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您好: 我尝试基于t5_base模型进行预训练pretrain,数据量较少大概3000多条,训练了1000步,结果输出基本全是“”的“”,如下: input= "中extra0的首都是extra1京" output=[{'generated_text': 'extra0 的 extra1 的 extra2 extra3'}] 请问我这是过拟合了破坏原来模型参数了?? 哪位大神指导一下
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您好:
我尝试基于t5_base模型进行预训练pretrain,数据量较少大概3000多条,训练了1000步,结果输出基本全是“”的“”,如下:
input= "中extra0的首都是extra1京"
output=[{'generated_text': 'extra0 的 extra1 的 extra2 extra3'}]
请问我这是过拟合了破坏原来模型参数了??
哪位大神指导一下
The text was updated successfully, but these errors were encountered: