{
  "schema": "rain_ep_structured_bias_screen_v1",
  "author": {
    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
  },
  "protocol": {
    "dataset": "FashionMNIST",
    "network": "author ConvHopfieldEnergy28 32-64-10",
    "algorithm": "positive equilibrium propagation",
    "adapter": "layer",
    "mode": "clean",
    "bias_ratio": 0.01,
    "predictor_rate": 0.2,
    "neutral_cadence": 1,
    "layer_calibration_steps": 1,
    "calibration_batches": 0,
    "calibration_observations": 0,
    "calibration_seconds": 7.152557373046875e-07,
    "epochs": 3,
    "train_limit": 10000,
    "test_limit": 2000,
    "batch_size": 128,
    "training_iterations": 12,
    "inference_iterations": 30,
    "seed": 1988,
    "device": "cuda",
    "determinism": "author_default",
    "autodiff_used_for_learning": false
  },
  "metrics": [
    {
      "epoch": 1,
      "train_accuracy": 0.5563,
      "train_cost": 0.3355503449678421,
      "test_accuracy": 0.722,
      "test_cost": 0.24162537765502928,
      "finite": true,
      "corrector": {},
      "wall_seconds": 11.857985019683838
    },
    {
      "epoch": 2,
      "train_accuracy": 0.7459,
      "train_cost": 0.2172047360420227,
      "test_accuracy": 0.754,
      "test_cost": 0.20888809299468994,
      "finite": true,
      "corrector": {},
      "wall_seconds": 22.17092728614807
    },
    {
      "epoch": 3,
      "train_accuracy": 0.7808,
      "train_cost": 0.1935648787498474,
      "test_accuracy": 0.7805,
      "test_cost": 0.20253189277648925,
      "finite": true,
      "corrector": {},
      "wall_seconds": 32.770522356033325
    }
  ],
  "epochs_completed": 3,
  "final": {
    "epoch": 3,
    "train_accuracy": 0.7808,
    "train_cost": 0.1935648787498474,
    "test_accuracy": 0.7805,
    "test_cost": 0.20253189277648925,
    "finite": true,
    "corrector": {},
    "wall_seconds": 32.770522356033325
  }
}