results: evaluate centered EP under hardware bias

1 files changed, 102 insertions, 0 deletions

diff --git a/results/ep_bias/centered_r1/fixed_intercept.json b/results/ep_bias/centered_r1/fixed_intercept.json
new file mode 100644
index 0000000..a57fd44
--- /dev/null
+++ b/results/ep_bias/centered_r1/fixed_intercept.json
@@ -0,0 +1,102 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "8303dfb554a77d9f96d6feb8fb99d3493a726682"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "centered",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "constant",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "dillavou_profile": null,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 4.76837158203125e-07,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 1,
+    "train_limit": 10000,
+    "test_limit": 2000,
+    "evaluation_split": "train_holdout",
+    "data_seed": 6200,
+    "batch_size": 128,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "2",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.2304,
+      "train_cost": 0.43666934490203857,
+      "test_accuracy": 0.4545,
+      "test_cost": 0.3803917226791382,
+      "finite": true,
+      "corrector": {
+        "step": 78,
+        "bias_model": "dillavou_constant_update",
+        "bias_profile_source": null,
+        "clean_update_rms": 0.0011044484336776698,
+        "bias_update_rms": 0.00021003472899291755,
+        "residual_update_rms": 1.0602810794642005e-11,
+        "bias_to_clean_update_rms": 0.19017160293625407,
+        "residual_to_clean_update_rms": 9.600095822795477e-09,
+        "neutral_observations": 1
+      },
+      "wall_seconds": 137.8658630847931
+    }
+  ],
+  "epochs_completed": 1,
+  "beta_sign_counts": {
+    "positive": 79,
+    "negative": 79
+  },
+  "final": {
+    "epoch": 1,
+    "train_accuracy": 0.2304,
+    "train_cost": 0.43666934490203857,
+    "test_accuracy": 0.4545,
+    "test_cost": 0.3803917226791382,
+    "finite": true,
+    "corrector": {
+      "step": 78,
+      "bias_model": "dillavou_constant_update",
+      "bias_profile_source": null,
+      "clean_update_rms": 0.0011044484336776698,
+      "bias_update_rms": 0.00021003472899291755,
+      "residual_update_rms": 1.0602810794642005e-11,
+      "bias_to_clean_update_rms": 0.19017160293625407,
+      "residual_to_clean_update_rms": 9.600095822795477e-09,
+      "neutral_observations": 1
+    },
+    "wall_seconds": 137.8658630847931
+  }
+}