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efficientformer-l3-300-Brain_Tumors_Image_Classification

Image Classification
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@@ -103,7 +103,7 @@ 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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  | 1.2856 | 1.0 | 180 | 1.4677 | 0.7284 | 0.6798 | 0.7284 | 0.6829 | 0.7284 | 0.7284 | 0.7133 | 0.8156 | 0.7284 | 0.8350 |
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  | 1.2856 | 2.0 | 360 | 2.1421 | 0.7563 | 0.7146 | 0.7563 | 0.7211 | 0.7563 | 0.7563 | 0.7471 | 0.8381 | 0.7563 | 0.8551 |
 
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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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  | 1.2856 | 1.0 | 180 | 1.4677 | 0.7284 | 0.6798 | 0.7284 | 0.6829 | 0.7284 | 0.7284 | 0.7133 | 0.8156 | 0.7284 | 0.8350 |
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  | 1.2856 | 2.0 | 360 | 2.1421 | 0.7563 | 0.7146 | 0.7563 | 0.7211 | 0.7563 | 0.7563 | 0.7471 | 0.8381 | 0.7563 | 0.8551 |