diff options
| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-06 16:54:15 -0500 |
|---|---|---|
| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-06 16:54:15 -0500 |
| commit | d686f83aa35c2f1d87adfb5705ff02abe1901e9d (patch) | |
| tree | f38642e62c6307d2a7ab6dc25ef8241897f09f3e /results/ep_bias/s0/innovation-e10-n10k-r0p1-p0p5-s1988.json | |
| parent | 2e2d166f5ee63526fa99bec3a82320c365f76f62 (diff) | |
results: close Rain parameter-bias screen
Diffstat (limited to 'results/ep_bias/s0/innovation-e10-n10k-r0p1-p0p5-s1988.json')
| -rw-r--r-- | results/ep_bias/s0/innovation-e10-n10k-r0p1-p0p5-s1988.json | 181 |
1 files changed, 181 insertions, 0 deletions
diff --git a/results/ep_bias/s0/innovation-e10-n10k-r0p1-p0p5-s1988.json b/results/ep_bias/s0/innovation-e10-n10k-r0p1-p0p5-s1988.json new file mode 100644 index 0000000..ef96efb --- /dev/null +++ b/results/ep_bias/s0/innovation-e10-n10k-r0p1-p0p5-s1988.json @@ -0,0 +1,181 @@ +{ + "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", + "mode": "innovation", + "bias_ratio": 0.1, + "predictor_rate": 0.5, + "neutral_cadence": 1, + "epochs": 10, + "train_limit": 10000, + "test_limit": 2000, + "batch_size": 128, + "training_iterations": 12, + "inference_iterations": 30, + "seed": 1988, + "device": "cuda", + "autodiff_used_for_learning": false + }, + "metrics": [ + { + "epoch": 1, + "train_accuracy": 0.3408, + "train_cost": 0.47384458227157594, + "test_accuracy": 0.42, + "test_cost": 0.37278260707855226, + "corrector": { + "step": 78, + "bias_rms": 0.3384595278957517, + "residual_bias_rms": 0.0003390406655024765, + "neutral_observations": 79 + }, + "wall_seconds": 11.675736904144287 + }, + { + "epoch": 2, + "train_accuracy": 0.5094, + "train_cost": 0.3401431111335754, + "test_accuracy": 0.5565, + "test_cost": 0.3222064075469971, + "corrector": { + "step": 157, + "bias_rms": 0.33867591525076285, + "residual_bias_rms": 0.0006381201415729012, + "neutral_observations": 158 + }, + "wall_seconds": 22.849661111831665 + }, + { + "epoch": 3, + "train_accuracy": 0.5561, + "train_cost": 0.3127460803031921, + "test_accuracy": 0.5755, + "test_cost": 0.3063052263259888, + "corrector": { + "step": 236, + "bias_rms": 0.33282946759190735, + "residual_bias_rms": 0.003853879394199066, + "neutral_observations": 237 + }, + "wall_seconds": 34.0440776348114 + }, + { + "epoch": 4, + "train_accuracy": 0.5793, + "train_cost": 0.3015108179330826, + "test_accuracy": 0.516, + "test_cost": 0.3337612657546997, + "corrector": { + "step": 315, + "bias_rms": 0.3388571279218333, + "residual_bias_rms": 0.0008778448302674236, + "neutral_observations": 316 + }, + "wall_seconds": 45.400556564331055 + }, + { + "epoch": 5, + "train_accuracy": 0.597, + "train_cost": 0.29351283955574037, + "test_accuracy": 0.6125, + "test_cost": 0.2835716485977173, + "corrector": { + "step": 394, + "bias_rms": 0.3389869707381054, + "residual_bias_rms": 0.0003262544622655439, + "neutral_observations": 395 + }, + "wall_seconds": 56.56174874305725 + }, + { + "epoch": 6, + "train_accuracy": 0.5962, + "train_cost": 0.2893466127872467, + "test_accuracy": 0.6035, + "test_cost": 0.2866725702285767, + "corrector": { + "step": 473, + "bias_rms": 0.33946382802614394, + "residual_bias_rms": 0.0009063598347171393, + "neutral_observations": 474 + }, + "wall_seconds": 67.69641947746277 + }, + { + "epoch": 7, + "train_accuracy": 0.6101, + "train_cost": 0.2847333909034729, + "test_accuracy": 0.603, + "test_cost": 0.29755043601989745, + "corrector": { + "step": 552, + "bias_rms": 0.33846834169281953, + "residual_bias_rms": 0.0004446616492402701, + "neutral_observations": 553 + }, + "wall_seconds": 78.8773238658905 + }, + { + "epoch": 8, + "train_accuracy": 0.6088, + "train_cost": 0.2859113718986511, + "test_accuracy": 0.5395, + "test_cost": 0.31308020877838133, + "corrector": { + "step": 631, + "bias_rms": 0.33757564693087944, + "residual_bias_rms": 0.0008794316268753372, + "neutral_observations": 632 + }, + "wall_seconds": 90.03160214424133 + }, + { + "epoch": 9, + "train_accuracy": 0.6056, + "train_cost": 0.2867964228630066, + "test_accuracy": 0.573, + "test_cost": 0.2860424633026123, + "corrector": { + "step": 710, + "bias_rms": 0.3357947618808101, + "residual_bias_rms": 0.0021009594326586857, + "neutral_observations": 711 + }, + "wall_seconds": 101.36336159706116 + }, + { + "epoch": 10, + "train_accuracy": 0.62, + "train_cost": 0.2777786167383194, + "test_accuracy": 0.6295, + "test_cost": 0.26768371391296386, + "corrector": { + "step": 789, + "bias_rms": 0.3385132732724078, + "residual_bias_rms": 0.00048530249773301345, + "neutral_observations": 790 + }, + "wall_seconds": 112.44643831253052 + } + ], + "final": { + "epoch": 10, + "train_accuracy": 0.62, + "train_cost": 0.2777786167383194, + "test_accuracy": 0.6295, + "test_cost": 0.26768371391296386, + "corrector": { + "step": 789, + "bias_rms": 0.3385132732724078, + "residual_bias_rms": 0.00048530249773301345, + "neutral_observations": 790 + }, + "wall_seconds": 112.44643831253052 + } +} |
