diff options
| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-08 10:27:17 -0500 |
|---|---|---|
| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-08 10:27:17 -0500 |
| commit | a3baf15507c67202814d5ccb4c06e1af027971c5 (patch) | |
| tree | 66105d34911f364ec20747eece1e48fd689f8b29 /results/ep_bias/centered_r3/seed_1989_clean.json | |
| parent | c959c50eaeb932f96339a96fb42abfb247cc5aac (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.json | 186 |
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 + } +} |
