Update README.md

README.md

@@ -15,13 +15,21 @@ metrics:
 # robert-base-emotion
 
 ## Model description:
-`robert-base` finetuned on the emotion dataset using HuggingFace Trainer.
+`robert-base` finetuned on the emotion dataset using HuggingFace Trainer with below Hyperpatameters
 ```
  learning rate 2e-5, 
  batch size 64,
  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