Update README.md

README.md

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   example_title: "Example 4"
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-# German Hotel Review Sentiment Classification
-A model trained on English Hotel Reviews from Switzerland. The base model is the [bert-base-uncased](https://huggingface.co/bert-base-uncased). 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 |
-| :---: | :---: | :---: |:---: |
-| Positive | 86.36% | 95.00% | 90.48% |
-| Negative | 90.91% | 76.92% | 83.33% |
-| Neutral | 50.00% | 42.86% | 46.15% |
-| Accuracy |  |  | 83.00% |
-| Macro Average | 75.76% | 71.59% | 73.32% |
-| Weighted Average | 82.45% | 83.00% | 82.41% |
-
-## Confusion Matrix
-![Confusion Matrix](bert-base-uncased_English_sentiment.jpg)
+# English Hotel Review Sentiment Classification
+A model trained on English Hotel Reviews from Switzerland. The base model is the [bert-base-uncased](https://huggingface.co/bert-base-uncased). 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.