transformers pytorch bert text-classification spam subject pt_br en gmail pt license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
language:
- pt
- en
library_name: transformers
license: apache-2.0
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- spam
- subject
- bert
- pt_br
- en
- gmail
---

# Model Card for Model ID
Text Classification Model for SPAM/HAM


## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->
Text Classification Model for SPAM identification in Portuguese and English Email Subjects.

Trained on my own email inbox dataset of aprox. 50.000 emails.

**v1 accuracy:** 0.9429411764705883


- **Developed by:** rafacost
- **Model type:** Text Classification
- **Language(s) (NLP):** Portuguese Brazillian and English
- **License:** Apache 2.0
- **Finetuned from model [optional]:** bert-base-multilingual-cased