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你好，我们的BERT-wwm-ext（tf）模型做ner和情感分类任务，在相同的配置也指定了随机种子的情况下，两次运行结果不同，换了google的BERT或roBERTa都不会出现这个问题。用部分样本训练发现，样本不多（20条）时结果是一样的，但训练样本大以后，结果就不同了。不知道什么原因，谢谢你的解答。
sirlb updated
3 years ago
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* Contextualized Topic Models version: 1.8.2
* Python version: 3.6
* Operating System: Windows 10
### Description
Hey guys... I'm trying to use CTM's for Topic Modeling answers of a survey. Th…
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train.sh模型找不到
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## Environment info
- `transformers` version: 4.4.dev0
- Platform: Ubuntu 18
- Python version: 3.7
- PyTorch version (GPU?): 1.7.1 (YES)
- Tensorflow version (GPU?):
- Using GPU in script?: …
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I'm sorry to bother you again.
I wanna know whether the codes of paper ( ' A BERT-based two-stage model for Chinese Chengyu recommendation ' about two-stage) are only using ' train_pretrain.py ' an…
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Dear Authors,
Thanks for open sourcing the code. I tried pretrain 100k steps and finetune on vqav2, but my dev-test score is about 65, unlike the 70.8 on the paper.
Here is my pretrain and finetu…
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**Question**
I was wondering if it works with Spanish document databases?
**Additional context**
Also is it possible to use mongodb?
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When I run the membertret, I dont find several files.
1、/home/zhengchujie/bert_torch/chinese_wwm_pytorch/bert_config.json&vocab.txt&pytorch_model.bin
As a result, I download an alternative in http…
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