mirror of
https://github.com/jung-geun/PSO.git
synced 2026-09-20 14:11:48 +09:00
jung-geun
813433000a
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
17 lines
3.5 KiB
CSV
17 lines
3.5 KiB
CSV
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,error
|
|
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,
|
|
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,
|
|
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,
|
|
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,
|
|
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,
|
|
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,
|
|
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,
|
|
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,
|
|
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,
|
|
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,
|
|
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,
|
|
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,
|
|
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,
|
|
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,
|
|
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,
|