Invalid JSON:Unexpected token 'N', ..."_recall": NaN,
""... is not valid JSON
| { | |
| "key": "opt09_srif_softreset/u_bits_2", | |
| "tag": "u_bits_2", | |
| "script": "opt09_srif_softreset.py", | |
| "script_sha256_16": "dd62e980e1fe3fd1", | |
| "hf_folder": "applied/opt09_srif_softreset", | |
| "priority": 2, | |
| "note": "", | |
| "phase": 10, | |
| "n_phases": 10, | |
| "method": "harmonic_matched", | |
| "command": [ | |
| "/usr/bin/python3", | |
| "-m", | |
| "torch.distributed.run", | |
| "--standalone", | |
| "--nproc_per_node=2", | |
| "/kaggle/working/scripts/opt09_srif_softreset.py", | |
| "--method", | |
| "harmonic_matched", | |
| "--data-root", | |
| "/kaggle/working/data", | |
| "--epochs", | |
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| "--hub-dir", | |
| "/kaggle/working/hub/opt09_srif_softreset/u_bits_2", | |
| "--keep-epoch-weights", | |
| "1", | |
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| ], | |
| "flags": [ | |
| "--u-bits", | |
| "2" | |
| ], | |
| "epochs_requested": 60, | |
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| "exit_code": 0, | |
| "status": "ok", | |
| "duration_s": 303.1, | |
| "started_utc": "2026-08-23T05:36:33.566981+00:00", | |
| "finished_utc": "2026-08-23T05:41:36.652306+00:00", | |
| "optimization_summary": { | |
| "optimization": "srif_softreset", | |
| "research_section": "4. Membrane-Potential Memory Wall -- Soft Reset Integrate-and-Fire (SRIF), dynamic reset potential", | |
| "reference": "Guo et al., 'Reducing Information Loss for Spiking Neural Networks' (SRIF), ECCV 2022; research.md S4 (stacks with MINT / SpQuant-SNN membrane quantization)", | |
| "script": "opt09_srif_softreset.py", | |
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| "num_spiking_sites": 4, | |
| "extra_params": 8, | |
| "extra_params_frac_of_weights": 6.5212854757929885e-06, | |
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| "reset_stats": { | |
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| "reset_x_bits_sweep": { | |
| "rows": [ | |
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| { | |
| "reset_mode": "trained", | |
| "u_bits": 0, | |
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| "u_bits": 4, | |
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| "acc_by_bits": { | |
| "0": 0.025, | |
| "4": 0.025, | |
| "2": 0.025 | |
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| } | |
| } | |
| } | |
| }, | |
| "mechanism": "V = u - s*((1-lam)*u + lam*thresh) + s*v_r; lam=0,v_r=0 is the baseline hard reset exactly, lam=1,v_r=0 discards zero charge", | |
| "cost": "2 scalars per spiking layer; identical FMA count per tick, so the reset change is free at inference time", | |
| "caveat": "the sweep swaps the reset on ALREADY-TRAINED weights, which under-states what training with each reset would give; and a charge-conserving reset can raise the spike count, so read spikes_per_inference next to the accuracy" | |
| }, | |
| "config": { | |
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| "data_root": "/kaggle/working/data", | |
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| "hub_dir": "/kaggle/working/hub/opt09_srif_softreset/u_bits_2", | |
| "repo_id": "UWU-R-13/SSVEP-SNN", | |
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| "reset_sweep": "hard,soft,trained", | |
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