metadata

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: []

pert-finetuned-TENBOOK-epoch

This model is a fine-tuned version of 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