Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+language:
+- en
+library_name: transformers
+tags:
+- medical
+- healthcare
+- clinical
+- perioperative care
+base_model: microsoft/deberta-v3-large
+inference: false
+---
+
+
+
+# Training Dataset
+
+This was trained on the [UtkMl's Twitter Spam Detection dataset](https://www.kaggle.com/c/twitter-spam/overview). 
+
+# Metrics
+
+Based on a 80-10-10 train-val-test split, the following results were obtained on the test set:
+- Accuracy: 0.9779
+- Precision: 0.9781
+- Recall: 0.9779
+- F1-Score: 0.9779
+
+## Questions?
+contact me at alba@wustl.edu