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

pipeline_tag: text-classification
library_name: transformers
tags:
- anti-spam
- spam
- spamclass
- english
- English
- EN
- en
---
## SpamClass 200k
- acc=0.8309555408095554
- prec=0.810126582278481
- rec=0.7378309137489325
- f1=0.7722905027932961
# Trained on a custom corpus.
# 1x T4 was used during training.
It primarily is meant for english spam, its accurate 83% of the time.