results: close Rain C0 and released-profile R0

1 files changed, 171 insertions, 0 deletions

diff --git a/results/ep_bias/dillavou_c0/random_clean.json b/results/ep_bias/dillavou_c0/random_clean.json
new file mode 100644
index 0000000..c66a9a7
--- /dev/null
+++ b/results/ep_bias/dillavou_c0/random_clean.json
@@ -0,0 +1,171 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "65f617eaf07a87c84475ad0010dea844422163e1"
+  },
+  "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": "random_sign",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "clean",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "predictor_rate": 1.0,
+    "neutral_cadence": 0,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 2.384185791015625e-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": 10,
+    "train_limit": 60000,
+    "test_limit": 10000,
+    "evaluation_split": "test",
+    "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": "4",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
+    {
+      "epoch": 1,
+      "train_accuracy": 0.6263833333333333,
+      "train_cost": 0.2547279439608256,
+      "test_accuracy": 0.7752,
+      "test_cost": 0.16445912487506867,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 790.465966463089
+    },
+    {
+      "epoch": 2,
+      "train_accuracy": 0.7772666666666667,
+      "train_cost": 0.16738989297548929,
+      "test_accuracy": 0.7839,
+      "test_cost": 0.16023902473449708,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 1577.164415359497
+    },
+    {
+      "epoch": 3,
+      "train_accuracy": 0.7781666666666667,
+      "train_cost": 0.16374242378870646,
+      "test_accuracy": 0.7716,
+      "test_cost": 0.16426111673116683,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 2362.6045484542847
+    },
+    {
+      "epoch": 4,
+      "train_accuracy": 0.7665666666666666,
+      "train_cost": 0.1713330840587616,
+      "test_accuracy": 0.7575,
+      "test_cost": 0.186199333691597,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 3146.721355199814
+    },
+    {
+      "epoch": 5,
+      "train_accuracy": 0.7519166666666667,
+      "train_cost": 0.1845080192565918,
+      "test_accuracy": 0.7414,
+      "test_cost": 0.18556401858329774,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 3929.5435218811035
+    },
+    {
+      "epoch": 6,
+      "train_accuracy": 0.7203833333333334,
+      "train_cost": 0.20764003632863362,
+      "test_accuracy": 0.6789,
+      "test_cost": 0.2430113084077835,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 4711.062379598618
+    },
+    {
+      "epoch": 7,
+      "train_accuracy": 0.4110666666666667,
+      "train_cost": 0.35641372086207074,
+      "test_accuracy": 0.1,
+      "test_cost": 0.46262577285766604,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 5491.247609376907
+    },
+    {
+      "epoch": 8,
+      "train_accuracy": 0.1,
+      "train_cost": 0.45775474071502686,
+      "test_accuracy": 0.1,
+      "test_cost": 0.45456055669784545,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 6271.208564519882
+    },
+    {
+      "epoch": 9,
+      "train_accuracy": 0.09943333333333333,
+      "train_cost": 0.45761741638183595,
+      "test_accuracy": 0.1,
+      "test_cost": 0.4610685874938965,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 7051.188853025436
+    },
+    {
+      "epoch": 10,
+      "train_accuracy": 0.09846666666666666,
+      "train_cost": 0.45765557657877604,
+      "test_accuracy": 0.1,
+      "test_cost": 0.4531411005973816,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 7831.132164478302
+    }
+  ],
+  "epochs_completed": 10,
+  "beta_sign_counts": {
+    "positive": 2303,
+    "negative": 2387
+  },
+  "final": {
+    "epoch": 10,
+    "train_accuracy": 0.09846666666666666,
+    "train_cost": 0.45765557657877604,
+    "test_accuracy": 0.1,
+    "test_cost": 0.4531411005973816,
+    "finite": true,
+    "corrector": {},
+    "wall_seconds": 7831.132164478302
+  }
+}