Update README.md

README.md

@@ -73,9 +73,9 @@ Training Performance
 
 The model was trained over three epochs, showing consistent improvement in accuracy and loss:
 
-    <b>Epoch 1:</b> Training Loss: 0.0127, Validation Loss: 0.0174, Accuracy: 0.9966, F1 Score: 0.9966
-    <b>Epoch 2:</b> Training Loss: 0.0149, Validation Loss: 0.0141, Accuracy: 0.9973, F1 Score: 0.9973
-    <b>Epoch 3:</b> Training Loss: 0.0001, Validation Loss: 0.0109, Accuracy: 0.9984, F1 Score: 0.9984
+    Epoch 1: Training Loss: 0.0127, Validation Loss: 0.0174, Accuracy: 0.9966, F1 Score: 0.9966
+    Epoch 2: Training Loss: 0.0149, Validation Loss: 0.0141, Accuracy: 0.9973, F1 Score: 0.9973
+    Epoch 3: Training Loss: 0.0001, Validation Loss: 0.0109, Accuracy: 0.9984, F1 Score: 0.9984
 
 Test Results
 
@@ -90,6 +90,13 @@ The model achieved the following results on the test set:
     Samples per Second: 599.685
     Steps per Second: 9.424
 
-Licensing
 
-This model is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. You are free to use, modify, and distribute this model non-commercially, provided you attribute the original creation.
+License
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+The dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0 International  license. This license allows you to freely share and redistribute the dataset with attribution to the source but prohibits commercial use and the creation of derivative works.
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+Contact information
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+If you have any questions or suggestions, please contact us at [v.resad.89@gmail.com].