| 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! 🚀 |