results: validate Rain layer-state mechanism

1 files changed, 106 insertions, 0 deletions

diff --git a/results/ep_bias/s1/layer-noise-r0p01-e3-s1988.json b/results/ep_bias/s1/layer-noise-r0p01-e3-s1988.json
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index 0000000..319055d
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+++ b/results/ep_bias/s1/layer-noise-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": "same_rms_noise",
+    "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": 0.5577,
+      "train_cost": 0.33517942011356355,
+      "test_accuracy": 0.725,
+      "test_cost": 0.2407160577774048,
+      "finite": true,
+      "corrector": {
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+        "clean_state_difference_rms": 0.002284858699245255,
+        "bias_state_difference_rms": 7.888106416418362e-05,
+        "residual_state_difference_rms": 7.92408299173491e-05,
+        "bias_to_clean_state_difference_rms": 0.034523388334797234,
+        "residual_to_clean_state_difference_rms": 0.0346808447907629,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 10.741658210754395
+    },
+    {
+      "epoch": 2,
+      "train_accuracy": 0.7468,
+      "train_cost": 0.21608753056526184,
+      "test_accuracy": 0.757,
+      "test_cost": 0.207110125541687,
+      "finite": true,
+      "corrector": {
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+        "clean_state_difference_rms": 0.0029362952271972005,
+        "bias_state_difference_rms": 8.082260576450551e-05,
+        "residual_state_difference_rms": 8.414020609417264e-05,
+        "bias_to_clean_state_difference_rms": 0.027525367686427635,
+        "residual_to_clean_state_difference_rms": 0.02865522693863706,
+        "neutral_observations": 0
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+    {
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+      "test_accuracy": 0.7765,
+      "test_cost": 0.20104266738891602,
+      "finite": true,
+      "corrector": {
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+        "clean_state_difference_rms": 0.0028531605170621257,
+        "bias_state_difference_rms": 7.650330356103333e-05,
+        "residual_state_difference_rms": 7.797371328954984e-05,
+        "bias_to_clean_state_difference_rms": 0.026813529453929254,
+        "residual_to_clean_state_difference_rms": 0.027328891179890114,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 31.844523668289185
+    }
+  ],
+  "epochs_completed": 3,
+  "final": {
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+    "train_accuracy": 0.7821,
+    "train_cost": 0.19308365321159363,
+    "test_accuracy": 0.7765,
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+    "finite": true,
+    "corrector": {
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+      "bias_state_difference_rms": 7.650330356103333e-05,
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+      "neutral_observations": 0
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+  }
+}