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| 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/oracle-e10-n10k-r0p1-s1988.json | |
| parent | 2e2d166f5ee63526fa99bec3a82320c365f76f62 (diff) | |
results: close Rain parameter-bias screen
Diffstat (limited to 'results/ep_bias/s0/oracle-e10-n10k-r0p1-s1988.json')
| -rw-r--r-- | results/ep_bias/s0/oracle-e10-n10k-r0p1-s1988.json | 181 |
1 files changed, 181 insertions, 0 deletions
diff --git a/results/ep_bias/s0/oracle-e10-n10k-r0p1-s1988.json b/results/ep_bias/s0/oracle-e10-n10k-r0p1-s1988.json new file mode 100644 index 0000000..f119ac8 --- /dev/null +++ b/results/ep_bias/s0/oracle-e10-n10k-r0p1-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": "oracle", + "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": 0.5563, + "train_cost": 0.3355503462076187, + "test_accuracy": 0.722, + "test_cost": 0.24163052654266357, + "corrector": { + "step": 78, + "bias_rms": 0.19641035077769214, + "residual_bias_rms": 0.0, + "neutral_observations": 0 + }, + "wall_seconds": 11.734323978424072 + }, + { + "epoch": 2, + "train_accuracy": 0.7454, + "train_cost": 0.2180826412677765, + "test_accuracy": 0.753, + "test_cost": 0.20646046447753907, + "corrector": { + "step": 157, + "bias_rms": 0.19026153207716437, + "residual_bias_rms": 0.0, + "neutral_observations": 0 + }, + "wall_seconds": 23.243874549865723 + }, + { + "epoch": 3, + "train_accuracy": 0.7805, + "train_cost": 0.19283281302452088, + "test_accuracy": 0.769, + "test_cost": 0.21175542640686035, + "corrector": { + "step": 236, + "bias_rms": 0.1857508573060753, + "residual_bias_rms": 0.0, + "neutral_observations": 0 + }, + "wall_seconds": 34.557533264160156 + }, + { + "epoch": 4, + "train_accuracy": 0.7997, + "train_cost": 0.17962220406532287, + "test_accuracy": 0.7995, + "test_cost": 0.18044371128082276, + "corrector": { + "step": 315, + "bias_rms": 0.188371365806439, + "residual_bias_rms": 0.0, + "neutral_observations": 0 + }, + "wall_seconds": 45.85715174674988 + }, + { + "epoch": 5, + "train_accuracy": 0.8084, + "train_cost": 0.17061298875808717, + "test_accuracy": 0.7715, + "test_cost": 0.1943552770614624, + "corrector": { + "step": 394, + "bias_rms": 0.18117384044480442, + "residual_bias_rms": 0.0, + "neutral_observations": 0 + }, + "wall_seconds": 57.18079376220703 + }, + { + "epoch": 6, + "train_accuracy": 0.8053, + "train_cost": 0.1736909809589386, + "test_accuracy": 0.7745, + "test_cost": 0.20499647521972655, + "corrector": { + "step": 473, + "bias_rms": 0.16895774088602192, + "residual_bias_rms": 0.0, + "neutral_observations": 0 + }, + "wall_seconds": 68.62981796264648 + }, + { + "epoch": 7, + "train_accuracy": 0.7851, + "train_cost": 0.18901907138824464, + "test_accuracy": 0.7605, + "test_cost": 0.20465556144714356, + "corrector": { + "step": 552, + "bias_rms": 0.15647888081878947, + "residual_bias_rms": 0.0, + "neutral_observations": 0 + }, + "wall_seconds": 80.26249694824219 + }, + { + "epoch": 8, + "train_accuracy": 0.7635, + "train_cost": 0.2058239547729492, + "test_accuracy": 0.7845, + "test_cost": 0.17531568050384522, + "corrector": { + "step": 631, + "bias_rms": 0.15182760242203663, + "residual_bias_rms": 0.0, + "neutral_observations": 0 + }, + "wall_seconds": 91.58817911148071 + }, + { + "epoch": 9, + "train_accuracy": 0.7354, + "train_cost": 0.2282166413128376, + "test_accuracy": 0.7465, + "test_cost": 0.22067401599884034, + "corrector": { + "step": 710, + "bias_rms": 0.15169644966726495, + "residual_bias_rms": 0.0, + "neutral_observations": 0 + }, + "wall_seconds": 102.89128541946411 + }, + { + "epoch": 10, + "train_accuracy": 0.7344, + "train_cost": 0.22983354444503784, + "test_accuracy": 0.739, + "test_cost": 0.2605267324447632, + "corrector": { + "step": 789, + "bias_rms": 0.15150278767133962, + "residual_bias_rms": 0.0, + "neutral_observations": 0 + }, + "wall_seconds": 114.20664310455322 + } + ], + "final": { + "epoch": 10, + "train_accuracy": 0.7344, + "train_cost": 0.22983354444503784, + "test_accuracy": 0.739, + "test_cost": 0.2605267324447632, + "corrector": { + "step": 789, + "bias_rms": 0.15150278767133962, + "residual_bias_rms": 0.0, + "neutral_observations": 0 + }, + "wall_seconds": 114.20664310455322 + } +} |
