Metadata-Version: 2.1
Name: NERDA_Con
Version: 0.0
Summary: Extending NERDA Library for Continual Learning
Home-page: https://github.com/SupritiVijay/NERDA-Con
Author: Supriti Vijay, Aman Priyanshu
Author-email: supriti.vijay@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# NERDA-Con <img src="https://raw.githubusercontent.com/SupritiVijay/NERDA-Con/main/logo.png" align="right" height=350/>

Extending NERDA Library for Continual Learning

## Installation Guide

`pip install NERDA-Con`

## Implementation and Execution

### Training

`model.train_next_task(training,validation)`

The `training` and `validation` must be NERDA-optimized dataloaders.

### Evaluation

`model.evaluate_performance(test)`

### Shared Model

To set shared model parameters, 

`model.shared_model = model.transformer_model`

## NERDA

Nerda is a framework for fine-tuning pretrained transformers for Named-Entity Recognition (NER) tasks.
```
@inproceedings{nerda,
  title = {NERDA},
  author = {Kjeldgaard, Lars and Nielsen, Lukas},
  year = {2021},
  publisher = {{GitHub}},
  url = {https://github.com/ebanalyse/NERDA}
}
```

## Cite This Work

```
@inproceedings{nerda-con,
  title = {NERDA-Con},
  author = {Supriti Vijay, Aman Priyanshu},
  year = {2022},
  publisher = {{GitHub}},
  url = {https://github.com/SupritiVijay/NERDA-Con}
}

``` 



