Comments (2)
第一,代码预处理 io 操作全是直接读进内存处理,尤其是 word vec 文件处理,会消耗大量内存。自己看看数据处理代码的部分,优化一下 io。最好单独把预处理,和训练部分,分离开,单独运行。如果没有开始训练就 out of memory 那就是这个问题了。
第二,如果开始训练还 out,显卡显存不够了,kaggle好像是 11G。减小batch size。也可以改半精度,就是FGM代码也要该。或者用Colab,看能不能白嫖到 16G 卡。
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好的好的,感谢!我再多看看代码
from 2020ccf-ner.
Related Issues (12)
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- pu learning
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- 缺少token_train_data.json 和 token_test_data.json HOT 1
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- TextEncoder处理FLAT input时,char_word_mask及part_size计算方式的问题 HOT 2
- 缺少train_data HOT 4
- 您好,请问为何训练时精度、召回率、调和平均数均为0呢,代码其他没有修改,仅注释convert2json,请问这是什么原因呢?
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