End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: hfl/chinese-macbert-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vulnerability-severity-classification-chinese-macbert-base
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# vulnerability-severity-classification-chinese-macbert-base
+
+This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6067
+- Accuracy: 0.7879
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.6429        | 1.0   | 3388  | 0.5812          | 0.7539   |
+| 0.5979        | 2.0   | 6776  | 0.5498          | 0.7721   |
+| 0.5451        | 3.0   | 10164 | 0.5438          | 0.7844   |
+| 0.3867        | 4.0   | 13552 | 0.5636          | 0.7871   |
+| 0.3479        | 5.0   | 16940 | 0.6067          | 0.7879   |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.7.1+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

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