| project: | |
| name: NNCAM | |
| format_version: "1.0" | |
| seed: 42 | |
| dimensions: | |
| input: 94 | |
| output: 65 | |
| levels: 30 | |
| paths: | |
| data: data/nncam_fake.npz | |
| checkpoint: result/checkpoints/nncam.pt | |
| training_metrics: result/training/metrics.json | |
| predictions: result/output/predictions.npz | |
| evaluation_metrics: result/evaluation/metrics.json | |
| figure: result/evaluation/comparison.png | |
| data: | |
| samples: 192 | |
| seed: 42 | |
| model: | |
| depth: 4 | |
| width: 32 | |
| negative_slope: 0.3 | |
| training: | |
| epochs: 3 | |
| batch_size: 64 | |
| learning_rate: 0.001 | |
| paper_model: | |
| depth: 9 | |
| width: 256 | |
| epochs: 18 | |
| batch_size: 1024 | |
| parameters: 567361 | |
| note: Recorded paper-scale architecture; enabled only by the explicit --paper-model flag. | |