{
  "schema": "rain_ep_structured_bias_screen_v1",
  "sdil": {
    "revision": "c959c50eaeb932f96339a96fb42abfb247cc5aac"
  },
  "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": "centered",
    "beta_seed": 7100,
    "beta_value": 0.25,
    "adapter": "dillavou",
    "mode": "clean",
    "bias_ratio": 1.0,
    "dillavou_drift_ratio": 0.0,
    "dillavou_calibration_steps": 1,
    "dillavou_profile": {
      "normalized_offsets": [
        0.9356214982615908,
        1.6020613079954447,
        -0.10013991355431538,
        0.7402593971899275
      ],
      "normalized_state_variations": [
        0.5259526502913017,
        0.31316961348123956,
        0.3831972460091073,
        -0.04782433762159926
      ],
      "source": "/home/yurenh2/sdil/results/physical_bias/p0_state_dependence.json"
    },
    "predictor_rate": 1.0,
    "neutral_cadence": 10,
    "layer_calibration_steps": 1,
    "layer_bias_normalization": "clean_difference",
    "calibration_batches": 0,
    "calibration_observations": 0,
    "calibration_seconds": 2.384185791015625e-06,
    "extra_equilibrium_phases_for_predictor": 0,
    "predictor_neutral_source": "instruction_off_local_update_probe",
    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
    "bias_ratio_normalization_visible_to_predictor": false,
    "epochs": 10,
    "train_limit": 60000,
    "test_limit": 10000,
    "evaluation_split": "test",
    "data_seed": 6200,
    "batch_size": 128,
    "training_iterations": 15,
    "inference_iterations": 60,
    "schedule_epochs": 100,
    "seed": 1989,
    "device": "cuda",
    "determinism": "best_effort_warn_only",
    "autodiff_used_for_learning": false
  },
  "hardware": {
    "torch_version": "2.3.1+cu118",
    "torch_cuda_version": "11.8",
    "cuda_visible_devices": "4",
    "device_name": "NVIDIA GeForce GTX 1080"
  },
  "metrics": [
    {
      "epoch": 1,
      "train_accuracy": 0.62995,
      "train_cost": 0.24774755630493164,
      "test_accuracy": 0.785,
      "test_cost": 0.15017734718322753,
      "finite": true,
      "corrector": {},
      "wall_seconds": 791.8711850643158
    },
    {
      "epoch": 2,
      "train_accuracy": 0.8123833333333333,
      "train_cost": 0.14134639674822488,
      "test_accuracy": 0.8323,
      "test_cost": 0.12335672492980956,
      "finite": true,
      "corrector": {},
      "wall_seconds": 1585.6684465408325
    },
    {
      "epoch": 3,
      "train_accuracy": 0.8347,
      "train_cost": 0.12240706000328064,
      "test_accuracy": 0.8527,
      "test_cost": 0.11043169293403625,
      "finite": true,
      "corrector": {},
      "wall_seconds": 2381.7297286987305
    },
    {
      "epoch": 4,
      "train_accuracy": 0.8522666666666666,
      "train_cost": 0.11007866832415263,
      "test_accuracy": 0.8503,
      "test_cost": 0.10634270758628846,
      "finite": true,
      "corrector": {},
      "wall_seconds": 3178.3342180252075
    },
    {
      "epoch": 5,
      "train_accuracy": 0.8600666666666666,
      "train_cost": 0.10362589096228282,
      "test_accuracy": 0.8649,
      "test_cost": 0.09968915002346039,
      "finite": true,
      "corrector": {},
      "wall_seconds": 3975.0621688365936
    },
    {
      "epoch": 6,
      "train_accuracy": 0.86675,
      "train_cost": 0.09925567571322123,
      "test_accuracy": 0.8668,
      "test_cost": 0.09750469102859496,
      "finite": true,
      "corrector": {},
      "wall_seconds": 4771.791045427322
    },
    {
      "epoch": 7,
      "train_accuracy": 0.8730833333333333,
      "train_cost": 0.0941778604666392,
      "test_accuracy": 0.8779,
      "test_cost": 0.08983972749710083,
      "finite": true,
      "corrector": {},
      "wall_seconds": 5568.52526140213
    },
    {
      "epoch": 8,
      "train_accuracy": 0.8776666666666667,
      "train_cost": 0.0916673661549886,
      "test_accuracy": 0.8765,
      "test_cost": 0.08934285793304443,
      "finite": true,
      "corrector": {},
      "wall_seconds": 6365.089915275574
    },
    {
      "epoch": 9,
      "train_accuracy": 0.8824,
      "train_cost": 0.08827614934444428,
      "test_accuracy": 0.8827,
      "test_cost": 0.08754250838756561,
      "finite": true,
      "corrector": {},
      "wall_seconds": 7161.721607923508
    },
    {
      "epoch": 10,
      "train_accuracy": 0.8861833333333333,
      "train_cost": 0.08464979181289672,
      "test_accuracy": 0.888,
      "test_cost": 0.08476702122688294,
      "finite": true,
      "corrector": {},
      "wall_seconds": 7958.297293424606
    }
  ],
  "epochs_completed": 10,
  "beta_sign_counts": {
    "positive": 4690,
    "negative": 4690
  },
  "final": {
    "epoch": 10,
    "train_accuracy": 0.8861833333333333,
    "train_cost": 0.08464979181289672,
    "test_accuracy": 0.888,
    "test_cost": 0.08476702122688294,
    "finite": true,
    "corrector": {},
    "wall_seconds": 7958.297293424606
  }
}