AlibabaResearch / AlibabaResearch/AdvancedLiterateMachinery

Final results' huge gap while using & not using pretrained weights?

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描述

I train the model without pretrained weights, the final results are as below [according to the paper, ser f1 should be 83.39%, re f1 should be 74.91%]:
![image](https://github.com/AlibabaResearch/AdvancedLiterateMachinery/assets/31800397/707e57cd-045c-43be-ba38-0486a6d96a8f)
However, when I train the model with pretrained weight, the results look much better. But decrease after several steps:
![image](https://github.com/AlibabaResearch/AdvancedLiterateMachinery/assets/31800397/48e27178-e059-419d-bc06-496b925c49ba)

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