
Epoch 0, train loss: 0.0365, val loss: 0.0272
Epoch 10, train loss: 0.0103, val loss: 0.0160
Epoch 20, train loss: 0.0072, val loss: 0.0136
Epoch 30, train loss: 0.0062, val loss: 0.0200
Epoch 0, train loss: 0.0365, val loss: 0.0272
Epoch 10, train loss: 0.0103, val loss: 0.0160
Epoch 20, train loss: 0.0072, val loss: 0.0136
Epoch 30, train loss: 0.0062, val loss: 0.0200
Epoch 0, train loss: 0.0365, val loss: 0.0805
Epoch 10, train loss: 0.0191, val loss: 0.0216
Epoch 20, train loss: 0.0062, val loss: 0.0340
Epoch 30, train loss: 0.0080, val loss: 0.0515
Epoch 40, train loss: 0.0067, val loss: 0.0367
Epoch 0, train loss: 0.0365, val loss: 0.0805
Epoch 10, train loss: 0.0191, val loss: 0.0216
Epoch 20, train loss: 0.0062, val loss: 0.0340
Epoch 30, train loss: 0.0080, val loss: 0.0515
Epoch 40, train loss: 0.0067, val loss: 0.0367
Inferred coeffs for Canada: [2.4792697  2.4533448  0.00705327]
Epoch 0, train loss: 0.2741, val loss: 0.3835
Epoch 10, train loss: 0.0944, val loss: 0.2413
Epoch 20, train loss: 0.0736, val loss: 0.6247
Epoch 30, train loss: 0.0710, val loss: 0.5630
Epoch 0, train loss: 0.2741, val loss: 0.3835
Epoch 10, train loss: 0.0944, val loss: 0.2413
Epoch 20, train loss: 0.0736, val loss: 0.6247
Epoch 30, train loss: 0.0710, val loss: 0.5630
Epoch 0, train loss: 0.2741, val loss: 0.4418
Epoch 10, train loss: 0.2551, val loss: 0.3771
Epoch 20, train loss: 0.2363, val loss: 0.3128
Epoch 30, train loss: 0.2176, val loss: 0.2490
Epoch 40, train loss: 0.1991, val loss: 0.1857
Epoch 0, train loss: 0.2741, val loss: 0.4418
Epoch 10, train loss: 0.2551, val loss: 0.3771
Epoch 20, train loss: 0.2363, val loss: 0.3128
Epoch 30, train loss: 0.2176, val loss: 0.2490
Epoch 40, train loss: 0.1991, val loss: 0.1857
Epoch 50, train loss: 0.1807, val loss: 0.1228
Epoch 60, train loss: 0.1624, val loss: 0.0604
Epoch 70, train loss: 0.1443, val loss: 0.0402
Epoch 80, train loss: 0.1263, val loss: 0.0645
Epoch 90, train loss: 0.1090, val loss: 0.1243
Inferred coeffs for Hong Kong: [2.533733   2.400035   0.06545879]
Epoch 0, train loss: 0.0378, val loss: 0.0048
Epoch 10, train loss: 0.0155, val loss: 0.0176
Epoch 20, train loss: 0.0114, val loss: 0.0293
Epoch 30, train loss: 0.0105, val loss: 0.0383
Epoch 0, train loss: 0.0378, val loss: 0.0048
Epoch 10, train loss: 0.0155, val loss: 0.0176
Epoch 20, train loss: 0.0114, val loss: 0.0293
Epoch 30, train loss: 0.0105, val loss: 0.0383
Epoch 0, train loss: 0.0378, val loss: 0.0537
Epoch 10, train loss: 0.0193, val loss: 0.0078
Epoch 20, train loss: 0.0110, val loss: 0.0602
Epoch 30, train loss: 0.0122, val loss: 0.0658
Epoch 0, train loss: 0.0378, val loss: 0.0537
Epoch 10, train loss: 0.0193, val loss: 0.0078
Epoch 20, train loss: 0.0110, val loss: 0.0602
Epoch 30, train loss: 0.0122, val loss: 0.0658
Inferred coeffs for Singapore: [2.4748776  2.4582102  0.00602729]
Epoch 0, train loss: 0.5145, val loss: 1.4430
Epoch 10, train loss: 0.4003, val loss: 1.1181
Epoch 20, train loss: 0.2804, val loss: 0.7497
Epoch 30, train loss: 0.1563, val loss: 0.3270
Epoch 40, train loss: 0.0713, val loss: 0.1245
Epoch 0, train loss: 0.5145, val loss: 1.4430
Epoch 10, train loss: 0.4003, val loss: 1.1181
Epoch 20, train loss: 0.2804, val loss: 0.7497
Epoch 30, train loss: 0.1563, val loss: 0.3270
Epoch 40, train loss: 0.0713, val loss: 0.1245
Epoch 50, train loss: 0.0846, val loss: 0.2080
Epoch 60, train loss: 0.0694, val loss: 0.0439
Epoch 70, train loss: 0.0708, val loss: 0.0338
Epoch 80, train loss: 0.0691, val loss: 0.0497
Epoch 90, train loss: 0.0684, val loss: 0.0366
Epoch 0, train loss: 0.5145, val loss: 1.4704
Epoch 10, train loss: 0.5034, val loss: 1.4399
Epoch 20, train loss: 0.4922, val loss: 1.4091
Epoch 30, train loss: 0.4809, val loss: 1.3779
Epoch 40, train loss: 0.4695, val loss: 1.3463
Epoch 0, train loss: 0.5145, val loss: 1.4704
Epoch 10, train loss: 0.5034, val loss: 1.4399
Epoch 20, train loss: 0.4922, val loss: 1.4091
Epoch 30, train loss: 0.4809, val loss: 1.3779
Epoch 40, train loss: 0.4695, val loss: 1.3463
Epoch 50, train loss: 0.4580, val loss: 1.3143
Epoch 60, train loss: 0.4463, val loss: 1.2819
Epoch 70, train loss: 0.4345, val loss: 1.2491
Epoch 80, train loss: 0.4229, val loss: 1.2159
Epoch 90, train loss: 0.4112, val loss: 1.1824
Inferred coeffs for China: [ 2.083377    2.866632   -0.38241723]