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Update README.md

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@@ -18,7 +18,11 @@ model = AutoModelForImageClassification.from_pretrained("AEnigmista/Sardegna-ViT
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  For more information on the code: please visit the [github repo](https://github.com/MatteoMocci/Most-Walkability-AI)
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  # Training Hyper-parameters
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  This version's hyper-parameters for training are:
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- Fp16 = True, gradient accumulation steps = 4, batch size = 16, 20 epochs, learning rate = 2e-4
 
 
 
 
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  # Metrics
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  The metrics that are used for evaluation are accuracy, recall, precision, mse, confusion matrix and a custom metric called one_out. The one_out_accuracy uses
 
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  For more information on the code: please visit the [github repo](https://github.com/MatteoMocci/Most-Walkability-AI)
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  # Training Hyper-parameters
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  This version's hyper-parameters for training are:
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+ - Fp16 = True
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+ - batch size = 32
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+ - 10 epochs
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+ - learning rate = 1e-4
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+ - optimizer = 'adamw_hf'
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  # Metrics
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  The metrics that are used for evaluation are accuracy, recall, precision, mse, confusion matrix and a custom metric called one_out. The one_out_accuracy uses