PSO/benchmark_results/pso_v4_tuning_confirmation.csv at 813433000a88847932627a59cb3a5b18b7019cb8

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

5.0 KiB

Raw Blame History

1	method	candidate_label	seed	n_particles	epochs	particle_epochs	train_loss	train_acc	test_loss	test_acc	test_mse	fit_time_sec	data_fingerprint	model_fingerprint	device
2	adaptive_moment	am_b0.06_s0.5	61	30	80	2400	1.0297304391860962	0.6644999980926514	1.2476433515548706	0.5960000157356262	0.054337989538908005	3.3018275420181453	dfe645918ece54c0	2a1760dc9ec95c0a	mps
3	adaptive_moment	am_b0.06_s0.5	62	30	80	2400	1.0248669385910034	0.6800000071525574	1.2172735929489136	0.6150000095367432	0.05301284044981003	3.082969541894272	dfe645918ece54c0	8722b0d78b78d382	mps
4	adaptive_moment	am_b0.06_s0.5	63	30	80	2400	1.0421160459518433	0.6690000295639038	1.2344101667404175	0.6190000176429749	0.052518151700496674	2.7472599998582155	dfe645918ece54c0	f9f62f1942f9151e	mps
5	adaptive_moment	am_b0.06_s0.5	64	30	80	2400	0.9773346185684204	0.7059999704360962	1.1978241205215454	0.6150000095367432	0.052042748779058456	2.670909541891888	dfe645918ece54c0	4cd40d38555ee5ce	mps
6	adaptive_moment	am_b0.06_s0.5	65	30	80	2400	1.0047204494476318	0.6959999799728394	1.2509828805923462	0.6079999804496765	0.05341806635260582	2.9130489169619977	dfe645918ece54c0	70f99d26e1303b76	mps
7	inertia	inertia_asymmetric	61	30	80	2400	1.0274338722229004	0.6735000014305115	1.2075469493865967	0.6320000290870667	0.051997773349285126	2.564156916923821	dfe645918ece54c0	2a1760dc9ec95c0a	mps
8	inertia	inertia_asymmetric	62	30	80	2400	0.9986715912818909	0.6855000257492065	1.2740414142608643	0.578000009059906	0.056466199457645416	2.5913295838981867	dfe645918ece54c0	8722b0d78b78d382	mps
9	inertia	inertia_asymmetric	63	30	80	2400	0.8828525543212891	0.7315000295639038	1.0797629356384277	0.6620000004768372	0.04682194069027901	2.6188287080731243	dfe645918ece54c0	f9f62f1942f9151e	mps
10	inertia	inertia_asymmetric	64	30	80	2400	0.9942940473556519	0.6865000128746033	1.2426005601882935	0.621999979019165	0.05173056200146675	2.534188667079434	dfe645918ece54c0	4cd40d38555ee5ce	mps
11	inertia	inertia_asymmetric	65	30	80	2400	1.0921698808670044	0.6729999780654907	1.2609055042266846	0.6209999918937683	0.052379049360752106	2.542070833966136	dfe645918ece54c0	70f99d26e1303b76	mps
12	constriction	constriction_c205_canonical	61	30	80	2400	1.0248574018478394	0.6919999718666077	1.2035431861877441	0.6299999952316284	0.05152203515172005	2.5165979999583215	dfe645918ece54c0	2a1760dc9ec95c0a	mps
13	constriction	constriction_c205_canonical	62	30	80	2400	1.1310851573944092	0.6700000166893005	1.3196481466293335	0.5849999785423279	0.055950723588466644	2.481917541939765	dfe645918ece54c0	8722b0d78b78d382	mps
14	constriction	constriction_c205_canonical	63	30	80	2400	1.0529502630233765	0.6644999980926514	1.2498247623443604	0.5789999961853027	0.05548400804400444	2.593008500058204	dfe645918ece54c0	f9f62f1942f9151e	mps
15	constriction	constriction_c205_canonical	64	30	80	2400	0.9444444179534912	0.7145000100135803	1.2384077310562134	0.6179999709129333	0.0526747927069664	2.4862103750929236	dfe645918ece54c0	4cd40d38555ee5ce	mps
16	constriction	constriction_c205_canonical	65	30	80	2400	0.9420643448829651	0.7105000019073486	1.219950795173645	0.6209999918937683	0.051569391041994095	2.5256920421961695	dfe645918ece54c0	70f99d26e1303b76	mps
17	local_best	local_best_r4_constant	61	30	80	2400	1.0233083963394165	0.703499972820282	1.1751943826675415	0.6549999713897705	0.050412945449352264	2.535716458922252	dfe645918ece54c0	2a1760dc9ec95c0a	mps
18	local_best	local_best_r4_constant	62	30	80	2400	1.0379226207733154	0.6970000267028809	1.2656233310699463	0.593999981880188	0.056342579424381256	2.5843862500041723	dfe645918ece54c0	8722b0d78b78d382	mps
19	local_best	local_best_r4_constant	63	30	80	2400	0.9664440751075745	0.7275000214576721	1.167758584022522	0.6570000052452087	0.049540925770998	2.485073500080034	dfe645918ece54c0	f9f62f1942f9151e	mps
20	local_best	local_best_r4_constant	64	30	80	2400	1.0115971565246582	0.703000009059906	1.1620168685913086	0.625	0.052118122577667236	2.467889874940738	dfe645918ece54c0	4cd40d38555ee5ce	mps
21	local_best	local_best_r4_constant	65	30	80	2400	1.0574767589569092	0.6959999799728394	1.286249041557312	0.6010000109672546	0.05573433265089989	2.488020292017609	dfe645918ece54c0	70f99d26e1303b76	mps
22	quantum	quantum_beta_0.4_0.9	61	30	80	2400	1.4583405256271362	0.5460000038146973	1.464557409286499	0.5320000052452087	0.06282258033752441	2.3820620418991894	dfe645918ece54c0	2a1760dc9ec95c0a	mps
23	quantum	quantum_beta_0.4_0.9	62	30	80	2400	1.5153175592422485	0.5084999799728394	1.5834708213806152	0.4650000035762787	0.0668596550822258	2.4394417498260736	dfe645918ece54c0	8722b0d78b78d382	mps
24	quantum	quantum_beta_0.4_0.9	63	30	80	2400	1.4202407598495483	0.5490000247955322	1.5065674781799316	0.4860000014305115	0.06405868381261826	2.3948492500931025	dfe645918ece54c0	f9f62f1942f9151e	mps
25	quantum	quantum_beta_0.4_0.9	64	30	80	2400	1.3938108682632446	0.5199999809265137	1.4775264263153076	0.46799999475479126	0.06637361645698547	2.3948124169837683	dfe645918ece54c0	4cd40d38555ee5ce	mps
26	quantum	quantum_beta_0.4_0.9	65	30	80	2400	1.3520328998565674	0.5724999904632568	1.5641074180603027	0.4779999852180481	0.06454122811555862	2.402772541856393	dfe645918ece54c0	70f99d26e1303b76	mps

5.0 KiB Raw Blame History

5.0 KiB

Raw Blame History