Comments (5)
@lzhhha 假设在10%labeled data 设置下,一个epoch中labeled数据会重复9次;而对于baseline 来说,由于只有labeled data 故只重复一次(但是整体的训练epoch总数会放大一定的倍数,目的是为了保证有效的iter次数,例如10%labeled data的baseline模型大概会在55epoch的时候取得最佳性能;当然这个放大的倍数也不完全等于9,因为数据较少的时候,过多的iter会导致严重的过拟合,所以根据经验,10%数据的时候 baseline模型大概跑到55epoch的时候 就可以了)
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非常感谢您的解答,假设在10%labeled data 设置下,这样的话baseline的迭代数量大概是半监督的两倍多是吗?
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@lzhhha emm 其实看从什么维度对比,只关注epoch个数 那大概是2-3倍 但是真正的iteration次数 可能只是半监督的不到一半,甚至更少。
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好的明白,非常感谢您的回答
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@lzhhha 不客气~ 感谢关注
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