Update README.md

README.md

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 #### **DistilBERT Uncased Tokenizer**
 ***
-- The text is tokenized using the 'distilbert-base-uncased' HuggingFace tokenizer.
+- The text is tokenized using the **'distilbert-base-uncased'** HuggingFace tokenizer.
 - For training, the text is cut to a block-size of 200.
 - Max length padding is used to maintain consistent input data shape.
 
 #### **DistilBERT Uncased Model**
 ***
-- The model that is finetuned is the DistilBERT model, 'distilbert-base-uncased'.
+- The model that is finetuned is the DistilBERT model, **'distilbert-base-uncased'**.
 - This is a small and fast text classifier, perfect for real-time inference!
   - 40% less parameters than the base BERT model.
   - 60% faster while preserving 95% performance of the base BERT model.