results: validate Rain layer-state mechanism

1 files changed, 106 insertions, 0 deletions

diff --git a/results/ep_bias/s1/layer-constant-r0p01-e3-s1988.json b/results/ep_bias/s1/layer-constant-r0p01-e3-s1988.json
new file mode 100644
index 0000000..64b32b8
--- /dev/null
+++ b/results/ep_bias/s1/layer-constant-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": "constant",
+    "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": 0.5418,
+      "train_cost": 0.3456231504678726,
+      "test_accuracy": 0.7,
+      "test_cost": 0.27050736045837404,
+      "finite": true,
+      "corrector": {
+        "step": 78,
+        "clean_state_difference_rms": 0.00220518357969036,
+        "bias_state_difference_rms": 8.139695991989966e-05,
+        "residual_state_difference_rms": 8.847031581067554e-05,
+        "bias_to_clean_state_difference_rms": 0.03691164793242701,
+        "residual_to_clean_state_difference_rms": 0.04011925203211339,
+        "neutral_observations": 128
+      },
+      "wall_seconds": 11.041993141174316
+    },
+    {
+      "epoch": 2,
+      "train_accuracy": 0.7203,
+      "train_cost": 0.24094166955947877,
+      "test_accuracy": 0.7095,
+      "test_cost": 0.24668947982788086,
+      "finite": true,
+      "corrector": {
+        "step": 157,
+        "clean_state_difference_rms": 0.0024822016295386524,
+        "bias_state_difference_rms": 8.225247019481232e-05,
+        "residual_state_difference_rms": 8.839977621608799e-05,
+        "bias_to_clean_state_difference_rms": 0.03313690121543428,
+        "residual_to_clean_state_difference_rms": 0.03561345507315543,
+        "neutral_observations": 128
+      },
+      "wall_seconds": 21.79225206375122
+    },
+    {
+      "epoch": 3,
+      "train_accuracy": 0.7258,
+      "train_cost": 0.23920346755981445,
+      "test_accuracy": 0.6295,
+      "test_cost": 0.30114346027374267,
+      "finite": true,
+      "corrector": {
+        "step": 236,
+        "clean_state_difference_rms": 0.002437890268465924,
+        "bias_state_difference_rms": 7.489153969713887e-05,
+        "residual_state_difference_rms": 7.972976077708221e-05,
+        "bias_to_clean_state_difference_rms": 0.03071981568073833,
+        "residual_to_clean_state_difference_rms": 0.03270440913948652,
+        "neutral_observations": 128
+      },
+      "wall_seconds": 32.627506256103516
+    }
+  ],
+  "epochs_completed": 3,
+  "final": {
+    "epoch": 3,
+    "train_accuracy": 0.7258,
+    "train_cost": 0.23920346755981445,
+    "test_accuracy": 0.6295,
+    "test_cost": 0.30114346027374267,
+    "finite": true,
+    "corrector": {
+      "step": 236,
+      "clean_state_difference_rms": 0.002437890268465924,
+      "bias_state_difference_rms": 7.489153969713887e-05,
+      "residual_state_difference_rms": 7.972976077708221e-05,
+      "bias_to_clean_state_difference_rms": 0.03071981568073833,
+      "residual_to_clean_state_difference_rms": 0.03270440913948652,
+      "neutral_observations": 128
+    },
+    "wall_seconds": 32.627506256103516
+  }
+}