results: reject unmatched random-beta screen

3 files changed, 277 insertions, 0 deletions

diff --git a/results/ep_bias/s2/random-beta-r0p01-e3-s1989.json b/results/ep_bias/s2/random-beta-r0p01-e3-s1989.json
new file mode 100644
index 0000000..beb1790
--- /dev/null
+++ b/results/ep_bias/s2/random-beta-r0p01-e3-s1989.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": 7.152557373046875e-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": 1989,
+    "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": "5",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.2262,
+      "train_cost": 0.43570694527626036,
+      "test_accuracy": 0.3275,
+      "test_cost": 0.38728964614868167,
+      "finite": true,
+      "corrector": {
+        "step": 78,
+        "clean_state_difference_rms": 0.004013366459653223,
+        "bias_state_difference_rms": 0.00020604381017363537,
+        "residual_state_difference_rms": 0.00020604380391474257,
+        "bias_to_clean_state_difference_rms": 0.051339396051921636,
+        "residual_to_clean_state_difference_rms": 0.05133939449240973,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 11.013490200042725
+    },
+    {
+      "epoch": 2,
+      "train_accuracy": 0.4166,
+      "train_cost": 0.36173204913139345,
+      "test_accuracy": 0.478,
+      "test_cost": 0.3466233539581299,
+      "finite": true,
+      "corrector": {
+        "step": 157,
+        "clean_state_difference_rms": 0.0038385451981985345,
+        "bias_state_difference_rms": 0.00018842754299574314,
+        "residual_state_difference_rms": 0.00018842754299574314,
+        "bias_to_clean_state_difference_rms": 0.04908826997378433,
+        "residual_to_clean_state_difference_rms": 0.04908826997378433,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 21.66150164604187
+    },
+    {
+      "epoch": 3,
+      "train_accuracy": 0.501,
+      "train_cost": 0.3398450434684753,
+      "test_accuracy": 0.4815,
+      "test_cost": 0.34473260974884035,
+      "finite": true,
+      "corrector": {
+        "step": 236,
+        "clean_state_difference_rms": 0.0044486201702339575,
+        "bias_state_difference_rms": 0.00019334602670050772,
+        "residual_state_difference_rms": 0.00019334603003547693,
+        "bias_to_clean_state_difference_rms": 0.04346202177344789,
+        "residual_to_clean_state_difference_rms": 0.043462022523111626,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 32.299235343933105
+    }
+  ],
+  "epochs_completed": 3,
+  "beta_sign_counts": {
+    "positive": 115,
+    "negative": 122
+  },
+  "final": {
+    "epoch": 3,
+    "train_accuracy": 0.501,
+    "train_cost": 0.3398450434684753,
+    "test_accuracy": 0.4815,
+    "test_cost": 0.34473260974884035,
+    "finite": true,
+    "corrector": {
+      "step": 236,
+      "clean_state_difference_rms": 0.0044486201702339575,
+      "bias_state_difference_rms": 0.00019334602670050772,
+      "residual_state_difference_rms": 0.00019334603003547693,
+      "bias_to_clean_state_difference_rms": 0.04346202177344789,
+      "residual_to_clean_state_difference_rms": 0.043462022523111626,
+      "neutral_observations": 0
+    },
+    "wall_seconds": 32.299235343933105
+  }
+}
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": {
+        "step": 78,
+        "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
+      },
+      "wall_seconds": 10.91260313987732
+    },
+    {
+      "epoch": 2,
+      "train_accuracy": 0.7039,
+      "train_cost": 0.2452840500831604,
+      "test_accuracy": 0.7015,
+      "test_cost": 0.240858078956604,
+      "finite": true,
+      "corrector": {
+        "step": 157,
+        "clean_state_difference_rms": 0.003430037213850274,
+        "bias_state_difference_rms": 0.00016046193560566386,
+        "residual_state_difference_rms": 0.00016046193158724632,
+        "bias_to_clean_state_difference_rms": 0.04678139786872536,
+        "residual_to_clean_state_difference_rms": 0.04678139669718776,
+        "neutral_observations": 0
+      },
+      "wall_seconds": 21.43974471092224
+    },
+    {
+      "epoch": 3,
+      "train_accuracy": 0.7308,
+      "train_cost": 0.2232164366722107,
+      "test_accuracy": 0.739,
+      "test_cost": 0.20827968692779542,
+      "finite": true,
+      "corrector": {
+        "step": 236,
+        "clean_state_difference_rms": 0.003963713822024411,
+        "bias_state_difference_rms": 0.00017428155723407375,
+        "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
+      },
+      "wall_seconds": 31.97165060043335
+    }
+  ],
+  "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,
+    "test_cost": 0.20827968692779542,
+    "finite": true,
+    "corrector": {
+      "step": 236,
+      "clean_state_difference_rms": 0.003963713822024411,
+      "bias_state_difference_rms": 0.00017428155723407375,
+      "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
+    },
+    "wall_seconds": 31.97165060043335
+  }
+}
diff --git a/results/ep_bias/s2_summary.json b/results/ep_bias/s2_summary.json
new file mode 100644
index 0000000..036f353
--- /dev/null
+++ b/results/ep_bias/s2_summary.json
@@ -0,0 +1,23 @@
+{
+  "stage": "rain_ep_random_beta_s2",
+  "status": "invalid_unmatched_corruption_development",
+  "rows": [
+    {
+      "seed": 1989,
+      "random_beta_validation_accuracy": 0.4815,
+      "positive_beta_steps": 115,
+      "negative_beta_steps": 122,
+      "final_bias_state_difference_rms": 0.00019334602670050772
+    },
+    {
+      "seed": 1990,
+      "random_beta_validation_accuracy": 0.739,
+      "positive_beta_steps": 115,
+      "negative_beta_steps": 122,
+      "final_bias_state_difference_rms": 0.00017428155723407375
+    }
+  ],
+  "reason_not_comparable": "The development injector normalized its fixed field from the first realized clean beta-state difference. A random-sign run initialized from a different beta sign than the fixed-positive runs and realized roughly 2.5 times their bias RMS. The results validate execution and sign accounting but do not compare methods at matched corruption.",
+  "next_protocol": "Normalize hardware readout bias from the free-state activity only, independently of beta sign and task difference, before comparing fixed-positive EP, random-sign beta, constant calibration and innovation.",
+  "test_policy": "development holdout observed; no performance claim"
+}