results: validate Rain layer-state mechanism

1 files changed, 106 insertions, 0 deletions

diff --git a/results/ep_bias/s1/layer-raw-r0p01-e3-s1988.json b/results/ep_bias/s1/layer-raw-r0p01-e3-s1988.json
new file mode 100644
index 0000000..1378182
--- /dev/null
+++ b/results/ep_bias/s1/layer-raw-r0p01-e3-s1988.json
@@ -0,0 +1,106 @@
+{
+  "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",
+    "adapter": "layer",
+    "mode": "raw",
+    "bias_ratio": 0.01,
+    "predictor_rate": 0.2,
+    "neutral_cadence": 1,
+    "layer_calibration_steps": 1,
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "epochs": 3,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "batch_size": 128,
+    "training_iterations": 12,
+    "inference_iterations": 30,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "author_default",
+    "autodiff_used_for_learning": false
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.528,
+      "train_cost": 0.3528723662376404,
+      "test_accuracy": 0.6075,
+      "test_cost": 0.3228737697601318,
+      "finite": true,
+      "corrector": {
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+        "clean_state_difference_rms": 0.002115219847803807,
+        "bias_state_difference_rms": 7.767001341564045e-05,
+        "residual_state_difference_rms": 7.767001289677622e-05,
+        "bias_to_clean_state_difference_rms": 0.0367195937085612,
+        "residual_to_clean_state_difference_rms": 0.03671959346326082,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 10.98665165901184
+    },
+    {
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+      "train_accuracy": 0.5871,
+      "train_cost": 0.33089104804992675,
+      "test_accuracy": 0.2775,
+      "test_cost": 0.6092092704772949,
+      "finite": true,
+      "corrector": {
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+        "clean_state_difference_rms": 0.0026018320295759056,
+        "bias_state_difference_rms": 8.50572839998886e-05,
+        "residual_state_difference_rms": 8.505727594527833e-05,
+        "bias_to_clean_state_difference_rms": 0.032691304831754565,
+        "residual_to_clean_state_difference_rms": 0.032691301736008885,
+        "neutral_observations": 0
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+      "wall_seconds": 21.641644954681396
+    },
+    {
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+      "train_cost": 0.3959053112506866,
+      "test_accuracy": 0.493,
+      "test_cost": 0.44283706092834474,
+      "finite": true,
+      "corrector": {
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+        "clean_state_difference_rms": 0.0024997862085207757,
+        "bias_state_difference_rms": 6.673162402742633e-05,
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+        "bias_to_clean_state_difference_rms": 0.026694932470610805,
+        "residual_to_clean_state_difference_rms": 0.026694932470610805,
+        "neutral_observations": 0
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+      "wall_seconds": 32.270538091659546
+    }
+  ],
+  "epochs_completed": 3,
+  "final": {
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+    "train_accuracy": 0.469,
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+    "test_accuracy": 0.493,
+    "test_cost": 0.44283706092834474,
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+    "corrector": {
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+      "clean_state_difference_rms": 0.0024997862085207757,
+      "bias_state_difference_rms": 6.673162402742633e-05,
+      "residual_state_difference_rms": 6.673162402742633e-05,
+      "bias_to_clean_state_difference_rms": 0.026694932470610805,
+      "residual_to_clean_state_difference_rms": 0.026694932470610805,
+      "neutral_observations": 0
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+    "wall_seconds": 32.270538091659546
+  }
+}