
Epoch 0, train loss: 0.1191, val loss: 0.0726
Epoch 10, train loss: 0.0343, val loss: 0.0346
Epoch 20, train loss: 0.0240, val loss: 0.0513
Epoch 30, train loss: 0.0192, val loss: 0.0764
Epoch 0, train loss: 0.1191, val loss: 0.0726
Epoch 10, train loss: 0.0343, val loss: 0.0346
Epoch 20, train loss: 0.0240, val loss: 0.0513
Epoch 30, train loss: 0.0192, val loss: 0.0764
Epoch 0, train loss: 0.1191, val loss: 0.3497
Epoch 10, train loss: 0.0486, val loss: 0.0433
Epoch 20, train loss: 0.0257, val loss: 0.1730
Epoch 30, train loss: 0.0256, val loss: 0.1535
Epoch 40, train loss: 0.0204, val loss: 0.0583
Epoch 0, train loss: 0.1191, val loss: 0.3497
Epoch 10, train loss: 0.0486, val loss: 0.0433
Epoch 20, train loss: 0.0257, val loss: 0.1730
Epoch 30, train loss: 0.0256, val loss: 0.1535
Epoch 40, train loss: 0.0204, val loss: 0.0583
Inferred coeffs for Canada: [3.7696874e+00 1.0000000e-06 1.9996990e+00 1.0000000e-06 1.2788247e+00]
Epoch 0, train loss: 0.0574, val loss: 0.1531
Epoch 10, train loss: 0.0331, val loss: 0.1471
Epoch 20, train loss: 0.0093, val loss: 0.0345
Epoch 30, train loss: 0.0075, val loss: 0.0130
Epoch 40, train loss: 0.0042, val loss: 0.0539
Epoch 0, train loss: 0.0574, val loss: 0.1531
Epoch 10, train loss: 0.0331, val loss: 0.1471
Epoch 20, train loss: 0.0093, val loss: 0.0345
Epoch 30, train loss: 0.0075, val loss: 0.0130
Epoch 40, train loss: 0.0042, val loss: 0.0539
Epoch 0, train loss: 0.0574, val loss: 0.2440
Epoch 10, train loss: 0.0161, val loss: 0.0673
Epoch 20, train loss: 0.0092, val loss: 0.0372
Epoch 30, train loss: 0.0045, val loss: 0.0022
Epoch 40, train loss: 0.0053, val loss: 0.0159
Epoch 0, train loss: 0.0574, val loss: 0.2440
Epoch 10, train loss: 0.0161, val loss: 0.0673
Epoch 20, train loss: 0.0092, val loss: 0.0372
Epoch 30, train loss: 0.0045, val loss: 0.0022
Epoch 40, train loss: 0.0053, val loss: 0.0159
Epoch 50, train loss: 0.0048, val loss: 0.0108
Epoch 60, train loss: 0.0044, val loss: 0.0051
Epoch 70, train loss: 0.0044, val loss: 0.0077
Inferred coeffs for United Kingdom: [3.7599444e+00 1.0000000e-06 1.9802781e+00 1.0000000e-06 1.2586300e+00]
Epoch 0, train loss: 0.0108, val loss: 0.3567
Epoch 10, train loss: 0.0275, val loss: 0.0278
Epoch 20, train loss: 0.0149, val loss: 0.1308
Epoch 30, train loss: 0.0167, val loss: 0.0775
Epoch 40, train loss: 0.0119, val loss: 0.0136
Epoch 0, train loss: 0.0108, val loss: 0.3567
Epoch 10, train loss: 0.0275, val loss: 0.0278
Epoch 20, train loss: 0.0149, val loss: 0.1308
Epoch 30, train loss: 0.0167, val loss: 0.0775
Epoch 40, train loss: 0.0119, val loss: 0.0136
Epoch 50, train loss: 0.0107, val loss: 0.0345
Epoch 0, train loss: 0.0108, val loss: 0.0151
Epoch 10, train loss: 0.0100, val loss: 0.0337
Epoch 20, train loss: 0.0100, val loss: 0.0353
Epoch 30, train loss: 0.0100, val loss: 0.0364
Epoch 0, train loss: 0.0108, val loss: 0.0151
Epoch 10, train loss: 0.0100, val loss: 0.0337
Epoch 20, train loss: 0.0100, val loss: 0.0353
Epoch 30, train loss: 0.0100, val loss: 0.0364
Inferred coeffs for Spain: [3.6440096e+00 1.0000000e-06 1.9864212e+00 1.0000000e-06 1.2527213e+00]
Epoch 0, train loss: 0.0657, val loss: 0.0111
Epoch 10, train loss: 0.0265, val loss: 0.0533
Epoch 20, train loss: 0.0109, val loss: 0.0034
Epoch 30, train loss: 0.0051, val loss: 0.0083
Epoch 40, train loss: 0.0022, val loss: 0.0058
Epoch 0, train loss: 0.0657, val loss: 0.0111
Epoch 10, train loss: 0.0265, val loss: 0.0533
Epoch 20, train loss: 0.0109, val loss: 0.0034
Epoch 30, train loss: 0.0051, val loss: 0.0083
Epoch 40, train loss: 0.0022, val loss: 0.0058
Epoch 50, train loss: 0.0022, val loss: 0.0223
Epoch 60, train loss: 0.0076, val loss: 0.0034
Epoch 70, train loss: 0.0016, val loss: 0.0138
Epoch 0, train loss: 0.0657, val loss: 0.2788
Epoch 10, train loss: 0.0018, val loss: 0.0124
Epoch 20, train loss: 0.0083, val loss: 0.0195
Epoch 30, train loss: 0.0030, val loss: 0.0096
Epoch 40, train loss: 0.0020, val loss: 0.0129
Epoch 0, train loss: 0.0657, val loss: 0.2788
Epoch 10, train loss: 0.0018, val loss: 0.0124
Epoch 20, train loss: 0.0083, val loss: 0.0195
Epoch 30, train loss: 0.0030, val loss: 0.0096
Epoch 40, train loss: 0.0020, val loss: 0.0129
Epoch 50, train loss: 0.0016, val loss: 0.0115
Epoch 60, train loss: 0.0012, val loss: 0.0072
Epoch 70, train loss: 0.0010, val loss: 0.0046
Epoch 80, train loss: 0.0009, val loss: 0.0028
Inferred coeffs for Greece: [3.5303926e+00 1.0000000e-06 1.9975945e+00 1.0000000e-06 1.2585037e+00]
Epoch 0, train loss: 0.0783, val loss: 0.0757
Epoch 10, train loss: 0.0303, val loss: 0.0947
Epoch 20, train loss: 0.0165, val loss: 0.0902
Epoch 30, train loss: 0.0161, val loss: 0.0768
Epoch 40, train loss: 0.0142, val loss: 0.0722
Epoch 0, train loss: 0.0783, val loss: 0.0757
Epoch 10, train loss: 0.0303, val loss: 0.0947
Epoch 20, train loss: 0.0165, val loss: 0.0902
Epoch 30, train loss: 0.0161, val loss: 0.0768
Epoch 40, train loss: 0.0142, val loss: 0.0722
Epoch 50, train loss: 0.0092, val loss: 0.0490
Epoch 60, train loss: 0.0027, val loss: 0.0188
Epoch 70, train loss: 0.0011, val loss: 0.0041
Epoch 80, train loss: 0.0030, val loss: 0.0027
Epoch 90, train loss: 0.0009, val loss: 0.0028
Epoch 0, train loss: 0.0783, val loss: 0.3473
Epoch 10, train loss: 0.0154, val loss: 0.0521
Epoch 20, train loss: 0.0120, val loss: 0.0346
Epoch 30, train loss: 0.0056, val loss: 0.0321
Epoch 40, train loss: 0.0018, val loss: 0.0095
Epoch 0, train loss: 0.0783, val loss: 0.3473
Epoch 10, train loss: 0.0154, val loss: 0.0521
Epoch 20, train loss: 0.0120, val loss: 0.0346
Epoch 30, train loss: 0.0056, val loss: 0.0321
Epoch 40, train loss: 0.0018, val loss: 0.0095
Epoch 50, train loss: 0.0013, val loss: 0.0085
Epoch 60, train loss: 0.0008, val loss: 0.0116
Inferred coeffs for Guatemala: [3.7510948e+00 1.0000000e-06 1.9998803e+00 1.0000000e-06 1.2783116e+00]
Epoch 0, train loss: 0.5072, val loss: 0.8650
Epoch 10, train loss: 0.1520, val loss: 1.0231
Epoch 20, train loss: 0.1577, val loss: 1.0238
Epoch 30, train loss: 0.1722, val loss: 1.0639
Epoch 0, train loss: 0.5072, val loss: 0.8650
Epoch 10, train loss: 0.1520, val loss: 1.0231
Epoch 20, train loss: 0.1577, val loss: 1.0238
Epoch 30, train loss: 0.1722, val loss: 1.0639
Epoch 0, train loss: 0.5072, val loss: 1.1273
Epoch 10, train loss: 0.4396, val loss: 0.8347
Epoch 20, train loss: 0.3757, val loss: 0.5616
Epoch 30, train loss: 0.3142, val loss: 0.2829
Epoch 40, train loss: 0.2537, val loss: 0.1373
Epoch 0, train loss: 0.5072, val loss: 1.1273
Epoch 10, train loss: 0.4396, val loss: 0.8347
Epoch 20, train loss: 0.3757, val loss: 0.5616
Epoch 30, train loss: 0.3142, val loss: 0.2829
Epoch 40, train loss: 0.2537, val loss: 0.1373
Epoch 50, train loss: 0.1910, val loss: 0.3288
Epoch 60, train loss: 0.1559, val loss: 0.5140
Inferred coeffs for Mexico: [3.8082211e+00 1.0000000e-06 2.0238981e+00 1.0000000e-06 1.3046848e+00]
Epoch 0, train loss: 0.0949, val loss: 0.0903
Epoch 10, train loss: 0.0092, val loss: 0.0647
Epoch 20, train loss: 0.0114, val loss: 0.0748
Epoch 30, train loss: 0.0060, val loss: 0.0084
Epoch 40, train loss: 0.0060, val loss: 0.0395
Epoch 0, train loss: 0.0949, val loss: 0.0903
Epoch 10, train loss: 0.0092, val loss: 0.0647
Epoch 20, train loss: 0.0114, val loss: 0.0748
Epoch 30, train loss: 0.0060, val loss: 0.0084
Epoch 40, train loss: 0.0060, val loss: 0.0395
Epoch 50, train loss: 0.0060, val loss: 0.0189
Epoch 0, train loss: 0.0949, val loss: 0.3577
Epoch 10, train loss: 0.0319, val loss: 0.0667
Epoch 20, train loss: 0.0155, val loss: 0.0967
Epoch 30, train loss: 0.0076, val loss: 0.0403
Epoch 40, train loss: 0.0068, val loss: 0.0256
Epoch 0, train loss: 0.0949, val loss: 0.3577
Epoch 10, train loss: 0.0319, val loss: 0.0667
Epoch 20, train loss: 0.0155, val loss: 0.0967
Epoch 30, train loss: 0.0076, val loss: 0.0403
Epoch 40, train loss: 0.0068, val loss: 0.0256
Inferred coeffs for Panama: [3.6215141e+00 1.0000000e-06 2.0008957e+00 1.0000000e-06 1.2667656e+00]
Epoch 0, train loss: 0.0772, val loss: 0.0567
Epoch 10, train loss: 0.0469, val loss: 0.1709
Epoch 20, train loss: 0.0061, val loss: 0.0499
Epoch 30, train loss: 0.0190, val loss: 0.0532
Epoch 0, train loss: 0.0772, val loss: 0.0567
Epoch 10, train loss: 0.0469, val loss: 0.1709
Epoch 20, train loss: 0.0061, val loss: 0.0499
Epoch 30, train loss: 0.0190, val loss: 0.0532
Epoch 0, train loss: 0.0772, val loss: 0.3269
Epoch 10, train loss: 0.0140, val loss: 0.0330
Epoch 20, train loss: 0.0128, val loss: 0.0504
Epoch 30, train loss: 0.0056, val loss: 0.0196
Epoch 40, train loss: 0.0021, val loss: 0.0048
Epoch 0, train loss: 0.0772, val loss: 0.3269
Epoch 10, train loss: 0.0140, val loss: 0.0330
Epoch 20, train loss: 0.0128, val loss: 0.0504
Epoch 30, train loss: 0.0056, val loss: 0.0196
Epoch 40, train loss: 0.0021, val loss: 0.0048
Epoch 50, train loss: 0.0015, val loss: 0.0062
Inferred coeffs for Costa Rica: [3.7536554e+00 1.0000000e-06 1.9990072e+00 1.0000000e-06 1.2776186e+00]
Epoch 0, train loss: 0.0755, val loss: 0.0554
Epoch 10, train loss: 0.0537, val loss: 0.2185
Epoch 20, train loss: 0.0122, val loss: 0.0884
Epoch 30, train loss: 0.0071, val loss: 0.0385
Epoch 40, train loss: 0.0069, val loss: 0.0146
Epoch 0, train loss: 0.0755, val loss: 0.0554
Epoch 10, train loss: 0.0537, val loss: 0.2185
Epoch 20, train loss: 0.0122, val loss: 0.0884
Epoch 30, train loss: 0.0071, val loss: 0.0385
Epoch 40, train loss: 0.0069, val loss: 0.0146
Epoch 50, train loss: 0.0026, val loss: 0.0057
Epoch 60, train loss: 0.0015, val loss: 0.0100
Epoch 70, train loss: 0.0014, val loss: 0.0115
Epoch 80, train loss: 0.0022, val loss: 0.0014
Epoch 90, train loss: 0.0014, val loss: 0.0113
Epoch 0, train loss: 0.0755, val loss: 0.3238
Epoch 10, train loss: 0.0127, val loss: 0.0319
Epoch 20, train loss: 0.0121, val loss: 0.0422
Epoch 30, train loss: 0.0055, val loss: 0.0224
Epoch 40, train loss: 0.0013, val loss: 0.0044
Epoch 0, train loss: 0.0755, val loss: 0.3238
Epoch 10, train loss: 0.0127, val loss: 0.0319
Epoch 20, train loss: 0.0121, val loss: 0.0422
Epoch 30, train loss: 0.0055, val loss: 0.0224
Epoch 40, train loss: 0.0013, val loss: 0.0044
Epoch 50, train loss: 0.0020, val loss: 0.0039
Epoch 60, train loss: 0.0013, val loss: 0.0021
Epoch 70, train loss: 0.0014, val loss: 0.0020
Epoch 80, train loss: 0.0013, val loss: 0.0019
Epoch 90, train loss: 0.0013, val loss: 0.0020
Inferred coeffs for El Salvador: [3.4619043e+00 1.0000000e-06 1.9993098e+00 1.0000000e-06 1.2535881e+00]
Epoch 0, train loss: 0.1016, val loss: 0.0073
Epoch 10, train loss: 0.0426, val loss: 0.0182
Epoch 20, train loss: 0.0272, val loss: 0.0266
Epoch 30, train loss: 0.0276, val loss: 0.0690
Epoch 0, train loss: 0.1016, val loss: 0.0073
Epoch 10, train loss: 0.0426, val loss: 0.0182
Epoch 20, train loss: 0.0272, val loss: 0.0266
Epoch 30, train loss: 0.0276, val loss: 0.0690
Epoch 0, train loss: 0.1016, val loss: 0.2636
Epoch 10, train loss: 0.0363, val loss: 0.0270
Epoch 20, train loss: 0.0332, val loss: 0.1651
Epoch 30, train loss: 0.0304, val loss: 0.1247
Epoch 0, train loss: 0.1016, val loss: 0.2636
Epoch 10, train loss: 0.0363, val loss: 0.0270
Epoch 20, train loss: 0.0332, val loss: 0.1651
Epoch 30, train loss: 0.0304, val loss: 0.1247
Inferred coeffs for Japan: [3.7633076e+00 1.0000000e-06 1.9967064e+00 1.0000000e-06 1.2757856e+00]
Epoch 0, train loss: 0.1033, val loss: 0.2289
Epoch 10, train loss: 0.0109, val loss: 0.0372
Epoch 20, train loss: 0.0089, val loss: 0.0274
Epoch 30, train loss: 0.0098, val loss: 0.0374
Epoch 0, train loss: 0.1033, val loss: 0.2289
Epoch 10, train loss: 0.0109, val loss: 0.0372
Epoch 20, train loss: 0.0089, val loss: 0.0274
Epoch 30, train loss: 0.0098, val loss: 0.0374
Epoch 0, train loss: 0.1033, val loss: 0.4991
Epoch 10, train loss: 0.0401, val loss: 0.2052
Epoch 20, train loss: 0.0105, val loss: 0.0161
Epoch 30, train loss: 0.0092, val loss: 0.0388
Epoch 40, train loss: 0.0106, val loss: 0.0791
Epoch 0, train loss: 0.1033, val loss: 0.4991
Epoch 10, train loss: 0.0401, val loss: 0.2052
Epoch 20, train loss: 0.0105, val loss: 0.0161
Epoch 30, train loss: 0.0092, val loss: 0.0388
Epoch 40, train loss: 0.0106, val loss: 0.0791
Epoch 50, train loss: 0.0085, val loss: 0.0425
Inferred coeffs for Philippines: [3.7567275e+00 1.0000000e-06 2.0068119e+00 1.0000000e-06 1.2861147e+00]
Epoch 0, train loss: 0.0871, val loss: 0.1537
Epoch 10, train loss: 0.0291, val loss: 0.1244
Epoch 20, train loss: 0.0200, val loss: 0.1270
Epoch 30, train loss: 0.0118, val loss: 0.0899
Epoch 40, train loss: 0.0095, val loss: 0.0714
Epoch 0, train loss: 0.0871, val loss: 0.1537
Epoch 10, train loss: 0.0291, val loss: 0.1244
Epoch 20, train loss: 0.0200, val loss: 0.1270
Epoch 30, train loss: 0.0118, val loss: 0.0899
Epoch 40, train loss: 0.0095, val loss: 0.0714
Epoch 50, train loss: 0.0095, val loss: 0.0728
Epoch 0, train loss: 0.0871, val loss: 0.4233
Epoch 10, train loss: 0.0238, val loss: 0.1299
Epoch 20, train loss: 0.0158, val loss: 0.0275
Epoch 30, train loss: 0.0087, val loss: 0.0607
Epoch 40, train loss: 0.0090, val loss: 0.0592
Epoch 0, train loss: 0.0871, val loss: 0.4233
Epoch 10, train loss: 0.0238, val loss: 0.1299
Epoch 20, train loss: 0.0158, val loss: 0.0275
Epoch 30, train loss: 0.0087, val loss: 0.0607
Epoch 40, train loss: 0.0090, val loss: 0.0592
Inferred coeffs for Argentina: [3.7574751e+00 1.0000000e-06 2.0035567e+00 1.0000000e-06 1.2827355e+00]
Epoch 0, train loss: 0.0594, val loss: 0.0185
Epoch 10, train loss: 0.0058, val loss: 0.0179
Epoch 20, train loss: 0.0024, val loss: 0.0198
Epoch 30, train loss: 0.0012, val loss: 0.0201
Epoch 0, train loss: 0.0594, val loss: 0.0185
Epoch 10, train loss: 0.0058, val loss: 0.0179
Epoch 20, train loss: 0.0024, val loss: 0.0198
Epoch 30, train loss: 0.0012, val loss: 0.0201
Epoch 0, train loss: 0.0594, val loss: 0.2428
Epoch 10, train loss: 0.0041, val loss: 0.0354
Epoch 20, train loss: 0.0055, val loss: 0.0107
Epoch 30, train loss: 0.0005, val loss: 0.0083
Epoch 40, train loss: 0.0019, val loss: 0.0047
Epoch 0, train loss: 0.0594, val loss: 0.2428
Epoch 10, train loss: 0.0041, val loss: 0.0354
Epoch 20, train loss: 0.0055, val loss: 0.0107
Epoch 30, train loss: 0.0005, val loss: 0.0083
Epoch 40, train loss: 0.0019, val loss: 0.0047
Epoch 50, train loss: 0.0007, val loss: 0.0024
Epoch 60, train loss: 0.0005, val loss: 0.0019
Epoch 70, train loss: 0.0005, val loss: 0.0008
Epoch 80, train loss: 0.0005, val loss: 0.0008
Epoch 90, train loss: 0.0006, val loss: 0.0009
Inferred coeffs for Brazil: [3.7492855e+00 1.0000000e-06 1.9960792e+00 1.0000000e-06 1.2743804e+00]
Epoch 0, train loss: 0.3397, val loss: 1.2159
Epoch 10, train loss: 0.0814, val loss: 0.0340
Epoch 20, train loss: 0.0785, val loss: 0.1074
Epoch 30, train loss: 0.0794, val loss: 0.2677
Epoch 40, train loss: 0.0747, val loss: 0.1192
Epoch 0, train loss: 0.3397, val loss: 1.2159
Epoch 10, train loss: 0.0814, val loss: 0.0340
Epoch 20, train loss: 0.0785, val loss: 0.1074
Epoch 30, train loss: 0.0794, val loss: 0.2677
Epoch 40, train loss: 0.0747, val loss: 0.1192
Epoch 0, train loss: 0.3397, val loss: 1.4867
Epoch 10, train loss: 0.2767, val loss: 1.1922
Epoch 20, train loss: 0.2229, val loss: 0.9746
Epoch 30, train loss: 0.1762, val loss: 0.7978
Epoch 40, train loss: 0.1388, val loss: 0.6492
Epoch 0, train loss: 0.3397, val loss: 1.4867
Epoch 10, train loss: 0.2767, val loss: 1.1922
Epoch 20, train loss: 0.2229, val loss: 0.9746
Epoch 30, train loss: 0.1762, val loss: 0.7978
Epoch 40, train loss: 0.1388, val loss: 0.6492
Epoch 50, train loss: 0.1195, val loss: 0.5360
Epoch 60, train loss: 0.1055, val loss: 0.4470
Epoch 70, train loss: 0.0931, val loss: 0.3671
Epoch 80, train loss: 0.0814, val loss: 0.2913
Epoch 90, train loss: 0.0739, val loss: 0.2255
Inferred coeffs for Chile: [3.7633111e+00 1.0000000e-06 2.0787156e+00 1.0000000e-06 1.3522353e+00]
Epoch 0, train loss: 0.0864, val loss: 0.0801
Epoch 10, train loss: 0.0146, val loss: 0.0160
Epoch 20, train loss: 0.0078, val loss: 0.0590
Epoch 30, train loss: 0.0031, val loss: 0.0081
Epoch 40, train loss: 0.0036, val loss: 0.0351
Epoch 0, train loss: 0.0864, val loss: 0.0801
Epoch 10, train loss: 0.0146, val loss: 0.0160
Epoch 20, train loss: 0.0078, val loss: 0.0590
Epoch 30, train loss: 0.0031, val loss: 0.0081
Epoch 40, train loss: 0.0036, val loss: 0.0351
Epoch 50, train loss: 0.0027, val loss: 0.0240
Epoch 60, train loss: 0.0031, val loss: 0.0208
Epoch 70, train loss: 0.0026, val loss: 0.0184
Epoch 0, train loss: 0.0864, val loss: 0.3516
Epoch 10, train loss: 0.0235, val loss: 0.0564
Epoch 20, train loss: 0.0141, val loss: 0.0764
Epoch 30, train loss: 0.0044, val loss: 0.0050
Epoch 40, train loss: 0.0040, val loss: 0.0319
Epoch 0, train loss: 0.0864, val loss: 0.3516
Epoch 10, train loss: 0.0235, val loss: 0.0564
Epoch 20, train loss: 0.0141, val loss: 0.0764
Epoch 30, train loss: 0.0044, val loss: 0.0050
Epoch 40, train loss: 0.0040, val loss: 0.0319
Epoch 50, train loss: 0.0035, val loss: 0.0066
Inferred coeffs for Ecuador: [3.5551722e+00 1.0000000e-06 2.0002487e+00 1.0000000e-06 1.2626473e+00]
Epoch 0, train loss: 0.0838, val loss: 0.0818
Epoch 10, train loss: 0.0128, val loss: 0.0092
Epoch 20, train loss: 0.0049, val loss: 0.0076
Epoch 30, train loss: 0.0017, val loss: 0.0011
Epoch 40, train loss: 0.0022, val loss: 0.0052
Epoch 0, train loss: 0.0838, val loss: 0.0818
Epoch 10, train loss: 0.0128, val loss: 0.0092
Epoch 20, train loss: 0.0049, val loss: 0.0076
Epoch 30, train loss: 0.0017, val loss: 0.0011
Epoch 40, train loss: 0.0022, val loss: 0.0052
Epoch 50, train loss: 0.0024, val loss: 0.0060
Epoch 0, train loss: 0.0838, val loss: 0.3517
Epoch 10, train loss: 0.0206, val loss: 0.0581
Epoch 20, train loss: 0.0143, val loss: 0.0615
Epoch 30, train loss: 0.0058, val loss: 0.0240
Epoch 40, train loss: 0.0041, val loss: 0.0193
Epoch 0, train loss: 0.0838, val loss: 0.3517
Epoch 10, train loss: 0.0206, val loss: 0.0581
Epoch 20, train loss: 0.0143, val loss: 0.0615
Epoch 30, train loss: 0.0058, val loss: 0.0240
Epoch 40, train loss: 0.0041, val loss: 0.0193
Epoch 50, train loss: 0.0022, val loss: 0.0012
Epoch 60, train loss: 0.0021, val loss: 0.0014
Inferred coeffs for Peru: [3.7491035e+00 1.0000000e-06 2.0001051e+00 1.0000000e-06 1.2784526e+00]
Epoch 0, train loss: 0.0596, val loss: 0.0883
Epoch 10, train loss: 0.0062, val loss: 0.0905
Epoch 20, train loss: 0.0145, val loss: 0.0819
Epoch 30, train loss: 0.0041, val loss: 0.1176
Epoch 0, train loss: 0.0596, val loss: 0.0883
Epoch 10, train loss: 0.0062, val loss: 0.0905
Epoch 20, train loss: 0.0145, val loss: 0.0819
Epoch 30, train loss: 0.0041, val loss: 0.1176
Epoch 0, train loss: 0.0596, val loss: 0.3533
Epoch 10, train loss: 0.0074, val loss: 0.0798
Epoch 20, train loss: 0.0082, val loss: 0.1004
Epoch 30, train loss: 0.0039, val loss: 0.1121
Epoch 40, train loss: 0.0050, val loss: 0.1310
Epoch 0, train loss: 0.0596, val loss: 0.3533
Epoch 10, train loss: 0.0074, val loss: 0.0798
Epoch 20, train loss: 0.0082, val loss: 0.1004
Epoch 30, train loss: 0.0039, val loss: 0.1121
Epoch 40, train loss: 0.0050, val loss: 0.1310
Inferred coeffs for Thailand: [3.7550850e+00 1.0000000e-06 1.9990658e+00 1.0000000e-06 1.2775247e+00]
Epoch 0, train loss: 0.0648, val loss: 0.0126
Epoch 10, train loss: 0.0455, val loss: 0.1891
Epoch 20, train loss: 0.0051, val loss: 0.0664
Epoch 30, train loss: 0.0059, val loss: 0.0593
Epoch 0, train loss: 0.0648, val loss: 0.0126
Epoch 10, train loss: 0.0455, val loss: 0.1891
Epoch 20, train loss: 0.0051, val loss: 0.0664
Epoch 30, train loss: 0.0059, val loss: 0.0593
Epoch 0, train loss: 0.0648, val loss: 0.2787
Epoch 10, train loss: 0.0013, val loss: 0.0111
Epoch 20, train loss: 0.0096, val loss: 0.0221
Epoch 30, train loss: 0.0055, val loss: 0.0251
Epoch 40, train loss: 0.0009, val loss: 0.0133
Epoch 0, train loss: 0.0648, val loss: 0.2787
Epoch 10, train loss: 0.0013, val loss: 0.0111
Epoch 20, train loss: 0.0096, val loss: 0.0221
Epoch 30, train loss: 0.0055, val loss: 0.0251
Epoch 40, train loss: 0.0009, val loss: 0.0133
Epoch 50, train loss: 0.0016, val loss: 0.0059
Epoch 60, train loss: 0.0006, val loss: 0.0103
Inferred coeffs for Malaysia: [3.7509823e+00 1.0000000e-06 1.9973673e+00 1.0000000e-06 1.2757380e+00]
Epoch 0, train loss: 0.1596, val loss: 0.4857
Epoch 10, train loss: 0.0322, val loss: 0.1088
Epoch 20, train loss: 0.0345, val loss: 0.0264
Epoch 30, train loss: 0.0365, val loss: 0.0931
Epoch 40, train loss: 0.0324, val loss: 0.0548
Epoch 0, train loss: 0.1596, val loss: 0.4857
Epoch 10, train loss: 0.0322, val loss: 0.1088
Epoch 20, train loss: 0.0345, val loss: 0.0264
Epoch 30, train loss: 0.0365, val loss: 0.0931
Epoch 40, train loss: 0.0324, val loss: 0.0548
Epoch 50, train loss: 0.0320, val loss: 0.0367
Epoch 60, train loss: 0.0320, val loss: 0.0358
Epoch 0, train loss: 0.1596, val loss: 0.7542
Epoch 10, train loss: 0.0960, val loss: 0.4619
Epoch 20, train loss: 0.0570, val loss: 0.2540
Epoch 30, train loss: 0.0380, val loss: 0.1071
Epoch 40, train loss: 0.0314, val loss: 0.0097
Epoch 0, train loss: 0.1596, val loss: 0.7542
Epoch 10, train loss: 0.0960, val loss: 0.4619
Epoch 20, train loss: 0.0570, val loss: 0.2540
Epoch 30, train loss: 0.0380, val loss: 0.1071
Epoch 40, train loss: 0.0314, val loss: 0.0097
Epoch 50, train loss: 0.0324, val loss: 0.0040
Epoch 60, train loss: 0.0315, val loss: 0.0344
Epoch 70, train loss: 0.0315, val loss: 0.0317
Inferred coeffs for Australia: [3.7736661e+00 1.0000000e-06 2.0199091e+00 1.0000000e-06 1.3013216e+00]
Epoch 0, train loss: 0.0443, val loss: 0.0529
Epoch 10, train loss: 0.0106, val loss: 0.0954
Epoch 20, train loss: 0.0061, val loss: 0.0502
Epoch 30, train loss: 0.0055, val loss: 0.0179
Epoch 0, train loss: 0.0443, val loss: 0.0529
Epoch 10, train loss: 0.0106, val loss: 0.0954
Epoch 20, train loss: 0.0061, val loss: 0.0502
Epoch 30, train loss: 0.0055, val loss: 0.0179
Epoch 0, train loss: 0.0443, val loss: 0.2147
Epoch 10, train loss: 0.0126, val loss: 0.0063
Epoch 20, train loss: 0.0073, val loss: 0.0757
Epoch 30, train loss: 0.0057, val loss: 0.0275
Epoch 40, train loss: 0.0050, val loss: 0.0580
Epoch 0, train loss: 0.0443, val loss: 0.2147
Epoch 10, train loss: 0.0126, val loss: 0.0063
Epoch 20, train loss: 0.0073, val loss: 0.0757
Epoch 30, train loss: 0.0057, val loss: 0.0275
Epoch 40, train loss: 0.0050, val loss: 0.0580
Inferred coeffs for China: [3.7623901e+00 1.0000000e-06 1.9949520e+00 1.0000000e-06 1.2739086e+00]
Epoch 0, train loss: 0.5499, val loss: 0.0578
Epoch 10, train loss: 0.2851, val loss: 0.9630
Epoch 20, train loss: 0.2257, val loss: 0.5382
Epoch 30, train loss: 0.3932, val loss: 0.1004
Epoch 40, train loss: 0.2350, val loss: 0.4973
Epoch 0, train loss: 0.5499, val loss: 0.0578
Epoch 10, train loss: 0.2851, val loss: 0.9630
Epoch 20, train loss: 0.2257, val loss: 0.5382
Epoch 30, train loss: 0.3932, val loss: 0.1004
Epoch 40, train loss: 0.2350, val loss: 0.4973
Epoch 50, train loss: 0.2427, val loss: 0.8437
Epoch 60, train loss: 0.4484, val loss: 1.4154
Epoch 0, train loss: 0.5499, val loss: 0.5659
Epoch 10, train loss: 0.3828, val loss: 0.0260
Epoch 20, train loss: 0.2795, val loss: 0.2481
Epoch 30, train loss: 0.2439, val loss: 0.4284
Epoch 40, train loss: 0.2324, val loss: 0.5395
Epoch 0, train loss: 0.5499, val loss: 0.5659
Epoch 10, train loss: 0.3828, val loss: 0.0260
Epoch 20, train loss: 0.2795, val loss: 0.2481
Epoch 30, train loss: 0.2439, val loss: 0.4284
Epoch 40, train loss: 0.2324, val loss: 0.5395
Inferred coeffs for United States: [3.6948464e+00 1.0000000e-06 2.0039895e+00 1.0000000e-06 1.2679840e+00]