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--- |
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base_model: bert-base-chinese |
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metrics: |
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- accuracy |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-base-chinese-climate-related-prediction-v2 |
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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-climate-related-prediction-v2 |
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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: 0.5613 |
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- Accuracy: 0.96 |
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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 | 175 | 0.4095 | 0.97 | |
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| No log | 2.0 | 350 | 0.4708 | 0.96 | |
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| 0.0 | 3.0 | 525 | 0.5164 | 0.96 | |
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| 0.0 | 4.0 | 700 | 0.5271 | 0.96 | |
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| 0.0 | 5.0 | 875 | 0.5314 | 0.96 | |
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| 0.0 | 6.0 | 1050 | 0.5414 | 0.96 | |
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| 0.0 | 7.0 | 1225 | 0.5507 | 0.96 | |
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| 0.0 | 8.0 | 1400 | 0.5575 | 0.96 | |
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| 0.0 | 9.0 | 1575 | 0.5597 | 0.96 | |
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| 0.0 | 10.0 | 1750 | 0.5613 | 0.96 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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