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Update README.md

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@@ -75,7 +75,7 @@ These steps establish the DataLoaders required for training and validation, maki
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  - Enabled mixed-precision training using `to_fp16()` for enhanced training efficiency.
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  **Finding Learning Rate:**
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- - Utilized the `lr_find()` method to determine an optimal learning rate.
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  - Discovered a suitable learning rate range (`lr`) for model training, set as `slice(1e-4, 5e-3)`.
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  This section highlights the model configuration, including the choice of architecture, pretrained weights, and learning rate discovery, ensuring an effective setup for model training and evaluation.
 
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  - Enabled mixed-precision training using `to_fp16()` for enhanced training efficiency.
76
 
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  **Finding Learning Rate:**
78
+ - Utilized the **`lr_find()`** method to determine an optimal learning rate.
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  - Discovered a suitable learning rate range (`lr`) for model training, set as `slice(1e-4, 5e-3)`.
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  This section highlights the model configuration, including the choice of architecture, pretrained weights, and learning rate discovery, ensuring an effective setup for model training and evaluation.