
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,
    },

{"language": "en", "license": "apache-2.0", "tags": ["natural-language-inference", "misogyny"], "pipeline_tag": "text-classification", "widget": [{"text": "Las mascarillas causan hipoxia. Wearing masks is harmful to human health", "example_title": "Natural Language Inference"}]}
transformers pytorch xlm-roberta text-classification natural-language-inference misogyny en license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #xlm-roberta #text-classification #natural-language-inference #misogyny #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

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.



Multilabels
===========



```
label2id={
    "contradiction": 0,
    "entailment": 1,
    "neutral": 2,
},

```


TAGS
#transformers #pytorch #xlm-roberta #text-classification #natural-language-inference #misogyny #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #xlm-roberta #text-classification #natural-language-inference #misogyny #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
