{ "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": [ { "epoch": 1, "train_accuracy": 0.6273, "train_cost": 0.29040815691947935, "test_accuracy": 0.739, "test_cost": 0.21597536087036132, "finite": true, "corrector": {}, "wall_seconds": 11.267897367477417 }, { "epoch": 2, "train_accuracy": 0.7806, "train_cost": 0.19002434031963347, "test_accuracy": 0.784, "test_cost": 0.19156996774673463, "finite": true, "corrector": {}, "wall_seconds": 21.94326090812683 }, { "epoch": 3, "train_accuracy": 0.8296, "train_cost": 0.1646257798910141, "test_accuracy": 0.8, "test_cost": 0.19138924407958985, "finite": true, "corrector": {}, "wall_seconds": 32.553590059280396 } ], "epochs_completed": 3, "final": { "epoch": 3, "train_accuracy": 0.8296, "train_cost": 0.1646257798910141, "test_accuracy": 0.8, "test_cost": 0.19138924407958985, "finite": true, "corrector": {}, "wall_seconds": 32.553590059280396 } }