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path: root/results/ep_bias/c1/rain-ep-c1-s1992-clean.json
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{
  "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": "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,
    "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": 1992,
    "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": "7",
    "device_name": "NVIDIA GeForce GTX 1080"
  },
  "metrics": [
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  "epochs_completed": 3,
  "final": {
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}