| seed: 42 | |
| data: | |
| path: data/scale_adaptive_cm_fake.npz | |
| format_version: scale_adaptive_cm_v1 | |
| samples: 4 | |
| low_grid: [60, 96] | |
| high_grid: [240, 384] | |
| scale_factor: 4 | |
| log_epsilon: 0.0001 | |
| model: | |
| channels: [4, 8, 16] | |
| time_dim: 16 | |
| sigma_data: 0.5 | |
| train: | |
| epochs: 1 | |
| batch_size: 1 | |
| learning_rate: 0.0002 | |
| ema_decay: 0.9 | |
| runtime: | |
| device: cpu | |
| paths: | |
| checkpoint: result/checkpoints/scale_adaptive_cm.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 | |
| guidance_sigma: 0.468 | |
| paper_model: | |
| high_grid: [240, 384] | |
| low_grid: [60, 96] | |
| channels: [128, 128, 256, 256] | |
| epochs: 150 | |
| batch_size: 1 | |
| learning_rate: 0.0002 | |
| t_min: 0.002 | |
| t_max: 80.0 | |
| rho: 7 | |
| ema_initial_decay: 0.9 | |