README.md

metadata

language:
  - zh
license: apache-2.0
tags:
  - bert
  - NLU
  - NLI
inference: false

Erlangshen-Roberta-110M-Semtiment, model (Chinese)，one model of Fengshenbang-LM.

We collect 8 paraphrace datasets in the Chinese domain for finetune, with a total of 227347 samples. Our model is mainly based on roberta

Usage

from transformers import BertForSequenceClassification
from transformers import BertTokenizer
import torch

tokenizer=BertTokenizer.from_pretrained('IDEA-CCNL/Erlangshen-Roberta-110M-Sentiment')
model=BertForSequenceClassification.from_pretrained('IDEA-CCNL/Erlangshen-Roberta-110M-Sentiment')

text='今天心情不好'

output=model(torch.tensor([tokenizer.encode(text)]))
print(torch.nn.functional.softmax(output.logits,dim=-1))

Scores on downstream chinese tasks（The dev datasets of BUSTM and AFQMC may exist in the train set）

Model	ASAP-SENT	ASAP-ASPECT	ChnSentiCorp
Erlangshen-Roberta-110M-Sentiment	97.77	97.31	96.61
Erlangshen-Roberta-330M-Sentiment	97.9	97.51	96.66

Citation

If you find the resource is useful, please cite the following website in your paper.

@misc{Fengshenbang-LM,
  title={Fengshenbang-LM},
  author={IDEA-CCNL},
  year={2021},
  howpublished={\url{https://github.com/IDEA-CCNL/Fengshenbang-LM}},
}