{ "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 } }