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pipeline_tag: image-classification
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---
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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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<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>
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