bert-for-ukranian-ner

This repository contains I part of my bachelor's project

Demonstration

Focal Loss Plot

Accuracy Plot

How to setup an environment?

This template use poetry to manage dependencies of your project.

First you need to install poetry.

Then if you use conda (recommended) to manage environments (to use regular virtualenvenv just skip this step):

• tell poetry not to create new virtualenv for you

  (instead poetry will use currently activated virtualenv):

  poetry config virtualenvs.create false

• create new conda environment for your project (change env name for your desired one):

  conda create -n bert_for_ner python=3.8

• actiave environment:

  conda activate bert_for_ner

Now you are ready to add dependencies to your project. For this use add command:

poetry add scikit-learn torch <any_package_you_need>

Next run poetry install to check your final state are even with configs.

After that add changes to git and commit them git add pyproject.toml poetry.lock

Finally add pre-commit hooks to git: pre-commit install