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加入实验输出（批次 2/14）

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gloamxun
2026-09-23 23:32:30 +08:00
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deep_learning/Q1/outputs/alignment_debug/synthetic/metrics.csv
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method,variant,modality,normalized_entropy,trajectory_span,mean_absolute_time_center_error,gaussian_target_kl
M3,M3,audio,0.8146468997001648,0.8359371423721313,0.013887446373701096,9.780584514373913e-05
M3,M3,vision,0.7763938903808594,0.8398178815841675,0.01340858917683363,0.00010334514081478119
M4,M4_noPE,text,0.7359679937362671,0.8448824286460876,0.012279374524950981,3.1862964533502236e-05
M4,M4_noPE,audio,0.8146815299987793,0.8352469801902771,0.013536815531551838,3.071938408538699e-05
M4,M4_noPE,vision,0.7764220833778381,0.8389295339584351,0.01305430568754673,2.4961129383882508e-05
M4,M4_sinPE,text,0.7359594702720642,0.8448947072029114,0.012278751470148563,3.472105890978128e-05
M4,M4_sinPE,audio,0.8146712183952332,0.8352407217025757,0.01353506837040186,2.7729740395443514e-05
M4,M4_sinPE,vision,0.776414155960083,0.8389100432395935,0.013054125010967255,2.3926369976834394e-05
1 method variant modality normalized_entropy trajectory_span mean_absolute_time_center_error gaussian_target_kl
2 M3 M3 audio 0.8146468997001648 0.8359371423721313 0.013887446373701096 9.780584514373913e-05
3 M3 M3 vision 0.7763938903808594 0.8398178815841675 0.01340858917683363 0.00010334514081478119
4 M4 M4_noPE text 0.7359679937362671 0.8448824286460876 0.012279374524950981 3.1862964533502236e-05
5 M4 M4_noPE audio 0.8146815299987793 0.8352469801902771 0.013536815531551838 3.071938408538699e-05
6 M4 M4_noPE vision 0.7764220833778381 0.8389295339584351 0.01305430568754673 2.4961129383882508e-05
7 M4 M4_sinPE text 0.7359594702720642 0.8448947072029114 0.012278751470148563 3.472105890978128e-05
8 M4 M4_sinPE audio 0.8146712183952332 0.8352407217025757 0.01353506837040186 2.7729740395443514e-05
9 M4 M4_sinPE vision 0.776414155960083 0.8389100432395935 0.013054125010967255 2.3926369976834394e-05