Comments (1)
sserdoubleh
commented on May 16, 2024
2
可以根据Knover/README.md（ https://github.com/PaddlePaddle/Knover/blob/master/README.md ）的提示准备好语料，可以使用sentencepiece工具（ https://github.com/google/sentencepiece ）处理生成词表，格式可以参照./package/dialog_en/voca.txt与./package/dialog_en/spm.model；或者使用已有的中文词表，如果是使用其他的Tokenizer（不是sentencepiece tokenizer），可以通过修改./utils/tokenization.py，参考SentencePiecieTokenizer的实现实现对应的Tokenizer（比如叫BasicTokneizer)，在配置中的train_args中指定Tokenizer即可（加一行train_args="--tokenizer BasicTokenizer"）
Line 124 in 15d5279
训练的具体操作与配置也可以参照
Knover/README.mdfrom knover.
Related Issues (20)
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- 请问Link theWorld这个论文中2.1节Service Information的service API是如何构建的
- Plato-KAG文档 HOT 1
- 加载数据时发现报错[WARN] Invalid example: context too long / no context - Example HOT 2
- WARN，读数据时显示context过长或无content HOT 1
- 使用single_gpu训练报错TypeError: __new__() got multiple values for argument data_id HOT 4
- PLATO stage-1训练之后output里没有输出 HOT 1
- InvalidArgumentError: Broadcast dimension mismatch HOT 2
- PLATO stage1训练发现内存一直在增长，训练到9w步后，出现内存溢出，这是什么原因？ HOT 4
- PLATO-KAG生成的回复能否使用NSP模型的score排序 HOT 2
- 关于PLATO-KAG模型部署后的回答生成 HOT 2
- Release of training code for QKConv HOT 11
- KAG训练中mean_mlm_ce指标的意义是什么 HOT 2
- KAG训练中mean_mlm_ce指标的意义是什么
- lr scheduler参数设置 HOT 4
- Changing the allowed maximum conversation length in Plato-2 HOT 1
- Using PLATO-XL for inference on 3 or more GPUs HOT 2
- Methods of PLATO-KAG pre-training for other languages
- 训练plato2.2L
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