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jdt-fin-roberta-wwm
wangfan/jdt-fin-roberta-wwm
jdt-fin-roberta-wwm is a fill-mask model from wangfan. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
在众多业务中，越来越频繁的使用预训练语言模型（Pre-trained Language Models），为了在金融场景下各任务中取得更好效果，我们发布了jdt-fin-roberta-wwm模型
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 19, 2022
- SHA
- ef5ec78c
Try a prompt
Datasets
Model card
From the Hugging Face model README
在众多业务中，越来越频繁的使用预训练语言模型（Pre-trained Language Models），为了在金融场景下各任务中取得更好效果，我们发布了jdt-fin-roberta-wwm模型
模型&下载
base模型：12-layer, 768-hidden, 12-heads, 110M parameters
| 模型简称 | 京盘下载 |
|---|---|
| fin-roberta-wwm | Tensorflow/Pytorch |
| fin-roberta-wwm-large | todo |
快速加载
依托于Huggingface-Transformers，可轻松调用以上模型。
tokenizer = BertTokenizer.from_pretrained("MODEL_NAME")
model = BertModel.from_pretrained("MODEL_NAME")
注意：本目录中的所有模型均使用BertTokenizer以及BertModel加载，请勿使用RobertaTokenizer/RobertaModel！
其中MODEL_NAME对应列表如下：
| 模型名 | MODEL_NAME |
|---|---|
| fin-roberta-wwm | wangfan/jdt-fin-roberta-wwm |
| fin-roberta-wwm-large | todo |
任务效果
| Task | NER | 关系抽取 | 事件抽取 | 指标抽取 | 实体链接 | |:----:|:-- :|:------:|:-------:|:-------:|:------:| | Our |93.88| 79.02 | 91.99 | 94.28| 86.72 | | Roberta-wwm |93.47| 76.99 | 91.58 | 93.98| 85.20 |
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- zh
- Created
- Mar 2, 2022
- Updated
- May 19, 2022