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README.md
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---
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base_model: bert-base-chinese
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-v3
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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-wallstreetcn-morning-news-market-overview-SSEC-v3
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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: 3.1007
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- Accuracy: 0.6875
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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: 2e-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: 10
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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 | 34 | 2.2173 | 0.7188 |
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| No log | 2.0 | 68 | 1.8368 | 0.7188 |
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| No log | 3.0 | 102 | 2.7822 | 0.625 |
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| No log | 4.0 | 136 | 2.3597 | 0.7188 |
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| No log | 5.0 | 170 | 3.3032 | 0.5312 |
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| No log | 6.0 | 204 | 2.9527 | 0.6562 |
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| No log | 7.0 | 238 | 2.7575 | 0.6875 |
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| No log | 8.0 | 272 | 2.9714 | 0.6875 |
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| No log | 9.0 | 306 | 3.0941 | 0.6875 |
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| No log | 10.0 | 340 | 3.1007 | 0.6875 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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