PSO/benchmark_results/pso_v8_post_training_ensemble.csv at master

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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

2.8 KiB

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1	Workload	Phase	Method	Accuracy	NLL	Brier	ECE	Margin	WallTimeSeconds	ParameterMultiplier	InferenceMultiplier
2	mnist	validation	reference_single_10e	98.2300	0.060105	0.027982	0.003458	0.969858	0.0000	1.0	1.0
3	mnist	validation	best_single_10e	98.2900	0.054029	0.025526	0.002795	0.971419	0.0000	1.0	1.0
4	mnist	validation	single_50e	98.5200	0.073988	0.024922	0.009463	0.989411	0.0000	1.0	1.0
5	mnist	validation	uniform_ensemble	98.6300	0.046385	0.021527	0.006228	0.965339	0.0000	5.0	5.0
6	mnist	validation	uniform_temperature	98.6300	0.045355	0.021099	0.002518	0.972273	0.0412	5.0	5.0
7	mnist	validation	slsqp_weights	98.6000	0.045902	0.021307	0.005994	0.965581	0.0097	5.0	5.0
8	mnist	validation	pso_weights	98.6100	0.045902	0.021307	0.005893	0.965582	1.8925	5.0	5.0
9	mnist	official_test	reference_single_10e	98.4700	0.044991	0.022366	0.003516	0.970575	0.0000	1.0	1.0
10	mnist	official_test	best_single_10e	98.5500	0.044944	0.022052	0.002515	0.974650	0.0000	1.0	1.0
11	mnist	official_test	single_50e	98.6000	0.062102	0.022912	0.008283	0.988829	0.0000	1.0	1.0
12	mnist	official_test	uniform_ensemble	98.8600	0.036184	0.018010	0.006311	0.968415	0.0000	5.0	5.0
13	mnist	official_test	uniform_temperature	98.8600	0.034129	0.017658	0.003340	0.974869	0.0000	5.0	5.0
14	mnist	official_test	slsqp_weights	98.8300	0.036179	0.017989	0.005818	0.969195	0.0000	5.0	5.0
15	mnist	official_test	pso_weights	98.8300	0.036178	0.017989	0.005817	0.969196	0.0000	5.0	5.0
16	fashion_mnist	validation	reference_single_10e	89.4700	0.303799	0.150671	0.012197	0.808017	0.0000	1.0	1.0
17	fashion_mnist	validation	best_single_10e	89.4700	0.303799	0.150671	0.012197	0.808017	0.0000	1.0	1.0
18	fashion_mnist	validation	single_50e	90.3200	0.289660	0.142115	0.024556	0.869484	0.0000	1.0	1.0
19	fashion_mnist	validation	uniform_ensemble	90.2800	0.286751	0.142881	0.023702	0.795588	0.0000	5.0	5.0
20	fashion_mnist	validation	uniform_temperature	90.2800	0.285048	0.141557	0.011886	0.814383	0.0414	5.0	5.0
21	fashion_mnist	validation	slsqp_weights	90.4200	0.285338	0.142289	0.023705	0.798413	0.0104	5.0	5.0
22	fashion_mnist	validation	pso_weights	90.4200	0.285338	0.142289	0.023661	0.798397	1.8963	5.0	5.0
23	fashion_mnist	official_test	reference_single_10e	88.9000	0.314516	0.161465	0.005320	0.805307	0.0000	1.0	1.0
24	fashion_mnist	official_test	best_single_10e	88.9000	0.314516	0.161465	0.005320	0.805307	0.0000	1.0	1.0
25	fashion_mnist	official_test	single_50e	89.9300	0.302348	0.148289	0.026401	0.865728	0.0000	1.0	1.0
26	fashion_mnist	official_test	uniform_ensemble	89.6500	0.293522	0.151400	0.019111	0.791698	0.0000	5.0	5.0
27	fashion_mnist	official_test	uniform_temperature	89.6500	0.291996	0.150581	0.007597	0.810594	0.0000	5.0	5.0
28	fashion_mnist	official_test	slsqp_weights	89.5400	0.291696	0.150558	0.017186	0.794293	0.0000	5.0	5.0
29	fashion_mnist	official_test	pso_weights	89.5400	0.291700	0.150559	0.017378	0.794274	0.0000	5.0	5.0

2.8 KiB Raw Permalink Blame History

2.8 KiB

Raw Permalink Blame History