From 038e97b684b7b460dedec3018677729f956ac691 Mon Sep 17 00:00:00 2001 From: YurenHao0426 Date: Thu, 6 Aug 2026 17:00:59 -0500 Subject: results: validate Rain layer-state mechanism --- .../ep_bias/s1/layer-constant-r0p1-e3-s1988.json | 106 +++++++++++++++++++++ 1 file changed, 106 insertions(+) create mode 100644 results/ep_bias/s1/layer-constant-r0p1-e3-s1988.json (limited to 'results/ep_bias/s1/layer-constant-r0p1-e3-s1988.json') diff --git a/results/ep_bias/s1/layer-constant-r0p1-e3-s1988.json b/results/ep_bias/s1/layer-constant-r0p1-e3-s1988.json new file mode 100644 index 0000000..dad16f5 --- /dev/null +++ b/results/ep_bias/s1/layer-constant-r0p1-e3-s1988.json @@ -0,0 +1,106 @@ +{ + "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": "constant", + "bias_ratio": 0.1, + "predictor_rate": 0.2, + "neutral_cadence": 1, + "layer_calibration_steps": 1, + "calibration_batches": 0, + "calibration_observations": 0, + "calibration_seconds": 4.76837158203125e-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": 0.1101, + "train_cost": 0.5406586401939392, + "test_accuracy": 0.0985, + "test_cost": 0.5743606986999512, + "finite": true, + "corrector": { + "step": 78, + "clean_state_difference_rms": 0.0026653360674050563, + "bias_state_difference_rms": 0.0008354981837576119, + "residual_state_difference_rms": 0.0009511466295866758, + "bias_to_clean_state_difference_rms": 0.3134682316331855, + "residual_to_clean_state_difference_rms": 0.356858049241311, + "neutral_observations": 128 + }, + "wall_seconds": 11.139351844787598 + }, + { + "epoch": 2, + "train_accuracy": 0.101, + "train_cost": 0.5405060306549072, + "test_accuracy": 0.0985, + "test_cost": 0.5631736030578613, + "finite": true, + "corrector": { + "step": 157, + "clean_state_difference_rms": 0.002972019905486441, + "bias_state_difference_rms": 0.0009809527816267104, + "residual_state_difference_rms": 0.0010539141121602908, + "bias_to_clean_state_difference_rms": 0.3300626553058548, + "residual_to_clean_state_difference_rms": 0.3546120637397928, + "neutral_observations": 128 + }, + "wall_seconds": 21.776801109313965 + }, + { + "epoch": 3, + "train_accuracy": 0.1015, + "train_cost": 0.5353086183547974, + "test_accuracy": 0.0985, + "test_cost": 0.5520355472564697, + "finite": true, + "corrector": { + "step": 236, + "clean_state_difference_rms": 0.002808309689352526, + "bias_state_difference_rms": 0.0009608045527965721, + "residual_state_difference_rms": 0.0010381629161631783, + "bias_to_clean_state_difference_rms": 0.3421291307149575, + "residual_to_clean_state_difference_rms": 0.36967536739245216, + "neutral_observations": 128 + }, + "wall_seconds": 32.33472681045532 + } + ], + "epochs_completed": 3, + "final": { + "epoch": 3, + "train_accuracy": 0.1015, + "train_cost": 0.5353086183547974, + "test_accuracy": 0.0985, + "test_cost": 0.5520355472564697, + "finite": true, + "corrector": { + "step": 236, + "clean_state_difference_rms": 0.002808309689352526, + "bias_state_difference_rms": 0.0009608045527965721, + "residual_state_difference_rms": 0.0010381629161631783, + "bias_to_clean_state_difference_rms": 0.3421291307149575, + "residual_to_clean_state_difference_rms": 0.36967536739245216, + "neutral_observations": 128 + }, + "wall_seconds": 32.33472681045532 + } +} -- cgit v1.2.3