results: reject unmatched random-beta screen

1 files changed, 127 insertions, 0 deletions

diff --git a/results/ep_bias/s2/random-beta-r0p01-e3-s1990.json b/results/ep_bias/s2/random-beta-r0p01-e3-s1990.json
new file mode 100644
index 0000000..0bc7994
--- /dev/null
+++ b/results/ep_bias/s2/random-beta-r0p01-e3-s1990.json
@@ -0,0 +1,127 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "7420d717cc8b56dd2ad0e4223c1224f87c2dacf2"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author ConvHopfieldEnergy28 32-64-10",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "random_sign",
+    "beta_seed": 7100,
+    "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,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "existing_first_EP_phase",
+    "bias_ratio_normalization": "experimenter_initial_clean_layer_state_difference_rms",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 3,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6100,
+    "batch_size": 128,
+    "training_iterations": 12,
+    "inference_iterations": 30,
+    "seed": 1990,
+    "device": "cuda",
+    "determinism": "author_default",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "7",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.4837,
+      "train_cost": 0.35448909170627596,
+      "test_accuracy": 0.647,
+      "test_cost": 0.2683020324707031,
+      "finite": true,
+      "corrector": {
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+        "clean_state_difference_rms": 0.0034423214504922077,
+        "bias_state_difference_rms": 0.00017698875611920847,
+        "residual_state_difference_rms": 0.0001769887433680552,
+        "bias_to_clean_state_difference_rms": 0.05141552253753099,
+        "residual_to_clean_state_difference_rms": 0.05141551883330015,
+        "neutral_observations": 0
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+      "wall_seconds": 10.91260313987732
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+    {
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+      "finite": true,
+      "corrector": {
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+        "residual_to_clean_state_difference_rms": 0.04678139669718776,
+        "neutral_observations": 0
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+        "residual_state_difference_rms": 0.00017428156463362936,
+        "bias_to_clean_state_difference_rms": 0.04396925839238865,
+        "residual_to_clean_state_difference_rms": 0.043969260259212536,
+        "neutral_observations": 0
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+      "wall_seconds": 31.97165060043335
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+  ],
+  "epochs_completed": 3,
+  "beta_sign_counts": {
+    "positive": 115,
+    "negative": 122
+  },
+  "final": {
+    "epoch": 3,
+    "train_accuracy": 0.7308,
+    "train_cost": 0.2232164366722107,
+    "test_accuracy": 0.739,
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+      "bias_to_clean_state_difference_rms": 0.04396925839238865,
+      "residual_to_clean_state_difference_rms": 0.043969260259212536,
+      "neutral_observations": 0
+    },
+    "wall_seconds": 31.97165060043335
+  }
+}