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log.txt
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********* FOLD 0 *********
reading ./simulated dataset/example.npy
********* FOLD 0 *********
reading ./simulated dataset/example.npy
********* FOLD 0 *********
reading ./simulated_dataset/example.npy
********* FOLD 0 *********
Epoch: 0 | example.npy Rep: 52.92 | KL: 0.26 | Time Elapsed: 2.85 |
Epoch: 10 | example.npy Rep: 43.02 | KL: 0.25 | Time Elapsed: 13.66 |
Epoch: 20 | example.npy Rep: 34.71 | KL: 0.22 | Time Elapsed: 13.74 |
Epoch: 30 | example.npy Rep: 28.10 | KL: 0.19 | Time Elapsed: 16.01 |
Epoch: 40 | example.npy Rep: 23.14 | KL: 0.16 | Time Elapsed: 14.30 |
Epoch: 50 | example.npy Rep: 19.54 | KL: 0.13 | Time Elapsed: 15.82 |
Epoch: 60 | example.npy Rep: 16.69 | KL: 0.13 | Time Elapsed: 18.75 |
Epoch: 70 | example.npy Rep: 14.48 | KL: 0.13 | Time Elapsed: 16.27 |
Epoch: 80 | example.npy Rep: 12.85 | KL: 0.14 | Time Elapsed: 15.92 |
Epoch: 90 | example.npy Rep: 11.79 | KL: 0.13 | Time Elapsed: 16.36 |
FINAL RESULTS REP: 11.785028457641602 KL: 0.005081011913716793
********* FOLD 1 *********
Epoch: 0 | example.npy Rep: 29.52 | KL: 0.21 | Time Elapsed: 1.88 |
Epoch: 10 | example.npy Rep: 24.14 | KL: 0.19 | Time Elapsed: 14.65 |
Epoch: 20 | example.npy Rep: 20.14 | KL: 0.17 | Time Elapsed: 15.55 |
Epoch: 30 | example.npy Rep: 17.09 | KL: 0.15 | Time Elapsed: 15.38 |
Epoch: 40 | example.npy Rep: 14.77 | KL: 0.13 | Time Elapsed: 14.17 |
Epoch: 50 | example.npy Rep: 13.23 | KL: 0.11 | Time Elapsed: 14.14 |
Epoch: 60 | example.npy Rep: 12.35 | KL: 0.10 | Time Elapsed: 14.23 |
Epoch: 70 | example.npy Rep: 11.62 | KL: 0.11 | Time Elapsed: 14.99 |
Epoch: 80 | example.npy Rep: 11.12 | KL: 0.11 | Time Elapsed: 15.28 |
Epoch: 90 | example.npy Rep: 10.86 | KL: 0.11 | Time Elapsed: 14.32 |
FINAL RESULTS REP: 10.855175971984863 KL: 0.0044344705529510975
********* FOLD 2 *********
Epoch: 0 | example.npy Rep: 26.61 | KL: 0.34 | Time Elapsed: 1.98 |
Epoch: 10 | example.npy Rep: 20.94 | KL: 0.30 | Time Elapsed: 14.65 |
Epoch: 20 | example.npy Rep: 17.22 | KL: 0.21 | Time Elapsed: 14.02 |
Epoch: 30 | example.npy Rep: 15.22 | KL: 0.18 | Time Elapsed: 16.67 |
Epoch: 40 | example.npy Rep: 13.53 | KL: 0.16 | Time Elapsed: 15.18 |
Epoch: 50 | example.npy Rep: 12.12 | KL: 0.15 | Time Elapsed: 15.84 |
Epoch: 60 | example.npy Rep: 11.33 | KL: 0.14 | Time Elapsed: 17.49 |
Epoch: 70 | example.npy Rep: 10.97 | KL: 0.14 | Time Elapsed: 16.83 |
Epoch: 80 | example.npy Rep: 10.86 | KL: 0.13 | Time Elapsed: 17.90 |
Epoch: 90 | example.npy Rep: 10.78 | KL: 0.13 | Time Elapsed: 17.93 |
FINAL RESULTS REP: 10.781169891357422 KL: 0.005342632997781038
********* FOLD 3 *********
Epoch: 0 | example.npy Rep: 31.35 | KL: 0.25 | Time Elapsed: 2.35 |
Epoch: 10 | example.npy Rep: 25.62 | KL: 0.25 | Time Elapsed: 17.91 |
Epoch: 20 | example.npy Rep: 21.10 | KL: 0.22 | Time Elapsed: 17.19 |
Epoch: 30 | example.npy Rep: 17.58 | KL: 0.19 | Time Elapsed: 15.29 |
Epoch: 40 | example.npy Rep: 15.02 | KL: 0.17 | Time Elapsed: 16.52 |
Epoch: 50 | example.npy Rep: 13.16 | KL: 0.14 | Time Elapsed: 14.41 |
Epoch: 60 | example.npy Rep: 11.94 | KL: 0.14 | Time Elapsed: 16.16 |
Epoch: 70 | example.npy Rep: 11.33 | KL: 0.14 | Time Elapsed: 14.47 |
Epoch: 80 | example.npy Rep: 10.85 | KL: 0.12 | Time Elapsed: 15.39 |
Epoch: 90 | example.npy Rep: 10.61 | KL: 0.11 | Time Elapsed: 18.38 |
********* FOLD 0 *********
Epoch: 0 | example.npy Rep: 52.92 | KL: 0.26 | Time Elapsed: 1.97 |
Epoch: 10 | example.npy Rep: 43.02 | KL: 0.25 | Time Elapsed: 14.98 |
Epoch: 20 | example.npy Rep: 34.71 | KL: 0.22 | Time Elapsed: 14.11 |
Epoch: 30 | example.npy Rep: 28.10 | KL: 0.19 | Time Elapsed: 16.08 |