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 | 0.8193 | 0.8021 | 0.8463 | 0.7986 | 0.7623 | 0.8719 |

**Confusion Matrix**

| | 1 | 0 |
|----|----|----|
| 1 | 2213 | 558 |
| 0 | 325 | 1790 |

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

Enjoy and stay tuned! 🚀