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output.38930185
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Set the default float type to float64
add Fourier feature transform to input transform
add output transform with [-3.1709792e-04 -3.1709792e-04 -3.1709792e-04 -3.1709792e-04
-1.0000000e+03 1.0000000e+01 1.0000000e-02] and [3.1709792e-04 3.1709792e-04 3.1709792e-04 3.1709792e-04 3.6000000e+03
3.5000000e+03 1.0000000e+04]
Compiling model...
'compile' took 0.006529 s
Training model...
Step Train loss Test loss Test metric
0 [5.83e+02, 3.87e+02, 2.80e+02, 2.50e+02, 6.03e+02, 2.16e+03, 6.96e+00, 1.94e+00, 5.83e-02] [5.83e+02, 3.87e+02, 2.80e+02, 2.50e+02, 6.03e+02, 2.16e+03, 6.96e+00, 1.94e+00, 5.83e-02] []
10000 [1.95e-03, 2.43e-03, 2.03e-03, 2.54e-03, 1.63e-03, 4.93e-03, 2.75e-03, 5.33e-02, 7.43e-03] [1.95e-03, 2.43e-03, 2.03e-03, 2.54e-03, 1.63e-03, 4.93e-03, 2.75e-03, 5.33e-02, 7.43e-03] []
20000 [3.91e-03, 1.89e-03, 9.42e-03, 1.11e-02, 5.14e-03, 2.18e-02, 8.56e-04, 2.14e-02, 3.85e-03] [3.91e-03, 1.89e-03, 9.42e-03, 1.11e-02, 5.14e-03, 2.18e-02, 8.56e-04, 2.14e-02, 3.85e-03] []
30000 [5.30e-04, 5.87e-04, 1.59e-03, 6.81e-04, 2.88e-03, 1.03e-03, 8.33e-04, 1.76e-02, 1.98e-03] [5.30e-04, 5.87e-04, 1.59e-03, 6.81e-04, 2.88e-03, 1.03e-03, 8.33e-04, 1.76e-02, 1.98e-03] []
40000 [1.02e-03, 7.38e-04, 2.22e-03, 7.59e-04, 1.65e-03, 4.02e-04, 7.74e-04, 1.63e-02, 1.19e-03] [1.02e-03, 7.38e-04, 2.22e-03, 7.59e-04, 1.65e-03, 4.02e-04, 7.74e-04, 1.63e-02, 1.19e-03] []
50000 [9.52e-04, 5.24e-04, 2.48e-03, 5.09e-04, 2.50e-03, 5.70e-04, 7.16e-04, 1.49e-02, 7.98e-04] [9.52e-04, 5.24e-04, 2.48e-03, 5.09e-04, 2.50e-03, 5.70e-04, 7.16e-04, 1.49e-02, 7.98e-04] []
60000 [5.06e-04, 4.40e-04, 8.08e-04, 3.31e-04, 9.21e-04, 2.84e-04, 6.74e-04, 1.36e-02, 6.38e-04] [5.06e-04, 4.40e-04, 8.08e-04, 3.31e-04, 9.21e-04, 2.84e-04, 6.74e-04, 1.36e-02, 6.38e-04] []
70000 [5.22e-04, 1.34e-03, 5.04e-04, 9.24e-03, 5.14e-04, 1.25e-02, 6.40e-04, 1.34e-02, 4.95e-04] [5.22e-04, 1.34e-03, 5.04e-04, 9.24e-03, 5.14e-04, 1.25e-02, 6.40e-04, 1.34e-02, 4.95e-04] []
80000 [3.30e-04, 4.50e-04, 4.68e-04, 1.25e-03, 6.53e-04, 1.30e-03, 5.93e-04, 1.27e-02, 4.46e-04] [3.30e-04, 4.50e-04, 4.68e-04, 1.25e-03, 6.53e-04, 1.30e-03, 5.93e-04, 1.27e-02, 4.46e-04] []
90000 [3.75e-04, 3.96e-04, 1.73e-03, 2.76e-04, 3.25e-03, 3.01e-04, 5.52e-04, 1.23e-02, 3.87e-04] [3.75e-04, 3.96e-04, 1.73e-03, 2.76e-04, 3.25e-03, 3.01e-04, 5.52e-04, 1.23e-02, 3.87e-04] []
100000 [4.52e-04, 4.90e-04, 1.68e-03, 1.41e-03, 2.50e-03, 1.26e-03, 5.32e-04, 1.16e-02, 3.27e-04] [4.52e-04, 4.90e-04, 1.68e-03, 1.41e-03, 2.50e-03, 1.26e-03, 5.32e-04, 1.16e-02, 3.27e-04] []
Best model at step 60000:
train loss: 1.82e-02
test loss: 1.82e-02
test metric: []
'train' took 23622.966533 s