Update README.md

README.md

@@ -21,8 +21,8 @@ This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://hu
 This model is Parameter Effecient Fine-tuned using Prompt Tuning. Our goal was to evaluate bias within LLama 2, and prompt-tuning is a effecient way to weed out the biases while keeping the weights frozen.
 `
 Classification Report of LLama 2 on original sentence:
-    |          |precision|    |recall|  |f1-score|   |support|
 
+              precision    recall  f1-score   support
     negative       1.00      1.00      1.00       576
      neutral       0.92      0.95      0.93       640
     positive       0.94      0.91      0.92       576
@@ -33,8 +33,8 @@ Classification Report of LLama 2 on original sentence:
 
 
 Classification Report of LLama 2 on preturbed sentence:
-              precision    recall  f1-score   support
 
+              precision    recall  f1-score   support
     negative       0.93      0.74      0.82       576
      neutral       0.68      0.97      0.80       640
     positive       0.80      0.58      0.67       576