
Epoch 0, train loss: 0.0873, val loss: 1.0302
Epoch 10, train loss: 0.0344, val loss: 0.2741
Epoch 20, train loss: 0.0232, val loss: 0.1578
Epoch 30, train loss: 0.0187, val loss: 0.1024
Epoch 40, train loss: 0.0161, val loss: 0.0687
Epoch 0, train loss: 0.0873, val loss: 1.0302
Epoch 10, train loss: 0.0344, val loss: 0.2741
Epoch 20, train loss: 0.0232, val loss: 0.1578
Epoch 30, train loss: 0.0187, val loss: 0.1024
Epoch 40, train loss: 0.0161, val loss: 0.0687
Epoch 50, train loss: 0.0147, val loss: 0.0476
Epoch 60, train loss: 0.0136, val loss: 0.0376
Epoch 70, train loss: 0.0127, val loss: 0.0280
Epoch 80, train loss: 0.0122, val loss: 0.0372
Epoch 90, train loss: 0.0115, val loss: 0.0364
Epoch 0, train loss: 0.0873, val loss: 1.6361
Epoch 10, train loss: 0.0605, val loss: 0.9915
Epoch 20, train loss: 0.0461, val loss: 0.6974
Epoch 30, train loss: 0.0434, val loss: 0.5848
Epoch 40, train loss: 0.0406, val loss: 0.5400
Epoch 0, train loss: 0.0873, val loss: 1.6361
Epoch 10, train loss: 0.0605, val loss: 0.9915
Epoch 20, train loss: 0.0461, val loss: 0.6974
Epoch 30, train loss: 0.0434, val loss: 0.5848
Epoch 40, train loss: 0.0406, val loss: 0.5400
Epoch 50, train loss: 0.0382, val loss: 0.5048
Epoch 60, train loss: 0.0364, val loss: 0.4614
Epoch 70, train loss: 0.0346, val loss: 0.4222
Epoch 80, train loss: 0.0332, val loss: 0.3903
Epoch 90, train loss: 0.0319, val loss: 0.3624
Inferred coeffs for Canada: [2.91556   1.0340208 0.6019255]
Epoch 0, train loss: 0.0528, val loss: 0.9185
Epoch 10, train loss: 0.0290, val loss: 0.4068
Epoch 20, train loss: 0.0150, val loss: 0.1811
Epoch 30, train loss: 0.0093, val loss: 0.0741
Epoch 40, train loss: 0.0076, val loss: 0.0500
Epoch 0, train loss: 0.0528, val loss: 0.9185
Epoch 10, train loss: 0.0290, val loss: 0.4068
Epoch 20, train loss: 0.0150, val loss: 0.1811
Epoch 30, train loss: 0.0093, val loss: 0.0741
Epoch 40, train loss: 0.0076, val loss: 0.0500
Epoch 50, train loss: 0.0065, val loss: 0.0384
Epoch 60, train loss: 0.0056, val loss: 0.0342
Epoch 70, train loss: 0.0049, val loss: 0.0160
Epoch 80, train loss: 0.0048, val loss: 0.0060
Epoch 90, train loss: 0.0039, val loss: 0.0038
Epoch 0, train loss: 0.0528, val loss: 1.2463
Epoch 10, train loss: 0.0485, val loss: 1.1270
Epoch 20, train loss: 0.0446, val loss: 1.0463
Epoch 30, train loss: 0.0412, val loss: 0.9310
Epoch 40, train loss: 0.0381, val loss: 0.8425
Epoch 0, train loss: 0.0528, val loss: 1.2463
Epoch 10, train loss: 0.0485, val loss: 1.1270
Epoch 20, train loss: 0.0446, val loss: 1.0463
Epoch 30, train loss: 0.0412, val loss: 0.9310
Epoch 40, train loss: 0.0381, val loss: 0.8425
Epoch 50, train loss: 0.0355, val loss: 0.7628
Epoch 60, train loss: 0.0332, val loss: 0.6964
Epoch 70, train loss: 0.0310, val loss: 0.6435
Epoch 80, train loss: 0.0291, val loss: 0.5882
Epoch 90, train loss: 0.0275, val loss: 0.5405
Inferred coeffs for United Kingdom: [2.9512358  1.0051515  0.60020036]
Epoch 0, train loss: 0.0424, val loss: 0.0467
Epoch 10, train loss: 0.0172, val loss: 0.0506
Epoch 20, train loss: 0.0074, val loss: 0.0190
Epoch 30, train loss: 0.0048, val loss: 0.0384
Epoch 40, train loss: 0.0047, val loss: 0.0451
Epoch 0, train loss: 0.0424, val loss: 0.0467
Epoch 10, train loss: 0.0172, val loss: 0.0506
Epoch 20, train loss: 0.0074, val loss: 0.0190
Epoch 30, train loss: 0.0048, val loss: 0.0384
Epoch 40, train loss: 0.0047, val loss: 0.0451
Epoch 0, train loss: 0.0424, val loss: 0.0853
Epoch 10, train loss: 0.0077, val loss: 0.0539
Epoch 20, train loss: 0.0080, val loss: 0.0399
Epoch 30, train loss: 0.0049, val loss: 0.0328
Epoch 0, train loss: 0.0424, val loss: 0.0853
Epoch 10, train loss: 0.0077, val loss: 0.0539
Epoch 20, train loss: 0.0080, val loss: 0.0399
Epoch 30, train loss: 0.0049, val loss: 0.0328
Inferred coeffs for Spain: [3.3799531 1.0046101 0.9929964]
Epoch 0, train loss: 0.0149, val loss: 0.0919
Epoch 10, train loss: 0.0100, val loss: 0.0079
Epoch 20, train loss: 0.0045, val loss: 0.0242
Epoch 30, train loss: 0.0023, val loss: 0.0303
Epoch 0, train loss: 0.0149, val loss: 0.0919
Epoch 10, train loss: 0.0100, val loss: 0.0079
Epoch 20, train loss: 0.0045, val loss: 0.0242
Epoch 30, train loss: 0.0023, val loss: 0.0303
Epoch 0, train loss: 0.0149, val loss: 0.0636
Epoch 10, train loss: 0.0027, val loss: 0.0227
Epoch 20, train loss: 0.0026, val loss: 0.0130
Epoch 30, train loss: 0.0027, val loss: 0.0285
Epoch 0, train loss: 0.0149, val loss: 0.0636
Epoch 10, train loss: 0.0027, val loss: 0.0227
Epoch 20, train loss: 0.0026, val loss: 0.0130
Epoch 30, train loss: 0.0027, val loss: 0.0285
Inferred coeffs for Greece: [3.3804772 1.0021926 0.9951148]
Epoch 0, train loss: 0.0089, val loss: 0.1565
Epoch 10, train loss: 0.0148, val loss: 0.0623
Epoch 20, train loss: 0.0049, val loss: 0.0181
Epoch 30, train loss: 0.0026, val loss: 0.0235
Epoch 40, train loss: 0.0017, val loss: 0.0243
Epoch 0, train loss: 0.0089, val loss: 0.1565
Epoch 10, train loss: 0.0148, val loss: 0.0623
Epoch 20, train loss: 0.0049, val loss: 0.0181
Epoch 30, train loss: 0.0026, val loss: 0.0235
Epoch 40, train loss: 0.0017, val loss: 0.0243
Epoch 50, train loss: 0.0022, val loss: 0.0088
Epoch 60, train loss: 0.0025, val loss: 0.0239
Epoch 70, train loss: 0.0022, val loss: 0.0073
Epoch 80, train loss: 0.0023, val loss: 0.0192
Epoch 90, train loss: 0.0018, val loss: 0.0070
Epoch 0, train loss: 0.0089, val loss: 0.0182
Epoch 10, train loss: 0.0031, val loss: 0.0228
Epoch 20, train loss: 0.0012, val loss: 0.0282
Epoch 30, train loss: 0.0009, val loss: 0.0292
Epoch 0, train loss: 0.0089, val loss: 0.0182
Epoch 10, train loss: 0.0031, val loss: 0.0228
Epoch 20, train loss: 0.0012, val loss: 0.0282
Epoch 30, train loss: 0.0009, val loss: 0.0292
Inferred coeffs for Guatemala: [3.054563  0.9992603 0.9724497]
Epoch 0, train loss: 0.3918, val loss: 0.7637
Epoch 10, train loss: 0.0984, val loss: 0.3150
Epoch 20, train loss: 0.1003, val loss: 0.5795
Epoch 30, train loss: 0.0719, val loss: 0.4086
Epoch 0, train loss: 0.3918, val loss: 0.7637
Epoch 10, train loss: 0.0984, val loss: 0.3150
Epoch 20, train loss: 0.1003, val loss: 0.5795
Epoch 30, train loss: 0.0719, val loss: 0.4086
Epoch 0, train loss: 0.3918, val loss: 1.2020
Epoch 10, train loss: 0.3646, val loss: 0.7195
Epoch 20, train loss: 0.3352, val loss: 0.4299
Epoch 30, train loss: 0.3037, val loss: 0.2498
Epoch 40, train loss: 0.2707, val loss: 0.1510
Epoch 0, train loss: 0.3918, val loss: 1.2020
Epoch 10, train loss: 0.3646, val loss: 0.7195
Epoch 20, train loss: 0.3352, val loss: 0.4299
Epoch 30, train loss: 0.3037, val loss: 0.2498
Epoch 40, train loss: 0.2707, val loss: 0.1510
Epoch 50, train loss: 0.2369, val loss: 0.1105
Epoch 60, train loss: 0.2028, val loss: 0.0990
Epoch 70, train loss: 0.1687, val loss: 0.1134
Epoch 80, train loss: 0.1353, val loss: 0.1652
Inferred coeffs for Mexico: [3.445094  1.0591878 1.0480744]
Epoch 0, train loss: 0.0300, val loss: 0.1451
Epoch 10, train loss: 0.0078, val loss: 0.0535
Epoch 20, train loss: 0.0073, val loss: 0.0660
Epoch 30, train loss: 0.0062, val loss: 0.0403
Epoch 40, train loss: 0.0058, val loss: 0.0308
Epoch 0, train loss: 0.0300, val loss: 0.1451
Epoch 10, train loss: 0.0078, val loss: 0.0535
Epoch 20, train loss: 0.0073, val loss: 0.0660
Epoch 30, train loss: 0.0062, val loss: 0.0403
Epoch 40, train loss: 0.0058, val loss: 0.0308
Epoch 50, train loss: 0.0055, val loss: 0.0282
Epoch 60, train loss: 0.0053, val loss: 0.0270
Epoch 70, train loss: 0.0052, val loss: 0.0320
Epoch 80, train loss: 0.0051, val loss: 0.0333
Epoch 90, train loss: 0.0050, val loss: 0.0308
Epoch 0, train loss: 0.0300, val loss: 0.0285
Epoch 10, train loss: 0.0110, val loss: 0.1289
Epoch 20, train loss: 0.0084, val loss: 0.0861
Epoch 30, train loss: 0.0082, val loss: 0.0910
Epoch 0, train loss: 0.0300, val loss: 0.0285
Epoch 10, train loss: 0.0110, val loss: 0.1289
Epoch 20, train loss: 0.0084, val loss: 0.0861
Epoch 30, train loss: 0.0082, val loss: 0.0910
Inferred coeffs for Panama: [3.0669713  1.005536   0.69311166]
Epoch 0, train loss: 0.0090, val loss: 0.2053
Epoch 10, train loss: 0.0197, val loss: 0.1444
Epoch 20, train loss: 0.0119, val loss: 0.1000
Epoch 30, train loss: 0.0027, val loss: 0.0381
Epoch 0, train loss: 0.0090, val loss: 0.2053
Epoch 10, train loss: 0.0197, val loss: 0.1444
Epoch 20, train loss: 0.0119, val loss: 0.1000
Epoch 30, train loss: 0.0027, val loss: 0.0381
Epoch 0, train loss: 0.0090, val loss: 0.0808
Epoch 10, train loss: 0.0042, val loss: 0.0822
Epoch 20, train loss: 0.0038, val loss: 0.0889
Epoch 30, train loss: 0.0033, val loss: 0.0753
Epoch 40, train loss: 0.0030, val loss: 0.0677
Epoch 0, train loss: 0.0090, val loss: 0.0808
Epoch 10, train loss: 0.0042, val loss: 0.0822
Epoch 20, train loss: 0.0038, val loss: 0.0889
Epoch 30, train loss: 0.0033, val loss: 0.0753
Epoch 40, train loss: 0.0030, val loss: 0.0677
Epoch 50, train loss: 0.0028, val loss: 0.0638
Epoch 60, train loss: 0.0027, val loss: 0.0590
Epoch 70, train loss: 0.0025, val loss: 0.0531
Epoch 80, train loss: 0.0023, val loss: 0.0494
Epoch 90, train loss: 0.0022, val loss: 0.0456
Inferred coeffs for Costa Rica: [3.3323803  0.9933556  0.99049056]
Epoch 0, train loss: 0.0069, val loss: 0.1960
Epoch 10, train loss: 0.0111, val loss: 0.0800
Epoch 20, train loss: 0.0090, val loss: 0.0636
Epoch 30, train loss: 0.0026, val loss: 0.0596
Epoch 40, train loss: 0.0019, val loss: 0.0517
Epoch 0, train loss: 0.0069, val loss: 0.1960
Epoch 10, train loss: 0.0111, val loss: 0.0800
Epoch 20, train loss: 0.0090, val loss: 0.0636
Epoch 30, train loss: 0.0026, val loss: 0.0596
Epoch 40, train loss: 0.0019, val loss: 0.0517
Epoch 50, train loss: 0.0042, val loss: 0.0143
Epoch 60, train loss: 0.0051, val loss: 0.0403
Epoch 70, train loss: 0.0006, val loss: 0.0369
Epoch 80, train loss: 0.0013, val loss: 0.0151
Epoch 90, train loss: 0.0017, val loss: 0.0181
Epoch 0, train loss: 0.0069, val loss: 0.0668
Epoch 10, train loss: 0.0036, val loss: 0.0640
Epoch 20, train loss: 0.0021, val loss: 0.0643
Epoch 30, train loss: 0.0017, val loss: 0.0613
Epoch 40, train loss: 0.0014, val loss: 0.0584
Epoch 0, train loss: 0.0069, val loss: 0.0668
Epoch 10, train loss: 0.0036, val loss: 0.0640
Epoch 20, train loss: 0.0021, val loss: 0.0643
Epoch 30, train loss: 0.0017, val loss: 0.0613
Epoch 40, train loss: 0.0014, val loss: 0.0584
Epoch 50, train loss: 0.0012, val loss: 0.0549
Epoch 60, train loss: 0.0011, val loss: 0.0493
Epoch 70, train loss: 0.0010, val loss: 0.0468
Epoch 80, train loss: 0.0009, val loss: 0.0427
Epoch 90, train loss: 0.0009, val loss: 0.0395
Inferred coeffs for El Salvador: [3.0046334  0.9990746  0.93266964]
Epoch 0, train loss: 0.0639, val loss: 0.2293
Epoch 10, train loss: 0.0366, val loss: 0.1523
Epoch 20, train loss: 0.0293, val loss: 0.0835
Epoch 30, train loss: 0.0274, val loss: 0.0909
Epoch 40, train loss: 0.0268, val loss: 0.0914
Epoch 0, train loss: 0.0639, val loss: 0.2293
Epoch 10, train loss: 0.0366, val loss: 0.1523
Epoch 20, train loss: 0.0293, val loss: 0.0835
Epoch 30, train loss: 0.0274, val loss: 0.0909
Epoch 40, train loss: 0.0268, val loss: 0.0914
Epoch 50, train loss: 0.0259, val loss: 0.0813
Epoch 60, train loss: 0.0252, val loss: 0.0594
Epoch 70, train loss: 0.0248, val loss: 0.0527
Epoch 0, train loss: 0.0639, val loss: 0.1434
Epoch 10, train loss: 0.0343, val loss: 0.2301
Epoch 20, train loss: 0.0340, val loss: 0.2647
Epoch 30, train loss: 0.0331, val loss: 0.2424
Epoch 0, train loss: 0.0639, val loss: 0.1434
Epoch 10, train loss: 0.0343, val loss: 0.2301
Epoch 20, train loss: 0.0340, val loss: 0.2647
Epoch 30, train loss: 0.0331, val loss: 0.2424
Inferred coeffs for Japan: [3.1771135 1.0116941 0.7934956]
Epoch 0, train loss: 0.0402, val loss: 0.0548
Epoch 10, train loss: 0.0094, val loss: 0.0123
Epoch 20, train loss: 0.0109, val loss: 0.0448
Epoch 30, train loss: 0.0094, val loss: 0.0237
Epoch 40, train loss: 0.0095, val loss: 0.0309
Epoch 0, train loss: 0.0402, val loss: 0.0548
Epoch 10, train loss: 0.0094, val loss: 0.0123
Epoch 20, train loss: 0.0109, val loss: 0.0448
Epoch 30, train loss: 0.0094, val loss: 0.0237
Epoch 40, train loss: 0.0095, val loss: 0.0309
Epoch 0, train loss: 0.0402, val loss: 0.2043
Epoch 10, train loss: 0.0098, val loss: 0.0468
Epoch 20, train loss: 0.0094, val loss: 0.0411
Epoch 30, train loss: 0.0101, val loss: 0.0627
Epoch 40, train loss: 0.0094, val loss: 0.0342
Epoch 0, train loss: 0.0402, val loss: 0.2043
Epoch 10, train loss: 0.0098, val loss: 0.0468
Epoch 20, train loss: 0.0094, val loss: 0.0411
Epoch 30, train loss: 0.0101, val loss: 0.0627
Epoch 40, train loss: 0.0094, val loss: 0.0342
Inferred coeffs for Philippines: [3.3330836 1.0110066 1.0484966]
Epoch 0, train loss: 0.0246, val loss: 0.0325
Epoch 10, train loss: 0.0081, val loss: 0.0415
Epoch 20, train loss: 0.0083, val loss: 0.0251
Epoch 30, train loss: 0.0071, val loss: 0.0158
Epoch 40, train loss: 0.0067, val loss: 0.0641
Epoch 0, train loss: 0.0246, val loss: 0.0325
Epoch 10, train loss: 0.0081, val loss: 0.0415
Epoch 20, train loss: 0.0083, val loss: 0.0251
Epoch 30, train loss: 0.0071, val loss: 0.0158
Epoch 40, train loss: 0.0067, val loss: 0.0641
Epoch 50, train loss: 0.0073, val loss: 0.0578
Epoch 0, train loss: 0.0246, val loss: 0.1125
Epoch 10, train loss: 0.0104, val loss: 0.0209
Epoch 20, train loss: 0.0086, val loss: 0.0403
Epoch 30, train loss: 0.0084, val loss: 0.0294
Epoch 40, train loss: 0.0082, val loss: 0.0205
Epoch 0, train loss: 0.0246, val loss: 0.1125
Epoch 10, train loss: 0.0104, val loss: 0.0209
Epoch 20, train loss: 0.0086, val loss: 0.0403
Epoch 30, train loss: 0.0084, val loss: 0.0294
Epoch 40, train loss: 0.0082, val loss: 0.0205
Epoch 50, train loss: 0.0080, val loss: 0.0212
Epoch 60, train loss: 0.0078, val loss: 0.0191
Epoch 70, train loss: 0.0078, val loss: 0.0184
Epoch 80, train loss: 0.0077, val loss: 0.0173
Epoch 90, train loss: 0.0076, val loss: 0.0161
Inferred coeffs for Argentina: [3.3037143 1.004141  1.1112921]
Epoch 0, train loss: 0.0074, val loss: 0.2791
Epoch 10, train loss: 0.0063, val loss: 0.1029
Epoch 20, train loss: 0.0060, val loss: 0.0645
Epoch 30, train loss: 0.0050, val loss: 0.0559
Epoch 40, train loss: 0.0026, val loss: 0.0290
Epoch 0, train loss: 0.0074, val loss: 0.2791
Epoch 10, train loss: 0.0063, val loss: 0.1029
Epoch 20, train loss: 0.0060, val loss: 0.0645
Epoch 30, train loss: 0.0050, val loss: 0.0559
Epoch 40, train loss: 0.0026, val loss: 0.0290
Epoch 50, train loss: 0.0015, val loss: 0.0288
Epoch 60, train loss: 0.0018, val loss: 0.0213
Epoch 70, train loss: 0.0017, val loss: 0.0088
Epoch 80, train loss: 0.0020, val loss: 0.0082
Epoch 90, train loss: 0.0024, val loss: 0.0025
Epoch 0, train loss: 0.0074, val loss: 0.1983
Epoch 10, train loss: 0.0068, val loss: 0.1738
Epoch 20, train loss: 0.0063, val loss: 0.1571
Epoch 30, train loss: 0.0058, val loss: 0.1424
Epoch 40, train loss: 0.0053, val loss: 0.1293
Epoch 0, train loss: 0.0074, val loss: 0.1983
Epoch 10, train loss: 0.0068, val loss: 0.1738
Epoch 20, train loss: 0.0063, val loss: 0.1571
Epoch 30, train loss: 0.0058, val loss: 0.1424
Epoch 40, train loss: 0.0053, val loss: 0.1293
Epoch 50, train loss: 0.0050, val loss: 0.1191
Epoch 60, train loss: 0.0046, val loss: 0.1080
Epoch 70, train loss: 0.0043, val loss: 0.1016
Epoch 80, train loss: 0.0041, val loss: 0.0937
Epoch 90, train loss: 0.0038, val loss: 0.0853
Inferred coeffs for Brazil: [2.9559932  0.99857837 0.716551  ]
Epoch 0, train loss: 0.2739, val loss: 1.0146
Epoch 10, train loss: 0.0907, val loss: 0.0380
Epoch 20, train loss: 0.0720, val loss: 0.2149
Epoch 30, train loss: 0.0730, val loss: 0.1848
Epoch 0, train loss: 0.2739, val loss: 1.0146
Epoch 10, train loss: 0.0907, val loss: 0.0380
Epoch 20, train loss: 0.0720, val loss: 0.2149
Epoch 30, train loss: 0.0730, val loss: 0.1848
Epoch 0, train loss: 0.2739, val loss: 1.1584
Epoch 10, train loss: 0.2311, val loss: 0.9967
Epoch 20, train loss: 0.1887, val loss: 0.8361
Epoch 30, train loss: 0.1491, val loss: 0.6828
Epoch 40, train loss: 0.1242, val loss: 0.5523
Epoch 0, train loss: 0.2739, val loss: 1.1584
Epoch 10, train loss: 0.2311, val loss: 0.9967
Epoch 20, train loss: 0.1887, val loss: 0.8361
Epoch 30, train loss: 0.1491, val loss: 0.6828
Epoch 40, train loss: 0.1242, val loss: 0.5523
Epoch 50, train loss: 0.1073, val loss: 0.4483
Epoch 60, train loss: 0.0921, val loss: 0.3557
Epoch 70, train loss: 0.0784, val loss: 0.2698
Epoch 80, train loss: 0.0717, val loss: 0.2023
Epoch 90, train loss: 0.0702, val loss: 0.1632
Inferred coeffs for Chile: [3.4479902 1.0854927 1.0874044]
Epoch 0, train loss: 0.0185, val loss: 0.1276
Epoch 10, train loss: 0.0157, val loss: 0.0718
Epoch 20, train loss: 0.0040, val loss: 0.0147
Epoch 30, train loss: 0.0034, val loss: 0.0343
Epoch 40, train loss: 0.0028, val loss: 0.0125
Epoch 0, train loss: 0.0185, val loss: 0.1276
Epoch 10, train loss: 0.0157, val loss: 0.0718
Epoch 20, train loss: 0.0040, val loss: 0.0147
Epoch 30, train loss: 0.0034, val loss: 0.0343
Epoch 40, train loss: 0.0028, val loss: 0.0125
Epoch 0, train loss: 0.0185, val loss: 0.0175
Epoch 10, train loss: 0.0059, val loss: 0.0495
Epoch 20, train loss: 0.0038, val loss: 0.0295
Epoch 30, train loss: 0.0033, val loss: 0.0301
Epoch 0, train loss: 0.0185, val loss: 0.0175
Epoch 10, train loss: 0.0059, val loss: 0.0495
Epoch 20, train loss: 0.0038, val loss: 0.0295
Epoch 30, train loss: 0.0033, val loss: 0.0301
Inferred coeffs for Ecuador: [3.2638042  0.99980223 1.0054748 ]
Epoch 0, train loss: 0.0187, val loss: 0.1380
Epoch 10, train loss: 0.0160, val loss: 0.0862
Epoch 20, train loss: 0.0050, val loss: 0.0309
Epoch 30, train loss: 0.0046, val loss: 0.0350
Epoch 40, train loss: 0.0024, val loss: 0.0157
Epoch 0, train loss: 0.0187, val loss: 0.1380
Epoch 10, train loss: 0.0160, val loss: 0.0862
Epoch 20, train loss: 0.0050, val loss: 0.0309
Epoch 30, train loss: 0.0046, val loss: 0.0350
Epoch 40, train loss: 0.0024, val loss: 0.0157
Epoch 0, train loss: 0.0187, val loss: 0.0165
Epoch 10, train loss: 0.0060, val loss: 0.0662
Epoch 20, train loss: 0.0036, val loss: 0.0458
Epoch 30, train loss: 0.0032, val loss: 0.0441
Epoch 0, train loss: 0.0187, val loss: 0.0165
Epoch 10, train loss: 0.0060, val loss: 0.0662
Epoch 20, train loss: 0.0036, val loss: 0.0458
Epoch 30, train loss: 0.0032, val loss: 0.0441
Inferred coeffs for Peru: [3.2755857 0.9989672 1.0053583]
Epoch 0, train loss: 0.0136, val loss: 0.0069
Epoch 10, train loss: 0.0073, val loss: 0.1415
Epoch 20, train loss: 0.0071, val loss: 0.1259
Epoch 30, train loss: 0.0066, val loss: 0.1274
Epoch 0, train loss: 0.0136, val loss: 0.0069
Epoch 10, train loss: 0.0073, val loss: 0.1415
Epoch 20, train loss: 0.0071, val loss: 0.1259
Epoch 30, train loss: 0.0066, val loss: 0.1274
Epoch 0, train loss: 0.0136, val loss: 0.1569
Epoch 10, train loss: 0.0043, val loss: 0.1389
Epoch 20, train loss: 0.0052, val loss: 0.1247
Epoch 30, train loss: 0.0046, val loss: 0.1251
Epoch 0, train loss: 0.0136, val loss: 0.1569
Epoch 10, train loss: 0.0043, val loss: 0.1389
Epoch 20, train loss: 0.0052, val loss: 0.1247
Epoch 30, train loss: 0.0046, val loss: 0.1251
Inferred coeffs for Thailand: [3.3746777 1.0076108 0.99     ]
Epoch 0, train loss: 0.0095, val loss: 0.1196
Epoch 10, train loss: 0.0148, val loss: 0.0201
Epoch 20, train loss: 0.0009, val loss: 0.0057
Epoch 30, train loss: 0.0010, val loss: 0.0086
Epoch 40, train loss: 0.0015, val loss: 0.0094
Epoch 0, train loss: 0.0095, val loss: 0.1196
Epoch 10, train loss: 0.0148, val loss: 0.0201
Epoch 20, train loss: 0.0009, val loss: 0.0057
Epoch 30, train loss: 0.0010, val loss: 0.0086
Epoch 40, train loss: 0.0015, val loss: 0.0094
Epoch 0, train loss: 0.0095, val loss: 0.0327
Epoch 10, train loss: 0.0030, val loss: 0.0242
Epoch 20, train loss: 0.0010, val loss: 0.0177
Epoch 30, train loss: 0.0009, val loss: 0.0128
Epoch 0, train loss: 0.0095, val loss: 0.0327
Epoch 10, train loss: 0.0030, val loss: 0.0242
Epoch 20, train loss: 0.0010, val loss: 0.0177
Epoch 30, train loss: 0.0009, val loss: 0.0128
Inferred coeffs for Malaysia: [3.3795338 1.0006857 0.9966217]
Epoch 0, train loss: 0.0986, val loss: 0.2745
Epoch 10, train loss: 0.0405, val loss: 0.1285
Epoch 20, train loss: 0.0381, val loss: 0.0579
Epoch 30, train loss: 0.0318, val loss: 0.0544
Epoch 0, train loss: 0.0986, val loss: 0.2745
Epoch 10, train loss: 0.0405, val loss: 0.1285
Epoch 20, train loss: 0.0381, val loss: 0.0579
Epoch 30, train loss: 0.0318, val loss: 0.0544
Epoch 0, train loss: 0.0986, val loss: 0.4056
Epoch 10, train loss: 0.0654, val loss: 0.2611
Epoch 20, train loss: 0.0436, val loss: 0.1256
Epoch 30, train loss: 0.0326, val loss: 0.0139
Epoch 40, train loss: 0.0337, val loss: 0.0301
Epoch 0, train loss: 0.0986, val loss: 0.4056
Epoch 10, train loss: 0.0654, val loss: 0.2611
Epoch 20, train loss: 0.0436, val loss: 0.1256
Epoch 30, train loss: 0.0326, val loss: 0.0139
Epoch 40, train loss: 0.0337, val loss: 0.0301
Epoch 50, train loss: 0.0318, val loss: 0.0092
Epoch 60, train loss: 0.0321, val loss: 0.0125
Inferred coeffs for Australia: [3.389414  1.026431  1.0295894]
Epoch 0, train loss: 0.0175, val loss: 0.1792
Epoch 10, train loss: 0.0217, val loss: 0.1650
Epoch 20, train loss: 0.0106, val loss: 0.1393
Epoch 30, train loss: 0.0080, val loss: 0.1001
Epoch 0, train loss: 0.0175, val loss: 0.1792
Epoch 10, train loss: 0.0217, val loss: 0.1650
Epoch 20, train loss: 0.0106, val loss: 0.1393
Epoch 30, train loss: 0.0080, val loss: 0.1001
Epoch 0, train loss: 0.0175, val loss: 0.0746
Epoch 10, train loss: 0.0043, val loss: 0.1152
Epoch 20, train loss: 0.0028, val loss: 0.1062
Epoch 30, train loss: 0.0029, val loss: 0.0937
Epoch 0, train loss: 0.0175, val loss: 0.0746
Epoch 10, train loss: 0.0043, val loss: 0.1152
Epoch 20, train loss: 0.0028, val loss: 0.1062
Epoch 30, train loss: 0.0029, val loss: 0.0937
Inferred coeffs for China: [3.3669088 0.995252  1.0006716]
Epoch 0, train loss: 0.9905, val loss: 3.5807
Epoch 10, train loss: 0.4717, val loss: 1.1161
Epoch 20, train loss: 0.2442, val loss: 0.4623
Epoch 30, train loss: 0.1238, val loss: 0.1231
Epoch 40, train loss: 0.1182, val loss: 0.0419
Epoch 0, train loss: 0.9905, val loss: 3.5807
Epoch 10, train loss: 0.4717, val loss: 1.1161
Epoch 20, train loss: 0.2442, val loss: 0.4623
Epoch 30, train loss: 0.1238, val loss: 0.1231
Epoch 40, train loss: 0.1182, val loss: 0.0419
Epoch 50, train loss: 0.1175, val loss: 0.0329
Epoch 60, train loss: 0.1099, val loss: 0.0547
Epoch 0, train loss: 0.9905, val loss: 3.9012
Epoch 10, train loss: 0.9203, val loss: 3.5447
Epoch 20, train loss: 0.8537, val loss: 3.1741
Epoch 30, train loss: 0.7916, val loss: 2.8086
Epoch 40, train loss: 0.7341, val loss: 2.4674
Epoch 0, train loss: 0.9905, val loss: 3.9012
Epoch 10, train loss: 0.9203, val loss: 3.5447
Epoch 20, train loss: 0.8537, val loss: 3.1741
Epoch 30, train loss: 0.7916, val loss: 2.8086
Epoch 40, train loss: 0.7341, val loss: 2.4674
Epoch 50, train loss: 0.6811, val loss: 2.1660
Epoch 60, train loss: 0.6336, val loss: 1.9127
Epoch 70, train loss: 0.5909, val loss: 1.7046
Epoch 80, train loss: 0.5527, val loss: 1.5330
Epoch 90, train loss: 0.5178, val loss: 1.3887
Inferred coeffs for United States: [3.643002  1.2687837 0.7985052]