Comments (2)
你好,由于不了解你的数据集,我也不太确定为什么training set上的Accuracy没有提升。
不过有几个地方你可以尝试一下,首先可以看出loss还有很大的下降空间,因此你可以试一下,把epoch(-e选项)调高,例如800或1200。另外你还可以尝试调节一下learning rate(-lr选项)。此外,可以看出MLLP的结果远好于CRS,这可能是由于random binarization rate(-p选项)设置的不合理。
不过我更推荐你使用我们最新的工作https://github.com/12wang3/rrl,该工作同样可以学习离散规则,并能够直接优化离散模型,还有更好的可扩展性。
from mllp.
好的感谢建议
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