TSPulse 模型能力验证报告
========================================
设备: Apple MPS
评估集样本数: 140

[1] 损失收敛曲线 (epoch: train / val)
  epoch   1: train 0.49377 / val 0.33041
  epoch   2: train 0.35256 / val 0.32077
  epoch   3: train 0.34754 / val 0.31910
  epoch   4: train 0.34129 / val 0.31998
  epoch   5: train 0.33505 / val 0.29960
  epoch   6: train 0.29839 / val 0.26043
  epoch   7: train 0.27106 / val 0.23832
  epoch   8: train 0.24574 / val 0.21504
  epoch   9: train 0.21309 / val 0.17202
  epoch  10: train 0.17596 / val 0.14037
  epoch  11: train 0.14785 / val 0.11632
  epoch  12: train 0.11950 / val 0.09108
  epoch  13: train 0.10143 / val 0.07853
  epoch  14: train 0.09263 / val 0.07861
  epoch  15: train 0.08870 / val 0.07181
  epoch  16: train 0.08490 / val 0.07039
  epoch  17: train 0.08113 / val 0.06641
  epoch  18: train 0.07840 / val 0.06707
  epoch  19: train 0.07561 / val 0.06043
  epoch  20: train 0.07447 / val 0.06288
  epoch  21: train 0.07330 / val 0.05902
  epoch  22: train 0.07147 / val 0.06108
  epoch  23: train 0.07110 / val 0.05982
  epoch  24: train 0.06957 / val 0.05904
  epoch  25: train 0.06943 / val 0.05856
  epoch  26: train 0.06864 / val 0.05805
  epoch  27: train 0.06786 / val 0.05800
  epoch  28: train 0.06890 / val 0.05940
  epoch  29: train 0.06792 / val 0.05725

[3] 评估集重构 MSE: 0.05667

[4] 指纹健康检查
  向量形状: (140, 128)
  全部有限值: True
  128 维中退化维数(std<1e-6): 0

[2] 指纹区分度
  平均同部位距离: 0.160397
  平均跨部位距离: 4.646139
  同部位/跨部位比值: 0.0345 (应明显 < 1)

结论: 通过