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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/raw-e10-n10k-r0p1-s1988.json | |
| parent | 2e2d166f5ee63526fa99bec3a82320c365f76f62 (diff) | |
results: close Rain parameter-bias screen
Diffstat (limited to 'results/ep_bias/s0/raw-e10-n10k-r0p1-s1988.json')
| -rw-r--r-- | results/ep_bias/s0/raw-e10-n10k-r0p1-s1988.json | 184 |
1 files changed, 184 insertions, 0 deletions
diff --git a/results/ep_bias/s0/raw-e10-n10k-r0p1-s1988.json b/results/ep_bias/s0/raw-e10-n10k-r0p1-s1988.json new file mode 100644 index 0000000..525a406 --- /dev/null +++ b/results/ep_bias/s0/raw-e10-n10k-r0p1-s1988.json @@ -0,0 +1,184 @@ +{ + "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": "raw", + "bias_ratio": 0.1, + "predictor_rate": 0.5, + "neutral_cadence": 1, + "calibration_batches": 0, + "calibration_observations": 0, + "calibration_seconds": 9.5367431640625e-07, + "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": 0.1071, + "train_cost": Infinity, + "test_accuracy": 0.0975, + "test_cost": Infinity, + "corrector": { + "step": 78, + "bias_rms": 0.3415999531602568, + "residual_bias_rms": 0.3415964210677949, + "neutral_observations": 0 + }, + "wall_seconds": 11.622666597366333 + }, + { + "epoch": 2, + "train_accuracy": 0.1007, + "train_cost": NaN, + "test_accuracy": 0.1, + "test_cost": NaN, + "corrector": { + "step": 157, + "bias_rms": NaN, + "residual_bias_rms": NaN, + "neutral_observations": 0 + }, + "wall_seconds": 22.90173840522766 + }, + { + "epoch": 3, + "train_accuracy": 0.0998, + "train_cost": NaN, + "test_accuracy": 0.1, + "test_cost": NaN, + "corrector": { + "step": 236, + "bias_rms": NaN, + "residual_bias_rms": NaN, + "neutral_observations": 0 + }, + "wall_seconds": 34.41933536529541 + }, + { + "epoch": 4, + "train_accuracy": 0.0998, + "train_cost": NaN, + "test_accuracy": 0.1, + "test_cost": NaN, + "corrector": { + "step": 315, + "bias_rms": NaN, + "residual_bias_rms": NaN, + "neutral_observations": 0 + }, + "wall_seconds": 45.80214977264404 + }, + { + "epoch": 5, + "train_accuracy": 0.0998, + "train_cost": NaN, + "test_accuracy": 0.1, + "test_cost": NaN, + "corrector": { + "step": 394, + "bias_rms": NaN, + "residual_bias_rms": NaN, + "neutral_observations": 0 + }, + "wall_seconds": 57.108524799346924 + }, + { + "epoch": 6, + "train_accuracy": 0.0998, + "train_cost": NaN, + "test_accuracy": 0.1, + "test_cost": NaN, + "corrector": { + "step": 473, + "bias_rms": NaN, + "residual_bias_rms": NaN, + "neutral_observations": 0 + }, + "wall_seconds": 68.29873561859131 + }, + { + "epoch": 7, + "train_accuracy": 0.0998, + "train_cost": NaN, + "test_accuracy": 0.1, + "test_cost": NaN, + "corrector": { + "step": 552, + "bias_rms": NaN, + "residual_bias_rms": NaN, + "neutral_observations": 0 + }, + "wall_seconds": 79.4986264705658 + }, + { + "epoch": 8, + "train_accuracy": 0.0998, + "train_cost": NaN, + "test_accuracy": 0.1, + "test_cost": NaN, + "corrector": { + "step": 631, + "bias_rms": NaN, + "residual_bias_rms": NaN, + "neutral_observations": 0 + }, + "wall_seconds": 90.94485807418823 + }, + { + "epoch": 9, + "train_accuracy": 0.0998, + "train_cost": NaN, + "test_accuracy": 0.1, + "test_cost": NaN, + "corrector": { + "step": 710, + "bias_rms": NaN, + "residual_bias_rms": NaN, + "neutral_observations": 0 + }, + "wall_seconds": 102.26402354240417 + }, + { + "epoch": 10, + "train_accuracy": 0.0998, + "train_cost": NaN, + "test_accuracy": 0.1, + "test_cost": NaN, + "corrector": { + "step": 789, + "bias_rms": NaN, + "residual_bias_rms": NaN, + "neutral_observations": 0 + }, + "wall_seconds": 113.47600293159485 + } + ], + "final": { + "epoch": 10, + "train_accuracy": 0.0998, + "train_cost": NaN, + "test_accuracy": 0.1, + "test_cost": NaN, + "corrector": { + "step": 789, + "bias_rms": NaN, + "residual_bias_rms": NaN, + "neutral_observations": 0 + }, + "wall_seconds": 113.47600293159485 + } +} |
