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Hyperreduction working well for Advection2D
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experiments_SNFROM/advect_fourier2D/dump/statistics_01.txt
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Epoch [0 / 0] TRAIN LOSS: 0.07959339 || TEST LOSS: 0.07959339 | ||
#======================# | ||
TRAIN STATS | ||
R² score: 0.89782786 | ||
MSE (mean SQR error): 0.07950444 | ||
RMSE (Root MSE): 0.28196532 | ||
MAE (mean ABS error): 0.083624355 | ||
maxAE (max ABS error) 4.9364767 | ||
Lipschitz bound: 2.9390372e6 | ||
|
||
#======================# | ||
#======================# | ||
TEST STATS | ||
R² score: 0.89782786 | ||
MSE (mean SQR error): 0.07950444 | ||
RMSE (Root MSE): 0.28196532 | ||
MAE (mean ABS error): 0.083624355 | ||
maxAE (max ABS error) 4.9364767 | ||
Lipschitz bound: 2.9390372e6 | ||
|
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#======================# |
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experiments_SNFROM/advect_fourier2D/dump/statistics_02.txt
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Epoch [0 / 0] TRAIN LOSS: 9.108968e-5 || TEST LOSS: 9.108968e-5 | ||
#======================# | ||
TRAIN STATS | ||
R² score: 0.9999883 | ||
MSE (mean SQR error): 1.1684139e-5 | ||
RMSE (Root MSE): 0.0034182067 | ||
MAE (mean ABS error): 0.0013902619 | ||
maxAE (max ABS error) 0.17474842 | ||
Lipschitz bound: 1.4389324e7 | ||
|
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#======================# | ||
#======================# | ||
TEST STATS | ||
R² score: 0.9999883 | ||
MSE (mean SQR error): 1.1684139e-5 | ||
RMSE (Root MSE): 0.0034182067 | ||
MAE (mean ABS error): 0.0013902619 | ||
maxAE (max ABS error) 0.17474842 | ||
Lipschitz bound: 1.4389324e7 | ||
|
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#======================# |
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experiments_SNFROM/advect_fourier2D/dump/statistics_03.txt
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Epoch [0 / 0] TRAIN LOSS: 6.393927e-5 || TEST LOSS: 6.393927e-5 | ||
#======================# | ||
TRAIN STATS | ||
R² score: 0.99999785 | ||
MSE (mean SQR error): 2.164636e-6 | ||
RMSE (Root MSE): 0.0014712702 | ||
MAE (mean ABS error): 0.00066710263 | ||
maxAE (max ABS error) 0.07369709 | ||
Lipschitz bound: 2.0018566e7 | ||
|
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#======================# | ||
#======================# | ||
TEST STATS | ||
R² score: 0.99999785 | ||
MSE (mean SQR error): 2.1646363e-6 | ||
RMSE (Root MSE): 0.0014712703 | ||
MAE (mean ABS error): 0.00066710263 | ||
maxAE (max ABS error) 0.07369709 | ||
Lipschitz bound: 2.0018566e7 | ||
|
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#======================# |
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experiments_SNFROM/advect_fourier2D/dump/statistics_04.txt
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Epoch [0 / 0] TRAIN LOSS: 4.8295835e-5 || TEST LOSS: 4.8295835e-5 | ||
#======================# | ||
TRAIN STATS | ||
R² score: 0.9999996 | ||
MSE (mean SQR error): 4.428761e-7 | ||
RMSE (Root MSE): 0.00066548935 | ||
MAE (mean ABS error): 0.00040202946 | ||
maxAE (max ABS error) 0.030995367 | ||
Lipschitz bound: 2.5403956e7 | ||
|
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#======================# | ||
#======================# | ||
TEST STATS | ||
R² score: 0.9999996 | ||
MSE (mean SQR error): 4.42876e-7 | ||
RMSE (Root MSE): 0.0006654893 | ||
MAE (mean ABS error): 0.00040202946 | ||
maxAE (max ABS error) 0.030995367 | ||
Lipschitz bound: 2.5403956e7 | ||
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#======================# |
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experiments_SNFROM/advect_fourier2D/dump/statistics_05.txt
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Epoch [0 / 0] TRAIN LOSS: 4.1022606e-5 || TEST LOSS: 4.1022606e-5 | ||
#======================# | ||
TRAIN STATS | ||
R² score: 0.9999997 | ||
MSE (mean SQR error): 3.0104553e-7 | ||
RMSE (Root MSE): 0.0005486762 | ||
MAE (mean ABS error): 0.00033684052 | ||
maxAE (max ABS error) 0.022165298 | ||
Lipschitz bound: 2.7718932e7 | ||
|
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#======================# | ||
#======================# | ||
TEST STATS | ||
R² score: 0.9999997 | ||
MSE (mean SQR error): 3.0104553e-7 | ||
RMSE (Root MSE): 0.0005486762 | ||
MAE (mean ABS error): 0.00033684052 | ||
maxAE (max ABS error) 0.022165298 | ||
Lipschitz bound: 2.7718932e7 | ||
|
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#======================# |
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experiments_SNFROM/advect_fourier2D/dump/statistics_06.txt
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Epoch [0 / 0] TRAIN LOSS: 3.662684e-5 || TEST LOSS: 3.662684e-5 | ||
#======================# | ||
TRAIN STATS | ||
R² score: 0.99999976 | ||
MSE (mean SQR error): 2.568104e-7 | ||
RMSE (Root MSE): 0.0005067646 | ||
MAE (mean ABS error): 0.00032269835 | ||
maxAE (max ABS error) 0.020819664 | ||
Lipschitz bound: 2.8856308e7 | ||
|
||
#======================# | ||
#======================# | ||
TEST STATS | ||
R² score: 0.99999976 | ||
MSE (mean SQR error): 2.568104e-7 | ||
RMSE (Root MSE): 0.0005067646 | ||
MAE (mean ABS error): 0.00032269835 | ||
maxAE (max ABS error) 0.020819664 | ||
Lipschitz bound: 2.8856308e7 | ||
|
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#======================# |
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experiments_SNFROM/advect_fourier2D/dump/statistics_07.txt
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Epoch [0 / 0] TRAIN LOSS: 3.377672e-5 || TEST LOSS: 3.377672e-5 | ||
#======================# | ||
TRAIN STATS | ||
R² score: 0.99999976 | ||
MSE (mean SQR error): 2.4681898e-7 | ||
RMSE (Root MSE): 0.0004968088 | ||
MAE (mean ABS error): 0.00032304114 | ||
maxAE (max ABS error) 0.018532751 | ||
Lipschitz bound: 2.9604058e7 | ||
|
||
#======================# | ||
#======================# | ||
TEST STATS | ||
R² score: 0.99999976 | ||
MSE (mean SQR error): 2.46819e-7 | ||
RMSE (Root MSE): 0.00049680885 | ||
MAE (mean ABS error): 0.00032304114 | ||
maxAE (max ABS error) 0.018532751 | ||
Lipschitz bound: 2.9604058e7 | ||
|
||
#======================# |
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experiments_SNFROM/advect_fourier2D/dump/statistics_08.txt
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Epoch [0 / 0] TRAIN LOSS: 3.1731557e-5 || TEST LOSS: 3.1731557e-5 | ||
#======================# | ||
TRAIN STATS | ||
R² score: 0.99999976 | ||
MSE (mean SQR error): 2.1531628e-7 | ||
RMSE (Root MSE): 0.00046402184 | ||
MAE (mean ABS error): 0.00030401754 | ||
maxAE (max ABS error) 0.018846512 | ||
Lipschitz bound: 3.0150234e7 | ||
|
||
#======================# | ||
#======================# | ||
TEST STATS | ||
R² score: 0.99999976 | ||
MSE (mean SQR error): 2.1531628e-7 | ||
RMSE (Root MSE): 0.00046402184 | ||
MAE (mean ABS error): 0.00030401754 | ||
maxAE (max ABS error) 0.018846512 | ||
Lipschitz bound: 3.0150234e7 | ||
|
||
#======================# |
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# | ||
using NeuralROMs | ||
joinpath(pkgdir(NeuralROMs), "experiments_SNFROM", "compare.jl") |> include | ||
#======================================================# | ||
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rng = Random.default_rng() | ||
Random.seed!(rng, 199) | ||
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prob = Advection2D(0.25f0, 0.25f0) | ||
datafile = joinpath(@__DIR__, "data_advect/", "data.jld2") | ||
modeldir = joinpath(@__DIR__, "dump") | ||
modelfile = joinpath(modeldir, "model_08.jld2") | ||
device = Lux.gpu_device() | ||
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# latent = 2 | ||
# batchsize_ = (128 * 128) * 500 ÷ 4 | ||
# makedata_kws = (; Ix = :, _Ib = [1,], Ib_ = [1,], _It = :, It_ = :) | ||
# train_params = (; E = 1400, wd = 128, α = 0f-0, γ = 1f-2, makedata_kws, batchsize_) | ||
# train_SNF_compare(latent, datafile, modeldir, train_params; rng, device) | ||
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evolve_kw = (; hyper_reduction = true) | ||
postprocess_SNF(prob, datafile, modelfile; rng, evolve_kw, device) | ||
#======================================================# | ||
nothing |
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experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_01.txt
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Epoch [0 / 0] TRAIN LOSS: 3.29769e-5 || TEST LOSS: 3.29769e-5 | ||
Epoch [0 / 0] TRAIN LOSS: 3.4859244e-5 || TEST LOSS: 3.4859244e-5 | ||
#======================# | ||
TRAIN STATS | ||
R² score: 0.9999656 | ||
MSE (mean SQR error): 3.29769e-5 | ||
RMSE (Root MSE): 0.0057425518 | ||
MAE (mean ABS error): 0.0039906665 | ||
maxAE (max ABS error) 0.33689684 | ||
Lipschitz bound: 9.251425 | ||
R² score: 0.9999637 | ||
MSE (mean SQR error): 3.4859244e-5 | ||
RMSE (Root MSE): 0.0059041716 | ||
MAE (mean ABS error): 0.00399306 | ||
maxAE (max ABS error) 0.32053757 | ||
Lipschitz bound: 8.303828 | ||
|
||
#======================# | ||
#======================# | ||
TEST STATS | ||
R² score: 0.9999656 | ||
MSE (mean SQR error): 3.2976903e-5 | ||
RMSE (Root MSE): 0.0057425518 | ||
MAE (mean ABS error): 0.003990666 | ||
maxAE (max ABS error) 0.33689684 | ||
Lipschitz bound: 9.251425 | ||
R² score: 0.9999637 | ||
MSE (mean SQR error): 3.485924e-5 | ||
RMSE (Root MSE): 0.0059041716 | ||
MAE (mean ABS error): 0.00399306 | ||
maxAE (max ABS error) 0.32053757 | ||
Lipschitz bound: 8.303828 | ||
|
||
#======================# |
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experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_02.txt
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Epoch [0 / 0] TRAIN LOSS: 1.14264185e-5 || TEST LOSS: 1.14264185e-5 | ||
Epoch [0 / 0] TRAIN LOSS: 1.4201271e-5 || TEST LOSS: 1.4201271e-5 | ||
#======================# | ||
TRAIN STATS | ||
R² score: 0.999988 | ||
MSE (mean SQR error): 1.14264185e-5 | ||
RMSE (Root MSE): 0.0033802984 | ||
MAE (mean ABS error): 0.0022574454 | ||
maxAE (max ABS error) 0.2184813 | ||
Lipschitz bound: 10.982954 | ||
R² score: 0.9999851 | ||
MSE (mean SQR error): 1.4201271e-5 | ||
RMSE (Root MSE): 0.003768457 | ||
MAE (mean ABS error): 0.002523462 | ||
maxAE (max ABS error) 0.28752708 | ||
Lipschitz bound: 9.592586 | ||
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#======================# | ||
#======================# | ||
TEST STATS | ||
R² score: 0.999988 | ||
MSE (mean SQR error): 1.1426417e-5 | ||
RMSE (Root MSE): 0.0033802984 | ||
MAE (mean ABS error): 0.0022574456 | ||
maxAE (max ABS error) 0.2184813 | ||
Lipschitz bound: 10.982954 | ||
R² score: 0.9999851 | ||
MSE (mean SQR error): 1.4201269e-5 | ||
RMSE (Root MSE): 0.003768457 | ||
MAE (mean ABS error): 0.002523462 | ||
maxAE (max ABS error) 0.28752708 | ||
Lipschitz bound: 9.592586 | ||
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||
#======================# |
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experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_03.txt
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Epoch [0 / 0] TRAIN LOSS: 4.1313647e-6 || TEST LOSS: 4.1313647e-6 | ||
Epoch [0 / 0] TRAIN LOSS: 8.287154e-6 || TEST LOSS: 8.287154e-6 | ||
#======================# | ||
TRAIN STATS | ||
R² score: 0.9999957 | ||
MSE (mean SQR error): 4.1313647e-6 | ||
RMSE (Root MSE): 0.002032576 | ||
MAE (mean ABS error): 0.0013552677 | ||
maxAE (max ABS error) 0.13068151 | ||
Lipschitz bound: 11.582279 | ||
R² score: 0.9999913 | ||
MSE (mean SQR error): 8.287154e-6 | ||
RMSE (Root MSE): 0.0028787416 | ||
MAE (mean ABS error): 0.0018920312 | ||
maxAE (max ABS error) 0.21459033 | ||
Lipschitz bound: 9.758869 | ||
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#======================# | ||
#======================# | ||
TEST STATS | ||
R² score: 0.9999957 | ||
MSE (mean SQR error): 4.1313647e-6 | ||
RMSE (Root MSE): 0.002032576 | ||
MAE (mean ABS error): 0.0013552677 | ||
maxAE (max ABS error) 0.13068151 | ||
Lipschitz bound: 11.582279 | ||
R² score: 0.9999913 | ||
MSE (mean SQR error): 8.287154e-6 | ||
RMSE (Root MSE): 0.0028787416 | ||
MAE (mean ABS error): 0.0018920312 | ||
maxAE (max ABS error) 0.21459033 | ||
Lipschitz bound: 9.758869 | ||
|
||
#======================# |
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experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_04.txt
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Epoch [0 / 0] TRAIN LOSS: 3.7262396e-6 || TEST LOSS: 3.7262396e-6 | ||
Epoch [0 / 0] TRAIN LOSS: 3.9551287e-6 || TEST LOSS: 3.9551287e-6 | ||
#======================# | ||
TRAIN STATS | ||
R² score: 0.9999962 | ||
MSE (mean SQR error): 3.7262396e-6 | ||
RMSE (Root MSE): 0.001930347 | ||
MAE (mean ABS error): 0.0012878623 | ||
maxAE (max ABS error) 0.12932086 | ||
Lipschitz bound: 11.640823 | ||
R² score: 0.99999595 | ||
MSE (mean SQR error): 3.9551287e-6 | ||
RMSE (Root MSE): 0.0019887506 | ||
MAE (mean ABS error): 0.0013053538 | ||
maxAE (max ABS error) 0.14382899 | ||
Lipschitz bound: 10.559205 | ||
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#======================# | ||
#======================# | ||
TEST STATS | ||
R² score: 0.9999962 | ||
MSE (mean SQR error): 3.7262394e-6 | ||
RMSE (Root MSE): 0.001930347 | ||
MAE (mean ABS error): 0.0012878622 | ||
maxAE (max ABS error) 0.12932086 | ||
Lipschitz bound: 11.640823 | ||
R² score: 0.99999595 | ||
MSE (mean SQR error): 3.9551287e-6 | ||
RMSE (Root MSE): 0.0019887506 | ||
MAE (mean ABS error): 0.0013053537 | ||
maxAE (max ABS error) 0.14382899 | ||
Lipschitz bound: 10.559205 | ||
|
||
#======================# |
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