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README.md
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---
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library_name: transformers
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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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model-index:
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- name: bert-base-chinese-finetuned-question-answering-8
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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-finetuned-question-answering-8
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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: 1.0682
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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: 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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.6873 | 0.1842 | 500 | 1.1089 |
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| 1.1046 | 0.3683 | 1000 | 0.9349 |
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| 0.9793 | 0.5525 | 1500 | 0.9402 |
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| 0.9477 | 0.7366 | 2000 | 0.8424 |
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| 0.8951 | 0.9208 | 2500 | 0.8333 |
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| 0.6411 | 1.1050 | 3000 | 0.9014 |
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| 0.4946 | 1.2891 | 3500 | 0.9121 |
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| 0.4887 | 1.4733 | 4000 | 0.8586 |
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| 0.4875 | 1.6575 | 4500 | 0.9060 |
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| 0.4483 | 1.8416 | 5000 | 0.7990 |
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| 0.4079 | 2.0258 | 5500 | 0.9980 |
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| 0.2337 | 2.2099 | 6000 | 1.0852 |
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| 0.2342 | 2.3941 | 6500 | 1.0850 |
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| 0.2239 | 2.5783 | 7000 | 1.0937 |
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| 0.1853 | 2.7624 | 7500 | 1.1032 |
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| 0.2009 | 2.9466 | 8000 | 1.0682 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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