From a3a46b46284ed40180c35c452f43d4e38015e503 Mon Sep 17 00:00:00 2001 From: YurenHao0426 Date: Fri, 7 Aug 2026 15:31:54 -0500 Subject: results: close Rain C0 and released-profile R0 --- results/ep_bias/dillavou_c0/pep_clean.json | 171 +++++++++++++++++++++++++++++ 1 file changed, 171 insertions(+) create mode 100644 results/ep_bias/dillavou_c0/pep_clean.json (limited to 'results/ep_bias/dillavou_c0/pep_clean.json') diff --git a/results/ep_bias/dillavou_c0/pep_clean.json b/results/ep_bias/dillavou_c0/pep_clean.json new file mode 100644 index 0000000..50532fe --- /dev/null +++ b/results/ep_bias/dillavou_c0/pep_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": "fixed_positive", + "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": "0", + "device_name": "NVIDIA GeForce GTX 1080" + }, + "metrics": [ + { + "epoch": 1, + "train_accuracy": 0.6331833333333333, + "train_cost": 0.26114970343907673, + "test_accuracy": 0.7315, + "test_cost": 0.20986583371162415, + "finite": true, + "corrector": {}, + "wall_seconds": 772.7187147140503 + }, + { + "epoch": 2, + "train_accuracy": 0.6627, + "train_cost": 0.2617804507891337, + "test_accuracy": 0.5922, + "test_cost": 0.4188939518928528, + "finite": true, + "corrector": {}, + "wall_seconds": 1544.577304840088 + }, + { + "epoch": 3, + "train_accuracy": 0.6126666666666667, + "train_cost": 0.29678506310780844, + "test_accuracy": 0.5733, + "test_cost": 0.2982772967338562, + "finite": true, + "corrector": {}, + "wall_seconds": 2314.08575963974 + }, + { + "epoch": 4, + "train_accuracy": 0.43415, + "train_cost": 0.3849130135854085, + "test_accuracy": 0.4685, + "test_cost": 0.34045493516922, + "finite": true, + "corrector": {}, + "wall_seconds": 3082.613589525223 + }, + { + "epoch": 5, + "train_accuracy": 0.44206666666666666, + "train_cost": 0.3828686854044596, + "test_accuracy": 0.338, + "test_cost": 0.42704891023635866, + "finite": true, + "corrector": {}, + "wall_seconds": 3851.0639486312866 + }, + { + "epoch": 6, + "train_accuracy": 0.33975, + "train_cost": 0.4333668016433716, + "test_accuracy": 0.2028, + "test_cost": 0.44713303966522217, + "finite": true, + "corrector": {}, + "wall_seconds": 4618.865006446838 + }, + { + "epoch": 7, + "train_accuracy": 0.10198333333333333, + "train_cost": 0.4533044646581014, + "test_accuracy": 0.1, + "test_cost": 0.451286998796463, + "finite": true, + "corrector": {}, + "wall_seconds": 5386.315636873245 + }, + { + "epoch": 8, + "train_accuracy": 0.09966666666666667, + "train_cost": 0.4508303793589274, + "test_accuracy": 0.1, + "test_cost": 0.45172959218025205, + "finite": true, + "corrector": {}, + "wall_seconds": 6153.813899278641 + }, + { + "epoch": 9, + "train_accuracy": 0.09798333333333334, + "train_cost": 0.4509103933334351, + "test_accuracy": 0.1, + "test_cost": 0.45050861291885375, + "finite": true, + "corrector": {}, + "wall_seconds": 6921.272820234299 + }, + { + "epoch": 10, + "train_accuracy": 0.09518333333333333, + "train_cost": 0.45089836565653485, + "test_accuracy": 0.1, + "test_cost": 0.45086712436676024, + "finite": true, + "corrector": {}, + "wall_seconds": 7688.960968732834 + } + ], + "epochs_completed": 10, + "beta_sign_counts": { + "positive": 4690, + "negative": 0 + }, + "final": { + "epoch": 10, + "train_accuracy": 0.09518333333333333, + "train_cost": 0.45089836565653485, + "test_accuracy": 0.1, + "test_cost": 0.45086712436676024, + "finite": true, + "corrector": {}, + "wall_seconds": 7688.960968732834 + } +} -- cgit v1.2.3