Update README.md

README.md

@@ -38,9 +38,6 @@ Key Features:
   - Fine-tuning performed for 3 epochs with a batch size of 16.
   - Learning rate: 2e-5.
   - MLM Probability: 15%.
-- **Tools**:
-  - **Hugging Face Transformers Library**
-  - **PyTorch**
 
 ## Evaluation Results
 
@@ -78,6 +75,7 @@ top_5_tokens = torch.topk(mask_token_logits, 5, dim=1).indices[0].tolist()
 predicted_words = [tokenizer.decode([token]) for token in top_5_tokens]
 
 print(f"Predicted words: {predicted_words}")
+,,,
 
 
 @misc{EgBERT,