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Tongjilibo avatar Tongjilibo commented on May 17, 2024

Epoch 1/50
2000/2000 [==============================] - 193s 97ms/step - loss: 0.0078
Evaluation: 100%|█████████████████████████████████████████| 1159/1159 [00:32<00:00, 35.58it/s]
[val] f1: 0.90232, p: 0.92398 r: 0.88164

这是我本地跑的，你是用同样的数据集吗？也没有改动代码？

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Tongjilibo avatar Tongjilibo commented on May 17, 2024

如果是使用你自己的数据集，不传入steps_per_epoch或者设置为None，表示跑一个完整的epoch，然后检查下数据处理部分代码，看看结果咋样？

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zhangyujie209 avatar zhangyujie209 commented on May 17, 2024

我用的人民日报数据集，也没动过代码，在colab上跑的

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Tongjilibo avatar Tongjilibo commented on May 17, 2024

我在colab上是可以跑起来的，如下截图，请检查你是否成功加载了预训练模型，或者先在本机调试下看看
微信截图_20220427191110

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zhangyujie209 avatar zhangyujie209 commented on May 17, 2024

我感觉是BERT版本原因，作者大大使用的是哪个版本的BERT，我换了huggingface里的bert-base-chinese版本第一轮的还是0,第二轮以后开始慢慢提升，但是收敛速度很慢，到17轮F1到了93多

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Tongjilibo avatar Tongjilibo commented on May 17, 2024

我感觉是BERT版本原因，作者大大使用的是哪个版本的BERT，我换了huggingface里的bert-base-chinese版本第一轮的还是0,第二轮以后开始慢慢提升，但是收敛速度很慢，到17轮F1到了93多

您好，是的，因为你用的bert-base-chinese的权重的key和本框架没有完全对齐，导致Laynorm层的权重和偏置未成功加载，可以使用转化脚本修改一下，本项目使用到的部分数据集下载链接，直接加载的checkpoint清单

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zhangyujie209 avatar zhangyujie209 commented on May 17, 2024

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