This is a finetuned XLM-RoBERTA model for natural language inference. It has been trained with a massive ammount of data following the ANLI pipeline training. We include data from:
- mnli {train, dev and test}
- snli {train, dev and test}
- xnli {train, dev and test}
- fever {train, dev and test}
- anli {train}
The model is validated on ANLI training sets, including R1, R2 and R3. The following results can be expected on the testing splits.
| Split | Accuracy |
|---|---|
| R1 | 0.6610 |
| R2 | 0.4990 |
| R3 | 0.4425 |
Multilabels
label2id={
"contradiction": 0,
"entailment": 1,
"neutral": 2,
},