Update README.md

README.md

@@ -65,15 +65,15 @@ generated_text = generate_text(prompt)
 print(generated_text)
 ```
 
-## Training Details
 
-<!-- -->
+
+<!--## Training Details -->
 ### Training Data
 This link provides the Evol-Instruct question-and-answer dataset
 https://raw.githubusercontent.com/M-e-e-n-a/Synthetic-Dataset-Creation/main/combined_dataset.json
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-### Training Procedure
+<!--### Training Procedure -->
 
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
 
@@ -197,7 +197,7 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 [More Information Needed]--->
 ## Results
 
- ## Evaluation Metrics
+## Evaluation Metrics
 
 <table>
   <thead>
@@ -211,60 +211,61 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
   </thead>
   <tbody>
     <tr>
-      <td>ROUGE-1</td>
-      <td>0.3117</td>
-      <td>0.3188</td>
-      <td>0.2637</td>
-      <td>0.3281</td>
+      <td align="center">ROUGE-1</td>
+      <td align="center">0.3117</td>
+      <td align="center">0.3188</td>
+      <td align="center">0.2637</td>
+      <td align="center">0.3281</td>
     </tr>
     <tr>
-      <td>ROUGE-2</td>
-      <td>0.1867</td>
-      <td>0.1176</td>
-      <td>0.1573</td>
-      <td>0.1270</td>
+      <td align="center">ROUGE-2</td>
+      <td align="center">0.1867</td>
+      <td align="center">0.1176</td>
+      <td align="center">0.1573</td>
+      <td align="center">0.1270</td>
     </tr>
     <tr>
-      <td>ROUGE-L</td>
-      <td>0.1818</td>
-      <td>0.1449</td>
-      <td>0.2637</td>
-      <td>0.2031</td>
+      <td align="center">ROUGE-L</td>
+      <td align="center">0.1818</td>
+      <td align="center">0.1449</td>
+      <td align="center">0.2637</td>
+      <td align="center">0.2031</td>
     </tr>
     <tr>
-      <td>ROUGE-LSUM</td>
-      <td>0.1818</td>
-      <td>0.1449</td>
-      <td>0.2637</td>
-      <td>0.2031</td>
+      <td align="center">ROUGE-LSUM</td>
+      <td align="center">0.1818</td>
+      <td align="center">0.1449</td>
+      <td align="center">0.2637</td>
+      <td align="center">0.2031</td>
     </tr>
     <tr>
-      <td>METEOR</td>
-      <td>0.0693</td>
-      <td>0.3088</td>
-      <td>0.4377</td>
-      <td>0.3662</td>
+      <td align="center">METEOR</td>
+      <td align="center">0.0693</td>
+      <td align="center">0.3088</td>
+      <td align="center">0.4377</td>
+      <td align="center">0.3662</td>
     </tr>
     <tr>
-      <td>BERTScore</td>
-      <td>0.8262</td>
-      <td>0.8538</td>
-      <td>0.9070</td>
-      <td>0.8782</td>
+      <td align="center">BERTScore</td>
+      <td align="center">0.8262</td>
+      <td align="center">0.8538</td>
+      <td align="center">0.9070</td>
+      <td align="center">0.8782</td>
     </tr>
     <tr>
-      <td>G-Eval</td>
-      <td>0.35</td>
-      <td>0.42</td>
-      <td>0.78</td>
-      <td>0.87</td>
+      <td align="center">G-Eval</td>
+      <td align="center">0.35</td>
+      <td align="center">0.42</td>
+      <td align="center">0.78</td>
+      <td align="center">0.87</td>
     </tr>
     <tr>
-      <td>QAG Score</td>
-      <td>0.1046</td>
-      <td>0.2061</td>
-      <td>0.3762</td>
-      <td>0.2609</td>
+      <td align="center">QAG Score</td>
+      <td align="center">0.1046</td>
+      <td align="center">0.2061</td>
+      <td align="center">0.3762</td>
+      <td align="center">0.2609</td>
     </tr>
   </tbody>
 </table>
+