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在自己数据库中继续微调UniMC时,为了防止模型过拟合,只记住数据中占多数的选项的位置,所以特意在构造数据时打乱了对应选项choice的位置。 数据集规模:4k 微调后发现,同样的输入,调整不同的选项位置后,造成预测的答案分布不一致。
请问这样的情况,之前是否有遇到,如果遇到有什么比较合适的解决方案吗?
The text was updated successfully, but these errors were encountered:
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在自己数据库中继续微调UniMC时,为了防止模型过拟合,只记住数据中占多数的选项的位置,所以特意在构造数据时打乱了对应选项choice的位置。
数据集规模:4k
微调后发现,同样的输入,调整不同的选项位置后,造成预测的答案分布不一致。
请问这样的情况,之前是否有遇到,如果遇到有什么比较合适的解决方案吗?
The text was updated successfully, but these errors were encountered: