PDENNEval / conf /config.yaml
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project:
name: PINNsformer
task: 1d_reaction
runtime:
seed: 0
device: auto
model:
name: PINNsformer1D
d_out: 1
d_hidden: 128
d_model: 32
num_layers: 1
heads: 2
data:
x_range: [0.0, 6.283185307179586]
t_range: [0.0, 1.0]
x_num: 31
t_num: 31
sequence:
num_step: 5
step: 0.0001
equation:
reaction_rate: 5.0
initial:
center: 3.141592653589793
sigma: 0.7853981633974483
training:
epochs: 2
optimizer:
name: LBFGS
lr: 1.0
max_iter: 5
line_search_fn: strong_wolfe
checkpoint: weight/1dreaction_pinnsformer.pt
paths:
fake_data: data/reaction_fake.npz
prediction: result/prediction.npz
metrics: result/metrics.json
loss: result/train_loss.npy
figure: result/1dreaction_pinnsformer.png