Comments (3)
mattzheng
commented on August 25, 2024
1
感谢作者的开源~
aspect_user.yaml训练成功，本想用训练好的模型，用自己的数据试一下，好像一直没跑通，卡在makeVocabulary/makeData。
通过天池下载了的TaoDescribe数据集是源数据集；通过download_preprocessed_tao.py下载的是预处理的。
源数据集 -> 预处理数据过程中，在preprocess.py文件中：
其中，In src files, <x> <y> means this product is intended to show with aspect <x> and user category <y>中，aspect <x>这个定义没给出？
自问自答一下。。在api.py中有DescriptionGenerator，稍微修改一下.yaml 和 DescriptionGenerator函数就可以预测了。。
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yuulin
commented on August 25, 2024
api.py具体怎么修改呢？
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qibinc
commented on August 25, 2024
在 api.py 中把用到这些tag的部分，换成您自己的tag就可以了～
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Related Issues (20)
- Issue with evaluating model with beam search HOT 4
- Named entity to match product title with knowledge graph HOT 2
- Explaination about your preprocessed data HOT 3
- Failed to download the processed training data HOT 1
- detail user category HOT 1
- At the end of the run, the bleu score can no longer be improved at around 6. HOT 5
- Is there any dataset in English? HOT 1
- how long does the training process last?Could u please provide the training result? HOT 3
- How do you build the fact file in raw data? HOT 8
- Good name! HOT 1
- inference HOT 2
- 请问怎么在自己的数据集上做finetune和推理？ HOT 4
- Error when preprocessing dataset HOT 1
- Why did you delete bi-attention code? HOT 2
- English language dataset HOT 1
- 关于模型的generate的API试用问题 HOT 1
- ignore this issue
- 关于24-V2训练
- WandB Link?
- 请问有图生文的部分吗
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