Update README.md

README.md

@@ -83,21 +83,22 @@ print("Generated Summary:", summary)
 
 #  Training hyperparameters 
 The following hyperparameters were used during training:
-<ul>
-  <li>accumulation_steps:2</li>
-  <li>num_epochs:20</li>
-  <li>num_beams:6</li>
-  <li>learning_rate:lr=5e-5</li>
-   <li>optimizer:AdamW with betas=(0.9,0.999) and epsilon=1e-08</li>
-  <li>activation_function:gelu</li>
-  <li>add_bias_logits:True</li>
-  <li>normalize_embedding:True</li>
-  <li>add_final_layer_norm:False </li>
-  <li>normalize_before:False</li>
-</ul>
-   
-   
-    
+- accumulation_steps: 2
+- num_epochs: 20
+- num_beams: 6
+- learning_rate: lr=5e-5
+- optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
+- activation_function: gelu
+- add_bias_logits: True
+- normalize_embedding: True
+- add_final_layer_norm: False
+- normalize_before: False
+
+# Score
+Evaluate the model with the test dataset of <a href="https://github.com/nakhunchumpolsathien/ThaiSum">ThaiSum</a>, consisting of a total of 11,000 articles, with the following scores:
+- Rouge1: 0.490279		
+- Rouge2: 0.289839
+- Rougel: 0.489334