Welcome to **RoBERTArg**!

🤖 ** Training **: Model (RoBERTA_base_) fine-tuned on a heterogeneous argument corpus (~40K sentences, Stab et al. (2018) 📚) corpus of several controversial topics (abortion etc.).

🏷 Using ** NON-ARGUMENT ** (0) and ** ARGUMENT ** (1) as labels.

📊 ** Performance **
| Model | Acc | F1 | R arg | R non | P arg | P non |
|----|----|----|----|----|----|----|
| robertArg | 0.80577 | 0.78407| 0.8147 | 0.7989 | 0.7557 | 0.8496 |

** Confusion Matrix **
| | ** 1 ** | ** 0 ** |
|----|----|----|
| ** 1 ** | 2214 | 557 |
| ** 0 ** | 392 | 1723 |

👉🏾 Check out _chkla/argument-analyzer/_ for more details.

Enjoy and stay tuned! 🚀