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--- |
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language: |
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- zh |
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widget: |
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- text: 沪指收报3233.67点，涨0.15%，成交额3772亿元 |
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- 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 |
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- text: 人民币兑美元中间价报7.1498，下调286点 |
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- 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 |
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tags: |
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- generated_from_trainer |
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- finance |
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metrics: |
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- accuracy |
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model-index: |
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- name: bert-base-chinese-finetuning-financial-news-sentiment-test |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bert-base-chinese-finetuning-financial-news-sentiment-test |
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This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7692 |
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- Accuracy: 0.7964 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 250 | 0.6425 | 0.7660 | |
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| 0.4822 | 2.0 | 500 | 0.7692 | 0.7964 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.0 |
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- Tokenizers 0.13.3 |
