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{
  "schema": "rain_ep_structured_bias_screen_v1",
  "sdil": {
    "revision": "c868f021850d4f8a91a4eca97ad475aa6fafdc7d"
  },
  "author": {
    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
  },
  "protocol": {
    "dataset": "FashionMNIST",
    "network": "author comparative-study ConvHopfieldEnergy32",
    "network_protocol": "comparative32",
    "algorithm": "equilibrium propagation",
    "beta_policy": "fixed_positive",
    "beta_seed": 7100,
    "adapter": "layer",
    "mode": "clean",
    "bias_ratio": 0.0,
    "predictor_rate": 0.1,
    "neutral_cadence": 1,
    "layer_calibration_steps": 1,
    "layer_bias_normalization": "first_state",
    "calibration_batches": 0,
    "calibration_observations": 0,
    "calibration_seconds": 4.76837158203125e-07,
    "extra_equilibrium_phases_for_predictor": 0,
    "predictor_neutral_source": "existing_first_EP_phase",
    "bias_ratio_normalization": "initial_free_layer_state_rms",
    "bias_ratio_normalization_visible_to_predictor": false,
    "epochs": 1,
    "train_limit": 10000,
    "test_limit": 2000,
    "evaluation_split": "test",
    "data_seed": 6300,
    "batch_size": 128,
    "training_iterations": 15,
    "inference_iterations": 60,
    "schedule_epochs": 100,
    "seed": 1988,
    "device": "cuda",
    "determinism": "author_default",
    "autodiff_used_for_learning": false
  },
  "hardware": {
    "torch_version": "2.3.1+cu118",
    "torch_cuda_version": "11.8",
    "cuda_visible_devices": "5",
    "device_name": "NVIDIA GeForce GTX 1080"
  },
  "metrics": [
    {
      "epoch": 1,
      "train_accuracy": 0.2823,
      "train_cost": 0.41964172530174254,
      "test_accuracy": 0.614,
      "test_cost": 0.3436005640029907,
      "finite": true,
      "corrector": {},
      "wall_seconds": 129.7868938446045
    }
  ],
  "epochs_completed": 1,
  "beta_sign_counts": {
    "positive": 79,
    "negative": 0
  },
  "final": {
    "epoch": 1,
    "train_accuracy": 0.2823,
    "train_cost": 0.41964172530174254,
    "test_accuracy": 0.614,
    "test_cost": 0.3436005640029907,
    "finite": true,
    "corrector": {},
    "wall_seconds": 129.7868938446045
  }
}