mirror of
https://github.com/jung-geun/PSO.git
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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
30 lines
2.8 KiB
CSV
30 lines
2.8 KiB
CSV
Workload,Phase,Method,Accuracy,NLL,Brier,ECE,Margin,WallTimeSeconds,ParameterMultiplier,InferenceMultiplier
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mnist,validation,reference_single_10e,98.2300,0.060105,0.027982,0.003458,0.969858,0.0000,1.0,1.0
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mnist,validation,best_single_10e,98.2900,0.054029,0.025526,0.002795,0.971419,0.0000,1.0,1.0
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mnist,validation,single_50e,98.5200,0.073988,0.024922,0.009463,0.989411,0.0000,1.0,1.0
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mnist,validation,uniform_ensemble,98.6300,0.046385,0.021527,0.006228,0.965339,0.0000,5.0,5.0
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mnist,validation,uniform_temperature,98.6300,0.045355,0.021099,0.002518,0.972273,0.0412,5.0,5.0
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mnist,validation,slsqp_weights,98.6000,0.045902,0.021307,0.005994,0.965581,0.0097,5.0,5.0
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mnist,validation,pso_weights,98.6100,0.045902,0.021307,0.005893,0.965582,1.8925,5.0,5.0
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mnist,official_test,reference_single_10e,98.4700,0.044991,0.022366,0.003516,0.970575,0.0000,1.0,1.0
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mnist,official_test,best_single_10e,98.5500,0.044944,0.022052,0.002515,0.974650,0.0000,1.0,1.0
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mnist,official_test,single_50e,98.6000,0.062102,0.022912,0.008283,0.988829,0.0000,1.0,1.0
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mnist,official_test,uniform_ensemble,98.8600,0.036184,0.018010,0.006311,0.968415,0.0000,5.0,5.0
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mnist,official_test,uniform_temperature,98.8600,0.034129,0.017658,0.003340,0.974869,0.0000,5.0,5.0
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mnist,official_test,slsqp_weights,98.8300,0.036179,0.017989,0.005818,0.969195,0.0000,5.0,5.0
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mnist,official_test,pso_weights,98.8300,0.036178,0.017989,0.005817,0.969196,0.0000,5.0,5.0
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fashion_mnist,validation,reference_single_10e,89.4700,0.303799,0.150671,0.012197,0.808017,0.0000,1.0,1.0
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fashion_mnist,validation,best_single_10e,89.4700,0.303799,0.150671,0.012197,0.808017,0.0000,1.0,1.0
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fashion_mnist,validation,single_50e,90.3200,0.289660,0.142115,0.024556,0.869484,0.0000,1.0,1.0
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fashion_mnist,validation,uniform_ensemble,90.2800,0.286751,0.142881,0.023702,0.795588,0.0000,5.0,5.0
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fashion_mnist,validation,uniform_temperature,90.2800,0.285048,0.141557,0.011886,0.814383,0.0414,5.0,5.0
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fashion_mnist,validation,slsqp_weights,90.4200,0.285338,0.142289,0.023705,0.798413,0.0104,5.0,5.0
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fashion_mnist,validation,pso_weights,90.4200,0.285338,0.142289,0.023661,0.798397,1.8963,5.0,5.0
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fashion_mnist,official_test,reference_single_10e,88.9000,0.314516,0.161465,0.005320,0.805307,0.0000,1.0,1.0
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fashion_mnist,official_test,best_single_10e,88.9000,0.314516,0.161465,0.005320,0.805307,0.0000,1.0,1.0
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fashion_mnist,official_test,single_50e,89.9300,0.302348,0.148289,0.026401,0.865728,0.0000,1.0,1.0
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fashion_mnist,official_test,uniform_ensemble,89.6500,0.293522,0.151400,0.019111,0.791698,0.0000,5.0,5.0
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fashion_mnist,official_test,uniform_temperature,89.6500,0.291996,0.150581,0.007597,0.810594,0.0000,5.0,5.0
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fashion_mnist,official_test,slsqp_weights,89.5400,0.291696,0.150558,0.017186,0.794293,0.0000,5.0,5.0
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fashion_mnist,official_test,pso_weights,89.5400,0.291700,0.150559,0.017378,0.794274,0.0000,5.0,5.0
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