File size: 586 Bytes
2aa7a96
424b27b
2aa7a96
d3cf4bb
 
 
 
 
 
 
 
221b9f3
d3cf4bb
221b9f3
d3cf4bb
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
---
license: apache-2.0
---
# Model Description

This project aims to build a model capable of predicting the identity of a twitter user from their twitter. 

_Before proceeding I would raise the minor caveat that identity here is defined as male, female, or a brand. In some of the code snippets gender is used in place of identity because of how the column was labelled in the data._

## Output Key
Label_0 = Brand 

Label_1 = Female

Label_2 = Male


## Base model
Base model is the mult [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased)