Text Classifcation using BERT

Classify Text/Document in different classes using pre-trained BERT encoder.

Classify the given text files into the following classes.

Prerequisites

Follow these steps to set up and run your project.

Create a new virtual environment using conda:
```
conda create -n classification python
```
Activate the virtual environment:
```
conda activate classifcation
```

Clone the repository

git clone https://github.com/shulavkarki/Text-Classifcation-using-BERT

Navigate to the project repository:
```
cd Text-Classifcation-using-BERT
```
Install the required packages, libraries and frameworks:
```
pip install -r requirements.txt
```
Training:
```
python train.py
```
Evaluation:
```
python evaluate.py
```

Change the config for different training configuration according to your device.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
models		models
utils		utils
.gitignore		.gitignore
README.md		README.md
evaluate.py		evaluate.py
requirements.txt		requirements.txt
train.py		train.py