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Walleclipse avatar Walleclipse commented on June 6, 2024

你好,

  1. 按照你说的在验证集上为基准保存模型然后用于测试集也是可以的。但是 iWildCam_2019_FGVC6 这个问题当中测试集与验证集分布非常不一样。所以验证集上好的模型很有可能在测试集上不太好 (有可能过拟合到验证集上了)，所以我就训练固定步数，采取了特定步数的模型来计算测试集。 但是一般的问题当中，如果验证集和测试集分布差别不大，那么按照你说的验证集上的性能保存的方法确实很好。
  2. 我就训练了固定的步数，比如20个epoch，然后把这个当做最后的模型。我反而觉得根据验证集性能保存有更高的随机性。

from iwildcam_2019_fgvc6.

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