Update README.md

README.md

@@ -41,14 +41,16 @@ The model distinguishes between **positive** and **negative** sentiments in real
 - **Tokenizer**: `bert-base-multilingual-cased` tokenizer
 - **Accuracy**: Evaluated on 10% holdout from training set
 
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+
 🔍 Training Details
 
-Framework: 🤗 Transformers + PyTorch
-Training Time: ~2 epochs
-Optimizer: AdamW (default in Trainer)
-Batch Size: 16
-Evaluation Metric: Accuracy, F1, Precision, Recall
-Environment: Google Colab
+- Framework: 🤗 Transformers + PyTorch
+- Training Time: ~2 epochs
+- Optimizer: AdamW (default in Trainer)
+- Batch Size: 16
+- Evaluation Metric: Accuracy, F1, Precision, Recall
+- Environment: Google Colab
 
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 ## 📊 Evaluation Results