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下载了全量数据集,参数的话,只改了两个tower的dims为[256,128,64],其他没动,不管设置什么seed,最后出来的ctr auc总是0.5啊,cvr的看着还算正常,接近0.6.
The text was updated successfully, but these errors were encountered:
我没有改超参数,训练一个epoch之后,cvr的auc=1.0,ctr的auc是0.62
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模型训练完毕后,使用.predict对训练集进行预测后,使用预测结果计算auc的值与使用.evaluate评估的auc值不一致!不晓得问题出在哪里。
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下载了全量数据集,参数的话,只改了两个tower的dims为[256,128,64],其他没动,不管设置什么seed,最后出来的ctr auc总是0.5啊,cvr的看着还算正常,接近0.6.
The text was updated successfully, but these errors were encountered: