
Epoch 0, train loss: 0.0486, val loss: 0.2578
Epoch 10, train loss: 0.0213, val loss: 0.0522
Epoch 20, train loss: 0.0114, val loss: 0.0658
Epoch 30, train loss: 0.0062, val loss: 0.0536
Epoch 40, train loss: 0.0064, val loss: 0.0487
Epoch 0, train loss: 0.0486, val loss: 0.2578
Epoch 10, train loss: 0.0213, val loss: 0.0522
Epoch 20, train loss: 0.0114, val loss: 0.0658
Epoch 30, train loss: 0.0062, val loss: 0.0536
Epoch 40, train loss: 0.0064, val loss: 0.0487
Epoch 50, train loss: 0.0063, val loss: 0.0444
Epoch 0, train loss: 0.0486, val loss: 0.0922
Epoch 10, train loss: 0.0143, val loss: 0.0711
Epoch 20, train loss: 0.0066, val loss: 0.0367
Epoch 30, train loss: 0.0064, val loss: 0.0240
Epoch 40, train loss: 0.0069, val loss: 0.0405
Epoch 0, train loss: 0.0486, val loss: 0.0922
Epoch 10, train loss: 0.0143, val loss: 0.0711
Epoch 20, train loss: 0.0066, val loss: 0.0367
Epoch 30, train loss: 0.0064, val loss: 0.0240
Epoch 40, train loss: 0.0069, val loss: 0.0405
Inferred coeffs for Canada: [ 1.0883077e+00  1.1979795e+00  7.9281354e-01  5.5302215e-01
  9.4249648e-01  1.2909504e+00 -2.8964684e+00 -5.8488816e-01
  1.8364759e-01  8.3484173e-02 -1.3645368e+00 -7.7669783e-03
  4.2672800e-03 -4.6266532e+00  2.4608350e+00 -2.5193246e-02
 -1.3894750e+00  9.1851956e-01]
Epoch 0, train loss: 0.2666, val loss: 0.2457
Epoch 10, train loss: 0.1208, val loss: 0.2397
Epoch 20, train loss: 0.1027, val loss: 0.6715
Epoch 30, train loss: 0.0923, val loss: 0.6258
Epoch 40, train loss: 0.0897, val loss: 0.4702
Epoch 0, train loss: 0.2666, val loss: 0.2457
Epoch 10, train loss: 0.1208, val loss: 0.2397
Epoch 20, train loss: 0.1027, val loss: 0.6715
Epoch 30, train loss: 0.0923, val loss: 0.6258
Epoch 40, train loss: 0.0897, val loss: 0.4702
Epoch 0, train loss: 0.2666, val loss: 0.3022
Epoch 10, train loss: 0.1303, val loss: 0.3045
Epoch 20, train loss: 0.1035, val loss: 0.6832
Epoch 30, train loss: 0.1077, val loss: 0.7412
Epoch 0, train loss: 0.2666, val loss: 0.3022
Epoch 10, train loss: 0.1303, val loss: 0.3045
Epoch 20, train loss: 0.1035, val loss: 0.6832
Epoch 30, train loss: 0.1077, val loss: 0.7412
Inferred coeffs for Hong Kong: [ 1.0906795e+00  1.2046536e+00  7.9202199e-01  5.6779808e-01
  9.4361579e-01  1.2927761e+00 -2.9004645e+00 -5.9319413e-01
  1.8311685e-01  8.1173576e-02 -1.3592808e+00 -5.4253084e-03
  1.9241086e-03 -4.6138515e+00  2.4865768e+00 -2.4005122e-02
 -1.4254317e+00  8.6173123e-01]
Epoch 0, train loss: 0.0502, val loss: 0.3149
Epoch 10, train loss: 0.0496, val loss: 0.1899
Epoch 20, train loss: 0.0205, val loss: 0.0557
Epoch 30, train loss: 0.0122, val loss: 0.0767
Epoch 40, train loss: 0.0119, val loss: 0.0304
Epoch 0, train loss: 0.0502, val loss: 0.3149
Epoch 10, train loss: 0.0496, val loss: 0.1899
Epoch 20, train loss: 0.0205, val loss: 0.0557
Epoch 30, train loss: 0.0122, val loss: 0.0767
Epoch 40, train loss: 0.0119, val loss: 0.0304
Epoch 50, train loss: 0.0118, val loss: 0.0196
Epoch 0, train loss: 0.0502, val loss: 0.0650
Epoch 10, train loss: 0.0196, val loss: 0.1010
Epoch 20, train loss: 0.0130, val loss: 0.0430
Epoch 30, train loss: 0.0116, val loss: 0.0442
Epoch 0, train loss: 0.0502, val loss: 0.0650
Epoch 10, train loss: 0.0196, val loss: 0.1010
Epoch 20, train loss: 0.0130, val loss: 0.0430
Epoch 30, train loss: 0.0116, val loss: 0.0442
Inferred coeffs for Singapore: [ 1.0874026   1.1961828   0.7926906   0.54925424  0.9420983   1.2905803
 -2.8958068  -0.5827517   0.18389906  0.08395981 -1.3658093  -0.00867113
  0.0051711  -4.666919    2.4111779  -0.02459113 -1.3794285   0.92064375]
Epoch 0, train loss: 0.9564, val loss: 1.4311
Epoch 10, train loss: 0.4485, val loss: 0.6692
Epoch 20, train loss: 0.1546, val loss: 0.2361
Epoch 30, train loss: 0.0905, val loss: 0.0791
Epoch 40, train loss: 0.0860, val loss: 0.0071
Epoch 0, train loss: 0.9564, val loss: 1.4311
Epoch 10, train loss: 0.4485, val loss: 0.6692
Epoch 20, train loss: 0.1546, val loss: 0.2361
Epoch 30, train loss: 0.0905, val loss: 0.0791
Epoch 40, train loss: 0.0860, val loss: 0.0071
Epoch 50, train loss: 0.0715, val loss: 0.1075
Epoch 0, train loss: 0.9564, val loss: 1.5003
Epoch 10, train loss: 0.9138, val loss: 1.4237
Epoch 20, train loss: 0.8697, val loss: 1.3505
Epoch 30, train loss: 0.8238, val loss: 1.2805
Epoch 40, train loss: 0.7755, val loss: 1.2136
Epoch 0, train loss: 0.9564, val loss: 1.5003
Epoch 10, train loss: 0.9138, val loss: 1.4237
Epoch 20, train loss: 0.8697, val loss: 1.3505
Epoch 30, train loss: 0.8238, val loss: 1.2805
Epoch 40, train loss: 0.7755, val loss: 1.2136
Epoch 50, train loss: 0.7240, val loss: 1.1488
Epoch 60, train loss: 0.6688, val loss: 1.0842
Epoch 70, train loss: 0.6093, val loss: 1.0162
Epoch 80, train loss: 0.5433, val loss: 0.9379
Epoch 90, train loss: 0.4702, val loss: 0.8386
Inferred coeffs for China: [ 0.9292405   1.0342003   0.63966393  0.3542195   0.79332554  1.4338771
 -2.7034888  -0.4311562   0.288682    0.22944288 -1.5043448  -0.16686401
  0.16326594 -4.8086076   2.2972336   0.13720527 -1.4705713   0.9184763 ]