---
language:
- en
license: lgpl-3.0
tags:
- text-classification
- transformers
- tf
metrics:
- accuracy
- f1
- precision
- recall
---

# distilbert-political-tweets

🗣 🇺🇸 Classify sentiment as Democratic or Republican.

# Model

[DistilBERT base model (uncased)](https://huggingface.co/distilbert-base-uncased) for sequence classification fine-tuned on ~10,000 randomly selected tweets from Democratic and Republican senators from FiveThirtyEight's [twitter-ratio/senators](https://fivethirtyeight.datasettes.com/fivethirtyeight/twitter-ratio%2Fsenators#export) dataset.

# Evaluation

The model was evaluated on a validation dataset of ~3,000 unseen random tweets:
```python
{'eval_accuracy': 0.9348,
 'eval_f1': 0.9386,
 'eval_loss': 0.1975,
 'eval_precision': 0.9281,
 'eval_recall': 0.9494}
```