p-j-r-1-2-3 commited on
Commit
4df6e5e
·
verified ·
1 Parent(s): 7d4df84

update APPLIED run index

Browse files
applied/_index/APPLIED_RUNS_INDEX.json CHANGED
@@ -655,5 +655,131 @@
655
  "MB": 12.6,
656
  "sha256": "1c64c6704af63b5eec37b2f1d2e824ba1c5c3c28328c5b1c03089bd12b4cc747"
657
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
658
  }
659
  ]
 
655
  "MB": 12.6,
656
  "sha256": "1c64c6704af63b5eec37b2f1d2e824ba1c5c3c28328c5b1c03089bd12b4cc747"
657
  }
658
+ },
659
+ {
660
+ "key": "opt03_ftbc_threshold_balance/control_baseline",
661
+ "tag": "control_baseline",
662
+ "script": "opt03_ftbc_threshold_balance.py",
663
+ "hf_folder": "applied/opt03_ftbc_threshold_balance",
664
+ "phase": 1,
665
+ "status": "ok",
666
+ "duration_s": 321.7,
667
+ "optimization_summary": {
668
+ "optimization": "ftbc_threshold_balance",
669
+ "research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)",
670
+ "reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024",
671
+ "script": "opt03_ftbc_threshold_balance.py",
672
+ "baseline_mode": true,
673
+ "method": "harmonic_matched",
674
+ "accuracy": {
675
+ "test_acc": 0.9421428571428572,
676
+ "test_target_acc": 0.9421428571428572,
677
+ "best_val_acc": 0.945
678
+ },
679
+ "efficiency": {
680
+ "spikes_per_inference": null,
681
+ "syn_ops_per_inference": 3271536.9975649347,
682
+ "dense_macs_per_inference": 122675200.0,
683
+ "event_fraction_of_dense": 0.026668283382174512,
684
+ "syn_ops_per_inference_dense_fanout": 64848154.78409091,
685
+ "weight_sparsity": 0.7324707846410685,
686
+ "effective_ticks": 12.079285714285714,
687
+ "num_ticks": 100,
688
+ "membrane_bytes_per_inference": 451200,
689
+ "weight_bytes": 4907008,
690
+ "input_raster_bytes": null,
691
+ "train_ms_per_step": 94.71398885000326,
692
+ "infer_ms_per_sample": 0.6264105418749466,
693
+ "peak_vram_mb": 2828.282368
694
+ },
695
+ "optimization_specific": {
696
+ "calibrate_thresh": false,
697
+ "ftbc": false,
698
+ "calib_percentile": 99.9,
699
+ "calib_batches": 8,
700
+ "ftbc_target_ticks": 8,
701
+ "ftbc_ref_ticks": 100,
702
+ "trained_T": 100,
703
+ "thresh_before": [
704
+ 1.0,
705
+ 1.0,
706
+ 1.0,
707
+ 1.0
708
+ ],
709
+ "thresh_after": null,
710
+ "min_ticks_within_1pct_of_full": null,
711
+ "min_ticks_within_1pct_per_arm": null,
712
+ "speedup_at_min_ticks": null,
713
+ "full_T_acc": null,
714
+ "t_sweep_rows": null,
715
+ "calibration_reference": "same network at full T (NOT a source ANN)"
716
+ },
717
+ "config": {
718
+ "method": "harmonic_matched",
719
+ "data_root": "/kaggle/working/data",
720
+ "subjects": "",
721
+ "blocks": "",
722
+ "limit": 0,
723
+ "drop_rest": true,
724
+ "resplit": "block",
725
+ "test_blocks": "6",
726
+ "class_weight": false,
727
+ "epochs": 60,
728
+ "batch_size": 64,
729
+ "lr": 0.002,
730
+ "weight_decay": 0.0005,
731
+ "grad_clip": 5.0,
732
+ "num_bins": 100,
733
+ "window_sec": 5.0,
734
+ "hidden": "512,256",
735
+ "freq_groups": 8,
736
+ "dropout": 0.3,
737
+ "spike_drop": 0.1,
738
+ "time_jitter": 2,
739
+ "label_smoothing": 0.05,
740
+ "no_batchnorm": false,
741
+ "binary_input": false,
742
+ "beta": 1.0,
743
+ "thresh": 1.0,
744
+ "window": 0.5,
745
+ "gain": 1.0,
746
+ "alpha": 0.9,
747
+ "readout": "spikecount",
748
+ "fake_quant": 0,
749
+ "amp": false,
750
+ "spike_reg": 0.0,
751
+ "event_eval": true,
752
+ "decision_margin": 2.0,
753
+ "export": false,
754
+ "seed": 1234,
755
+ "hub_dir": "/kaggle/working/hub/opt03_ftbc_threshold_balance/control_baseline",
756
+ "repo_id": "UWU-R-13/SSVEP-SNN",
757
+ "push_hf": false,
758
+ "keep_epoch_weights": 1,
759
+ "no_resume": true,
760
+ "selftest": false,
761
+ "baseline": true,
762
+ "bench": true,
763
+ "bench_warmup": 10,
764
+ "bench_iters": 50,
765
+ "bench_train_steps": 20,
766
+ "calibrate_thresh": true,
767
+ "calib_percentile": 99.9,
768
+ "calib_batches": 8,
769
+ "ftbc": true,
770
+ "ftbc_target_ticks": 8,
771
+ "ftbc_ref_ticks": 0,
772
+ "ftbc_lr": 1.0,
773
+ "t_sweep": "4,8,16,25,50,100",
774
+ "sampling_rate": 250.0
775
+ }
776
+ },
777
+ "zip": {
778
+ "name": "control_baseline.zip",
779
+ "files": 80,
780
+ "bytes": 12244248,
781
+ "MB": 12.2,
782
+ "sha256": "c24f218a83b9e351cc6d43ef1b51d7b3f9e3bfa86c64ae22f40bc90ce4f087a4"
783
+ }
784
  }
785
  ]