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.