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| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-07 15:31:54 -0500 |
|---|---|---|
| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-07 15:31:54 -0500 |
| commit | a3a46b46284ed40180c35c452f43d4e38015e503 (patch) | |
| tree | cc555f7f62441768a5d46210f8f1f8aa21663b51 /results/ep_bias/dillavou_c0/centered_clean.json | |
| parent | 65f617eaf07a87c84475ad0010dea844422163e1 (diff) | |
results: close Rain C0 and released-profile R0
Diffstat (limited to 'results/ep_bias/dillavou_c0/centered_clean.json')
| -rw-r--r-- | results/ep_bias/dillavou_c0/centered_clean.json | 171 |
1 files changed, 171 insertions, 0 deletions
diff --git a/results/ep_bias/dillavou_c0/centered_clean.json b/results/ep_bias/dillavou_c0/centered_clean.json new file mode 100644 index 0000000..eef778c --- /dev/null +++ b/results/ep_bias/dillavou_c0/centered_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": "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, + "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": 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": "6", + "device_name": "NVIDIA GeForce GTX 1080" + }, + "metrics": [ + { + "epoch": 1, + "train_accuracy": 0.5966166666666667, + "train_cost": 0.26790297616322833, + "test_accuracy": 0.792, + "test_cost": 0.15573115186691283, + "finite": true, + "corrector": {}, + "wall_seconds": 791.3634951114655 + }, + { + "epoch": 2, + "train_accuracy": 0.7990166666666667, + "train_cost": 0.1508844397544861, + "test_accuracy": 0.8135, + "test_cost": 0.1375195680141449, + "finite": true, + "corrector": {}, + "wall_seconds": 1585.4075651168823 + }, + { + "epoch": 3, + "train_accuracy": 0.8292, + "train_cost": 0.12718361412684123, + "test_accuracy": 0.8574, + "test_cost": 0.1070521926999092, + "finite": true, + "corrector": {}, + "wall_seconds": 2379.6713066101074 + }, + { + "epoch": 4, + "train_accuracy": 0.84385, + "train_cost": 0.11590963444709777, + "test_accuracy": 0.8465, + "test_cost": 0.11115882776975632, + "finite": true, + "corrector": {}, + "wall_seconds": 3174.0780577659607 + }, + { + "epoch": 5, + "train_accuracy": 0.8542166666666666, + "train_cost": 0.10834487209320068, + "test_accuracy": 0.8717, + "test_cost": 0.09622300601005554, + "finite": true, + "corrector": {}, + "wall_seconds": 3968.5418033599854 + }, + { + "epoch": 6, + "train_accuracy": 0.8607, + "train_cost": 0.1035885739326477, + "test_accuracy": 0.86, + "test_cost": 0.1034158871769905, + "finite": true, + "corrector": {}, + "wall_seconds": 4763.052963733673 + }, + { + "epoch": 7, + "train_accuracy": 0.8689666666666667, + "train_cost": 0.09762942288716635, + "test_accuracy": 0.8724, + "test_cost": 0.09512372477054595, + "finite": true, + "corrector": {}, + "wall_seconds": 5557.174776554108 + }, + { + "epoch": 8, + "train_accuracy": 0.8729166666666667, + "train_cost": 0.09451936751206716, + "test_accuracy": 0.8745, + "test_cost": 0.09160860464572906, + "finite": true, + "corrector": {}, + "wall_seconds": 6351.611607551575 + }, + { + "epoch": 9, + "train_accuracy": 0.8778, + "train_cost": 0.09079933222929637, + "test_accuracy": 0.871, + "test_cost": 0.09528597943782806, + "finite": true, + "corrector": {}, + "wall_seconds": 7146.317694187164 + }, + { + "epoch": 10, + "train_accuracy": 0.8811, + "train_cost": 0.08831276926994323, + "test_accuracy": 0.8867, + "test_cost": 0.08445086604356766, + "finite": true, + "corrector": {}, + "wall_seconds": 7940.900921821594 + } + ], + "epochs_completed": 10, + "beta_sign_counts": { + "positive": 4690, + "negative": 4690 + }, + "final": { + "epoch": 10, + "train_accuracy": 0.8811, + "train_cost": 0.08831276926994323, + "test_accuracy": 0.8867, + "test_cost": 0.08445086604356766, + "finite": true, + "corrector": {}, + "wall_seconds": 7940.900921821594 + } +} |
