Skip to content

jxlin98/CWS

Repository files navigation

CWS

This is a CWS implementation using bert for pku dataset

Requirements

  • Python (tested on 3.7.11)
  • numpy (tested on 1.21.5)
  • CUDA (tested on 11.3)
  • PyTorch (tested on 1.10.1)
  • Transformers (tested on 4.15.0)

Files

bert-base-chinese is the bert pretrain model for chinese
checkpoint saves the best model parameter
datasets contains the pku CWS dataset
result saves the test result and score
scripts contains the script for evaluation

data.py reads the pku CWS dataset
model.py implements the model
train.py and test.py are for train and test
utils.py contains some data structure and functions
result.sh runs the script for evaluation

Train and Test

>> python train.py  # for train
>> python test.py  # for test and the result will be saved in result dir
>> bash result.sh  # run the script for evaluation
>> cat result/score.txt  # see the result

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published