| seed: 42 | |
| data: | |
| root: data | |
| format_version: wildfire_danger_spatiotemporal_v1 | |
| train_samples: 12 | |
| test_samples: 8 | |
| sequence_days: 10 | |
| channels: 25 | |
| patch_height: 25 | |
| patch_width: 25 | |
| resolution_km: 1 | |
| input_layout: BTCHW | |
| target_layout: B1 | |
| model: | |
| input_channels: 25 | |
| hidden_channels: 4 | |
| kernel_size: 3 | |
| dropout: 0.1 | |
| train: | |
| epochs: 2 | |
| batch_size: 4 | |
| learning_rate: 0.003 | |
| optimizer: Adam | |
| loss: BCEWithLogitsLoss | |
| weight_decay: 0.0001 | |
| gradient_clip_norm: 5.0 | |
| num_workers: 0 | |
| runtime: | |
| device: auto | |
| paths: | |
| checkpoint: result/checkpoints/firecubenet.pt | |
| training_metrics: result/training/metrics.json | |
| inference_dir: result/output | |
| evaluation_dir: result/evaluation | |
| evaluation: | |
| threshold: 0.5 | |