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DunnBC22
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van-base-Brain_Tumors_Image_Classification

Image Classification
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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- datasets:
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- - imagefolder
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  metrics:
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  - accuracy
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  - f1
@@ -100,7 +98,7 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted f1 | Micro f1 | Macro f1 | Weighted recall | Micro recall | Macro recall | Weighted precision | Micro precision | Macro precision |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
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  | 1.3357 | 1.0 | 180 | 1.5273 | 0.7183 | 0.6631 | 0.7183 | 0.6695 | 0.7183 | 0.7183 | 0.7058 | 0.8219 | 0.7183 | 0.8420 |
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  | 1.3357 | 2.0 | 360 | 1.9359 | 0.7792 | 0.7314 | 0.7792 | 0.7411 | 0.7792 | 0.7792 | 0.7764 | 0.8467 | 0.7792 | 0.8636 |
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - accuracy
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  - f1
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted F1 | Micro F1 | Macro F1 | Weighted Recall | Micro Recall | Macro Recall | Weighted Precision | Micro Precision | Macro Precision |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
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  | 1.3357 | 1.0 | 180 | 1.5273 | 0.7183 | 0.6631 | 0.7183 | 0.6695 | 0.7183 | 0.7183 | 0.7058 | 0.8219 | 0.7183 | 0.8420 |
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  | 1.3357 | 2.0 | 360 | 1.9359 | 0.7792 | 0.7314 | 0.7792 | 0.7411 | 0.7792 | 0.7792 | 0.7764 | 0.8467 | 0.7792 | 0.8636 |