Update README.md

README.md

@@ -1,21 +1,14 @@
-# distilbert-political-tweets
-
-Classify tweet 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 XXXXX unseen random tweets:
-```python
-{'eval_accuracy': 0.9348,
- 'eval_f1': 0.9386,
- 'eval_loss': 0.1975,
- 'eval_precision': 0.9281,
- 'eval_recall': 0.9494}
-```
-
-# License
-[GNU General Public License v3.0](https://www.gnu.org/licenses/gpl-3.0.en.html)
+---
+language:
+- en
+license: lgpl-3.0
+tags:
+- text-classification
+- transformers
+- tf
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+---