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! 🚀