File size: 752 Bytes
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data:
format_version: clm5_emulator_v1
path: data/clm5_ppe.npz
samples: 40
grid: [46, 72]
input_parameters: 6
targets: [GPP, LHF]
eof_modes: 3
model:
hidden_dim: 12
train:
epochs: 4
batch_size: 10
learning_rate: 0.005
weight_decay: 0.0001
paths:
checkpoint: result/checkpoints/clm5_emulator.pt
training_metrics: result/training/metrics.json
predictions: result/output/predictions.npz
evaluation: result/evaluation/metrics.json
figure: result/evaluation/comparison.png
paper_model:
ppe_members: 100
input_parameters: [medlynslope, dleaf, kmax, fff, dint, baseflow_scalar]
hidden_layers: 2
hidden_candidates: [5, 15]
optimizer: RMSprop
learning_rate: 0.005
batch_size: 30
split: [0.6, 0.2, 0.2]
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