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README.md

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@@ -97,7 +97,7 @@ instruction4是采样序列标记的方式,将实体的标签<type></type>嵌
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## 2、微调过程与结果
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实验主要对比上述四种指令效果,其中_64,_128为p-tuning 中soft prompt设置超参数,​chatgml是采样P-tuning方式,baichuan2是采样lora方式。我们可以看出:我们可以看出:
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![image](https://github.com/cjymz886/LLM-NER/blob/main/data/llm_ner.png)
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![image](https://github.com/cjymz886/LLM-NER/blob/main/data/llm_ner.jpg)
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### 结果分析 <br/>
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