loss: 0.0040, val loss: 0.0029
Epoch 30, train loss: 0.0043, val loss: 0.0096
Epoch 40, train loss: 0.0040, val loss: 0.0012
Epoch 50, train loss: 0.0040, val loss: 0.0028
Epoch 60, train loss: 0.0040, val loss: 0.0046
Epoch 70, train loss: 0.0040, val loss: 0.0040
Inferred coeffs for Argentina: [2.4754088  2.4571595  0.00601197]
Epoch 0, train loss: 0.0393, val loss: 0.2287
Epoch 10, train loss: 0.0204, val loss: 0.1750
Epoch 20, train loss: 0.0204, val loss: 0.1175
Epoch 30, train loss: 0.0201, val loss: 0.1543
Epoch 0, train loss: 0.0393, val loss: 0.2287
Epoch 10, train loss: 0.0204, val loss: 0.1750
Epoch 20, train loss: 0.0204, val loss: 0.1175
Epoch 30, train loss: 0.0201, val loss: 0.1543
Epoch 0, train loss: 0.0393, val loss: 0.2823
Epoch 10, train loss: 0.0268, val loss: 0.2258
Epoch 20, train loss: 0.0218, val loss: 0.1800
Epoch 30, train loss: 0.0197, val loss: 0.1456
Epoch 40, train loss: 0.0199, val loss: 0.1304
Epoch 0, train loss: 0.0393, val loss: 0.2823
Epoch 10, train loss: 0.0268, val loss: 0.2258
Epoch 20, train loss: 0.0218, val loss: 0.1800
Epoch 30, train loss: 0.0197, val loss: 0.1456
Epoch 40, train loss: 0.0199, val loss: 0.1304
Epoch 50, train loss: 0.0199, val loss: 0.1327
Epoch 60, train loss: 0.0197, val loss: 0.1421
Epoch 70, train loss: 0.0197, val loss: 0.1468
Inferred coeffs for Brazil: [2.4999168 2.4332352 0.0311356]
Epoch 0, train loss: 0.0412, val loss: 0.1310
Epoch 10, train loss: 0.0157, val loss: 0.0815
Epoch 20, train loss: 0.0146, val loss: 0.0127
Epoch 30, train loss: 0.0132, val loss: 0.0341
Epoch 0, train loss: 0.0412, val loss: 0.1310
Epoch 10, train loss: 0.0157, val loss: 0.0815
Epoch 20, train loss: 0.0146, val loss: 0.0127
Epoch 30, train loss: 0.0132, val loss: 0.0341
Epoch 0, train loss: 0.0412, val loss: 0.1837
Epoch 10, train loss: 0.0257, val loss: 0.1261
Epoch 20, train loss: 0.0164, val loss: 0.0745
Epoch 30, train loss: 0.0131, val loss: 0.0357
Epoch 40, train loss: 0.0135, val loss: 0.0212
Epoch 0, train loss: 0.0412, val loss: 0.1837
Epoch 10, train loss: 0.0257, val loss: 0.1261
Epoch 20, train loss: 0.0164, val loss: 0.0745
Epoch 30, train loss: 0.0131, val loss: 0.0357
Epoch 40, train loss: 0.0135, val loss: 0.0212
Epoch 50, train loss: 0.0132, val loss: 0.0289
Epoch 60, train loss: 0.0131, val loss: 0.0369
Epoch 70, train loss: 0.0131, val loss: 0.0356
Inferred coeffs for Chile: [2.4991374  2.4338882  0.03022183]
Epoch 0, train loss: 0.0296, val loss: 0.0720
Epoch 10, train loss: 0.0155, val loss: 0.0593
Epoch 20, train loss: 0.0103, val loss: 0.0356
Epoch 30, train loss: 0.0101, val loss: 0.0225
Epoch 40, train loss: 0.0099, val loss: 0.0273
Epoch 0, train loss: 0.0296, val loss: 0.0720
Epoch 10, train loss: 0.0155, val loss: 0.0593
Epoch 20, train loss: 0.0103, val loss: 0.0356
Epoch 30, train loss: 0.0101, val loss: 0.0225
Epoch 40, train loss: 0.0099, val loss: 0.0273
Epoch 0, train loss: 0.0296, val loss: 0.1246
Epoch 10, train loss: 0.0169, val loss: 0.0686
Epoch 20, train loss: 0.0100, val loss: 0.0191
Epoch 30, train loss: 0.0111, val loss: 0.0072
Epoch 40, train loss: 0.0099, val loss: 0.0210
Epoch 0, train loss: 0.0296, val loss: 0.1246
Epoch 10, train loss: 0.0169, val loss: 0.0686
Epoch 20, train loss: 0.0100, val loss: 0.0191
Epoch 30, train loss: 0.0111, val loss: 0.0072
Epoch 40, train loss: 0.0099, val loss: 0.0210
Epoch 50, train loss: 0.0101, val loss: 0.0246
Inferred coeffs for Ecuador: [2.486785  2.445947  0.0175468]
Epoch 0, train loss: 0.0217, val loss: 0.0326
Epoch 10, train loss: 0.0071, val loss: 0.0188
Epoch 20, train loss: 0.0058, val loss: 0.0183
Epoch 30, train loss: 0.0052, val loss: 0.0163
Epoch 40, train loss: 0.0046, val loss: 0.0089
Epoch 0, train loss: 0.0217, val loss: 0.0326
Epoch 10, train loss: 0.0071, val loss: 0.0188
Epoch 20, train loss: 0.0058, val loss: 0.0183
Epoch 30, train loss: 0.0052, val loss: 0.0163
Epoch 40, train loss: 0.0046, val loss: 0.0089
Epoch 0, train loss: 0.0217, val loss: 0.0856
Epoch 10, train loss: 0.0066, val loss: 0.0281
Epoch 20, train loss: 0.0064, val loss: 0.0026
Epoch 30, train loss: 0.0049, val loss: 0.0205
Epoch 40, train loss: 0.0048, val loss: 0.0171
Epoch 0, train loss: 0.0217, val loss: 0.0856
Epoch 10, train loss: 0.0066, val loss: 0.0281
Epoch 20, train loss: 0.0064, val loss: 0.0026
Epoch 30, train loss: 0.0049, val loss: 0.0205
Epoch 40, train loss: 0.0048, val loss: 0.0171
Inferred coeffs for Colombia: [2.4800541  2.4526584  0.01080443]
Epoch 0, train loss: 0.0063, val loss: 0.0350
Epoch 10, train loss: 0.0047, val loss: 0.0027
Epoch 20, train loss: 0.0029, val loss: 0.0182
Epoch 30, train loss: 0.0033, val loss: 0.0053
Epoch 40, train loss: 0.0017, val loss: 0.0075
Epoch 0, train loss: 0.0063, val loss: 0.0350
Epoch 10, train loss: 0.0047, val loss: 0.0027
Epoch 20, train loss: 0.0029, val loss: 0.0182
Epoch 30, train loss: 0.0033, val loss: 0.0053
Epoch 40, train loss: 0.0017, val loss: 0.0075
Epoch 50, train loss: 0.0015, val loss: 0.0114
Epoch 0, train loss: 0.0063, val loss: 0.0175
Epoch 10, train loss: 0.0006, val loss: 0.0053
Epoch 20, train loss: 0.0010, val loss: 0.0001
Epoch 30, train loss: 0.0006, val loss: 0.0007
Epoch 0, train loss: 0.0063, val loss: 0.0175
Epoch 10, train loss: 0.0006, val loss: 0.0053
Epoch 20, train loss: 0.0010, val loss: 0.0001
Epoch 30, train loss: 0.0006, val loss: 0.0007
Inferred coeffs for Bolivia: [2.4688628e+00 2.4642227e+00 9.5696414e-06]
Epoch 0, train loss: 0.0336, val loss: 0.1994
Epoch 10, train loss: 0.0147, val loss: 0.1993
Epoch 20, train loss: 0.0140, val loss: 0.1499
Epoch 30, train loss: 0.0134, val loss: 0.1509
Epoch 0, train loss: 0.0336, val loss: 0.1994
Epoch 10, train loss: 0.0147, val loss: 0.1993
Epoch 20, train loss: 0.0140, val loss: 0.1499
Epoch 30, train loss: 0.0134, val loss: 0.1509
Epoch 0, train loss: 0.0336, val loss: 0.2523
Epoch 10, train loss: 0.0171, val loss: 0.1942
Epoch 20, train loss: 0.0134, val loss: 0.1516
Epoch 30, train loss: 0.0140, val loss: 0.1440
Epoch 40, train loss: 0.0134, val loss: 0.1547
Epoch 0, train loss: 0.0336, val loss: 0.2523
Epoch 10, train loss: 0.0171, val loss: 0.1942
Epoch 20, train loss: 0.0134, val loss: 0.1516
Epoch 30, train loss: 0.0140, val loss: 0.1440
Epoch 40, train loss: 0.0134, val loss: 0.1547
Epoch 50, train loss: 0.0131, val loss: 0.1675
Inferred coeffs for Peru: [2.494188   2.438857   0.02529326]
Epoch 0, train loss: 0.0115, val loss: 0.0340
Epoch 10, train loss: 0.0035, val loss: 0.0024
Epoch 20, train loss: 0.0026, val loss: 0.0184
Epoch 30, train loss: 0.0024, val loss: 0.0100
Epoch 0, train loss: 0.0115, val loss: 0.0340
Epoch 10, train loss: 0.0035, val loss: 0.0024
Epoch 20, train loss: 0.0026, val loss: 0.0184
Epoch 30, train loss: 0.0024, val loss: 0.0100
Epoch 0, train loss: 0.0115, val loss: 0.0185
Epoch 10, train loss: 0.0039, val loss: 0.0248
Epoch 20, train loss: 0.0024, val loss: 0.0072
Epoch 30, train loss: 0.0024, val loss: 0.0127
Epoch 0, train loss: 0.0115, val loss: 0.0185
Epoch 10, train loss: 0.0039, val loss: 0.0248
Epoch 20, train loss: 0.0024, val loss: 0.0072
Epoch 30, train loss: 0.0024, val loss: 0.0127
Inferred coeffs for Uruguay: [2.4688783e+00 2.4642069e+00 2.5189214e-05]
Epoch 0, train loss: 0.0162, val loss: 0.0019
Epoch 10, train loss: 0.0064, val loss: 0.0007
Epoch 20, train loss: 0.0022, val loss: 0.0139
Epoch 30, train loss: 0.0037, val loss: 0.0127
Epoch 40, train loss: 0.0022, val loss: 0.0056
Epoch 0, train loss: 0.0162, val loss: 0.0019
Epoch 10, train loss: 0.0064, val loss: 0.0007
Epoch 20, train loss: 0.0022, val loss: 0.0139
Epoch 30, train loss: 0.0037, val loss: 0.0127
Epoch 40, train loss: 0.0022, val loss: 0.0056
Epoch 0, train loss: 0.0162, val loss: 0.0547
Epoch 10, train loss: 0.0019, val loss: 0.0017
Epoch 20, train loss: 0.0018, val loss: 0.0072
Epoch 30, train loss: 0.0017, val loss: 0.0044
Epoch 40, train loss: 0.0017, val loss: 0.0067
Epoch 0, train loss: 0.0162, val loss: 0.0547
Epoch 10, train loss: 0.0019, val loss: 0.0017
Epoch 20, train loss: 0.0018, val loss: 0.0072
Epoch 30, train loss: 0.0017, val loss: 0.0044
Epoch 40, train loss: 0.0017, val loss: 0.0067
Inferred coeffs for Kazakhstan: [2.475143   2.4577003  0.00602072]
Epoch 0, train loss: 0.0096, val loss: 0.0300
Epoch 10, train loss: 0.0022, val loss: 0.0094
Epoch 20, train loss: 0.0014, val loss: 0.0065
Epoch 30, train loss: 0.0006, val loss: 0.0015
Epoch 40, train loss: 0.0006, val loss: 0.0037
Epoch 0, train loss: 0.0096, val loss: 0.0300
Epoch 10, train loss: 0.0022, val loss: 0.0094
Epoch 20, train loss: 0.0014, val loss: 0.0065
Epoch 30, train loss: 0.0006, val loss: 0.0015
Epoch 40, train loss: 0.0006, val loss: 0.0037
Epoch 50, train loss: 0.0009, val loss: 0.0056
Epoch 0, train loss: 0.0096, val loss: 0.0225
Epoch 10, train loss: 0.0027, val loss: 0.0107
Epoch 20, train loss: 0.0012, val loss: 0.0015
Epoch 30, train loss: 0.0008, val loss: 0.0011
Epoch 40, train loss: 0.0007, val loss: 0.0038
Epoch 0, train loss: 0.0096, val loss: 0.0225
Epoch 10, train loss: 0.0027, val loss: 0.0107
Epoch 20, train loss: 0.0012, val loss: 0.0015
Epoch 30, train loss: 0.0008, val loss: 0.0011
Epoch 40, train loss: 0.0007, val loss: 0.0038
Inferred coeffs for Kyrgyzstan: [2.4696996e+00 2.4633715e+00 8.3029206e-04]
Epoch 0, train loss: 0.0063, val loss: 0.0268
Epoch 10, train loss: 0.0065, val loss: 0.0022
Epoch 20, train loss: 0.0018, val loss: 0.0231
Epoch 30, train loss: 0.0021, val loss: 0.0102
Epoch 0, train loss: 0.0063, val loss: 0.0268
Epoch 10, train loss: 0.0065, val loss: 0.0022
Epoch 20, train loss: 0.0018, val loss: 0.0231
Epoch 30, train loss: 0.0021, val loss: 0.0102
Epoch 0, train loss: 0.0063, val loss: 0.0259
Epoch 10, train loss: 0.0018, val loss: 0.0094
Epoch 20, train loss: 0.0017, val loss: 0.0124
Epoch 30, train loss: 0.0016, val loss: 0.0102
Epoch 0, train loss: 0.0063, val loss: 0.0259
Epoch 10, train loss: 0.0018, val loss: 0.0094
Epoch 20, train loss: 0.0017, val loss: 0.0124
Epoch 30, train loss: 0.0016, val loss: 0.0102
Inferred coeffs for Azerbaijan: [2.4703636e+00 2.4626532e+00 1.4321428e-03]
Epoch 0, train loss: 0.0123, val loss: 0.0103
Epoch 10, train loss: 0.0062, val loss: 0.0147
Epoch 20, train loss: 0.0053, val loss: 0.0212
Epoch 30, train loss: 0.0051, val loss: 0.0241
Epoch 0, train loss: 0.0123, val loss: 0.0103
Epoch 10, train loss: 0.0062, val loss: 0.0147
Epoch 20, train loss: 0.0053, val loss: 0.0212
Epoch 30, train loss: 0.0051, val loss: 0.0241
Epoch 0, train loss: 0.0123, val loss: 0.0639
Epoch 10, train loss: 0.0052, val loss: 0.0155
Epoch 20, train loss: 0.0052, val loss: 0.0215
Epoch 30, train loss: 0.0052, val loss: 0.0305
Epoch 40, train loss: 0.0051, val loss: 0.0227
Epoch 0, train loss: 0.0123, val loss: 0.0639
Epoch 10, train loss: 0.0052, val loss: 0.0155
Epoch 20, train loss: 0.0052, val loss: 0.0215
Epoch 30, train loss: 0.0052, val loss: 0.0305
Epoch 40, train loss: 0.0051, val loss: 0.0227
Inferred coeffs for Ukraine: [2.4770052  2.456055   0.00812233]
Epoch 0, train loss: 0.0049, val loss: 0.0302
Epoch 10, train loss: 0.0061, val loss: 0.0032
Epoch 20, train loss: 0.0031, val loss: 0.0243
Epoch 30, train loss: 0.0005, val loss: 0.0045
Epoch 0, train loss: 0.0049, val loss: 0.0302
Epoch 10, train loss: 0.0061, val loss: 0.0032
Epoch 20, train loss: 0.0031, val loss: 0.0243
Epoch 30, train loss: 0.0005, val loss: 0.0045
Epoch 0, train loss: 0.0049, val loss: 0.0224
Epoch 10, train loss: 0.0009, val loss: 0.0161
Epoch 20, train loss: 0.0006, val loss: 0.0133
Epoch 30, train loss: 0.0006, val loss: 0.0134
Epoch 0, train loss: 0.0049, val loss: 0.0224
Epoch 10, train loss: 0.0009, val loss: 0.0161
Epoch 20, train loss: 0.0006, val loss: 0.0133
Epoch 30, train loss: 0.0006, val loss: 0.0134
Inferred coeffs for Belarus: [2.4695764e+00 2.4632938e+00 4.7042273e-04]
Epoch 0, train loss: 0.0578, val loss: 0.0775
Epoch 10, train loss: 0.0068, val loss: 0.0237
Epoch 20, train loss: 0.0091, val loss: 0.0736
Epoch 30, train loss: 0.0064, val loss: 0.0582
Epoch 40, train loss: 0.0068, val loss: 0.0444
Epoch 0, train loss: 0.0578, val loss: 0.0775
Epoch 10, train loss: 0.0068, val loss: 0.0237
Epoch 20, train loss: 0.0091, val loss: 0.0736
Epoch 30, train loss: 0.0064, val loss: 0.0582
Epoch 40, train loss: 0.0068, val loss: 0.0444
Epoch 0, train loss: 0.0578, val loss: 0.1300
Epoch 10, train loss: 0.0399, val loss: 0.0718
Epoch 20, train loss: 0.0222, val loss: 0.0143
Epoch 30, train loss: 0.0074, val loss: 0.0410
Epoch 40, train loss: 0.0074, val loss: 0.0707
Epoch 0, train loss: 0.0578, val loss: 0.1300
Epoch 10, train loss: 0.0399, val loss: 0.0718
Epoch 20, train loss: 0.0222, val loss: 0.0143
Epoch 30, train loss: 0.0074, val loss: 0.0410
Epoch 40, train loss: 0.0074, val loss: 0.0707
Epoch 50, train loss: 0.0072, val loss: 0.0655
Inferred coeffs for Tajikistan: [2.4878626  2.445249   0.01903819]
Epoch 0, train loss: 0.0161, val loss: 0.0019
Epoch 10, train loss: 0.0074, val loss: 0.0187
Epoch 20, train loss: 0.0052, val loss: 0.0052
Epoch 30, train loss: 0.0036, val loss: 0.0022
Epoch 0, train loss: 0.0161, val loss: 0.0019
Epoch 10, train loss: 0.0074, val loss: 0.0187
Epoch 20, train loss: 0.0052, val loss: 0.0052
Epoch 30, train loss: 0.0036, val loss: 0.0022
Epoch 0, train loss: 0.0161, val loss: 0.0528
Epoch 10, train loss: 0.0034, val loss: 0.0024
Epoch 20, train loss: 0.0035, val loss: 0.0021
Epoch 30, train loss: 0.0036, val loss: 0.0086
Epoch 40, train loss: 0.0034, val loss: 0.0019
Epoch 0, train loss: 0.0161, val loss: 0.0528
Epoch 10, train loss: 0.0034, val loss: 0.0024
Epoch 20, train loss: 0.0035, val loss: 0.0021
Epoch 30, train loss: 0.0036, val loss: 0.0086
Epoch 40, train loss: 0.0034, val loss: 0.0019
Epoch 50, train loss: 0.0034, val loss: 0.0021
Epoch 60, train loss: 0.0034, val loss: 0.0040
Inferred coeffs for Uzbekistan: [2.4747884  2.4583101  0.00594743]
Epoch 0, train loss: 0.0054, val loss: 0.0158
Epoch 10, train loss: 0.0064, val loss: 0.0125
Epoch 20, train loss: 0.0021, val loss: 0.0315
Epoch 30, train loss: 0.0018, val loss: 0.0193
Epoch 0, train loss: 0.0054, val loss: 0.0158
Epoch 10, train loss: 0.0064, val loss: 0.0125
Epoch 20, train loss: 0.0021, val loss: 0.0315
Epoch 30, train loss: 0.0018, val loss: 0.0193
Epoch 0, train loss: 0.0054, val loss: 0.0367
Epoch 10, train loss: 0.0021, val loss: 0.0230
Epoch 20, train loss: 0.0016, val loss: 0.0242
Epoch 30, train loss: 0.0016, val loss: 0.0293
Epoch 0, train loss: 0.0054, val loss: 0.0367
Epoch 10, train loss: 0.0021, val loss: 0.0230
Epoch 20, train loss: 0.0016, val loss: 0.0242
Epoch 30, train loss: 0.0016, val loss: 0.0293
Inferred coeffs for Bangladesh: [2.4713893e+00 2.4614549e+00 2.2715905e-03]
Epoch 0, train loss: 0.0229, val loss: 0.0412
Epoch 10, train loss: 0.0057, val loss: 0.0113
Epoch 20, train loss: 0.0049, val loss: 0.0080
Epoch 30, train loss: 0.0054, val loss: 0.0105
Epoch 40, train loss: 0.0048, val loss: 0.0192
Epoch 0, train loss: 0.0229, val loss: 0.0412
Epoch 10, train loss: 0.0057, val loss: 0.0113
Epoch 20, train loss: 0.0049, val loss: 0.0080
Epoch 30, train loss: 0.0054, val loss: 0.0105
Epoch 40, train loss: 0.0048, val loss: 0.0192
Epoch 0, train loss: 0.0229, val loss: 0.0938
Epoch 10, train loss: 0.0079, val loss: 0.0365
Epoch 20, train loss: 0.0067, val loss: 0.0038
Epoch 30, train loss: 0.0052, val loss: 0.0221
Epoch 40, train loss: 0.0050, val loss: 0.0174
Epoch 0, train loss: 0.0229, val loss: 0.0938
Epoch 10, train loss: 0.0079, val loss: 0.0365
Epoch 20, train loss: 0.0067, val loss: 0.0038
Epoch 30, train loss: 0.0052, val loss: 0.0221
Epoch 40, train loss: 0.0050, val loss: 0.0174
Inferred coeffs for Indonesia: [2.4819205  2.4508579  0.01273036]
Epoch 0, train loss: 0.0214, val loss: 0.0220
Epoch 10, train loss: 0.0068, val loss: 0.0492
Epoch 20, train loss: 0.0059, val loss: 0.0389
Epoch 30, train loss: 0.0055, val loss: 0.0333
Epoch 0, train loss: 0.0214, val loss: 0.0220
Epoch 10, train loss: 0.0068, val loss: 0.0492
Epoch 20, train loss: 0.0059, val loss: 0.0389
Epoch 30, train loss: 0.0055, val loss: 0.0333
Epoch 0, train loss: 0.0214, val loss: 0.0334
Epoch 10, train loss: 0.0054, val loss: 0.0265
Epoch 20, train loss: 0.0069, val loss: 0.0451
Epoch 30, train loss: 0.0054, val loss: 0.0266
Epoch 0, train loss: 0.0214, val loss: 0.0334
Epoch 10, train loss: 0.0054, val loss: 0.0265
Epoch 20, train loss: 0.0069, val loss: 0.0451
Epoch 30, train loss: 0.0054, val loss: 0.0266
Inferred coeffs for China: [2.4713070e+00 2.4615405e+00 2.2160311e-03]
Epoch 0, train loss: 0.0082, val loss: 0.0322
Epoch 10, train loss: 0.0103, val loss: 0.0326
Epoch 20, train loss: 0.0049, val loss: 0.0200
Epoch 30, train loss: 0.0053, val loss: 0.0155
Epoch 40, train loss: 0.0041, val loss: 0.0044
Epoch 0, train loss: 0.0082, val loss: 0.0322
Epoch 10, train loss: 0.0103, val loss: 0.0326
Epoch 20, train loss: 0.0049, val loss: 0.0200
Epoch 30, train loss: 0.0053, val loss: 0.0155
Epoch 40, train loss: 0.0041, val loss: 0.0044
Epoch 50, train loss: 0.0025, val loss: 0.0050
Epoch 60, train loss: 0.0023, val loss: 0.0083
Epoch 70, train loss: 0.0023, val loss: 0.0048
Epoch 80, train loss: 0.0016, val loss: 0.0057
Epoch 0, train loss: 0.0082, val loss: 0.0209
Epoch 10, train loss: 0.0025, val loss: 0.0061
Epoch 20, train loss: 0.0014, val loss: 0.0007
Epoch 30, train loss: 0.0012, val loss: 0.0005
Epoch 40, train loss: 0.0011, val loss: 0.0012
Epoch 0, train loss: 0.0082, val loss: 0.0209
Epoch 10, train loss: 0.0025, val loss: 0.0061
Epoch 20, train loss: 0.0014, val loss: 0.0007
Epoch 30, train loss: 0.0012, val loss: 0.0005
Epoch 40, train loss: 0.0011, val loss: 0.0012
Epoch 50, train loss: 0.0010, val loss: 0.0017
Inferred coeffs for Latvia: [2.4694235e+00 2.4636486e+00 5.5390177e-04]
Epoch 0, train loss: 0.0076, val loss: 0.0251
Epoch 10, train loss: 0.0050, val loss: 0.0057
Epoch 20, train loss: 0.0029, val loss: 0.0186
Epoch 30, train loss: 0.0033, val loss: 0.0116
Epoch 40, train loss: 0.0026, val loss: 0.0022
Epoch 0, train loss: 0.0076, val loss: 0.0251
Epoch 10, train loss: 0.0050, val loss: 0.0057
Epoch 20, train loss: 0.0029, val loss: 0.0186
Epoch 30, train loss: 0.0033, val loss: 0.0116
Epoch 40, train loss: 0.0026, val loss: 0.0022
Epoch 50, train loss: 0.0022, val loss: 0.0075
Epoch 0, train loss: 0.0076, val loss: 0.0279
Epoch 10, train loss: 0.0024, val loss: 0.0037
Epoch 20, train loss: 0.0025, val loss: 0.0095
Epoch 30, train loss: 0.0023, val loss: 0.0031
Epoch 0, train loss: 0.0076, val loss: 0.0279
Epoch 10, train loss: 0.0024, val loss: 0.0037
Epoch 20, train loss: 0.0025, val loss: 0.0095
Epoch 30, train loss: 0.0023, val loss: 0.0031
Inferred coeffs for Lithuania: [2.4703460e+00 2.4622445e+00 8.8730326e-04]
Epoch 0, train loss: 0.0093, val loss: 0.0234
Epoch 10, train loss: 0.0029, val loss: 0.0156
Epoch 20, train loss: 0.0021, val loss: 0.0055
Epoch 30, train loss: 0.0022, val loss: 0.0036
Epoch 40, train loss: 0.0019, val loss: 0.0060
Epoch 0, train loss: 0.0093, val loss: 0.0234
Epoch 10, train loss: 0.0029, val loss: 0.0156
Epoch 20, train loss: 0.0021, val loss: 0.0055
Epoch 30, train loss: 0.0022, val loss: 0.0036
Epoch 40, train loss: 0.0019, val loss: 0.0060
Epoch 50, train loss: 0.0019, val loss: 0.0050
Epoch 60, train loss: 0.0020, val loss: 0.0024
Epoch 0, train loss: 0.0093, val loss: 0.0290
Epoch 10, train loss: 0.0034, val loss: 0.0050
Epoch 20, train loss: 0.0025, val loss: 0.0080
Epoch 30, train loss: 0.0021, val loss: 0.0011
Epoch 0, train loss: 0.0093, val loss: 0.0290
Epoch 10, train loss: 0.0034, val loss: 0.0050
Epoch 20, train loss: 0.0025, val loss: 0.0080
Epoch 30, train loss: 0.0021, val loss: 0.0011
Inferred coeffs for Armenia: [2.4706037e+00 2.4621499e+00 1.3756171e-03]
Epoch 0, train loss: 0.0096, val loss: 0.0196
Epoch 10, train loss: 0.0033, val loss: 0.0204
Epoch 20, train loss: 0.0045, val loss: 0.0208
Epoch 30, train loss: 0.0035, val loss: 0.0134
Epoch 40, train loss: 0.0033, val loss: 0.0102
Epoch 0, train loss: 0.0096, val loss: 0.0196
Epoch 10, train loss: 0.0033, val loss: 0.0204
Epoch 20, train loss: 0.0045, val loss: 0.0208
Epoch 30, train loss: 0.0035, val loss: 0.0134
Epoch 40, train loss: 0.0033, val loss: 0.0102
Epoch 50, train loss: 0.0033, val loss: 0.0088
Epoch 60, train loss: 0.0033, val loss: 0.0055
Epoch 0, train loss: 0.0096, val loss: 0.0328
Epoch 10, train loss: 0.0042, val loss: 0.0064
Epoch 20, train loss: 0.0033, val loss: 0.0097
Epoch 30, train loss: 0.0033, val loss: 0.0078
Epoch 40, train loss: 0.0033, val loss: 0.0034
Epoch 0, train loss: 0.0096, val loss: 0.0328
Epoch 10, train loss: 0.0042, val loss: 0.0064
Epoch 20, train loss: 0.0033, val loss: 0.0097
Epoch 30, train loss: 0.0033, val loss: 0.0078
Epoch 40, train loss: 0.0033, val loss: 0.0034
Inferred coeffs for Djibouti: [2.4712267e+00 2.4615133e+00 2.0094740e-03]
Epoch 0, train loss: 0.0040, val loss: 0.0417
Epoch 10, train loss: 0.0070, val loss: 0.0095
Epoch 20, train loss: 0.0012, val loss: 0.0009
Epoch 30, train loss: 0.0023, val loss: 0.0053
Epoch 40, train loss: 0.0020, val loss: 0.0047
Epoch 0, train loss: 0.0040, val loss: 0.0417
Epoch 10, train loss: 0.0070, val loss: 0.0095
Epoch 20, train loss: 0.0012, val loss: 0.0009
Epoch 30, train loss: 0.0023, val loss: 0.0053
Epoch 40, train loss: 0.0020, val loss: 0.0047
Epoch 50, train loss: 0.0017, val loss: 0.0081
Epoch 60, train loss: 0.0017, val loss: 0.0045
Epoch 0, train loss: 0.0040, val loss: 0.0107
Epoch 10, train loss: 0.0010, val loss: 0.0074
Epoch 20, train loss: 0.0003, val loss: 0.0052
Epoch 30, train loss: 0.0004, val loss: 0.0049
Epoch 0, train loss: 0.0040, val loss: 0.0107
Epoch 10, train loss: 0.0010, val loss: 0.0074
Epoch 20, train loss: 0.0003, val loss: 0.0052
Epoch 30, train loss: 0.0004, val loss: 0.0049
Inferred coeffs for Guinea-Bissau: [ 2.4674447e+00  2.4650817e+00 -1.9784051e-03]