Files
PSO/benchmark_results/pso_v4_tuning_confirmation.csv
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

27 lines
5.0 KiB
CSV

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
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
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
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
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
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
inertia,inertia_asymmetric,61,30,80,2400,1.0274338722229004,0.6735000014305115,1.2075469493865967,0.6320000290870667,0.051997773349285126,2.564156916923821,dfe645918ece54c0,2a1760dc9ec95c0a,mps
inertia,inertia_asymmetric,62,30,80,2400,0.9986715912818909,0.6855000257492065,1.2740414142608643,0.578000009059906,0.056466199457645416,2.5913295838981867,dfe645918ece54c0,8722b0d78b78d382,mps
inertia,inertia_asymmetric,63,30,80,2400,0.8828525543212891,0.7315000295639038,1.0797629356384277,0.6620000004768372,0.04682194069027901,2.6188287080731243,dfe645918ece54c0,f9f62f1942f9151e,mps
inertia,inertia_asymmetric,64,30,80,2400,0.9942940473556519,0.6865000128746033,1.2426005601882935,0.621999979019165,0.05173056200146675,2.534188667079434,dfe645918ece54c0,4cd40d38555ee5ce,mps
inertia,inertia_asymmetric,65,30,80,2400,1.0921698808670044,0.6729999780654907,1.2609055042266846,0.6209999918937683,0.052379049360752106,2.542070833966136,dfe645918ece54c0,70f99d26e1303b76,mps
constriction,constriction_c205_canonical,61,30,80,2400,1.0248574018478394,0.6919999718666077,1.2035431861877441,0.6299999952316284,0.05152203515172005,2.5165979999583215,dfe645918ece54c0,2a1760dc9ec95c0a,mps
constriction,constriction_c205_canonical,62,30,80,2400,1.1310851573944092,0.6700000166893005,1.3196481466293335,0.5849999785423279,0.055950723588466644,2.481917541939765,dfe645918ece54c0,8722b0d78b78d382,mps
constriction,constriction_c205_canonical,63,30,80,2400,1.0529502630233765,0.6644999980926514,1.2498247623443604,0.5789999961853027,0.05548400804400444,2.593008500058204,dfe645918ece54c0,f9f62f1942f9151e,mps
constriction,constriction_c205_canonical,64,30,80,2400,0.9444444179534912,0.7145000100135803,1.2384077310562134,0.6179999709129333,0.0526747927069664,2.4862103750929236,dfe645918ece54c0,4cd40d38555ee5ce,mps
constriction,constriction_c205_canonical,65,30,80,2400,0.9420643448829651,0.7105000019073486,1.219950795173645,0.6209999918937683,0.051569391041994095,2.5256920421961695,dfe645918ece54c0,70f99d26e1303b76,mps
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
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
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
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
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
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
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
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
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
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