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Diffstat (limited to 'results/ep_bias/s0/innovation-r0p1-s1988.json')
| -rw-r--r-- | results/ep_bias/s0/innovation-r0p1-s1988.json | 55 |
1 files changed, 55 insertions, 0 deletions
diff --git a/results/ep_bias/s0/innovation-r0p1-s1988.json b/results/ep_bias/s0/innovation-r0p1-s1988.json new file mode 100644 index 0000000..d2d3d7d --- /dev/null +++ b/results/ep_bias/s0/innovation-r0p1-s1988.json @@ -0,0 +1,55 @@ +{ + "schema": "rain_ep_structured_bias_screen_v1", + "author": { + "repository": "https://github.com/rain-neuromorphics/energy-based-learning", + "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb" + }, + "protocol": { + "dataset": "FashionMNIST", + "network": "author ConvHopfieldEnergy28 32-64-10", + "algorithm": "positive equilibrium propagation", + "mode": "innovation", + "bias_ratio": 0.1, + "predictor_rate": 0.1, + "neutral_cadence": 1, + "epochs": 1, + "train_limit": 2048, + "test_limit": 1024, + "batch_size": 128, + "training_iterations": 12, + "inference_iterations": 30, + "seed": 1988, + "device": "cuda", + "autodiff_used_for_learning": false + }, + "metrics": [ + { + "epoch": 1, + "train_accuracy": 0.091796875, + "train_cost": 36.51505360752344, + "test_accuracy": 0.0888671875, + "test_cost": 21.987444400787354, + "corrector": { + "step": 15, + "bias_rms": 0.3794106056369348, + "residual_bias_rms": 0.07425886161183246, + "neutral_observations": 16 + }, + "wall_seconds": 3.1449007987976074 + } + ], + "final": { + "epoch": 1, + "train_accuracy": 0.091796875, + "train_cost": 36.51505360752344, + "test_accuracy": 0.0888671875, + "test_cost": 21.987444400787354, + "corrector": { + "step": 15, + "bias_rms": 0.3794106056369348, + "residual_bias_rms": 0.07425886161183246, + "neutral_observations": 16 + }, + "wall_seconds": 3.1449007987976074 + } +} |