Update README.md

README.md

@@ -22,7 +22,7 @@ The model is trained to classify sentences containing idiomatic expressions as e
 ## Model Details
 
 - **Developed by:** Abdallah Ashraf
-- **Language(s) (NLP):** [English]
+- **Language(s) (NLP):** english
 - **Finetuned from model:** bert-base-uncased
 
 ## Uses
@@ -32,7 +32,7 @@ The model is trained to classify sentences containing idiomatic expressions as e
 The model can be used directly for classifying idiomatic expressions in text data.
 
 
-### Downstream Use [optional]
+### Downstream Use
 
 The model can also be fine-tuned for specific downstream tasks, such as sentiment analysis or natural language understanding, by incorporating it into larger NLP pipelines.
 
@@ -113,13 +113,13 @@ The model was trained using the AdamW optimizer with a learning rate of 2e-6 and
 
 #### Training Hyperparameters
 
-Training Hyperparameters
-Training regime: Full fine-tuning
-Optimizer: AdamW
-Learning rate: 2e-6
-momentum: 90-95
-Weight decay: 0.01
-loss function : Binary cross entropy loss
+* Training Hyperparameters
+* Training regime: Full fine-tuning
+* Optimizer: AdamW
+* Learning rate: 2e-6
+* momentum: 90-95
+* Weight decay: 0.01
+* loss function : Binary cross entropy loss
 
 
 ## Evaluation