{
  "schema": "rain_ep_structured_bias_screen_v1",
  "sdil": {
    "revision": "a10a84066a6f7aa38d86b1a71ed371c9c6f22815"
  },
  "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": "oracle",
    "bias_ratio": 0.01,
    "predictor_rate": 0.2,
    "neutral_cadence": 1,
    "layer_calibration_steps": 1,
    "calibration_batches": 0,
    "calibration_observations": 0,
    "calibration_seconds": 9.5367431640625e-07,
    "extra_equilibrium_phases_for_predictor": 0,
    "predictor_neutral_source": "existing_first_EP_phase",
    "bias_ratio_normalization": "experimenter_initial_clean_layer_state_difference_rms",
    "bias_ratio_normalization_visible_to_predictor": false,
    "epochs": 3,
    "train_limit": 10000,
    "test_limit": 2000,
    "evaluation_split": "train_holdout",
    "data_seed": 6100,
    "batch_size": 128,
    "training_iterations": 12,
    "inference_iterations": 30,
    "seed": 1991,
    "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": 0.6299,
      "train_cost": 0.28678773560523985,
      "test_accuracy": 0.757,
      "test_cost": 0.21466482257843017,
      "finite": true,
      "corrector": {
        "step": 78,
        "clean_state_difference_rms": 0.0026049790793285905,
        "bias_state_difference_rms": 8.394004418328762e-05,
        "residual_state_difference_rms": 0.0,
        "bias_to_clean_state_difference_rms": 0.032222924494626805,
        "residual_to_clean_state_difference_rms": 0.0,
        "neutral_observations": 0
      },
      "wall_seconds": 12.465707540512085
    },
    {
      "epoch": 2,
      "train_accuracy": 0.7968,
      "train_cost": 0.18357751140594483,
      "test_accuracy": 0.805,
      "test_cost": 0.1778689308166504,
      "finite": true,
      "corrector": {
        "step": 157,
        "clean_state_difference_rms": 0.005167988524962169,
        "bias_state_difference_rms": 8.633734883625906e-05,
        "residual_state_difference_rms": 0.0,
        "bias_to_clean_state_difference_rms": 0.016706180445106748,
        "residual_to_clean_state_difference_rms": 0.0,
        "neutral_observations": 0
      },
      "wall_seconds": 24.659721612930298
    },
    {
      "epoch": 3,
      "train_accuracy": 0.8006,
      "train_cost": 0.18363067059516908,
      "test_accuracy": 0.66,
      "test_cost": 0.31295693683624265,
      "finite": true,
      "corrector": {
        "step": 236,
        "clean_state_difference_rms": 0.008770489987991693,
        "bias_state_difference_rms": 7.464204361950914e-05,
        "residual_state_difference_rms": 0.0,
        "bias_to_clean_state_difference_rms": 0.008510589912502826,
        "residual_to_clean_state_difference_rms": 0.0,
        "neutral_observations": 0
      },
      "wall_seconds": 36.85823035240173
    }
  ],
  "epochs_completed": 3,
  "final": {
    "epoch": 3,
    "train_accuracy": 0.8006,
    "train_cost": 0.18363067059516908,
    "test_accuracy": 0.66,
    "test_cost": 0.31295693683624265,
    "finite": true,
    "corrector": {
      "step": 236,
      "clean_state_difference_rms": 0.008770489987991693,
      "bias_state_difference_rms": 7.464204361950914e-05,
      "residual_state_difference_rms": 0.0,
      "bias_to_clean_state_difference_rms": 0.008510589912502826,
      "residual_to_clean_state_difference_rms": 0.0,
      "neutral_observations": 0
    },
    "wall_seconds": 36.85823035240173
  }
}