summaryrefslogtreecommitdiff
path: root/results/ep_bias/centered_r3/seed_1989_clean.json
diff options
context:
space:
mode:
authorYurenHao0426 <Blackhao0426@gmail.com>2026-08-08 10:27:17 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-08-08 10:27:17 -0500
commita3baf15507c67202814d5ccb4c06e1af027971c5 (patch)
tree66105d34911f364ec20747eece1e48fd689f8b29 /results/ep_bias/centered_r3/seed_1989_clean.json
parentc959c50eaeb932f96339a96fb42abfb247cc5aac (diff)
results: compare full state-bias EP trajectories
Diffstat (limited to 'results/ep_bias/centered_r3/seed_1989_clean.json')
-rw-r--r--results/ep_bias/centered_r3/seed_1989_clean.json186
1 files changed, 186 insertions, 0 deletions
diff --git a/results/ep_bias/centered_r3/seed_1989_clean.json b/results/ep_bias/centered_r3/seed_1989_clean.json
new file mode 100644
index 0000000..aaaa1d2
--- /dev/null
+++ b/results/ep_bias/centered_r3/seed_1989_clean.json
@@ -0,0 +1,186 @@
+{
+ "schema": "rain_ep_structured_bias_screen_v1",
+ "sdil": {
+ "revision": "c959c50eaeb932f96339a96fb42abfb247cc5aac"
+ },
+ "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": "clean",
+ "bias_ratio": 1.0,
+ "dillavou_drift_ratio": 0.0,
+ "dillavou_calibration_steps": 1,
+ "dillavou_profile": {
+ "normalized_offsets": [
+ 0.9356214982615908,
+ 1.6020613079954447,
+ -0.10013991355431538,
+ 0.7402593971899275
+ ],
+ "normalized_state_variations": [
+ 0.5259526502913017,
+ 0.31316961348123956,
+ 0.3831972460091073,
+ -0.04782433762159926
+ ],
+ "source": "/home/yurenh2/sdil/results/physical_bias/p0_state_dependence.json"
+ },
+ "predictor_rate": 1.0,
+ "neutral_cadence": 10,
+ "layer_calibration_steps": 1,
+ "layer_bias_normalization": "clean_difference",
+ "calibration_batches": 0,
+ "calibration_observations": 0,
+ "calibration_seconds": 2.384185791015625e-06,
+ "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": 1989,
+ "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": 0.62995,
+ "train_cost": 0.24774755630493164,
+ "test_accuracy": 0.785,
+ "test_cost": 0.15017734718322753,
+ "finite": true,
+ "corrector": {},
+ "wall_seconds": 791.8711850643158
+ },
+ {
+ "epoch": 2,
+ "train_accuracy": 0.8123833333333333,
+ "train_cost": 0.14134639674822488,
+ "test_accuracy": 0.8323,
+ "test_cost": 0.12335672492980956,
+ "finite": true,
+ "corrector": {},
+ "wall_seconds": 1585.6684465408325
+ },
+ {
+ "epoch": 3,
+ "train_accuracy": 0.8347,
+ "train_cost": 0.12240706000328064,
+ "test_accuracy": 0.8527,
+ "test_cost": 0.11043169293403625,
+ "finite": true,
+ "corrector": {},
+ "wall_seconds": 2381.7297286987305
+ },
+ {
+ "epoch": 4,
+ "train_accuracy": 0.8522666666666666,
+ "train_cost": 0.11007866832415263,
+ "test_accuracy": 0.8503,
+ "test_cost": 0.10634270758628846,
+ "finite": true,
+ "corrector": {},
+ "wall_seconds": 3178.3342180252075
+ },
+ {
+ "epoch": 5,
+ "train_accuracy": 0.8600666666666666,
+ "train_cost": 0.10362589096228282,
+ "test_accuracy": 0.8649,
+ "test_cost": 0.09968915002346039,
+ "finite": true,
+ "corrector": {},
+ "wall_seconds": 3975.0621688365936
+ },
+ {
+ "epoch": 6,
+ "train_accuracy": 0.86675,
+ "train_cost": 0.09925567571322123,
+ "test_accuracy": 0.8668,
+ "test_cost": 0.09750469102859496,
+ "finite": true,
+ "corrector": {},
+ "wall_seconds": 4771.791045427322
+ },
+ {
+ "epoch": 7,
+ "train_accuracy": 0.8730833333333333,
+ "train_cost": 0.0941778604666392,
+ "test_accuracy": 0.8779,
+ "test_cost": 0.08983972749710083,
+ "finite": true,
+ "corrector": {},
+ "wall_seconds": 5568.52526140213
+ },
+ {
+ "epoch": 8,
+ "train_accuracy": 0.8776666666666667,
+ "train_cost": 0.0916673661549886,
+ "test_accuracy": 0.8765,
+ "test_cost": 0.08934285793304443,
+ "finite": true,
+ "corrector": {},
+ "wall_seconds": 6365.089915275574
+ },
+ {
+ "epoch": 9,
+ "train_accuracy": 0.8824,
+ "train_cost": 0.08827614934444428,
+ "test_accuracy": 0.8827,
+ "test_cost": 0.08754250838756561,
+ "finite": true,
+ "corrector": {},
+ "wall_seconds": 7161.721607923508
+ },
+ {
+ "epoch": 10,
+ "train_accuracy": 0.8861833333333333,
+ "train_cost": 0.08464979181289672,
+ "test_accuracy": 0.888,
+ "test_cost": 0.08476702122688294,
+ "finite": true,
+ "corrector": {},
+ "wall_seconds": 7958.297293424606
+ }
+ ],
+ "epochs_completed": 10,
+ "beta_sign_counts": {
+ "positive": 4690,
+ "negative": 4690
+ },
+ "final": {
+ "epoch": 10,
+ "train_accuracy": 0.8861833333333333,
+ "train_cost": 0.08464979181289672,
+ "test_accuracy": 0.888,
+ "test_cost": 0.08476702122688294,
+ "finite": true,
+ "corrector": {},
+ "wall_seconds": 7958.297293424606
+ }
+}