Update README.md

README.md

@@ -1,3 +1,38 @@
 ---
+language: de
+tags:
+- bert
 license: apache-2.0
+
+widget:
+- text: "Das Frühstück ist sehr gut, es gibt auch Laktosefreie Produkte."
+  example_title: "Example 1"
+- text: "Das Personal ist sehr kompetent und sehr freundlich."
+  example_title: "Example 2"
+- text: "Die Zimmer sind wie beschrieben sehr klein, vergleichbar mit einer Kreuzfahrtschiffkabine. "
+  example_title: "Example 3"
+- text: "Scheinwerfer vor dem Zimmer ganze Nacht an und zu hell"
+  example_title: "Example 4"
 ---
+
+# German Hotel Review Sentiment Classification
+A model trained on German Hotel Reviews from Switzerland. The base model is the [bert-base-german-cased](https://huggingface.co/bert-base-german-cased). The last hidden layer of the base model was extracted and a classification layer was added. The entire model was then trained for 5 epochs on our dataset.
+
+# Model Performance
+
+| Classes | Precision | Recall | F1 Score |
+| :--- | :---: | :---: |:---: |
+| Room | 84.62% | 88.00% | 86.27% |
+| Food | 79.17% | 82.61% | 80.85% |
+| Staff | 63.64% | 70.00% | 66.67% |
+| Location | 83.33% | 62.50% | 71.43% |
+| GeneralUtilitys | 76.92% | 76.92% | 76.92% |
+| HotelOrganisation | 26.67% | 30.77% | 28.57% |
+| Unknown | 25.00% | 16.67% | 20.00% |
+| ReasonForStay | 100.00% | 50.00% | 66.67% |
+| Accuracy |  |  | 69.00% |
+| Macro Average | 67.42% | 59.68% | 62.17% |
+| Weighted Average | 69.36% | 69.00% | 68.79% |
+
+## Confusion Matrix
+![Confusion Matrix](bert-base-german-cased_German_classification.jpg)