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  pipeline_tag: image-classification
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  ---
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- <h1>efficientformer-l3-300-Brain_Tumors_Image_Classification</h1>
 
 
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  This model is a fine-tuned version of [snap-research/efficientformer-l3-300](https://huggingface.co/snap-research/efficientformer-l3-300).
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  It achieves the following results on the evaluation set:
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  - Loss: 2.2761
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  - Accuracy: 0.7817
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- - Weighted f1: 0.7381
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- - Micro f1: 0.7817
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- - Macro f1: 0.7465
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- - Weighted recall: 0.7817
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- - Micro recall: 0.7817
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- - Macro recall: 0.7771
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- - Weighted precision: 0.8442
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- - Micro precision: 0.7817
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- - Macro precision: 0.8613
 
 
 
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  <div style="text-align: center;">
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  <h2>
 
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  pipeline_tag: image-classification
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  ---
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+ <h1>
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+ efficientformer-l3-300-Brain_Tumors_Image_Classification
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+ </h1>
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  This model is a fine-tuned version of [snap-research/efficientformer-l3-300](https://huggingface.co/snap-research/efficientformer-l3-300).
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  It achieves the following results on the evaluation set:
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  - Loss: 2.2761
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  - Accuracy: 0.7817
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+ - F1
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+ - Weighted: 0.7381
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+ - Micro: 0.7817
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+ - Macro: 0.7465
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+ - Recall
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+ - Weighted: 0.7817
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+ - Micro: 0.7817
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+ - Macro: 0.7771
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+ - Precision
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+ - Weighted: 0.8442
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+ - Micro: 0.7817
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+ - Macro: 0.8613
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  <div style="text-align: center;">
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  <h2>