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--- |
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language: zh |
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widget: |
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- text: "这句话是谁说的？" |
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context: "“老大，你太牛逼了，把敌人军火库都给炸了，我真的佩服的五体投地，我现在忍不住想看看你藏的东西在哪里，我们快点出发吧。”代号零听完郭旭刚刚的讲述笑的拍手一直叫好。" |
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- text: "这句话是谁说的？" |
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context: "“妈，你别哭了，我这不是好着呢吗？”郭旭扶着母亲的肩膀笑着说。" |
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- text: "这句话是谁说的？" |
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context: "“总统先生，看来我们这一次在劫难逃了，大乘期的恐怖，远远超出了我们的想象，我还有一些后手能尽量拖延他一点时间，你们先走，我让我的鬼奴随你们去，去这个地方或许能保你们一线生机！”郭旭说完便偷偷地将黑暗空间的阴阳珠交给了陈天。" |
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- text: "这句话是谁说的？" |
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context: "“也罢，能活一个是一个吧！他还那么年轻？”却是剑傲天摇了摇头无奈的说道。" |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-finetuned-TENBOOK |
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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-finetuned-TENBOOK |
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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: 16 |
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- eval_batch_size: 16 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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- exact_match:94.61 |
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- f1:94.61 |
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- 由于f1的计算方式有所错误，f1指标的参考性可以忽略 |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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