pytorch jax roberta text-classification en transformers
.gitattributes README.md config.json flax_model.msgpack merges.txt pytorch_model.bin scheduler.pt special_tokens_map.json tokenizer_config.json trainer_state.json training_args.bin vocab.json
---
language: 
- en
tags:
- text-classification
metrics:
- accuracy (balanced)
- F1 (weighted)
widget:
- text: "All non-essential work activity will stop in Spain from tomorrow until 9 April but there is some confusion as to which jobs can continue under the new lockdown restrictions"
---

# Covid-Policy-RoBERTa-21
This model is currently in development at the Centre for European Policy Studies (CEPS).

The model is not yet recommended for use. A more detailed description will follow.

If you are interested in using deep learning to identify 20 different types policy measures against COVID-19 in text (NPIs, "non-pharmaceutical interventions") don't hesitate to [contact me](https://www.ceps.eu/ceps-staff/moritz-laurer/).