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+{
+ "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": "raw",
+ "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": 7.152557373046875e-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": "1",
+ "device_name": "NVIDIA GeForce GTX 1080"
+ },
+ "metrics": [
+ {
+ "epoch": 1,
+ "train_accuracy": 0.21611666666666668,
+ "train_cost": 2.952858947881063,
+ "test_accuracy": 0.1064,
+ "test_cost": 92706.8582,
+ "finite": true,
+ "corrector": {
+ "step": 468,
+ "bias_model": "dillavou_constant_update",
+ "clean_update_rms": 1.3665245006072042,
+ "bias_update_rms": 0.00015287711537102346,
+ "residual_update_rms": 0.000152877329837136,
+ "bias_to_clean_update_rms": 0.00011187294139482588,
+ "residual_to_clean_update_rms": 0.0001118730983375755,
+ "neutral_observations": 0
+ },
+ "wall_seconds": 832.7673797607422
+ },
+ {
+ "epoch": 2,
+ "train_accuracy": 0.09923333333333334,
+ "train_cost": NaN,
+ "test_accuracy": 0.1,
+ "test_cost": NaN,
+ "finite": false,
+ "corrector": {
+ "step": 937,
+ "bias_model": "dillavou_constant_update",
+ "clean_update_rms": NaN,
+ "bias_update_rms": NaN,
+ "residual_update_rms": NaN,
+ "bias_to_clean_update_rms": NaN,
+ "residual_to_clean_update_rms": NaN,
+ "neutral_observations": 0
+ },
+ "wall_seconds": 1665.599752664566
+ }
+ ],
+ "epochs_completed": 2,
+ "beta_sign_counts": {
+ "positive": 938,
+ "negative": 0
+ },
+ "final": {
+ "epoch": 2,
+ "train_accuracy": 0.09923333333333334,
+ "train_cost": NaN,
+ "test_accuracy": 0.1,
+ "test_cost": NaN,
+ "finite": false,
+ "corrector": {
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+ "bias_model": "dillavou_constant_update",
+ "clean_update_rms": NaN,
+ "bias_update_rms": NaN,
+ "residual_update_rms": NaN,
+ "bias_to_clean_update_rms": NaN,
+ "residual_to_clean_update_rms": NaN,
+ "neutral_observations": 0
+ },
+ "wall_seconds": 1665.599752664566
+ }
+}