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output.38930181
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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 -1.0000000e+03 1.0000000e+01
1.0000000e-02 7.0000000e+07] and [3.1709792e-04 3.1709792e-04 3.6000000e+03 3.5000000e+03 1.0000000e+04
7.0000000e+08]
Compiling model...
'compile' took 0.005863 s
Training model...
Step Train loss Test loss Test metric
0 [2.32e+02, 2.45e+02, 9.46e+02, 5.58e+02, 8.62e+00, 1.89e+00, 4.78e-02, 4.19e+00] [2.32e+02, 2.45e+02, 9.46e+02, 5.58e+02, 8.62e+00, 1.89e+00, 4.78e-02, 4.19e+00] []
10000 [1.06e-02, 1.40e-02, 4.50e-03, 2.93e-03, 3.63e-03, 4.64e-02, 2.02e-03, 2.48e-04] [1.06e-02, 1.40e-02, 4.50e-03, 2.93e-03, 3.63e-03, 4.64e-02, 2.02e-03, 2.48e-04] []
20000 [1.08e-02, 1.37e-02, 3.08e-03, 2.39e-03, 9.93e-04, 3.06e-02, 5.48e-04, 8.11e-05] [1.08e-02, 1.37e-02, 3.08e-03, 2.39e-03, 9.93e-04, 3.06e-02, 5.48e-04, 8.11e-05] []
30000 [1.19e-02, 2.85e-03, 3.25e-03, 2.38e-03, 3.88e-04, 2.31e-02, 2.02e-04, 7.77e-05] [1.19e-02, 2.85e-03, 3.25e-03, 2.38e-03, 3.88e-04, 2.31e-02, 2.02e-04, 7.77e-05] []
40000 [6.86e-03, 1.89e-03, 5.74e-04, 1.06e-03, 6.23e-04, 1.92e-02, 2.64e-04, 6.22e-05] [6.86e-03, 1.89e-03, 5.74e-04, 1.06e-03, 6.23e-04, 1.92e-02, 2.64e-04, 6.22e-05] []
50000 [2.87e-03, 3.20e-03, 7.80e-04, 5.04e-04, 4.04e-04, 1.81e-02, 1.15e-04, 6.61e-05] [2.87e-03, 3.20e-03, 7.80e-04, 5.04e-04, 4.04e-04, 1.81e-02, 1.15e-04, 6.61e-05] []
60000 [2.47e-03, 1.36e-03, 5.08e-04, 4.17e-04, 3.72e-04, 1.54e-02, 1.11e-04, 6.16e-05] [2.47e-03, 1.36e-03, 5.08e-04, 4.17e-04, 3.72e-04, 1.54e-02, 1.11e-04, 6.16e-05] []
70000 [6.39e-03, 2.60e-03, 6.89e-04, 8.59e-04, 4.98e-04, 1.49e-02, 2.65e-04, 6.25e-05] [6.39e-03, 2.60e-03, 6.89e-04, 8.59e-04, 4.98e-04, 1.49e-02, 2.65e-04, 6.25e-05] []
80000 [4.82e-04, 7.91e-04, 2.33e-04, 3.73e-04, 3.36e-04, 1.32e-02, 9.24e-05, 5.45e-05] [4.82e-04, 7.91e-04, 2.33e-04, 3.73e-04, 3.36e-04, 1.32e-02, 9.24e-05, 5.45e-05] []
90000 [4.64e-04, 6.58e-04, 2.29e-04, 3.17e-04, 3.19e-04, 1.18e-02, 8.96e-05, 4.43e-05] [4.64e-04, 6.58e-04, 2.29e-04, 3.17e-04, 3.19e-04, 1.18e-02, 8.96e-05, 4.43e-05] []
100000 [3.68e-03, 2.48e-03, 4.86e-04, 3.15e-04, 3.43e-04, 1.10e-02, 1.06e-04, 4.34e-05] [3.68e-03, 2.48e-03, 4.86e-04, 3.15e-04, 3.43e-04, 1.10e-02, 1.06e-04, 4.34e-05] []
Best model at step 90000:
train loss: 1.39e-02
test loss: 1.39e-02
test metric: []
'train' took 8078.142425 s