seed: 2025
data:
  format_version: fuxi_da_tiles_v1
  manifest: data/fuxi_da_manifest.json
  tile_size: 32
  tile_ids: [0, 37, 181, 399]
  missing_probability: 0.2
model:
  base_channels: 8
train:
  iterations: 2
  forecast_steps: 2
  batch_size: 1
  learning_rate: 0.002
  warmup_steps: 1
  weight_decay: 0.00001
runtime:
  device: cpu
paths:
  checkpoint: result/checkpoints/fuxi_da.pt
  training_metrics: result/training/metrics.json
  predictions: result/output/predictions.npz
  evaluation: result/evaluation/metrics.json
  figure: result/evaluation/comparison.png
paper_model:
  background_shape: [70, 721, 1440]
  observation_shape: [8, 15, 640, 640]
  iterations: 6000
  forecast_steps: 10
  batch_size_per_gpu: 1
  gpus: 4
  warmup_steps: 500
  peak_learning_rate: 0.002