add run calib_p99.99
Browse files
applied/opt03_ftbc_threshold_balance/calib_p99.99.summary.json
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| 1 |
+
{
|
| 2 |
+
"key": "opt03_ftbc_threshold_balance/calib_p99.99",
|
| 3 |
+
"tag": "calib_p99.99",
|
| 4 |
+
"script": "opt03_ftbc_threshold_balance.py",
|
| 5 |
+
"script_sha256_16": "b61e2bfeb6416b99",
|
| 6 |
+
"hf_folder": "applied/opt03_ftbc_threshold_balance",
|
| 7 |
+
"priority": 1,
|
| 8 |
+
"note": "",
|
| 9 |
+
"phase": 3,
|
| 10 |
+
"n_phases": 10,
|
| 11 |
+
"method": "harmonic_matched",
|
| 12 |
+
"command": [
|
| 13 |
+
"/usr/bin/python3",
|
| 14 |
+
"-m",
|
| 15 |
+
"torch.distributed.run",
|
| 16 |
+
"--standalone",
|
| 17 |
+
"--nproc_per_node=2",
|
| 18 |
+
"/kaggle/working/scripts/opt03_ftbc_threshold_balance.py",
|
| 19 |
+
"--method",
|
| 20 |
+
"harmonic_matched",
|
| 21 |
+
"--data-root",
|
| 22 |
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"/kaggle/working/data",
|
| 23 |
+
"--epochs",
|
| 24 |
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"60",
|
| 25 |
+
"--seed",
|
| 26 |
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"1234",
|
| 27 |
+
"--batch-size",
|
| 28 |
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"64",
|
| 29 |
+
"--event-eval",
|
| 30 |
+
"--no-resume",
|
| 31 |
+
"--decision-margin",
|
| 32 |
+
"2.0",
|
| 33 |
+
"--hub-dir",
|
| 34 |
+
"/kaggle/working/hub/opt03_ftbc_threshold_balance/calib_p99.99",
|
| 35 |
+
"--keep-epoch-weights",
|
| 36 |
+
"1",
|
| 37 |
+
"--resplit",
|
| 38 |
+
"block",
|
| 39 |
+
"--drop-rest",
|
| 40 |
+
"--bench",
|
| 41 |
+
"--calib-percentile",
|
| 42 |
+
"99.99"
|
| 43 |
+
],
|
| 44 |
+
"flags": [
|
| 45 |
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"--calib-percentile",
|
| 46 |
+
"99.99"
|
| 47 |
+
],
|
| 48 |
+
"epochs_requested": 60,
|
| 49 |
+
"gpus": 2,
|
| 50 |
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"relative_epoch_cost": 1.0,
|
| 51 |
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"exit_code": 0,
|
| 52 |
+
"status": "ok",
|
| 53 |
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"duration_s": 377.5,
|
| 54 |
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"started_utc": "2026-08-23T04:01:50.527321+00:00",
|
| 55 |
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"finished_utc": "2026-08-23T04:08:08.048136+00:00",
|
| 56 |
+
"optimization_summary": {
|
| 57 |
+
"optimization": "ftbc_threshold_balance",
|
| 58 |
+
"research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)",
|
| 59 |
+
"reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024",
|
| 60 |
+
"script": "opt03_ftbc_threshold_balance.py",
|
| 61 |
+
"baseline_mode": false,
|
| 62 |
+
"method": "harmonic_matched",
|
| 63 |
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"accuracy": {
|
| 64 |
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"test_acc": 0.9342857142857143,
|
| 65 |
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"test_target_acc": 0.9342857142857143,
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| 66 |
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"best_val_acc": 0.9485714285714286
|
| 67 |
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},
|
| 68 |
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"efficiency": {
|
| 69 |
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"spikes_per_inference": null,
|
| 70 |
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"syn_ops_per_inference": 3246424.559253247,
|
| 71 |
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"dense_macs_per_inference": 122675200.0,
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| 72 |
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"event_fraction_of_dense": 0.026463576658144815,
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| 73 |
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"syn_ops_per_inference_dense_fanout": 64823042.345779225,
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| 74 |
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"weight_sparsity": 0.7324707846410685,
|
| 75 |
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"effective_ticks": 12.131428571428572,
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| 76 |
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"num_ticks": 100,
|
| 77 |
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| 78 |
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"weight_bytes": 4907008,
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| 79 |
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| 80 |
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| 81 |
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|
| 82 |
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"peak_vram_mb": 2823.921152
|
| 83 |
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},
|
| 84 |
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"optimization_specific": {
|
| 85 |
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"calibrate_thresh": true,
|
| 86 |
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"ftbc": true,
|
| 87 |
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"calib_percentile": 99.99,
|
| 88 |
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"calib_batches": 8,
|
| 89 |
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"ftbc_target_ticks": 8,
|
| 90 |
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"ftbc_ref_ticks": 100,
|
| 91 |
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"trained_T": 100,
|
| 92 |
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| 93 |
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1.0,
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| 94 |
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| 95 |
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| 96 |
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1.0
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| 97 |
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],
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| 98 |
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"thresh_after": [
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| 99 |
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| 100 |
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| 101 |
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| 102 |
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| 103 |
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],
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| 104 |
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"min_ticks_within_1pct_of_full": null,
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| 105 |
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"min_ticks_within_1pct_per_arm": {
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| 106 |
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"raw": 100,
|
| 107 |
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|
| 108 |
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|
| 109 |
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"both": null
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| 110 |
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},
|
| 111 |
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| 112 |
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| 113 |
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| 114 |
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{
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| 115 |
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| 116 |
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| 117 |
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| 121 |
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| 123 |
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