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 --- results/ep_bias/s1/layer-raw-r0p01-e3-s1988.json | 106 +++++++++++++++++++++++ 1 file changed, 106 insertions(+) create mode 100644 results/ep_bias/s1/layer-raw-r0p01-e3-s1988.json (limited to 'results/ep_bias/s1/layer-raw-r0p01-e3-s1988.json') diff --git a/results/ep_bias/s1/layer-raw-r0p01-e3-s1988.json b/results/ep_bias/s1/layer-raw-r0p01-e3-s1988.json new file mode 100644 index 0000000..1378182 --- /dev/null +++ b/results/ep_bias/s1/layer-raw-r0p01-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": "raw", + "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, + "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": 0.528, + "train_cost": 0.3528723662376404, + "test_accuracy": 0.6075, + "test_cost": 0.3228737697601318, + "finite": true, + "corrector": { + "step": 78, + "clean_state_difference_rms": 0.002115219847803807, + "bias_state_difference_rms": 7.767001341564045e-05, + "residual_state_difference_rms": 7.767001289677622e-05, + "bias_to_clean_state_difference_rms": 0.0367195937085612, + "residual_to_clean_state_difference_rms": 0.03671959346326082, + "neutral_observations": 0 + }, + "wall_seconds": 10.98665165901184 + }, + { + "epoch": 2, + "train_accuracy": 0.5871, + "train_cost": 0.33089104804992675, + "test_accuracy": 0.2775, + "test_cost": 0.6092092704772949, + "finite": true, + "corrector": { + "step": 157, + "clean_state_difference_rms": 0.0026018320295759056, + "bias_state_difference_rms": 8.50572839998886e-05, + "residual_state_difference_rms": 8.505727594527833e-05, + "bias_to_clean_state_difference_rms": 0.032691304831754565, + "residual_to_clean_state_difference_rms": 0.032691301736008885, + "neutral_observations": 0 + }, + "wall_seconds": 21.641644954681396 + }, + { + "epoch": 3, + "train_accuracy": 0.469, + "train_cost": 0.3959053112506866, + "test_accuracy": 0.493, + "test_cost": 0.44283706092834474, + "finite": true, + "corrector": { + "step": 236, + "clean_state_difference_rms": 0.0024997862085207757, + "bias_state_difference_rms": 6.673162402742633e-05, + "residual_state_difference_rms": 6.673162402742633e-05, + "bias_to_clean_state_difference_rms": 0.026694932470610805, + "residual_to_clean_state_difference_rms": 0.026694932470610805, + "neutral_observations": 0 + }, + "wall_seconds": 32.270538091659546 + } + ], + "epochs_completed": 3, + "final": { + "epoch": 3, + "train_accuracy": 0.469, + "train_cost": 0.3959053112506866, + "test_accuracy": 0.493, + "test_cost": 0.44283706092834474, + "finite": true, + "corrector": { + "step": 236, + "clean_state_difference_rms": 0.0024997862085207757, + "bias_state_difference_rms": 6.673162402742633e-05, + "residual_state_difference_rms": 6.673162402742633e-05, + "bias_to_clean_state_difference_rms": 0.026694932470610805, + "residual_to_clean_state_difference_rms": 0.026694932470610805, + "neutral_observations": 0 + }, + "wall_seconds": 32.270538091659546 + } +} -- cgit v1.2.3