---
license: mit
datasets:
- SetFit/enron_spam
metrics:
- accuracy
library_name: transformers
pipeline_tag: text-classification
tags:
- email
- multilingual
---

# XLM-RoBERTa for multilingual spam detection

I trained this model to detect spam in german as there is no german labeled spam mail dataset, and I could not find an already pretrained multilingual model for the enron spam dataset.

## Intended use
Identifying spam mail in any XLM-RoBERTa-supported language.
Note that there was no thorough testing on it's intended use - only validation on the enron mail dataset.

## Evaluation

Eval on test set of enron spam:

- loss: 0.0315
- accuracy: 0.996