Update README.md

README.md

@@ -22,6 +22,14 @@ metrics:
  num_train_epochs=8,
 ```
 
+## Model Performance Comparision on Emotion Dataset from Twitter:
+
+| Model | Accuracy | F1 Score |  Test Sample per Second |
+| --- | --- | --- | --- |
+| Distilbert-base-uncased | 93.8 | 93.79 | 398.69 |
+| Bert-base-uncased | 94.05 | 94.06 | 190.152 |
+| Roberta-base | 93.95 | 93.97| 195.639 |
+
 ## How to Use the model:
 ```python
 from transformers import pipeline
@@ -63,11 +71,5 @@ Output:
  }
 ```
 
-## Model Performance Comparision on Emotion Dataset from Twitter:
-
-| Model | Accuracy | F1 Score | Test Loss |  Test Sample per Second |
-| --- | --- | --- | --- | --- |
-| Distilbert | 93.8 | 93.79 | 0.1472 | 398.69 |
-
 ## Reference:
 * [Natural Language Processing with Transformer By Lewis Tunstall, Leandro von Werra, Thomas Wolf](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/)