|
--- |
|
pipeline_tag: text-classification |
|
tags: |
|
- natural-language-inference |
|
- misogyny |
|
language: en |
|
license: apache-2.0 |
|
widget: |
|
- text: "Las mascarillas causan hipoxia. Wearing masks is harmful to human health" |
|
example_title: "Natural Language Inference" |
|
--- |
|
|
|
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](https://cims.nyu.edu/~sbowman/multinli/) {train, dev and test} |
|
- [snli](https://nlp.stanford.edu/projects/snli/) {train, dev and test} |
|
- [xnli](https://github.com/facebookresearch/XNLI) {train, dev and test} |
|
- [fever](https://fever.ai/resources.html) {train, dev and test} |
|
- [anli](https://github.com/facebookresearch/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, |
|
}, |
|
|
