| --- |
| license: apache-2.0 |
| language: |
| - zh |
| pipeline_tag: question-answering |
| library_name: transformers |
| --- |
| --- |
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| library_name: transformers |
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| license: apache-2.0 |
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| base_model: bert-base-chinese |
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| tags: |
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| - question-answering |
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| - generated_from_trainer |
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| metrics: '{"exact": 58.711182388103225, "f1": 58.7488457987073, "total": 6859, "HasAns_exact": |
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| 34.578402366863905, "HasAns_f1": 34.67393984220908, "HasAns_total": 2704, "NoAns_exact": |
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| 74.41636582430806, "NoAns_f1": 74.41636582430806, "NoAns_total": 4155, "best_exact": |
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| 63.58069689459105, "best_exact_thresh": 8.853434701450169e-05, "best_f1": 63.59284638188268, |
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| "best_f1_thresh": 8.853434701450169e-05}' |
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| model-index: |
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| - name: rag-qa-base-bert |
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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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| # rag-qa-base-bert |
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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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| ## 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: 2e-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: 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: 3 |
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| - mixed_precision_training: Native AMP |
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| ### Training results |
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| ### Framework versions |
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| - Transformers 4.57.3 |
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| - Pytorch 2.11.0+cu128 |
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| - Datasets 5.0.0 |
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| - Tokenizers 0.22.2 |
