PSO/benchmark_results/pso_v4_particle_scaling.csv at 6fe31394b9da8d89dff40c19974272b6852a28e9

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

Files

T

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

8.3 KiB

Raw Blame History

1	method	candidate_label	regimen	n_particles	epochs	particle_epochs	seed	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	fixed_epoch	30	80	2400	71	1.0238605737686157	0.6834999918937683	1.2778329849243164	0.5789999961853027	0.05719960853457451	2.591740084113553	dfe645918ece54c0	0777bd52fd76272d	mps
3	adaptive_moment	am_b0.06_s0.5	fixed_epoch	30	80	2400	72	1.0670214891433716	0.6604999899864197	1.199388861656189	0.6060000061988831	0.052410222589969635	2.7087553329765797	dfe645918ece54c0	6fcb6e473bdacbd2	mps
4	adaptive_moment	am_b0.06_s0.5	fixed_epoch	30	80	2400	73	0.9569582939147949	0.7014999985694885	1.1562552452087402	0.6389999985694885	0.051246583461761475	2.6669440830592066	dfe645918ece54c0	2e6c351372592f10	mps
5	adaptive_moment	am_b0.06_s0.5	fixed_epoch	30	80	2400	74	0.8988860845565796	0.718999981880188	1.0667707920074463	0.6589999794960022	0.047151338309049606	2.6316912909969687	dfe645918ece54c0	4000fe3fb26ef207	mps
6	adaptive_moment	am_b0.06_s0.5	fixed_epoch	30	80	2400	75	0.9674410820007324	0.7139999866485596	1.2670954465866089	0.6230000257492065	0.052300941199064255	2.8266918330918998	dfe645918ece54c0	0966039f5ef7af88	mps
7	adaptive_moment	am_b0.06_s0.5	fixed_epoch	60	80	4800	71	0.8341852426528931	0.7419999837875366	1.021918535232544	0.6729999780654907	0.0449918694794178	6.297774499980733	dfe645918ece54c0	0777bd52fd76272d	mps
8	adaptive_moment	am_b0.06_s0.5	fixed_epoch	60	80	4800	72	0.8334679007530212	0.7580000162124634	1.1486669778823853	0.6499999761581421	0.048473432660102844	5.944013542030007	dfe645918ece54c0	6fcb6e473bdacbd2	mps
9	adaptive_moment	am_b0.06_s0.5	fixed_epoch	60	80	4800	73	0.7845665216445923	0.7599999904632568	1.059795618057251	0.6589999794960022	0.04623967781662941	5.409191000042483	dfe645918ece54c0	2e6c351372592f10	mps
10	adaptive_moment	am_b0.06_s0.5	fixed_epoch	60	80	4800	74	0.8425021767616272	0.7400000095367432	1.0703872442245483	0.6610000133514404	0.046978432685136795	5.092122667003423	dfe645918ece54c0	4000fe3fb26ef207	mps
11	adaptive_moment	am_b0.06_s0.5	fixed_epoch	60	80	4800	75	0.7727756500244141	0.753000020980835	1.0723776817321777	0.6539999842643738	0.04744390770792961	5.18646250013262	dfe645918ece54c0	0966039f5ef7af88	mps
12	adaptive_moment	am_b0.06_s0.5	fixed_epoch	90	80	7200	71	0.6898615956306458	0.7910000085830688	0.8688502311706543	0.7310000061988831	0.03894031420350075	8.216789624886587	dfe645918ece54c0	0777bd52fd76272d	mps
13	adaptive_moment	am_b0.06_s0.5	fixed_epoch	90	80	7200	72	0.7159585952758789	0.781499981880188	0.9239839911460876	0.718999981880188	0.040356870740652084	8.96910895803012	dfe645918ece54c0	6fcb6e473bdacbd2	mps
14	adaptive_moment	am_b0.06_s0.5	fixed_epoch	90	80	7200	73	0.738656759262085	0.7760000228881836	0.9498289227485657	0.6959999799728394	0.04225980117917061	9.117825584020466	dfe645918ece54c0	2e6c351372592f10	mps
15	adaptive_moment	am_b0.06_s0.5	fixed_epoch	90	80	7200	74	0.7267816066741943	0.7770000100135803	0.954045295715332	0.6769999861717224	0.04218713194131851	8.722332582809031	dfe645918ece54c0	4000fe3fb26ef207	mps
16	adaptive_moment	am_b0.06_s0.5	fixed_epoch	90	80	7200	75	0.7104133367538452	0.7889999747276306	0.962693989276886	0.6930000185966492	0.04196783900260925	8.110321166925132	dfe645918ece54c0	0966039f5ef7af88	mps
17	adaptive_moment	am_b0.06_s0.5	fixed_epoch	120	80	9600	71	0.6516683101654053	0.7950000166893005	0.8584634065628052	0.7360000014305115	0.037673790007829666	11.962705624988303	dfe645918ece54c0	0777bd52fd76272d	mps
18	adaptive_moment	am_b0.06_s0.5	fixed_epoch	120	80	9600	72	0.6982801556587219	0.7914999723434448	0.9025362133979797	0.7239999771118164	0.038956169039011	11.906837583053857	dfe645918ece54c0	6fcb6e473bdacbd2	mps
19	adaptive_moment	am_b0.06_s0.5	fixed_epoch	120	80	9600	73	0.7527623772621155	0.7749999761581421	1.001193642616272	0.6919999718666077	0.04309915751218796	10.664651792030782	dfe645918ece54c0	2e6c351372592f10	mps
20	adaptive_moment	am_b0.06_s0.5	fixed_epoch	120	80	9600	74	0.6858600974082947	0.784500002861023	0.8601324558258057	0.7350000143051147	0.03845023736357689	10.921957665821537	dfe645918ece54c0	4000fe3fb26ef207	mps
21	adaptive_moment	am_b0.06_s0.5	fixed_epoch	120	80	9600	75	0.6326538324356079	0.8125	0.889915406703949	0.7300000190734863	0.03931796923279762	10.411899874918163	dfe645918ece54c0	0966039f5ef7af88	mps
22	adaptive_moment	am_b0.06_s0.5	fixed_budget	30	80	2400	71	1.0238605737686157	0.6834999918937683	1.2778329849243164	0.5789999961853027	0.05719960853457451	2.591740084113553	dfe645918ece54c0	0777bd52fd76272d	mps
23	adaptive_moment	am_b0.06_s0.5	fixed_budget	30	80	2400	72	1.0670214891433716	0.6604999899864197	1.199388861656189	0.6060000061988831	0.052410222589969635	2.7087553329765797	dfe645918ece54c0	6fcb6e473bdacbd2	mps
24	adaptive_moment	am_b0.06_s0.5	fixed_budget	30	80	2400	73	0.9569582939147949	0.7014999985694885	1.1562552452087402	0.6389999985694885	0.051246583461761475	2.6669440830592066	dfe645918ece54c0	2e6c351372592f10	mps
25	adaptive_moment	am_b0.06_s0.5	fixed_budget	30	80	2400	74	0.8988860845565796	0.718999981880188	1.0667707920074463	0.6589999794960022	0.047151338309049606	2.6316912909969687	dfe645918ece54c0	4000fe3fb26ef207	mps
26	adaptive_moment	am_b0.06_s0.5	fixed_budget	30	80	2400	75	0.9674410820007324	0.7139999866485596	1.2670954465866089	0.6230000257492065	0.052300941199064255	2.8266918330918998	dfe645918ece54c0	0966039f5ef7af88	mps
27	adaptive_moment	am_b0.06_s0.5	fixed_budget	60	40	2400	71	1.3702143430709839	0.5690000057220459	1.5396113395690918	0.49000000953674316	0.06583584100008011	2.6427467500325292	dfe645918ece54c0	0777bd52fd76272d	mps
28	adaptive_moment	am_b0.06_s0.5	fixed_budget	60	40	2400	72	1.3834563493728638	0.5490000247955322	1.564630150794983	0.5270000100135803	0.06432151794433594	2.897082625189796	dfe645918ece54c0	6fcb6e473bdacbd2	mps
29	adaptive_moment	am_b0.06_s0.5	fixed_budget	60	40	2400	73	1.239696979522705	0.6129999756813049	1.4340611696243286	0.5109999775886536	0.06299576163291931	2.8362932079471648	dfe645918ece54c0	2e6c351372592f10	mps
30	adaptive_moment	am_b0.06_s0.5	fixed_budget	60	40	2400	74	1.3051151037216187	0.593500018119812	1.4914799928665161	0.5370000004768372	0.06303515285253525	2.7601085831411183	dfe645918ece54c0	4000fe3fb26ef207	mps
31	adaptive_moment	am_b0.06_s0.5	fixed_budget	60	40	2400	75	1.23734712600708	0.6150000095367432	1.6433888673782349	0.47200000286102295	0.07071221619844437	2.791566374944523	dfe645918ece54c0	0966039f5ef7af88	mps
32	adaptive_moment	am_b0.06_s0.5	fixed_budget	90	27	2430	71	1.454797387123108	0.5099999904632568	1.7139235734939575	0.40400001406669617	0.07408219575881958	3.001450875075534	dfe645918ece54c0	0777bd52fd76272d	mps
33	adaptive_moment	am_b0.06_s0.5	fixed_budget	90	27	2430	72	1.436651349067688	0.5364999771118164	1.525922417640686	0.5180000066757202	0.06329239904880524	2.9281624578870833	dfe645918ece54c0	6fcb6e473bdacbd2	mps
34	adaptive_moment	am_b0.06_s0.5	fixed_budget	90	27	2430	73	1.5700972080230713	0.4805000126361847	1.7064924240112305	0.4180000126361847	0.07409033179283142	3.446030291961506	dfe645918ece54c0	2e6c351372592f10	mps
35	adaptive_moment	am_b0.06_s0.5	fixed_budget	90	27	2430	74	1.4872608184814453	0.5425000190734863	1.6065630912780762	0.5059999823570251	0.06642712652683258	3.13685941696167	dfe645918ece54c0	4000fe3fb26ef207	mps
36	adaptive_moment	am_b0.06_s0.5	fixed_budget	90	27	2430	75	1.4402897357940674	0.5699999928474426	1.5009552240371704	0.5450000166893005	0.06177634745836258	3.0350140419322997	dfe645918ece54c0	0966039f5ef7af88	mps
37	adaptive_moment	am_b0.06_s0.5	fixed_budget	120	20	2400	71	1.5967158079147339	0.4830000102519989	1.7100492715835571	0.43799999356269836	0.07075551897287369	3.14462749985978	dfe645918ece54c0	0777bd52fd76272d	mps
38	adaptive_moment	am_b0.06_s0.5	fixed_budget	120	20	2400	72	1.673862338066101	0.46149998903274536	1.8141505718231201	0.4099999964237213	0.07267315685749054	3.102293625008315	dfe645918ece54c0	6fcb6e473bdacbd2	mps
39	adaptive_moment	am_b0.06_s0.5	fixed_budget	120	20	2400	73	1.7135908603668213	0.4449999928474426	1.8838708400726318	0.375	0.0778227150440216	2.7550693340599537	dfe645918ece54c0	2e6c351372592f10	mps
40	adaptive_moment	am_b0.06_s0.5	fixed_budget	120	20	2400	74	1.5981744527816772	0.49950000643730164	1.7434691190719604	0.42399999499320984	0.07240629941225052	2.9445771670434624	dfe645918ece54c0	4000fe3fb26ef207	mps
41	adaptive_moment	am_b0.06_s0.5	fixed_budget	120	20	2400	75	1.635738730430603	0.46950000524520874	1.8486356735229492	0.4059999883174896	0.07580890506505966	3.1960245410446078	dfe645918ece54c0	0966039f5ef7af88	mps

8.3 KiB Raw Blame History

8.3 KiB

Raw Blame History