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+{
+ "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": "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,
+ "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": 0.5584,
+ "train_cost": 0.3354787145137787,
+ "test_accuracy": 0.723,
+ "test_cost": 0.2427797203063965,
+ "finite": true,
+ "corrector": {
+ "step": 78,
+ "clean_state_difference_rms": 0.0022691467986172575,
+ "bias_state_difference_rms": 7.881086208457053e-05,
+ "residual_state_difference_rms": 0.0,
+ "bias_to_clean_state_difference_rms": 0.03473149561438477,
+ "residual_to_clean_state_difference_rms": 0.0,
+ "neutral_observations": 0
+ },
+ "wall_seconds": 11.318737745285034
+ },
+ {
+ "epoch": 2,
+ "train_accuracy": 0.7453,
+ "train_cost": 0.21748591256141664,
+ "test_accuracy": 0.7545,
+ "test_cost": 0.21152253246307373,
+ "finite": true,
+ "corrector": {
+ "step": 157,
+ "clean_state_difference_rms": 0.002886418573836258,
+ "bias_state_difference_rms": 8.131759496456635e-05,
+ "residual_state_difference_rms": 0.0,
+ "bias_to_clean_state_difference_rms": 0.028172488807293606,
+ "residual_to_clean_state_difference_rms": 0.0,
+ "neutral_observations": 0
+ },
+ "wall_seconds": 22.1633780002594
+ },
+ {
+ "epoch": 3,
+ "train_accuracy": 0.7806,
+ "train_cost": 0.19335412440299987,
+ "test_accuracy": 0.781,
+ "test_cost": 0.20642725276947022,
+ "finite": true,
+ "corrector": {
+ "step": 236,
+ "clean_state_difference_rms": 0.0031325675330604514,
+ "bias_state_difference_rms": 7.640068624454531e-05,
+ "residual_state_difference_rms": 0.0,
+ "bias_to_clean_state_difference_rms": 0.024389158553879114,
+ "residual_to_clean_state_difference_rms": 0.0,
+ "neutral_observations": 0
+ },
+ "wall_seconds": 33.032013177871704
+ }
+ ],
+ "epochs_completed": 3,
+ "final": {
+ "epoch": 3,
+ "train_accuracy": 0.7806,
+ "train_cost": 0.19335412440299987,
+ "test_accuracy": 0.781,
+ "test_cost": 0.20642725276947022,
+ "finite": true,
+ "corrector": {
+ "step": 236,
+ "clean_state_difference_rms": 0.0031325675330604514,
+ "bias_state_difference_rms": 7.640068624454531e-05,
+ "residual_state_difference_rms": 0.0,
+ "bias_to_clean_state_difference_rms": 0.024389158553879114,
+ "residual_to_clean_state_difference_rms": 0.0,
+ "neutral_observations": 0
+ },
+ "wall_seconds": 33.032013177871704
+ }
+}