
A binary classifier that classifies if an input text is related to the Brazilian elections or not. 
The classifier was trained on news article headlines taken from online Brazilian news organizations between 2010 and 2022. 

It was trained X epochs using `microsoft/mdeberta-v3-base` as the base model.

<table>
  <tr>
    <td>Accuracy</td>
    <td>0.9203</td>
  </tr>
  <tr>
    <td>F1 Score</td>
    <td>0.9206</td>
  </tr>
</table>


{"language": ["pt"], "license": "mit", "metrics": ["accuracy", "f1"]}
transformers pytorch deberta-v2 text-classification pt license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #deberta-v2 #text-classification #pt #license-mit #autotrain_compatible #endpoints_compatible #region-us 

A binary classifier that classifies if an input text is related to the Brazilian elections or not.
The classifier was trained on news article headlines taken from online Brazilian news organizations between 2010 and 2022.


It was trained X epochs using 'microsoft/mdeberta-v3-base' as the base model.




TAGS
#transformers #pytorch #deberta-v2 #text-classification #pt #license-mit #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #deberta-v2 #text-classification #pt #license-mit #autotrain_compatible #endpoints_compatible #region-us 
