
Epoch 0, train loss: 0.0696, val loss: 0.0439
Epoch 10, train loss: 0.0160, val loss: 0.0459
Epoch 20, train loss: 0.0113, val loss: 0.0427
Epoch 30, train loss: 0.0088, val loss: 0.0470
Epoch 0, train loss: 0.0696, val loss: 0.0439
Epoch 10, train loss: 0.0160, val loss: 0.0459
Epoch 20, train loss: 0.0113, val loss: 0.0427
Epoch 30, train loss: 0.0088, val loss: 0.0470
Epoch 0, train loss: 0.0696, val loss: 0.1971
Epoch 10, train loss: 0.0262, val loss: 0.0268
Epoch 20, train loss: 0.0128, val loss: 0.1018
Epoch 30, train loss: 0.0116, val loss: 0.0806
Epoch 40, train loss: 0.0097, val loss: 0.0262
Epoch 0, train loss: 0.0696, val loss: 0.1971
Epoch 10, train loss: 0.0262, val loss: 0.0268
Epoch 20, train loss: 0.0128, val loss: 0.1018
Epoch 30, train loss: 0.0116, val loss: 0.0806
Epoch 40, train loss: 0.0097, val loss: 0.0262
Inferred coeffs for Canada: [3.3204114 1.010336  0.9867709]
Epoch 0, train loss: 0.3925, val loss: 0.6149
Epoch 10, train loss: 0.0857, val loss: 0.5704
Epoch 20, train loss: 0.1063, val loss: 0.6326
Epoch 30, train loss: 0.0796, val loss: 0.3647
Epoch 0, train loss: 0.3925, val loss: 0.6149
Epoch 10, train loss: 0.0857, val loss: 0.5704
Epoch 20, train loss: 0.1063, val loss: 0.6326
Epoch 30, train loss: 0.0796, val loss: 0.3647
Epoch 0, train loss: 0.3925, val loss: 0.7815
Epoch 10, train loss: 0.3447, val loss: 0.5966
Epoch 20, train loss: 0.2973, val loss: 0.4186
Epoch 30, train loss: 0.2507, val loss: 0.2526
Epoch 40, train loss: 0.2055, val loss: 0.1009
Epoch 0, train loss: 0.3925, val loss: 0.7815
Epoch 10, train loss: 0.3447, val loss: 0.5966
Epoch 20, train loss: 0.2973, val loss: 0.4186
Epoch 30, train loss: 0.2507, val loss: 0.2526
Epoch 40, train loss: 0.2055, val loss: 0.1009
Epoch 50, train loss: 0.1620, val loss: 0.0488
Epoch 60, train loss: 0.1232, val loss: 0.1580
Epoch 70, train loss: 0.1012, val loss: 0.2532
Inferred coeffs for Hong Kong: [3.4368925 1.0441102 0.9535877]
Epoch 0, train loss: 0.1248, val loss: 0.2041
Epoch 10, train loss: 0.0191, val loss: 0.0098
Epoch 20, train loss: 0.0213, val loss: 0.1053
Epoch 30, train loss: 0.0195, val loss: 0.1192
Epoch 40, train loss: 0.0167, val loss: 0.1078
Epoch 0, train loss: 0.1248, val loss: 0.2041
Epoch 10, train loss: 0.0191, val loss: 0.0098
Epoch 20, train loss: 0.0213, val loss: 0.1053
Epoch 30, train loss: 0.0195, val loss: 0.1192
Epoch 40, train loss: 0.0167, val loss: 0.1078
Epoch 0, train loss: 0.1248, val loss: 0.3599
Epoch 10, train loss: 0.0802, val loss: 0.1867
Epoch 20, train loss: 0.0356, val loss: 0.0114
Epoch 30, train loss: 0.0189, val loss: 0.1300
Epoch 40, train loss: 0.0199, val loss: 0.1241
Epoch 0, train loss: 0.1248, val loss: 0.3599
Epoch 10, train loss: 0.0802, val loss: 0.1867
Epoch 20, train loss: 0.0356, val loss: 0.0114
Epoch 30, train loss: 0.0189, val loss: 0.1300
Epoch 40, train loss: 0.0199, val loss: 0.1241
Epoch 50, train loss: 0.0170, val loss: 0.0682
Inferred coeffs for Singapore: [3.381522  1.0196168 0.9779975]
Epoch 0, train loss: 1.0175, val loss: 2.0153
Epoch 10, train loss: 0.8395, val loss: 1.2278
Epoch 20, train loss: 0.7622, val loss: 0.9986
Epoch 30, train loss: 0.7021, val loss: 0.8572
Epoch 40, train loss: 0.6425, val loss: 0.7356
Epoch 0, train loss: 1.0175, val loss: 2.0153
Epoch 10, train loss: 0.8395, val loss: 1.2278
Epoch 20, train loss: 0.7622, val loss: 0.9986
Epoch 30, train loss: 0.7021, val loss: 0.8572
Epoch 40, train loss: 0.6425, val loss: 0.7356
Epoch 50, train loss: 0.5788, val loss: 0.6171
Epoch 60, train loss: 0.5080, val loss: 0.4947
Epoch 70, train loss: 0.4259, val loss: 0.3631
Epoch 80, train loss: 0.3240, val loss: 0.2069
Epoch 90, train loss: 0.1856, val loss: 0.0485
Epoch 0, train loss: 1.0175, val loss: 2.1817
Epoch 10, train loss: 0.9892, val loss: 1.9995
Epoch 20, train loss: 0.9644, val loss: 1.8517
Epoch 30, train loss: 0.9430, val loss: 1.7332
Epoch 40, train loss: 0.9245, val loss: 1.6379
Epoch 0, train loss: 1.0175, val loss: 2.1817
Epoch 10, train loss: 0.9892, val loss: 1.9995
Epoch 20, train loss: 0.9644, val loss: 1.8517
Epoch 30, train loss: 0.9430, val loss: 1.7332
Epoch 40, train loss: 0.9245, val loss: 1.6379
Epoch 50, train loss: 0.9083, val loss: 1.5604
Epoch 60, train loss: 0.8940, val loss: 1.4961
Epoch 70, train loss: 0.8813, val loss: 1.4419
Epoch 80, train loss: 0.8697, val loss: 1.3953
Epoch 90, train loss: 0.8590, val loss: 1.3546
Inferred coeffs for China: [2.4963992  0.8833205  0.20724958]