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README.md
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pipeline_tag: image-classification
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---
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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) on the imagefolder dataset.
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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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</h2>
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This model is intended to demonstrate my ability to solve a complex problem using technology.
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<h2>
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Training & Evaluation Data
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</h2>
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pipeline_tag: image-classification
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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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</h2>
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This model is intended to demonstrate my ability to solve a complex problem using technology.
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<h2>
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Training & Evaluation Data
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</h2>
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