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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-SSE50-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-wallstreetcn-morning-news-market-overview-SSE50-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: 0.7025 |
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- Accuracy: 0.7879 |
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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 | 0.7253 | 0.3939 | |
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| No log | 2.0 | 68 | 0.6520 | 0.6061 | |
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| No log | 3.0 | 102 | 0.6079 | 0.6970 | |
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| No log | 4.0 | 136 | 0.5872 | 0.6667 | |
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| No log | 5.0 | 170 | 0.4618 | 0.7879 | |
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| No log | 6.0 | 204 | 0.4237 | 0.7879 | |
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| No log | 7.0 | 238 | 0.6489 | 0.6667 | |
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| No log | 8.0 | 272 | 0.5943 | 0.8182 | |
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| No log | 9.0 | 306 | 0.7921 | 0.7879 | |
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| No log | 10.0 | 340 | 0.7025 | 0.7879 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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