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! 🚀