| 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! 🚀 |