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Update README.md

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