---
license: mit
language:
- en
metrics:
- accuracy

pipeline_tag: text-classification
library_name: transformers
tags:
- anti-spam
- spam
- spamclass
- english
- English
- EN
- en
---
## SpamClass 900k
- acc=0.8933311214333112
- prec=0.8849116447666515
- rec=0.8339026473099914
- f1=0.8586502528028138
# Trained on a custom corpus.
# 1x T4 was used during training.
It primarily is meant for english spam, its accurate 89% of the time