PSO/benchmark_results/pso_v4_120p80_replication.csv at 4b18c0ed5e6f70471c469953408ec89abaa38033

mirror of https://github.com/jung-geun/PSO.git synced 2026-09-20 14:11:48 +09:00

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jung-geun 813433000a feat: modernize PSO and add convergence research

Migrate the package and examples to the tensor-native PyTorch implementation, add benchmark evidence, and add the guarded post-training convergence protocol with TensorBoard progress monitoring and hash-verified recovery.

Constraint: Preserve one-shot official-test sealing and auditable research artifacts

Rejected: Commit local .omc runs and downloaded datasets | multi-gigabyte runtime state is machine-local

Confidence: high

Scope-risk: broad

Not-tested: Production CUDA run on pieroot-server

2026-09-07 22:03:25 +09:00

3.5 KiB

Raw Blame History

1	cohort	method	candidate_label	regimen	seed	n_particles	epochs	particle_epochs	train_loss	train_acc	test_loss	test_acc	test_mse	fit_time_sec	data_fingerprint	model_fingerprint	device	completed
2	baseline	adaptive_moment	am_b0.06_s0.5	fixed_epoch	71	120	80	9600	0.6516683101654053	0.7950000166893005	0.8584634065628052	0.7360000014305115	0.037673790007829666	11.962705624988303	dfe645918ece54c0	0777bd52fd76272d	mps	True
3	baseline	adaptive_moment	am_b0.06_s0.5	fixed_epoch	72	120	80	9600	0.6982801556587219	0.7914999723434448	0.9025362133979797	0.7239999771118164	0.038956169039011	11.906837583053857	dfe645918ece54c0	6fcb6e473bdacbd2	mps	True
4	baseline	adaptive_moment	am_b0.06_s0.5	fixed_epoch	73	120	80	9600	0.7527623772621155	0.7749999761581421	1.001193642616272	0.6919999718666077	0.04309915751218796	10.664651792030782	dfe645918ece54c0	2e6c351372592f10	mps	True
5	baseline	adaptive_moment	am_b0.06_s0.5	fixed_epoch	74	120	80	9600	0.6858600974082947	0.784500002861023	0.8601324558258057	0.7350000143051147	0.03845023736357689	10.921957665821537	dfe645918ece54c0	4000fe3fb26ef207	mps	True
6	baseline	adaptive_moment	am_b0.06_s0.5	fixed_epoch	75	120	80	9600	0.6326538324356079	0.8125	0.889915406703949	0.7300000190734863	0.03931796923279762	10.411899874918163	dfe645918ece54c0	0966039f5ef7af88	mps	True
7	replay	adaptive_moment	am_b0.06_s0.5	fixed_epoch	71	120	80	9600	0.6516683101654053	0.7950000166893005	0.8584634065628052	0.7360000014305115	0.037673790007829666	11.090910458937287	dfe645918ece54c0	0777bd52fd76272d	mps	True
8	replay	adaptive_moment	am_b0.06_s0.5	fixed_epoch	72	120	80	9600	0.6982801556587219	0.7914999723434448	0.9025362133979797	0.7239999771118164	0.038956169039011	10.668682500021532	dfe645918ece54c0	6fcb6e473bdacbd2	mps	True
9	replay	adaptive_moment	am_b0.06_s0.5	fixed_epoch	73	120	80	9600	0.7527623772621155	0.7749999761581421	1.001193642616272	0.6919999718666077	0.04309915751218796	11.617381499847397	dfe645918ece54c0	2e6c351372592f10	mps	True
10	replay	adaptive_moment	am_b0.06_s0.5	fixed_epoch	74	120	80	9600	0.6858600974082947	0.784500002861023	0.8601324558258057	0.7350000143051147	0.03845023736357689	12.46007908298634	dfe645918ece54c0	4000fe3fb26ef207	mps	True
11	replay	adaptive_moment	am_b0.06_s0.5	fixed_epoch	75	120	80	9600	0.6326538324356079	0.8125	0.889915406703949	0.7300000190734863	0.03931796923279762	11.499297459144145	dfe645918ece54c0	0966039f5ef7af88	mps	True
12	independent	adaptive_moment	am_b0.06_s0.5	fixed_epoch	81	120	80	9600	0.7000858783721924	0.781000018119812	0.9081020355224609	0.7250000238418579	0.039418451488018036	10.6923490408808	dfe645918ece54c0	b9e1b8cbb9345add	mps	True
13	independent	adaptive_moment	am_b0.06_s0.5	fixed_epoch	82	120	80	9600	0.6899945139884949	0.796999990940094	0.9245963096618652	0.718999981880188	0.03965267166495323	11.110405791085213	dfe645918ece54c0	f1a0025f5b3b5b7c	mps	True
14	independent	adaptive_moment	am_b0.06_s0.5	fixed_epoch	83	120	80	9600	0.6943607330322266	0.7929999828338623	0.8056192398071289	0.7609999775886536	0.034950967878103256	10.71645870897919	dfe645918ece54c0	9cb7fe904bf992ac	mps	True
15	independent	adaptive_moment	am_b0.06_s0.5	fixed_epoch	84	120	80	9600	0.7076351046562195	0.7885000109672546	0.8160682320594788	0.7429999709129333	0.0366184301674366	10.859140583081171	dfe645918ece54c0	b833ebd886fce382	mps	True
16	independent	adaptive_moment	am_b0.06_s0.5	fixed_epoch	85	120	80	9600	0.6802449822425842	0.7875000238418579	0.8681835532188416	0.7319999933242798	0.038917701691389084	10.97266870806925	dfe645918ece54c0	e6bdf9e5d849521b	mps	True

3.5 KiB Raw Blame History

3.5 KiB

Raw Blame History