metadata

language:
  - zh
widget:
  - text: 沪指收报3233.67点，涨0.15%，成交额3772亿元
  - text: >-
      中国5月新增社融和新增人民币贷款均较去年同期下降，社融新增1.56万亿元，居民中长期贷款增加1684亿元，居民存款增加5364亿元，M2-M1剪刀差缩窄
  - text: 人民币兑美元中间价报7.1498，下调286点
  - text: 发改委等八部门：支持符合条件的产教融合型企业上市融资
tags:
  - generated_from_trainer
  - finance
metrics:
  - accuracy
model-index:
  - name: bert-base-chinese-finetuning-financial-news-sentiment-test
    results: []

bert-base-chinese-finetuning-financial-news-sentiment-test

This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7692
Accuracy: 0.7964

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	250	0.6425	0.7660
0.4822	2.0	500	0.7692	0.7964

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3