
Epoch 0, train loss: 0.1119, val loss: 0.1422
Epoch 10, train loss: 0.0293, val loss: 0.0209
Epoch 20, train loss: 0.0157, val loss: 0.0098
Epoch 30, train loss: 0.0120, val loss: 0.0250
Epoch 40, train loss: 0.0085, val loss: 0.0547
Epoch 0, train loss: 0.1119, val loss: 0.1422
Epoch 10, train loss: 0.0293, val loss: 0.0209
Epoch 20, train loss: 0.0157, val loss: 0.0098
Epoch 30, train loss: 0.0120, val loss: 0.0250
Epoch 40, train loss: 0.0085, val loss: 0.0547
Epoch 0, train loss: 0.1119, val loss: 0.4167
Epoch 10, train loss: 0.0489, val loss: 0.1184
Epoch 20, train loss: 0.0104, val loss: 0.0877
Epoch 30, train loss: 0.0161, val loss: 0.1149
Epoch 40, train loss: 0.0090, val loss: 0.0428
Epoch 0, train loss: 0.1119, val loss: 0.4167
Epoch 10, train loss: 0.0489, val loss: 0.1184
Epoch 20, train loss: 0.0104, val loss: 0.0877
Epoch 30, train loss: 0.0161, val loss: 0.1149
Epoch 40, train loss: 0.0090, val loss: 0.0428
Inferred coeffs for Canada: [3.6357148e+00 1.0000000e-06 2.0030017e+00 1.0000000e-06 1.2683235e+00]
Epoch 0, train loss: 0.1605, val loss: 0.2170
Epoch 10, train loss: 0.0990, val loss: 0.6779
Epoch 20, train loss: 0.0908, val loss: 0.4463
Epoch 30, train loss: 0.0864, val loss: 0.5697
Epoch 0, train loss: 0.1605, val loss: 0.2170
Epoch 10, train loss: 0.0990, val loss: 0.6779
Epoch 20, train loss: 0.0908, val loss: 0.4463
Epoch 30, train loss: 0.0864, val loss: 0.5697
Epoch 0, train loss: 0.1605, val loss: 0.0689
Epoch 10, train loss: 0.1203, val loss: 0.2305
Epoch 20, train loss: 0.0998, val loss: 0.3817
Epoch 30, train loss: 0.0933, val loss: 0.4903
Epoch 0, train loss: 0.1605, val loss: 0.0689
Epoch 10, train loss: 0.1203, val loss: 0.2305
Epoch 20, train loss: 0.0998, val loss: 0.3817
Epoch 30, train loss: 0.0933, val loss: 0.4903
Inferred coeffs for Hong Kong: [3.7726758e+00 1.0000000e-06 1.9877663e+00 1.0000000e-06 1.2667967e+00]
Epoch 0, train loss: 0.0759, val loss: 0.0355
Epoch 10, train loss: 0.0307, val loss: 0.0393
Epoch 20, train loss: 0.0221, val loss: 0.0406
Epoch 30, train loss: 0.0180, val loss: 0.0535
Epoch 40, train loss: 0.0160, val loss: 0.0676
Epoch 0, train loss: 0.0759, val loss: 0.0355
Epoch 10, train loss: 0.0307, val loss: 0.0393
Epoch 20, train loss: 0.0221, val loss: 0.0406
Epoch 30, train loss: 0.0180, val loss: 0.0535
Epoch 40, train loss: 0.0160, val loss: 0.0676
Epoch 0, train loss: 0.0759, val loss: 0.1863
Epoch 10, train loss: 0.0190, val loss: 0.0562
Epoch 20, train loss: 0.0224, val loss: 0.1387
Epoch 30, train loss: 0.0163, val loss: 0.0705
Epoch 0, train loss: 0.0759, val loss: 0.1863
Epoch 10, train loss: 0.0190, val loss: 0.0562
Epoch 20, train loss: 0.0224, val loss: 0.1387
Epoch 30, train loss: 0.0163, val loss: 0.0705
Inferred coeffs for Singapore: [3.7652965e+00 1.0000000e-06 1.9947432e+00 1.0000000e-06 1.2737973e+00]
Epoch 0, train loss: 0.9061, val loss: 1.7636
Epoch 10, train loss: 0.7639, val loss: 1.4139
Epoch 20, train loss: 0.5904, val loss: 1.0049
Epoch 30, train loss: 0.3117, val loss: 0.4104
Epoch 40, train loss: 0.1608, val loss: 0.5302
Epoch 0, train loss: 0.9061, val loss: 1.7636
Epoch 10, train loss: 0.7639, val loss: 1.4139
Epoch 20, train loss: 0.5904, val loss: 1.0049
Epoch 30, train loss: 0.3117, val loss: 0.4104
Epoch 40, train loss: 0.1608, val loss: 0.5302
Epoch 50, train loss: 0.0753, val loss: 0.0459
Epoch 60, train loss: 0.0633, val loss: 0.1813
Epoch 70, train loss: 0.0665, val loss: 0.1139
Epoch 80, train loss: 0.0843, val loss: 0.0435
Epoch 0, train loss: 0.9061, val loss: 1.7968
Epoch 10, train loss: 0.8911, val loss: 1.7592
Epoch 20, train loss: 0.8760, val loss: 1.7219
Epoch 30, train loss: 0.8617, val loss: 1.6862
Epoch 40, train loss: 0.8478, val loss: 1.6517
Epoch 0, train loss: 0.9061, val loss: 1.7968
Epoch 10, train loss: 0.8911, val loss: 1.7592
Epoch 20, train loss: 0.8760, val loss: 1.7219
Epoch 30, train loss: 0.8617, val loss: 1.6862
Epoch 40, train loss: 0.8478, val loss: 1.6517
Epoch 50, train loss: 0.8339, val loss: 1.6173
Epoch 60, train loss: 0.8199, val loss: 1.5827
Epoch 70, train loss: 0.8059, val loss: 1.5482
Epoch 80, train loss: 0.7919, val loss: 1.5139
Epoch 90, train loss: 0.7779, val loss: 1.4795
Inferred coeffs for China: [3.3759704e+00 1.0000000e-06 1.6154516e+00 1.0000000e-06 1.2633966e+00]