From 4d0186956cc3d1adda1d7937d9efdde2507fdf6d Mon Sep 17 00:00:00 2001 From: YurenHao0426 Date: Tue, 21 Jul 2026 08:53:51 -0500 Subject: results: record audited scaling and baseline runs --- results/baseline_budget_v1_mnist_ff_w256_d3_s2.json | 1 + 1 file changed, 1 insertion(+) create mode 100644 results/baseline_budget_v1_mnist_ff_w256_d3_s2.json (limited to 'results/baseline_budget_v1_mnist_ff_w256_d3_s2.json') diff --git a/results/baseline_budget_v1_mnist_ff_w256_d3_s2.json b/results/baseline_budget_v1_mnist_ff_w256_d3_s2.json new file mode 100644 index 0000000..327c0d7 --- /dev/null +++ b/results/baseline_budget_v1_mnist_ff_w256_d3_s2.json @@ -0,0 +1 @@ +{"args": {"method": "ff", "dataset": "mnist", "depth": 3, "width": 256, "epochs": 15, "batch_size": 128, "max_batches": 0, "eta": null, "momentum": 0.9, "act": "tanh", "residual": 0, "feedback_scale": 1.0, "pepita_f_scale": 0.05, "keep_prob": 0.9, "ff_threshold": 2.0, "ep_beta": 0.5, "ep_dt": 0.5, "ep_free_steps": 20, "ep_nudge_steps": 4, "canonical_preprocess": 1, "seed": 2, "device": "cuda", "outdir": "results", "tag": "baseline_budget_v1_mnist_ff_w256_d3_s2"}, "method_source": {"paper": "https://www.cs.toronto.edu/~hinton/absps/FFXfinal.pdf", "reference": "https://github.com/mpezeshki/pytorch_forward_forward", "protocol": "greedy layerwise goodness; input length normalization; Adam"}, "provenance": {"git_commit": "c8a372cae2612839bdbdafcf9c114f52cb4a6de3", "git_dirty": false}, "steps": [{"layer_end": 0, "test_acc": 0.1426, "local_loss": 0.2255902737379074}, {"layer_end": 1, "test_acc": 0.9362, "local_loss": 0.2764553427696228}, {"layer_end": 2, "test_acc": 0.9334, "local_loss": 0.3405337333679199}], "final": {"test_acc": 0.9334, "test_loss": NaN, "wall_s": 68.85102558135986}} \ No newline at end of file -- cgit v1.2.3