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Update README.md

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@@ -98,4 +98,6 @@ This section highlights the model configuration, including the choice of archite
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  - Saved the trained model with the name 'model1_freezed' for future use.
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  - This step ensures that the model's architecture and learned weights are preserved and can be easily loaded and deployed for various tasks.
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- This section provides an overview of the model's training performance, including training and validation losses, accuracy, and error rates. It also emphasizes the importance of preserving the trained model for future use.
 
 
 
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  - Saved the trained model with the name 'model1_freezed' for future use.
99
  - This step ensures that the model's architecture and learned weights are preserved and can be easily loaded and deployed for various tasks.
100
 
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+ This section provides an overview of the model's training performance, including training and validation losses, accuracy, and error rates. It also emphasizes the importance of preserving the trained model for future use.
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