Extending NERDA Library for Continual Learning
Project description
NERDA-Con
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}
}
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