DLESyM / conf /config.yaml
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seed: 42
data: {path: data/dlesym.npz, samples: 6, tile: 16, atmosphere_channels: 9, logical_grid: [180, 360]}
model: {atmosphere_channels: 9, hidden: 16}
train: {epochs: 1, learning_rate: 0.001}
inference: {cycles: 4}
paths: {checkpoint: result/checkpoints/dlesym.pt, training_metrics: result/training/metrics.json, predictions: result/output/predictions.npz, evaluation: result/evaluation/metrics.json, figure: result/evaluation/comparison.png}
paper_model: {resolution_km: 110, atmosphere_channels: 9, ocean_channels: 1, atmosphere_step_hours: 6, ocean_step_hours: 48, coupling_cycle_hours: 96, atmosphere_epochs: 250, ocean_epochs: 300}