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--- |
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license: gpl-3.0 |
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base_model: ckiplab/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-QA-b8-10 |
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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-QA-b8-10 |
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This model is a fine-tuned version of [ckiplab/bert-base-chinese](https://huggingface.co/ckiplab/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: 2.2089 |
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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: 3e-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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.6954 | 1.0 | 3460 | 0.6796 | |
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| 0.4258 | 2.0 | 6920 | 0.7508 | |
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| 0.2531 | 3.0 | 10380 | 0.9322 | |
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| 0.1966 | 4.0 | 13840 | 1.1784 | |
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| 0.1188 | 5.0 | 17300 | 1.3782 | |
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| 0.0737 | 6.0 | 20760 | 1.7469 | |
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| 0.0711 | 7.0 | 24220 | 1.9550 | |
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| 0.0286 | 8.0 | 27680 | 2.0503 | |
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| 0.0196 | 9.0 | 31140 | 2.1233 | |
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| 0.0106 | 10.0 | 34600 | 2.2089 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.5.2 |
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- Tokenizers 0.13.3 |
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