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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-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1
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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-wallstreetcn-morning-news-market-overview-open-000001SH-v1
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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: 0.8149
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- Accuracy: 0.6207
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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 | 38 | 0.6936 | 0.4483 |
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| No log | 2.0 | 76 | 0.6850 | 0.5862 |
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| No log | 3.0 | 114 | 0.6977 | 0.5862 |
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| No log | 4.0 | 152 | 0.6579 | 0.6207 |
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| No log | 5.0 | 190 | 0.7235 | 0.4483 |
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| No log | 6.0 | 228 | 0.6601 | 0.7241 |
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| No log | 7.0 | 266 | 0.6510 | 0.6897 |
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| No log | 8.0 | 304 | 0.7066 | 0.7241 |
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| No log | 9.0 | 342 | 0.8716 | 0.6552 |
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| No log | 10.0 | 380 | 0.8149 | 0.6207 |
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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 2.14.2
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- Tokenizers 0.13.3
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