使用 BERT 做中文文本分类，基于 Transformers
代码用于食品安全评论数据集，若应用于其他数据集请自行更改util.py文件。
foodsafe_data放入源文件：train.csv，test_new.csv, sample.csv 直接从o2o比赛页面下载，无需改名 https://www.datafountain.cn/competitions/370
foodsafe_data也保存结果文件：result.csv线上成绩 0.9277。
output是模型保存路径和验证结果保存路径。
运行环境：python 3，pytorch 1.1，transformers 2.1.1。
运行方式：先运行split_dataset.py， 再修改run.bat中的model_name_or_path为你自己的bert预训练模型路径，再运行 run.bat 即可。
GPU：1080 Ti （可通过降低序列长度和 batch size 来减弱对显存的要求）
model_name_or_path那个预训练模型路径下是放的pytorch_model.bin吗，我bat运行报错了
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