From d686f83aa35c2f1d87adfb5705ff02abe1901e9d Mon Sep 17 00:00:00 2001
From: YurenHao0426 <Blackhao0426@gmail.com>
Date: Thu, 6 Aug 2026 16:54:15 -0500
Subject: results: close Rain parameter-bias screen

---
 results/ep_bias/s0/clean-e10-n10k-s1988.json | 126 +++++++++++++++++++++++++++
 1 file changed, 126 insertions(+)
 create mode 100644 results/ep_bias/s0/clean-e10-n10k-s1988.json

(limited to 'results/ep_bias/s0/clean-e10-n10k-s1988.json')

diff --git a/results/ep_bias/s0/clean-e10-n10k-s1988.json b/results/ep_bias/s0/clean-e10-n10k-s1988.json
new file mode 100644
index 0000000..475a617
--- /dev/null
+++ b/results/ep_bias/s0/clean-e10-n10k-s1988.json
@@ -0,0 +1,126 @@
+{
+  "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": "clean",
+    "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": 0.3355503407716751,
+      "test_accuracy": 0.722,
+      "test_cost": 0.24163379001617433,
+      "corrector": {},
+      "wall_seconds": 11.405615091323853
+    },
+    {
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+      "train_cost": 0.21702155234813691,
+      "test_accuracy": 0.756,
+      "test_cost": 0.20703493213653565,
+      "corrector": {},
+      "wall_seconds": 22.36668634414673
+    },
+    {
+      "epoch": 3,
+      "train_accuracy": 0.7798,
+      "train_cost": 0.19300989089012147,
+      "test_accuracy": 0.776,
+      "test_cost": 0.21055334758758545,
+      "corrector": {},
+      "wall_seconds": 33.295944929122925
+    },
+    {
+      "epoch": 4,
+      "train_accuracy": 0.8009,
+      "train_cost": 0.17924391040802,
+      "test_accuracy": 0.794,
+      "test_cost": 0.1808237886428833,
+      "corrector": {},
+      "wall_seconds": 44.269885540008545
+    },
+    {
+      "epoch": 5,
+      "train_accuracy": 0.8074,
+      "train_cost": 0.17351567885875702,
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+      "test_cost": 0.18509451150894166,
+      "corrector": {},
+      "wall_seconds": 55.17997479438782
+    },
+    {
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+      "train_cost": 0.1753193419456482,
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+      "test_cost": 0.17388172912597658,
+      "corrector": {},
+      "wall_seconds": 66.0923342704773
+    },
+    {
+      "epoch": 7,
+      "train_accuracy": 0.7911,
+      "train_cost": 0.18687947034835817,
+      "test_accuracy": 0.7235,
+      "test_cost": 0.24670183801651002,
+      "corrector": {},
+      "wall_seconds": 76.80004978179932
+    },
+    {
+      "epoch": 8,
+      "train_accuracy": 0.7617,
+      "train_cost": 0.20953419308662413,
+      "test_accuracy": 0.7295,
+      "test_cost": 0.22023605728149415,
+      "corrector": {},
+      "wall_seconds": 87.47067832946777
+    },
+    {
+      "epoch": 9,
+      "train_accuracy": 0.743,
+      "train_cost": 0.22485768053531646,
+      "test_accuracy": 0.7945,
+      "test_cost": 0.17666864824295045,
+      "corrector": {},
+      "wall_seconds": 98.16256976127625
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+    {
+      "epoch": 10,
+      "train_accuracy": 0.7335,
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+      "test_accuracy": 0.7905,
+      "test_cost": 0.214750789642334,
+      "corrector": {},
+      "wall_seconds": 108.77900886535645
+    }
+  ],
+  "final": {
+    "epoch": 10,
+    "train_accuracy": 0.7335,
+    "train_cost": 0.22999076027870177,
+    "test_accuracy": 0.7905,
+    "test_cost": 0.214750789642334,
+    "corrector": {},
+    "wall_seconds": 108.77900886535645
+  }
+}
-- 
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