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@@ -8,6 +8,10 @@ metrics:
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  model-index:
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  - name: resnet-fine_tuned
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  results: []
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -20,20 +24,6 @@ It achieves the following results on the evaluation set:
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  - Loss: 0.1983
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  - Accuracy: 0.9219
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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- ## Training and evaluation data
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-
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- More information needed
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- ## Training procedure
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-
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
@@ -74,4 +64,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.31.0
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  - Pytorch 2.0.1+cpu
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  - Datasets 2.13.1
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- - Tokenizers 0.13.3
 
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  model-index:
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  - name: resnet-fine_tuned
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  results: []
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+ datasets:
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+ - Falah/Alzheimer_MRI
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+ library_name: transformers
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+ pipeline_tag: image-classification
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - Loss: 0.1983
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  - Accuracy: 0.9219
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  - Transformers 4.31.0
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  - Pytorch 2.0.1+cpu
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  - Datasets 2.13.1
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+ - Tokenizers 0.13.3