Create README.md

README.md

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+---
+language: zh
+widget: 
+- text: "这句话是谁说的？"
+  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。"
+- text: "这句话是谁说的？"
+  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。"
+- text: "这句话是谁说的？"
+  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。"
+- text: "这句话是谁说的？"
+  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。"
+tags:
+- generated_from_trainer
+model-index:
+- name: pert-finetuned-TENBOOK-epoch
+  results: []
+---
+
+<!-- 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. -->
+
+# pert-finetuned-TENBOOK-epoch
+
+This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+- exact_match:95.17
+- f1:95.76
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.12.1
+- Datasets 2.7.1
+- Tokenizers 0.13.2