From d8fe36a0c44fd45edb6a637d3530fdaeeca74fd5 Mon Sep 17 00:00:00 2001 From: YurenHao0426 Date: Thu, 6 Aug 2026 17:15:51 -0500 Subject: results: audit Rain EP bias confirmation --- results/ep_bias/c1/rain-ep-c1-s1991-clean.json | 89 ++++++++++++++++++++++++++ 1 file changed, 89 insertions(+) create mode 100644 results/ep_bias/c1/rain-ep-c1-s1991-clean.json (limited to 'results/ep_bias/c1/rain-ep-c1-s1991-clean.json') diff --git a/results/ep_bias/c1/rain-ep-c1-s1991-clean.json b/results/ep_bias/c1/rain-ep-c1-s1991-clean.json new file mode 100644 index 0000000..55b6d01 --- /dev/null +++ b/results/ep_bias/c1/rain-ep-c1-s1991-clean.json @@ -0,0 +1,89 @@ +{ + "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": 4.76837158203125e-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": 1991, + "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": "5", + "device_name": "NVIDIA GeForce GTX 1080" + }, + "metrics": [ + { + "epoch": 1, + "train_accuracy": 0.6286, + "train_cost": 0.2864802133560181, + "test_accuracy": 0.7565, + "test_cost": 0.2155777521133423, + "finite": true, + "corrector": {}, + "wall_seconds": 11.806015729904175 + }, + { + "epoch": 2, + "train_accuracy": 0.795, + "train_cost": 0.18370667338371277, + "test_accuracy": 0.808, + "test_cost": 0.17455010938644408, + "finite": true, + "corrector": {}, + "wall_seconds": 22.56948685646057 + }, + { + "epoch": 3, + "train_accuracy": 0.7993, + "train_cost": 0.18258129904270173, + "test_accuracy": 0.7485, + "test_cost": 0.22590363597869872, + "finite": true, + "corrector": {}, + "wall_seconds": 33.01645755767822 + } + ], + "epochs_completed": 3, + "final": { + "epoch": 3, + "train_accuracy": 0.7993, + "train_cost": 0.18258129904270173, + "test_accuracy": 0.7485, + "test_cost": 0.22590363597869872, + "finite": true, + "corrector": {}, + "wall_seconds": 33.01645755767822 + } +} -- cgit v1.2.3