File size: 1,035 Bytes
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data:
path: data/precip_extremes_gan_fake.npz
format_version: precip_extremes_gan_v1
samples_per_period: 16
low_grid: [24, 24]
high_grid: [96, 96]
input_channels: 8
log_epsilon: 0.001
model:
filters: [8, 16, 32]
noise_channels: 1
train:
baseline_epochs: 1
gan_epochs: 1
batch_size: 2
baseline_lr: 0.0007
gan_lr: 0.0002
adversarial_weight: 0.01
intensity_weight: 1.0
runtime:
device: cpu
paths:
checkpoint: result/checkpoints/precip_extremes_gan.pt
training_metrics: result/training/metrics.json
predictions: result/output/predictions.npz
evaluation: result/evaluation/metrics.json
figure: result/evaluation/comparison.png
evaluation:
ensemble_members: 3
extreme_percentile: 99.5
wet_day_threshold: 1.0
paper_model:
filters: [32, 64, 128]
parameters_baseline: 1500000
epochs: 250
batch_size: 32
adversarial_weight: 0.01
ensemble_members: 10
historical_period: 1960-2014
future_period: 2044-2099
evaluation_historical: 1985-2014
evaluation_future: 2070-2099
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