diff options
| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-10 04:26:07 -0500 |
|---|---|---|
| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-10 04:26:07 -0500 |
| commit | 3b89612174f16da526188e640f6e67a0b4b22974 (patch) | |
| tree | 965259532a9beb4a1ad7b114c4549f7e20232e74 /results/ep_bias/centered_r4/seed_1990_clean.json | |
| parent | 1305db8fecfe04f6ba37f31a7c6a9e2a4b8edcda (diff) | |
results: aggregate four full state-bias EP seeds
Diffstat (limited to 'results/ep_bias/centered_r4/seed_1990_clean.json')
| -rw-r--r-- | results/ep_bias/centered_r4/seed_1990_clean.json | 186 |
1 files changed, 186 insertions, 0 deletions
diff --git a/results/ep_bias/centered_r4/seed_1990_clean.json b/results/ep_bias/centered_r4/seed_1990_clean.json new file mode 100644 index 0000000..c9f8610 --- /dev/null +++ b/results/ep_bias/centered_r4/seed_1990_clean.json @@ -0,0 +1,186 @@ +{ + "schema": "rain_ep_structured_bias_screen_v1", + "sdil": { + "revision": "1305db8fecfe04f6ba37f31a7c6a9e2a4b8edcda" + }, + "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": 2.86102294921875e-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": 1990, + "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": "0", + "device_name": "NVIDIA GeForce GTX 1080" + }, + "metrics": [ + { + "epoch": 1, + "train_accuracy": 0.6423333333333333, + "train_cost": 0.24444140720367433, + "test_accuracy": 0.7951, + "test_cost": 0.15331767020225526, + "finite": true, + "corrector": {}, + "wall_seconds": 770.9147839546204 + }, + { + "epoch": 2, + "train_accuracy": 0.8063, + "train_cost": 0.14571314191818238, + "test_accuracy": 0.8173, + "test_cost": 0.13457163079977036, + "finite": true, + "corrector": {}, + "wall_seconds": 1544.1100521087646 + }, + { + "epoch": 3, + "train_accuracy": 0.8279666666666666, + "train_cost": 0.12732332185109457, + "test_accuracy": 0.8444, + "test_cost": 0.11292936514616013, + "finite": true, + "corrector": {}, + "wall_seconds": 2317.3022859096527 + }, + { + "epoch": 4, + "train_accuracy": 0.83675, + "train_cost": 0.11989593629837036, + "test_accuracy": 0.8397, + "test_cost": 0.11484382976293564, + "finite": true, + "corrector": {}, + "wall_seconds": 3090.199138879776 + }, + { + "epoch": 5, + "train_accuracy": 0.8433333333333334, + "train_cost": 0.11557844934463501, + "test_accuracy": 0.858, + "test_cost": 0.10375962245464325, + "finite": true, + "corrector": {}, + "wall_seconds": 3861.989620923996 + }, + { + "epoch": 6, + "train_accuracy": 0.8507166666666667, + "train_cost": 0.11010909735361735, + "test_accuracy": 0.8539, + "test_cost": 0.10742683361768722, + "finite": true, + "corrector": {}, + "wall_seconds": 4633.1326332092285 + }, + { + "epoch": 7, + "train_accuracy": 0.8566166666666667, + "train_cost": 0.10507652663389842, + "test_accuracy": 0.8656, + "test_cost": 0.09814836411476136, + "finite": true, + "corrector": {}, + "wall_seconds": 5404.696265220642 + }, + { + "epoch": 8, + "train_accuracy": 0.8663166666666666, + "train_cost": 0.0994640639702479, + "test_accuracy": 0.8687, + "test_cost": 0.09573213506937027, + "finite": true, + "corrector": {}, + "wall_seconds": 6175.839174032211 + }, + { + "epoch": 9, + "train_accuracy": 0.8646333333333334, + "train_cost": 0.10043093843460082, + "test_accuracy": 0.86, + "test_cost": 0.102595478785038, + "finite": true, + "corrector": {}, + "wall_seconds": 6947.259646892548 + }, + { + "epoch": 10, + "train_accuracy": 0.86405, + "train_cost": 0.10068858074347178, + "test_accuracy": 0.8693, + "test_cost": 0.09585296335220336, + "finite": true, + "corrector": {}, + "wall_seconds": 7718.637752056122 + } + ], + "epochs_completed": 10, + "beta_sign_counts": { + "positive": 4690, + "negative": 4690 + }, + "final": { + "epoch": 10, + "train_accuracy": 0.86405, + "train_cost": 0.10068858074347178, + "test_accuracy": 0.8693, + "test_cost": 0.09585296335220336, + "finite": true, + "corrector": {}, + "wall_seconds": 7718.637752056122 + } +} |
