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: bert-finetuned-TENBOOK
results: []
bert-finetuned-TENBOOK
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:94.61
- f1:94.61
- 由于f1的计算方式有所错误,f1指标的参考性可以忽略
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2