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--- |
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base_model: bert-base-chinese |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: test_20241111084845 |
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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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# test_20241111084845 |
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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: 1.3881 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.4553 | 1.0 | 10 | 1.4085 | |
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| 1.4171 | 2.0 | 20 | 1.3980 | |
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| 1.3818 | 3.0 | 30 | 1.4007 | |
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| 1.3472 | 4.0 | 40 | 1.4040 | |
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| 1.2685 | 5.0 | 50 | 1.3881 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Tokenizers 0.19.1 |
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