AEnigmista
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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
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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
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