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microsoft_swinv2-tiny-patch4-window8-256-batch_16_epoch_4_classes_24_final_withAug

Image Classification
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  2. all_results.json +13 -0
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  - imagefolder
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  name: Image Classification
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  # microsoft_swinv2-tiny-patch4-window8-256-batch_16_epoch_4_classes_24_final_withAug
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- This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2491
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- - Accuracy: 0.9416
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  ## Model description
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  - imagefolder
 
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  name: Image Classification
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  type: imagefolder
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  metrics:
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  - name: Accuracy
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # microsoft_swinv2-tiny-patch4-window8-256-batch_16_epoch_4_classes_24_final_withAug
33
 
34
+ This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the bengali_food_images dataset.
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+ - Loss: 0.2321
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+ - Accuracy: 0.9457
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  ## Model description
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