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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: bert-finetuned-ViolentSmallFarmers-10-0.000002
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. -->
# bert-finetuned-ViolentSmallFarmers-10-0.000002
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-06
- 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
### Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2