| --- |
| library_name: transformers |
| language: |
| - zh |
| license: apache-2.0 |
| base_model: hfl/chinese-bert-wwm-ext |
| tags: |
| - generated_from_trainer |
| datasets: |
| - chinese_paragraph_relevance |
| metrics: |
| - accuracy |
| model-index: |
| - name: chinese_paragraph_bert-ext |
| results: |
| - task: |
| name: Multiple Choice |
| type: multiple-choice |
| dataset: |
| name: Chinese Relevance Paragraphs |
| type: chinese_paragraph_relevance |
| args: relevant_paragraph |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.9617813229560852 |
| --- |
| |
| <!-- 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. --> |
|
|
| # chinese_paragraph_bert-ext |
|
|
| This model is a fine-tuned version of [hfl/chinese-bert-wwm-ext](https://huggingface.co/hfl/chinese-bert-wwm-ext) on the Chinese Relevance Paragraphs dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1717 |
| - Accuracy: 0.9618 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
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|
| More information needed |
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|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3.0 |
|
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| ### Training results |
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| ### Framework versions |
|
|
| - Transformers 4.45.0.dev0 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.0 |
| - Tokenizers 0.19.1 |
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|
