Update README.md

README.md

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 - Politics
 - Twitter
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-This model adapts [Moritz Laurer's](https://huggingface.co/MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33 ) zero shot model for classification of political texts.
-It currently performs well at identifying support or opposition to politicians or political groups. Further capabilities will be added as more training data is developed.
+# Model Description
+This model adapts [Moritz Laurer's](https://huggingface.co/MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33 ) zero shot model for political texts.
+It is currently trained for zero-shot classification of stances towards political groups and people, although it should also preform well for topic and issue stance classification.
+Further capabilities will be added and benchmarked as more training data is developed.
+
+# Training Data
+The model was trained using the [PoliStance Affect](https://huggingface.co/datasets/mlburnham/PoliStance_Affect) dataset. 
+The data contains ~27,000 political texts about U.S. politicians and political groups that have been triple coded for stance. 
+The test set contains documents about six politicians that were not included in the training set in order to evaluate zero-shot classification performance.
+
+# Evaluation
+Results below are performance on the PoliStance Affect test set.
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/64d0341901931c60161f2a06/NLJtILuPLKtxN0bJJwD0C.png" width="750" height="500" />
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/64d0341901931c60161f2a06/4tOqiINS6BWItRklrqkgY.png" width="750" height="500" />