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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: hfl/chinese-macbert-base |
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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: vulnerability-severity-classification-chinese-macbert-base |
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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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# vulnerability-severity-classification-chinese-macbert-base |
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This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6118 |
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- Accuracy: 0.7832 |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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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| 0.5706 | 1.0 | 3511 | 0.5875 | 0.7503 | |
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| 0.5364 | 2.0 | 7022 | 0.5596 | 0.7702 | |
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| 0.5483 | 3.0 | 10533 | 0.5518 | 0.7768 | |
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| 0.4161 | 4.0 | 14044 | 0.5757 | 0.7838 | |
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| 0.351 | 5.0 | 17555 | 0.6118 | 0.7832 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.9.1+cu128 |
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- Datasets 4.4.1 |
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- Tokenizers 0.22.1 |
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