WeatherBench / conf /config.yaml
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seed: 42
data:
format_version: weatherbench_v1
path: data/weatherbench.npz
grid: [32, 64]
samples: 24
channels: [Z500, T850]
model:
hidden_channels: 16
layers: 5
kernel_size: 5
train:
epochs: 2
learning_rate: 0.001
paths:
checkpoint: result/checkpoints/weatherbench_cnn.pt
training_metrics: result/training/metrics.json
predictions: result/output/predictions.npz
evaluation: result/evaluation/metrics.json
figure: result/evaluation/comparison.png
paper_model:
grid: [32, 64]
input_channels: [Z500, T850]
conv_layers: 5
hidden_channels: 64
kernel_size: 5
activation: ELU
optimizer: Adam
loss: MSE
test_years: [2017, 2018]