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Smile0524 avatar Smile0524 commented on May 19, 2024

博主你好,根据你们开源出来的代码复现后,初始的logic acc=0.796,execut acc=0.846左右,然后自己做了一部分的修改,包括当预测的cond_conn_op为0时只选取分数最高的value、改用取value排序分数前两个等,指标提升到了logic acc=0.8323,execut acc=0.8781,但是跟你们ppt里面的logic acc=0.87还是有比较大的差距,所以想请问下你们还有什么其他的后处理操作嘛,或者能够给一点提示建议什么的,十分感激~
您好,我复现了代码之后,在model2 pre_sql中预测的conds有很多是空的,代码啥的都没动,想问下这是怎么回事,很多空的情况下计算logic_acc只有27%。这块有点不太明白。

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beader avatar beader commented on May 19, 2024

您好,我复现了代码之后,在model2 pre_sql中预测的conds有很多是空的,代码啥的都没动,想问下这是怎么回事,很多空的情况下计算logic_acc只有27%。这块有点不太明白。

你的问题问的太不具体了,很难帮到你

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Smile0524 avatar Smile0524 commented on May 19, 2024

您好,我复现了代码之后,在model2 pre_sql中预测的conds有很多是空的,代码啥的都没动,想问下这是怎么回事,很多空的情况下计算logic_acc只有27%。这块有点不太明白。

你的问题问的太不具体了,很难帮到你

抱歉我可能没表达明白,就是我运行了这个代码后发现结果不好。我对代码的改动只有:因为现在测试集的标签是不公开的,所以我用了验证集代替了测试集。模型训练好之后对验证集进行预测,然后用预测结果与验证集的标签进行了比较,计算了各子任务准确率,最终其他还行,val的准确率只有57%,整体逻辑形式准确率只有27%,与您的线上结果相差甚远。所以想咨询一下您,可能是什么原因导致的。代码我只把测试集路径改成了验证集,其他没动。

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