{ "key": "opt07_sfa_integer_train/control_baseline", "tag": "control_baseline", "script": "opt07_sfa_integer_train.py", "script_sha256_16": "ec0724638ce44e61", "hf_folder": "applied/opt07_sfa_integer_train", "priority": 0, "note": "control: D=1, hard reset, storm-reg off", "phase": 2, "n_phases": 10, "method": "harmonic_matched", "command": [ "/usr/bin/python3", "-m", "torch.distributed.run", "--standalone", "--nproc_per_node=2", "/kaggle/working/scripts/opt07_sfa_integer_train.py", "--method", "harmonic_matched", "--data-root", "/kaggle/working/data", "--epochs", "60", "--seed", "1234", "--batch-size", "64", "--event-eval", "--no-resume", "--decision-margin", "2.0", "--hub-dir", "/kaggle/working/hub/opt07_sfa_integer_train/control_baseline", "--keep-epoch-weights", "1", "--resplit", "block", "--drop-rest", "--bench", "--baseline" ], "flags": [ "--baseline" ], "epochs_requested": 60, "gpus": 2, "relative_epoch_cost": 1.0, "exit_code": 0, "status": "ok", "duration_s": 325.5, "started_utc": "2026-08-23T04:14:37.607209+00:00", "finished_utc": "2026-08-23T04:20:03.092068+00:00", "optimization_summary": { "optimization": "sfa_integer_train", "research_section": "3. Training-Time Approximation for Fewer Timesteps (SFA) / spike-storm suppression", "reference": "Yao et al., Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training, arXiv:2411.16061", "script": "opt07_sfa_integer_train.py", "baseline_mode": true, "method": "harmonic_matched", "accuracy": { "test_acc": 0.9442857142857143, "test_target_acc": 0.9442857142857143, "best_val_acc": 0.9464285714285714 }, "efficiency": { "spikes_per_inference": null, "syn_ops_per_inference": 3276098.271103896, "dense_macs_per_inference": 122675200.0, "event_fraction_of_dense": 0.026705465090775447, "syn_ops_per_inference_dense_fanout": 64852716.05762987, "weight_sparsity": 0.7324707846410685, "effective_ticks": 12.049285714285714, "num_ticks": 100, "membrane_bytes_per_inference": 451200, "weight_bytes": 4907008, "input_raster_bytes": null, "train_ms_per_step": 95.41663794998385, "infer_ms_per_sample": 0.6363128081250125, "peak_vram_mb": 2829.275648 }, "optimization_specific": { "sfa_levels_D": 1, "soft_reset": false, "storm_reg": 0.0, "trained_T": 100, "infer_mode": "graded", "min_ticks_within_1pct_of_full": null, "speedup_at_min_ticks": null, "full_T_acc": null, "t_sweep_rows": null, "storm_ratio_peak_over_mean": 4.721035628917203, "tick_activity_cv": 0.8204789844315089, "mean_integer_activation": 0.07897717574611306, "frac_activations_gt1": 0.0, "max_activation": 1.0, "per_layer_activity": [ { "layer": 0, "mean_integer_activation": 0.0650282603316009, "peak_tick_activation": 0.3070007339119911, "storm_ratio": 4.721035628917203, "tick_activity_cv": 0.8204789844315089, "frac_activations_gt1": 0.0, "max_activation": 1.0 }, { "layer": 1, "mean_integer_activation": 0.03752758026123047, "peak_tick_activation": 0.084075927734375, "storm_ratio": 2.240377001371265, "tick_activity_cv": 0.2590329003324282, "frac_activations_gt1": 0.0, "max_activation": 1.0 }, { "layer": 2, "mean_integer_activation": 0.1343756866455078, "peak_tick_activation": 0.15582275390625, "storm_ratio": 1.159605266370255, "tick_activity_cv": 0.12113898330190948, "frac_activations_gt1": 0.0, "max_activation": 1.0 } ], "expanded_vs_graded_agreement": null, "expanded_acc": null, "graded_acc": null, "syn_ratio_expanded_over_graded": null, "expansion_caveat": "exact only at beta=1 (IAF); with beta<1 the expanded mode applies decay per sub-tick and drifts" }, "config": { "method": "harmonic_matched", "data_root": "/kaggle/working/data", "subjects": "", "blocks": "", "limit": 0, "drop_rest": true, "resplit": "block", "test_blocks": "6", "class_weight": false, "epochs": 60, "batch_size": 64, "lr": 0.002, "weight_decay": 0.0005, "grad_clip": 5.0, "num_bins": 100, "window_sec": 5.0, "hidden": "512,256", "freq_groups": 8, "dropout": 0.3, "spike_drop": 0.1, "time_jitter": 2, "label_smoothing": 0.05, "no_batchnorm": false, "binary_input": false, "beta": 1.0, "thresh": 1.0, "window": 0.5, "gain": 1.0, "alpha": 0.9, "readout": "spikecount", "fake_quant": 0, "amp": false, "spike_reg": 0.0, "event_eval": true, "decision_margin": 2.0, "export": false, "seed": 1234, "hub_dir": "/kaggle/working/hub/opt07_sfa_integer_train/control_baseline", "repo_id": "UWU-R-13/SSVEP-SNN", "push_hf": false, "keep_epoch_weights": 1, "no_resume": true, "selftest": false, "baseline": true, "bench": true, "bench_warmup": 10, "bench_iters": 50, "bench_train_steps": 20, "sfa_levels": 4, "soft_reset": true, "storm_reg": 0.001, "infer_mode": "graded", "t_sweep": "4,8,16,25,50,100", "sampling_rate": 250.0 } }, "final_summary": { "final_test_acc": 0.9442857142857143, "final_test_target_acc": 0.9442857142857143, "final_test_rest_recall": NaN, "best_acc": 0.9464285714285714, "best_epoch": 36, "resplit": "block", "class_weight": false, "drop_rest": true, "epochs": 60, "method": "harmonic_matched", "n_in": 2880, "n_classes": 40, "num_bins": 100 }, "event_driven_summary": { "acc": 0.9442857142857143, "anytime_acc": { "0.25": 0.6492857142857142, "0.5": 0.8414285714285714, "0.75": 0.9164285714285715, "1.0": 0.9442857142857143 }, "syn_per_inference": 3276098.271103896, "dense_per_inference": 122675200.0, "event_fraction_of_dense": 0.026705465090775447, "syn_per_inference_dense_fanout": 64852716.05762987, "weight_sparsity": 0.7324707846410685, "num_ticks": 100, "dt_ms": 50.0, "infer_mode": "graded", "margin_decision_acc": 0.45357142857142857, "mean_decision_tick": 12.049285714285714, "mean_decision_ms": 602.4642857142858, "dense_forward_test_acc": 0.9442857142857143 }, "extra_sweep_file_present": false, "selftest": { "mode": "gate", "passed": true }, "driver_version": 1, "zip": { "name": "control_baseline.zip", "files": 80, "bytes": 12243558, "MB": 12.2, "sha256": "ef41cc96bceab3211a07c23bfa9469952a5d4dc3e8ca52e1b569b2e3abe6c088" } }