Comments (4)
您好,请问您使用的是deepke中哪个方法?麻烦您提供一些细节便于我们帮助您
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您好,请问您使用的是deepke中哪个方法?麻烦您提供一些细节便于我们帮助您
您好,就是使用re中DeepKE\example\re\document 篇章级别的关系抽取方法,就是使用咱们提供的DocRED数据。也是按照现有的代码正常训练和预测的。
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您好,非常感谢您对我们工作的关注。
- test数据结果预测的是实体对之间的关系,这里应该不涉及sent_id。
- num_class代表了关系种类的数量,num_labels表示的应该是论文中公式10-11中的balanced softmax类别,您可以在源码里看一下具体细节。
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感谢解答,关于num_labels我明白了,看了一下h_idx是头实体,t_idx是尾实体,r是关系。h_idx t_idx是指在vertexSet中的索引,之前误认为是pos[]了。再次感谢
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Related Issues (20)
- 评估模型使用的proccess数据集 HOT 2
- deepke-llm是否适配GLM4? HOT 2
- 怎么调试这个代码 HOT 4
- 在lora微调oneke时,有两个数据格式未明确 HOT 14
- LLM微调OneKE HOT 13
- 执行标准RE示例代码时“UnboundLocalError: local variable 'x' referenced before assignment” HOT 2
- 为什么ner/standard/run_bert.py报错 HOT 12
- 运行run_lstmcrf.py时hydra-core老是报错 HOT 6
- hydra/output下custom.yaml和train,yaml的定义(define)顺序问题??? HOT 3
- 运行ner/predict.py程序后NER的checkpoints默认路径放在DeepKE下,而不是放在ner/standard下,如何进行修改? HOT 2
- 没用代理,re中输入y后报错 HOT 6
- max_source_length, max_target_length, cutoff_len含义 HOT 4
- wget 120.27.214.45/Data/triple/PRGC/data.tar.gz下载数据的时候 404 not Found HOT 4
- lora微调llm是报错 HOT 2
- 继续lora微调时报错KeyError: 'response' HOT 4
- 中文实体抽取模型选择 HOT 2
- 使用vscode对多模态命名体进行调试问题 HOT 16
- NER json格式不支持 HOT 31
- 关于大模型生成的知识图谱准确性的判断 HOT 2
- 模型选择 HOT 3
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