results: close Rain parameter-bias screen

1 files changed, 55 insertions, 0 deletions

diff --git a/results/ep_bias/s0/innovation-r0p1-s1988.json b/results/ep_bias/s0/innovation-r0p1-s1988.json
new file mode 100644
index 0000000..d2d3d7d
--- /dev/null
+++ b/results/ep_bias/s0/innovation-r0p1-s1988.json
@@ -0,0 +1,55 @@
+{
+  "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": 0.1,
+    "neutral_cadence": 1,
+    "epochs": 1,
+    "train_limit": 2048,
+    "test_limit": 1024,
+    "batch_size": 128,
+    "training_iterations": 12,
+    "inference_iterations": 30,
+    "seed": 1988,
+    "device": "cuda",
+    "autodiff_used_for_learning": false
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.091796875,
+      "train_cost": 36.51505360752344,
+      "test_accuracy": 0.0888671875,
+      "test_cost": 21.987444400787354,
+      "corrector": {
+        "step": 15,
+        "bias_rms": 0.3794106056369348,
+        "residual_bias_rms": 0.07425886161183246,
+        "neutral_observations": 16
+      },
+      "wall_seconds": 3.1449007987976074
+    }
+  ],
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.091796875,
+    "train_cost": 36.51505360752344,
+    "test_accuracy": 0.0888671875,
+    "test_cost": 21.987444400787354,
+    "corrector": {
+      "step": 15,
+      "bias_rms": 0.3794106056369348,
+      "residual_bias_rms": 0.07425886161183246,
+      "neutral_observations": 16
+    },
+    "wall_seconds": 3.1449007987976074
+  }
+}