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! 🚀